The application of machine learning in clinical microbiology and infectious diseases by Cheng Xu, Ling-Yun Zhao, Cun-Si Ye, Ke-Chen Xu, Ke-Chen Xu, Ke-Yang Xu

“…Machine learning in the field of microbiology mainly adopts supervised learning and unsupervised learning, involving algorithms from classification and regression to clustering and dimensionality reduction. …”
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Remote Sensing Perspective on Monitoring and Predicting Underground Energy Sources Storage Environmental Impacts: Literature Review by Aleksandra Kaczmarek, Jan Blachowski

“…The review was carried out based on 191 research contributions related to geological storage. …”
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Digital augmentation of aftercare for patients with anorexia nervosa: the TRIANGLE RCT and economic evaluation by Janet Treasure, Katie Rowlands, Valentina Cardi, Suman Ambwani, David McDaid, Jodie Lord, Danielle Clark Bryan, Pamela Macdonald, Eva Bonin, Ulrike Schmidt, Jon Arcelus, Amy Harrison, Sabine Landau

“…In this report, we highlight strategies deployed to address trial logistics (e.g. enrolment, retention), challenges (e.g. modest uptake) and the vital role of people with lived experience at every stage of the research process. We hope that these lessons learned will be beneficial to future treatment researchers. …”
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Optimization design of structural parameters of fan diaphragm coupling under the high torque by SUN Jiaxin, CAI Anwen, HU Weihui, DU Jing, SUN Weiwei, QIN Zhongzheng

“…ObjectiveThe existing research on diaphragm couplings mainly focuses on the mechanical performance of different types of diaphragm couplings and the optimization of diaphragm size and shape through various optimization algorithms. …”
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Forestry climate adaptation with HarvesterSeasons service—a gradient boosting model to forecast soil water index SWI from a comprehensive set of predictors in Destination Earth by Mikko Strahlendorff, Anni Kröger, Golda Prakasam, Miriam Kosmale, Mikko Moisander, Heikki Ovaskainen, Asko Poikela

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Tumor-specific PET tracer imaging and contrast-enhanced Mri based tumor volume differences inspection of glioblastoma patients by Irshad Ahmed Abbasi, Mohammed Alshehri, Yahya AlQahtani

“…These methods encompassed adaptive threshold algorithms, batch processing pipelines, and image attribute extraction algorithms. …”
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Picture Fuzzy Concept Lattice Models for Knowledge Structure Analysis by Chen Zhang, Zengtai Gong

“…Knowledge space theory is a theory that uses mathematical language to evaluate learners’ knowledge and guide future learning, belonging to the research field of mathematical psychology. Existing research results mainly focus on classical knowledge spaces, while insufficient attention has been paid to the uncertainty of data in practical problems. …”
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Spatiotemporal Gap‐Filling of NASA Deep Blue Satellite Aerosol Optical Depth Over the Contiguous United States (CONUS) Using the UNet 3+ Architecture by Jeffrey S. M. Lee, S. Marcela Loría‐Salazar, Heather A. Holmes, Andrew M. Sayer

“…Abstract Due to sensor and algorithmic constraints, satellite aerosol optical depth (AOD) retrievals are spatially incomplete and have gaps caused by clouds and bright surfaces. …”
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Admission Control Methods in IP Networks by Erik Chromy, Marcel Jadron, Tomas Behul

“…The core of the paper is simulation of AC methods and algorithms for topology model in MATLAB. Our simulations are mainly focused on required bandwidth and loss rates. …”
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Remote sensing reveals the role of forage quality and quantity for summer habitat use in red deer by Thomas Rempfler, Christian Rossi, Jan Schweizer, Wibke Peters, Claudio Signer, Flurin Filli, Hannes Jenny, Klaus Hackländer, Sven Buchmann, Pia Anderwald

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Treatment Tactics and Complications After Surgical Treatment of HIV-Infected Patients With Extra-Articular Fractures of the Long Bones of Extremities by N. G. Doronin, S. N. Khoroshkov, M. V. Naumenko

“…HIV-infected patients are mainly characterized by non-infectious complications from the postoperative wound (formation of seromas, hematomas, dehiscence of the edges of wounds, delayed healing), aseptic loosening and migration of fixators, and delayed consolidation of fractures. …”
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Benefits and Challenges of AI-Based Digital Twin Integration in the Saudi Arabian Construction Industry: A Correspondence Analysis (CA) Approach by Aljawharah A. Alnaser, Haytham Elmousalami

“…The Fourth Industrial Revolution (4IR) has accelerated the construction industry’s shift toward digital transformation. This progress is mainly driven by the emergence of innovative technologies, including artificial intelligence (AI) and digital twins (DTs). …”
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Harnessing AI and Quantum Computing for Revolutionizing Drug Discovery and Approval Processes: Case Example for Collagen Toxicity by David Melvin Braga, Bharat Rawal

“…To support this argument, 83 academic publications were reviewed, pharmaceutical manufacturers were interviewed, and AI was used to run computational data for determining the toxicity of collagen as a case example. The research evidence to date has mainly focused on the ability to create computational in silico data for comparison to actual laboratory data and the use of these data to discover or approve newly discovered drugs. …”
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Review of Virtual Power Plant Response Capability Assessment and Optimization Dispatch by Junhui Huang, Hui Li, Zhaoyun Zhang

“…Next, we critically examine core technologies in the dispatch optimization layer, particularly the response capacity assessment and optimal resource scheduling. Its content mainly focuses on the latest research on the aggregated resource response capability evaluation, virtual power plant dispatching optimization models, and dispatching strategies. …”
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Ontological approach to modeling innovation processes on the example of a distributed educational network of the University by D. G. Korneev, M. S. Gasparian, A. A. Mikryukov

“…At present, research in this area mainly concerns issues such as the use of multimedia technologies and simulation programs, knowledge testing technologies based on the competency model, methods for measuring the degree of satisfaction with the quality of training, and management methods based on the portfolio of students. …”
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Smart interfaces to assist the operator in the context of industry 4.0 with a 5S human-centric approach by Mario Rojas, Javier Maldonado-Romo, Juana Isabel Mendez, Pedro Ponce, Arturo Molina

“…Using the 5S principles—Social, Sustainable, Sensing, Smart, and Safe—this research evaluates the system’s impact across various dimensions. …”
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Aerosols in the Mixed Layer and Mid-Troposphere from Long-Term Data of the Italian Automated Lidar-Ceilometer Network (ALICENET) and Comparison with the ERA5 and CAMS Models by Annachiara Bellini, Henri Diémoz, Gian Paolo Gobbi, Luca Di Liberto, Alessandro Bracci, Francesca Barnaba

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Recent Advances in AlN-Based Acoustic Wave Resonators by Hao Lu, Xiaorun Hao, Ling Yang, Bin Hou, Meng Zhang, Mei Wu, Jie Dong, Xiaohua Ma

“…AlN-based bulk acoustic wave (BAW) filters have emerged as crucial components in 5G communication due to their high frequency, wide bandwidth, high power capacity, and compact size. This paper mainly reviews the basic principles and recent research advances of AlN-based BAW resonators, which are the backbone of BAW filters. …”
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A review of interactions between irrigation and evapotranspiration by Ziyuan Gong, Fei Gao, Xinyu Chang, Tianqi Hu, Yaping Li

“…Facing the severe situation of global warming and water shortage, the research of hydrological cycle and regional scale climate has been paid more and more attention. …”
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A Novel RMS-Driven Deep Reinforcement Learning for Optimized Portfolio Management in Stock Trading by Asma Sattar, Amna Sarwar, Saira Gillani, Maryam Bukhari, Seungmin Rho, Muhammad Faseeh

“…The findings of this research indicate that the integrated model, mainly the DDPG_RMS effectively outperforms the baseline ^DJI index in many risk-return analyses in ratios showing better risk management, and profitability. …”
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