Miracle-dz/UniFAR-FTUs huggingface dataset:
An improved Approach for identifying Carotid Artery in CT Images using Canny Edge Detection Segmentation

--The carotid arteries are large blood vessels in the throat, which supply blood to the brain, neck and face. The left common carotid arises directly from the aorta. The right common carotid arises from the brachiocephalic artery, which again comes from the aorta. The carotid sinus, or carotid lamp, is an extension of a carotid artery at its main branch point. The carotid sinus contains sensors that help regulate the blood pressure. In the traditional method, a three-dimensionally coupled optimal surface graphical cutting algorithm to the wall of the carotid artery branch of magnetic resonance (MR) images segment. The method combines the search for inner and outer boundaries into a single graph plot and uses cost functions that integrate information from multiple sequences. This requires a manual localization of only three seed points, which indicate the start and end point of the segmentation in the internal, external and common carotid artery. Graphics-based methods have been used for the segmentation of different types of ships on multiple imaging techniques with promising results. In a novel approach, the segmentation of the spine image with median filter and canny edge detection algorithm between scan spines disc image. Canny edge detection algorithm segment of the entire carotid artery wall branching on CT images with minimal user interaction. This method guarantees a global minimization of a cost function which ensures a smooth surface and topological boundary conditions between the surfaces. The result shows that the canny edge recognition algorithm has achieved a better result when a different edge detection algorithm is compared. In order to find absolute edges from noisy images, the comparison result can be verified and validated with the medical standard values. The image is segmented using the morphological operation to identify the correct structure of the carotid artery. The result shows that the canny edge recognition algorithm works well and creates a solution that is very close to the optimal solution.
BC1_OA_Rohin 1

Background: Essential hypertension is considered one of the major risk factors for morbidity and mortality in modern civilized life. Because of the involvement of ions in contraction of excitable tissues like vascular smooth muscles and myocardium, alteration in the cation transport across cell membrane plays a pivotal role in the pathogenesis of essential hypertension. The aim of this study was to assess the effect of β blocker, atenolol and ACE inhibitor, enalapril on the concentration of serum sodium, potassium and calcium in pre and postmenopausal hypertensive women as compared to normotensive women. Methods: The study was conducted in the medicine department of the institution. For the study, selection of 30 pre and 30 postmenopausal women patients with mild to moderate essential hypertension and 60 normal controls for both the groups was done. The age group of premenopausal hypertensive women was 30-50 years and for postmenopausal hypertensive women it was 50-70 years. Venous blood sample was withdrawn from the study groups and serum was used for estimation of serum sodium, potassium and calcium. ‘Systronic’ flame photometer was used for estimation of serum sodium and potassium. Results: A significant decrease in the blood pressure of patients treated with both atenolol and enalapril was observed in groups of pre and postmenopausal women with essential hypertension. Significant variations were seen in the concentrations of serum sodium, potassium and calcium (p<0.01) in pre and postmenopausal women with essential hypertension as compared to normal control. We observed significant decrease in the level of serum potassium, calcium and parallel increase in the level of serum sodium in the study subjects before treatment. In postmenopausal essential hypertensive patients, decrease in serum calcium was not found. Conclusion: The effect of β blocker, atenolol on the electrolyte balance shows that it lowers blood pressure by decreasing plasma renin activity. Status of renin in patient may be a marker for the responsiveness to β adrenoreceptor blocker, atenolol. Adenylatecyclase system is also activated in case of atenolol which leads to relaxation.
Left Bundle Branch Block Chest Pain Conundrum

Left bundle branch block is a pattern of altered ventricular depolarization and subsequently affects repolarization. These obscure patterns can affect the traditional ST segment shift criteria for the electrocardiographic detection of coronary insufficiency syndromes. Previously, patients with coronary ischemic pain and LBBB judged to be “new” (not previously documented) were considered to have ST elevation myocardial infarction (STEMI) warranting acute thrombolytic therapy. Current STEMI management favors emergent invasive angiography; however, recent data suggests the prevalence of coronary obstructive pathology may be as low as 50%. The application of more specific, less-sensitive Sgarbossa electrocardiographic criteria may reduce angiographic assessment in an otherwise high-risk population unlikely to tolerate further myocardial injury. We present a case that may facilitate a more nuanced EKG-based approach to distinguish those who may benefit from acute invasive angiography while reducing the frequency of unnecessary angiographic evaluation.
Seclusion Preserving Ranked Multi-Keyword Investigate for Manifold Records in Cloud Computing

: Observing the view of cloud computing, it has become augmenting popular for data owners to outside supplier their information to public cloud servers while allowing data users to regain this data. To relate to seclusion, safe searches over encrypted cloud data have provoke more research works under the sole owner model. However, most cloud servers in practice do not just Serve unique owner; instead, they support multiple owners to share the benefits brought by cloud computing. In this paper, we suggest -To keep safe the secrecy and several owner model search several keywords and Ranked. To make possible cloud servers to execute safe to look omission knowing the real information of both keywords and trapdoors, To keep alive the privacy of related scores between keywords and files and rank the search result, we suggest a novel Additive Order and Privacy Preserving Function family and dynamic hidden key creation rule and a new data user to establish as genuine rule.
Anthelmintic Activity of Citrus medica L. leaves in Indian Adult Earthworm

Citrus medica L. popularly known as ‘Bara nimbu’ in India belongs to family Rutaceae. The objective of the present work was to evaluate the in-vitro anthelmintic potency of the petroleum ether extract of Citrus medica leaves using Indian earthworms (Pheretima posthumad). The various concentrations (20-80 mg/ml) of the petroleum ether extract were tested in-vitro for anthelmintic potency by determination of time of paralysis and time of death of worm. Piperazine citrate (15mg/ml) used as standard. The result of present study indicates that the Citrus medica L. potentiate to paralyze earthworm and also caused its death after some time. The shortest time of paralysis and time of death was observed at higher dose (80 mg/ml) of petroleum ether extract was found to 30.86 min. Thus, the present study demonstrate that the Citrus medica . L as an anthelmintic has been confirm as the petroleum ether extracts of leaves displayed activity against the earthworm used in study. KeywordsCitrus medica, Paralysis, death of earthworm. Introduction Helminthiasis or infections with parasitic worms are pathogenic for human beings. Immature forms of the parasites invade human beings via the skin or gastrointestinal tract (GIT) and evolve into well differentiated adult worms that have characteristic tissue distribution. Anthelminthics are drugs that may act locally to expel worms from the GIT or systemically to eradicate adult helminthes or development forms that invade organs and tissues. Most of the existing anthelminthics produces side effects such as abdominal pain, loss of appetite, nausea, vomiting, head ache and diarrhoea. Chemotherapy is the only treatment and effective tool to cure and control helminth infection, as effective vaccines against helminths have not been developed so far. Indiscriminate use of synthetic anthelmintics can lead to resistance of parasites. Herbal drugs have been in use since ancient times for the treatment of parasitic diseases in human and could be of value in preventing the development of resistance. Citrus medica L. , commonly known as citron, is a small tree, having large fruit (20-22.5 cm. long) resembling pineapple in shape. It is reported that C. medica essential oil showed fungitoxicity against some fungi. C. medica is relevant to treatment of diabetes and alzheimer's disease. 5 The Citrus medica L. also have an antiinflammatory, antihistamine and diuretic action and can cause dilatation of the coronaries. Twenty-seven and twenty nine components were identified in the leaf and peel oils, respectively. Limonene was the major constituent in the oil of leaf and peel. Traditionally, Citrus medica L.claim as anthelmintic but scientifically it is not reveled still thus the present study was design to evaluate the in-vitro anthelmintic activity of petroleum ether extract of Citrus medica L. leaves.
CM3_OA_Rahul Ane EDIT

Background: Good governance, transparency and accountability have become the mantra of development, and consequently more attention is given to strengthening evidence-based decision-making and information systems. The launching of a national portal-based Health Management Information Systems (HMIS) by Government of India in 2008 was a bold and innovative step in this regard. Poor data quality can take many shapes; not just incorrect figures, but a lack of completeness or the data being too old (for meaningful use). Methods: This study design is a case study method. In this study realistic evaluation approach and employs case study design was used. The case here is of HMIS for Reproductive and Child Health programme within a district in Central Maharashtra. Multistage sampling was used to identify facilities covering all levels of health facilities. The case is a single case without a comparator. The district is being considered as a single unit for the case study. Results: Data quality mainly comprises completeness, correctness and timeliness. Data quality is multidimensional, and involves data management, modeling and analysis, quality control and assurance, storage and presentation. Inadequate or deficient validation check will lead to loss or compromised data accuracy and quality. Hence the correctness of data is lost. It will lead to ill informed decisions. Hence extra efforts, investments and recurrent costs are definitely required to ensure data quality in the district and facilities. Conclusion: Every action in the health system is translated into data. Thus, there is a lot of volume of data that is generated everyday. The current systems neither tackle volume nor increase the value of the information. There is a need to move from volume to value.
COMPARING THE PERSONAL ORAL HYGIENE PRACTICES AMONG GOVERNMENT AND PRIVATE SCHOOL CHILDREN OF MAHABUBNAGAR, TELANGANA STATE - A CROSS SECTIONAL STUDY

Kola. Srikanth Reddy, N. Venugopal Reddy, M. Ajay Reddy, P. Niharika, V. Daneswari Department of Pedodontics & Preventive Dentistry, Mamata Dental College & Hospital, Telangana, India Correspondence to: Dr. Kola. Srikanth Reddy, Department of Pedodontics & Preventive Dentistry, Mamata Dental College & Hospital, Khammam, Telangana, India. E-mail: kolasrikanthreddy@gmail.com Received – 31 January 2018 Initial Review – 23 February 2018 Published Online – 18 March 2018
Secrecy Maintenance Public Auditing towards Regenerating-Code supported Cloud Storage

- The cloud storage stores outsourced data and to be protected against corruptions. To preserves this outsourced data against error it becomes critical to add fault tolerance along with failure reparation and integrity checking of data to cloud storage. Newly regenerating codes because of its lower repair bandwidth have acquired popularity which also provides fault tolerance. The existing method for regenerating-codes that is remote checking methods which provides only private auditing, which in turn wants owners of data to remain online for indefinite time and manage auditing in addition to repairing, which is not practical on certain cases. In this project, in cloud storage for regenerating-code the public auditing scheme is proposed. To find answer to the failed authenticator’s regeneration problem in the non-existence of owners of the data, we introduce an authorized agent within the conventional public auditing system pattern, this authorized agent is used to regenerate the authenticators. Further we intend a new authenticator for public verification, which is given by a pair of keys and by utilizing partial keys it can be regenerated. In this way, our plan of action can altogether makes the owners of data free from online load. Along with this, to protect data privacy the encode co-efficient is randomized with a function of pseudorandom. Our scheme or strategy is highly organized and perhaps composed into the codes regeneration which is based on cloud storage this can be indicated by experimental evaluation and a large or wide security study disclose that any scheme is turn out to be secure under random oracle model.
Effects of Dietary Fats on Plasma Cholesterol in Humans

Coronary heart diseases (CHD) is a multifactorial disease which is responsible for more than half a million deaths every year in the United States (Consensus Conference, 1985). Among the risk factors implicated in the genesis of CHD, hypercholesterolemia is a primary one. (Stamler et al., 1986). Epidemiological, clinical, and anatomo-pathological studies (Keys, 1970; Stamler et al., 1986; Solber et al., 1983) have demonstrated that the risk for CHD rapidly increases when the plasma concentration of cholesterol exceeds the value of 200 mgidl. The Framingham study (Kannel et al., 1971) has provided the demonstration that the risk for CHD increases in measure of 2% for every 1% increase in plasma cholesterol. As further evidence, the Lipid Research Clinic trial (Lipid Research Clinic Program, 1971) has shown a 2% decrease in the CHD risk for every 1 Ol0 decrease in plasma cholesterol levels. The tremendous consistency of this scientific data has led to the general conviction that lowering plasma cholesterol is one of the fundamental therapeutic interventions in order to decrease the incidence of CHD in the population. Elevations in plasma cholesterol are caused by dietary and genetic factors (Brown et al., 1981). Although diet alone is responsible for the mild forms of hypercholesterolemia, with plasma cholesterol values generally ranging between 200 and 250 mgidl, it must be pointed out that the normalization of these levels is extremely important for the prevention of CHD (Grundy, 1986). Furthermore, dietary treatment is also complementary for the therapy of moderate and severe hypercholesterolemias, in which the use of drugs is generally required. Dietary cholesterol and fats are the agents through which the nutritional pattern affects the levels and the changes in plasma cholesterol. The real impact of dietary cholesterol on plasma cholesterol is still the object of controversy. Keys and co-workers (Keys et ai., 1965) have asserted that the change in plasma cholesterol should be equal to the square root of the content in the diet. However, a certain degree of variability has been observed in the individual response to dietary
Fuzzy Based Skin Detection and Segmentation

— Skin detection being one of the most crucial tasks in image processing applications, is targeted in this work with special emphasis on fuzzy based skin detection and segmentation techniques. Using weka tool, this paper provides the performance evaluation of two well-known fuzzy based skin detection techniques, fuzzy inference system and Modified Fuzzy C-Mean algorithm (MFCM) on a standard dataset. For the inference system we used the Fuzzy Unordered Rule Induction Algorithm (FURIA) implementation, and Brute Force Search Algorithm implementation for the Modified Fuzzy C-Means algorithm. Based on the experimental results, fuzzy inference algorithm provides 80.4633 % of correct classification for skin pixels and MFCM has 85.2316 % of accuracy in identifying the skin pixels.
Feature Selection with Centre of Gravity Method using Ant Colony Optimization

The high dimensional dataset with irrelevant, redundant and noisy features has much influence on the performance of machine learning problems. In this work, an existing Ant Colony Optimization (ACO) based feature selection algorithm is modified by attaching a dimensionality reduction method as a data pre-processing step. This is achieved by introducing the concept of Centre of Gravity (CoG) of a set of points. After reducing the dimension, the ACO algorithm is used to generate the optimal subset of features. The performance of the proposed algorithm is evaluated using Artificial Neural Network (ANN) classifier. The performance comparison using various dataset shows that the proposed method outperforms the existing ACO based feature selection methods
A Survey on Role of Ethernet in Vehicles Advanced Technologies

: Automotive industries are areas which is expanding rapidly with an increasing new applications such as safety, driver assistance, infotainment devices, and safety in new vehicles. Currently vehicles use number of different protocols such as CAN, Flex ray to integrate these applications into the vehicle. The introduction of these protocols doesn’t satisfy the high-bandwidth requirements which are required by the upcoming applications within the vehicle. In this paper we get idea of different topologies of Ethernet in Vehicle network and also the Ethernet frame format. This paper presents a overview of applications of using Ethernet the most popular LAN technology in computer networks in vehicles to overcome high bandwidth problem. In this paper, we explore the idea of replacing the current vehicular network with standard switched Ethernet, the most popular LAN technology in computer networks at very low cost.
Internet Addiction and Mental Health Prediction Using Ensemble Learning Based on Web Browsing History

The widespread prevalence of Web browsing may lead to Internet Addiction Disorder (IAD), which impacts negatively on Web users' general health. Young people who are very active online are prone to suffer from IAD. It negatively affects their academic performance and social lives. The earlier the detection, the better the treatment. Therefore, this pilot study aimed to predict IAD among the youth to encourage early treatment. The sample included 30 undergraduate students at Universitas Indonesia (UI). Their Web browsing histories for five weeks were recorded from their laptops and analyzed using the support vector machine (SVM) with radial basis function (RBF) kernel as a machine learning method for prediction. The results were subsequently compared using ensemble learning, such as random forest (RF) and gradient boosting (GB). It was then matched with respondents' responses to an Internet Addiction Test (IAT) questionnaire, which measures IAD levels. Respondents' general health data were collected with the 12-item General Health Questionnaire (GHQ-12). Features from Web browsing histories were extracted to classify activities in five types. These are information retrieval (IR), instant messaging (IM), social networking services (SNS), leisure, and online shopping (OS). The extracted features became input to classify participants' IAD. The results were compared with their IAD results from the IAT questionnaire. Machine learning was also employed to classify the input into respondents' general health (GH) status, which was matched with their responses to the GHQ-12 questionnaire. The findings revealed that the prediction accuracies were 66.67% for the IAD status and 65.17% for the GH status employing SVM. The precisions for predicting IAD and GH were 63.33% and 44.33%, according to RF. Moreover, the accuracies were 63.33% and 67.17%, according to GB. Results indicated that RF decreased prediction accuracies, but GB was slightly different from SVM. For each classifier, IAD status was predicted more accurately than GH status. An alternative to improve the outcomes is gaining data from the Internet firewall instead of the Web browsing history from users' laptops. It can provide richer and more realistic records of Web access, which are collected from any devices connected to the university's computer networks. However, it requires consent from the participants and authority managing the infrastructure. If each class has a balanced example, we plan to add more features and employ other types of ensemble learning for higher accuracy. Furthermore, performing a multiclass prediction can demonstrate specific IAD severity levels and the class of mental health status, i.e., anxiety and depression.
Updated BHIVA-BASHH Position Statement on PrEP in the UK

Recent results from clinical trials of PrEP have made it clear that this biomedical prevention tool could have a major impact on the HIV epidemic in the UK(1, 2). The intention of this updated Position Statement is to inform the UK healthcare workers on the role of antiretroviral preexposure prophylaxis (PrEP) in the setting of the UK epidemic, so that they can have an informed discussion with their patients.
Microbial Production of Vitamin B12 and Antimicrobial Activity of Glucose Utilizing Marine Derived Streptomyces Species

One of the most alluring and fascinating molecules in the world of science, food and medicine is vitamin B12 (cobalamin), which was originally discovered as the anti pernicious anemia factor. In current study, fifteen marine derived Streptomyces species were isolated from the marine sediment and identified by the morphology biochemical analysis. The batch fermentation process was used for the production of vitamin B12 at optimal conditions with specific fermentation medium. Among fifteen Streptomyces isolates, seven produced vitamin B12 and quantified its concentration range from 1. 9μg to 45.3μg per ml. Streptomyces rochei produced maximum amount of Vitamin B12 (45.3 μg per ml). Among the seven vitamin B12 produced Streptomyces species four used for the antibacterial activity and exhibited broad antagonistic spectrum against all tested selective human pathogenic bacteria. These activity measured by zone of inhibition (mm), by agar well diffusion method. Altogether, the results indicated that the natural marine environment is also good sources for isolation of novel varieties of antagonistic Streptomyces species and to produce Vitamin B12.
Analysis & Review Equalization & Channel Estimation for OFDM & CDMA

 Abstract — Multi-carrier code division multiple accesses (MCCDMA) has been considered as a strong candidate for next generation wireless communication system due to its excellent performance in multi-path fading channel and simple receiver structure. However, like all the multi-carrier transmission technologies such as OFDM, the inter-carrier interference (ICI) produced by the frequency offset between the transmitter and receiver local oscillators or by Doppler shift due to high mobility causes significant BER (bit error rate) performance degradation in MC-CDMA system. Many ICI cancellation methods such as windowing and frequency domain coding have been proposed in the literature to cancel ICI and improve the BER performance for multi-carrier transmission technologies. However, existing ICI cancellation methods do not cancel ICI entirely and the BER performance after ICI cancellation is still much worse than the BER performance of original system without ICI.