Laser-based detection and depth estimation of dry and water-filled potholes: A geometric approach

In secondary Indian roads, one often encounters potholes which can be either dry or water-filled. Accordingly, to ensure safe driving, it is imperative to detect potholes and estimate their depths in either condition. In this paper, we develop a physics-based geometric framework, where such detection and depth-estimation can be accomplished using suitable laser. Specifically, we relate dry pothole depth to measured optical deviation using simple ray optics. Further, we use Snell's law of refraction to obtain a quartic equation, and its appropriate real root to relate water-filled pothole depth to the corresponding optical deviation. Here we take into account diminishing resolu- tion with increasing distance from the camera. We conclude by experimentally validating our method

A controlled clinical study on the efficacy of Khadira Churna Pratisarana with Madhu in management of Mukhapaka (Stomatitis) in Children

Mukhapaka in children is prevalent all over the world. It refers to an oral disease which occurs in two ways former one occures independently (Swantantrarogam) and latter occurs in association with (Anubandhirogam) other diseases like Grahani. It occurs due to Vit B12 deficiency, folate deficiency, leukemia, inflammatory bowel disease, stress, illness, dietary triggers. Nutritional deficiency etc. Mukhapaka is found in those with poor oral hygiene. In Mukhapaka Vata is moving through out the interior of mouth gives rise to ulcers which shift in different place of oral cavity. Dry makes lips coppery red. Tongue become intolerant to cold, feels heavy, cracked and feels as though full of thrones there is difficulty to open the mouth i.e. Mukhapaka. In present era, world is looking at Ayurveda with the hope that it is going to provide good asset to the treatment of ailing humanity. Sarvasaramukharogas are named as Mukhapaka, as it occurs by spreading completely in the Mukha. Mukharogas occurs due to intake of unwholesome food, curd, milk, fermented gruel, not cleaning the teeth daily, improper administration of inhalation, emesis, gargles and venesection etc

A Hypothesis for Explaining the Geographical Distribution of Crohn’s Disease

The etiology of Crohn’s disease (CD) remains unknown, although there is epidemiological evidence supporting an environmental influence. Recent molecular techniques, including polymerase chain reaction, have renewed interest in a possible etiological role of Mycobacterium paratuberculosis, which has been isolated from a number of CD patients. The organism causes a chronic enteritis in animals called paratuberculosis, a condition with many clinical and pathological similarities to CD. This review compares the epidemiology of paratuberculosis in animals with the epidemiology of CD in humans. There is considerable overlap of regions with high prevalences of paratuberculosis and CD. This finding adds support to the implication of M paratuberculosis in the etiology of CD

Discovery of Ranking Fraud for Mobile Apps

Ranking fraud within the mobile App market refers to deceitful or deceptive activities that have a purpose of bumping up the Apps within the quality list. Indeed, it becomes a lot of and a lot of frequent for App developers to use shady means that, like inflating their Apps’ sales or posting phony App ratings, to commit ranking fraud. Whereas the importance of preventing ranking fraud has been well known, there's restricted understanding and analysis during this space. to the current finish, during this paper, we offer a holistic read of ranking fraud and propose a ranking fraud detection system for mobile Apps. Specifically, we have a tendency to initial propose to accurately find the ranking fraud by mining the active periods, specifically leading sessions, of mobile Apps. Such leading sessions are often leveraged for sleuthing the native anomaly rather than international anomaly of App rankings. what is more, we have a tendency to investigate 3 kinds of evidences, i.e., ranking primarily based evidences, rating based evidences and review based evidences, by modeling Apps’ ranking, rating and review behaviors through applied math hypotheses tests

Study of hypoglycemic activity of Tinospora cordifolia in alloxan induced diabetic rabbits

Background: This study was designed to investigate the hypoglycemic effect of Tinospora Cordifolia in alloxan-induced diabetic rabbits.Methods: Rabbits were divided into four experimental groups: Non-diabetic rabbits treated with normal saline, Non-diabetic rabbits treated with TCREt, Diabetic rabbits treated with Metformin, Diabetic rabbits treated with TCREt. Treatment with drugs was started on the 8th day of alloxan treatment (i.e. day 1) and was continued for 30 days. Statistical evaluation was done using student’s ‘t’ test & one way ANOVA followed by Tuckey`s post hoc test. ‘p’ value less than 0.05 was considered statistically significant.Results: TCREt showed hypoglycemic action in alloxan induced diabetes rabbits. It did not produce hypoglycemia in non diabetic rabbits.Conclusion: Hypoglycemic action of TCREt is comparable to that of standard oral hypoglycemic drug metformin

Recent Applications of Liposomes in Ophthalmic Drug Delivery

Liposomal formulations were significantly explored over the last decade for the ophthalmic drug delivery applications. These formulations are mainly composed of phosphatidylcholine (PC) and other constituents such as cholesterol and lipid-conjugated hydrophilic polymers. Liposomes are biodegradable and biocompatible in nature. Current approaches for topical delivery of liposomes are focused on improving the corneal adhesion and permeation by incorporating various bioadhesive and penetration enhancing polymers. In the case of posterior segment disorders improvement in intravitreal half life and targeted drug delivery to the retina is achieved by liposomes. In this paper we have attempted to summarize the applications of liposomes in the field of ophthalmic drug delivery by citing numerous investigators over the last decade

An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics

For a decade, The Cancer Genome Atlas (TCGA) program collected clinicopathologic annotation data along with multi-platform molecular profiles of more than 11,000 human tumors across 33 different cancer types. TCGA clinical data contain key features representing the democratized nature of the data collection process. To ensure proper use of this large clinical dataset associated with genomic features, we developed a standardized dataset named the TCGA Pan-Cancer Clinical Data Resource (TCGA-CDR), which includes four major clinical outcome endpoints. In addition to detailing major challenges and statistical limitations encountered during the effort of integrating the acquired clinical data, we present a summary that includes endpoint usage recommendations for each cancer type. These TCGA-CDR findings appear to be consistent with cancer genomics studies independent of the TCGA effort and provide opportunities for investigating cancer biology using clinical correlates at an unprecedented scale. Analysis of clinicopathologic annotations for over 11,000 cancer patients in the TCGA program leads to the generation of TCGA Clinical Data Resource, which provides recommendations of clinical outcome endpoint usage for 33 cancer types

Pan-Cancer Analysis of lncRNA Regulation Supports Their Targeting of Cancer Genes in Each Tumor Context

Long noncoding RNAs (lncRNAs) are commonly dys-regulated in tumors, but only a handful are known toplay pathophysiological roles in cancer. We inferredlncRNAs that dysregulate cancer pathways, onco-genes, and tumor suppressors (cancer genes) bymodeling their effects on the activity of transcriptionfactors, RNA-binding proteins, and microRNAs in5,185 TCGA tumors and 1,019 ENCODE assays.Our predictions included hundreds of candidateonco- and tumor-suppressor lncRNAs (cancerlncRNAs) whose somatic alterations account for thedysregulation of dozens of cancer genes and path-ways in each of 14 tumor contexts. To demonstrateproof of concept, we showed that perturbations tar-geting OIP5-AS1 (an inferred tumor suppressor) andTUG1 and WT1-AS (inferred onco-lncRNAs) dysre-gulated cancer genes and altered proliferation ofbreast and gynecologic cancer cells. Our analysis in-dicates that, although most lncRNAs are dysregu-lated in a tumor-specific manner, some, includingOIP5-AS1, TUG1, NEAT1, MEG3, and TSIX, synergis-tically dysregulate cancer pathways in multiple tumorcontexts

Pan-cancer Alterations of the MYC Oncogene and Its Proximal Network across the Cancer Genome Atlas

Although theMYConcogene has been implicated incancer, a systematic assessment of alterations ofMYC, related transcription factors, and co-regulatoryproteins, forming the proximal MYC network (PMN),across human cancers is lacking. Using computa-tional approaches, we define genomic and proteo-mic features associated with MYC and the PMNacross the 33 cancers of The Cancer Genome Atlas.Pan-cancer, 28% of all samples had at least one ofthe MYC paralogs amplified. In contrast, the MYCantagonists MGA and MNT were the most frequentlymutated or deleted members, proposing a roleas tumor suppressors.MYCalterations were mutu-ally exclusive withPIK3CA,PTEN,APC,orBRAFalterations, suggesting that MYC is a distinct onco-genic driver. Expression analysis revealed MYC-associated pathways in tumor subtypes, such asimmune response and growth factor signaling; chro-matin, translation, and DNA replication/repair wereconserved pan-cancer. This analysis reveals insightsinto MYC biology and is a reference for biomarkersand therapeutics for cancers with alterations ofMYC or the PMN