Neuropsychological Performance: How Mental Health Drives Attentional Function in University-Level Football Athletes by Sacha Assadourian, Dima Daher, Catherine Leclerc, Antony Branco Lopes, Arnaud Saj

“…Attentional performance was generally average, but players exhibited faster reaction times in the alertness task without warning, fewer errors in the sustained attention task, and lower scores in the divided attention task, favoring visual information over auditory information. …”
Get full text

Enhancing Health Mention Classification Through Reexamining Misclassified Samples and Robust Fine-Tuning Pre-Trained Language Models by Deyu Meng, Tshewang Phuntsho, Tad Gonsalves

“…Our findings demonstrate the method’s effectiveness in improving health mention detection and contribute to the field of explainable AI, offering insights into the decision-making process of models. …”
Get full text

A machine vision approach for classification and dimensional design of furniture panels using GMM-SVM by Yuan Tian, Li Zhao, Haoxin Li

“…In addition, for the plate size design system, the errors obtained in the experiments are small, which can meet the actual needs. …”
Get full text

The Application of Earth Observation Data to Desert Locust Risk Management: A Literature Review by Gachie Eliud Baraka, Giudo D’Urso, Oscar Rosario Belfiore

“…The review reveals that the application of EO technology is inclined in favour of desert locust habitat suitability assessment with a limited financial quantification of losses. The review also finds a progressive advancement in the use of multi-modelling approaches to address identified gaps and reduce computational errors. …”
Get full text

3D LiDAR Multi-Object Tracking Using Multi Positive Contrastive Learning and Deep Reinforcement Learning by Minho Cho, Euntai Kim

“…Current MOT methods typically employ a Tracking-by-Detection(TbD) approach, where objects are detected in each frame and matched across frames. …”
Get full text

Estimation of Tree Diameter at Breast Height (DBH) and Biomass from Allometric Models Using LiDAR Data: A Case of the Lake Broadwater Forest in Southeast Queensland, Australia by Zibonele Mhlaba Bhebhe, Xiaoye Liu, Zhenyu Zhang, Dev Raj Paudyal

“…Model performance was assessed using five statistical metrics: root mean squared error (RMSE), mean absolute error (MAE), mean absolute percentage error (MAPE), percentage bias (MBias), and the coefficient of determination (R<sup data-eusoft-scrollable-element="1">2</sup>). …”
Get full text

Validity and Reliability of Kinovea^® for Pelvic Kinematic Measurement in Standing Position and in Sitting Position with 45° of Hip Flexion by Lucía Vicente-Pina, Rocío Sánchez-Rodríguez, Loreto Ferrández-Laliena, Jose Heredia-Jimenez, Julián Müller-Thyssen-Uriarte, Sofía Monti-Ballano, César Hidalgo-García, José Miguel Tricás-Moreno, María Orosia Lucha-López

“…Additionally, the technical error of measurement (TEM), relative TEM, standard error of measurement, and minimal detectable change (MDC) were calculated to establish Kinovea^®’s accuracy. …”
Get full text

Estimating Gait Speed in the Real World With a Head-Worn Inertial Sensor by Paolo Tasca, Francesca Salis, Samanta Rosati, Gabriella Balestra, Claudia Mazza, Andrea Cereatti

“…The stride detector achieved high detection rate (F1-score &#x003E; 92%) and accuracy (mean absolute error &#x003C; 40 ms). …”
Get full text

Advanced ERT techniques for methane potential evaluation in controlled dump sites: A forward modeling approach by Pornchanok Boonsakul, Desell Suanburi, Sirintornthep Towprayoon, Chart Chiemchaisri, Komsilp Wangyao

“…The results were compared with synthetic data simulated using the forward modeling technique, and the model's accuracy was evaluated using the Nash-Sutcliffe model efficiency coefficient (NSE), model sensitivity, and root mean square error (RMSE). Additionally, we analyzed the model's correlation with CH4 flux measurements. …”
Get full text

Multi-label semantic segmentation of magnetic resonance images of the prostate gland by Mark Locherer, Christopher Bonenberger, Wolfgang Ertel, Boris Hadaschik, Kristina Stumm, Markus Schneider, Jan Philipp Radtke

“…Although we trained on tiny datasets our method achieves excellent segmentation quality and is even able to detect prostate cancer. Our method to combine the two datasets reduces segmentation errors and increases data variety. …”
Get full text

Diagnosis on Ultrasound Images for Developmental Dysplasia of the Hip with a Deep Learning-Based Model Focusing on Signal Heterogeneity in the Bone Region by Hirokazu Shimizu, Ken Enda, Hidenori Koyano, Takuya Ogawa, Daisuke Takahashi, Shinya Tanaka, Norimasa Iwasaki, Tomohiro Shimizu

“…<b>Results:</b> Key findings include: (1) Superior accuracy in apex point estimation by the HigherHRNet-W48 model, even better than orthopedic residents. (2) Thorough quality assessments of ultrasound images, leading to qualified and disqualified categories, with qualified images displaying notably lower error rates. (3) The AUC of the model for DDH detection in the qualifying images was 0.92, exceeding the diagnostic accuracy of the resident, indicating the diagnostic capability of the tool. …”
Get full text

Bringing Machine Learning Classifiers Into Critical Cyber-Physical Systems: A Matter of Design by Burcu Sayin, Tommaso Zoppi, Nicolo Marchini, Fahad Ahmed Khokhar, Andrea Passerini

“…We validate our approach through experiments on tabular datasets related to failure prediction, intrusion detection, and error detection&#x2014;common use cases for classifiers in CPSs. …”
Get full text

Respondent driven sampling: determinants of recruitment and a method to improve point estimation. by Nicky McCreesh, Andrew Copas, Janet Seeley, Lisa G Johnston, Pam Sonnenberg, Richard J Hayes, Simon D W Frost, Richard G White

“…Consistent with these findings, weighting for non-random presentation for interview by age and socioeconomic status group greatly improved the estimate of the proportion of men in the lowest socioeconomic group, reducing the root-mean-squared error of RDS estimates of socioeconomic status by 38%, but had little effect on estimates for age. …”
Get full text

Research on real time measurement model and measurement system for gas concentration in extraction drilling by Dayang Yu, Junhao Zhu, Xing Li, An He, Huaiqian Liu, Changjiang Chen, Yong Liu

“…Experimental validation using 0.5% and 4.5% CH₄ standard gases yielded the following key findings:(1) Methane concentration accuracy is highly dependent on line strength and spectral shape, both sensitive to temperature and pressure. (2) The Lorentzian profile was selected as the optimal line shape for pressure-broadened conditions, and the proposed interpolation algorithm effectively compensates for dual-variable spectral shifts. (3) The system achieves a maximum measurement error below 0.5%, demonstrating strong robustness and precision in variable environments. …”
Get full text

Pengembangan Automated Image Analysis untuk Menentukan Jumlah Bakteri Tahan Asam (BTA) pada Kasus Tubercolosis by Safri Adam, Puji Astuti, Puspa Amalia, Fadli Sukandiarsyah

“…Abstract Diagnosis of TB (tuberculosis) by health workers is an important key in finding new TB patients. The general diagnosis used in TK 1 Health Facilities (Faskes) is carried out by revealing a patient's sputum specimen using the Ziehl-Neelsen method to detect the presence of acid-fast bacteria such as Mycobacterium tuberculosis, which causes TB. …”
Get full text

Forensic Video Analysis: Passive Tracking System for Automated Person of Interest (POI) Localization by Aftab Khan, Sakhi Rehman, Muhammad Waleed, Ashfaq Khan, Umair Khan, Tariq Kamal, Shehryar Khan Afridi, Safdar Nawaz Khan Marwat

“…The proposed system reduces the human burden, human error and reduces the time taken when searching the POI manually. …”
Get full text

Comparative Analysis and Optimal Selection of Calibration Functions in Pure Rotational Raman Lidar Technique by Yinghong Yu, Siying Chen, Wangshu Tan, Rongzheng Cao, Yixuan Xie, He Chen, Pan Guo, Jie Yu, Rui Hu, Haokai Yang, Xin Li

“…Conclusions based on the simulation results are validated with actual data, and the factors influencing calibration errors are discussed. Utilizing these findings to guide CF selection can enhance the accuracy and stability of PRR lidar detection.…”
Get full text

Evaluating career self-awareness instruments for victims of violence using the Rasch model by Mamat Supriatna, Dodi Suryana, Megga Nur Anzhali, Amelia Mohd Noor

“…Data were analyzed using the Rasch model and Winsteps 3.73 application, Rasch model procedures and criteria are unidimensionality, person instrument analysis and item reliability, person item map, item difficulty, item fit, rating scale diagnostics, and item bias detection. Results The significance of the research findings is assessed based on unidimensionality in the “good” category, Analysis based on Andrich’s threshold shows the score increased to the appropriate level, Cronbach alpha value represents the interaction between person and item in the good category, and the person reliability value is 0.89 while the item reliability is 0.98. …”
Get full text

Examining academic integrity policy and practice in the era of AI: a case study of faculty perspectives by Rami Alsharefeen, Naji Al Sayari

“…This research contributes novel insights into underexplored scenarios including language assistance, translation, peer idea sharing, and citation errors, illuminating the evolving landscape of academic integrity in digital and collaborative environments. …”
Get full text

A Machine Learning Aided Reference-Tone-Based Phase Noise Correction Framework for Fiber-Wireless Systems by Guo Hao Thng, Said Mikki

“…To evaluate the feasibility of the proposed machine learning based phase noise correction approach, software simulations were conducted to collect data needed for machine leanring algorithm training. Initial findings suggests that the proposed machine-learning-based receiver&#x2019;s can perform close to conventional heterodyned-based receivers in terms of detection accuracy, exhibiting great tolerance against phase-induced noise, with a symbol error rate improvement from <inline-formula> <tex-math notation="LaTeX">$10^{-2}$ </tex-math></inline-formula> to <inline-formula> <tex-math notation="LaTeX">$10^{-5}$ </tex-math></inline-formula>, using a relatively simple machine learning algorithm with only 3 hidden layers consisting of fully connected feedforward neural networks.…”
Get full text