Notes

Ordered MnV2O4 double-layer useless sub nanosheets confined simply by N-doped as well as level while anode for top functionality lithium-ion battery packs.
offered with a good early and late outcome. There is a need to have multi-institutional and multi-disciplinary collaboration along with work in basic sciences to better understand the effects of failed Fontan physiology with normal ventricular function.The coronavirus disease 2019 is a highly contagious viral infection caused by SARS-CoV-2 virus, member of coronaviridae family. It causes life threatening complications due to complexity and rapid onset course of the disease. Early identification of high-risk patients who require close monitoring and aggressive treatment remains challengeable till date. Novel biomarkers which help to identify high risk patients at the early stage is high priority. Objective of this review to find utility of P-SEP, sTREM-1 and suPAR for diagnosis, risk stratification and prognosis of SARS-CoV-2 infected cases. Soluble receptors like, P-SEP, sTREM-1 and suPAR have been involved in immune regulation in SARS-CoV-2 infection and elevate more in severe cases. A comprehensive research of databases like PubMed, EMBASE, CNKI and Web of Science was performed for relevant studies. A total of nine out of fifteen research literature in initial screening were included for this review. Interestingly all studies have reported high levels of P-SEP, sTREM-1 and suPAR in SARS-CoV-2 infected cases and the biomarkers positively correlated with severity of infection. This implies that P-SEP, sTREM-1 and suPAR can be implemented as surrogate marker in blood profile for early diagnosis, risk stratification and prognosis in SARS-CoV-2 for better management in Indian population at the current situation.A farm-level survey and a market survey were conducted in China to study the impact of the COVID-19 on the shellfish supply chain in the early stage of the pandemic in 2020. 114 farms of 36 cites participated in an online survey from mid-July to late August, and 23 markets in five cities were investigated from June to November. The series results are expected to provide an insight for the fisheries and aquaculture sector to mitigate the impact of the pandemic on participants in the shellfish supply chain and to improve of the ability of the government to respond to such events in the future. Shellfish farmers and sellers have experienced a sharp drop in profits, largely due to shrinking demand. Relying on local employees and suppliers, shellfish farming activities have rapidly resumed since the gradual reopening from February. Nevertheless, demand has been slow to recover due to public concern about contamination of seafood with the virus. Additionally, we analyzed the ability and attitude of farms of different size to cope with the pandemic and the plight of shellfish sellers, and discussed government supports for different size farms and improvements in seafood distribution channels.As part of an undergraduate Entomology module, field excursions were undertaken to a mixed livestock farm in central South Africa, during March-April 2015, 2016 and 2018-2020. The aim was for groups to determine and compare terrestrial arthropod biodiversity in three strata of three contrasting biotopes, with particular emphasis on insects. To determine the contributions such excursions make to documenting biodiversity of a non-target taxon, the spider (Arachnida Araneae) data generated by students was compared with the local species richness (LSR) for the area. The LSR for the farm Bankfontein included a total of 242 species, representing 40 families. Over the 5 years, student groups sampled a total of 158 spider species, representing 65.3% of the LSR. The number of species sampled per year ranged between 57 and 94 for undergraduate students (1-3 groups), and was 119 species for the final year of the study carried out by the author and two post-graduate students (2 groups), which could be attributed to collector experience and modification of the sorting process for beat sampling, particularly. This study emphasizes the importance of utilizing students as a valuable resource to generate biodiversity data, particularly where financial and human resources may be limited.In the context of super-diverse cities, scholars and policy makers are increasingly interested in the potential of volunteering to establish identification for newcomers and locals alike. In this paper, we address the question of how young volunteers in Rotterdam and Vienna negotiate belonging within their super-diverse surroundings. Our exploratory study builds on a cross-national research project in which we collected qualitative interview data from volunteering youth. We follow a weak-theory approach and conceptualise belonging as emotional, procedural, and relational. We trace identification processes of newcomers and locals in terms of belonging through volunteering in urban contexts of super-diversity. Our paper demonstrates that volunteering serves as a vehicle for feelings of belonging and inclusion for young volunteers, specifically addressing the urban super-diversity of Vienna and Rotterdam. Our research also indicates the partiality and temporality of volunteering as a source of belonging and the function of volunteering as a structure of inclusion, not necessarily enabling structural inclusion.Post-graduate teacher recruitment schemes are designed to fulfil ongoing teaching shortages. However, despite the emphasis of technology integration in educational contexts, little research has examined the knowledge, skills and attitudes post-graduate pre-service teachers bring to teaching from a technology perspective. This paper presents findings from the final phase of an explanatory case study exploring the development of post-graduate pre-service teachers' technology integration beliefs and practice during a teacher education program at an Australian university. Semi-structured interviews were conducted with 17 post-graduate pre-service teachers after two professional (field) experiences. A social cognitive lens was applied to understand how technology integration beliefs and practice developed during this time. Results showed occupation-specific technology experience provided this group with a diversity of technology expertise, confidence using technology, resilience to overcome technical issues, and self-regulatory traits to learn new technology tools. Contributing personal factors influencing beliefs and practice included age, professional background, technology skills and technology self-efficacy beliefs. Initial practice revealed a predilection to integrate technology to supplement teacher-directed pedagogy. The shift towards technology integration to support student-centred pedagogy was dependent upon modelling and mentoring provisions offered by both teacher-educators and teacher-mentors during professional (field) experience placements. Other extrinsic factors, such as hardware provisions, Information Technology infrastructure, and school culture, were also instrumental in the conceptualization and realization of technology pedagogy. Recommendations include the necessity for post-graduate teacher education programs to recognise the untapped technology expertise this group may bring to teaching, and practical suggestions to support the development of meaningful technology integration epistemologies.Policymakers need to start considering the impact smart connected toys (SCTs) have on children. Equipped with sensors, data processing capacities, and connectivity, SCTs targeting children increasingly penetrate pervasively personal environments. The network of SCTs forms the Internet of Toys (IoToys) and often increases children's engagement and playtime experience. Unfortunately, this young part of the population and, most of the time, their parents are often unaware of SCTs' far-reaching capacities and limitations. The capabilities and constraints of SCTs create severe side effects at the technical, individual, and societal level. These side effects are often unforeseeable and unexpected. They arise from the technology's use and the interconnected nature of the IoToys, without necessarily involving malevolence from their creators. Although existing regulations and new ethical guidelines for artificial intelligence provide remedies to address some of the side effects, policymakers did not develop these redress mechanisms having children and SCTs in mind. This article provides an analysis of the arising side effects of SCTs and contrasts them with current regulatory redress mechanisms. We thereby highlight misfits and needs for further policymaking efforts.The need to address the challenge of vagueness across several domains of applicability of ontology is gaining research attention. The presence of vagueness in knowledge represented with description logic impairs automating reasoning and inference making. The importance of reducing this vagueness in the formalization of medical knowledge representation is rising, considering the vulnerability of this domain to the expression of vague concepts or terms. This vagueness may be addressed from the perspective of ontology modeling language application such as ontology web language (OWL). Although several attempts have been made to tackle this problem in other disease prognoses such as diabetes and cardiovascular diseases, a similar effort is missing for breast cancer. Minimizing vagueness in breast cancer ontology is necessary to enhance automated reasoning and handle knowledge representation problems. This study proposes a framework for reducing vagueness in breast cancer ontology. The approach obtained breast cancer crisp ontology and applied fuzzy ontology elements based on the Fuzzy OWL2 model to formulate breast cancer fuzzy ontology. This was achieved by extending the elements of OWL2 (a more expressive version of OWL) with annotation properties to fuzzify the breast cancer crisp ontology. Results obtained showed a significant reduction of vagueness in the domain, yielding 0.38 for vagueness spread and 1.0 for vagueness explicitness. In addition, ontology metrics such as completeness, consistency, correctness and accuracy were also evaluated, and we obtained impressive performance. The implication of this result is the reduction of vagueness in breast cancer ontology, which provides increased computational reasoning support to applications using the ontology.Autism spectrum disorder (ASD) is a neurodevelopmental disorder defined as persistent difficulty in maturing the socialization process. Health professionals have used traditional methods in the therapies performed on patients with the aim of improving the expression of emotions by patients. check details However, they have not been sufficient to detect the different emotions expressed in the face of people according to different sensations. Therefore, different artificial intelligence techniques have been applied to improve the results obtained in these therapies. In this article, we propose the construction of an intelligent mirror to recognize five basic emotions angry, scared, sad, happy and neutral. This mirror uses convolutional neural networks to analyze the images that are captured by a camera and compare it with the one that the patient should perform, thus supporting the therapies performed by health professionals in children with ASD. The proposal presents the platform and computer architecture, as well as the evaluation by specialists under the technology acceptance model.
Read More: https://www.selleckchem.com/products/oseltamivir-acid.html