An investigation of universal design (UD) features in Indian household products.

BACKGROUND: Universal design (UD) is a beneficial concept for better accessible design to improve easy approachability and industry-standard products. Specifically, Indian household products require UD features in domains such as bathroom and toilet, furniture, kitchen utilities, and home appliances. Among household product design in India, a lack of understanding of the product's universality might be a constraint for product designers. Also, there are no studies assessing the UD features of Indian household products. OBJECTIVE: (1) To examine the UD feature of Indian household products against the seven principles of UD; (2) To determine the most lacking UD feature among Indian household products; and (3) To find out the Indian household categories (i.e., bathroom and toilet, furniture, kitchen utilities, and home appliances) which are most lacking in UD performance. METHOD: The UD features were evaluated using a standardized questionnaire, which contains 29 questions on UD principles and general questions (gender, education level, age and house characteristics). Using statistical packages, the data were computed for mean and frequency distribution, as well as analyzed to achieve the objectives. The analysis of variance (ANOVA) was performed for comparative analyses. RESULTS: The results indicate that the "flexibility in use" and "perceptible information" principles were lacking among the Indian household products. Also, bathroom and toilet and furniture household products were most lacking in UD performance. CONCLUSION: The findings of this research will enlighten the insights into the usefulness, usability, safety, and marketability of Indian household products. In addition, they will be helpful in promoting UD features and obtaining financial benefits from the Indian market.

Comparative Analysis of Male Cyclist Population in Four Asia Countries for Anthropometric Measurements.

This study aimed to compare the anthropometric variables of male cyclist samples from India, China, Singapore, and Taiwan. The cyclist's body dimensions were measured among 413 randomly chosen males (aged between 18 to 60), which included 104 Indians, 106 Taiwanese, 100 Singaporeans, and 103 Chinese. Based on the previous research articles, the considered 17 anthropometric variables were weight, stature, BMI, buttock extension, shoulder height (sitting), shoulder-elbow length, elbow height (sitting), lower leg length, knee height, acromion-grip length, hand length, elbow-hand length, buttock-popliteal length, buttock-knee length, elbow-to-elbow breadth, hip breadth (sitting), and foot breadth. Using statistical techniques (descriptive statistics, the Mann-Whitney U test, and Kruskal-Wallis H test), the data were analysed in SPSS, version 25.0. The results of the statistical analyses showed significant differences among the cyclists across selected anthropometric characteristics, except for the weight and sitting-related anthropometric measurements. The outcome of the descriptive statistics (percentile values), such as the percentile range (5th to 95th percentile), could be applied to the seat-height adjustment system to cover 95% of the bicyclist population. These types of implantation could enhance the ergonomic benefits for the bicyclist.

Association analysis of SSR markers with phenology, grain, and Stover-yield related traits in pearl millet (Pennisetum glaucum (L.) R. Br.).

Pearl millet is a staple food crop for millions of people living in the arid and semi-arid tropics. Molecular markers have been used to identify genomic regions linked to traits of interest by conventional QTL mapping and association analysis. Phenotypic recurrent selection is known to increase frequencies of favorable alleles and decrease those unfavorable for the traits under selection. This study was undertaken (i) to quantify the response to recurrent selection for phenotypic traits during breeding of the pearl millet open-pollinated cultivar "CO (Cu) 9" and its four immediate progenitor populations and (ii) to assess the ability of simple sequence repeat (SSR) marker alleles to identify genomic regions linked to grain and stover yield-related traits in these populations by association analysis. A total of 159 SSR alleles were detected across 34 selected single-copy SSR loci. SSR marker data revealed presence of subpopulations. Association analysis identified genomic regions associated with flowering time located on linkage group (LG) 6 and plant height on LG4, LG6, and LG7. Marker alleles on LG6 were associated with stover yield, and those on LG7 were associated with grain yield. Findings of this study would give an opportunity to develop marker-assisted recurrent selection (MARS) or marker-assisted population improvement (MAPI) strategies to increase the rate of gain for pearl millet populations undergoing recurrent selection.