Contemporary challenges, needs and opportunities for emerging behavioral nutrition and physical activity researchers: a mixed-methods study by Brittany J. Johnson, Stephanie E. Chappel, Sarah Shaw, Emma R. Lawlor, Stephen Barrett, Kylie Wilson, Christine W. St Laurent, Hilary Caldwell, Brianne A. Bruijns, Sarah Burkart, Taylor J. Willmott, Daehyoung Lee, Simone J. J. M. Verswijveren

“…Data analysis included thematic analysis of open-ended responses and descriptive statistics and multiple linear regressions of quantitative data. Integration of quantitative and qualitative data was through narrative and weaving. …”
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Association of glyphosate exposure with frailty and all-cause mortality in general adults: A population-based cohort study by Tongtong Yang, Liuhua Zhou, Peng Jing, Yulin Bao, Lingfeng Gu, Yixi Chen, Xinying Shi, Hao Wang, Liansheng Wang, Sibo Wang

“…Multivariable logistic regression showed that elevated urinary glyphosate correlated with increased frailty prevalence (log2-transformed, adjusted OR = 1.14, 95 % CI: 1.04–1.25; quartiles, P for trend = 0.002), with a linear dose-response relationship (P value for nonlinearity = 0.568). …”
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The effect of healthier menu item price reductions in the out-of-home food sector on energy purchased and consumed: a restaurant-based pilot experiment by Rozemarijn Witkam, Jane Brealey, Rebecca Latham, Andrew Jones, Eric Robinson

“…A sub-study was conducted with a comparison sample to estimate potential pre-post changes to outcome variables in the absence of a pricing intervention. Linear mixed models assessed pre-post changes in kcal purchased and kcal consumed. …”
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Computerized cognitive testing to capture cognitive decline in Alzheimer's disease: Longitudinal findings from the ARMADA study by Roos J. Jutten, Emily H. Ho, Tatiana Karpouzian‐Rogers, Carol van Hulle, Cynthia Carlsson, Hiroko H. Dodge, Cindy J. Nowinski, Richard Gershon, Sandra Weintraub, Dorene M. Rentz

“…METHODS N = 171 participants (age 76.5 ± 8; 53% female, 34% Aβ‐positive) from the ARMADA study completed the NIHTB‐CB at baseline, 12 months, and 24 months. Linear mixed‐effect models correcting for demographics were used to examine cross‐sectional and longitudinal NIHTB‐CB scores in individuals across the clinical AD spectrum. …”
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Genome-wide association analysis revealed novel candidate genes for body measurement traits in indigenous Gudali and crossbred Simgud in Cameroon by Youchahou Poutougnigni Matenchi, Evren Koban Bastanlar, Matthew Hegarty

“…The analysis focused on identifying genomic regions and candidate genes associated with body traits in a local Zebu (Gudali) and its crossbreed with the European Simmental (Simgud), using mixed linear models (MLM). Results The SNP-based heritability for the four body traits studied varied between 0.23 ± 0.12 for the height at wither (HAW) to 0.44 ± 0.11 for the sacrum height (SH). …”
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Extraction of Levees from Paddy Fields Based on the SE-CBAM UNet Model and Remote Sensing Images by Hongfu Ai, Xiaomeng Zhu, Yongqi Han, Shinai Ma, Yiang Wang, Yihan Ma, Chuan Qin, Xinyi Han, Yaxin Yang, Xinle Zhang

“…Through a dual-attention collaborative mechanism, the model achieves a synergistic perception of the linear features and boundary information of levees, thereby significantly improving the accuracy of levee extraction. …”
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The effect of training data size on real-time respiration prediction using long short-term memory model by Wenzheng Sun, Jun Dang, Lei Zhang, Qichun Wei, Chao Li, Ye Liu, Huang Jing, Kanghua Huang, Yuanpeng Zhang, Bing Li

“…The relationship between TDS and the prediction accuracy of the LSTM model was not linear. The 90 s seemed to be an optimal TDS for the respiration signal prediction tasks using the LSTM model, as it was the shortest time at which a favorable prediction accuracy was maintained in this study.…”
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New method of modified chemoradiotherapy for cancer of the upper and middle ampullary rectum by Yu. A. Gevorkyan, N. V. Soldatkina, M. N. Chernyak, M. A. Gusareva, O. K. Bondarenko, E. A. Dzhenkova, A. V. Dashkov, V. E. Kolesnikov, D. S. Petrov, R. E. Tolmakh, D. A. Savchenko

“…In one day, patients begin to undergo a course of conformal remote large- fraction radiation therapy to the primary focus and metastasis pathways for 5 sessions with a single focal dose of 5 Gy to a total focal dose of 25 Gy using a low-energy linear accelerator. During the entire course of radiation therapy, fluorouracil 500 mg is administered daily intravenously for 30 minutes in 30 minutes before the session. …”
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Subjective well-being of Kenyan children reunified with families from residential care institutions: A closer look at child disability by Sarah Elizabeth Neville, Joanna Wakia, John Hembling, Beth Bradford, Martin Kiandiko, Michael Ochieng, Edith Apiyo, Khadija Karama, Alividzah Kituku, Maureen Obuya, Missie Oindo, Wilson Ochuka, Indrani Saran, Margaret Lombe, Thomas M. Crea

“…Methods: We drew upon a cross-sectional household survey of N = 105 children and conducted multiple linear regressions with clustered errors that controlled control for child sex, age, and time since family reunification. …”
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Self-administered dual-task training reduces balance deficits and falls among community-dwelling older adults: a multicentre parallel-group randomised controlled trial with economi... by Wai-Chi Chan, Cynthia Huijun Chen, Mohammad Jobair Khan, Kenneth N. K Fong, Thomson Wai-Lung Wong, William Wai-nam Tsang, Stanley Winser

“…Effectiveness will be assessed using a negative binomial regression model following the intention-to-treat principle for falls and a linear mixed model for the additional measure and cost-effectiveness using a Markov model.Ethics and dissemination This study has ethical approval from the PolyU Institutional Review Board for conducting research on human subjects (Ref: HSEARS20210322005). …”
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Real-Time Detection and Localization of Force on a Capacitive Elastomeric Sensor Array Using Image Processing and Machine Learning by Peter Werner Egger, Gidugu Lakshmi Srinivas, Mathias Brandstötter

“…Machine learning models such as linear regression, Support Vector Machine, decision tree, and Gaussian Process Regression were evaluated to correlate force with capacitance values. …”
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Social determinants of health and all-cause or cardiovascular mortality in chronic kidney disease: insights from 1999-2018 US National Health and Nutrition Examination Survey by Limin Xu, Fengling Chen, Ying Huang, Bing You, Xiaopan Zhang, Bo Sun

“…Restricted cubic spline analysis indicated linear dose-response relationships between SDOH levels and all-cause or CVD mortality. …”
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Low health literacy is associated with patient–clinician discrepancy in the perceived severity of medical emergencies by Matthias Nuernberger, Thomas Lehmann, Stefan Brodoehl, Jutta Huebner, Jan-Christoph Lewejohann

“…Spearman correlations and Kruskal–Wallis tests compared agreement across HL levels; linear and logistic regressions examined predictors of discrepancy and severe outcome.ResultsPatients with adequate HL showed the strongest alignment with clinicians (ρ = 0.24), whereas correlations were weaker in the inadequate group (ρ = 0.18). …”
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Predictive value of MetS-IR for the glucose status conversion in prediabetes: a multi-center retrospective cohort study by Dixing Liu, Jiana Zhong, Wenting Xuan, Weikun Chen, Jiajing Yuan, Xiuwei Zhang, Lingjie He

“…Multivariate Cox regression and RCS analysis showed that METS-IR was significantly associated with both the progression to diabetes and the reversion to normoglycemia, exhibiting a non-linear relationship in both cases. Compared with the lowest METS-IR quartile, the adjusted hazard ratio (HR) (95% confidence interval [CI]) for diabetes progression and normoglycemic reversion in the highest METS-IR quartile was 2.11 (1.78, 2.50) and 0.57 (0.53, 0.62), respectively. …”
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Epidemiology and burden of pediatric burns in underdeveloped minority areas in Guangxi, China from 2014 to 2020: a retrospective study by Ziren Lin, Ziren Lin, Nahlah Abduljaleel Yahya Al-Saidi, Jiamei Lin, Yongfang Wu, Liuting Lan, Cheng Huang, Feiteng Liang, Zhiqun Huang

“…Demographic data, burn characteristics, clinical factors, and burden information were analyzed. Multiple linear regression was performed to identify the associated factors associated with the length of hospital stay (LOHS) and costs.Results660 pediatric burn cases were recorded from January 2014 to December2020. …”
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Association Between Professional Commitment and Reported Medication Errors in Nurses by Khadijeh Nasiri, Hannaneh Hamidi, Mohaddeseh Hajizadeh, Somayeh Gholinejad, Javad Ebadi, Maryam Mirzaee Jirdehi, Alireza Khateri, Esmaeil Najafi

“…The t-test, Pearson test, chi-squared test and multivariate linear regression were used to determine the associations between study variables.  …”
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Aging and liver health: liver chemistries and associated factors in community-dwelling older adults by Farah Safdar Husain, Siew Ling Tey, Dieu Thi Thu Huynh, Jeffery Oliver, Geraldine Baggs, Choon How How, Wai Leng Chow, Magdalin Cheong, Tar Choon Aw, Samuel Teong Huang Chew, Ngiap Chuan Tan

“…Analysis of variance and multiple linear regression models were used to evaluate the desired associations. …”
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Mechanical response and numerical simulation of liquid soil abutment backfill by Chongwei Huang, Chuan Zhao, Yu Sun, Shengfei Guan

“…The height of the box culvert has a greater impact on the stress, but this change is not linear. The actual construction in the case of meeting the specific requirements of use should try to control in the vicinity of 8.4 m, and at the same time the use of liquid soil backfill can reduce the compressive stress of about 14%. …”
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Growth, digestive enzyme and antioxidant enzyme activities of tawny puffer (Takifugu flavidus) larvae by Liu Yongshi, Shi Yonghai, Zhang Genyu, Xie Yongde, Xu Jiabo, Deng Pingping, Zhang Zongfeng

“…The relationship between total length or body mass and day-old could be fixed to the linear and exponential functions, respectively. The general correlation equation of total length and body mass was power function under artificial farming conditions, and the growth (in mass) in relation to total length was allometric. …”
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Machine Learning-Based Prediction of Feed Conversion Ratio: A Feasibility Study of Using Short-Term FCR Data for Long-Term Feed Conversion Ratio (FCR) Prediction by Xidi Yang, Liangyu Zhu, Wenyu Jiang, Yiting Yang, Mailin Gan, Linyuan Shen, Li Zhu

“…We employed nineteen machine learning algorithms, including Linear Regression, support vector machines (SVMs), and Gradient Boosting, using historical datasets to train and validate the models. …”
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