Performance of agriculture insurance schemes in India

Risk and Uncertainty,

Searching for an elusive charged Higgs at the Large Hadron Collider

We study the signals for a "fermiophobic" charged Higgs boson present in an extension of the standard model with an additional Higgs doublet and right handed neutrinos, responsible for generating Dirac-type neutrino masses. We study the pair production of the charged Higgs at the Large Hadron Collider (LHC), which can be relatively light and still allowed by experimental data. The charged Higgs decays dominantly into a $W$ boson and a very light neutral scalar present in the model, which decays invisibly and passes undetected. We find that the signal for such a charged Higgs is overwhelmed by the standard model background and will prove elusive at the 8 TeV run of the LHC. We present a cut-flow based analysis to pinpoint a search strategy at the 14 TeV run of the LHC which can achieve a signal significance of 5$\sigma$ for a given mass range of the charged Higgs.Comment: 23 pages, 19 figures, 3 table

Higgs decay into four charged leptons in the presence of dimension-six operators

We study the indirect effects of New Physics in the Higgs decay into four charged leptons, using an Effective Field Theory (EFT) approach to Higgs interactions. We evaluate the deviations induced by the EFT dimension-six operators in observables like partial decay width and various kinematic distributions, including angular observables, and compare them with the contribution of the full SM electroweak corrections. The calculation is implemented in an improved version of the event generator Hto4l, which can provide predictions in terms of different EFT-bases and is available for data analysis at the LHC. We also perform a phenomenological study in order to assess the benefits coming from the inclusion of differential information in the future analyses of very precise data which will be collected during the high luminosity phase of the LHC.Comment: 31 pages, 8 figures, 1 table. Version to appear on JHEP, expanded phenomenological section including an analysis for HL-LH

The Study and Efficacy of Conventional Machine Learning Strategies for Predicting Cardiovascular Disease

Regarding medical science, cardiovascular disease is the main cause of death. Testing patient samples for cardiac disease can save lives and lower mortality rates. During a subsequent visit, the right remedies should be outlined and prescribed. One of the most important factors in preemptive cardiac disease diagnosis is accuracy. Based on this factor, many research approaches were examined and compared. According to the analysis of these approaches, new procedures appear to be more advanced and reliable in detecting cardiac illness. A notation of the methods and their underlying themes and precision levels will be discussed. This paper surveys many models that use these methods and methodologies and evaluates their performance. Models created utilizing supervised learning methods, such as Support Vector Machines (SVM), K-Nearest Neighbour (KNN), Decision Trees (DT), Random Forest (RF), and Logistic Regression Units, are highly valued by researchers. For benchmark datasets like the Cleveland or Kaggle, the methodologies are derived from data mining, machine learning, deep learning, and other related techniques and technologies. The accuracy of the provided methods is graphically demonstrated

A Review of Thyroid Disorder Detection Using Medical Images

Thyroid is one of the largest endocrine gland. It is a small butterfly shaped gland which is located in the front portion of the neck.It is located just below the Adams apple. Thyroid gland produces hormones that help the body to control metabolism. There are various thyroid disorders.It includes Hyperthyroidism, Hypothyroidism, goiter and thyroid nodules (benign/malignant). is most commonly. Various modalities that are used to detect and classify abnormalities of the thyroid gland are Ultrasoundimaging,(ComputerTomography(CT), Magnetic Resonance Imaging(MRI). Computer Aided Diagnosis (CAD) help radiologists and doctors to increase the diagnosis accuracy, reduce biopsy ratio and save their time and effort. Thyroid medical images are utilized for the diagnosis process

Novel Protocol for Synthesis of O,O-Dialkyl Monothiophospharic Acid Sodium Salt

Preparation of O,O-dialkyl monothiophospharic acid sodium salt (DMP-SNa) by addition of sulphur selectively on phosphorous using organic base to form a salt of O,O-dialkyl monothiophospharic acid trialkyl amine salt which is soluble in the non-polar organic solvent and treated with alkali to form O,O-dialkyl monothiophospharic acid sodium salt (DAP-SNa). Trialkylamine becomes free and remains in the nonpolar solvents can be recycled. This synthesis method is effluent free. DOI: http://dx.doi.org/10.17807/orbital.v13i5.159

On the influence of spatial heterogeneity on an internal boundary layer at a short fetch

Surface layer meteorological data collected at a coastal site, at Vasco-Da-Gama (15°21′N, 73°51′E, 58.5m MSL) (13–18 July, 2002) with prevailing southwesterly surface winds are analyzed to study the characteristics of internal boundary layer at a short fetch using an instrumented tower (9 m). The spectral and turbulence characteristics of wind are compared with earlier measurements made at a comparatively homogeneous terrain and the standards available in literature. The study show the smaller eddies in the vertical velocity spectrum attains equilibrium with the underlying surface at a short fetch itself and follows spectral similarity. However, this is not followed by longitudinal and transverse velocity spectra under unstable as well as stable condition

Enhanced Searchable Public Key Cipher Text With Hidden Structures For Fast Keyword Search

Existing semantically secure public-key searchable coding schemes take search time linear with the overall variety of the cipher texts. This makes retrieval from large-scale databases preventative. To alleviate this drawback, this paper proposes Searchable Public-Key Cipher texts with Hidden Structures (SPCHS) for keyword search as quick as potential while not sacrificing linguistics security of the encrypted keywords. In SPCHS, all keyword-searchable Cipher texts area unit structured by hidden relations, and with the search trapdoor such as a keyword, the minimum info of the relations is disclosed to an enquiry rule because the steering to search out all matching Cipher texts expeditiously. We have a tendency to construct a SPCHS theme from scratch during which the Cipher texts have a hidden star-like structure. We have a tendency to prove our theme to be semantically secure within the Random Oracle (RO) model. The search quality of our theme relies on the particular variety of the Cipher texts containing the queried keyword, instead of the amount of all Cipher texts. Finally, we have a tendency to gift a generic SPCHS construction from anonymous identity-based coding and collision-free full-identity malleable Identity-Based Key Encapsulation Mechanism (IBKEM) with namelessness. We have a tendency to illustrate 2 collision-free full-identity malleable IBKEM instances, that area unit semantically secure and anonymous, severally, within the artificial language and customary models

Clinical profile and treatment outcome of patients with spontaneous pneumothorax

Background: The burden of Spontaneous Pneumothorax has been recorded as alarming health problem in medical sciences and is adversely influenced by environmental factors. Objectives of the study were to determine the incidence of spontaneous pneumothorax and to assess the clinical profile and outcome of patients of spontaneous pneumothorax admitted in Government tertiary health care centre.Methods: A hospital based cross-sectional study was conducted in year 2014-15 in the department of Pulmonary Medicine, Government Medical College, Miraj, Maharashtra, India. A total of 2142 patients were admitted with chest complaints during study period were enrolled as study subjects, of which 50 were diagnosed as spontaneous pneumothorax and treated as cases under study. The data were elicited by utilizing structured proforma includes clinical and outcome indicators of Spontaneous Pneumothorax. Qualitative information was computed in tabular and graphical form and analyzed into frequency percentage.Results: Incidence rate of Spontaneous Pneumothorax was 2.33% with higher proportion of cases were belonged male gender (78%) as compared to female (22%). Maximum cases were found in age group, 25-34 years with case ratio of 1:4 for Primary to secondary Spontaneous Pneumothorax. The most common lung disease in secondary spontaneous pneumothorax observed was tuberculosis. Max. 48% cases showed full expansion of lungs followed by 32% with partial expansion with an intervention of appropriate line of management.Conclusions: Tuberculosis is the common cause for secondary spontaneous pneumothorax in India and it should be looked for, in all cases of spontaneous pneumothorax