Alcohol intake and mortality risk of COVID-19, pneumonia, and other infectious diseases: An analysis of 437191 UK biobank participants

This study aims to investigate the association between alcohol consumption and COVID-19, infectious diseases, and pneumonia mortality. This is a prospective analysis of 437,191 UK Biobank participants (age 56.3 years, 54% female). The main exposure was self-reported alcohol consumption. In addition to never and previous drinkers, we applied quartiles-based and UK guidelines-based criteria to divide current drinkers by weekly consumption into four groups. Outcomes included COVID-19, infectious diseases, and pneumonia mortality, obtained from the national death registries until May 2020. After an 11-year follow-up, compared to never drinkers, previous drinkers had higher mortality risks of infectious diseases and pneumonia (adjusted HR: 1.29 [95% CI 1.06–1.57] and 1.35 [1.07–1.70], respectively), but not COVID-19. There was a curvilinear association of alcohol consumption with infectious diseases and pneumonia mortality. Drinking within-guidelines (<14 UK units/wk) and amounts up to double the recommendation (14 to < 28 UK units/wk) was associated with the lowest mortality risks of infectious diseases (0.70 [0.59–0.83] and 0.70 [0.59–0.83], respectively) and pneumonia (0.71 [0.58–0.87] and 0.72 [0.58–0.88], respectively). Alcohol consumption was associated with lower risks of COVID-19 mortality (e.g., drinking within-guidelines: 0.53 [0.33–0.86]). Drinkers reporting multiples of the recommended alcohol drinking amounts did not have higher mortality risks of COVID-19 and other infectious diseases than never drinkers. Despite the well-established unfavorable effects on general health, we found no deleterious associations between alcohol consumption and the risk of infectious diseases, including COVID-19. Future research with other study designs is needed to confirm the causality

Data-driven curation, learning and analysis for inferring evolving IoT botnets in the wild

The insecurity of the Internet-of-Things (IoT) paradigm continues to wreak havoc in consumer and critical infrastructure realms. Several challenges impede addressing IoT security at large, including, the lack of IoT-centric data that can be collected, analyzed and correlated, due to the highly heterogeneous nature of such devices and their widespread deployments in Internet-wide environments. To this end, this paper explores macroscopic, passive empirical data to shed light on this evolving threat phenomena. This not only aims at classifying and inferring Internet-scale compromised IoT devices by solely observing such one-way network traffic, but also endeavors to uncover, track and report on orchestrated "in the wild" IoT botnets. Initially, to prepare the effective utilization of such data, a novel probabilistic model is designed and developed to cleanse such traffic from noise samples (i.e., misconfiguration traffic). Subsequently, several shallow and deep learning models are evaluated to ultimately design and develop a multi-window convolution neural network trained on active and passive measurements to accurately identify compromised IoT devices. Consequently, to infer orchestrated and unsolicited activities that have been generated by well-coordinated IoT botnets, hierarchical agglomerative clustering is deployed by scrutinizing a set of innovative and efficient network feature sets. By analyzing 3.6 TB of recent darknet traffic, the proposed approach uncovers a momentous 440,000 compromised IoT devices and generates evidence-based artifacts related to 350 IoT botnets. While some of these detected botnets refer to previously documented campaigns such as the Hide and Seek, Hajime and Fbot, other events illustrate evolving threats such as those with cryptojacking capabilities and those that are targeting industrial control system communication and control services

Transmission Properties of FeCl₃-Intercalated Graphene and WS₂ Thin Films for Terahertz Time-Domain Spectroscopy Applications

This is the final version. Available on open access from Springer via the DOI in this recordTime-resolved terahertz spectroscopy has become a common method both for fundamental and applied studies focused on improving the quality of human life. However, the issue of finding materials applicable in these systems is still relevant. One of the appropriate solutions is 2D materials. Here, we demonstrate the transmission properties of unique graphene-based structures with iron trichloride FeCl3 dopant on glass, sapphire and Kapton polyimide film substrates that previously were not investigated in the framework of the above-described problems in near infrared and THz ranges. We also show properties of a thin tungsten disulfide WS2 film fabricated from liquid crystal solutions transferred to a polyimide and polyethylene terephthalate substrates. The introduction of impurities, the selection of structural dimensions and the use of an appropriate substrate for modified 2D layered materials allow to control the transmission of samples for both the terahertz and infrared ranges, which can be used for creation of effective modulators and components for THz spectroscopy systems.Engineering and Physical Sciences Research Council (EPSRC)Government of the Russian Federatio

Histopathological Changes of the Flaxseed Extract on Skin Wound Healing in Diabetic Rabbits

BACKGROUND: Wound healing includes phases such as cell migration, extracellular matrix deposition, remodeling, and angiogenesis. There are growing medicines that accelerate wound healing, significantly herbal medications that mainly safe and reliable. AIM: The aim of the study is to examine the histological changes induced by flaxseed oil during wound healing in diabetic animal model. METHODS: Forty-five male white New Zealand rabbits divided into two main groups diabetic and non-diabetic each group is divided into three groups (n = 9).Diabetic animal group include: (1) Study group (adding Flaxseed), (2) positive control group (adding fucidin 2% cream), and (3) negative control group (no treatment) same distribution of non-diabetic animals groups. Four linearshape,full-thickness wounds were made in both sides of the backbone skin in each animal. Tissue samples were obtained at days 4th, 7th, and 14th post wounding for microscopical analysis, histopathological parameters included inflammation, re-epithelialization, neovascularization, and surface closure rates. RESULTS: The study groups (using flax seed) in both diabetic and non-diabetic groups show significant reduction in inflammatory cells infiltration at day 14 (0.67 ± 0.753) (1.67 ± 0.516), and noticeable increase in wound closure rate (4.00+-0.000). Both diabetic and non-diabetic animal groups show high re-epithelialization potential at day 4 and day 7, respectively (2.00 ± 1.549; 4.00 ± 0.00). Diabetic animal study group using flaxseed shows high neovascularization rate at the day 14 (2.17 ± 0.753) compared with positive control diabetic animal group (2.00 ± 0.000). CONCLUSION: Topical application of flaxseed promoted healing process particularly in diabetic animal model by shortening inflammation phase, elevating surface closure rate, promoting re-epithelialization process, and enhancing neovascularization, flaxseed is suggested as a potential effective herbal base medication for facilitating wound healing

Structural and Optical Properties of Varies Thickness of Znte Nanoparticle

ZnTe thin films of different thicknesses were deposited onto glass substrates for optical devices applications. Xray diffractogram of different thicknesses for ZnTe films are measured and their patterns exhibits polycrystalline nature with a preferential orientation along the (111) plane. X-ray diffraction techniques have been employed to determine the microstructure parameters, both crystallite size and microstrain. Film thickness and the optical constants of ZnTe films were calculated based on the measured transmittance spectral data using Swanepole’s method in the wavelength range 400–2500 nm. The refractive index n and absorption index k were calculated, and the refractive index exhibits a normal dispersion. The refractive index could be extrapolated by Cauchy dispersion relationship over the whole spectra range, which extended from 400 to 2500 nm. The optical band gap can be calculated in strong absorption region and displays an allowed direct transition. Both the refractive index and the band gap increase with the increase film thickness, thus ZnTe/glass substrates are good candidates in optoelectronic devices

Structural and Optical Properties of Varies Thickness of Znte Nanoparticle

ZnTe thin films of different thicknesses were deposited onto glass substrates for optical devices applications. Xray diffractogram of different thicknesses for ZnTe films are measured and their patterns exhibits polycrystalline nature with a preferential orientation along the (111) plane. X-ray diffraction techniques have been employed to determine themicrostructure parameters, both crystallite size and microstrain. Film thickness and the optical constants of ZnTe films were calculated based on the measured transmittance spectral data using Swanepole’s method in the wavelength range 400–2500 nm. The refractive index n and absorption index k were calculated and the refractive index exhibits a normal dispersion. The refractive index could be extrapolated by Cauchy dispersion relationship over the whole spectra range, which extended from 400 to 2500 nm. The optical band gap can be calculated in strong absorption region and displays an allowed direct transition. Both the refractive index and the band gap increase with the increase film thickness, thus ZnTe/glass substrates are good candidates in optoelectronic devices.Keywords: ZnTe, thin film, cry crystallitze size; microstrain; optical constants