Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of isometric handgrip test on heart rate variability in primary open angle glaucoma

Introduction: Open angle glaucoma is a chronic, slowly progressive optic neuropathy characterised by progressive visual field loss. At systemic level; hypertension, hypotension leading to reduced ocular blood flow (OBF), vasospasm, oxidative stress and cardiovascular disease history are associated with glaucoma. Various studies suggest a relation between Open angle glaucoma (OAG) and autonomic dysfunction, yet the exact mechanism is still unclear. Heart rate variability (HRV) and a provocative cardiac stress test can provide an easy, non-invasive and indirect assessment of the autonomic control of the heart. Material and Method: The present study consists of 20 patients with Primary Open angle Glaucoma (group ІІ) and 20 age & sex matched healthy controls (group І). Frequency domain analysis of HRV at rest and during Handgrip testing was analysed. Results: On immediate release of handgrip patients with POAG depicted a significant raised Low frequency variables LF (nu) (73.39± 4.04), (p < 0.000) and LF/HF ratio (2.79±0.17), (p < 0.000). On the other hand there is a step decrease in high frequency variable HF (nu) (32.04±1.83) in group ІІ (p = 0.002). The decrease in HF (nu) (38.40±8.07), (p < 0.000) with high LF/HF (1.55±0.28), (p<0.000) in group ІІ remained significant during recovery period. Conclusion: The study thus concluded sympathetic overdrive in response to stress and low parasympathetic activity during recovery period suggestive of impaired autonomic activity in Primary Open angle Glaucoma.
Real time Eye Gaze Tracking for Traffic Safety on Raspberry Pi

Most of the automobile accidents are caused by distracted driving. Passively monitoring driver’s eyes can help in detecting state of mind and alertness of driver and thus can reduce risk of accidents. Proposed system includes three main parts 1) Facial feature tracking 2) Eye gaze and 3D head pose estimation 3) Eyes off the road and fatigue detection. Video feed from camera installed on car dashboard tracks features of driver in real time (25FPS). Infrared illuminator is used at night time to detect facial features clearly without distracting driver. Image processing algorithm is developed in OpenCV to estimate where the driver is looking by combining 3D head pose estimation and eye gaze estimation. Algorithm is implemented on Raspberry Pi board to make a compact embedded system. Different zones are defined which includes the side mirrors, the rear-view mirror, the instrument board, and different zones in the windshield as points few of which are eyes off the road points. SVM is used to train and classify different combinations of gaze and head pose angles to determine exact point of gaze. Based on algorithm output if driver’s eyes are off the road or eyes are closed due to fatigue then accordingly audio and steering vibration warnings are given to driver.
Industrial Market Place Survey and Analytics on Internet of Things

: Advances that will transform life, business, and the global economy ―, the Internet of things (IoT) is one of the top three technological advancements of the next decade (together with the mobile internet and the automation of knowledge work). As the Internet of Things begin transforming businesses, economies and society. IoT platforms are emerging as the central backbone in the overall infrastructure. The Internet of Things is such a sweeping concept that it is a challenge to even imagine all the possible ways in which it will affect business, economies, and society. Sensors and actuators embedded in physical objects are linked through wired and wireless networks, often using the same Internet Protocol (IP) that connects the Internet. The idea is that not only your computer and your smart-phone can talk to each other, but also all the things around you. From connected homes and cities to connected cars and machines to devices that track an individual’s behaviour and use the data collected for new kind of services. In this paper we survey on Internet of Things from industrial perspective and analytics. We also survey on different cloud platform released by some industries for the Internet of Things and how 4g LTE is flexible for Internet of Things.
A New Binary Tree approach of Huffman Code

— Lossless compression of a sequence of symbols is important in Information theory as well as today’s IT field. Huffman coding is lossless and is most widely used. However, Huffman coding has some limitations depending on the stream of symbols appearing in a file. In fact, Huffman coding generates a code with very few bits for a symbol that has a very high probability of occurrence and a larger number of bits for a symbol with a low probability of occurrence [1]. In this paper, we present a novel technique that subdivides the original symbol sequence into two or more sub sequences. We then apply Huffman coding on each of the sub sequences. This proposed scheme gives approximately 10-20% better compression in comparison with that of straightforward usage of Huffman coding. The target FPGA deivce for implementing the design is Xilinx Xc3s500E.The devices utilises 9% and 17% of the total flip flops and LUT’s in the FPGA. The total power consumed the device 0.041W.
ASSOCIAÇÃO ENTRE ESTADO NUTRICIONAL E APTIDÃO FÍSICA RELACIONADA

O presente estudo teve como objetivo analisar a associacao entre estado nutricional e os componentes da aptidao fisica relacionada a saude em estudantes do ensino fundamental II. Participaram 417 estudantes de ambos os generos com idade entre 10 a 13 anos. A classificacao do estado nutricional foi feita atraves do percentil do IMC. A aptidao fisica relacionada a saude foi estimada atraves do FITNESSGRAM. Analise de variância com post-hoc de Tukey foi conduzida para comparacoes entre o estado nutricional e os componentes da aptidao fisica. Meninos e meninas com sobrepeso apresentam menor aptidao cardiorrespiratoria e maior adiposidade corporal que seus pares com peso normal e com baixo peso (p 0,05), exceto com a flexibilidade. O sobrepeso afeta negativamente a aptidao fisica relacionada a saude de criancas, entretanto os efeitos sao mais pronunciados nos meninos.
Landslide Hazard Zonation Map of Joshimath- Badrinath Region, India: Using Remote Sensing and GIS Technique

During 15–17 of June 2013 triggered numerous landslides and caused widespread damage and loss of life in the study area. It affects most of the population and loss the life and wealth every year. Landslide Hazard is a common phenomenon in uttarakhand, India. It is an induced process either by torrential rain during monsoon or by seismic activity in the region. Remote Sensing and GIS technique is used to integrate geological and terrain factors and to prepare different thematic maps. IRS LISS-III MSS satellite imagery is used for classification processes and analysis. After overlaying all the thematic maps, landslide prone area and risk zone is demarcated. JoshimathBadrinath region was chosen for the study. High risk of landslide in that area was 54% and While 25% area was at moderate risk and rest of the area was at low risk. The study is important for risk zone analysis prior to landslide to minimize the effect of hazard. So, this research is crucial for future purpose.
Prevalence and Antibiotic Resistance of Streptococcus pneumoniae among Different Hospitals in Saudi Arabia

This work was carried out in collaboration between all authors. Author AKJ planned, designed, approved study concept and supervised in collection, assembly, possession of raw data, funds arrangement and valuable suggestions in article preparation. Author AJ performed data analysis, critical discussion and manuscript preparation. Author AMM carried out sampling, administrative, technical and material support to accomplish this study. All authors read and approved the final manuscript. ABSTRACT Objective: Present Study was directed to examine the pervasiveness, antibiotics resistance and susceptibility array in Streptococcus pneumoniae gram positive and gram negative isolated strains. Methodology: In current study, 6549 suspected samples were proceeded to confirm pneumonia positive cases obtained from various hospitals. Gram positive and gram negative strains were isolated and characterized by conventional biochemical techniques. Antibiotic susceptibility test was carried out using the disk diffusion test according to the Clinical and Standard Laboratory Institute guidelines (CLSI). Further, streptococcus based isolates were investigated using MacConkey agar. Results: A total number of 6549 suspected clinically samples were collected and 3716 (56.7%) pneumonia cases were confirmed to be positive. More than half of the confirmed cases fall in the age of 20-65 years and male proportion was found to be 64%. Interestingly, 98.2% of the cases were hospital acquired pneumoniae (HAP). P. aeruginosa most widely recognized isolate both hospital and community acquired (CA) etiological agent contributed 18.4% and 32.2% proportion respectively. Conclusion: Clinicians ought to know that average observational pneumonia treatment administrations may not function admirably because of the diverse microbes. This requires sputum examining before beginning treatment for recognizable proof and affectability testing subsequent to a solitary measurement of antimicrobial treatment preceding pneumonia finding might impede the discovery of the causative specialists.
3D Point Cloud Storage Options: A Comparison with a Kinect Data

In recent years, the concept of 3D point cloud, which is a new approach on this subject, has entered the literature. This concept, which is based on the representation of objects as 3D point for processin g, analysis or promotion operations on computer, is preferred with its fl exible structure, simplicity, strong representation ability and easy availability. Considering the studies that can be done in this ar ea, studies have been carried out on the development of data collection devices in this area. The Kinect camera, developed by Microsoft, is one of the most preferred devices in this field. The aim of this st udy is to apply compression algorithms to the data obtaine d from Kinect applications and to compare the obtaine d results. In this way, the data obtained by compress ion can be more easily transmitted and processed. The results obtained also offer suggestions for the applications to be developed after the study. Keyword: 3D Point Cloud, Kinect, Compression Algorithms, Bzip2
Influence of Tooth Thickness on Degree of Conversion of Photo-Activated Resin Composite Irradi-

Dental caries is a bacterial infectious disease of the hard dental tissues, and is one of the most common human diseases affecting a vast majority of adults and children [1]. The current treatment for caries aims at filling technology, and the main restorative materials are metal alloys, ceramics and composite resin materials. Following research development of the dental materials, light-cured composite resins, due to their good mechanical strength and aesthetic performance, are widely used in the clinics [2]. According to modern restoration concepts, during cavity preparation more tooth structure may be retained. Clinical cavity filling procedures meet complex cavity shapes. In order to obtain composite restorations with minimal level of shrinkage while maintaining the greatest degree of polymerization, ensuring marginal seal and adequate bonding strength, placement of composite resin in layers and successive curing is widely applied [3]. The filling thickness of the material should be determined by the properties of the materials and the curing device performance. It is advocated that each filling layer thickness should be approximately 2mm, while selecting the soft-start mode to further reduce polymerization shrinkage [4]. Incomplete curing can lead to composite resin restoration early degradation, wear and affect the functional durability, eventually leading to restoration failure. The depth of cure (DoC) and degree of conversion (DC) are also affected by material particle
Study of Antibiotics Prescribing Pattern in Paediatric Patients of Thamar Province, in Republic of Yemen

The aim of this study was to determine the prescriptions pattern of antibiotic in paediatric in-patient department of General Thamar Hospital in Yemen. The method was prospective and observational study which was carried out for 2 months duration between MarchApril 2015. Patient’s data was being recorded in a specific format and results were analysed by descriptive statistic and expressed as mean ± SD. The result was out of 148 patients, 95 prescriptions were taken antibiotics, where 59 were male child and 36 were female child. The mean age of patient on antibiotic was 1.49 ± 2.12 years. The total antibiotics were prescribed to the patients was 194 and the average number of antibiotics per prescription was 2.04 ± 0.55. The most prevalent diseases among studied patients was bronchitis (27.4%) followed by asthma (15.8%), and lower respiratory tract infection (9.5%). Cephalosporin (51.5%) was found to be widely prescribed antibiotic followed by penicillin (25.3), aminoglycosides (13.4), metronidazole (5.7%), vancomycin (2.6%), and azithromycin. The most of the antibiotics were administered for inpatients 183 (94.3%) prescribed parenteral, and 11 (5.7%) prescribed oral. The conclusion of study was Ceftriaxone and penicillin was identified to be the most prescribed medications in the General Thamar hospital. The selection of antibiotic should be based on culture and sensitivity test to avoid the development of bacterial resistance; however prescription of antibiotic should be done in accordance with WHO guidelines and rational strategies.
Real Time Gesture Recognition for Easy Load Transport

: Motion of the body is interacting with other things for communication is called gesture recognition. For more accurate results we need to know the gesture information which is taken is possibly same to provide to receiver. In this paper we are usually focus on control machine using movement of the user body. Kinect is used to track the Body skeleton of a user or operator. For easy to carry a load we used the system contains kinect, arduino & matlab. We integrate the Kinect sensor and MATLAB image processing mechanism to process video input which is captured by kinect. The machine capable of carrying out a complex series of action, and control device which is used to control the motor drivers which implementing human skeleton tracking method. Real time moving position of an Operator is captured using kinect sensor having three camera one is RGB ,IR emitter, IR depth measurement camera then captured body movements are providing for processing and instruction of body movements are used to perform vehicle according to the user actions. Proposed system will consist of process to provide a facility to user or operator to ease their field work to drive a vehicle, with the help of kinect sensor and processing mechanism to follow the movement of body.
FAST DISSOLVING TABLETS OF SERTRALINE HYDROCHLORIDE

Sertraline Hydrochlride, the selective serotonin reuptake inhibitor (SSRI) is widely used in treatment of depression. Though Sertraline Hydrochloride is well absorbed after oral dosing, there is a first pass metabolism leading to a reduced bioavailability of the drug (44%). Therefore, the present investigation is concerned with the development of Fast Dissolving Tablets of Sertraline Hydrochloride. Various formulations were prepared incorporating a combination of superdisintegrants (Physical Mixtures and Co-processed Mixtures), sodium starch glycolate, and crospovidone by direct compression method. The formulated Fast Dissolving Tablets were evaluated for various physicochemical parameters, disintegration time and for in vitro drug release. All the formulations had disintegration time less than 3 minutes and release maximum amount of drug by 5 min. Formulation containing Co-processed Mixtures had less disintegration time as compared to the Physical Mixtures. The most satisfactory formulatison was found to be stable during the stability studies conducted as per ICH guidelines QIC, as it showed no significant changes in the physicochemical properties, disintegration time.
Osteoarthritis of the hip: aetiology, pathophysiology and current aspects of management

The incidence of osteoarthritis (OA) of the hip is constantly increasing. It is a main cause of pain and disability in our aging population with an ever increasing cost to Health Care providers. Understanding of the disease process and modern evidence-based approaches to its management enables us to instigate appropriate, efficient therapy and maximize the resources available to us in managing this often underestimated disease. This review aims to revisit this disease and update readers on current concepts regarding pathophysiology as well as approaches to surgical and non-surgical therapy.
International Journal of Advanced Research in Computer Science and Software Engineering

: Multilingual speech recognition, it has been found to be very difficult to improve over separately trained systems. We report experiments on a different approach to multilingual speech recognition, in which the phone sets are entirely distinct but the model has parameters not tied to specific states that are shared across languages. High quality text-to-speech synthesis systems require accurate prosody labels to generate natural-sounding speech. This Speech recognition is the process of converting an acoustic waveform into the text similar to the information being conveyed by the speaker. This paper aims to build a speech recognition system for Telugu language. Hidden Markov Model Toolkit (HTK) is used to develop the system. The system is trained for continuous Telugu speech, the continuous Telugu speech data has been taken from male speakers.
Support Vector Machine For Classification of Heartbeat Time Series Data

—Support vector machine (SVM) is a relatively new machine learning tool and has emerged as a powerful technique for learning from data and in particular, for solving binary classification problems. In the literature several statistical-learning paradigms have been proposed for developing a heart rate variability analysis. SVM classification decision which is based on the feature extraction of Heart rate variability (HRV) analysis. Results on a real-life long-term ECG recordings of young and elderly healthy dataset show that understandable SVMs provide a anticipating tool for the prediction of heart rate signals, where as a feature of heart have been generated. Feature extraction describes a pattern or relationships between input features and output class labels directly from the data. This paper proposes several different techniques for Feature extraction. The accuracy is obtained by using the comparison of HRV features.
Morphological Analysis of Arabic Words Using Parsing

— In this paper, a new approach for Arabic language morphological analysis is presented. Unlike other commonly used approaches that are based on pattern matching, we propose defining the structure of Arabic language words using context free grammar (instead of regular expressions). Thus, parsers can be generated to do morphological analysis. This approach considers the annotation marks that are usually neglected by current morphological analyzers, which results in a more detailed analysis.
Identifying and Ranking Current News Topics Using Media Focus, User Attention and User Interaction of SMF

: Recently, social media services such as Twitter on it enormous amount of user-generated data, which has a great potential to contain informative news-related content, Now a days, web based social networking administrations, for instance, Twitter give a huge measure of client generateddata, which consistessential news-related material. Twitter as a new form of social media consist much neat information, but content analysis on Twitter has not been well considered. Broad communications sources, for example, news media used to illuminate us about day by day events. For these advantages for be useful, we should figure out how to filter noise and just catch the substance that, in perspective on its closeness to the news media, is considered significant. In any case, even after noise is evacuated, information overload may even now exist in the remainder of the data. Henceforth, it is profitable to arrange it for use. To achieve prioritization, information must be situated by assessed criticalness considering three factors.In any case, the transient ordinariness of a particular point in the news media is a factor of hugeness, and can be seen as the media focus (MF) of a subject. Second, the momentary power of the topic theme social media exhibits its customer thought (UA). Finally, the correspondence between the web based customers who see this topic exhibits the nature of the network discussing it, and can be seen as the client connection (UI) around the subject. We propose an unsupervised system SociRank which recognizes news points basic in both web-based social networking and the news media and after that locate them by significance using their degrees of MF, UA, and UI. Our analyses show that SociRank improves the quality and arrangement of normally recognized news focuses
Implementation of Solar Distribution Grid for Agriculture Resources through MATLAB

-Solar based distributed generators are the most promising renewable energy technology in low voltage grid networks. Distributed generators are installed to supply local customer load demand as main purpose with a permanent percent power level of connected transformer. Load patterns show variation according to location and utilization habit of the customers such as residential, industrial, agricultural watering purpose. Farmers have the tradition of being stewards of the land, and their investment in renewable energy supports their role of protecting the land, air, and water. Solar energy, like other renewable, offers an opportunity to stabilize energy costs, decrease pollution and green house Gases (GHGs) and delay the need for electric grid infrastructure improvements. Solar energy systems have low maintenance costs, and the fuel is free once the higher initial cost of the system is recovered through subsidies and energy savings (from reduced or avoided energy costs). For many agricultural needs, solar energy. Provides a good alternative. Modern, well-designed, simple-to-maintain, and cost-effective solar systems can provide energy that is needed when and where it is needed. In this paper we have implemented this technique by distributing the power to the fields and the controlling is done using MATLAB software.
Palm Vein Recognition with Fuzzy-Neuro Technique

: Vein recognition is an emerging technology which frequently gains importance in the biometric field. In this paper palm vein recognition system is presented which is used for recognition or identification. The lots of work have been done on the Palm Vein technology but there is still a scope of further improvement. The accuracy and response time of the existing system is slow which can be improved. Error extractions due to bad quality of the palm vein pattern images may lead to the fatal errors of the process. The quality of images is low. In this paper feature is extracted using region growing approach and that Fuzzy-Neuro is used to enhance the response time and accuracy of system. This work s done with MATLAB and result is concluded on the bases of some parametric (Precision, Recall, Accuracy, Specificity, EER, FRR, FAR, NPV).