THE APPROVAL OF COMPLEX TREATMENT EFFECTIVENESS OF GENERALIZED PERIODONTITIS FOR THE PATIENTS AFTER TRANSMITTED CORONAVIRUS DISEASE AND REMAIN ON REHABILITATION by T.I. Matviykiv, M.M. Rozhko

“…Both standard and proposed algorithms of procedures for treating the first stage included thorough removal of all local irritants of periodontal tissues, mechanical treatment of the tooth root surface, manual and ultrasonic scaling, removal of super- and subgingival soft and hard dental deposits, smoothing of the root surface with the following polishing of the treated surfaces and applying a desensitizer. …”
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Unified ELM suppression on KSTAR and DIII-D via adaptive feedback control strategies by R. Shousha, S.K. Kim, K.G. Erickson, S.H. Hahn, A.O. Nelson, N.C. Logan, S.M. Yang, Q.M. Hu, R. Wilcox, J.-K. Park, C. Paz-Soldan, A. Battey, M.W. Kim, G. Shin, W.H. Ko, Y.M. Jeon, J.H. Lee, J. Jang, D.C. Seo, J. Abbate, A. Rothstein, E. Kolemen

“…This paper reports on the extension of our amplitude-based resonant magnetic perturbation (RMP) edge localized mode (ELM) controller to support phasing control (relative toroidal phases of RMP waveforms between rows of coils), multiple toroidal mode numbers, and new ‘jump’ and ‘probing’ strategies, all deployed on KSTAR and DIII-D. By treating the control algorithm as device-independent and adjusting only the real-time interfaces to sensors and power supplies, we have confirmed that the same finite state machine—based feedback logic can be ported between machines with minor modifications. …”
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Hemoglobin state-flux: A finite-state model representation of the hemoglobin signal for evaluation of the resting state and the influence of disease. by Randall L Barbour, Harry L Graber, San-Lian S Barbour

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Predicting effective drug combinations for cancer treatment using a graph-based approach by Qi Wang, Xiya Liu, Guiying Yan

“…We have theoretically proven the convergence of its algorithm and provided an explanation for the algorithm's rationality. …”
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System identification and robust PID controller tuning of quarter car suspension system using hybrid optimization techniques by S. Sakthiya Ram, C. Kumar, R. Saravanakumar, David Banjerdpongchai

“…After validating the resulting dynamic model, various PID controllers are designed using standard metaheuristic algorithms—Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and Simulated Annealing (SA). …”
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Comparative efficacy evaluation for various anticonvulsant drugs to restraint epileptiform states in rats by R. G. Paronikyan, R. Sh. Sargsyan, J. S. Sarkissyan, G. G. Avakyan, V. M. Avakyan, V. R. Sargsyan, A. V. Margaryan

“…Objective: development of a simple algorithm to comparatively evaluate effectiveness of various anticonvulsant drugs (ACDs) for restraining epileptiform states in rats.Material and methods. …”
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ICSO: A Novel Hybrid Evolutionary Approach with Crisscross and Perturbation Mechanisms for Optimizing Generative Adversarial Network Latent Space by Zhihui Chen, Ting Lan, Zhanchuan Cai, Zonglin Liu, Renzhang Chen

“…The ICSO algorithm treats the quality and diversity as separate objectives, balancing them through a normalization strategy, while a gradient regularization term (i.e., GP) is introduced into the discriminator’s objective function to stabilize training and mitigate gradient-related issues. …”
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Congenital Chagas disease: A cohort study to assess molecular diagnostic methods at the Chagas disease national reference center of Argentina. by Constanza Lopez-Albizu, Carolina Inés Cura, Juan Carlos Ramirez, Pamela Peyran, Andrés Benchetrit, Emmaría Danesi, Sergio Sosa-Estani

“…It could be a powerful tool for chagas test and treat strategies to reduce late complications of the disease.…”
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Corneal Stability following Hyperopic LASIK with Advanced Laser Ablation Profiles Analyzed by a Light Propagation Study by Almutez M. Gharaibeh, Asier Villanueva, David Mas, Julian Espinosa, Jorge L. Alió

“…To assess anterior corneal surface stability 12 months following hyperopic LASIK correction with a light propagation algorithm. Setting. Vissum Instituto Oftalmológico de Alicante, Universidad Miguel Hernández, Alicante, Spain. …”
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Acne-induced Post-inflammatory Hyperpigmentation: From Grading to Treatment by Nicole Auffret, Marie-Thérèse Leccia, Fabienne Ballanger, Jean Paul Claudel, Serge Dahan, Brigitte Dréno

“…This work provides an easy-to-use AI-PIH severity grading tool for daily clinical practice as well as indications on how to prevent and treat AI-PIH using currently available treatment options. …”
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Association between glucose-to-albumin ratio and ischemic stroke risk in patients with coronary heart disease: a machine learning-based predictive model analysis by Ling Hou, Yuanhong Li, Qianfei Liu

“…Key features identified by the Boruta algorithm included GAR, hyperlipidemia, and a history of hypertension. …”
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Advancements in artificial intelligence for atopic dermatitis: diagnosis, treatment, and patient management by Fang Cao, Yujie Yang, Cui Guo, Hui Zhang, Qianying Yu, Jing Guo

“…AI algorithms, especially those that use deep learning techniques, demonstrate strong performance in recognizing skin images and effectively distinguishing different types of skin lesions, including common AD manifestations. …”
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Remote Sensing Perspective on Monitoring and Predicting Underground Energy Sources Storage Environmental Impacts: Literature Review by Aleksandra Kaczmarek, Jan Blachowski

“…The review covers modelling and prediction methods used to analyze the environmental impacts of UGS, with data-driven models employing geostatistical tools and machine learning algorithms. The limited number of contributions treating geological storage sites holistically opens perspectives for the development of complex approaches capable of monitoring and modelling its environmental impacts.…”
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Gaussian Process Regression and Machine Learning Methods for Carbon-Based Material Adsorption by Manar Ahmed Hamza, Maha M. Althobaiti, Fahd N. Al-Wesabi, Rana Alabdan, Hany Mahgoub, Anwer Mustafa Hilal, Abdelwahed Motwakel, Mesfer Al Duhayyim

“…Below a variety of environmental parameters (e.g., warmth, solution pH) and adsorbent varieties, the created Ml algorithms outperformed classic isotherm models in conditions of generalisation. …”
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FEATURES OF DIAGNOSTIC AND THERAPEUTIC TACTICS FOR BLUNT ABDOMINAL TRAUMA WITH DAMAGE TO THE PANCREAS by A. B. Singayevsky, S. G. Scherbak, B. V. Sigua, N. M. Vrublevsky, A. V. Nikiforenko, A. A. Kurkov, A. K. Dyukov

“…The study group consisted of 59 patients, treated in 2004-2015, and the comparison group consisted of 82 patients (1991–2003). …”
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Prediction of traditional Chinese medicine for diabetes based on the multi-source ensemble method by Bin Yang, Qingyun Chi, Xiang Li, Jinglong Wang

“…The frequencies of occurrences of medicinal herbs corresponding to these three algorithms are obtained, each containing an active ingredient list. …”
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PHYSICAL METHODS OF REHABILITATION IN CANCER PATIENTS AFTER COMBINED MODALITY TREATMENT FOR BREAST CANCER by V. E. Tishakova, E. V. Filonenko, V. I. Chissov, N. A. Efimenko, A. N. Urlova

“…On the other hand, the absence of the unified treatment algorithms is challenging for clinicians. Therefore, its development with the focus on patient-specific approach is a crucial task for modern rehabilitology in breast cancer surgery.…”
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Ranking polycystic ovarian syndrome (PCOS) drugs using degree-based indices in QSPR models and CRITIC-driven MCDM methods by Muhammad Waheed Rasheed, Abid Mahboob, Laiba Amin, Aysha Hussain

“…This study investigates several methods for treating polycystic ovary syndrome (PCOS) as well as its causes, which include a complicated interplay between hereditary susceptibility, hormonal imbalances, insulin resistance, and lifestyle variables. …”
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Preliminary Electroencephalography-Based Assessment of Anxiety Using Machine Learning: A Pilot Study by Katarzyna Mróz, Kamil Jonak

“…Future research should focus on optimizing ML algorithms, enhancing personalization, and addressing ethical concerns related to patient privacy.…”
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Probabilistic Topology Optimization Framework for Geometrically Nonlinear Structures Considering Load Position Uncertainty and Imperfections by Muayad Habashneh, Oveys Ghodousian, Hamed Fathnejat, Majid Movahedi Rad

“…A key innovation lies in treating load position as a stochastic variable, augmenting the existing parameters, such as volume fraction, material properties, and geometric imperfections, to capture the full spectrum of variability inherent in real-world conditions. …”
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