Optimization of the operating parameters for the extractive synthesis of biolubricant from sesame seed oil via response surface methodology by Ocheje Ocholi, Matthew Menkiti, Manase Auta, Ifechukwu Ezemagu

“…Mole ratio and reaction time were found to be the most significant variables. …”
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Optimization of the methanolysis of lard oil in the production of biodiesel with response surface methodology by Chinyere B. Ezekannagha, Callistus N. Ude, Okechukwu D. Onukwuli

“…A total of 30 individual experiments were conducted and designed to study these process variables. A statistical model predicted that the highest conversion yield of lard biodiesel would be 96.2% at the following optimized reaction conditions: reaction temperature of 65 °C, catalyst amount of 1.25%, time of 40 min, methanol to oil molar ratio of 6:1 at 250 rpm. …”
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New Hip Adductor Isometric Strength Test on Force Platform Shows Good and Acceptable Intra-Test Reliability for Peak Force Measurement by Pablo Merino-Muñoz, Felipe Hermosilla-Palma, Nicolás Gómez-Álvarez, Jorge Pérez-Contreras, Bianca Miarka, Carlos Gomes de Oliveira, Ciro José Brito, Luciano Luporini Menegaldo, Kristof Kipp, Esteban Aedo-Muñoz

“…However, the remaining time-related variables, RFD and impulse, did not achieve acceptable levels of absolute reliability (CV > 10%) and displayed poor to moderate relative reliability. …”
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Enhancing Efficiency in Food and Beverage Supply Chains by Stefan Ugrinov, Dragan Ćoćkalo, Edit Terek Stojanović, Sanja Stanisavljev, Mihalj Bakator, Verica Gluvakov

“…Moreover, it stresses challenges such as time variability, perishability, and regulatory compliance, and the need for adapting to consumer trends. …”
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Supervisor support, career satisfaction, and career adaptability of healthcare sector employees by Mohammad Aqil Tahiry, Emre Burak Ekmekcioglu

“…Design/methodology/approach – Data were collected from 193 full-time employees working in private health-care institutions in Ankara, Turkey. …”
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Clinical Sports Medicine & Orthopedics by Mouton C, 2, Nührenbörger C, 2, Magosch A, Hoffmann A, Pape D, 2, 3, Seil R, 2, 3

“…Other findings such as the periodicity of ACL injuries in organized team ball sports, the high variability of knee morphology, references to understand the course/progression of ACL reconstructed patients and movement analyses are also of great value to reach high quality in patient care and continuous innovation in knee surgery.Key Words: Anterior Cruciate Ligament Injuries,  Clinical Pathway, Epidemiology, Knee Laxity, Outcomes, Meniscus…”
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Gold or Silver: An Alternative to Investing by Iván Vacio

“… Throughout history, gold has been a highly valued investment, especially in times of crisis. …”
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The Determinants of FDI Flows from the EU‐15 to the Visegrad Group Countries – A Panel Gravity Model Approach by Liwiusz Wojciechowski

“…In an empirical analysis of panel data Hausman‐Taylor estimator was used because of the time‐invariant variables presence. Findings: While investment decisions regarding the choice of country are determined by the size of the target market, the distance is still a negative factor in creation of FDI volume. …”
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Using magnetic resonance relaxometry to evaluate the safety and quality of induced pluripotent stem cell-derived spinal cord progenitor cells by Jerome Tan, Jiahui Chen, Daniel Roxby, Wai Hon Chooi, Tan Dai Nguyen, Shi Yan Ng, Jongyoon Han, Sing Yian Chew

“…These approaches are often expensive, laborious, time-consuming, destructive, and severely limits their use in large scale cell therapy manufacturing settings. …”
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Farm factors associated with increased free fatty acids in bulk tank milk by Hannah M. Woodhouse, Stephen J. LeBlanc, Trevor J. DeVries, Karen J. Hand, David F. Kelton

“…Using these values, a monthly FFA average was calculated for each farm and used as the outcome variable. …”
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Prediction and Analysis of USD /JPY Exchange Rate Based on BP Neural Network by Hu Xiuning, Liu Yehua, Ye Yitong

“…One of the most important variables in the global financial market is the exchange rate, which is the ratio of change between the currencies of two countries. …”
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COBB-DOUGLAS INDUSTRIAL FUNCTION AND MANAGING ECONOMIC AND TECHNOLOGICAL DEVELOPMENT by Vyacheslav N. Usim, Vladimir S. Filippov

“…The authors mention the use of costs and result related to different periods of time as a said mistake. Another methodological mistake, according to the authors is incorrect division of variables after finding a numerical value of power. …”
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Performance Evaluation of Long Short-Term Memory for Chili Price Prediction by Fata Nabil Fikri, Nurochman Nurochman

“…For red chili, the best RMSE value that can be produced is 1751.890 and 1888.741 for rawit chili.…”
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Optimal Design of Single-stage Double-arc Spiral Bevel Gear Nutation Reducer by Zheng Lin, Ligang Yao, Tongke Su, Zheng Sun

“…The results show that the contact area of single-stage nutation bevel gear is large because there are many teeth and concave-convex tooth surfaces in contact at the same time，the Mises stress distribution on the internal and external bevel gears is uniform，but the stress value at the top of the small end of the external bevel gear is larger. …”
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Analytical method for determining coordinates of the radiation source in a homogeneous medium by H. V. Velichko

“…The problem is reduced to finding the minimum of a nonlinear function of five variables. This function is the sum of the squares of the differences of the calculated and the actual time of the wave front passing through the sensor for each of the sensors. …”
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Remote ischemic preconditioning in patients undergoing coronary bypass grafting following acute coronary syndrome without ST elevation by Miličić Miroslav, Soldatović Ivan, Nežić Duško, Jović Miomir, Maravić-Stojković Vera, Vuković Petar, Milojević Predrag

“…Average troponin values in all time points revealed no significant differences between groups (p0h = 0.740, p1h = 0.212, p6h = 0.504, p12h = 0.597, p24h = 0.562, p48h = 0.465 and p72h = 0.715, respectively). …”
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Coupled intelligent prediction model for medium- to long-term runoff based on teleconnection factors selection and spatial-temporal analysis. by Jintao Li, Ping Ai, Chuansheng Xiong, Yanhong Song

“…For instance, the RF-MLPR model achieved a 3.7%-6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R2 value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …”
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A Combined‐Mode Machine Learning Model for Predicting Stroke Recurrence During Hospitalization in Patients with Acute Minor Ischemic Stroke by Wanxing Ye, Jin Gan, Meng Wang, Ziyang Liu, Hongqiu Gu, Xin Yang, Chunjuan Wang, Xia Meng, Yong Jiang, Hao Li, Liping Liu, Yongjun Wang, Zixiao Li

“…Optimization was performed for all models based on the most important variable, history of ischemic stroke. Compared with the traditional generalized linear model (GLM), the XGB, LGB, ADA models yielded area under the curve (AUC) values ranging from 0.788 to 0.803 after optimization. …”
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Mediating effects of occupational self-efficacy on the relationship of authentic leadership and job engagement by Popy Podder, Hillol Saha

“…This research will help academic professionals in public and private sector universities to know how AL style positively influences employees’ engagement. Originality/value – This is an original work with practical value.…”
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Comparative analysis of multi-zone peritumoral radiomics in breast cancer for predicting NAC response using ABVS-based deep learning models by Minfang Wang, Wanjun Chen, Ruiping Ren, Yuanwei Lin, Jiawen Tang, Meng Wu

“…Feature importance analysis identified textural heterogeneity and volumetric characteristics as the most influential variables, with the top features derived predominantly from the 6-mm peritumoral region.ConclusionThe 6-mm peritumoral zone demonstrated optimal predictive value for NAC response, with the AI-driven combined intratumoral-peritumoral model achieving superior performance. …”
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