State of charge estimation of lithium-ion batteries in an electric vehicle using hybrid metaheuristic - deep neural networks models by Zuriani Mustaffa, Mohd Herwan Sulaiman, Jeremiah Isuwa

“…Accurate estimation of the state of charge (SoC) of lithium-ion batteries in electric vehicles (EVs) is crucial for optimizing performance, ensuring safety, and extending battery life. However, traditional estimation methods often struggle with the nonlinear and dynamic behavior of battery systems, leading to inaccuracies that compromise the efficiency and reliability of electric vehicles. …”
Get full text

Discovering temporal, spatial, and contextual anomalous social activities from streaming social media datasets by Mete Celik, Ahmet Sakir Dokuz, Alper Ecemis, Emre Erdogmus

“…Evaluations are conducted using a real-life streaming Twitter/X dataset from New York, USA. …”
Get full text

Spatiotemporal optimization for communication-navigation-sensing collaborated emergency monitoring by Xicheng Tan, Bocai Liu, Chaopeng Li, Zeenat Khadim Hussain, Kaiqi Wang, Kai Wang, Mengyan Ye, Danyang Yang, Zhiyuan Mei

“…This study supports emergency response by utilizing ground ANET, which is crucial for disaster emergency response, command scheduling, and life rescue in extreme disaster scenarios.…”
Get full text

5G Network on Wings: A Deep Reinforcement Learning Approach to the UAV-Based Integrated Access and Backhaul by Hongyi Zhang, Zhiqiang Qi, Jingya Li, Anders Aronsson, Jan Bosch, Helena Holmstrom Olsson

“…Fast and reliable wireless communication has become a critical demand in human life. In the case of mission-critical (MC) scenarios, for instance, when natural disasters strike, providing ubiquitous connectivity becomes challenging by using traditional wireless networks. …”
Get full text

Estimation of the Potential Benefits of Meningococcal Vaccination in Children at 9 and 12 Months of Age Using a Predictive Mathematical Model by N. I. Briko, O. I. Volkova, I. S. Korolyova, E. O. Kurilovich, L. D. Popovich, I. V. Feldblum

“…The aim is to assess the predicted socio-economic consequences for different scenarios: while maintaining the current vaccination algorithm and including in the NIS vaccination against MI of all children aged 9 and 12 months using mathematical modeling.Results and discussion. …”
Get full text

Development of postcastration syndrome and corrective effect of xenon in exponential dose regimen in young patients with gynecological cancers by O. I. Kit, N. N. Popova, A. I. Shikhlyarova, E. M. Frantsiyants, T. I. Moiseenko, A. P. Menshenina, G. V. Zhukova, T. P. Protasova, Yu. Yu. Arapova

“…Since the formation of pathological syndromes, 1 cycle (5 sessions) of low-dose xenon inhalation therapy (XT) was performed, with an algorithm for xenon dose calculation and exposure according to the exponential pattern of decreasing concentration and increasing exposure, with an individual approach. …”
Get full text

Brain structural features with functional priori to classify Parkinson’s disease and multiple system atrophy using diagnostic MRI by Kai Zhou, Jie Li, Rui Huang, Jiali Yu, Rong Li, Wei Liao, Fengmei Lu, Xiaofei Hu, Huafu Chen, Qing Gao

Get full text

Psychological and pedagogical support of future teachers of preschool education institutions: informative content by Dikhtiarenko Stanislava

“…The problem of developing an individual's ability to make decisions in problematic and conflict situations, to understand the regulation of one's own behaviour and activities, and to go beyond one's own limits of life, the life of society and other people in the light of higher values is becoming more acute. …”
Get full text

Therapy and rehabilitation of women with diabetic adhesive capsulitis by Iryna Zharova, Yevhen Orlenko

“…The proposed and implemented TtaR program for women with type 2 diabetes and adhesive capsulitis allowed to reduce pain syndrome, restore functional capabilities, and improve the quality of life.…”
Get full text

Results of minimally invasive core decompression and autologous bone grafting in combination with autologous bone marrow aspirate concentrate in the treatment of patients with asep... by Daria A. Naida, Boris V. Tyulkevich, Dmitry A. Malanin, Vladimir V. Kondrashenko, Maxim V. Demeshchenko, Nikolay N. Chirkov

“…The combination of core decompression and autologous bone grafting with autologous bone marrow aspirate concentrate (BMAC) in the treatment of patients with ANFH could improve their quality of life, delay joint replacement, or, in some cases, avoid it completely. …”

Automated derivation of diagnostic criteria for lung cancer using natural language processing on electronic health records: a pilot study by Andrew Houston, Sophie Williams, William Ricketts, Charles Gutteridge, Chris Tackaberry, John Conibear

Get full text

Catalyzing early ovarian cancer detection: Platelet RNA-based precision screening by Eunyong Ahn, Se Ik Kim, Sungmin Park, Sarah Kim, Hyejin Lee, Yeochan Kim, Sangick Park, Suyeon Lee, Dong Won Hwang, Heeyeon Kim, HyunA Jo, Untack Cho, Juwon Lee, Cheol Lee, TaeJin Ahn, Yong-Sang Song

Get full text

Potential applications of a low-cost gas sensor to monitor enteric methane emission from ruminant animals by Mulisa F. Dida, Milad Bagheri Shirvan, Toshikazu Kawaguchi, Sergio C. Garcia, Luciano A. Gonzalez

Get full text

Does machine learning outperform logistic regression in predicting individual tree mortality? by Aitor Vázquez-Veloso, Astor Toraño Caicoya, Felipe Bravo, Peter Biber, Enno Uhl, Hans Pretzsch

Get full text

Agenda setting for health equity assessment through the lenses of social determinants of health using machine learning approach: a framework and preliminary pilot study by Maryam Ramezani, Mohammadreza Mobinizadeh, Ahad Bakhtiari, Hamid R. Rabiee, Maryam Ramezani, Hakimeh Mostafavi, Alireza Olyaeemanesh, Ali Akbar Fazaeli, Alireza Atashi, Saharnaz Sazgarnejad, Efat Mohamadi, Amirhossein Takian

“…Multiple ML models were developed and evaluated using SPSS Modeler software version 18.0. Results ML algorithms effectively identified key SDH influencing life expectancy. …”
Get full text

Estimating the Risk of Lower Extremity Complications in Adults Newly Diagnosed With Diabetic Polyneuropathy: Retrospective Cohort Study by Alyce S Adams, Catherine Lee, Gabriel Escobar, Elizabeth A Bayliss, Brian Callaghan, Michael Horberg, Julie A Schmittdiel, Connie Trinacty, Lisa K Gilliam, Eileen Kim, Nima S Hejazi, Lin Ma, Romain Neugebauer

“…While data-driven diabetic polyneuropathy algorithms exist, high-performing, clinically useful tools to assess risk are needed to improve clinical care. …”
Get full text

Carreau fluid flow analysis with inclined magnetic field and melting heat transfer by Rasheed Khan, Salman Zeb, Zakir Ullah, Muhammad Yousaf, Inna Samuilik

Get full text

Improving a data mining based diagnostic support tool for rare diseases on the example of M. Fabry: Gender differences need to be taken into account. by Philipp Hahn, Werner Lechner, Rainer-Georg Siefen, Christina Lampe, Peter Nordbeck, Lorenz Grigull, Thomas Lücke

“…An artificial intelligence (AI)-based diagnosis support algorithm for rare diseases has been developed in preliminary studies.…”
Get full text

Clinical predictors of I-131 therapy failure in differentiated thyroid cancer by machine learning: A single-center experience by David J. Lubin, Caleb Tsetse, Mohammad S. Khorasani, Massoud Allahyari, Mary McGrath

“…Such stratification will ultimately help to optimize successful treatment outcomes and improve patient quality of life.…”
Get full text

THE MAIN RESULTS OF COOPERATION BETWEEN THE V.A. NASONOVA RESEARCH INSTITUTE OF RHEUMATOLOGY AND RESEARCH CENTERS OF EUROPE WITHIN THE EUSTAR (EULAR SCLERODERMA TRIALS AND RESEARCH... by L. P. Ananyeva, M. N. Starovoitova, S. Sh. Shabanova

“…New diagnostic criteria for SS and an algorithm for its very early, preclinical diagnosis have been proposed. …”
Get full text