Development and Validation of the Digital Health Literacy Questionnaire for Stroke Survivors: Exploratory Sequential Mixed Methods Study by Qin Ye, Wei Wang, Xuan Zeng, Yuxian Kuang, Bingbing Geng, Song Zhou, Ning Liu

“…The factor model fit was good with χ24=1.669; root mean square error of approximation=0.047; Tucker-Lewis Index=0.973; and Comparative Fit Index=0.977. …”
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Structural validity and internal consistency of the Patient Centred Assessment Method in a primary care setting in a Japanese island area: a cross-sectional study by Masato Matsushima, Shuhei Yoshida, Rieko Mutai, Yoshifumi Sugiyama, Ryoko Horiguchi, Hisashi Yoshimoto

“…Confirmatory factor analysis found that the previously reported two-factor and three-factor structures did not show a good fit (root mean square error of approximation 0.18 and 0.16, comparative fit index 0.83 and 0.89 and standardised root mean square residual 0.14 and 0.11, respectively). …”
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Distributionally Robust Low-Carbon Scheduling Model for Virtual Power Plants Considering Emerging Distributed Resources and Electricity Carbon Trading by WANG Jiayi, HE Shuaijia

“…[Conclusions] Electricity-carbon trading and the integration of electric hydrogen production system and carbon capture system can jointly reduce scheduling costs， abandoned electricity， and carbon emissions. …”
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A Transcriptional Signature of Fatigue Derived from Patients with Primary Sjögren's Syndrome. by Katherine James, Shereen Al-Ali, Jessica Tarn, Simon J Cockell, Colin S Gillespie, Victoria Hindmarsh, James Locke, Sheryl Mitchell, Dennis Lendrem, Simon Bowman, Elizabeth Price, Colin T Pease, Paul Emery, Peter Lanyon, John A Hunter, Monica Gupta, Michele Bombardieri, Nurhan Sutcliffe, Costantino Pitzalis, John McLaren, Annie Cooper, Marian Regan, Ian Giles, David Isenberg, Vadivelu Saravanan, David Coady, Bhaskar Dasgupta, Neil McHugh, Steven Young-Min, Robert Moots, Nagui Gendi, Mohammed Akil, Bridget Griffiths, UK Primary Sjögren’s Syndrome registry, Anil Wipat, Julia Newton, David E Jones, John Isaacs, Jennifer Hallinan, Wan-Fai Ng

“…The classifiers had AUCs of 0.866 (SE(W) 0.002) and 0.525 (SE(W) 0.006), respectively.<h4>Conclusions</h4>Systematic analysis of gene expression data from pSS patients discordant for fatigue identified 55 genes which are predictive of fatigue level using SVM classification. …”
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Estimation of Free-Living Energy Expenditure by Heart Rate and Movement Sensing: A Doubly-Labelled Water Study. by Søren Brage, Kate Westgate, Paul W Franks, Oliver Stegle, Antony Wright, Ulf Ekelund, Nicholas J Wareham

“…PAEE (TEE ÷ REE ÷ DIT) and TEE were compared to estimates from ACC and HR using bias, root mean square error (RMSE), and correlation statistics.<h4>Results</h4>Mean(SD) measured PAEE and TEE were 66(25) kJ·day(-1)·kg(-1), and 12(2.6) MJ·day(-1), respectively. …”
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Impact assessment of integrated-pathy on anthropometric, physiological, biochemical, and psychological parameters on type 2 diabetes mellitus patients: A single-arm, observational... by Akshay Vashisht, Medha Bhatt, Vedpriya Arya

“…VLDL cholesterol decreased by 7.4%, triglycerides by 2.14%, and total cholesterol by 3.95%. Conclusions: Our study has attempted to determine the efficacy of integrated-pathy for T2DM patients. …”
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mHealth Engagement for Antiretroviral Medication Adherence Among People With HIV and Substance Use Disorders: Observational Study by Ranran Z Mi, Ellie Fan Yang, Alexander Tahk, Adati Tarfa, Lynne M Cotter, Linqi Lu, Sijia Yang, David H Gustafson Sr, Ryan Westergaard, Dhavan Shah

“…Using the weekly check-in record provided by participants as the unit of analysis (N=681), linear regression and structure equation models with cluster-robust SEs were used for analyses, controlling within-person autocorrelation and group-level error correlations. Racial groups were examined as moderators in the structure equation models. …”
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Relationship between smoking and marital adjustment & social support among women with spouses experiencing alcohol/substance use disorders by Gozde Alkan, Duygu Altin, Gorkem Yararbas, Hur Hassoy

“…The population was calculated with a 20% prevalence 4% margin of error and a 95% confidence interval, and the sample size was 306. …”
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Digital Health Literacy Questionnaire for Older Adults: Instrument Development and Validation Study by Xinxin Wang, Chengrui Zhang, Yue Qi, Ying Xing, Yawen Liu, Jiayi Sun, Wei Luan

“…Confirmatory factor analysis demonstrated a good model fit (χ2/df=2.803, root-mean-square error of approximation=0.071, comparative fit index=0.907, goodness-of-fit index=0.773, incremental fit index=0.908, Tucker-Lewis index=0.901, normed fit index=0.863). …”
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Correlation of bone density of individual jaw sections according to Hounsfield with the length of the adentiary section in the cone-beam computer tomography program by O. V. Sydor, T. V. Strohonova, S. D. Varzhapetian

“…Statistical methods included the estimation of the arithmetic mean (M), standard deviation (σ), error of the mean (m), confidence interval (95 % CI), estimation of the median (Me) and interquartile range ([Q1; Q2]), Student’s test (t criterion). …”
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Optimizing deep learning models to combat amyotrophic lateral sclerosis (ALS) disease progression by Haoshen Qin, Lal Hussain, Ziang Liu, Xu Yan, Fuad A. Awwad, Faisal Mehmood Butt, Umair Ahmad Salaria, Emad A.A. Ismail

“…Feature importance analysis with optimized XGBoost identified ZBTB2P1 as the most influential feature, followed by RNF181, with WASH9P being the least influential among the top eight. Conclusions These findings convincingly demonstrate the potential of optimized XGBoost and deep learning for ALS progression prediction and classification, particularly with optimized parameters. …”
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Assessing dengue forecasting methods: a comparative study of statistical models and machine learning techniques in Rio de Janeiro, Brazil by Xiang Chen, Paula Moraga

“…Employing a dynamic window approach, various statistical methods and machine learning techniques were used to generate weekly forecasts at several time horizons. Error measures, uncertainty intervals, and computational efficiency obtained with each method were compared. …”
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scE2EGAE: enhancing single-cell RNA-Seq data analysis through an end-to-end cell-graph-learnable graph autoencoder with differentiable edge sampling by Shuo Wang, Yuanning Liu, Hao Zhang, Zhen Liu

“…The results show that, on the scRNA-Seq data denoising task, scE2EGAE outperforms most of the methods, proving that it can learn cell-to-cell graphs containing real information of cell-to-cell relationships. Conclusions: In this paper, we validate the proposed scE2EGAE method through its application to the denoising task of scRNA-Seq data. …”
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Impact of sensorimotor mismatch on virtual reality sickness and user experience: age-related differences in a randomized trial by Elisabeth Jochmann, Thomas Jochmann, Maximilian Weber, Karolin Weigel, Carsten Klingner

“…However, the Mismatch group reported higher levels of exhaustion and frustration compared to the Error-based and Errorless groups, indicating the impact of cognitive strain and task difficulty on user experience. …”
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Performance of Plug-In Augmented ChatGPT and Its Ability to Quantify Uncertainty: Simulation Study on the German Medical Board Examination by Julian Madrid, Philipp Diehl, Mischa Selig, Bernd Rolauffs, Felix Patricius Hans, Hans-Jörg Busch, Tobias Scheef, Leo Benning

“…Additionally, we conducted an analysis to assess how the models justify their answers, the accuracy of their responses, and the error structure of their answers. Bootstrapping and CIs were used to evaluate the statistical significance of our findings. …”
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Can AI-Based ChatGPT Models Accurately Analyze Hand–Wrist Radiographs? A Comparative Study by Ahmet Yıldırım, Orhan Cicek, Yavuz Selim Genç

“…No statistically significant difference was observed in the mean absolute error (MAE) among the models (<i>p</i> > 0.05). The GPT-o4-mini-high model achieved an accuracy rate of 72.2% within a ±2 year deviation range for bone age prediction. …”
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Accuracy of the Freestyle Libre 3 Continuous Glucose Monitoring System in Hypo‐ and Euglycemic Cats by Antonio M. Tardo, Chiquitha Crews, Jocelyn Mott, Lauren T. Porter, Christopher Adin, Chen Gilor

“…Pearson's r test, Bland–Altman test, and Parkes Error Grid analysis (EGA) respectively used to determine correlation, bias, and clinical accuracy. …”
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Estimating the cost of illness of acute Japanese encephalitis and sequelae care in Vietnam and Laos: A cross-sectional study. by An Le Thanh Nguyen, Rose Slavkovsky, Hai Thanh Phan, Huong Thi Thu Nguyen, Souphaphone Vannachone, Dang Hai Le, Audrey Dubot-Pérès, Manivanh Vongsouvath, Son Thai Dinh, Anthony A Marfin, G William Letson, Huong Minh Vu, Dung Chi Tham, Mayfong Mayxay, Elizabeth A Ashley, Thai Quang Pham, Clint Pecenka

“…In Vietnam, the mean total cost was $3,371 per acute JE episode (median $2,071, standard error [SE] $464) while annual costs were $404 for initial sequelae care (median $0, SE $220) and $320 for long-term sequelae care (median $0, SE $108). …”
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The performance of 76 kHz positional acoustic telemetry is challenged by acoustic conditions in the tailrace of a hydroelectric dam by C. Ryan Hill, Antóin M. O’Sullivan, R. Allen Curry, Tommi Linnansaari, Philip M. Harrison

“…However, environmental features common to these settings—such as rocks, vegetation, bubbles, and suspended particles—can reflect, scatter, or absorb acoustic signals, contributing to spatial and temporal variation in positioning error. Therefore, validating system performance in tailrace environments is important for study design and interpretation. …”
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Phenomenological characterization and effect of reaction rate of coaxial reaction flow by LI Yu, FAN Yihui, BIAN Pingyan, ZHANG Haiguang, QU Haijun, WANG Jianping

“…The effects of the flow rate（constant flow rate ratio），concentration and co-flow distance of sodium alginate and calcium chloride solution on the thickness of cross-linked layer and average reaction rate were studied experimentally.ResultsThe results showed that： Compared with the hollow fiber size detected by online image recognition and elution method，the error between the two was only 1.09%， which could satisfy the engineering application requirements. …”
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