Multi‐omics graph convolutional networks for digestive system tumour classification and early‐late stage diagnosis by Lin Zhou, Zhengzhi Zhu, Hongbo Gao, Chunyu Wang, Muhammad Attique Khan, Mati Ullah, Siffat Ullah Khan

“…Addressing this challenge, the authors introduce a novel methodology, denominated as the Multi‐omics Graph Transformer Convolutional Network (MGTCN). This innovative approach aims to discern various DST tumour types and proficiently discern between early‐late stage tumours, ensuring a high degree of accuracy. …”
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The Influence of Sica Box Three-Dimensional Learning Media on Students' Learning Outcomes in Science Content by Nihayatur Rahilah, E.W.N Sofianto

“…The light material and its nature using simple media in science found that students' activeness and understanding decreased causing the low value obtained on the material so that this did not happen, innovation was carried out with the learning media used, namely Sica Box. …”
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Surface-Enhanced Raman Spectroscopy for Monitoring Extravirgin Olive Oil Bioactive Components by C. Camerlingo, M. Portaccio, I. Delfino, M. Lepore

“…The determination of chemical composition is a demanding task in order to fully characterize this precious food product, ensure its quality, and prevent fraudulent practices. Among innovative techniques proposed for the oil analysis, surface-enhanced Raman spectroscopy (SERS) can be an extremely useful tool for olive oil characterization. …”
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Reproducible research policies and software/data management in scientific computing journals: a survey, discussion, and perspectives by Jose Armando Hernandez, Miguel Colom

“…The analysis highlighted the potential of Reproducibility as a Service (RaaS) as an innovative solution to address these challenges.DiscussionThis study underscores the need for improved standardization and implementation of reproducibility policies. …”
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A low switching loss GaN trench MOSFET design utilizing a triple-shield structure by Yihang Qiu, Li Wei

“…Abstract An innovative GaN trench MOSFET featuring an ultra-low gate-drain charge (Q gd ) is proposed, with its operational mechanisms thoroughly investigated using TCAD simulations. …”
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A cooperative jamming decision-making method based on multi-agent reinforcement learning by Bingchen Cai, Haoran Li, Naimin Zhang, Mingyu Cao, Han Yu

“…The cooperative jamming decision-making process is then modeled as a Markov game, where the QMix multi-agent reinforcement learning algorithm is innovatively applied to handle inter-jammer cooperation. …”
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Integrated Evaluation of the Ecological Security Pattern in Central Beijing Using InVEST, MSPA, and Multifactor Indices by Xiaodan Li, Haoyu Tao, Jing Wang, Bo Zhang, Zhen Liu, Zhiping Liu, Jing Li

“…To develop an ESP tailored to the scale of central urban areas in megacities, this study takes Central Beijing as the research object. It innovatively integrates the integrated valuation of ecosystem services and tradeoffs (InVEST), the morphological spatial pattern analysis (MSPA), and the Conefor software to identify ecological sources. …”
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Unravelling EFL teachers’ mastery of TPACK to promote students’ participation by Joko Prayudha.S, Ami Pradana

“…The study results show that the teachers applied a variety of innovative and diverse learning media through the integration of TPACK used in the classroom. …”
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Harnessing nanotechnology for enhanced epilepsy management by V. Manasa, J. Joysa Ruby, Himadri Priya Gogoi, S. Vignesh, P. H. Anjaneya, Akhil

“…Prospects include nanodroplet drug delivery, neural repair with nanomaterials, and highly individualized epilepsy therapies. These innovations could significantly improve traditional treatments, patient outcomes, and quality of life, underscoring the importance of collaboration among healthcare providers, scientists, and technologists to maximize their potential. …”
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The Influence of Pro Evolution Soccer Game-Based Learning on Understanding Football Rules among Tenth Grade Students by Irvan Abdillah, Samsuddin Siregar, Rafael Burgueño, Felisa Romo Lea, Gertude Barton

“…The research advocates for the broader implementation of such innovative educational methods in physical education and sports to enhance learning quality and student motivation. …”
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Resilience and Adaptation: Yukon River Watershed Contaminant Risk Indicators by Lawrence Duffy, La’Ona De Wilde, Katie Spellman, Kriya Dunlap, Bonita Dainowski, Susan McCullough, Bret Luick, Mary van Muelken

“…Creating a policy environment that encourages local experimentation and innovation contributes to resilience maintenance during development-imposed stress.…”
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Real-Time Quality Monitoring and Anomaly Detection for Vision Sensors in Connected and Autonomous Vehicles by Elena Politi, Charalampos Davalas, Christos Chronis, George Dimitrakopoulos, Dimitrios Michail, Iraklis Varlamis

“…The emergence of Connected and Autonomous Vehicles (CAVs) has revolutionized the transportation landscape paving the way for enhanced traffic mobility and innovative and sustainable transportation. Autonomous vehicles rely on sensor data to obtain information of the internal state of the system and the impact of the external environment to achieve self-driving autonomy. …”
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Clinical Application of Standardized Cognitive Assessment Using fMRI. I. Matrix Reasoning by Mark D. Allen, Alina K. Fong

“…This is likely due to the fact that, with some degree of innovation, it is possible to convert practically any familiar cognitive test into one that can be performed in the MRI scanning environment. …”
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Study on the distance from green space and social capital of community residents based on the development of smart city—take the city of Lansing as an example by Dong Zheng, Xiaoxiao Wang, Han Yang, Jiezikang Zeng

“…This paper innovatively adopts an interdisciplinary method, which is urban design, combined with social investigation, statistical analysis, and case analysis. …”
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A Novel Experimental and Approach of Diagnosis, Partial Shading, and Fault Detection for Domestic Purposes Photovoltaic System Using Data Exchange of Adjacent Panels by H. A. Raeisi, S. M. Sadeghzadeh

“…The PSC detection exploits the neighboring PV system data. This suggested innovative algorithm is proficient in detecting these subjects: (a) fault, (b) partial shading condition, (c) solar panel (d) panel’s relevant bypass diode failure, (d) converter failure alongside specifying the failed semiconductor, and (e) PV disconnection failure. …”
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Learning Applied Fine Arts Materials Used by High School Students by Novi Kurniawati, Tantra Sakre

“…In the assessment, the weight of students' grades increased by 30% from the very low initial assessment in producing work, creativity, and innovation. The suggestions given include optimizing art infrastructure facilities in schools for hands-on practice. …”
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Efficient Particle Manipulation Using Contraction–Expansion Microchannels Embedded with Hook-Shaped Arrays by Di Huang, Yan Zhao, Chao Cao, Jiyun Zhao

“…Moreover, the magnitude of the second flow within the novel configuration was directly proportional to the channel width, the length of the expansion segment, and the embedding depth of the microstructure. The innovative structure was subsequently employed for particle trapping, focusing, and separation. …”
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The role of the research phase in information seeking behaviour of Jewish studies scholars: a modification of Ellis's behavioural characteristics by Jenny Bronstein

“…</b> The proposed innovation positions of each of Ellis's information activities within a time frame or relating them to a specific type of scholarly activity. …”
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Dynamic Classifier Auditing by Unsupervised Anomaly Detection Methods: An Application in Packaging Industry Predictive Maintenance by Fernando Mateo, Joan Vila-Francés, Emilio Soria-Olivas, Marcelino Martínez-Sober, Juan Gómez-Sanchis, Antonio José Serrano-López

“…This paper presents an expert system for the automatic estimation of work orders to implement predictive maintenance policies for packaging machines. The central innovation lies in a two-stage process: a classifier generates a binary decision on whether a machine requires maintenance, and an unsupervised anomaly detection module subsequently audits the classifier’s probabilistic output to refine and interpret its predictions. …”
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Advancing the development of real-world data for healthcare research in China: challenges and opportunities by Jun Zhang, Eric Wu, Jia Zhong, Honghao Fang, Larry Liu, Jipan Xie

“…While cutting-edge technological innovations and data solutions provided powerful tools, the development of collaborative and synergistic research networks across multiple stakeholders is key to generate accessible, high-quality RWD in China. …”
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