A New Modified Blade Element Momentum Method for Calculating the Aerodynamic Performance of a Wind Turbine in Yaw by Jiaying Wu, Zhenye Sun, Weijun Zhu, Shifeng Fu, Chang Xu, Wenzhong Shen

“…Two approaches are introduced to determine the variable parameters in the new modified model: one based on traditional BEM predictions in non-yaw conditions and the other using empirical values determined using experimental data. …”
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The Impact of Corporate Governance on Intellectual Capital. Empirical Evidence from Romanian Companies by Monica Violeta ACHIM, Alexandra Ioana Daniela RUS, Isabella LUCUȚ CAPRAȘ

“…In this way, we investigated the relationship between corporate governance, measured as the compliance with the Bucharest Stock Exchange Code of Corporate Governance, and intellectual capital, measured by two different methods: Economic Value Added (EVA) and Value Added Intellectual Coefficient (VAIC). …”
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Neurovegetative Criteria for Evaluation of Cerebral Circulation Recovery of the Resuscitated Organism by A. Ya. Yevtushenko, A. V. Budayev, A. I. Etenko, A. S. Razumov

“…Objective: to assess the diagnostic informative value of some neurovegetative parameters as criteria for evaluating the adequacy of cerebral circulatory recovery at the early stage of resuscitation. …”
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CONSTRUCTION OF BLUE ECONOMY DEVELOPMENT INDEX AT THE PROVINCIAL LEVEL IN INDONESIA USING EXPLORATORY FACTOR ANALYSIS by Dewi Novita Sari, Siskarossa Ika Oktora

“…The limitation of this study is the data derived from the Village Potential Survey (Potensi Desa) data collection, so several variables are not yet available in annual time. The results of this study are important in improving the ability to monitor implementation and assist in decision-making in increasing blue economic development, especially at the provincial level.…”
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Early Clinical Predictors of Long-term Disability Progression in Patients with Multiple Sclerosis by Valentina Georgieva Ignatova, Lyudmila Pavlova Todorova, Lyubomir Haralanov Haralanov, Peter M. Vassilev

“…It has a sensitivity of 86%, specificity of 89%, positive predictive value of 85%, and negative predictive value of 81%. …”
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Physicochemical, Antioxidant, and Sensory Characteristics of Sponge Cake Fortified with Quinoa Flour, Oolong, and White Tea Powder by Anita Ardeshir, Fatemeh Fazeli, Nasim Khorshidian, Mehrdad Mohammadi

“…In conclusion, the utilization of OT, WT, and QF as phenolic compounds in sponge cake led to an increase in its nutritional value and improved shelf life.…”
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Enhanced EKF and SVSF for state of charge estimation of Li‐ion battery in electric vehicle using a fuzzy parameters model by Meriem Ben Lazreg, Sabeur Jemmali, Bilal Manai, Mahmoud Hamouda

“…The fuzzy inference system is designed to handle the non‐linear deviation of the battery parameters from their reference values. On this basis, the extended Kalman filter and smooth variable structure filter are used to estimate the SoC. …”
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Machine Learning-Based Mooring Failure Detection for FPSOs: A Two-Step ANN Approach by Omar Jebari, Do-Soo Kwon, Sung-Jae Kim, Chungkuk Jin, Moohyun Kim

“…Hyperparameter optimization was performed using Bayesian and random search methods, and multiple input variable sets were evaluated. The results indicate that the mean values of platform motions, particularly surge and yaw, play a crucial role in accurately identifying mooring failures. …”
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The Optimization of Culture Conditions for Injectable Recombinant Collagen Hydrogel Preparation Using Machine Learning by Mengyu Li, Long Zhao, Yanan Ren, Linfei Zuo, Ziyi Shen, Jiawei Wu

“…The study focused on four key factors as independent variables: initial substrate concentration, reaction temperature, pH level, and reaction time, while the dependent variable was the elastic modulus of the hydrogels. …”
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Oxidative phosphorylation in brown adipose tissue in a type II diabetes mellitus mouse model after forced treadmill running by A. N. Zakharova, K. G. Milovanova, A. A. Orlova, O. V. Kollantay, I. Yu. Shuvalov, L. V. Kapilevich

“…The latter is typical of a variable load mode – when the execution time of exercises periodically changes.Conclusion. …”
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Demographic and life history traits explain patterns in species vulnerability to extinction. by Haydée Hernández-Yáñez, Su Yeon Kim, Judy P Che-Castaldo

“…As ecosystems face disruption of community dynamics and habitat loss, the idea of determining ahead of time which species can become extinct is an important subject in conservation biology. …”
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Optimization of the Condition of Palm Frond Torrefaction Process by Utilizing Liquid Torrefaction Product as Pre-treatment for Improve Product Quality by Wenny Susanty, Zuchra Helwani, Bahruddin Bahruddin

“…This research methodology consist of drying, washing with liquid product of torrefaction, torrefaction, and analysis. The response variables  were mass yield, calorific value, energy yield, and proximate. …”
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SELECTING OPTIMAL PROCESS PARAMETERS OF Al2O3/C COMPOSITE USING GRA WITH PCA AND TAGUCHI’S QLF APPROACH by Idrus Syahzaqi, Hani Brilianti Rochmanto, Muhammad Ahsan

“…Based on ANOVA, the R-squared value is 99.97%, which means the tested factor variables can explain the density of the Al2O3/Cu composite by 99.70%. …”
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Development and validation of a clinical-friendly model for predicting 180-day mortality in the older with community-acquired pneumonia by Bingxuan Weng, Lixue Huang, Wenshu Jiao, Yuanqi Wang, Mengyuan Wang, Xuefeng Zhong, Xunliang Tong, Jin Jin, Yanming Li

“…The performance of model in predicting both short- and long-term mortality was compared with CURB-65 using AUC, sensitivity, specificity, negative predictive value and positive predictive value. Results A total of 619 patients, with a median age of 78 years (IQR: 70.5–85.0), were included in the analysis. …”
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Detection of Body Packs in Abdominal CT scans Through Artificial Intelligence; Developing a Machine Learning-based Model by Sayed Masoud Hosseini, Seyed Ali Mohtarami, Shahin Shadnia, Mitra Rahimi, Peyman Erfan Talab Evini, Babak Mostafazadeh, Azadeh Memarian, Elmira Heidarli

“…Our proposed Body Packs Detection (BPD) model achieved a mean average precision (mAP) value of 86.6% when the intersection over union (IoU) was 0.5, and a mAP value of 45.6% at different IoU thresholds (from 0.5 to 0.95 in steps of 0.05). …”
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Estimating oxygen needs for childhood pneumonia in developing country health systems: a new model for expecting the unexpected. by Beverly D Bradley, Stephen R C Howie, Timothy C Y Chan, Yu-Ling Cheng

“…Furthermore, approaches to estimating demand for supplies based on annual averages can underestimate demand some of the time by missing temporal variability.<h4>Methods</h4>A discrete event simulation model was developed to estimate variable demand for a health service commodity using the important example of medical oxygen for childhood pneumonia. …”
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ZWDX: a global zenith wet delay forecasting model using XGBoost by Laura Crocetti, Matthias Schartner, Marcus Franz Wareyka-Glaner, Konrad Schindler, Benedikt Soja

“…They are a major error source in GNSS positioning and, at the same time, also a variable of interest in GNSS meteorology. …”
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Shear-wave Velocity Structure of Greenland from Rayleigh-wave Analysis by V. Corchete

“…The dispersion curves were obtained for periods between 5 and 200 s, by digital filtering with a combination of MFT (Multiple Filter Technique) and TVF (Time Variable Filtering). Later, all seismic events (and some stations) were grouped to obtain a dispersion curve for each source-station path. …”
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Human capital in asset pricing: The case of the Brazilian stock market during crisis periods by Naveed Khan, Mustafa Afeef, Hassan Zada

“…Further, findings reveal that market size, value, profitability, investments, and labor income growth (proxy of human capital) premium significantly explain the time series variability in excess portfolio returns. …”
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Influence of Sociodemographic, Knowledge, and Behavior of DKI Jakarta People on Willingness To Pay for Disposable Mask during the Covid-19 Pandemic by Yona Qurratu'ain, Herdis Herdiansyah, Kosuke Mizuno

“…Based on the results, it is known that the dependent variables that can increase the WTP value are income (Δ+ 23.6%, p ≤ 0.05), type of healing treatment (Δ+ 100%, p ≤ 0.1), and knowledge (Δ+ 125.9%, p ≤ 0.01), where a value of Rp 28,578 is ideal for the cost of managing disposable mask waste. …”
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