Miracle-dz/UniFAR-FTUs huggingface dataset:
Buffer Constraint Based End-To-End Delay Modeling in Mobile Ad-Hoc Networks

: This paper focuses on a class of important two-hop relay mobile ad hoc networks with limited-buffer constraint and any mobility model that leads to the uniform distribution of the locations of nodes in steady state, and develops a general theoretical framework for the end-to-end delay modeling. This achieves end to end delay based on the modeling of both packet queuing delay and delivery delay. Finally, we present extensive simulation and numerical results to illustrate the efficiency of our delay analysis as well as the impacts of network parameters on delay performance
Analyzing Social Media Community Sentiment Score for Prediction of Success of Bollywood Movies

: Social networks are developing as a real-time feedback system which can be used by product makers and service providers to fetch instant user acceptance and take corrective actions to increase their brand popularity. Like-minded users form communities when they post their opinions on to the social networks which affect the decision making of prospective customers. Often the largest community within a network represents the essence of the entire network in terms of sentiments. In the study presented, sentiment analysis of the largest community of the tweets about Bollywood movies released from 1 st June 2017 and 17 th , August 2017 was performed. The overall sentiment score divided by the number of members in the community when compared to Box-office collection of movies yields fairly good results.
An Overview of Data Replication and Load Balancing Issues in

: The largest platform for the world to share and store data is based on Cloud computing. The industries are well connected with consumers using IT services. Clients access data and applications through large scale real or virtual networks. The information is accessible between multiple user devices and servicing data centers. The proliferation of clients, buyers and users through multiple devices globally requires a large confirming the confidentiality, integrity network provides a medium for authentication servers and provision better proximity the service side. The survey paper emphasizes on the servers. The authentication criteria for securing user and yet to be explored. The issues arising by overloading of Cloud including data explo jeopardizing the efficiency of cloud infrastructures virtual computing environments to sustain progressively. The consistency for data and faster service provisioning in ter response time can make implementation of proximal and the users. The installation of more ideal system must exhibit minimal delay in service provisioning to the clients and l closer mesh of servers for handling the requests providing data backups networking designs and models should be more emphasized on financially and geographically to in and server deployment for users. The more co platform by collectively providing a means to robustness. The co-operative virtual environments for the cloud but the entire mesh of hybrid networks.
Real time Tweet analysis for event detection & reporting system for Earthquake

---------------------------------------------------------------------***--------------------------------------------------------------------Abstract Twitter is new social networking trade in currently a day. Real time nature is a very important characteristic of Twitter. We have a tendency to investigate the period of time interaction of events like earthquakes in Twitter associate degreed propose a rule to observe tweets and to sight a target event. To sight a target event, we have a tendency to devise a classifier of tweets supported options like the keywords in a very tweet, the amount of words, and their context. Later, we have a tendency to turn out a probabilistic spatiotemporal model for the target event that may notice the middle of the event location. We have a tendency to regard every Twitter user as a sensing element and apply particle filtering, that square measure wide used for location estimation. The particle filter works higher than different comparable ways for estimating the locations of target events. Projected model is provided which might notice the Centre of the event location. The twitter user’s square measure thought to be sensors and apply particle filter, in the main used for detection the situation. Due to the various earthquakes and also the sizable amount of twitter users throughout the country, we will sight associate degree earthquake with high chance simply by watching tweets. As Hadoop is used for processing data huge in size, we will use this framework. And it is mandatory to process or train system by maximum of data in very short time span. In existing system it requires too much time to process and we must develop such system which is very much responsive and very less turnaround time for reporting & alarming. So in our framework we are utilizing Naive Bayes algorithm for training. So we are going to implement machine learning concepts too. And it is very huge point of our system. Our system detects earthquakes promptly and notification is delivered abundant quicker than JMA broadcast announcements.
A STUDY OF DRUG RESISTANCE OF METHICILLIN RESISTANCE STAPHYLOCOCCUS AUREUS (MRSA) IN RURAL AND URBAN TERTIARY CARE CENTERS

Purpose: Staphylococcus aureus is worldwide cause of various infections. this study attempts to (1) determine the prevalence of Methicillin Resistant Staphylococcus aureus (MRSA) in rural and urban areas and (2) their susceptibility pattern to various antimicrobial agents. Methodology: A total of 11,815 pus samples from various etiology were analysed of which 4540 from rural and 7275 from urban. Of which 607 (13.37%), 737 (10.13%) were Staphylococcus aureus in rural & urban tertiary care centers respectively, which were confirmed by various biochemical tests, cultural methods like using Mannitol salt agar and using Oxacillin discs (1µg) for Methicillin susceptibility. Results:The prevalence of MRSA in rural was 357 (58.81%)and urban was 394 (53.46%), Male and female sex distribution were 197 (55.18%), 160 (44.81%), 210 (53.30%), 184 (46.70%), in rural & urban tertiary care centers respectively. The MRSA were more sensitive to tetracycline, linezolid and vancomycin drugs. Conclusion: The present study showed MRSA were more prevalent in rural setup than urban set WO
Automatic Detection of Micro aneurysm in Retinal Images

One of the early detectable red lesions in Diabetic Retinopathy fundus Images is Microaneurysms (MA). Detecting MA automatically is a tough job since the size of the MA is very small. The colour, size and shape features of MA are merely similar to Haemorrhages and exudates. MA is a reddish, circled spot on the surface where its size is bigger than Haemorrhages and smaller than the hard exudates. The main objective of this paper is to detect MA automatically and help ophthalmologist for pre-screening process. Various techniques and methodologies were discussed for detecting and analysing MA in the earlier researches. In the existing system the author proposed Bi-Linear-Top-Hat method for detecting MA in DRF images. In this paper an ACHT – [Automatic Circular Hugh Transform] method is applied to detect the circular shape of MA in a DRFI. The detect MA originality is investigated and evaluated using the feature extraction, classification by GLCM combined SVM, which compares shape model with the colour features. The experiment result shows that the performance of the proposed approach is better than the existing approaches.
A Novel Approach for Despeckling of Ultrasound Images

— Ultrasound imaging is a widely used medical imaging modality. But the major issue with ultrasound images is the presence of speckle noise, which is an inherent limitation of ultrasound images. This research work focuses on speckle noise reduction in ultrasound images. Various predefined techniques for despeckling are studied thoroughly and a novel approach is proposed. In addition, comparison of predefined and proposed technique is done both on qualitative and quantitative level. Four different metrics are used for comparative study of various image filtering techniques.
Serum Leptin and Body Mass Index in Type 2 Diabetes Mellitus Patients of Dehradun, Uttarakhand, India

Diabetes mellitus (DM) is one of the world’s major public health problems. In 2010, 285 million people were affected worldwide and by the year 2030, this number will reach to about 435 million (Sarath and Rajkumar, 2011). With this increasing incidence worldwide, it will be a leading cause of morbidity and mortality for the anticipated future (Alvin, 2012). Approximately 80% of the subjects with type 2 DM are obese. Traditionally adipocytes were considered to store triglycerides during feeding and release free fatty acids during fasting. However adipose tissue secretes more than 50 bioactive peptides (adipokines) like adiponectin, leptin, resistin, visfatin etc. These factors participate in autocrine and paracrine International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 4 Number 12 (2015) pp. 434-440 http://www.ijcmas. com
MATLAB Simulation Based Efficiency Study For Two Diode Model Of Photovoltaic Solar Cell

This paper illustrates a detailed explanation about various parameters of two diode equivalent circuit model which is one of the realized models of solar photovoltaic cell. This model is known to have better accuracy at low irradiance levels which allows for more accurate prediction of PV systems performance. The introduction on renewable energy specially focused on solar energy is followed by the modeling and simulation of PV cell. To achieve high efficiency and power, A MATLAB simulation based study of PV cell by varying different model parameters is carried out and presented, which is the main contribution of this paper. Theoretical foundations about Photovoltaic cell and PV electricity generation process are also presented.
SPEECH ENHANCEMENT BASED ON SELF ADAPTIVE LAGRANGE MULTIPLIER WITH WEIGHTED PERCEPTUAL WIENER DE-NOISING TECHNIQUE

The most voice based communication systems facing many problems such as lack of perceptual clarity, musical noise or residual noise, speech distortion and noise distortion. The main objective of speech enhancement is to improve the speech quality and intelligibility. By using wiener filter with Lagrange multiplier makes tradeoff between the speech distortion and residual noise, when the value of Lagrange multiplier is greater than or equal to zero otherwise causes speech distortion and residual noise. The perceptual wiener filter also contains some residual noise and there is a nonlinear relationship between the Lagrange multiplier and threshold value causes noise distortion. In this a Psycho acoustically motivated method is used for choosing better Lagrange multiplier value and to avoid nonlinear relationship. The objective evaluation showed that the proposed method performance is better than different existing methods.
Privacy Preserving Data Mining in Distributed System using RDT Framework

Distributed data is very important in modern information driven applications. Most of the applications are using distributed databases because of the availability of data in different databases. Use of distributed data is very challenging because of the difficulty of merging the data which are more private. Without losing the privacy of data each application need to maximize the utility of the collected information. Using only local data will not give an optimal utility of the data. In this case techniques for privacy-preserving knowledge discovery is very important. Existing techniques for privacy-preserving data mining are cryptography based techniques and perturbation based technique. Cryptographic techniques are too slow for large scale data sets. Perturbation based technique doesn’t give a much privacy for the data which are distributed. Random Decision Tree framework can used for privacy preserving data mining. Random decision trees (RDT) shows that it is possible to generate equivalent and accurate models with much smaller cost and it is very suitable for parallel and fully distributed architecture.
Developmental Dysplasia of the Hip

Developmental dysplasia of hip (DDH) is rare condition occurs in growing hip with structural abnormalities. Early finding and management provides the best possible result. Hip dysplasia into teens and later life may result in irregular gait, reduced the strength and generate many hip and knee disease. Developmental dysplasia should be treated soon after death. Different diagnostics test for Developmental dysplasia of hip were invented to treat with this condition. Radiography, ultrasonography and magnetic resonance imaging help to identify the dislocation. Surgical treatment usually consists of open reduction and hip reconstruction surgery. Review contains the current practicing for identifying the DDH and its treatment.
Effective Implementation of IoT for Enhancing Cargo Container Security

: This paper discusses effective implementation of IoT to enhance able container security in marine cargo industry. It is estimated that 90% of goods traded globally are moved by around 17 million containers. However it is very difficult to control and monitor the container contents. There are various challenges like spoilage, tampering, theft, smuggling of contraband materials even nuclear weapons. This calls for constant monitoring, analysis and reporting of various parameters like temperature, humidity, radiation inside containers throughout the journey. This is a complex problem as the paths of ships are often out of reach of conventional communication technologies and are subject to rough weather. Additionally metal containers limits range of RF signals. Various technologies like Satellite/RF/GSM Communication, Cloud Computing, Device Engineering, Last mile connectivity will be utilized for the purpose. This paper reflects our thought process on effective implementation of IoT techniques to enhance the end-to-end traceability and security of containers .
PHARMACOGNOSTICAL & PHYSICOCHEMICAL STANDARDIZATION OF YASHTIMADHU TABLET- AN AYURVEDIC FORMULATION

According to the Ayurvedic principles, a drug or therapy should not be only having pacifying effect on disease, but also it must not create any adverse effect or complication. A drug should not be only efficacious, but also easily available. Glycyrrhiza glabra is a commonly used traditional medicinal plant and is found in abundant traditional formulas. Yashtimadhu is considered as Pitta pacifying and effective in all Pittaja Vikara in Ayurvedic treatises hence Yashtimadhu was selected in the present study for the management of Pitta Prakopa. The present study was aimed at setting up a standard profile of Yashtimadhu Tablet which was prepared using pharmacognostically authenticated the root of Yashtimadhu (Glycyrrhiza glabra Linn.) drug followed by subjecting it to detailed physicochemical analysis as per standard protocol. The observations were systematically recorded. Pharmacognostical findings (Border pitted vessel, Compound starch grain, Cork in surface, Crystal fibre, Rhomboidal crystal, Lignified fibres, Simple fibre, Simple starch grains, Scleroides, Tannins etc.) confirm the ingredient i.e. root of Yashtimadhu present in the Yashtimadhu Tablet as per API which support the intended action of the formulation in Pittaprakopavastha.
Incidence, characteristics and outcomes of patients with severe CA-MRSA pneumonia

Corresponding author: Matthew E. Falagas, MD, MSc, DSc Alfa Institute of Biomedical Sciences (AIBS), 9 Neapoleos Street, 151 23 Marousi, Greece Tel: +306947939600 Fax: +302106839605 E-mail: m.falagas@aibs.gr Conflict of interest/funding: none Word counts: abstract: 148, text: 3646 Short title: CA-MRSA pneumonia Number of tables: 3 Number of figures: 2 Number of references: 122 . Published on June 18, 2009 as doi: 10.1183/09031936.00041009 ERJ Express
Clinical Observation on Warm Acupuncture Therapy for Rheumatoid Arthritis

Rheumatoid Arthritis (RA) is a chronic, inflammatory disease, frequently associated with joint destruction. The aim is this clinical observation was to contribute to warm needle acupuncture treatment of rheumatoid arthritis. We studied the before and after warm needle acupuncture and herbal medicine treatment of rheumatoid arthritis patient’s Rheumatoid Factor (RF), Erythrocyte Sedimentation Rate (ESR), and C-reactive Protein (CRP), the plasma samples were investigated at Pathlab Laboratory (M) Sdn. Bhd (37363-K) in Taman Perling branch, Johor, Malaysia. Our result showed that, after warm needle acupuncture and herbal medicine treatment, rheumatoid arthritis patient’s RF, ESR, and CRP are reduced, but warm needle acupuncture seen to have decreased in significantly comparison with the before. Authors suggested that warm needle acupuncture could help rheumatoid arthritis patients, but basic mechanisms and long-term observations will be needed. *Corresponding author: Yun Jin Kim, Faculty of Chinese Medicine, Southern University College, Jalan Selatan Utama, Off Jalan Skudai, 81300 Skudai, Johor, Malaysia, Tel: +60-127337661; E-mail: neurokim76@naver.com Received June 05, 2017; Accepted June 14, 2017; Published June 19, 2017 Citation: Kim YJ (2017) Clinical Observation on Warm Acupuncture Therapy for Rheumatoid Arthritis. J Tradit Med Clin Natur 6: 225. doi: 10.4172/25734555.1000225 Copyright: © 2017 Kim YJ. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
HYPERTENSION : RISK FACTORS , TREATMENT TACTICS , JNC 8

A t the p r im a ry le v e l o f m e d ica l care, p a rtic u la r ly in e m e rg e n c y m ed ic ine , h igh ra te s o f ca lls c ircu la to ry d iseases , w h ich a re d o m in a te d b y ca lls fo r h yp e rten s ion . Thus, h yp e rte n s io n as an a s s o c ia te d d iag nos is a cco m p a n ie s a lm o s t e v e ry case s ca ll fo r c irc u la to ry d iseases. Q u a n tita tive a n a lys is o f ca lls s e rv ic e d m e d ic a l e m e rg e n c y b rig a d e o f d ise a se e n tit ie s le a d s to the co n c lu s io n th a t m a in ly se rve s to c a ll the d ise a se s o f the c irc u la to ry system , h yp e rte n s io n w ith crises, d ise a se s o f the resp ira to ry , d ig e s tive a n d n e rvo u s system . The p e rce n ta g e o f c irc u la to ry d ise a se s a n d hyp e rte n s io n w ith c rise s on a ll s e rv ice d ca lls h a ve (fo r the 3 y e a r pe rio d ) such in d ica to rs : 4 0 . 8 4 % a n d 2 5 . 74% respective ly . In s tud ies , p u b lis h e d as som e re se a rch e rs (D e la S ie rra A. an d G on z6 le z -S e g u ra D .) in 2011, a n d o th e r (M a rte ll-C la ros N., G a lg o -N a fria A .) in 2012, w e re s tu d ie d the r is k fac to rs fo r c a rd io v a s c u la r d iseases , w h ich e m p h a s ize s th e ir c ru c ia l ro le in th e o ccu rre n ce o f c a rd io v a s c u la r even ts . T im e ly d iag nos is o f “h y p e rte n s io n ” is o ften a sso c ia te d w ith the v ig ilance o f the d o c to r a fte r all, n o c lin ic a lly co m p la in t m a y be. B u t the d o c to r ’s w o rk is n o t the end. A lth o u g h to d a y the m a jo r ity o f p a tie n ts p re fe r se lf-m e d ica tion , in c lu d in g h yp e rte n s io n a n d re la tive ly , w o rk on the in d iv id u a l ch o ice tre a tm e n t is o f u tm o s t im p o rta n t pa rt. A n d h e re the m od ern p h ys ic ia n is ca lle d upon to exe rc ise th e ir p ro fe s s io n a l m e d ic a l s k ill as w e ap p ro ach th is from an in te g ra tive pe rsp e c tive . To m a in s tre a m m e d ic a l tre a tm e n t o f h yp e rte n s io n J N C 8 h a s d e v e lo p e d n e w g u id e lin e s fo r the m a n a g e m e n t o f h yp e rte n s io n in adu lts . O n the o th e r hand, the g ro u p o f m e d ic a l sc ie n tis ts a re e xp lo r in g n e w m ethods, such as d e c re a se d le v e l o f the e n zym e (p ro te in ) G R K 2 (G -p ro te in re c e p to r k in a se 2), sup p re ss ion o f the c a ro tid b o d y o r ca ro tid b o d y a n d re n a l sym p a th e tic d e ne rva tion that, from the sub je c tive p o in t o f v ie w o f the au thors, de se rve sp e c ia l a tten tion a n d ha ve a re a l p e rsp e c tive fo r the tre a tm e n t o f re s is ta n t hypertens ion .
GARLIC: A SOURCE OF HERBAL MEDICINES FOR CANCER THERAPY

Garlic (Allium sativum) is one of most powerful aromatic food plant which is used to alleviate a variety of health problems. Garlic derived sulfur compounds hold unique therapeutic potential which inhibit cell proliferation and oncogenesis by triggering cell cycle arrest or apoptosis in a variety of cancer cells. Garlic derivatives are antimutagenic which suppress tumor formation, finish neoplastic growth and prevent aberrant cell expansion by slowing progression of the cell cycle. Garlic based composite herbal nanomedicines/ formulations can target oxidants or pro-oxidants and activate proapoptotic proteins. Garlic based herbal products and targeted molecules can be recommended for clinical management of various cancer types i.e. colon cancer, rectal cancer, stomach cancer, breast cancer, prostate cancer and lung cancer.
Adaptive Fuzzy Coordinated PSO Based Modeling of Controller with SVC and PSS for Transient Stability Enhancement in Multimachine Power System

: This paper presents the Multimachine Power system stability enhancement by simultaneous tuning of the parameters of power system stabilizer (PSS) and static VAR compensator equipped with Particle Swarm Optimized NeuroFuzzy controller. The controller provides a reference voltage signal for the PSS & SVC in such a way that it enhances the damping of the rotor speed deviations of its neighboring generators. Intelligent control is the discipline in which control algorithms are developed by emulating certain characteristics of intelligent biological systems. To achieve nonlinear optimal control at abnormal operating conditions of the power systems, the controller is trained offline by PSO and Simulation results are provided that explains the performance of the NeuroFuzzy controller.
A Review of High Gain Single Stage Boosting Inverter for Photovoltaic Applications

This paper introduces a review of high-gain single-stage boosting inverter (SSBI) for photovoltaic applications . The two-stage micro inverter first performs dc to dc voltage step up and then converts dc to ac, whereas the single-stage topology has to perform the dc to dc voltage step up, and the dc to ac conversion functions all in one stage. This paper discusses about various previous conventional single stage boosting inverter topologies as well as the proposed single stage boosting inverter topology. The proposed system employs a Tapped Inductor to attain high-input voltage step up and, thus, allows operation from low dc input. The conventional methods are costly and has complex circuitry whereas the proposed Single stage boosting inverter has a simpler circuitry and a lower component count. The proposed Single stage boosting inverter can achieve high dc input voltage boosting, good dc–ac power decoupling, good quality of ac output waveform, and good conversion efficiency.