SMART CAR PARKING SYSTEM FOR VEHICLES

In day to day life theres massive drawback of parking of cars in metro cities attributable to lack of parking areas. So now a days we are constructing new system to solve this problem named as multilevel automatic parking system for vehicles Robotic automotive parking system. That the project work is to develop a automotive parking system that permits 6 to 26 cars inside an area of 32.17 sq.m with security of fingerprint ID for licensed entry solely. This model is very helpful for development in numerous areas like automation i.e. PLC micro-controllers and automation https://journalnx.co

Novel Frame Work for Blockchain Based Votingapplication Using Ethereum Virtual Machine

Blockchain fills in as a scattered record development which licenses propelled assets for be executed in decentralized framework which works in a common manner. In bound together systems everything depends upon the central structure and the outcomes of throwing a voting form system were not exact considering the way that anyone can change. These kinds of results are wrong and not trustworthy by the people who are voting. The Voting machines that are accessible as of now rely upon the servers which are centralized. Here the people who are voting have to keep belief on the concentrated individuals for the accurate results. So, the contemplating decentralized law-based systems that can settle on the political choice procedure very snappy and easy. These scattered systems are the most praised advancement improvement in this present genuine world. Here Blockchain advancement has various wide extent of usages starting and beginning from distributing statistics, economics etc. Here the blockchain advancement is used as a help of achieve this just assembled application that depends concerning a decentralized appropriated application. Here, the structure works in the way as follows, the transactions or understandings whichever executed are changed over into machine reasonable method of reasoning that engages and ensures understanding among various people who are in the organization, and in like manner who has the solidarity to support their individual money exchanges, different activities and opposite party challenges that are associated with their checking and observing. Smart understandings will be enabled and they are to be passed on into a blockchain space or stage, the amount of possible use cases for this development will be checked and improves amazingly. The most critical use of this blockchain is that to empty the prerequisite for pariahs in the two individuals when all is said in done and the private parts, to end up being progressively capable and effective

Evaluation of tuberose genotype IIHR 17-23SP-08 (IC0642158) for flower yield, quality and response to biotic stress

Tuberose (Agave amica, family Asparagaceae) is an important commercial flower crop valued for its spectacular fragrant flowers. An experiment was conducted to evaluate the single petalled tuberose genotypes for growth, flowering, flower yield, concrete yield and response to biotic stress for two consecutive years from 2020 to 2022. Tuberose genotype IIHR 17-23SP-08 was found to be superior with highest plant height (55.53 cm), early flowering (94.93 days), highest number of spikes/plant (8.47), longest spikes (114.61cm) and rachis (32.11cm) and maximum number of florets/spike (54.87). The matured bud weight of IIHR 17-23SP-08 was 1.29 g, which is preferable in the medium segment range with higher number of flower buds (725 buds per kg). It is a high yielder producing the highest number of spikes/m2 (76.20) and loose flower yield 18.88 t/ha/year among the genotypes evaluated. The genotype IIHR 17-23SP-08 was also found to be a good multiplier with the maximum bulb production of 8.94 bulbs per clump. It was found to be resistant to root knot nematode (Meloidogyne incognita) and tolerant to leaf burn disease (Alternaria polianthi) under field conditions. It was found suitable as loose flower for garland preparation with the shelf life of 2 days under ambient conditions and for concrete extraction with the concrete yield of 0.095%. It produces white buds (RHS colour: NNI55D, white group, Fan 4) with green tinge on the tip. Thus, the genotype IIHR 17 23SP 08 was found promising and novel among the single types with better flower and bulb yield parameters

Centrilobular emphysema and coronary artery calcification: mediation analysis in the SPIROMICS cohort

Abstract Background Chronic obstructive pulmonary disease (COPD) is associated with a two-to-five fold increase in the risk of coronary artery disease independent of shared risk factors. This association is hypothesized to be mediated by systemic inflammation but this link has not been established. Methods We included 300 participants enrolled in the SPIROMICS cohort, 75 each of lifetime non-smokers, smokers without airflow obstruction, mild-moderate COPD, and severe-very severe COPD. We quantified emphysema and airway disease on computed tomography, characterized visual emphysema subtypes (centrilobular and paraseptal) and airway disease, and used the Weston visual score to quantify coronary artery calcification (CAC). We used the Sobel test to determine whether markers of systemic inflammation mediated a link between spirometric and radiographic features of COPD and CAC. Results FEV1/FVC but not quantitative emphysema or airway wall thickening was associated with CAC (p = 0.036), after adjustment for demographics, diabetes mellitus, hypertension, statin use, and CT scanner type. To explain this discordance, we examined visual subtypes of emphysema and airway disease, and found that centrilobular emphysema but not paraseptal emphysema or bronchial thickening was independently associated with CAC (p = 0.019). MMP3, VCAM1, CXCL5 and CXCL9 mediated 8, 8, 7 and 16% of the association between FEV1/FVC and CAC, respectively. Similar biomarkers partially mediated the association between centrilobular emphysema and CAC. Conclusions The association between airflow obstruction and coronary calcification is driven primarily by the centrilobular subtype of emphysema, and is linked through bioactive molecules implicated in the pathogenesis of atherosclerosis. Trial Registration ClinicalTrials.gov: Identifier: NCT01969344 .https://deepblue.lib.umich.edu/bitstream/2027.42/146749/1/12931_2018_Article_946.pd

Advances in GPCR modeling evaluated by the GPCR Dock 2013 assessment: Meeting new challenges

© 2014 Elsevier Ltd All rights reserved. Despite tremendous successes of GPCR crystallography, the receptors with available structures represent only a small fraction of human GPCRs. An important role of the modeling community is to maximize structural insights for the remaining receptors and complexes. The community-wide GPCR Dock assessment was established to stimulate and monitor the progress in molecular modeling and ligand docking for GPCRs. The four targets in the present third assessment round presented new and diverse challenges for modelers, including prediction of allosteric ligand interaction and activation states in 5-hydroxytryptamine receptors 1B and 2B, and modeling by extremely distant homology for smoothened receptor. Forty-four modeling groups participated in the assessment. State-of-the-art modeling approaches achieved close-to-experimental accuracy for small rigid orthosteric ligands and models built by close homology, and they correctly predicted protein fold for distant homology targets. Predictions of long loops and GPCR activation states remain unsolved problems

Designing Nanoconjugates to Effectively Target Pancreatic Cancer Cells In Vitro and In Vivo

Pancreatic cancer is the fourth leading cause of cancer related deaths in America. Monoclonal antibodies are a viable treatment option for inhibiting cancer growth. Tumor specific drug delivery could be achieved utilizing these monoclonal antibodies as targeting agents. This type of designer therapeutic is evolving and with the use of gold nanoparticles it is a promising approach to selectively deliver chemotherapeutics to malignant cells. Gold nanoparticles (GNPs) are showing extreme promise in current medicinal research. GNPs have been shown to non-invasively kill tumor cells by hyperthermia using radiofrequency. They have also been implemented as early detection agents due to their unique X-ray contrast properties; success was revealed with clear delineation of blood capillaries in a preclinical model by CT (computer tomography). The fundamental parameters for intelligent design of nanoconjugates are on the forefront. The goal of this study is to define the necessary design parameters to successfully target pancreatic cancer cells.The nanoconjugates described in this study were characterized with various physico-chemical techniques. We demonstrate that the number of cetuximab molecules (targeting agent) on a GNP, the hydrodynamic size of the nanoconjugates, available reactive surface area and the ability of the nanoconjugates to sequester EGFR (epidermal growth factor receptor), all play critical roles in effectively targeting tumor cells in vitro and in vivo in an orthotopic model of pancreatic cancer.Our results suggest the specific targeting of tumor cells depends on a number of crucial components 1) targeting agent to nanoparticle ratio 2) availability of reactive surface area on the nanoparticle 3) ability of the nanoconjugate to bind the target and 4) hydrodynamic diameter of the nanoconjugate. We believe this study will help define the design parameters for formulating better strategies for specifically targeting tumors with nanoparticle conjugates

Roles of residues in the interface of transient protein-protein complexes before complexation

Transient protein-protein interactions play crucial roles in all facets of cellular physiology. Here, using an analysis on known 3-D structures of transient protein-protein complexes, their corresponding uncomplexed forms and energy calculations we seek to understand the roles of protein-protein interfacial residues in the unbound forms. We show that there are conformationally near invariant and evolutionarily conserved interfacial residues which are rigid and they account for ∼65% of the core interface. Interestingly, some of these residues contribute significantly to the stabilization of the interface structure in the uncomplexed form. Such residues have strong energetic basis to perform dual roles of stabilizing the structure of the uncomplexed form as well as the complex once formed while they maintain their rigid nature throughout. This feature is evolutionarily well conserved at both the structural and sequence levels. We believe this analysis has general bearing in the prediction of interfaces and understanding molecular recognition