Miracle-dz/UniFAR-FTUs huggingface dataset:
Risk Scores for Acute Vascular Events: Expectations and Limitations

Cardiovascular disease (CVD) is a major global health burden, despite declines in the mortality rate due to CVD in highincome and some middle-income countries, according to a study published in the Journal of American College of Cardiology (May 2017). The leading cause of healthcare related loss worldwide and in each region of the world is ischemic heart disease. Seventy years of dedicated research under the leadership of the National Institutes of Health and Boston University by the pioneering researchers of the now famous Framingham Heart Study, has provided a wealth of knowledge on the modifiable risk factor functions. One of the great contributions of FHS is that early work by this group opened up and supported the whole field of preventive cardiology by identifying modifiable risk factors for heart disease. Identification of these risk factors also raised the expectations of public in terms of possible reduction or reversal or prevention of this disease by the optimal management of these observed risks. In view of the fact, this was a one of a kind study that received the support of NIH for the longest time, generated more than 3000 articles; expectations of policy makers as well as general public have consistently remained high. Public health policies that were developed based on these findings have contributed significantly to the reduction in smoking, blood pressure, lowering of elevated levels of cholesterol and triglycerides. Considering the twin epidemics of obesity and type-2 diabetes, which are out of control worldwide, what we have gained in the management of modifiable risks may be lost, if the present trend in the increase of obesity and diabetes are not brought into control. Based on the results of FHS a Risk Score calculator has been developed. Development of new biomarkers, and new diagnostic imaging techniques, have provided additional data points for fine tuning the risk stratification for the development of the cardiovascular disease as well as for acute vascular events. In this brief overview, we have discussed some salient points and expressed our viewpoint on this topic of great public health importance.
EFFLUX TRANSPORTERS: ROLE IN DRUG BIOAVAILABILITY, EFFLUX AND RESISTANCE

ABC transporter proteins are the receptors which regulate the entry of lipophillic drugs and xenobiotics through cell membrane. It does not allow xenobiotics to accumulate at site of action. So there is need to study about ABC transporters in detail so that we may enhance the transportation of drug by inhibiting these transporter receptor.
CHEMICAL COMPOSITION AND IN VIVO ANTI-INFLAMMATORY ACTIVITY OF THE LIPID EXTRACT FROM PREMNA ODORATA BLANCO CULTIVATED IN EGYPT

Premna odorata Blanco (Labiatae) popularly known as ―alagaw‖ is a tree native to temperate and tropical Asia including the Philippines. Reviewing the literature; nothing could be traced discussing lipid content or evaluating the biological activity of this plant. This study was aimed to identify the chemical composition of P. odorata lipoidal extract using GC/MS analysis. and evaluating its anti-inflammatory activity by measuring the pro-inflammatory markers (COX-II and IL6) in Inflamed liver Wister albino rats. Twenty five compounds were identified by GC/MS analysis representing 72.15% of total identified compounds consisted mainly of fatty acids in free and ester forms (57.18%). Linolenic acid and its ester form were the main identified compounds representing 18.58% and 19.00% of the total identified compounds, respectively. Biological results showed that treatment of Inflamed liver of rats using a dose of 500mg/kg lipid extract had insignificant level change in COX-II and IL-6 when compare to normal control group. It could be concluded that P. odorata lipid content consisted mainly of fatty acids and interferes with COX-II and IL-6 roles during the inflammation progress disease.
Diabetes Mellitus Leading Expiry of Oral Health

Diabetes mellitus is a group of metabolic disorders characterised by abnormal secretion and metabolic action of insulin. Diabetes mellitus is a chronic disease affecting all age groups. It is one of the leading causes of mortality and morbidity worldwide. Diabetic patients increase their body’s susceptibility to infection and it is a risk factor for periodontal diseases and oral infections. It alters the oral health to a great extent. This article gives an overview of the pathophysiology, oral manifestations and complications of the diabetes mellitus.
Behavioral therapy in diabetes mellitus and obesity

Received: August 05, 2019; Accepted: August 26, 2019; Published: September 09, 2019 In Weimar, on the wall of Albert Schweitzer Museum, there is a memorial tablet which says: “The purpose of our life is to serve, to show solidarity and helpfulness. ” The humanist medical doctor, theologian, philosopher, organist could not have expressed more clearly our confession. Behavioral therapy integrates the cure of body and soul, which occasionally show some duality and opposition.
Unsteady Three-Dimensional Numerical Study of Laminar Flow in Sudden Expansion Channel (Effect of Aspect Ratio)

Three-Dimensional, Unsteady Laminar Flow through Sudden Expansion Channel has been studied numerically. Used rectangular and symmetric sudden expansions (ER=H/h) with different aspect ratio (AR=Wch/h). CFD software ANSYS FLUENT 15.0 was developed to solve the Naviar-Stokes equation by used the finite volume method to transfer these equations from differential form to algebraic form which can be solved by SIMPLE algorithm procedure. The results obtained were represented on graphs and discussed the suitable parameters like: pressure drop, velocity recirculation region and skin fraction coefficient. From the results founded the time steady state increase with the increasing of the aspect ratio and this effects become more clearly at the high of Reynolds numbers and the aspect ratio, so founded high effect of the time on the hydrodynamic parameters, behavior of the flow, recirculation region and the velocity profile, and this effect was clearly at high of Reynolds numbers. Also observed the increasing both the Reynolds numbers and aspect ratio leaded to increase the recirculation zone and streamwise velocity, the pressure drop increase with Reynolds number increase but reduce with increasing the aspect ratio, the results of the numerical study were compared with the other research and obtained acceptable convergence.
A COMPREHENSIVE SURVEY: EARLY DETECTION OF ALZHEIMER’S DISEASE USING DIFFERENT TECHNIQUES AND APPROACHES

The accurate diagnosis of Alzheimer's diseases (AD) and prodromal stage like Mild Cognitive Impairment (MCI) play a vital role in preventing them. This survey paper is focused on computer-aided diagnosis with identification algorithm found in the literature. Many researchers have attempted with feature extraction, feature selection, and classification method consists of three categories of feature extraction approach; viz the Voxel-based approach, Region based approach and Patch based approach and four categories of classification, including, the Random Forest, Support Vector Machine, K-Nearest Neighbor and Artificial Neural Network. Our comparison part shows many recently developed algorithms for classifying the AD from elderly Normal Control (NC) with high-level accuracy, whereas major challenge arises from classifying the Mild Cognitive Impairment (MCI) from NC or AD.
Do Foreign Direct Investment Inflows Cause Economic Growth in Tanzania? The Granger Causality Test Approach

This study assesses whether FDI inflows cause economic growth in Tanzania, it uses time series data covering a period (1970-2014). The study also tests for the co integration between FDI inflows and economic growth. Data pertaining FDI inflows and Gross Domestic Product (GDP) which is used as a measure of economic growth were obtained from International Monetary Fund (IMF) statistics. The Granger causality test was used to test for the causality between FDI inflows and GDP and co integration was tested using Johansen Co integration test. But the major prerequisite for conducting these two (2) tests is that the time series data must not have a unit root i.e. stationary, so the Augmented Dickey Fuller (ADF) test was carried out to check for the unit root. The results from ADF test showed that the time series data for both FDI inflows and GDP did not have a unit root hence making them appropriate for running the econometric tests needed. The results from Granger Causality Test concluded that FDI inflows do cause economic growth in Tanzania and not vice versa. Lastly, the Johansen Co integration Test results show that there is co integration or long term association between FDI inflows and economic growth measured by GDP. So it is recommended that Tanzania and other emerging economies should devise appropriate strategies such as efficient tax benefits to foreign investors, improve infrastructure and improve the skills of human capital to attract FDI. Keywords: FDI inflows, Economic Growth, GDP
A Review on Evaporative Cooling Technology

Now days due to energy crisis and harmful effect t o environment, there is more and more urgent need of energy saving in air conditioning and water cool ing demands in mainly consideration of all the free cooling techniques. Among them evaporative cooling is well known technique from long time which gives good res ults and wide number of applications in residential, com mercial, agricultural, and institutional buildings to industrial applications like as spot cooling in power plants, foundries, etc. So in this paper the evaporative co oling, it’s potential, and different trends in evaporative cool ing are studied, which are environment friendly as it uses only natural energy as latent heat of water. The efficie ncy and effectiveness of evaporative cooling depend s on surrounding climatic conditions which are studied i n this paper, faster the evaporation rate we gate m aximum cooling effect.
Real time Face Detection and Recognition in Video Surveillance

: Face detection systems are capable of handling well-aligned images captured under controlled situations. However, objects in world and their images present before us varied orientations, mismatched expressions, and well or poor lit conditions. Traditional face detection and recognition algorithms display a below par performance on such images. In this paper, we present a method for face detection and recognition which is adapted to real-world conditions that can be trained using very few training examples and is technically efficient. Our method consists of performing a frontal image alignment process followed by classification using sparse representation techniques. We perform our face detection and recognition based on a realistically simple and feasible algorithm, which are implemented to extract the best performance.
A Survey: An Advanced Collaboratively Preparation Sentiment Classifiers used for Multiple Domains

: Collaborative multi-domain sentiment classification approach to train sentiment classifiers for multiple domains simultaneously. The sentiment in sequence in different domains is shared to teach more exact and robust response classifiers for each domain while labeled data is insufficient. Clearly, decompose the emotion classifier of each domain into two mechanisms, a global one and a domain - specific one. The global model can confine the common reaction knowledge and is collective by various domains. The domain-specific model can imprison the explicit sentiment expressions in all domains. In totaling, take out domain-specific sentiment data from both labeled and unlabeled samples in every domain and utilize it to enhance the education of domain-specific sentiment classifiers. Additional, include the similarities between domains into our approach as regularization over the domain-specific sentiment classifiers to encourage the sharing of sentiment information between similar domains. Two kinds of domain parallel measures be explored, one based on textual satisfied and the additional one based on sentiment terminology. To introduce two efficient algorithms to solve the model of our approach. Investigational results on target datasets illustrate that our move toward can successfully improve the presentation of multi-domain sentiment categorization and significantly break baseline methods
A Novel RF CMOS Ultra-Wide-Band LNA at 2.66 - 3.75 GHz in 180nm Technology

: The designed UWB LNA is exhibits a less Noise and large Gain with better input and output matching. The designed Low Noise Amplifier simulation by using Cadence tools in 180nm CMOS Radio Frequency using TSMC technology. The designed LNA is of Common Gate (CG) with Cascode stages are used in different communication applications. Like WiMAX, WI-Fi and WLAN. This (USB LNA) Low Noise Amplifier achieved a gain of Above 20 dB and Noise Figure (NF) achieved a 3.782 dB at frequency of 3.0642 GHz to 3.211 GHz. The simulation result attains with bandwidth is1.0921 GHz with the center frequency (f c ) at 3.132 GHz and it consumed 13.234 mW of power from a 1.8 V power supply and 1 dB compression point of -16.223dBm is attained.
Anti-Mitotic properties of Pawpaw, Pomegranate and Safflower

Deaths due to cancer are on the increase all over the world. Drugs that are used in chemotherapy produce serious side effects on the patient. This study aimed at determining the anti-mitotic activity of pomegranate, pawpaw and safflower. The antimitotic activities are used a leads to finding the anticancer properties of crude extracts. The pomegranate, pawpaw and safflower samples were collected from Egerton University while the onions were collected from Njokerio market. The plant samples were dried under room temperature (23 ± 2°C). Extraction of crude extracts was carried out using petroleum ether, chloroform, ethyl acetate and methanol. The presence of glucosides, phenolics, flavonoids, coumarins, alkaloids, tannins and saponins was determined. The onion roots were trimmed using a sterile surgical blade. The onions were placed on bottles with the roots touching the crude extracts at dilutions of up to 104. The lengths of the roots were measured after 5 d. The root tips were separately macerated before preparation of temporally slides. The slides were observed for stages of mitotic cell division. There was no significant difference between the yield of the crude extracts in pomegranate, safflower and pawpaw (F=0.1295 P=0.8809). There were variations in the chemical compounds in the crude extracts of pomegranate, pawpaw and safflower. The length of onion roots after exposure to crude extracts from pomegranate, safflower and pawpaw varied significantly (F=32.8524 P=7.58E-05). The crude extracts from pomegranate, pawpaw and safflower interfered with mitotic cell division in onion roots. The crude extracts from pomegranate, pawpaw and safflower inhibited root development in onions. This suggested that the extracts have antitumor properties. There is need of testing the crude extracts against tumorous cells to determine whether they have the potential of curing or protecting against cancer.
First-principles insights on the adsorption properties of NO2 gas on In2O3 nanostructures

The electronic properties, structural stability and NO2 adsorption properties of pristine In2O3 nano structures are studied using density functional theory method employing B3LYP/LanL2DZ basis set. The stability of In2O3 nanostructures is confirmed and the energy gap of 3.34 eV is calculated for pristine In2O3 nanostructures. The adsorption properties of NO2 gas on pristine In2O3 nanostructures are explored in terms of energy gap, adsorption energy, average energy gap variation and Mulliken charge transfer. Moreover, the interaction of NO2 gas on In2O3 nanostructures are explored in atomistic level and favorable adsorption site is found to be when nitrogen atom in NO2 gets adsorbed on indium or oxygen atom on In2O3 base material. Furthermore, the density of states spectrum confirms the transfer of electrons between NO2 gas and In2O3 base material. The findings show that pristine In2O3 nanostructures can be efficiently used as NO2 sensor, which can detect NO2 in part per million level in the environment.
Use of Patient Portals among Diabetes Educators and Registered Nurses in Practice

1,4University of Maryland School of Nursing, 655 W. Lombard St, Suite 455 C, Baltimore 2,3University of Maryland Medical Center 5University of Maryland School of Medicine *Address for Correspondence: Eun-Shim Nahm, University of Maryland School of Nursing and University of Maryland Medical Center Collaboration Grant, 655 W. Lombard St, Suite 455 C, Baltimore, MD 21201, USA, Tel: +410-706-4913; FAX: 410-706-3289; E-mail:
How Efficacious are Stainless Steel Crown Luting Cements: An Ex Vivo Comparative Study

The most common ailment of the teeth affecting the people world over is dental caries. If left untreated and unattended, results in large cavitated defects, periapical pathology and in cases of primary teeth, the infection further transcends down to the underlying permanent tooth bud causing various malformations including hypoplasia in the successors deeming it necessary to place stainless steel crowns (SSCs) on them after definitive therapy.
YOGA-BASED PULMONARY REHABILITATION FOR THE MANAGEMENT OF DYSPNEA IN CHRONIC OBSTRUCTIVE PULMONARY DISEASE: A RANDOMIZED CONTROLLED TRIAL

Background: Chronic obstructive pulmonary disease (COPD) is a major cause of morbidity, mortality, and health care use [1]. COPD -Chronic obstructive pulmonary Disease (COPD), a common preventable and treatable disease, is characterized by persistent airflow limitation that is usually progressive and associated with an enhanced chronic inflammatory response in the airways and the lung to the noxious particles or gases. Objectives: To evaluate the effectiveness of Yoga Therapy in the management of dyspnea and fatigue in patients with COPD. Materials and methods: sixty COPD(18 to 60years) were recruited. The yoga group received an yoga module for COPD that included asanas, loosening exercises, breathing practices, pranayama, meditation, yogic counseling and lectures 45 min/day, 3days/weeks on alternate days for 12 weeks. Measurements of dyspnea and fatigue on the spirometry, exercise capacity by the 6 min walk test, COPD QUESSIONAIRE, and C –Reactive protein (CRP) for inflammatory response were made before and after the intervention. Results: Statistically significant within group reductions in dyspnea (P <0.001), COPD quessionaire (P <0.001) scores, CRP (P <0.001), and 6 min walk distance (P <0.001) were observed in the yoga group; all except the last were significant compared to controls (P <0.001). Conclusions: Findings indicate that yoga benefits patients with COPD. Yoga can now be included as an adjunct to conventional therapy for pulmonary rehabilitation to Most cases of COPD can be prevented by programs for COPD patients.
Comparative Study of Microstrip Antenna for Different Subsrtate Material at Different Frequencies

Limitations of microstrip antenna such as low gain, low efficiency and high return loss can overcome by selecting proper substrate materials. Permittivity of substrate is critical parameter in controlling band width, efficiency, and radiation pattern of patch antenna. In this paper, comprehensive study of effects of various dielectric materials on performance parameters of patch antenna is studied at different frequencies. Antennas are designed for different frequencies with two different substrate materials viz. FR4 and DURIOD. Finally the comparison is shown. Ansys HFSS (High Frequency Structure Simulator) is used for design simulation.
Web Document Clustering using Proposed Similarity Measure

Recent advance research in data warehousing and data mining emerges various types of information sources. Web documents are the most useful information resources in this era. Efficient uses of these resources are most important for knowledge discovery. Bunch of documents providing related information is to be grouped in one cluster. Finding the similarity between documents is tedious task. There are various similarity measures introduced earlier to solve the problems related to clustering. Proposing new similarity measure to get better results of clustering is reason behind this paper work. As before concern to previous research, there is no consideration of present and absent features in documents. Proposed similarity measure concentrates on both present and absent features in the documents. Concentrating on similarity measure will help to mining technique.
Secured Structural Design for Software Defined Data Center Networks

— Research work provides efficient security which protects network resources from internal and external threats. Network virtualization is used to provide users with well-organized, controlled, and safe sharing of the networking resources. It also ensures privacy of data and integrity in Software-defined data center (SDDC) whose infrastructures is virtualized and distributed as a service. SDDC helps to broaden the virtualization concept which makes it more secure. The complete infrastructure is distracted from hardware and implemented via software. One of the core components of SDDC is SDN (Software defined networking) that includes network virtualization. SDN requires the method named Open Flow for the Control plane to communicate with data plane (forwards those incoming packets to the destination). SDN and Open Flow with Virtual LAN are used to concentrate on security issues in data centers. An integration of Software Defined Networking and Open Flow (SDNOF) with VLAN Virtual Server Security (VVSS) architecture is presented to address distinct security issues in virtualized network. The Software defined networking and open flow with VVSS is introduced for more secured protection and to maintain compliance integrity of servers in DCN.
PREVALENCE OF BOVINE CYSTIC ECHINOCOCCOSIS IN SLAUGHTER ANIMAL HOUSE IN BABIL, IRAQ

Cystic hydatidosis is considered an internationally and epidemic disease in Iraq and the vast majority of Mediterranean nations, prompts wellbeing and economical issues. Iraq is considered as one of the most epidemic locales notably its southern and center districts that most progressive by farmers. The present study conducted (2800) cow examined in Al-Hilla and AL-Qasim slaughter house animals from 15.04. 2018 to 15.10. 2018. The aim of present study was to investigate the infection rates of Echinococcus granulosus in cow. A total of 2800 cow was used in this present research. The results showed that 145 cow (3.81) were infected. The infection rate was higher in females than males significantly. The lung of cow revealed a slightly higher infection rate of hydatidosis than the liver, with 2.05 % and 1.76 % in the lung and liver respectively. Article History Received : 07.11. 2018 Revised : 26.11. 2018 Accepted: 15.12. 2018
An Analysis of Instance Selection Algorithms using Support Vector Machine for Text Classification

: Automatic text classification is a popular research topic in text mining. Automatic text classification is an eminent field of research in text mining, which is tries to automatically classify the text documents into pre-specified categories. Text mining involves several pre-processing and classification techniques. In this paper, we have analysed several feature selection methods with support vector machine for text classification. Several instance selection methods analysed with different aspects such as accuracy, processing time, reduction rate and selected support vectors. This analysis is mainly focused to techtc-100 dataset with several feature selection strategies. Support Vector Oriented Instance Selection is shown better efficiency in all aspects. This study is very useful to novice text mining researchers .