Multifunctional prospects of physical vapor-deposited silver-based metal-dielectric nanocomposite thin films by Mohammad Nur-E-Alam, Boon Kar Yap, Mohammad Khairul Basher, Mohammad Aminul Islam, M. Khalid Hossain, Manzoore Elahi M. Soudagar, Narottam Das, Mikhail Vasiliev, Tiong Sieh Kiong

“…Physical vapor deposition has emerged as a significant technique for synthesizing silver (Ag)-based nanocomposites, enabling the modification of structural and optical properties of thin metallic films. …”
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Precise Modulation of Reorganization Energy through Methyl Substitution for High Performance Organic Solar Cells by Li Chen, Chaoyue Zhao, Joshua Yuk Lin Lai, Rongkun Zhou, Aleksandr Sergeev, Kam Sing Wong, Huawei Hu, Zilong Zheng, Han Yu, Sai Ho Pun, Guangye Zhang, He Yan

“…Quantum chemical calculations confirmed that methylation effectively reduces λ by limiting structural relaxation, leading to suppressed non‐radiative recombination energy loss (ΔEnr) and improved charge transport. …”
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Synergistic catalysis by AlB doped Pd/AC for selective conversion of pulegone to thymol: Mechanistic elucidation and process intensification by Prashant Kumar, Priyabrat Mohapatra, Chandan Singh Chanotiya, Laldingngheti Bawitlung, Anirban Pal, Suresh Kumar Bhargava, Selvakannan Periasamy, Ylias Sabri, Manoj Semwal, Prasant Kumar Rout

“…The catalyst achieved a high thymol yield of 98.5 % under moderate conditions (70 °C, 33 psi H₂, 62 min), and exhibited excellent stability along with maintaining over 95 % activity after five regeneration cycles. Structural analyses confirmed the catalyst's robustness with minimal Pd sintering observed after reuse. …”
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Three-Dimensional Curved Workflow-Based Optical Coherence Tomography Angiography for Enhancing Atopic Dermatitis Theranostics by Junwei Li, Yunrui Zhang, Ying Huang, Ronghui Li, Kun Wang, Dongbei Guo, Zicheng Huang, Youliang Yao, Yunxin Xue, Guibo Sun, Cheng Jiang, Leyun Wang, Chenzhong Li, Qingliang Zhao

“…Our study results demonstrate that skin structure imaging and the dynamic evolution of 3D microvasculature align with observed pathological changes. …”
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The Monthly Cycling of Food Insecurity in Latinas at Risk for Diabetes: Methods, Retention, and Sample Characteristics for a Microlongitudinal Design by Angela Bermúdez-Millán, Rafael Pérez-Escamilla, Sofia Segura-Pérez, James Grady, Richard S Feinn VI, Hanako Agresta, Dean Kim, Julie Ann Wagner

“…To assess the relationship between monthly cycling of FI with diabetes risk markers, we used repeated measures general linear mixed models. To assess the role of mediators, we performed a causal pathway analysis. …”
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Does the intervention approach matter for improving 24-hour physical behaviours among overweight and obese Brazilian office workers? by Luiz Augusto Brusaca, Nidhi Gupta, David M. Hallman, Andreas Holtermann, Dechristian França Barbieri, Ana Beatriz Oliveira

“…Intervention effects were analysed using linear mixed models, adjusted for baseline values, age, and sex, with a compositional data analysis approach. …”
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High-Resolution Mapping of Shallow Water Bathymetry Based on the Scale-Invariant Effect Using Sentinel-2 and GF-1 Satellite Remote Sensing Data by Jiada Guan, Huaguo Zhang, Tong Han, Wenting Cao, Juan Wang, Dongling Li

“…Additionally, this paper discusses the applicability of the scale-invariant assumption in this research and the improvements of the quadratic polynomial ratio model (QPRM) method compared to the classical linear ratio model (CLRM) method. The findings indicate that the integration of multi-source satellite remote sensing data based on the scale-invariant effect can effectively obtain high-precision, high-resolution bathymetric data, providing significant reference value for the application of GF-1 satellites in high-resolution bathymetry mapping.…”
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How Social-Relational Context Impacts the Mental Health of Adolescent and Young Adults Living with and Without HIV in Mozambique: A Social Network Analysis Study by Roberto Benoni, Anna Sartorello, Chiara Malesani, Hamilton Cardoso, Izilda Chaguruca, Moisés Domingos Sande Matope, Giovanni Putoto, Carlo Giaquinto, Michela Gatta

“…SNA parameters included were: average degree centrality, closeness centrality, betweenness centrality, eigenvector centrality and transitivity. Robust linear regression model was used to assess association between SNA parameters and SCL-90 scores. …”
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Application of Machine Learning Algorithms for Predicting the Dynamic Stiffness of Rail Pads Based on Static Stiffness and Operating Conditions by Isaac Rivas, Jose A. Sainz-Aja, Diego Ferreño, Víctor Calzada, Isidro Carrascal, Jose Casado, Soraya Diego

“…Determining the dynamic stiffness of rail pads poses a challenge because it depends not only on the material and geometry of the rail pad but also on the testing conditions, due to the non-linear material response. To address this issue, a methodology is proposed in this paper to estimate dynamic stiffness using static stiffness measurements. …”
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Hypothetical interventional effect of health behaviors for improving depression symptoms among patients diagnosed with cancer: a g-formula based study by Li Yang, Zhiping Yuan, Qing Pan

“…Associations between lifestyle and depressive symptoms were assessed using inverse probability-weighted linear models. The g-formula approach was used to explore the effects of hypothetical intervention strategies to alleviate depression. …”
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Artificial intelligence-based predictive modeling for imaging neutral particle analyzers on the DIII-D tokamak by Alvin Garcia, Sydney Liu, Xiaodi Du, Max Curie, Azarakhsh Jalalvand, Peter Steiner, Egemen Kolemen

“…The model achieves an R -squared value of 0.91, which is higher than the 0.83 value achieved by a simple linear regression model. This improvement highlights the model’s enhanced predictive accuracy for measured images from the validation set. …”
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Relationship Between Personality Traits and Health Anxiety Among Nurses by Mohsen Kamali, Seyed Kazem Mousavi, Fatemeh Akbari, Marzieh Khodabandeh, Marzieh Moharramkhani

“…The obtained data were analyzed using descriptive (frequency, percentage, Mean±SD) and inferential (the independent t-test, ANOVA, the Pearson correlation, and multiple linear regression) statistics. Results: The participants’ Mean±SD age was 34.83±8.26 years. …”
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Progress in the study of acoustic effects and precursor characteristics during spontaneous combustion of coal by Biao KONG, Jianhui ZHONG, Wei LU, Xiangming HU, Liyang GAO, Zedong ZHUANG, Xiaolei SUN, Linchao SHI

“…Three sizes of coal spontaneous combustion acoustic wave information testing systems were established to test the infrasound, acoustic emission and acoustic sound velocity information during coal heating and combustion. Using linear fitting, multiple fractal theory, Fourier transform and other methods, the paper analyse the temporal characteristics, temperature correlation, spatial characteristics, nonlinear characteristics and spectra of acoustic signals to reveal the precursor characteristics of acoustic signals in the process of spontaneous combustion of coal. …”
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A meta-analysis of the prognostic value of the TyG index in heart failure by Yuqin Cai, Meijie Yang, Shuting Ma, Jinyun Zhang, Bin Huang, Baili Yu

“…Dose-response analysis showed no linear dose-response relationship (DRR) of the index with ACD, MACEs or CV death.ConclusionThe TyG index is closely associated with the prognosis of HF. …”
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Evaluating the interrelationship of mindfulness, sexual relational concern, and health related behaviors on women’s life satisfaction through path analysis by Romina Fili, Maryam Shaban-Malekshah, Hossein-Ali Nikbakht, Fereshteh Behmanesh, Yasmina Niksima

“…Statistical analyses, including univariate and multivariate linear regression, as well as path analysis, were performed using SPSS version 23 and AMOS version 22. …”
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Obesity and risk of female reproductive conditions: A Mendelian randomisation study. by Samvida S Venkatesh, Teresa Ferreira, Stefania Benonisdottir, Nilufer Rahmioglu, Christian M Becker, Ingrid Granne, Krina T Zondervan, Michael V Holmes, Cecilia M Lindgren, Laura B L Wittemans

“…<h4>Methods and findings</h4>Logistic regression, generalised additive models, and Mendelian randomisation (MR) (2-sample, non-linear, and multivariable) were applied to obesity and reproductive disease data on up to 257,193 women of European ancestry in UK Biobank and publicly available genome-wide association studies (GWASs). …”
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Long-term indomethacin stabilizes the short cervix by Karl Seif, Paola Abi Habib, Bilge Cetinkaya Demir, Sifa Turan, Colleen Driscoll, Christopher Harman, Ozhan Turan

“…A longitudinal analysis of CL as GA progressed was performed using a multivariable linear mixed-effects regression model. A subgroup analysis was performed on patients whose total serial CL surveillance period lasted at least 3 weeks, and GA at delivery was analyzed based on cervical stabilization in this initial 3-week period. …”
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A Life-Cycle Carbon Reduction Optimization Framework for Production Activity Systems: A Case Study on a University Campus by Xiangze Wang, Jingqi Deng, Tingting Hu, Dungang Gu, Rui Liu, Guanghui Li, Nan Zhang, Jiaqi Lu

“…To address this gap, this study proposes a comprehensive life-cycle carbon footprint optimization framework that integrates LCA with a mixed-integer linear programming (MILP) model. The framework, while applicable to various production contexts, is validated using a university campus as a case study. …”
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The Chain Mediation Role of Self-Efficacy, Health Literacy, and Physical Exercise in the Relationship Between Internet Use and Older Adults’ Health: Cross-Sectional Questionnaire S... by Weizhen Liao, Chengyu Ma, Xiqiao Liu, Ziwei Sun

“…Using a combination of multiple linear regression and bootstrap testing, we constructed a chain mediation model and a moderated chain mediation model to examine how internet use affects older adults’ health through self-efficacy, health literacy, and physical exercise. …”
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Multi-modal connectivity of the brain underlying visual hallucinations evoked by high-frequency intracranial stimulations by Felicia Mihai, Laurentiu Tofan, Andrei Barborica, Irina Oane, Ana-Maria Zagrean, Camelia Lentoiu, Cristina Ghita, Ioana Mindruta

“…We used three methods to characterize functional (FC) and effective connectivity (EC) underlying these clinical responses: non-linear regression analysis using h2 correlation coefficient (FC), magnitude of evoked responses (high-frequency activation – HFA) and phase-locking value (PLV) during stimulation (EC). …”
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