Miracle-dz/UniFAR-FTUs huggingface dataset:
PRIVACY PRESERVING PHOTO SHARING ON SOCIAL NETWORK

: With the development of social media technologies, sharing photos in online social networks has now become a popular way for users to maintain social connections with others. However, the rich information contained in a photo makes it easier for a malicious viewer to infer sensitive information about those who appear in the photo. How to deal with the privacy disclosure problem incurred by photo sharing has attracted much attention in recent years. When sharing a photo that involves multiple users, the publisher of the photo should take into all related users’ privacy into account. In this paper, we propose a trust-based privacy preserving mechanism for sharing such co-owned photos. The basic idea is to anonymize the original photo so that users who may suffer a high privacy loss from the sharing of the photo cannot be identified from the anonymized photo. The privacy loss to a user depends on how much he trusts the receiver of the photo. And the user’s trust in the publisher is affected by the privacy loss. The anonymiation result of a photo is controlled by a threshold specified by the publisher. We propose a greedy method for the publisher to tune the threshold, in the purpose of balancing between the privacy preserved by anonymization and the information shared with others. Simulation results demonstrate that the trust-based photo sharing mechanism is helpful to reduce the privacy loss, and the proposed threshold tuning method can bring a good payoff to the user.
Facilitating Document Annotation using content and Querying value-A Review

: Annotation is an effective information retrieval which is used to add additional information to the documents. Annotation helps to analyze and retrieve the required documents easily based on the query given by the user. Annotation can be applied to several types like images, documents etc. For annotation, firstly related attributes have to be specified. For making explication, people need to work very hard to read the content of the document thoroughly to find which statements has to be annotated. For that in this paper two performances of annotations are discussed and detail on the proposed system is explained. Firstly, CADS system is used to allow the effortless sharing of documents and at the same time serving semi structured queries in the database. LableMe is also used for the comment of image annotation. These techniques help the data or images to retrieve quickly and accurately than the existing system. The above Methods used in this paper are best for the retrieving the related documents.
International Journal of Management Sciences and Business Research, Feb-2020 ISSN (2226-8235) Vol-9, Issue 2

As global environmental pollution increases, it has great significance to explore the economic value relevance of environmental disclosure of the polluting firms, especially in emerging markets such as China. From the perspective of the capital market, we explore whether corporate environmental disclosure will reduce the cost of equity capital based on the sample data of Chinese listed companies in the most polluting industries. We find that environmental disclosure can reduce information asymmetry, help companies build a good image, obtain stronger legitimacy and identity, and ultimately reduce investors' risk-reward requirements. Further, we also find that due to differences in information determination, exposure levels, and investor demand, the negative impact of corporate environmental disclosure on the cost of equity capital will be stronger when a company has a high monopoly power or the industry is highly competitive. The conclusions of this study help to enhance the understanding of the economic consequences of corporate environmental disclosure in emerging markets, enrich research results in related fields and promote polluting companies to more actively improve the quality of environmental disclosure.
The Evaluation of Food Poisoning Determined in a University

Objectives: In June 2004, a total of 96 food poisoning cases were determined in university workers and hospitalized patients in the Afyon Kocatepe University. The causes of this food poisoning were investigated in this study. Patients and Methods: Patients had symptoms of diarrhea, abdominal pain, weakness, fever, nausea and vomiting. Cultures for bacteria were obtained from the food and patients. Microbiologic and epidemiologic study was performed. Results: Salmonella typhimurium (n=18) and Shigella dysenteria (n=25) were isolated in the samples obtained from the cases, but bacteria werena#39;t isolated from food samples. Conclusion: The food poisoning occured most likely as a result of contamination of water containers in which the food was washed. Food products should be washed in fresh and clean water to prevent further poisoning incidents. Turkish Baslik: Bir Universitede Saptanan Besin Zehirlenmesinin Incelenmesi Anahtar Kelimeler: Diyare; besin zehirlenmesi; salmonella enfeksiyonu; shigella Amac: Afyon Kocatepe Universitesia#39;nde Haziran 2004a#39;te universite calisani ve yatan hastalardan toplam 96 kiside besin zehirlenmesi saptandi. Calismamizda bu besin zehirlenmesinin nedenleri incelendi. Hastalar ve Yontemler: Hastalarda diyare, abdominal agri, zayiflik, ates, bulanti ve kusma semptomlari vardi. Hastalardan ve besinlerden kultur ornekleri alinarak mikrobiyolojik ve epidemiyolojik inceleme yapildi. Bulgular: Hastalardan alinan orneklerin 18a#39;inde Salmonella typhimurium, 25a#39;inde Shigella dysenteria uredi, fakat gida orneklerinden bakteri izole edilemedi. Sonuc: Gida zehirlenmesinin buyuk olasilikla gidalarin yikandigi su tanklarinin kontaminasyonuna bagli oldugu dusunuldu. Bu gibi zehirlenmelerin onlenmesi icin besin urunleri taze ve temiz su ile yikanmalidir.
Clinical physiology in obstetrics

New updated! The latest book from a very famous author finally comes out. Book of clinical physiology in obstetrics, as an amazing reference becomes what you need to get. What's for is this book? Are you still thinking for what the book is? Well, this is what you probably will get. You should have made proper choices for your better life. Book, as a source that may involve the facts, opinion, literature, religion, and many others are the great friends to join with.
Eye Tracking for Autism Disorder Analysis using Image Processing

Analyzing eyes performance is essential for effective functioning of human. Therefore, following their motion could help doctors to make quick and accurate diagnoses for disorders like Autism, schizophrenia, or attention deficit hyperactivity disorder. Recently, several studies investigated autism disorder diagnosis and treatment. Meanwhile, various algorithms have been provided for eye tracking. In this paper, it is intended to identify diagnosis parameters of autism disorder using eye tracking concept. The eye tracking algorithm that has been used in this research is simple and sufficient accurate to appropriate function on videos with varying quality. The direct analysis of gaze and study of the interactions of its features are employed a useful method for diagnosis of autism. For this purpose, two separate groups of ordinary children and children with autism are considered. By tracking their eyes while watching television and performing the necessary analyses then their eye movements are compared and discussed. To identify pupils is face detection Viola Jones algorithm is implemented.
Development related termination of the root apical meristem activity

Root system architecture is modulated through growth and branching of individual roots, while the growth is strictly regulated via long term apical meristem (RAM) maintenance and cell elongation. RAM activity is not consistent during root ontogeny, which was shown in several dicotyledonous species as change in root meristem structure and decline in root growth rate during individual root development. This thesis is focused on changes in extent and arrangement of meristematic tissues and their derivatives within adventitious roots of Acorus calamus and Oryza sativa during long term cultivation. Changes in meristem and elongation zone length, the root cap length, radial tissue complexity, as well as the changes in root hair emergence, etc., are put into relation with quantified expression level of selected important regulatory elements taking part in RAM maintenance (WOX and SCR family transcription factors). Methodology and approach for future research in this field are outlined.
Recent advances in cardiac gene therapy strategies targeting advanced heart failure

Heart failure (HF) is the common sequela of many cardiovascular diseases. Although device‐based treatments and pharmacotherapies have improved patient survival, current standard therapies are far from optimal, and do not address the molecular mechanisms underlying HF pathogenesis. In the last decade, cardiac gene therapy has emerged as an innovative experimental therapeutic strategy for the treatment of advanced HF. Increasing insights into the molecular pathophysiology and improvements in gene targeting approaches provide novel therapeutic modalities. In this review we focus on the recent developments in cardiac gene therapy strategies targeting advanced HF. We emphasize ongoing clinical trials, and discuss the limitations and future evolution of the field.
Blackhole Attack Detection and Prevention in Wireless Sensor Networks: A Study

-Wireless Sensor Network (WSN) [1] is a network which has several small sensor devices responsible for communicating and sensing data wirelessly with each other. WSN have a various field of applications such as military, healthcare monitoring, traffic monitoring, industrial monitoring, undersea monitoring, agriculture monitoring etc. These networks are implemented in unprotected environments, thus vulnerable to various kind of security threats results in breaching network security[2]. Blackhole attack is one of such kind of attack. Different techniques have been studied which detects and prevents blackhole attack. Various advantages and disadvantages of different techniques are also discussed which helps in finding best approach for blackhole attack. This paper focuses on analysis of various detection and prevention methods of blackhole attack in WSN.
The Use of Cultural Maps in Developing Intercultural Sensitivity: From Culture-Centrism to Culture-Relativism

The paper describes an experience of teaching intercultural communications to undergraduate students using a cultural mapping method. Students were asked to draw cultural-specific maps that reflected their own idea of the world and then to compare them with similar maps drawn by people from different countries. In the process of drawing, presenting, comparing and discussing the maps, students were forced to confront their own cultural preconceptions as well as to become aware of the extent to which their picture of the world is culturally determined. Keywords: intercultural communications, intercultural sensitivity, cultural maps, pedagogy, cultural relativism
A Study On Emotional Intelligence Factors And Contribution Across The Countries In The World

Emotional Intelligence will play a vital path of Social Community. The conceptual paper concentrates on difference in Emotional Intelligence in the term of Culture, Behavior etc. We examine the degree to which conceptual ability, emotional intelligence, and relationship management impact each other, as well as whether or not country cultural differences have an impact on these relationships, while controlling for gender differences. The study has read various Article and Thesis and derived the Idea to which they play the role. [G. Sharmila, S. Srividhya. A Study On Emotional Intelligence Factors And Contribution Across The Countries In The World. Life Sci J 2013;10(9s):46-53] (ISSN:1097-8135). http://www.lifesciencesite. com. 6
Reviewing the use of Success and Failure Frameworks for analyzing the Adoption of Innovations: Proposing a Multi-Actor Multi-Success-and-Failure- Factors Multi-Criteria Approach (MAMSFFMCA)

Many innovations have never or only in limited form been adopted. Therefore, throughout the last decades, academics have been focusing on the success and failure factors (SFF) of the adoption of innovations. This success depends on the objectives of the engaged stakeholders. However, no comprehensive literature review exist that focused on the purpose of the SFF frameworks and the engagement in the innovation process of these frameworks. Therefore, the papers related to SFF frameworks and the adoption of innovations have been reviewed on these knowledge gaps. This review showed that no framework had been developed that engaged stakeholders for using weighted success and failure factors to propose and evaluate solutions to enhance the viability of innovations. Therefore, a multi-criteria approach called the Multi-Actor Multi-Success-and-Failure-Factors MultiCriteria Analysis (MAMSFFMCA) has been developed and evaluated on a case about online grocery shopping in the Netherlands. This method has been a useful tool to engage stakeholders and experts in efficiently identifying success and failure factors of online grocery shopping, to propose alternatives and to evaluate them. The MAMSFFMCA method can be further developed by providing more guidelines and rule of thumbs that can be used for the data gathering, the selection procedures and the evaluations of every step.
The application of computer assisted rehabilitation environment in rehabilitation evaluation and training

Objective: To summarize the background, working principle and application of the computer assisted rehabilitation environment in the study of modern rehabilitation medicine treatment, and to clarify its advantages in the rehabilitation of limb movement disorder. Methods: Through the network retrieval articles in PubMed database, China CNKI database, VIP database for virtual reality environment (virtual reality environment), computer assisted rehabilitation environment (computer assisted rehabilitation environment), movement disorders, rehabilitation (Dyskinesia rehabilitation), retrieval time for 1999 and 2015, excluding low correlation, repeatability, old literatures, a total of 31 articles were reviewed. Results: The virtual environment of the dual task of the computer assisted rehabilitation environment is helpful to improve the ability of the patients’ limb movement to make the interaction, interest and safety of the rehabilitation training. Computer aided rehabilitation environment has important clinical value and broad application prospects in the field of rehabilitation. It is worth further development and application in the field of rehabilitation of limb movement disorders.
Sample size for estimating organism concentration in ballast water: A Bayesian approach

Estimation of microorganism concentration in ballast water tanks is important to evaluate and possibly to prevent the introduction of invasive species in stable ecosystems. For such purpose, the number of organisms in ballast water aliquots must be counted and used to estimate their concentration with some precision requirement. Poisson and negative binomial models have been employed to describe the organism distribution in the tank, but determination of sample sizes required to generate estimates with pre-specified precision is still not well established. A Bayesian approach is a flexible alternative to accommodate adequate models that account for the heterogeneous distribution of the organisms and may provide a sequential way of enhancing the estimation procedure by updating the prior distribution along the ballast water discharging process. We adopt such an approach to compute sample sizes required to construct credible intervals obtained via two optimality criteria that have not been employed in this context. Such *Corresponding author. E-mail address: eliardocosta@ccet.ufrn. br
Effectiveness of nano-carbonate apatite in occluding dentinal tubules using oral simulation model

The aim of this study was to evaluate the effect of a dentifrice containing nano-carbonate apatite (nCAp) on the occlusion of dentinal tubules using a pH cycling. Eighty human dentin specimens were divided randomly into the following four groups; the negative control group (G1: 0% n-CAp), experimental group (G2: 20% n-CAp), positive control groups (G3: Sensodyne, G4: DenShield). They were applied to a pH cycling model for 12 days. The experimental group containing 20% n-CAp showed an occluding rate of the dentinal tubule of 78% compare with the baseline and showed significantly difference occluding effect among the other groups (p<0.05). The dentifrice containing 20% n-CAp was the most effective in occluding the dentinal tubules.
EFFECT OF URINE, POTASSIUM AND DICYANDIAMIDE (DCD) APPLICATION ON PASTURE PRODUCTION FROM A FREE-

A cut-and-carry trial was conducted on a low Quick-test-potassium (QTK ≤4) Lismore soil during 2012-13 in Springston, Canterbury to test the responsiveness of a dairy pasture to urine, dicyandiamide (DCD) and potassium (K) applications. Over the full year the applications of urine-only, urine+K, urine+DCD, and urine+DCD+K increased pasture production significantly over the non-urine control treatment by 23%, 29%, 36% and 42%, respectively. Applications of K, DCD and DCD+K increased production over the urine-only treatments by 5%, 10% and 15%, respectively, for both spring and full-year totals. There were no significant increases to K or DCD applications for non-urine treatments. The pasture responses to K and DCD applications were attributed to maintaining better balanced plant nutrition, rather than to soil K deficiency per se, as urine application maintained QTK levels to recommended values (QTK ~6) for the duration of the trial. However, K deficiency may still have occurred at times of high demand where K uptake was restricted by the shallow soil depth. Whilst these differences were considered to have their roots, at least partly, in K nutrition, it may also reflect differences that are particular to cutand-carry trial management and measurement. Continual harvesting of DM reduces K availability quickly in some soils even after large initial K applications in urine (>800 kg K/ha). The findings of this cut-and-carry trial show that regular K application can increase pasture DM responses both to applied urine-N and the use of a nitrification inhibitor, and not just when soil K levels are low.
Care for vulnerable older persons: need, utilization and appropriateness

textabstractThe overall aim of this thesis is to evaluate care for vulnerable community-dwelling older persons (≥75). Care includes health care, but also home care, living care and psychosocial care. We focus on a chain of care decisions and actions including self-perceived care needs, care utilization and appropriateness of care. In this introductory chapter we provide general background on these concepts and on the group of vulnerable older persons. Research questions, methods and outline of this thesis will be addressed successively.
Can I have the orange robot ? Quartet ! Exploring the effect of an autonomous robot in therapy for children with Autism Spectrum Disorder

This research focuses on exploring the effect of an autonomous robot in the Pivotal Response Therapy for children with Autism Spectrum Disorder (ASD). This project falls within the Picasso project that investigates the use of robots by therapists engaged in personalized therapy with children with ASD. Currently, the therapists use the robot as a remotely operated device. The aim of the research reported here is to examine how increased robot autonomy can be combined with the therapist still being in control of the therapy. The introduction of more autonomy in robot behavior and interaction increases the time that the therapist can focus on the child. In order to understand whether children perceive an autonomous robot differently than a remotely operated robot, we examined their preferences. Using a within-subject design, fourteen children played with a robot that performed behavior either autonomously or through remote control. The results show that the children do not react differently in the two conditions. Both robots were evaluated as equally engaging for the children. This implies that autonomous robots allow the therapist to focus less on remotely operating the robot and more on the therapy. The results and direction for future research are discussed.
A REVIEW ON HYBRID ELECTRIC VEHICLES TECHNOLOGY

Transportation is vital in everyday existence of individuals in the whole world. A large portion of the present vehicles utilize Internal Combustion Engine(ICE). In any case, nonstop use of IC Engines prompts several issues like air contamination and global warming These regular ICEs can be superseded by proposed three common structures like like Electric vehicles (EV), Hybrid electric vehicles (HEV), and Fuel cell vehicles (FCV). Consequently advanced vehicle technology focuses on HEVs. Limited accessibility of fuel based energy sources, required the development of substitute sources, for example, hybrid electrical vehicle. HEV consolidates internal combustion engine, electric machines and power electronic gear. This paper presents history, classification, vehicle types, and strength strategies of HEV'S. A hybrid electric vehicle (HEV) has two sorts of vitality storage space units, electricity and fuel. Exactly when power is used, a battery is utilized to store the vitality; an electromotor will be used as footing engine, when fuel is utilized , a tank is required, and an Internal Combustion Engine (ICE) is used to make mechanical power. Contingent upon the drive train structure HEVs can be recognized as parallel, series or combined HEVs. The correlation of the real characteristics of EVs, HEVs, and FCVs is exhibited. The examination demonstrates that HEV’S are prevalent as far as efficiency, nearby discharges, driving reach when contrasted with EVs and FCVs Index Terms Hybrid electric vehicle, Electric vehicle, Fuel cell vehicles, Internal Combustion Engines.
Deep Learning Model as a New Trend in Computer-aided Diagnosis of Tumor Pathology for Lung Cancer

Lung cancer is one of the main causes of cancer-related death in the world. The identification and characteristics of malignant cells are essential for the diagnosis and treatment of primary or metastatic cancers. Deep learning is a new field of artificial intelligence, which can be used for computer aided diagnosis and scientific research of lung cancer pathology by analyzing and learning through establishment and simulation of human brain. In this review, we will introduce the application, progress and problems of deep learning in pathology of lung cancer and make prospects for its future development.