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Abstract Background Cervical cancer is the second most prevalent and the leading cause of cancer related deaths among Ethiopian women; and about three fourth are diagnosed at advanced stages. Cervical cancer can affect the health-related quality of life (HRQOL) in multiple ways. The main aim of this study was to describe the HRQOL of cervical cancer patients and the predictive factors using validated tools. Methods Institution based cross-sectional study was conducted among 264 cervical cancer patients using the validated Amharic version of European Organization for Research and Treatment of Cancer (EORTC) modules; QLQ-C30 and QLQ CX24. Descriptive statistics were used to summarize the raw data. One way ANOVA was used to determine the significance of mean differences between the dependent and independent variables. Binary and multivariable regression analysis were used to measure the association between Global Health Status and independent factors. The level of significance was set at p-value

Abstract The main objective of the review was to investigate the ferromagnetism of diluted magnetic semiconductors made of Mn‐doped GaAs. Manganese‐doped gallium arsenide has recently become an important field of research because of its potential applications in the fields of spintronics and magnetic devices. The magnetic moment caused by adding manganese to the GaAs crystal structure causes a low‐temperature ferromagnetic behavior. The main factor that affects the ferromagnetic properties of Mn‐doped gallium arsenic is manganese concentration. Understanding the relationship between Mn concentration and magnetic properties is important for material optimization in specific applications. It was found that Mn‐doped GaAs exhibit paramagnetic behavior below a specific critical concentration. However, the substance is transformed into a ferromagnetic state over the maximum concentration. The Curie temperature is an important additional factor influencing the ferromagnetic properties of Mn‐doped GaAs. The temperature at which a material ceases to exhibit ferromagnetic behavior is known as the Curie temperature. The Curie temperature of a material depends on its Mn concentration, thin film thickness, and degree of disturbance. A reduction in magnetic resistance increases the concentration of Mn‐treated gallium arsenic and increases its rate as it reaches its maximum value. High Curie temperatures are the result of stronger magnetic interactions resulting from higher manganese concentrations. The specific heat capacity of Mn‐doped gallium arsenide is influenced by its magnetic and structural contribution.

Currently, research on iron-based superconductors is so interesting because they show uniformity of magnetic and superconducting phases and have variety layered crystal structures with wide applications. The main objective of this article is to focus on the computational study of the interplay of antiferromagnetism and superconductivity using a two-band model of Hamiltonian from electronic structure and double-time temperature-dependent Green’s function formalism for Sr1−xNaxFe2As2 superconductor. From the model Hamiltonian and Green’s function formalism, we found mathematical expressions for the superconducting (Sc) order parameter, the antiferromagnetic (AFM) order parameter, the AFM and Sc transition temperatures. Using these mathematical statements, we plotted the phase illustrations of order parameters versus temperature, transition temperatures versus AFM order parameter using Matplotlib in Python. From these graphs, we have illustrated the interplay of antiferromagnetism and superconductivity, pure superconducting phase, pure antiferromagnetism phase and paramagnetic phase for the Sr1−xNaxFe2As2 superconductor.

Foodborne disease outbreaks due to bacterial pathogens and their toxins have become a serious concern for global public health and security. Finding novel antibacterial agents with unique mechanisms of action against the current spoilage and foodborne bacterial pathogens is a central strategy to overcome antibiotic resistance. This study examined the antibacterial activities and mechanisms of action of inorganic nanoparticles (NPs) against foodborne bacterial pathogens. The articles written in English were recovered from registers and databases (PubMed, ScienceDirect, Web of Science, Google Scholar, and Directory of Open Access Journals) and other sources (websites, organizations, and citation searching). “Nanoparticles,” “Inorganic Nanoparticles,” “Metal Nanoparticles,” “Metal–Oxide Nanoparticles,” “Antimicrobial Activity,” “Antibacterial Activity,” “Foodborne Bacterial Pathogens,” “Mechanisms of Action,” and “Foodborne Diseases” were the search terms used to retrieve the articles. The PRISMA-2020 checklist was applied for the article search strategy, article selection, data extraction, and result reporting for the review process. A total of 27 original research articles were included from a total of 3,575 articles obtained from the different search strategies. All studies demonstrated the antibacterial effectiveness of inorganic NPs and highlighted their different mechanisms of action against foodborne bacterial pathogens. In the present study, small-sized, spherical-shaped, engineered, capped, low-dissolution with water, high-concentration NPs, and in Gram-negative bacterial types had high antibacterial activity as compared to their counterparts. Cell wall interaction and membrane penetration, reactive oxygen species production, DNA damage, and protein synthesis inhibition were some of the generalized mechanisms recognized in the current study. Therefore, this study recommends the proper use of nontoxic inorganic nanoparticle products for food processing industries to ensure the quality and safety of food while minimizing antibiotic resistance among foodborne bacterial pathogens.