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

“…We address these problems for the representative case of the CA1 pyramidal cell of the rat hippocampus by developing an open-source Python test suite, which makes it possible to automatically and systematically test multiple properties of models by making quantitative comparisons between the models and electrophysiological data. …”
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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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Characterization of wheat oligo‐tiller mutant ot2 and fine mapping of the mutant gene Taot2 by Chenxi Wang, Jiaxing Bai, Hongchun Xiong, Yongdun Xie, Jiayu Gu, Linshu Zhao, Huiyuan Li, Yuping Ding, Xinmei Guo, Huijun Guo, Luxiang Liu

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Machine learning-based model for acute asthma exacerbation detection using routine blood parameters by Youpeng Chen, Junquan Sun, Yabang Chen, Enzhong Li, Jiancai Lu, Huanhua Tang, Yifei Xie, Jiana Zhang, Lesi Peng, Haojie Wu, Zhangkai J. Cheng, Baoqing Sun

“…Background: Acute asthma exacerbations (AAEs) are a leading cause of asthma-related morbidity and mortality, especially in resource-limited settings where pulmonary function tests are unavailable or when patients are unable to cooperate with testing. …”
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Empirical Analysis of Productivity among Broiler Farmers by Godfrey Onuwa

“…Profitability and productivity and analysis are important considerations in measuring efficiency or performance of a farm business; hence, improved output and income are not only a function of increase in the scale of production, but also how efficiently the resources are being utilized. …”
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Site-specific prediction of O-GlcNAc modification in proteins using evolutionary scale model. by Ayesha Khalid, Afshan Kaleem, Wajahat Qazi, Roheena Abdullah, Mehwish Iqtedar, Shagufta Naz

“…Furthermore, future studies should focus on more diverse data types, longer protein sequence lengths, and higher computational resources to evaluate various parameters. Accurate prediction of O-GlcNAc sites might enhance the investigation of the site-specific functions of proteins in physiology and diseases.…”
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Trait-mediated responses and co-occurrence patterns of breeding steppe birds under human footprint in Inner Mongolia by Wenyu Xu, Chunlu Wang, Yanqi Wang, Xi Yang, Lishi Zhang, Piotr Tryjanowski, Frédéric Jiguet, Zheng Han, Haitao Wang

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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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The trajectory of intrinsic capacity and its related factors among elderly Chinese patients with cardiovascular disease: a prospective cohort study by Yanyin Cui, Shanyan Lei, Yubing Xia, Fang Yang

“…The analysis of associated factors show that non-time-varying characteristics such as educational level, residential area, housing type, toilet facilities, and energy sources, are significantly associated with the IC trajectories of CVD patients. …”
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Support for family members who are caregivers to relatives with acquired brain injury by Janet Walker, Lourens Schlebusch, Bernhard Gaede

“…A mixed methodology was utilized. It comprised cross-sectional descriptive and phenomenological approaches. …”
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MedAlmighty: enhancing disease diagnosis with large vision model distillation by Yajing Ren, Zheng Gu, Wen Liu

“…These challenges are particularly pronounced in multimodal tasks requiring the integration of diverse data sources. While lightweight models offer computational efficiency, they often lack the comprehensive understanding necessary for reliable clinical predictions. …”
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Preparation and Characterization of Protein-Based Hydrogel: Cottonseed Protein Grafted with 2-Acrylamido-2-Methylpropanesulfonic Acid (AMPS) by Dehenenet Flatie Tassw, Tamrat Tesfaye, Murugesh Babu K.

“…To overcome these issues, researchers are exploring the synthesis of superabsorbent polymers from natural sources. Cottonseed protein is identified as a potential natural polymer for the synthesis of natural superabsorbent polymers. …”
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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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Spacecraft Intelligent Fault Diagnosis under Variable Working Conditions via Wasserstein Distance-Based Deep Adversarial Transfer Learning by Gang Xiang, Kun Tian

“…Moreover, an improved one-dimensional convolutional neural network- (CNN-) based feature extractor which utilizes exponential linear units (ELU) as activation functions and wide kernels is designed to automatically extract the latent features of raw time-series input data. …”
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Freeze-Drying for the Reduction of Fruit and Vegetable Chain Losses: A Sustainable Solution to Produce Potential Health-Promoting Food Applications by Dario Donno, Giovanna Neirotti, Annachiara Fioccardi, Zoarilala Rinah Razafindrakoto, Nantenaina Tombozara, Maria Gabriella Mellano, Gabriele Loris Beccaro, Giovanni Gamba

“…This study showed that the utilization of crop remains can potentially lead to the development of new functional foods, providing additional economic benefits for farmers. …”
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Daily reference evapotranspiration prediction using empirical and data-driven approaches: A case study of Adana plain by Semin Topaloğlu Paksoy, Deniz Levent Koç

“…In addition, it plays a significant role in properly managing and allocating water resources in agriculture. The objective of this research was to examine the effectiveness of five different data-driven techniques, including artificial neural networks "multilayer perceptron" (ANN), gene expression programming (GEP), random forest (RF), support vector machine "radial basis function" (SVM), and multiple linear regression (MLR) to model the daily ET0. …”
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