Broad-ranged, highly disjunct, locally rare and severely endangered: the challenging risk assessment and a global conservation strategy for Erica sicula Guss. sensu lato (Ericaceae... by Salvatore Pasta, Hicham El Zein, Ozan Şentürk, Salih Gücel, Leopoldo de Simone, Bertrand de Montmollin

“…The distribution range of Erica sicula Guss. sensu lato spans the central and eastern Mediterranean Basin, but shows a significantly fragmented pattern, and its populations are locally subject to multiple threats inducing continuous regression. …”
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Fairness-Oriented Charging Station Location Optimization Driven by Deep Reinforcement Learning by Siyue Yuan, Jiaying Fu, Xiaoyin Ma

“…The results show that the charging station layout in Beijing exhibits a “dense center, sparse periphery” pattern, with schools, hospitals, and other public facilities being the main driving factors. …”
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Advancements in understanding emission characteristics, data-driven olfactory-chemical measurements, and health impacts of the emerging odor pollution by Xinyuan Xu, Haixin Gu, Zihao Zhang, Yantong Liu, Lingling Zhang, Junfeng Wang, Mindong Chen, Yu Huang, Junji Cao, Shun-cheng Lee, Haiwei Li, Xinlei Ge

“…Odor pollution presents a multi-scale challenge to global environmental governance, with significant gaps in measurement reliability, temporal mismatches between emission patterns and regulatory standards, and acknowledgment of the undervaluation of its associated health risks. …”
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A Scalable Unsegmented Multiport Memory for FPGA-Based Systems by Kevin R. Townsend, Osama G. Attia, Phillip H. Jones, Joseph Zambreno

“…With banking, memory congestion is unavoidable and we evaluate our multiport memory cores under different memory access patterns to gain insights about different design trade-offs. …”
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RoBERTa-Based Multi-Feature Integrated BiLSTM and CNN Model for Ceramic Review Analysis by LiHua Yang, Jun Wang, WangRen Qiu

“…By feeding different outputs of RoBERTa into Convolutional Neural Networks (CNN) and Bidirectional Long Short-Term Memory (BiLSTM) networks, the model effectively captures both local static patterns and global contextual dependencies, thereby enhancing its capability to handle complex textual inputs. …”
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A Bibliometric Analysis and Systematic Review of Research Advances in In Situ Gel Drug Delivery Systems from 2003 to 2023 by Huanyu Zhou, Mingqing Yuan, Tao Zhang

“…<b>Methods</b>: Studies from 2003 to 2023 were systematically obtained from the Web of Science database and analyzed using VOSviewer software to evaluate publication trends, citation patterns, and collaborative networks. …”
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An Extended Firefly Algorithm for Enhanced Information Diffusion with Multi-Factor Considerations by Amjad Alloush, Ghaida Rebdawi:, Mohammad Saeed Abou Trab

“…Unlike classical models, which treat information diffusion uniformly, our approach adapts dynamically to the nature of content and the behavioral patterns of users. The proposed model is evaluated using multiple real-world datasets, including Twitter and Reddit, and compared against state-of-the-art optimization-based diffusion models such as PSO, ACO, and GWO. …”
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Identification of biomarkers for the diagnosis of type 2 diabetes mellitus with metabolic associated fatty liver disease by bioinformatics analysis and experimental validation by Guiling Wu, Guiling Wu, Sihui Wu, Sihui Wu, Tian Xiong, Tian Xiong, Tian Xiong, You Yao, You Yao, Yu Qiu, Yu Qiu, Yu Qiu, Liheng Meng, Cuihong Chen, Xi Yang, Xi Yang, Xi Yang, Xinghuan Liang, Yingfen Qin

“…Additionally, high-fat, high-glucose combined with high-fat cell models were successfully produced. The expression patterns of TNFRSF1A and SERPINB2 were verified in patient blood and our cellular model. …”
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Potential multiple disease progression pathways in female patients with Alzheimer's disease inferred from transcriptome and epigenome data of the dorsolateral prefrontal cortex. by Kousei Honda, Akinori Awazu

“…An inference of adjacency networks among substages, evaluated via partition-based graph abstraction using the gene expression profiles of individuals, suggested the possibility of multiple typical disease progression pathways from NCI to different AD substages through various MCI substages. …”
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Dynamics of Acculturation and Enculturation of Languages to Socio-Economic Development in Nigeria: Implication for Poverty Reduction by Khadijah Ashiru Abdulrahman

“… Every group and society has cultures constituting frameworks for their lives and behavioral patterns. Cultural factors affect socio-economic behavior in at least four ways: its impact on organization and production, attitudes towards consumption and work, the ability to create and manage institutions, and the creation of social networks. …”
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Deep learning to promote health through sports and physical training by Xinyue Li

“…Recent advancements in deep learning and time-series analysis offer an opportunity to develop more personalized and accurate predictive models for assessing health improvement trends.MethodsThis study proposes a Health Improvement Score (HIS) prediction model based on a sequence-to-sequence deep learning architecture with Long Short-Term Memory (LSTM) networks and an attention mechanism. The model integrates heterogeneous time-series data, including physiological parameters (heart rate, blood oxygen levels, respiration rate), activity metrics (steps, distance, calories burned), sleep patterns, and body measurements. …”
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Multistage Training of Fuzzy Cognitive Maps to Predict Preeclampsia and Fetal Growth Restriction by William Hoyos, Rodrigo Garcia, Jose Aguilar

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Comparison of alternative approaches for analysing multi-level RNA-seq data. by Irina Mohorianu, Amanda Bretman, Damian T Smith, Emily K Fowler, Tamas Dalmay, Tracey Chapman

“…It enables the description of genome-wide patterns of expression and the identification of regulatory interactions and networks. …”
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Recent advances in the inverse design of silicon photonic devices and related platforms using deep generative models by Sun Jae Baek, Minhyeok Lee

“…Deep generative models offer additional capabilities by leveraging their ability to learn complex patterns and generate novel designs. This review examines various deep learning methodologies, including multi-layer perceptrons (MLP), convolutional neural networks (CNN), auto-encoders (AE), Generative Adversarial Networks (GAN), and reinforcement learning (RL) approaches. …”
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Enhanced Feature Selection via Hierarchical Concept Modeling by Jarunee Saelee, Patsita Wetchapram, Apirat Wanichsombat, Arthit Intarasit, Jirapond Muangprathub, Laor Boongasame, Boonyarit Choopradit

“…The presented methods are evaluated based on all learned attributes with 10 datasets from the UCI Machine Learning Repository by using three classification algorithms, namely decision trees, support vector machines (SVM), and artificial neural networks (ANN). …”
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Emerging research themes in ferroptosis research for non-small cell lung cancer: a bibliometric and visualized analysis by Wenbo Zhang, Wenbo Zhang, Wenbo Zhang, Wenbo Zhang, Jianwei Gu, Jianwei Gu, Jianwei Gu, Jianwei Gu, Yong Chen, Guolu Jiang, Diego Gonzalez-Rivas, Diego Gonzalez-Rivas, Minjie Ma, Chang Chen, Chang Chen, Chang Chen

“…Bibliometric tools including VOSviewer, CiteSpace, and GraphPad Prism were used to analyze publication trends, citation patterns, collaborative networks, and research hotspots. …”
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Study protocol for a multi-session randomized sham-controlled trial of PCC- and amygdala-targeted neurofeedback for the treatment of PTSD by Jonathan M. Lieberman, Ruth A. Lanius, Jean Théberge, Benicio N. Frey, Paul A. Frewen, Frank Scharnowski, David Steyrl, Tomas Ros, Maria Densmore, Emma Tassinari, Vangel Matic, Niki Hosseini-Kamkar, Sandhya Narikuzhy, Fardous Hosseiny, Rakesh Jetly, Andrew A. Nicholson

“…Neural outcomes will also be examined, focusing on brain activation and connectivity patterns. Additionally, qualitative interviews and actigraphy will assess participants’ subjective experiences and track sleep and physical activity patterns. …”
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Orthogonal Frequency Division Multiplexing With Generalized Joint Index Modulation by Zeng Hu, Yanke Che, Jing Wang, Xuhong Peng, Chaobo He, Dehuan Wan, Yun Liu, Ting Wu

“…In GJ-OFDM-IM, the subcarrier activation pattern (SAP) of the subblock is composed of the SAPs of all the sub-subblocks within the subblock, which means a large dimensions IM of the subblock is divided into multiple small size IM of the sub-subblocks by taking advantage of the joint modulation. …”
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A Trust Based Anomaly Detection Scheme Using a Hybrid Deep Learning Model for IoT Routing Attacks Mitigation by Khatereh Ahmadi, Reza Javidan

“…According to the presented results, the implemented detection scheme on all attack scenarios, demonstrated that the trend of estimated anomaly between real and predicted routing behavior is similar to the evaluated attack frequency of malicious nodes during the RPL process and in contrast, analyzed trust scores represent an opposite pattern, which shows high accurate and timely detection of attack incidences using our proposed trust scheme.…”
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Deep learning for algorithmic trading: A systematic review of predictive models and optimization strategies by MD Shahriar Mahmud Bhuiyan, MD AL Rafi, Gourab Nicholas Rodrigues, MD Nazmul Hossain Mir, Adit Ishraq, M.F. Mridha, Jungpil Shin

“…We analyze and synthesize the key DL architectures, such as recurrent neural networks (RNN), long short-term memory (LSTM), convolutional neural networks (CNN), and hybrid models, to evaluate their performance in predicting stock prices, volatility, and market trends. …”
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