An Enhanced LSTM Approach for Detecting IoT-Based DDoS Attacks Using Honeypot Data by Arjun Kumar Bose Arnob, M. F. Mridha, Mejdl Safran, Md Amiruzzaman, Md. Rajibul Islam

“…The contribution of this paper will be an addition to the deep learning techniques applied for the solution of intrusion detection systems (IDS), which will also allow the building and implementation of more efficient security mechanisms in IoT environments.…”
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“Feedback is communication between human beings”: understanding adolescents' conception of written qualitative feedback by Sining Tao, Wenjuan Qin

“…The study adds to a growing literature on adolescent writing development from the lens of interactive teaching and learning.…”
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Seurat function argument values in scRNA-seq data analysis: potential pitfalls and refinements for biological interpretation by Mikhail Arbatsky, Ekaterina Vasilyeva, Veronika Sysoeva, Ekaterina Semina, Ekaterina Semina, Valeri Saveliev, Kseniya Rubina

“…Here we narrow our focus down to a small set of mathematical methods applied upon standard processing of scRNA-seq data: preprocessing, dimensionality reduction, integration, and clustering (using machine learning methods for clustering). Normalization and scaling are standard manipulations for the pre-processing with LogNormalize (natural-log transformation), CLR (centered log ratio transformation), and RC (relative counts) being employed as methods for data transformation. …”
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On the implications of artificial intelligence methods for feature engineering in reliability sector with computer knowledge graph by Heling Jiang, Yongping Xia, Changjie Yu, Zhao Qu, Huaiyong Li

“…To improve operational efficiency and lower long-term maintenance costs, policy ideas include standardizing data collection techniques, investing in real-time monitoring systems, and implementing machine learning-based predictive maintenance across industries.…”
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Penggunaan Metode Eklektik Dan Mentoring Untuk Meningkatkan Kemampuan Berbahasa Inggris Lisan Tenaga Pendidik Dan Kependidikan by Erniwati

“…Selain itu, untuk mendukung ketiga teori tersebut peneliti juga menggunakan strategi Communicative Language Teaching dan Cooperative Language Learning. Peneliti juga menggunakan mentoring untuk meningkatkan motivasi dan rasa percaya diri para subyek penelitian. …”
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Patient safety culture: Insights from a cross-sectional study among healthcare professionals by Vijay K. Tadia, Neelam Kotwal, Rahul S. Jalaunia

“…About 69% mentioned about a culture of organizational learning and continuous improvement, 59% reported any patient safety event, 49% believed in support from Hospital management and 42% believed that if a patient safety error is reported it is responded to positively by the seniors by taking corrective measures. …”
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Cultural Science Meets Cultural Data Analytics by Ibrus Indrek, Schich Maximilian, Tamm Marek

“…We instead argue for a study of meaning-making practices in human society, but without confining ourselves to traditional humanities scholarship, but rather, learning from new developments in systems biology, evolutionary economics, complexity science and many more. …”
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Experiences and Perspectives of Student Nurses Toward Volunteerism during Health Emergencies: A Systematic Review by Pradeepti Prashar, Dinesh Kumar Sharma, Bandana Mohinder, Santosh Kumari

“…Professional ethics, humanity, and learning motivate. Self-care issues, system support issues, and psychological impacts are obstacles. …”
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Evaluation of 3D seed structure and cellular traits in-situ using X-ray microscopy by Marcus Griffiths, Barsanti Gautam, Clara Lebow, Keith Duncan, Xinxin Ding, Pubudu Handakumbura, John C. Sedbrook, Christopher N. Topp

“…Seeds of pennycress (Thlaspi arvense L.) an oilseed cover crop, were scanned and segmented using a machine learning model. Seed morphological analysis and a coat thickness map was applied to compare seed volumes of four genotypes. …”
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Efficient guided inpainting of larger hole missing images based on hierarchical decoding network by Xiucheng Dong, Yaling Ju, Dangcheng Zhang, Bing Hou, Jinqing He

“…Abstract When dealing with images containing large hole-missing regions, deep learning-based image inpainting algorithms often face challenges such as local structural distortions and blurriness. …”
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Penggunaan Gamitifikasi pada Massive Open Online Course (MOOC) by Wirawan Arief Nugroho, Dyah Puspito Rini

“…Abstract Since the beginning of the Industrial Revolution 4.0 Gamification and the Massive Open Online Course (MOOC) is a new phenomenon in open learning and is known as a good strategy to improve the quality of education. …”
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THE ROLE OF DIGITAL LITERACY OF PRE-SERVICE AND IN-SERVICE EFL INSTRUCTORS IN POST PANDEMIC COVID-19 by H. Kubra Er

“…The digital proficiency of teachers is crucial for effective teaching and learning in the 21st century, especially in the context of foreign language education [1]. …”
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Radial Basis Function Coupling with Metaheuristic Algorithms for Estimating the Compressive Strength and Slump of High-Performance Concrete by Amir Reza Taghavi Khangah, Erfan Khajavi, Hasti Azizi, Amir Reza Alizade Novin

“…The results highlight hybrid machine learning models as the potential to solve complex challenges in civil engineering and provide new approaches toward sustainable and efficient infrastructure development.…”
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Polarity-JaM: an image analysis toolbox for cell polarity, junction and morphology quantification by Wolfgang Giese, Jan Philipp Albrecht, Olya Oppenheim, Emir Bora Akmeriç, Julia Kraxner, Deborah Schmidt, Kyle Harrington, Holger Gerhardt

“…Advances in fluorescence microscopy and deep learning algorithms open up a wealth of unprecedented opportunities to characterise various aspects of cell polarity, but also create new challenges for comprehensible and interpretable image data analysis workflows to fully exploit these new opportunities. …”
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Automating monitoring and evaluation data analysis by using an open-source programming language by Nadia Fouché, Melody Mentz-Coetzee

“…Although open-source programming languages such as Python are free to use, there are no libraries in Python aimed at the analyses needed for quantitative ME data, resulting in a steep learning curve for new Python users. Objectives: The objective of this article was to develop a Python library of functions to make Python a user-friendly alternative for analysing quantitative ME data. …”
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Detection to false data for smart grid by Jian Zheng, Shumiao Ren, Jingyue Zhang, Yu Kui, Jingyi Li, Qin Jiang, Shiyan Wang

“…Then, the neural network learns a boundary separating false data and normal data on the conformal region yielded by the conformity scores. …”
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Career Perspectives for Pediatric Orthopaedic Trainees and Early Practitioners: A Panel Discussion by Jeffrey B. Peck, MD, William Cutchen, MD, Lee Haruno, MPH, Dustin Greenhill, MD, Karen Bovid, MD, Brandon Ramo, MD

“…Key Concepts: (1) When selecting a fellowship, it is valuable to understand one's learning style and to consider family needs. (2) After discovering what positions may be available, match each potential position's professional and personal opportunities with your needs. (3) Your initial practice will evolve to your ideal professional endpoint over years of effort and development. (4) The optimal work-life relationship is possible with good communication with your partner/family and with a good team of supporting healthcare staff around you. (5) Regular attendance at the POSNA annual meeting and involvement in committee work can be a resource and provide tremendous professional satisfaction.…”
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Decoding substance use disorder severity from clinical notes using a large language model by Maria Mahbub, Gregory M. Dams, Sudarshan Srinivasan, Caitlin Rizy, Ioana Danciu, Jodie Trafton, Kathryn Knight

“…We propose a workflow employing zero-shot learning of LLMs with carefully crafted prompts and post-processing techniques. …”
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Ankrd1 as a potential biomarker for the transition from acute kidney injury to chronic kidney disease by Hailin Li, Lemei Hu, Changqing Zheng, Ying Kong, Ming Liang, Quhuan Li

“…Analysis of intercellular crosstalk, trajectory and machine learning algorithms revealed hub cell clusters and genes. …”
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Exploring the mediating role of the non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) in the association between obesity and sleep-disor... by Ying Cui, Ziyi Cheng

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