A TQM-Based Systems Development Process

Similar to manufacturing, a critical requirement to achieving high quality in the production of information systems (IS) is the ability to deploy the customers\u27 desires throughout the systems development process(SDP). The MIS literature has long recognized the importance of user involvement in the SDP (Davis, 1989; Davis, Bagozi, and Warshaw, 1989). The major objective of user involvement is to develop high quality systems with which users are comfortable and satisfied. Thespecification of requirements and the subsequent conversion of these requirements into a useful system is often a complex process. It is imperative to be able to capture user requirements accurately and in a fashion that is conducive to their transfer to a development methodology. This can result in detailed design specifications that reflect the user quality concerns and can lead to efficient and effective implementation. It is often assumed that the existing systems analysis, design, and implementation methodologies allow developers to document and keep track of the user requirements thus enabling development of an end product with which users are satisfied. Situations where users are dissatisfied with a system are nevertheless not uncommon. This dissatisfaction is the result of the users\u27 perceptions of quality not being met. Careful attention to details and user involvement in the development process increase the potential for, but do not guarantee, a high-quality system. It is important to realize thatthe traditional systems development methodologies do not explicitly document user quality attributes. They also make no provisions for ensuring that those quality characteristics are properly and systematically considered throughout the various stages of the development process. It is possible that some user requirements such as ease of use, maintenance, and security are not captured in data and process modeling. It may also be the case that quality features related to hardware or support services and other user requirements are either not explicitly considered or they vanish in the stepwise refinement process, which typically emphasizes software. This paper highlights limitations of the traditional systems analysis and design methods as they relate to user perceptions and measures of quality, and proposes a method of integrating quality function deployment into the SD

Using automation to produce a ‘living map’ of the COVID-19 research literature

The COVID-19 pandemic has disrupted life worldwide and presented unique challenges in the health evidencesynthesis space. The urgent nature of the pandemic required extreme rapidity for keeping track of research, andthis presented a unique opportunity for long-proposed automation systems to be deployed and evaluated. Wecompared the use of novel automation technologies with conventional manual screening; and Microsoft AcademicGraph (MAG) with the MEDLINE and Embase databases locating the emerging research evidence. We foundthat a new workflow involving machine learning to identify relevant research in MAG achieved a much higherrecall with lower manual effort than using conventional approaches

Pornography use and sexting amongst children and young people : a systematic overview of reviews

BACKGROUND: Young people's use of pornography and participation in sexting are commonly viewed as harmful behaviours. This paper reports findings from a 'review of reviews', which aimed to systematically identify and synthesise the evidence on pornography and sexting amongst young people. Here, we focus specifically on the evidence relating to young people's use of pornography; involvement in sexting; and their beliefs, attitudes, behaviours and wellbeing to better understand potential harms and benefits, and identify where future research is required. METHODS: We searched five health and social science databases; searches for grey literature were also performed. Review quality was assessed and findings synthesised narratively. RESULTS: Eleven reviews of quantitative and/or qualitative studies were included. A relationship was identified between pornography use and more permissive sexual attitudes. An association between pornography use and stronger gender-stereotypical sexual beliefs was also reported, but not consistently. Similarly, inconsistent evidence of an association between pornography use and sexting and sexual behaviour was identified. Pornography use has been associated with various forms of sexual violence, aggression and harassment, but the relationship appears complex. Girls, in particular, may experience coercion and pressure to engage in sexting and suffer more negative consequences than boys if sexts become public. Positive aspects to sexting were reported, particularly in relation to young people's personal relationships. CONCLUSIONS: We identified evidence from reviews of varying quality that linked pornography use and sexting amongst young people to specific beliefs, attitudes and behaviours. However, evidence was often inconsistent and mostly derived from observational studies using a cross-sectional design, which precludes establishing any causal relationship. Other methodological limitations and evidence gaps were identified. More rigorous quantitative studies and greater use of qualitative methods are required

Cost-effectiveness of Microsoft Academic Graph with machine learning for automated study identification in a living map of coronavirus disease 2019 (COVID-19) research

BACKGROUND: Conventionally, searching for eligible articles to include in systematic reviews and maps of research has relied primarily on information specialists conducting Boolean searches of multiple databases and manually processing the results, including deduplication between these multiple sources. Searching one, comprehensive source, rather than multiple databases, could save time and resources. Microsoft Academic Graph (MAG) is potentially such a source, containing a network graph structure which provides metadata that can be exploited in machine learning processes. Research is needed to establish the relative advantage of using MAG as a single source, compared with conventional searches of multiple databases. This study sought to establish whether: (a) MAG is sufficiently comprehensive to maintain our living map of coronavirus disease 2019 (COVID-19) research; and (b) eligible records can be identified with an acceptably high level of specificity. METHODS: We conducted a pragmatic, eight-arm cost-effectiveness analysis (simulation study) to assess the costs, recall and precision of our semi-automated MAG-enabled workflow versus conventional searches of MEDLINE and Embase (with and without machine learning classifiers, active learning and/or fixed screening targets) for maintaining a living map of COVID-19 research. Resource use data (time use) were collected from information specialists and other researchers involved in map production. RESULTS: MAG-enabled workflows dominated MEDLINE-Embase workflows in both the base case and sensitivity analyses. At one month (base case analysis) our MAG-enabled workflow with machine learning, active learning and fixed screening targets identified n=469 more new, eligible articles for inclusion in our living map – and cost £3,179 GBP ($5,691 AUD) less – than conventional MEDLINE-Embase searches without any automation or fixed screening targets. CONCLUSIONS: MAG-enabled continuous surveillance workflows have potential to revolutionise study identification methods for living maps, specialised registers, databases of research studies and/or collections of systematic reviews, by increasing their recall and coverage, whilst reducing production costs

Approximation algorithms and hardness results for the joint replenishment Problepm with constant demands

19th Annual European Symposium, Saarbrücken, Germany, September 5-9, 2011. ProceedingsIn the Joint Replenishment Problem (JRP), the goal is to coordinate the replenishments of a collection of goods over time so that continuous demands are satisfied with minimum overall ordering and holding costs. We consider the case when demand rates are constant. Our main contribution is the first hardness result for any variant of JRP with constant demands. When replenishments per commodity are required to be periodic and the time horizon is infinite (which corresponds to the so-called general integer model with correction factor), we show that finding an optimal replenishment policy is at least as hard as integer factorization. This result provides the first theoretical evidence that the JRP with constant demands may have no polynomial-time algorithm and that relaxations and heuristics are called for. We then show that a simple modification of an algorithm by Wildeman et al. (1997) for the JRP gives a fully polynomial-time approximation scheme for the general integer model (without correction factor). We also extend their algorithm to the finite horizon case, achieving an approximation guarantee asymptotically equal to √9/8

Effect of dehydration on the inactivation of Listeria monocytogenes and Salmonella enterica on enoki and wood ear mushrooms

Foodborne illness outbreaks in the U.S. associated with consumption of both fresh and dried specialty mushrooms have recently occurred. Dried wood ear mushrooms were implicated in a salmonellosis outbreak in 2020, while fresh enoki mushrooms were associated with two listeriosis outbreaks in 2020 and 2023. These specialty mushrooms are commercially available in both their fresh and dried states. Due to the short shelf life of mushrooms, dehydration is a common method used in both industry and by consumers to extend the shelf life and preserve quality. Therefore, the aim of this study was to evaluate the use of dehydration on the inactivation kinetics of both Listeria monocytogenes and Salmonella enterica on enoki and wood ear mushrooms. Fresh mushrooms were inoculated with four strain cocktails of either L. monocytogenes or S. enterica and dried at ambient conditions for 10 min. Following drying of the inoculum, mushrooms were placed into food dehydrators preheated to 70, 80, or 90°C and treated for up to 24 h. At treatment intervals, mushrooms were removed from the dehydrators for pathogen enumeration. Inactivation kinetics for both pathogens were modeled using the Weibull, log-linear with tail, and log-linear with shoulder models. Pathogen reductions of >4 log CFU/g were achieved on both enoki and wood ear mushrooms during dehydration at 90°C after only 2–4 h. At 70 and 80°C, log reductions of >4 log CFU/g were observed on wood ear mushrooms after 4–8 h. On enoki mushrooms, a tailing effect was observed with residual populations (>2 log CFU/g) of L. monocytogenes and S. enterica remaining even after 24 h of treatment at both 70 and 80°C. This study emphasizes the need for an individualized dehydration strategy for each mushroom type to ensure the effectiveness of dehydration as a process to reduce pathogen populations. Results of this study will aid in informing proper time and temperature combinations for dehydration of specialty mushrooms to ensure product safety

Epigenetic gestational age acceleration:A prospective cohort study investigating associations with familial, sociodemographic and birth characteristics

Abstract Background Gestational age at delivery is associated with health and social outcomes. Recently, cord blood DNA methylation data has been used to predict gestational age. The discrepancy between gestational age predicted from DNA methylation and determined by ultrasound or last menstrual period is known as gestational age acceleration. This study investigated associations of sex, socioeconomic status, parental behaviours and characteristics and birth outcomes with gestational age acceleration. Results Using data from the Avon Longitudinal Study of Parents and Children (n = 863), we found that pre-pregnancy maternal overweight and obesity were associated with greater gestational age acceleration (mean difference = 1.6 days, 95% CI 0.7 to 2.6, and 2.9 days, 95% CI 1.3 to 4.4, respectively, compared with a body mass index < 25 kg/m2, p < .001). There was evidence of an association between male sex and greater gestational age acceleration. Greater gestational age acceleration was associated with higher birthweight, birth length and head circumference of the child (mean differences per week higher gestational age acceleration: birthweight 0.1 kg, 95% CI 0.1 to 0.2, p < .001; birth length 0.4 cm, 95% CI 0.2 to 0.7, p < .001; head circumference 0.2 cm, 95% CI 0.1 to − 0.4, p < .001). There was evidence of an association between gestational age acceleration and mode of delivery (assisted versus unassisted delivery, odds ratio = 0.9 per week higher gestational age acceleration, 95% CI 0.7, 1.3 (p = .05); caesarean section versus unassisted delivery, odds ratio = 0.6, 95% CI 0.4 to 0.9 per week higher gestational age acceleration (p = .05)). There was no evidence of association for other parental and perinatal characteristics. Conclusions The associations of higher maternal body mass index and larger birth size with greater gestational age acceleration may imply that maternal overweight and obesity is associated with more rapid development of the fetus in utero. The implications of gestational age acceleration for postnatal health warrant further investigation