Insomnia and sleep duration for kidney function: Mendelian randomization study by Yang Zhang, Zhaozhong Zhong, Zuofu Tang, Ruojiao Wang, Jiaqing Wu, Ning Na, Jinhua Zhang

“…However, establishing a clear causal relationship between insomnia, sleep duration, and kidney function remains challenging. This study aims to estimate this relationship using Mendelian randomization (MR).Methods Independent genetic variants strongly associated with insomnia (N = 462,341) and sleep duration (N = 460,099) were selected as instrumental variables from corresponding genome-wide association studies (GWAS). …”
Get full text

Proficiency and associated factors of laboratory professionals in sputum smear microscopy at selected peripheral public and private diagnostic laboratories in Ethiopia: cross-secti... by Bewket Mesganaw, Mekuriaw Belayneh, Zigale Hibstu, Abebe Fenta

“…Data were entered and analyzed using the Statistical Package for Social Sciences software (SPSS version 20). P values less than 0.05 were considered statistically significant when looking for associations between dependent and independent variables. …”
Get full text

The role of education, human capital, and quality of life in regional development: Evidence from Kazakhstan by Raushan Unerbayeva, Svetlana Kozhirova, Gaukhar Kenzhegulova, Aigul Mukatay, Temirlan Abdykadyr

“…The Quality of Life Index (QLI) was calculated using normalized variables, followed by regional grouping and dynamic modeling. …”
Get full text

Comprehensive analysis of the mitochondrial genome of Iris domestica emphasizing multichromosomal organization and repeat-mediated homologous recombination by Lizhi Ouyang, Xinyu Li, Ruili Wang, Yixuan Chen, Shuo Wang, Jianfang Wang, Yelin Tian

“…BackgroundIris domestica is a perennial herb valued for both its ornamental and medicinal properties. …”
Get full text

General physical impairments in migraine patients beyond cervical function by Roy La Touche, Teresa García-Pastor, Álvaro Reina-Varona, Alba Paris-Alemany, Mónica Grande-Alonso

“…The secondary objective included the analysis of associations between CM-related disability and various physical and psychological variables. A total of 90 participants were included in this cross-sectional study: 30 asymptomatic participants (AG) and 60 patients with CM. …”
Get full text

HIS LEFT BUNDLE BRANCH BLOCK — PREVALENCE AND RISK FACTORS FOR ELECTRICAL AND MECHANICAL DYSSYNCHRONY by Z. I. Vozhdaeva, E. V. Sysuenkova, V. L. Glukhova, D. V. Duplyakov, S. M. Khokhlunov

“…Aim. To study the risk factors of electrical and mechanical dyssynchrony development in complete left bundle branch block (CLBBB)Material and methods. …”
Get full text

Caspase-9 and p53 Protein Levels in Cancer Patients after Different Anesthesia Techniques by A. O. Soloviev, V. T. Dolgikh, O. N. Novichkova, N. V. Govorova

“…The Mann-Whitney test was used to assess differences between groups in independent samples. P-values < 0.05 were considered statistically significant. …”
Get full text

Predicting determinants of unimproved water supply in Ethiopia using machine learning analysis of EDHS-2019 data by Jember Azanaw, Mihret Melese, Eshetu Abera Worede

“…This study aimed to provide more accurate predictions and data-driven insights that can inform policy-making, resource allocation, and interventions to address Ethiopia’s water crisis. …”
Get full text

Elucidating the role of mind–body connection profiles in emotional reactivity and regulation amongst typically developed adults by Kristen Van Bael, Jessica Scarfo, Emra Suleyman, Michelle Ball

“…The 13-item Body-Mind Connection Questionnaire (BMCQ) was developed to measure attention directed to sensations (Interoceptive Attention), identifying and describing sensations associated with emotions (Sensation-Emotion Articulation), and beliefs regarding mind–body integration and wellbeing (Body-Mind Values). This study aimed to (1) confirm and refine the BMCQ in a new sample of typically developed adults through confirmatory factor analysis (CFA), (2) identify distinct mind–body connection profiles through latent profile analysis (LPA), and (3) explore the impact of these profiles on emotional reactivity and regulation. …”
Get full text

Monitoring respiratory function with telemedicine devices in asthmatic children by Katalin Kapus, Katalin Kapus, Ferenc Rárosi, Zoltán Novák, Ferenc Peták, József Tolnai

“…Bland–Altman analyses confirmed good agreement between home and clinical assessments, with narrow limits of agreement for FVC, FEV1, and Tiff, whereas PEF and FEF25–75 showed greater variability. When expressed as percentage predicted values, similar trends were observed, with FVC% showing the strongest correlation.ConclusionThe difference in peak flow indices measured at home and lung function labs in asthmatic children highlights the importance of patient education, and the reliabilities indicate the need for frequent assessments. …”
Get full text

Interpretable prediction of stroke prognosis: SHAP for SVM and nomogram for logistic regression by Kun Guo, Kun Guo, Bo Zhu, Lei Zha, Yuan Shao, Zhiqin Liu, Naibing Gu, Kongbo Chen

“…Model performance was evaluated using the Area Under the Receiver Operating Characteristic curve (AUC), sensitivity, specificity, predictive values, and F1 score, with five-fold cross-validation to ensure robustness.ResultsThe training set, identified key variables associated with stroke prognosis, including hypertension, diabetes, and smoking history. …”
Get full text

Exploration and analysis of risk factors for coronary artery disease with type 2 diabetes based on SHAP explainable machine learning algorithm by Dandan Tang, Fengwei Liang, Xingli Gu, Yuanyuan Jin, Xuanjie Hu, Fen Liu, Yining Yang

“…A total of 25 predictive variables were ultimately identified through Lasso regression analysis. …”
Get full text

Confounding effects of blood hemoglobin and hematocrit levels on flap perfusion measurement with the Oxygen-to-see (O2C) analysis system in microvascular head and neck reconstructi... by Mark Ooms, Philipp Winnand, Marius Heitzer, Anna Bock, Marie Katz, Johannes Bickenbach, Frank Hölzle, Ali Modabber

“…However, in the context of predefined threshold values for perfusion parameters indicating vascular flap compromise, it is unclear whether blood hemoglobin and hematocrit levels are confounding variables. …”
Get full text

Morphology of male world cup and elite bouldering athletes by Pawel Draga, Paulina Trybek, Paulina Baran, Dominik Pandurevic, Alexander Sutor, Gudmund Grønhaug

“…Body proportions were more favorable in international athletes, who showed higher Ape (1.06 ± 0.02) and Arm Index values (46.22 ± 1.26) compared to national-level competitors (1.03 ± 0.03 and 44.98 ± 1.45, respectively). …”
Get full text

Impact of the number of dissected lymph nodes on machine learning-based prediction of postoperative lung cancer recurrence: a single-hospital retrospective cohort study by Kyoichi Okishio, Shinji Atagi, Kensuke Kojima, Hironobu Samejima, Toshiteru Tokunaga, Hyungeun Yoon

“…Five machine learning models were trained using clinicopathological variables to predict postoperative recurrence. The relationship between the number of dissected lymph nodes and postoperative recurrence was investigated in the best-performing model using Shapley additive explanations values and partial dependence plots. …”
Get full text

ANTECEDENTS OF SHOPPING CENTRE SELECTION AND RE-PATRONAGE BEHAVIOUR: A SMART PLS STRUCTURAL EQUATION MODELLING APPROACH by Roy Malon Shamhuyenhanzva

“…The study aimed to analyse factors influencing customer shopping centre selection and re-patronage behaviour and to evaluate the mediating power of customer experience and satisfaction towards their re-patronage intentions. …”
Get full text

Machine learning algorithms predict breast cancer incidence risk: a data-driven retrospective study based on biochemical biomarkers by Qianqian Guo, Peng Wu, Junhao He, Ge Zhang, Wu Zhou, Qianjun Chen

“…Logistic regression with forward selection and six other machine learning algorithms were employed to identify variables associated with breast cancer incidence. …”
Get full text

Nomogram for Predicting in-Hospital Severe Complications in Patients with Acute Myocardial Infarction Admitted in Emergency Department by Song Y, Yang K, Su Y, Song K, Ding N

“…The calibration curve demonstrates strong consistency between the anticipated and observed values of the nomogram in the modeling and validation cohorts. …”
Get full text

Performance of artificial intelligence on cervical vertebral maturation assessment: a systematic review and meta-analysis by Termeh Sarrafan Sadeghi, Seyed AmirHossein Ourang, Fatemeh Sohrabniya, Soroush Sadr, Parnian Shobeiri, Saeed Reza Motamedian

“…This systematic review and meta-analysis aimed to evaluate the overall performance of artificial intelligence (AI) models in assessing cervical vertebrae maturation (CVM) in radiographs, when compared to clinicians. …”
Get full text

CART-ANOVA-Based Transfer Learning Approach for Seven Distinct Tumor Classification Schemes with Generalization Capability by Shiraz Afzal, Muhammad Rauf, Shahzad Ashraf, Shahrin Bin Md Ayob, Zeeshan Ahmad Arfeen

“…Additionally, it implements seven distinct classification schemes for brain tumors, aimed at improving diagnostic accuracy and robustness. …”
Get full text