Big Data Mining and Semantic Technologies: Challenges and Opportunities

Big data a term coined due to the explosion in the quantity and diversity of high frequency digital data which is having a potential for valuable insights has drawn the most attention in the area of research and development. Converting big data to actionable insights requires depth understanding of big data, its characteristics, challenges and current technological trends. A rise of big data is changing the existing data storage, management, processing and analytical mechanisms and leads to the new architecture/ecosystems to handle big data applications. This paper covers finding of our research study about big data characteristic, various types of analysis associated with it and basic big data types. First, we are presenting the big data study from data mining and analysis perspective and discuss the challenges and next, we present the result of research study on meaningful use of big data in the context of semantic technologies. Moreover, we discuss various case studies related to social media analysis and recent development trends to identify potential research directions for big data with semantic technologies. DOI: 10.17762/ijritcc2321-8169.150711

The convergence of budding reckoning Soft computing technologies

Soft Computing methodologies represents the amalgamation of promising problem - solving technologies such as Neural Networks (NNs), Fuzzy Logic (FL), Probabilistic Reasoning (PR) and Genetic Algorithms (GAs) . We present a collection of tools and methods that can be used to perform diagnostics, estimation, and control. These tools are an enormous match for real - world applications that are characterized by imprecise, uncertain data and incomplete domain knowledge. Each of these technologies offer us with complementary reasoning and sear ching methods to solve complex problems. In this paper after a brief description of each of these technologies, we will analyze some of their most useful combinations, such as the use of FL to control GAs and NNs parameters; the application of GAs to evolv e NNs or to tune FL controllers; and the implementation of FL controllers as NNs tuned by back propagation - type algorithms . We summarize the recompense of SC techniques and in particular the synergy derived from the use of hybrid SC system

The Effects Of Hydro- Ethanolic Extract Of Euphorbia Hirta Leaves Extract On Hemato-Biochemical Changes In Cigarette Smoke-Exposed Rats

Cigarette smoke is a source of free radicals that cause health problems throughout the world. The study aimed to determine the effects of hydro- ethanolic extract of Euphorbia hirta leaves extract (EHLE) on hemato-biochemical changes in cigarette smoke exposed (CSE) rats. The study using 24 male Wistar rats consisted of Control (not exposed to cigarette smoke and given distilled water), group II Diseased group (cigarette smoke and given distilled water), group III treated group (Cigarette smoke and Euphorbia hirta leaves extract 200 mg/kg BW) and group IV plant alone (Euphorbia hirta leaves extract 200 mg/kg BW alone). Exposure to cigarette smoke and administration of extracts was carried out for 12 weeks. End of the experimental period, the rats were euthanized and dissected to collect the blood for hemato-biochemical studies. The results of the study showed that treatment with Euphorbia hirta leaves extract to CSE rats restored the hematological parameters, liver and kidney markers

Primary intraocular lymphoma.

Primary intraocular lymphoma (PIOL) is an ocular malignancy that is a subset of primary central system lymphoma (PCNSL). Approximately one-third of PIOL patients will have concurrent PCNSL at presentation, and 42-92% will develop PCNSL within a mean of 8-29 months. Although rare, the incidence has been rising in both immunocompromised and immunocompetent populations. The majority of PIOL is diffuse large B-cell lymphoma, though rare T-cell variants are described. Recently, PIOL has been classified by main site of involvement in the eye, with vitreoretinal lymphoma as the most common type of ocular lymphoma related to PCNSL. Diagnosis remains challenging for ophthalmologists and pathologists. PIOL can masquerade as noninfectious or infectious uveitis, white dot syndromes, or occasionally as other neoplasms such as metastatic cancers. Laboratory diagnosis by cytology has been much aided by the use of immunocytochemistry, flow cytometry, biochemical finding of interleukin changes (IL10:IL6 ratio > 1), and cellular microdissection with polymerase chain reaction amplification for clonality. Use of several tests improves the diagnostic yield. Approaches to treatment have centered on systemic methotrexate-based chemotherapy, often with cytarabine (Ara-C) and radiotherapy. Use of intravitreal chemotherapy with methotrexate (0.4 mg/0.1 mL) is promising in controlling ocular disease, and intravitreal rituximab (anti-CD20 monoclonal antibody) has also been tried. Despite these advances, prognosis remains poor

Giant Cell Arteritis and COVID-19: Similarities and Discriminators. A Systematic Literature Review

OBJECTIVE: To identify shared and distinct features of giant cell arteritis (GCA) and Coronavirus disease 2019 (COVID-19) to reduce diagnostic error that could cause delays in correct treatment. METHODS: Two systematic literature reviews determined the frequency of clinical features of GCA and COVID-19 in published reports. Frequencies in each disease were summarised using median and range. RESULTS: Headache was common in GCA but was also observed in COVID-19 (66% for GCA, 10% for COVID-19). Jaw claudication or visual loss (43% and 26% in GCA, respectively) were not reported in COVID-19. Both diseases featured fatigue (38% for GCA, 43% for COVID-19) and elevated inflammatory markers (CRP elevated in 100% of GCA, 66% of COVID-19), but platelet count was elevated in 47% of GCA but 4% of COVID-19. Cough and fever were commonly reported in COVID-19 and less frequently in GCA (cough, 63% for COVID-19 versus 12% for GCA; fever, 83% for COVID-19 versus 27% for GCA). Gastrointestinal upset was occasionally reported in COVID-19 (8%), rarely in GCA (4%). Lymphopenia was more common in COVID-19 than GCA (53% in COVID-19, 2% in GCA). Alteration of smell and taste been described in GCA but their frequency is unclear. CONCLUSION: Overlapping features of GCA and COVID-19 include headache, fever, elevated CRP and cough. Jaw claudication, visual loss, platelet count and lymphocyte count may be more discriminatory. Physicians should be aware of the possibility of diagnostic confusion. We have designed a simple checklist to aid evidence-based evaluation of patients with suspected GCA

The new paradigm of hepatitis C therapy: integration of oral therapies into best practices.

Emerging data indicate that all-oral antiviral treatments for chronic hepatitis C virus (HCV) will become a reality in the near future. In replacing interferon-based therapies, all-oral regimens are expected to be more tolerable, more effective, shorter in duration and simpler to administer. Coinciding with new treatment options are novel methodologies for disease screening and staging, which create the possibility of more timely care and treatment. Assessments of histologic damage typically are performed using liver biopsy, yet noninvasive assessments of histologic damage have become the norm in some European countries and are becoming more widespread in the United States. Also in place are new Centers for Disease Control and Prevention (CDC) initiatives to simplify testing, improve provider and patient awareness and expand recommendations for HCV screening beyond risk-based strategies. Issued in 2012, the CDC recommendations aim to increase HCV testing among those with the greatest HCV burden in the United States by recommending one-time testing for all persons born during 1945-1965. In 2013, the United States Preventive Services Task Force adopted similar recommendations for risk-based and birth-cohort-based testing. Taken together, the developments in screening, diagnosis and treatment will likely increase demand for therapy and stimulate a shift in delivery of care related to chronic HCV, with increased involvement of primary care and infectious disease specialists. Yet even in this new era of therapy, barriers to curing patients of HCV will exist. Overcoming such barriers will require novel, integrative strategies and investment of resources at local, regional and national levels

DISPATCH: An Optimally-Competitive Algorithm for Maximum Online Perfect Bipartite Matching with i.i.d. Arrivals

This work presents an optimally-competitive algorithm for the problem of maximum weighted online perfect bipartite matching with i.i.d. arrivals. In this problem, we are given a known set of workers, a distribution over job types, and non-negative utility weights for each pair of worker and job types. At each time step, a job is drawn i.i.d. from the distribution over job types. Upon arrival, the job must be irrevocably assigned to a worker and cannot be dropped. The goal is to maximize the expected sum of utilities after all jobs are assigned. We introduce DISPATCH, a 0.5-competitive, randomized algorithm. We also prove that 0.5-competitive is the best possible. DISPATCH first selects a "preferred worker" and assigns the job to this worker if it is available. The preferred worker is determined based on an optimal solution to a fractional transportation problem. If the preferred worker is not available, DISPATCH randomly selects a worker from the available workers. We show that DISPATCH maintains a uniform distribution over the workers even when the distribution over the job types is non-uniform

Data Analysis as an Online Tool

The emergence of Data analysis and Internet of Things (IOT) has now established a foundation for representing and storing data from domains ranging from smart devices to smart cities. The data collected using sensor from IOT has been made available to the public and has helped a huge number of consumers of data to utilize such data sets for several applications starting from scientific experimentation and modulation to improving commercial activity forbusinesses.Following this has resulted in the requirement for the developing data analysis tools that ease the use for customers and allocating the most constructive tools for a problemstatement.To this end, we attempt to introduce data analysis tool as a web service, which empowers the consumer to make a simple HTTP request for processing data over the internet. Hence, by developing such tools as a web service, we signify the prospective of such a system to support both the progressive and beginner level of data consumer. Further, this work provides an example of the suggested tool on data available publicly, extracted from the day to day trafficdata.Data analysis has reformed the collection of data from day to day real life activities, hence validating a bunch of new web technologies introduced to as smart objects toappear.These objects can be utilized to improve consumer’s experience when initiating an interaction with a service. Certainly, a fixed example of huge IoT systems with authorization to enormous quantities of budding useful Data for data consumers is smart cities with traffic analysis

An overview of conservative treatment options for diabetic Charcot foot neuroarthropathy

Conservative management of Charcot foot neuroarthropathy remains efficacious for certain clinical scenarios. Treatment of the patient should take into account the stage of the Charcot neuroarthopathy, site(s) of involvement, presence or absence of ulceration, presence or absence of infection, overall medical status, and level of compliance. The authors present an overview of evidence-based non-operative treatment for diabetic Charcot neuroarthropathy with an emphasis on the most recent developments in therapy