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The world's fastest growing major economy is India. Gujarat is one of the fastest-growing states in India, with strong industrial and economic growth. A well-balanced transportation system is vital for the overall growth of any region. Gujarat also has a robust rail network, which complements this. Gujarat is the location of one of the busiest railroad lines that connects the political and commercial centres of Delhi and Mumbai. On the railway lines connecting Mumbai with Delhi and Ahmadabad with Mumbai, Valsad is one of the significant and crowded stations. Many residents of Valsad hold jobs in the neighbouring cities of Mumbai, Vapi, and Surat, among others. As a result, railroad is a popular means of transportation. The majority of these folks drive their two-wheelers or other vehicles from their residences to the railroad station, where they usually park them. People used to park their cars outside the parking lot during peak hours, such as early in the morning and late at night, when there was a significant demand for parking at the railway station. Because of this, adequate parking facilities are needed to prevent situations of this kind. According to field observations, there are not enough parking spaces at Valsad Railway Station. Because commuters used to park on the sides of the roads and on the sidewalks, there was constant traffic in and around the railway station area. As a result, Valsad Railway Station needs to evaluate parking demand. Inventory of parking spaces and a survey of parking utilisation by petrol were done to assess the parking demand licence plate technique. the demand exclusive parking surveys will be used to achieve clear situation of the existing parking state of affairs and future recommendation to ease the parking demand.

Delivery of nucleic acids, such as mRNA, to immune cells has become a major focus in the past decade with ionizable lipid nanoparticles (LNPs) emerging as a clinically-validated delivery platform. LNPs—typically composed of ionizable lipids, cholesterol, phospholipids, and polyethylene glycol lipids —have been designed and optimized for a variety of applications including cancer therapies, vaccines, and gene editing. However, LNPs have only recently been investigated for delivery to T cells, which has various therapeutic applications including the engineering of T cell immunotherapies. While several LNP formulations have been evaluated for mRNA delivery, recent work has demonstrated that the utilization of cholesterol analogs may enhance mRNA delivery. Other studies have shown that cholesterols modified with hydroxyl groups can alter endocytic recycling mechanisms. Here, we engineered a library of LNPs incorporating hydroxycholesterols to evaluate their impact on mRNA delivery to T cells by leveraging endosomal trafficking mechanisms. Substitution of 25% and 50% 7α-hydroxycholesterol for cholesterol in LNPs enhanced mRNA delivery to primary human T cells ex vivo by 1.8-fold and 2.0-fold, respectively. Investigation of endosomal trafficking revealed that these modifications also increase late endosome production and reduce the presence of recycling endosomes. These results suggest that hydroxyl modification of cholesterol molecules incorporated into LNP formulations provides a mechanism for improving delivery of nucleic acid cargo to T cells for a range of immunotherapy applications.

Congenital disorders resulting in pathological protein deficiencies are most often treated postnatally with protein or enzyme replacement therapies. However, treatment of these disorders in utero before irreversible disease onset could significantly minimize disease burden, morbidity, and mortality. One possible strategy for the prenatal treatment of congenital disorders is in utero delivery of messenger RNA (mRNA). mRNA is a nucleic acid therapeutic that has previously been investigated as a platform for protein replacement therapies and gene editing technologies. While viral vectors have been explored to induce intracellular expression of mRNA, they are limited in their clinical application due to risks associated with immunogenicity and genomic integration. As an alternative to viral vectors, safe and efficient in utero mRNA delivery can be achieved using ionizable lipid nanoparticles (LNPs). While LNPs have demonstrated potent in vivo mRNA delivery to the liver following intravenous administration, intra-amniotic delivery has the potential to deliver mRNA to cells and tissues beyond those in the liver, such as in the skin, lung, and digestive tract. However, LNP stability in fetal amniotic fluid and how this stability affects mRNA delivery has not been previously investigated. Here, we engineered a library of LNPs using orthogonal design of experiments (DOE) to evaluate how LNP structure affects their stability in amniotic fluid ex utero and whether a lead candidate identified from these stability measurements enables intra-amniotic mRNA delivery in utero. We used a combination of techniques including dynamic light scattering (DLS), transmission electron microscopy (TEM), and chromatography followed by protein content quantification to screen LNP stability in amniotic fluids. These results identified multiple lead LNP formulations that are highly stable in amniotic fluids ranging from small animals to humans, including mouse, sheep, pig, and human amniotic fluid samples. We then demonstrate that stable LNPs from the ex utero screen in mouse amniotic fluid enabled potent mRNA delivery in primary fetal lung fibroblasts and in utero following intra-amniotic injection in a murine model. This exploration of ex utero stability in amniotic fluids demonstrates a means by which to identify novel LNP formulations for prenatal treatment of congenital disorders via in utero mRNA delivery.

Viral engineered chimeric antigen receptor (CAR) T cell therapies are potent, targeted cancer immunotherapies, but their permanent CAR expression can lead to severe adverse effects. Nonviral messenger RNA (mRNA) CAR T cells are being explored to overcome these drawbacks, but electroporation, the most common T cell transfection method, is limited by cytotoxicity. As a potentially safer nonviral delivery strategy, here, sequential libraries of ionizable lipid nanoparticle (LNP) formulations with varied excipient compositions were screened in comparison to a standard formulation for improved mRNA delivery to T cells with low cytotoxicity, revealing B10 as the top formulation with a 3-fold increase in mRNA delivery. When compared to electroporation in primary human T cells, B10 LNPs induced comparable CAR expression with reduced cytotoxicity while demonstrating potent cancer cell killing. These results demonstrate the impact of excipient optimization on LNP performance and support B10 LNPs as a potent mRNA delivery platform for T cell engineering.

The various techniques and algorithms of ML & DL are becoming popular for prediction with different level of accuracy. This paper includes performance comparison of few machine learning algorithms in the reference of student social engagement during covid-19 pandemic period. In this study, the comparison of Naive Bayes, J48 tree, REPTree and Random forest algorithm is carried on structured dataset of 1200+ instance. In this paper, study proposes & scrutinizes commonly used social app & platform. Further, it compares them with the various ML approach. The objective of this study is to foreseeing the correlation between student social engagement for one the most popular social engagement platform during covid-19 pandemic. This paper focusses on accuracy, F-measure and time to summarize comparison result. The findings of the study and dynamic analysis indicate ML/Deep learning algorithm can lead better accuracy and other factor for preprocessed student social engagement dataset. The finding can predict engagement of students for most popular social media platform with performance comparison of ML algorithm.

In Today’s world technology covered major fields. The stock market from inception has given excellent returns over the years, but some impatience investor losing money because of volatile market. In stock market option derivatives are widely used tool for risk management in whole world. It is tool which provides right to trader to trade in particular assets. To get right trader has to pay premium while opt to an option contract. This premium is expanse for option buyer and return for option writer. The objective of the research is to derive profit making Strategies on nifty 50 in option derivatives by selling option. There are lots of techniques available to work in option segment for index and stock. Researcher has applied short strangle strategy in nifty 50 index. To evaluate strategy researcher has undergo with last 5-year Nifty index data and retrieved sure shot profit making techniques as a result set with different probability. Strategy also checked using 3 different data mining cluster algorithms like Expectation Maximization (EM), Simple K means and Farthest First were applied using WEKA. Research has also tried to find out different guidelines to minimize the loss if any.

Let $\mathcal{A}$ and $\mathcal{B}$ be commutative Banach algebras. Then a multiplicative linear functional $\theta$ on $\mathcal{B}$ induces a multiplication on the Cartesian product space $\mathcal{A}\times\mathcal{B}$ given by $(a,b)(c,d)=(ac+\theta(d)a+\theta(b)c,bd)$ for all $(a,b),(c,d)\in\mathcal{A}\times\mathcal{B}$ . We show that this Lau product is stable with respect to the spectral properties like the unique uniform norm property, the spectral extension property, the multiplicative Hahn–Banach property, and the unique semisimple norm property under certain conditions on $\theta$ .

Let $${\mathcal {A}}$$ and $${\mathcal {B}}$$ be commutative Banach algebras, and let $$T:{\mathcal {B}} \rightarrow {\mathcal {A}}$$ be an algebra homomorphism with $${\Vert T\Vert }\le 1$$ . Then T induces a Banach algebra product $$\times _T$$ perturbing the coordinatewise product on the Cartesian product space $${\mathcal {A}} \times {\mathcal {B}}$$ . We show that the spectral properties like spectral extension property, unique uniform norm property, regularity, weak regularity as well as Ditkin’s condition are stable with respect to this product.

In the current scenario to get a good business or visitors, your site should be in the list of top 10 in most of the search engines. And this is the time when you need to know about Search Engine Optimization (SEO). In last decade Content Management System (CMS) is widely acceptable for web development. In CMS open source has gain lot of popularity in last few years. There are over thousand open source CMS available in the market but when content management principals are concern two to three name like Joomla, Drupal and WodPress comes first. For SEO, one of the unsolved questions is, out of these three which provides good SEO? As there are lots of factors affect SEO still above CMS provide good insight into for SEO. We came across Steve Burge one of the researchers also worked in the same area, Steve Burge and their team has done SEO test on Joomla, Drupal and WordPress. And on the base of that data we have prepared statistics and try to get the result of best CMS for SEO. General Terms Open Source Content Management System

At Present there are lots of open source content management systems (CMS) available in the market. As open source CMS has its own advantages but out of so many only few like Joomla, Drupal, WordPress are popular in the market because of good functionality and support. It is the obvious question for everyone that, what are the basic reasons that only these CMS are mostly acceptable? Lots of surveys have been done to know which is the best and why? But still it is unanswered. By certain comparison on data we want to show that why mentioned CMS are best in their areas? We also want discover ranking for these three CMS that out of these which one is preferable in which condition. In this paper we are comparing above mentioned CMS by Goggle page rank, their documentation support, their popularity, installation survey and many more.

Objective of the present study was to develop hydrophilic polymer and hydrophobic polymer based matrix Losartan potassium sustained release tablet which can release the drug up to time of 24 hrs in predetermined rate. Formulation of Losartan potassium matrix tablet was prepared by the polymer combination in order to get required theoretical release profile. Influence of hydrophilic and hydrophobic polymer on Losartan potassium was studied. Formulated tablet were also characterized by physical and chemical parameters. In vitro release profile was check for 24 hrs to evaluate the SR matrix tablet of Losartan potassium. Losartan potassium (LP) is a potent, highly specific Angiotensin II type 1 (AT1) receptor antagonist with antihypertensive activity. It is readily absorbed from the gastrointestinal tract with oral bioavailability of about 33% and a plasma elimination half-life ranging from 1.5 to 2.5 hr. Administration of LP in a sustained release dosage would be more desirable for anti- hypertensive effects by maintaining the plasma concentrations of the drug well above the therapeutic concentration. From in vitro dissolution profile, Batch B4 was prepared with blend of HPMC K4M (67.2 mg), HPMC K200M(90mg) and Eudragit RSPO(112.5 mg), where drug release was about 94-98%. Batch B4 showed highest similarity factor values (f 2 = 67.76). KEYWORDS: Losartan potassium, HPMC K4M, HPMC K200M, Eudragit RSPO, Sustained release, Matrix tablets.

In the present time open source content management system (CMS) has gained a big market. Lots of varieties are available based on functionality and platform. As no CMS is best for everyone but when content management principles are concerned, two to three CMS names like Joomla, Drupal and WordPress stick in mind. These CMSs perform well in their preferred conditions. But if anyone wants informative types of website and doesn't require much functionality the question arises that out of these three CMSs which is to be preferred. As there are lot of surveys has been carried out in this area, we have tried to prove statistically by comparing their page performance criteria that which CMS is to be preferred. For doing the same we have created same pages in three CMSs to evaluate their page performance. To evaluate the page performance of these CMSs the pages had been hosted on local as well as live server. By requesting this page from client side different values of page performance criteria were recorded like page load time (PLT), page size (PS), number of request, number of CSS and JS files etc. while comparing all these parameters we could come to conclusion that which CMS should be used under what conditions.