Optimizing Routine Educational Tasks through Prompt Engineering: A Comparative Study of AI Chatbots by Svitlana Skvortsova, Tetiana Symonenko, Kira Hnezdilova

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Light Quality Influence on Growth Performance and Physiological Activity of <i>Coleus</i> Cultivars by Byoung Gyoo Park, Jae Hwan Lee, Eun Ji Shin, Eun A Kim, Sang Yong Nam

“…By leveraging LED technology, producers and nursery growers access enhanced energy efficiency and unparalleled versatility, paving the way for significant advancements in plant growth, color intensity, and two-tone variations. …”
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Genetic Identification of Lamprey Genera and Anadromous Ecotypes in Watersheds of the Northeastern Pacific Ocean by G. S. Silver, R. T. Lampman, N. Percival, N. Timoshevskaya, J. J. Smith, K. T. Bentley, J. Wade, S. R. Narum, J. E. Hess

“…WRL were rare in lower Columbia tributaries (~1% average rate among Lampetra) and common further north (> 40% of Lampetra). Genetic ID methods are powerful monitoring tools that create the novel ability to ascertain genera and ecotypes regardless of life stage, while increasing the efficiency of surveys by eliminating time‐intensive morphological data collection.…”
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Monitoring and Evaluation of Fish Passage Effectiveness in Nature-like Fishway of Sanghe River Secondary Hydropower Station by SHEN Chun-ying, WANG Jing-chao, QIN Xin, CHEN Yu-bin, XUE Ru-zhan

“…Migration patterns showed distinct temporal variations: 68% of fish moved upstream, with significantly greater passage efficiency during daylight hours (06:00-18:00). …”
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Increasing COVID-19 Testing and Vaccination Uptake in the Take Care Texas Community-Based Randomized Trial: Adaptive Geospatial Analysis by Kehe Zhang, Jocelyn V Hunyadi, Marcia C de Oliveira Otto, Miryoung Lee, Zitong Zhang, Ryan Ramphul, Jose-Miguel Yamal, Ashraf Yaseen, Alanna C Morrison, Shreela Sharma, Mohammad Hossein Rahbar, Xu Zhang, Stephen Linder, Dritana Marko, Rachel White Roy, Deborah Banerjee, Esmeralda Guajardo, Michelle Crum, Belinda Reininger, Maria E Fernandez, Cici Bauer

“… Abstract BackgroundGeospatial data science can be a powerful tool to aid the design, reach, efficiency, and impact of community-based intervention trials. …”
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Neuromuscular Strategies in Novice and Advanced Taekwondo Athletes During Consecutive Roundhouse Kicks by Mauricio Barramuño-Medina, Pablo Aravena-Sagardia, Pablo Valdés-Badilla, Jordan Hernandez-Martinez, Tomás Espinoza-Palavicino, Cristian Sandoval, Germán Gálvez-García

“…EMG trends were influenced by body composition, with principal component analysis indicating that higher fat mass and lower muscle mass were associated with greater variations in muscle activation. <b>Conclusions:</b> These findings suggest that advanced athletes refine motor control through increased co-contraction, improving stability and efficiency, while novices exhibit less optimized coordination patterns. …”
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Enhanced HoVerNet Optimization for Precise Nuclei Segmentation in Diffuse Large B-Cell Lymphoma by Gei Ki Tang, Chee Chin Lim, Faezahtul Arbaeyah Hussain, Qi Wei Oung, Aidy Irman Yajid, Sumayyah Mohammad Azmi, Yen Fook Chong

“…The developed GUI enabled real-time visualization and diagnostic support, enhancing the efficiency and usability of DLBCL histopathological analysis. …”
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Identification and Genetic Diversity Analysis of <i>Cucurbita</i> Varieties Based on SSR Markers by Jialong Zou, Xingting Wu, Xuejing Liu, Changcheng Peng, Yingxue Ma, Xiujie Zhang, Xuhong Yang, Shuailong Luo, Weigeng Xing, Hao Hong, Lang Li, Bin Tan, Ruonan Jing, Zhenjiang Xu

“…Our research results provide a new tool for population genetic analysis, variety identification, and protection in <i>Cucurbita</i> cultivars with high efficiency, accuracy, and lower costs compared to conventional methods.…”
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Assessing Impacts of Hydropower Development on Downstream Inundation Using a Hybrid Modeling Framework Integrating Satellite Data‐Driven and Process‐Based Models by Son K. Do, Tien L. T. Du, Hyongki Lee, Chi‐Hung Chang, Duong D. Bui, Ngoc T. Nguyen, Kel N. Markert, Johan Strömqvist, Peeranan Towashiraporn, Stephen E. Darby, Linh K. Bui

“…However, while the former fails to isolate hydropower impacts from climate variations, the latter suffers from extensive input data requirements and high computational burden. …”
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Black-box and white-box machine learning tools to estimate the frost formation condition during cryogenic CO2 capture from natural gas blends by Farag M.A. Altalbawy, Fadhel F. Sead, Dharmesh Sur, Anupam Yadav, José Gerardo León Chimbolema, Suhas Ballal, Abhayveer Singh, Anita Devi, Kamal Kant Joshi, Nizomiddin Juraev, Hossein Mahabadi Asl

“…Precise estimation of the CO2 frost formation temperature (FFT) is vital for optimizing CCC processes and maximizing efficiency. This study deals with the development of machine learning models for predicting the FFT of CO2 in natural gas blends. …”
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Analysis of two Nocardia brasiliensis class A β-lactamases (BRA-1 and BRS-1) and related resistance to β-lactam antibiotics by Aimee Songo, Hervé Jacquier, Maxime Danjean, Fabrice Compain, Delphine Dorchène, Zainab Edoo, Paul-Louis Woerther, Michel Arthur, David Lebeaux

“…Analysis of the nine clinical strains showed variations in susceptibility to cefotaxime, as well as diversity in genetic backgrounds and BRA-1 sequences. …”
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No-tillage practice enhances soil total carbon content in a sandy Cyperus esculentus L. field by Cong Wang, Yuxiang Hu, Hui Wu, Zhirui Wang, Jiangping Cai, Heyong Liu, Wei Ren, Ning Yang, Zhengwen Wang, Yong Jiang, Hui Li

“…In our field experiments, the influence of NT and conventional tillage (CT) on sandy soil was studied. Methods We estimated the changes in soil TC in response to NT practice in a Cyperus esculentus L. field located at semi-arid Horqin sandy land, China. …”
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Toward a learnable Artificial Intelligence Model for Aerosol Chemistry and Interactions (AIMACI) based on the Multi-Head Self-Attention algorithm by Z. Xia, C. Zhao, C. Zhao, C. Zhao, Z. Yang, Q. Du, J. Feng, C. Jin, J. Shi, H. An, H. An

“…<p>Simulating aerosol chemistry and interactions (ACI) is crucial in climate and atmospheric modeling, yet conventional numerical schemes are computationally intensive due to the stiff differential equations and iterative methods involved. While artificial intelligence (AI) has demonstrated potential in accelerating photochemistry simulations, it has not been applied for simulating the full ACI processes, which encompass not only chemical reactions but also other processes, such as nucleation and coagulation. …”
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Utilization of Ultrasonic-Assisted Extraction for Bioactive Compounds from Floral Sources by Sepidar Seyyedi-Mansour, Pauline Donn, Maria Carpena, Franklin Chamorro, Paula Barciela, Ana Perez-Vazquez, Ana Olivia S. Jorge, Miguel A. Prieto

“…As a “green extraction” technique, UAE minimizes use of organic solvents, energy consumption, and extraction time, making it a sustainable alternative to traditional extraction methods. On the other hand, flowers serve as a valuable reservoir of bioactive compounds. …”
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Influence of non-thermal maturity factors on laser Raman spectroscopy of highly to overmature shale: a case study of Lower Paleozoic marine shale in southern Sichuan Basin by Hongfei ZHANG, Kun JIAO, Jiayu WANG, Ning XU, Lijun MA, Lanfeng LIU, Yunjun WU, Bin DENG, Juan WU, Yuehao YE, Quanzhong GUAN, Xiangxin WANGZHOU, Congke ZHANG

“…Current studies primarily focus on the response of Raman spectral parameters to thermal maturity variations, while research on the influence of non-thermal maturity factors, such as spectrum processing methods, sample pretreatment, and laser wavelength settings, on experimental accuracy remains relatively scarce and inconsistent. …”
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Knowledge, Attitudes, and Perceptions of Chronic Patients in Saudi Arabia Regarding the Use of Artificial Intelligence to Improve Medication Adherence by Alsanosi SM, Aldajani AQ, Gheliwi HA, Alotibi MM, Bokhari GS, Almatrafi OA, Alqawlaq AK, Abujamai JZ, Shaikhomer M, Alhindi YZ, Alshanberi AM

“…A positive attitude towards AI’s role in medication adherence was observed in 58.2% of the participants with good knowledge levels compared to only 11.4% of those with poor knowledge (p=0.001). Variations in perception levels regarding AI’s role in medication adherence were evident across demographics, with statistically significant associations found for age and overall knowledge level (p-values of 0.031 and 0.001, respectively).Conclusion: The results highlight AI’s potential to enhance medication adherence and healthcare efficiency while maintaining a human-centred approach. …”
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Performance measures of the medical priority dispatch system in an urban basic life support system by Vittorio Nicoletta, Maxime Robitaille-Fortin, Valérie Bélanger, Éric Mercier, Jessica Harrisson

“…Additionally, we examined variations across chief complaints to identify high overtriage and undertriage medical conditions. …”
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The inverted U-shaped impact of the digital economy on indirect household carbon emissions — an empirical study based on CFPS by Ying Chen, Ying Chen, Donglin Chen, Donglin Chen, Chenfeng Gao, Chenfeng Gao, Xiaochao Wei, Xiaochao Wei

“…Understanding this relationship is critical, as the digital economy has the potential to both drive and mitigate carbon emissions, depending on its stage of development and regional context.MethodsUsing panel data from the 2014–2018 China Family Panel Studies (CFPS), a fixed effects model is applied to analyze the relationship between digital economy growth and IHCEs. …”
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Quality evaluation of synthetic CT using a gamma analysis for prostate cancer MR-only radiotherapy by Viktor Babka, Lubos Rehounek, Iva Jakubcová, Igor Sirak, Petr Paluska, Linda Kašaová, Milan Vosmik, Jakub Grepl

“…Its implementation may improve workflow efficiency and patient safety in clinical practice.…”
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Comparison of spatial prediction models from Machine Learning of cholangiocarcinoma incidence in Thailand by Oraya Sahat, Supot Kamsa-ard, Apiradee Lim, Siriporn Kamsa-ard, Matias Garcia-Constantino, Idongesit Ekerete

“…This study aimed to compare the performance of spatial prediction models using Machine Learning techniques to analyze the occurrence of CCA across Thailand. Methods This retrospective cohort study analyzed CCA cases from four population-based cancer registries in Thailand, diagnosed between January 1, 2012, and December 31, 2021. …”
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