MetaboLabPy—An Open-Source Software Package for Metabolomics NMR Data Processing and Metabolic Tracer Data Analysis by Christian Ludwig

“…<b>Materials and Methods:</b> The software is implemented in Python and uses numerous Python toolboxes, such as numpy, scipy, pandas, etc. …”
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Total cardiolipin levels in gastric and colon cancer: evaluating the prognostic potential by Pavels Dimitrijevs, Ilona Freiliba, Andrejs Pčolkins, Marcis Leja, Pavel Arsenyan

“…Abstract Background Cardiolipin (CL) is a signature phospholipid of mitochondria that maintains the integrity of mitochondrial membrane and supports proper mitochondrial function. …”
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Suitability Assessment of Remotely Sensed Urban Air Quality Data by Zixin Zhang, Bin Zou, Shenxin Li

“…These findings provide valuable insights for improving PM_2.5 concentration remote sensing monitoring methods and designing the integrated “air–space–ground” observational network scheme.…”
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How digital health literacy shapes health: Mediating role of physical activity and heterogeneity in China. by Wei Cheng, Miao Miao, Luying Jiao, Xin Liu

“…Heterogeneity analyses stratified by gender, household registration status, and other demographic factors further elucidated variations in DHL's impacts on physical and mental health.…”
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Factors associated with the presence and intensity of ongoing symptoms in Long COVID. by Niels Brinkman, Teun Teunis, Seung Choi, David Ring, W Michael Brode

“…This emphasizes the need for comprehensive, whole person treatment strategies that integrate evidence-based interventions to address the multifaceted nature of PASC.…”
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Characteristics of tongue images and tongue coating bacteria in patients with colorectal cancer by Wu Zheng, Wu Yinhang, Chu Jian, Jin Congjian, Qu Zhanbo, Jean-Marie Nianga, Louis Wang, Wang Zefeng, Huang Jiaqun, Yu Xiaojian, Yang Shujing, Duan Jinlong, Liu Jiang, Han Shuwen

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The Effectiveness of Telerehabilitation in Managing Pain, Strength, and Balance in Adult Patients With Knee Osteoarthritis: Systematic Review by Theodora Plavoukou, Michail Iosifidis, Georgios Papagiannis, Dimitrios Stasinopoulos, Georgios Georgoudis

“…A total of 2 independent reviewers assessed the risk of bias using validated tools. Due to variations in intervention programs and assessment methods, a narrative synthesis was performed instead of a meta-analysis. …”
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A cross-sectional study comparing machine learning and logistic regression techniques for predicting osteoporosis in a group at high risk of cardiovascular disease among old adults by Yuyi Peng, Chi Zhang, Bo Zhou

“…Methods We carried out a cross-sectional investigation of a high-risk group in cardiovascular patients. …”
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Negotiating cohabitation in a Nigerian abattoir: One Health perspectives of human-animal-ecosystem interactions examined in the light of the SARS-CoV-2 pandemic by Hellena Debelts, Valerie Allendorf, Olayinka Asala, Ebere Roseann Agusi, Ismaila Shittu, Oluyemi Ogunmolawa, Judith Bakam, Bitrus Inuwa, Jeremiah Ijomanta, Joshua Seyi Oyetunde, Chinonyerem Chinyere, Austine Elah, David Oludare Omoniwa, Klaas Dietze, Adeponle Adeoye, Chinwe Lucia Ochu, Anja Globig, Almudena Mari-Saez, Clement Meseko

“…This study investigates the dynamics of human-animal-environment interfaces within a Nigerian abattoir during the ongoing SARS-CoV-2 pandemic, focusing on zoonotic transmission pathways and multispecies interactions. Methods We employed a mixed-methods approach, combining ethnographic observations, semi-structured interviews, and biological sampling of livestock, dogs, and small mammals. …”
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Explainable Machine Learning for Mapping Rainfall-Induced Landslide Thresholds in Italy by Xiangyu Shao, Wenjun Yan, Chaoying Yan, Wen Zhao, Yixuan Wang, Xia Shi, Hongchang Dong, Tianjiang Li, Junpo Yu, Peng Zuo, Zeyu Zhou, Jiming Jin

“…This study offered a modeling approach for regional rainfall threshold assessment by integrating multi-variable modeling with explainable methods, contributing to the development of landslide early warning systems.…”
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Meta-analysis of muscle transcriptome data identifies key genes influencing intramuscular fat content in pigs by Yan Wang, Jiahao Wang, Yanhui Zhao, Xihui Sheng, Xiaolong Qi, Lei Zhou, Jianfeng Liu, Chuduan Wang, Jianliang Wu, Yongchun Cao, Kai Xing

“…Despite numerous transcriptomic studies on IMF, variations in sample sizes and data analysis methods have produced inconsistent gene expression patterns and results. …”
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Nanohydroxyapatite on Remineralization of Primary Enamel Lesions: A Systematic Review by Sowndarya Gunasekaran, P I Nainan, Soundarya Sakthivel, Arya A Varghese, Reshma E Rajan

“…Studies using 15% nHA reported superior remineralization outcomes compared to 10%, suggesting a dose-dependent effect. However, variations in study protocols and evaluation methods limited direct comparisons. …”
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Correlation of Intraoperative Neuromonitoring (IONM) Signal Changes with Clinical Outcomes in Patients with Compressive Cervical Myelopathy: A Prospective Study by Saumyajit Basu, Aditya Vardhan Guduru, Vikas Hanasoge, Piyush Joshi, Trinanjan Sarangi, Suraj Chakroborthy

“…Materials and Methods: The study included 58 patients with cervical compressive myelopathy who underwent decompression and fusion surgery under IONM guidance. …”
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Exploring Shared Bicycle Travel Patterns from a Multidimensional Spatiotemporal Interaction Perspective Based on Tensor Decomposition: A Case Study of Central Shenzhen Area by Zheng Jixiang, Tao Haiyang, Zhuo Li, Shi Yufei, Bao Han, Huang Runjie

“…Our research also contributes to the broader field of urban mobility studies by demonstrating the effectiveness of tensor decomposition in analyzing complex spatiotemporal data. Unlike traditional methods that may treat time and space independently, tensor decomposition allows for a more integrated approach, capturing the interactions between different dimensions of data. …”
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Improvement of a pendulum‐type apparatus for friction test of a contact lens to simulate the conditions of its actual usage by Ryusuke Nakaoka, Hiroko Iwashita, Yuichi Hori, Kiyoshi Mabuchi, Toru Matsunaga, Yuji Haishima, Eiichi Yamamoto

“…Traditional measurement methods often fail to replicate real‐life conditions, thereby highlighting the need for more effective apparatus. …”
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Classification of collagen remodeling in asthma using second-harmonic generation imaging, supervised machine learning and texture-based analysis by Natasha N. Kunchur, Joshua J. A. Poole, Jesse Levine, Tillie-Louise Hackett, Rebecca Thornhill, Rebecca Thornhill, Leila B. Mostaço-Guidolin

“…Traditional histological staining methods used to visualize the fibrotic response are poorly suited to capture the morphological traits of extracellular matrix (ECM) proteins in their native state, hindering our understanding of disease pathology. …”
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Disentangling the gut microbiota of Aldabra giant tortoises of different ages and environments by Douaa Zakaria, Camillo Sandri, Monica Modesto, Caterina Spiezio, Donatella Scarafile, Allen Cedras, Luigimaria Borruso, Paolo Manghi, Paolo Trevisi, Nicola Segata, Paola Mattarelli, Masanori Arita

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Investigating causal effects of income on health using two-sample Mendelian randomisation by Erik Igelström, Marcus R. Munafò, Ben M. Brumpton, Neil M. Davies, George Davey Smith, Pekka Martikainen, Desmond Campbell, Peter Craig, Jim Lewsey, S. Vittal Katikireddi

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Research on Mobile Agent Path Planning Based on Deep Reinforcement Learning by Shengwei Jin, Xizheng Zhang, Ying Hu, Ruoyuan Liu, Qing Wang, Haihua He, Junyu Liao, Lijing Zeng

“…Concurrently, conventional reinforcement learning methods struggle to converge rapidly, leading to an insufficient efficiency in planning to meet the demand for energy economy. …”
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Reliable, efficient, and scalable photonic inverse design empowered by physics-inspired deep learning by Shao Guocheng, Zhou Tiankuang, Yan Tao, Guo Yanchen, Zhao Yun, Huang Ruqi, Fang Lu

“…To date, neither numerical nor analytical methods can balance efficiency and accuracy of the design process. …”
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