Learning from the machine: is diabetes in adults predicted by lifestyle variables? A retrospective predictive modelling study of NHANES 2007–2018 by Efrain Riveros Perez, Bibiana Avella-Molano

“…This trade-off underscores the strength of SVM in identifying more true-positive cases, though at the cost of lower overall classification precision. …”
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Multi-group global tests for restricted mean survival time and restricted mean time lost: a variable transformation approach by Shuyu Chen, Mengyao Wang, Xingyou Zhou, Wenbin Zhang, Chengfeng Zhang, Zheng Chen

“…In competing risks settings, RMTL logit transformation is preferred when the event of interest occurs more frequently than competing events, whereas clog-log transformation performs better when competing events dominate. …”
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Glycemic variability in type 2 diabetic patients with metabolic dysfunction-associated steatotic liver disease: a case-control study by Yueqiu Wang, Jing Liu, Yaoqin Yang, Qiong Wang, Yiqiong Sun, Ruiting Shen, Mingchen Zhang

“…The CV showed a direct positive correlation with HbA1c (β = 0.367, p < 0.001) in patients with coexisting T2DM and MASLD.Conclusions Patients with T2DM and MASLD exhibit reduced GV and a lower incidence of hypoglycemia but more serious insulin resistance. Effective control of HbA1c is essential to mitigate GV in these patients.…”
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Associations between selected genetic variants and lipid profile variability in response to statins in Alzheimer’s disease: a prospective observational study by Fabricio Ferreira de Oliveira, Sandro Soares de Almeida, Elizabeth Suchi Chen, Paulo Henrique Ferreira Bertolucci, Marilia Cardoso Smith

“…OBJECTIVE: To investigate whether lipid profile variability in response to diverse statins could be affected by cholesterol metabolism-related genetic variants in Alzheimer’s disease.. …”
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Clinical application of flexible and variable transparent endport technology in minimally invasive neuroendoscopic keyhole surgery: a practical new technology by Long Zhou, Shitao Mao, Can Wang, Huikai Zhang, Zhiyang Li, Minghui Lu, Wei Xia, Ping Song, Hui Ye, Jinjian Zhou, Zohaib Shafiq, Qianxue Chen, Fangjun Cao, Qiang Cai

“…Although it has shortcomings in support, it provides good compensation for the flexibility of endport length and diameter, which is of great help for multi-instrument operation and bipolar electrocoagulation hemostasis, making surgical hemostasis more reliable. Meanwhile, the flexible and variable transparent endport system can be completely placed within the bone window, with significantly higher mobility than the hard endport system that cannot be completely placed below the bone window. …”
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Variability and Trends of PM_2.5 Across Different Climatic Zones in Saudi Arabia: A Spatiotemporal Analysis by Said Munir, Muhammad H. Siddiqui, Turki M. A. Habeebullah, Arjan O. Zamreeq, Norah E. Al-Zahrani, Alaa A. Khalil, M. Nazrul Islam, Abdalla A. Baligh, Muhammad Ismail, Saud Z. Al-Boqami

“…Non-linear modeling provided a more accurate representation of complex trends compared to simple linear models. …”
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Aroma profile of two commercial truffle species from Yunnan and Sichuan, China: inter- and intraspecific variability and shared key compounds by Bin Lu, Jesús Perez-Moreno, Fengming Zhang, Andrea C. Rinaldi, Fuqiang Yu

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A Nonrandomized Trial of the Effects of Passive Simulated Jogging on Short-Term Heart Rate Variability in Type 2 Diabetic Subjects by Jose A. Adams, Jose R. Lopez, Veronica Banderas, Marvin A. Sackner

“…Diabetes mellitus has reached global epidemic proportions, with type 2 diabetes (T2DM) comprising more than 90% of all subjects with diabetes. Cardiovascular autonomic neuropathy (CAN) frequently occurs in T2DM. …”
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A Classification Tree Model with Optical Coherence Tomography Angiography Variables to Screen Early-Stage Diabetic Retinopathy in Diabetic Patients by Hongyan Yao, Shanjun Wu, Zongyi Zhan, Zijing Li

“…The classification tree model with OCTA variables may be a simple tool for clinical practitioners to identify early-stage DR in T2DM patients. …”
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Cambios diurnos de variables físicas y químicas en la zona de ritral del río Medellín, Colombia by Urrego Adriana P., Ramírez R. John J.

“…Pluviosity was 24 times more variable than air temperature. Daily variation of air temperature was six to eight times greater than annual variation. …”
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Surface and subsurface characteristics of wire-electrical discharge machined Al-alloy and composite: a fundamental study on the role of machining variables by Gaurav Anand, Santanu Sardar, Satesh Sah, Ashim Guha, Ibrahim Albaijan, Debdulal Das

“…The wire-EDM process involves a large number of machining variables apart from parameters associated with the workpiece, dielectric, and electrode; therefore, research on wire-EDM is often performed on the basis of the design of experiments, which is somewhat limited the fundamental understanding of the role of various influencing variables. …”
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Assessing particulate matter (PM2.5) concentrations and variability across Maharashtra using satellite data and machine learning techniques by Ganesh Machhindra Kunjir, Suvarna Tikle, Sandipan Das, Masud Karim, Sujit Kumar Roy, Uday Chatterjee

“…The study emphasizes the importance of utilizing FAOD as a more refined metric for fine-mode aerosol concentration in PM2.5 modeling, compared to conventional AOD. …”
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The role of neotectonics and climate variability in the Pleistocene-to-Holocene hydrological evolution of the Fuente de Piedra playa lake (southern Iberian Peninsula) by A. Jiménez-Bonilla, L. Martegani, L. Martegani, M. Rodríguez-Rodríguez, F. Gázquez, F. Gázquez, M. Díaz-Azpíroz, S. Martos, K. Reicherter, I. Expósito

“…The electrical conductivity profiles of groundwater on the FdP's shore and in its surroundings reveal a more pronounced interface between brackish water and brine in the northern part of the basin compared to the southern part. …”
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Multilocus Variable-Number Tandem-Repeat Analysis as an Investigation Tool in <i>Cryptosporidium parvum</i> Outbreaks in Finland and Sweden in 2022 by Kristiina Suominen, Anni Vainio, Pirkko Hokkanen, Riikka Åberg, Sanna Isosomppi, Eeva Särelä, Wioleta Kitowska, Ana Cristina Gonzalez-Perez, Jukka Ollgren, Ioana Bujila, Karin Troell, Anette Hansen, Mats Lindblad, Ruska Rimhanen-Finne

“…In our investigation, MLVA differentiated <i>C. parvum</i> subtypes in more detail than <i>gp60</i> typing. MLVA suggested no connection between the Finnish and Swedish outbreaks. …”
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Effects of individualized resistance training prescription with heart rate variability on muscle strength, muscle size and functional performance in older women by Diego Bittencourt, Ramon Martins de Oliveira, Deivid Gomes da Silva, João Guilherme Almeida Bergamasco, Marcelo de Castro Cesar, Daniela Godoi Jacomassi, Júlio Benvenutti Bueno de Camargo, J. Derek Kingsley, Cleiton Augusto Libardi

“…IntroductionThis study aimed to investigate whether individualizing autonomic recovery periods between resistance training (RT) sessions (IND) using heart rate variability (HRV), measured by the root mean square of successive R-R interval differences (RMSSD), would lead to greater and more consistent improvements in muscle strength, muscle mass, and functional performance in older women compared to a fixed recovery protocol (FIX).MethodsTwenty-one older women (age 66.0 ± 5.0 years old) were randomized into two different protocols (IND: n = 11; FIX: n = 10) and completed 7 weeks of RT. …”
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An interpretable wheat yield estimation model using an attention mechanism-based deep learning framework with multiple remotely sensed variables by Mingqi Li, Pengxin Wang, Kevin Tansey, Yue Zhang, Fengwei Guo, Junming Liu, Hongmei Li

“…The attention weights indicated that the most significant variable influencing wheat yield was FPAR, followed by LAI and VTCI. …”
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Interobserver and intra-observer variability in bowel preparation scoring for colon capsule endoscopy: impact of AI-assisted assessment, interim analysis by Ian Io Lei, Daniel Gaya, Alexander Robertson, Benedicte Schelde-Olesen, Alice Mapiye, Anirudh Bhandare, Ursula Valentiner, Pablo Laiz, Santi Segui, Anastasios Koulaouzidis, Ramesh Arasaradnam

“…Following a 6-month washout period, the same readers reassessed the videos using AI-assisted analyses through CC-CLEAR score to evaluate improvements in interobserver variability and changes in intra-observer variability between manual and AI-assisted readings. …”
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Variability in mobility-based air pollution exposure assessment: Effects of GPS tracking duration and temporal resolution of air pollution maps by Lai Wei, Marco Helbich, Benjamin Flückiger, Youchen Shen, Jelle Vlaanderen, Ayoung Jeong, Nicole Probst-Hensch, Kees de Hoogh, Gerard Hoek, Roel Vermeulen

“…Mobility-based exposure assessment of air pollution has been proposed as a potentially more valid approach than home-based assessments. …”
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Effect of Dapagliflozin on Glycemic Variability in Patients with Type 2 Diabetes under Insulin Glargine Combined with Other Oral Hypoglycemic Drugs by Menghui Luo, Xiaocen Kong, Huiying Wang, Xiaofang Zhai, Tingting Cai, Bo Ding, Yun Hu, Ting Jing, Xiaofei Su, Huiqin Li, Jianhua Ma

“…To evaluate the effect of an inhibitor of sodium-glucose cotransporter 2 (SGLT-2 inhibitor, dapagliflozin) on glycemic variability in type 2 diabetes mellitus (T2D) under insulin glargine combined with oral hypoglycemic drugs, using a continuous glucose monitoring system (CGMS). …”
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Variability in grain, flour, functional properties and protein profiling in newly developed wheat genotypes grown in temperate climate of Western Himalayas by Taha Mukhtar, Abida Jabeen, Syed Zameer Hussain, Raashid Ahmad Siddiqi, Shabir H. Wani, Anju Mahendru-Singh, Tawheed Amin, Quraazah A. Amin, Mohmad Sayeed Bhat

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