Survey on automated vulnerability mining techniques for IoT device firmware by LIU Hangtian, GAN Shuitao, ZHANG Chao, ZHANG Hongqi, SUN Wenhou, GAO Zicong, ZHAO Min, BAI Xue

“…The security analysis of IoT device firmware has been conducted, with a focus on its black-box nature, network characteristics, and customization features. …”
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Investigating the diversity and stylization of contemporary user generated visual arts in the complexity entropy plane by Seunghwan Kim, Byunghwee Lee, Wonjae Lee

“…Informatizing 149,780 images curated on the DeviantArt and Bēhance platforms from 2010 to 2020, we analyze the relationship between local information in the C-H space and multi-level image features generated by a deep neural network and a feature extraction algorithm. …”
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Regional dynamics and mechanisms behind SARS-CoV-2 XDV.1 prevalence in Chongqing via genomic surveillance and molecular insights by Jin Yan, Fangyuan Liu, Sihan Hu, Junyi Pan, Qi Yan, Lu Yao, Huhao Jin, Xiaofeng Chen, Jiuhong He

“…XDV.1 exhibits structural features suggestive of potential immune evasion mechanisms, including conformational shifts and novel hydrogen-bond networks that could interfere with antibody recognition. …”
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A Simple Predictive Enhancer Syntax for Hindbrain Patterning Is Conserved in Vertebrate Genomes. by Joseph Grice, Boris Noyvert, Laura Doglio, Greg Elgar

“…<h4>Background</h4>Determining the function of regulatory elements is fundamental for our understanding of development, disease and evolution. However, the sequence features that mediate these functions are often unclear and the prediction of tissue-specific expression patterns from sequence alone is non-trivial. …”
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FREEDOM FRANCHISING AS AN ALTERNATIVE TO THE CLASSIC FRANCHISING by L. A. Solovova

“…The aim of the article is to systemize and enrich the knowledge in the sphere of the franchising model evolution. The author’s task was to identify the key features of the freedom franchising model, to compare the freedom franchising with classic franchising and to formulate the conditions under which the freedom franchising model can be developed. …”
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Robust genetic codes enhance protein evolvability. by Hana Rozhoňová, Carlos Martí-Gómez, David M McCandlish, Joshua L Payne

“…By constructing low-dimensional visualizations of these landscapes, which each comprise more than 16 million mRNA sequences, we show that such alternative codes radically alter the topological features of the network of high-fitness genotypes. …”
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An Interpretable Implicit-Based Approach for Modeling Local Spatial Effects: A Case Study of Global Gross Primary Productivity Estimation by S. Du, H. Huang, K. Shen, Z. Liu, S. Tang

“…While approaches like Geographically Weighted Regression (GWR) capture local variations, they fall short of uncovering global patterns and tracking the continuous evolution of spatial heterogeneity. Motivated by this limitation, we propose a novel perspective&mdash;that is, simultaneously modeling common features across different locations alongside spatial differences using deep neural networks. …”
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Af-CAN: Multimodal Emotion Recognition Method Based on Situational Attention Mechanism by Xue Zhang, Mingjiang Wang, Xiao Zeng, Xuyi Zhuang

“…Based on the current research status and challenges such as inadequate extraction of contextual emotional dynamic features and data scarcity, a multimodal emotion recognition method called Attention-based Fusion Contextual Attention Network (Af-CAN) has been proposed to break through these limitations. …”
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Morphometric and Morphotectonic characteristics of Sürgü and Çardak Faults (East Anatolian Fault Zone) by Musa Balkaya, Hüsnü Serdar Akyüz, Suha Ozden

“…Further, the results obtained with morphotectonic assessments supported and fortified with a thorough literature review and field studies; thereby, geological features of the region have been analyzed immaculately. …”
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Text Mining for Consumers’ Sentiment Tendency and Strategies for Promoting Cross-Border E-Commerce Marketing Using Consumers’ Online Review Data by Changting Liu, Tao Chen, Qiang Pu, Ying Jin

“…The research employs Python tools (Jupyter Notebook 7.0.8) to analyze the 14,078 pieces of review text data from the top four best-selling products in a certain product category on a certain cross-border e-commerce platform. By applying social network analysis, constructing LDA (Latent Dirichlet Allocation) topic models, and establishing LSTM (Long Short-Term Memory) sentiment classification models, the topics and sentiment distribution of the review set are obtained, and the evolution trends of topics and sentiments are analyzed according to different periods. …”
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Topology Unveiled: A New Horizon for Economic and Financial Modeling by Yicheng Wei, Junzo Watada, Zijin Wang

“…Given that the introduction of topology to economics is relatively new and presents features of being fragmented and non-systematic, this review aimed to provide scholars with a systematic evolution map to refine the characteristics of topology as a methodology applied in economics and finance, thereby aiding future potential interdisciplinary developments in these fields. …”
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Science of science by S. Fortunato, C. T. Bergstrom, K. Börner, J. A. Evans, D. Helbing, S. Milojević, A. M. Petersen, F. Radicchi, R. Sinatra, B. Uzzi, A. Vespignani, L. Waltman, D. Wang, A.-L. Barabási

“…This representation has unveiled patterns characterizing the emergence of new scientific fields through the study of collaboration networks and the path of impactful discoveries through the study of citation networks. …”
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DIRECT INVERSION OF RAYLEIGH WAVE GROUP VELOCITY DISPERSION FOR 3D CRUSTAL SHEAR WAVE VELOCITY STRUCTURE IN THAILAND, MYANMAR, AND MALAYSIA by K. Saetang, W. Srisawat

“…This study presents a comprehensive investigation of the crustal structure in Thailand, Myanmar, and Malaysia using Rayleigh wave dispersion data from a dense network of 49 seismic stations. A direct inversion approach is employed to derive a high-resolution, 3D shear wave velocity model of the crust, circumventing the traditional intermediate step of constructing group velocity maps. …”
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CSK based on Priority Call Algorithm for Detection and Securing Platoon from Inside Attacks by Mohammed Al Sheıkhly, Sefer Kurnaz

“…The emergence of autonomous vehicles has bolstered the evolution of platooning as a trend in mobility and transportation. …”
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Microcosm of Ecologic Taxation in Russia by N. A. Zatsarnaya

“…The key part in microcosm being studied is assigned not to economic entities and administrative agents but to the network of interrelations, tools and control levers integrating them. …”
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Stateless Malware Packet Detection by Incorporating Naive Bayes with Known Malware Signatures by Ismahani Ismail, Sulaiman Mohd Nor, Muhammad Nadzir Marsono

“…Malware detection done at the network infrastructure level is still an open research problem ,considering the evolution of malwares and high detection accuracy needed to detect these threats. …”
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Attention-Module-Guided Time-Lapse Leakage Plume Imaging Driven by LeakInv-CUNet GPR Inversion Framework by Honghua Wang, Shan Wang, Fei Zhou, Yi Lei, Bin Zhang

“…This paper develops LeakInv-CUNet, a novel attention-guided GPR inversion framework, to enable refined imaging of leakage plumes and their temporal-spatial evolution. To enhance network training, extensive GPR datasets are generated by augmenting simulated data and experimentally measured data, accounting for variations in injection orientation, plume dynamics, and subsurface media properties. …”
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Evaluating the Performance of a Fake News Model on A Domain-Specific and Heterogeneous Dataset to Improve Detection by Georgina Obuandike, Emmy Danny Ajik, Faith Oluwatosin Echobu

“… The rapid evolution of technology and the digital age has led to an increase in the spread of fake news, severely undermining the accuracy of information. …”
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Formalization for Subsequent Computer Processing of Kara Sea Coastline Data by Daria Bogatova, Stanislav Ogorodov

“…By continually refining neural network models with these datasets, we can improve our understanding of the complex interactions between natural factors and shoreline evolution, ultimately aiding in developing effective coastal management strategies.…”
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Real-Time Monitoring and Simulation of Multi-User Electricity Metering Anomaly Data Based on Distributed System by Kai Liu, Xuchao Jia, Junlong Wang, Xun Ma, Jiadong Li

“…The framework facilitates the extraction of features from multi-source data, generated by users&#x2019; electricity consumption behavior, via VAE, while LSTM conducts a meticulous time-series analysis of these features to enable high-precision anomaly detection in complex datasets. …”
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