Acylated glucopyranosides: FTIR, NMR, FMO, MEP, molecular docking, dynamics simulation, ADMET and antimicrobial activity against bacterial and fungal pathogens by Nasrin Akter, Supriyo Saha, Md. Ahad Hossain, Kabir M. Uddin, Ajmal R. Bhat, Sumeer Ahmed, Sarkar M.A. Kawsar

“…Pharmacokinetic predictions were investigated to evaluate their absorption, distribution, metabolism and toxic properties, and the combination of pharmacokinetic and drug-likeness predictions has shown promising results in silico.…”
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Design and Construction of an Automatic Discharge and Sediment Load Monitoring Equipment by Hasan rezaei moghadam, Vahedberdi Sheikh, Maryam Azarakhshi, Mohsen Hosseinalizadeh, Jahangir Mohamadi

“…Extended Abstract Background: Large-scale and regional planning requires observed data on environmental variables, such as runoff and suspended sediment load from watersheds. …”
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A Modified Parallel NET (MPNET)-Based Deep Learning Technique for the Segmentation and Quantification of Visceral and Superficial Adipose Tissues of CT Scans by Josteve Adekanbi, Debashish Das, Nouh Elmitwally, Aliyuda Ali, Vince I. Madai, Bahadar Bhatia, John Morlese, Muhammed Afsal, Tanay Shah

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Quantifying Earth's Topography: Steeper and Larger Than Projected in Digital Terrain Models by Anne Voigtländer, Aljoscha Rheinwalt, Stefanie Tofelde

“…Abstract Grid‐ or pixel‐based models, used across various scientific disciplines from microscopic to planetary scales, contain an unquantified error that bias our interpretation of the data. The error is produced by projecting 3D data onto a 2D grid. …”
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Associations of Vocal Features, Psychiatric Symptoms, and Cognitive Functions in Schizophrenia by Natsuyama T, Chibaatar E, Shibata Y, Okamoto N, Cruz Victorino JN, Ikenouchi A, Shibata T, Yoshimura R

“…Our findings showed that poorer cognitive abilities, like memory and attentional control, negatively correlated with certain vocal characteristics. …”
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Meta-analysis of Jelajah Alam Sekitar (JAS) Approach Implementation in Learning Procces by S. Ngabekti, S. Ridlo, E. Peniati, R. Martanto

“…Then, how the effectiveness of the implementation of the JAS approach in improving the learning process. This study uses meta-analysis-data in the form of descriptive exploratory qualitative. …”
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Patient-Generated Collections for Organizing Electronic Health Record Data to Elevate Personal Meaning, Improve Actionability, and Support Patient–Health Care Provider Communicatio... by Drashko Nakikj, David Kreda, Karan Luthria, Nils Gehlenborg

“…We also intended to become more informed about the various ways in which patients could and would like to use collections. MethodsWe conducted a think-aloud evaluation study with 14 participants on synthetic data. …”
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Who Will Author the Synthetic Texts? Evoking Multiple Personas from Large Language Models to Represent Users’ Associative Thesauri by Maxim Bakaev, Svetlana Gorovaia, Olga Mitrofanova

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A unified elliptic curve cryptographic algorithm for secure communication and homomorphic encryption: A multi-parameter (Built-in CIA) Approach by Josepha Menandas J, Mary Subaja Christo

“…Data security is a critical concern due to the increasing volume and complexity of data being generated and processed. …”
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Detecting hate in diversity: a survey of multilingual code-mixed image and video analysis by Hafiz Muhammad Raza Ur Rehman, Mahpara Saleem, Muhammad Zeeshan Jhandir, Eduardo Silva Alvarado, Helena Garay, Imran Ashraf

“…We fill research gaps by assessing a variety of methods, including deep learning, machine learning, and natural language processing, especially for complicated data like code-mixed and cross-lingual text. …”
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ChatGPT in education: Its value, accuracy, and regulation by Angelo Frank Pacala

“…It is a natural language processing technology that uses machine learning algorithms to generate human-like responses to various queries and conversations in real time. …”
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How does artificial intelligence shape the productivity and quality of research in business studies? A systematic literature review and future research framework by Sugandha Agarwal, Qian Long Kweh, Dima Jamali, Walton Wider, Syed Far Abid Hossain, Muhammad Ashraf Fauzi

“…We show that AI helps reduce research time and improve data management. Methods like machine learning and natural language processing can effectively uncover patterns and trends that conventional research methods may overlook. …”
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ES-UNet: efficient 3D medical image segmentation with enhanced skip connections in 3D UNet by Minyoung Park, Seungtaek Oh, Junyoung Park, Taikyeong Jeong, Sungwook Yu

“…However, existing 3D segmentation models, like the traditional 3D UNet, face challenges in balancing computational efficiency and accuracy when processing volumetric medical data. …”
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Environmental Scanning and Prioritization of Issues in Marine Tourism Development in Ternate City, Indonesia by Alma'arif Alma'arif, Abdul Fatah Satyapraja, Sarmila Md Sum

“…Data collection combined qualitative methods, including interviews and documentation, with quantitative analysis through expert-validated questionnaires. …”
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Blockchain technology and its impact on sustainable supply chain management in SMEs by Chao Fang, Nazir Ullah, M. Batumalay, Waleed Mugahed Al-Rahmi, Fahad Alblehai

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Relationship Between Subclinical Mastitis Occurrence and Pathogen Prevalence in Two Different Automatic Milking Systems by Karise Fernanda Nogara, Marcos Busanello, Maity Zopollatto

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LITP-GAN: Leaf image translation pipeline using DETR and GLA-Net considering the lesion area of plant disease by Ri Zheng, Jimin Lee, Helin Yin, Dong Jin, Yeong Hyeon Gu

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Real-Time Object Detection Using Low-Resolution Thermal Camera for Smart Ventilation Systems by Jun-Hee Lee, Eung-Tea Kim

“…To address the scarcity of thermal data, we developed the TOI (Thermal Object Insertion) data augmentation technique, which generates new training data while preserving thermal pattern characteristics. …”
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A scoping review of authorisation pathway for COVID-19 vaccines among selected countries by Supapitch Suphap, Parnnaphat Luksameesate, Osot Nerapusee, Puree Anantachoti

“…Supporting strategies like ‘rolling submission’ (85%) and ‘pre-submission meeting’ (85%) facilitated and fasten the approval process. …”
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Justifying the selection of a neural network linguistic classifier by Olessia Barkovska, Kseniia Voropaieva, Oleksandr Ruskikh

“… The subject matter of this article revolves around the exploration of neural network architectures to enhance the accuracy of text classification, particularly within the realm of natural language processing. The significance of text classification has grown notably in recent years due to its pivotal role in various applications like sentiment analysis, content filtering, and information categorization. …”
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