Global trends and research frontiers on machine learning in sustainable animal production in times of climate change: Bibliometric analysis aimed at insights and orientations for t... by Robson Mateus Freitas Silveira, Concepta Mcmanus, Iran José Oliveira da Siva

“…The main insights generated in the bibliometric analysis were (i) sustainable animal production changed from unidisciplinary science to multidisciplinary science linked to agricultural, environmental and engineering sciences, mainly to genetics and computing; (ii) the concept of sustainable animal production emerged from animal welfare and climate change concepts found in UN's 2030 Agenda; (iii) omics sciences, greenhouse gases, energy efficiency and animal welfare are the main keywords for bibliometric analyses in future studies related to sustainable animal production in the coming centuries; (iii) prediction and classification analyses, i.e., supervised machine learning models used as main tools in animal production; (iv) residual feed intake applied to measure sustainable feed efficiency in animal farming in the past and nowadays; and (v) The United States, China, Brazil and Australia are the main countries publishing studies on sustainability in animal production, but only China has been gaining prominence in publications in this field, in recent years, and it will turn this country into an emerging leader in future publications on this topic. …”
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Exploring the Connectivity Between Education 4.0 and Classroom 4.0: Technologies, Student Perspectives, and Engagement in the Digital Era by Kapil Joshi, Rajesh Kumar, Salil Bharany, Dilip Kumar Jang Bahadur Saini, Rajiv Kumar, Ashraf Osman Ibrahim, Abdelzahir Abdelmaboud, Wamda Nagmeldin, Mohammad Awad Medani

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Time-Qualified Patterns of Variation of PPARγ, DNMT1, and DNMT3B Expression in Pancreatic Cancer Cell Lines by Valerio Pazienza, Francesca Tavano, Massimo Francavilla, Andrea Fontana, Fabio Pellegrini, Giorgia Benegiamo, Vincenzo Corbo, Fabio Francesco di Mola, Pierluigi Di Sebastiano, Angelo Andriulli, Gianluigi Mazzoccoli

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Nutritional intake of micronutrient and macronutrient and type 2 diabetes: machine learning schemes by Mohammad Rashidmayvan, Amin Mansoori, Elahe Derakhshan-Nezhad, Davoud Tanbakuchi, Fatemeh Sangin, Maryam Mohammadi-Bajgiran, Malihehsadat Abedsaeidi, Sara Ghazizadeh, MohammadReza Mohammad Taghizadeh Sarabi, Ali Rezaee, Gordon Ferns, Habibollah Esmaily, Majid Ghayour-Mobarhan

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Reconstruction for Time-Domain In Vivo EPR 3D Multigradient Oximetric Imaging—A Parallel Processing Perspective by Christopher D. Dharmaraj, Kishan Thadikonda, Anthony R. Fletcher, Phuc N. Doan, Nallathamby Devasahayam, Shingo Matsumoto, Calvin A. Johnson, John A. Cook, James B. Mitchell, Sankaran Subramanian, Murali C. Krishna

“…The reported system has been designed to be easily accessible even from low-cost personal computers through local internet (NIHnet). The experimental results demonstrate that the parallel computing provides a source of high computational power to obtain biophysical parameters from 3D EPR oximetric imaging, almost in real-time.…”
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Physical Activity, Fatigue, and Sleep in People with Parkinson’s Disease: A Secondary per Protocol Analysis from an Intervention Trial by S. Coe, M. Franssen, J. Collett, D. Boyle, A. Meaney, R. Chantry, P. Esser, H. Izadi, H. Dawes

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Assessment of the Distributed Ledger Technology for Energy Sector Industrial and Operational Applications Using the MITRE ATT&CK® ICS Matrix by Annabelle Lee, Sri Nikhil Gupta Gourisetti, David Jonathan Sebastian-Cardenas, Kent Lambert, Vicente Navarro, Marco Pasetti, Umit Cali, Kateryna Isirova, Ramesh Reddi, Puica Nitu, Md. Touhiduzzaman, Michael Mylrea, Philip Huff, Farrokh Rahimi, Shammya Shananda Saha

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QCD predictions for simultaneously produced Higgs and vector bosons at $$\sqrt{s}$$ s = 13, 14, 27 and 100 TeV with a comprehensive study of systematic uncertainty and charge asymm... by Kamuran Dilsiz, Emrah Tiras, Meryem Yilmaz, Hasan Ogul

“…A simulation framework was built for the calculations at the TRUBA high-performance grid computing center. Then, the threshold values (selection cuts) close to the values used by the CMS and ATLAS Collaborations were selected and used on several parameters such as invariant mass, transverse momentum ( $$p_{T}$$ p T ), pseudorapidity ( $$\eta $$ η ), etc. …”
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mbctools: A User-Friendly Metabarcoding and Cross-Platform Pipeline for Analyzing Multiple Amplicon Sequencing Data across a Large Diversity of Organisms by Barnabé, Christian, Sempéré, Guilhem, Manzanilla, Vincent, Millan, Joel Moo, Amblard-Rambert, Antoine, Waleckx, Etienne

“…To adapt to the diversity of projects in metabarcoding, we facilitate the reprocessing of datasets with the possibility to adjust parameters. mbctools can also be launched in a headless mode, making it suited for integration into pipelines running on High-Performance Computing environments. mbctools is available at https://github.com/GuilhemSempere/mbctools, https://pypi.org/project/mbctools/.…”
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Urban green infrastructure index: Assessing supply of regulating and cultural ecosystem services at a megacity scale by Yury Dvornikov, Valentina Grigorieva, Vyacheslav Vasenev, Mikhail Varentsov, Olga Romzaykina, Olga Maximova, Anastasia Konstantinova, Victor Matasov, Ekaterina Kozlova

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Combinatorial functionomics identifies HDAC6-dependent molecular vulnerability of radioresistant head and neck cancer by Sharon Pei Yi Chan, Celestia Pei Xuan Yeo, Boon Hao Hong, Evelyn Mui Cheng Tan, Chaw Yee Beh, Eugenia Li Ling Yeo, Dennis Jun Jie Poon, Pek Lim Chu, Khee Chee Soo, Melvin Lee Kiang Chua, Edward Kai-Hua Chow

“…Drug combination efficacy was evaluated by computing combination index scores, and by measuring apoptotic response. …”
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Analisis Sentimen terhadap Kebijakan Kuliah Daring Selama Pandemi Menggunakan Pendekatan Lexicon Based Features dan Support Vector Machine by Natasya Eldha Oktaviana, Yuita Arum Sari, Indriati Indriati

“…Sentiment analysis is useful for determining the timeliness of system computing in discussions on Twitter regarding online learning policies that tend to have negative or positive sentiments using the Support Vector Machine and Lexicon Based Features methods. …”
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Game mechanics in eHealth interventions promoting self-management in young people with chronic diseases: a protocol for a systematic review and meta-analyses from the eHealth Junio... by Sanne L Nijhof, Elise van de Putte, Fernando Estévez-López, Wichor M Bramer, Lisa Levelt, Job van ’t Veer, Micah M Hrehovcsik, Valentijn Visch, Manon H. J. Hillegers, Remco C Veltkamp

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Analisis Perbaikan dan Pemodelan Proses Bisnis Menggunakan Business Process Improvement Pada Sistem Manajemen Budidaya Buah Agrowing by Addini Yusmar, Yani Nurhadryani, Irman Hermadi

“…Testing is performed by simulating business process time using the bizagi modeler tool and computing quality measures with the Complexity Metric (CFC) and Coupling Metric (CP). …”
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Amending the algorithm of aerosol–radiation interactions in WRF-Chem (v4.4) by J. Feng, C. Zhao, C. Zhao, C. Zhao, C. Zhao, C. Zhao, C. Zhao, Q. Du, Z. Yang, C. Jin

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“Beyond the Finish Line” the Epidemiology of Injury and Illness in Professional Cycling: Insights from a Year-Long Prospective Study by Thomas Fallon, Rory Nolan, John Peters, Neil Heron

“…All data were processed on a Macintosh computer using the Microsoft Office and R statistics packages epi tools, binom.test function, and ggplot. …”
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The role of 5G network in revolutionizing agriculture for sustainable development: A comprehensive review by Wasif ur Rehman, Mohsin Ali Koondhar, Samandar Khan Afridi, Lutfi Albasha, Idris H. Smaili, Ezzeddine Touti, Mouloud Aoudia, Wassim Zahrouni, Ibrahim Mahariq, M.M.R. Ahmed

“…This paper presents a comprehensive review of the challenges, considerations, and future directions of integrating 5G technologies into smart agriculture, aligning with Sustainable Development Goals (SDGs) such as SDG 2 (Zero Hunger) and SDG 9 (Industry, Innovation, and Infrastructure).Key topics discussed include the necessity of dense network infrastructure, optimization strategies for cross-deployment of 5G and sensing networks, and the role of edge computing in 5G-enabled farming production. Additionally, the paper explores development optimization of various nodes, fault detection, self-healing mechanisms, AI application optimization, and security issues specific to 5G-enabled smart agriculture. …”
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Zero-BertXGB: An Empirical Technique for Abstract Classification in Systematic Reviews by Mohammad Shariful Islam, Mohammad Abu Tareq Rony, Md Rasel Hossain, Samah Alshathri, Walid El-Shafai

“…A significant research gap in abstract classification has been identified in previous literature, particularly in comparing Large Language Models (LLMs) with traditional ML and Natural Language Processing (NLP) techniques regarding scalability, adaptability, computational efficiency, and real-time application. …”
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Tools for the Analysis of Quantum Protocols Requiring State Generation Within a Time Window by Bethany Davies, Thomas Beauchamp, Gayane Vardoyan, Stephanie Wehner

“…Specifically, with an example of a blind quantum computing protocol, we illustrate how they may be used to infer <inline-formula><tex-math notation="LaTeX">$w$</tex-math></inline-formula> and <inline-formula><tex-math notation="LaTeX">$p$</tex-math></inline-formula> to optimize the rate of successful protocol execution.…”
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Mathematical modelling-based blockchain with attention deep learning model for cybersecurity in IoT-consumer electronics by Hayam Alamro, Mohammed Maray, Jawhara Aljabri, Saad Alahmari, Monir Abdullah, Jehad Saad Alqurni, Faiz Abdullah Alotaibi, Abdelmoneim Ali Mohamed

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