Directed neural differentiation of mouse embryonic stem cells is a sensitive system for the identification of novel Hox gene effectors. by Myrto Bami, Vasso Episkopou, Anthony Gavalas, Mina Gouti

“…To begin delineating Hox gene function in neural development we used a mouse ES cell based system that combines efficient neural differentiation with inducible Hoxb1 expression. …”
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RETRACTED ARTICLE: Attention Pyramid Convolutional Neural Network Optimized with Big Data for Teaching Aerobics by Chunmei Chen

“…The proposed method, Attention Pyramid Convolutional Neural Network optimized with big data for teaching Aerobics (AP-CNN-BTA), focuses on enhancing aesthetic ability and overall human development. Data from the Simple Ocean Data Assimilation Data Set are collected, preprocessed, and utilized in the teaching process using the Attention Pyramid Convolutional Neural Network, specifically designed for efficient aerobics instruction in coastal areas. …”
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Deep Learning Strategy for UAV-Based Multi-Class Damage Detection on Railway Bridges Using U-Net with Different Loss Functions by Yong-Hyoun Na, Doo-Kie Kim

“…Therefore, there is a growing need for a more efficient and reliable alternative to traditional visual inspections of railway bridges. …”
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CFNet: Optimizing Remote Sensing Change Detection Through Content-Aware Enhancement by Fan Wu, Sijun Dong, Xiaoliang Meng

“…CFNet employs EfficientNet-B5 as the backbone for feature extraction. …”
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A hybrid cellular automaton model integrated with 3DCNN and LSTM for simulating land use/cover change by Wei Yang, Yu Zhang, Kun Hou, Xuejing Wang

“…It is a challenge for conventional statistical or machine learning methods to efficiently obtain high-level representations of spatiotemporal information and time series features at the same time. …”
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YOLOv8-CBSE: An Enhanced Computer Vision Model for Detecting the Maturity of Chili Pepper in the Natural Environment by Yane Ma, Shujuan Zhang

“…This study provides an efficient and accurate method for detecting chili peppers in natural environments, which is of great significance for promoting intelligent and precise agricultural management.…”
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Multimodal data fusion for Alzheimer's disease based on dynamic heterogeneous graph convolutional neural network and generative adversarial network by Xiaoyu Chen, Shuaiqun Wang, Wei Kong

“…Current research has progressed from single-modal data analysis to multi-modal data fusion, leveraging deep learning's efficient data analysis capabilities to handle complex datasets. …”
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Multi-defect detection and classification for aluminum alloys with enhanced YOLOv8. by Ying Han, Xingkun Li, Gongxiang Cui, Jie Song, Fengyu Zhou, Yugang Wang

“…Defect features are extracted and analyzed more efficiently, and the network model better identifies defects such as jet, camouflage, etc. …”
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DRaCOon: a novel algorithm for pathway-level differential co-expression analysis in transcriptomics by Fernando M. Delgado-Chaves, Ferdinand Spurny, Tanja Laske, Mhaned Oubounyt, Jan Baumbach

“…However, a key challenge is the lack of robust methods and benchmarks specifically for evaluating algorithms’ ability to identify disrupted gene-gene associations across conditions. …”
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A tissue culture model of murine gammaherpesvirus replication reveals roles for the viral cyclin in both virus replication and egress from infected cells. by Francine M Scott, Samuel H Speck

“…As observed for acute replication in vivo, efficient replication in RL-65 cells requires CDK binding. …”
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The Influence of Asset Management, Solvency, and Liquidity on Financial Performance in Food and Beverage Sub-Sector Companies Listed on the Indonesia Stock Exchange in 2021-2023 by Yanita Paulina Br Sebayang, Retnawati Siregar, Hasbiana Dalimunthe, Shabrina Tri Asti Nasution

“…These findings indicate that efficient asset management, a healthy capital structure, and the company's ability to meet short-term obligations are important factors in improving financial performance. …”
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UFSRAT: Ultra-fast Shape Recognition with Atom Types--the discovery of novel bioactive small molecular scaffolds for FKBP12 and 11βHSD1. by Steven Shave, Elizabeth A Blackburn, Jillian Adie, Douglas R Houston, Manfred Auer, Scott P Webster, Paul Taylor, Malcolm D Walkinshaw

“…This demonstrates the valuable ability of the UFSRAT algorithm to perform scaffold hops.…”
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Presenting a model of the influence of managers' communication skills on project performance using the structural equation method by masoud jabarzare, alireza zareei, mehrdad Hemasian ettefagh

“…By increasing the motivation of human resources, the ability of project managers to efficiently coordinate activities in the field of management skills increases. …”
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Does AIS quality lead to reporting quality in the municipalities: case study of the west bank? by Doaa’ Younis, Raed Saad, Zahran Daraghma, Abdulnaser Nour

“…The high-quality reporting improves the ability to get grants and provides valuable financial data for different users.…”
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Solvent solutions: comparing extraction methods for edible oils and proteins in a changing regulatory landscape. Part 1: Physical-properties☆ by Carré Patrick, Berthold Sebastian, Piofczyk Thomas, Bothe Sarah, Hadjiali Sara

“…Dichloromethane is a good solvent for lipids in general but raises potential safety concerns. 2-Methyloxolane is noted for its ability to efficiently extract both polar and non-polar lipids, offering a potential compromise between hexane-like and more polar solvents however, it is potentially hindered by its price and its limited availability.…”
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Chinese Character Features Facilitate Working Memory Updating: Evidence From the EEG by Hongli Li, Decai Ren, Yihang Ouyang

“…The presence of language knowledge in Chinese characters may enhance the brain's ability to perform verbal WM tasks more efficiently. …”
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A multi-domain dual-stream network for hyperspectral unmixing by Jiwei Hu, Tianhao Wang, Qiwen Jin, Chengli Peng, Quan Liu

“…However, traditional AE-based methods lean towards focusing excessively on the information of spectral dimension in the data, resulting in limited ability to extract endmembers with meaningful physical interpretations, and achieve uncompetitive performance. …”
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Being An Wholistic and Developmental Healthcare Leader: Insights from a grounded theory research study by Shannon Richards-Green, Suzanne Gough, Mickan Sharon

“…In this environment, the healthcare leader’s ability to make sense of their experiences and thrive as a leader, is crucial to the efficient functioning of the healthcare system. …”
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Model of the malicious traffic classification based on hypergraph neural network by Wenbo ZHAO, Zitong MA, Zhe YANG

“…As the use and reliance on networks continue to grow, the prevalence of malicious network traffic poses a significant challenge in the field of network security.Cyber attackers constantly seek new ways to infiltrate systems, steal data, and disrupt network services.To address this ongoing threat, it is crucial to develop more effective intrusion detection systems that can promptly detect and counteract malicious network traffic, thereby minimizing the resulting losses.However, current methods for classifying malicious traffic have limitations, particularly in terms of excessive reliance on data feature selection.To improve the accuracy of malicious traffic classification, a novel malicious traffic classification model based on Hypergraph Neural Networks (HGNN) was proposed.The traffic data was represented as hypergraph structures and HGNN was utilized to capture the spatial features of the traffic.By considering the interrelations among traffic data, HGNN provided a more accurate representation of the characteristics of malicious traffic.Additionally, to handle the temporal features of traffic data, Recurrent Neural Networks (RNN) was introduced to further enhance the model’s classification performance.The extracted spatiotemporal features were then used for the classification of malicious traffic, aiding in the detection of potential threats within the network.Through a series of ablative experiments, the effectiveness of the HGNN+RNN method was verified.These experiments demonstrate the model’s ability to efficiently extract spatiotemporal features from traffic, resulting in improved classification performance for malicious traffic.The model achieved outstanding classification accuracy across three widely-used open-source datasets: NSL-KDD (94% accuracy), UNSW-NB15 (95.6% accuracy), and CIC-IDS-2017 (99.08% accuracy).These results underscore the potential significance of the malicious traffic classification model based on hypergraph neural networks in enhancing network security and its capacity to better address the evolving landscape of network threats within the domain of network security.…”
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Influencing Factors of Solar-Powered Electric Vehicle Charging Stations in Hail City, Saudi Arabia by Abdulmohsen A. Al-fouzan, Radwan A. Almasri

“…The ideal number of station slots is 200. Less efficient vehicles with higher consumption rates require a more comprehensive charging infrastructure, and increasing the charging power leads to an apparent decrease in the number of stations. …”
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