Thermal Model Description of p--Pb Collisions at sNN\sqrt{s_{NN}} = 5.02 TeV

The ALICE data on light flavor hadron production obtained in $p-Pb$ collisions at $\sqrt{s_{NN}}$ = 5.02 TeV are studied in the thermal model using the canonical approach with exact strangeness conservation. The chemical freeze-out temperature is independent of centrality except for the lowest multiplicity bin, with values close to 160 MeV but consistent with those obtained in $Pb-Pb$ collisions at $\sqrt{s_{NN}}$ = 2.76 TeV. The value of the strangeness non-equilibrium factor $\gamma_s$ is slowly increasing with multiplicity from 0.9 to 0.96, i.e. it is always very close to full chemical equilibrium.Comment: 10 pages, 12 figure

Progressive Trends of Childhood Immunization in Rajasthan: A study based on the NFHS database

Any public health program's efficacy may be evaluated solely based on the available statistics. A program's ability to be tracked relies heavily on data. There are several systems in place in India for gathering data on the health of individual states and the country as a whole. The National Family Health Survey (NFHS) is one of these mechanisms. Children's vaccination status is one of the many data points collected by the National Health Interview Study (NFIS), a representative sample survey. NFHS is commonly used to evaluate and monitor the progress of any health program in the country, therefore, to sum it up: According to Rajasthan's NFHS-4 and NFHS-5 reports, there has been a significant increase in the state's coverage status. Despite the difficulties and the closure of the corona, this research will investigate the data that has demonstrated extraordinary rises and the causes that have made it possible or the huge efforts by the state government

Accordion Effect During Percutaneous Coronary Intervention (Pci)

Pseudo lesions appear in a coronary artery during intervention due to guide wire manipulation are referred as “accordion phenomenon” and are infrequent occurrences during percutaneous coronary intervention of tortuous coronary arteries. Occurrence of pseudo lesion or accordion phenomena puts a diagnostic challenge to the interventionist and might leads to unnecessary intervention. The differential diagnosis includes coronary dissection, thrombus and its spasm. Ischemia & hemodynamic compromise are possible complications. The common method to overcome this situation is pulling the guide wire out of the affected segments and leaving aside only the floppy segment. Pseudo lesion at times response to intracoronary nitro-glycerine however, sometimes they are refractory. We hereby report a case of Accordion phenomenon during PCI of right coronary artery & technical challenges it imposed on

Photonics for AI and AI for Photonics: Material and Characteristics Integration

We are living in the technological era, where everything is integrated with each other. If we are discussing regarding communication, it is integrated with one or two technologies. If we are discussing regarding automation, discussing regarding Image processing, discussing regarding embedded system, they all are integrated with a combination of technologies. Correspondingly Artificial Intelligence (AI) and Photonics are also integrated with each other. Now a day as AI is utilizing with photonics in abundant fields as well photonics is also serving AI to facilitate ultrafast AI networks to offer a novel class of Information Processing Machines (IPM). This chapter is based on identification and implementation of photonics for AI utility and AI for photonics. In this category a Dual core Photonics crystal fiber (PCF) is proposed which serve to identify infected cells of human being along with the integration of AI. This proposed design of PCF is providing relative sensitivity and confinement loss in an optimized manner with the impact of AI. Here potency of AI as well as of Photonics is explained to serve their applications related to each other

Comparative Study of Artificial Neural Network based Classification for Liver Patient

The extensive accessibility of new computational methods and tools for data analysis and predictive modeling requires medical informatics researchers and practitioners to steadily select the most appropriate strategy to cope with clinical prediction problems. Data mining offers methodological and technical solutions to deal with the analysis of medical data and construction of prediction models. Patients with Liver disease have been continuously increasing because of excessive consumption of alcohol, inhale of harmful gases, intake of contaminated food, pickles and drugs. Therefore, in this study, Liver patient data is considered and evaluated by univariate analysis and a feature selection method for predicator attributes determination. Further comparative study of artificial neural network based predictive models such as BP, RBF, SOM, SVM are provided. Keywords: Medical Informatics, Classification, Liver Data, Artificial Neural Networ

Artificial Neural Network Model for the Road Network Optimization

Road network is a key factor of economic, social and every other form of development in the region and the state itself. In this paper, an artificial neural network (ANN) model for the road network management (RNM is introduced. The RNM transformed into ANN, thus it is treated as a problem and this is the centre of the further study. The problem of RNM is proportional to ANN in this paper. ANN is the best tool to provide a multilevel solution with justification. Keywords: Artificial Neural Network, Road Network Managemen