User authentication of industrial internet based on HHT transform of mouse behavior by Yigong ZHANG, Qian YI, Jian LI, Congbo LI, Aijun YIN, Shuping YI

“…The rapid development of the industrial internet had caused widespread concern about the network security, and the end-user authentication technology was considered a research hotspot.According to the characteristics of human-computer interaction in industrial internet, an experimental website was designed.24 users' mouse behavior data in an uncontrolled environment were collected within 2.5 years to conduct case studies.Hilbert-Huang transform (HHT) was used to extract frequency domain features of mouse behavior signals, combined with time domain features to form a time-frequency joint domain feature matrix of 163-dimensional to characterize user mouse behavior patterns.Bagged tree, support vector machine (SVM), Boost tree and K-nearest neighbor (KNN) were used to build a user authentication model， and the comparison result showed that the Bagged tree had the best internal detection effect in this case, with an average false acceptance rate (FAR) of 0.12% and an average false rejection rate (FRR) of 0.28%.In external detection, the FAR was 1.47%.Compared with the traditional mouse dynamics method, the frequency domain information of mouse behavior extracted by HHT can better realize the user authentication, and provide technical support the security of the industrial internet.…”
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Surrogate data analyses of the energy landscape analysis of resting-state brain activity by Yuki Hosaka, Takemi Hieda, Ruixiang Li, Kenji Hayashi, Koji Jimura, Teppei Matsui

“…However, many of these techniques are based on momentary temporal correlation and co-activation patterns and merely reflect linear features of the data, suggesting that the dynamic features, such as state-switching, extracted by these techniques may be misinterpreted. …”
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Concrete Spalling Severity Classification Using Image Texture Analysis and a Novel Jellyfish Search Optimized Machine Learning Approach by Nhat-Duc Hoang, Thanh-Canh Huynh, Van-Duc Tran

“…To characterize concrete surface condition, image texture descriptors of statistical measurement of color channels, gray-level run length, and center-symmetric local binary pattern are used. Based on these texture-based features, the support vector machine classifier optimized by the jellyfish search metaheuristic is put forward to construct a decision boundary that partitions the input data into two classes of shallow spalling and deep spalling. …”
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BEST PRACTICE IN ENHANCING SOCIO-EMOTIONAL LEARNING IN PRIMARY SCHOOL THROUGH COMPUTATIONAL THINKING by Antoaneta-Firuţa TACEA, Anişoara DUMITRACHE, Beatrice ALMĂŞAN, Dana MANOLACHE

“…Computational thinking is a structured, cognitive process centered on decomposition, pattern recognition, and algorithm development, which is used for problem solving in a logical and organized manner. …”
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Machine learning framework for investigating nano- and micro-scale particle diffusion in colonic mucus by Marco Tjakra, Kristína Lidayová, Christophe Avenel, Christel A.S. Bergström, Shakhawath Hossain

“…This study presents a machine-learning-driven framework that integrates microrheological features into diffusional fingerprinting to characterize nano- and micro-scale particle diffusion patterns in mucus and assess the effect of mucus microrheology on such movements. …”
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Classifying Emotionally Induced Pain Intensity Using Multimodal Physiological Signals and Subjective Ratings: A Pilot Study by Eun-Hye Jang, Young-Ji Eum, Daesub Yoon, Sangwon Byun

“…SC features emerged as key biomarkers, while valence and arousal offered complementary insights, supporting the development of personalized, psychologically informed pain assessment systems.…”
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Assessment of economic well-being in South Africa based on remote sensing transfer learning by L. Wang, L. Wang, T. Long, T. Long, E. Adam

“…CNNS are trained to predict nighttime light intensity, act as proxies for economic activity, while learning to recognize environmental features. Patterns indicating economic activity and environmental conditions can be identified from daytime images alone. …”
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Hierarchical Embedded System Based on FPGA for Classification of Respiratory Diseases by Trong-Thanh Han, Kien Le Trung, Phuong Nguyen Anh, Anh Do Trung

“…Objectives: This research aims to design and develop a hierarchical embedded system that utilizes respiratory sound features for diagnosing COPD and other respiratory disorders. …”
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Representation of Feminism in Russian Media Space: Authors and Narratives by Nikita A. Argylov, Ksenia A. Khramtsovskaya

“…The aim of the study is to determine the dynamics of authors’ publications and the feminist topic’s development in the Russian media space since 2017, as well as to identify trends in the development of the feminist topic. …”
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A Scene–Object–Economy Framework for Identifying and Validating Urban–Rural Fringe Using Multisource Geospatial Big Data by Ganmin Yin, Ying Feng, Yanxiao Jiang, Yi Bao

“…Furthermore, the integration of dynamic population data as a separate layer of analysis offers a unique perspective on population distribution patterns within the identified fringes. This research contributes to the field by offering a more robust and objective approach to urban–rural fringe identification, laying the groundwork for improved urban management and sustainable development strategies. …”
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Alluvial Fan Fringe Reservoir Architecture Anatomy—A Case Study of the X4-X5 Section of the Xihepu Formation in the Kekeya Oilfield by Baiyi Zhang, Lixin Wang, Yanshu Yin

“…The study focuses on the spatial combination of microfacies units along the profile and their internal distribution patterns. Additionally, a quantitative analysis of the sizes of various types of sand bodies is conducted, constructing the sedimentary model for the region and revealing the control mechanisms of different sedimentary architectures on reservoir properties and oil and gas accumulation patterns. …”
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Deep Learning for the Early Diagnosis of Candidemia by Daniele Roberto Giacobbe, Sabrina Guastavino, Anna Razzetta, Cristina Marelli, Sara Mora, Chiara Russo, Giorgia Brucci, Alessandro Limongelli, Antonio Vena, Malgorzata Mikulska, Alessio Signori, Antonio Di Biagio, Anna Marchese, Ylenia Murgia, Marco Muccio, Nicola Rosso, Michele Piana, Mauro Giacomini, Cristina Campi, Matteo Bassetti

“…Conclusions A deep learning model trained on nonspecific laboratory features showed some discriminatory ability to differentiate candidemia from bacteremia, highlighting the ability of deep learning to exploit complex patterns within nonspecific laboratory data. …”
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In vivo electrophysiology recordings and computational modeling can predict octopus arm movement by Nitish Satya Sai Gedela, Ryan D. Radawiec, Sachin Salim, Julianna Richie, Cynthia Chestek, Anne Draelos, Galit Pelled

“…This study demonstrates how real-time motor behaviors can be predicted and distinguished, contributing to the development of brain-machine interfaces. The ability to accurately model and predict complex movement patterns has broad implications for advancing technologies in robotics, neuroprosthetics, and artificial intelligence, paving the way for more sophisticated and adaptable systems.…”
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The structure of the forensic characteristics of offences under Article 200 of the Criminal Code of Ukraine by L. Ye. Barash

“…This structure is the most optimal one, allowing for a comprehensive analysis of the typical features of the crime mechanism and building its qualitative information model as the basis for further development of the relevant separate forensic methodology.…”
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A Review on Language-Independent Search on Speech and its Applications by Sushil Venkatesh Kulkarni, Sukomal Pal

“…The motivation behind this study stems from the lack of comprehensive reviews on “image and text modalities,” ongoing challenges in the “cross-modal retrieval field,” and the untapped potential of image and text features in cross-modal retrieval development. By exploring state-of-the-art language-independent searches for speech recognition, this study sheds light on sophisticated applications and paves the way for further advancements in the field.…”
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MRI-based anatomical characterisation of lower-limb muscles in older women. by Erica Montefiori, Barbara M Kalkman, William H Henson, Margaret A Paggiosi, Eugene V McCloskey, Claudia Mazzà

“…The ability of muscles to produce force depends, among others, on their anatomical features and it is altered by ageing-associated weakening. …”
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Technical, forensic and organisational aspects of work with Monero cryptocurrency by V. V. Nosov, O. V. Manzhai, V. O. Kovtun

“…Atomic Swaps of XMR are modelled to determine the trace pattern and identify artefacts of increased attention during forensic procedures. …”
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تطبیق نماذج ونظریات سلوکیات البحث عن المعلومات فى الأطروحات الجامعیة العربیة فى مجالات استخدام المعلومات والافادة منها : دراسة تحلیلیة... by د. هانم عبد الرحیم ابراهیم

“…This study has two parts, the first one is an overview of the information seeking behavior: theories and models, including its’ definition, types, and development. It also compares between them to indicate their various features. …”
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Linking diversity and distribution to understand biodiversity gradients and inform conservation assessments by Fabricio Villalobos

“…<p>Broad-scale patterns of species richness result from differential coexistence among species in distinct regions of the globe, determined by the species’ ranges and their properties such as size, shape and location. …”
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Exploring the relationship between characteristics of forest stands and the behaviour of Lymantria dispar (Lepidoptera: Erebidae) from a temporal and spatial perspective by Flavius BĂLĂCENOIU, Dragoș TOMA, Constantin NEȚOIU

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