Design of Intrusion Detection and Response Mechanism for Power Grid SCADA Based on Improved LSTM and FNN by Yu Huang, Liangyuan Su

“…The current behavior pattern extraction methods in intrusion detection systems cannot fully extract information. …”
Get full text

Spatial analysis of femtosecond laser generated plasma using principal component analysis by James A. Grant-Jacob, Michalis N. Zervas, Ben Mills

“…Abstract The appearance of plasma generated during femtosecond laser machining depends strongly on the features present on the sample before machining occurs. …”
Get full text

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

“…Further exploration of candidemia prediction using laboratory features through machine learning techniques remains a promising area of research, serving as a valuable complement to the development of large-scale models that also incorporate clinical features.…”
Get full text

The Assessment Tools and Influencing Factors of Insomnia in Chinese Adolescents: a Scoping Review by YU Yuemin, MO Feifei, LI Lesi, PAN Jiyang

“…Only 1 study provided objectively measured sleep features. Three studies involved localized assessment or development of 5 self-report tools, and provided reliability and validity data. …”
Get full text

CELLULAR GENOME IN PATHOGENESIS OF BASIC DISEASES IN HUMANS (ATHEROSCLEROSIS, AUTOIMMUNE DISEASES, CANCER) by V. A. Kozlov

“…First of all, it concerns epigenetic regulatory mechanisms of gene expression that show virtually identical patterns of changes, i.e., total hypomethylation and reversible hypermethylation of distinct genes. …”
Get full text

Cultivating big data talent by combing various disciplines and utilizing multiple resources by Libo WU

“…Rapid development of big data science and technology put forward great challenges to talent cultivation.Data scientist should have the capability of coax commercial value from tremendous data and require multi-disciplinary training.Based on the progress and demand of cultivating big data talent,the patlerns of cultivation big data talent by combing various disciplines and utilizing multiple resources were discussed.In the patterns of talent cultivation,core knowledge system should be built and the basis of innovation capability should be solid.The talent cultivation should have data resource.Therefore,breaking through the data open barriers of government,private firms and universities and providing real world data is essential for talent education.To strengthen the interdisciplinary features,talent cultivation should remove the barriers of disciplines and build up systematic standards through the teaching,internship,graduate and evaluation.…”
Get full text

The Time-Space Regimes of Human Mobility in the North Atlantic Island Spaces (Iceland, Azores, Madeira, the Canary Islands, and Cape Verde) by Luis Manuel Jerez-Darias, Josefina Domínguez-Mujica

“…To this end, it is necessary to recognise the rhythms of the migration transition and its parallelism with the socio-economic development of the island spaces themselves. In addition, common features can be identified in their recent migration patterns in which a great diversification of origins and destinations predominates, as well as a multiplicity of motivations. …”
Get full text

Coastal Storm – Surge Combination Risk Identification and Resilience Planning Based on Supply and Demand Assessment of Flood Regulation Ecosystem Services: A Case Study of Fujian D... by Jian TIAN, Tianyu XIU, Suiping ZENG

“…For medium risk–ecological improvement zones (e.g., Jimei District, Xiangcheng District), the focus should be on harmonizing urban – rural ecological patterns through the strategic use of natural topographical features as buffer barriers, adopting mixed land-use approaches to curb urban sprawl, and upgrading eco-oriented infrastructure networks. …”
Get full text

Historiography of Book Distribution in Siberian-Far Eastern Region (Soviet, Post-Soviet Periods) by O. N. Alshevskaya

“…The relevance and importance of the conducted historiographical analysis are determined, on the one hand, by the insufficient theoretical elaboration of the topic, the lack of fundamental research, in general, the importance of a comprehensive generalization and analysis of disparate and fragmentary general and applied research and materials; on the other hand, the need to identify patterns and features, problems and trends in the development of book distribution, due to its important role in the promotion of the book and reading, in the development of infrastructure for reading the region and the country as a whole. …”
Get full text

The Unknown Heritage of the Russian City Economic Geography (about the book ‘The Industrial Geography of St. Petersburg’ by V.V. Pokshishevsky) by Mikhail Ivanovich Amosov

“…As a result, the scientist made fundamental conclusions about the geographical patterns of the industrial placement, the development of transport, trade and logistics infrastructures, as well as the city planning and development. …”
Get full text

Sedimentary Model of Sublacustrine Fans in the Shahejie Formation, Nanpu Sag by Zhen Wang, Zhihui Ma, Lingjian Meng, Rongchao Yang, Hongqi Yuan, Xuntao Yu, Chunbo He, Haiguang Wu

“…Inverse fault-step architectures formed by underlying faults control sandbody distribution patterns, restricting primary deposition locations for sublacustrine fan development. …”
Get full text

A Novel Deep Learning Model for Motor Imagery Classification in Brain–Computer Interfaces by Wenhui Chen, Shunwu Xu, Qingqing Hu, Yiran Peng, Hong Zhang, Jian Zhang, Zhaowen Chen

“…The proposed method includes a Dual-Branch Feature Extraction Module designed to capture both temporal features and spatial patterns across different scales. …”
Get full text

Calculation and Experimental Study of the Dynamics of the Track Mover Bypass of a Cross-Country Transport Vehicle by Alexey I. Taratorkin, Sergey V. Abdulov, Viktor B. Derzhanskii, Alexandr A. Volkov, Evgeniy B. Sarach, Alexandr I. Komissarov

“…Thus, based on the results of the studies, the features of dynamic processes in the track mover were established, the main patterns of the formation process of transverse oscillations, their dependence on the design parameters of the bypass and various operational factors were revealed.…”
Get full text

A hybrid bio-inspired augmented with hyper-parameter deep learning model for brain tumor classification by Morolake Oladayo Lawrence

“…The CNN model is adjusted for different convolutional layers and fully connected layers to identify patterns and features in brain tumor pictures using an enhanced salp swarm algorithm (SSA) with kernel extreme learning machine (KELM). …”
Get full text

Initial Stages of Electrocrystallization of Coatings with Tin and Tin-Copper and Tin-Copper-Ultradisperse Diamond Alloys by I. I. Kuzmar, D. Y. Gulpa, L. K. Kushner

“…The need of modern microelectronics in the development of technological processes for the formation of nanostructured layers puts forward the necessity of understanding the mechanisms of nucleation and growth of deposits. …”
Get full text

A Multi-Scale Time–Frequency Complementary Load Forecasting Method for Integrated Energy Systems by Enci Jiang, Ziyi Wang, Shanshan Jiang

“…This study proposes ST-ScaleFusion, a multi-scale time–frequency complementary hybrid model to enhance comprehensive energy load forecasting accuracy. The model features three core modules: a multi-scale decomposition hybrid module for fine-grained extraction of multi-time-scale features via hierarchical down-sampling and seasonal-trend decoupling; a frequency domain interpolation forecasting (FI) module using complex linear projection for amplitude-phase joint modeling to capture long-term patterns and suppress noise; and an FI sub-module extending series length via frequency domain interpolation to adapt to non-stationary loads. …”
Get full text

Histogram-based gradient boosting machine with SHAP-driven interpretability for predicting intensity of urban heat Island effect by Nhat-Duc Hoang

Get full text

49, XXXYY: Parental Origin, Occurrence, and Clinical Phenotypes by Yufang Du, Liangrong Liao, Xianda Wei, Yunting Ma, Meizhen Shi, Chunyan Li, Juliang Liu, Wenting Lin, Hao Zeng, Shaoke Chen, Baoheng Gui

“…The patient exhibited a karyotype of 49, XXXYY without any mosaic patterns. No pathogenic microdeletions or microduplications (> 100 kb) were identified in autosomes 1–22. …”
Get full text

Subject and Current Problems of Theolinguistic Research in World Religious Studies by Aliya Kusherbayeva, Ainura Kurmanaliyeva

“…The purpose of this study was to identify the linguistic features of these texts that influence religious communication, the formation of spiritual beliefs and behavioural patterns of believers. …”
Get full text

Named Entity Recognition in Bengali by Asif Ekbal, Sivaji Bandyopadhyay

“…Lexical context patterns, generated from an unlabeled corpus of 3 million wordforms in a semi-automatic way, have been used as the features of the classifiers in order to improve their performance. …”
Get full text