Precision measurement for effective pollution mitigation by evaluating air quality monitoring systems in linguistic Pythagorean fuzzy dombi environment by Hanan Alolaiyan, Umme Kalsoom, Umer Shuaib, Abdul Razaq, Abdul Wakil Baidar, Qin Xin

“…Furthermore, we develop a novel scoring function for multiple attribute decision-making (MADM) issues within the context of linguistic Pythagorean fuzzy knowledge. …”
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Digital political discourse in #nazarpemilu unique hashtag on X/Twitter in the 2024 Indonesian presidential election by Dudi Iskandar, Didik Hariyadi Raharjo, Ngimadudin Ngimadudin, Liliyana Liliyana, Tia Nurapriyanti

“…This research uses a qualitative approach with a critical discourse analysis method.Through analyzing #nazarpemilu documents, conducting in-depth interviews with account owners, utilizing library data, and exploring intertextuality, it was discovered that social media acted as a public platform for expressing political aspirations in the face of inactive state institutions. …”
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The Effect of Fatigue Induced by Exhaustive Exercises on Dynamic Balance and Balance Recovery Time in Active Men with Genu Varum and Normal Knee by seyedkazem mosavi, mohammad reza eslamipour, Seyed Sadraddin Shojaeddin

“…SPSS software and statistical tests of analysis of combined variance within-between groups, t test and paired t test were used to analyze data. …”
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Better before–better after: efficacy of prehabilitation for older patients with osteoarthritis awaiting total hip replacement—a study protocol for a randomised controlled trial in... by May Arna Risberg, Are Hugo Pripp, Astrid Bergland, Odd-Einar Svinøy, Gunvor Hilde

“…The primary objective of this study is to assess the effect of a tailored prehabilitation programme of older patients awaiting primary surgery for total hip replacement on physical function measured by walking speed within 1 week after intervention as well as 6 weeks and 3 months after TJA surgery.Methods and analysis This is a single-blinded randomised controlled trial. …”
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Advanced dynamic ensemble framework with explainability driven insights for precision brain tumor classification across datasets by Retinderdeep Singh, Sheifali Gupta, Ashraf Osman Ibrahim, Lubna A. Gabralla, Salil Bharany, Ateeq Ur Rehman, Seada Hussen

“…To address class imbalance and improve model generalization, a customized weighted cross-entropy loss function is incorporated. The model obtains improved interpretability through explainabile artificial intelligence (XAI) techniques, including Grad-CAM, SHAP, SmoothGrad, and LIME, providing deeper insights into prediction rationale. …”
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Can Power Laws Help Us Understand Gene and Proteome Information? by J. A. Tenreiro Machado, António C. Costa, Maria Dulce Quelhas

“…The paper starts by analyzing amino acid sequence data by means of histograms using fixed length amino acid words (tuples). …”
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Internal Initiative vs External Pressure: Evidence from Halal Standard Adoption in Indonesian Food Small and Medium Industries (SMIs) by Nilda Tri Putri, Meuthia Meuthia, Ikhsan Rapi Saputra, Rini Rahmahdian S, Iwan Vanany, Norhayati Zakuan

“…The study employed Structural Equation Modeling-Partial Least Square (SEM-PLS) as a data analysis technique. Results demonstrated that external pressure from government regulations and organizational commitment as part of internal initiatives significantly affected HFS adoption, whereas the latter had a stronger effect. …”
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Acousto-optic cryptosystem based on dynamic DNA encoding and hyperchaotic system in gyrator domains by Gege Sun, Wenbo Song, Miao Tian, Zhengjun Liu, Hang Chen

“…Finally, through comparative analysis, the Gyrator transform, demonstrating superior performance, is selected to further encrypt remote sensing image data, expanding the key space. …”
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Serum Immunoglobulin A (IgA) Level Is a Potential Biomarker Indicating Cirrhosis during Chronic Hepatitis B Infection by Sha Lin, QinQin Sun, WeiLin Mao, Yu Chen

“…Serum immunoglobulins (Igs) are frequently elevated in patients with chronic liver disease, but currently there is a lack of sufficient data on serum Igs in patients with chronic hepatitis B virus (CHB) infection. …”
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Two complementing in vivo selection systems based on CCA-trimming exonucleases as a tool to monitor, select and evaluate enzymatic features of tRNA nucleotidyltransferases by Karolin Wellner, Josefine Gnauck, Dorian Bernier, Stephan H. Bernhart, Heike Betat, Mario Mörl

“…tRNA nucleotidyltransferase represents a ubiquitous and essential activity that adds the indispensable CCA triplet to the 3’-end of tRNAs. To fulfill this function, the enzyme contains a set of highly conserved motifs whose coordinated interplay is crucial for the sequence-specific CCA polymerization. …”
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Incomplete Fusion Dynamics in Reactions Induced by Alpha Cluster and Non-Alpha Cluster Projectiles at Low Energies by Agarwal Avinash, Jashwal Anuj Kumar, Vardhan Harsh, Kumar Munish, Dutt S., Kumar Kamal, Rizvi I. A., Chaubey A. K.

“…The off-line γ-ray spectroscopy associated with high purity HPGe detector method was used for the investigations. The data analysis was performed using statistical model codes . …”
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HDPE Properties Evaluation via Instrumented Indentation: Experimental and Computer Simulation Approach by Anna Aleksandrovna Vinogradova, Kirill Valerievich Gogolinskiy, Kirill Igorevich Doronin, Ekaterina Konstantinovna Shchiptsova, Alena Vadimovna Melnikova

“…Simulation of the indentation process using the Norton model via FEM, as well as determining the parameters of the material deformation function while taking creep into account, makes it possible to describe the process of contact interaction and shows good agreement with experimental data.…”
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Prediction Model of Household Carbon Emission in Old Residential Areas in Drought and Cold Regions Based on Gene Expression Programming by Shiao Chen, Yaohui Gao, Zhaonian Dai, Wen Ren

“…., electricity usage and heating energy consumption) were selected using Pearson correlation analysis and the Random Forest (RF) algorithm. Subsequently, a hybrid prediction model was constructed, with its parameters optimized by minimizing the root mean square error (RMSE) as the fitness function. …”
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An Interpretable and Generalizable Machine Learning Model for Predicting Asthma Outcomes: Integrating AutoML and Explainable AI Techniques by Salman Mahmood, Raza Hasan, Saqib Hussain, Rochak Adhikari

“…Using a comprehensive dataset of demographic, clinical, and respiratory function data, we employed AutoGluon to automate model selection, optimization, and ensembling, resulting in a model with 98.99% accuracy and a 0.9996 ROC-AUC score. …”
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Forward Computational Modeling of Respiratory Airflow by Emmanuel A. Akor, Bing Han, Mingchao Cai, Ching-Long Lin, David W. Kaczka

“…Such computational techniques are also useful for analyzing structure–function relationships in healthy and diseased lungs, assessing regional ventilation at various time points over the course of clinical treatment, or elucidating the changes in airflow patterns over the life span. …”
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Comparison of the Effect of Coffee and Chewing Gum on the Return of Gastrointestinal Motility in Patients Undergoing Cesarean Section by Noushin Mobaraki, Firouz Amani, Elham Najafi, Jinous Gamisi

“…Subsequently, the time of feeling bowel movements and the duration of the passage of the first gas and excretion between the groups were recorded and compared. Data were analyzed in SPSS software (version 21) using descriptive statistics and one-way analysis of variance. …”
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Lived Experience of Patients Living with Glaucoma: A Qualitative Study by Anjani Kumar Singh, Krishna Kumar Thakur, Sumit Kumar Mishra, Binita Pandit, Rajiv Karn

“…Semi-structured interviews were carried out with selected participants until data saturation was achieved. The interviews were audiorecorded, transcribed verbatim, and analyzed using thematic analysis. …”
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Cold Hardiness and Physio-Biochemical Responses of Annual Branches in Five Early-Fruiting Walnut Varieties (<i>Juglans regia</i> L.) Under Simulated Low-Temperature Stress by Zitong Ni, Haifang Hu, Guiqing Xu

“…Logistic regression analysis of relative electrolyte conductivity (REC) data estimated the semi-lethal temperature (LT50), identifying ‘Wen 81’ as the most cold-tolerant cultivar (LT50 = −21.73 °C). …”
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Alveolar Tissue Fiber and Surfactant Effects on Lung Mechanics&#x2014;Model Development and Validation on ARDS and IPF Patients by Jiayao Yuan, Caitlyn M. Chiofolo, Benjamin J. Czerwin, Nikolaos Karamolegkos, Nicolas W. Chbat

“…The compliance of the alveoli is a function of their tissue fiber elasticity, fiber volume, and surface tension. …”
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Predicting cognitive frailty in community-dwelling older adults: a machine learning approach based on multidomain risk factors by Catherine Park, Namhee Kim, Chang Won Won, Miji Kim

“…Among the diverse CF-associated characteristics, the machine learning-based model identified six optimal features (key predictors): motor capacity, education level, physical function limitation, nutritional status, balance confidence, and activities of daily living. …”
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