Integrating Multi-Model Simulations to Address Partial Observability in Population Dynamics: A Python-Based Ecological Tool by Yide Yu, Huijie Li, Yue Liu, Yan Ma

“…WAPET bridges the gap between comprehensive modeling capabilities and user-friendly interfaces, positioning itself as a versatile tool for both experienced researchers and non-computational stakeholders in biodiversity decision-making processes.…”
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Primary Nocardia Infection Causing a Fluorodeoxyglucose-Avid Right Renal Mass in a Redo Lung Transplant Recipient by Sreeja Biswas Roy, Mitchell D. Ross, Pradnya D. Patil, Richard Trepeta, Ross M. Bremner, Tanmay S. Panchabhai

“…Special stains confirmed a diagnosis of Nocardia renal abscess. Computed tomography of the chest and brain revealed no lesions consistent with infection. …”
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A Lightweight Small Target Detection Algorithm for UAV Platforms by Yanhui Lv, Bo Tian, Qichao Guo, Deyu Zhang

“…Additionally, the low computational capability of UAVs is challenged when trying to meet the requirements of large neural networks. …”
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5G OFDM channel estimation method based on complex-valued generative adversarial network by LU Yuanzhi, WEI Xianglin, YU Long, YAO Changhua

“…Channel estimation methods based on least square (LS) and minimum mean square error (MMSE) effectively utilize the system’s sparsity, but LS algorithms face low computational precision, while MMSE algorithms suffer from high computational complexity. …”
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Wavenumber-dependent transmission of subthreshold waves on electrical synapses network model of Caenorhabditis elegans by Iksoo Chang, Taegon Chung, Sangyeol Kim

“…A theoretical and computational model presented in this study provided fundamental insight for understanding how the multi-path constructive/destructive interference of the subthreshold oscillations propagating on electrically coupled neural networks could generate wavenumber-dependent synchronized rhythmic activity.…”
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An innovative semiconducting Ni(II)-metallogel based robust random access memory (RRAM) device for advanced flexible electronics applications by Arpita Roy, Subhendu Dhibar, Saurav Kumar, Sangita Some, Parul Garg, Pradip Ruidas, Subham Bhattacharjee, Ashok Bera, Bidyut Saha, Soumya Jyoti Ray

“…This work highlights the potential of Ni(II)-metallogels for non-volatile memory, neuromorphic computing, flexible electronics, and optoelectronics. …”
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Percutaneous vacuum-assisted tumor thrombectomy using angiovac and penumbra lightning 12 aspiration systems by Murtaza Jafri, BSc, Brittany Stojak, MD, Owen Mooney, MD, Andrew Macdiarmid, MD, Ian W. Gibson, MD, Surinder Dhaliwal, MD

“…A 19-year-old female presented with a 2-month history of abdominal discomfort and palpable abdominal mass; a computer tomography scan revealed a large retroperitoneal mass as well as high suspicion of thrombus in her inferior vena cava. …”
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Artificial intelligence in dentistry—A review by Hao Ding, Jiamin Wu, Wuyuan Zhao, Jukka P. Matinlinna, Jukka P. Matinlinna, Michael F. Burrow, James K. H. Tsoi

“…Owing to the rapid development of three cornerstones of current AI technology—big data (coming through digital devices), computational power, and AI algorithm—in the past two decades, AI applications have started to provide convenience to people's lives. …”
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Unveiling Wunderlich syndrome: Diagnosis and management of a rare spontaneous renal hematoma by Rebecca Merrill, Pete Jordanides, Jessica Krizo, Erin L. Simon

“…Symptoms typically present as nondescript flank pain, but a flank mass and hypovolemic shock are also possible. Computed tomography (CT) imaging with intravenous contrast should be the modality of choice to diagnose WS, with recent studies highlighting the efficacy of transcatheter arterial embolization (TAE) as the preferred treatment over surgery. …”
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FF-YOLO: Fashion Fabric Detection Algorithm Based on YOLOv8 by Caixia Chen

“…Furthermore, we propose a Lightweight Multi-Level Asymmetry Detector Head (LADH) to replace the head, improving the computational efficiency of the model’s inference process. …”
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Marshall–Olkin Extended Gumbel Type-II Distribution: Properties and Applications by Farwa Willayat, Naz Saud, Muhammad Ijaz, Anita Silvianita, Mahmoud El-Morshedy

“…Due to the advance computer technology, the use of probability distributions has been raised up to solve the real life problems. …”
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Classification Algorithms in Automatic Diagnosis of ECG Arrhythmias: A Review by Haibo Sun, Dan Luo, Xin Niu, Xiaoxi Zeng, Bin Zheng, Hao Liu, Jingye Pan

“…Research on automatic diagnosis of cardiac diseases by means of computer-aided ECG diagnosis has been carried out for decades. …”
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Learning From High-Cardinality Categorical Features in Deep Neural Networks by Mustafa Murat Arat

“…To address the issue of encoding categorical variables in environments with a high cardinality, we also seek a general-purpose approach for statistical analysis of categorical entries that is capable of handling a very large number of catego-ries, while avoiding computational and statistical difficulties. Our proposed approach is low dimensional; thus, it is very efficient in processing time and memory, it can be computed in an online learning setting. …”
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A novel and fast crash simulation method: Revolutionising racetrack safety barrier analysis by Bhavinkumar Arya, Jianchun Yao, John Laurence Davy, Mohammad Fard

“…While the FE method exhibited higher accuracy, the mass-spring model offered superior computational efficiency, making it particularly suitable for simulating a variety of crash configurations. …”
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Ship Formation and Route Optimization Design Based on Improved PSO and D-P Algorithm by Peilong Xu, Dan Lan, Haolin Yang, Shengtian Zhang, Hyeonseok Kim, Incheol Shin

“…When the number of iterations is 1000, the route optimization model has a route coverage rate of 95.9% on the training set, an average error of 30.5 meters, and a computation time of 45.9 seconds, achieving zero collisions. …”
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LE-YOLOv5: A Lightweight and Efficient Neural Network for Steel Surface Defect Detection by Chengshun Zhu, Yong Sun, Hongji Zhang, Shilong Yuan, Hui Zhang

“…Therefore, based on the industrial scenario of low computational force, this study proposed a lightweight and efficient defect detector called LE-YOLOv5. …”
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Automotive ethernet controller authentication method based on national cryptographic algorithms by Hui GUO, Yong LUO, Xiaolu GUO

“…With the development of intelligent and connected cars, cyber security of automotive ethernet becomes the focus of automotive industry.Authentication is one of the key technologies for automotive ethernet security.The existing authentication methods have shortcomings to meet the requirements of both safety and electronic controllers’ performance.Besides, national cryptographic algorithms are becoming a trend for automotive network security, while the related research in automotive ethernet area is still in starting phase.In order to balance the limited computing performance of electronic controllers and high security requirements of automotive ethernet, a two-stage trust chain authentication method based on national cryptographic algorithms was proposed.The method can be used in different automotive ethernet topologies.A trust chain was built up based on authentication credentials, which linked the two authentication stages, namely the initial stage and the vehicle using stage.The initial stage was triggered by diagnosis instrument at end of line or controller replacement.It deployed complete authentication based on SM2 algorithm and certificates in the initial stage.The vehicle using stage was triggered by ethernet gateway at vehicle power-on or network wakeup.In this stage, the method deployed fast authentication based on SM4 algorithm and authentication credential trust chain.The authentication credentials for trust chain were generated by credential functions.In order to ensure security, each credential was generated based on last successful authentication parameters dynamically.The test results on automotive ethernet controllers show that the method has lower computing cost and higher security level, and it can guarantee both performance and security.…”
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Ice volume and thickness of all Scandinavian glaciers and ice caps by Thomas Frank, Ward Jan Jacobus van Pelt

“…The validation statistics computed indicate good agreement between modelled and observed thicknesses (RMSE = 55 m, Pearson's r = 0.87, bias = 0.8 m), outperforming all other ice thickness maps available for the region. …”
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„Nowe” problemy wychowawcze w dobie „nowych” mediów by Arkadiusz Olczyk

“…They are everyday household members of Facebook, Twitter, MySpace, YouTube, Communicators and blogs as well as the slaves of computer games. The computer network addicts and leaves sometimes dramatic marks in their lives. …”
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Primary Bone Marrow B-Cell Lymphoma Undetected by Multiple Imaging Modalities That Initially Presented with Hypercalcemia by Jin Sae Yoo, Juwon Kim, Hyeong Ju Kwon, Jung Soo Lim

“…To exclude malignancy, we performed imaging studies, including abdomen or chest computed tomography and positron emission tomography-computed tomography; however, no suspicious lesion was found, although the serum PTH-related peptide level was elevated at 4.0 pmol/L. …”
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