Interactions of silicon and arbuscular mycorrhizal fungi on phosphorus uptake during rice vegetative growth by Li-Xue Qiu, Dong-Xing Guan, Yi-Wen Liu, Yu Luo, H. Henry Teng, Yakov Kuzyakov, Lena Q. Ma

“…Under low P availability, Si reduces AMF functioning by decreasing colonization rates, while under high P availability, Si reinforces the P-promoting effects of AMF by stimulating PSB abundance. …”
Get full text

Performance Assessment of a Piezoelectric Vibration Energy Harvester for Hybrid Excitation with Varying Cross Sections by Bartłomiej Ambrożkiewicz, Zbigniew Czyż, Vikram Pakrashi, Jakub Anczarski, Paweł Stączek, Andrzej Koszewnik, Mirosław Wendeker, Grzegorz Litak

“…A combination of vibrational excitation from a shaker and airflow is considered the source from which energy is harvested. Varied excitation frequencies and airflow velocities across five different masses were considered, each defining the natural frequency of the system. …”
Get full text

Multipath2.0: Extending Multilayer Reproducible Pathway Models with Omics Data by Zaynab Hammoud, Mohammad Al Maaz, Alicia D'Angelo, Frank Kramer

“…Although the model showed remarkable utility, including further data sources ensures enriching and expanding its capabilities. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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.…”
Get full text

Quasi-weekly oscillation of regional PM_2.5 transport over China driven by the synoptic-scale disturbance of the East Asian winter monsoon circulation by Y. Bai, T. Zhao, K. Meng, Y. Zhou, J. Xiong, X. Sun, L. Shen, Y. Yue, Y. Zhu, W. Hu, J. Yao

“…By constructing the data of daily PM<span class="inline-formula">_2.5</span> transport flux in CEC in the winters of 2015–2019, we utilize the extended empirical orthogonal function (EEOF) decomposition and other statistical methods to extract the moving spatial distribution of regional PM<span class="inline-formula">_2.5</span> transport over CEC, recognizing the QWO in regional PM<span class="inline-formula">_2.5</span> transport with the spatial–temporal variations over CEC. …”
Get full text

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. …”
Get full text

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). …”
Get full text

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. …”
Get full text

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

Get full text

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.…”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text