Landing of tiger shark Galeocerdo cuvieri at New Ferry Wharf, Mumbai

Two tiger sharks Galeocerdo cuvieri were landed at new ferry wharf, Mumbai during 13th september 2003 and 16th october 2003 by trawl net which operated at 50 -60 kms away on north and west of mumbai coastat adepth of 40 -50 meter

Improving the Performance and Satisfaction of Students in Embedded Systems with PBL Approach

In the under graduate studies, teaching the concepts in the course on Embedded Systems has been always challenge for the faculty. Performance of many students is not up to mark as well as the joy of learning is also not observed in them. This paper is based on the experiments carried out with Project Based Learning (PBL) approach with Rubric’s reviews. The study developed a method of self-learning to apply core electronics knowledge to increase student performance and keen interest in Microcontrollers and its applications. The new design method consists of eight-week PBL strategy to work in group of three students to solve real-world problems. The student’s quality results were improved by 8 % and overall performance in scaled up by 29% as compared to successive previous two years. Also, the feedback from the students shows satisfaction as well as joy of learnin

Combining Thermal Sensing And Facial Recognition For Efficient Prevention Of Covid Spread

In present prevailing covid-19 situation medical industry had prescribed mandatory precautionary measures to reduce the disease spread. Face mask wearing and temperature monitoring of people in public places is a mandatory practice done across the world in common. People were appointed for this purpose of temperature checking and monitoring the wearing of face mask by people  at  public places . The traditional process being practiced involves a human involvement which in turn is an alarming threat that the person involved in this monitoring process can be affected by the disease and might act as a carrier unless the person  is diagnosed with symptoms at the earliest. The primary goal of the paper is to avoid the human to human interaction and automating the process of implementing covid prevention practice at public places. This can be achieved by implementing a face mask recognition system based on opencv-python which detects the wearing of face mask of people in public places  by using face recognition  technology and temperature monitoring is done by an arduino controlled human body temperature sensors . The collected data is fed to the monitoring person who is in a remote place and human assistance can be provided if any abnormality is recorded. Thus the proposed system provides and autonomous approach to the purpose of face mask and temperature monitoring in a minimalistic and feasible approac

Case History Compilation of Engineering Properties of Common Rocks in Maharashtra, India, for Database (1982-2002)

Rock samples are received from various project sites for testing at MERI. These rock samples were tested and test results were communicated to the project in charge from time to time. After carrying out tests to determine different engineering properties of various types of commonly available rocks, mostly for irrigation structures in Maharashtra, lot of historical data is available. It was felt that, this data of results may be compiled digitally in database software (M. S. Access) and analyzed suitably for use in design and construction of irrigation and other important structures in future. The results of about 1920 Rock samples tested during the period from 1982 to 2002 have been compiled in the database. Mainly the following test results are required by the construction agencies 1) %Water Absorption 2) Specific Gravity and Density of Rock 3) Compressive strength (Kg/cm2) General standards of acceptance of these rock properties are also discussed in this paper. Abstracts of results indicating Average, Minimum and Maximum values of laboratory test results on rocks are presented. Database presented in this paper is basin and sub-basin-wise, region-wise, district-wise and geological class-wise

Radiative thermal runaway due to negative differential thermal emission across a solid-solid phase transition

Thermal runaway occurs when a rise in system temperature results in heat generation rates exceeding dissipation rates. Here we demonstrate that thermal runaway occurs in thermal radiative systems, given a sufficient level of negative differential thermal emission. By exploiting the insulator-to-metal phase transition of vanadium dioxide, we show that a small increase in heat generation (e.g., 10 nW/mm2) can result in a large change in surface temperature (e.g., ~35 K), as the thermal emitter switches from high emissivity to low emissivity. While thermal runaway is typically associated with catastrophic failure mechanisms, detailed understanding and control of this phenomenon may give rise to new opportunities in infrared sensing, camouflage, and rectification

End-to-End Available Bandwidth Estimation Tools, An Experimental Comparison

Abstract. The available bandwidth of a network path impacts the per-formance of many applications, such as VoIP calls, video streaming and P2P content distribution systems. Several tools for bandwidth estimation have been proposed in the last years but there is still uncertainty in their accuracy and efficiency under different network conditions. Although a number of experimental evaluations have been carried out in order to compare some of these methods, a comprehensive evaluation of all the existing active tools for available bandwidth estimation is still missing. This article introduces an empirical comparison of most of the active esti-mation tools actually implemented and freely available nowadays. Abing, ASSOLO, DietTopp, IGI, pathChirp, Pathload, PTR, Spruce and Yaz have been compared in a controlled environment and in presence of dif-ferent sources of cross-traffic. The performance of each tool has been investigated in terms of accuracy, time and traffic injected into the net-work to perform an estimation.

Association of SUMOlation Pathway Genes With Stroke in a Genome-wide Association Study in India

OBJECTIVE: To undertake a genome-wide association study (GWAS) to identify genetic variants for stroke in an Indian population. METHODS: In a hospital-based case-control study, 8 teaching hospitals in India recruited 4,088 participants, including 1,609 stroke cases. Imputed genetic variants were tested for association with stroke subtypes using both single-marker and gene-based tests. Association with vascular risk factors was performed with logistic regression. Various databases were searched for replication, functional annotation, and association with related traits. Status of candidate genes previously reported in the Indian population was also checked. RESULTS: Associations of vascular risk factors with stroke were similar to previous reports and show modifiable risk factors such as hypertension, smoking, and alcohol consumption as having the highest effect. Single-marker–based association revealed 2 loci for cardioembolic stroke (1p21 and 16q24), 2 for small vessel disease stroke (3p26 and 16p13), and 4 for hemorrhagic stroke (3q24, 5q33, 6q13, and 19q13) at p < 5 × 10(−8). The index single nucleotide polymorphism of 1p21 is an expression quantitative trait locus (p(lowest) = 1.74 × 10(−58)) for RWDD3 involved in SUMOylation and is associated with platelet distribution width (1.15 × 10(−9)) and 18-carbon fatty acid metabolism (p = 7.36 × 10(−12)). In gene-based analysis, we identified 3 genes (SLC17A2, FAM73A, and OR52L1) at p < 2.7 × 10(−6). Eleven of 32 candidate gene loci studied in an Indian population replicated (p < 0.05), and 21 of 32 loci identified through previous GWAS replicated according to directionality of effect. CONCLUSIONS: This GWAS of stroke in an Indian population identified novel loci and replicated previously known loci. Genetic variants in the SUMOylation pathway, which has been implicated in brain ischemia, were identified for association with stroke

Queer In AI: A Case Study in Community-Led Participatory AI

Queerness and queer people face an uncertain future in the face of ever more widely deployed and invasive artificial intelligence (AI). These technologies have caused numerous harms to queer people, including privacy violations, censoring and downranking queer content, exposing queer people and spaces to harassment by making them hypervisible, deadnaming and outing queer people. More broadly, they have violated core tenets of queerness by classifying and controlling queer identities. In response to this, the queer community in AI has organized Queer in AI, a global, decentralized, volunteer-run grassroots organization that employs intersectional and community-led participatory design to build an inclusive and equitable AI future. In this paper, we present Queer in AI as a case study for community-led participatory design in AI. We examine how participatory design and intersectional tenets started and shaped this community’s programs over the years. We discuss different challenges that emerged in the process, look at ways this organization has fallen short of operationalizing participatory and intersectional principles, and then assess the organization’s impact. Queer in AI provides important lessons and insights for practitioners and theorists of participatory methods broadly through its rejection of hierarchy in favor of decentralization, success at building aid and programs by and for the queer community, and effort to change actors and institutions outside of the queer community. Finally, we theorize how communities like Queer in AI contribute to the participatory design in AI more broadly by fostering cultures of participation in AI, welcoming and empowering marginalized participants, critiquing poor or exploitative participatory practices, and bringing participation to institutions outside of individual research projects. Queer in AI’s work serves as a case study of grassroots activism and participatory methods within AI, demonstrating the potential of community-led participatory methods and intersectional praxis, while also providing challenges, case studies, and nuanced insights to researchers developing and using participatory methods