Frequency of office blood pressure measurements and the seasonal variability of blood pressure: results of the Hungarian Hypertension Registry by János Nemcsik, Johanna Takács, Dorottya Pásztor, Csaba Farsang, Attila Simon, Dénes Páll, Péter Torzsa, Szilveszter Dolgos, Akos Koller, Norbert Habony, Zoltán Járai

“…In GP practices with more patients, blood pressure is usually less well-controlled. These results suggest that the further promotion of home blood pressure monitoring is necessary.…”
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Forecasting of phenotypic productivity of middle-early soybean varieties by О. І. Присяжнюк, В. Г. Димитров, О. М. Мартинов

“…Methods. Special and gene­ral techniques for studies. Results. Optimal productivity of plants is forming merely at the expense of efficient ratio of all the elements of their structure. …”
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Using multivariate generalized linear latent variable models to measure the difference in event count for stranded marine animals by R.E. Caraka, R.C. Chen, Y. Lee, T. Toharudin, C. Rahmadi, M. Tahmid, A.S. Achmadi

“…<br /> <strong>RESULTS:</strong> The best theta parameter in the latent multivariate latent generalized linear latent variable model was found in the Akaike Information Criterion, Akaike Information Criterion Corrected and Bayesian Information Criterion values, andthe information obtained was used to create a spatial cluster. …”
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On Learning Generalized Wireless MAC Communication Protocols via a Feasible Multi-Agent Reinforcement Learning Framework by Luciano Miuccio, Salvatore Riolo, Sumudu Samarakoon, Mehdi Bennis, Daniela Panno

“…Moreover, to address the second challenge, we leverage the concept of state abstraction and imbue it into the MARL framework for better generalization. As a result, the policies are learned in an abstracted observation space that contains only useful information extracted from the original high-dimensional and redundant observation space. …”
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Reliability-Based Design Optimization of Bearing Hub Preform for Minimizing Defects Considering Manufacturing Tolerance in Hot Forging Process by Minseong Oh, Jinkuk Kim, Juhyun Cho, Mincheol Kim, Mansoo Joun, Seokmoo Hong

“…However, previous research has generally been performed through deterministic optimization for ideal cases that do not take manufacturing tolerances into account. …”
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RESULTS OF INNOVATIVE TECHNOLOGIES TREATMENT OF PERIODONTAL DISEASES AND MUCOUS MEMBRANES ORAL CAVITY IN CLINIC OF THERAPEUTIC STOMATOLOGY by T.O. Petrushanko, N.V. Rozkolupa, I.Y. Lytovchenko, N.V. Kotelevsky, S.Y. Chechotina

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Some issues of multi-criteria optimization of parameters of complex systems by R. V. Guseynov, M. R. Guseynova, K. A. Alieva

“…The paper describes general problems of multicriteria optimization of mechanical systems. …”
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Optimizing Correction Factors on Color Differences for Automotive Painting Services by Emilia Corina Corbu, Anne-Marie Nitescu, Eduard Edelhauser

“…Currently, the automotive sector is showing increased demands regarding the color of cars in general, but especially the quality and the time of painting, in particular. …”
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Development of a General Composite Scale (GENCOMS) for Progressive Neurodegenerative Diseases and Implications for the Assessment of Disease-Modifying Therapies by Samuel P. Dickson, Craig H. Mallinckrodt, Basia Rogula, Lauren C. Powell, Michele H. Potashman, Vladimir Coric, Gilbert J. L’Italien, Suzanne B. Hendrix

“…The derived model coefficients constitute a weighted sum of items that most effectively measure disease progression. Results The resultant composite scale was optimized to detect disease progression and can be examined in a range of slow or fast progressing populations. …”
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Predictive Models for Environmental Perception in Multi-Type Parks and Their Generalization Ability: Integrating Pre-Training and Reinforcement Learning by Kangen Chen, Tao Xia, Zhoutong Cao, Yiwen Li, Xiuhong Lin, Rushan Bai

“…In the subsequent training phase, a reinforcement learning strategy was introduced to optimize the sample selection and modal fusion paths to enhance the model’s generalization capability. …”
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Global stability of a multiple delayed viral infection model with general incidence rate and an application to HIV infection by Yu Ji

“…We obtain a threshold of the global stability for the uninfected equilibrium, which means the disease will be under control eventually. These results can be applied to a variety of viral infections of disease that would make it possible to devise optimal treatment strategies. …”
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General artificial intelligence enables network intelligence: a network operating system based on large language model by HUO Ru, SHA Zongxuan, LYU Kecheng, CHEN Wei, WANG Shuo, HUANG Tao, YU F. Richard

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CRYPTOCURRENCY PRICE PREDICTION: A HYBRID LONG SHORT-TERM MEMORY MODEL WITH GENERALIZED AUTOREGRESSIVE CONDITIONAL HETEROSCEDASTICITY by Indah Manfaati Nur, Rifqi Nugrahanto, Fatkhurokhman Fauzi

“…The accuracy value is obtained from the division of training data by 80% and testing data by 20%, with the number of neurons as many as three and epochs of 100 using the Adam optimizer. The MAPE accuracy results show a good prediction in predicting the value.…”
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Iterative Algorithm for Solving a Class of Quaternion Matrix Equation over the Generalized (P,Q)-Reflexive Matrices by Ning Li, Qing-Wen Wang

“…Furthermore, the optimal approximate generalized (P,Q)-reflexive solution for a given generalized (P,Q)-reflexive matrix X0 can be derived. …”
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RUSSIAN VERSION OF PHQ-2 AND 9 QUESTIONNAIRES: SENSITIVITY AND SPECIFICITY IN DETECTION OF DEPRESSION IN OUTPATIENT GENERAL MEDICAL PRACTICE by N. V. Pogosova, T. V. Dovzhenko, A. G. Babin, A. A. Kursakov, V. A. Vygodin

“…Patients filled in PHQ-2 and –9 questionnaires in presence of clinical psychologist and then assessed for depression by a psychiatrist (using ICD-10 criteria).Results. The optimal measures of sensitivity and specificity corresponded to cut-off scores of 3 for PHQ-2 (66,2% and 87,4% respectively) and 10 for PHQ-9 (68,9% and 93,3% respectively). …”
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Impact of Physical Activity on Cellular Metabolism Across Both Neurodegenerative and General Neurological Conditions: A Narrative Review by Vicente Javier Clemente-Suárez, Alejandro Rubio-Zarapuz, Pedro Belinchón-deMiguel, Ana Isabel Beltrán-Velasco, Alexandra Martín-Rodríguez, José Francisco Tornero-Aguilera

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Towards a Generalized Tidal Turbine Wake Analytical Model for Turbine Placement in Array Accounting for Added Turbulence by Kabir Bashir Shariff, Sylvain S. Guillou

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Advanced generalized machine learning models for predicting hydrogen–brine interfacial tension in underground hydrogen storage systems by Ahmed Farid Ibrahim

“…Sensitivity analysis and SHAP (Shapley Additive Explanations) analysis revealed temperature as the dominant factor influencing IFT, followed by CO2 concentration and pressure, while divalent salts (CaCl2, MgCl2) exhibited a stronger impact than monovalent salts (NaCl, KCl). This study optimizes hydrogen storage by offering a generalized, high-accuracy ML model that captures nonlinear fluid interactions in H2–brine systems. …”
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Analysis of Mortality Risk in Stroke Patients for Optimizing Stroke Services by Lisda Amalia, Aditya Islami

“…Introduction: The high mortality rate due to stroke causes a burden on health services, so it is essential to optimize stroke services. Mortality is one of the parameters used to assess stroke services. …”
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FORMALIZATION OF THE PROBLEM OF TRANSPORT LOGISTICS OPTIMIZATION NETWORKS AT THE STAGE OF REENGINEERING by Vladimir Beskorovainyi, Lyudmyla Kolesnyk, Dmytro Yevstrat

“…Exclusion of part of local criteria and restrictions from the general model allows obtaining models of practically all interesting problems of optimization of logistics networks. …”
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