Ventajas e Inconvenientes de la Evaluación Formativa, y su Influencia en la Autopercepción de Competencias en alumnado de Formación Inicial del Profesorado en Educación Física (Ad... by Francisco Javier Gallardo-Fuentes, Victor Manuel López-Pastor, Bastian Ignacio Carter-Thuillier

Get full text

Refined Monitoring of Water Bodies in Built-Up Areas and Analysis and Evaluation of Water Color Characteristics in Complex Urban Backgrounds by Bin Li, Yong Xie, Zui Tao, Wen Shao, Gan Qin

“…Additionally, traditional water quality detection methods, relying on laboratory sampling and analysis, are hindered by high costs and long cycles. …”
Get full text

Direct-to-Consumer Testing: A Game-Changer for STI Control and Public Health? A Critical Review of Advances Since the Onset of the COVID-19 Pandemic by David F. Martín-García, Julien Santi-Rocca

“…At the same time, it fostered optimism about the potential of direct-to-consumer (DTC) self-testing solutions, fueled by remarkable progress in self-sampling practices, rapid testing technologies, and the adaptation of regulatory frameworks. …”
Get full text

The Adoption of Sustainable Farming Practices by Smallholder Crop Farmers: Micro-Level Evidence from North-Eastern South Africa by Ally Sithole, Oluwasogo David Olorunfemi

“…Thus, this study aimed to evaluate the adoption of SFPs amongst smallholder crop farmers in Mbombela, South Africa. A simple random sampling procedure was employed to collect data from 294 farmers who were solely specializing in crop production. …”
Get full text

Optimizing PID control for multi-model adaptive high-speed rail platform door systems with an improved metaheuristic approach by Dong Zhan, Ai-Qing Tian, Shao-Quan Ni

“…The IBM-Dy-SGA effectively balances exploration and exploitation through a dynamic multi-swarm mechanism, combined with Latin Hypercube Sampling (LHS) initialization and K-means clustering strategies, thereby enhancing population diversity and convergence efficiency. …”
Get full text

Decentralized Immunization Monitoring: Lessons Learnt from a Pilot Implementation in Kumbotso LGA, Kano State, Nigeria by Adam Attahiru, Yahaya Mohammed, Fiyidi Mikailu, Hyelshilni Waziri, Ndadilnasiya Endie Waziri, Mustapha Tukur, Bashir Sunusi, Mohammed Nasir Mahmoud, Nancy Vollmer, William Vargas, Yusuf Yusufari, Gustavo Corrêa, Heidi W. Reynolds, Teemar Fisseha, Talatu Buba Bello, Moreen Kamateeka, Adefisoye Oluwaseun Adewole, Musa Bello, Imam Wada Bello, Sulaiman Etamesor, Joseph J. Valadez, Patrick Nguku

“…Methods: This study adopted a cross-sectional design approach using the Behavioural and Social Drivers of Vaccination (BeSD) framework and the Lot Quality Assurance Sampling (LQAS). The study population comprised caregivers of children aged 0–11 months and 12–23 months across the 11 wards in Kumbotso District, Kano State, Nigeria, using a segmentation sampling approach. …”
Get full text

Oncogene-Induced Senescence Transcriptomes Signify Premalignant Colorectal Adenomas by Sofian Al Shboul, Heyam Awad, Anas Abu-Humaidan, Nidaa A. Ababneh, Ashraf I. Khasawneh, Tareq Saleh

Get full text

Minimum Data Spherical Spiral NF/FF Transformations for Offset-Mounted Elongated AUTs: An Experimental Validation by Francesco D’Agostino, Flaminio Ferrara, Claudio Gennarelli, Rocco Guerriero, Massimo Migliozzi, Luigi Pascarella, Giovanni Riccio

“…In order to perform the standard NF/far-field transformation (NF/FFT) technique, a non-centered AUT would generally require the collection of a significantly increased amount of voltage data if compared to the onset scenario. This issue is addressed here by using the non-redundant (NR) sampling representations of electromagnetic (EM) fields. …”
Get full text

Exploiting the Regularized Greedy Forest Algorithm Through Active Learning for Predicting Student Grades: A Case Study by Maria Tsiakmaki, Georgios Kostopoulos, Sotiris Kotsiantis

Get full text

Study on lithology identification using a multi-objective optimization strategy to improve integrated learning models: a case study of the Permian Lucaogou Formation in the Jimusae... by Xili Deng, Jiahong Li, Junkai Chen, Cheng Feng

“…Initially, a comprehensive sampling model—Smote-Tomek (ST) is used to introduce new feature information into the dataset while removing redundant features, effectively addressing the issue of data imbalance. …”
Get full text

Initial evaluation of a state-wide multi-method survey to estimate koala occupancy and abundance by Graeme R. Gillespie, Nicole Gallahar, Allen P. McIlwee, Benjamin Douglas Hope, Elliot B. Webb, Matthew Clements, Veronica F. Gama, Madison Casley, Tim S. Jessop

Get full text

Community pharmacist-and psychologist-led program of neuropsychological screening in the aftermath of the COVID-19 pandemic: A cross-sectional survey by Nicola Luigi BRAGAZZI, Fiorella PALOMBO-FERRETTI, Rocco CARBONE, Tania Simona RE, "Pharmacists- and Psychologists in community pharmacies-led Psychological Screening for Cognitive issues in the aftermath of the COVID-19 pandemic" (PsyChOVID) WORKING GROUP

Get full text

STATISTICAL ANALYSIS OF HOUSEHOLD MONEY by V. N. Salin, N. N. Kachanova, I. Y. Glebkova

Get full text

Efficient estimation method of population mean with non-response and observational error under ORRT models by Sunil Kumar, Chanda Rani, Housila P. Singh, J. P. S. Joorel

“…To tackle these issues, we employ optional randomized response technique (ORRT) models under simple random sampling and two-phase sampling. …”
Get full text

Features of Bearing on Underwater Object Using Phase Information of a Differential Stereo Sensor by V. A. Shirokov, A. I. Bazhenova, V. N. Milich

“…However, this equipment is sensitive to the sampling rate of the signals, which causes “sampling noise”. …”
Get full text

Pilot Implementation of HIV Self-Testing Delivery in Private Pharmacies Combined With a Respondent-Driven Sampling Method to Improve HIV Testing for Men Who Have Sex With Men and T... by Chhavarath Dary, Olivier Ségéral, Joseph Larmarange, Emilie Mosnier, Mohamed Ben Mechlia, Vichea Ouk, Bruno Spire, Vonthanak Saphonn

“…The recruitment of participants using a respondent-driven sampling method could provide the opportunity to reach MSM and TGW outside the network of CBOs. …”
Get full text

Current Trends in Class Imbalance Learning for Software Defect Prediction by Somya R. Goyal

“…Hybridization of data-sampling techniques with ensembles is effective to handle the class imbalance issue. …”
Get full text

Steel surface defect detection method based on improved YOLOv9 by Cong Chen, Hoileong Lee, Ming Chen

“…To improve the recognition accuracy of small targets, a bidirectional feature pyramid network (BiFPN) is integrated, enabling the model to capture small target features more precisely. Additionally, the DySample upsampling operator is employed to address the issue of detail loss in traditional upsampling methods, enhancing the model’s sensitivity and localization accuracy for small targets. …”
Get full text

Artificial Neural Network in the CATS Training System by Yu. V. Popova

Get full text

Research on monthly runoff prediction model considering secondary decomposition of multiple fitness functions and deep learning by Zhongfeng Zhao, Xueni Wang, Hua Jin, Jie Zheng

“…The issue of high-frequency noise in the decomposed components of runoff sequences and the difficulty in ensuring the rationality of algorithm parameters, this study proposes a monthly runoff prediction model for that considers multiple fitness function optimization. …”
Get full text