Greenhouse gas offsets distort the effect of clean energy tax credits in the United States by Emily Grubert, Wilson Ricks, Danny Cullenward

“…Methane feedstocks that are inappropriately assigned negative emissions intensity could dominate U.S. hydrogen production via conventional steam methane reformation, preventing the innovation-oriented 45V tax credit from encouraging development of higher-cost electrolysis technology. …”
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What Affects Agricultural Green Total Factor Productivity in China? A Configurational Perspective Based on Dynamic Fuzzy-Set Qualitative Comparative Analysis by Danni Lu, Xinhuan Zhang, Degang Yang, Shubao Zhang

“…This study thoroughly analyzed the synergistic mechanisms of factors such as natural endowment, agricultural technology, economic development, and environmental regulation, exploring their impact on AGTFP enhancement through the innovative application of the dynamic fuzzy-set qualitative comparative analysis (fsQCA) method. …”
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A machine learning model accurately identifies glycogen storage disease Ia patients based on plasma acylcarnitine profiles by Joost Groen, Bas M. de Haan, Ruben J. Overduin, Andrea B. Haijer-Schreuder, Terry GJ Derks, M. Rebecca Heiner-Fokkema

“…Conclusions This study demonstrates an innovative approach to applying machine learning to ultra-rare diseases by accurately identifying GSD Ia patients based on plasma free carnitine and acylcarnitine concentrations, leveraging subtle acylcarnitine abnormalities. …”
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Nested case-control study investigating factors affecting initial adoption of HIV self-testing among men who have sex with men in Guangzhou, China: amidst comprehensive service cov... by Yuzhou Gu, JiaLi Yang, Yefei Luo, Lishan Zhan, Fanghua Liu, Wenting Zeng, Huifang Xu, Huifang Xu, Yongheng Lu, Yanshan Cai, Zhigang Han

“…Multivariate logistic regression analysis revealed that individuals who primarily sought sexual partners through offline venues in the past 6 months (aOR = 5.28, 95% CI: 1.01–27.79), had more than one sexual partner in the past 6 months (aOR = 2.76, 95% CI: 1.33–5.74), engaged with more than two casual partners in the past 6 months (aOR = 3.02, 95% CI: 1.35–6.78), or had more than one regular partner (aOR = 3.37, 95% CI: 1.51–7.51) exhibited an increased likelihood of initiating HIVST.ConclusionIn the context of comprehensive promotion and coverage of HIVST service, the development of personalized, adaptable, and innovative HIVST strategies for MSM with a higher number of sexual partners, particularly those in regular partnerships and those seeking partners offline, may further increase the adoption of HIVST among MSM.…”
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Elucidating epigenetic landscape of gastric premalignant lesions through genome‐wide mapping of 5‐hydroxymethylcytosines: A 12‐year median follow‐up study by Zhongguang Luo, Wenshuai Li, Wanwei Zheng, Yixiang Shi, Maolin Ye, Xiangyu Guo, Kaiyi Fu, Changsheng Yan, Bowen Wang, Bin Lv, Shaocong Mo, Hongyang Zhang, Jun Zhang, Chuan He, Feifei Luo, Wei Zhang, Jie Liu

“…The feasibility of an innovative 5hmC‐based predictive model for assessing gastric cancer progression risk.…”
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MetaTrans-FSTSF: A Transformer-Based Meta-Learning Framework for Few-Shot Time Series Forecasting in Flood Prediction by Jiange Jiang, Chen Chen, Anna Lackinger, Huimin Li, Wan Li, Qingqi Pei, Schahram Dustdar

“…To address this issue, we introduce MetaTrans-FSTSF, a pioneering meta-learning framework that redefines few-shot time series forecasting. By innovatively integrating MAML and Transformer architectures, our framework provides a specialized solution tailored for the unique challenges of flood prediction, including data scarcity and complex temporal patterns. …”
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Immune Cells and Intracerebral Hemorrhage: A Causal Investigation Through Mendelian Randomization by Liumei Mo, Wei Pan, Wenjing Cao, Kui Wang, Li'an Huang

“…This breakthrough paves the way for innovative clinical and pharmaceutical research opportunities, potentially promoting the development of targeted therapies and enhanced strategies for managing and preventing ICH.…”
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Enhancing Secure Medical Data Communication Through Integration of LSB and DCT for Robust Analysis in Image Steganography by Ramyashree, P. S. Venugopala, S. Raghavendra, Vijay S. Kubihal

“…The Proposed work introduced an innovative Steganography approach for medical image data by embedding Audio files aiming to addresses this research gap. …”
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Rationale and design of APOLLO: a personalized rehAbilitation PrOgram in aLLOgeneic bone marrow transplantation by Edith Pituskin, Stephen Foulkes, Rachel J. Skow, Thomas McMurtry, Calvin Kruger, Janet E. Bates, Daena Lamoureux, Joseph Brandwein, Elena Lieuw, Cynthia Wu, Nancy Zhu, Peng Wang, Daniel Sawler, Minakshi Taparia, Marlene Hamilton, Tiffany Comfort-Riddle, Tara Meyer, Gabor T. Gyenes, Ian Paterson, Carla M. Prado, Mark J. Haykowsky, Justin G. Greiner, Margaret L. McNeely, Puneeta Tandon, Richard B. Thompson

“…We expect the findings to inform the optimal timing and patient preferences to develop studies examining risk-specific, individualized interventions (including exercise, pharmacotherapy, combination treatments) to reduce or prevent symptoms and dysfunction. We expect this innovative program to identify ways to benefit innumerable patients with hematologic and other malignancies. …”
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FedBFGCN: A Graph Federated Learning Framework Based on Balanced Channel Attention and Cross-Layer Feature Fusion Convolution by Hefei Wang, Ruichun Gu, Jingyu Wang, Xiaolin Zhang, Hui Wei

“…To address this issue, this paper proposes an innovative graph federated learning framework called FedBFGCN (Graph Federated Learning Based on Balanced Channel Attention and Cross-Layer Feature Fusion Convolution) to optimize the embedding and analysis efficiency of graph data. …”
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Analysis of Volatile Components and Key Aroma Components in Dianhong Congou Black Tea Produced by Variable Temperature Fermentation by WANG Yanyan, LIU Zhiwei, YAN Huiting, LU Jianwei, HE Yamei, GAO Jun, BAI Bing, LU Liping

“…These results provide a reference for processing innovations and quality improvement of DCT.…”
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Eco-benign synthesis of multifunctional silver nanoparticles using leptochloa fusca for enhanced biomedical and catalytic applications by Riaz Ahmad Khan, Hidayat Ullah Khan, Shahnaz, Kamran Tahir, Moamen S Refat, Abdel Majid A Adam, Amnah Mohammed Alsuhaibani

“…The synthesis of nanomaterials with diverse biomedical and catalytic potentials is crucial in this era of rapidly advancing technology and increasing demand for innovative solutions in medicine and catalysis. The current study explores Leptochloa fusca aqueous extract for the eco-benign and cost-effective green synthesis of multifunctional silver nanoparticles (LF-AgNPs) with enormous potential of biomedical and catalytic applications. …”
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Hyperspectral imaging in living and deceased donor kidney transplantation by Rasmus Wrigge, Robert Sucher, Fabian Haak, Hans-Jonas Meyer, Julia Unruh, Hans-Michael Hau, Matthias Mehdorn, Hans-Michael Tautenhahn, Daniel Seehofer, Uwe Scheuermann

“…Abstract Objective and background Hyperspectral imaging (HSI) is an innovative, noninvasive technique that assesses tissue and organ perfusion and oxygenation. …”
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Quantitative accuracy of preclinical in ovo PET/MRI: influence of attenuation and quantification methods by Theresa Balber, Katarína Benčurová, Manuela Mayrhofer, Joachim Friske, Martin Haas, Claudia Kuntner, Thomas H. Helbich, Marcus Hacker, Markus Mitterhauser, Ivo Rausch

“…Abstract Aim The combination of positron emission tomography (PET) and magnetic resonance imaging (MRI) provides an innovation leap in the use of fertilized chicken eggs (in ovo model) in preclinical imaging as PET/MRI enables the investigation of the chick embryonal organ-specific distribution of PET-tracers. …”
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Spatiotemporal Evolution and Driving Mechanisms of kNDVI in Different Sections of the Yangtze River Basin Using Multiple Statistical Methods and the PLSPM Model by Zhenjiang Wu, Fengmei Yao, Adeel Ahmad, Fan Deng, Jun Fang

“…Subsequently, Partial Least Squares Path Modeling (PLSPM) was innovatively introduced to quantitatively analyze the influence mechanisms of topographic, climatic, pedological, and socioeconomic factors. …”
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Predictive value of dendritic cell-related genes for prognosis and immunotherapy response in lung adenocarcinoma by Zihao Sun, Mengfei Hu, Xiaoning Huang, Minghan Song, Xiujing Chen, Jiaxin Bei, Yiguang Lin, Size Chen

“…Conclusion We have innovatively established a deep learning-based prediction model, DCRGS, for the prediction of the prognosis of patients with LUAD. …”
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BananaImageBD: A comprehensive banana image dataset for classification of banana varieties and detection of ripeness stages in BangladeshMendeley Data by Md Hasanul Ferdaus, Rizvee Hassan Prito, Ahmed Abdal Shafi Rasel, Masud Ahmed, Md. Jahid Hassan Saykot, Shanjida Sultan Shanta, Sonali Akter, Ankan Chandra Das, Mohammad Manzurul Islam, Mahamudul Hasan, Md Sawkat Ali

“…The dataset possesses immense potential in driving innovation and development of automated and efficient processes and mechanisms in several fields, including precision agriculture, food processing, and supply chain management. …”
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Effectiveness of the User-Centered “Healthcare CEO” App for Patients With Type 1 Diabetes Transitioning From Adolescence to Early Adulthood: Protocol for a Randomized Controlled Tr... by Yueh-Tao Chiang, Hsing-Yi Yu, Pei-Kwei Tsay, Chi-Wen Chen, Chi-Wen Chang, Chien-Lung Hsu, Fu-Sung Lo, Philip Moons

“…ConclusionsThe Healthcare CEO app is a comprehensive solution tailored specifically for individuals with T1D transitioning from adolescence to early adulthood. This innovative app has the potential to improve the quality of care for adolescents with T1D during this critical stage and may serve as valuable evidence in support of app-based intervention strategies. …”
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Anxiety as a prevailing factor of performance of university mathematics students during the COVID-19 pandemic by D. Mendoza, M. Cejas, G. Rivas, C. Varguillas

“…The data collection instruments ISRA-B-C, ISRA-B-F and ISRA-B-M are innovative and adaptable to all levels of education.Practical significance. …”
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Knowledge, attitude and practice of community pharmacy personnel in tuberculosis patient detection: a multicentre cross-sectional study in a high-burden tuberculosis setting by Rovina Ruslami, Rizky Abdulah, Rob E Aarnoutse, Ivan Surya Pradipta, Khairunnisa Khairunnisa, Muh Akbar Bahar, Mersa Nurain Kausar, Efi Fitriana

“…We, therefore, analysed knowledge, attitude and practice (KAP) on TB patient detection (TBPD) of community pharmacy personnel, aiming to find innovative strategies to engage community pharmacies in TBPD.Methods A multicentre cross-sectional study was performed in four areas of Indonesia’s eastern, central and western parts. …”
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