A semi-empirical relation based on temperature difference and filling ratio in a closed loop pulsating heat pipe: A numerical study. by Vasanth Balamurugan, Shahid Mian P, Md Jahid Hasan, Natteri M Sudharsan

“…From the computed results, a regression analysis is performed to generate a semi-empirical equation. The empirical relation for heat transfer rate (Q) as a function of the temperature difference and filling ratio was found to match the CFD results. …”
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A stacked generalization approach for day ahead hourly photovoltaic power forecasting by Fatema Islam Tania, Pinki Rani, Tofael Ahmed, Shameem Ahmad

“…Finally, the model is evaluated on different PV technologies to assess the model's compatibility with different solar technologies. …”
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Conditional GAN performs better than orthopedic surgeon in virtual reduction of femoral neck fracture by Keyang Zhao, Yihan Mei, Xiaoling Wang, Weihui Ma, Wei Shen

“…The purpose of this study is to develop a virtual fracture reduction technique using conditional GAN (Generative Adversarial Network), and evaluate its performance in simulating and guiding reduction of femoral neck fracture, which is hard to reduce. …”
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Use and Effectiveness of Chatbots as Support Tools in GIS Programming Course Assignments by Hartwig H. Hochmair

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Custom barcoded primers for influenza A nanopore sequencing: enhanced performance with reduced preparation time by Iryna V. Goraichuk, David L. Suarez

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Handling Sensor Faults in Hydroponics: A Deep Learning Imputation Technique for Accurate Tomato Yield Prediction by Viji Venugopal, Paresh Tanna, Ramesh Karnati

“…A dataset comprising 1092 data points related to tomato growth and nutrient analysis was utilized to develop and evaluate the proposed model, demonstrating the superior performance of DLPIM compared to nine state-of-the-art imputation methods across different missing data scenarios (10-60%). …”
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Prediction of the potentially suitable areas of Eucommia ulmoides Oliver in China under climate change based on optimized Biomod2 and MaxEnt models by Guoqiong Cao, Xiaofeng Yuan, Qilin Shu, Yayang Gao, Taosheng Wu, Chenghong Xiao, Jian Xu, Yongping Zhang

“…The model selection process initially identified the MaxEnt model as the most suitable. The optimized MaxEnt model, with RM = 2.0 and FC = LQHPT settings, generated the most precise predictions. …”
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Enhancing farm productivity, profitability, sustainability and livelihood of small farm holders through integrated farming system by SANJEEV KUMAR, ABHISHEK KUMAR, SHIVANI, SANTOSH KUMAR, RAKESH KUMAR, RACHNA DUBEY, KUMARI SHUBHA, KIRTI SAURABH, MANIBHUSHAN, ANUP DAS

“… The present study was carried out from 2018 to 2024 at ICAR-Research Complex for Eastern Region, Patna, Bihar to evaluate eight farming system models [Field crops (FC) alone; FC + Fish + Duck; FC + Fish + Poultry; FC + Fish + Cattle; FC + Fish + Horticulture; FC + Fish + Horticulture + Duck; FC + Fish + Horticulture + Poultry; and FC + Fish + Horticulture + Cattle] with an objective to enhance productivity, improve profitability, optimize resource use through recycling, generate employment, and reduce production costs. …”
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AI in Home Care—Evaluation of Large Language Models for Future Training of Informal Caregivers: Observational Comparative Case Study by Clara Pérez-Esteve, Mercedes Guilabert, Valerie Matarredona, Einav Srulovici, Susanna Tella, Reinhard Strametz, José Joaquín Mira

“…ObjectiveWe aimed to evaluate the appropriateness of home care instructions generated by LLMs (including GPTs) in comparison to a professional gold standard. …”
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Zero-inflated models for the evaluation of colorectal polyps in colon cancer screening studies—a value-based biostatistics practice by Alok K. Dwivedi, Sherif E. Elhanafi, Mohamed O. Othman, Marc J. Zuckerman

“…Furthermore, simulation studies also confirmed the superiority of ZIRP over alternative models in a range of datasets differing from the case studies. ZIRP was found to be the optimal method for analyzing polyp data in randomized studies, while the ZINB/ZHNB model showed a better fit in an observational study. …”
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eCBT-I dialogue system: a comparative evaluation of large language models and adaptation strategies for insomnia treatment by Xueying Bao, Xingyu Zhu, Dongren Yang, Hao Lou, Ruoyun Wang, Yutong Wu, Wenhui Li, Yu Xia, Li Zeng, Yingying Pan, Xiqin Wang, Xian Zhang, Cheng Ling, Youhui Ling, Yan Zhang, Qi Zhao, Mei Yang

“…Results Through the matching of model characteristics to adaptation strategies and the horizontal evaluation of multiple models, we compare the contribution of different fine-tuning strategies to the performance improvement of different language models on the small insomnia dialogue dataset, and finally determine that Qwen2-7b (Freeze) is the model with the best performance on the insomnia dialogue dataset. …”
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Evaluating microstructural and machine learning predictive models for friction drilling of sustainable snail shell reinforced aluminium matrix composites by Rajesh Jesudoss Hynes Navasingh, R. Sankaranarayanan, Priyanka Mishra, Angela Jennifa Sujana J, Jebasingh Jeremiah Rajesh, Jana Petru

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Construction and Performance Evaluation of a Flow Meter Based on Thermal Pulse to Measure Plant Sap Flow in Vascular Tissues by M. Teimorzadeh, J. Baradaran Motie, A. Rohani, Y. Selahvarzi

“…It is essential to measure (by the device) the difference between temperature probes 40 seconds after heat pulse generation. …”
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Self-adaptive multi-population quadratic approximation guided jaya optimization applied to economic load dispatch problems with or without valve-point effects by Sukriti Patty, Rajeev Das, Dharmadas Mandal, Provas Kumar Roy

“…To evaluate its performance, The algorithm is tested on six systems with 10, 38, 40, 110, 140, and 160 generating units. …”
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Performance evaluation of Cu2SrSnS4 based solar cell: effect of transition metal dichalcogenides buffer layer by Hanane Mebrek, Beddiaf Zaidi, Nourelhouda Mekhaznia, Hmoud Al-Dmour, Ali Barkhordari

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Nitrogen Isotope Determination Method Using EA Isolink-IRMS: Comparison of Single/Double Furnace Modes and Evaluation of Measurement Accuracy by Ye-kai WANG, Nan WANG, Yan-yan ZHAO, San-zhong LI, Xi-jie YIN

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Ecological and Statistical Evaluation of Genetic Algorithm (GARP), Maximum Entropy Method, and Logistic Regression in Predicting Spatial Distribution of Astragalus sp. by Amir Ghahremanian, Abbas Ahmadi, Hamid Toranjzar, Javad Varvani, Nourollah Abdi

“…This study aims to evaluate the potential habitat of Astragalus sp. using three different species distribution modeling methods: the maximum entropy (MaxEnt) model, the Genetic Algorithm for Rule-Set Production (GARP), and logistic regression. …”
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An In-House ELISA for Anti-Porcine Circovirus Type 2d (PCV2d) IgG: Analytical Validation and Serological Correlation by Gyeong-Seo Park, Byoung Joo Seo, Woo Ju Kwon, Yeong Lee Seok, Hyo Jeong Lee, Sung Ho Lee, Minju Kim, MinChul Lee, Chanhee Chae, Chonghan Kim

“…Guinea pigs (<i>n</i> = 18) were immunized with IMMUNIS^® DMVac, an inactivated PCV2d vaccine candidate developed by WOOGENE B&G, at different doses. In-house ELISA parameters were optimized (antigen coating, blocking agent, and substrate incubation), and analytical performance was evaluated by ROC, linearity, reproducibility, and specificity. …”
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In vitro comparison of naturally bioactive plant extracts, essential oils, and marine algae targeting different modes of action for mitigation of enteric methane emissions in rumin... by Ian Hodge, Ian Hodge, Patrick Quille, Manimaran Ayyachamy, Shane O'Connell, Shane O'Connell

“…Several mechanisms of action of feed additives for mitigating rumen methanogenesis have been identified from ongoing research, however, there is still a need to determine the most effective method and explore potential synergies between these different approaches. This study evaluates the CH4 mitigation potential of nine natural feed additives, focusing on their mode of action in reducing CH4 emissions during in vitro fermentation. …”
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Performance Enhancement of Lead-Free CsSnI₃ Perovskite Solar Cell: Design and Simulation With Different Electron Transport Layers by Md. Ferdous Wahid, Md. Shahriar Rahman, Nowshad Ahmed, Abdullah Al Mamun, Md. Nuralam Howlader, Tarpan Paul, Md. Motiur Rahman Tareq, Md. Sazedur Rahman, Md. Mizanur Rahman

“…An investigation was conducted to evaluate the influence of different ETLs namely WS2, ZnSe, C60 and PCBM on the performance of CsSnI3-based PSCs utilizing poly (3-hexylthiophene-2,5-diyl) (P3HT) as the HTL. …”
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