Bollywood personalities like Shah Rukh Khan, Salman Khan, Hrithik Roshan, Kapil Sharma, Katrina Kaif, Kartik Aaryan, Priyanka Chopra, Anil Kapoor, Rani Mukherjee, and Janhvi Kapoor had attended the show in the past, the officer added.
Reviewers have referred to the show as a desi version of Sex and The City.[4] The first season was one of the top three most-watched Amazon Original Series from India in 2019, and season two was called "the most-watched Indian show on the platform" in May 2020.[5] Shortly after season 2 was released, Amazon announced that season 3 was in the works.[6] Season 3 premiered on October 21, 2022.
Jain also portrayed Tara in the long-running show Yeh Rishta Kya Kehlata Hai on Star Plus.[citation needed] About her character, Umang said, "I play Tara in the show. She is a hockey player, who is slightly rough on the edges as she has been raised in a family of men but she is a soft and sweet person inside. She always stands up for what is right."[7]
MUMBAI: Arti Singh is a popular television actress who has been a part of various soaps. She was last seen in famous reality show Bigg Boss 13. Arti Singh might have been known initially by her brother and comedian Krushna Abhishek as well as uncle and Bollywood actor Govinda, but the actress has proved that she has the talent to be here in tinsel town on her own terms. She has mesmerized fans with her performances in shows like Thoda Hai Bas Thode Ki Zaroorat Hai, Parichay and Waaris.
As per our sources, Arti Singh has been roped in to play a pivotal role in the show. This new show will be produced by well-known writers and directors Raghuvir Shekhawat and Ravindra Gautam under the Do Dooni Char production house.
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Be prepared to be a part of sheer imagination, confidence, and grace, where fashion becomes an adventure and creativity reigns supreme. Brace yourself for an experience that will leave you spellbound and forever change the way you perceive the limitless possibilities of fashion, so come along on the umang runaway to showcase your drip.
Epidemiological studies suggest that nutrition plays an important role in colonic cancer prevention. A possible mechanism of this prevention may be the modulation of carcinogen metabolism and scavenging of reactive intermediates. In particular, dietary fibres are discussed as potentially protective food ingredients. Therefore, the aim of this study was to analyse if the expression of genes related to biotransformation is modulated by fermentation samples of dietary fibres. HT29 (human colonic carcinoma) and LT97 (human adenoma) cells were incubated with fermentation supernatant (SFS), produced by in vitro fermentation of inulin enriched with oligofructose. Possible mechanisms of de-toxification were investigated by analysing the expression of catalase and glutathione-S-transferase (GST) A4 mRNA and the enzyme activity of catalase and GST. In addition, protection of both cell lines against DNA damage, induced by H(2)O(2) or 4-hydroxynonenal (HNE), was analysed using the comet assay. Incubation with SFS resulted in significantly increased GSTA4 mRNA expression, significantly enhanced catalase activity and a significant reduction in the amount of H(2)O(2)-induced DNA damage in HT29 cells. Our results show that complex fermentation samples of inulin-type fructans favourably modulate expression of genes related to biotransformation in carcinoma cells, which in turn supports the important role of dietary fibres in primary chemoprevention.
Multi-threaded programs are challenging to write. Developers often need to reason about a prohibitively large number of thread interleavings to reason about the behavior of software. A non-interference property like atomicity can reduce this interleaving space by ensuring that any execution is equivalent to an execution where all atomic blocks are executed serially. We consider the well studied notion of conflict serializability for dynamically checking atomicity. Existing algorithms detect violations of conflict serializability by detecting cycles in a graph of transactions observed in a given execution. The number of edges in such a graph can grow quadratically with the length of the trace making the analysis not scalable. In this paper, we present AeroDrome, a novel single pass linear time algorithm that uses vector clocks to detect violations of conflict serializability in an online setting. Experiments show that AeroDrome scales to traces with a large number of events with significant speedup.
N2 - Multi-threaded programs are challenging to write. Developers often need to reason about a prohibitively large number of thread interleavings to reason about the behavior of software. A non-interference property like atomicity can reduce this interleaving space by ensuring that any execution is equivalent to an execution where all atomic blocks are executed serially. We consider the well studied notion of conflict serializability for dynamically checking atomicity. Existing algorithms detect violations of conflict serializability by detecting cycles in a graph of transactions observed in a given execution. The number of edges in such a graph can grow quadratically with the length of the trace making the analysis not scalable. In this paper, we present AeroDrome, a novel single pass linear time algorithm that uses vector clocks to detect violations of conflict serializability in an online setting. Experiments show that AeroDrome scales to traces with a large number of events with significant speedup.
AB - Multi-threaded programs are challenging to write. Developers often need to reason about a prohibitively large number of thread interleavings to reason about the behavior of software. A non-interference property like atomicity can reduce this interleaving space by ensuring that any execution is equivalent to an execution where all atomic blocks are executed serially. We consider the well studied notion of conflict serializability for dynamically checking atomicity. Existing algorithms detect violations of conflict serializability by detecting cycles in a graph of transactions observed in a given execution. The number of edges in such a graph can grow quadratically with the length of the trace making the analysis not scalable. In this paper, we present AeroDrome, a novel single pass linear time algorithm that uses vector clocks to detect violations of conflict serializability in an online setting. Experiments show that AeroDrome scales to traces with a large number of events with significant speedup.
MERENDIANDO is a platform to showcase local and international artists engaged in creating their culture, with the intention of grounding the process of making and presenting art in real life conversations. Check out the possibilities podcast episode and all their work at -radio-aluna-theatre/
Today we launch our minisode series with our first guest, Umang! You already have gotten to know and love Umang(@umangwrites) as the host of Podcast Podcast and in this minisode they talk about connection through creativity, intentional relationships and nurturing love. Check out this episode to learn more about the possibilities that are opening for them in this time!
Over the years, several memory models have been proposed to capture the subtle concurrency semantics of C/C++. One of the most fundamental problems associated with a memory model M is consistency checking: given an execution X, is X consistent with M? This problem lies at the heart of numerous applications, including specification testing and litmus tests, stateless model checking, and dynamic analyses. As such, it has been explored extensively and its complexity is well-understood for traditional models like SC and TSO. However, less is known for the numerous model variants of C/C++, for which the problem becomes challenging due to the intricacies of their concurrency primitives. In this work we study the problem of consistency checking for popular variants of the C11 memory model, in particular, the RC20 model, its release-Acquire (RA) fragment, the strong and weak variants of RA (SRA and WRA), as well as the Relaxed fragment of RC20. Motivated by applications in testing and model checking, we focus on reads-from consistency checking. The input is an execution X specifying a set of events, their program order and their reads-from relation, and the task is to decide the existence of a modification order on the writes of X that makes X consistent in a memory model. We draw a rich complexity landscape for this problem; our results include (i) nearly-linear-Time algorithms for certain variants, which improve over prior results, (ii) fine-grained optimality results, as well as (iii) matching upper and lower bounds (NP-hardness) for other variants. To our knowledge, this is the first work to characterize the complexity of consistency checking for C11 memory models. We have implemented our algorithms inside the TruSt model checker and the C11Tester testing tool. Experiments on standard benchmarks show that our new algorithms improve consistency checking, often by a significant margin.
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