RELIABILITY ANALYSIS OF TELESCOPIC ARM OF PIELINE-CATCHING VEHICLE BASED ON SEMI-SUPERVISED DEEP NEURAL NETWORK by YUAN Guozhi, LIU Wei, YAN Zilong, ZHANG Ruilin, ZHAO Mingxuan, SANG Jianbing

“…Combining deep neural networks and Monte Carlo method, the reliability and failure probability were predicted. Results show that this method surpasses actual engineering precision requirements， provides a certain guiding significance.…”
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Mechanical properties of ceramic-polymer nanocomposites

“…The experimental results are compared with theoretical predictions.…”
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Overburden failure characteristics and fracture evolution rule under repeated mining with multiple key strata control by Sun Chaoshang, Shi Chaoyang, Zhu Zhiming, Lin Haixiao, Li Zhenhua, Du Feng, Cao Zhengzheng, Lu Pengtao, Liu Lin

“…Repeated mining intensifies cumulative damage in the overburden and superimposes mining-induced stress fields, leading to rapid fracture propagation. …”
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Simulation Method for the Distribution of Fractured Branches in Tight Reservoirs During CO₂ Fracturing Based on a Fractal Method by Chaoyang Hu, Keyu Ma, Lihua Shi, Yang Lv, Fengjiao Wang

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«SCHOOL OF COMPETENCIES» AS A TECHNOLOGY FOR THE DEVELOPMENT OF STUDENTS’ ADDITIONAL COMPETENCIES AT CLASSICAL UNIVERSITY by V. Y. Stromov, Р. V. Sysoyev, V. V. Zavyalov

“…The student government’s research and educational project “School of Competencies” is a modern and growing format in Russian universities for the development of students’ additional professional and general cultural competencies, which include competencies in the legal framework for the organization of their own business, business planning, marketing, advertising and communication with the public, stress resistance, registration of applications for grants, techniques for writing scientific texts, etc. …”
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A gap-free reference genome of Populus deltoides provides insights into karyotype evolution of Salicaceae by Changwei Bi, Ning Sun, Zhuangwei Hou, Xiaogang Dai, Huaitong Wu, Fuchuan Han, Zefu Wang, Tongming Yin

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Mindful Eating and Its Relationship with Obesity, Eating Habits, and Emotional Distress in Mexican College Students by Irina Lazarevich, María Esther Irigoyen-Camacho, Claudia Cecilia Radilla-Vázquez, Rey Gutiérrez-Tolentino, Maria Consuelo Velazquez-Alva, Marco Antonio Zepeda-Zepeda

“…In both versions of the questionnaire, depression, anxiety, and stress scores were significantly associated with lower levels of mindful eating. …”
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The transcription factor PbeNAC83 positively regulates the Valsa canker resistance in apple and pear by DOU Zhiqi, CAI Minrui, DU Chenglong, HU Huanhuan, ZUO Cunwu

“…The NAM-typical structural domains of PbeNAC83 were further identified using the online tools SMART. Predicting cis-acting elements using the online tool PlantCARE. …”
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Theoretical explanation and regulation method for the edge effect in the sintered joints of metal nanoparticles by Guannan Yang, Zebo Li, Zhihao Zhang, Junyi Lu, Yu Zhang, Guanghan Huang, Tianshuo Zhao, Chengqiang Cui

“…By modeling the metal particle slurry as a granular system that follows the Mohr-Coulomb criterion, an exponential stress distribution is predicted, with high pressure at the center and low pressure at the edges, which reasonably explains the origin of the edge effect. …”
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Self-reported prevalence and associated factors of work related voice disorders among school teachers in Sekota town, Wag Himra zone, North Ethiopia, 2021: a cross-sectional survey by Alemayehu Kibret Belete, Dawit Getachew Yenealem, Jember Azanaw

“…The prevalence of work-related voice disorder among school teachers in the past 12 months was 21% (95% CI, (17.8–24.5), while that in primary school teachers was 24.8%, secondary school teachers was 19.3%, teachers college was 15.7% and Technical and Vocational Education and Training (TVET) was 11.5%. Infrequent nasal allergy [AOR:2.74,95% CI, (1.53–4.89)], having nasal allergy sometimes [AOR:5.38,95%CI, (2.10-13.77)], teaching consecutive 5th and 6th class [AOR: 5.64,95%CI(1.62–19.67)], speak over a natural breath cycle[AOR:3.94,95%CI, (1.3–11.90)], rarely drunk alcohol [AOR:6.28,95% CI (2.53–15.6)], sometimes drunk alcohol [AOR;3.27,95% CI (1.32–8.1), taking medications [AOR;9.52,95% CI, (1.82–49.86), stress and anxiety [AOR:2.32,95% CI, (1.04–5.15)], noise from children playing outside [AOR:3.1,95% CI, (1.45–6.43)] were found to be significantly associated factors with work-related voice disorders. …”
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Wolfram syndrome 2 gene (CISD2) deficiency disrupts Ca2+-mediated insulin secretion in β-cells by Zhao-Qing Shen, Wen-Tai Chiu, Cheng-Heng Kao, Yu-Chen Chen, Li-Hsien Chen, Tsai-Wen Teng, Shao-Yu Hsiung, Tsai-Yu Tzeng, Chien-Yi Tung, Chi-Chang Juan, Ting-Fen Tsai

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Glucagon-Like Peptide-1 as Predictor of Body Mass Index and Dentate Gyrus Neurogenesis: Neuroplasticity and the Metabolic Milieu by Jeremy D. Coplan, Shariful Syed, Tarique D. Perera, Sasha L. Fulton, Mary Ann Banerji, Andrew J. Dwork, John G. Kral

“…Adolescent pGLP-1 directly predicted adult neurogenesis. Two divergent processes relevant to human diabesity emerge—high BMI, low pGLP-1, and low neurogenesis and low BMI, high pGLP-1, high neurogenesis, insulin resistance, and lipid elevations. …”
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A comprehensive investigation of hydraulic performance and internal flow characteristics of Francis turbine model at part load cavitating flow for various turbulence models by Mohammad Abu Shahzer, Duc-Anh Nguyen, Jin-Hyuk Kim

“…In high specific speed turbines, part-load (PL) operations and cavitating conditions introduce highly complex internal flow structures that are challenging to predict accurately while keeping computational costs reasonable. …”
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“I don’t think there’s necessarily a one size fits all” negotiating competing priorities in nurse shift scheduling: a qualitative study by Hannah Ruth Barker, Peter Griffiths, Chiara Dall’Ora

“…Abstract Background The nursing workforce globally faces significant challenges, including burnout, stress, and absenteeism, exacerbated by unsafe staffing levels and suboptimal working conditions. …”
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Benthic foraminiferal diversity in the Arabian Gulf: spatial patterns in a basin-wide assessment. by Abduljamiu Olalekan Amao, Khalid Al-Ramadan, Michael Kaminski, Fabrizio Frontalini

“…Using an ensemble of species distribution models, we modelled the spatial patterns of individual species and stack these predictions to estimate foraminiferal species richness across the basin. …”
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Polygonatum sibiricum polysaccharides enhance pancreatic β-cell function in diabetic zebrafish by mitigating mitochondrial oxidative damage via the AMPK-SIRT1 pathway by Fan Lin, Wenjing Yu, Wenjing Yu, Ping Li, Ping Li, Shuyao Tang, Yitong Ouyang, Liya Huang, Di Wu, Shaowu Cheng, Shaowu Cheng, Zhenyan Song, Zhenyan Song

“…Network pharmacology analysis was used to predict PSP targets, and molecular docking validated key protein interactions. …”
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Tube fit joining: A novel technique for busbar-to-prismatic cell interconnections in electric vehicles by Kasaei Mohammad Mehdi, Gomes Vasco B., Carbas Ricardo J. C., Marques Eduardo A. S., da Silva Lucas F. M.

“…A dedicated tool is employed to implement the process and validate the numerical predictions. The results confirm that joint formation occurs in three distinct stages—bending, compression, and flange formation— with joining force increasing continuously throughout the process. …”
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A Confocal Ellipsoidal Densification Model for Estimating Improvement Effects on Soil Under Dynamic Compaction by Hao Shan, Futian Zhao, Xin Liu, Ke Sheng, Fenqiang Xu

“…Finally, the applicability of the solution procedure for the proposed CEDM was verified. The predicted HCZ and WCZ were in close agreement with the simulated results, indicating that the proposed CEDM could be used for estimating the soil improvement range. …”
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Thermo-rheologically complex polymers: multiaxial constitutive modeling, numerical implementation and experimental validation by Paolo Iaccarino, Ernesto Di Maio, Andrei Constantinescu, Ferdinando Auricchio

“…The calibration of the constitutive model is performed in the frequency domain, while the validation is performed in the time domain, demonstrating the accuracy and reliability of the model in multiple experimental domains. Finally, model predictions are reported in the frequency domain for different temperatures.…”
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A Comprehensive Benchmark Dataset for Sheet Metal Forming: Advancing Machine Learning and Surrogate Modelling in Pro-cess Simulations by Heinzelmann Pascal, Baum Sebastian, Riedmüller Kim Rouven, Liewald Mathias, Weyrich Michael

“…However, significant manual adjustments remain necessary due to deviations between simulation predictions and actual production outcomes, stemming from modelling simplifications. …”
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