A Cross-Sectional Assessment of Quantitative Epidermal Melanin and Erythema Indices among North Indians.

Background: Remarkable diversity of skin tones among Indians ranging from pale pinkish to dark brown appears to be an ideal choice for the assessment of skin pigment variation. Aim: The present study was designed to assess the variation observed in melanin and erythema indices among north Indians. Material and Methods: Skin reflectance data (n = 574) was collected from six diverse populations of north India using DermaSpectrometer (DSM II ColorMeter) followed by statistical analysis to investigate the impact of geographical location and gender on constitutive skin pigmentation. Results: The melanin index (MI) varied between 17.93 and 56.92 (Mean (M) = 35.80 ± 6.26) whereas the erythema index (EI) varied between 4.92 and 18.82 (M = 10.48 ± 2.68). MI and EI of females were found to be significantly lower than males (P < 0.001). Geographical location exhibited a significant association with MI and EI (P < 0.001). Furthermore, we have noted a positive correlation between MI and EI (P < 0.001). Conclusion: The study has refined our understanding of skin pigmentation variation among north Indians in terms of significant association with geographical location {MI: F (5,568) = 31.07, P < 0.001; EI: F (5,568) = 73.37, P < 0.001} and gender {MI: t (386) = -4.06, P < 0.001; EI: t (386) = -11.96, P < 0.001} and rendered opportunities for further studies.

Changes in psychosocial functioning among urban, school-age children during the COVID-19 pandemic.

BACKGROUND: There is concern about the effect of the COVID-19 pandemic on psychosocial functioning among school-age children, who have faced unusual stressors during this time. Our goal was to assess mental health symptoms and social risks during COVID-19, compared to before the pandemic, for urban, racial and ethnic minority school-age children, and investigate the relationship between mental health and social risks. METHODS: We conducted a cohort study from September 2019 until January 2021 of children age 5-11 years old recruited from an urban safety net hospital-based pediatric primary care practice. We measured emotional and behavioral symptoms (including attention, internalizing, and externalizing symptoms) before and during the pandemic with the Pediatric Symptom Checklist (PSC-17). We measured social risks (including food and housing insecurity) before and during the pandemic with the THRIVE screener. We measured additional mid-pandemic COVID-related stressors with items on school participation, screens/media use, illness exposure, and caregiver mental health. We compared pre- and mid-pandemic PSC-17 symptom scores across 4 domains (total, attention, internalizing, and externalizing) and used path analysis to examine the relationship between mental health and social risks pre- and mid-pandemic. RESULTS: Caregivers of 168 children (54% non-Hispanic Black, 29% Hispanic, and 22% non-English speaking) completed the study. Children had significantly higher levels of emotional and behavioral symptoms midpandemic- vs. pre-pandemic in all domains. Significantly more children had a positive PSC-17 total score (18% vs. 8%, p < 0.01) and internalizing (depression and anxiety) score (18% vs. 5%, p < 0.001) during the pandemic vs. before, indicating clinical concerns in these areas. Caregivers reported significantly more social risks during vs. before the pandemic (p < 0.001). Mental health symptoms significantly correlated with number of social risks before the pandemic, but not during the pandemic. Less school assignment completion, increased screen time, and caregiver depression were all significantly associated with worse mid-pandemic mental health in children. CONCLUSION: The COVID-19 pandemic has led to a dramatic increase in depression/anxiety problems and social risks among urban, racial and ethnic minority school-age children compared to before the pandemic. More research is needed to understand if these changes will persist.

Assessment of rhesus and kell blood group antigens, phenotypes, and their allelic frequencies in North Indian blood donors.

BACKGROUND: Prevalence of rhesus (Rh) and Kell antigens in a population vary with race, ethnicity, and geographical location. With advances in immunohematology, non-D antigens, and their corresponding antibodies are increasingly being found to be culprits for alloimmunization. MATERIALS AND METHODS: Assessment of the phenotype of Rh and Kell blood group antigen in the healthy donor population from North India was done, and estimation of the frequencies of these alleles in our population was performed. RESULTS: The most common antigen in the North Indian donor population was "e" (95.6%) followed by "C" (89.6%), "c" (57.7%), and "E" (17.29%) in that order. The most prevalent phenotype in the Indian population was found to be "CDe" followed by "CcDe" and "CcDEe." "K" antigen was found to be positive in 1.81% of the population. DISCUSSION: Knowledge of the Rh antigen profiles in a given population can be very helpful in formulating transfusion guidelines specific to a particular population with an aim to minimize the cost and maximize the benefits. With this aim in mind and considering the problems encountered in developing countries like ours, we conducted Rh and Kell antigen profiling of donors. Comparative analysis with other population studies and implications for transfusion protocols is evaluated. CONCLUSION: Assessment of Rhesus antigen profile of a particular population is useful to develop cost effective ways of providing maximum benefits of blood transfusion with least resources.

Assessment of Myoelectric Controller Performance and Kinematic Behavior of a Novel Soft Synergy-Inspired Robotic Hand for Prosthetic Applications.

Myoelectric artificial limbs can significantly advance the state of the art in prosthetics, since they can be used to control mechatronic devices through muscular activity in a way that mimics how the subjects used to activate their muscles before limb loss. However, surveys indicate that dissatisfaction with the functionality of terminal devices underlies the widespread abandonment of prostheses. We believe that one key factor to improve acceptability of prosthetic devices is to attain human likeness of prosthesis movements, a goal which is being pursued by research on social and human-robot interactions. Therefore, to reduce early abandonment of terminal devices, we propose that controllers should be designed so as to ensure effective task accomplishment in a natural fashion. In this work, we have analyzed and compared the performance of three types of myoelectric controller algorithms based on surface electromyography to control an underactuated and multi-degrees of freedom prosthetic hand, the SoftHand Pro. The goal of the present study was to identify the myoelectric algorithm that best mimics the native hand movements. As a preliminary step, we first quantified the repeatability of the SoftHand Pro finger movements and identified the electromyographic recording sites for able-bodied individuals with the highest signal-to-noise ratio from two pairs of muscles, i.e., flexor digitorum superficialis/extensor digitorum communis, and flexor carpi radialis/extensor carpi ulnaris. Able-bodied volunteers were then asked to execute reach-to-grasp movements, while electromyography signals were recorded from flexor digitorum superficialis/extensor digitorum communis as this was identified as the muscle pair characterized by high signal-to-noise ratio and intuitive control. Subsequently, we tested three myoelectric controllers that mapped electromyography signals to position of the SoftHand Pro. We found that a differential electromyography-to-position mapping ensured the highest coherence with hand movements. Our results represent a first step toward a more effective and intuitive control of myoelectric hand prostheses.