Distributionally robust optimal scheduling of flexible distribution networks considering dynamic spatio-temporal correlation of renewable energy by Shunxiang Yu, Xiaoming Dong, Chengfu Wang, Tianguang Lu

“…By utilizing the 1-norm and ∞-norm to characterize the uncertainty sets between sources and loads, this strategy effectively minimizes operational costs while ensuring robust performance. …”
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Characterizing cell-type spatial relationships across length scales in spatially resolved omics data by Rafael dos Santos Peixoto, Brendan F. Miller, Maigan A. Brusko, Gohta Aihara, Lyla Atta, Manjari Anant, Mark A. Atkinson, Todd M. Brusko, Clive H. Wasserfall, Jean Fan

“…Application of such technologies offers the opportunity to delineate cell-type spatial relationships, particularly across different length scales, and enhance our understanding of tissue organization and function. To quantify such multi-scale cell-type spatial relationships, we present CRAWDAD, Cell-type Relationship Analysis Workflow Done Across Distances, as an open-source R package. …”
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Antalya Kaleiçi and Its Surroundings on the 1905 Maps by Evren Dayar

“…This article aims to evaluate two maps of Antalya prepared on March 27, 1905, utilizing archival documents, inscriptions, and various visual sources. …”
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Load Balancing and Server Consolidation in Cloud Computing Environments: A Meta-Study by Mohammed Ala'anzy, Mohamed Othman

“…In terms of system behavior and workload, patterns of cloud computing are very dynamic; and that might serve to imbalance the load among data center resources. Eventually, some data-center resources could come to be over-loaded/under-loaded, which leads to an increase in energy consumption in addition to decreased functioning and wastage of resources. …”
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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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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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Effects of hydroxyproline-taurine-cholesterol supplementation on the liver health and lipid metabolisms of turbot Scophthalmus maximus fed Chlorella vulgaris by Daisong Ma, Nan Bai, Shihui Pan, Chuwen Chen, Min Gu

“…Seven experimental diets were formulated. The control diet utilized fishmeal as the exclusive protein source. …”
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Transmissive Refractive Index Sensing Based on Frequency-Sensitive Responses of Two-Dimensional Photonic Crystals by Xulin Lin, Haiwen Fang, Lin Wang, Guo Ping Wang, Xunya Jiang

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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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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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Therapeutic role of mesenchymal stem cells in neurogenesis for management of neurological disorders: a scientometric study to an in-depth review by Qian Wang, Weifeng Jiang, Yan Feng, Lin Li, Lisheng Chu, Yan Fang

“…To comprehend the many processes and mechanisms of neurogenesis and the role of mesenchymal stem cells (MSCs) as active contributors to pathologic events influencing neurogenesis. We utilized the Web of Science (core collection) as the data source.MethodsThe search was performed in the Web of Science core collection database until April 30, 2024, with the terms “Mesenchymal stem cells” as the title and “neurogenesis” as the topic.ResultsA total of 407 papers about mesenchymal stem cells in neurogenesis published from 2004 to 2024 were retrieved. …”
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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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