Spatiotemporal Relationships between Air Quality and Multiple Meteorological Parameters in 221 Chinese Cities by Mengyi Ji, Yuying Jiang, Xiping Han, Luo Liu, Xinliang Xu, Zhi Qiao, Wei Sun

“…This study used air quality monitoring data, namely, the air pollution index (API) and air quality index (AQI) between 2005 and 2018, together with meteorological data and identified key meteorological factors that affected the spatial and temporal variation of air quality using a random forest algorithm. The spatial and temporal differences in the threshold values of different meteorological factors affecting the concentrations of PM2.5, PM10, SO2, CO, NO2, and O3 were identified. …”
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Comparison of different developmental stages of jujube (Ziziphus jujuba) fruit and identification of Hub genes by Li Yalan, Ren Tian, Qu Siyu, Hao Qing, Fan Dingyu, Alimire Alimu

“…The relationships among DEGs within each group were assessed and hub genes were identified using the degree algorithm of Cytohubba. Finally, the expression levels of these hub genes were compared across the four stages. …”
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First validation of the novel Freiburg Neurointerventional Score purposely designed for use by emergency medical dispatchers for detecting anterior circulation large-vessel occlusi... by Erik Farin-Glattacker, Christian A Taschner, Hans-Jörg Busch, Wolf-Dirk Niesen, Matthias L Herrmann, Florian F Schuchardt, Clara Franck, Simone Meier, Max Henningsen, Friederike S Brohl, Christoph Sonntag, Nicole Wimmesberger, Jochen Brich

“…We analysed the number of steps required for the completion of the FRENS algorithm.Results Among the 1042 analysed patients, the FRENS items showed high convergent validity with corresponding NIHSS items. …”
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HIV among Female Sex Workers in Five Cities in Burkina Faso: A Cross-Sectional Baseline Survey to Inform HIV/AIDS Programs by Henri Gautier Ouedraogo, Odette Ky-Zerbo, Adama Baguiya, Ashley Grosso, Sara Goodman, Benoît Cesaire Samadoulougou, Marcel Lougue, Nongoba Sawadogo, Yves Traore, Nicolas Barro, Stefan Baral, Seni Kouanda

“…HIV testing was performed using the HIV testing national algorithm. We conducted bivariate and multivariate logistic regression analysis to assess correlates of HIV in all cities combined (not RDS-adjusted). …”
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Integrated AutoML-based framework for optimizing shale gas production: A case study of the Fuling shale gas field by Tianrui Ye, Jin Meng, Yitian Xiao, Yaqiu Lu, Aiwei Zheng, Bang Liang

“…Furthermore, a bi-objective optimization algorithm named NSGA-II is seamlessly incorporated to optimize hydraulic fracturing designs for production boost and cost control. …”
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Compressive Strength of Fly-Ash-Based Geopolymer Concrete by Gene Expression Programming and Random Forest by Mohsin Ali Khan, Shazim Ali Memon, Furqan Farooq, Muhammad Faisal Javed, Fahid Aslam, Rayed Alyousef

“…The influential parameters that are considered as input variables for modelling are curing temperature T, curing time t, age of the specimen A, the molarity of NaOH solution M, percent SiO2 solids to water ratio % S/W in sodium silicate (Na2SiO3) solution, percent volume of total aggregate ( % AG), fine aggregate to the total aggregate ratio F/AG, sodium oxide (Na2O) to water ratio N/W in Na2SiO3 solution, alkali or activator to the FA ratio AL/FA, Na2SiO3 to NaOH ratio Ns/No, percent plasticizer (% P), and extra water added as percent FA EW%. RFR is an ensemble algorithm and gives outburst performance as compared to GEP. …”
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Variants of the Sliding Mode Control in Presence of External Disturbance for Quadrotor by Irfan Ahmad, Muwaida Liaquat, Fahad Mumtaz Malik, Hameed Ullah, Usman Ali

“…Secondly, kinodynamic Rapidly Exploring Random Tree with Fixed Node (RRT*FN) which is an incremental sampling-based optimal algorithm has been implemented for online navigation and flight control of the quadrotor system. …”
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Modeling quinoa growth under saline and water-limiting conditions using SWAP-WOFOST by Diana C. Estrella Delgado, Tom De Swaef, Jan Vanderborght, Eric Laloy, Gerda Cnops, Maarten De Boever, Abdelaziz Hirich, Ayoub El Mouttaqi, Sarah Garré

“…Calibration and parameter uncertainty was performed using the DiffeRential Evolution Adaptive Metropolis (DREAMzs) algorithm on key parameters identified via sensitivity analysis using the Morris method. …”
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Temporal segmentation method for 30-meter long-term mapping of abandoned and reclaimed croplands in Inner Mongolia, China by Deji Wuyun, Liang Sun, Zhongxin Chen, Luís Guilherme Teixeira Crusiol, Jinwei Dong, Nitu Wu, Junwei Bao, Ruiqing Chen, Zheng Sun, Hasituya, Hongwei Zhao

“…By employing a binary classification strategy and adaptive optimization, the efficiency of sample generation improved, providing more effective samples for the Random Forest algorithm. Cropland status maps were successfully generated for Inner Mongolia from 2000 to 2022 with annual accuracy between 97% and 99%. …”
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Assessing the impact of climate and land use change on flood vulnerability: a machine learning approach in coastal region of Tamil Nadu, India by Devanantham Abijith, Subbarayan Saravanan, K S S Parthasarathy, Nagireddy Masthan Reddy, Janardhanam Niraimathi, Ahmed Ali Bindajam, Javed Mallick, Maged Muteb Alharbi, Hazem Ghassan Abdo

“…To identify flooded areas, the study utilised Google Earth Engine (GEE), Sentinel-1 data, and 12 geospatial datasets from multiple sources. A random forest algorithm was used for LULC change and flood susceptibility mapping. …”
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Eliminating Postoperative Nausea and Vomiting in Outpatient Surgery with Multimodal Strategies including Low Doses of Nonsedating, Off-Patent Antiemetics: Is “Zero Tolerance“ Achie... by Susan J. Skledar, Brian A. Williams, Manuel C. Vallejo, Patricia L. Dalby, Jonathan H. Waters, Ronald Glick, Michael L. Kentor

“…We now propose a “zero-tolerance” antiemetic algorithm for outpatients that involves routine prophylaxis by first avoiding volatile agents and opioids to the extent possible, using locoregional anesthesia, multimodal analgesia, and low doses of three nonsedating off-patent antiemetics. …”
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Development of Genomic SSR Markers for Assessing Genetic Diversity in Korean Native <i>Fallopia multiflora</i> by Raveendar Sebastin, Ki Hyun Kim, Hye Ran Shin, Jin-Tae Jeong, Ju-Kyung Yu, Yoon-Sup So, Jong-Wook Chung

“…Clustering analysis using an unweighted pair group mean algorithm (UPGMA) with all 70 SSR markers revealed three clusters among the <i>F. multiflora</i> accessions. …”
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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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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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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&#x0025;. …”
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