EEOA: Cost and Energy Efficient Task Scheduling in a Cloud-Fog Framework.

Cloud-fog computing is a wide range of service environments created to provide quick, flexible services to customers, and the phenomenal growth of the Internet of Things (IoT) has produced an immense amount of data on a daily basis. To complete tasks and meet service-level agreement (SLA) commitments, the provider assigns appropriate resources and employs scheduling techniques to efficiently manage the execution of received IoT tasks in fog or cloud systems. The effectiveness of cloud services is directly impacted by some other important criteria, such as energy usage and cost, which are not taken into account by many of the existing methodologies. To resolve the aforementioned problems, an effective scheduling algorithm is required to schedule the heterogeneous workload and enhance the quality of service (QoS). Therefore, a nature-inspired multi-objective task scheduling algorithm called the electric earthworm optimization algorithm (EEOA) is proposed in this paper for IoT requests in a cloud-fog framework. This method was created using the combination of the earthworm optimization algorithm (EOA) and the electric fish optimization algorithm (EFO) to improve EFO's potential to be exploited while looking for the best solution to the problem at hand. Concerning execution time, cost, makespan, and energy consumption, the suggested scheduling technique's performance was assessed using significant instances of real-world workloads such as CEA-CURIE and HPC2N. Based on simulation results, our proposed approach improves efficiency by 89%, energy consumption by 94%, and total cost by 87% over existing algorithms for the scenarios considered using different benchmarks. Detailed simulations demonstrate that the suggested approach provides a superior scheduling scheme with better results than the existing scheduling techniques.

Effectiveness of BBV152/Covaxin and AZD1222/Covishield vaccines against severe COVID-19 and B.1.617.2/Delta variant in India, 2021: a multi-centric hospital-based case-control study.

OBJECTIVES: India introduced BBV152/Covaxin and AZD1222/Covishield vaccines in January 2021. We estimated the effectiveness of these vaccines against severe COVID-19 among individuals aged ≥45 years. METHODS: We did a multi-centric, hospital-based, case-control study between May and July 2021. Cases were severe COVID-19 patients, and controls were COVID-19 negative individuals from 11 hospitals. Vaccine effectiveness (VE) was estimated for complete (2 doses ≥ 14 days) and partial (1 dose ≥ 21 days) vaccination; interval between two vaccine doses and vaccination against the Delta variant. We used the random effects logistic regression model to calculate the adjusted odds ratios (aOR) with a 95% confidence interval (CI) after adjusting for relevant known confounders. RESULTS: We enrolled 1143 cases and 2541 control patients. The VE of complete vaccination was 85% (95% CI: 79-89%) with AZD1222/Covishield and 71% (95% CI: 57-81%) with BBV152/Covaxin. The VE was highest for 6-8 weeks between two doses of AZD1222/Covishield (94%, 95% CI: 86-97%) and BBV152/Covaxin (93%, 95% CI: 34-99%). The VE estimates were similar against the Delta strain and sub-lineages. CONCLUSION: BBV152/Covaxin and AZD1222/Covishield were effective against severe COVID-19 among the Indian population during the period of dominance of the highly transmissible Delta variant in the second wave of the pandemic. An escalation of two-dose coverage with COVID-19 vaccines is critical to reduce severe COVID-19 and further mitigate the pandemic in the country.

Longer amplicons provide better sensitivity for electrochemical sensing of viral nucleic acid in water samples using PCB electrodes.

The importance of monitoring environmental samples has gained a lot of prominence since the onset of COVID-19 pandemic, and several surveillance efforts are underway using gold standard, albeit expensive qPCR-based techniques. Electrochemical DNA biosensors could offer a potential cost-effective solution suitable for monitoring of environmental water samples in lower middle income countries. In this work, we demonstrate electrochemical detection of amplicons as long as [Formula: see text] obtained from Phi6 bacteriophage (a popular surrogate for SARS-CoV-2) isolated from spiked lake water samples, using ENIG finish PCB electrodes with no surface modification. The electrochemical sensor response is thoroughly characterised for two DNA fragments of different lengths ([Formula: see text] and [Formula: see text]), and the impact of salt in PCR master mix on methylene blue (MB)-DNA interactions is studied. Our findings establish that length of the DNA fragment significantly determines electrochemical sensitivity, and the ability to detect long amplicons without gel purification of PCR products demonstrated in this work bodes well for realisation of fully-automated solutions for in situ measurement of viral load in water samples.

Antibiotic resistance: A cross-sectional study on knowledge, attitude, and practices among veterinarians of Haryana state in India.

AIM: The current study aimed to assess the knowledge, attitude, and practices pertaining to antibiotic usage among the field veterinarians who serve as nodal officers playing a crucial role in disseminating knowledge to the farmers regarding livestock management practices in India. MATERIALS AND METHODS: A pilot study was conducted in which 106 of the 173 field veterinarians of Haryana, India, agreed to contribute through their valuable participation in the study. The collected data were critically analyzed by simple descriptive statistics, and the responses were ranked using Garrett's ranking method. RESULTS: Our study found that most of the clinicians were aware of the fundamental clinical aspects of antibiotic resistance (AR), i.e., the general causes and transmission of resistance, response during treatment failure, and safe disposal of hospital waste. Further, implementation of "antibiotic stewardship" (rational/responsible use of antibiotics) and interruption of AR transmission by means of cross-kingdom pathogens are two ways to restrict the spread of resistant pathogens which were not in the clinical purview of majority of the clinicians. This highlights a lack of awareness and scope of improving clinician's knowledge pertaining to AR. Moreover, we got to know the methodology adopted by farmers for disposal of infected milk from diseased udders as well as their attitude toward diseased and unproductive animals. CONCLUSION: This study provides snippets of the current animal husbandry practices prevalent at the field level which would assist to plug in the gaps of knowledge regarding AR among the veterinarians as well as the general public and serve to reduce its deleterious impacts in Indian animal farming as well as in the world through the concept of "One World, One Health."

An unusual variation of axillary artery: a case report.

An unusual unilateral variation was observed in branching pattern and course of branches of the axillary artery of the left upper limb in an adult male cadaver. The superior thoracic branch of axillary artery had a very unusual course as it passed between the two divisions of the lateral cord of the brachial plexus and then descended down towards the first two intercostal spaces. A common trunk was seen arising from the third part of the axillary artery which divided into anterior and posterior circumflex humeral, subscapular and Profunda brachii artery. The ulnar and radial collaterals arose from the Profunda brachii artery rather than the brachial artery. The knowledge about such variations becomes essential and of utmost significance in various clinical procedures performed by the vascular surgeons, radiologists and clinical anatomists. Moreover, the injuries of the brachial plexus are quite common and require exploration and repair. During such repair surgeries the abnormal arterial branch may be a matter of definite concern if its presence is not kept in mind.

Hidden leprosy cases in tribal population groups and how to reach them through a collaborative effort.

BACKGROUND: Tribal populations are an underserved population group and access to health services is a major challenge for them. Since leprosy treatment is integrated with the general health services, identifying leprosy cases is not be easy in these settings and they remain as endemic reservoirs, unless greater efforts are made to reach them. METHODOLOGY: An active search operation was conducted in the tribal colonies in four pre-identified Health & Nutrition Clusters, Nellore district, Andhra Pradesh, India, in 2013. After a brief training, village health nurses and selected volunteers covered all the households, showing flash cards with photos of leprosy cases and enquiring if there was any resident with a similar condition. Suspects were listed and examined by the district leprosy supervisor and field coordinators from Damien Foundation. Follow up interviews were done after one year to assess the treatment completion rate. RESULTS: Village health workers covered 47,574 people living in the tribal colonies and identified 325 leprosy suspects. Among them, 70 were confirmed as new leprosy cases. The prevalence of previously undetected leprosy cases was found to be 14.7/10,000. Out of 70 cases, 19 (27%) were children, 35 (50%) were female, 32 (45.7%) were classified as MB leprosy, 6 (8.6%) had a leprosy reaction and 11 (15.7%) persons had Grade 2 disability at the time of diagnosis. The treatment completion rate was found to be 74% at the end of one year. CONCLUSION: The study reveals a very high burden of leprosy among the tribal population and demonstrates how resources can be mobilized from government, NGO and local community sources to promote early case detection among underserved population groups.