SOCIO-ECONOMIC ASSESSMENT OF HUMAN RESOURCE MANAGEMENT EFFECTIVENESS UNDER UNCERTAINTY by Mykhailo Dreichuk, Yosyf Sytnyk

“…The study focuses on integrating socio-economic indicators into a structured evaluation model that reflects not only financial results but also social outcomes such as employee well-being, engagement, and adaptability. …”
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The Impact of Biometric Surveillance on Reducing Violent Crime: Strategies for Apprehending Criminals While Protecting the Innocent by Patricia Haley

“…While advancements in facial recognition and predictive policing models have shown varying degrees of accuracy in determining violence, their efficiency and ethical concerns regarding privacy, bias, and civil liberties remain critically important. …”
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Mammalian D-Cysteine controls insulin secretion in the pancreas by Robin Roychaudhuri, Timothy West, Soumyaroop Bhattacharya, Harry G. Saavedra, Hangnoh Lee, Lauren Albacarys, Moataz M. Gadalla, Mario Amzel, Peixin Yang, Solomon H. Snyder

“…Background: D-amino acids are being recognized as important molecules in mammals with function. This is a first identification of endogenous D-cysteine in mammalian pancreas. …”
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A survey of data-driven fault-diagnosis methods for large-scale industrial production processes by Qianxiang YU, Qing LI, Linlin LI, Yixuan WANG

“…Traditional fault-diagnosis methods based on mechanism have limited applications because precise modeling of the systems considered is required. Data-driven approaches avoid the dependence on precise modeling; thus, the research focus on fault diagnosis for industrial production processes has gradually shifted from mechanism-based to data-driven methods that integrate historical data, real-time data, and multisource information to enhance the accuracy and efficiency of the fault detection and identification approaches. …”
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Predicting cellular adaptation proteins dependent on eIF2α regulation under stress conditions: Physiological and pathophysiological implications in neuronal function by Víctor Herrera-Fernández, Hugo Fanlo-Ucar, Patrick Gohl, Melisa Ece Zeylan, Simge Senyuz, Ozlem Keskin, Attila Gursoy, Rubén Vicente, Baldo Oliva, Francisco J. Muñoz

“…A multiple logistic regression (MLR) model—using 5′UTR length, GC content, upstream open reading frames (uORFs), and the features of Atf4 as a reference—predicted scores for p-eIF2α-driven translation. …”
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DART-Vetter: A Deep Learning Tool for Automatic Triage of Exoplanet Candidates by Stefano Fiscale, Laura Inno, Alessandra Rotundi, Angelo Ciaramella, Alessio Ferone, Christian Magliano, Luca Cacciapuoti, Veselin Kostov, Elisa V. Quintana, Giovanni Covone, Maria Teresa Muscari Tomajoli, Vito Saggese, Luca Tonietti, Antonio Vanzanella, Vincenzo Della Corte

“…In the identification of new planetary candidates in transit surveys, the employment of deep learning models proved to be essential to efficiently analyze a continuously growing volume of photometric observations. …”
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A modular and adaptable approach for automated morphological feature extraction in meibography images by Itziar Fernández, Andrea Novo-Diez, María J. González-García

“…The proposed method leverages piecewise linear modeling to derive clinically interpretable metrics that capture key structural characteristics of MGs. …”
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Deep Learning Algorithm for Automatic Classification of Power Quality Disturbances by Fatema A. Albalooshi, M. R. Qader

“…This study introduces a new multi-scale deep learning method to classify PQDs, aiming to enhance the accuracy and efficiency of power quality (PQ) analysis and monitoring systems. …”
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Enhanced PID for pedal vehicle force control using hybrid spiral sine-cosine optimization and experimental validation by Azrul Azim Abdullah Hashim, Nor Maniha Abdul Ghani, Mohammad Osman Tokhi

“…Auto Regressive with Exogenous inputs (NARX) models were used as the system identification method for nonlinear dynamic system to accurately represent actuator and pedal force relationships. …”
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Genetics and Medicine of Critical Conditions: from Theory to Practice by V. V. Moroz, T. V. Smelaya, A. M. Golubev, L. E. Salnikova

“…The high death rates due to critical conditions (sepsis, multiple organ dysfunction, acute respiratory distress syndrome, nosocomial infections) initiate a search for prognostic models. The paper presents the results of the investigations made at the V.A. …”
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The WHEAT pilot trial—WithHolding Enteral feeds Around packed red cell Transfusion to prevent necrotising enterocolitis in preterm neonates: a multicentre, electronic patient recor... by Neena Modi, Jon Dorling, Chris Gale, Tjeerd Van Staa, Louise Linsell, Ursula Bowler, Ed Juszczak, Mark A Turner, Sena Jawad, Amanda Forster, Andy King, Jenny McLeish, Helen Robberts, Kayleigh Stanbury

“…The use of a simplified opt-out consent model and embedding trial processes within existing electronic patient record (EPR) systems provide opportunities to increase trial efficiency and recruitment.Methods and analysis We will undertake a randomised, controlled, multicentre, unblinded, pilot trial comparing two care pathways: continuing milk feeds (before, during and after red cell transfusions) and withholding milk feeds (for 4 hours before, during and for 4 hours after red cell transfusions), with infants randomly assigned with equal probability. …”
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Incorporation of Mean/Maximum Stress Effects in the Multiaxial Racetrack Filter by Marco Antonio Meggiolaro, Jaime Tupiassú Pinho de Castro, Hao Wu

“…Instead, mean/maximum stress effects are modeled in the filter as a function of the current (instantaneous) hydrostatic or normal stress along the multiaxial load path, respectively for invariantbased and critical-plane models. …”
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Differentiation of Organic Cocoa Beans and Conventional Ones by Using Handheld NIR Spectroscopy and Multivariate Classification Techniques by Elliot K. Anyidoho, Ernest Teye, Robert Agbemafle

“…Principal component analysis (PCA) and classification analysis, RF (random forest), KNN (K-nearest neighbours), LDA (linear discriminant analysis), and PLS-DA (partial least squares-discriminant analysis) were performed comparatively to build classification models. The performance of the models was evaluated by accuracy, specificity, sensitivity, and efficiency. …”
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dVP_FAM—development and evaluation of a transsectoral digital care platform for individuals with familial cancer risks: study protocol for a multi-centre, cluster-randomised, mixed... by K. Klein, F. Kendel, S. Schüürhuis, K. Neumann, C. Kowalski, P. Thomas, T. Reinhold, U. Felbor, S. Stegen, C. Schmid, N. Mehrhof, S. Asmussen, F. Diel, M.A. Feufel, D. Speiser

“…If successful, dVP_FAM could serve as a scalable model for digital health innovations, improving efficiency and modernising the delivery of personalised care across health systems. …”
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Unplanned Postoperative Angiography After Isolated Coronary Artery Bypass Grafting: State of the Art and Future Perspective by Konrad Wisniewski, Giovanni Concistrè, Angelo Maria Dell’Aquila

“…Establishing standardized criteria for diagnosing and managing PMI remains critical to enhance outcomes and healthcare efficiency.…”
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Assessment of the Impact of the Adverse Economic Geopolitical Environment on the Worth of Russian Oil and Gas Companies by V. S. Lipatnikov, K. A. Kirsanova

“…The relevance of the chosen topic is connected to the fact that in the conditions of value-based management, market capitalization acts as a key indicator of the company efficiency. At the present time, when the Russian oil and gas industry has become the object of international sectoral sanctions, the identification of the impact of these sanctions on the domestic oil and gas companies’ value is of great practical importance. …”
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Integrating deep learning in stride-to-stride muscle activity estimation of young and old adults with wearable inertial measurement units by Min Khant, Darwin Gouwanda, Alpha A. Gopalai, Chee Choong Foong

“…The proposed method was compared against the other deep learning models. The result of the proposed method was better that the alternatives. …”
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Banana bunch image and video dataset for variety classification and gradingMendeley Data by D.S. Guru, Saritha N

“…Accurate variety identification and quality grading are crucial for marketing, pricing, and operational efficiency in food processing industries [9]. …”
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Methods integrating innate and adaptive immune responses in human in vitro immunization assays by Tetiana Y. Bowley, Kiersten D. Lenz, Apoorv Shanker, Jessica Z. Kubicek-Sutherland

“…The rapid down-selection of vaccine candidates and identification of optimal vaccine formulations can be performed using human in vitro immunization (IVI) assays that recapitulate the complex interactions of the innate and adaptive human immune response. …”
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Relativistic Bistatic Scattering of a High-Speed Moving Plasma Coated Object by Pengcheng Ren, Lei Kuang, Jianjun Gao, Qing Huo Liu

“…Accurate modeling of relativistic electromagnetic scattering characteristics from high-speed motion of plasma coated objects is crucial for the development of hypersonic aircraft and their applications in the identification and surveillance of moving stealth targets. …”
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