Miracle-dz/UniFAR-FTUs huggingface dataset:
Injustice at Every Turn: A Report of the National Transgender Discrimination Survey

Transgender and gender non-conforming people face rampant discrimination in every area of life: education, employment, family life, public accommodations, housing, health, police and jails, and ID documents. This data is so shocking that it will change the way you think about transgender people and it should change the way you advocate. The National Transgender Discrimination Survey was conducted by the National Gay and Lesbian Task Force and the National Center for Transgender Equality.
An Hybrid Classification Approach to Detect Encrypted Malware

The modern network usage has intended the creation of recent malicious code for varied functions, as well as economic ones. Today signature-based anti-viruses area unit terribly correct, however cannot sight new malicious code. To unravel this drawback, we tend to project the signature-based malware detection use of (Operation) OpCode. Malware variants can have distinct computer memory unit level representations. The computer memory unit level content is totally different as a result of tiny changes to the malware ASCII text file may end up in considerably different compiled computer code. We tend to gift a full methodology for the detection of malicious computer code supported classification algorithms. (NB, J48, Random forest). Naive mathematician algorithmic program relies on chance and j48, Random forest algorithms relies on call tree. During this paper, we tend to concentrate on the info classification and therefore the performance live of the classifier algorithms supported TP rate FP rate generated by the algorithms once applied on the info set. Our results indicate that larger than ninety fifth potency may be achieved through use of a cross validation and coaching set evaluations.
TanDEM-X Ground Segment – DEM Products Specification Document

The purpose of this document is to describe the TanDEM-X DEM products, their specifications and formats.The chapter 4 introduces the main DEM product, and its variants. The target accuracies are presented (Section 4.1.) and the DEM generation process is shortly summarized in Section 4.2. The DEM product specifications are given in Section 4.3. Therein, the accuracy and grid definitions (Section 4.3.1) all information layers are described (Section 4.3.2). Information about the structure of the DEM product is provided in Section 4.3. 3. Section 4.4. gives a short summary about the characteristics of the Intermediate DEM Product and future FDEM and HDEM products. In the Appendices an introduction to the XML schema, product parameters and change log information are described. Please note that the current XSDs are appended to this document.
MEASURING HEALTHCARE SERVICE QUALITY FOR INPATIENT AT THE NATIONAL HEART INSTITUTE AT BACHMAI HOSPITAL IN VIETNAM

Objective: A survey was conducted for measuring healthcare service quality for inpatient at national public general hospital in Hanoi, Vietnam using the Tools of both in the SERVQUAL model and John E. Ware model. Methods: Cross-Sectional study. The study obtained feedbacks from inpatients over one month from January 2014 to February 2014; after inpatients finished their inpatient care at the hospital, they were asked 30 questions following the tool of both in functional and technical quality, using the five generic dimensions (the original 22 scores) of SERVQUAL instrument to combinate with the one dimensions (8 scores) of John E. Ware model, each question can score from 1-5. Results: In total, 325 patients were interviewed and completed the survey. Levels of inpatient satisfaction about service quality is influenced by the tool with 6 items (30 score), All dimension (6 dimension) have reliability coefficient > 0.05; and Cronbach alpha coefficient of the model’s 0.932: Including the first is Reliability (5 score), the second is Responsiveness (4 score), the third is Assurance (4 score), the fourth is Empathy (4 score), the fifth is Tangible (5 score), and the sixth is Technical quality (8 score) with highly Corrected Item-Total Correlation of four construct of patient satisfaction in healthcare service quality (from 0.646 to 0.837). Overall, the level of highly inpatient satisfaction about quality of healthcare in the hospital was explained almost 73.954% what could be achieved. Conclusions: Adjusted research model for the hospital has six contruct from levels of inpatient satisfaction about healthcare service quality is influenced by the tool with 6 factors (30 score). The tool provides feedback on the service quality for medical examination and treatment process of a public hospital experience from the adult inpatient’s perspective at the developing nation as Vietnam. Keywords: Measuring healthcare service quality, inpatient, SERVQUAL, John E. Ware model.
Global Alliances: Steps to Self-Sustainability for the Good of Public Health

Creating global alliances to fight disease and build infrastructure in developing and middle income countries has become a popular topic in the last several years. The global burden of disease and disparities in the level of health and healthcare make it difficult for any one group or funding source to make significant improvements in these areas, and in many areas of the world, the infrastructure simply does not exist. Global alliances have been instrumental in helping to build this infrastructure and research capacity, thereby reducing the impact of IDV/ AIDS, TB, malaria, and many other diseases. The ultimate goal of building sustainable capacity and infrastructure is to facilitate the transfer of knowledge gained through research into clinical practice and policy but it is a complex, resource-intensive process with many challenges. In 2005, the threat of an influenza pandemic led the National Institutes of Health and the Wellcome Trust to form the Southeast Asia Influenza Clinical Trial Network, supported by Oxford University and Family Health International. Although much progress has been made in a short time, challenges persist and the long term benefits have yet to be established. A description of genetic susceptibility to pneumonia and Acute Respiratory Distress Syndrome (ARDS). A review of the data demonstrating reduced mortality with lung protective ventilation and increased mortality with steroids in (ARDS)/sepsis. An evaluation of Sequential Organ Failure Assessment (SOFA) score for prediction of mortality in intensive care unit (ICU) patients.
On recommendation systems in a sequential context

This thesis is dedicated to the study of Recommendation Systems under a sequential setting, where the feedback given by users on items arrive one after another in the system. After each feedback, the system has to integrate it and try to improve future recommendations. Many techniques or evaluation methods have already been proposed to study the recommendation problem. Despite that, such sequential setting, which is more realistic and represent a closer framework to a real Recommendation System evaluation, has surprisingly been left aside. Under a sequential context, recommendation techniques need to take into consideration several aspects which are not visible for a fixed setting. The first one is the exploration-exploitation dilemma: the model making recommendations needs to find a good balance between gathering information about users' tastes or items through exploratory recommendation steps, and exploiting its current knowledge of the users and items to try to maximize the feedback received. We highlight the importance of this point through the first evaluation study and propose a simple yet efficient approach to make effective recommendation, based on Matrix Factorization and Multi-Armed Bandit algorithms. The second aspect emphasized by the sequential context appears when a list of items is recommended to the user instead of a single item. In such a case, the feedback given by the user includes two parts: the explicit feedback as the rating, but also the implicit feedback given by clicking (or not clicking) on other items of the list. By integrating both feedback into a Matrix Factorization model, we propose an approach which can suggest better ranked list of items, and we evaluate it in a particular setting.
Socio-technical systems thinking and the design of contemporary workspace

Physical environments shape, constrain, and promote a range of behavioural and organizational outcomes. Top–down or efficiency-driven approaches to workspace design often lead to inappropriate design and the promotion of undesirable outcomes for employees. Socio-technical systems thinking is presented as a theoretical framework to guide holistic workspace design. This thinking promotes the joint consideration of workspace alongside other aspects of the organizational system, e.g. processes, culture, organizational structure, and helps account for the broader context. The value of systemic approaches to workspace design and associated organizational change is discussed, using innovations such as open-plan and activity-based working as examples.
Supplying social capital through music education: A study on interaction in special educational needs students’ concerts

While the interest in understanding how music affects an individual’s development is growing, the significance of music education for a more equal society has also been frequently discussed. In this study, we pay special attention to the potential for social capital that music learning, making, and experiencing offer. We report upon the reactions and feedback from the audience and performers in attendance at concerts organised by the Resonaari Centre for Music Education in 2012 and 2014. Our research is based on two online questionnaires and group discussions with the students, teachers, and audience members. The findings explicate the importance and benefits of music, music-making, and music education for student musicians with special educational needs and for their relatives, friends, and audience.
Performance Analysis of Pixel based Face Recognition Methods

From the recent diversity of face recognition applications, it can be concluded that studies on face recognition are being actively conducted. However, high-performance algorithms sometimes cannot be adopted because of environmental reasons such as pose variation of targets or lighting conditions at the outdoor CCTV. Further, a low-resolution CCTV image cannot be used for an appearance-based high-performance method. Therefore, we consider pixel-based face recognition methods as CCTV applications. Before applying the methods, a Retinex-based illumination normalization method is used. The methods are applied with various facial poses, and three kinds of face recognition methods are comparatively analyzed in this paper. The experimental results showed that linear discriminant analysis exhibited the best performance as the matching method taking into consideration various facial poses.
A Proposed Model for Bioelectricity Cogeneration Activities Management in the Sugar-Energy Industry

The aim of this article is to propose a model based on Balanced Scorecard (BSC) to run the strategy of the sugar-energy companies regarding to the business unit for bioelectricity cogeneration. The model adds three new perspectives to the BSC namely environmental perspective, human resources perspective and supplier perspective. Bioelectricity cogeneration will become indispensable for the modernization of the sugarcane mills that already accounts for 2% of the Brazilian GDP in the economic sector of the sugar-energy industry. The low cost of bioelectricity cogeneration due to the use of residual sugarcane biomass as raw material such as bagasse, straws and tips, which are wastes of the production of sugar and ethanol process is a strong incentive for the sugar-energy industry. The opportunity to supply bioelectricity to the Brazilian Interconnected Electricity System arose when an unusual dry period occurred in the Southwest/Midwest regions. The achieved results on a model running show that it can be a useful management tool. The scientific value of this study is to present a model that demonstrates the possibility of adaptation of the BSC with emphasis on meeting specific industry demand. In addition, an environmental problem solved using bagasse, straws, tips from sugarcane to produce electricity. Keywords—Balanced Scorecard, bioelectricity cogeneration, sugar-energy industry.
Business communication of drivers and barriers for climate change engagement by Top New Zealand, Australian and Global Fortune 500 Corporations

A small number of corporations are responsible for two-thirds of historical global greenhouse gas (GHG) emissions. While many studies have evaluated business communication about climate change, they have several limitations, including an understudy of businesses outside the U.S. and Europe, and a lack of cross-country benchmarking. This study compares 30 of the largest New Zealand companies with top Australian and Fortune Global 500 businesses on communication of drivers and barriers related to climate change engagement. A quantitative analysis of 90 corporations’ latest reports finds that the most frequently reported drivers are external and internal stakeholders, regulatory concerns, and commitment to a lowcarbon economy. Few organisations report barriers such as economic growth, process and technology factors, and regulatory uncertainty. New Zealand companies lag behind Australian corporations who communicate equally as well as the top Global 500 on different dimensions of drivers and barriers for engagement. Factors driving business engagement with climate change and its implications on business communication, are highlighted.
Sustained Participation in Virtual Communities from a Self-Determination Perspective

Customers’ participation and contribution are vital to the sustainability of virtual communities (VCs) platform while people have many options to freely surf on the Internet. Sustained participation, instead of initial participation, is more meaningful to virtual communities’ sustained development. From the perspective of self-determination theory, this paper explores the effect of community artifacts on sustained participations through users’ satisfaction of psychological need and virtual community identification. With empirical studies in two types of virtual community platforms (interest-based and relational-based), our results reveal several important findings. Firstly, this study finds that virtual co-presence and deep profiling can increase users’ satisfaction of inner psychological needs. But the use of persistent labeling does not affect the user’s satisfaction of psychological needs. In addition, self-presentation is positively related to relational-based community, and rather has no impact on interest-based community. Secondly, this study finds that there exists a positive relationship between users’ satisfied psychological needs and virtual community identification. Finally, virtual community identification significantly impacts sustained participation. This paper offers a new perspective on the psychological mechanism of sustained participation and yields important implications for the managerial practice.
Research and Prospect of Ad Hoc Wireless Network Routing Protocol

Ad Hoc wireless network is an infrastructured less temporary network. In this paper, firstly, we introduces the network structure and feature of Ad Hoc wireless network in detail; and then proposes the condition which is satisfied on designing routing protocol, analyzes available routing protocol; lastly, points out the future research direction.
Novel swarm intelligence algorithm and its improvement

A novel simulated evolutionary algorithm,free search,is studied.An improved algorithm of FS including changing search neighbor areas dynamically and elitist strategy are presented.Four benchmark functions are tested and the experimental results show that the new algorithm not only significantly speed up the convergence,but also effectively solve the premature convergence problem.Comparing with particle swarm optimization,the performance of the proposed algorithm is greatly improved consequently.
Detecting the Change of High-Resolution Remote Sensing Images by Adaptive Multi-Feature Fusion

Traditional approaches for detecting the changes in remote sensing images are mainly based on spectral information of the original images without utilizing other derived features, thus may result in low detection accuracy and low integrity. To solve this problem, we proposed an algorithm for detecting the changes of remote sensing images based on object-oriented idea and adaptive multi-features fusion. First, the e Cognition was used to realize image segmentation, and extract the spectral, textural feature and space characteristics. A neural network was built up to realize adaptive multi-features fusion, and the final detection results were obtained. The experimental results show that adaptive multi-feature fusion method can reduce the probability of missing detection and false detection, and improve the accuracy and integrity of the detection result.
Directed query engine applications in the integrated retrieval of chemical Web databases

The data in Internet Chemical databases are a class of valuable resources, which couldn't be indexed by search engines based on hyperlink analysis. The major purpose of this paper is to take good advantage of these resources. This is an approach that one query launches several search engines at host sites of distributed chemical databases with compound identifications as entry points in a cascading fashion, and searching results organized in a structural way to form a ChemDB Portal Search, a Chemical Directed Query Engine. A three-tier model is designed for the approach. , including the user interface as a Client Agent responding users'queries, the searching middle-tier ware as a Server Agent integrating data from the target sites, and the Web sites and local database as the data managers providing retrieval of the data. Combining with HTTP to send queries, the model is implemented with JSP + JavaBean fashion using XML technology to wrap structural data from the returned pages and XML-DBMS to store and retrieve XML documents in local databases. Simultaneous searching of five distributed chemical databases by one query is now possible to the ChemDB Portal Search, which can display the hits from different sources in a unified form. In conclusion, the thesis is an attempt to mine and integrate data from Deep Web. It may provide a practicable approach for building similar systems in other fields.
The effects of phonological and visual-spatial interference on children’s arithmetical performance

Investigations of the cognitive processes involved in adults’ mental arithmetic have shown the importance of phonological rather than visual codes in performance (e.g. Logie, Gilhooly & Wynn; 1994). However, children’s subjective descriptions of their strategies in arithmetic reveal much more variable strategy use, suggesting that both slave systems of working memory may be involved in arithmetical performance in this age group. This experiment tested children in two age groups (6 to 7 and 8 to 9 years) on a simple mental arithmetic task under three conditions; baseline, phonological disruption and visuospatial disruption, in an attempt to determine the cognitive processes and strategies being used in arithmetic at various points throughout development. The results showed significant and marked lowering of performance in the younger children with concurrent visuospatial disruption, a smaller effect being observed in the older children. Conversely, while the younger children were unaffected by concurrent phonological disruption the older children were. These results support the hypothesis that children use different strategies at different ages; younger children utilise almost exclusively visuospatial strategies in mental arithmetic, whereas older children use a mixture of phonological and visual-spatial strategies.
A Theoretical Discussion and Empirical Analysis of Second Generations’ Education and Labour Market Outcomes in England and Wales

Research on ethnic penalties in the labour market now contains a paradox, which is exemplified in the UK: the second generation performs relatively well in education, despite predominantly lower social class origins, while labour market disadvantage persists. Taking account of social class background leads to a picture of ethnic minority advantage in education, at the same time as it helps to explain disadvantage in the labour market. This paper engages with this paradox, and argues research needs to account for ethnic minority advantage as well as disadvantage. We develop a framework for ethnic minorities’ achievement in education based on two mechanisms: social class misallocation or immigrant advantage; and discuss the extent to which we might expect to see such advantage replicated in labour market outcomes. Drawing on a longitudinal study of England and Wales spanning 40 years and encompassing one per cent of the population, we analyse education and labour market outcomes for men and women from four ethnic minority groups compared to white British, whose social origins were observed in childhood. We find clear evidence of educational advantage across social origins, which we relate to the immigrant advantage mechanism. We find this advantage is not reflected in labour market outcomes. We consider the implications for standard approaches to modelling ethnic penalties in the labour market.
Understanding the Effect of an Intervention Program on High School Graduation Rates: The Access and Opportunity Program in St. Cloud, Minnesota.

Facing a continuing racial high school graduation gap, the state of Minnesota is emphasizing the importance of offering resources and opportunities to close this gap to prepare young adults to be adequately ready for success at the post-secondary level, that is, college and career. With this in mind, it is important to evaluate educational programs that offer resources such as targeted mentoring and a supportive learning environment and to estimate their impact on high school retention and graduation rates. We extend our analysis to a longitudinal study of 4-year-cohort graduation and retention rates across years using student-level administrative data from a school district in Central Minnesota on Access and Opportunity Program participants from 2008 to 2013. The combination of different cohorts allows us to disentangle cohort specific characteristics that could be correlated to rapid demographic changes that could impact students’ success rates but are not related to the program itself. For instance, the entrance of new English learners in the system may bias educational outcome rates, underscoring the short-run effect of educational programs in the district. On the other hand, educational programs evolve across time and looking across the years would allow us to identify the intensity of the program and its evolution. We correct for selectivity and attrition issues based on observable characteristics and design a quasi-experimental analysis with information before and after the program started. We use as a control group most similar non-participant students. Furthermore, students who have been identified as eligible participants, but who elected not to participate, serve as another form of control. Our results show that compared to eligible non-participants, students of color participating in the program have higher odds to graduate from high school and, across cohorts, there is an increase in retention rates.