Internet addiction and its relationship with food choice motives and the risk of eating disorders among young adults in Malaysia

Internet addiction and its relationship with food choice motives and the risk of eating disorders among young adults in Malaysia

The socio-demographic characteristics of young adults are presented in Table 1. Out of the 331 young adults who participated in this study, the majority were females (n = 186, 56.2%), aged between 25 and 30 (n = 236, 71.3%), Malay (n = 189, 57.1%), with a single marital status (n = 237, 71.6%), tertiary educated (n = 294, 88.8%) and earned less than RM 5000 …

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More than 2 million research papers have disappeared from the Internet

More than 2 million research papers have disappeared from the Internet

A study identified more than two million articles that did not appear in a major digital archive, despite having an active DOI.Credit: Anna Berkut/Alamy More than one-quarter of scholarly articles are not being properly archived and preserved, a study of more than seven million digital publications suggests. The findings, published in the Journal of Librarianship …

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Real-world testing of an artificial intelligence algorithm for the analysis of chest X-rays in primary care settings

Real-world testing of an artificial intelligence algorithm for the analysis of chest X-rays in primary care settings

The aim of this study was to perform an external validation, in real clinical practice, of the diagnostic capability of an AI algorithm with respect to the reference radiologist for chest X-rays, as well as to detect possible diagnoses for which the algorithm had not been trained. Thus, the overall accuracy of the algorithm was …

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Interactive design generation and optimization from generative adversarial networks in spatial computing

Interactive design generation and optimization from generative adversarial networks in spatial computing

Icon generation model based on GANs The GAN is a network structure composed of generators and discriminators. The generator aims to generate samples similar to real data, while the discriminator aims to distinguish between the generated samples and real data. Through continuous adversarial learning, the generator gradually improves the fidelity of the generated samples, enabling …

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Dual-layer detector spectral CT-based machine learning models in the differential diagnosis of solitary pulmonary nodules

Dual-layer detector spectral CT-based machine learning models in the differential diagnosis of solitary pulmonary nodules

Patients SPN patients were collected retrospectively at the Department of Thoracic Surgery of Jiangsu Cancer Hospital from September 2021 to March 2023. The inclusion criteria of this study subjects were as follows: ① benign and malignant SPNs confirmed by histopathology after surgery or biopsy and ② preoperative DLCT chest enhancement examination. The exclusion criteria were …

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Efficiency optimization in quantum computing: balancing thermodynamics and computational performance

Efficiency optimization in quantum computing: balancing thermodynamics and computational performance

Raymer, M. G. & Monroe, C. The us national quantum initiative. Quantum Sci. Technol. 4, 020504. https://doi.org/10.1088/2058-9565/ab0441 (2019). Article  ADS  Google Scholar  McMahon, D. Quantum Computing Explained (Wiley, 2007). Book  Google Scholar  Nielsen, M. A. & Chuang, I. Quantum computation and quantum information. Phys. Todayhttps://doi.org/10.1017/CBO9780511976667 (2002). Article  Google Scholar  Sanders, B. C. How to Build …

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Secure routing in the Internet of Things (IoT) with intrusion detection capability based on software-defined networking (SDN) and Machine Learning techniques

Secure routing in the Internet of Things (IoT) with intrusion detection capability based on software-defined networking (SDN) and Machine Learning techniques

This section details the SRAIOT to improve communication security in the IoT structure. In SRAIOT, SDN creates a secure communication platform between network things. In this case, the network structure is divided into a set of subnets. The members of each subnet will be highly similar in terms of position and movement pattern, and this …

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Resource analysis and modifications of quantum computing with noisy qubits for elliptic curve discrete logarithms

Resource analysis and modifications of quantum computing with noisy qubits for elliptic curve discrete logarithms

Resource analysis scheme As the current level of physical quantum gates has a very high error rate, techniques such as QEC code and MSD should be used to create logical qubits and logical operations with low error rates. We performed a resource analysis using the physical-level analysis method and the equation for the required resources …

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Survival prediction of glioblastoma patients using modern deep learning and machine learning techniques

Survival prediction of glioblastoma patients using modern deep learning and machine learning techniques

Ostrom, Q. T. et al. CBTRUS statistical report: Primary brain and other central nervous system tumors diagnosed in the United States in 2010–2014. Neuro-Oncology 19, 1–88 (2017). Google Scholar  Omuro, A. & DeAngelis, L. M. Glioblastoma and other malignant gliomas: A clinical review. Jama 310, 1842–1850 (2013). PubMed  Google Scholar  Li, H., He, Y., Huang, …

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Boosting-based ensemble machine learning models for predicting unconfined compressive strength of geopolymer stabilized clayey soil

Boosting-based ensemble machine learning models for predicting unconfined compressive strength of geopolymer stabilized clayey soil

Zou, S. et al. Research on improving comprehensive properties of a new sawdust composite insulation material by torrefaction. Process Saf. Environ. Prot. 152, 361–374 (2021). Article  Google Scholar  Shaikh, F. U. A., Fairchild, A. & Zammar, R. Comparative strain and deflection hardening behaviour of polyethylene fibre reinforced ambient air and heat cured geopolymer composites. Constr. …

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