Low-Frequency Variability of the Yellow Sea Cold Water Mass Identified from the China Coastal Waters and Adjacent Seas Reanalysis by Xuewei Li, Xidong Wang, Peter C. Chu, Dongliang Zhao

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Improvement of part service properties under surface plastic deformation treatment by dynamic methods by Alexandra Sergeyevna Shvedova

“…The flow analysis of the dynamic PMM has shown that despite a large number of the theoretical and experimental studies, the prediction of the residual stresses in the surface layer is quite a challenge. …”
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Compression Characteristics of Solid Wastes as Backfill Materials by Meng Li, Jixiong Zhang, Rui Gao

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Karst Water Pressure’s Varying Rule and Its Response to Overlying Strata Movement in Coal Mine by Jian Hao, Hua Bian, Anfa Chen, Jiahui Lin, Dongjing Xu

“…Due to the limitation of precision and cost of geophysical exploration technology, the volume and pressure of karst water are challenging to measure, especially during the mining process. Therefore, predicting karst pressure’s response to mining is critical for determining the mechanism of water inrush. …”
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Pharmacotherapeutic characteristics of the combination of phloroglucinol and simethicone in the context of the treatment of spastic conditions of the gastrointestinal tract (litera... by L.B. Bondarenko, N.O. Gorchakova, O.K. Biloshitska, O.Ya. Bespalova

“…Its mechanisms of action include inhibition of cyclooxygenases, neurotransmitter pathways, reduction of pro-inflammatory cytokine production, oxidative stress, and others. …”
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Higher emotional intelligence is related to lower test anxiety among students by Ahmadpanah M, Keshavarz M, Haghighi M, Jahangard L, Bajoghli H, Sadeghi Bahmani D, Holsboer-Trachsler E, Brand S

“…Intrapersonal and interpersonal skills and mood predicted low TA, while sex, stress management, and adaptability were excluded from the equation.Conclusion: The pattern of results suggests that efforts to improve intrapersonal and interpersonal skills, and mood might benefit students with high TA. …”
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On the thermal ecology of two coexisting lizard species (Reptilia, Lacertidae) in a hot and dry area of Bulgaria by Emiliya Vacheva, Nikola Stanchev, Georgi Krastev, Angel Dyugmedzhiev, Borislav Naumov

“…Thermal ecology plays a key role in shaping the behavior and distribution of reptiles, particularly under climate stress. Understanding how sympatric lizard species manage their thermal preferences is essential for predicting their responses to changing climate. …”
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SaGP: identifying plant saline-alkali tolerance genes based on machine learning techniques by Baixue Qiao, Baixue Qiao, Baixue Qiao, Wentao Gao, Xudong Zhang, Xudong Zhang, Min Du, Min Du, Shuda Wang, Shuda Wang, Xuanrui Liu, Xuanrui Liu, Shaozi Pang, Shaozi Pang, Chunxue Yang, Jiang Wang, Jiang Wang, Yuming Zhao, Linan Xie, Linan Xie

“…However, despite their potential, existing machine-learning tools to mine stress-resistant genes in plants are scarce. In this study, we developed the first known machine learning model, SaGP (Saline-alkali Genes Prediction), to identify plant saline-alkali tolerance genes based on sequencing data. …”
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Psychological problems in general population during covid-19 pandemic in Pakistan: role of cognitive emotion regulation by Maryam Riaz, Mueen Abid, Zaqia Bano

“…Objectives To explore psychological problems (Anxiety, Depression and Stress) in general population during Covid-19 pandemic. …”
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Reaction of pomegranate trees to sustained deficit irrigation in terms of morphophysiological and biochemical traits by Mohammadebrahim Nasrabadi, Asghar Ramezanian, Saeid Eshghi, Daniel Valero

“…These findings suggest that the accumulation of biochemical compounds such as proline, the increased activity of antioxidant enzymes, and the reduction of LA act as adaptive mechanisms to water stress in pomegranate trees. …”
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To share or hide under performance pressure: the role of supervisor support in shaping subordinate knowledge management behaviors by Jia Xu, Jia Xu, Jingrong Chen, Qisi Lan, Man Zhao

“…Both methods assessed the interaction between performance pressure and perceived supervisor support in predicting knowledge sharing and hiding behaviors.ResultsFindings revealed two distinct paths. …”
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Bayesian network analysis of individual-level factors associated with bullying among high school students by Yanmei Feng, Xinyu Luo, Xinrui Li, Yilin Liu, Yong Zeng

“…Within the directed network analysis, depression severity emerged as a key predictor of relational bullying victimization, while both relational and verbal bullying predicted subsequent physical bullying. In the regularized partial correlation network, core self-evaluation exerted the strongest influence, acting as an indirect mediator in predicting relational and physical bullying victimization by modulating individual depression levels in the directed network. …”
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Socioeconomic inequality in mental health disorders: A cross-sectional study from the Tehran University of Medical Sciences employees’ cohort study by Sheida Ghorbani, Fatemeh Ghavidel, Sedigheh Abdollahi, Pardis Zarepour, FatemehZahra Dehestani, Mohammad Saatchi, Hamidreza Pouragha, Vali Baigi

“…Additionally, the relative education-related inequality analysis indicated that, adjusted for age, sex, marital status, and wealth index, individuals with primary education or no formal education had 2.58, 2.99, and 2.14 times higher prevalence of depression, anxiety, and stress compared to those with a doctoral degree, respectively. …”
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On the Network Strength of Meta-Aramid Fiber Suspension and Its Relationship to Formation by Jiulong Sha, Jiawen Gao, Peiyao Wang, Qiannan Zhang, Xinyi Zhang, Shunxi Song, Peng Lu

“…This provides an effective method for predicting paper sheet uniformity.…”
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THERMAL SHOCK AND DYNAMIC THERMOELASTICITY by A. Yu. Strigunova, E. M. Kartashov

“…The effect of relaxation in thermal problems was described in the context of the investigation of thermal stress state of a massive body. It was shown that an increase in relaxation time, i.e. heating rates of the boundary surface of the body, causes a reduction of thermal stress maxima. …”
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Study on the Magnitude of Reservoir-Triggered Earthquake Based on Support Vector Machines by Hai Wei, Mingming Wang, Bingyue Song, Xin Wang, Danlei Chen

“…An effective approach is introduced to predict the magnitude of reservoir-triggered earthquake (RTE), based on support vector machines (SVM) and fuzzy support vector machines (FSVM) methods. …”
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A well-being promotion program increases self-compassion, active coping and emotion regulation among providers who work with children and families by Liliana J. Lengua, Rebecca Calhoun, Ignatius Balinbin, Robyn Long, Katie Malloy Spink, Marie Angeles

“…The program combines mindfulness and self-compassion practices with cognitive-behavioral tools that aim to promote improved stress management, emotion regulation and well-being, and was evaluated with early childhood (n = 87) and K-12 educators (n = 40), staff serving youth in out-of-school or after-school settings (n = 31), and medical providers (n = 35). …”
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Study on Control Technology for Working Faces Passing through Long-Span Abandoned Roadways by Zhenghe Liu, Hailong Ye, Lusheng Yang, Shaohua Wang, Junwen Zhang, Baisheng Zhang, Zhiqiang Li

“…This problem can be effectively solved when the uniaxial compressive strength of the backfill ≥2 MPa. (5) The engineering practice showed that the danger of leakage and roof fracture impact load was eliminated with the mining pressure reduction after reinforcement measures were taken in the abandoned roadway. …”
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Three-Dimensional Mesoscopic DEM Modeling and Compressive Behavior of Macroporous Recycled Concrete by Yupeng Xu, Fei Geng, Haoxiang Luan, Jun Chen, Hangli Yang, Peiwei Gao

“…Compared to conventional concrete, MRC exhibits larger strain and a steeper post-peak descending portion in stress–strain curves. At peak stress, stress is concentrated in the central region and the surrounding arc-shaped zones. …”
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Formulation of Anisotropic Strength Criterion for Geotechnical Materials by Liping Chen, Sui Wang, Bin Chen, Xiaokai Niu, Guogang Ying, Bo Wu

“…The new criterion can be used to predict the strength variation of granular materials and cohesive materials under three-dimensional stress and can present the strength anisotropy of the geomaterials. …”
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