Glaucoma Home Monitoring Using Online Circular Contrast Perimetry Over 6 Months: Performance and Patient Attitudes in the Developing World Setting by Hoang TT, Mai TQ, Pham DT, Nguyen XT, Nguyen DA, Vu DT, Hoang HT, Skalicky SE

“…Tung Thanh Hoang,1– 3,* Tung Quoc Mai,1,* Dung Thi Pham,1 Xuan Thi Nguyen,1 Duc-Anh Nguyen,1 Diu Thi Vu,1 Hien Thi Hoang,1 Simon Edward Skalicky4,5 1Ophthalmology Department, Hanoi Medical University, Hanoi, Vietnam; 2Ophthalmology Unit, Hanoi Medical University Hospital, Hanoi, Vietnam; 3Save Sight Institute, The University of Sydney, Sydney, NSW, Australia; 4Department of Surgery, The University of Melbourne, Melbourne, VIC, Australia; 5Glaucoma Investigation and Research Unit, the Royal Victorian Eye and Ear Hospital, Melbourne, VIC, Australia*These authors contributed equally to this workCorrespondence: Tung Thanh Hoang, Ophthalmology Department, Hanoi Medical University, No. 1 Ton That Tung str, Dong Da distr, Hanoi, 11518, Vietnam, Email tung.hoang@sydney.edu.auPurpose: Online circular contrast perimetry (OCCP) provides perimetry on any computer or tablet without additional hardware. …”
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The relationship of students’ emotional intelligence and the level of their readiness for online education: A contextual study on the example of university training in Saudi Arabia... by A. M. Alenezi

“…The analysis of the survey data showed the variance between the measured respondents’ characteristics depending on the area of specialisation. If compared with the Sciences and Arts students, the representatives of the Faculties IT and Pharmacy demonstrated higher level skills to undertake online training, more expressed skills of self-control and computer selfefficacy. …”
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Predicting Insemination Outcome in Holstein Dairy Cattle using Deep Learning by Mohammad Alishahi, Mahdi Ravakhah

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Analyzing Agricultural Land Price Prediction Using Linear Regression and XGBoost Machine Learning Algorithms: A Case Study of Çanakkale by Simge Doğan, Levent Genç, Sait Can Yücebaş, Metin Uşaklı

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SVD-Krylov–Based Structure-Preserving Techniques for Approximation of a Class of Second-Order Index-1 Descriptor Systems by Mahtab Uddin, M. Monir Uddin, Md. Abdul Hakim Khan

“…This work is aimed at deriving a computationally efficient approach to approximate the second-order Index-1 descriptor systems without exploiting the fundamental structure of the systems, which ensures both the accuracy of the approximation and the feasibility of computation time. …”
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SOA Services Identification and Design Methods From Business Models: A Systematic Literature Review by Redouane Blal, Abderrahmane Leshob, Hafedh Mili, Imen Benzarti, Pierre Hadaya, Raqeebir Rab

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Development of educational robotics: Problems and prospects by S. A. Zaytseva, V. V. Ivanov, V. S. Kiselev, A. F. Zubakov

“…The most significant problems of integrating educational robotics into school and additional education are highlighted: weak material base for organising classes; absence or low qualification of existing teachers; lack of a clear systemic plan for the implementation of robotics in the education of schoolchildren; lack of educational and methodological support. As strategies for the provision of education with teachers in educational robotics, the following are proposed: introduction into the practice of professional training of teachers in the higher education system of the profile “Educational Robotics”; implementation of professional retraining under the “Educational Robotics” programme for teachers of computer science, mathematics, technology, physics and primary education; attracting students –future teachers to receive additional education at the stage of study at the university in the framework of professional training “Pedagogy of Additional Education: Robotics”.Scientific novelty. …”
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Point Cloud Completion of Occluded Corn with a 3D Positional Gated Multilayer Perceptron and Prior Shape Encoder by Yuliang Gao, Zhen Li, Tao Liu, Bin Li, Lifeng Zhang

“…The experimental results show that the proposed method can complete the corn point cloud more effectively, using a small model to help estimate the pose and dimensions of corn accurately. This work supports the precise phenotypic analysis of corn and similar crops, such as citrus and tomatoes, and promotes the development of smart agricultural technology.…”
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Congestion Management Using an Optimized Deep Convolution Neural Network in Deregulated Environment by Dhanadeepika B., Vanithasri M., Chakravarthi M.

“…This failure is primarily caused due to an increase in loads or loss of transmission lines or generators in modern restructured power networks. This work introduces a CM approach using Deep Convolution Neural Network (DCNN) for minimizing congestion and supporting Independent System Operators (ISOs). …”
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Semantic analysis of social media messages of patients with neovascular age-related macular degeneration and diabetic macular edema by open Internet sources — a study of patients'... by V. V. Neroev, O. V. Zaytseva, A. Yu. Berdieva, Z. M. Gabdullina, M. N. Pudikov, A. A. Leonova, V. F. Khoroshevsky

“…Quality of life (QoL) was shown to be significantly affected with inability to work as a major burden for 30 % of nAMD patients, and diabetes-associated comorbidities as a key factor compromising QoL in 20 % of DR patients. …”
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Special Issue on Contemporary Research Studies in Operations Research, Business Analytics, and Business Intelligence by Viswanath Kumar Ganesan, S. Vinodh, Malolan Sundararaman, M. Vimala Rani, M. Mathirajan

“…This approach surpasses traditional readability indices, offering substantial benefits for content creation and knowledge management in fields like education, business, technical support, and policy platforms. Strategic Insights into Blockchain Adoption in Automotive Supply Chains: A Comparative AHP-TOPSIS and TISM-MICMAC Analysis The authors explore blockchain adoption in the automotive industry using a multidisciplinary approach involving AHP, TOPSIS, TISM, and MICMAC analyses. …”
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Organising general practice for care homes: a multi-method study by Barbara Hanratty, Rachel Stocker, David Sinclair, Katie Brittain, Karen Spilsbury, Daniel Stow, Louise Robinson, Fiona E Matthews

“…NHS England funded the Vanguard initiative (2015–8) to identify and support innovative ways of working with care homes in five areas. …”
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IM- LTS: An Integrated Model for Lung Tumor Segmentation using Neural Networks and IoMT by Jayapradha J, Su-Cheng Haw, Naveen Palanichamy, Kok-Why Ng, Senthil Kumar Thillaigovindhan

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Simulating and Verifying a 2D/3D Laser Line Sensor Measurement Algorithm on CAD Models and Real Objects by Rok Belšak, Janez Gotlih, Timi Karner

“…This work not only reduces the need for physical prototyping, thereby contributing to sustainability, but also supports AI training by generating accurate synthetic data. …”
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Prediction of porosity, hardness and surface roughness in additive manufactured AlSi10Mg samples. by Fatma Alamri, Imad Barsoum, Shrinivas Bojanampati, Maher Maalouf

“…For this purpose, data including porosity, surface hardness, and roughness were extracted from the literature, and additional measurements were performed on additive manufactured samples in the current work. This work compares five supervised machine learning algorithms, including artificial neural networks, support vector regression, kernel ridge regression, random forest, and Lasso regression. …”
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Calculation of a heat exchanger using heat pipes in the exhaust air heat recovery system by A. S. Zaitsev, M. V. Shamarov, R. A. Zhlobo, E. O. Ivchenko

“…The research is based on methods of thermodynamic analysis, full-scale and computational modeling of processes and objects of refrigeration and cryogenic technology, air conditioning and life support systems. …”
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LCAT: A Lightweight Color-Aware Transformer With Hierarchical Attention for Leaf Disease Classification in Precision Agriculture by Parkpoom Chaisiriprasert, Khachonkit Chuiad

“…Future work includes extending LCAT to support more crop species and plant diseases and integrating it into comprehensive decision support systems for precision agriculture.…”
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A novel and optimized design of D-latch and D flip-flop for QCA-based digital systems by Pezhman Kiani Vosta, Mohammad Gholami

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Overview of research on trusted attestation technology of cloud virtualization platform by Bibo TU, Jie CHENG, Haojun XIA, Kun ZHANG, Ruina SUN

“…With the rapid development of cloud computing， the security issues of cloud platforms have also attracted much attention.Trusted computing is an essential supporting technology in the cloud computing security system.Trusted attestation is an important feature in trusted computing.The use of trusted attestation technology verifies whether the cloud virtualization platform is trustworthy， thereby providing a foundation for ensuring the security of the cloud platform.Now based on the definition of trusted attestation， the research progress of key technologies such as the root of trust virtualization， platform identity authentication， platform status certification， and trusted attestation framework for virtual machines were systematically sorted out， typical schemes were analyzed and compared.Furthermore， the limitations of existing work were discussed.Finally， the future research trend of this area were pointed out.…”
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RUL prediction method based on cross-view hybrid network model by Ai Yandi, Fang Dong, Tian Zhiping, Yan Kaiyang

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