Detection of disease on nasal breath sound by new lightweight architecture: Using COVID-19 as an example by Jiayuan She, Lin Shi, Peiqi Li, Ziling Dong, Renxing Li, Shengkai Li, Liping Gu, Zhao Tong, Zhuochang Yang, Yajie Ji, Liang Feng, Jiangang Chen

“…Objective This study aims to develop a novel, lightweight deep neural network for efficient, accurate, and cost-effective detection of COVID-19 using a nasal breathing audio data collected via smartphones. …”
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Performance assessment and optimization of Ti6Al4V helical hole milling process by Gururaj Bolar, Vikas Marakini, Raviraj Shetty, Sawan Shetty, Adithya Hegde

“…In the case of predictive models, BPANN performs better than the RSM technique in accurately predicting the data, with errors of 2.31%, 2.32%, 1.56%, and 1.24% for TF, RF, MT, and SR, respectively. …”
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Mural cell dysfunction contributes to diastolic heart failure by promoting endothelial dysfunction and vessel remodelling by Mandy O. J. Grootaert, Alessandra Pasut, Jana Raman, Steven J. Simmonds, Bram Callewaert, Ümare Col, Mieke Dewerchin, Peter Carmeliet, Stephane Heymans, Elizabeth A. V. Jones

“…Db/db + salt hearts were further characterised by increased ACTA2 expression, arteriole wall thickening and vessel enlargement. NicheNet analysis on the single cell transcriptomic data revealed little signalling from the ECs to the mural cells; instead, mural cells signalled strongly to ECs. …”
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The Relationship between Temperament and Character with Wisdom Through Cognitive Regulation Strategies of Emotion by Fahime Naseri, Yasser Azizisaeid

“…The tools used were questionnaires on Wisdom, Temperament and Character, and Emotion regulation. Data analysis was performed using the statistical method of path analysis, and the bootstrap test was used to examine the mediating role of variables. …”
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Revisiting Open Clusters within 200 pc in the Solar Neighborhood with Gaia DR3 by Penghui Liu, Min Fang, Yue-Lin Sming Tsai, Xiaoying Pang, Fan Wang, Xiaoting Fu

“…In this study, we develop a membership identification method and apply it for 30 open clusters (OCs) within 200 pc of the Sun using astrometric data of Gaia DR3. …”
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Factors associated with large watery stools after out-of-hospital cardiac arrest and their relationship with neurological outcomes: A retrospective observational study by Yasuyuki Kawai, Keita Miyazaki, Toru Osaki, Koji Yamamoto, Keisuke Tsuruta, Hideki Asai, Hidetada Fukushima

“…Methods: We retrospectively analysed data from 495 adult patients with out-of-hospital cardiac arrest admitted to our tertiary centre between April 2015 and March 2024. …”
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Strategies for Maintaining Balance in Patients with Parkinson’s Disease by A. E. Slotina, Ekaterina S. Ikonnikova, Georgii A. Kotsoev, Alena S. Egunova, Uliana V. Panina, Ekaterina Yu. Fedotova, Elena V. Gnedovskaya, Natalia A. Suponeva

“…The findings are valuable for developing digitalized balance analysis technologies incorporating artificial intelligence.…”
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GENDER DIFFERENCES OF ANTHROPOMETRIC CHARACTERISTICS, APPROPRIATE HEART RATE AND THE STRESS RESISTANCE INDEX OF EARLY ADOLESCENTS LIVING ON THE TERRITORY OF KRASNODAR KRAI AND THE... by N. S. BAKHAREVA, D. R. CHERKESOVA, L. K. ORBELYAN, I. M. SHCHEGLOVA, S. A. MESHLOK, E. F. SAVELYEVA

“…To find out gender features of anthropometric characteristics, to define average index value of stress resistance of young teenagers living on the territory of Krasnodar Krai and the Republic of Kabardino-Balkaria.Materials and methods. Data on body height, weight, arterial blood pressure and pulse of 140 children (70 girls and 70 boys) at the age of 13,2±1,6 years living in the Republic of Kabardino-Balkaria as well as 137 children (70 boys and 67 girls) at the age of 13,4±0,1 year living on the territory of Krasnodar Krai (The Belorechensk and Crimean Districts) are collected and subjected to the statistical analysis. …”
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Predicting Urosepsis in Ureteral Calculi: External Validation of Hu’s Nomogram and Identification of Novel Risk Factors by Yuka Sugizaki, Takanobu Utsumi, Naoki Ishitsuka, Takahide Noro, Yuta Suzuki, Shota Iijima, Takatoshi Somoto, Ryo Oka, Takumi Endo, Naoto Kamiya, Hiroyoshi Suzuki

“…The predictive accuracy of Hu’s nomogram was evaluated using receiver operating characteristic curve analysis. <b>Results</b>: Among 341 patients, 66 (19.4%) developed urosepsis. …”
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Integrating peritumor and tumor CT radiomics features in predicting local control after SBRT in patients with pulmonary oligometastases by Yao Lu, Yiqi Wang, Yuxi Ding, Danni Chen, Wenguang He, Weixiang Zhong, Jing Yang, Senxiang Yan, Ge Ren, Feng Zhao

“…Incorporating peritumoral features and SHAP analysis enhances prediction accuracy, offering insights to optimize SBRT strategies.…”
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Prevalence and risk factors of osteopenia in adults with short bowel syndrome: a retrospective longitudinal cohort study by Guangming Sun, Yufei Xia, Haoyang Wang, Yaqin Xiao, Li Zhang, Yupeng Zhang, Xuejin Gao, Xinying Wang, Xinying Wang

“…Logistic regression and a nomogram were used to analyze the data.ResultsA total of 120 patients with SBS were included in this study, and 76 patients (63.3%) developed osteopenia during the 10-year observation period, The multivariate analysis using the logistic regression model demonstrated that age (OR = 1.070; 95%CI: 1.016–1.126, p = 0.010), female (OR = 5.098; 95%CI: 1.211–21.456, p = 0.026), tumor history (OR = 4.481; 95%CI: 1.125–17.854, p = 0.033), duration of SBS (OR = 1.0862; 95%CI: 1.022–1.103, p = 0.002) and remnant ileum (OR = 4.260; 95%CI: 1.210–15.002, p = 0.024) were independent risk factors for osteopenia in adults with SBS. …”
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Interventions to improve perinatal outcomes among migrant women in high-income countries: a systematic review protocol by Marian Knight, Robert W Aldridge, Serena Luchenski, Fiona A Stevenson, Majel McGranahan, Gracia Fellmeth, Kerrie Stevenson, William G Henderson, Samuel Edwards, Hannah Rayment-Jones, K Ogunlana, Maria Marti-Castaner

“…Although HICs’ maternity care systems are often well developed, they are not routinely tailored to the needs of migrant women. …”
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Multi-parametric MRI-based radiomics nomogram for predicting lymphovascular space invasion in early-stage cervical adenocarcinoma by Ke-Ying Wang, Mei-Ling Xiao, Mei-Ling Xiao, Yu-Han Fang, Yu-Han Fang, Jie-Jun Cheng, Zi-Jing Lin, Ying Li, Jin-Wei Qiang

“…PurposeTo develop a magnetic resonance imaging (MRI)-based radiomics nomogram to predict lymphovascular space invasion (LVSI) status in patients with early-stage cervical adenocarcinoma (CAC).MethodsClinicopathological and MRI data from 310 patients with histopathologically confirmed early-stage CAC were retrospectively analyzed. …”
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Learning motif features and topological structure of molecules for metabolic pathway prediction by Jianguo Hu, Yiqing Zhang, Jinxin Xie, Zhen Yuan, Zhangxiang Yin, Shanshan Shi, Honglin Li, Shiliang Li

“…In addition, ablation study and motif analysis have demonstrated the effectiveness and usefulness of the model. …”
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Unveiling the molecular activity of HIV towards the CD4: A study based on subtype C via docking and dynamics approach by Saurav Kumar Mishra, Neeraj Kumar, Zsolt Tóth, Yousef A. Bin Jardan, Shopnil Akash, John J. Georrge

“…The binding affinities and stability data provide valuable insights into Subtype C’s molecular interactions with the host, and these findings underscore the potential for developing treatments that disrupt these interactions to combat HIV more effectively.…”
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Population-based colorectal cancer risk prediction using a SHAP-enhanced LightGBM model by Guinian Du, Hui Lv, Yishan Liang, Jingyue Zhang, Qiaoling Huang, Guiming Xie, Xian Wu, Hao Zeng, Lijuan Wu, Jianbo Ye, Wentan Xie, Xia Li, Yifan Sun

“…BackgroundColorectal cancer (CRC) is a highly frequent cancer worldwide, and early detection and risk stratification playing a critical role in reducing both incidence and mortality. we aimed to develop and validate a machine learning (ML) model using clinical data to improve CRC identification and prognostic evaluation.MethodsWe analyzed multicenter datasets comprising 676 CRC patients and 410 controls from Guigang City People’s Hospital (2020-2024) for model training/internal validation, with 463 patients from Laibin City People’s Hospital for external validation. …”
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Genetic Prediction of the Phosphate‐to‐Glucose Ratio Mediates the Association Between CXCL5 and Vascular Dementia by Guifeng Zhuo, Wei Chen, Yanan Hu, Jinzhi Zhang, Xiaomin Zhu, Mingyang Su, Yulan Fu, Wu Lin

“…Methods Using summary‐level data from genome‐wide association studies (GWAS), we conducted a two‐sample MR analysis to investigate the genetic prediction of CXCL5 and VaD. …”
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Relationship Between Landscape Character and Public Preferences in Urban Landscapes: A Case Study from the East–West Mountain Region in Wuhan, China by Xingyuan Li, Wenqing Pang, Lizhi Han, Yufan Yan, Xianjie Pan, Diechuan Yang

“…Subsequently, we employ emotion analysis based on Natural Language Processing (NLP) techniques to analyze user-generated content (UGC) from Weibo check-in data to establish perception characteristic indicators reflecting public preferences. …”
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Flavonoid compound from Forsythia suspensa leaves inhibits adenovirus infection related to cell cycle based on UHPLC-Q-Exactive-Orbitrap/MS and experimental validation by Lingling Wang, Shuanshan Ren, Xingming Ma, Yanliu Li, Yongyong Zheng, Ling Li, Luhong Cao

“…Flow cytometry and RT-qPCR examined cell cycle distribution and expression of cell-cycle regulators.ResultsThirty-nine active components were identified in FSL, predominantly organic acids, terpenoids, flavonoids, and lignans. An integrated analysis of GEO data revealed 990 adenovirus-associated DEGs, with network pharmacology and functional enrichment analyses further demonstrating FSL flavonoids’ preferential targeting of cell cycle regulators. …”
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Oral health improvement for nursing home residents through delegated remotivation and reinstruction (MundZaRR Study): study protocol of a cluster-randomised controlled trial by Falk Schwendicke, Peter Schlattmann, Gabriele Meyer, Katrin Hertrampf, Georg Gassmann, Jens Abraham, Volker Hammen

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