Assessing the Determinant Factors Influencing Transport Mode Choice: A Case of Debre Berhan City by Seyte Kelela, Yonas Minalu Emagnu, Kalkidan Kefale Berta

“…The MNL model’s pseudo-R-squared value illustrates the apparent correlation between the independent and dependent variables. …”
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Application of Polylogarithms to the Approximate Solution of the Inhomogeneous Telegraph Equation for the Distortionless Line by P. G. Lasy, I. N. Meleshko

“…Solutions to both problems can be found by separating the variables in the form of a series of trigonometric functions of the line point with time-dependent coefficients. …”
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Relationship between the type of atrial fibrillation and thromboembolic events by Potpara Tatjana, Grujić Miodrag, Vujisić-Tešić Bosiljka, Ostojić Miodrag, Polovina Marija, Aranđelović Aleksandra, Mujović Nebojša

“…However, multivariate Cox proportional hazard regression analysis with independent variables clinical types of AF at baseline and in the time of TE event, clinical and echocardiographic characteristics and therapy for prevention of TE complications at baseline and at the time of TE event, did not reveal independent predictive value of clinical type of AF for the occurrence of TE events during a follow-up. …”
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Algorithm for Finding Feedback in a Problem with Constraints for One Class of Nonlinear Control Systems by Michail G. Dmitriev, Zainelkhriet N. Murzabekov, Gulbanu A. Mirzakhmedova

“…The article establishes the correctness of the application of the extension principle by introducing analogs of the Lagrange multipliers, depending on the state and time, and also derives a formula for the suboptimal value of the quality criterion. …”
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Formulation and in vitro Evaluation of Acemetacin Nanosuspension by Hussein Al-Gharani, Khalid Al-Kinani

“…Using Soluplus® as a stabilizer, the chosen formula F22 has desirability value 0.701, and its particle size and PDI values were 59.69 nm and 0.1847 respectively. …”
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Prevalence and risk factors of osteoarthritis in patients at a public hospital in Limpopo province by Tsundzuka Masangu, Boikhutso Tlou, Thembelihle Dlungwane

“…Participants with a family history of OA were 6.9 times more likely to have OA, those with knee pain were 22.8 times more likely and those with hip pain were 5.5 times more likely after adjusting for the other variables. …”
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Digital distractions during blended learning and its negative repercussions: an empirical analysis by Chetan Kumar, K.B. Rangappa, S. Suchitra, Huchhe Gowda

“…The PLS-SEM model was constructed to identify the effect of digital distractions on students' academic performance, outlook of life and health, keeping counseling and spiritual inclination as moderating variables. Findings – From our research, we inferred that the students' time spent on a digital platform was directly related with their time spent on blended learning and their tendency to get distracted. …”
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Morphological diversity within a core collection of subterranean clover (Trifolium subterraneum L.): Lessons in pasture adaptation from the wild. by Abdi I Abdi, Phillip G H Nichols, Parwinder Kaur, Bradley J Wintle, William Erskine

“…Among the agro-morphological traits, time to flowering, leaf size and petiole diameter in mid-winter, plant area in late winter, maximum stem length, content of the oestogenic isoflavone biochanin A and total isoflavone content, were correlated with seven or more environmental variables. …”
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Predicting long-term functional anti-VEGF treatment outcomes in neovascular AMD in a real-world setting. by Isabel B Pfister, Christin Schild, Justus G Garweg

“…Best-corrected visual acuity (BCVA), presence of retinal fluid (RF) and macular atrophy (MA) were registered along with central retinal thickness (CRT) and treatment density over time. The relationship between these variables was tested by regression analysis.…”
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Charging Station Management Strategy for Returns Maximization via Improved TD3 Deep Reinforcement Learning by Hengjie Li, Jianghao Zhu, Yun Zhou, Qi Feng, Donghan Feng

“…However, in the face of dynamic regulation scenarios with large data, multiple variables, and low time scales, the existing regulation strategies aiming at maximizing EVCS returns many times fail to meet the demand. …”
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The antecedents of online teaching anxiety among university lecturers in Thailand: a mixed-methods investigation by Mohammed Yassin Mohd Aba Shaar, Budi Waluyo, Nur Lailatur Rofiah, Phanit Singhasuwan, Kanyarat Tongumpa

“…Purpose – The study examined the antecedents of lecturers' online teaching anxiety and analyzed their relationships with variables such as gender, age, education, teaching experience and faculty. …”
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Predicting Freeway Traffic Crash Severity Using XGBoost-Bayesian Network Model with Consideration of Features Interaction by Yang Yang, Kun Wang, Zhenzhou Yuan, Dan Liu

“…Then, the Bayesian network-based freeway traffic crash severity prediction model was constructed via the selected variables and their values, and the learning and prediction accuracy of the model were verified. …”
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COFLEX: a novel set point optimiser and feedforward–feedback control scheme for large, flexible wind turbines by G. Lazzerini, J. Deleuran Grunnet, T. Gybel Hovgaard, F. Caponetti, V. Datta Madireddi, D. De Tavernier, S. P. Mulders

“…The established controller, tailored to track these optimised set points and operating points, was evaluated through time-marching mid-fidelity HAWC2 simulations across the entire operational range of the IEA 15 MW reference wind turbine (RWT). …”
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Blood parameters predicted from milk spectra are candidate indicator traits of hyperketonemia—A retrospective study in the Italian Holstein population by S. Magro, M. De Marchi, M. Cassandro, R. Finocchiaro, A. Fabris, M. Marusi, A. Costa

“…Conversely, the prevalence of hyperketonemia was 5 times higher in the offspring of the bottom 5 bulls (10.55% of cows with BHB above the threshold of 1.20 mmol/L). …”
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Improving pain, function and quality of life in end-stage knee osteoarthritis: a patient-preference cohort study on whole-body vibration and exercise as bridging therapies for tota... by Kendrew Yu-Hei Choi, Wai-Wang Chau, Linda Man-Kuen Li, Sammie Yuk-Lam Ng, Boie Po-Yee Lo, Michael Tim-Yun Ong, Patrick Shu-Hang Yung

“…Abstract Background End-stage knee osteoarthritis (OA) patients awaiting total knee replacement (TKR) often experience prolonged wait times and worsening symptoms. Whole-body vibration (WBV) has shown potential benefits in OA management. …”
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Competing risk nomogram for predicting cancer-specific survival in patients with primary bone diffuse large B-cell lymphoma: a SEER-based retrospective study by Rongbin Shen, Sichun Xiang, Jianyou Gu, Yu Zhang, Lili Qian, Jianping Shen, Qing Guo, Shana Chen, Chenyang Ma, Jingjing Xiang

“…A competing risk nomogram was developed incorporating these variables to predict CSS. In the training set, the areas under the curve (AUC) for 1-, 5-, and 10-year CSS were 0.879, 0.848, and 0.839, respectively, while in the testing set, the AUC values were 0.794, 0.781, and 0.790, respectively. …”
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How abusive leadership could harm employee job engagement in hotel businesses? The roles of perceived organizational politics and presenteeism by Wagih M.E. Salama, Hazem Ahmed Khairy, Hanan Eid Badwy, Said M.E. Afify, Wael Mohamed Mohmoud Alrefae, Shimaa Abo Elsoad Mohamed Soliman

“…Design/methodology/approach:  Study participants included 408 full-time employees working at five-star hotels in Egypt. …”
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Bio-refining of cottonseed meal from oil industry for the isolation of eco-friendly natural protein polymer by Babu Kayakada Murugesh, Tamrat Tesfaye, Fangong Kong

“…Central composite design expert was conducted and the effect of variables in the extraction of protein were studied, namely, extraction solvent concentration, temperature and time. …”
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Forecasting of Islamic Stock Index in Turkey with Deep Learning Using Index-Based Features by Dilşad Tülgen Çetin, Sedat Metlek

“…The Long Short Term Memory (LSTM) model, which can successfully model the complex relationship between input and output variables in a financial time series, attracts attention among deep learning methods. …”
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The Role of Land Use Intensity on Vegetation Recovery Gradients After Land Abandonment in the Semiarid SE Alentejo, Portugal by H. M. Cerqueira, M. J. Roxo, A. Calvo-Cases

“…Understanding how land use history shapes secondary succession is crucial for semiarid regions, where human pressures intersect with climatic variability. This study examines the Serra de Serpa e Mértola, in SE Alentejo, Portugal, an area marked by extensive land conversion and degradation over the 20th century. …”
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