A Reliable Generative Adversarial Network Approach for Climate Downscaling and Weather Generation by Neelesh Rampal, Peter B. Gibson, Steven Sherwood, Gab Abramowitz, Sanaa Hobeichi

“…The cGAN generates plausible residuals on top of the predictable expectation state produced by a deterministic deep learning algorithm. The skill of cGANs is highly sensitive to a hyperparameter known as the weight of the adversarial loss (λadv), where the value of λadv required for accurate results varies with season and performance metric, casting doubt on the reliability of cGANs as usually implemented. …”
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GnRH pulse generator activity in mouse models of polycystic ovary syndrome by Ziyue Zhou, Su Young Han, Maria Pardo-Navarro, Ellen G Wall, Reena Desai, Szilvia Vas, David J Handelsman, Allan E Herbison

“…The frequency of ARNKISS neuron SEs was significantly increased in algorithm-identified ‘diestrous stage’ PNA mice compared to controls. …”
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Risk of adverse cardiovascular events based on common genetic variants in 8-year follow-up of the LIPIDOGEN2015 population using the polygenic risk score (PRS): study design and me... by Maciej Banach, Martyna Fronczek, Tadeusz Osadnik, Agnieszka Gach, Dominik Strapagiel, Marcin Słomka, Mateusz Lejawa, Anna Goc, Ewa Boniewska-Bernacka, Anna Pańczyszyn, Gregory Y.H. Lip, Dimitri P. Mikhailidis, Peter P. Toth, Peter E. Penson, Jacek Jóźwiak

“…Conclusions The developed PRS scale, combined with clinical covariates, will facilitate the creation of an algorithm to predict long-term mortality. This will enable us to stratify CVD risk more precisely, which may result in earlier implementation of lifestyle changes and dietary adjustments and potentially initiate earlier pharmacotherapy for at-risk individuals.…”
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XCO₂ Data Full-Coverage Mapping in China Based on Random Forest Models by Ruizhi Chen, Zhongting Wang, Chunyan Zhou, Ruijie Zhang, Huizhen Xie, Huayou Li

“…Using the random forest algorithm, a complex relationship model was established between XCO₂ concentrations and various environmental variables. …”
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Machine learning validation of the AVAS classification compared to ultrasound mapping in a multicentre study by Katerina Lawrie, Petr Waldauf, Peter Balaz, Radoslav Bortel, Ricardo Lacerda, Emma Aitken, Krzysztof Letachowicz, Mario D’Oria, Vittorio Di Maso, Pavel Stasko, Antonio Gomes, Joana Fontainhas, Matej Pekar, Alena Srdelic, VAVASC Study Group, Stephen O’Neill

“…We modelled pVA and cVA using the Random Forest algorithm. Model performance was estimated and compared using Bayesian generalized linear models. …”
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The combined effectiveness of acoustic indices in measuring bird species richness in biodiverse sites in Cyprus, China, and Australia by Christos Mammides, Pan Wuyuan, Guohualing Huang, Rachakonda Sreekar, Christina Ieronymidou, Aiwu Jiang, Eben Goodale, Harris Papadopoulos

“…Using the Boruta feature selection algorithm and random forest regressors, we find that the effectiveness of the indices varies considerably across study areas, and it is generally lower than what would be required to monitor bird species richness accurately (R2Cyprus = 0.06, R2China = 0.31, R2Australia = 0.52). …”
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Extracting Regular Building Footprints Using Projection Histogram Method from UAV-Based 3D Models by Yaoyao Ren, Xing Li, Fangyuqing Jin, Chunmei Li, Wei Liu, Erzhu Li, Lianpeng Zhang

“…Subsequently, we employ 2D indexing and counting grids for efficient data processing and utilize a sophisticated connected component labeling algorithm to precisely identify the extents of the roofs. …”
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Laser-induced breakdown spectroscopy applied to cattle compost for phosphorus quantification by Alberto Lencina, Gustavo Romagnoli, Andrea Alonso, Noelia Ramos, Cristian D’Angelo, Lina Lett, Silvia Mestelan

“…Randomized calibrations through a modified version of the Kennard-Stone algorithm based on the Mahalanobis distance were performed.Results Dry matter varied from 40% to 90%, and no pattern was found related to compost origin, maturity, or stability. …”
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New Evaluation Method for Fuzzy Cluster Validity Indices by Ismay Perez-Sanchez, Miguel Angel Medina-Perez, Raul Monroy, Octavio Loyola-Gonzalez, Andres Eduardo Gutierrez-Rodriguez

“…The experiments are conducted evaluating the partitions generated by the fuzzy c-means clustering algorithm over 84 UCI datasets with 31 fuzzy CVIs. …”
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Quantum Vulnerability Analysis to Guide Robust Quantum Computing System Design by Fang Qi, Kaitlin N. Smith, Travis LeCompte, Nian-feng Tzeng, Xu Yuan, Frederic T. Chong, Lu Peng

“…The QVA determines the cumulative quantum vulnerability (CQV) of the target quantum computation, which quantifies the quantum error impact based on the entire algorithm applied to the target quantum machine. By evaluating the CQV with well-known benchmarks on three 27-qubit quantum computers, the CQV success estimation outperforms the estimated probability of success state-of-the-art prediction technique by achieving on average six times less relative prediction error, with best cases at 30 times, for benchmarks with a real SR rate above 0.1%. …”
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Parametric Design and Mechanical Characterization of a Selective Laser Sintering Additively Manufactured Biomimetic Ribbed Dome Inspired by the Chorion of Lepidopteran Eggs by Alexandros Efstathiadis, Ioanna Symeonidou, Emmanouil K. Tzimtzimis, Dimitrios Avtzis, Konstantinos Tsongas, Dimitrios Tzetzis

“…A parametric design algorithm was created with the aid of computer-aided design (CAD) software Rhinoceros 3D and Grasshopper3D in order to abstract and emulate the biological model. …”
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Unraveling the interplay between NDVI, soil moisture, and snowmelt: A comprehensive analysis of the Tibetan Plateau agroecosystem by Di Wei, Lin Yan, Ziqi Zhang, Jia Yu, Xue’er Luo, Yun Zhang, Bo Wang

“…Using geostatistical methods such as trend analysis, cross-correlation, random forest algorithm, and Granger causality, we explore the temporal dynamics and causal relationships among these ecological variables. …”
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Hydrogen Leakage Location Prediction in a Fuel Cell System of Skid-Mounted Hydrogen Refueling Stations by Leiqi Zhang, Qiliang Wu, Min Liu, Hao Chen, Dianji Wang, Xuefang Li, Qingxin Ba

“…The results show that the algorithm can predict leakage locations not included in the training set. …”
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Advanced Machine Learning and Deep Learning Approaches for Estimating the Remaining Life of EV Batteries—A Review by Daniel H. de la Iglesia, Carlos Chinchilla Corbacho, Jorge Zakour Dib, Vidal Alonso-Secades, Alfonso J. López Rivero

“…In addition, we discuss the ethical implications of DL in RUL estimation, addressing concerns about privacy and algorithmic bias. By synthesizing current knowledge, identifying key research directions, and suggesting methodological improvements, this review serves as a central guide for researchers and practitioners in the rapidly evolving field of EV battery management. …”
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Enhancing Campus Mobility: Simulated Multi-Objective Optimization of Electric Vehicle Sharing Systems Within an Intelligent Transportation System Frameworks by Omar S. Aba Hussen, Shaiful J. Hashim, Nasri Sulaiman Member, S.A.R. Alhaddad, Bassam Y. Ribbfors, Masanobu Umeda, Keiichi Katamine

“…A simulation model was developed in MATLAB, utilizing the Non-dominated Sorting Genetic Algorithm (NSGA-II), a powerful multi-objective optimization technique that balances conflicting objectives to achieve the best trade-offs for operational efficiency. …”
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Novel Bat‐Monitoring Dataset Reveals Targeted Foraging With Agricultural and Pest Control Implications by Brian Lee, Samantha Sambado, D. Nākoa Farrant, Anna Boser, Kacie Ring, David Hyon, Ashley E. Larsen, Andrew J. MacDonald

“…In this study, we use a weather‐radar‐based bat‐monitoring algorithm to estimate bat foraging distributions during the peak season of 2019 in California's Northern Central Valley. …”
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The Voltage-Ear – An Anomaly in Photovoltaic Systems With Undersized Inverters by Ernst Wittmann, Claudia Buerhop-Lutz, Vincent Christlein, Jens Hauch, Christoph J. Brabec, Ian Marius Peters

“…Instances of the phenomena were detected and segmented using a K-means sorting algorithm, which yielded a perfect recall value. Analysis of the identified voltage ear conditions showed, that it occurs predominantly during seasons of high irradiance and cool temperatures. …”
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Echinococcal Cyst Blockade — the Rare Cause of Acute Pancreatitis and Obstructive Jaundice by S. A. Budzinskiy, S. G. Shapovaliants, R. V. Plakhov, M. V. Murashkina, E. A. Vorobyeva, D. R. Berdieva, P. V. Usyaky, E. D. Fedorov

“…Aim: demonstrate an algorithm for the diagnosis and treatment of acute pancreatitis and obstructive jaundice caused by obstruction of the terminal part of the common bile duct by daughter echinococcal cyst.Key points. …”
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PCR-detection rates of T. pallidum ssp. pallidum in swab samples from the Czech Republic (2004–2022): Combined RPR, IgM, and PCR tests efficiently detect active syphilis by Eliška Vrbová, Petra Pospíšilová, Eliška Dastychová, Martina Kojanová, Miluše Kreidlová, Daniela Vaňousová, Filip Rob, Přemysl Procházka, Alena Krchňáková, Vladimír Vašků, Radim Strnadel, Olga Faustmannová, Monika Dvořáková Heroldová, Ivana Kuklová, Hana Zákoucká, David Šmajs

“…Our findings show that the reverse algorithm for detecting syphilis could be substantially improved by adding IgM and PCR testing.…”
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Identifying neurobiological heterogeneity in clinical high-risk psychosis: a data-driven biotyping approach using resting-state functional connectivity by Xiaochen Tang, Yanyan Wei, Jiaoyan Pang, Lihua Xu, Huiru Cui, Xu Liu, Yegang Hu, Mingliang Ju, Yingying Tang, Bin Long, Wei Liu, Min Su, Tianhong Zhang, Jijun Wang

“…Functional connectivity (FC) features that were correlated with symptom severity were subjected to the single-cell interpretation through multikernel learning (SIMLR) algorithm in order to identify latent homogeneous subgroups. …”
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