Underexplored Molecular Mechanisms of Toxicity by Olatunbosun Arowolo, Alexander Suvorov

“…Social biases may concentrate the attention of researchers on a small number of well-known molecules/mechanisms leaving others underexplored. …”
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Determination of Covid-19 Possible Cases by Using Deep Learning Techniques by Mete Yağanoğlu, Çinare Oğuz

“…This very spreading virus may result in serious consequnces including pneumonia, kidney failure acute respiratory infection. …”
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Millimeter-Wave Underlay D2D Communications: Channel Assignment, Transmission mode Selection and Power Control for Full-CSI and Limited-CSI Scenarios by Nima Reisi

“…In this paper, we study relay-assisted underlay D2D communication operating at millimeter-wave (mmWave) band in which half-duplex/full-duplex relays may assist D2D users to improve transmission quality. …”
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Multiverse Analysis for Dynamic Network Models: Investigating the Influence of Plausible Alternative Modeling Choices by Björn S. Siepe, Daniel W. Heck

“…For some individuals, results may differ strongly even when changing the algorithm only slightly. …”
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Health risks associated with infertility and non-obstructive azoospermia by Eric Huyghe, Peter Ka-Fung Chiu

“…Although research specifically addressing azoospermia is limited, available studies support the notion that men with this condition may experience heightened health vulnerabilities. …”
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Region Space Guided Transfer Function Design for Nonlinear Neural Network Augmented Image Visualization by Fei Yang, Xiangxu Meng, JiYing Lang, Weigang Lu, Lei Liu

“…Finally, the volume rendering pipeline with ray-casting algorithm is implemented to visualize several biomedical datasets. …”
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A simple yet effective approach for predicting disease spread using mathematically-inspired diffusion-informed neural networks by ByeongChang Jeong, Yeon Ju Lee, Cheol E. Han

“…GCNs are a recent deep learning algorithm designed to learn spatial relationship from graph-structured data. …”
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Game Cross Efficiency for Systems with Two-Stage Structures by Chaoqun Ma, Debin Liu, Zhongbao Zhou, Wei Zhao, Wenbin Liu

“…An iterative algorithm is then proposed to obtain the game cross efficiencies for the overall systems and subsystems. …”
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Enhancing Analytical Precision in Company Earnings Reports through Neurofuzzy System Development: A Comprehensive Investigation by Bakhyt Matkarimov, Alibek Barlybayev, Didar Karimov

“…This results leads to a hypothesis for further research, suggesting that report indicators may be processed by computational algorithms, potentially including artificial intelligence (AI). …”
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Risk averse reproduction numbers improve resurgence detection. by Kris V Parag, Uri Obolski

“…Applying E-optimal experimental design theory, we develop a weighting algorithm to minimise these issues, yielding the risk averse reproduction number E. …”
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Multibranch semantic image segmentation model based on edge optimization and category perception. by Zhuolin Yang, Zhen Cao, Jianfang Cao, Zhiqiang Chen, Cunhe Peng

“…In semantic image segmentation tasks, most methods fail to fully use the characteristics of different scales and levels but rather directly perform upsampling. This may cause some effective information to be mistaken for redundant information and discarded, which in turn causes object segmentation confusion. …”
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Simulation Analysis of Passive Heave Compensation Device for Heavy-duty Underwater Robot by ZHU Yinggu, ZHANG Dinghua, TU Shaoping, ZHANG Chunlin, XIANG Liyang

“…Model-based stability and dynamic simulation analyses are conducted, and the main factors that may affect the passive compensation performance are identified, including accumulator capacity, initial nitrogen charging pressure and nitrogen pressure after oil filling. …”
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Impact of Damping Models in Damage Identification by Michael Souza, Daniel Castello, Ney Roitman, Thiago Ritto

“…For the set of cases analyzed, it is shown that the proposed approach was able to identify both the position and magnitude of the lumped masses and that the damping models may not provide an increase of knowledge of some unknown parameters when damping rates are lower than 1%.…”
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Energy Efficiency Assessment of Electric Bicycles by Tomasz Matyja, Zbigniew Stanik, Andrzej Kubik

“…Depending on the situation, the tractive force may act as a driving force or as a braking force. …”
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The Aggregation Mechanism Mining of Passengers’ Flow with Period Distribution Based on Suburban Rail Lines by Xiaobing Ding, Hua Hu, Zhigang Liu, Haiyan Zhu

“…Stranding too many passengers at the stations will reduce the service level; if measures are not taken, it may lead to serious security problems. Deeply mining the time distribution mechanism of passenger flow will guide the operation enterprises to make the operation plans, emergency evacuation plans, and so on. …”
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Predicting Future Intrablock Links in Directed Networks Using Triadic Patterns by Lekshmi S. Nair, J. j

“…Our previous work proposed a novel block formation algorithm to determine future links between the blocks. …”
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Unmanned aerial vehicle image stitching based on multi‐region segmentation by Weidong Pan, Anhu Li, Xingsheng Liu, Zhaojun Deng

“…Most existing image stitching methods based on optimal seamline searching algorithms can eliminate defects such as ghosting and distortion in stitched images, which unfortunately suffer from the problem that the seamline may cross those regions with significant geometric misalignment between different images. …”
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A New, Robust, Adaptive, Versatile, and Scalable Abandoned Object Detection Approach Based on DeepSORT Dynamic Prompts, and Customized LLM for Smart Video Surveillance by Merve Yilmazer, Mehmet Karakose

“…Videos inspected by expert personnel using traditional methods may have a high error rate and take a long time to complete. …”
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Data-Driven Customer Retention Strategies in E-Commerce: A Fuzzy Z-Number Approach by Siyin Hu, An Chen

“…Customer attrition continues to be an issue in the e-business environment, which may result in considerable losses in terms of sales. …”
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Virtualized Network Function Consolidation Based on Multiple Status Characteristics by Dandan Qi, Subin Shen, Guanghui Wang

“…The neural network is trained using the particle swarm optimization algorithm (PSO). VCMM migrates VNFs on servers to be turned off by adopting a greedy mechanism. …”
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