Improving prediction of solar radiation using Cheetah Optimizer and Random Forest. by Ibrahim Al-Shourbaji, Pramod H Kachare, Abdoh Jabbari, Raimund Kirner, Digambar Puri, Mostafa Mehanawi, Abdalla Alameen

“…The CO component plays a pivotal role in selecting the most informative features for hourly SR forecasting, subsequently serving as inputs to the RF model. The efficacy of the developed CO-RF model is rigorously assessed using two publicly available SR datasets. …”
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Active Learning to Develop Motor Skills and Teamwork by Johanna Lorena Aristizabal-Almanza, Arcelia Ramos-Monobe, Violeta Chirino-Barceló

“…Data analysis was performed using a triangulation of qualitative data, and through comparative analysis of the initial and final student profile for quantitative inputs. The results showed that, after the intervention with collaborative techniques based on action learning, students achieved a positive variation in their performance. …”
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Assessing subsidy integration in the 40 years of agricultural planning in the Maldives by Ilham Atho Mohamed

“…The results showed that although the scale of agriculture in the country is limited, subsidies have consistently been an integral part of agricultural planning since 1985, with agricultural inputs being one of the most frequently and highly subsidized over the years. …”
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USING MACHINE LEARNING METHODS FOR PREDICTION OF DURABLE ECONOMIC DEVELOPMENT: ROMANIA CASE STUDY by Dumitrel-Victor TIȚA, Daniel NIJLOVEANU, Nicolae BOLD, Doru-Anastasiu POPESCU

“…The economy can be characterized by both quantitative and qualitative indicators, linked to Gross Domestic Product (GDP), but also to enterprise health status, thus related to the turnover, profitability and number of enterprises. …”
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Offshoring Location Decision in Fuzzy Environment by Mehmet Şahin

“…Fuzzy-AHP is implemented to analyze the problem's structure and find the weights of the quantitative and qualitative criteria. Consistency tests are implemented to assess the quality of inputs of an expert. …”
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Clinical and cost-effectiveness of paramedics working in general practice: a mixed-methods realist evaluation by Matthew Booker, Sarah Voss, Nicky Harris, William Hollingworth, Nouf Jeynes, Hazel Taylor, Kirsty Garfield, Helen Baxter, Jonathan Benger, Andy Gibson, Trudy Goodenough, Justin Jagosh, Kim Kirby, Cathy Liddiard, Alyesha Proctor, Sarah Purdy, Behnaz Schofield, Hannah Stott, Grace Scrimgeour, Nicola Walsh

“…Patient and public involvement and input was integral, ensuring validity from a patient and carer perspective. …”
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Bus Network Adjustment Pre-Evaluation Based on Biometric Recognition and Travel Spatio-Temporal Deduction by Qingbo Wei, Nanfeng Zhang, Yuan Gao, Cheng Chen, Li Wang, Jingfeng Yang

“…Upon inputting bus line adjustment parameters, these relationships allow for the precise and automatic identification of the affected areas, as well as the calculation of accessible paths of each OD pair. …”
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Liver MRI proton density fat fraction inference from contrast enhanced CT images using deep learning: A proof-of-concept study. by Md Nasir, Yixi Xu, Kyle Hasenstab, Alekhya Yechoor, Rahul Dodhia, William B Weeks, Juan Lavista Ferres, Guilherme Moura Cunha

“…After liver segmentation and registration, a deep neural network (DNN) with 3D U-Net architecture was trained using CECT images as single channel input and the concurrent MRI-PDFF images as single channel output. …”
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Landscape ecological risk assessment of the northern coastal region of China based on the improved ESRISK framework: A case study of Cangzhou City by Guohao Hu, Yu Guo, Changchun Zhang, Yao Chen, Yu Lang, Lei Su, Haolin Huang

“…The areas of extremely high and high-risk levels decreased each year, with the overall risk focus shifting from medium-low risk to low risk, indicating an overall improvement in regional ecological risk. (3) Overall, LER was mainly influenced by factors such as vegetation cover and fertilizer input per unit of cultivated land. Locally, salinization, vegetation cover, the proportion of built-up land, and farmland landscape fragmentation had a more pronounced impact on LER. …”
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Estimation of Throughfall and Stemflow Bacterial Flux in a Subtropical Oak‐Cedar Forest by Thais B. Bittar, Preston Pound, Ansley Whitetree, L. Dean Moore, John T. Van Stan II

“…These previously unexamined bacterial fluxes are interpreted in the context of major elemental pools and fluxes in forests and could represent inoculum‐level sources of bacteria (if alive), and organic matter and inorganic solute inputs (if lysed) to soils.…”
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The Exploration of Combining Hologram-like Images and Pedagogical Agent Gesturing by Robert O. Davis, Joseph Vincent, Eun Byul Yang, Yong Jik Lee, Ji Hae Lee

“…A within-subjects design (<i>N</i> = 80) investigated the impact on satisfaction, cognitive load, and cued recall. The quantitative findings revealed no significant differences between the two spatial conditions. …”
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Unlocking the future of food security through access to finance for sustainable agribusiness performance by Ayobami Paul Abolade, Ibrahim Olanrewaju Lawal, Kamoru Lanre Akanbi, Ahmed Orilonise Salami

“…The study takes a quantitative method, with a survey for the research design and a population of 37,200 agricultural smallholder farmers. …”
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Expression variation and covariation impair analog and enable binary signaling control by Kyle M Kovary, Brooks Taylor, Michael L Zhao, Mary N Teruel

“…Here, we measure cell‐to‐cell variability of relative protein abundance using quantitative proteomics of individual Xenopus laevis eggs and cultured human cells and show that variation is typically much lower, in the range of 5–15%, compatible with accurate single‐cell transmission. …”
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Forecasting Transmission Line Loss Using a Cluster-Based Refinement Framework and Scheduled Outage Data by Gideon Egharevba, Arne Dankers, Hamidreza Zareipour

“…This addresses a key gap in prior works that relies solely on quantitative inputs. Next, the proposed framework employs an initial baseline model in the first stage, followed by cluster-refinement using submodels trained on grouped data patterns. …”
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Mobile Reading Attention of College Students in Different Reading Environments: An Eye-Tracking Study by Siwei Xu, Mingyu Xu, Qiyao Kang, Xiaoqun Yuan

“…Environments characterized by multisensory inputs or dynamic disturbances, such as fluctuating noise and visual motion, were found to induce greater attentional dispersion compared to monotonous, low-variation environments. …”
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KINERJA RANTAI NILAI KEDELAI DI KABUPATEN GROBOGAN by Kustopo Budiraharjo, Suryani Nurfadillah, Wiludjeng Roessali

“…This study uses descriptive-quantitative analysis methods with Value Chain Analysis (VCA), farm income, and marketing margins. …”
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Schedule-based analysis of airborne transmission risk in public transportation systems by Jiali Zhou, Haris N. Koutsopoulos

“…Airborne diseases raise the question of transmission risk in public transportation systems. However, quantitative analysis of the effectiveness of transmission risk mitigation methods in public transportation is lacking. …”
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A Robust Framework for 2D Human Face Reconstruction from Half-Frontal Views in Low-Quality Surveillance Footage by Maria Siddiqua, Muhammad Furqan Zia

“…Representative frames are extracted and enhanced for video inputs using one of three techniques: histogram equalization, contrast stretching, or logarithmic transformation. …”
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Fusion of Sentiment and Market Signals for Bitcoin Forecasting: A SentiStack Network Based on a Stacking LSTM Architecture by Zhizhou Zhang, Changle Jiang, Meiqi Lu

“…Overall, this study highlights the importance of incorporating soft information, such as investor sentiment, alongside traditional quantitative features in financial forecasting models.…”
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A Study on the Spatiotemporal Coupling Characteristics and Driving Factors of China’s Green Finance and Energy Efficiency by Hong Wu, Xuewei Wen, Xifeng Wang, Xuelian Yu

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