Miracle-dz/UniFAR-FTUs huggingface dataset:
THE IMPACT OF ANTIHYPERTENSIVE DRUG THERAPY IN PATIENTS WITH CHRONIC KIDNEY DISEASE: A PROSPECTIVE OBSERVATIONAL COHORT STUDY

Objective: Hypertension (HTN) is both a cause and an effect of chronic kidney disease (CKD). To adequately control blood pressure (BP) in CKD, choosing antihypertensive strategies with the highest nephro-protective effect is crucial for preventing or reversing end-stage renal disease (ESRD) progression and reducing cardiovascular disease (CVD) risk. The present study was therefore designed to evaluate the impact of clinical use of antihypertensive drug therapy in patients with CKD and ESRD. Methods: It is a prospective observational cohort study. The patients were divided into two cohorts i.e.; non-dialysis dependent (NDD) and dialysis-dependent (DD) CKD. This study was conducted for six months in the Nephrology department, Osmania General Hospital, Hyderabad, India. The data collected and entered into Microsoft Excel (2007) and mean, SD and range were calculated using SPSS version 25. Results: Antihypertensive drugs were prescribed alone or in combination based on the co-morbidities associated with CKD and HTN. Loop diuretics (Furosemide and Torsemide) and calcium channel blocker (Amlodipine, Nifedipine and Cilnidipine) were most commonly prescribed antihypertensive drugs. Triple therapy (44.11%) was prescribed mostly in both the cohorts (NDD = 16.66%+DD = 27.45%) of which calcium channel blockers+loop diuretic+sympatholytic accounts for 19.16% (NDD = 5.88%+DD = 13.73%). Conclusion: The practice of prescribing antihypertensive drugs for the management of HTN and to achieve BP targets in CKD and ESRD remains uncertain. The development of new and revised guidelines is needed to reduce inappropriate variations in practice and promote better delivery of evidence-based treatment.
A Survey on Interactive Virtual Reality for Android Mobile Devices

: Virtual reality (VR) has gained immense popularity among tech enthusiasts ever since it became possible to use smartphones to experience it. Most VR headsets available today have two lenses, and a slot provided to mount a smartphone in front of them. However, in all of these products, the only way to interact with the VR interface is with head movements. This limits the level of interactivity and control that such a system can have. This project aims to address this issue by using a second smartphone as a handheld controller. The secondary smartphone would capture hand movements using its accelerometer and relay this data to the head mounted smartphone over a WIFI or Bluetooth channel. This way, it would become possible to incorporate hand gestures as a form of input in the VR interface.
A Comparitive Study of Economic Load Dispatch Problems Using Classical method and Artificial Intelligence Method

: Economic load dispatch (ELD) is a sub problem of the optimal power flow (OPF) having the objective of fuel cost minimization. The fuel cost equation of a thermal plant is generally expressed as continuous quadratic equation. In real situations the fuel cost equations can be discontinuous. Recent advancements in artificial intelligence especially in evolutionary algorithms have enabled much efficient way to solve the constrained optimization problems in various fields of engineering. In this paper we applied Genetic Algorithm (GA) technique to a 6-generator test system having continuous fuel cost equations. Results are compared to conventional Newton-Raphson method to show the superiority of the proposed computational intelligence technique
Detection and prediction of seizures using a wrist-based wearable platform

Seizure is a neurological disorder that occurs due to sudden electrical activity in the brain. A number of physiological signals can be used to detect seizure. This paper describes a wrist-based platform that uses a combination of physiological signals and other parameters such as irregular, uncoordinated motion for the detection of seizure. The proposed device is capable of constant evolution by updating of its algorithms, leading to a device capable of predicting seizures before their actual onset.
Antimicrobial activity of Curcumin upon pathogenic microorganisms during manufacture and storage of a novel style cheese ' Karishcum "

A survey study was made to evaluate the level of microbial contamination of 35 samples of Karish cheese retailed in Cairo area in compare with the Egyptian standard (ES-1008-2000). Survey results indicated that the brand cheese showed the highest quality, while the street & shop made and vend cheese samples showed the higher the ACC and the worst mycological quality, as reached >10 cfu/g for each of mold and yeast counts. So, 57% of Karish cheese samples would not be accepted due to the high mycological counts. Coliform group and Escherichia coli as fecal indicator contamination were detected in 57 and 25.7 % of the retailed Karish cheese samples, in averages of ~10 cfu/g of the Coliform counts, respectively. However, Staphylococcus aureus, Bacillus cereus and Listeria monocytogenes were isolated from 17, 8.5 and 2.8 % of the total Kariesh samples, respectively, but any was isolated from the brand cheese. A novel style of Karish cheese was made by adding Curcuma. Longa (Curcumin or Turmeric) at a rate of 0.3% (w/v), to obtain a new dairy product “Karishcum”. A primary experiment was done to determine the correct percentage of Curcumin addition to cheese milk to get good taste and long shelf-life. A panel test was carried out to determined organoleptic properties of “Karishcum”. The behavior of pathogenic bacteria in artificially contaminated during cold storage period at 7°C+1,for 14days, revealed that addition of aqueous Curcumin extract (0.3%) achived a reduction of bacterial counts obout one log of Salmonella typhimrium, tow log of Pseudomonas aurogenosa and E.coli0157:H7, respectively. Meanwhile each of S.aureus, B.cereus and L.monocytogenes were vanished at the end of the cold storage period (14 days). [Hosny I.M. , W.I El Kholy , H.A. Murad and R.K. El Dairouty. Antimicrobial activity of Curcumin upon pathogenic microorganisms during manufacture and storage of a novel style cheese 'Karishcum". Journal of American Science 2011;7(5):611-618]. (ISSN: 1545-1003). http://www.americanscience. org.
Comparison of fentanyl versus fentanyl plus magnesium as post-operative epidural analgesia in orthopedic hip surgeries

Introduction: Post-operative pain is often inadequately treated. Optimal utilization of the available resources is essential for improving pain management. Magnesium has antinociceptive effects in animal and human models of pain. Materials and methods: 60 patients of either sex, belonging to 45-60 years of age, ASA grade I and II admitted for orthopedic hip surgeries. In the post-operative period when patient first complained of pain, they received either 50 mcg of Fentanyl (GROUP-F) or 50 mcg of Fentanyl plus 50 mg of Magnesium (GROUP-FM) diluted to 6 ml with normal saline. The parameters monitored were duration of analgesia, quality of analgesia (vas and vrs), cardio-respiratory effects: pulse rate, blood pressure (sbp and dbp), and respiratory rate and side effects like: nausea, vomiting, hypotension, sedation, respiratory depression. Results: Mean onset of analgesia in Group F was 16.2 ± 2.67 min and in Group FM was 15.9± 3.4 min. The duration of analgesia in Group F was 160± 18.19 min and in Group FM was 337.3 ± 47.48 min. In our study, there is mild fall in pulse rate and diastolic BP with both groups, more so with Fentanyl plus Magnesium group, and respiratory parameters were stable in both groups. In our study 50 mg of epidural Magnesium coadministered with Fentanyl in Group FM resulted in lower VAS scores at 2,3,4 hours postoperatively. Conclusion: Epidural Magnesium (50 mg) as an adjuvant to epidural Fentanyl (50 mcg) for postoperative analgesia resulted in prolonged duration of analgesia when compared to epidural Fentanyl (50 mcg) alone. P V Praveen Kumar, Sreemanth. Comparison of fentanyl versus fentanyl plus magnesium as post-operative epidural analgesia in orthopedic hip surgeries. IAIM, 2017; 4(10): 14-21.
PREVALENCE OF HEPATIC DYSFUNCTION IN DENGUE FEVER IN CHILDREN PRESENTING AT TERTIARY CARE HOSPITAL, KARACHI

Objective: To determine the prevalence of hepatic dysfunction in children presenting at a tertiary care hospital, Karachi. Method: A prospective, cross-sectional study has been conducted at Ziauddin University Hospital, Karachi, from the month of June 2015 to December 2016. Children, who were admitted to the setting were included in the study on the basis of diagnosis of dengue after the serological confirmation by finding of dengue immunoglobin M captured by ELISA and screening as per the WHO guidelines for severity of the dengue infection. Results: 189 patients meeting the inclusion criteria were included in the study out of which 59.8% (113) were males and 40.2% (76) were females. The pediatric cases were distinguished into three cases i.e. 59.3% (112) of dengue infection, 25.4% (48) dengue hemorrhagic fever and 15.3% (29) dengue shock syndrome. Conclusion: Notable frequency of hepatic dysfunction has been observed with severity in dengue shock syndrome in comparison with dengue fever and dengue hemorrhagic fever.
Co-Operative Opportunistic Risk Aware Scheme and its Routing Attacks in MANET

Mobile Ad-hoc Network (MANET) is an infrastructure less network. Each node will act as a host as well as a router and forwards each other’s packets to enable the communication between nodes not directly connected by wireless links. Today, mobile ad hoc networks are mainly helpful in sensing, gaming and also for military purposes. But the steadily wider adoption of wireless technologies in daily life let one foresee the next generation of mobile ad hoc network applications: environmental and medical monitoring, groupware, customer to customer applications, risk awareness management, entertainment including advertising, etc. Data transmission through the network platform is being greatly affected by an important parameters namely routing. We introduce the concept Co-operative opportunistic routing in MANET and compared with the performance of AODV. The concept of link quality using co-operative communications is being implemented with IDS to enhance routing than AODV. This helps in obtaining less traffic overhead. Finally, low power energy consumption with efficient throughput is being obtained and the network lifetime is dramatically increased. Keywords—Co-operative communication, AODV protocol, Intrusion Detection system (IDS), Link quality, Live update, Path Finding Algorithm (PFA).
Anonymous Communication in Computer Networks: A Survey

— Anonymous network enables users to access the World Wide Web while blocking any tracking or tracing of their identity on the Internet. The goal is to hide the identities of sourced and destination nodes, and route of information ﬂow in the network. This type of online anonymity forward Internet traffic through a worldwide network of different kind of servers. Anonymous networks prevent traffic analysis and network surveillance and help to maintain privacy and integrity which helps end user to remain anonymous within shared public network. The existing anonymous networks like The Onion Router (Tor) achieve diverse levels of anonymity against a variety of harmful attacks.
Change Detection in Sarimages Based on Artificial Bee Colony Optimization With fuzzy C - Means Clustering

: Synthetic aperture radar (SAR)generates images with high resolution in all weather conditions for a given application. An Artificial Bee Colony (ABC), optimization algorithm is proposed to detect changes in multitemporal SAR images which are captured at same area in various times. It is well-known fact that the speckle noiseis existed in SAR images.In order to reduce the speckle noise in the co-registered images, a novelAdaptive Median filter is implemented in this paper. Afterthe minimization of speckle noise, discrete wavelet (DWT) fusion is exploited for further image segmentation. Also, an Artificial Bee Colony (ABC) optimization technique is adopted for effective smoothing the image to make decisiveimage classification. Using fuzzy c -means clustering classificationwe can detect changed pixels and unchanged pixels.Finally, theresults are comparedwith DWT-FCM (without optimization), GeneticAlgorithm (GA)optimizationand proposed ABC optimizationAlgorithm. The performance of proposed technique iscomparedin terms ofaccuracy, sensitivity, precision and F1 – score.
Malicious Attack Detector

The taint URLs guide the client to suspicious websites which collects the users invaluable information and exploit their system. Here we propose an authentication based approach to detect such websites. We developed a tool called Analyzer an enhanced browser prevent the user from malicious attack. It analyze the website using EWLSVM (Ehnanced Weighted Least Square Twin Support Vector Machine) machine learning algorithm to find the website is malicious or not. The proposed approach is compared with existing approaches which reports low false positive and false negative. The experimental approach shows the proposed approach correctly detects all phishing and genuine website without any false positive and negatives. It overcomes many drawback of the existing signature based approaches
Comparative Analysis of AES and RC4 Algorithms for Better Utilization

--In the today world, security is required to transmit confidential information over the network. Security is also demanding in wide range of applications. Cryptographic algorithms play a vital role in providing the data security against malicious attacks. But on the other hand, they consume significant amount of computing resources like CPU time, memory, encryption time etc. Normally, symmetric key algorithms are used over asymmetric key algorithms as they are very fast in nature. Symmetric algorithms are classified as block cipher and stream ciphers algorithms. In this paper, we compare the AES algorithm with different modes of operation (block cipher) and RC4 algorithm (stream cipher) in terms of CPU time, encryption time, memory utilization and throughput at different settings like variable key size and variable data packet size.
Image Classification using Convolution Neural Network

: Convolution neural network has been mostly used for image classification in machine learning and computer vision. In simple neural network, single layer’s feature may not contain enough useful information to predict image class correctly [6]. Using a feed forward CNN, misclassification rate can be reduced by some additional layers that contain acceptable information to predict image class. Also gradient based learning algorithm can be improved to synthesize complex decision that classify high dimensional pattern such as object edges and shape. In this paper, we make effort to modify standard neural network to transfer more information layer to layer. Moreover, already learned CNN model with training images are used to extract features from multiple layers. In this experiment, MNIST and CIFAR 10 dataset have been used to classify random images in 10 different classes labelled airplane, automobile, bird, cat, deer, dog, frog, horse, ship and truck. In the addition, GPU can train CNN faster without giving the preference to hardware.
FACTORS INFLUENCING WAITING TIME IN OUTPATIENT PHARMACY OF LAGOS UNIVERSITY TEACHING HOSPITAL

Time, money and expertise are resources that are indispensable to productivity, performance, efficiency, success and growth of any health institution. This research was aimed at identifying and measuring some of the factors influencing patient waiting time in an outpatient pharmacy. The study employed the use of time monitoring card and time study analysis to volunteered participants. A situation analysis conducted revealed an average of 167 minutes of waiting time. The dispensing time averaged 17.65 minutes, and 67.97% of total waiting time by the patient was due to delay components. The major delay components included patient queues for billing of prescription sheets, payment to the cashier and subsequent time wait before drugs are dispensed. The total waiting time for the dispensing process averaged 55.11 minutes. Generally, there were undue delays caused by the dispensing procedure with a 32.03% lag of processing components and operations in the pharmacy. Factors indentified to influence the outpatient waiting time included, queuing and queuing characteristics-type and integrity of queue, adherence to hospital visits and medication for special disease programs, dispensing time, average waiting time (service time plus queuing time), nature of illness or disease presentation, admission status of patient(s), accrued time from other health services provided to the patient prior to services provided by the pharmacist, incentives for providing efficient services, management structures and operational procedures of outpatient hospital pharmacy, implementation of legal rights on waiting time, inadequate treatment or dispensing facilities, technological innovations of automation and computerization , service efficiency and internal operational factors.
Studies on phytochemicals, antibacterial efficacy and antioxidant potency of Capparis sepiaria on enteric pathogens

In this investigation, Capparis sepiaria was analysed for its phytochemical constituents qualitatively and quantitatively. The antibacterial property of aqueous, ethanolic and hexane extracts of Capparis sepiaria was studied against different bacteria include Escherichia coli, Proteus mirabilis, Salmonella typhi, Enterobacter aerogenes, and Shigella flexineri. Hexane extract of Capparis sepiaria showed the maximum growth inhibition zone of 20.4±0.2 mm at concentration of 500 mg against Salmonella typhi. Please mention the highest inhibition result including extract name and concentration. The antioxidant effect of those extracts was also studied against α-tocopherol as a control. From the results, Alkaloids, flavonoids, saponins, and tannins were revealed to be present in Capparis sepiaria. Ethanol extract at the concentration of 500 μg/ml showed 57.81% antioxidant activity against 500 μg/ml of αtocopherol which showed 66.76% as a standard reference. Corresponding Author: S Mohana Sundaram  sbmohan2007@gmail.com International Journal of Biomolecules and Biomedicine (IJBB) ISSN: 2221-1063 (Print) 2222-503X (Online) Vol. 1, No.3, p. 1-7, 2011 http://www.innspub. net
Thyroid Carcinoma in Retrosternal Goiter Cases

Retrosternal goiter is the existence of larger than 50% of the thyroid mass at mediastinum, under the sternal notch. Materials and Methods: In this study clinical features, radiological features and treatment results of 15 patients with retrosternal thyroid between 2006 and 2008 were analyzed retrospectively. Results: The average age of the patients is 48.2 (28-67). Tvvelve (80%) patients were symptomatic at presentation, with choking, dyspnea and dysphagia. Three (%20) patients had Pemberton signs. At the radiological evaluation six (40%) patients had com-pression at the surrounding tissue. A classical cervical approach was used and five (%33) patients required sternotomy and two (%13.3) patients required thoracotomy. Three (20%) patients undement neck dissection. Average thyroid size was found to be 9.1 cm (7.6-10) and nodule size was found to be 6.4 (3.1-9) cm at the sternotomy group. In only one of our patients preoperative fine-needle aspiration biopsy was diagnosed with a malignancy, yet in 9 patients malignancies were identified after the surgery. Conclusion: In patients with retrosternal thyroid, surgery must be planned in order to prevent the increase in the frequency of malignancy and to avoid compression symptoms. Surgical procedures like sternotomy and thoracotomy are additional surgical procedures in appropriate cases without any increase in morbidity and they can be added safely to thyroidectomy.
Nanotubes: A step further in implants

Understanding the biocomplexity of cell behavior in relation to the topographical characteristics of implants is essential for successful osseointegration with good longevity and minimum failure. The aim of a brighter, better and long-lasting dental implant has lead to the entry of nanotubes that can battle infection, improve healing, and help dental implants last a lifetime. Nanotubes have been in use in orthopedic implants but have not found its way yet into dental implants. This article reviews the advantages and application of nanotubes in dental implants.
Death by Denigration: Psychological, Physiological and Mortality Effects of Ageism

Most people have the luxury of growing up as members of the majority in society, thus avoiding the stereotype and prejudice inevitably attendant on being part of a minority group. Such a happy lot, however, is merely transitory, for all of us who reach old age-ironically, a vast majority-will join a people for whom that flavour of prejudice and stereotype known as ageism is a daily occurrence. Ageism was first described as "another form of bigotry" (Butler 1969), and more recently defined as creating a situation whereby "the elderly in our society find themselves viewed in a predominantly negative fashion, victims of a pervasive form of discrimination and disparagement". The negative effects of such prejudice on how the elderly are treated by society and on their own self-esteem are only too wellknown, and it is not the purpose of this discussion to restate them once again. Rather, the focus of this essay is on interesting new research which suggests that ageism may go further than the social or psychological, and have serious negative physical effects, including decline in cognitive function (Levy, 1996) and altered autonomic reactivity. Such claims are examined below, beginning with an analysis of the nature of stereotypes of the elderly and then considering how these impact on old people's views of themselves. The discussion then assesses the validity of the proposed links between such views and both cognitive function and cardiovascular response to stress. This thread of research culminates in a recent paper which proposes a link between how the middle aged and elderly view themselves in terms of aging, and mortality up to twenty years later (Levy et al., 2002).
Spin Crisis of Proton and Baryon’s Magnetic Moment

At the end of the 1960s, a collaboration of physici sts from the Massachusetts Institute of Technology and the Stanford Linear Accelerator Center (SLAC) studied t he inner structure of nucleons by passing a high-en ergy beam of electrons through liquid hydrogen. In the mid-19 80s experimental results indicated that essentially none of a nucleon’s spin was attributable to its quarks’ spin s. That surprise birthed the “spin crisis. ” EMC dee p inelastic experiment using a polarized muon beam scattering o a polarized hadron target has raised serious ques tion about spin crisis. The proton spin crisis (sometime s called the proton spin puzzle) is a theoretical c risis precipitated by an experiment carried out by EMC (E uropean Muon collaboration) in 1987 at CERN. This experiment has shocked the particle physics communi ty; none or little proton's spin can be attributed to the spin of three constituent quarks, two up and one down quark . The concept of rotating proton has been first emp hasized by Chou and Yang in 1974. In continuation, there were several attempts; the baryon magnetic moment has be en executed to explain the importance of constituent q uark rotation. In 1999 M Casu and LM Sehgal in his paper proposed a successful model with collective quark r otation is used in discussing proton's spin and bar yon magnetic moment. After this so many attempts has been tried to get the fitting parameters to the experimental r esults. Li and X Cai a model with collective quark rotation is use d with great success to get the better fits to the experimental results. The contribution from the orbital angular moment with some additional modifications we have c alculated to better fits.