Sensitivity Study on the Influence of Parameterization Schemes in WRF_ARW Model on Short- and Medium-Range Precipitation Forecasts in the Central Andes of Peru by Aldo S. Moya-Álvarez, Daniel Martínez-Castro, José L. Flores, Yamina Silva

“…Spatial verification showed that, even if all the configurations overestimated precipitation in some degree, spatial patterns of rainfall match the TRMM and PISCO rainfall data. …”
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Quantitative assessment method for firefighting danger based on numerical simulation of forest fire spread in canyon wind fields. by Ao Wang, Chenghu Wang, Guiyun Gao, Ningyu Wu, Haiyan Su

“…Forest firefighting incidents frequently occur in mountainous and canyon regions which are characterized by complex topography, primarily because of variable local wind patterns that create conditions conducive to the spread of forest fires. …”
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An innovative method for measuring the hysteresis effects of soil moisture on meteorological variables at various time scales and climate conditions by Qing Tian, Jianzhong Lu, Xiaoling Chen

“…On an annual scale, precipitation (temperature, evapotranspiration) lagged by roughly 0 to 2 months in the upper and middle regions and by －2 to －6 months in the lower region of the YRB. The contribution rates of meteorological elements on soil moisture were enhanced by taking lag time into account. …”
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Seismic Constraints on the Spin Evolution of Slowly Rotating Young Intermediate-mass Stars by Kunal H. Singh, Subrata Kumar Panda, Shravan M. Hanasoge, Siddharth Dhanpal

“…However, their complex and unexplained oscillation patterns restrict analyses to only a small fraction with interpretable pulsations. …”
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Trends in Myocardial Infarction risk by HIV status in two U.S. healthcare systems. by Alexandra N Lea, Asya Lyass, Leo B Hurley, Rachel Q Ehrbar, Taylor F Mahoney, Leila H Borowsky, Wei He, Jorge Plutzky, Virginia A Triant, Michael J Silverberg

“…Real world evidence on whether the increased burden of MI in people with HIV is sustained over time is essential for understanding cardiovascular disease (CVD) patterns, optimizing management, and identifying unmet needs. …”
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Microbial responses to antibiotics cryptically shift the direction of disease outcomes by Isabela Velasquez, Kyra Ricci, Eve Milusich, Bryon F. Tuthill, Karin Sauer, Obed Hernández-Gómez, Jessica Hua

“…Abstract Diseases are emerging at unprecedented rates, prompting global efforts to understand factors shaping disease outcomes. …”
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Dormancy-breaking of foxtail millet seeds (Setaria italica L. Beauv.) using ultra-fine bubble water and plasma technology by Putri A. DHIFA, Mohamad R. SUHARTANTO, Sintho W. ARDIE, Yohanes A. PURWANTO

“…Both UFB and PAW treatments significantly increased germination rates and speed, reduced dormancy intensity, and shortened the after-ripening period, down to two weeks for ICERI-6 and three weeks for Botok-10, demonstrating that these technologies are effective, chemical-free alternatives for breaking seed dormancy and improving germination in foxtail millet. …”
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Development and validation of a questionnaire for assessing pathomorphoisis and pathoplasty of stereotypes in autism spectrum disorders and schizophrenia in childhood by L. Zh. Attaeva, I. V. Makarov

“…Identification of specific patterns of atypical behavior in these disorders can improve the specificity of diagnoses and monitor response to treatment. …”
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Two-phase micropolar nanofluid flow in an isothermal extending porous sheet with heat radiation and chemical interaction: Numerical study by MD. Shamshuddin, Fakhraldeen Gamar, S.O. Salawu, B. Prabhakar Reddy

“…The important characteristics of the fluid speed, thermal transport, and solute profiles are explained by the graphs and friction-drag, rate of thermal and solutal portages by the tables. …”
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A Comprehensive Study of Deep Learning Approaches for Predicting Reciprocal Traffic Dynamics and Climate Variability by Abrar Ali, Wadhah R. Baiee

“…The main findings from our study also suggest that the traffic forecasting patterns by deep learning models may contribute to 15% improvement over the traditional statistical method. …”
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Pediatric urinary tract infection and prevalence of antibiotics resistance – A retrospective study in the Qassim region by Yasir S. Alkhalifah, Hassan El Khatib

“…Objective: This study aimed to evaluate the prevalence of uropathogens and their antibiotic resistance patterns in community-acquired urinary tract infections (UTIs) among children in the Qassim region. …”
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Cavy lifespan: survival analysis and lifetables for the pet guinea pig (Cavia porcellus, L.) in Britain by Fernando Mata

“…The study also highlights low neutering rates, likely influenced by concerns over surgical risks. …”
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MINN: A metabolic-informed neural network for integrating omics data into genome-scale metabolic modeling by Gabriele Tazza, Francesco Moro, Dario Ruggeri, Bas Teusink, László Vidács

“…While Machine Learning (ML) models can uncover complex patterns and relationships within these data, they require large datasets for training and often lack interpretability. …”
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THE IMPACT OF NATURAL GAS CONSUMPTION ON ENERGY SUSTAINABILITY AND THE SUSTAINABLE DEVELOPMENT OF THE AGRICULTURAL SECTOR by Maricel CAZACU, Liviu MARCUTA, Alina MARCUTA, Cristiana TINDECHE, Nicolae MINEA

“…This study aims to investigate the relationship between variations in gas consumption and sustainable agricultural growth, as well as to detect patterns in natural gas consumption within the European Union and analyze their effects on sustainability. …”
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Automated Business Decision-Making Using Generative AI in Online A/B Testing: Comparative Analysis With Human Decision-Making by Changhak Sunwoo, Hyunjin Kwon, Jong Min Kim, Ho-Hyun Lim, Yongwoo Kim, Dongwook Hwang, Jingoo Kim

“…Utilizing 1,407 experimental cases from 48 companies on the Hackle online experimentation platform, the study compares decision-making outcomes between experiment designers and Generative AI, analyzing agreement rates and identifying patterns across companies. …”
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Synchronized Survey Scan Approach Allows for Efficient Discrimination of Isomeric and Isobaric Compounds during LC-MS/MS Analyses by Keabetswe Masike, Ntakadzeni Madala

“…Due to increasing scanning rates of recent MS instruments, it is now possible to operate MS instruments both in the static and dynamic modes. …”
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Integration of FEM-based permeation analysis and AI-based predictive models for improved chemical grout permeation assessment in heterogeneous soils by Khin Nyein Chan Kyaw, Kuo Chieh Chao, Shinya Inazumi

“…FEM analysis was conducted to investigate grout flow patterns and permeation risks in such soils, revealing that proximity to low-permeability zones significantly influences flow velocity and grout distribution. …”
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Detection of Cisplatin Resistance in Bladder Cancer Using Machine Learning by Moditha Reddy Jagannatha Reddy, Mrudula Ranganatha, Shanthala Lakshminarayana, Jayoung Kim, Sungyong Jung, Yuze Sun, Hyusim Park

“…This work provides valuable insights into the role of methylation patterns in BC recurrence and offers potential for personalized therapeutic strategies aimed at overcoming cisplatin resistance and improving clinical outcomes.…”
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Risk factors for adverse prognosis and death in American visceral leishmaniasis: a meta-analysis. by Vinícius Silva Belo, Claudio José Struchiner, David Soeiro Barbosa, Bruno Warlley Leandro Nascimento, Marco Aurélio Pereira Horta, Eduardo Sérgio da Silva, Guilherme Loureiro Werneck

“…<h4>Background</h4>In the current context of high fatality rates associated with American visceral leishmaniasis (VL), the appropriate use of prognostic factors to identify patients at higher risk of unfavorable outcomes represents a potential tool for clinical practice. …”
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Pathogen-specific epitopes as epidemiological tools for defining the magnitude of Mycobacterium leprae transmission in areas endemic for leprosy. by Marcia V S B Martins, Marjorie M da S Guimarães, John S Spencer, Mariana A V B Hacker, Luciana S Costa, Fernanda M Carvalho, Annemieke Geluk, Jolien J van der Ploeg-van Schip, Maria A A Pontes, Heitor S Gonçalves, Janvier P de Morais, Tereza J P G Bandeira, Maria C V Pessolani, Patrick J Brennan, Geraldo M B Pereira

“…In the present study, the patterns of IFN-γ release of the individuals exposed or non-exposed to M. leprae were compared using an Artificial Neural Network algorithm, and the most promising M. leprae peptides for the identification of exposed people were selected. …”
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