Adaptive Anomaly Detection Framework Model Objects in Cyberspace by Hasan Alkahtani, Theyazn H. H. Aldhyani, Mohammed Al-Yaari

“…The information gain method was applied to select the relevant features from the network dataset. These network features were significant to improve the classification algorithm. …”
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Generation of diverse biological forms through combinatorial interactions between tissue polarity and growth. by Richard Kennaway, Enrico Coen, Amelia Green, Andrew Bangham

“…This constraint leads to the emergence of features such as curvature that were not directly specified by the regulatory networks. …”
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Analysis Components of the Digital Consumer Behavior in Romania by Cristian Bogdan Onete, Ioana Teodorescu, Viorel Vasile

“…This article is investigating the Romanian consumer behavior in the context of the evolution of the online shopping. Given that online stores are a profitable business model in the area of electronic commerce and because the relationship between consumer digital Romania and its decision to purchase products or services on the Internet has not been sufficiently explored, this study aims to identify specific features of the new type of consumer and to examine the level of online shopping in Romania. …”
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Genetic Structure of the Cave-Dwelling Catfish <i>Pterocryptis anomala</i> (Siluriformes: Siluridae) in Southwest China by Renrong Huang, Jinmei Chen, Hongmei Li, Huan Cheng, Renyi Zhang

“…Additionally, geographical features such as the Nanling Mountains and the two major river systems may have obstructed gene flow, leading to genetic differentiation. …”
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The Foreign Policy Mechanism of the Union Of South Africa and the Development of its Diplomatic Relations (1910–1948) by ARKHANGELSKAYA Alexandra Alexandrovna

“…The political and economic evolution of the Union of South Africa has some specific features arising from specific historical conditions. …”
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Funneled potential and flux landscapes dictate the stabilities of both the states and the flow: Fission yeast cell cycle. by Xiaosheng Luo, Liufang Xu, Bo Han, Jin Wang

“…Using fission yeast cell cycle as an example, we uncovered that the non-equilibrium network dynamics and global properties are determined by two essential features: the potential landscape and the flux landscape. …”
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Smart Grid Protection, Automation and Control: Challenges and Opportunities by Sergio Rubio, Santiago Bogarra, Marco Nunes, Xavier Gomez

“…This article focuses on redefining the features of traditional and modern P&C systems, Centralized Protection Automation and Control (CPAC), and VPAC, focusing on the integration of Intelligent Electronic Devices (IEDs) with secure communication that is time-effective in the centralized distribution of power and prevention of network vulnerability. …”
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Integrating Fine-Grained Classification and Motion Relation Analysis for Face Anti-Spoofing by Ziyang Cheng, Xiafen Zhang

“…Finally, we construct a simple feature fusion network that combines the features of MCAN and FGCN to generate the final classification results. …”
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Use of Socio-economic, Climatic, and Land use Land Cover Patterns in Solid Waste Forecasting with Integrated Gradient LSTNet Based Model in Lomé, Togo by Kanlanféi Sambiani, Yendoubé Lare, Adamou Zanguina, Satyanarayana Narra

“…This study aimed to develop a new approach of Integrated Gradient Long- and Short-term Time series Network (LSTNet+IG)-based models, assess the baseline neural network models, and provide features influences explanation on MSW generation by using socio-economic, climatic, and Land Use Land Cover (LULC) patterns. …”
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Trait dissociation in borderline personality disorder: influence on immediate therapy outcomes, follow-up assessments, and self-harm patterns by Ana Macchia, David Mikusky, Cedric Sachser, Annabel Sandra Mueller-Stierlin, Sandra Nickel, Niklas Sanhüter, Birgit Abler

“…Background: Dissociative symptoms are suggested to compete with the effectiveness of psychotherapeutic treatment and frequently co-occur with early life trauma and self-harm patterns, including self-injury, suicidal ideation, and suicide attempts, which are characteristic for borderline personality disorder (BPD).Objective: We explore the connections between dissociation and other BPD features like self-harm and childhood traumatization and examine the impact of trait dissociation on both immediate and follow-up psychotherapy outcomes.Method: In this naturalistic prospective evaluation study, we investigated psychopathology including general psychological distress (SCL-90), depression (BDI-II), and borderline-specific pathology (BSL) in 131 patients with BPD pre and post of a certified 8-week inpatient Dialectical Behaviour Therapy (DBT), as well as 3- and 6-month post inpatient treatment. …”
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Using Social Media to Disseminate Behavior Change Interventions: Scoping Review of Systematic Reviews by Porooshat Dadgostar, Qiuyuan Qin, Suiyue Cui, Laura Ellen Ashcraft, Reza Yousefi-Nooraie

“…We focused on the common themes in the methodology and evaluation frameworks of social media–based dissemination strategies. …”
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Multi‐Annual Inventorying of Retrogressive Thaw Slumps Using Domain Adaptation by Yiling Lin, Xie Hu, Haoyu Lu, Fujun Niu, Gengnian Liu, Lingcao Huang, Shanghang Zhang, Jifu Liu, Yunhuai Liu

“…Our work is the first to apply an unsupervised domain adaptation to automatically map the RTSs on a multi‐annual timescale, demonstrating a strong potential of its applicability for monitoring large‐scale, multi‐temporal evolution of geomorphological features.…”
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Research on RF Intensity Temperature Sensing based on 1D-CNN by DING Meiqi, GUI Lin, WANG Ziyi, SHANG Disen, QIAN Min, LI Qiankun

“…【Objective】In order to improve the accuracy and efficiency of temperature sensing, the application of Microwave Photonic Filter (MPF) based on One-Dimensional Convolutional Neural Network (1D-CNN) in Radio Frequency (RF) intensity temperature sensing is studied.…”
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Research on Detection and Counting Method of Green Walnut Based on YOLOv8n-RBP by Bangbang Chen, Keke Tan, Kun Li, Baojian Ma, Xiangdong Liu

“…Second, a BiFPN-GLSA module is introduced to replace the Path Aggregation Network (PANet) in the neck, improving the fusion of feature layers from the backbone and Neck networks and enhancing the model&#x2019;s ability to capture both global and local spatial features. …”
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UNION: A Trust Model Distinguishing Intentional and Unintentional Misbehavior in Inter-UAV Communication by Ezedin Barka, Chaker Abdelaziz Kerrache, Nasreddine Lagraa, Abderrahmane Lakas, Carlos T. Calafate, Juan-Carlos Cano

“…In general, these UAVs are often detected as malicious due to an unintentional misbehavior related to the physical features of the UAVs, the communication mediums, or the network interface. …”
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Sentimental analysis based federated learning privacy detection in fake web recommendations using blockchain model by Jitendra Kumar Samriya, Amit Kumar, Ashok Bhansali, Meena Malik, Varsha Arya, Wadee Alhalabi, Bassma Saleh Alsulami, Brij B. Gupta

“…The input data comprises sentiment-based features extracted from web recommendations. A generative convolutional Bernoulli bayes neural network is employed for the feature extraction and classification. …”
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Genome-wide identification and characterization of DNA enhancers with a stacked multivariate fusion framework. by Yansong Wang, Zilong Hou, Yuning Yang, Ka-Chun Wong, Xiangtao Li

“…Ultimately, an ensemble machine learning classifier is trained based on the refined multi-source features and dynamic implicit relations obtained from the deep learning-based sequence network. …”
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Multi-level lag scheme significantly improves training efficiency in deep learning: a case study in air quality alert service over sub-tropical area by Benedito Chi Man Tam, Su-Kit Tang, Alberto Cardoso

“…In multivariate time series (MTS) models, the predictive accuracy of artificial neural network ANN-type models can be improved by including more features. …”
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Predicting outcomes following endovascular aortoiliac revascularization using machine learning by Ben Li, Badr Aljabri, Derek Beaton, Leen Al-Omran, Mohamad A. Hussain, Douglas S. Lee, Duminda N. Wijeysundera, Ori D. Rotstein, Charles de Mestral, Muhammad Mamdani, Mohammed Al-Omran

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View-label driven cross-space structure alignment for incomplete multi-view partial multi-label classification by Shenrun Ding, Jiarui Chen, Tongwei Gao, Yinghao Ye, Xiaohuan Lu

“…To address the aforementioned challenges, we propose a novel learning framework termed View-Label Driven Cross-Space Structure Alignment Network (VLCSA). Departing from existing low-quality view completion approaches, we devise a view-label hybrid-driven autoencoder (VLAE) that extracts discriminative view-specific features through joint optimization of cross-view semantic consistency and label-guided instance-level embeddings, which allows for accurate reconstruction of missing views. …”
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