Glu4: An open-source package for real-time forecasting and alerting post-bariatric hypoglycemia based on continuous glucose monitoring by Luca Cossu, Francesco Prendin, Giacomo Cappon, David Herzig, Lia Bally, Andrea Facchinetti

“…A run-to-run algorithm forecasts future glucose levels using past CGM data, identifying potential hypoglycemic events 30 min in advance. An intelligent alarm system alerts users when glucose levels are predicted to drop below a critical threshold, prompting preventive action. …”
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Improving the Competitiveness of the Leading Universities of the North Caucasus Federal District in Sync with the Objectives of Regional Development by D. V. Petrosyants, V. V. Zubenko, P. S. Seleznev, I. V. Arzhanova

“…The authors note the lack of intelligible parameters used in the formation of the target admission levels in the universities of the North Caucasus Federal District, the weak connection of these figures with the real economy. …”
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WED-YOLO: A Detection Model for Safflower Under Complex Unstructured Environment by Zhenguo Zhang, Yunze Wang, Peng Xu, Ruimeng Shi, Zhenyu Xing, Junye Li

“…The enhanced model exhibits superior precision and lower miss detection rates in safflower recognition tasks, providing a robust algorithmic foundation for the intelligent harvesting of safflowers.…”
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Construction and effect of interactive teaching methods in the college badminton classroom using fuzzy-assisted virtual reality modeling: a case study in Chinese universities by Yinghao Li, Mohd Jawis

“…In addition to fostering Badminton Students' professional skills, universities should emphasize the importance of Badminton Students' physical well-being in comparison to the conventional approaches used by the control group to teach badminton; the neural network-based intelligent teaching system performs better. Fuzzy-assisted  VR badminton classes provide several potential benefits for Badminton Students' learning abilities, including repeated practice and understanding of essentials, adjusting posture and mastering the knack, teamwork and mutual support, and promoting motivation and learning. …”
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From Heritage Building Information Modelling Towards an ‘Echo-Based’ Heritage Digital Twin by Hord Arsalan, David Heesom, Nigel Moore

“…Many of these studies have focused on the use of BIM software tools to generate intelligent 3D models using information gathered from a range of data capture techniques including laser scanning and photogrammetry. …”
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Efficient Path Planning and Formation Control in Multi-Robot Systems: A Neural Fields and Auto-Switching Mechanism Approach by Raouf Fareh, Mohammed Baziyad, Tamer Farouk Rabie, Sofiane Khadraoui, Mohammad Habibur Rahman

“…On the other hand, the follower robots are equipped with an auto-switching potential method, which intelligently toggles between attractive forces guiding the followers toward the leader and repulsive forces preventing collisions based on a mathematical model. …”
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Ethnic Architectural Heritage Identification Using Low-Altitude UAV Remote Sensing and Improved Deep Learning Algorithms by Ting Luo, Xiaoqiong Sun, Weiquan Zhao, Wei Li, Linjiang Yin, Dongdong Xie

“…This breakthrough greatly improves the accuracy and robustness of the identification of architecture in low-altitude remote sensing images and provides strong technical support for the protection and intelligent analysis of architectural heritage.…”
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Effects of cardiovascular health, musculoskeletal health and physical fitness on occupational performance of firefighters: protocol for a systematic review and meta-analysis by Andre Pascal Kengne, Denise Smith, Jaron Ras, Elpidoforos Soterakis Soteriades, Lloyd Leach

“…A researcher-generated form with the key characteristics of each study will be used to retrieve all relevant details from the selected studies for initial eligibility screening. The Rayyan Intelligent Systematic Review tool will be used to screen and select studies for inclusion, and information from the included studies will be captured on the researcher-generated data extraction form. …”
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Transformer-Based Person Detection in Paired RGB-T Aerial Images With VTSaR Dataset by Xiangqing Zhang, Yan Feng, Nan Wang, Guohua Lu, Shaohui Mei

“…Aerial-based person detection poses a significant challenge, yet it is crucial for real-world applications like air-ground linkage search and all-weather intelligent corescuing. However, existing person detection models designed for aerial images heavily rely on numerous labeled instances and exhibit limited tolerance towards complex lighting conditions commonly encountered in search and rescue (SaR) scenarios. …”
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Designing a model of mutual expectations in the relationship between the person and the organization in governmental organizations and service providers in Isfahan based on the phe... by Abbas Nosouhi, Akbar Etebarian, Mehraban Hadi Peykani

“…In the organization questionnaire, the respondents claim that the client's supply to the organization is much less than the organization's demand from the client.Originality/Value: The results of this research can be effective in the theoretical development of the relationship between governmental organizations and service providers and clients, and policy makers and managers can create intelligent structures to reduce the expectations of clients and employees of governmental organizations and provide more favorable conditions for service and receiving services.…”
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A two-tier optimization strategy for feature selection in robust adversarial attack mitigation on internet of things network security by Kashi Sai Prasad, P Udayakumar, E. Laxmi Lydia, Mohammed Altaf Ahmed, Mohamad Khairi Ishak, Faten Khalid Karim, Samih M. Mostafa

“…Numerous research works were keen to project intelligent network intrusion detection systems (NIDS) to avert the exploitation of IoT data through smart applications. …”
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A novel 3D analytical model and numerical study of bimorph piezoelectric actuators in d33 mode by A. Almusallam, M.A. Belaid

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Boosting skin cancer diagnosis accuracy with ensemble approach by Priya Natha, Sivarama Prasad Tera, Ravikumar Chinthaginjala, Safia Obaidur Rab, C. Venkata Narasimhulu, Tae Hoon Kim

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Optimization of a photovoltaic/wind/battery energy-based microgrid in distribution network using machine learning and fuzzy multi-objective improved Kepler optimizer algorithms by Fude Duan, Mahdiyeh Eslami, Mohammad Khajehzadeh, Ali Basem, Dheyaa J. Jasim, Sivaprakasam Palani

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A compact and Ultra-sensitive microfiber based interferometer sensor for precise electrical current detection by Guoyu Li, Fei Xie, Yan Li, Hongtao Li, Rui Liu, Ao Wang, Lili Liang

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High-precision multi-focus laser sculpting of microstructured glass by Kang Xu, Peilin Huang, Lingyu Huang, Li Yao, Zongyao Li, Jiantao Chen, Li Zhang, Shaolin Xu

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Drought characteristics and propagation under anthropogenic impacts: A regional-scale modelling analysis in four Large Basins of China by Haoran Hao, Ningpeng Dong, Mingxiang Yang, Xin Huang, Hejia Wang, Hao Wang

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Smoke control and temperature distribution of tunnel fires under longitudinal ventilation combined with shaft exhaust by Xinyue Zhang, Weiling Ma, Liangliang Tao, Yanhua Zeng, Yumin Wen

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WEB-BASED LEARNING AND STUDENTS' SCHOLASTIC ACCOMPLISHMENT AT NATIONAL OPEN UNIVERSITY OF NIGERIA by Taofeek Gbolahan Muibi

“…Web based learning meetings ought to be planned with significant and profoundly captivating and intelligent learning exercises to lessen fatigue among detached students during learning.   …”
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Hierarchical graph-based integration network for propaganda detection in textual news articles on social media by Pir Noman Ahmad, Jiequn Guo, Nagwa M. AboElenein, Qazi Mazhar ul Haq, Sadique Ahmad, Abeer D. Algarni, Abdelhamied A. Ateya

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