Exploring a high-level programming model for the NWP domain using ECMWF microphysics schemes by S. Ubbiali, C. Kühnlein, C. Schär, L. Schlemmer, T. C. Schulthess, T. C. Schulthess, M. Staneker, H. Wernli

“…The focus of the current work is the IFS prognostic cloud microphysics scheme, a core physical parametrization represented by a comprehensive code that takes a significant share of the total forecast model execution time. …”
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Detecting anomalies in smart wearables for hypertension: a deep learning mechanism by C. Kishor Kumar Reddy, Vijaya Sindhoori Kaza, R. Madana Mohana, Mohammed Alhameed, Fathe Jeribi, Shadab Alam, Mohammed Shuaib

“…Future work will focus on enhancing cloud-based infrastructures for real-time analysis and refining anomaly detection models to improve patient outcomes.…”
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ASSESSING THE RESULTS OF TRAINING IN DIGITAL ENTREPRENEURSHIP IN THE AGE OF HIGH AND DEEP TECH by Oleg Kaminsky, Julia Yereshko, Sergii Kyrychenko, Maryna Duchenko

“…The massive penetration of network software applications and cloud services forces businesses to digitize their processes and provide innovative products and services. …”
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The role of climate change in the movement of climatic seasons in Iran by mahnaz Aziz Ebrahim, Mohammad Saligheh, Mohammad hossein Nassrzadeh, Bohlol Alijani

“…To do this, temperature, relative humidity, water vapor, wind and cloud data for 36 stations were received from the Meteorological Agency over 40 years. …”
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ALGUNAS APLICACIONES RECIENTES DE LA TÉCNICA DE RADIO OCULTAMIENTO SATELITAL EN EL ESTUDIO DE PROCESOS ATMOSFÉRICOS by Alejandro de la Torre, Pedro Alexander, Pablo Llamedo, Rodrigo Hierro, Horacio Pessano, Andrés Odiard

“…From atmospheric profiles of refractivity and an atmospheric model, several parameters are obtained: from temperature (T), pressure, geopotential height and water vapor to minor species as aerosols, cloud liquid water and ionospheric electron density. …”
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Forecasting US data center CO2 emissions using AI models: emissions reduction strategies and policy recommendations by Rohan Jha, Rishabh Jha, Mazhar Islam

“…Data centers are poised for unprecedented growth due to a revolution in Artificial Intelligence (AI), rise in cryptocurrency mining, and increasing cloud demand for data storage. A sizable portion of the data centers’ growth will occur in the US, requiring a tremendous amount of power. …”
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LTEM: Lightweight Trust Evaluation Model in IoT Environment by Somya Abdulkarim Alhandi, Hazalila Kamaludin, Nayef Abdulwahab Mohammed Alduais, Noor Zuraidin Mohd Safar, Salama A. Mostafa

“…Furthermore, utilizing cloud-based packet evaluation frameworks frequently leads to inaccuracies, unreliability, and energy inefficiencies owing to the transfer of untrusted data. …”
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Benchmarking data-driven inversion methods for the estimation of local CO₂ emissions from synthetic satellite images of XCO₂ and NO₂ by D. Santaren, J. Hakkarainen, G. Kuhlmann, E. Koene, F. Chevallier, I. Ialongo, H. Lindqvist, J. Nurmela, J. Tamminen, L. Amorós, D. Brunner, G. Broquet

“…These ensembles are used to analyze the sensitivity of performance to (1) data loss due to cloud cover, (2) uncertainty in the wind, or (3) the added value of simultaneous NO<span class="inline-formula">₂</span> images. …”
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Turbulent energy budget analysis based on coherent wind lidar observations by J. Xian, J. Xian, Z. Qiu, H. Luo, Y. Hu, X. Lin, C. Lu, Y. Yang, H. Yang, N. Zhang, N. Zhang

“…We explore the generation and dissipation mechanisms of turbulence under different weather conditions, and find that the buoyancy generation term plays a role in dissipating TKE under low-cloud and light-rain conditions. During the day, turbulent transport and the dissipation rate are the main dissipation terms, while buoyancy generation is the main dissipation term at night. …”
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Characterization of the Liquid Fuel Produced from Catalytic Depolymerization of Polymeric Waste Using Batch Reactor by O. L. Rominiyi, M. A. Akintunde, E. I Bello, L. Lajide, O. M. Ikumapayi, O. T. Laseinde and B. A. Adaramola

“…The results of the physiochemical properties of the samples show that the density, API gravity, Kinematic viscosity and Flash point vary from 0.76-0.83 (g/cm3), 38.98-54.68, 17-2.80 (cm2/s) and 50.0-70.0 (°C) respectively while Cloud point, Pour point, Fire point and Cetane index range from -20-15.0 (°C), -23-7 (°C), 61.0-79.0 (°C) and 38.50-47.0. …”
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Fast Rate Production of Biodiesel from Neem Seed Oil Using a Catalyst Made from Banana Peel Ash Loaded with Metal Oxide (Li-CaO/Fe2 (SO4)3) by Ismail J. Madai, Yusufu Abeid Chande Jande, Thomas Kivevele

“…It is important to note that the physicochemical properties of biodiesel in this study such as initial boiling points, flash point, pour point, cloud point, density, kinematic viscosity, final boiling points, and cetane index met ASTM D-6751 and EN 14214 standards. …”
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Aplicación de la Metodología OOWS y el Marco Ágil Scrum en el Diseño del “Chat Corporativo” by Miriam López Sanluis, Elizabeth Cuatecontzi Cuahutle, María Guadalupe Medina Barrera, María Janaí Sánchez Hernández, José Juan Hernández Mora

“…Como trabajo futuro, se propuso migrar el chat a una plataforma Cloud Computing para aprovechar las ventajas como la escalabilidad, alta disponibilidad y seguridad que estas tecnologías ofrecen. …”
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Synoptic and Mesoscale Atmospheric Patterns That Triggered the Natural Disasters in the Metropolitan Region of Belo Horizonte, Brazil, in January 2020 by Thaís Aparecida Cortez Pinto, Enrique Vieira Mattos, Michelle Simões Reboita, Diego Oliveira de Souza, Paula S. S. Oda, Fabrina Bolzan Martins, Thiago Souza Biscaro, Glauber Willian de Souza Ferreira

“…The South Atlantic Convergence Zone, coupled with a low-pressure system off the southeast coast of Brazil, was the predominant synoptic pattern responsible for creating favorable conditions for precipitation during the studied period. Clouds and precipitating cells, with cloud-top temperatures below −65 °C, over several days contributed to the high precipitation volumes and lightning activity. …”
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Do People Believe They Are Less Predictable Than Others? Three Replications of Pronin and Kugler’s (2010) Experiment 1 by Subramanya Prasad Chandrashekar, Stephanie Permut, Hallgeir Sjåstad, Chelsea (Chi Wing) Lo, Yong Jun Kueh, Emily Sihui Zhong, Kai Hin Wan, Kai Yi Kelly Choy, Man Chung Wong, Stanley Wei Jian Hugh, Khan Tahira, Bo Ley Cheng, Gilad Feldman

“…We conducted three pre-registered replications of this study, one with a Hong Kong undergraduate sample (N = 47) and two online samples from the USA (MTurk using CloudResearch: N = 126, Prolific: N = 858) (overall N = 1031). …”
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Leveraging two-dimensional pre-trained vision transformers for three-dimensional model generation via masked autoencoders by Muhammad Sajid, Kaleem Razzaq Malik, Ateeq Ur Rehman, Tauqeer Safdar Malik, Masoud Alajmi, Ali Haider Khan, Amir Haider, Seada Hussen

“…To acquire the input point cloud’s multi-view visual characteristics, we first use pre-trained 2D models. …”
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RETRACTED ARTICLE: Enhancing MPPT performance for partially shaded photovoltaic arrays through backstepping control with Genetic Algorithm-optimized gains by Serge Raoul Dzonde Naoussi, Kenfack Tsobze Saatong, Reagan Jean Jacques Molu, Wulfran Fendzi Mbasso, Mohit Bajaj, Mohamed Louzazni, Milkias Berhanu, Salah Kamel

“…The presence of variable weather conditions in Maroua, including potential partial shadowing caused by cloud cover or urban buildings, poses challenges to the efficiency of solar systems. …”
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Security systems’ status with the use of technical means of video recording and video surveillance: international experience, perspectives for implementation in the activities of t... by V. A. Korshenko, V. V. Chumak, M. V. Mordvyntsev, D. V. Pashniev

“…It has been found out that such countries (EU, USA, China, Russia) install modern “smart” CCTV cameras, the information from which is sent to modern situational centers, where it is processed by using artificial intelligence, neural networks and cloud infrastructure. Certain types of cameras even have the ability to independently process the received information. …”
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Advanced artificial intelligence with federated learning framework for privacy-preserving cyberthreat detection in IoT-assisted sustainable smart cities by Mahmoud Ragab, Ehab Bahaudien Ashary, Bandar M. Alghamdi, Rania Aboalela, Naif Alsaadi, Louai A. Maghrabi, Khalid H. Allehaibi

“…However, it has additionally made cloud and IoT frameworks vulnerable to cyberattacks, production cybersecurity major concerns, mainly for the growth of trustworthy IoT networks, particularly those empowering smart city systems. …”
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Divergent Responses of Grassland Productivity to Large-Scale Atmospheric Circulations Across Ecoregions on the Mongolian Plateau by Cuicui Jiao, Xiaobo Yi, Ji Luo, Ying Wang, Yuanjie Deng, Xiao Guo

“…Temperature was a secondary yet important factor influencing ANPP variations in the Ordos Plateau arid steppe. Cloud cover affected ANPP in Sukhbaatar and central Dornod, Mongolia. (3) The Atlantic Multidecadal Oscillation affected ANPP by regulating temperature in the Ordos Plateau arid steppe ecoregion, whereas precipitation occurred in the other ecoregions. …”
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Use of Antibiotics in Companion Animals from 133 German Practices from 2018 to 2023 by Roswitha Merle, Leonie Feuer, Katharina Frenzer, Jan-Lukas Plenio, Astrid Bethe, Nunzio Sarnino, Antina Lübke-Becker, Wolfgang Bäumer

“…<b>Methods</b>: Antibiotic usage data were obtained from debevet, a cloud-based veterinary practice management software based in Berlin, Germany. …”
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