CASCADE: a community-engaged action model for generating rapid, patient-engaged decisions in clinical research by Bridgette L. Kelleher

“…Conclusions The CASCADE approach was an effective tool for rapidly, efficiently making patient-centered decisions during an ongoing, federally funded clinical trial. …”
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Multi-Level Feature Dynamic Fusion Neural Radiance Fields for Audio-Driven Talking Head Generation by Wenchao Song, Qiong Liu, Yanchao Liu, Pengzhou Zhang, Juan Cao

“…Then, we introduce the idea of multi-head attention and design an efficient audio-visual fusion module that explicitly fuses audio features with image features from different planes, thereby improving the mapping between audio features and spatial information. …”
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Artificial Visual System for Stereo-Orientation Recognition Based on Hubel-Wiesel Model by Bin Li, Yuki Todo, Zheng Tang

“…In this paper, we provide a clear and efficient conceptual understanding of stereo-orientation selectivity and propose a quantitative explanation for its generation based on the thought of local-to-global information aggregation within the Hubel-Wiesel model and develop an artificial visual system (AVS) for stereo-orientation recognition. …”
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Balancing Monitoring and Management in the Adaptive Management of an Invasive Species by Brielle K. Thompson, Julian D. Olden, Sarah J. Converse

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A Study to Assess the Efficacy of Audio-Visual Psychoeducation on Level of Knowledge and Attitude Regarding Harmful Effects of Alcohol among Alcohol use Disorder Patients Admitted... by Seema Madhavan Nair, Punita A Sharma, Radhika Das

“…Materials and Methodology: A quantitative research approach with pretest-posttest control design was adopted in the study. …”
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IW Extraction From SAR Images Based on Generative Networks With Small Datasets by B. Saheya, Xia Ren, Maoguo Gong, Xiaofeng Li

“…The comparison and quantitative evaluation with other methods for small data problems show that the GAN-MSDU method is efficient and robust in IW extraction.…”
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Analysing Metropolitan Municipal Water Services Delivery Performance in South Africa: A Comparative Assessment of Household Access, Water Quality, and Households’ Satisfaction by Abdulrasaq Ajadi Ishola, Tafadzwa Clementine Maramura, Trynos Gumbo

“…Using a conceptual framework that combined principal-agent, equity, and public value theories, this study analyses a combination of secondary quantitative data on water service delivery performance across metropolitan municipalities in South Africa. …”
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DEDSWIN-Net: Dual Encoder Dilated Convolution and Swin Transformer Network for the Classification of Liver CT Images by Jyoshna Allenki, Hemant Kumar Soni

“…In contemporary times, artificial intelligence (AI) and deep learning (DL) models are considered important tools for driving quantitative biomarkers for efficient stratification and computer-aided diagnosis support. …”
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Geological modeling of carbonate fracture-cavity reservoir: case study of Shunbei fault zone No. 5 by Bolin Li, Yunfeng He, Wen Chen, Haojie Shang, Lixin Wang

“…This limitation leads to insufficient accuracy in inter-well connectivity predictions and constrains efficient hydrocarbon development. This study proposes a novel trendline-constrained object-based modeling approach, taking the Shunbei No. 5 strike-slip fault zone as a case study. …”
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Developing and integrating a destination decision support algorithm into an innovative electronic communication platform to improve injury care service coordination in Rwanda: the... by Antonio Belli, Justine Davies, Lucia D'Ambruoso, Jean Marie Uwitonze, Sudha Jayaraman, Abebe Bekele, Agnieszka Ignatowicz, Aurore Nishimwe, Jean Claude Byiringiro, Laura Quinn, Barnabas Tobi Alayande, Jean Nepomuscene Sindikubwabo, Didier Hagumimana, Fabien Hagenimana, Gilbert Rukundo, Ephrem Daniel Sheferaw, Oda Munyura, Rob Rickard, Philbert Muhire, Irene Bagahirwa, Jeanne d’Arc Nyinawankusi, Collins Inkotanyi, Assuman Nuhu

“…Like many low-income or middle-income countries, Rwanda experiences delays related to a lack of efficient prehospital communication and formal guidelines to triage patients for hospital care. …”
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Delayed Sowing Reduced <i>Verticillium</i> Wilt by Altering Soil Temperature and Humidity to Enhance Beneficial Rhizosphere Bacteria of Sunflower by Jianfeng Yang, Shuo Jia, Tie Li, Jian Zhang, Yuanyuan Zhang, Jianjun Hao, Jun Zhao

“…The result of the pot experiments indicated that supplying two different synthetic communities (SynComs) in the pot did increase the control efficiencies on SVW by 19.08% and 37.82% separately. …”
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Visual impairment prevention by early detection of diabetic retinopathy based on stacked auto-encoder by Shagufta Almas, Fazli Wahid, Sikandar Ali, Ahmed Alkhyyat, Kamran Ullah, Jawad Khan, Youngmoon Lee

“…We evaluate our model’s performance using rigorous quantitative measures, including accuracy, recall, precision, and F1-score, highlighting its effectiveness in early disease diagnosis and prevention of blindness. …”
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Pure data correction enhancing remote sensing image classification with a lightweight ensemble model by Huaxiang Song, Hanglu Xie, Yingying Duan, Xinyi Xie, Fang Gan, Wei Wang, Jinling Liu

“…A key innovation in our method is the introduction of a novel strategy, quantitative augmentation, implemented through a plug-and-play module. …”
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InterTransViewer: a comparative description of differential gene expression profiles from different experiments by А. V. Tyapkin, V. V. Lavrekha, E. V. Ubogoeva, D. Yu. Oshchepkov, N. A. Omelyanchuk, E. V. Zemlyanskaya

“…In this paper, we propose a set of quantitative indicators for a comprehensive comparative description of transcriptomic data. …”
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Supply chain performance in the age of Industry 4.0 by Tahsina Khan, Md Mehedi Hasan Emon

“…Design/methodology/approach: A quantitative research design was employed, utilizing a structured questionnaire distributed to 570 manufacturing professionals in Bangladesh, with 350 valid responses collected. …”
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Assessing the potential and suitability of geothermal resources using Monte Carlo simulation and game-based combination weighting method by Yixiang HE, Pengpeng DING, Shaohua LIU, Mingzhu WANG, Lei ZHU

“…Finally, this study conducted a quantitative suitability evaluation of the geothermal resources and verified the evaluation results based on the spatial distribution of geothermal wells. …”
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Study on Boiling Performance of Multi-bubble Nucleation at Nanoscale by GAO Deyang, SUN Zhiyuan, LIU Zhanwei, BO Hanliang

“…This study provides a theoretical basis for optimizing the microstructural design in the boiling heat transfer process, offering valuable guidance for the design of efficient heat exchange systems such as nuclear reactors.…”

Characterization of the transcriptional cellular response in midgut tissue of temephos-resistant Aedes aegypti larvae by Elisama Helvecio, Antonio Mauro Rezende, Maria J. R. Bezerra, Osvaldo Pompílio de-Melo-Neto, Maria Alice Varjal de Melo Santos, Tatiany Patrícia Romão, Constância Flávia Junqueira Ayres

“…Understanding the genetic and molecular basis of resistance is important not only to create strategies aimed at detecting and monitoring resistance in the field but also to implement efficient control measures and support the development of new insecticides. …”
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Machine learning and deep learning in glioblastoma: a systematic review and meta-analysis of diagnosis, prognosis, and treatment by Hadja Fatima Tbahriti, Ali Boukadoum, Meriem Benbernou, Mohamed Belhocine

“…Conclusion Although AI techniques have demonstrated encouraging results in GBM studies for various clinical tasks, substantial challenges still preclude efficient clinical applicability. These developments can potentially improve medical practice with improved diagnosis, personalized treatment and fewer invasive procedures. …”
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Strontium-Doped Tin Oxide Nanofibers for Enhanced Visible Light Photocatalysis by Pranta Barua, Tan Thai, Kannoorpatti Krishnan, Naveen Kumar Elumalai

“…This work establishes a quantitative correlation between electrochemical characteristics and photocatalytic activity in Sr-doped SnO₂ nanofibers, revealing the fundamental mechanisms that transform the SnO₂ nanostructure from UV-dependent to efficient visible light-driven catalysts for organic pollutant degradation.…”
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