HYPOTHETICAL ANALYSIS OF THE CONCEPT OF LANGHANA WITH RESPECT TO AUTOPHAGY

Langhana is the treatment part of Ayurveda highly elaborated in its scientific approach. It is the form of Apatarpana generally opted for Santarpanajanya Vyadhi. Autophagy is relatively new and incidental finding of modern medicine which is currently researched on a very large scale for its anticipated outcomes in gerontology, autoimmune diseases as well as life style disorders. The results that are expected out of Langhana and the effects of autophagic mechanisms as presented today appear to be congruent although they are explained on different platforms with diverse terminology. Hence this is an attempt to put forth few complimentary aspects of both Langhana and autophagy which needs concrete scientific validation.&nbsp

Audio-attention discriminative language model for ASR rescoring

End-to-end approaches for automatic speech recognition (ASR) benefit from directly modeling the probability of the word sequence given the input audio stream in a single neural network. However, compared to conventional ASR systems, these models typically require more data to achieve comparable results. Well-known model adaptation techniques, to account for domain and style adaptation, are not easily applicable to end-to-end systems. Conventional HMM-based systems, on the other hand, have been optimized for various production environments and use cases. In this work, we propose to combine the benefits of end-to-end approaches with a conventional system using an attention-based discriminative language model that learns to rescore the output of a first-pass ASR system. We show that learning to rescore a list of potential ASR outputs is much simpler than learning to generate the hypothesis. The proposed model results in 8% improvement in word error rate even when the amount of training data is a fraction of data used for training the first-pass system.Comment: 4 pages, 1 figure, Accepted at ICASSP 202

A Bibliometric Analysis of Impact Energy Absorption System to Enhance Vehicle Crashworthiness

In automotive engineering, crashworthiness is defined as an automobile\u27s functionality to shield its occupants from critical harm or death just in case of accidents of a given proportion. The comprehensive study observed composite materials exhibit a high specific energy absorption rate in a controlled manner while crushing. Crashworthiness research has also captured attention, especially to evaluate the energy absorbing capacity of different components made from composite material while undergoing deformation. Composite materials may be custom designed to show that specific energy absorption abilities are better than the metal structures. The present study will benefit the community of engineers resulting in a sturdy automotive system. It is observed that a total of 1458 articles are published in different forms by past researchers. Following the trend of publications in the concerned area, the last six years are the point of significant contribution, and in the year 2016, a maximum of 263 articles are published worldwide. The detailed survey revealed that a maximum of journal articles are published compared to the other relevant sources. The United States is the leading country in the concerned research area publications, followed by China and Germany. Different energy absorbing system has shown promising attributes for reducing the fatality of accidents during a collision. Still, it has a long way to achieve a system that can absorb the total energy generated during a crash

A Bibliometric Analysis of Variable Displacement Pump for Optimal Control of Operating Parameters

A centralized lubrication system or automatic lubrication system (ALS) is a system that delivers controlled amounts of lubricant to multiple locations on a machine while the machine is operating as per machine requirement. Lubrication occurs while the machinery is in operation, causing the lubricant to be equally distributed within the bearing and increasing the machine’s availability. Proper lubrication of critical components ensures the safe operation of the machinery. Less wear on the elements results in extension of component life, lower breakdowns, reduced downtime, reduced replacement costs, and reduced maintenance costs. If we can measure lubrication amounts, we can control the wasted lubricant supplied in excess to machine components, resulting in lowering energy consumption. The advantages of this new technology are transparent, although the heart of the automated lubrication system is the variable displacement pump. It is observed that a total of 1554 articles are published in different forms by past researchers. Following the trend of publications in the concerned area, the last seven years are the point of significant contribution, and in the year 2020, a maximum of 109 articles are published worldwide. The detailed survey revealed that a maximum of journal articles is published compared to the other relevant sources. China is the leading country in the concerned research area publications, followed by the United States and Italy

Contextual Language Model Adaptation for Conversational Agents

Statistical language models (LM) play a key role in Automatic Speech Recognition (ASR) systems used by conversational agents. These ASR systems should provide a high accuracy under a variety of speaking styles, domains, vocabulary and argots. In this paper, we present a DNN-based method to adapt the LM to each user-agent interaction based on generalized contextual information, by predicting an optimal, context-dependent set of LM interpolation weights. We show that this framework for contextual adaptation provides accuracy improvements under different possible mixture LM partitions that are relevant for both (1) Goal-oriented conversational agents where it's natural to partition the data by the requested application and for (2) Non-goal oriented conversational agents where the data can be partitioned using topic labels that come from predictions of a topic classifier. We obtain a relative WER improvement of 3% with a 1-pass decoding strategy and 6% in a 2-pass decoding framework, over an unadapted model. We also show up to a 15% relative improvement in recognizing named entities which is of significant value for conversational ASR systems.Comment: Interspeech 2018 (accepted

Immune upregulation of novel antibacterial proteins from silkmoths (Lepidoptera) that resemble lysozymes but lack muramidase activity

Study on immune proteins in domesticated and wild silkmoths Bombyx mori and Antheraea mylitta, respectively, led to identification of a new class of antimicrobial proteins. We designated them as lysozyme-like proteins (LLPs) owing to their partial similarity with lysozymes. However, lack of characteristic catalytic amino acid residues essential for muramidase activity in LLPs puts them functionally apart from classical lysozymes. Two LLPs, one from B. mori (BLLP1) and the other from A. mylitta (ALLP1) expressed in a recombinant system, exhibited a broad-spectrum antibacterial action. Further investigation of the antibacterial mechanism revealed that BLLP1 is bacteriostatic rather than bactericidal against Escherichia coli and Micrococcus luteus. Substantial increase in hemolymph bacterial load was observed in B. mori upon RNA interference mediated in vivo knockdown of BLLP1. We demonstrate that the antibacterial mechanism of this protein depends on peptidoglycan binding unlike peptidoglycan hydrolysis or membrane permeabilization as observed with lysozymes and most other antimicrobial peptides. To our knowledge, this is the first report on functional analysis of novel, non-catalytic lysozyme-like family of antibacterial proteins that are quite apart functionally from classical lysozymes. The present analysis holds promise for functional annotation of similar proteins from other organisms

Physiology of Digestive System w.s.r. to Avastha Paka: an Ayurveda Review

According to medical science, digestion is the process by which complex food is broken down into its simplest form. These all peculiarities happen in gastrointestinal area. According to Ayurveda, Dhatwagni, Jathragni and Bhutagni are responsible for breaking down complex food into its simplest monomers. The Agni assumes key part in this cycle hence legitimate working of Agni is essential for the stomach related physiology. Grahani or Pakvamashaya is considered as the site of Jathragni. The process of digestion is helped by various components like Kledaka kapha, Pachaka pitta and Samana vayu. Samana vayu stimulates the Pachakagni so that food can be separated, Kledaka kapha softens food, and Pachaka pitta helps in the digestion process. The absorption begins with the utilization of food and this cycle finished in three phases specifically Avastha paka, these phases of Avastha paka are Madhur avastha paka, Amla avastha paka and Katu avastha paka

Streaming Speech-to-Confusion Network Speech Recognition

In interactive automatic speech recognition (ASR) systems, low-latency requirements limit the amount of search space that can be explored during decoding, particularly in end-to-end neural ASR. In this paper, we present a novel streaming ASR architecture that outputs a confusion network while maintaining limited latency, as needed for interactive applications. We show that 1-best results of our model are on par with a comparable RNN-T system, while the richer hypothesis set allows second-pass rescoring to achieve 10-20\% lower word error rate on the LibriSpeech task. We also show that our model outperforms a strong RNN-T baseline on a far-field voice assistant task.Comment: Submitted to Interspeech 202

Enhanced Antioxidant Activities of Metal Conjugates of Curcumin Derivatives

Antioxidant properties of three Curcumin derivatives in which the 1,3-diketone system is appended with nitrogen and sulfur donors and their copper conjugates are examined for the first time. Metal conjugation seems to offer distinct advantages in radical scavenging activities of curcumin compounds