Unveiling smart contract vulnerabilities: Toward profiling smart contract vulnerabilities using enhanced genetic algorithm and generating benchmark dataset by Sepideh HajiHosseinKhani, Arash Habibi Lashkari, Ali Mizani Oskui

“…Many of them, such as rule-based methods, machine learning techniques, and neural networks, also struggle to detect complex vulnerabilities due to limited data availability. …”
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Enhancing confidence and skills in ultrasound-guided IV access: a quality improvement project by Elpis Pola, Muhammad Dawood Sohail, Tariro Chikwanha

“…Each session included: • Didactic teaching: a presentation covering ultrasound principles, machine operation and IV cannulation techniques. • Hands-on training: supervised practice using ultrasound models to develop technical skills.Participants completed pre- and post-training questionnaires using a Likert scale to measure confidence in: 1. …”
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SARE: an optimized method for detection functional regulatory elements in genome by Mohammadjavad Hosseinpoor

“…Additionally, benchmarking against machine learning-based approaches will establish its position as a robust tool in genomic research.…”
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Neural network based active control of base isolated structure considering isolator nonlinearity by Nour Elhouda Ghanemi, Mahdi Abdeddaim, Abdelhafid Ounis, Michela Basili

“…Simultaneously, artificial intelligence (AI), particularly machine learning algorithms, has opened new frontiers in structural control.MethodsThis study proposes a novel AI-based approach for structures equipped with nonlinear base isolation and an ATMD. …”
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Development of a low priming volume hydrodynamic test bench for isolated ex vivo perfusion of small animal lungs by O. Yu. Esipova, A. P. Kuleshov, V. K. Bogdanov, A. S. Esipov, E. A. Volkova, N. V. Grudinin

“…Objective: to develop and validate a hydrodynamic test bench (HTB) with a small filling volume for ex vivo normothermic machine perfusion (NMP) of donor lungs of small experimental animals (rats) using the open- loop technique.Materials and methods. …”
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A BERT-Based Classification Model: The Case of Russian Fairy Tales by Валерий Дмитриевич Соловьев, Марина Ивановна Солнышкина, Andrey Ten, Николай Аркадиевич Прокопьев

“… Introduction: Automatic profiling and genre classification are crucial for text suitability assessment and as such have been in high demand in education, information retrieval, sentiment analysis, and machine translation for over a decade. Of all kinds of genres, fairy tales make one of the most challenging and valuable objects of study due to its heterogeneity and a wide range of implicit idiosyncrasies. …”
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EXPERIMENTAL DETERMINATION OF CUTTING RESISTANCE STRENGTH AT ASPHALT CONCRETE DESTRUCTION WITH A SINGLE CUTTING ELEMENT by D. V. Furmanov, V. S. Chizhov, N. E. Lysakov

“…The objective of the study of the interaction of a single cutting element of a road mill with a material at the best fit of speed and geometric parameters of a cutting process with real machines is solved.Materials and methods. …”
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Structure and microwave dielectric characteristics of (Ba,Sr,Ca)HfO3 ceramics by Xi Wang, Yi Han Ding, Xiao Li Zhu, Lei Li, Xiang Ming Chen

“…Progresses in this research field would not only deepen our understanding of mechanism of regulating properties in multi-ion solid solutions, but also boost the developments of closely related fields such as machine learning-assisted design and high-entropy ceramics. …”
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Advanced Detection of Violence From Video: Performance Evaluation of Transformer and State of the Art of Convolution of Neural Network Transformer by Abdulrahman Alshalawi, Wadood Abdul, Ghulam Muhammad

“…The performance of these systems is highly dependent on the models they incorporate. Although various machine learning and deep learning models have been explored to address these challenges, significant work remains in handling a diverse range of images. …”
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Hypothermic oxygenated perfusion in liver transplantation from expanded criteria donors by A. V. Shabunin, O. B. Loran, D. Yu. Pushkar, E. I. Veliev, M. G. Minina, P. A. Drozdov, S. A. Astapovich, E. A. Lidzhieva

“…Objective: to improve the outcomes of liver transplantation (LTx) from expanded criteria donors (ECDs) through hypothermic oxygenated machine perfusion (HOPE).Material and methods. The study included 63 cases of LTx from suboptimal brain-dead donors. …”
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Integrated single-cell and bulk transcriptomic analysis identifies a novel macrophage subtype associated with poor prognosis in breast cancer by Qing Wang, Yushuai Yu, Liqiong Ruan, Mingyao Huang, Wei Chen, Xiaomei Sun, Jun Liu, Zirong Jiang

“…Utilizing the MetaTiME computational framework and consensus clustering, we identified distinct TAM subtypes and assessed their associations with clinical outcomes and treatment responses. A machine learning-based predictive model was developed to evaluate the prognostic significance of TAM-related gene expression profiles. …”
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A Dynamic Modeling Approach: Simplifying DFIG Theory, Simulation, and Analysis by Mehmet Dal, Ralph M. Kennel

“…It is a flux-based model that allows for change in the parameters of the DFIG online and can be used only for grid-connected operations under control. …”
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COMBINED PLASMA FILTRATION, SELECTIVE ADSORPTION OF CYTOKINES WITH HEMOFILTRATION AND PLASMA EXCHANGE IN THE CORRECTION OF PLATELET AND COAGULATION HEMOSTASIS IN PATIENTS WITH THE... by L. V. Belskikh, A. B. Zulkarnaev, I. A. Vasilenko, A. V. Vatazin

“…In 5 (20%) patients the normalization of average platelets morphometric parameters was shown after selective sorption of cytokines with hemofiltration and plasmapheresis. …”
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Handwritten Urdu Characters and Digits Recognition Using Transfer Learning and Augmentation With AlexNet by Aqsa Rasheed, Nouman Ali, Bushra Zafar, Amsa Shabbir, Muhammad Sajid, Muhammad Tariq Mahmood

“…We have fine-tuned AlexNet hyper-parameters to achieve higher accuracy and data augmentation is performed to avoid over-fitting. …”
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Impact of unanticipated and backhand area smash landing on the lower limb biomechanics of female badminton players by Zhanyang He, Zeqi Fang, Haoxiang Ye, Sujing Su

“…Unanticipated tasks were conducted by having the athletes perform a random number of specific badminton corner drills, followed by a random movement command given by a signboard and a shuttlecock being launched towards the left half-court by a machine. Waveform analysis was performed using Statistical Parametric Mapping, and discrete parameters were analyzed using a 2 × 2 repeated measures ANOVA.ResultsThe results indicated that under unanticipated conditions, both BRJS and BLJS led to higher vertical instantaneous load rates (p = 0.003, ηp2 = 0.314) and knee extension moments (p = 0.013, ηp2 = 0.231) at initial contact (IC). …”
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Diet-Specific Multi-Omics Markers Associated with Metabolic Health Benefits Can Be Determined in Vegan Population by Anna Ouradova, Monika Cahova, Jan Gojda, Alessio Naccarati, Giulio Ferrero, Marina Henikova, Tooba Asif

“…Using a machine learning approach, we were able to discriminate between vegans and omnivores based on separate omics datasets, regardless of country of origin. …”
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ACCELERATED SYNERGISM ALONG A FAULT: A POSSIBLE INDICATOR FOR AN IMPENDING MAJOR EARTHQUAKE by Ma Jin, Guo Yanshuang, S. I. Sherman

“…By comparison of the observational information from the press machine and physical parameters of the fields on the sample, this work reveals differences of temporal-spatial evolution processes of fault stress in the stages of stress deviating from linearity and meta-instability. …”
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Deep Learning-Based Coding Strategy for Improved Cochlear Implant Speech Perception in Noisy Environments by Billel Essaid, Hamza Kheddar, Noureddine Batel, Muhammad E. H. Chowdhury

“…Automatic speech recognition (ASR) and speech enhancement are essential tools in modern life, aiding not only in machine interaction but also in supporting individuals with hearing impairments. …”
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Modification of surface and subsurface properties of cold-rolled Ti6Al4V sheets through water jet shot peening by Egemen Avcu, Mustafa Armağan, Yasemin Yıldıran Avcu, Eray Abakay, Emirhan Çalım, Funda Gül Koç, Mert Guney, Rıdvan Yamanoğlu

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Development of an Intelligent Method for Target Tracking in Radar Systems at the Initial Stage of Operation Under Intentional Jamming Conditions by Serhii Semenov, Olga Wasiuta, Alla Jammine, Justyna Golec, Magdalena Krupska-Klimczak, Yevhen Tarasenko, Vitalii Voronets, Vitalii Breslavets, Serhii Lvov, Artem Moskalenko

“…The novelty of the approach lies in integrating stochastic modeling, machine learning, and classical filtering into a unified adaptive loop. …”
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