The Relationship between Mental Workload and Job Satisfaction of Faculty Members with their Educational Performance by Neda Mahdavi, Masoud Shafiee Motlagh2, Zahra Cheraghi, Hossein Jafari Mansoorian, Vajihe Ramazani Doroh, Leili tapak, Maryam Afshari, Amin Doosti-Irani

“…To determine the role of explanatory variables on the level of mental workload, multiple linear regression was used at a 95% confidence level. …”
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Establishment of QuEChERS-UPLC-MS/MS method to determine three kinds of ochratoxins in coffee by GAO Yunkai, CHEN Xiaomei, CHEN Chunqian, ZHOU Lingyu, DENG Yinglin, YIN Qingchun

“…<b>Results：</b> Three target substances had a good linear relationship in the range of 0.1~20.0 ng/mL, and the correlation coefficient was greater than 0.999 46. …”
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Toward Integrative Biomechanical Models of Osteochondral Tissues: A Multilayered Perspective by Bruna Silva, Marco Domingos, Sandra Amado, Juliana R. Dias, Paula Pascoal-Faria, Ana C. Maurício, Nuno Alves

“…Through critical comparison of existing mathematical models, the viscoelastic model is suggested as a pragmatic starting point for modeling articular cartilage zones, the tidemark, and the calcified cartilage layer, as it captures essential time-dependent behaviors such as creep and stress relaxation while ensuring computational efficiency for initial coupling studies. On the other hand, a linear elastic model was identified as an optimal starting point for both the subchondral bone plate and the subchondral trabecular bone, reflecting their dense and stiff nature, and providing a coherent framework for early-stage multilayer integration. …”
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Simulation Analysis and Experimental Verification of the Transport Characteristics of a High-Volume CubeSat Storage Device by Yong Zhao, Yuhao Zhang, Zeming Zhao, Chenyuan Li, Lili Zhang, Xiaoze Yang, Honghao Yue, Caiting He, Jianlei Zhu, Ye erken Halishi, Youle Wu, Guicheng Xing, Milamujiang Kezierbieke

“…To enhance the efficiency and extent of space resource development and utilization, this paper proposes a device designed for large-scale storage and transport of multi-species CubeSats, characterized by its high storage density and efficient transport capabilities. …”
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Evaluation of grafting compatibility and prediction modelling in Sapindus mukorossi by Lixian Wang, Yangmei Liao, Na Chen, Liming Jia, Zhong Chen

“…By analyzing the physiological characteristics of the scion leaves from these 15 grafting combinations, variance analysis, cluster analysis, and linear regression models were utilized to assess the accuracy of the grafting compatibility evaluation model. …”
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Optimalisasi Kinerja UMKM di Kota Tegal melalui E-Commerce dan Sistem Informasi Akuntansi by Ardina Wuri Hermayanti, Ilham Fajar Eko Saputro, Heru Sulistiawan

“…Data were analyzed using SPSS version 25 through multiple linear regression analysis. The results indicate that both e-commerce adoption and accounting information systems have a positive and significant impact on SME performance individually. …”
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Investigating the extent and causes of immigration tendency among medical graduates of Jundishapur university of medical sciences, Ahvaz by Mehdi Torabizadeh, Mohadeseh Hatef, Abdolhossein Shakurnia, Nasrin Khajeali

“…To analyze the data, t, ANOVA, Pearson correlation coefficient and linear regression tests were performed using SPSS version 22 software. …”
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Machine learning-based hydrograph modeling with LSTM: A case study in the Jatigede Reservoir Catchment, Indonesia by Neil Andika, Piter Wongso, Faizal Immaddudin Wira Rohmat, Siska Wulandari, Ammar Fadhil, Riswanto Rosi, Nabila Siti Burnama

“…Utilizing 12 years of historical data, an LSTM model was developed to capture the complex non-linear dynamics between rainfall and runoff. The model successfully reproduced overall hydrograph patterns, obtaining a Nash-Sutcliffe Efficiency (NSE) of 0.60 and a Root Mean Squared Error (RMSE) of 12.16, while limitations were observed in simulating extreme hydrological events, primarily due to a lack of historical extreme event data. …”
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Intelligent Approaches to Computer Testing of Perception and Production Skills of Russian EFL Speakers by Marina Kolesnichenko, Vitalii Kapitan

“…Results:  We designed a computer-based system employing deep learning neural networks and assessed its efficiency in Russian EFL learners. The study found a 14.5% overall improvement in participant performance, with results showing a clear linear increase supported by a high R² value. …”
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Effects of Inlet Tip Clearance on Internal Flow Characteristic and Aerodynamic Performance of Centrifugal Compressor by Y. Zhang, J. Chen, Y. Shu, Z. Wang, H. Yang, Y. Wei

“…Additionally, it is observed that pressure, velocity, and load in the blade tip region do not exhibit a linear relationship with ITC, resulting in a nonlinear change in aerodynamic performance concerning ITC. …”
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Intrinsic electro-optical and thermodynamic properties of 4,4′-Bis(N-carbazolyl)-1,1′-biphenyl (CBP) as a potential candidate for nonlinear optical applications: a DFT investigatio... by Pierre Ferdinand Bissi Nyandou, Ali Raza Ayub, Patrick Noudem, Côme Damien Désiré Mveme, David Fouejio, Serge Sylvain Zekeng

“…Abstract In this work, the electronic, transport, photophysical, thermodynamic, linear, and nonlinear optical properties of intrinsic 4,4′-Bis(N-carbazolyl)-1,1′-biphenyl (CBP) were investigated. …”
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How do the resting EEG preprocessing states affect the outcomes of postprocessing? by Shiang Hu, Jie Ruan, Pedro Antonio Valdes-Sosa, Zhao Lv

“…Here, the clean EEG (CE) with linear and quasi-stationary assumption was synthesized as ground truth based on the New-York head model and the multivariate autoregressive model. …”
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Content Validity and Psychometric Validation of an Adapted Version of the Subject Sleep Diary in Prurigo Nodularis by Sonja Ständer, Danielle N. Rodriguez, Carla Dias-Barbosa, Dina Filipenko, Jorge Puelles, Zarif K. Jabbar-Lopez, Christophe Piketty, Henning Wiegmann, Shawn G. Kwatra

“…Cross-sectional values or value changes of the SD-NRS were moderately to strongly correlated with SSD parameters, and equipercentile linking analyses revealed non-linear relationships between the measures. Conclusions The findings suggest that the SSD is a fit-for-purpose measure that can be used to assess sleep disturbance in moderate-to-severe PN. …”
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Coal-bed methane migration analysis and numerical model construction of fractured coal body based on multi-field coupling conditions by Zhaoshun Guo, Hui Zhang, Ruibin Yang, Jian Yang, Guangyong Cui, Yong Ma, Yankun Ma

“…Under a three-dimensional load, the Darcy velocity of the same position shows an approximate linear change with the pressure increase. Finally, based on the difference between the fissure Darcy velocity in uniaxial and three-dimensional conditions, the dominant extraction area of model CBM was determined. …”
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Half-thickness discretized format for simulating compressible delay interbed by Shangqi Han, Chuiyu Lu, Wen Lu, Qingyan Sun, Chu Wu

“…Based on the characteristic of linear distribution of geostress in the vertical direction of the compressible delay interbed, this paper proposes a half-thickness discretization format under the principle of geostress variation, which can significantly improve simulation efficiency and reduce memory requirements. …”
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Financial inclusion and stability in Ethiopia using bank-level data: A two-step system GMM estimation [version 2; peer review: 1 approved, 2 approved with reservations] by Andualem Mekonnen, Filmon Hando, Mohammed Arebo

“…Second: (i), it develops a multidimensional FI index; (ii), explores both linear and nonlinear relationships, and (iii) examines macroprudential regulation as a moderating factor. …”
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Comparison of spatial prediction models from Machine Learning of cholangiocarcinoma incidence in Thailand by Oraya Sahat, Supot Kamsa-ard, Apiradee Lim, Siriporn Kamsa-ard, Matias Garcia-Constantino, Idongesit Ekerete

“…The study employed Machine Learning models (Linear Regression, Random Forest, Neural Network, and Extreme Gradient Boosting (XGBoost)) to predict Age-Standardized Rates (ASR) of CCA based on spatial variables. …”
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Deep Learning-Enhanced Portable Chemiluminescence Biosensor: 3D-Printed, Smartphone-Integrated Platform for Glucose Detection by Chirag M. Singhal, Vani Kaushik, Abhijeet Awasthi, Jitendra B. Zalke, Sangeeta Palekar, Prakash Rewatkar, Sanjeet Kumar Srivastava, Madhusudan B. Kulkarni, Manish L. Bhaiyya

“…The CL sensor demonstrates a linear detection range of 10–1000 µM, with a low detection limit of 8.68 µM. …”
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The correlation between serum adiponectin and hypoxia-inducible factor-1 in patients with diabetic nephropathy by ZHANG Zhi-qin, WEI Mao-bi, WANG Bai-ying, CHEN Wei, WU Xiao-yan

“…Diagnostic criteria of diabetic nephropathy referred to Expert Consensus on Prevention and Treatment of Diabetic Nephropathy(2014 edition).The control group(CN) consisted of 23 patients with only oblique hernia or intestinal polyps without other symptoms.The diabetic nephropathy group was divided into macroalbuminuria subgroup(10 patients) and microalbuminuria subgroup(37 patients) according to the urinary protein excretion(UAER).The remaining 18 patients were non-albuminuria.The DKD group meeting the criteria of diabetic retinopathy with any stage of chronic kidney disease was included in the retinopathy group.However,since there was also a retinopathy subgroup in the proteinuria group,the cumulative number of retinopathy subgroup was 26 patients.The standard of the macroalbuminuria subgroup was urinary albumin>300 mg/24 h or(+++)or above,while the standard of the microalbuminuria subgroup was ualbumin <300 mg/24 h or(++)or below.The differences and correlations of serum adiponectin and HIF-1α between the two groups and their subgroups were analyzed to explore their clinical significance.Results Serum adiponectin and HIF-1α levels in the diabetic nephropathy group were higher than those in CN group,and serum adiponectin in the DKD group was 3808 ng/L(3625,4164) vs.CN group 2954 ng/L(2439,3809)(P<0.01);serum HIF-1α in the DKD group was 130.44 ng/L(119.50,143.08) vs.CN group 98.32 ng/L(88.04,117.71)(P<0.01).At the same time,linear regression analysis showed that serum ADPN level was positively correlated with hif-1α,with R correlation coefficient=0.961,slope=26.29,and P<0.01.Moreover,the detection efficiency of serum adiponectin and hif-1 to DKD was 0.747 and 0.776,respectively,and P<0.01.Conclusion Serum adiponectin level is increased and positively correlated with HIF-1α in diabetic nephropathy,and serum adiponectin and HIF-1α may have correlative mechanism worthy of exploration.Serum ADPN may be co-involved in the progression of diabetic nephropathy by relating to hypoxia in the body.…”
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Numerical Simulation of Coal Spontaneous Combustion around a Borehole Induced by Negative Pressure Gas Drainage by Youxin Zhao, Qingjie Qi, Xinlei Jia, Yingjie Liu, Jingwen Zhang

“…The results showed that the negative pressure of extraction provides the power required for gas seepage into the borehole, and the gas flow rate increases with increasing negative pressure of extraction, exhibiting a linear growth trend. The range of the coal suffocation zone around the sealing section decreases with the increase in the negative pressure. …”
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