Far-Infrared Radiation with Sauna Method Improves Recovery of Fatigue and Muscle Damage in Athletes After Submaximal Physical Exercise by Oce Wiriawan, Hari Setijono, Shidqi Hamdi Pratama Putera, Ghana Firsta Yosika, Arifah Kaharina, Anindya Mar’atus Sholikhah, Adi Pranoto

“… Muscle damage is one of the most frequent causes of decreased physical ability in training. Injuries during exercise are caused by damage to soft tissue, such as muscles. …”
Get full text

Development of a multifactorial prediction model for commute mode choice in 10 983 Finnish public sector employees: a cross-sectional study by Jaana I Halonen, Paula Salo, Jenni Ervasti, Kia Gluschkoff, Jaakko Airaksinen, Anna Makkonen

“…The mean age was 46 (SD 11) years, and 84% were women.Primary outcomes Commute by (1) bike or foot (an active mode) during summer and winter weather and (2) by car (a passive mode) during summer and winter weather.Methods Using logistic Lasso (least-absolute-shrinkage-and-selection-operator) regression, we developed and tested a prediction model for short commutes of 5 km or less to identify the characteristics of employees most likely to commute actively during summer and winter weather and passively during summer and winter weather.Results All models had a good predictive ability with a C-index of 0.82, 0.77, 0.72 and 0.71. …”
Get full text

A correlational study of plasma galectin-3 as a potential predictive marker of postoperative delirium in patients with acute aortic dissection by Fei Jiang, Meiling Cai, Yanchun Peng, Sailan Li, Zhenzhen Wang, Qiong Pan, Chunsheng Wang, Liangwan Chen, Yanjuan Lin

“…Each patient’s plasma was tested before emergency surgery. Baseline demographic data and preoperative, intraoperative, and postoperative clinical data were collected. …”
Get full text

Abnormal heart sound recognition using SVM and LSTM models in real-time mode by Moy’awiah A. Al-Shannaq, Areen Nasrawi, Abed Al-Raouf K. Bsoul, Ahmad A. Saifan

“…This study aims to propose a real-time heart sound recognition system to classify both normal and abnormal phonocardiograms with the ability to define the abnormality type if existed. …”
Get full text

Influence of simultaneous treatment of seeds with ZnONPs and Bacillus subtilis on the biological quality parameters of red cabbage seedlings by Anna Krzepiłko, Katarzyna Matyszczuk, Małgorzata Ostrowska, Agata Święciło

“…Concentrations of 0.2 and 0.4 mg cm−3 ZnONPs were used to further test the simultaneous effects of ZnONPs and B. subtilis on red cabbage growth. …”
Get full text

Challenges and Strategies of Remote Foreign Language Learning for Students with Autism Spectrum Disorder by Iryna Haidai, Liudmyla Suvorova, Nataliia Pankovyk, Yuliia Herasymchuk, Olha Zadoienko

“…The results of the observation showed that the advantage of students with autism is their unique ability – to be able to work perfectly with a gadget. …”
Get full text

From Simulation to Field Validation: A Digital Twin-Driven Sim2real Transfer Approach for Strawberry Fruit Detection and Sizing by Omeed Mirbod, Daeun Choi, John K. Schueller

“…After training exclusively on images captured in the virtual environment, the model was tested on a commercial-scale strawberry farm using a physical ground vehicle. …”
Get full text

Assessing the Role of Large Language Models Between ChatGPT and DeepSeek in Asthma Education for Bilingual Individuals: Comparative Study by Yaxin Liu, Fangfei Yu, Xiaofei Zhang, Xiaohan Tong, Kui Li, Weikuan Gu, Baiquan Yu

“…Descriptive statistics and Wilcoxon signed-rank tests were applied to compare performance across domains and against theoretical maximums. …”
Get full text

Blood storage effect of G6PD on RBC quality by Andrew Evans Cobbinah, Benedict Sackey, Mina Ofosu, Herbert Ekoe Dankluvi, Stephen Opoku, Ampa Davis Frank

“…G6PD deficiency, the most prevalent enzyme deficit, is not currently tested for in blood products. G6PD deficiency is a genetic factor that influences the quality of stored red blood cells impacting their ability to respond to oxidative stress. …”
Get full text

An Enhanced and Lightweight YOLOv8-Based Model for Accurate Rice Pest Detection by Guisuo Liu, Juxing Di, Qing Wang, Yan Zhao, Yang Yang

“…The model’s generalization and robustness were tested on the Pests dataset and the Paddy Rice Pest dataset. …”
Get full text

Enhancing medical students’ diagnostic accuracy of infectious keratitis with AI-generated images by Wenjia Xie, Zhouhang Yuan, Yuxuan Si, Zhengxing Huang, Yingming Li, Fei Wu, Yu-Feng Yao

“…Abstract Background Developing students’ ability to accurately diagnose various types of keratitis is challenging. …”
Get full text

Change in Fractional Vegetation Cover and Its Prediction during the Growing Season Based on Machine Learning in Southwest China by Xiehui Li, Yuting Liu, Lei Wang

“…The determination coefficient <i>R</i>² scores from tenfold cross-validation for the four ML models indicated that LightGBM had the strongest predictive ability whereas RR had the weakest. WAHEM and LightGBM models performed the best overall in the training, validation, and test sets, with RR performing the worst. …”
Get full text

A BERT-Based Classification Model: The Case of Russian Fairy Tales by Валерий Дмитриевич Соловьев, Марина Ивановна Солнышкина, Andrey Ten, Николай Аркадиевич Прокопьев

“…Results: We validated BERT’s potential for Russian text classification and ability to enhance the performance and quality of the existing NLP models. …”
Get full text

Development of a cryptocurrency price prediction model: leveraging GRU and LSTM for Bitcoin, Litecoin and Ethereum by Ramneet Kaur, Mudita Uppal, Deepali Gupta, Sapna Juneja, Syed Yasser Arafat, Junaid Rashid, Jungeun Kim, Roobaea Alroobaea

“…Cryptocurrency represents a form of asset that has arisen from the progress of financial technology, presenting significant prospects for scholarly investigations. The ability to anticipate cryptocurrency prices with extreme accuracy is very desirable to researchers and investors. …”
Get full text

Vector competence of Aedes aegypti, Culex tarsalis, and Culex quinquefasciatus from California for Zika virus. by Bradley J Main, Jay Nicholson, Olivia C Winokur, Cody Steiner, Kasen K Riemersma, Jackson Stuart, Ryan Takeshita, Michelle Krasnec, Christopher M Barker, Lark L Coffey

“…Severe congenital and neurological sequelae have been linked to ZIKV infections. Assessing the ability of common mosquito species to transmit ZIKV and characterizing variation in mosquito transmission of different ZIKV strains is important for estimating regional outbreak potential and for prioritizing local mosquito control strategies for Aedes and Culex species. …”
Get full text

Evaluation of Antimicrobial Activity of a Pyrimidine Derivative Against <i>Staphylococcus Aureus</i> by A. A. TSIBIZOVA, A. L. YASINEVSKAYA, I. N. TYURENKOV, A. A. OZEROV, O. A. BASHKINA, M. A. SAMOTRUEVA

“…The assessment of the antimicrobial activity of pyrimidine compound 3 3-(2-Phenyl-2- oxoethyl)quinazoline-4(3H)-one was performed in vitro using a test culture of the S. aureus strain isolated from patients’ sputum by serial dilutions in meat-peptone broth, followed by the formation of sequences with a concentration of pyrimidine derivative 128 mcg/ml; 64 mcg/ml; 32 mcg/ml; 16 mcg/ml; 8 mcg/ml; 4 mcg/ml; 2 mcg/ml; 1 mcg/ml. …”
Get full text

Cold water ingestion ameliorates increase in core temperature and discomfort during simulated motor racing in a hot environment: a randomized trial by Stephen Richard Bird, Olga Troynikov, Chris Watson, Marc Cohen, Simon Sostaric

“…In both trials, response time to the cognitive test decreased as the trials progressed, with no evident difference in response time nor cognitive function between the two trials.DiscussionThe ingestion of cold water was associated with an ability to continue with volitional performance and associated with an ameliorated increase in core temperature as well as providing psychological benefits of cold “refreshment”.…”
Get full text

Machine learning reveals the dynamic importance of accessory sequences for Salmonella outbreak clustering by Chao Chun Liu, William W. L. Hsiao

“…The models demonstrated high precision and recall on unseen test data with near-perfect accuracy in classifying clonal and short-term outbreaks. …”
Get full text

Validation of GSLBI (Grade, Strained, Leaky, Breathy, Irregular): an Egyptian instrument for auditory perceptual assessment of voice by Marwa Saleh, Donia Ayman

“…It demonstrated good validity and acceptable reliability in the dysphonic group (Cronbach’s α = 0.758). Test-retest reliability, assessed through intra-rater agreement, showed moderate consistency across repeated evaluations by the same rater. …”
Get full text

Predictive modeling of multidrug resistance in female genital infections: implications for early urinary tract infection detection by Francis Chukwuebuka Ihenetu, Chinyere I. Okoro, Emeka Henry Okechukwu, Makuochukwu Maryann Ozoude, Farirai Melania Farirai

“…The predictive model showed moderate explanatory power (Nagelkerke R² = 0.233), good model fit (Hosmer-Lemeshow test, p = 0.961), and acceptable discriminatory ability (AUC = 0.753, p < 0.001), but had low sensitivity for MDR classification (2.8%). …”
Get full text