GeneSetCluster 2.0: a comprehensive toolset for summarizing and integrating gene-sets analysis by Asier Ortega-Legarreta, Alberto Maillo, Daniel Mouzo, Ana Rosa López-Pérez, Lara Kular, Majid Pahlevan Kakhki, Maja Jagodic, Jesper Tegner, Vincenzo Lagani, Ewoud Ewing, David Gomez-Cabrero

“…GeneSetCluster 2.0 enhances cluster annotations by associating clusters with relevant tissues and biological processes to improve biological interpretation, particularly for human and mouse data. To broaden accessibility, we have developed a user-friendly web application enabling non-programmers to use it. …”
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Applying Multi-Sensor Satellite Data to Identify Key Natural Factors in Annual Livestock Change and Winter Livestock Disaster (<i>Dzud</i>) in Mongolian Nomadic Pasturelands by Sinkyu Kang, Nanghyun Cho, Amartuvshin Narantsetseg, Bolor-Erdene Lkhamsuren, Otgon Khongorzul, Tumendemberel Tegshdelger, Bumsuk Seo, Keunchang Jang

“…A schematic model of nomadic landscapes was developed and used to select potential drivers retrievable from multi-sensor satellite data. …”
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Applying bioinformatic analysis for prognostic assessment of the <i>HS3ST6</i> missense mutations clinical significance in the development of hereditary angioedema by N. A. Pechnikova, Yu. V. Ostankova, M. A. Saitgalina, A. M. Bebyakov, A. R. Denisova, N. S. Podchernyaeva, A. A. Totolian

“…Application of bioinformatic analysis allowed us to obtain new data on four missense mutations in the studied gene. …”
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Anti-VEGF drugs compared with laser photocoagulation for the treatment of diabetic retinopathy: a systematic review and economic analysis by Mark Simmonds, Matthew Walton, Rob Hodgson, Alexis Llewellyn, Ruth Walker, Helen Fulbright, Laura Bojke, Lesley Stewart, Sofia Dias, Thomas Rush, John Lawrenson, Tunde Peto, David Steel

“…Existing cost-effectiveness analyses were reviewed, and a new economic model was developed, informed by the individual participant data meta-analysis. …”
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Towards inclusive and sustainable strategies in smart cities: A comparative analysis of Zurich, Oslo, and Copenhagen by Oluwadamilola A. Oyadeyi, Olajide O. Oyadeyi

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Improved robustness for deep learning-based segmentation of multi-center myocardial perfusion cardiovascular MRI datasets using data-adaptive uncertainty–guided space-time analysis... by Dilek M. Yalcinkaya, MS, Khalid Youssef, PhD, Bobak Heydari, MD, Janet Wei, MD, C. Noel Bairey Merz, MD, Robert Judd, PhD, Rohan Dharmakumar, PhD, Orlando P. Simonetti, PhD, Jonathan W. Weinsaft, MD, Subha V. Raman, MD, Behzad Sharif, PhD

“…Developing deep learning techniques that can analyze multi-center datasets despite limited training data and variations in software (pulse sequence) and hardware (scanner vendor) is an ongoing challenge. …”
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Development of a nomogram model for predicting acute stroke events based on dual-energy CTA analysis of carotid intraplaque and perivascular adipose tissue by He Zhang, He Zhang, He Zhang, He Zhang, Juan Long, Juan Long, Juan Long, Chenzi Wang, Chenzi Wang, Chenzi Wang, Xiaohan Liu, Xiaohan Liu, Xiaohan Liu, He Lu, Wenbei Xu, Wenbei Xu, Wenbei Xu, Xiaonan Sun, Xiaonan Sun, Xiaonan Sun, Peipei Dou, Peipei Dou, Peipei Dou, Dexing Zhou, Lili Zhu, Kai Xu, Kai Xu, Kai Xu, Yankai Meng, Yankai Meng, Yankai Meng

“…ObjectiveTo evaluate the predictive value of dual-energy CT angiography (DECTA) parameters of carotid intraplaque and perivascular adipose tissue (PVAT) in acute stroke events.MethodsA retrospective analysis was conducted using clinical, laboratory, and imaging data from patients who underwent dual-energy carotid CTA and cranial MRI. …”
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Advanced Plant Phenotyping Technologies for Enhanced Detection and Mode of Action Analysis of Herbicide Damage Management by Zhongzhong Niu, Xuan Li, Tianzhang Zhao, Zhiyuan Chen, Jian Jin

“…Utilizing sensor technologies such as hyperspectral, multispectral, RGB, fluorescence, and thermal imaging methods, plant phenotyping enables the precise monitoring of herbicide drift, analysis of resistance mechanisms, and development of new herbicides with innovative MOAs. …”
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Comparative Analysis of Multi-Omics Integration Using Graph Neural Networks for Cancer Classification by Fadi Alharbi, Aleksandar Vakanski, Boyu Zhang, Murtada K. Elbashir, Mohanad Mohammed

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Coupling Coordination Evaluation and Optimization of Water–Energy–Food System in the Yellow River Basin for Sustainable Development by Pengcheng Zhang, Yaoyao Fu, Boliang Lu, Hongbo Li, Yijie Qu, Haslindar Ibrahim, Jiaxuan Wang, Hao Ding, Shenglin Ma

“…A structured evaluation framework is established, integrating the entropy weight–TOPSIS method, the coupling coordination degree model, and spatial correlation analysis. Empirical analysis is conducted using data from nine provinces (regions) along the Yellow River from 2003 to 2022 to assess the spatiotemporal evolution of the coupling coordination level. …”
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Damage Detection and Identification on Elevator Systems Using Deep Learning Algorithms and Multibody Dynamics Models by Josef Koutsoupakis, Dimitrios Giagopoulos, Panagiotis Seventekidis, Georgios Karyofyllas, Amalia Giannakoula

“…A dedicated data acquisition system is then developed and integrated with an elevator cabin, allowing for condition monitoring through this novel methodology. …”
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Integrating bulk RNA-seq and scRNA-seq data to explore diverse cell death patterns and develop a programmed cell death-related relapse prediction model in pediatric B-ALL by Yaxin Luo, Lin Tan, Chuikai Meng, Jingyu Gao, Hongxin Chen, Ruihan Fang, Xuedong Wu

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Implementation of the Asset Management, Operational Reliability and Maintenance Survey in Recycled Beverage Container Manufacturing Lines by Carlos Parra, Carlos Morán, Félix Pizarro, Pablo Duque, Andrés Aránguiz, Vicente González-Prida, Jorge Parra

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Evaluation of the technical condition of the stroke gearbox of a mining excavator by Lagunova Yu.A., Makarova V.V., Bykov D.V., Adamkov A.V.

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HC-means clustering algorithm for precision marketing on e-commerce platforms by Dan Wu, Xin Liu

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Models for analyzing and forecasting share prices on the stock exchange by Р. Пізнак, Т. Ліхоузова

“…The goal is to study the dependencies affecting the share prices of companies, as well as to develop models for forecasting future trends. In the work, a thorough analysis of historical data on company share prices and their macroeconomic indicators was carried out. …”
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A comprehensive review on the applications of chemometrics in analytical chemistry by Projesh Saha, Bibhas Pandit, Soma Pramanik, Bhupendra Shrestha

“…Conclusion: Chemometrics is essential to contemporary analytical chemistry because it provides methods and instruments that enhance quality control, facilitate innovative research advancements, and improve data analysis capabilities. The accuracy and efficacy of chemical analyses are expected to continue to improve as this sector develops.…”
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The Landscape Catalytic Effect of Urban Waterfronts—A Case Study of the Huangpu River in Shanghai by Yuting Yin, Dongbo Ma, Xiran Xu

“…A multi-method approach driven by multi-sourced big data was used in this study, and the analysis was carried out at two scales: the waterfront area (the catalyst area) and its surroundings of influence (the areas affected by the catalyst area). …”
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The Impact of Countries’ Credit Rating Scores on the Export Performance of Companies by Ruhan İri, Esen Gürbüz

“…Regarding the model, in the first stage, the relation between the country’s credit rating covering the years between 1993-2016 and the export performance of the enterprises is examined using secondary data through panel unit root tests analysis. In this context, the H1 hypothesis that the country credit rating score given by the credit rating agencies has an impact on the export performance of companies is supported, and it is found that the credit rating score of Turkey affects the export performance of businesses. …”
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Relationship between the D-dimer and von Willebrand factor levels and the development of gastrointestinal bleeding in patients with stable coronary artery disease: data from the re... by O. O. Shakhmatova, A. L. Komarov, V. V. Korobkova, E. V. Titaeva, A. B. Dobrovolskiy, E. B. Yarovaya, A. G. Shuleshova, E. P. Panchenko

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