Importance of Adequate qPCR Controls in Infection Control

Respiratory screening assays lacking Sample Adequacy Controls (SAC) may result in inadequate sample quality and thus false negative results. The non-adequate samples might represent a significant proportion of the total performed tests, thus resulting in sub-optimal infection control measures with implications that may be critical during pandemic times. The quantitative sample adequacy threshold can be established empirically, measuring the change in the frequency of positive results, as a function of the numerical value of “sample adequacy”. Establishing a quantitative threshold for SAC requires a big number/volume of tests to be analyzed in order to have a statistically valid result. Herein, we are offering for the first time clear clinical evidence that a subset of results, which did not pass minimal sample adequacy criteria, have a significantly lower frequency of positivity compared with the “adequate” samples. Flagging these results and/or re-sampling them is a mitigation strategy, which can dramatically improve infection control measures.

"The Living Death": The Repatriation Experience of New Zealand's Disabled Great War Servicemen

<p>The New Zealand government committed over 100,000 men to active service during the Great War of which around 40,000 returned injured. Due to the severity of their disabilities many wounded servicemen required ongoing medical care and were unable to return to their former employment. New Zealand introduced a variety of repatriation initiatives during the 1920s and 1930s to aid the Great War’s struggling wounded soldiers and restore them to their traditional masculine role as independent wage-earners and useful citizens. ‘The Living Death’ uses a variety of qualitative sources including state-based documents, newspapers, journals and oral history as well as a quantitative sample from military personnel files. Using these sources this thesis explores the medical treatment, pensioning and employment assistance offered by state and society to disabled soldiers in order to elucidate how New Zealand’s wounded ex-servicemen experienced and negotiated the cultural issues of disability, masculinity and citizenship in the post-war period. I argue that these men were identified as a class apart from other disabled persons in the immediate aftermath of the war, but that this identity began to fade once the economic conditions worsened, war memory faded and as some wounded ex-servicemen failed to complete a successful transition into civilian life.</p>

"The Living Death": The Repatriation Experience of New Zealand's Disabled Great War Servicemen

<p>The New Zealand government committed over 100,000 men to active service during the Great War of which around 40,000 returned injured. Due to the severity of their disabilities many wounded servicemen required ongoing medical care and were unable to return to their former employment. New Zealand introduced a variety of repatriation initiatives during the 1920s and 1930s to aid the Great War’s struggling wounded soldiers and restore them to their traditional masculine role as independent wage-earners and useful citizens. ‘The Living Death’ uses a variety of qualitative sources including state-based documents, newspapers, journals and oral history as well as a quantitative sample from military personnel files. Using these sources this thesis explores the medical treatment, pensioning and employment assistance offered by state and society to disabled soldiers in order to elucidate how New Zealand’s wounded ex-servicemen experienced and negotiated the cultural issues of disability, masculinity and citizenship in the post-war period. I argue that these men were identified as a class apart from other disabled persons in the immediate aftermath of the war, but that this identity began to fade once the economic conditions worsened, war memory faded and as some wounded ex-servicemen failed to complete a successful transition into civilian life.</p>

COVID-19’s Impact on Substance Use and Well-Being of Younger Adult Cannabis Users in California: A Mixed Methods Inquiry

Few qualitative studies have examined the impact of COVID-19 on cannabis and alcohol use, and overall well-being among cannabis users. Cannabis users (aged 26-32) were surveyed quantitatively (n=158) and interviewed qualitatively (n=29) in April 2020–May 2021 in Los Angeles. 63.3% of the quantitative sample reported increasing use of either cannabis (29.1%) or alcohol (15.2%) or both (19.0%) following the COVID-19 outbreak. Qualitative data revealed that increases in cannabis and alcohol use were largely attributed to changes in employment and staying at home resulting in fewer impediments and boredom. Themes of loneliness and utilization of various coping strategies were more pronounced among those who increased cannabis and/or alcohol use. For some, increases in cannabis/alcohol use were temporary until participants adjusted to “a new normal” or embraced more adaptive coping strategies. Results suggest monitoring cannabis/alcohol use trends and identifying coping strategies to reduce the pandemic’s impact on substance use and mental health.

The Challenges of Developing Biosensors for Clinical Assessment: A Review

Emerging research in biosensors has attracted much attention worldwide, particularly in response to the recent pandemic outbreak of coronavirus disease 2019 (COVID-19). Nevertheless, initiating research in biosensing applied to the diagnosis of diseases is still challenging for researchers, be it in the preferences of biosensor platforms, selection of biomarkers, detection strategies, or other aspects (e.g., cutoff values) to fulfill the clinical purpose. There are two sides to the development of a diagnostic tool: the biosensor development side and the clinical side. From the development side, the research engineers seek the typical characteristics of a biosensor: sensitivity, selectivity, linearity, stability, and reproducibility. On the other side are the physicians that expect a diagnostic tool that provides fast acquisition of patient information to obtain an early diagnosis or an efficient patient stratification, which consequently allows for making assertive and efficient clinical decisions. The development of diagnostic devices always involves assay developer researchers working as pivots to bridge both sides whose role is to find detection strategies suitable to the clinical needs by understanding (1) the intended use of the technology and its basic principle and (2) the preferable type of test: qualitative or quantitative, sample matrix challenges, biomarker(s) threshold (cutoff value), and if the system requires a mono- or multiplex assay format. This review highlights the challenges for the development of biosensors for clinical assessment and its broad application in multidisciplinary fields. This review paper highlights the following biosensor technologies: magnetoresistive (MR)-based, transistor-based, quartz crystal microbalance (QCM), and optical-based biosensors. Its working mechanisms are discussed with their pros and cons. The article also gives an overview of the most critical parameters that are optimized by developing a diagnostic tool.

The challenges of developing biosensors for clinical assessment: a review

Emerging research in biosensors has attracted much attention worldwide, particularly in re-sponse to the recent pandemic outbreak of coronavirus disease 2019 (COVID-19). Neverthe-less, initiating research in biosensing applied to the diagnostic of diseases is still challenging for researchers, either from the preferences of biosensor platforms, selection of biomarkers, detection strategies, and other aspects (e.g., cutoff values) to fulfill the clinical purpose. There are two sides to the development of a diagnostic tool: the biosensor development side and the clinical side. From the development side, the research engineers seek the typical characteristics of a biosensor: sensitivity, selectivity, linearity, stability, and reproducibility. On the other side are the physicians that expect a diagnostic tool that provides fast acquisition of patient in-formation to obtain an early diagnostic or an efficient patient stratification, which conse-quently allows making assertive and efficient clinical decisions. The development of diagnostic devices always involves assay developer researchers, working as pivots to bridge both sides, which role is to find detection strategies suitable to the clinical needs. First, by understanding the intended use of the technology and its basic principle; second, the preferable type of test: qualitative or quantitative, sample matrix challenges, biomarker(s) threshold (cutoff value), and if the system requires a mono or multiplex assay format. This review highlights the challenges for the development of biosensors for clinical assessment and its broad application in multidisciplinary fields. This review paper highlights the following biosensor technologies: magnetoresistive (MR)-based, transistor-based, quartz crystal microbalance (QCM), and op-tical-based biosensors. Its working mechanisms are discussed with their pros and cons. The article also gives an overview of the most critical parameters that are optimized by developing a diagnostic tool.

The effects of video gaming on academic effectiveness of higher education students during emergency remote teaching

The pandemic caused a new digital scheme of work to be implemented in higher educational institutes to avoid physical contact, which is referred to as emergency remote teaching in the literature (Hodges, Moore, Lockee, Trust, & Bond, 2020). The inevitable consequence of emergency remote teaching (later on ERT) was that the students’ inter-and extra organisational relationships decreased significantly (Pusztai & Győri, 2021). Based on the results of previous studies, we know that the lack of student relationships is strongly related to ineffectiveness (Astin, 1993; Pusztai, 2015; Tinto, 1975), which was also identified during the period of ERT (Pusztai & Győri, 2021). In the current study, firstly, we hypothesised that the students’ social interactions, which were accomplished by video gaming, could compensate for isolation (Pisan, 2007) and improve their effectiveness. Secondly, we hypothesised that video gaming might prove ineffective due to stressful and uncertain periods as well as avoidance of activity. In our study, we applied database analysis (Learning Alone database, N = 677) and half-structured interviews (N = 19). In the quantitative sample, we identified that increased gaming time (compared to the time spent before the pandemic) was related to persistence reduction, whereas similar results were obtained with the reduced playing time. In addition, the interview participants reinforced that they used video gaming as a tool to maintain their relationships during ERT, and they tended to do so in their relationships with other students as well. Thus it can be said that video gaming is an extracurricular activity that could affect academic effectiveness positively and negatively at the same time.

TaxonWorks: Character state matrices and identification tools

TaxonWorks is an integrated web-based application for practicing taxonomists and biodiversity specialists. It is focused on promoting collaboration between researchers and developers. TaxonWorks has a modular structure that enables various components of the application to target specific needs and requirements of different groups of users. Specific areas of interest may include nomenclature-related tasks (Yoder and Dmitriev 2021) designed to help assemble and validate scientific name checklists of a target group of organisms; and collection management tasks, including interfaces to create, filter, and edit collecting events, collection objects, and loans. This presentation focuses on matrix-related tools integrated into TaxonWorks. A matrix, which could either be used for phylogenetic analysis or to build an identification key, is structured as a table where columns represent numerous characters that could be used to describe a set of entities, taxa or specimens (presented as rows of the table). Each cell of the table may contain observations for specific character/entity combinations. TaxonWorks does not generate a table for each a particular matrix—all observations are stored as graphs. This structure allows building of a matrix of an unlimited size as well as reuse of individual observations in multiple matrices. For matrix columns, TaxonWorks supports a variety of different kinds of characters or descriptors: qualitative, presence/absence, quantitative, sample, gene, free text, and media. Each character may have specific properties, for example a qualitative descriptor may have numerous characters states, and a quantitative descriptor may have a measurement unit defined. For an entity in a matrix row, TaxonWorks supports either collection objects (specimens) or taxa as Operational Taxonomic Units (OTU). OTUs could either be linked to nomenclature or be stand alone entities (e.g., representing undescribed species). The matrix, once built, could serve several purposes. A matrix based on qualitative and quantitative characters could be used to build an interactive key (Fig. 1), construct standardized natural language descriptions for each entity, and determine a diagnosis (a minimal set of characters that separate one entity from all others). It could also be exported and used for phylogenetic analysis or to build an interactive key in an external application. TaxonWorks supports export files in several formats, including Nexus, TNT, NeXML. Application Programming Interfaces (API) are also available. A matrix based on media descriptors could be used as a pictorial identification tool (Fig. 2).

Pengaruh Citra Merek dan Electronic Word of Mouth Terhadap Keputusan Penggunaan Pada Marketplace Lazada di Kabupaten Buleleng

This research aims to examine the effect of brand image and electronic word of mouth on purchasing decisions at Lazada marketplace in Buleleng Regency, both simultaneously and partially. The framework used in this researchs is causal quantitative. Sample is determined by using purposive sampling technique. Data were collected by using a questionnaire which will be tested for its realiability and validity, and will be analyzed by multiple linear regression analysis. The results of this research indicate that (1) brand image and electronic word of mouth have a simultaneous effect on purchasing decisions, (2) brand image has an effect on purchasing decisions, (3) electronic word of mouth has an effect on purchasing decisions at Lazada marketplace in Buleleng Regency.

A Mixed Analysis on the Study Habits of Middle School Students

This study investigated middle school students&rsquo; thoughts and attitudes towards study habits. The study employed an explanatory sequential design, which is a mixed method. The research consisted of two stages: quantitative and qualitative. The quantitative sample consisted of 205 students (116 girls and 89 boys) of a public middle school in the center of a city in the Central Anatolia Region in the 2019-2020 academic year. For the qualitative stage, fifteen students (seven girls and eight boys) were recruited from the quantitative sample using maximum variation sampling. The quantitative data were collected using the Questionnaire for Study Habits developed by Yenilmez and &Ouml;zbey. Participants were interviewed using a semi-structured interview form consisting of open-ended questions. The quantitative data were analyzed using the Statistical Package for Social Sciences (SPSS v. 24.0). The results showed that participants had a moderate level of study habits. Gender and grade level were not correlated with study habits. Participants with appropriate study space had better study habits. Participants associated study habits with success in the future. The results showed that the Internet, tablet, and TV had adverse impacts on study habits and positive or negative effects on parents and teachers.