Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparative Study of Hypothyroidism with Cardiometabolic Risk

Hypothyroidism is a thyroid deficient state which shows its influence on other metabolic pathways whereas sub-clinical hypothyroidism (SCH) is a condition where there is decreased secretion of Thyroid Stimulating Hormone (TSH) with no significant clinical symptoms. Thyroid hormones (T3, T4 and TSH) play an effective role in various aspects of metabolism, development and differentiation of cells. In the present study which included 558 male subjects who came for regular health checkup, 68 (12.18%) were newly diagnosed as suffering from hypothyroidism and among them, 27 (4.83%) had altered lipid parameters. The presenting symptoms included unknown cause of fatigue and weight gain. The atherogenic lipid abnormalities in subjects with hypothyroidism in Indians should be interpreted with paramount importance as there is unexpected improvement or worsening of their lipid profile which may be influenced by abnormal thyroid hormone secretion. The altered lipid profile is seen in conditions where TSH is more than 10 mIU/ml which can result in increased risk of cardiac diseases and altered hemodynamic states. Alcoholism, smoking, sedentary life style, genetic predisposition and stress are added factors to earlier onset of SCH. The important aspects in management of thyroid diseases include the public health awareness, regular screening for the presence of dyslipedemia and thyroid function tests.
Processing Speed and Functional Outcome in Patients with Major Depressive Disorder

In this naturalistic cross-sectional study, the author tested the hypothesis that cognitive function, namely processing speed, would predict functional outcome in major depressive disorder. The subjects consisted of 37 clinic adult out-patients. The author found that, in the patients with current episode of major depressive disorder, functional outcome was significantly correlated with both Symbol Coding Task scores and depressive scores. Meanwhile, in remitted patients, functional outcome was significantly correlated with Symbol Coding Task scores, but not with depressive scores.The findings in this study suggested that enhancement of processing speed function may be useful to achieve normalization of functioning as an important component of remission in addition to symptomatic remission.
An Improvement of Scheduling Algorithm For Heterogeneous Hadoop Cluster Using Congestion Control Concept

: Hadoop is the open source software based on MapReduce Algorithm. It is a programming model implementation support big data processing. Currently Hadoop is implemented base on Homogeneous Cluster so the scalability becomes too serious problem. Although many people offer the solution of the Heterogeneous Cluster scheduler for task allocation with the most resource efficiency, the approach consider about I/O Monitoring and Network Utilization is important factor to consider about job scheduler because according to Amdahl’s law “The speedup of a program using multiple processors in parallel computing is limited by the time needed for the sequential fraction of the program”. Hadoop Default Scheduler has big problem about the job allocation because it is scheduler base on configurable and all node in the cluster will assign the equal job size. It works fine if the cluster is Homogeneous Cluster. It still have one of the feature call Back up task sometimes is not identify speculative task correctly. Researcher purpose Heterogeneous Hadoop Cluster Algorithm. Scheduler can self-scheduling rely on Network Utilization, Processing Time and I/O Utilization using the congestion control concept in TCP/IP Protocol after that we purpose the heuristic equal to identify appropriate block size assign for each node in each job. Scheduler can be adjust the job size dynamically so Algorithm can separate into 2 phase. First Part it use for initial cluster parameter to calculate job allocation. We use the congestion control concept to implementation after we finish we can identify how many size we can assign for each node between the processing. Second part when task is submitted to node. We implement the monitoring thread in the period of time for update the parameter cluster and we use update parameter to consider the target task need to have the backup task. The purpose of this algorithm reduces the processing time and resource efficiency in term of CPU processing and reduces useless back up task. We evaluation based on Word Count, Grep and Sorting. Compare with Default Scheduler Algorithm
Histological Analysis of Rabbit Lacrimal Gland in Response to Intraglandular Botulinum Toxin A Therapy

Background: Although surgical intervention is the therapeutic mainstay for epiphora secondary to nasolacrimal obstruction, offlabel injection of onabotulinumtoxinA (BTX-A) into the lacrimal gland has emerged as an effective, minimally invasive alternative. We investigated the structural and molecular changes within the lacrimal gland of the New Zealand White rabbit model, following intraglandular BTX-A injections. Methods: Experimental animal study. In a volume of 0.1 ml, 0.625-, 1.25-, or 2.5-units of BTX-A were injected into separate lacrimal glands under direct visualization. Lacrimal gland samples were obtained via surgical biopsies at 2and 4-week intervals. Negative (untreated) and positive control rabbits (treated with 0.1 ml of 0.9% sodium chloride) were established. Tissue analysis was performed via histopathology, immunohistochemistry, and electron microscopy. Results: At 2 and 4 weeks, mild intraglandular inflammation was noted in both lowand high-dose BTX-A treated lacrimal glands. Increased collagen and mild fibrosis were noted surrounding the acini, suggestive of minor gland destruction and regeneration. Electron microscopy demonstrated no distinct intracellular changes. Immunohistochemistry revealed upregulation of ATPase expression levels in the ducts, as well as upregulation of acinar and ductal AQP4 and AQP5 levels. Conclusions: Our preliminary data shows that BTX-A induces dose-dependent inflammation and structural remodeling within lacrimal gland tissue that may contribute to its clinical efficacy. The immunohistochemistry profile quantifies an increase in ductal ATPase levels and concomitant increase in ductal/acinar AQP4 and AQP5 expression, implying a possible change in glandular energy demands as well as an alteration of the aqueous flow patterns within the gland following injections with BTX-A.
Extraction of Context Information from Web Content Using Entity Linking

Summary We developed a system for extracting context information from microblogs, such as Twitter, using entity linking. A feature of Twitter is real-time. Our proposed system uses news articles to generate entity links since tweets are posted in real-time. It is difficult to extract context information from Twitter because the maximum length of a tweet is 140 characters. Therefore, we use both news articles and microblogs for entity linking. Entity links contain context entities. When our system extracts regional context, it uses entity links about geographical regions. The experimental results suggest that our proposed system can extract context entities based on Twitter users and news articles.
Overview of K-means and Expectation Maximization Algorithm for Document Clustering

Advances in data collection and storage capabilities during the past decades have led to an information overload in most sciences. Computer forensics is a new and fast growing field that involves carefully collecting and examining electronic evidence that not only assesses the damage to a computer as a result of an electronic attack, but also to recover lost information from such a system to prosecute a criminal. Nowadays the digital content involved in a crime is nowhere simple to read & infer. Its increasingly a labyrinth of data/files/folders, which needs to be analyzed, to get ahead into investigation & solving the crime cases worldwide. In light of this, the computer based document clustering, for the forensics analysis of digital content/data, is a very important tool/program. It reduces the much of manual effort & redundancy, & makes the resolution of crimes cases faster. The process of clustering is based on processing of multiple text files simultaneously. These text files may comprise very huge raw/text data, which needs to be converted into structured form in order to do further processing of crime analysis. Huge volumes of data need to be analyzed & this process may be slow if commercial and open source forensic tools are used. In early days, forensics was largely performed by computer proffesionals who worked with law enforcement on an ad-hoc, case-by-case basis. There are many algorithms suggested by various experts for the data analysis. A study of investigation work over the different document clustering methods for forensic analysis is used for this survey. In this paper, we are aiming to explain partitional algorithms namely – kmeans and its variant i.e., Expectation Maximization Algorithm.
Antibiotic stewardship in critical care

The development of effective antibiotics has been one of the most important advances in medicine, however it is clear that the rising tide of resistant organisms could threaten modern health care practices. The Chief Medical Officer’s 2011 annual report highlighted the global threat caused by antibiotic resistance and asked for organisations worldwide to take action. The Department of Health has shown its commitment with the introduction of a Five Year Antimicrobial Resistance Strategy. Key areas within the strategy include; improving the understanding and knowledge base of antimicrobial resistance, promoting infection control measures, and encouraging future development of new antibiotics and rapid diagnostic tools. In an era where few truly novel antibiotics are in development, strategies such as antibiotic stewardship may have a vital role in minimizing antimicrobial resistance.
Quantitative determination of iron and folic acid in Lactuca sativa (Lettuce) plant

Lettuce is one of the most widely used vegetable al l over the world. Millions of people all over the w orld especially women and children suffer from neural tube and othe r diseases as a result of iron and folic acid defic i n ies. The sole aim of this research therefore was to determin e the level of iron and folic acid in lettuce plant . High performance liquid chromatography (BLC-20) and spec trophotometry were used for the determination of fo lic acid and iron respectively. Results from the current stu dy suggest the level of folic acid to be 0.042 mg/L at 282nm and that of Iron 69.93 μg/g at 515nm. Women and childre n an indeed a great number of the Nigerian populati on is at risk of consequences attributable to deficiency of these important nutrients.
A topological model for worksite intelligent physical exercise training (IPET): Associated with life style health risk factors

Association and implementation of multi-dimensional Health campaigns in terms of physical activity has proven positive effects regarding optimization of relevant exercise and different training protocols. The aim of this paper sought to present a study protocol with a topological model for planning the optimal individually tailored physical exercise and training for each worker based on individual health check, existing guidelines and state of the art sports science training recommendations in the broad categories of cardio-respiratory fitness, muscle strength in specific body parts, and functional training including balance training. The hypotheses of this research based on multiple review are individually tailored worksite-based intelligent physical exercise training, IPET. A strength of this study is the rigid RCT design and the involvement of experts within occupational health as well as sports science.
ERP Success and Logistical Performance Indicators A Critical View:

This study extracts the literature based study on Critical Success Factors (CSF’s) in Enterprise Resource Planning (ERP) Implementation, focusing on Supply Chain (SC) Logistical Performance Indicators. The originality of this study is to make clear identification of CSF’s in term of ERP system implementation and the impact of Supply Chain Logistical Performance. A subsequent analysis highlights the gaps in the literature which was needed to be addressed. The key finding of the study is that the most of the observers, researches and management personnel’s have been involved in considering the CSF’s identification in general; hence no clear identifications exist for how much logistical performance is important for a manufacturing organization and up to which extent effective ERP system may include logistical features. While implementing ERP in an enterprise(s), it is found that there are obviously some factors in parallel with the promising features which need to be pointed out for successful implementation. A bulk of literature studies on ERP was reviewed and studied in depth, for CSF’s identification and framework for a sound and fortified implementation of ERP system. The assemblage of the CSF’s is being analyzed in specific terms of ERP implementation in developing countries and in term of logistical performance. This study reveals the relationship of an effective ERP system with logistical performance management.
Bankruptcy Prediction of Listed Corporations in Tehran Stock Exchange Using Data Mining Techniques

— Aims: This study aimed at predicting bankruptcy based on two data mining techniques, i.e. logistic regression and classification and regression tree (CART). Study design: This was an applied, descriptive-analytical, cross-sectional study. Place and Duration of Study: This research was carried out in Iran. Annual financial statements of companies in Tehran stock market (Iran) during 1999-2010 were evaluated. Methodology: No sampling was performed. In total, 98 successful companies and 71 bankrupt companies were included. In designing the models, financial ratios were considered as independent variables and successful and bankrupt companies were regarded as dependent variables. Results: According to the CART, the most important variables in predicting bankruptcy were return on assets, debt ratio, operating profit to total assets ratio, working capital to total assets ratio, and operating profit margin. The logistic regression model suggested return on assets, debt ratio, and operating profit to total assets ratio as predicting variables. The overall accuracy of prediction using the CART was 100% on training data and 92.8% on test data. The accuracy of regression model was 95.9%. Conclusion: Both models revealed return on assets, debt ratio, and operating profit to total assets ratio to be the most important variables in predicting bankruptcy. However, considering the area under the receiver operating characteristic (ROC) curve, the logistic regression model had better performance in predicting bankruptcy.
Secure Access Control Method in Cloud Environment Using Improved Attribute Based Encryption Technique

: Maintaining the user data on a proprietary nearby storage device becomes challenging task and the cloud-based storage addresses this issue possibly by storing them in a remote database through which user can access the files from anywhere. Cloud computing is on-demand computing, which provides various resources to the users, especially data storage and computing power, without the direct intervention of the user in the mode of pay per use. On moving to the Cloud storage, resources are shared but that hardware is likely being shared by other organizations too. The suspicion is due largely to the fact that the approach itself feels insecure, with user data deposited on servers and systems do not own or access control over the data. The data agreement may occur due to the intrusion of attackers in the cloud environment. Therefore, highly secure and dynamic access control methods are required to preserve and access the data in the cloud environment with minimal delay in network traffic. In this paper, the above security issues are addressed by fragmenting the user uploaded data and wrapping of fragmented data with the proposed Improved Attribute Based Encryption technique to accumulate at various locations. Preserving of cipher text at various points prevents the user uploaded data not been intervened by any intruders. Finally, the data located at the distinct point are retrieved with decryption technique and hence it scales down the network traffic occurred during the retrieval of user-uploaded data from the various point.
A Study of Prognosis and Outcome of Community Acquired Pneumonia in a Tertiary Care Centre

*Corresponding author A B S T R A C T A person suffered community acquired pneumonia if he develops symptoms of pneumonia outside the hospital or within 48 hours of admission. The most common cause of CAP is Streptococcus pneumonia. CAP can vary from indolent to fulminant in presentation and from mild to fatal in severity. The various signs and symptoms depend upon progression and severity of this infection. This study was performed on 50 patients between 17 - 75 with clinical symptoms suspected to be CAP for over a period of 2 years at the emergency and outpatient departments of General Medicine and Chest of D.Y Patil Hospital, Pimpri, Pune. Chest radiograph, Full blood count, ESR, Urea, Electrolytes, Liver function Tests, C reactive protein Test were performed for all patients. CAP was prominently seen in males and in above the age group of 50 years. CAP was found to be mainly unilobar and Staph aureus being the predominant organism isolated in the blood while in sputum it was Streptococcus pneumoniae. More number of patients showed systemic complications rather than local complications. Since the incidence of CAP is very high in our area and is more prominent in males rather that in females in the age group above 50 years, it is imperative that regular tests need to be dome for CAP in the community the keep this disease in check.
Secure automation of the Zambia Police Service business processes

:A lot of developing countries don’t have business process automation systemsfor security institutions. In this paper, we present a system designed for Zambia Police to automate their paper intensive processes. Beyond the automation process, some reports will be implemented for theirreporting needs. A baseline study was done to ascertain the levels of Information and Communications Technology (ICT) skills, security awareness and ICT tools utilization within Zambia Police Service. Results showed that 24% had received basic computer training, 39% use their personal email accounts for work communications and 36% use their personal devices to store work-related documents. The study also aimed to establish major business processes and identify the major security risks in the current workflows. A model was developed using the business process results. A web-based prototype that integrates fingerprint biometrics was developed using the model. The developed system showed improved business process through automation.
EFFECTS OF EXHAUST GAS RECIRCULATION ON EMISSION AND PERFORMANCE OF DIESEL ENGINES

The Exhaust Gas Recirculation (EGR) system is designed to reduce the amount of oxides of nitrogen (NOx) created by the engine during operating periods that usually result in high combustion temperatures. NOx is formed in high concentrations whenever combustion temperatures exceed about 2000K. Exhaust gas recirculation is a very effective technique to reduce NOx emission in diesel engine because it increases the CO2 concentration in combustion chamber which increases the heat capacity of the intake charge, thus there is a reduction in the cylinder peak temperature. Because of the Lower cylinder peak temperature NOx formation reduces. However, particulate emission is comparatively in using EGR technique. With the increase in the recirculated amount of exhaust gas, particulate emission increases and engine loses power. With increasing EGR, soot content and PAN increases in the engine oil of combustion chamber. This increased amount of soot and PAN increases the wear and corrosion of the engine components. The aim of this paper is to study the effect of using EGR on emission and performance in diesel engine. High EGR flow is necessary during cruising and mid-range acceleration, when combustion temperatures are typically very high. Low EGR flow is needed during low speed and light load conditions. KeywordsExhaust Gas Recirculation (EGR), oxides, particulate emission.
RotordynamicBehavior Analysis of a Short Lahyrinth Gas Seal Using CFD Tool

Labyrinth seals are mechanical element commonly used toreduce leakage in interfaces between rotating and stationary parts of turbomachines. However, these elementsmay modify the shaft line dynamics. Thus, accurate predictions and efficient controlsof leakage and seal influence on the rotordynamic stability area very important task to improve efficiency and performance of rotating machines using this kind of seals. The main purpose of this paper is to build a full 3D eccentric CFD model providing accurate leakage and rotordynamic coefficients for a short straight labyrinth seal.The seal has four teeth fixed on the rotor and the work fluid is air. The model accuracy has beenvalidated on experimental measurements of the pressure distribution along and around the seal. Moreover, a parametric study has been conducted to show the effects of pressure ratio along with three mean radial clearances on leakage flow and rotor dynamic characteristics of the seal and obtained results are presented.
An Automatic Spontaneous Live Speech Recognition System for Punjabi Language Corpus

In spontaneous Punjabi speech model, the speech is basically non-planed and non designed, there are generally depicted by repetitions, preservation, wrong start, half-spoken words and non-planned words, silence gap etc. In a system of Punjabi speech detection including vocabulary, the identification needs the evaluation among the audio signal of the utterance and the variety of utterances of the vocabulary. The primary purpose of the research paper is to build the automatic spontaneous speech recognition system for the Punjabi language. The Punjabi speech system is trained and tested by the voice of different male and female speakers and GUI for spontaneous Punjabi live speech system also has been developed. The performance analysis of the speech system is measured by using live speech method. The recognition accuracy for Punjabi speech sentences is 91.17% and 85.38% for different Punjabi words. The sphinx framework and java programming language are used to develop an automatic spontaneous Punjabi live speech model.
Induction Motor Drive With Low Cost Converter And ZVS Inverter

This paper proposes a new low cost converterinverter drive system for induction motor. It proposes a Dual Inductor Converter consisting of a resonant tank, voltage doubler rectifier and a snubber circuit which act as a DC-DC boost converter. Constant duty cycle control is used in the Dual Inductor converter to improve its efficiency. The input current of the converter system is distributed through the two boost inductors making its current ripple amplitude halved at twice the PWM frequency. The output of the converter system is given to the inverter system. For the voltage source inverter, different PWM strategies are compared and the most efficient method is adopted based on its harmonic performance. The THD of PWM, SPWM and SPWM with third harmonic injection is analyzed theoretically. The system have high lifetime and is having low cost.