Exploring the intersection of biology and design for product innovations

Design, development, productization, and applications of advanced product concepts are pressing for higher multifunctionality, resilience, and maximization of available resources equitably to meet the growing and continuing demands of global customers. These demands have further accelerated during the recent COVID-19 pandemic and are continuing to be a challenge. Engineering designs are one of the most effective ways to endow products with functions, resilience, and sustainability. Biology, through millions of years of evolution, has met these acute requirements under severe resource and environmental constraints. As the manufacturing of products is reaching the fundamental limits of raw materials, labor, and resource constraints in terms of availability, accessibility, and affordability, new approaches are a call to action to meet these challenges. Understanding the designs in biology is an attractive, novel, and desired frontier for learning and implementation to meet this call to action. This is the focus of the paper discussed through examples for convergence of fundamental engineering design concepts and the lessons learned and applied from biology.

Migrants and the Inclusive Policy Framework: Has Kerala Set the Precedent for Others to Emulate?

Migrants are subjects that are often left out in the policy discourse, even though India has one of the largest floating populations in the world. At times when the migrant communities are facing scornful events at different quarters of their lives, the State of Kerala has addressed similar concerns through policy deliberations framed with the utmost care and importance, thus emerging as the pro-migrant State in the country. The article incorporates a discussion on the various policy initiatives adopted by the State machinery for the welfare and betterment of inter-state migrant workers employed in the State. Expanding the scope, the study deals with the different policy interventions adopted by the State machinery to address the vulnerabilities of in-migrants which emerged during the ongoing COVID-19 pandemic. An evaluation of the State's existing migrant related policy framework points to the extent of its effectiveness in sensitising and improving the lives of inter-state migrants. Through these efforts, the Government of Kerala sends a strong message on the inevitability of having an inclusive and unified approach in identifying and addressing the needs of the migrant community by transcending the trivial human-made distinctions while keeping human beings and humanity at the centre of all actions.

Wearable Sensor Data for Classification and Analysis of Functional Fitness Exercises Using Unsupervised Deep Learning Methodologies

Healthcare institutions, policymakers, and leaders around the world all agree that improving people’s health and livelihoods is our number one priority. Aging, disability, long-term care, and palliative care all pose significant challenges to the burden of illness and the health system. Wearable technology has a number of healthcare applications, from patient care to personal health. Wearable devices, sensors, mobile apps, and tracking technologies are essential for the diagnosis, prevention, monitoring, and treatment of chronic diseases. Create and test a method to automatically classify four functional fitness exercises commonly used in current circuit training routines. The proposed algorithm, fuzzy local feature C-means algorithm (FLFCM), enhanced with information-maximizing generative adversarial network, was used to locate five inertial measurement units on the upper and lower limbs, as well as the trunk, of fourteen participants (INFOGAN). The proposed method is suitable for this situation because it yields promising results.

Cannabis-related allergies: An international overview and consensus recommendations.

Cannabis is the most widely used recreational drug in the world. Cannabis sativa and Cannabis indica have been selectively bred to develop their psychoactive properties. The increasing use in many countries has been accelerated by the COVID-19 pandemic. Cannabis can provoke both type 1 and type 4 allergic reactions. Officially recognized allergens include a pathogenesis-related class 10 allergen, profilin, and a nonspecific lipid transfer protein. Other allergens may also be relevant, and recognition of allergens may vary between countries and continents. Cannabis also has the potential to provoke allergic cross-reactions to plant foods. Since cannabis is an illegal substance in many countries, research has been hampered, leading to challenges in diagnosis since no commercial extracts are available for testing. Even in countries such as Canada, where cannabis is legalized, diagnosis may rely solely on the purchase of cannabis for prick-to-prick skin tests. Management consists of avoidance, with legal issues hindering the development of other treatments such as immunotherapy. Education of healthcare professionals is similarly lacking. This review aimed to summarize the current status of cannabis allergy and proposes recommendations for the future management of this global issue.

Deep Learning-Based Real-Time AI Virtual Mouse System Using Computer Vision to Avoid COVID-19 Spread.

The mouse is one of the wonderful inventions of Human-Computer Interaction (HCI) technology. Currently, wireless mouse or a Bluetooth mouse still uses devices and is not free of devices completely since it uses a battery for power and a dongle to connect it to the PC. In the proposed AI virtual mouse system, this limitation can be overcome by employing webcam or a built-in camera for capturing of hand gestures and hand tip detection using computer vision. The algorithm used in the system makes use of the machine learning algorithm. Based on the hand gestures, the computer can be controlled virtually and can perform left click, right click, scrolling functions, and computer cursor function without the use of the physical mouse. The algorithm is based on deep learning for detecting the hands. Hence, the proposed system will avoid COVID-19 spread by eliminating the human intervention and dependency of devices to control the computer.

Willingness and ability of oral health care workers to work during the COVID-19 pandemic.

BACKGROUND: The COVID-19 pandemic continues to disrupt dental practice in the United States. Oral health care workers play an integral role in societal health, yet little is known about their willingness and ability to work during a pandemic. METHODS: Oral health care workers completed a survey distributed on dental-specific Facebook groups during an 8-week period (May 1-June 30, 2020) about their willingness and ability to work during the COVID-19 pandemic, barriers to working, and willingness to receive a COVID-19 vaccine. RESULTS: Four hundred and fifty-nine surveys were returned. Only 53% of dentists, 33% of dental hygienists, 29% of dental assistants, and 48% of nonclinical staff members would be able to work a normal shift during the pandemic, and even fewer (50%, 18%, 17%, and 38%, respectively) would be willing to work a normal shift. Barriers included caring for family, a second job, and personal obligations, and these were faced by dental assistants and hygienists. Dentists were more likely than hygienists (P < .001), assistants (P < .001), and nonclinical staff members (P = .014) to receive a COVID-19 vaccine. CONCLUSIONS: Oral health care workers have a decreased ability and willingness to report to work during a pandemic, and dentists are significantly more able and willing to work than hygienists and assistants. Dentists are more likely than staff to receive a COVID-19 vaccine. PRACTICAL IMPLICATIONS: The results of this study may help inform future initiatives of dental workforce readiness during a pandemic. Dentists should be prepared to discuss alterations to standard operating procedures to allay staff members' fears and improve retention rates during pandemics, allowing for improved access to oral health care.

Dual inhibition of COVID-19 spike glycoprotein and main protease 3CLpro by Withanone from Withania somnifera.

OBJECTIVE: To identify the safe and effective natural inhibitors of spike glycoprotein and main protease 3CLpro using potential natural antiviral compounds which are studied under various animal models and viral cell lines. METHODS: First, compounds were retrieved from the PubChem database and predicted for their druggability using the MolSoft web server, and compounds having drug-like property were predicted for major adverse drug reactions like cardiotoxicity, hepatotoxicity, arrhythmia, myocardial infarction, and nephrotoxicity using ADVERpred. Docking of nontoxic antiviral compounds with spike glycoprotein and main protease 3CLpro was performed using AutoDock vina by PyRx 0.8 version. The stability of compound-protein interactions was checked by molecular dynamic (MD) simulation using Schrodinger Desmond software. RESULTS: Based on the druggable and nontoxic profile, nine compounds were selected. Among them, Withanone from Withania somnifera showed the highest binding affinity and best fit at active sites 1 of spike glycoprotein (glycosylation site) and main protease 3CLpro via interacting with active site amino acid residues before and after MD simulation at 50 ns. Withanone, which may reduce the glycosylation of SARS-CoV-2 via interacting with Asn343 and inhibit viral replication. CONCLUSION: The current study reports Withanone as a non-toxic antiviral against SARS-CoV-2 and serve as a potential lead hit for further experimental validation.

Is home hemodialysis a practical option for older people?

An increasing demand for in-center dialysis services has been largely driven by a rapid growth of the older population progressing to end-stage kidney disease. Since the onset of the COVID-19 pandemic, efforts to encourage home-based dialysis options have increased due to risks of infective transmission for patients receiving hemodialysis in center-based units. There are various practical and clinical advantages for patients receiving hemodialysis at home. However, the lack of caregiver support, cognitive and physical impairment, challenges of vascular access, and preparation and training for home hemodialysis (HHD) initiation may present as barriers to successful implementation of HHD in the older dialysis population. Assessment of an older patient's frailty status may help clinicians guide patients when making decisions about HHD. The development of an assisted HHD care delivery model and advancement of telehealth and technology in provision of HHD care may increase accessibility of HHD services for older patients. This review examines these factors and explores current unmet needs and barriers to increasing access, inclusion, and opportunities of HHD for the older dialysis population.

Impact of lockdown due to COVID-19 outbreak on O-3 and its precursor gases, PM and BC over northeast India

Copernicus Atmosphere Monitoring Service (CAMS) data are used to evaluate the impact of the lockdown (24 March-3 May 2020) on the concentrations of surface O-3, NOx, CO, SO2, PM and BC compared to those measured during the same period in 2015-2019 over northeast India and adjoining areas. Measurements made at Dibrugarh complements the CAMS observations. The NOx, NO2, CO, SO2, BC and PM concentrations dipped appreciably over northeast India and nearby countries. Similar decrement is observed in Dibrugarh in 2020 over their reference levels. Reduction of precursor gases triggered an increase in O-3 concentration across northeast India and adjoining South Asia and at Dibrugarh. The air quality over the region improved from moderate to satisfactory levels due to the lockdown.

Response of ambient BC concentration across the Indian region to the nation-wide lockdown: results from the ARFINET measurements of ISRO-GBP

In this study, we assess the response of ambient aerosol black carbon (BC) mass concentrations and spectral absorption properties across Indian mainland during the nation-wide lockdown (LD) in connection with the Coronavirus Disease 19 (COVID-19) pandemic. The LD had brought near to total cut-off of emissions from industrial, traffic (road, railways, marine and air) and energy sectors, though the domestic emissions remained fairly unaltered. This provided a unique opportunity to delineate the impact of fossil fuel combustion sources on atmospheric BC characteristics. In this context, the primary data of BC measured at the national network of aerosol observatories (ARFINET) under ISRO-GBP are examined to assess the response to the seizure of emissions over distinct geographic parts of the country. Results indicate that average BC concentrations over the Indian mainland are curbed down significantly (10–40%) from prelockdown observations during the first and most intense phase of lockdown. This decline is significant with respect to the long-term (2015–2019) averaged (climatological mean) values. The drop in BC is most pronounced over the Indo-Gangetic Plain (>60%) and north-eastern India (>30%) during the second phase of lockdown, while significant reduction is seen during LD1 (16–60%) over central and peninsular Indian as well as Himalayan and sub-Himalayan regions. Despite such a large reduction, the absolute magnitude of BC remained higher over the IGP and north-eastern sites compared to other parts of India. Notably, the spectral absorption index of aerosols changed very little over most of the locations, indicating the still persisting contribution of fossil-fuel emissions over most of the locations. [ABSTRACT FROM AUTHOR] Copyright of Current Science (00113891) is the property of Indian Academy of Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Characterization of Patients with COVID-19 Admitted to a Community Hospital of East Harlem in New York City.

Background New York City was the epicenter for the coronavirus disease 2019 (COVID-19) in the United States. Accordingly, the aim of this study was to characterize the population of patients admitted with this condition to a community hospital in East Harlem located in the northeast part of the city. Methods A retrospective review of medical records of patients at least 18 years of age, admitted to the hospital with COVID-19 disease from March 14 to April 30 of 2020. Results Three hundred and seventy-one patients were identified. The majority was comprised of men. Obesity, hypertension, and hyperlipidemia were the most prevalent comorbidities. Most patients were treated with a combination of hydroxychloroquine, azithromycin, zinc, and vitamin C. Twenty-three percent of the patients died from the disease during the study period. Conclusion Morbidity and mortality were substantial in patients with COVID-19 admitted to a community hospital in East Harlem.