Maximizing multi-source data integration and minimizing the parameters for greenhouse tomato crop water requirement prediction by Xinyue Lv, Youli Li, Lili Zhangzhong, Chaoyang Tong, Yibo Wei, Guangwei Li, Yingru Yang

“…We employed the ExG (Excess Green) algorithm and the maximum inter-class variance method to develop an algorithm for extracting canopy coverage from image segmentation. …”
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Treatment pathways and rebound-rate of prehospital viral croup attacks—data from a prehospital pediatric physician led emergency service—a prospective observational follow-up study... by Florian Hey, Florian Hey, Victoria Lieftüchter, Victoria Lieftüchter, Martin Olivieri, Martin Olivieri, Sebastian Zimatschek, Florian Hoffmann, Florian Hoffmann, Daniel Pfeiffer

“…The study aims to record the incidence, current treatment, and further care measures. Additionally feasibility and suitability of future telemedical consultations for pseudo-croup syndrome should be evaluated.MethodsA prospective observational follow-up study of children aged 0–18 years who were seen by the Munich physician-led prehospital pediatric emergency service from October 15, 2020 to April 30, 2023. …”
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Implementasi Algoritme Evolusioner NSGA-II pada Optimasi Daya Wireless Power Transfer Multi-Penerlima by Sabriansyah Rizqika Akbar, Eko Setiawan, Agung Setiabudi

“…The NSGA-II evolutionary algorithm is used to solve multi-objective-function problems and their constraints to obtain optimal parameter values. …”
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The Fetal Region-specific Optimized Growth Standard (FROGS)-A fetal and birthweight centile calculator validated in a national population. by Natasha L Pritchard, Stephen Tong, Teresa MacDonald, Elizabeth McCarthy, Lisa Hui, Michael Bethune, Hannah G Gordon, Roxanne Hastie, Emerson Keenan, Michael Permezel, Susan P Walker, Anthea C Lindquist

“…The FROGS centile algorithm is simple and transparent. It has the potential to be adapted to other local populations, or applied to clinical and research settings globally.…”
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Impact of germline BRCA1/2 status on outcomes for patients with HR+/HER2- metastatic breast cancer treated with CDK4/6 inhibitors: a systematic review and meta-analysis by Michele Bottosso, Christian Zurlo, Federica Miglietta, Anna Chiara Cattelan, Daniela Iannaccone, Maria Vittoria Dieci, Gaia Griguolo, Fabio Girardi, Valentina Guarneri

“…However, prespecified subgroup analyses from pivotal trials are lacking, and current data quality is poor given the small patient populations. …”
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The Eyes: A Source of Information for Detecting Deepfakes by Elisabeth Tchaptchet, Elie Fute Tagne, Jaime Acosta, Danda B. Rawat, Charles Kamhoua

“…Currently, the phenomenon of deepfakes is becoming increasingly significant, as they enable the creation of extremely realistic images capable of deceiving anyone thanks to deep learning tools based on generative adversarial networks (GANs). …”
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Assessing the Level of Understanding (Knowledge) and Awareness of Diagnostic Imaging Students in Ghana on Artificial Intelligence and Its Applications in Medical Imaging by James William Ampofo, Christian Ven Emery, Ishmael Nii Ofori

“…Medical imaging has benefited from AI by reducing radiation risks through algorithms used in examinations, referral protocols, and scan justification. …”
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Medical Imaging Foundation Models: Paradigm Innovation in Precision Oncology by LIU Zaiyi, ZHAO Zhihe, SHI Zhenwei

“…Based on the research background of artificial intelligence (AI) large-scale models, this article systematically reviews the current research status of medical imaging large-scale models from three key dimensions: the construction of large-scale medical imaging datasets, optimization of large-scale model algorithms, and computational resource requirements. …”
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Machine Learning Prediction of Left Ventricular Assist Device Thrombosis from Acoustic Harmonic Power by Kent D. Carlson, Dan Dragomir-Daescu, Barry A. Boilson

“…While LVAD pump thrombosis is uncommon with current pump designs, many patients worldwide remain supported with previous generations of LVADs, including the HeartWare device (HVAD). …”
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Deep Learning Techniques in the Cancer-Related Medical Domain: A Transfer Deep Learning Ensemble Model for Lung Cancer Prediction by Omar Abdullatif Jassim, Mohammed Jawad Abed, Zenah Hadi Saied Saied

“…Machine learning and its new branch (deep learning) algorithms can facilitate the way of dealing with cancer, especially in the field of cancer prevention and detection. …”
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Methodical Principles for Determination of Optimum Breaking Places of Distributive Electrical Networks with Due Account of Supply Network of 110 kV and Higher by M. I. Fursanov, A. A. Zalatoi, V. V. Makarevich, A. N. Mukha

“…A specified model and algorithm for optimization of slit points in a distributive 10 (6) kV electrical network with due account of supply network of 110 kV and higher have been developed in the paper. …”
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Interpretation of myocardial perfusion SPECT with attenuation correction. Part 2 by A. A. Ansheles, V. В. Sergienko

“…The diffuse irregularity of perfusion radiopharmaceutical tracer accumulation in the application of the current reconstruction algorithms stood out in a separate pattern as a sign of microcirculatory disturbances. …”
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Cooperative control method for multi-agent ground fracturing truck group based on offline reinforcement learning by RuYi Wang, HuiShen Jiao, YingCheng Tian, Yi Zhao, SiQi Wang, Ke Zhang, Bo Huang, QinRui Sun, DanDan Zhu

“…The core of this method is an improved algorithm based on the TD3, which is enhanced by the incorporation of the CQL algorithm to improve the stability of the collaborative control strategy. …”
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Diagnostics of the results of mastering competencies in the information environment for teaching IT students by I. A. Andrianov, A. M. Polyanskiy, S. U. Rzheutskaya, M. V. Kharina

“…Diagnostics of learning results presented in a competency-based format is currently a necessary part of the educational process of universities. …”
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A computational DNA methylation method to remove contaminated DNA from spent embryo culture medium for noninvasive preimplantation genetic testingResearch in context by Yidong Chen, Jin Huang, Fuchou Tang, Lu Wen, Jie Qiao

“…Methods: We developed a computational algorithm to eliminate contaminated nonembryonic DNA from spent embryo culture medium. …”
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Artificial Intelligent‐Enhanced Metabolite Profiling for Intraoperative IDH1 Genotyping in Glioma Using an Orthogonally Responsive SERS Probe by Hang Yin, Xin Zhang, Zheng Zhao, Chong Cao, Minhua Xu, Suhongrui Zhou, Tian Xuan, Ziyi Jin, Limei Han, Yang Fan, Cong Wang, Xiao Zhu, Ying Mao, Jinhua Yu, Cong Li

“…Additionally, a deep learning algorithm is implemented, leveraging 2D Raman spectra transformation and multi‐task learning to enhance measurement speed and accuracy. …”
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Sensorless real-time solar irradiance prediction in grid-connected PV systems using PSO-MPPT and IoT-enabled monitoring by Ali Zaki Mohammed Nafa, Adel A. Obed, Ahmed J. Abid, Salam J. Yaqoob, Mohit Bajaj, Mohammad Shabaz

“…The approach leverages the maximum power point current ( $$\:{\text{I}}_{\text{mpp}}$$ ) and voltage ( $$\:{\text{V}}_{\text{mpp}}$$ ) measured directly from a PV module to predict irradiance, utilizing a Particle Swarm Optimization (PSO)-based Maximum Power Point Tracking (MPPT) algorithm to ensure accurate tracking of power output across varying irradiance levels. …”
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Plasma proteomics-based risk scores for psoriasis prediction: a novel approach to early diagnosis by Siyu Wei, Zehong Yue, Chen Sun, Yuping Zou, Haiyan Chen, Junxian Tao, Jing Xu, Yuan Xu, Ning Wang, Yan Guo, Qinduo Ren, Chang Wang, Songlin Lu, Ye Ma, Yu Dong, Chen Zhang, Hongmei Sun, Guoping Tang, Fanwu Kong, Wenhua Lv, Zhenwei Shang, Mingming Zhang, Yongshuai Jiang, Hongchao Lyu

“…IntroductionPsoriasis is a chronic immune-mediated inflammatory skin disease with a significant global burden. Current risk assessment lacks integration of proteomic data with genetic and clinical factors. …”
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The diagnostic value of two antigenic domains derived from the Trypanosoma cruzi Tc323 protein in chronic Chagas disease: a study in Brazil by Micaela S. Ossowski, Ângelo Antônio Oliveira Silva, Ângelo Antônio Oliveira Silva, Emily Ferreira Santos, Emily Ferreira Santos, Leonardo Maia Leony, Leonardo Maia Leony, Fred Luciano Neves Santos, Fred Luciano Neves Santos, Fred Luciano Neves Santos, Karina A. Gómez

“…The diagnosis of chronic infection with the parasite Trypanosoma cruzi relies on detecting specific IgG antibodies using two or three (in the case of discordance) serological assays based on different principles. This diagnostic algorithm poses challenges in identifying patients with chronic Chagas disease (CCD), particularly in endemic areas where financial and human resources are scarce. …”
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Development of an Electro-Hydraulic System for Reverse Control of an Attachment by Anton A. Ananchikov, Nikolay N. Ishin, Dmitry V. Semashko

“…In this study, control algorithms were selected, and their parameters were justified for both automatic and manual positioning of the attachment. …”
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