With countless devices connected to the Internet of Things, trust mechanisms are especially important. IoT devices are more deeply embedded in the privacy of people's lives, and their security issues cannot be ignored. Smart contracts backed by blockchain technology have the potential to solve these problems. Therefore, the security of smart contracts cannot be ignored. We propose a flexible and systematic hybrid model, which we call the Serial-Parallel Convolutional Bidirectional Gated Recurrent Network Model incorporating Ensemble Classifiers (SPCBIG-EC). The model showed excellent performance benefits in smart contract vulnerability detection. In addition, we propose a serial-parallel convolution (SPCNN) suitable for our hybrid model. It can extract features from the input sequence for multivariate combinations while retaining temporal structure and location information. The Ensemble Classifier is used in the classification phase of the model to enhance its robustness. In addition, we focused on six typical smart contract vulnerabilities and constructed two datasets, CESC and UCESC, for multi-task vulnerability detection in our experiments. Numerous experiments showed that SPCBIG-EC is better than most existing methods. It is worth mentioning that SPCBIG-EC can achieve F1-scores of 96.74%, 91.62%, and 95.00% for reentrancy, timestamp dependency, and infinite loop vulnerability detection.
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http://dx.doi.org/10.3390/s22124621 | DOI Listing |
Iran J Microbiol
December 2024
Infectious Diseases Research Center, Birjand University of Medical Sciences, Birjand, Iran.
Background And Objectives: Understanding the epidemiology of species among cancer patients is crucial for preventing invasive infections. This study aimed to identify species and assess risk factors among cancer patients receiving chemotherapy in Birjand, eastern Iran.
Materials And Methods: The samples were obtained from the oral cavity of 140 patients and the initial identification of species was carried out through fungal cultures.
Cureus
November 2024
Cardiology, National Institute of Cardiovascular Diseases, Karachi, PAK.
Introduction: Patients receiving renal transplants have weakened immune systems and are more vulnerable to lung infections.
Objectives: To determine the diagnostic accuracy of high-resolution computed tomography (HRCT) in detecting pneumocystis carinii in renal transplant patients presenting with pulmonary infection in a tertiary care transplant center, keeping bronchoalveolar lavage (BAL) as the gold standard.
Methods: This cross-sectional study was conducted at the Department of Radiology, Sindh Institute of Urology and Transplant, Karachi, from February 14, 2023, to August 13, 2023.
Front Psychol
December 2024
Department of Psychology, Chung-Ang University, Seoul, Republic of Korea.
Anxiety is related with the substance use, including cigarette smoking. Avoidance is one of the strategies smokers with anxiety adopt to manage negative affect, which can be contradictory to a strategy of cigarette warnings that is used to induce negative affect to change smoking behaviors. Therefore, this study examined whether smokers' anxiety levels decrease their attentional biases toward cigarette warnings, especially in response to emotional distress.
View Article and Find Full Text PDFAlzheimers Res Ther
December 2024
Faculty of Health, Medicine and Life Sciences, Mental Health and Neuroscience Research Institute, Alzheimer Centre Limburg, Maastricht University, Maastricht, The Netherlands.
Background: Although separate lines of research indicated a moderating role of sex in both sleep-wake disruption and in the interindividual vulnerability to Alzheimer's disease (AD)-related processes, the quantification of sex differences in the interplay between sleep-wake dysregulation and AD pathology remains critically overlooked. Here, we examined sex-specific associations between circadian rest-activity patterns and AD-related pathophysiological processes across the adult lifespan.
Methods: Ninety-two cognitively unimpaired adults (mean age = 59.
Netw Neurosci
December 2024
Department of Radiology, Washington University in St. Louis, St. Louis, MO, USA.
Hub regions in the brain, recognized for their roles in ensuring efficient information transfer, are vulnerable to pathological alterations in neurodegenerative conditions, including Alzheimer's disease (AD). Computational simulations and animal experiments have hinted at the theory of activity-dependent degeneration as the cause of this hub vulnerability. However, two critical issues remain unresolved.
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