The development of a sustainable climate resilience building framework for Southern Zimbabwe by Rameck Defe, Mark Matsa, Veronica Makuvaro

“…A mixed method approach which utilized both qualitative and quantitative techniques was used. The choice of two approaches was based on a phenomenological constructivist belief that problems are best solved using multiple sources. …”
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Forecasting springtime rainfall in southeastern Australia using empirical orthogonal functions and neural networks by S. Marčelja

“…</p> <p>The technical part of the forecast model is provided by deep learning artificial neural networks, where I use the information sources with the strongest correlation in relation to the historical rainfall data as the inputs. The networks are trained on past rainfall data, and the output is a quantitative forecast based on the current state of the predictors. …”
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Public health engagement in alcohol licensing in England and Scotland: the ExILEnS mixed-method, natural experiment evaluation by Niamh Fitzgerald, Matt Egan, Rachel O’Donnell, James Nicholls, Laura Mahon, Frank de Vocht, Cheryl McQuire, Colin Angus, Richard Purves, Madeleine Henney, Andrea Mohan, Nason Maani, Niamh Shortt, Linda Bauld

“…Qualitative data suggested that public health team input was valued by many licensing stakeholders, and that alcohol availability may lead to harms by affecting the accessibility, visibility and norms of alcohol consumption, but that the licensing systems have limited power to act in the interests of public health. …”
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Structural Optimization of Logistics Distribution System Based on Characteristic State Space by Yongyan Bao, Delun Wang, Yuan Sun, Hao Zheng

“…The characteristic state equation is constructed to represent the input and output resources of each basic logistics activity. …”
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Assessing extratropical impact on the tropical bias in coupled climate model with regional coupled data assimilation by F. Lu, Z. Liu, S. Zhang, R. Jacob

“…Energetic analysis of cross‐equatorial atmospheric energy transport and equatorial net energy input are used to explain the changes in the precipitation bias.…”
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Evaluation Study of the Green School Program in Islamic Schools by Sintha Wahjusaputri, Suwardi Suwardi, Fikri Adli Nazhif

“…Employing a qualitative approach with a case study design, the study adopts the Context, Input, Process, Product (CIPP) evaluation model. …”
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CNTools: A computational toolbox for cellular neighborhood analysis from multiplexed images. by Yicheng Tao, Fan Feng, Xin Luo, Conrad V Reihsmann, Alexander L Hopkirk, Jean-Philippe Cartailler, Marcela Brissova, Stephen C J Parker, Diane C Saunders, Jie Liu

“…We also provided suggestions on how to choose proper identification methods and smoothing techniques according to input data.…”
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What can knowledge graph do for few-shot named entity recognition by Binling Nie, Yiming Shao, Yigang Wang

“…In this paper, for the first time, we quantitatively investigate the effects of different kinds of extra KG features for few-shot NER. …”
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APPLICATION OF MAMDANI FUZZY LOGIC IN REFRIGERATOR SELECTION by Anisa Dwi Oktarina, Agus Maman Abadi, Syukrul Hamdi

“…While this study confirms the effectiveness of fuzzy logic in structured decision-making, it does not quantitatively measure efficiency. Future research should explore alternative fuzzy logic methods, incorporate additional input variables, and consider demographic factors to enhance recommendation accuracy. …”
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Rethinking Domain‐Specific Pretraining by Supervised or Self‐Supervised Learning for Chest Radiograph Classification: A Comparative Study Against ImageNet Counterparts in Cold‐Star... by Han Yuan, Mingcheng Zhu, Rui Yang, Han Liu, Irene Li, Chuan Hong

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Revolutionizing municipality performance evaluation: A dynamic network fusion of BSC and DEA by Yusof Chaharlang, Hamed Soleimani, Esmaeil Mehdizadeh, Alireza Alinejad

“…The combination of BSC and DEA was chosen because BSC offers a multidimensional framework for assessing performance from diverse perspectives, while DEA provides a quantitative tool for evaluating efficiency, particularly useful when dealing with multiple inputs and outputs. …”
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Bidirectional dynamic frame prediction network for total-body [68Ga]Ga-PSMA-11 and [68Ga]Ga-FAPI-04 PET images by Qianyi Yang, Wenbo Li, Zhenxing Huang, Zixiang Chen, Wenjie Zhao, Yunlong Gao, Xinlan Yang, Yongfeng Yang, Hairong Zheng, Dong Liang, Jianjun Liu, Ruohua Chen, Zhanli Hu

“…Results Both the visual and quantitative results illustrate the effectiveness of our approach. …”
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Designing a model of the role of social media in crisis management and digital supply chain resilience by Farhad Jahangiri, Abolfazl Danaei, Mahsa Akbari, Younos Vakil Alroaia

“…The total number of articles found considering the input criteria was 163 studies (Persian and English). …”
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Advice on better utilization of validation data to adjust odds ratios for differential exposure misclassification (recall bias) by Igor Burstyn, George Luta

“…This illustrates the importance of the use of tools as intended and the unexpected impact on their results of apparently small changes to the input values for their calculations.] First, we must note that quantitative bias analysis does not correct for exposure misclassification in general. …”
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Environmental citizenship in Lebanon: a study in the higher education context by Mira Hajj-Hassan, Rawad Chaker, Jinan Karameh Shayya, Veronica Lo Presti

“…This article aims to quantitatively investigate Lebanese higher education students’ environmental citizenship. …”
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Video or audio listening tests for English language teaching context: which is more effective for classroom use? by Clara Herlina Karjo, Menik Winiharti, Safnil Arsyad

“…Multimodal inputs (both auditory and visual) in the forms of films and videos have long been used in teaching EFL listening comprehension. …”
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Machine learning based optimization of titanium electropolishing using artificial neural networks and Taguchi design in eco-friendly electrolytes by Hyun-Kyu Hwang, Seong-Jong Kim

“…This investigation provides a practical pathway for optimizing processes in environmentally sustainable manufacturing by quantitatively analyzing the nonlinear complexity of electrochemical surface treatments.…”
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Quantum kernel t-distributed stochastic neighbor embedding by Yoshiaki Kawase, Kosuke Mitarai, Keisuke Fujii

“…In our numerical experiments, we visualize a hand-written digits data set and apply a k-nearest neighbor algorithm to the low-dimensional data to quantitatively evaluate our proposed method compared with a classical kernel method. …”
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CSAN: A Channel–Spatial Attention-Based Network for Meteorological Satellite Image Super-Resolution by Weiliang Liang, Yuan Liu

“…The information fusion unit adaptively fuses LR and HR images, effectively capturing inter-band spectral relationships and spatial details to enhance the input representation. The feature extraction module integrates channel and spatial attention into the residual network, enabling the extraction of informative spectral and spatial features from the fused inputs. …”
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Developing Storylines of Plausible Future Streamflow and Generating a New Warming‐Driven Declining Streamflow Ensemble: Colorado River Case Study by Homa Salehabadi, David G. Tarboton, Kevin Wheeler, James Prairie, Rebecca Smith, Sarah Baker

“…This paper suggests multiple quantitative storylines of plausible future conditions, each matched with a representative streamflow ensemble to serve as inputs for planning models where, to account for uncertainty, plans or policies that are robust to a range of plausible futures are developed. …”
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