Miracle-dz/UniFAR-FTUs huggingface dataset:
Early outcome predictors of post cardiac arrest patients

When pulse and blood pressure return after cardiopulmonary resuscitation (CPR), the brain may have already been critically injured. When severe, a post resuscitation anoxic-ischemic encephalopathy leaves patients comatose. Awakening generally takes place within 3 days after CPR, and neurological impairment is expected if a patient fails to do so. These patients are often left in a severely cognitively disabled and fully dependent state; some remain in a minimally conscious or vegetative state, and very few awaken neurologically. The aim of this research was to evaluate the efficacy of some clinical, radiological, electrophysiological and laboratory tests as early predictors of the outcome in post arrest patients. This study was carried out on 54 patientsin critical care department of Alexandria university main hospital in Egyptwho survived after successful cardiopulmonary resuscitation for at least 12 hours after the event. All patients were subjected to the routine ICU care with emphasis on neurological examination and investigations in the form of CT brain, SomatoSensory Evoked Potential and serial serum creatinine measurement. Outcome evaluation was done using GlasgowPittsburgh Cerebral Performance Categories (GP-CPC). Patients were categorized into two groups: group 1 (favourable outcome) including GPCPC1and 2; group 2 (unfavourable outcome) included GP-CPC 3,4 and 5. Regarding the neurological assessment of patients , it was found that 4 out of 24 patients (16.7%) developed myoclonus in group I versus 7 patients out of 30 (23%) in group II with no significant difference between the 2 groups. The (SEP) results were significantly better in group I compared to group II (p= 0.0001*). Significant higher creatinine level was recorded in day 2 in group II being 1.6±1.1 versus 1.31± 0.78 in group I (P =0.045*). No significant statistical difference was found between the 2 groups regarding the CT results. As a conclusion from this study, the duration of cardiac arrest, the SSEP and the changes in serum creatinine are the parameters which carry the highest ability to differentiate between patients with good prognosis from those with bad prognosis. No gold standard single test can be used to predict the prognosis in post cardiac arrest patients. [Abouelela Amr, Imam Mohamed. Early outcome predictors of post cardiac arrest patients. Journal of American Science 2012; 8(1):23-28]. (ISSN: 1545-1003). http://www.americanscience. org.
Comparative Assessment of Gate Leakage Mechanism of AlGaN/GaN HEMT With and Without AlN Spacer

In this paper, a surface potential-based compact model on gate leakage mechanism is developed for AlGaN/GaN high electron mobility transistor. Comparative study on gate leakage current has been carried out without and with AlN spacer. The forward bias and reverse bias gate current of AlGaN/GaN HEMTs is decomposed into two distinct components, which are Poole-Frenkel (PE) emission and Thermionic emission (TE). In both sets of devices, an additional trap-assisted tunneling component of current is observed at low reverse bias. The developed model is in excellent agreement with experimental data.
SECURITY ANALYSIS OF NETWORK PROTOCOLS

This paper presents the study of network protocol in respect of security . In this paper a study of various papers and articles is done, and in this paper we explain two central problems associated with the design and security analysis of network protocols that use cryptographic primitives. The main goal is to develop methods for proving properties of complex protocols by combining independent proofs of their parts
Design and Implementation of Sub Modules of Successive Approximation Register A/D Converter

— This paper describes the implementation of a 8-bit 50 MS/s SAR ADC using 180nm TSMC CMOS VLSI Process in Mentor Graphics. Here main building blocks of SAR ADC like comparator, sample and hold, SAR Register and DAC are implemented. The supply voltage for this SAR ADC is ±1.8 V. The simulation result shows speed of 50 MHz achieved with input frequency of 1 MHz and power dissipation of 0.2v.
MICROBIOLOGICAL PROFILE OF SPONTANEOUS BACTERIAL PERITONITIS IN PATIENTS WITH LIVER CIRRHOSIS, A CROSS SECTIONAL HOSPITAL BASED STUDY IN SOUTH – INDIA

Introduction: Spontaneous bacterial peritonitis (SBP) is one of the leading causes of morbidity and mortality in patients with cirrhosis. Spontaneous Bacterial Peritonitis is defined as the infection of ascitic fluid without any primary source of infection such as intra-abdominal pathology or perforation of intestine or viscus. Aims and Objectives: The aim of present study is to determine the microbial agents responsible for SBP and the pattern of antibiotic sensitivity. Material and Methods: This Cross sectional hospital based study, was conducted in a tertiary care referral centre over a period of one year from March 2016 – April 2017, after obtaining approval from institutional ethical committee and consent from the patients. 198 ascitis fluid samples from clinically suspected cases of SBP were included in the study. Gram staining & Ascitic fluid culture was done in all patients using Bactec method and antibiotic sensitivity was assessed by disk diffusion technique. Microbiologic profile and antibiotic sensitivity pattern was recorded in all patients. Results: Out of 198 clinically suspected cases of SBP, 76 (38.38 %) had ascitic fluid polymorphonuclear cells (PMN) count ≥ 250/mm3. Among 76 cases, 31 (40.7 %) cases were culture positive and 45 (59.2 %) cases were culture-negative neutrocytic ascites. From 31 culture-positive cases, E. coli was the most common isolated organism followed by Klebsiella Pneumoniae & Enterobacter. Isolated organisms were E Coli in 11 (35.4%), Klebsiella Pneumoniae 7 (22.5%), Enterobacter 5 (16.1%), Pseudomonas aeruginosa 3 (9.6%), Acinetobacter and Enterococus in 2 (6.4%) cases each. Staphylococcus aureus was isolated from 1 (3.2%) cases. Of the 31 cultures only 2 (6.4%) were due to ESBL producing organisms. One patient with E.coli and one with Pseudomonas infection were World Journal of Pharmaceutical Research SJIF Impact Factor 8.074 Volume 8, Issue 9, 1321-1326. Research Article ISSN 2277– 7105 Article Received on 14 June 2019, Revised on 05 July 2019, Accepted on 26 July 2019, DOI: 10.20959/wjpr20199-15540 *Corresponding Author
The Family Management Styles Framework as A Tool for Tailoring Interventions for Pediatric Transplant Recipients and Their Families: A Case Study

ABSTRACT The aim of this research study was to explore family management in pediatric liver transplantation. This qualitative case study research project used a hybrid model of thematic analysis methodology and employed the Family Management Style Framework (FMSF) as the theoretical framework. Four families of transplanted children who were outpatients in a public hospital in Brazil were analyzed in depth through interviews and analysis of medical records in the parent study. In this article, the case of 1 of those families is presented. The results show that the family defines the condition as threatening, and has dichotomous feelings about the child’s identity, sometimes seen as “special” and other times as “like any other child. ” The family’s perceived consequences, one of the FMSF dimensions, bring uncertainty about the future as an important issue that deserves nursing attention. A deeper understanding of family management can promote informed discussions about the best interventions for this and other similarly affected families. The use of the FMSF in evaluating family management in pediatric transplantation and other chronic pediatric conditions can aid pediatric nurses and other nursing professionals in planning tailored interventions that maximize patient and family outcomes.
Design and Development of School Management System with Database Encryption and Decryption

School Management System is an information system primarily developed to computerize, integrate and control all the activities involved in the collation and processing of student data mostly the academic records. The system not only makes student results collation fast but also easy and error free. It also makes the pool of data possible and information readily available and decision making fast. The system provides solution to the problems encountered in school management. There are numerous challenges and difficulties faced by school managers in making sure they come up with vital decisions and quality services to her valued students and customers. These things cannot be achieved through manual operations. Though, the use of paper works in school administration cannot be completely written off, the School Management System is developed to enhance and boast the general school administration. The System is implemented to specifications using NET BEANS IDE 8.1 at the front end and SQLite database at the back end. Symmetric data encryption model is used to ensure maximum security, since the validity and integrity of information depends on who had an access to it. School Management System is able to generate academic results, transcripts, timetable, registration of students, matters regarding welfare of students among other things.
Application of Carbon Nanotubes(CNT) on The Computer Science and Electrical Engineering:A Review

In recent years, dimensions and sizes of components and parts in thecomputer and electronic industries have been steadily reducing, as they arenow considered very tiny tools and there is always a need to store andprocess information stronger. Nanotubes have poor magnetic properties. Ifnanotubes are covered by ferromagnetic nanoparticles, their magneticproperties can be improved and they can be used in the manufacture ofnanoelectronic devices in the computer and electronic industries. In additionto reviewing the structure and properties of materials made using differentnanomaterials for use in the computer and electronic industries, the presentpaper aimed to study different applications of nanomaterials, especiallycarbon nanotubes, in the manufacture of electronic devices. The presentstudy showed that the corporation of nanomaterials into electronic devices isa promising approach for future applications which can revolutionize thecomputer industry.
Analysis of LEACH Algorithm in Wireless Sensor Network

— Neural networks are good at classification, forecasting and recognition. They are also good candidates of financial forecasting tools. Forecasting is often used in the decision making process. Neural network training is an art. Trading based on neural network outputs, or trading strategy is also an art. We will discuss a seven-step neural network forecasting model building approach in this article. Pre and post data processing/analysis skills, data sampling, training criteria and model recommendation will also be covered in this article
Android based Cost-Efficient AI Attendance System

— ‘ Mark ME! ’ is an attendance system with enough flexibility in attendance marking through fingerprint verification, facial recognition, QR code scanning and NFC scanning. It also comes with a dedicated web dashboard that allows the manager or the institution to view attendances,automated e-mail alert delivery system and a machine learning based proxy attendance detection system. The app is also reverse compatible, meaning that once it is installed on an android phone, it can either act like a traditional attendance scanner(Reader mode) or in mobile mode, where the NFC tag or QR code is attached on each desk in the work place and the user with the app can scan it to mark the attendance.
Psychiatric Comorbidity in Essential Hypertension

The prevalence of essential hypertension has continued to increase worldwide, and its consequences have remained a growing concern. A number of sociodemographic and clinical variables may however serve as key determinants of the extent to which it is associated with psychiatric comorbidity as well as impairment of quality of life. The aim of this study, therefore, was to determine the sociodemographic and clinical factors that may influence the level of psychiatric comorbidity and quality of life associated with persons with essential hypertension attending the general outpatient the (UPTH). Following ethical approval and informed consent from the participants, 360 subjects making up the study group were recruited based on the study’s inclusion and exclusion criteria. A pilot study was carried out. Subjects were further administered with the study’s instruments including the socio-demographic/clinical questionnaire, GHQ-12, WHO Composite International Diagnostic Interview (WHOCIDI) and the WHOQOL-Bref. The data were analysed using the Statistical Package for Social Sciences version 16 statistical package. Confi‐ dence interval was set at 95%, while p-value of less than 0.05 was considered statisti‐ cally significant. The study found a prevalence of psychiatric comorbidity of 64.4% among the hypertensives. Among the study group, there was no significant relation‐ ship between the presence of psychiatric comorbidity and age class (p = 0.350), gender (p = 0.22), level of education (p = 043), income class (p = 0.81) and occupation. Persons who were married were significantly more likely to have a psychiatric comorbidity (p = 0.001). There was also no significant relationships between age of onset of illness (p = 0.60), duration of illness (p = 0.73), duration of treatment (p = essential hypertension should include attention to the mental health status of the sufferers. anxiety, mild-to-severe cognitive impairment, personality changes, vascular dementia and psychosis.
Stabilization of Linear/Nonlinear Autonomous Systems using Lyapunov Functions

This paper investigates the Lyapunov function construction of the linear/nonlinear autonomous systems for stability. The control Lyapunov functions are used to stabilize the system without sacrificing the transient state performance and trade-off between stability and performance of the system because safety of operation is very important then the performances of the system. The linear quadratic optimal control problems are solved based on the control Lyapunov functions for the tracking and disturbance rejection of both SISO and MIMO systems. The effectiveness of the proposed control Lyapunov functions for the system stability and performances shown through the numerically simulated examples.
The Effect of Disruption Technology, Opportunities and Challenges of Telecommunication Industry 4.0 in Indonesia

: Digitizing and disruption technology has transformed society on an unprecedented scale and speed. The telecommunications industry 4.0 is undergoing transformational development to deal with disruptive technological challenges. The telecommunications industry in Indonesia shown by a decline in voice and SMS revenues, increased regulation, technological progress, and changes in consumer needs. This study aims to comprehensively understand how telecommunications companies in Indonesia can survive from disruptive technology in digital transformations and open new opportunities for growth through the Business Model Innovation (BMI) in Industry 4.0? Exploratory case studies and literature reviews are used to test the antecedents of business model innovation. Traditional business models no longer function and adopt a new approach, traditional telecommunications business models will not succeed in facing new competition. The study identifies that in disruption technology services offer opportunities for business development and technology orientation to encourage the use of Internet-based services, increasing demand for cheaper and faster internet, and data, which results in tremendous benefits for consumers. Challenges to achieving competitive advantage the organizations are required to be influenced by business model innovations with the ability to improve market orientation and organize organizations with technological orientation capabilities, which are agile and flexible in providing sustainable customer-oriented and solutions. From a managerial perspective, this research provides a comprehensive view of what is impact by business model innovation with organizations, how to achieve it, what important variables contribute to it and how it relates to the company's business performance. The authenticity of this research lies in the description of how management emerges with a practical oriented framework of how organizations must be formed to be innovative and competitive through general arrangements of antecedents of business model innovation. This study, however, has limitations because of its qualitative nature and conceptual framework needed to further examine through large-scale surveys.
Obstetric Fistula – An Unceasing Scourge in the Developing World

Obstetric fistula is a devastating problem known to mankind from time immemorial [1]. It is an abnormal opening into the vagina leading to continuous involuntary leakage of urine and/or faeces following childbirth. The commonest type is vesicovaginal fistula. Other variants include rectovaginal fistula, urethrovaginal fistula, ureterovaginal fistula and vesicouterine fistula. It is a complication of childbirth seen among reproductive-age women who lack access to quality maternity care. It is characterized by urinary and/or faecal incontinence and the resultant shame and social exclusion [2-4].
Epidemiological Profile of Intestinal Parasitic Infections Among Children Living in Koranic Schools: A Cross Sectional Survey

Intestinal parasitic infections causes significant morbidity in worldwide. In Senegal, since 2005 mass deworming campaign has been introduced as a preventive strategy. The main objective of this study was to evaluate the prevalence of intestinal parasitic infection among children living in Koranic teaching Schools in Senegal. A cross-sectional study was conducted from January to May 2018. Koranic schools were selected using simple random sampling and data on socio-demographic characteristicsand prevalence were collected. Stool samples were collected and treated accordingly. Descriptive analysis was performed using Stata software. Significance level was set at 5%. A total of 463 children were recruited in this study. The mean age of study population was 10.93 ± 2.4. The overall prevalence of intestinal parasites was 22.68%. Poly-parasitism was detected in 20% of students. Students infected with single, double and triple parasites were 80%, 19.05% and 0.95%, respectively. The most common parasites were Entomoba coli cyst (33.33%), followed by Ascaris lumbricoides (32.38%), Giardia cyst (9.52%), Trichirus Trichiura (3.81%) and Schistosoma mansoni 0.95%. Intestinal parasites were more common in peri-urban areas (66.31%). Intestinal parasitic infection has been found to be very common in Koranic school children. Therefore, health education, improvement of learning and living conditions, and student deworming are essential.
Pure Primary Intraosseous Meningioma: A Case Report And Review Of Literature

A 60 year old lady presented with progressive increasing swelling over the scalp for 1 year and mild headache for 2 months. Examination revealed a non tender bony hard mass over the left parietal region. CT scan showed localized hyperostosis and thickening of the left parietal bone, with normal underlying brain parenchyma. The mass was surgically excised. Histopathology was suggestive of meningothelial meningioma. The case is discussed in the light of relevant literature.
Gyroscopic Effect on the Ball of Bearing with Transient and Variation Calculus Approach for Crack Analysis on Defective Bearings

ARTICLE INFO In this Paper an attempt is made in applying the gyroscopic principle, that the ball spinning in the bearing in any plane if dislocated in the downward direction due to any defect on the outer ring under a constant axial load, then a gyroscopic reactive couple tends to turn the ball in left direction. Thus there will be more impact of the ball with the left side of the bearing thus result in more vibration on that side. Further using the Euler’s equation from calculus of variation, the mechanism and path of propagation of the crack in bearings is converted into an equation and proved experimentally. Using Finite element software transient analysis is carried out to plot the time domain graph for defect on the inner and outer race along with stress analysis. An experimental test rig is designed and fabricated along with defective bearings to test the gyroscopic and transient analysis done using a Computer (PC) based FFT (Fast Fourier transform) analyzer. Keywords— Euler’s equation, reactive couple, stress, vibrations Article History Received :18 th November 2015 Received in revised form :
Big Data Education At The Chilean Academy: Is This Possible?

: Technology evolves, and the human being presents a growing need for the use and generation of large volumes of information and data (Big Data). Working with Big Data with traditional computer systems is not feasible: Including new knowledge and technology of Big Data for inclusion in professional computer and computer education is necessary. The main objective of this work is to answer whether or not the Chilean academy is prepared to train specialists in Big Data. In addition to describing theoretical and practical components of Big Data along with introducing an essential tool of the subject, this work defines and presents the results of a survey to explore and analyze the reality of the academy in Chile regarding the degree of viability to train and train professionals competent in Big Data. Necessary conditions for developing Big Data competences in the Chilean academy require more adjustments. Specifically, the Chilean academy needs to adopt Big Data topics and solutions for developing those competencies in future professionals.
A Gabor Improved Feature Extraction for Iris Recognition

- The security is the one of the major requirements for any application, network or the internet. The Biometric systems have improved this authentication process by involving human features. A Biometric System can be based on Finger technology, Iris, Voice etc. This paper presents the hybrid model with two main techniques called Eigen value & Eigen face analysis and Gabor filter. One have maintained a dataset of Iris and eye images then the user will pass the input in the form of Iris image and the comparison will be performed on both the Iris and the eye images. To perform the recognition process the PCA and the GABOR FILTER approach is used collectively. The combination of these two approaches given the improvement in terms of efficiency as well as accuracy. As the PCA gives a feature based analysis approach so that the size of training dataset is reduced. Because of this the identification time is reduced. As the feature analysis is based on Gabor filter, all aspects of the image is estimated in terms of directional effect. The image is analyzed based on radial analysis, so that the recognition rate is improved.