Expectations of Intensive Care Physicians Regarding an AI-Based Decision Support System for Weaning From Continuous Renal Replacement Therapy: Predevelopment Survey Study by Benjamin Popoff, Sandie Cabon, Marc Cuggia, Guillaume Bouzillé, Thomas Clavier

“…Clinical decision support systems (CDSS) leveraging artificial intelligence (AI) technologies have shown promise in improving diagnostic, prognostic, and therapeutic decision-making. …”
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The role of anticoagulants in the treatment of community-acquired pneumonia in patients combined with coronavirus infection by I. M. Fushtei, V. O. Mochonyi, O. V. Soloviov

“…Heparin has been found to have a high therapeutic potential in patients with community-acquired pneumonia combined with coronavirus infection, but the bleeding risk should be weighed up. …”
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Adaptive Neuro-Fuzzy Inference System-Genetic Algorithm approach for global maximum power point tracking in PV systems under different shading conditions by Nivine Guler, Zied Ben Hazem, Ali Gunes, Firas Saidi

“…Photovoltaic (PV) panels have become popular energy sources; nonetheless, when under partial shading, their efficiency greatly reduces because of the occurrence of several power peaks or spikes arising because of the variation in irradiance. …”
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Ecofriendly and cost effective Plastic degradation by microorganisms by Mohsen A. Sayed, Ahmed K. Gad, Esraa M. Kandil, Eyad H. Hamed, Gehad S. Megahed, Mirna A. Elwardany, Mirna M. Mikhaeil, Yara Y. Abdel-Moneim

“…This crisis presents numerous dimensions that encompass social, technical, and economic challenges, making it an intricate problem to solve. Over the past decades, several corporations have emerged, seeking to utilize innovative processes aimed at tackling this crisis. …”
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Imbalanced Power Spectral Generation for Respiratory Rate and Uncertainty Estimations Based on Photoplethysmography Signal by Soojeong Lee, Mugahed A. Al-antari, Gyanendra Prasad Joshi, Yeong Hyeon Gu

“…However, machine learning (ML) algorithm errors embedded in health monitoring systems can be problematic in medical decision-making because some data have much larger sample sizes in the training set than others. …”
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Local hemostasis disorders underlying endometric pathology by E. Iu. Iupatov, I. G. Mustafin, T. E. Kurmanbaev, R. M. Nabiullina, K. M. Atayants, A. A. Shmidt, E. V. Frederiks

“…Moreover, there have been summarized the data on key changes in the state of local endometrial hemostasis that play a role in the pathogenesis of endometriosis, as well as underlying abnormal uterine bleeding (AUB).Conclusion. …”
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DIACHRONIC PERSPECTIVE ON THE AGING DISCOURSE IN THE FICTIONS OF WESTERN EUROPE AND THE USA by Anna V. Gaidash

“…The findings of the paper conclude that societal attitudes toward old age and aging and its literary manifestations have undergone dramatic, sometimes polar, transformations over more than two millennia. …”
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Short-term residential electricity consumption forecast considering the cumulative effect of temperature, dual decomposition technology and integrated deep learning by Lanlan Wang, Yong Lin, Tingting Song, Yuchun Chen, Kai Li, Junchao Ran

“…At the first stage, we first analyzed cumulative effects of temperature on residential electricity consumption, and an hourly temperature correction model combining meteorological factors is constructed, the adjusted hourly temperature data are then entered into the predictive model. We have developed a Variable Modal Decomposition (VMD) data decomposition technique optimized for non-governmental organizational models, which improves the problem of subjectivity in parameter setting in traditional VMD, thus enhancing the performance and accuracy in data decomposition. …”
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Clinico-psycological characteristics of schizoaffective disorder remission in the context of pathopersonological transformations in the post-manifestation period (a clinical-etholo... by M. Ye. Khomitskyi

“…Results.The clinical-ethological characteristics of the socio-communicative interaction of patients with SAD obtained through postures, facial expressions and gestures have statistically significant differences regarding the characteristics of healthy individuals and indicate the presence of persistent transformations of pathopersonological range. …”
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Comorbidity of cerebral palsy and epilepsy with autism in children by B. A. Abusueva, M. A. Askevova, M. D. Shanavazova, B. M. Nasrutdinova, M. Yu. Bobylova, A. S. Gadzhieva

“…Epilepsy was manifested by focal motor seizures. Patients with complex treatment (drugs and pedagogical correction) have more pronounced positive dynamics compared with patients who received only drug therapy or only rehabilitation (p <0.05).Conclusion. …”
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A Hybrid Deep Learning Framework for Early-Stage Alzheimer’s Disease Classification From Neuro-Imaging Biomarkers by Samina Akram, Muhammad Amjad Iqbal, Muhammad Rashid, Muhammad Shahid Bhatti, Benish Fida

“…Our ensemble methodology deciphers complex patterns within Magnetic Resonance Imaging, mapping them to specific AD early stages. …”
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On the Control of the Technical Condition of Elevator Ropes Based on Artificial Intelligence and Computer Vision Technology by A. V. Panfilov, A. R. Yusupov, A. A. Korotkiy, B. F. Ivanov

“…Introduction. The safety problem and the situation with accidents during the operation of elevator installations are elucidated. …”
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Genetic Landscape of Obesity in Children: Research Advances and Prospects by Rita Khusainova, Ildar Minniakhmetov, Olga Vasyukova, Bulat Yalaev, Ramil Salakhov, Darya Kopytina, Raisat Guseinova, Ekaterina Dobreva, Galina Melnichenko, Ivan Dedov, Natalia Mokrysheva

“…The World Health Organization predicts that 250 million children and adolescents aged 5–19 years will be obese by 2030, which indicates a global problem with far-reaching consequences. Advances in genomic technologies have led to the identification of multiple genetic loci associated with the disease ranging from severe cases with early onset to common multifactorial polygenic forms. …”
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The Role of Self-Attitude in the Personal and Professional Development of High School Students by Zh. G. Garanina, S. I. Balyaev, M. S. Ionova

“…Empirical methods were employed in the course of the research. The complex of psycho-diagnostic techniques was used: test-questionnaire of self-attitude by V. …”
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Determinants of domestic physical violence: an empirical analysis on Bangladesh MICS 2019 dataset by Sayed Jubair Bin Hossain, Fariha Kadir, Muhammad Ihsan- Ul- Kabir

“…Abstract Background Violence against women is a major public health problem and a violation of women's human rights. Estimates published by WHO indicate that globally, about 1 in 3 (30%) of women worldwide have been subjected to either physical or sexual intimate partner violence. …”
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Selection of the Process of Arc Welding of Sealing Surfaces of Power Valves with a Consumable Electrode in the Shielding Gas by D. V. Rogozin, V. A. Lenivkin

“…Currently, arc, electroslag, plasma, beam, induction and other surfacing techniques have been developed and introduced into production. …”
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State of care in patients with endometrial cancer in Zaporizhzhia region since 2008 to 2015 year by O. P. Kolesnik, A. V. Kadzhoian, A.O. Kabakov

“…Endometrial Cancer (EC) is a relevant problem both in Ukraine and in the world. Aim. …”
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Urban Greening Management Arrangements between Municipalities and Citizens for Effective Climate Adaptation Pathways: Four Case Studies from The Netherlands by Sara Romero-Muñoz, Teresa Sánchez-Chaparro, Víctor Muñoz Sanz, Nico Tillie

“…Climate adaptation in cities is a complex problem and one of the main collective challenges for society, but the relationships between city managers and citizens as to urban green care still face many challenges. …”
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Knowledge reasoning and strategy optimization for ship operation and maintenance based on digital twin and improved KD tree algorithm by Liyao ZHANG, Ziqian GUO, Ruifang LI, Xun YE, Tao MA

“…The propulsion system, auxiliary power system, etc. of ships have become increasingly intelligent, and ship maintenance work has become ever more complex. …”
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DTCMMA: Efficient Wind-Power Forecasting Based on Dimensional Transformation Combined with Multidimensional and Multiscale Convolutional Attention Mechanism by Wenhan Song, Enguang Zuo, Junyu Zhu, Chen Chen, Cheng Chen, Ziwei Yan, Xiaoyi Lv

“…Traditional recurrent neural network (RNN) and long short-term memory (LSTM) models, although capable of handling sequential data, struggle with modeling long-term temporal dependencies due to the vanishing gradient problem; thus, they are now rarely used. Recently, Transformer models have made notable progress in sequence modeling compared to RNNs and LSTM models. …”
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