Garlic and ginger essential oil-based neomycin nano-emulsions as effective and accelerated treatment for skin wounds' healing and inflammation: and studies.

Skin, largest organ of human, is directly exposed to environment and hence is prone to high rates of injuries and microbial infections. Over the passage of time these microbes have developed resistance to antibiotics making them ineffective especially in lower doses and hence, higher dosages or new drugs are required. The current study deals with designing of nano-emulsion (NE) formulations composed of garlic and ginger oils (0.

Corrigendum: Life orientation and psychological distress in COVID recovered patients-the role of coping as a mediator.

[This corrects the article DOI: 10.3389/fpsyg.2022.

Effect of the Source-to-Substrate Distance on Structural, Optoelectronic, and Thermoelectric Properties of Zinc Sulfide Thin Films.

Zinc sulfide (ZnS) thin films with variable structural, optical, electrical, and thermoelectric properties were obtained by changing the source-to-substrate (SSD) distance in the physical-vapor-thermal-coating (PVTC) system. The films crystallized into a zinc-blende cubic structure with (111) preferred orientation. The films had a wide 3.

GGA and GGA + U Study of ThMnSi and ThMnGe Compounds in a Body-Centered Tetragonal Ferromagnetic Phase.

Our study used the full-potential linearized augmented plane waves (FP-LAPW) method to conduct a first-principles evaluation of the structural, electronic, and magnetic properties of ThMnX (X = Si and Ge) compounds. To establish theoretical dependability with the currently available experimental results, computations for the structural findings of ternary intermetallic thorium (Th)-based compounds were achieved using the generalized gradient approximation in the scheme of Perdew-Burke-Ernzerhof (PBE-GGA) potential, while the generalized gradient approximation plus the Hubbard U (GGA + U) approach was employed to improve the electrical and magnetic properties. In contrast with both the paramagnetic (PM) and antiferromagnetic (AFM) phases, the ThMnX compounds were optimized in a stable ferromagnetic (FM) phase, which was more suited for studying and analyzing magnetic properties.

Automated Analysis of Sleep Study Parameters Using Signal Processing and Artificial Intelligence.

An automated sleep stage categorization can readily face noise-contaminated EEG recordings, just as other signal processing applications. Therefore, the denoising of the contaminated signals is inevitable to ensure a reliable analysis of the EEG signals. In this research work, an empirical mode decomposition is used in combination with stacked autoencoders to conduct automatic sleep stage classification with reliable analytical performance.

Fear of COVID-19 and stress in university students: mediating role of cyberchondria and moderating role of creative coping and social supports.

Objective: To find the moderating role of social support and creative coping, and the mediating role of cyberchondria in relationship between fear of coronavirus disease-2019 and stress in university students.

Methods: The correlational study was conducted at the Lahore Garrison University, Lahore, Pakistan, between May and September 2020, and comprised students regardless of gender and age from different public and private universities across Pakistan. Data was collected online using Fear of Coronavirus Disease-2019 Scale, Cyberchondria Severity Scale, Creative Coping Strategies Scale, Social Support Survey, Perceived Stress Scale and Perception of Academic Stress Scale.

Botnet Attack Detection in IoT Using Machine Learning.

There are an increasing number of Internet of Things (IoT) devices connected to the network these days, and due to the advancement in technology, the security threads and cyberattacks, such as botnets, are emerging and evolving rapidly with high-risk attacks. These attacks disrupt IoT transition by disrupting networks and services for IoT devices. Many recent studies have proposed ML and DL techniques for detecting and classifying botnet attacks in the IoT environment.

Heparin-Loaded Alginate Hydrogels: Characterization and Molecular Mechanisms of Their Angiogenic and Anti-Microbial Potential.

Chronic wounds continue to be a global concern that demands substantial resources from the healthcare system. The process of cutaneous wound healing is complex, involving inflammation, blood clotting, angiogenesis, migration and remodeling. In the present study, commercially available alginate wound dressings were loaded with heparin.

Life orientation and psychological distress in COVID recovered patients-the role of coping as a mediator.

The coronavirus disease (COVID-19) pandemic has not only brought the risk of death but has brought unbearable psychological pressures to the people. Mental health of COVID patients is expected to be affected by the continuous spread of the pandemic. This study aims to find the mediating role of coping styles in the relationship between life orientation and psychological distress among COVID recovered patients.

Toward efficient dye degradation and the bactericidal behavior of Mo-doped LaO nanostructures.

In this study, different concentrations (0, 0.02, 0.04, and 0.

Removal of hexavalent chromium ions using micellar modified adsorbent: isothermal and kinetic investigations.

Hexavalent chromium is a very poisonous oxyanion and has had a negative impact on human health. This study assessed the viability of removing chromium(vi) using micellar modified adsorbents. In this study, chromium(vi) was removed from locally accessible wheat bran using separate applications of anionic sodium dodecyl sulfate (SDS) and cationic cetyltrimethylammonium bromide (CTAB) surfactants.

Apoptosis evasion via long non-coding RNAs in colorectal cancer.

Long non-coding RNA (LncRNA) is a novel and diverse class of regulatory transcripts that are frequently dysregulated in numerous tumor types. LncRNAs are involved in a complicated molecular network, regulating gene expression, and modulating diverse cellular activities in different cancers including colorectal cancer (CRC). Evidence indicates that lncRNAs can be used as a potential biomarker for the prognosis and diagnosis of CRC as they are aberrantly expressed in CRC cells.

Advances in database systems education: Methods, tools, curricula, and way forward.

Fundamentals of Database Systems is a core course in computing disciplines as almost all small, medium, large, or enterprise systems essentially require data storage component. Database System Education (DSE) provides the foundation as well as advanced concepts in the area of data modeling and its implementation. The first course in DSE holds a pivotal role in developing students' interest in this area.

Hybrid Approach for Improving the Performance of Data Reliability in Cloud Storage Management.

The digital transformation disrupts the various professional domains in different ways, though one aspect is common: the unified platform known as cloud computing. Corporate solutions, IoT systems, analytics, business intelligence, and numerous tools, solutions and systems use cloud computing as a global platform. The migrations to the cloud are increasing, causing it to face new challenges and complexities.

Impact of Perceived Influence, Virtual Interactivity on Consumer Purchase Intentions Through the Path of Brand Image and Brand Expected Value.

Many researchers are currently showing interest in researching consumers who are purchasing the products with the help of new tools, and new kinds of markets are emerging rapidly. M-commerce is a prevalent mode of marketing and is famous among young people of Pakistan. Current research is planned to check the status of consumer purchase intentions (PIs) using perceived influence, virtual interactivity, brand image, and brand expected value among customers who purchase their products with the help of m-commerce.

Enhanced Photocatalytic Degradation with Sustainable CaO Nanorods Doped with Ce and Cellulose Nanocrystals: In Silico Molecular Docking Studies.

This research work intends to evaluate the photoactivity of calcium oxide (CaO) nanorods (NRs) doped with cellulose nanocrystals (CNCs) and cerium (Ce). CNC-doped CaO and Ce/CNC codoped CaO were synthesized via the sol-gel technique. Structural, optical, morphological, physiochemical, phase constitution, and functional group evaluations were performed.

Enhanced Bactericidal Action of rGO-ZnO Hybrids Prepared by the One-Pot Co-precipitation Approach.

Metal-based antimicrobials have the potential to profile sustainable solutions to infection care and health. In this study, we report the synthesis of rGO-ZnO hybrid nanostructures by a simple co-precipitation approach with various mass ratios of GO, and their antimicrobial potential was assessed. The structural analysis confirms the presence of a hexagonal wurtzite structure with peak shifting in hybrid nanostructures and increases in crystallite size (11-24 nm).

Myricetin: targeting signaling networks in cancer and its implication in chemotherapy.

The gaps between the complex nature of cancer and therapeutics have been narrowed down due to extensive research in molecular oncology. Despite gathering massive insight into the mysteries of tumor heterogeneity and the molecular framework of tumor cells, therapy resistance and adverse side effects of current therapeutic remain the major challenge. This has shifted the attention towards therapeutics with less toxicity and high efficacy.

Role of Psychological Contracts in Enhancing Employee Creativity Through Knowledge Sharing: Do Boundary Conditions of Organization's Socialization and Work-Related Curiosity Matter?

COVID-19 has had a huge impact on workers and workplaces across the world while putting regular work practices into disarray. Apart from the obvious effects of COVID-19, the pandemic is anticipated to have a variety of social-psychological, health-related, and economic implications for individuals at work. Despite extensive research on psychological contracts and knowledge sharing, these domains of pedagogic endeavor have received relatively little attention in the context of employee creativity subjected to the boundary conditions of the organization's socialization and work-related curiosity.

Empirical Method for Thyroid Disease Classification Using a Machine Learning Approach.

There are many thyroid diseases affecting people all over the world. Many diseases affect the thyroid gland, like hypothyroidism, hyperthyroidism, and thyroid cancer. Thyroid inefficiency can cause severe symptoms in patients.