A Robust InSAR-DEM Block Adjustment Method Based on Affine and Polynomial Models for Geometric Distortion by Zhonghua Hong, Ziyuan He, Haiyan Pan, Zhihao Tang, Ruyan Zhou, Yun Zhang, Yanling Han, Jiang Tao

“…To mitigate this problem, this study employs affine models and polynomial function models to refine the relative planar precision and elevation accuracy of the DEM. …”
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Diagnosis and management of a giant retroperitoneal hematoma compressing the femoral nerve, following an ultrasound-guided lumbar sympathetic block: a case report by Yan Bai, Xinqiao Zhou, Lingqing Zeng, Xiaokai Zhou, Zhuqing Rao, Cunming Liu, Yinbing Pan, Xiaodi Sun

“…Once imaging supports the diagnosis, immediate digital subtraction angiography (DSA) could be utilized to identify the bleeding source and conduct embolization.…”
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Identifying Disinformation on the Extended Impacts of COVID-19: Methodological Investigation Using a Fuzzy Ranking Ensemble of Natural Language Processing Models by Jian-An Chen, Wu-Chun Chung, Che-Lun Hung, Chun-Ying Wu

“…To enhance performance, we implemented an ensemble learning strategy that incorporated a reparameterized Gompertz function, which assigned fuzzy ranks based on each model’s prediction confidence for each test case. …”
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Versatile graceful degradation framework for bio-inspired proprioception with redundant soft sensors by Taku Sugiyama, Kyo Kutsuzawa, Dai Owaki, Elijah Almanzor, Fumiya Iida, Mitsuhiro Hayashibe

“…Nevertheless, soft sensors are fragile and are susceptible to various damage sources in such environments. Some researchers have utilized redundant configuration, where healthy sensors compensate instantaneously for lost ones to maintain proprioception accuracy. …”
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A Joint Optimization Model for Energy and Reserve Capacity Scheduling With the Integration of Variable Energy Resources by M. Wajahat Hassan, Thamer Alquthami, Ahmad H. Milyani, Ashfaq Ahmad, Muhammad Babar Rasheed

“…Although, the dispatch of alternate energy along with conventional resources has become increasingly important in the new utility environment. However, recent studies based on the uncertainty and worst-case scenario-oriented robust optimization methodology reveal the perplexities associated with renewable energy sources (RES). …”
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Exploring the Therapeutic Potential, Ethnomedicinal Values, and Phytochemistry of <i>Helianthus tuberosus</i> L.: A Review by Ruvimbo Faith Tapera, Xavier Siwe-Noundou, Leshweni Jeremia Shai, Shoeshoe Mokhele

“…The Jerusalem artichoke has been utilized for various applications, including its use as a functional food source, a reservoir of bioactive compounds, and a raw material to produce biofuels. …”
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A Scale-Aware and Discriminative Feature Learning Network for Fine-Grained Rigid Object Recognition by Yangte Gao, Chenwei Deng, Liang Chen, Zicong Zhu

“…The code and dataset will be open source in the future.…”
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A Lightweight Transformer Model for Defect Detection in Electroluminescence Images of Photovoltaic Cells by Yang Yang, Jing Zhang, Xin Shu, Lei Pan, Ming Zhang

“…To ensure solar panels function well, efficient and accurate defect detection of PV modules is essential. …”
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Realizing depth measurement and edge detection based on a single metasurface by Yang Siwen, Wei Qunshuo, Zhao Ruizhe, Li Xin, Zhang Xue, Li Yao, Li Junjie, Jing Xiaoli, Li Xiaowei, Wang Yongtian, Huang Lingling

“…Here, we design and experimentally validate a single geometric metasurface that can achieve depth measurement or edge detection under incoherent or coherent light respectively. Double helix point source function is utilized, and three verification experiments are carried out, including double-helix beam calibration, 2D object and 3D object detection, respectively. …”
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The Modified Sparrow Search Algorithm with Brown Motion and Levy Flight Strategy for the Class Integration Test Order Generation Problem by Chongyang Jiao, Qinglei Zhou, Wenning Zhang, Chunyan Zhang

“…Using the overall stubbing complexity as a fitness function to evaluate different class test sequences, experiments are conducted on open-source Java systems, and the experimental results demonstrate that the MSSA generates test orders with lower stubbing cost in a shorter time than other novel intelligent algorithms. …”
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Detection and classification of hypertensive retinopathy based on retinal image analysis using a deep learning approach by Bambang Krismono Triwijoyo, Ahmat Adil, Muhammad Zulfikri

“…Methods: This research utilizes secondary data, specifically a retinal image dataset from the open-source Messidor database. …”
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A Fusion Method Based on Physical Modes and Satellite Remote Sensing for 3D Ocean State Reconstruction by Yingxiang Hong, Xuan Wang, Bin Wang, Wei Li, Guijun Han

“…This study developed an operational-oriented lightweight framework for three-dimensional ocean state reconstruction by integrating multi-source observations through a computationally efficient multivariate empirical orthogonal function (MEOF) method. …”
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A Case Report of Obstructive Shock from an Esophageal Bolus Leading to Left Atrial Compression by Sharmin Kalam, Sergio Marquez, Emmelyn J. Samones, Tammy Phan, Vi Am Dinh

“…Follow-up ultrasound showed improvement of compression and cardiac function. Conclusion: In evaluation of acute shock, multiple etiologies must be considered. …”
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HippoUnit: A software tool for the automated testing and systematic comparison of detailed models of hippocampal neurons based on electrophysiological data. by Sára Sáray, Christian A Rössert, Shailesh Appukuttan, Rosanna Migliore, Paola Vitale, Carmen A Lupascu, Luca L Bologna, Werner Van Geit, Armando Romani, Andrew P Davison, Eilif Muller, Tamás F Freund, Szabolcs Káli

“…Anatomically and biophysically detailed data-driven neuronal models have become widely used tools for understanding and predicting the behavior and function of neurons. Due to the increasing availability of experimental data from anatomical and electrophysiological measurements as well as the growing number of computational and software tools that enable accurate neuronal modeling, there are now a large number of different models of many cell types available in the literature. …”
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CLUSTERING ANALYSIS FOR GROUPING SUB-DISTRICTS IN BOJONEGORO DISTRICT WITH THE K-MEANS METHOD WITH A VARIETY OF APPROACHES by Denny Nurdiansyah, Mochamad Nizar Palefi Ma'ady, Yuana Sukmawaty, Muchammad Chandra Cahyo Utomo, Tia Mutiani

“…The research method used is a quantitative method with an exploratory study in the application of the K-Means method with a variety of approaches, namely the use of the Kernel K-Means method by utilizing the mapping function to map data to a higher dimension before the clustering process. …”
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Surgically treated ankle fractures in Sweden: a 15-year population-based study of 96 015 surgeries by Gustav Nilsson, Michael Axenhus

“…Abstract Background Ankle fractures are the third most common fractures, often requiring surgical intervention to restore function and mobility. Understanding trends in ankle fracture surgeries is essential for optimizing treatment strategies and improving patient outcomes. …”
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Evaluation of silkworm pupa meal on growth, body indices, digestive enzymes and histopathology of Cirrhinus mrigala fingerlings by Fatima Yasin, Muhammad Mudassar Shahzad, Syed Makhdoom Hussain, Syed Zakir Hussain Shah, Zawar Hussain, Waseem Abbas

“…Fish meal (FM) is a major feed source in the aquaculture industry, but its low profitability and scarcity have prompted a quest for high-protein substitutes. …”
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Estimating atmospheric precipitable water vapor in northern Morocco: A ground-based GNSS approach by Reda Drissi El Bouzaidi, Hajar El Talibi, Said El Moussaoui, Taoufik Mourabit

“…This delay can then be converted into atmospheric precipitable water vapor (PWV) using an integrated mapping function. This study aims to estimate atmospheric precipitable water vapor in the northeastern part of Morocco (specifically the Tangier–Tetouan–Al Hoceima region) utilizing ground-based GNSS techniques. …”
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An ensemble strategy for piRNA identification through hybrid moment-based feature modeling by Mansoor Ahmed Rasheed, Tamim Alkhalifah, Fahad Alturise, Yaser Daanial Khan

“…The proposed approaches show great potential for enhancing the accuracy of piRNA prediction, significantly aiding future research and the scientific community in the in-silico identification of piRNA. The source codes and datasets utilized in this study are accessible at https://github.com/MansoorAhmadRasheed/piRNA-codes-and-result .…”
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Multi-Time Scale Optimal Dispatch of Distribution Network with Pumped Storage Station Based on Model Predictive Control by Pengyu Pan, Zhen Wang, Gang Chen, Huabo Shi, Xiaoming Zha

“…As the penetration of renewable energy increases, the distribution grid faces great challenges in integrating large amounts of distributed energy sources and dealing with their output uncertainty. …”
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