Graph Neural Networks Approach for Joint Wireless Power Control and Spectrum Allocation by Maher Marwani, Georges Kaddoum

“…The proliferation of wireless technologies and the escalating performance requirements of wireless applications have led to diverse and dynamic wireless environments, presenting formidable challenges to existing radio resource management (RRM) frameworks. …”
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Anti-Biofilm and Antimicrobial Activities of Five Edible and Medicinal Macrofungi Samples on Some Biofilm Producing Multi Drug Resistant Enterococcus Strains by Başar Karaca, Arzu Çöleri Cihan, Ilgaz Akata, Ergin Murat Altuner

“…As a result, it was observed that these mushrooms have notable potency to develop alternative medicines to struggle infectious diseases and biofilms.…”
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Preference Reasoning Under Partial Alternatives by Michael Huelsman

“…Many formal approaches for solving this problem have been explored, but these approaches consider having, or eliciting, complete preference information. …”
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The search for subsystems of related functions from multilevel representation of systems of Boolean functions1 by P. N. Bibilo, A. M. Pazniak

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DATA MINING IN RELATIONAL SYSTEMS by Valentin Filatov, Valerii Semenets, Oleg Zolotukhin

“…The search for association rules is far from a trivial task, as it might seem at first glance. One of the problems is the algorithmic complexity of finding frequently occurring itemsets, since as the number of items grows, the number of potential itemsets grows exponentially.…”
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Psychocorrection of psychic and psychopathological disorders in rheumatologic pathology by V. M. Kozidubova, S. M. Doluda, V. Ye. Honcharov, E. M. Barycheva, O. V. Hurnytskyi, V. O. Shcherban

“…In all the patients with rheumatologic pathology, the features of psychic and psychopathological changes associated with the nosology have been revealed. Performing the psychocorrection training sessions with the adaptive skills development has helped to reduce the existing psychological problems severity in the majority of patients (68.0 % of cases). …”
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Retour au terrain ! by Bernard Davasse, Dominique Henry, Jean-François Rodriguez

“…Observation of the landscape has been the focus of a great deal of renewed interest in recent years. Having taken into account the criticism directed at the “integrated perspective” adopted by Vidalian geographers, it has now become a heuristic way of understanding an environment considered as a socio-ecological territorial complex and of defining action in this domain. …”
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BlockDroid: detection of Android malware from images using lightweight convolutional neural network models with ensemble learning and blockchain for mobile devices by Emre Şafak, İbrahim Alper Doğru, Necaattin Barışçı, İsmail Atacak

“…Recent efforts in this area have turned to deep learning methods. Because these methods can automatically extract meaningful features from data and efficiently learn complex relationships, they can achieve better performance in malware detection as well as in solving many other problems. …”
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Experimental and numerical optimization study of shock wave damping in aluminum panel sandwich by Masoud Rahmani, Amin Moslemi Petrudi

“…For this reason, the study of physics governing shock propagation problems in porous media is of particular importance, and the complexity of the governing equations also results in the numerical solution of these equations with many computational problems and costs. …”
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Supercharging engineering biology with automation by Sébastien Lambertucci, Faye Deakin

“…Data variability and reproducibility problems, mean the odds are stacked against emerging biotechs. …”
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GYS-RT-DETR: A Lightweight Citrus Disease Detection Model Based on Integrated Adaptive Pruning and Dynamic Knowledge Distillation by Linlin Yang, Zhonghao Huang, Yi Huangfu, Rui Liu, Xuerui Wang, Zhiwei Pan, Jie Shi

“…First, this paper introduces the following innovations in model structure: (1) A Gather-and-Distribute Mechanism is introduced in the Neck section, which effectively enhances the model’s ability to detect medium to large targets through global feature fusion and high-level information injection.(2) Scale Sequence Feature Fusion (SSFF) is used to optimize the Neck structure to improve the detection performance of the model for small targets in complex environments. (3) The Focaler-ShapeIoU loss function is used to solve the problems of unbalanced training samples and inaccurate positioning. …”
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Endothelial Dysfunction, Functional Structural Changes in the Vessels in Patients with the Unstable Angina with Arterial Hypertension by Denesiuk O.

“…Insufficient studies have been done to diagnose the endothelial function and arterial remodeling in the case of coronary heart disease (CHD), in particular with comorbid hypertension. …”
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The Future of the Psychiatrist by James B. Potash, Alex McClanahan, Jay Davidson, William Butler, Nathan Carroll, Anne Ruble, Mary Yaden, Darlene King, John Torous, Peter P. Zandi, Katherine G. Kennedy, Thomas E. Smith, Arpan Waghray, Robert Trestman, Marketa Wills

“…Conclusions and Relevance to Clinical Practice We will need to handle the most challenging cases: the most psychiatrically complex, medically complex, and treatment‐resistant. …”
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WORK EXPERIENCE INTERNSHIP THROUGH THE EYES OF TECHNICAL UNIVERSITY STUDENTS (ON THE MATERIALS OF SOCIOLOGICAL RESEARCH) by Alexandr Yu. Myagkov, Maria V. Grigorieva, Irina V. Zhuravleva, Svetlana L. Zhuravleva

“…The aim of the investigation is to study the problem of efficiency of work experience internship in a technical university and its role in the education of future professionals (problem has been investigated in the framework of the research project «Monitoring of social well-being and problems of professional adaptation of ISPEU students»).Methods. …”
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Symbolic Neural Architecture Search for Differential Equations by Paulius Sasnauskas, Linas Petkevicius

“…Analytical solutions to differential equations are at the core of fundamental mathematical models, which often cannot be determined analytically because of model complexity or non-linearity. Traditionally, the methods for solving these problems have used hand-designed strategies, numerical methods, or iterative methods. …”
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The interfacial reactions of Mg battery anodes by Xuehong Luo, Ao Shen, Bo Liu, Junjie Wu, Mengbiao Fan, Na Yang, Gaopeng Zhang, Xi Chen, Qingwei Dai

“…Mg batteries have high energy density, economic safety, and environmental friendliness. …”
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On the Challenges of Quantum Circuit Encoding Using Deep and Reinforcement Learning by Patrick Selig, Niall Murphy, David Redmond, Simon Caton

“…However, it is hard to design even simple quantum programs. Recent results have shown that deep learning augmented search has the potential to discover good circuits for a problem, but it is not yet sufficiently understood how well deep learning is able to model such a complex domain: the search space and output space grow exponentially. …”
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Advancements in natural language processing: Implications, challenges, and future directions by Supriyono, Aji Prasetya Wibawa, Suyono, Fachrul Kurniawan

“…The advancements in Natural Language Processing (NLP), namely in transformer-based models and deep learning techniques, have demonstrated considerable potential in improving the precision and consistency of various NLP applications. …”
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HEPATOPROTECTIVE ACTION OF THYMALINUM AND SUSPENSION OF RED BONE MARROW IN TREATING EXPERIMENTAL TOXIC HEPATITIS OF RATS by E. F. Kulbekov, Y. E. Kulbekova

“…On the basis of toxical affection of rats' lever by tetrachloromethane and paracetamol we have studied hepatoprotective activity of thymalinum and suspension of rats' red bone marrow (RBM) and a thymalinum + suspension of RBM complex. …”
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AMCL: supervised contrastive learning with hard sample mining for multi-functional therapeutic peptide prediction by Jiwei Fang, Henghui Fan, Jintao Zhao, Jianping Zhao, Junfeng Xia

“…The field faces challenges such as long-tail distribution problems, data sparsity, and complex label co-occurrence patterns due to peptides’ multi-functional nature. …”
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