1,277 research outputs found

    sj-docx-1-jpc-10.1177_21501319231199014 – Supplemental material for The Use of Telemedicine to Improve Hypertension in an Urban Primary Care Clinic and Predictors of Improved Blood Pressure

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    Supplemental material, sj-docx-1-jpc-10.1177_21501319231199014 for The Use of Telemedicine to Improve Hypertension in an Urban Primary Care Clinic and Predictors of Improved Blood Pressure by Ajay Kerai, Namratha Meda, Khushboo Agarwal, Mohil Garg, Brototo Deb, Pooja Singh, Puneet Singla, Tareq Arar, Godwin Darko and Nnenna Oluigbo in Journal of Primary Care & Community Health</p

    Sampling hurdles : “Borderline Illegitimate” to legitimate data.

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    In this paper the author discusses how sampling access and recruitment problems encountered in an in-depth interview study heightened her sensitivity to “borderline illegitimate” data. The term illegitimate data usually refers to the data collected during a covert study, whereas “legitimate” data are collected during an overt study. Hence, data collected during any nonconsented period(s) of an overt study lie on the borderline of illegitimacy and legitimacy, and constitute what the author calls borderline illegitimate data. Such data need legitimization before use. The borderline illegitimate data were collected during the pre- and postinterview stages of her study as they explained how medical and ethnic cultures and sensitivity to racism as a topic combined to create sample recruitment difficulties of the study. The author later legitimized them by sharing them with the participants, guaranteeing anonymity, and asking their permission to use them

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    Unpacking the impact of the TikTok ban on local content creators and the rise of Indianized social media apps.

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    This paper investigates the repercussions of the TikTok ban in 2020 and the subsequent migration of local content creators to alternative platforms, with a particular focus on the identity negotiation of the marginalized LGBTQIA+ community. The author positions this paper as an exploration of the displacement experienced by rural young queers in expressing their queerness following the ban. TikTok was a platform that transcended class barriers and provided an equal platform for socioeconomically diverse users. However, its ban led to the emergence of Indianized social media apps that have further segregated the classes. The author argues that this phenomenon requires academic attention because the rise of these Indian apps coincides with the overshadowing of right-wing populism. By exploring these complex dynamics, this paper contributes to the understanding of the impact of digital media on the social fabric of contemporary India.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/177335/1/15-Garg-Tiktok-Social Media and Society in India Proceedings-66-72-10.73027932.pdfSEL

    Leggett-Garg inequalities for quantum fluctuating work

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    This is the author accepted manuscript. The final version is available from MDPI via the DOI in this recordThe Leggett-Garg inequalities serve to test whether or not quantum correlations in time can be explained within a classical macrorealistic framework. We apply this test to thermodynamics and derive a set of LeggettGarg inequalities for the statistics of fluctuating work done on a quantum system unitarily driven in time. It is shown that these inequalities can be violated in a driven two-level system, thereby demonstrating that there exists no general macrorealistic description of quantum work. These violations are shown to emerge within the standard Two-Projective-Measurement scheme as well as for alternative definitions of fluctuating work that are based on weak measurement. Our results elucidate the influences of temporal correlations on work extraction in the quantum regime and highlight a key difference between quantum and classical thermodynamics.HM is supported by EPSRC through a Doctoral Training Grant. J.A. acknowledges support from EPSRC, grant EP/M009165/1, and the Royal Society. This research was supported by the COST network MP1209 “Thermodynamics in the quantum regime”

    Atomic "bomb testing": The Elitzur-Vaidman experiment violates the Leggett-Garg inequality

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    \ua9 The Author(s) 2018. Elitzur and Vaidman have proposed a measurement scheme that, based on the quantum superposition principle, allows one to detect the presence of an object-in a dramatic scenario, a bomb-without interacting with it. It was pointed out by Ghirardi that this interaction-free measurement scheme can be put in direct relation with falsification tests of the macro-realistic worldview. Here we have implemented the "bomb test" with a single atom trapped in a spin-dependent optical lattice to show explicitly a violation of the Leggett-Garg inequality-a quantitative criterion fulfilled by macro-realistic physical theories. To perform interaction-free measurements, we have implemented a novel measurement method that correlates spin and position of the atom. This method, which quantum mechanically entangles spin and position, finds general application for spin measurements, thereby avoiding the shortcomings inherent in the widely used push-out technique. Allowing decoherence to dominate the evolution of our system causes a transition from quantum to classical behavior in fulfillment of the Leggett-Garg inequality

    Dynamic Scheduling in Real Time for Resource Optimization

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    Master of Technology (VLSI Design and CAD)Scheduling is a decision making process which deals with the allocation of resources to tasks over given time periods. Scheduling means how the processes can be assigned on the available CPU. It is a key feature in multitasking, multiprocessing and real-time operating system design. Scheduling is done by scheduler and dispatcher. A scheduler is a person or machine that organizes or maintains schedules. A dispatcher is a module which gives control of CPU to the process selected by the scheduler. Scheduling problem involves jobs that must schedule on machines subject to certain constraints to optimize some objective functions. In real time systems the correctness of the results depends not only on the logical computations but also on the time at which results are produced. In real time environments, scheduler needs to ensure that processes meet the deadlines that are crucial for keeping the system safe. The tasks which result in catastrophic conditions on missing the deadline are the hard real time tasks and the tasks whose results are useful even after missing the deadline are known as soft real time systems. In real time system, processes can dynamically increase or decrease in priority depending on whether it has been serviced already, or it is waiting extensively. The priority assignment schemes assign priorities to different tasks which can be static or dynamic. The study of various scheduling algorithms along with the comparison between different real time scheduling algorithms has been done in the thesis. Resource optimization is of main concern in case of scheduling in real time. Shortest path algorithms achieve resource optimization between different nodes by finding the shortest path using dynamic scheduling. Shortest distance between the nodes results in resource optimization and the tasks are scheduled through that optimized path in order to achieve feasible and efficient schedule. The shortest paths between all the nodes along with the calculation of probability of error in all the paths have been evaluated using dynamic scheduling by considering two cases: (i) when node N4 is failed (ii) when node N12 is failed. From the above two cases it has been observed that the probability of failure comes out to be the upmost for nodes N13, N12 and B.Electronics and Communication Engineering Department, Thapar University, Patial
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