The changes in health service utilisation in Malawi during the COVID-19 pandemic. by Bingling She, Tara D Mangal, Anna Y Adjabeng, Tim Colbourn, Joseph H Collins, Eva Janoušková, Ines Li Lin, Emmanuel Mnjowe, Sakshi Mohan, Margherita Molaro, Andrew N Phillips, Paul Revill, Robert Manning Smith, Pakwanja D Twea, Dominic Nkhoma, Gerald Manthalu, Timothy B Hallett

“…Two datasets were prepared: unadjusted and adjusted; for the latter, unreported monthly data entries for a facility were filled in through systematic rules based on reported mean values of that facility or facility type and considering both reporting rates and comparability with published data. Using statistical descriptive methods, we first described the patterns of service utilisation in pre-pandemic years (2015-2019). …”
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A Cross-Sectional Analysis of Oil Pulling on YouTube Shorts by Jun Yaung, Sun Ha Park, Shahed Al Khalifah

“…Future studies should explore viewer interpretation, behavioral influence, and cross-platform content patterns to better understand the impact of short-form health videos.…”
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Customer-related quality of perspective potato hybrids (Solanum tuberosum L.) by Н. С. Кожушко, М. М. Сахошко, С. І. Бердін, М. Г. Баштовий, Д. В. Смілик

“…Consumer qualities and patterns of their formation under the influence of the biochemical composition of tubers were studied. …”
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Pro-C-Type Natriuretic Peptide in Women With Angina Pectoris and No Obstructive Coronary Artery Disease by Peter D. Mark, MD, PhD, Jakob Schroder, MD, Andreas K. Jensen, MD, Timothy C.R. Prickett, PhD, Eva Prescott, MD, DMSc, Jens P. Goetze, MD, DMSc

“…Moreover, we performed exploratory partial least squares regression (PLS) analyses for correlation patterns of proCNP with 185 cardiovascular plasma markers. …”
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Prevalence and association between eating disorders, depression, and obesity among Palestinian adolescent refugees by Basma Damiri, Ahmad Hanani

“…The interviews included the Birleson Depression Self-Rating Scale and the Eating Attitudes Test-26 (EAT-26), a screening tool used to detect individuals at risk for disordered eating behaviors but who are not diagnosed with specific eating disorders. …”
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An explorative study on movement detection using wearable sensors in acute care hospital patients by Joris Kirchberger, Dominik Kunz, Guido Perrot, Sven Hirsch, Maren Leifke, Bianca Hölz, Lukas Geissmann, Miro Käch, Samuel Wehrli, Jens Eckstein

“…Abstract Insufficient physical activity during hospitalization correlates with decreased physical functionality, prolonged stays, and higher readmission rates among the elderly population. Wearable systems provide an approach for monitoring patients’ physical activity, data to set achievable goals and motivation for patients to stay active. …”
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Harnessing an Artificial Intelligence–Based Large Language Model With Personal Health Record Capability for Personalized Information Support in Postsurgery Myocardial Infarction: D... by Ting-ting Yang, Hong-xia Zheng, Sha Cao, Mei-ling Jing, Ju Hu, Yan Zuo, Qing-yong Chen, Jian-jun Zhang

“…Although postsurgical cardiac interventions have improved survival rates, effective management during recovery remains challenging. …”
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Identification of Immune-Related Risk Signatures for the Prognostic Prediction in Oral Squamous Cell Carcinoma by Chen Zou, Dahong Huang, Haigang Wei, Siyuan Wu, Jing Song, Zhe Tang, Xia Li, Yilong Ai

“…The two groups (high and low risk) stratified by the immune-related risk scores had significantly different OS and mortality rates. The gene expression patterns and prognostic values of these immune-related signatures were also verified in two independent validation cohorts. …”
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Gender and age features of clinical and psychopathological phenomenology of depressive disorders in modern times by О. O. Belov, N. H. Pshuk

“…It was found that men had higher rates of depression expressiveness on the M. Hamilton’s scale compared to women (21.3 ± 9.8 (19.0; 12.0–31.0) points versus 19.2 ± 9.9 (14.0; 11.0–29.0) points, P < 0.05, in particular, adynamic depression: 15.6 ± 7.0 (13.0; 9.0–22.0) points versus 13.9 ± 7.0 (11.0; 8.0–22.0) points, P < 0.05, and also on the A. …”
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LC-MS/MS-Based Determination and Optimization of Linoleic Acid Oxides in <i>Baijiu</i> and Their Variation with Storage Time by Cheng Fang, Xiaotong Zhuang, Zhanguo Li, Yongfang Zou, Jizhou Pu, Dong Wang, Yan Xu

“…Method validation revealed satisfactory recovery rates (87.25–119.44%) at three spiking levels (10/20/50 ppb) with precision below 6.96% RSD. …”
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Exploring the association between socio-economic and environmental factors and food consumption in Iran: insights from time series data by Pegah Rahbarinejad, Seyyed Reza Sobhani, Negar Sangsefidi, Kiyavash Irankhah, Maryam Mohamadinarab

“…Key variables included urbanization rates, gross domestic product (GDP), food production, inflation, and precipitation, with food consumption measured in daily Adult Male Equivalent (AME) units and categorized into six dietary groups (including; grains, vegetables, fruits, dairy, fats, and meats). …”
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Hantavirus in rodents in the United States: Temporal and spatial trends and report of new hosts by Francisca Astorga, Abdelghafar Alkishe, Paanwaris Paansri, Gabriel Mantilla, Luis E. Escobar

“…This study can be considered a baseline to assess hantavirus patterns across host taxa, geographies, and seasons in the United States.…”
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Predictive performance of risk prediction models for lung cancer incidence in Western and Asian countries: a systematic review and meta-analysis by Yah Ru Juang, Lina Ang, Wei Jie Seow

“…Abstract Numerous prediction models have been developed to identify high-risk individuals for lung cancer screening, with the aim of improving early detection and survival rates. However, no comprehensive review or meta-analysis has assessed the performance of these models across different sociocultural contexts. …”
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The association between tumor-stromal collagen features and the clinical outcomes of patients with breast cancer: a systematic review by Samane Heydari, Fatemeh Tajik, Sadegh Safaei, Fereshteh Kamani, Babak Karami, Shima Dorafshan, Zahra Madjd, Roya Ghods

“…Stage III tumors exhibiting elevated collagen uniformity showed higher metastasis rates (p = 0.004), and HER2⁺ tumors with high collagen content correlated with resistance to HER2-targeted therapies (p < 0.05). …”
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Diet healthiness and double burden of malnutrition among women aged 15–49 years: a global monitoring tool approach using national dietary data in Sri Lanka by Renuka Jayatissa, Ranbanda Jayawardana, Devisri Abeysinghe, Krishan Hirun De Silva

“…In Sri Lanka, malnutrition remains a public health issue, with rising rates of overweight and obesity coexisting with persistent underweight and micronutrient deficiencies. …”
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Association between long-term atherogenic index of plasma and carotid atherosclerosis: a prospective cohort study of a health examination population by Hui Li, Jie Chen, Jie Duan, Chongyu Hu, Chaochao Tan, Jianqiao Peng

“…Kaplan-Meier curves and two-sided log-rank tests were used to compare cumulative rates of CAS progression.Results A significant positive association was observed between the AIP and increased CIMT, as well as carotid plaques (CPs). …”
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Kinematic alignment in Japanese patients shows significant improvement 2 years after total knee replacement surgery by Takao Yamamoto, Shigenobu Fukushima, Shuji Toyono, Takahiro Miyaji, Taku Nakajima, Yoshihiro Wanezaki, Takashi Ito

“…Two years after surgery, the rates of independent indoor walking and stair climbing were 89.6% and 58.9%, respectively. …”
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Prediction of future runoff in the Lancang River Basin based on CMIP6 under climate change by Kaidong Lu, Tingting Cui, Yintang Wang, Yong Liu, Xieyao Ma

“…Under four scenarios, future runoff is projected to increase at rates of 3.4 mm/10a, 1.7 mm/10a, 1.8 mm/10a e, and 2.5 mm/10a, respectively. …”
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Diagnostic value of CD138 and GATA3 in benign prostatic hyperplasia and prostate cancer by Yang Hu, Luo Dan, Yang Shikun, Lian Junbo, Huo Shuangjie, Dong Liru

“…Conclusions GATA3 and CD138 demonstrate basal compartment enrichment patterns that complement conventional markers for PCa diagnosis (accuracy 96–100%). …”
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An interpretable XAI deep EEG model for schizophrenia diagnosis using feature selection and attention mechanisms by Ahmad Almadhor, Stephen Ojo, Thomas I. Nathaniel, Shtwai Alsubai, Abdullah Alharthi, Abdullah Al Hejaili, Gabriel Avelino Sampedro

“…The study proposes a novel automated technique for diagnosing Schizophrenia based on electroencephalogram (EEG) sensor data, aiming to enhance interpretability and prediction performance.MethodsThis research utilizes Deep Learning (DL) models, including the Deep Neural Network (DNN), Bi-Directional Long Short-Term Memory-Gated Recurrent Unit (BiLSTM- GRU), and BiLSTM with Attention, for the detection of Schizophrenia based on EEG data. …”
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