Quality Function Deployment Method and Its Application on Wearable Technology Product Development

The purpose of this thesis was to investigate consumers and product developer’s expectations of wearable technology products in the context of the Quality Function Deployment (QFD) framework. The specific objectives were to: 1) Explore the quality features that consumers consider most important when purchasing wearable technology product. 2) Explore the technical features product developers consider most important in the development of wearable technology. 3) Identify the technical features that wearable technology product developers need to focus on to meet the customer requirements. The Qualtrix online survey system was used to collect demographic, quantitative and essay length written responses from participants. Three hundred seventy eight men and women who were either consumers of wearable technology or professionals involved in its design and manufacture participated in this research. Data were analyzed with Statistical Analysis System (SAS) Enterprise 6.1. Open ended questions were analyzed for content and coded on an Excel spreadsheet using the thematic method. Results indicate consumers considered the most important feature of wearable technology to be Product Safety whereas professionals involved in its design and manufacture regarded Materials Selection as the most important aspect. This study provides valuable information for both industry and academia and identifies areas that must be addressed by manufacturers of wearable technology to meet consumer’s demand for product features

Quality Function Deployment Method and Its Application on Wearable Technology Product Development

Keywords: QFD, wearable technology, consumer, product develope

Species-specific identification of adulteration in cooked mutton Rista (a Kashmiri Wazwan cuisine product) with beef and buffalo meat through multiplex polymerase chain reaction

Abstract Aim: Meat adulteration is a serious problem in the meat industry and needs to be tackled to ensure the authenticity of meat products and protect the consumers from being the victims. In view of such likely problem in indigenous meat products of Kashmiri cuisine (Wazwan), the present work was performed to study the detection of beef and buffalo meat in cooked mutton Rista by mitochondrial DNA (mtDNA) based multiplex polymerase chain reaction (PCR) method under laboratory conditions. Materials and Methods: Three experimental trials were conducted wherein the products were prepared from pure mutton, beef and buffalo meat, and their admixtures in the ratios of 60:20:20, 80:10:10, 90:05:05 and 98:01:01, respectively. Results: The primers used in the study amplified the cyt b gene fragments of sizes 124 bp, 472 bp and 585 bp for buffalo, cattle and sheep, respectively. It was possible to detect cattle and buffalo meat at the level of 1% in the mixed meat cooked Rista. The multiplex PCR successfully amplified cyt b gene fragments of mtDNA of the target species and thus produced characteristic band pattern for each species. The band intensities of cattle and buffalo in the mixed meat Rista progressively decreased corresponding to their decreasing level from 20% to 1%. Processing, cooking (moist heating) and non-meat formulation ingredients had no effect on detection of meat species adulteration. Conclusion: The multiplex PCR procedure standardized and developed in this study is simple, efficient, sensitive, reliable and highly specific for detecting falsification of cooked mutton product with beef and buffalo meat up to 1% level

Prevalence of ultrasonography proved polycystic ovaries in North Indian women with type 2 diabetes mellitus

BACKGROUND: Polycystic ovaries (PCO) and their clinical expression (the polycystic ovary syndrome [PCOS]) as well as type 2 diabetes mellitus (T2DM) are common medical conditions linked through insulin resistance. We studied the prevalence of PCO and PCOS in women with diet and/or oral hypoglycemic treated T2DM and non-diabetic control women. DESIGN: Prospective study. METHODS: One hundred and five reproductive age group women with diet and /or oral hypoglycemic treated T2DM were the subjects of the study. Sixty age-matched non-diabetic women served as controls. Transabdominal ultrasonographic assessment of the ovaries was used to diagnose PCO. Clinical, biochemical and hormonal parameters were also noted. RESULTS: Ultrasonographic prevalence of PCO was higher in women with diabetes than in non-diabetic subjects (61.0% vs. 36.7%, P < 0.003) whereas that of PCOS was 37.1% in diabetic subjects and 25% in non-diabetic controls (P > 0.1). Diabetic women with PCO had diabetes of significantly longer duration than those without PCO (4.19±2.0 versus 2.9±1.6 yrs; p < 0.05). Among both diabetic and non-diabetic women, those with PCO had significantly higher plasma LH, LH/FSH ratio, total testosterone and androstenedione levels. CONCLUSION: This study demonstrates a higher prevalence of PCO in women with T2DM as compared to non-diabetic subjects

Factors associated with HIV infection among children in Larkana District, Pakistan: a matched case-control study.

BACKGROUND: In April, 2019, an HIV outbreak predominantly affecting children occurred in Larkana District, Sindh, Pakistan. By December, 2019, 881 (4·0%) of 21 962 children screened for HIV had tested positive. We aimed to assess factors associated with HIV infection in this outbreak. METHODS: In this individually matched case-control study, we sampled 406 cases (individuals aged <16 years who had registered for paediatric HIV care at the HIV Treatment Centre at Shaikh Zayed Children's Hospital in Larkana City, Pakistan) and 406 controls (individuals without HIV matched by age, sex, and neighbourhood residence, recruited through doorknocking at houses adjacent to case participants). An interviewer-administered questionnaire was used to collect data on possible risk factors for HIV acquisition and a blood sample was collected from all participants for hepatitis B and hepatitis C serology. Mothers of all participants underwent HIV testing. Odds ratios were estimated using conditional logistic regression to assess factors associated with HIV infection. FINDINGS: 406 case-control pairs were recruited between July 3 and Dec 26, 2019. Five pairs were excluded (three pairs had an age mismatch and two pairs were duplicate cases) and 401 were analysed. The prevalence of hepatitis B surface antigen was 18·2% (95% CI 14·5-22·3) among cases and 5·2% (3·3-7·9) among controls, and the prevalence of hepatitis C antibodies was 6·5% (95% CI 4·3-9·4) among cases and 1·0% (0·3-2·5) among controls. 28 (7%) of 397 mothers of cases for whom we had data, and no mothers of 394 controls, were HIV positive. In the 6 months before recruitment, 226 (56%) of 401 cases and 32 (8%) of 401 controls reported having more than ten injections, and 291 (73%) cases and 78 (19%) controls had received an intravenous infusion. At least one blood transfusion was reported in 56 (14%) cases and three (1%) controls in the past 2 years. HIV infection was associated with a history of more injections and infusions (adjusted odds ratio 1·63; 95% CI 1·30-2·04, p<0·0001), blood transfusion (336·75; 23·69-4787·01, p<0·0001), surgery (399·75, 13·99-11 419·39, p=0·0005), the child's mother being HIV positive or having died (3·13, 1·20-8·20, p=0·020), and increased frequency of private clinic (p<0·0001) and government hospital visits (p<0·0001), adjusting for confounders. INTERPRETATION: The predominant mode of HIV transmission in this outbreak was parenteral, probably due to unsafe injection practices and poor blood safety practices. General practitioners across Pakistan need training and systems support in reducing injection use, and in providing safe injections and transfusions only when necessary. FUNDING: Department of Pediatrics and Child Health, the Aga Khan University, Karachi, Pakistan

Mapping local patterns of childhood overweight and wasting in low- and middle-income countries between 2000 and 2017

A double burden of malnutrition occurs when individuals, household members or communities experience both undernutrition and overweight. Here, we show geospatial estimates of overweight and wasting prevalence among children under 5 years of age in 105 low- and middle-income countries (LMICs) from 2000 to 2017 and aggregate these to policy-relevant administrative units. Wasting decreased overall across LMICs between 2000 and 2017, from 8.4% (62.3 (55.1–70.8) million) to 6.4% (58.3 (47.6–70.7) million), but is predicted to remain above the World Health Organization’s Global Nutrition Target of <5% in over half of LMICs by 2025. Prevalence of overweight increased from 5.2% (30 (22.8–38.5) million) in 2000 to 6.0% (55.5 (44.8–67.9) million) children aged under 5 years in 2017. Areas most affected by double burden of malnutrition were located in Indonesia, Thailand, southeastern China, Botswana, Cameroon and central Nigeria. Our estimates provide a new perspective to researchers, policy makers and public health agencies in their efforts to address this global childhood syndemic

Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

BACKGROUND Regular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations. METHODS The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 cause-of-death analysis estimated mortality and years of life lost (YLLs) from 288 causes of death by age-sex-location-year in 204 countries and territories and 811 subnational locations for each year from 1990 until 2021. The analysis used 56 604 data sources, including data from vital registration and verbal autopsy as well as surveys, censuses, surveillance systems, and cancer registries, among others. As with previous GBD rounds, cause-specific death rates for most causes were estimated using the Cause of Death Ensemble model-a modelling tool developed for GBD to assess the out-of-sample predictive validity of different statistical models and covariate permutations and combine those results to produce cause-specific mortality estimates-with alternative strategies adapted to model causes with insufficient data, substantial changes in reporting over the study period, or unusual epidemiology. YLLs were computed as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 1000-draw distribution for each metric. We decomposed life expectancy by cause of death, location, and year to show cause-specific effects on life expectancy from 1990 to 2021. We also used the coefficient of variation and the fraction of population affected by 90% of deaths to highlight concentrations of mortality. Findings are reported in counts and age-standardised rates. Methodological improvements for cause-of-death estimates in GBD 2021 include the expansion of under-5-years age group to include four new age groups, enhanced methods to account for stochastic variation of sparse data, and the inclusion of COVID-19 and other pandemic-related mortality-which includes excess mortality associated with the pandemic, excluding COVID-19, lower respiratory infections, measles, malaria, and pertussis. For this analysis, 199 new country-years of vital registration cause-of-death data, 5 country-years of surveillance data, 21 country-years of verbal autopsy data, and 94 country-years of other data types were added to those used in previous GBD rounds. FINDINGS The leading causes of age-standardised deaths globally were the same in 2019 as they were in 1990; in descending order, these were, ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and lower respiratory infections. In 2021, however, COVID-19 replaced stroke as the second-leading age-standardised cause of death, with 94·0 deaths (95% UI 89·2-100·0) per 100 000 population. The COVID-19 pandemic shifted the rankings of the leading five causes, lowering stroke to the third-leading and chronic obstructive pulmonary disease to the fourth-leading position. In 2021, the highest age-standardised death rates from COVID-19 occurred in sub-Saharan Africa (271·0 deaths [250·1-290·7] per 100 000 population) and Latin America and the Caribbean (195·4 deaths [182·1-211·4] per 100 000 population). The lowest age-standardised death rates from COVID-19 were in the high-income super-region (48·1 deaths [47·4-48·8] per 100 000 population) and southeast Asia, east Asia, and Oceania (23·2 deaths [16·3-37·2] per 100 000 population). Globally, life expectancy steadily improved between 1990 and 2019 for 18 of the 22 investigated causes. Decomposition of global and regional life expectancy showed the positive effect that reductions in deaths from enteric infections, lower respiratory infections, stroke, and neonatal deaths, among others have contributed to improved survival over the study period. However, a net reduction of 1·6 years occurred in global life expectancy between 2019 and 2021, primarily due to increased death rates from COVID-19 and other pandemic-related mortality. Life expectancy was highly variable between super-regions over the study period, with southeast Asia, east Asia, and Oceania gaining 8·3 years (6·7-9·9) overall, while having the smallest reduction in life expectancy due to COVID-19 (0·4 years). The largest reduction in life expectancy due to COVID-19 occurred in Latin America and the Caribbean (3·6 years). Additionally, 53 of the 288 causes of death were highly concentrated in locations with less than 50% of the global population as of 2021, and these causes of death became progressively more concentrated since 1990, when only 44 causes showed this pattern. The concentration phenomenon is discussed heuristically with respect to enteric and lower respiratory infections, malaria, HIV/AIDS, neonatal disorders, tuberculosis, and measles. INTERPRETATION Long-standing gains in life expectancy and reductions in many of the leading causes of death have been disrupted by the COVID-19 pandemic, the adverse effects of which were spread unevenly among populations. Despite the pandemic, there has been continued progress in combatting several notable causes of death, leading to improved global life expectancy over the study period. Each of the seven GBD super-regions showed an overall improvement from 1990 and 2021, obscuring the negative effect in the years of the pandemic. Additionally, our findings regarding regional variation in causes of death driving increases in life expectancy hold clear policy utility. Analyses of shifting mortality trends reveal that several causes, once widespread globally, are now increasingly concentrated geographically. These changes in mortality concentration, alongside further investigation of changing risks, interventions, and relevant policy, present an important opportunity to deepen our understanding of mortality-reduction strategies. Examining patterns in mortality concentration might reveal areas where successful public health interventions have been implemented. Translating these successes to locations where certain causes of death remain entrenched can inform policies that work to improve life expectancy for people everywhere. FUNDING Bill & Melinda Gates Foundation

Quality Function Deployment Method and Its Application on Wearable Technology Product Development

Keywords: QFD, wearable technology, consumer, product developer</p

Are Laundry Balls a Sustainable Washing Option for Consumers? Investigating the Effect of Laundry Balls on Microfiber Pollution through the Lens of Cradle-to-Cradle Design Model

Laundry balls are promoted as a sustainable washing option because they do not contain chemical elements, unlike laundry detergent, which causes water pollution. However, little research exists to showcase the impact of laundry balls on microfiber pollution during home laundering. Using a cradle-to-cradle framework, this study aimed to investigate the effect of laundry balls on microfiber shedding during the home laundering process of synthetic clothing with different washing cycles. A factorial experimental design, consisting of 4 (washing options) &times; 3 (washing cycles) &times; 2 (repetitions) was used for this study. The ANOVA test was applied using SAS software. The findings revealed that different laundry balls including a ceramic laundry ball, lint remover laundry ball, and scrubbing laundry ball, did not reduce microfiber shedding of synthetic clothing. In fact, the use of the ceramic laundry ball accelerated microfiber shedding. It also presented the effects of different washing cycles on microfiber shedding of synthetic clothing. The study findings point towards the need to educate consumers about choosing the right washing options to minimize microfiber shedding. The findings also have implications for the industry and researchers to develop more sustainable washing options to reduce negative environmental effects by controlling microfiber pollution in home laundering

Are Laundry Balls a Sustainable Washing Option for Consumers? Investigating the Effect of Laundry Balls on Microfiber Pollution through the Lens of Cradle-to-Cradle Design Model

Laundry balls are promoted as a sustainable washing option because they do not contain chemical elements, unlike laundry detergent, which causes water pollution. However, little research exists to showcase the impact of laundry balls on microfiber pollution during home laundering. Using a cradle-to-cradle framework, this study aimed to investigate the effect of laundry balls on microfiber shedding during the home laundering process of synthetic clothing with different washing cycles. A factorial experimental design, consisting of 4 (washing options) × 3 (washing cycles) × 2 (repetitions) was used for this study. The ANOVA test was applied using SAS software. The findings revealed that different laundry balls including a ceramic laundry ball, lint remover laundry ball, and scrubbing laundry ball, did not reduce microfiber shedding of synthetic clothing. In fact, the use of the ceramic laundry ball accelerated microfiber shedding. It also presented the effects of different washing cycles on microfiber shedding of synthetic clothing. The study findings point towards the need to educate consumers about choosing the right washing options to minimize microfiber shedding. The findings also have implications for the industry and researchers to develop more sustainable washing options to reduce negative environmental effects by controlling microfiber pollution in home laundering