EPIGENETIC REGULATION OF GENE EXPRESSION IN HEAD AND NECK SQUAMOUS CELL CARCINOMA: THERAPEUTIC PERSPECTIVES by R. B. Samsonov, Z. A. Radzhabova, Yu. V. Cheburkin, V. A. Klyuge, E. V. Tkachenko, A. V. Malek

“…Unfortunately, optimization of diagnostic algorithms and wide implementation of instrumental diagnostics (ultrasound examination, computed tomography, fiber endoscopy) do not improve the situation. …”
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Advanced Trajectory Analysis of NASA’s Juno Mission Using Unsupervised Machine Learning: Insights into Jupiter’s Orbital Dynamics by Ashraf ALDabbas, Zaid Mustafa, Zoltan Gal

“…Two unsupervised machine learning algorithms, DBSCAN and OPTICS, are applied to cluster the sampling events in two 3D state spaces: (velocity, acceleration, jerk) and (acceleration, jerk, snap). …”
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Enhancing electric vehicle charging infrastructure: A framework for efficient charging point management by Prajeesh C B, Krishna Priya R, Anju S Pillai, Ahmed S Khwaja, Alagan Anpalagan

“…By employing the K-Means clustering algorithm, the ADDSA categorizes charging points based on their performance and availability. …”
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Dynamics of quality of life of head and neck cancer patients after treatment. Clinical significance by A. V. Karpenko, R. R. Sibgatullin, A. A. Boyko, M. G. Kostova, O. M. Nikolayeva, E. M. Trunin

“…Moreover, for one of them (mouth opening) statistical significance was not reached.Conclusions. Further research of clinical significance of changes and differences in scales and domains that determine and affect quality of life are needed. …”
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Development of a 101.6K liquid‐phased probe for GWAS and genomic selection in pine wilt disease‐resistance breeding in Masson pine by Jingyi Zhu, Qinghua Liu, Shu Diao, Zhichun Zhou, Yangdong Wang, Xianyin Ding, Mingyue Cao, Dinghui Luo

“…The accuracy of disease resistance predictions reached 90% for the top 20% of the testing population ordered by resistance genomic estimated breeding value. …”
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Hybrid intelligence framework for optimizing shear capacity of lightweight FRP-reinforced concrete beams by Iman Faridmehr, Moncef L. Nehdi, Mohammad Ali Sahraei, Kiyanets Aleksandr Valerievich, Chiara Bedon

“…The hybrid intelligence models reached superior predictive accuracy over traditional codes, achieving R2 values of 0.89. …”
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Intelligent fault diagnosis of shearer based on simplified interval kernel global-local feature fusion by Ning LI, Hua DING, Xiaochun SUN, Zeping LIU, Guoshu PU

“…Its fault monitoring accuracy reaches 99.90%, 99.40% and 98.70%, respectively, and its calculation time is only 0.324, 0.367 and 0.345 s respectively. …”
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Assessing current and future areas of ecological suitability for Lutzomyia shannoni in North America by Sydney DeWinter, Grace K. Nichol, Christopher Fernandez-Prada, Amy L. Greer, J. Scott Weese, Katie M. Clow

“…The ecological niche model was created using maximum entropy (MaxEnt) algorithms to identify regions which currently are or may become ecologically suitable for Lu. shannoni. …”
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Sedimentary microfacies prediction based on multi-point geostatistics under the constraint of INPEFA curve by Xudong Wang, Zicheng Yang, Xibao Liu, Chengyuan Yuan

“…High-order compatibility algorithms constrained the simulations, with iterative human-computer interaction refining sedimentary microfacies models for three sand groups. …”
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Recognition of State of Health Based on Discharge Curve of Battery by Signal Temporal Logic by Jing Ning, Bing Xiao, Wenhui Zhong

“…Compared with the existing machine learning algorithms, in terms of the mean runtime, the STL algorithm is superior to the CNN-BiLSTM-MHA model, RNN-LSTM-GRU model, and EC-MKRVM model. …”
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Deep‐HH: A deep learning‐based high school student hidden hunger risk prediction system by Yang Yang, Zheng Zhang, Huake Cao, Yuchen Zhang, Minao Wang, Ning Zhang

“…In the external test cohort, the area under the curve reached 0.813, accuracy was 0.739, and sensitivity and specificity were 0.720 and 0.760, respectively. …”
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Social Media and Men’s Health: Separating Science from Speculation in Andrology by Michael George, Vaibhav Modgil, Ian Pearce, Theodora Stasinou

“…Conclusion Whilst the growing presence of urologists online may have the potential to counter health-related misinformation, there are barriers inherent to social media platforms that limit the reach and impact of expert voices at present. To leverage the opportunity that social media offers, urologists are required to modernise their approach to communication in order to ensure that accurate health information is both accessible and engaging.…”
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A machine learning model for early detection of sexually transmitted infections by Juma Shija, Judith Leo, Elizabeth Mkoba

“…In the most recent years, the prevalence of STIs reached approximately 20% among Tanzanian older adults living in metropolitan areas. …”
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Statistical analysis of the migration situation and the factors affecting the Russian demographic expansion by Pavel E. Prokhorov, Nikita D. Epstein

“…However, unfortunately, we must note that there are still many questions about the methodology of statistical research of demographic security of the state have not reached an adequate level of scientific study, and does not fully correspond to the complexity of problems solved today. …”
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Detección y Seguimiento de Personas Basado en Estereovisión y Filtro de Kalman by Jorge García, Alfredo Gardel, Ignacio Bravo, José Luis Lázaro, Miguel Martínez, David Rodríguez

“…To validate the algorithm have been used several real videos taken from different transit areas inside buildings, reaching rates ranging between 87% and 98% accuracy depending on the number of people crossing the counting zone simultaneously. …”
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Optimizing photocatalytic dye degradation: A machine learning and metaheuristic approach for predicting methylene blue in contaminated water by Yunus Ahmed, Keya Rani Dutta, Sharmin Nahar Chowdhury Nepu, Meherunnesa Prima, Hamad AlMohamadi, Parul Akhtar

“…Among all models, HistGradientBoosting had a very well-balanced performance. It reached a very high R² of 0.9998 on the training set and 0.9915 on the test set, coupled with low error metrics, showcasing its strong generalization capability. …”
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THE RESULTS OF MYOCARDIAL REVASCULARIZATION IN NON-ST-ELEVATION ACUTE CORONARY SYNDROME PATIENTS AND MULTIVESSEL DISEASE by R. S. Tarasov, Yu. N. Neverova, V. I. Ganyukov, S. V. Ivanov, O. A. Nagirnyak, O. L. Barbarash, L. S. Barbarash

“…The development needed, of algorithms of optimal strategy of revascularization in NSTEACS, with MD, based upon objective criteria, and meaning the higher rate of CBG approach fulfilling the most complete revascularization.…”
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Strategy for Optimizing Vitamin B12 Production in <i>Pseudomonas putida</i> KT2440 Using Metabolic Modeling by Thomaz Satuye Prieto-de Lima, Keilor Rojas-Jimenez, Christopher Vaglio

“…<b>Results</b>: According to the flux balance analysis of <i>P. putida</i> KT2440 under culture conditions, the biomass production values could reach 1.802 gDW⁻¹·h¹·L⁻¹, and vitamin B₁₂ production could reach 0.359 µmol·gDW⁻¹·h⁻¹·L⁻¹. …”
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Enhancing <i>Panax notoginseng</i> Leaf Disease Classification with Inception-SSNet and Image Generation via Improved Diffusion Model by Ruoxi Wang, Xiaofan Zhang, Qiliang Yang, Lian Lei, Jiaping Liang, Ling Yang

“…Recently, image classification algorithms have shown great promise for plant disease diagnosis, but dataset quantity and quality are crucial. …”
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The influence of pH and temperature on benthic chlorophyll-a: Insights from SHAP-XGBoost and random forest models by Sangar Khan, Noël P.D. Juvigny-Khenafou, Tatenda Dalu, Paul J. Milham, Yasir Hamid, Kamel Mohamed Eltohamy, Habib Ullah, Bahman Jabbarian Amiri, Hao Chen, Naicheng Wu

“…The SVR demonstrated that AT is vital for the upper and middle catchment reaches, while pH is more important in the lower reaches. …”
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