Reviewerly/exHarmony huggingface dataset:
Financial Market Development and Income Distribution Inequality in the Emerging Markets

The disruptive effects of the subprime financial crisis have raised new global concerns toward the increasing income distribution inequality. Nowadays, it has become one of the mainstays of public and scientific discourse around the world. Theoretical financial Kuznets curve suggests that the relationship between financial market development and income distribution inequality follows an inverted U-shaped pattern. However, current literature failed to support this hypothesis. The expansion of the financial market truly provides more relative opportunities for the poor which benefits the equalization. But those advantage opportunities are likely to be captured by some specific groups instead of all population. The majority literature on this academic field focus on developed countries with cross-sectional and panel data analysis that providing controversial results. They emphasize the financial development as a consequence of economic growth without deep analysis of the financial market development as an independent entity in determining the inequality. This study proposes to use a more comprehensive and rigorous method to identify the direct relationship between financial market development and income distribution inequality in 10 most typical emerging markets. Both short-run and long-run impacts of financial market development on income distribution inequality are examined and defined by utilizing time-series data and error-correction modelling technique. By providing a better understanding of the relationship, the findings of the research would make contributions to financial market policy adjustments in developing countries.
Study of Data Security Features in Healthcare Sector

The objective of this research paper is to compare the security features of healthcare applications. Applications are created for doctors as well as patients to make their lives easy. Android applications are developed as it is widely used and very user friendly. But at the same time security is a major issue. Various applications exist in market but security is an aspect we need to work upon. When it comes to healthcare application the security concern is higher, as it contains patient's confidential information.There are various levels at which security need to be checked.In this paper we will consider various vulnerabilities in an application with regard to security and also solution to them.
Interference Detection and Robust Mitigation Method Based on Tensor Decomposition

With the purpose of improving the robustness of the interference mitigation, methods using tensor operations are explored in this paper. Specifically, a three-order tensor-based signal model is constructed to cater to the three-dimensional characteristics of the signals received by the electromagnetic (EM) vector-sensor array. The polarized diversity of the signals is considered, in addition to the temporal and spatial information. Furthermore, canonical polyadic decomposition (CPD) of tensors in the presence of noise is explored to decompose the tensor-based signal model. The three factor matrices of the tensor can be obtained by CPD, wherein the second factor matrix is the steering vector matrix of the interference signals. The direction of arrival (DoA) of the interference signals can be extracted from the second factor matrix by algebraic methods. Additionally, the second factor matrix can also be used to suppress the interference. In a highly dynamic environment, considering that the degradation of anti-interference performance caused by the presence of the random steering vector mismatches, we propose a robust interference mitigation method. Hereinto, the key innovative steps of the proposed method is that with the presence of mismatch conditions, we derive the decomposition process of the tensor-based signal model to obtain the factor matrices, and calculate the projection matrix of the second factor matrix for interference mitigation. Whereafter, an intermediate matrix construction approach is proposed to widen the notch of the DoA of the interference, thereby improving the robustness of interference mitigation. The proposed method requires a smaller number of snapshots to achieve a high level of performance, and avoid the solution process of the covariance matrix which is indispensable to the traditional method.
Improving facial attraction in videos

The face plays an important role both socially and culturally and has been extensively studied especially in investigations on perception.It is accepted that an attractive face tends to draw and keep the attention of the observer for a longer time.Drawing and keeping the attention is an important issue that can be beneficial in a variety of applications, including advertising, journalism, and education.In this article, we present a fully automated process to improve the attractiveness of faces in images and video.Our approach automatically identifies points of interest on the face and measures the distances between them, fusing the use of classifiers searches the database of reference face images deemed to be attractive to identify the pattern of points of interest more adequate to improve the attractiveness.The modified points of interest are projected in real-time onto a three-dimensional face mesh to support the consistent transformation of the face in a video sequence.In addition to the geometric transformation, texture is also automatically smoothed through a smoothing mask and weighted sum of textures.The process as a whole enables the improving of attractiveness not only in images but also in videos in real time.
Linked Data Application for publishing and retrieving data from mammalian collections

Several research institutions have collections of mammals, which are biological collections that contain important data about the species present in a given region. However, they face problems related to the management of this data and its dissemination, since in many cases this data is stored in spreadsheets, which makes data access and disclosure difficult. This work presents an application that uses the principles of Linked Data and the Darwin Core standard to publish the data of the mammalian collections. It allows accessing data in a friendly way and obtaining more related data, present in other repositories, in order to enrich the data of the samples of species of a collection.
Design of Administrative Information Systems Puskesmas (SIAPUS) Sawah Besar District

The government's commitment to provide health insurance to the wider community is evidenced by the establishment of puskesmas throughout Indonesia. The Ministry of Health of the Republic of Indonesia for Healthier Indonesia, the motto is the motivation of the puskesmas to improve its performance. Puskesmas is a health agency sector that develops rapidly with population growth. Quality of service is a central point of puskesmas. Along with the era of the Industrial Revolution 4.0 marked by the emergence of various digital innovations impacted on the health services of health centers. From observations that have been made previously, there was a gap in current digital system at the puskesmas where patient, poly, doctor, midwife examination, medical records, recipes, drug history, internal referral, laboratory examinations and internal referral feedback scattered in many divisions have not been integrated resulting in slowed service speeds, data sharing, transaction processing, information distribution has not been running optimally. The impact felt by the human resources that run the system in all divisions, including burnout, increased exhaustion, high chance of human error. The solution through the development of digital-based systems is the most appropriate reference in overcoming the obstacles that occur. Puskesmas information system (SIAPUS) is an application that integrates all data and information spread in all divisions easily and is transparent. Security system is the main key to protect data and information. SIAPUS is equipped with a unique code, notification system and is responsive. The benefit principle becomes an important point of SIAPUS implementation that is able to protect data and information effectively and efficiently, patients get comfort in every treatment, improve time and process efficiency and performance in each division or management, sharing data and information is served by a single database management system. In this study, the system development method needed by the author applies the Spiral model, namely: customer communication, planning, risk analysis, engineering, construction and launch, and customer evaluation. The results of the study are expected to produce a better administration information system application that can help the performance of health centers in data processing and public health reporting that can later answer the various problems that have been faced so far.
Preventive and Curative Efforts in Archive Management Planning for the Threat of Natural Disasters in Indonesia

Background of the study: Archives have a very crucial role in the development of organization and institutions, Including in Indonesia. The importance of archival protection is in Determine records management planning in overcoming the impact of natural disasters.Purpose: The Efforts taken are preventive and curative actions that aim to minimize the risk of losing archives and as an effort to safeguard the importance of policy-making towards archives in the future.Method: This research is qualitative research with literature study method. The researcher raised a study that was in accordance with the topic of understanding, then made a map of the data related to preventive and curative Efforts in an effort to overcome natural disasters. In this case, the analysis of data is done through reference to books, journals, and other library materials Articles regarding preventive and curative actions in archival management and policy planning related to archives. Literature studies pay attention to relevance to the subject matter and to facilitate the understanding and direction of writing in accordance with the problems in the study.Findings: The results of this study indicate that disaster management consists of stages several items, namely mitigation, preparedness, response, and recovery.Conclusion: Prevailing Efforts are focused more on Preventing and protecting conventional archives from the disaster damage. The actions taken include storing archives in a safe and disaster-resistant place, storing archives with special equipment (vaulting), duplicating or duplicating records by transferring media in the form of Microfilms, microfiche, magnetic recordings, electronic records. While curative Efforts are repairs or maintenance of records with conditions that have or have begun to be damaged. Actions include lamination, encapsulation, reproduction of archives and recovery.
The Influences of Blended Learning with WhatsApp Android Application to Students Responses in Medan State University

This study revealed the students" responses in blended learning with WhatsApp android application.This study was held in Class B year 2016 Mathematics Education Department Medan State University.Subjects of this research were 39 students divided into six groups in the course of Research Method.The research applied qualitative method with descriptive design.Result of this study showed positive responses from students during the learning process.They could learn everywhere utilizing internet network by their smartphone.Learning makes students more energetic and more flexible, so it raises their comfort which influences their responses.
Leadership Skills Needed by High School Prefects in the Manzini Region of Eswatini

In schools, one form of student participation is through the school prefects.Paucity of information is available on the leadership skills needed by high school prefects in Eswatini.Therefore, this study sought to find out the leadership skills needed by prefects in the Manzini region of Eswatini.The design of the study was descriptive correlational, targeting prefects from secondary schools in the Manzini region in Eswatini.One hundred prefects from 10 secondary schools were randomly sampled.A self-administered questionnaire validated by three lecturers from the Department of Agricultural Education and Extension, University of Eswatini and one teacher from Ngwane High School was used for data collection.The inter-item reliability coefficient established using Cronbach's Alpha was 0.79.Findings revealed that the leadership skills needed by prefects were: respecting other learners; ability to motivate other learners; ability to solve problems; responding to learners' concerns; ability to manage resources, among others.The study concluded that prefects should be afforded leadership skills in interpersonal relationships, management of people, problem solving, resource management, counselling and motivational skills.Therefore, the study recommended that the school prefects should be empowered in these needed leadership skills.
Managing data in cross-institutional projects

This paper provides guidelines for data management professionals and researchers on how FAIR data usage can help improve the planning, execution and overall success of a cross-institutional project. Cases from Danish cross-institutional projects are detailed to illustrate this point – as well as the lessons learnt with implementing FAIR data principles in such projects. Key learnings from this paper are:&#x0D; &#x0D; Using FAIR data principles in cross-institutional projects can help manage the data used in the project in terms of knowledge sharing, access rights, use of templates, metadata and further sharing the data after the project has ended.&#x0D; To benefit the most from using FAIR data in a cross-institutional project it should be considered and planned for early in the project process.&#x0D; If FAIR is not considered early in the project process problems can arise such as a lot of time spent on converting formats, obtaining permissions and assigning metadata.&#x0D; It is necessary for researchers and research projects to have infrastructure and other services in place which support FAIR data usage.&#x0D;
3D Gaussian Descriptor for Video-based Person Re-Identification

Despite being often considered less challenging than image-based person re-identification (re-id), video-based person re-id is still appealing as it mimics a more realistic scenario owing to the availability of pedestrian sequences from surveillance cameras.In order to exploit the temporal information provided, a number of feature extraction methods have been proposed.Although the features could be equally learned at a significantly higher computational cost, the scarce nature of labelled re-id datasets encourages the development of robust hand-crafted feature representations as an efficient alternative, especially when novel distance metrics or multi-shot ranking algorithms are to be validated.This paper presents a novel hand-crafted feature representation for video-based person re-id based on a 3-dimensional hierarchical Gaussian descriptor.Compared to similar approaches, the proposed descriptor (i) does not require any walking cycle extraction, hence avoiding the complexity of this task, (ii) can be easily fed into off-shelf learned distance metrics, (iii) and consistently achieves superior performance regardless of the matching method adopted.The performance of the proposed method was validated on PRID2011 and iLIDS-VID datasets outperforming similar methods on both benchmarks.
Expression Recognition using Neural Network

A facial expression is a gesture created by the facial muscles that can convey human emotions.Facial expression recognition system is used to recognize different emotions of a face.A facial expression is exhibited by the movement of muscles underneath the face skin.Facial expression Recognition comprises of three main phases viz.face detection using Haar classifier, feature Selection using Local Binary Pattern algorithm and Expression Classification using Support Vector Machines.The image files for training are stored in the form of pixels in CSV file and are then converted by the algorithm to form images which subsequently decreases the size of the training data set.The proposed system predicts various emotions from a single image rather than predicting only one kind of emotion as done by the existing systems.Training of the system is done using the neural network.
Monitoring of verbal-linguistic development of pre-school children in Elementary school - RECEPTION project

The list of multiple tasks expected from a school librarian include a wide range of activities. Activity of crucial importance is advocating and argumentation how important is the development of basic literacy skills. The role of school librarians is unavoidable in this process.&#x0D; This presentation will show an example of school library practice and focus on the role of school librarian as designer, provider and researcher in the case study research at the school level. This research was done as an activity during international Erasmus+ project called RECEPTION (Role of Early Childhood Education in positive Transition/Introduction Outcomes for New pupils).
H.761 Support of a News input Node and a New "recognition" Node-Event to Enable Multimodal User Interactions

Multimedia languages traditionally, they focus on synchronizing a multimedia presentation (based on media and time abstractions) and on supporting user interactions for a single user, usually limited to keyboard and mouse input. Recent advances in recognition technologies, however, have given rise to a new class of multimodal user interfaces (MUIs). In short, MUIs process two or more combined user input modalities (e.g. speech, pen, touch, gesture, gaze, and head and body movements) in a coordinated manner with output modalities . An individual input modality corresponds to a specific type of user-generated information captured by input devices (e.g. speech, pen) or sensors (e.g. motion sensor). An individual output modality corresponds to user-consumed information through stimuli captured by human senses. The computer system produces those stimuli through audiovisual or actuation devices (e.g. tactile feedback). In this proposal, we aim at extending the NCL multimedia language to take advantage of multimodal features.
The Gulf of Mexico Research Initiative Information and Data Cooperative: Data Transparency and Data Sharing + Classroom Activity

Current is the peer-reviewed journal of the National Marine Educators Association. It features lively, in-depth articles and activities relating to all aspects of the world of water. Articles explore the latest in marine and aquatic education research, ocean literacy, classroom and free-choice learning activities, marine science, art, maritime history and literature.
Internet of Things in Healthcare

Internet of things (IOT) has gained a lot of attention in recent years for its use in various sectors like healthcare, agriculture, automobile, Retail, Finance, Transportation and many more.IOT redesigning the modern healthcare sector in terms of economic, social and technological prospects.Use of IoT changing the healthcare industry.Both providers and patients getting benefits from IoT .someuses wearables IoT devices or IoT based mobile application to get health-related data.Hospitals and medical facilities use IoT for assets tracking, monitoring patients or to control the climate of laboratories.This paper surveys use of IoT in healthcare industry and reviews network topology architecture of IoT based healthcare and their healthcare trends.This paper also analyses the challenges and benefits of IoT in healthcare.
Textual Aspect of Friday Sermon Book and Relevance to Javanese Language Learning Material

The Javanese Friday sermon Book is a collection of Friday sermon commonly used by Ulamas.Different from the general Friday sermon, the Javanese Friday sermon is often difficult to be understood.The Javanese Friday sermon preaching text content should be in accordance with the rules of discourse, then the researcher will use textual analysis methods such as the use of lexical aspects in forming a good discourse.The research result shows that the Javanese Friday sermon speech book is in accordance with the principle of good discourse with the lexical aspect includes: 1; Repetitions, 2; Synonyms, 3; Collocation, 4; Hyponym.Seen from the lexical aspect, this Friday sermon book by Achmad Sunarto can be used as Javanese learning material.
The Influence of Teacher’s Role, Autonomous Learning Method And Student’s Active Towards Learning Outcomes of English Lesson Case Study: Sains XI Grade, SMA PGRI 109 Tangerang

To create quality human resources and achievers, the learner is required to have good learning outcome.Learning outcome is the highest benchmark person achieves after a learning activity during given time.To be able to absorb the knowledge and information are very necessary ability and effort from human resources to speak foreign languages, especially English which is a universal international language in order to establish interaction and communication to exchange experiences with other countries that already have advanced knowledge and technology, specially by reading books and literatures that are the source of tknowledge.This research aims to analyse the influence of teacher's role, autonomous learning method and student's active towards learning outcomes of english lesson.This study was conducted with quantitative.Descriptive research design was conducted in Class XI Science SMA PGRI 109 TANGERANG with population as many as 120 people and ssample as many as 92 people.Sample randomly selected proportional by formula of Slovin.Collecting data in this research use a questionnaire as the instrument.The result of descriptive analysis is showed that the teacher's role has significant impact on learning outcome of students class XI Science SMA PGRI 109 TANGERANG, the result of overall analysis showed that together three independent variables, namely teacher's role, autonomous learning method and student's active on learning outcome.
The Value of Presuppositions in the Animated Film Nussa And Rara (A Study of Pragmatics)

Pragmatics is the study of the languages involved as intermediaries in the process of speech communication.This research deals with the study of pragmatics with limits on presuppositions with 6 types of presuppositions that is, (1) existential presuppositions, (2) factual presuppositions, (3) lexical presuppositions, (4) non-active presuppositions, (5) structural presuppositions (6) counterfactual presuppositions.Objects used in this research was the animated film Nussa and Rara. the film was chosen by the researcher because the trending on youtube Indonesia's first animated film, which is expected to serve as the formation of character kids which many found irregularities in the country Indonesia committed by older children.limitations of this research only on the analysis of speech are presuppositions expressed in the film.Research through the study of pragmatics presuppositions, using the methods of survey and content analysis research with the kind of qualitative because the resulting data in the form of descriptions of partial speech on animated Nussa and Rara then be divided into six types of speech is presuppositions which are then analyzed.The results reveal that in a speech on the animated film Nussa and Rara had found only five types of presuppositions.