BackgroundStrategies to minimize the risk of transmission and acquisition of COVID-19 infection in patients with ESKD receiving in-center hemodialysis have been rapidly implemented across the globe. Despite these interventions, confirmed COVID-19 infection rates have been high in the United Kingdom. Prevalence of asymptomatic disease in an adult hemodialysis population has not been reported. Also, to our knowledge, the development of humoral response to SARS-CoV-2 has not been previously reported in this population. Although serologic testing does not provide information on the infectivity of patients, seroprevalence studies may enable investigation of exposure within dialysis units and hence, assessment of current screening strategies.MethodsTo investigate the seroprevalence of SARS-CoV-2 antibodies in a hemodialysis population, we used the Abbott IgG assay with the Architect system to test serum samples from 356 patients receiving in-center hemodialysis for SARS-CoV-2 antibodies.ResultsOf 356 patients, 121 had been symptomatic when screened before a dialysis session and received an RT-PCR test; 79 (22.2% of the total study population) tested positive for COVID-19. Serologic testing of all 356 patients found 129 (36.2%) who tested positive for SARS-CoV-2 antibodies. Only two patients with PCR-confirmed infection did not seroconvert. Of the 129 patients with SARS-CoV-2 antibodies, 52 (40.3%) had asymptomatic disease or undetected disease by PCR testing alone.ConclusionsWe found a high seroprevalence of SARS-CoV-2 antibodies in patients receiving in-center hemodialysis. Serologic evidence of previous infection in asymptomatic or PCR-negative patients suggests that current diagnostic screening strategies may be limited in their ability to detect acute infection.

Plant production today depends on the ability of agriculturists to transport and recycle minerals, particularly those minerals which are nutritionally important to animals and human beings, through various agriculture products. It is important to note that the attenuation of these mineral deposits by green plants, as well as their subsequent role in the production of organic compounds, is fundamental to almost all known forms of life. Selenium (Se) is among those trace mineral which are crucial for the maintenance of plant physiology. The significance, production, and biological effects of this element, as well as its application in sustainable development, are remaining an interesting topic of discussion. Moreover, there has been a huge rise in the potential applications of nanotechnology in the food and agriculture industries. Several studies have been conducted on the various biological activities of selenium nanoparticles (SeNPs) and their biosynthesis. There is plenty of research performed on the effects of Se in plant nutrition and physiology, but there is a lack of information about the effects of SeNPs in SeNPs toxicity, and other aspects of using SeNPs in agriculture. The current review is focused on recent information related to the effects and fate of SeNPs in agronomy. We also aimed attention at the primary sources and behavior of Se in different environments, such as soil, water, air, and plants. All the data provides an extremely fertile domain for future investigation and research.

Background and Aim: Mastitis has been identified as the most prevalent and economically imperative disease among dairy animals. Thus, understanding its common bacterial pathogens and risk factors is necessary to improve udder health at herd, region, or country level. However, scientific research on caprine mastitis, especially on Beetal breed, has remained to be insufficient in Pakistan. Therefore, this study aimed to evaluate the epidemiology and antibiogram assay of common mastitis-causing bacterial agents, that is, Staphylococcus, Streptococcus, and Escherichia coli, in dairy goats. Materials and Methods: In total, 500 Beetal goats, irrespective of age and those that were not treated with any kind of antimicrobial agents during the past 120 h, were screened using California Mastitis Test in Pattoki, Kasur District, whereas epidemiological factors were recorded. The milk samples of mastitic goats were then collected and processed using standard methods. Each sample was primarily cultured on nutrient agar. Using a specific medium, each bacterial colony was separated using several streak methods. Six antibiotic disks belonging to different antibiotic groups were used for antibiogram profiling of bacterial isolates. Chi-square test was used to assess the association of baseline characteristics and mastitis occurrence. Meanwhile, multivariable logistic regression (p<0.001) was utilized to determine the risk factors associated with positive and negative dichotomous outcome of mastitis. Results: The results revealed that the overall prevalence of goat mastitis was 309 (61.8%), in which 260 (52%) and 49 (9.8%) cases were positive for subclinical mastitis (SCM) and clinical mastitis (CM), respectively. Streptococcus and E. coli were found to be the predominant isolates causing SCM and CM, respectively (p<0.001). It was observed that amoxicillin+clavulanic acid was highly sensitive to isolates of Staphylococcus and Streptococcus and ceftiofur sodium to isolates of Streptococcus and E. coli, while enrofloxacin was found to be sensitive to isolates of Streptococcus and E. coli. Risk factors such as herd structure, deworming, vaccination, presence of ticks, use of teat dip and mineral supplements, feeding type, age, parity, housing, blood in the milk, milk leakage, milk taste, and milk yield were found to have the strongest association with mastitis occurrence, while ease of milking has moderate association. Conclusion: In the area examined, cases of SCM were found to be higher compared with that of CM, and ceftiofur sodium has been identified as the preferred treatment in both clinical and subclinical forms of caprine mastitis in Beetal goats. Risk factors for mastitis that was identified in this study can form the basis for the creation of an udder health control program specific for dairy goats. We hope our findings could raise awareness of the risk factors and treatment approaches for common mastitis-causing bacterial agents.

The fitness of animal has an enormous influence on its reproductive capability, nowadays feeding of microelements is practiced in many feed formulations because micro-nutrient possesses strong influence on animal's reproductive ability. The male generative zone produces spermatozoa which needs a little number of free radicals for the maturation as well as for smooth fertilization. Whereas the raised level of these free radicals disturbs the entire process of sperm formation and also lead to infertility. The Selenium is a micro nutrient which naturally possess some enzymes and selenoproteins which diminish manufacture of unnecessary free radicals by acting as an antioxidant. Subsequently, it protects male gamete from destruction triggered by oxidative stress. Selenium also assistance in maintenance of semen quality by declining construction of atypical spermatozoa. Additionally, some studies have revealed that it possesses striking influence on both gross and histological characteristics of male reproductive organ, feeding this mineral improved circumference, size, the mass of the testis and speed up sperm construction by means of having a solid effect on seminiferous tubules histology. Hence, selenium shortage can cause infertility and further reproductive syndromes.

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Multiuser detection is one of the receiver design technology for detection of the desired signal(s) from interference and noise. Conventional single user detector faced a problem of near-far effect. This effect is removed by using different multiuser detectors. These multiuser detectors are optimum Maximum Likelihood Detector, Parallel Interference cancellation scheme (PIC) and Successive Interference cancellation scheme (SIC). All these conventional techniques have a shortcoming of computational complexity besides they are not too much efficient. To overcome these shortcomings we have used Genetic Algorithm which is a search method used to generate useful solutions to optimization.The different approaches are used to generate the children chromosomes.The simulation result shows the comparison of considered approaches in form of form BER versus number of cycles and SNR.