Navigating the shadows: the impact of mindfulness, cognitive fusion, and coping strategies on psychological distress among mental health workers in Timor Leste by Gaspar Quintao, Noviyanti Carla Tilman Leite, Nicholas Tze Ping Pang, Eugene Boon Yau Koh, Jhia Mae Woo, Marina Abdul Rahman Sabri, Kah Mun Wan, Noor Melissa Noor Hadi, Ming Gui Tan, Assis Kamu, Chong Mun Ho

“…Depression, anxiety, and stress were measured using the Depression Anxiety Stress Scales (DASS-21). …”
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Nitrogen limitation causes a seismic shift in redox state and phosphorylation of proteins implicated in carbon flux and lipidome remodeling in Rhodotorula toruloides by Austin Gluth, Jeffrey J. Czajka, Xiaolu Li, Kent J. Bloodsworth, Josie G. Eder, Jennifer E. Kyle, Rosalie K. Chu, Bin Yang, Wei-Jun Qian, Pavlo Bohutskyi, Tong Zhang

“…Our systems-level approach sets the stage for acquiring multidimensional data sets for protein structural modeling and predicting the functional relevance of PTMs using Artificial Intelligence/Machine Learning (AI/ML). …”
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Biomechanical Behavior of Bioactive Material in Dental Implant: A Three-Dimensional Finite Element Analysis by Vathsala Patil, Nithesh Naik, Srikanth Gadicherla, Komal Smriti, Adithya Raju, Udit Rathee

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Evaluation of Liquefaction Hazard in the West Coastal Area of Bengkulu City Due to Megathrust Earthquake by Fitria Leonni Valetta, Lindung Zalbuin Mase, Khairul Amri, Rena Misliniyati, Hardiansyah Hardiansyah

“…Spectral matching and ground motion prediction based on relative attenuation models were conducted to obtain a representative picture of ground motion at the study site. …”
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Operator product expansion in Carrollian CFT by Kevin Nguyen, Jakob Salzer

“…In an effort to build a framework that is both predictive and constraining, we construct operator product expansions (OPE) that are compatible with carrollian symmetries. …”
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Evaluating the Impact of Digital Tool Utilization in Dentistry on Burnout Syndrome Among Dentists: An Entropy Analysis and AI-Driven Approach by Hossam Dawa, José Neves, Henrique Vicente

“…While traditional methods for assessing dentistry burnout syndrome often overlook the complex dynamics of stress factors, this study specifically aims to predict burnout syndrome utilizing entropy and artificial intelligence to verify whether digital tools can alleviate burnout levels among dental professionals. …”
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The Effects of Post-Processing and Geometric Parameters on the Compressive Strength of Additively Manufactured Resin Lattice Structures by Chance Hattrick

“…These findings offer a holistic view of how post-processing and design choices impact mechanical behaviour, and they provide predictive models to help researchers optimize lattice structures for specific performance goals in additive manufacturing applications. …”
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Crystal plasticity finite element method application in micro/meso-scaled deep drawing and some related concerns by Tong Xu, Fu M. W.

“…However, the computational cost, the requirement for improved material models to handle deep drawing, and the variety of modelling features for different materials and processes are some serious concerns, which are elucidated in this talk, and the importance of CPFEM in predicting and analysing the precision and efficiency of micro/meso-scaled deep drawing is highlighted.…”
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Influence of Tunnel Effect on Service-life of Locomotive Rectifier Module by LIU Dong, PENG Junhua, DOU Jinlong, ZHU Bin

“…The calculation result is closed to the actual condition, which can be used as references for thermal fatigue life prediction, rectifier module design and maintenance of power electronic device.…”
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External Aerodynamics Simulations in a Rotating Frame of Reference by Filomena Cariglino, Nicola Ceresola, Renzo Arina

“…This paper presents the development of a tool integrated in the UNS3D code, proprietary of Alenia Aermacchi, for the simulation of external aerodynamic flow in a rotating reference frame, with the main objective of predicting propeller-aircraft integration effects. The equations in a rotating frame of reference have been formulated in terms of the absolute velocity components; in this way, the artificial dissipation needed for convergence is lessened, as the Coriolis source term is only introduced in the momentum equation. …”
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Study on the evolution law of acoustic emission time series characteristics of coal-rock assemblage under true triaxial conditions by Fuquan Gao, Chenyang Zhang, Chenyang Zhang, Lingchen Han, Yongxue Xia, Yongxue Xia, Quanwu Gao, Yiqun Zhou, Yiqun Zhou, Dingyi Li, Dingyi Li

“…IntroductionThis study aims to investigate the fractal characteristics of acoustic emission (AE) signals during coal-rock rupture and their predictive significance for impact dynamic hazards.MethodsTrue triaxial loading/unloading tests were conducted on five coal-rock composites with varying coal-thickness ratios using the TRW-3000 system, with AE signals analyzed to correlate stress evolution and temporal-spatial fractal features.ResultsKey findings reveal that: 1) AE parameters exhibit stress-dependent behavior, growing slowly initially, stabilizing during stress-holding, and surging exponentially before peak stress, with ∼90% of cumulative energy released pre-destabilization; 2) Ring counts follow an Λ-type trend against absolute energy, while coal-thickness proportion induces a mirror-image N-type pattern in AE parameters; 3) High-energy/high-ringcount AE events cluster spatiotemporally before failure, with clear time sequence precursors—short-duration ground sounds and consecutive rises in energy/frequency serve as critical early-warning indicators, whereas isolated signals lack hazard relevance.DiscussionThese fractal patterns and precursor thresholds enhance real-time monitoring and risk assessment frameworks, offering actionable strategies for mitigating coal-rock dynamic disasters in underground mining.…”
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Rheology as a versatile tool in concrete technology: a mini-review by Xintong Guo, Dengwu Jiao

“…The rheological characteristics of concrete offer insights into characterizing the flowability and finishability, predicting the placement and casting, as well as exerting significant influence on the mechanical properties and durability. …”
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Data Analysis for Emotion Classification Based on Bio-Information in Self-Driving Vehicles by Tae-Yeun Kim, Hoon Ko, Sung-Hwan Kim

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Based on Network Pharmacology Tools to Investigate the Molecular Mechanism of Cordyceps sinensis on the Treatment of Diabetic Nephropathy by Yan Li, Lei Wang, Bojun Xu, Liangbin Zhao, Li Li, Keyang Xu, Anqi Tang, Shasha Zhou, Lu Song, Xiao Zhang, Huakui Zhan

“…In this study, active ingredients and associated target proteins of Cordyceps sinensis were obtained via Traditional Chinese Medicine Systems Pharmacology Database (TCMSP) and Swiss Target Prediction platform, then reconfirmed by using PubChem databases. …”
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Identifying High-Risk Atrial Fibrillation in Diabetes: Evidence from Nomogram and Plasma Metabolomics Analysis by Qiushi Luo, Xiaozhu Ma, Shuai Mei, Qidamugai Wuyun, Li Zhou, Ziyang Cai, Yi Wen, Shitao Wang, Jiangtao Yan, Huaping Li, Jiahui Fan, Meiyan Dai

“…When combined with left atrial diameter and AF type, it also improved the prediction of AF recurrence after ablation. Metabolomic profiling revealed notable disturbances in energy metabolism, heightened inflammatory activity, and elevated stress responses in AF patients, indicating a distinct metabolic risk profile. …”
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Research Studies on the Thrust of Special-Shaped Full-Sectional Cutterheads of Quasirectangular Shield by Yaohong Zhu, Jiawei Wang, Bayang Zhang, Xuqing Zhang, Jue Zhu

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Validation and optimal cut-off score of the Multidimensional Paternal Perinatal Scale (MPPS) by Daisy Gemayel, Karl K. K. Wiener, Anthony J. Saliba

“…The concurrent validity of the MPPS was established through the examination of the MPPS’s predictive ability through group differentiation (i.e., depressed versus non-depressed fathers, anxious versus non-anxious fathers, and stressed versus non-stressed fathers). …”
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Ivabradine potential for correcting myocardial electrical instability predictors in coronary heart disease by I. P. Tatarchenko, N. B. Pozdnyakova, M. V. Вiryuchenko, O. I. Morozova, A. G. Mordovina, S. A. Sekerko

“…Dose-response reduction in heart rate was linked to improved diastolic myocardial function.Conclusion. …”
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Deciphering crop-specific rhizobacteriome assembly in cotton, sorghum, and soybean under hot semi-arid field conditions in Texas by Mostafa Abdelrahman, Sudisha Jogaiah, Mohamed Abdelmoteleb, Mohamed Fokar, Henry T. Nguyen, Lam-Son Phan Tran

“…Results We found that the abundances and structures of rhizospheric bacterial communities differed among sorghum, soybean, and cotton, with the differences being closely linked to their predicted functional roles in stress adaptation and nutrient assimilation. …”
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