Enhancing prediction of human traits and behaviors through ensemble learning of traditional and novel resting-state fMRI connectivity analyses by Takaaki Yoshimoto, Kai Tokunaga, Junichi Chikazoe

“…Recent advances in cognitive neuroscience have focused on using resting-state functional connectivity (RSFC) data from fMRI scans to more accurately predict human traits and behaviors. …”
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A New Machine Learning Algorithm for Regional Low-Carbon Economic Development Analysis Based on Data Mining by Xinlei Liu

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Association between estimated glucose disposal rate and preserved ratio impaired spirometry in adults by Tong Lin, Shaofeng Jin, Xingkai Shen, Shanshan Huang, Haiyan Mao

“…Previous studies have linked PRISm to various adverse clinical outcomes, but its association with insulin resistance, as indicated by estimated glucose disposal rate (eGDR), remains underexplored.MethodsA total of 13,661 participants were included in this analysis after excluding individuals with missing data on PRISm (n = 10,954) and eGDR (n = 5,827). …”
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Comparing Upper Limb Performance Between Women and Men in CrossFit: Associations with FMS, Davis, and Dash Tests by Sabikeh Moghaddamnezhad, Abdolrasoul Daneshjoo

“…Measurements were taken for internal and external rotation range of motion, right and left Y balance tests, FMS scores, Davis test results, and the degree of shoulder and hand functional disability (DASH). The normality of the data was assessed using the Shapiro–Wilk test. …”
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Presenting a Model of Factors Influencing the Development of Contemporary Sculptural Furniture with a Transdisciplinary Approach by Sanaz Pournaderi, Ahad Shahhoseini, Sajjad Pakzad, Meysam Khodashenas, Mustafa Bulat

“…The present research is qualitative in terms of the type of applied research, descriptive-analytical nature (descriptive context oriented), and in terms of the type of data and data analysis. The method and tool of information collection is desk-based. …”
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Niche Overlap in Forest Tree Species Precludes a Positive Diversity–Productivity Relationship by Kliffi M. S. Blackstone, Gordon G. McNickle, Morgan V. Ritzi, Taylor M. Nelson, Brady S. Hardiman, Madeline S. Montague, Douglass F. Jacobs, John J. Couture

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Thriving in golden years: Promoting psychological well-being for healthy ageing in India by Dhananjay W Bansod, Raghunath Mandi

“…Methods: We created composite score of healthy ageing using Principal Component Analysis based on LASI (wave-1) data 2017–18 in accordance with the WHO framework of healthy ageing based on the functional ability of an individual. …”
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Relationship between family function and depression among caregivers of patients with acute pesticide poisoning: a cross-sectional study by Zixin Wen, Yanxia Zhang, Jie Shi, Yingying Zheng, Tianzi Jian, Xiangdong Jian, Baotian Kan

“…Pearson correlation and a structural equation model were used for data analysis. Results The average depression score of the caregivers was 5.66 ± 4.291, and the incidence of depression was 54.7%. …”
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Effect of Adding Kaffir Lime Leaf Powder (Citrus hystrix) and Citronella Leaf Powder (Cymbopogon nardus) in Salted Egg on pH, Antioxidant, Moisture Content, and Organoleptics by Ardiyanti Rahma Setiawati, Dedes Amertaningtyas, Ahmad Khoirul Umam

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Connectome-based disentangling of epilepsy networks from insular stereoelectroencephalographic leads by Kathrin Machetanz, Eliane Weinbrenner, Thomas Volkmar Wuttke, Silke Ethofer, Randolph Helfrich, Josua Kegele, Stephan Lauxmann, Michael Alber, Sabine Rona, Marcos Tatagiba, Holger Lerche, Jürgen Honegger, Georgios Naros

“…Normative connectomes on MRI data enable to link different symptoms and lesion locations to a common functional network. …”
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The relationship between lung function and headache risk in middle-aged and older adults: a cross-sectional and longitudinal study by Liuyun Huang, Mingjie Xie, Ling Li, Yuanyuan Qin, Qingjiang Cai, Biheng Feng, Debin Huang

“…Abstract Background The association between lung function and headache risk remains unclear. This study aims to explore the association between lung function and headache risk through cross-sectional and longitudinal analyses. …”
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Depression and Its Effect on Geriatric Rehabilitation Outcomes in Switzerland’s Aging Population by Bojan Miletic, Antonia Plisic, Lejla Jelovica, Jan Saner, Marcus Hesse, Silvije Segulja, Udo Courteney, Gordana Starcevic-Klasan

“…Data analysis was performed using TIBCO Statistica 13.3, with statistical significance set at <i>p</i> < 0.05. …”
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Efficacy and safety of prucalopride in patients with chronic idiopathic constipation stratified by age, body mass index, and renal function: a post hoc analysis of phase III and IV... by Anthony Lembo, Kyle Staller, Mena Boules, Paul Feuerstadt, William Spalding, André Gabriel, Ashraf Youssef, Yunlong Xie, Brian Terreri, Brooks D. Cash

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Associations among blood heavy metals, neurofilament light chains and cognition function in US adults: NHANES 2013–2014 by YuYan Zhou, YaKun Wang, ChunFang Qiu, YuXuan Man, XiaoNian Zhu, ShengKui Tan, HuaiCai Zeng, XueFeng Guo, ZhengBao Zhang

“…Conclusion: This study is the first to utilize sNfL data to establish a link between heavy metals exposure and cognitive function. …”
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The microbiologist's guide to metaproteomics by Tim Van Den Bossche, Jean Armengaud, Dirk Benndorf, Jose Alfredo Blakeley‐Ruiz, Madita Brauer, Kai Cheng, Marybeth Creskey, Daniel Figeys, Lucia Grenga, Timothy J. Griffin, Céline Henry, Robert L. Hettich, Tanja Holstein, Pratik D. Jagtap, Nico Jehmlich, Jonghyun Kim, Manuel Kleiner, Benoit J. Kunath, Xuxa Malliet, Lennart Martens, Subina Mehta, Bart Mesuere, Zhibin Ning, Alessandro Tanca, Sergio Uzzau, Pieter Verschaffelt, Jing Wang, Paul Wilmes, Xu Zhang, Xin Zhang, Leyuan Li, The Metaproteomics Initiative

“…Topics covered include experimental design, sample preparation, mass spectrometry techniques, data analysis strategies, and statistical approaches.…”
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Understanding trauma-impaired executive function and its impacts on homeless adults in the UK: a realist evaluative synthesis protocol by Monique Lhussier, Christina Cooper

“…At present, there is little evidence exploring the impacts of executive function (EF) deficits in adulthood as a result of childhood trauma from a lived experience perspective, with none specifically exploring the role these deficits might play in homelessness.Methods and analysis The proposed research takes a realist evaluative synthesis approach combining evidence from the extant literature with qualitative data from professionals involved in the delivery of services to support people with experience of homelessness (n=15–20) and people with experience of homelessness who have previously engaged with services (n=15–20).A combination of keywords (Adverse childhood experiences, executive function, social functioning and complex needs) and their synonyms will be used to search databases MEDLINE, PubMed, SCOPUS, Web of Science and CINAHL. …”
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Estimation and diagnostic for single-index partially functional linear regression model with $ p $-order autoregressive skew-normal errors by Lijie Zhou, Liucang Wu, Bin Yang

“…This work bridged significant gaps in functional data analysis by simultaneously addressing dimension reduction, temporal dependence, and distributional asymmetry, which are crucial challenges in modern energy analytics and biomedical studies.…”
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Administrative Fragmentation and Functional Integration: Quantifying Urban Interstice Dynamics in Jurong Using Mobile Origin–Destination (OD) Flows by Pengfei Fang, Ziqing Wang, Yuhao Huang, Yile Chen, Xiaojin Cao

“…Despite increasing scholarly interest, the empirical analysis of these cities’ spatial development and functional integration remains scarce, particularly within the contexts of state-led urbanization, where administrative boundaries significantly shape development outcomes. …”
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Typology of media use and its associations with parent and child factors among elementary school children: a latent profile analysis by Yangmi Lim

“…Overall, the members of the Games & entertainment-oriented/longest-use time profile exhibited the highest levels of problematic media use, executive function difficulties (planning–organizing, behavioral control, and attention–concentration difficulties), and externalizing and internalizing problems. …”
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Disentangling shared and unique brain functional changes associated with clinical severity and cognitive phenotypes in schizophrenia via deep learning by Jing Xia, Yi Hao Chan, Deepank Girish, Qian Hui Chew, Kang Sim, Jagath C. Rajapakse

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