Adaptive malware identification via integrated SimCLR and GRU networks by Faisal S. Alsubaei, Abdulwahab Ali Almazroi, Walid Said Atwa, Abdulaleem Ali Almazroi, Nasir Ayub, N. Z. Jhanjhi

“…To this end, we introduce SimCLR-GRU, a novel ensemble architecture that integrates SimCLR-based contrastive learning for feature extraction and a GRU module to capture sequential behavioural patterns. …”
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Investigation on the motion and fragmentation mechanism of rockfall based on PIV-seismic signal monitoring by Sui Zhende, Zhang Ke, Zhang Kai, Lin Qibin

“…Consequently, in subsequent optimization design of engineering protection structures, greater attention should be paid to the effects of particle size distribution resulting from rockfall fragmentation and the patterns governing high-frequency energy release. This necessitates strengthening research and development on devices specifically aimed at absorbing and dissipating high-frequency energy to ensure enhanced safety and reliability of the protective system in practical applications.ConclusionsParticle Image Velocimetry (PIV) successfully reconstructs the complex movement trajectories and velocity fields of rock blocks during collapse, highlighting the distinct non-linear dynamic behaviors (e.g., sliding, rolling, bouncing) of fragments, particularly smaller ones. …”
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Organizing nutrition of schoolchildren: problems and solutions by N. V. Tapeshkina, L. P. Pochueva, O. P. Vlasova

“…This may be associated with low socioeconomic status or inappropriate food consumption pattern, additionally affected by regional features. …”
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Non-invasive respiratory support in patients with severe community-acquired pneumonia by S. V. Korotchenko, D. I. Korabelnikov

“…However, after the analysis of the published studies it was noted that the pathophysiology of the development of ARF in COVID-19 had features that determine the atypical clinical pattern – “silent hypoxemia”. …”
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Service Marketing Analysis Of Movies As Unique Service-Products by Horváth Ádám, Gyenge Balázs

“…One of the features of films compared to other cultural products is the possibility of their use for advertising and information activities and influence on the formation of needs and audience preferences, as well as different patterns of consumer behavior. …”
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Using 3D observations with high spatio-temporal resolution to calibrate and evaluate a process-focused cellular automaton model of soil erosion by water by A. Eltner, D. Favis-Mortlock, O. Grothum, M. Neumann, T. Laburda, P. Kavka

“…</p> <p>These results underscore the need for more nuanced evaluation of erosion models, e.g. by incorporating spatial-pattern comparison techniques to provide a deeper understanding of the model's capabilities. …”
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Acoustic cues for person identification using cough sounds by Van-Thuan Tran, Ting-Hao You, Wei-Ho Tsai

“…The proposed architecture, CoughCueNet, is a convolutional recurrent neural network designed to capture both spatial and temporal patterns in cough sounds. The training process incorporates a hybrid loss function that combines supervised contrastive (SC) learning and cross-entropy (CE) loss to enhance feature discrimination. …”
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The effectiveness of automatic laparoscopic diagnostics of liver pathology using different methods of digital images classification by D. N. Bayazitov, N. V. Kresyun, А. B. Buzinovsky

“…Aim: to evaluate the effectiveness of the CAD systems developed on the basis of two classifiers – HAAR features cascade and AdaBoost for the detection of cirrhotic and metastatic damages of the liver. …”
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Speech Competencies in Russian-Speaking Monolinguals of the Tyva Republic in the Context of Tuvan-Russian Bilingualism by Evgeny Y. Litskevich

“…Language acquisition, especially when it is the second language, follows psychological rather than linguistic patterns, e.g., assimilation and imitation. In this research, we made an attempt to study the individual psychological features of speech as a higher mental function. …”

Left-ventricular geometry in young persons with connective tissue dysplasia by M. I. Shupina, Yu. V. Tereschenko, G. I. Nechaeva, V. V. Potapov, A. S. Semenkin

“…At the same time, the heart undergoes dynamics from a truly small (asthenic variant) to a thoracodiaphragmatic pulmonary heart (pseudoconstrictive, pseudodilation and false-stenotic variants), from the state of adaptation to the stage of decompensation.It is indicated that when solving expert questions in adolescents and young people with CTD, a clinical interpretation of the results of a standard echocardiographic study by cardiologists and general practitioners should be carried out, paying attention not only to the development of the fibrous skeleton and associated valve and subvalvular structures, interstitial tissue disorders symmetries with the development of asymmetric left ventricular hypertrophy, intraventricular and intraatrial developmental abnormalities («extra» chords, etc.), but it is necessary to take into account the constitutional features of patients and the geometric pattern of the left ventricle, which is very important in terms of prognosis.…”
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Phenotypic plasticity evolves at multiple biological levels in response to environmental predictability in a long-term experiment with a halotolerant microalga. by Christelle Leung, Daphné Grulois, Leandro Quadrana, Luis-Miguel Chevin

“…Phenotypic plasticity, the change in the phenotype of a given genotype in response to its environment of development, is a ubiquitous feature of life, enabling organisms to cope with variation in their environment. …”
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Using machine learning to identify Parkinson’s disease severity subtypes with multimodal data by Hwayoung Park, Changhong Youm, Sang-Myung Cheon, Bohyun Kim, Hyejin Choi, Juseon Hwang, Minsoo Kim

“…Results We identified three PD severity subtypes, each exhibiting different patterns of clinical severity, with the severity increasing as it progressed from clusters 1 to 3. …”
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Novel deep neural network architecture fusion to simultaneously predict short-term and long-term energy consumption. by Abrar Ahmed, Safdar Ali, Ali Raza, Ibrar Hussain, Ahmad Bilal, Norma Latif Fitriyani, Yeonghyeon Gu, Muhammad Syafrudin

“…Energy is integral to the socio-economic development of every country. This development leads to a rapid increase in the demand for energy consumption. …”
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HISTORICAL, FAUNISTIC AND ZOOGEOGRAPHICAL CHARACTERISTIC OF MAMMALS OF THE CAUCASUS by G. M. Abdurakhmanov, A. M. Batkhiev

“…Such a methodological approach allows us to explain many features of modern zoogeographic Caucasus theriofauna, not amenable to scientific explanation from the perspective of modern geographical situation.Results. …”
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Exploring the association between gender equality in the family and fertility intentions: an explanation of the findings in low-fertility countries by Victor Leocádio, Ana Paula Verona, Simone Wajnman

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TBM shield mud cake prediction model based on machine learning by Qi Zhang, Peng Xu, Jing Zhang, Zhao Yang, Yu Li, Xintong Kong, Xiao Yuan

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CAPSE-ViT: A Lightweight Framework for Underwater Acoustic Vessel Classification Using Coherent Spectral Estimation and Modified Vision Transformer by Najamuddin NAJAMUDDIN, Usman Ullah SHEIKH, Ahmad Zuri SHA’AMERI

“…The major challenge is inserting area-specific understanding into ML frameworks to extract features that effectively distinguish between different vessel types. …”
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THE HUNGARIAN FOOTWEAR INDUSTRY IN GLOBAL PRODUCTION NETWORKS: THE CASE STUDY OF BERKEMANN HUNGARY by ERNŐ MOLNÁR, ISTVÁN MÁTÉ LENGYEL

“…Sector-level assessment of the processes – including the changing geographical patterns of footwear industry which also indicate features of path-dependence – was performed in several previous works of the authors. …”
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Detecting heavy trucks from mobile phone trajectories using image-based behavioral representations and deep learning models by Franco Basso, Félix des Rotours, Tomás Maldonado, Raúl Pezoa, Mauricio Varas

“…By employing Call Detail Records (CDR) and introducing an image-inspired architecture, the study uses Convolutional Neural Networks (CNN) to model the microscopic behavioral patterns of mobile devices. Our numerical results show that our proposed approach outperforms more classical machine learning methods that rely only on aggregated features. …”
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No genetic structure detected in multiple Brazilian marine fish species by Julia Tovar Verba, Adam Stow, Priscila F. M. Lopes, Maria Grazia Pennino, Antonio Sole-Cava, Sergio Maia Queiroz Lima

“…Consequently, identifying evolutionarily significant genetic lineages within exploited species can benefit the development of conservation management strategies. With the absence of genetic data life history traits are sometimes assumed to be good predictors of genetic patterns in natural populations. …”
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