Innovaciencia
type: channel
description: INNOVACIENCIA is an international open-access scientific journal in basic and applied sciences, publishing high-quality original research articles, short scientific communications, and systematic reviews, under a continuous publication model, in the areas of Agricultural and Biological Sciences, Chemistry, and Mathematics (including quantitative modeling and applied statistical analysis). It has an editorial team that offers rapid communication and a publication period of 16-24 weeks, without charging publication fees. Additionally, it has an accelerated indexing plan to important international databases, which has allowed research published in the journal to become increasingly visible and accessible to a global audience of researchers. The journal is dedicated to publishing research that has a significant impact on the scientific community and society in general. Therefore, researchers from all parts of the world are welcome to submit their work for consideration and publication in the journal. E-ISSN: 2346-075X Indexed in: Scopus, DOAJ, REDIB, Google Scholar, Miar.
publisher: Universidad de Santander
language: en
publication name: Innovaciencia
issn: 2346-075X
copyright: All articles published in this scientific journal are protected by copyright. The authors retain copyright and grant the journal the right of first publication, with the work simultaneously licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0), which permits sharing the work with authorship recognition and without commercial purposes. Readers may copy and distribute the material from this journal issue for non-commercial purposes in any medium, provided the original work is cited and credit is given to the authors and the journal. Any commercial use of the material from this journal is strictly prohibited without written permission from the copyright holder. For more information on the copyright of the journal and open access policies, please visit our website.
items: Radial Domichnia–Fodinichnia ichnofossil from the Lower Cretaceousof San Andrés (Santander, Colombia)
items: Automated Colony-Forming Unit (CFU) Counting of Bacteria Using Digital Image Analysis Through Computer Vision with Python
items: Natural infection by Trypanosoma cruzi in Rhodnius robustus I infesting Attalea butyracea palms in El Zulia, Norte de Santander, Colombia
items: Zinc Oxide Nanoparticles Induce Genetic Transformation of Silybum marianum L. Mediated by Agrobacterium rhizogenes ATCC13332
items: Floristic Composition and Structural Patterns of Riparian Vegetation in the La Vega River Micro-Watershed, Tunja–Boyacá, Colombia
items: Robotics in the medicine of the future: treatment and rehabilitation
items: Non-destructive classification of Peruvian medicinal plants using NIR hyperspectral imaging (1300–1700 nm) and machine learning
items: Characterization of Ceropegia vietnamensis: a study based on morphological, microanatomical and molecular data
items: Ultrasound-assisted thermal processing: Microbial safety and physicochemical attributes of Tejuino, a Mexican heritage fermented beverage
items: Macroinvertebrate Communities and Ecological Quality of Springs under Anthropogenic and Thermal Influences in the Chili RiverSub-Basin, Arequipa, Peru
items: Semiparametric Time Series Regression Using Exponential Complex Fourier Series for Temperature Prediction in the Tropical Rainforest of Samarinda
items: Clustering and Forecasting Beef Prices: WPGMA and Time Series Regression Integration
items: Leveraging Artificial Intelligence to Enhance Mathematics Education and Overcome Instructional Challenges
items: Induction of Epidermal Pigmentation in ICR Mice through Weekly Sunlight Exposure: A Pilot Experimental Study
items: Prevalence of gastrointestinal parasites in slaughterhouse horses and donkeys from the North and Northeast of Colombia
items: Therapeutic potential of biosynthesized nanoparticles using Echinacea species in biological applications
items: Canine Lead Exposure in Automotive Repair Workshops: A Pilot Study Conducted in Cajamarca City, Peru
items: Assessment of Strength and Stability in Cold Asphalt Mixtures Reinforced with 0.20% and 0.25% Polypropylene Microfibers
items: Effects of Crude Ground Biarum bovei Powder on the Morphophysiological Characteristics of Two Lupinus albus L. Varieties
items: Astichopus multifidus and Holothuria floridana from Yucatecan Coast as potential source of antifungal agents.
items: Integration of Virtual Manipulatives for Teaching and Learning Perimeter and Area in Lower Secondary Education
items: Suicidal Risk in Penitentiary Facilities in Bucaramanga (Colombia): A Logit Model for Early Detection
items: Automatic shape optimization of the first step labyrinth seal of a geothermal steam turbine
items: Bioindicators and Heavy Metal Pollution in High-Andean Peruvian Lakes: A Limnological Approach.
items: Benthic Macroinvertebrates as Bioindicators for Assessing Water Quality in the Cañipia River, Cusco, Peru.
items: The spirit of this journal
items: Cadmium and Lead Contamination in Highland Honey from Peru: A Potential Health Risk
items: Analysis of generic competencies using a Linear Regression Model: A case study in short-cycle programs
items: Microplastics in the Honey bee (Apis mellifera) from Urban Apiaries in Metropolitan Lima, Peru
items: Approaches to Calculating Urban Project Boundaries (Agglomeration) in Shymkent City, Kazakhstan

Radial Domichnia–Fodinichnia ichnofossil from the Lower Cretaceousof San Andrés (Santander, Colombia)
type: item
description: Introduction. Burrow and tunnel systems preserved in sandy and muddy marine substrates are commonly associated with the behavioral activities of polychaete worms and other benthic invertebrates, providing relevant ethological information in sedimentary records. Objectives. This study aims to i) describe the morphological and ethological characteristics of a radial ichnofossil, ii) evaluate its possible correspondence with previously established radial ichnogenera, and iii) propose paleoecological interpretations of the trace-making organism and its depositional environment. Materials and Methods. A detached sandstone block from the Aguardiente Formation (Albian–Cenomanian, Lower Cretaceous) was examined along the banks of the Hisgaura River, San Andrés municipality (Santander, Colombia). The trace architecture was documented through high-resolution photography, digital image processing, and artificial intelligence–assisted three-dimensional reconstruction to enhance visualization of its morphology and internal organization. UPGMA–Jaccard similarity and parsimony analyses were applied to assess relationships with other radial and rosette ichnogenera. Results. The specimen is preserved in full relief and consists of a central ellipsoidal chamber from which slightly sinuous tubular galleries radiate, locally arranged in superposed tiers. Similarity analysis groups the structure with Arenituba, Guanshanichnus, and Hartsellea. Parsimony analysis recovered a single most- parsimonious tree (length = 32 steps; CI = 0.34; RI = 0.7) in which the specimen forms part of a clade characterized primarily by branched galleries and shallow-marine occurrence. Conclusions. The structure records ethological evidence of a benthic organism inhabiting sandy shallow-marine environments. Diagnostic differences preclude confident assignment to any previously established radial ichnogenus.
subject: Original research and innovation article
  topic: section
subject: Aguardiente Formation
  topic: keywords
subject: radial ichnofossil
  topic: keywords
subject: Domichnia–Fodinichnia
  topic: keywords
subject: Polychaeta
  topic: keywords
subject: Lower Cretaceous
  topic: keywords
subject: Santander
  topic: keywords
subject: paleobiology
  topic: subjects
subject: paleobiology
  topic: disciplines
creator: Eliana Narvaez
creator: Javier Hernando Jerez Jaimes
rights: Copyright (c) 2026 Innovaciencia https://creativecommons.org/licenses/by-nc/4.0
date: 2026-04-14
publication date: 2026-04-14
doi: 10.15649/2346075X.5916

Automated Colony-Forming Unit (CFU) Counting of Bacteria Using Digital Image Analysis Through Computer Vision with Python
type: item
description: Introduction. Quantitative analysis of bacterial growth is essential in microbiological studies, as it enables the evaluation of microbial survival and proliferation rates, facilitating control and manipulation of microbial communities. However, traditional manual counting of colony-forming units (CFUs) on Petri dishes presents major limitations, including high time and resource consumption, and variability linked to the analyst’s subjectivity. Objectives. This study aimed to develop a Python-based script for efficient and accurate CFU counting using digital images. Materials and Methods. Water samples were collected from supraglacial lakes of the Llaca Glacier (Peru) and inoculated on nutrient agar and R2A media using the spread plate method. Cultures were incubated at 5 °C for 30 days and photographed using a custom-built photographic chamber that standardized image capture. Results. The script, implemented in Google Colaboratory, follows a three-stage process: preprocessing, segmentation, and colony counting. Gaussian adaptive thresholding was selected for segmentation due to its robustness under variable image conditions. The system’s performance was evaluated by comparing automated results with manual counts across 91 images. The method demonstrated high efficiency, achieving an precision of 97% ± 0.12, a recall of 95% ± 1.10, and an F-measure of 96% ± 0.10, with a processing time of only 0.4 seconds per image. Conclusions. These results demonstrate that the system offers a reliable, fast, and low-cost alternative for CFU quantification. Its design is simple and adaptable, making it a replicable tool for microbiological laboratories, especially in resource-limited settings.
subject: Original research and innovation article
  topic: section
subject: CFU counting
  topic: keywords
subject: Bacteria
  topic: keywords
subject: automation
  topic: keywords
subject: image analysis
  topic: keywords
subject: programming
  topic: keywords
subject: Automated UFC counting
  topic: subjects
subject: Computer vision
  topic: subjects
subject: Python
  topic: subjects
subject: Digital image processing
  topic: subjects
subject: Engineering and Technology
  topic: disciplines
subject: Data Science and Engineering for Artificial Intelligence
  topic: disciplines
creator: Mayté Soledad Ramirez Panca
creator: Francisco Nemecio Castillo Vergara
creator: Sofia Cristina Ana Rodriguez Venturo
creator: Holger Edison Alva Mejía
creator: Edwin Anibal Loarte Cadenas
creator: Katy Damacia Medina Marcos
creator: Eladio Guillermo Tuya Castillo
rights: Copyright (c) 2026 Innovaciencia https://creativecommons.org/licenses/by-nc/4.0
date: 2026-02-01
publication date: 2026-02-01
doi: 10.15649/2346075X.5677

Natural infection by Trypanosoma cruzi in Rhodnius robustus I infesting Attalea butyracea palms in El Zulia, Norte de Santander, Colombia
type: item
description: Introduction. Palms such as Attalea butyracea function as key sylvatic ecotopes for species of the genus Rhodnius, providing shelter, suitable microclimatic conditions, and access to vertebrate hosts, thus contributing to the maintenance of Trypanosoma cruzi transmission cycles in disturbed landscapes. Objective. To evaluate the infestation of Attalea butyracea palms by triatomines and to determine natural infection by T. cruzi using parasitological and molecular methods in El Zulia, Norte de Santander, Colombia. Materials and methods. Between August and September 2021, 100 palms were sampled using modified Angulo traps. The collected insects were identified morphologically and through sequencing of the mitochondrial cytochrome b gene. Infection was assessed by microscopic examination of intestinal contents and PCR detection of T. cruzi DNA. Results. A total of 64 specimens of the genus Rhodnius were collected, with an infestation index of 30% of the sampled palms. Natural infection was 31% by microscopy and 40% by PCR. Molecular analysis confirmed the presence of Rhodnius robustus I. Conclusions. The detection of R. robustus I highlights the importance of integrating molecular surveillance to improve the accuracy of vector identification and to monitor their dispersal and adaptation capacity. Continuous entomological surveillance in natural ecotopes is essential to prevent reinfestation and to consolidate the achievements of control programs.
subject: Original research and innovation article
  topic: section
subject: : Rhodnius
  topic: keywords
subject: Chagas disease
  topic: keywords
subject: Trypanosoma cruzi
  topic: keywords
subject: cytochrome b
  topic: keywords
subject: Attalea butyracea
  topic: keywords
subject: Colombia
  topic: keywords
subject: Palms
  topic: keywords
subject: Ecology
  topic: subjects
subject: Biodiversity
  topic: subjects
subject: Entomology
  topic: disciplines
subject: Molecular Biology
  topic: disciplines
creator: Tania Prieto Silva
creator: Ingrid Yolanda Blanco
creator: Carolina Oviedo Niño
creator: Reinaldo Gutiérrez Marín
rights: Copyright (c) 2026 Innovaciencia https://creativecommons.org/licenses/by-nc/4.0
date: 2026-04-10
publication date: 2026-04-10
doi: 10.15649/2346075X.5823

Zinc Oxide Nanoparticles Induce Genetic Transformation of Silybum marianum L. Mediated by Agrobacterium rhizogenes ATCC13332
type: item
description: Introduction. Nanoparticles have recently garnered substantial interest across various scientific disciplines due to their novel physicochemical properties. These particles have found broad applications in medicine, agriculture, environmental sciences, and pharmaceutical technologies. Objectives. To investigate the effect of zinc oxide nanoparticles (ZnO NPs) on the transformation efficiency of the medicinal plant milk thistle (Silybum marianum L.) mediated by Agrobacterium rhizogenes. Materials and Methods. Explants derived from 20-day-old seedlings were directly injected with Agrobacterium rhizogenes ATCC13332 using a 0.5 mL insulin syringe. Treated explants were cultured on solidified Murashige and Skoog (MS) medium devoid of growth regulators. Results. Hairy roots were induced in 55.86% of leaf explants, marking the first visible indicator of successful genetic transformation. Callus induction from hairy roots reached a 100% success rate on MS2 medium (MS + 1.0 mg·L-¹ benzyladenine [BA] + 0.1 mg·L-¹ indole-3-butyric acid [IBA]). Polymerase chain reaction (PCR) analysis confirmed the presence of the rolB gene in the genomic DNA of transformed tissues. Shoot regeneration occurred during hairy root maintenance. Furthermore, supplementing MS medium with varying concentrations (25–300 μg/mL) of ZnO NPs significantly enhanced hairy root induction, achieving a maximum rate of 100% in leaf explants cultured on MS medium containing 150 μg/mL ZnO NPs. Conclusions. Zinc oxide nanoparticles effectively enhanced the genetic transformation frequency in S. marianum, demonstrating their potential as a nanobiotechnological tool in plant genetic engineering.
subject: Original research and innovation article
  topic: section
subject: Agrobacterium rhizogenes
  topic: keywords
subject: milk thistle
  topic: keywords
subject: nanoparticles
  topic: keywords
subject: rolB
  topic: keywords
subject: Plant Tissue Culture
  topic: subjects
subject: Biology
  topic: disciplines
creator: Islam Yasir Abdullah Al-Hamdany
creator: Shifa M. Salih
creator: Muthanna Jasim Mohammed
rights: Copyright (c) 2025 Innovaciencia https://creativecommons.org/licenses/by-nc/4.0
date: 2025-10-27
publication date: 2025-10-27
doi: 10.15649/2346075X.5211

Floristic Composition and Structural Patterns of Riparian Vegetation in the La Vega River Micro-Watershed, Tunja–Boyacá, Colombia
type: item
description: Introduction. Urban riparian corridors are critical for biodiversity conservation, hydrological regulation, and ecosystem connectivity. However, anthropogenic pressures and extreme climate events have disrupted their ecological integrity, particularly in rapidly urbanizing Andean regions. Objectives. This study aims to characterize the floristic composition and structural attributes of woody vegetation in a riparian section of the La Vega River microwatershed (Tunja, Boyacá), which was disturbed by dredging activities following the 2010– 2011 La Niña event. Materials and methods. Field sampling was conducted through 20 transects (50 × 2 m; total area 0.2 ha) along both riverbanks within the university campus. All woody individuals with a diameter at breast height (DBH) > 1 cm were recorded. Structural parameters (density, dominance, frequency, Importance Value Index), species richness estimators, and diversity indices (Shannon-Wiener, Simpson, Margalef) were calculated. Results. A total of 782 individuals were recorded, comprising 37 species, 28 genera, and 21 families. The family Fabaceae was dominant, with exotic species such as Acacia decurrens (IVI = 139%), A. mearnsii, and A. melanoxylon prevailing across the site. Native species including Juglans neotropica, Sambucus peruviana, Quercus humboldtii, and Prunus serotina showed lower abundance but play important ecological roles. Conclusions. The high dominance of exotic Acacia species indicates ongoing ecological alteration within the riparian corridor. Active management and restoration strategies are needed to curb the spread of invasive species and promote the recovery of native riparian vegetation.
subject: Original research and innovation article
  topic: section
subject: Acacia decurrens
  topic: keywords
subject: biodiversity
  topic: keywords
subject: watershed
  topic: keywords
subject: woody flora
  topic: keywords
subject: introduced species.
  topic: keywords
subject: Biodiversity
  topic: disciplines
creator: Edna Carolina Sánchez Chavez
creator: Manuel Galvis Rueda
rights: Copyright (c) 2025 Innovaciencia https://creativecommons.org/licenses/by-nc/4.0
date: 2025-12-12
publication date: 2025-12-12
doi: 10.15649/2346075X.5296

Robotics in the medicine of the future: treatment and rehabilitation
type: item
description: Introduction. The growing demand for effective post-stroke rehabilitation has accelerated the integration of robotic systems incorporating artificial intelligence and sensor technologies into clinical practice. Objective. To evaluate the effectiveness of robotic systems in the rehabilitation of patients with ischemic stroke in Ukrainian clinics. Materials and Methods. A controlled experimental study was conducted with 62 patients randomly assigned to control (conventional physiotherapy) and experimental (physiotherapy plus robotic-assisted therapy) groups. Robotic exoskeletons and sensorbased simulators were used. Outcomes were assessed using validated tools: Fugl-Meyer Assessment (FMA), Timed Up and Go (TUG), and 6-Minute Walk Test (6MWT). Adaptive algorithms adjusted therapy intensity to individual needs. Results. The experimental group showed greater improvement compared with the control group, with a mean increase of 6.63 points on the FMA scale, a reduction of 4.17 seconds in TUG time, and an increase of 44.47 meters in 6MWT distance. Improvements were statistically significant (p < 0.05) and consistent with international evidence supporting early and intensive rehabilitation. However, the relatively small sample size and short follow-up period limit generalizability. Conclusions. Robotic-assisted rehabilitation significantly enhances motor function, endurance, and functional mobility after stroke. These findings support its integration as a complementary strategy within clinical rehabilitation protocols. Further multicenter studies with long-term follow-up are needed to standardize protocols and evaluate sustainability of outcomes.
subject: Original research and innovation article
  topic: section
subject: Robotics
  topic: keywords
subject: Stroke rehabilitation
  topic: keywords
subject: Exoskeletons
  topic: keywords
subject: Artificial intelligence
  topic: keywords
subject: Neurorehabilitation
  topic: keywords
creator: Inna Mezentseva
creator: Olha Pavlovych
creator: Petro Patiei
creator: Valentyna Yarlykova
creator: Ihor Savchuk
rights: Copyright (c) 2026 Innovaciencia https://creativecommons.org/licenses/by-nc/4.0
date: 2026-03-27
publication date: 2026-03-27
doi: 10.15649/2346075X.5708

Non-destructive classification of Peruvian medicinal plants using NIR hyperspectral imaging (1300–1700 nm) and machine learning
type: item
description: Introduction. The identification of native medicinal plants often relies on destructive, time-consuming, or expert-dependent methods. This study proposes the use of near-infrared hyperspectral imaging (NIR-HSI) and machine learning as alternative, non-invasive tools for the rapid discrimination of three medicinal species from northern Peru: Peperomia inaequalifolia (congona), Alternanthera sp. (lancetilla), and Teline monspessulana (retama). Objectives. To evaluate the performance of multiclass classification models applied to preprocessed NIR-HSI spectra, aiming to develop a reliable system for plant identification and quality control. Materials and Methods. A total of 1467 spectra were collected using a NIR-HSI camera in the range of 1300–1700 nm. Spectral data were preprocessed using Savitzky–Golay smoothing and standard normal variate (SNV). Seven machine learning classifiers were trained and evaluated through stratified 5-fold cross-validation, including Random Forest, Gradient Boosting, XGBoost, and Ridge Classifier. Results. Random Forest achieved the highest performance (accuracy = 0.9959), with a ROC-AUC of 1.00. The remaining models yielded mean accuracies ranging from 0.9720 to 0.9945, with ROC-AUC values close to 1.00, indicating strong discriminative capability. Conclusions. The combination of NIR-HSI and supervised learning models enables highly accurate classification of medicinal plants. This approach shows potential for traceability, quality assurance, and ethnobotanical validation, particularly in decentralized or resource-limited settings.
subject: Original research and innovation article
  topic: section
subject: NIR-HSI
  topic: keywords
subject: machine learning
  topic: keywords
subject: medicinal plants
  topic: keywords
subject: supervised classification
  topic: keywords
subject: quality control
  topic: keywords
subject: Machine Learning
  topic: subjects
subject: Biology
  topic: disciplines
subject: machine learning
  topic: disciplines
subject: Data Science and Engineering for Artificial Intelligence
  topic: disciplines
creator: André Rodríguez León
creator: Jimy Oblitas Cruz
creator: Jhonsson Luis Quevedo-Olaya
rights: Copyright (c) 2026 Innovaciencia https://creativecommons.org/licenses/by-nc/4.0
date: 2026-04-20
publication date: 2026-04-20
doi: 10.15649/2346075X.5680

Characterization of Ceropegia vietnamensis: a study based on morphological, microanatomical and molecular data
type: item
description: Introduction. Ceropegia vietnamensis is a recently described, range-restricted species endemic to the Binh Chau–Phuoc Buu Nature Reserve, Vietnam. It closely resembles C. laotica, C. bulbosa, and C. murlensis in general morphology and floral traits, making its distinction based solely on external characters challenging. Objectives. This study provides the first integrated dataset for C. vietnamensis, combining detailed morphological, anatomical, and molecular evidence to support its recognition and facilitate future taxonomic assessments. Materials and Methods. Comparative morphology was used to confirm species identity. Anatomical structures of vegetative organs were examined via transverse sections stained with iodine green–carmine. Total genomic DNA was extracted using the CTAB 2X protocol, and the ITS and trnL intron regions were amplified by PCR. Results. The anatomical structure of C. vietnamensis was described for the first time and compared to the closely related C. bulbosa var. lushii, revealing diagnostic differences in root, stem, and leaf anatomy. Sequence comparisons showed 93–96% identity in the ITS region and 99% identity in the trnL region when aligned with C. bulbosa and C. murlensis, indicating moderate molecular divergence consistent with species-level distinction. Conclusions. The combination of morphological, anatomical, and molecular data strengthens the taxonomic delimitation of C. vietnamensis and contributes valuable reference information for future phylogenetic and systematic studies within the genus Ceropegia.
subject: Original research and innovation article
  topic: section
subject: Ceropegia vietnamensis
  topic: keywords
subject: morphology plant
  topic: keywords
subject: comparative microanatomy
  topic: keywords
subject: ITS
  topic: keywords
subject: trnL intron
  topic: keywords
subject: Biology
  topic: subjects
creator: Hong Thien Van
creator: Hong Thia Le
creator: Hong Truong Luu
creator: Van Son Le
creator: Thu Trang Le-thi
creator: Nga Nguyen-Phi
rights: Copyright (c) 2025 Innovaciencia https://creativecommons.org/licenses/by-nc/4.0
date: 2025-10-27
publication date: 2025-10-27
doi: 10.15649/2346075X.4433

Ultrasound-assisted thermal processing: Microbial safety and physicochemical attributes of Tejuino, a Mexican heritage fermented beverage
type: item
description: Introduction. Tejuino is an artisanal Mexican fermented corn beverage with limited shelf life, challenging industrial production. Research on microbial safety methods remains scarce despite their cultural importance. Objectives. This study aimed to evaluate the impact of Ultrasound-assisted thermal processing (USTP) on microbial safety and physicochemical properties on tejuino beverage. Materials and Methods. Commercial tejuino samples (200mL) underwent ultrasonic treatment at 0.5 kJ/mL at 20 °C, followed by thermal treatment at 45-65°C (USTP– USTP 65). Fresh, pasteurized (65°C/30 min), and ultrasound-treated samples served as controls. Analyses included microbiological [aerobic mesophilic bacteria (AMB), coliform bacteria (CB), molds and yeasts (MY), lactic acid bacteria (LAB)] and physicochemical parameters (pH, acidity, soluble solids, browning index, density, viscosity, conductivity, turbidity, color), as well as antioxidants [total soluble phenols (TSP), DPPH, ABTS, FRAP]. Results. AMB, CB, and MY counts decreased under USTP treatments while maintaining substantial LAB concentrations in a temperature-dependent response (USTP45–USTP65) compared to controls. All physicochemical properties except density were altered by USTP treatments in a temperature-dependent manner compared to fresh control. USTP45, USTP50, and USTP55 treatments showed similar TSP content and antioxidant activity by DPPH and ABTS compared to ultrasound-treated and fresh controls, while FRAP values decreased significantly in temperatures of >50°C. Conclusions. The ultrasound-assisted thermal processing can be a viable alternative for the industrial manufacturing of tejuino.
subject: Original research and innovation article
  topic: section
subject: Traditional beverage
  topic: keywords
subject: maize beverage
  topic: keywords
subject: nixtamalization proccess
  topic: keywords
subject: commercial tejuino
  topic: keywords
subject: ultrasound treatment
  topic: keywords
subject: low thermal treatment
  topic: keywords
subject: microbial safety
  topic: keywords
subject: Non-alcoholic fermented beverages
  topic: subjects
subject: Traditional beverages
  topic: subjects
subject: Agroindustria
  topic: disciplines
subject: analitycal chemistry
  topic: disciplines
subject: foods
  topic: disciplines
subject: Microbiology
  topic: disciplines
creator: Luis Miguel Anaya Esparza
creator: Miguel Ángel Solano Cornejo
creator: Zuamí Villagrán
creator: José Martín Ruvalcaba Gómez
creator: Jorge Manuel Silva Jara
creator: Fernando Martínez Esquivias
creator: Edward Florencio Aurora Vigo
rights: Copyright (c) 2026 Innovaciencia https://creativecommons.org/licenses/by-nc/4.0
date: 2026-03-03
publication date: 2026-03-03
doi: 10.15649/2346075X.5567

Macroinvertebrate Communities and Ecological Quality of Springs under Anthropogenic and Thermal Influences in the Chili RiverSub-Basin, Arequipa, Peru
type: item
description: Introduction. Springs are natural discharges of groundwater to the surface and represent strategic resources for water supply, biodiversity conservation, and social and economic well-being. Understanding their ecology is essential for establishing priorities for sustainable management and conservation. Objectives. To characterize the structure of aquatic macroinvertebrate communities and assess water quality in three springs—one hydrothermal—of the Chili River sub-basin, Arequipa, Peru. Materials and Methods. A non-experimental, cross-sectional design was applied. Aquatic macroinvertebrates were sampled using a Surber net, and physicochemical parameters were measured in situ with a multiparameter probe. Results. A total of 42 aquatic macroinvertebrate families were recorded across the three springs. Chironomidae and Hydroptilidae dominated in Ojo del Milagro; Hyalellidae and Glossosomatidae in Yumina; and Hydroptilidae and Naididae in Yura. Significant differences were observed among springs in physicochemical and hydrological characteristics, as well as in the structural composition of macroinvertebrate communities. The mean Andean Biotic Index (ABI) scores indicated water quality ranging from good to very good. Conclusions. The composition and structure of macroinvertebrate communities differed significantly among the three springs, driven mainly by local physicochemical conditions and water use at each site.
subject: Original research and innovation article
  topic: section
subject: Water quality
  topic: keywords
subject: Benthic macroinvertebres
  topic: keywords
subject: spring
  topic: keywords
subject: biodiversity
  topic: keywords
subject: Physicochemical parameters
  topic: keywords
subject: water quality
  topic: subjects
subject: aquatic macroinvertebrates
  topic: subjects
subject: springs
  topic: subjects
subject: biodiversity
  topic: subjects
subject: ecological monitoring
  topic: subjects
subject: physicochemical parameters
  topic: subjects
subject: Andean biotic index
  topic: subjects
subject: Biology
  topic: disciplines
subject: Aquatic ecology
  topic: disciplines
subject: Environmental sciences
  topic: disciplines
subject: Hydrobiology
  topic: disciplines
creator: Pastor Coayla Peñaloza
creator: Nikole Calcina Agüero
creator: Cristhian Valderrama Huaynacho
creator: Eliana Choquehuayta Choque
creator: Jerry Arana Maestre
rights: Copyright (c) 2025 Innovaciencia https://creativecommons.org/licenses/by-nc/4.0
date: 2025-11-06
publication date: 2025-11-06
doi: 10.15649/2346075X.5368

Semiparametric Time Series Regression Using Exponential Complex Fourier Series for Temperature Prediction in the Tropical Rainforest of Samarinda
type: item
description: Introduction. Forecasting temperature in tropical rainforest regions is challenging due to complex seasonality and nonlinear trends that conventional models often fail to capture. Addressing this, advanced modeling approaches are required for more accurate climate predictions. Objectives. This study aims to construct and apply the STSR-ECFS model for temperature forecasting in Samarinda, East Kalimantan, and to assess its predictive performance using standard accuracy metrics. Materials and Methods. The STSR-ECFS model combines an autoregressive parametric component with a nonparametric component constructed using the exponential complex Fourier series. The model was trained and validated on monthly temperature data from 2015 to 2024, with the optimal number of oscillations determined by Generalized Cross Validation (GCV). Performance was assessed using Mean Squared Error (MSE) and Mean Absolute Percentage Error (MAPE) for both in sample and outof- sample data. Results and Discussion. The model demonstrated high predictive accuracy, with MAPE consistently less than 10% for both in-sample and out-of sample. It effectively captured both seasonal fluctuations and long-term warming trends in Samarinda’s temperature data. Conclusions. The STSR-ECFS is a flexible and accurate model for temperature forecasting in tropical rainforest climates, with potential applications in climate adaptation strategies, early warning systems, and other climate variables with similar data characteristics. The model could inform policy decisions on climate adaptation, aiding local governments and environmental agencies in managing risks and formulating mitigation strategies. Its integration into national climate action plans can enhance decision-making for sustainable development and disaster risk reduction.
subject: Original research and innovation article
  topic: section
subject: Climate & Temperature
  topic: keywords
subject: Semiparametric Fourier Series
  topic: keywords
subject: Time Series Regression
  topic: keywords
subject: Statistical models
  topic: disciplines
subject: Environment
  topic: disciplines
creator: Andrea Tri Rian Dani
creator: Nur Chamidah
creator: I Nyoman Budiantara
creator: Budi Lestari
creator: Ratna Kusuma
creator: Dursun Aydin
rights: Copyright (c) 2025 Innovaciencia https://creativecommons.org/licenses/by-nc/4.0
date: 2025-12-17
publication date: 2025-12-17
doi: 10.15649/2346075X.5364

Clustering and Forecasting Beef Prices: WPGMA and Time Series Regression Integration
type: item
description: Introduction. Beef is the second most consumed animal protein in Indonesia after chicken. Its demand increases during Eid al-Fitr and Eid al Adha, driving seasonal price spikes. These fluctuations challenge the government in maintaining price stability, with regional differences further complicating policy decisions. Objectives. This study aims to group Indonesian provinces by monthly beef price trends using time series clustering and to perform group-level forecasting with Time Series Regression that incorporates the effects of Eid al-Fitr and Eid al Adha. This approach simplifies modeling complexity and supports efficient policy-making for beef price stabilization. Materials and Methods. Principal Component Analysis (PCA) was used to optimize the dataset before clustering using the Weighted Pair Group Method with Arithmetic Mean (WPGMA) algorithm, combined with the Autocorrelation-Function (ACF) Distance similarity measure. Time Series Regression (TSR) models with dummy variables for Eid al-Fitr and Eid alAdha effects were then applied to each cluster for forecasting. Results. The analysis identified five optimal clusters, with a silhouette coefficient value of 0.61. Forecasting within each cluster showed in sample MAPE values ranging from 1.05% to 5.15%. All clusters exhibited an increasing trend in beef prices from September 2023 to August 2024, highlighting the impact of calendar events and regional characteristics on price dynamics. Conclusions. The clustering-based forecasting approach effectively simplifies price analysis across regions, supporting targeted policy interventions and improving the accuracy of beef price predictions in Indonesia.
subject: Original research and innovation article
  topic: section
subject: Beef Price
  topic: keywords
subject: Calendar Variation
  topic: keywords
subject: PCA
  topic: keywords
subject: TSR
  topic: keywords
subject: WPGMA
  topic: keywords
subject: Statistics
  topic: disciplines
subject: Mathematics
  topic: disciplines
subject: Time Series
  topic: disciplines
creator: Fachrian Bimantoro Putra
creator: Sri Wahyuningsih
creator: Andrea Tri Rian Dani
rights: Copyright (c) 2026 Innovaciencia https://creativecommons.org/licenses/by-nc/4.0
date: 2026-02-07
publication date: 2026-02-07
doi: 10.15649/2346075X.5312

Leveraging Artificial Intelligence to Enhance Mathematics Education and Overcome Instructional Challenges
type: item
description: Introduction. Mathematics has played a foundational role in the development of computer science, and its teaching now faces the challenge of integrating digital technologies— particularly artificial intelligence (AI)— for educational purposes. Objective. This study aims to evaluate the effectiveness of an AI-based tool in school-level mathematics instruction, particularly in addressing didactic challenges. Materials and Methods. A quasi-experimental, mixed-methods design was implemented during the 2023–2024 academic year with a sample of 100 secondary school students in Kyiv. Pre- and post-test results were compared between a control group and an experimental group that used the Photomath application. Additionally, a student perception survey was conducted. Results. The experimental group showed a statistically significant improvement in mathematics performance (p < 0.001) compared to the control group. Furthermore, 82% of students reported increased motivation, and 90% stated that Photomath facilitated their learning. These findings suggest that AI can serve as an effective support in the teaching and learning process. Conclusions. Integrating AI into mathematics education requires adaptations in curricula and teaching methodologies to meet the demands of today’s digital learning environments. When supported by proper teacher training and pedagogical frameworks, AI can enhance student understanding, motivation, and academic achievement.
subject: Original research and innovation article
  topic: section
subject: Artificial intelligence
  topic: keywords
subject: Didactic tasks
  topic: keywords
subject: Information technology
  topic: keywords
subject: Mathematics
  topic: keywords
subject: Teaching mathematics
  topic: keywords
subject: Artificial Intelligence
  topic: subjects
subject: Mathematics
  topic: subjects
subject: Education
  topic: subjects
subject: Mathematics
  topic: disciplines
creator: Liudmyla Hetmanenko
creator: Liudmyla Khoruzha
rights: Copyright (c) 2025 Innovaciencia https://creativecommons.org/licenses/by-nc/4.0
date: 2025-08-29
publication date: 2025-08-29
doi: 10.15649/2346075X.5075

Induction of Epidermal Pigmentation in ICR Mice through Weekly Sunlight Exposure: A Pilot Experimental Study
type: item
description: Introduction. One reason for hyperpigmentation is elevated melanin deposition in the epidermis. Studies on hyperpigmentation are being increasingly reported, and one of the challenges of studying hyperpigmentation is to induce a large number of pigments on the epidermis of laboratory mice to mimic the condition in humans. Objective. Hence, this study aimed to conduct a pilot study to determine the number of pigments produced on the epidermis following weekly sunlight exposure. Materials and Methods. This study involved 40 Mus musculus (mice) of the ICR strain that were exposed to noon (11 am to 1 pm) sunlight once a week with different durations (ranging from 15 minutes to 120 minutes) for 3 weeks. The number of pigments produced was counted at the end of the experiment, and the obtained data were statistically analysed. Results and Discussion. Pigmentations were observed in almost all studied groups, with the highest in the group exposed for three weeks with the longest exposure time (105 – 120 minutes). Two-way ANOVA analysis showed that both sunlight exposure duration (p < 0.0001) and weekly exposure over time (p = 0.031) had a significant influence on pigmentation. Post-hoc Tukey HSD analysis showed that 105–120 minutes of exposure significantly increased pigmentation than other groups (p < 0.05). Conclusion. The present findings showed the appearance of pigmentations on the epidermis, but most of these conditions are insufficient to induce the large number of pigments needed to conduct studies on hyperpigmentation. Further studies are required to obtain the optimal effective frequency and durations of sunlight exposure to induce the right amount of pigmentation for scientific research.
subject: Short communication
  topic: section
subject: Hyperpigmentation, Melanin, Sunlight, UV, Epidermis, Mice
  topic: keywords
subject: Biological Sciences
  topic: subjects
subject: Environment
  topic: disciplines
creator: Asiyah Nanda Che Azit
creator: Afiqah Nuwaira Ahmad Yasir
creator: Humaira Fatini Mohd Faisal
creator: Siti Syairah Mohd Mutalip
creator: Yuslina Zakaria
creator: Delima Engga Maretha
rights: Copyright (c) 2025 Innovaciencia https://creativecommons.org/licenses/by-nc/4.0
date: 2025-11-05
publication date: 2025-11-05
doi: 10.15649/2346075X.5248

Prevalence of gastrointestinal parasites in slaughterhouse horses and donkeys from the North and Northeast of Colombia
type: item
description: Introduction. Gastrointestinal parasites represent one of the most significant health problems in equines, affecting welfare, production, and performance. Objective. The objective of this study was to report the prevalence of gastrointestinal parasites in horses (Equus caballus) and donkeys (Equus asinus) from different regions of Colombia. Materials and methods. A random sampling design was implemented on animals slaughtered at a processing facility located in Piedecuesta, Santander, Colombia. A total of 292 fecal samples from the digestive systems of the slaughtered horses and donkeys were collected. Fecal samples were processed using the McMaster coprological technique. In addition, the same number of livers was inspected for adult forms of Fasciola hepatica. Results and discussion. The overall prevalence of gastrointestinal parasites was 96.9% (283/292), with the highest values for Strongylus sp., followed by Strongyloides sp., Trichostrongylus sp., and Parascaris equorum. No significant differences were found according to sex, species, municipality, or department. In the present study, no adult forms of Fasciola hepatica were observed in the inspected livers. Conclusion. The high prevalence of gastrointestinal parasites found in this research could be controlled through effective health plans and antiparasitic control in animals from the regions under study. Key words: parasites, gastrointestinal, horses, donkeys, slaughterhouse, Colombia
subject: Short communication
  topic: section
subject: Parasites
  topic: keywords
subject: Gastrointestinal
  topic: keywords
subject: Horses
  topic: keywords
subject: Donkeys
  topic: keywords
subject: Slaughterhouse
  topic: keywords
subject: Colombia
  topic: keywords
subject: We believe that this manuscript is appropriate for publication by your respected journal because it matches to a great extent with the journal’s aims and scope.
  topic: subjects
subject: parasitology
  topic: disciplines
subject: veterinary medicine
  topic: disciplines
subject: equine medicine
  topic: disciplines
creator: Juan Carlos Pinilla
creator: Andrea Isabel Pinilla Da Silva
creator: Meylin Stefany Ardila Méndez
creator: María Alejandra Vega Navarro
rights: Copyright (c) 2025 Innovaciencia https://creativecommons.org/licenses/by-nc/4.0
date: 2025-11-06
publication date: 2025-11-06
doi: 10.15649/2346075X.4917

Therapeutic potential of biosynthesized nanoparticles using Echinacea species in biological applications
type: item
description: Introduction. Echinacea species, particularly Echinacea purpurea, possess bioactive compounds with antimicrobial, antioxidant, and immunomodulatory properties. When formulated into nanoparticles, these compounds may overcome limitations of solubility, stability, and bioavailability, thereby enhancing therapeutic potential against conditions such as antimicrobial resistance, oxidative stress, immune dysregulation, and cancer. Objective. The aim was to synthesize available evidence on the physicochemical properties and biomedical applications of Echinacea-based nanostructures. Methods. A systematic literature search was conducted in PubMed, Google Scholar, and ScienceDirect following PRISMA guidelines. Peer-reviewed studies in English describing Echinacea-derived nanoparticles with reported biomedical or therapeutic effects were included. Non-peer reviewed and non-English works were excluded. Screening was performed in two stages, and data on nanoparticle properties, analytical methods, and biological outcomes were narratively synthesized. From 2,862 records, 22 studies met inclusion criteria. Results. Evidence consistently demonstrated that Echinacea-derived nanoparticles possess multifunctional biological activities. Inorganic systems showed strong antimicrobial, antioxidant, and anticancer effects, with performance influenced by particle size, crystallinity, and surface chemistry. Polymeric and lipid-based carriers improved stability, enhanced bioactive retention, and promoted higher cell viability, while hybrid systems such as electrospun nanofibers integrated antimicrobial action with wound-healing capacity. Immunomodulatory and anti-inflammatory outcomes were frequently reported, confirming broad therapeutic relevance. Conclusions. Nanoparticle enhanced formulations of Echinacea exhibit strong potential for innovative biomedical applications, including antimicrobial coatings, wound healing, immunotherapy, targeted drug delivery, and chronic disease management. T…
subject: Systematic review
  topic: section
subject: Echinacea-based nanoparticles
  topic: keywords
subject: biomedical nanotechnology
  topic: keywords
subject: therapeutic innovations
  topic: keywords
subject: immune modulation
  topic: keywords
subject: antimicrobial resistance
  topic: keywords
subject: Medicinal Chemistry
  topic: disciplines
subject: Natural Products Chemistry
  topic: disciplines
creator: Wajiha Hasan
creator: Khizra Sohail
creator: Nabeela Mahmood
creator: Huma Qureshi
creator: Tauseef Anwar
creator: Muhammad Anas Awan
rights: Copyright (c) 2025 Innovaciencia https://creativecommons.org/licenses/by-nc/4.0
date: 2025-12-17
publication date: 2025-12-17
doi: 10.15649/2346075X.5232

Canine Lead Exposure in Automotive Repair Workshops: A Pilot Study Conducted in Cajamarca City, Peru
type: item
description: Introduction. Lead is a heavy metal widely used in the automotive industry and is considered one of the most harmful toxic agents for living organisms. Dogs inhabiting automotive repair workshops may experience chronic exposure to this metal, making them potential sentinels of environmental contamination. Objective. This study aimed to determine blood lead levels in dogs residing in automotive repair workshops in the city of Cajamarca (Peru). Materials and Methods. Blood lead levels were quantified in 16 dogs using graphite furnace atomic absorption spectrometry. Results and Discussion. Blood lead levels ranged from 0.427 μg/dL (0.0043 ppm) to 4.348 μg/dL (0.0435 ppm), with a mean ± standard deviation of 2.264 ± 1.243 μg/dL and a coefficient of variation of 54.907%. A proportion of the evaluated dogs (18.75%; 3/16) presented blood lead levels exceeding 3.5 μg/dL, the reference value established by the Centers for Disease Control and Prevention (CDC) for children in the United States, indicating environmental exposure within these settings. Conclusions. Although most dogs exhibited blood lead levels below the critical threshold for human health, the presence of elevated levels in certain individuals suggests potential long-term risks for both the animals and workshop personnel. These findings highlight the need for further research to identify sources of exposure and assess their implications within a One Health framework.
subject: Short communication
  topic: section
subject: Canis lupus familiaris
  topic: keywords
subject: contamination
  topic: keywords
subject: heavy metal
  topic: keywords
subject: mechanics workshop
  topic: keywords
subject: toxic
  topic: keywords
subject: Toxicology
  topic: subjects
subject: Veterinary toxicology
  topic: disciplines
creator: Giovana Alcántara-Villar
creator: Crisanto Juan Villanueva
creator: Luis Vargas
rights: Copyright (c) 2025 Innovaciencia https://creativecommons.org/licenses/by-nc/4.0
date: 2025-11-06
publication date: 2025-11-06
doi: 10.15649/2346075X.5174

Assessment of Strength and Stability in Cold Asphalt Mixtures Reinforced with 0.20% and 0.25% Polypropylene Microfibers
type: item
description: Introduction. The incorporation of new materials and technologies has opened avenues for research in asphalt mixtures. Various studies have focused on modifying conventional manufacturing methods by replacing or enhancing traditional components. Among these, synthetic polypropylene microfibers have been investigated as partial substitutes for mineral aggregates. Objectives. This study aimed to evaluate the indirect tensile strength and stability of cold asphalt mixtures reinforced with 0.20% and 0.25% polypropylene microfibers. Materials and Methods. A reference cold asphalt mixture (sand-asphalt) was prepared following the Hubbard-Field method. Two modified mixtures were produced by replacing a proportion of the aggregate with 0.20% and 0.25% microfibers by volume. The index properties of the modified mixtures were assessed and compared to the reference mixture. Indirect tensile strength tests were also conducted. Results. The incorporation of polypropylene microfibers increased stability under ambient conditions by up to 21% and improved indirect tensile strength by approximately 100% compared to the reference mixture. Compatibility and reduction of air voids were also enhanced. However, swelling increased notably at 0.25% microfiber content, exceeding specification limits, while water absorption remained within acceptable ranges. Conclusions. Reinforcing cold asphalt mixtures with polypropylene microfibers resulted in significant improvements in stability, compaction, and tensile strength without compromising essential performance criteria.
subject: Original research and innovation article
  topic: section
subject: Mezclas asfálticas en frio, Mezclas modificadas, Propiedades índices, Micro fibras.
  topic: keywords
subject: mezclas asfálticas modificadas
  topic: subjects
subject: Pavimentos
  topic: disciplines
creator: Johannes Enrique Briceño Balza
creator: Dayana Yamileth Contreras Sánchez
creator: María Virginia Pérez Gonzalez
rights: Copyright (c) 2025 Innovaciencia https://creativecommons.org/licenses/by-nc/4.0
date: 2025-11-06
publication date: 2025-11-06
doi: 10.15649/2346075X.5147

Effects of Crude Ground Biarum bovei Powder on the Morphophysiological Characteristics of Two Lupinus albus L. Varieties
type: item
description: Introduction. Biarum bovei Blume is a medicinal plant native to eastern Libya. Although its phytochemical profile has been partially documented, its allelopathic behavior toward cultivated species remains unexplored. Objectives. This study aimed to evaluate the allelopathic effects of incorporating crude leaf and tuber powder of B. bovei into soil on the growth and yield of two Lupinus albus L. varieties (sweet and bitter). Materials and Methods. The pot experiments were conducted during the 2023 growing season at Omar Al-Mukhtar University. Crude powder of B. bovei leaves and tubers was incorporated into pots at 0, 5, and 10 g/kg soil. Ten seeds of each lupine variety were sown per pot in a completely randomized design with three replicates. Morphological and biochemical parameters were measured after four months. Results. The crude powder significantly inhibited several morphological and biochemical traits (P < 0.05), including seedling emergence rate (from 100% to 25%), shoot length, root length, fresh weight per plant (from 6.4 g to 1.8 g), and photosynthetic pigments, notably chlorophyll a (from 1.66 to 0.48 mg/g). Phosphorus, iron, sodium, phenols, and alkaloids also decreased. In contrast, potassium, copper, total nitrogen, crude protein, and proline increased under treatment. The strongest inhibition was recorded with tuber powder at 10 g/kg, and the sweet variety was more sensitive. Conclusions. These findings suggest that B. bovei residues can negatively impact L. albus growth and productivity, particularly when derived from tubers. Further field studies are needed to assess potential implications for crop management.
subject: Original research and innovation article
  topic: section
subject: Biarum bovei Blume, Allelopathic, Crude powder, Lupinus albus L., Sweet and bitter
  topic: keywords
subject: Biology
  topic: subjects
subject: Physiology
  topic: subjects
subject: Biology
  topic: disciplines
creator: Sami M Salih
creator: Ahmed A Abdulrraziq
rights: Copyright (c) 2025 Innovaciencia https://creativecommons.org/licenses/by-nc/4.0
date: 2025-10-28
publication date: 2025-10-28
doi: 10.15649/2346075X.5101

Astichopus multifidus and Holothuria floridana from Yucatecan Coast as potential source of antifungal agents.
type: item
description: Introduction. Infections caused by pathogenic fungi present a persistent public health challenge. Marine invertebrates, such as sea cucumbers (holothurians), are recognized for their high protein content and various medicinal properties. They also serve as reservoirs of bioactive compounds. In the territorial waters of México, six sea cucumber species, including Astichopus multifidus, Isostichopus badionotus, and Holothuria floridana, are found along the Yucatán Peninsula. However, overexploitation threatens these species, potentially diminishing valuable sources of antimicrobial agents. Objectives. This study aims to evaluate the antifungal activity of organic extracts from A. multifidus and H. floridana against various fungal strains, using minimum inhibitory concentration (MIC) and minimum fungicidal concentration (MFC) assays. Materials and Methods. Organic extracts from A. multifidus and H. floridana were obtained and tested for antifungal activity using a microdilution method. The MIC and MFC values were determined against a panel of fungal strains, including Trichophyton rubrum, Aspergillus niger, and Cryptococcus neoformans. Extracts from Isostichopus badionotus were also evaluated. Results and Discussion. Approximately 50% of the extracts exhibited antifungal activity. Butanolic body extracts from A. multifidus and H. floridana displayed the lowest MIC values (15.6 µg/mL) against T. rubrum and A. niger, respectively. Additionally, these extracts demonstrated antifungal activity (31.2 µg/mL) against C. neoformans. In contrast, extracts from I. badionotus showed no activity. These results suggest that A. multifidus and H. floridana contain bioactive compounds with antifungal potential. Conclusions. The antifungal properties of A. multifidus and H. floridana highlight their potential as sources of novel antifungal agents. Their sustainable use could contribute to the development of new antifungals
subject: Original research and innovation article
  topic: section
subject: Astichopus
  topic: keywords
subject: Holothuria
  topic: keywords
subject: Isostichopus
  topic: keywords
subject: antifungal
  topic: keywords
subject: Yucatán
  topic: keywords
subject: biological activity
  topic: subjects
subject: antifungal
  topic: subjects
subject: sea cumbers
  topic: subjects
subject: Microbiology
  topic: disciplines
subject: chemistry
  topic: disciplines
creator: Nayely Padilla
creator: Lorena León-Deniz
creator: Jasmín Salazar-Mendoza
creator: Manlio Sabido-Graniel
creator: Leovigildo Quijano
creator: Gonzalo Mena-Rejón
rights: Copyright (c) 2025 Innovaciencia https://creativecommons.org/licenses/by-nc/4.0
date: 2025-09-19
publication date: 2025-09-19
doi: 10.15649/2346075X.5093

Integration of Virtual Manipulatives for Teaching and Learning Perimeter and Area in Lower Secondary Education
type: item
description: Introduction. The integration of digital resources in mathematics education has shown promise in improving students’ conceptual understanding. Virtual manipulatives, in particular, are designed to support abstract reasoning through interactive and visual learning environments. Objective. This study aimed to evaluate the impact of virtual manipulatives on seventh-grade students’ learning outcomes and engagement during the instruction of perimeter and area. Materials and Methods. A quasi-experimental, mixed methods design was employed involving two intact seventh-grade classes (N=32) from a public school in Mitrovica, Kosovo. One class served as the experimental group, receiving instruction with virtual manipulatives, while the control group followed traditional methods. The intervention spanned two weeks and included pre- and post-tests, a student questionnaire, and an observation checklist. Quantitative data were analyzed using SPSS software, including paired and independent samples t-tests, while qualitative insights were gathered through observation. Results. The experimental group demonstrated significantly higher post-test scores compared to the control group (p =0 .005), indicating improved understanding of perimeter and area. Questionnaire results revealed high levels of motivation, enjoyment, and perceived learning benefits among students exposed to virtual manipulatives. Observation data supported these findings, showing increased engagement, collaboration, and positive behavioral changes. Conclusions. The findings confirm that virtual manipulatives positively influence students’ academic performance and attitudes in mathematics. They support both cognitive and affective domains of learning, offering an effective strategy for teaching geometric concepts. Further research is encouraged to explore long-term effects across broader student populations.
subject: Original research and innovation article
  topic: section
subject: Virtual manipulative
  topic: keywords
subject: Perimeter
  topic: keywords
subject: Surface
  topic: keywords
subject: Mathematical concepts
  topic: keywords
subject: Learning Science
  topic: subjects
subject: math
  topic: disciplines
creator: Agon Mahmuti
creator: Arbër Arifi
rights: Copyright (c) 2025 Innovaciencia https://creativecommons.org/licenses/by-nc/4.0
date: 2025-08-29
publication date: 2025-08-29
doi: 10.15649/2346075X.5051

Suicidal Risk in Penitentiary Facilities in Bucaramanga (Colombia): A Logit Model for Early Detection
type: item
description: Introduction. People deprived of liberty are exposed to multiple risk factors that lead to physical and emotional deterioration, thereby increasing their vulnerability to suicide. It is imperative to identify reliable warning signs to prevent this issue and to guide the implementation of life- reserving interventions. Objectives. To analyze sociodemographic, penitentiary, and psychological factors associated with suicidal risk among individuals incarcerated in correctional facilities in Bucaramanga. Materials and Methods. The SCL-90 Symptom Inventory and the Plutchik Suicide Risk Scale were administered to a non-random sample of 73 incarcerated individuals who voluntarily agreed to participate. In addition to descriptive analyses and tests comparing means and proportions across groups defined by suicide risk status, a logit model was estimated to identify variables influencing the probability of suicidal risk. Results and Discussion. The prevalence of suicidal risk in the sample was 70%. The presence of suicidal ideation (AME = 18.96 pp, p = 0.042), together with certain psychosomatic dimensions—such as obsessive-compulsive behavior (AME = 24.46 pp, p = 0.029) and sensitivity (AME = 21.82 pp, p= 0.004)—emerged as relevant indicators for early detection of suicidal risk. Conclusions. The findings are consistent with prior studies reporting a high incidence of suicidal risk in this population, significantly influenced by psychosomatic factors and suicidal ideation. Life preservation programs (AME = –21.91 pp, p= 0.061) may contribute to mitigating this issue.
subject: Original research and innovation article
  topic: section
subject: Suicide Risk
  topic: keywords
subject: Incarcerated Individuals
  topic: keywords
subject: Suicidal Ideation
  topic: keywords
subject: Self-Harm
  topic: keywords
subject: Investigación
  topic: subjects
subject: Statistics
  topic: disciplines
subject: psychology
  topic: disciplines
creator: Josefa Ramoni-Perazzi
creator: Laura Patricia Amaya Díaz
creator: Giampaolo Orlandoni-Merli
rights: Copyright (c) 2025 Innovaciencia https://creativecommons.org/licenses/by-nc/4.0
date: 2025-09-18
publication date: 2025-09-18
doi: 10.15649/2346075X.5057

Automatic shape optimization of the first step labyrinth seal of a geothermal steam turbine
type: item
description: Introduction. The design of straight labyrinth seals for a steam turbine has had little progress concerning their geometry. As an auxiliary system, its current shape causes a significant loss of efficiency in this machine. Objective. This study aims to evaluate the use of an automatic optimization process to define a more suitable seal profile that increases the pressure ratio at the first stage of a steam turbine installed in a geothermal field in México. Materials and Methods. Multidisciplinary software, controlled by a PowerShell script, were coupled to optimize the seal shape in response to the flow and pressure field given by a computationally cheap CFD model of the first step of the labyrinth seal. Results and Discussion. By parameterizing the seal geometry, the leading edge was automatically manipulated with the numerical algorithm, obtaining an angle tendency towards 45°. This new leading edge decreased the outlet pressure of the seal system by 1.2%, which, for a total of 5 stages in the turbine with the same seals, would result in a 6% pressure reduction. Conclusions. It is inferred that this practical methodology could easily update the seal design during the turbine re-powering operations.
subject: Original research and innovation article
  topic: section
subject: Labyrinth seal
  topic: keywords
subject: Steam Turbine
  topic: keywords
subject: Numerical Optimization
  topic: keywords
subject: Genetic Algorithms
  topic: keywords
subject: Computational Design Optimization
  topic: disciplines
subject: Turbomachinery
  topic: disciplines
creator: Miguel Tamayo Soto
creator: Ángel Cerriteño Sánchez
creator: Heriberto Arias Rojas
creator: Sergio Galvan
creator: Francisco Javier Domínguez Mota
creator: Nicólas-David Herrera Sandoval
rights: Copyright (c) 2025 Innovaciencia https://creativecommons.org/licenses/by-nc/4.0
date: 2025-08-08
publication date: 2025-08-08
doi: 10.15649/2346075X.4996

Bioindicators and Heavy Metal Pollution in High-Andean Peruvian Lakes: A Limnological Approach.
type: item
description: Introduction. High-Andean lakes represent vital sociocultural, economic, and environmental assets for local communities and are ecologically significant ecosystems that require protection and conservation. Understanding their limnological characteristics is key to guiding both conservation and sustainable use strategies. Objectives. To assess the limnological characteristics of three high-Andean lakes in Quiruvilca, La Libertad region, Peru, located in an area influenced by mining activities. Materials and Methods. Semiannual sampling was conducted between 2017 and 2019. Measurements included physicochemical parameters—temperature, conductivity, pH, dissolved oxygen (DO), oxygen saturation, and transparency—as well as concentrations of heavy metals in water and sediments. Aquatic macroinvertebrates were identified to the family level. Water quality was evaluated using the Biological Monitoring Working Party (BMWP) index and the Andean Biotic Index (ABI). Descriptive statistics, ANOVA, and correlation analyses were applied to explore trends and variability. Results. The average values recorded for the physicochemical parameters were temperature of 12.6 ºC, pH of 4.5, conductivity of 20.4 μS/cm, dissolved oxygen (DO) of 6.5 mg/L, oxygen saturation of 99.8%, and water transparency ranging from 0.37 to 3.0 meters. Heavy metals—arsenic, copper, mercury, and lead—exceeded permissible thresholds. The most abundant macroinvertebrate families were Corixidae, Dytiscidae, Hyalellidae, Planariidae, and Chironomidae. Conclusions. The lakes exhibited relatively stable limnological conditions but moderate contamination levels. Despite supporting aquatic life, the water is unsuitable for human or livestock consumption. Remediation strategies are therefore necessary to mitigate contamination risks.
subject: Original research and innovation article
  topic: section
subject: Aquatic macroinvertebrates
  topic: keywords
subject: Heavy metals
  topic: keywords
subject: Physicochemical parameters
  topic: keywords
subject: Water quality
  topic: keywords
subject: Environment
  topic: disciplines
creator: Judith Roldán Rodríguez
creator: Andrés Rodríguez Castillo
creator: Hilda Arriaga Verástegui
creator: Aurora Paredes Pérez
rights: Copyright (c) 2025 Innovaciencia https://creativecommons.org/licenses/by-nc/4.0
date: 2025-05-05
publication date: 2025-05-05
doi: 10.15649/2346075X.4951

Benthic Macroinvertebrates as Bioindicators for Assessing Water Quality in the Cañipia River, Cusco, Peru.
type: item
description: Introduction. Benthic macroinvertebrates (BMIs) are widely used as bioindicators of water quality due to their sensitivity to physicochemical alterations caused by pollution. Their presence and community composition provide a comprehensive assessment of the ecological status of aquatic ecosystems. Objective. This study aimed to assess the water quality of the Cañipia River, located in Cusco, Peru, using three biotic indices: BMWP/Col, ABI, and EPT. Materials and Methods. Sampling was conducted at four stations during the dry and wet seasons. BMIs were identified at the family level to calculate diversity and biotic indices. Additionally, physicochemical parameters were analyzed, and heavy metal concentrations in water and sediments were determined. Results. The families Elmidae and Chironomidae were the most abundant. According to the BMWP/Col index, water quality ranged from critical to doubtful, while the ABI index indicated a poor to good status. The EPT index classified water quality as poor to moderate. Simpson’s index revealed fluctuating diversity, ranging from low to high during the dry season and from moderate to high during the wet season, whereas Shannon’s index indicated low to moderate diversity. Margalef’s index (DMg) was higher in the wet season. Regarding metal contamination, only station RCañi1, located upstream of the formal mining area, exceeded Peruvian regulatory limits for Ba, Cu, Mn, and Zn in water. Canonical Correspondence Analysis (CCA) showed seasonal relationships between metal concentrations and biotic indices. Conclusions. The three biotic indices suggest a moderate impact on the water quality of the Cañipia River, likely influenced by anthropogenic factors.
subject: Original research and innovation article
  topic: section
subject: Bioindicators
  topic: keywords
subject: Water quality
  topic: keywords
subject: Biotic indices
  topic: keywords
subject: Diversity
  topic: keywords
subject: Benthic macroinvertebres
  topic: keywords
subject: Total Metals
  topic: keywords
subject: Biological Sciences
  topic: subjects
subject: Environment
  topic: disciplines
creator: Katiusca Jimenez-Broncano
creator: Romina Mendoza-Valente
creator: David Minaya
creator: David Leiva
creator: José Iannacone
rights: Copyright (c) 2025 Innovaciencia https://creativecommons.org/licenses/by-nc/4.0
date: 2025-04-30
publication date: 2025-04-30
doi: 10.15649/2346075X.4843

The spirit of this journal
type: item
subject: Editorial
  topic: section
subject: Philosophy of Science
  topic: keywords
subject: filosofía de la ciencia
  topic: subjects
subject: Filosofía de la ciencia
  topic: disciplines
creator: Fernando Otálora Luna
rights: Copyright (c) 2024 Innovaciencia https://creativecommons.org/licenses/by-nc/4.0
date: 2024-12-19
publication date: 2024-12-19
doi: 10.15649/2346075X.4805

Cadmium and Lead Contamination in Highland Honey from Peru: A Potential Health Risk
type: item
description: Introduction. Honey has been part of the human diet and medicine for millennia. Although its nutritional composition can vary across regions, the concentration of certain metals must not exceed the maximum permissible limits (MPLs) set by national and international bodies, as these metals are toxic to consumers. Objectives. To determine the concentration of cadmium and lead in honey from two districts (Cajamarca and La Encañada) in a northern province of Peru. Materials and Methods. Twelve samples were collected from four localities in these two districts of the Cajamarca province. Cd and Pb concentrations were measured using graphite furnace atomic absorption spectrophotometry. Results and Discussion. Cd levels ranged from 0.070 to 2.875 mg/kg, while Pb levels varied from <0.001 to 2.478 mg/kg. The highest Cd concentrations were found in honey from the Cajamarca district and its two localities; however, these differences were not statistically significant (p>0.05). Honey from La Encañada and its localities showed the highest Pb levels (p<0.05). Compared to MPLs established by Mercosur (Cd: 0.10 mg/kg; Pb: 0.30 mg/kg), 91.67% (95% CI: 61.52 - 99.79) of the samples exceeded these limits for Cd, with increases of up to 2775%. Similarly, 58.33% (95% CI: 27.67 - 84.83) of the samples exceeded MPLs for Pb, with increases of up to 726%. Conclusions. Honey samples from two northern Peruvian districts exhibited Cd and Pb levels above Mercosur MPLs, posing potential health risks for consumers and rendering the honey unsuitable for trade.
subject: Short communication
  topic: section
subject: Apis mellifera
  topic: keywords
subject: food contamination
  topic: keywords
subject: food safety
  topic: keywords
subject: heavy metals
  topic: keywords
subject: toxicity
  topic: keywords
subject: Environment
  topic: subjects
subject: Environmental sciences
  topic: disciplines
creator: Clauss Edwín Llico Sáenz
creator: Crisanto Juan Villanueva de La Cruz
creator: Luis Vargas
rights: Copyright (c) 2025 Innovaciencia https://creativecommons.org/licenses/by-nc/4.0
date: 2025-11-06
publication date: 2025-11-06
doi: 10.15649/2346075X.4801

Analysis of generic competencies using a Linear Regression Model: A case study in short-cycle programs
type: item
description: Introduction. The Saber tests, administered by the Colombian Institute for the Evaluation of Education (ICFES), assess students’ competency performance across educational levels. This study evaluates the progress in competencies among students enrolled in three technological programs (online learning, in-person learning, and dual-online learning) at a university in eastern Colombia by comparing their Saber 11 and Saber TyT (refers to the Technical and Technological Knowledge Test) test results. Materials and Methods. This descriptive, cross-sectional study analyzed data from students who completed the Saber 11 test beginning in 2014 and subsequently the Saber TyT test starting in 2016. A multiple linear regression model and association tests were applied. Results. Among the 3.095 graduates, only 14.7% had complete scores for both tests, limiting the scope of the analysis. A moderate correlation was observed between Saber 11 and Saber TyT competency scores, with stronger relationships in English (r(409) = 0.65; p < 0.01) and quantitative reasoning (r(409) = 0.60; p < 0.01). Accompanying programs positively impacted these areas, whereas citizenship competencies and written communication demonstrated less consistent performance. Study modality and cumulative GPA significantly influenced Saber TyT results. These findings provide actionable insights for refining educational strategies to enhance retention and advance critical competencies. Conclusions. This study highlights the importance of adapting pedagogical strategies to integrate essential competencies into academic programs, supporting institutional self-evaluation and accreditation efforts
subject: Original research and innovation article
  topic: section
subject: Educational quality
  topic: keywords
subject: Added value
  topic: keywords
subject: Citizen competencies
  topic: keywords
subject: Higher Education Institutions
  topic: keywords
subject: Multiple linear regression model
  topic: keywords
subject: Short-cycle programmes
  topic: keywords
subject: Education
  topic: subjects
subject: Educación
  topic: disciplines
creator: Francisco Javier León
creator: Jesús Armando Tobar Sánchez
creator: William González Calderón
creator: Rafael Enrique Suárez Arias
rights: Copyright (c) 2025 Innovaciencia https://creativecommons.org/licenses/by-nc/4.0
date: 2025-01-31
publication date: 2025-01-31
doi: 10.15649/2346075X.4589

Microplastics in the Honey bee (Apis mellifera) from Urban Apiaries in Metropolitan Lima, Peru
type: item
description: Introducción. Los microplásticos (MPs) son actualmente un problema emergente debido a su lenta degradación y su amplia distribución en el suelo y la atmósfera, contribuyendo a una amenaza ambiental. La abeja melífera (Apis mellifera) sirve como un polinizador crucial y bioindicador ambiental, desempeñando un papel esencial en la agrobiodiversidad. Objetivo . Este estudio evaluó la presencia de MPs en abejas obreras de colmenas urbanas en Lima Metropolitana, Perú. Materiales y métodos. Se recolectaron muestras de abejas melíferas de tres apiarios urbanos en los distritos de Puente Piedra (norte), La Molina (centro) y Pachacamac (sur) entre octubre y diciembre de 2023. Los MPs se cuantificaron en partículas por 90 abejas, considerando superficies externas e internas, y se clasificaron por forma, color y tamaño. Resultados y discusiones. Se identificó la presencia de microplásticos (MPs) en Apis mellifera de los tres apiarios evaluados. Se observaron cantidades similares de MPs en los apiarios ubicados en Pachacamac (41 partículas externas y 10 internas) y La Molina (38 partículas externas y 12 internas), encontrándose cantidades menores en Puente Piedra (19 partículas externas y 15 internas). Las superficies externas de A. mellifera presentaron mayor cantidad de MPs que las partes internas. Se encontraron diferencias significativas en la distribución de MPs filamentosos en los apiarios. Las MPs filamentosas fueron predominantes, con colores que incluyeron azul, negro, rojo y blanco, y tamaños que variaron de 40 a 4400 µm. Conclusiones. Los hallazgos y datos sugieren que las abejas obreras Apis mellifera podrían servir como potenciales bioindicadores de contaminación por microplásticos en apiarios urbanos.
subject: Original research and innovation article
  topic: section
subject: Apiary
  topic: keywords
subject: Apis mellifera
  topic: keywords
subject: environmental pollution
  topic: keywords
subject: honey bee
  topic: keywords
subject: microplastic
  topic: keywords
subject: Asuntos
  topic: subjects
subject: Environment
  topic: disciplines
creator: Jose Iannacone
creator: Manuel Seminario
creator: David Minaya
creator: Lorena Alvariño
creator: Luz Castañeda-Perez
creator: Graciano Tejada
rights: Copyright (c) 2024 Innovaciencia https://creativecommons.org/licenses/by-nc/4.0
date: 2025-11-07
publication date: 2025-11-07
doi: 10.15649/2346075X.4450

Approaches to Calculating Urban Project Boundaries (Agglomeration) in Shymkent City, Kazakhstan
type: item
description: Introduction. A thorough evaluation of the calculations used to determine the boundaries of urban planning projects enables a comprehensive understanding of the socio-economic, cultural, and labor connections between cities and settlements. The significance of developing agglomerations in resource-limited environments lies in their potential to achieve a synergistic effect, where the whole exceeds the sum of its parts. Objectives. The research aims to identify the functional boundaries of the Shymkent agglomeration. Materials and Methods. The boundaries of the Shymkent agglomeration were determined using a methodological approach that integrates the agglomeration development coefficient, Reilly's gravitational theory, and GIS technologies. Results and Discussion. Potential countermagnet cities were identified by employing GIS technologies to calculate the force of demographic gravity from proximate settlements to the city of Shymkent. These cities serve as centers of attraction that intercept migration flows towards Shymkent, thus assisting in mitigating excess population growth in the city. Conclusions. The strategic development of suburban settlements and key nodes within the Shymkent agglomeration can effectively manage urban growth challenges, promoting a balanced and sustainable development pattern. it is necessary to prevent the spontaneous growth of settlements caused by population growth, which leads to the formation of imbalances in comprehensive service systems and provides workplaces that can provoke social tensions.
subject: Short communication
  topic: section
subject: Urban space
  topic: keywords
subject: agglomeration
  topic: keywords
subject: urban planning
  topic: keywords
subject: agglomeration
  topic: subjects
subject: Urban Planning
  topic: disciplines
subject: agglomeration
  topic: disciplines
creator: Arslan Barakbayev
creator: Seimur Mamedov
creator: Meruert Baidrakhmanova
creator: Leonid Bulyga
creator: Yelena Feoktistova
creator: Yulia Manzina
rights: Copyright (c) 2024 Innovaciencia https://creativecommons.org/licenses/by-nc/4.0
date: 2024-12-19
publication date: 2024-12-19
doi: 10.15649/2346075X.4416