An objective test to assess upper limb functionality in patients with breast cancer-related lymphedema: investigation of the psychometric properties of the upper limb functional te... by Sukriye Cansu Gultekin, Ahmet Burak Cakir, Zeynep Gulsum Guc, Faruk Recep Ozalp, Merve Keskinkilic, Tugba Yavuzsen, Didem Karadibak

“…Results The ULIFT showed excellent test-retest reliability [ICC [95%] 0.92 (0.86–0.96)], a standard error of measurement of 3.91 s, and a minimum detectable change of 10.83 s. …”
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Discriminative Validity and Reliability of the Single-Leg Squat and Single-Leg Landing Frontal Plane Kinematics in Individuals with Lower Limb Functional Deficits by Jean Marlon Machado, Marcelo Peduzzi de Castro, Amandda de Souza, Carlos Alberto Atherinos Pierri, Francisco Xavier de Araujo, Heiliane de Brito Fontana, Caroline Ruschel

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Stepwise autonomous orbit determination of large LEO constellations by GNSS observations with partial inter-satellite ranging by Yuanxi Yang, Xiaoyong Song

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Enhancing Arabic Language Education through Virtual Education: Validation of a Teaching Model in Iraqi Secondary Schools by Abbas Taher Allawi Gharabat, Nasrolah Ghashghaeizadeh, Jalal Shanta Jaber, Faranak Mosavi

“…For the survey phase, 368 participants were chosen using stratified random sampling techniques outlined in the Krejcie and Morgan table. The research utilized a researcher-developed questionnaire designed to assess the efficacy of the virtual education model in Arabic language teaching. …”
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Parametric optimization of flow in a solar chimney power plant under variable semi elliptical constraints by Rajamurugu Natarajan, S. Yaknesh, K B Prakash, Mohammed Al Awadh, Qasem M. Al-Mdallal

“…In addition, a comparison between computational and experimental approaches revealed an error approximation of up to 5%. FSCPP-1 outperformed its subgroup with velocity and temperature enhancements up to 5% and 2%, while HSCPP-1 surpassed its group with 4% and 1% enhancement. …”
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Impact of INSAT‐3D land surface temperature assimilation via simplified extended Kalman filter‐based land data assimilation system on forecasting of surface fields over India by Abhishek Lodh, Ashish Routray, Devajyoti Dutta, Vivek Singh, John. P. George

“…By assimilating LT, the mean error of maximum and minimum temperature forecasts in India was decreased, accompanied by enhanced forecast accuracy within a time frame of approximately 24 h. …”
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Standardised self-management kits for children with type 1 diabetes: pragmatic randomised trial of effectiveness and cost-effectiveness by Davina Allen, Ian T Russell, John W Gregory, Daphne Russell, Cynthia Carter, Deborah Edwards, Llinos Haf Spencer, Yvonne Sylvestre, Rhiannon Whitaker, Seow Tien Yeo

“…Secondary: HbA1c; General PedsQL; EQ-5D; healthcare resource use.Results Of the five Diabetes PedsQL dimensions, Worry showed adjusted scores significantly favouring self-management kits at 3 months (mean child-reported difference =+5.87; Standard error[SE]=2.19; 95% confidence interval [CI]) from +1.57 to +10.18; p=0.008); but Treatment Adherence significantly favoured controls at 6 months (mean child-reported difference=−4.68; SE=1.74; 95%CI from −8.10 to −1.25; p=0.008). …”
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Quantitative Analysis of 3-Monochloropropane-1,2-diol in Fried Oil Using Convolutional Neural Networks Optimizing with a Stepwise Hybrid Preprocessing Strategy Based on Fourier Tra... by Xi Wang, Siyi Wang, Shibing Zhang, Jiping Yin, Qi Zhao

“…As one kind of ‘probable human carcinogen’ (Group 2B) compound classified by the International Agency for Research on Cancer, 3-MCPD is mainly formed during the thermal processing of food. …”
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A novel reconstruction-based video anomaly detection with idempotent generative network by Wenmin Dong, Lifeng Zhang, Wenjuan Shi, Xiangwei Zheng, Yuang Zhang

“…Reconstruction-based VAD has received increasing research attention, but faces challenges such as missing anomalies for the reconstruction error as a criterion, and information loss when suppressing anomalous data, existing methods also struggle to detect unseen anomalies. …”
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A hybrid model for short-term offshore wind power prediction combining Kepler optimization algorithm with variational mode decomposition and stochastic configuration networks by Bingbing Yu, Yonggang Wang, Jun Wang, Yuanchu Ma, Wenpeng Li, Weigang Zheng

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Reference library for suspect screening of environmental toxicants using ion mobility spectrometry-mass spectrometry by Devin Teri, Noor A. Aly, James N. Dodds, Jian Zhang, Paul A. Thiessen, Evan E. Bolton, Kara M. Joseph, Antony J. Williams, Emma L. Schymanski, Ivan Rusyn, Erin S. Baker

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Application of multiple linear regression model and long short-term memory with compartmental model to forecast dengue cases in Selangor, Malaysia based on climate variables by Xinyi Lu, Su Yean Teh, Chai Jian Tay, Nur Faeza Abu Kassim, Pei Shan Fam, Edy Soewono

“…The proposed approach outperformed three alternative approaches and expanded the temporal horizon of dengue prediction for Selangor with the ability to forecast approximately 60 weeks ahead with a Mean Absolute Percentage Error (MAPE) of 13.97 for the chosen prediction window before the implementation of the Movement Control Order (MCO) in Malaysia. …”
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Wearable Devices for Quantifying Atrial Fibrillation Burden: A Systematic Review and Bayesian Meta-Analysis by Ioannis Anagnostopoulos, Dimitrios Vrachatis, Maria Kousta, Sotiria Giotaki, Dimitra Katsoulotou, Christos Karavasilis, Gerasimos Deftereos, Nikolaos Schizas, Dimitrios Avramides, Georgios Giannopoulos, Theodore G. Papaioannou, Spyridon Deftereos

“…Bayesian analysis revealed no statistically significant differences between wearables and reference methods in AF burden quantification. The mean error was 1% (95% CrIs: −4% to 7%). Similar findings were observed in the subgroup analysis of studies assessing only smartwatches. …”
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Optimization design and experiment of cam-elliptical gear combined vegetables curved surface labeling mechanism by Lei Zhang, Lei Zhang, Heng Zhou, Jianneng Chen, Jianneng Chen, Junhua Tong, Junhua Tong, Yang Liu, Xiaowei Zhang

“…After the quadratic optimization the distance error of the center point of suction cup and the labeling point is reduced from 1.3 mm to 0.12 mm, and the velocity during labeling and taking position is reduced from 0.10770 m s−1 to 0.0037 m s−1. …”
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Artificial Neural Network Approach to Predict Carbonation Depth in Metakaolin, Brick Powder and Calcined Sediments-Modified Mortars by Benamar Souheyla, Kameche Zine El Abidine, Mamoune Sidi Mohamed Aissa, Siad Hocine, Houmadi Youcef

“…This research uses Artificial Neural Network (ANN) as a soft computing technique to predict the carbonation depth and service life of cementitious materials with low clinker content. …”
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SVM-Assisted Realization and Demonstration of Indoor 4 Mb/s Non-Line-of-Sight Visible Light Communication With Second-Order Reflection by Yonghe Zhu, Chen Gong, Jianghua Luo, Zhengyuan Xu, Weiqiang Xu

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A Non-Contacted Height Measurement Method in Two-Dimensional Space by Phu Nguyen Trung, Nghien Ba Nguyen, Kien Nguyen Phan, Ha Pham Van, Thao Hoang Van, Thien Nguyen, Amir Gandjbakhche

“…Results indicate that the proposed method yields height measurements with a minimal error margin of approximately 1.2%. Future research will extend this approach to accommodate additional positions, such as lying down, cross-legged, and bent-legged. …”
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Advanced 3D Depth Imaging Techniques for Morphometric Analysis of Detected On-Tree Apples Based on AI Technology by Eungchan Kim, Sang-Yeon Kim, Chang-Hyup Lee, Sungjay Kim, Jiwon Ryu, Geon-Hee Kim, Seul-Ki Lee, Ghiseok Kim

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Coverage Estimation of Droplets Sprayed on Water-Sensitive Papers Based on Domain-Adaptive Segmentation by Dae-Hyun Lee, Baek-Gyeom Seong, Seung-Yun Baek, Chun-Gu Lee, Yeong-Ho Kang, Xiongzhe Han, Seung-Hwa Yu

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Bridging the Sim-to-Real Gap in Motion Planning for Autonomous Electric Vehicles Using Autoware: A Comparative Study of Simulation and Real-World Deployment by Manikandan Ganesan, Bharatiraja Chokkalingam, Sivanathan Kandhasamy, Rajesh Verma, Lucian Mihet-Popa

“…Quantitative analysis of planned, simulated, and measured trajectories revealed significant improvements in localization accuracy and trajectory adherence, with Root Mean Square Error (RMSE) values for longitudinal and lateral positions reduced to 0.839 m and 0.1044 m, respectively. …”
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