Virtual Mouse And Assistant: A Technological Revolution Of Artificial Intelligence

The purpose of this paper is to enhance the performance of the virtual assistant. So, what exactly is a virtual assistant. Application software, often called virtual assistants, also known as AI assistants or digital assistants, is software that understands natural language voice commands and can perform tasks on your behalf. What does a virtual assistant do. Virtual assistants can complete practically any specific smartphone or PC activity that you can complete on your own, and the list is continually expanding. Virtual assistants typically do an impressive variety of tasks, including scheduling meetings, delivering messages, and monitoring the weather. Previous virtual assistants, like Google Assistant and Cortana, had limits in that they could only perform searches and were not entirely automated. For instance, these engines do not have the ability to forward and rewind the song in order to maintain the control function of the song; they can only have the module to search for songs and play them. Currently, we are working on a project where we are automating Google, YouTube, and many other new things to improve the functionality of this project. Now, in order to simplify the process, we've added a virtual mouse that can only be used for cursor control and clicking. It receives input from the camera, and our index finger acts as the mouse tip, our middle finger as the right click, and so forth

Harnessing Millets for Climate Resilience and Nutritional Security in India

Millets have been widely recognized as ‘nutricereals’ as they are rich in nutrients. India is the leading producer of millets. These are crops which require low moisture, are short duration and can bear elevated temperatures. It is known that the effects of climate change will have a negative impact on Indian agriculture by reducing yields, deteriorating quality of grain, increase in price, etc. Hence, there is a demanding need to look for solutions that ensure food security, income security as well as nutritional security. This study is an attempt to provide a comprehensive overview of status of millets in India in terms of growth, nutrition and climate resilience. Annual growth trends were calculated for pearl millet, finger millet, sorghum and small millets. The results revealed that the growth rate of area & production for small millets has shown negative trends while the yield has shown positive trend. In decadal analysis the highest negative growth was witnessed in the last decade i.e., 2010-2020. While varied trends were reported for jowar, bajra and ragi individually. Literature review showed that be it pearl millet, finger millet or small millets are used as antidiabetic food option. And are proven to be a solution for food and nutritional security in case of climate change events. It is required that these crops be incentivised by government through proper market linkage and remunerative price

Real-time implementation for vulnerability of power components under switching attack based on sliding mode

In recent years, cyber security-related studies in the power grid have drawn wide attention, with much focus on its detection, mainly for data injection type of attacks. The vulnerability of power components as a result of attack and their impact on generator dynamics have been largely ignored so far. With the aim of addressing some of these issues, the authors propose a novel approach using real-time sliding surface-based switching attack (SA) construction. This approach targets the circuit breaker, excitation system, and governor system of the generator. The vulnerability of these power components to cyber-physical attacks and assessment of their potential impact on the stability of generator are discussed. The study is presented to show the progression of cascading generator dynamics on account of single or multiple time instants of SA launched on these power components. The results are discussed according to criteria in terms of deviations in rotor speed of the generator and identify some of possible combinations of power components that are most critical to grid stability. The proposed study is implemented on standard IEEE 3-machine, 9-bus network in real-time digital simulator via transmission control protocol/internet protocol (TCP/IP) communication network established as cyber-physical system. The sliding surface-based SA algorithm developed in MATLAB is launched from another computer

An Imaging and Computational Algorithm for Efficient Identification and Quantification of Neutrophil Extracellular Traps

Neutrophil extracellular traps (NETs) are associated with multiple disease pathologies including sepsis, asthma, rheumatoid arthritis, cancer, systemic lupus erythematosus, acute respiratory distress syndrome, and COVID-19. NETs, being a disintegrated death form, suffered inconsistency in their identification, nomenclature, and quantifications that hindered therapeutic approaches using NETs as a target. Multiple strategies including microscopy, ELISA, immunoblotting, flow cytometry, and image-stream-based methods have exhibited drawbacks such as being subjective, non-specific, error-prone, and not being high throughput, and thus demand the development of innovative and efficient approaches for their analyses. Here, we established an imaging and computational algorithm using high content screening (HCS)—cellomics platform that aid in easy, rapid, and specific detection as well as analyses of NETs. This method employed membrane-permeable and impermeable DNA dyes in situ to identify NET-forming cells. Automated algorithm-driven single-cell analysis of change in nuclear morphology, increase in nuclear area, and change in intensities provided precise detection of NET-forming cells and eliminated user bias with other cell death modalities. Further combination with Annexin V staining in situ detected specific death pathway, e.g., apoptosis, and thus, discriminated between NETs, apoptosis, and necrosis. Our approach does not utilize fixation and permeabilization steps that disturb NETs, and thus, allows the time-dependent monitoring of NETs. Together, this specific imaging-based high throughput method for NETs analyses may provide a good platform for the discovery of potential inhibitors of NET formation and/or agents to modulate neutrophil death, e.g., NETosis-apoptosis switch, as an alternative strategy to enhance the resolution of inflammation

Effect of Silver Nanoparticles on the Synthesis of Algal Lipids

In light of the increasing depletion of fossil fuel reserves throughout the world, excessive pollution from greenhouse gases, and a gradual increase in carbon dioxide (CO2) content in the atmosphere as a result of many anthropogenic interventions that have significantly altered the global carbon cycle, renewable energy sources have major future potential. Due to the ability to alter their lipid processes in response to environmental changes, microalgae can be utilized as a replacement since they are versatile enough to thrive in a range of environments and serve as a source of bioenergy. It is also an appealing medium for absorbing the extra CO2 existing in the atmosphere. Water samples with visible algal colonies were collected from different sources in India and isolated on BG11 medium. To boost the lipid yield of the strains, silver nanoparticles prepared from ginger (Zingiber officinale) extracts were added after the specific strains of microalgae had their biomass production assessed. According to morphological analyses, all the isolates were spherical, green in colour, unicellular in structure, and had a range of cell sizes. The highest lipid concentration was identified in the microalgal isolate JUMAC-7 whereas the lowest was found in JUMAC-4 according to research on how silver nanoparticles triggered lipid synthesis. Therefore, the inclusion of silver nanoparticles opens a new paradigm for efficient lipid production and consequent quality biodiesel production

LC–MS/MS method for simultaneousestimation of raloxifene, cladrin in ratplasma: application in pharmacokineticstudies – supplementary materials

Aim: A newer LC–MS/MS method was developed and validated for the simultaneous quantification ofraloxifene (RL) and cladrin (CL). Methodology: Both drugs were resolved in RP-18 (4.6 × 50 mm, 5 μ)Xbridge Shield column using acetonitrile and 0.1% aqueous solution of formic acid (FA) (70:30% v/v)as mobile phase by using biological matrices in female Sprague–Dawley rats using–MS/MS. Results: Thedeveloped method was found to be linear over the concentration ranges of 1–600 ng/ml, and lowerlimit of quantification was 1 ng/ml for RL and CL, respectively. Pharmacokinetic results of RL+CL showedCmax = 4.23 ± 0.61, 26.97 ± 1.14 ng/ml, at Tmax(h) 5.5 ± 1.00 and 3.5 ± 1.00, respectively. Conclusion:Pharmacokinetic study results will be useful in the future for the combined delivery of RL and CL forosteoporosis treatment.</p

Allosteric modulation of GPCR-induced β-arrestin trafficking and signaling by a synthetic intrabody

Agonist-induced phosphorylation of G protein-coupled receptors (GPCRs) is a primary determinant of β-arrestin (βarr) recruitment and trafficking. For several GPCRs such as the vasopressin receptor subtype 2 (V2R), agonist-stimulation first drives the translocation of βarrs to the plasma membrane, followed by endosomal trafficking, which is generally considered to be orchestrated by multiple phosphorylation sites. We have previously shown that mutation of a single phosphorylation site in the V2R (i.e., V2RT360A) results in near-complete loss of βarr translocation to endosomes despite robust recruitment to the plasma membrane, and compromised ERK1/2 activation. Here, we discover that a synthetic intrabody (Ib30), which selectively recognizes activated βarr1, efficiently rescues the endosomal trafficking of βarr1 and ERK1/2 activation for V2RT360A. Molecular dynamics simulations reveal that Ib30 enriches active-like βarr1 conformation with respect to the inter-domain rotation, and cellular assays demonstrate that it also enhances βarr1-β2-adaptin interaction. Our data provide an experimental framework to positively modulate the receptor-transducer-effector axis for GPCRs using intrabodies, which can be potentially integrated in the paradigm of GPCR-targeted drug discovery

Proceedings of International Conference on Applied Mathematics & Computational Sciences

This proceedings contain articles of the various research ideas of the academic community and practitioners presented at the International Conference on Applied Mathematics &amp; Computational Sciences (ICAMCS 2019). ICAMCS2019 aimed to provide a platform to discuss ideas, issues, challenges, findings, opportunities, and applications of Applied Mathematics and Computational Sciences in various fields. It is a great privilege for us to present the proceedings of ICAMCS2019 to the authors and the delegates of the event. We hope that you will find it useful, valuable, aspiring, and inspiring. Conference Title: International Conference on Applied Mathematics &amp; Computational SciencesConference Acronym: ICAMCS-2019Conference Date: 17-19 October, 2019Conference Location: DIT University, DehradunConference Organizers: DIT University, Dehradun, Indi