Miracle-dz/UniFAR-FTUs huggingface dataset:
Social Mining to Improve the Computational Efficiency Using MapReduce

-Graphs are widely used in large scale social network analysis. Graph mining increasingly important in modelling complicated structures such as circuits, images, web, biological networks and social networks. The major problems occur in this graph mining are computational efficiency (CE) and frequent sub graph mining (FSM). Computational Efficiency describes the extent to which the time, effort or efficiency which use computing technology in information processing. Frequent Subgraph Mining is the mechanism of candidate generation without duplicates. FSM faces the problem on counting the instances of the patterns in the dataset and counting of instances for graphs. The main objective of this project is to address CE and FSM problems. The paper cited in the reference proposes an algorithm called Mirage algorithm to solve queries using sub graph mining. The proposed work focuses on enhancing An Iterative MapReduce based Frequent Subgraph Mining Algorithm (MIRAGE) to consider optimum computational efficiency. The test data to be considered for this mining algorithm can be from any domains such as medical, text and social data’s (twitter). The major contributions are: an iterative MapReduce based frequent subgraph mining algorithm called MIRAGE used to address the frequent subgraph mining problem. Computational Efficiency will be increased through MIRAGE algorithm over Matrix Vector Multiplication. Performance of the MIRAGE will be demonstrated through different synthetic as well as real world datasets. The main aim is to improvise the existing algorithm to enhance Computational Efficiency.
A Survey of Several Routing Protocols for MANETs

:-- Mobile Ad hoc networks (MANET) are autonomously self organized networks without infrastructure support. Nodes in MANET normally have limited transmission ranges, Some nodes cannot communicate directly with each other. Hence, routing paths in mobile ad hoc networks potentially contain multiple hops, and every node in mobile ad hoc networks has the responsibility to act as a router. In proactive routing protocols, each node maintains routing information to every node in the network. But it is high in overhead and information is flooded in whole network. In reactive protocols reduce the overheads by maintaining information for active routes only. Hybrid protocol new generation of protocol was designed to increase the scalability and to reduce the route discovery overheads. Even though hybrid protocol suits for large networks, it complexity is increases i.e. High traffic and significant reduction in throughput when it expands in scale. In order to increase the scalability the route discovery and route maintenance must be controlled. Depends upon the network traffic and number of flows the routing protocol should be chosen. Hybrid protocol is association of the advantage of the both proactive and reactive routing protocol. To implement this, use sequence numbering in destination routing protocol to avoid the complexity in larger networks.
Clustering high-dimensional data derived from Feature Selection Algorithm

: Clustering high-dimensional data is the cluster analysis of data with anywhere from a few dozen to many thousands of dimensions. Such high-dimensional data spaces are often encountered in areas such as medicine, where DNA microarray technology can produce a large number of measurements at once, and the clustering of text documents, where, if a word-frequency vector is used, the number of dimensions equals the size. Feature selection is the process of identifying a subset of the most useful features that produces compatible results as the original entire set of features. A feature selection algorithm may be evaluated from both the efficiency and effectiveness points of view. While the efficiency concerns the time required to find a subset of features, the effectiveness is related to the quality of the subset of features. Based on these criteria, a FAST clustering-based feature Selection algorithm (FAST) is proposed and experimentally evaluated. Features in different clusters are relatively independent; the clustering-based strategy of FAST has a high probability of producing a subset of useful and independent features.
Semi-classical measures and entropy [after Nalini Anantharaman and Stéphane Nonnenmacher]

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Successful Retrieval of Retained Video Capsule Endoscope Using Double Balloon Enteroscope: A Case Report and Review of Literature

ABSTRACT Video capsule endoscopy is now the first-line tool in evaluating and diagnosing obscure gastrointestinal bleeding, inflammatory bowel disease, and small bowel neoplasms. Capsule retention is an uncommon but clinically significant complication. How to best retrieve these retained capsules is currently being debated. In this case report, we describe a retained capsule successfully retrieved using double-balloon enteroscopy. This case also highlights the fact that capsule retention can occur even in the absence of signs and symptoms suggestive of intestinal obstruction.
Systematization of Threats and Requirements for Private Messaging with Untrusted Servers: The Case of e-Mailing and Instant Messaging

: Modern email and instant messaging applications often offer private communications. In doing so, they share common concerns about how security and privacy can be compromised, how they should face similar threats, and how to comply with comparable system requirements. Assuming a scenario where servers may not be trusted, we review and analyze a list of threats speciﬁcally against message delivering, archiving, and contact synchronization. We also describe a list of requirements intended for whom undertakes the task of implementing secure and private messaging. The cryptographic solutions available to mitigate the threats and to comply with the requirements may differ, as the two applications are built on different assumptions and technologies.
Security Aspects of Mobile Ad hoc Networks: A Review

: The Mobile Ad-Hoc Network is the decentralized network in which mobile nodes can join or leave the network when they want. Due to such unique property of the network malicious node trigger various type of active and passive attacks. The active attacks affected network performance in term of certain parameters. This review paper, various security aspects are reviewed and analyzed in terms of certain parameters.
TextExerciser: Feedback-driven Text Input Exercising for Android Applications

Dynamic analysis of Android apps is often used together with an exerciser to increase its code coverage. One big obstacle in designing such Android app exercisers comes from the existence of text-based inputs, which are often constrained by the nature of the input field, such as the length and character restrictions.In this paper, we propose TextExerciser, an iterative, feedback-driven text input exerciser, which generates text inputs for Android apps. Our key insight is that Android apps often provide feedback, called hints, for malformed inputs so that our system can utilize such hints to improve the input generation.We implemented a prototype of TextExerciser and evaluated it by comparing TextExerciser with state-of-the-art exercisers, such as The Monkey and DroidBot. Our evaluation shows that TextExerciser can achieve significantly higher code coverage and trigger more sensitive behaviors than these tools. We also combine TextExerciser with dynamic analysis tools and show they are able to detect more privacy leaks and vulnerabilities with TextExerciser than with existing exercisers. Particularly, existing tools, under the help of TextExerciser, find several new vulnerabilities, such as one user credential leak in a popular social app with more than 10,000,000 downloads.
Acute Phase Reactant Profile of Subjects with Prediabetes and Type 2 Diabetes Mellitus

Aim: The aim of the study is to examine the acute phase reactants in the backdrop of insulin resistance represented by prediabetic and overt diabetic states. Study Design: Cross sectional study Place and Duration of the Study: The study was undertaken at Rajarajeswari Medical college and Hospital, Bengaluru for around six months between July 2013 and December 2013. Methodology: The study consists of three groups. We incorporated the World health organisation criteria for the diagnosis of prediabetes and type 2 diabetes mellitus. Accordingly forty seven adults were included in the first prediabetic group, the second group comprised of thirty seven type 2 diabetes mellitus patients. Thirty age and sex matched healthy volunteers constitued the third group. We intend to study High sensitive C reactive protein, serum albumin and serum uric acid levels, estimated by standard methods in the three groups. Results: The Mean and standard deviation of HsCRP in prediabetic, T2DM and controls are 4.09±1.29, 3.38±1.41 and 1.68±0.51 mg//L respectively (p=0.030) in the present study. The serum albumin levels exhibit a statistically significant (p=0.001) downward trend from 4.67±0.49 g/dl in the Original Research Article Chandrika and Usha; IJBCRR, 19(4): 1-6, 2017; Article no.IJBCRR. 37785 2 healthy controls to 4.01±0.44 g/ dl in prediabetics and 3.96±0.55 g/dl in diabetics. We have not noticed any statistically significant difference in the levels of uric acid among the three groups. Conclusion: The acute phase reactant profile corresponds to the inflammatory environment and worsens as the disease progresses, in a metabolic disorder like T2DM, which is apparently evident in our study.
Female low income workers and AIDS in Jamaica.

In Kingston Jamaica focus groups structured interviews and/or in-depth interviews were conducted with women working as informal commercial importers (ICIs) and women working as free zone workers (FZWs) so researchers could examine the social cultural and psychological factors that influence decision making and behavior and those factors that elevate the risk of HIV infections in these two groups of working women who were generally similar to each other and to the overall population of urban working women. They also aimed to develop and pretest an educational videotape focusing on risk behaviors as well as strategies for behavior change and health maintenance that reflect the sociocultural context of relationships. They planned to use the findings to identify additional intervention strategies that aim to reduce the incidence of AIDS and other sexually transmitted diseases (STDs) in these two groups. Most women were in a union and had secondary education and low parity. ICIs were more likely than FZWs to go to locations in Jamaica where HIV/AIDS is more prevalent. The women had very high knowledge levels about HIV/AIDS and other STDs (e.g. high-risk sexual behaviors); yet most women did not practice safer vaginal sex. Some women from both groups had sexual intercourse with partners other than their primary partners largely due to the need for financial security. The women were more likely to be involved in serial multiple partnerships while their partners were more likely to be involved in simultaneous multiple partnerships suggesting that women were at greatest risk of HIV infection from their primary partners. Most women did not believe that they were at risk of HIV or that HIV/AIDS was more important than any of the economic and other problems they face. The video was entitled Human Roulette. The story was of two women: one is sexually active with multiple partners; the other one has a long relationship with a man who has extramarital relations. It stimulated a lively discussion about HIV prevention strategies. Educational campaigns should emphasize that sexual health is the responsibility of both partners.
An Educational Intervention to Alleviate the Effects of Burden of Chronic Illness Care: Presentation of a Caregiver Toolkit to Increase Awareness Among Primary Care Providers and Family Caregivers

Background: The risk for burden among caregivers who provide care to elders with chronic illnesses is significant due to the negative effects on a caregiver as evidenced by psychological distress, depression, anxiety, social isolation, poor quality of life, and ineffective coping. Identifying caregivers who experience this burden is crucial to be able provide them with the opportunity to participate in community programs that focus on caregiver health. Purpose: The purpose of the integrative review DNP project was to highlight the importance of a psychoeducational and psychosocial training program, Powerful Tools for Caregivers (PTC), to increase awareness among Primary Care providers and caregivers. The PTC program demonstrated a positive effect in physical, psychological, and social well-being and helped caregivers’ to cope and communicate more effectively in the caregiving role. Toolkit: Creating a Caregiver Toolkit that consisted of information pertaining to the PTC program and community resources educated Primary Care providers and can assist them in identifying burden and service referral. The toolkit can also help caregivers to create community ties with both professional and nonprofessional services and support. Clinical Implications: Use of a Caregiver Toolkit in Primary Care helped to increase the knowledge among providers and family caregivers and focused on the use of community resources, support over the caregiving trajectory, and effective communication between caregivers and providers. Awareness of the PTC program among providers and caregivers positively correlated with a decrease in this burden, improved health status, and functioning, which lead to enhanced coping, problem solving, and communication.
Impact of type – II diabetes mellitus on forced vital capacity

Introduction: Diabetes mellitus is a metabolic disorder characterised by hyperglycemia and affecting multisystem organs of the body. In Lungs, diabetes causes thickened alveolar epithelium and capillary basal lamina leading to decrease elastic recoil and lung volume. So, present study is done to evaluate the impact of type - II diabetes mellitus on Forced Vital Capacity (FVC). Materials and Method: 40 known diabetic patients having diabetes for more than 5 years and 40 healthy controls of both sexes were taken from October 2010 to September 2012. Age, sex, height, weight and Body Surface Area (BSA) were recorded and matched for both cases and controls. Computerized Spirometry was performed for both cases and controls. FVC values were recorded, compared and analysed by using student t-test. Result and Conclusion: FVC was found to be decreased in Type-2 diabetes mellitus, which was statistically significant thus indicating restrictive pattern of lung disease. Keywords: Diabetes, type - II diabetes, Forced Vital Capacity (FVC), Body Surface Area (BSA)
A SURVEY ON NOVEL AND ROBUST MEDICAL WATERMARKING SCHEMES

: In this paper a brief conversation on survey of dissimilar features of novel and robust digital image watermarking schemes are focused. The present survey includes the broad concepts such as major features of digital watermark, different categories of watermarking schemes, various evaluation parameters for digital watermarking schemes along with the recent state-of-art watermarking techniques. Further, this survey will influence the researchers towards the development of robust and secure watermarking schemes to safeguard integrity and confidentiality of patient’s critical medical data, counter to unauthorized access besides securing e governance applications.
Translating Overactive Bladder Questionnaires in Moroccan Arabic Dialect

Objective: linguistic validation in Moroccan Arabic dialect of overactive bladder questionnaires OAB-q, developed and validated initially in English. Materials and Methods: Questionnaire OAB-q Moroccan Arabic dialect version was obtained after a double translation (English-Arabic), a back translation (Arabic-English), a journal of translations by three experts, comprehension tests and cultural adaptation on a sample of 10 patients with overactive bladder syndrome. Results: The OAB-q in two parts. The first eight items had assessed the discomfort associated with symptoms of overactive bladder (urinary frequency day and night, urgency and urge incontinence). The second included 25 items and measured the impact on quality of life (coping behavior, embarrassment, sleep, social interactions). The conceptual and cultural adaptation was performed on a sample of 10 patients (5 with multiple sclerosis, 5 spinal cord injuries), the average age is 42, 4 /﹣7.6, the sex ratio is 1. Discussion and Conclusion: OAB-q has been validated in men and women with symptoms of overactive bladder with or without incontinence (a neurological or not). Internal consistency and discriminative construct validity were demonstrated. It has been well validated in patients with multiple sclerosis and spinal cord injury. The linguistic validation Moroccan Arabic dialect is the initial step pending a psychometric validation with larger number of patients.
The Performance of Emotion Classifiers for Children With Parent-Reported Autism: Quantitative Feasibility Study

Background Autism spectrum disorder (ASD) is a developmental disorder characterized by deficits in social communication and interaction, and restricted and repetitive behaviors and interests. The incidence of ASD has increased in recent years; it is now estimated that approximately 1 in 40 children in the United States are affected. Due in part to increasing prevalence, access to treatment has become constrained. Hope lies in mobile solutions that provide therapy through artificial intelligence (AI) approaches, including facial and emotion detection AI models developed by mainstream cloud providers, available directly to consumers. However, these solutions may not be sufficiently trained for use in pediatric populations. Objective Emotion classifiers available off-the-shelf to the general public through Microsoft, Amazon, Google, and Sighthound are well-suited to the pediatric population, and could be used for developing mobile therapies targeting aspects of social communication and interaction, perhaps accelerating innovation in this space. This study aimed to test these classifiers directly with image data from children with parent-reported ASD recruited through crowdsourcing. Methods We used a mobile game called Guess What? that challenges a child to act out a series of prompts displayed on the screen of the smartphone held on the forehead of his or her care provider. The game is intended to be a fun and engaging way for the child and parent to interact socially, for example, the parent attempting to guess what emotion the child is acting out (eg, surprised, scared, or disgusted). During a 90-second game session, as many as 50 prompts are shown while the child acts, and the video records the actions and expressions of the child. Due in part to the fun nature of the game, it is a viable way to remotely engage pediatric populations, including the autism population through crowdsourcing. We recruited 21 children with ASD to play the game and gathered 2602 emotive frames following their game sessions. These data were used to evaluate the accuracy and performance of four state-of-the-art facial emotion classifiers to develop an understanding of the feasibility of these platforms for pediatric research. Results All classifiers performed poorly for every evaluated emotion except happy. None of the classifiers correctly labeled over 60.18% (1566/2602) of the evaluated frames. Moreover, none of the classifiers correctly identified more than 11% (6/51) of the angry frames and 14% (10/69) of the disgust frames. Conclusions The findings suggest that commercial emotion classifiers may be insufficiently trained for use in digital approaches to autism treatment and treatment tracking. Secure, privacy-preserving methods to increase labeled training data are needed to boost the models’ performance before they can be used in AI-enabled approaches to social therapy of the kind that is common in autism treatments.
Part I - Sudden Cardiac Death in Athletes Pathophysiologic Screening: A Transformative Solution to a Social Imperative

Timothy E. Paterick1*, Naila Choudhary2, Krishnaswamy Chandrasekaran3, A. Jamil Tajik5 and Jim Seward4 1Professor of Medicine, Director of Noninvasive Imaging, University of Florida College of Medicine, Jacksonville FL, USA 2Cardiology Fellow, University of Florida College of Medicine, Jacksonville FL, USA 3Professor of Medicine, Mayo College of Medicine, Rochester, MN, USA 5Professor of Adult and Pediatric Cardiology, Emeritus Nasseff Professor of Cardiology Mayo Clinic, Rochester, MN, USA 4Professor of Cardiology, Pediatrics and Adult Congenital Heart Disease, Aurora St. Luke’s Medical Center, Milwaukee WI, USA Journal of Exercise, Sports & Orthopedics Open Access Review Article
Our Surgical Experience in Chronic Pancreatitis

Objective: Chronic pancreatitis is an inflammatory disease that causes progressive destruction of the pancreas and is characterized by recurrent abdominal pain. Various surgical procedures have been identified to treat this disease. In this study, we aimed to present our experience in a variety of surgical indications in patients with chronic pancreatitis. Methods: Between December 2012 and January 2016, eight patients underwent surgery for chronic pancreatitis in our clinic. The etiology of chronic pancreatitis, implementation of the operation with surgical indications, mortality, morbidity, and clinical outcomes were assessed. Results: Of the patients included in the study, two were females and six were males. The average age of the patients was 41.7 years (range, 20-62 years). Two patients had chronic pancreatitis due to autoimmune pancreatitis. Beger procedure was performed for these patients. In three patients with idiopathic chronic pancreatitis, the pancreatic duct was severely dilated and there were widespread stones along the pancreatic canal. These patients underwent modified Puestow pancreaticojejunostomy. One patient who had severe abdominal pain was treated with Whipple procedure and an other patient with total pancreatectomy. One patient who had a suspected mass on pancreatic head was treated with Whipple procedure. Surgical wound infection developed in one patient. No cases of mortality was observed. Nearly complete pain relief was observed in postoperative short-time follow-up period. Conclusion: Chronic pancreatitis is a rarely observed disease, which requires long-term and multidisciplinary follow-up. In selective cases, appropriate surgical procedures may provide an effective treatment option with low mortality and morbidity rates.
Algorithm for the Recognition of a Silhouette of a Person from an Image

—The tasks of recognizing people from images or videos are still considered complex for a computer because the pattern of a person has many variants and can be confusing with the pattern of an object or an animal. The objective of this research was to construct an algorithm that allows identifying the silhouette of a person from an image captured by a camera. The methodology used was a review of the literature and a framework that proposed three basic components: The unidentified pattern, the identification process, and the recognized pattern. Once the algorithm model was put to a test as a function of the Mat lab (Support Vector Machines (SVM)), the identification of patterns with people was achieved in four ways, when a person is upright.