Reviewerly/exHarmony huggingface dataset:
Enhancing WIKISTIM.org Using Machine Learning Approaches

The number of published scientific papers has climbed by 8–9% each year over the past several decades. In the biomedical field alone, more than 1 million papers deluge the PubMed data base each year ( 1. Larsen PO von Ins M. The rate of growth in scientific publication and the decline in coverage provided by science citation index. Scientometrics. 2010; 84 (https://doi.org/10.1007/s11192-010-0202-z.): 575-603 Crossref PubMed Scopus (582) Google Scholar ). In addition to this, there are at present 49,194 recruiting clinical trials registered on ClinicalTrials.gov and there are 283 currently recruiting studies matching the terms spinal cord stimulation or deep brain stimulation alone in this registry. There exists a clear and pressing need for methods that allow neuromodulation specialists and researchers to access and use research evidence in their clinical routines and in day-to-day decision making. As such, we read with interest, the recent article by North and Shipley concerning their development of WIKISTIM.org, a collaborative website that abstracts data from clinical studies across the breadth of therapeutic neuromodulation into structured data tables, with the apparent aim of enhancing the dissemination, clinical application, and opportunities for critique of research findings from this rapidly developing field ( 2. North RB Shipley J. WIKISTIM.org: an on-line database of published neurostimulation studies. Neuromodulation. 2018; 21 (https://doi.org/10.1111/ner.12882.): 828-836 Crossref PubMed Scopus (2) Google Scholar ).
Collaboration as an Emergent Property of Self-Organizing Software Systems

Given an open, dynamically adaptive software system whose components are agents with their respective interests, goals and objectives, this PhD project will develop a methodology to allow the components to establish collaboration without the governance of a central control unit, but rather as an emergent function of the system itself. The interaction of the components relies on different layers of abstraction, providing a generic communication protocol as well as semantic integration and overarching rules ('laws of nature'). The work focuses on modeling and analyzing the top layer of this framework: An emergent Governance Layer which allows the components to strategically interact with each other, aggregates individual preferences, and has the ability to reconcile interests and to lead to collaborative actions in a meaningful way.
Design and Analysis of Online Editorial System for Magazines

It is one of the focuses of the publishing house to speed up the publishing process and shorten the review cycle. In this context, this paper is aimed at the online editorial needs of the magazine, building an Eclipse-based platform, and using Java language and database construction to build a system development environment based on B/S and Android mobile application environment based on C/S, and following the process of author submission, editorial preliminary review, expert external review, editor-in-chief final review, review feedback and contribution recruitment. Therefore, it is designed to assist in the collection and review of magazines and to standardize the management of manuscripts.
GRASP: a Bayesian network structure learning method using adaptive sequential Monte Carlo

Abstract Bayesian networks (BNs) provide a probabilistic, graphical framework for modeling high-dimensional joint distributions with complex dependence structures. BNs can be used to infer complex biological networks using heterogeneous data from different sources with missing values. Despite extensive studies in the past, network structure learning from data is still a challenging open question in BN research. In this study, we present a sequential Monte Carlo (SMC) based three-stage approach, GRowth-based Approach with Staged Pruning (GRASP). A double filtering strategy was first used for discovering the overall skeleton of the target BN. To search for the optimal network structures we designed an adaptive SMC (adSMC) algorithm to increase the diversity of sampled networks which were further improved by a new stage to reclaim edges missed in the skeleton discovery step. GRASP gave very satisfactory results when tested on benchmark networks. Finally, BN structure learning using multiple types of genomics data illustrates GRASP’s potential in discovering novel biological relationships in integrative genomic studies.
39.2: <i>Invited Paper:</i> Ultra‐high Definition Remote Stereo Real‐time Broadcasting Monitoring System

Under the guidance of the non‐paraxial optical theory, the purpose of this paper is to study the acquisition of stereo images and the real‐time transmission to VR of UHD bilateral screen under 5G condition to realize the real‐time 3D broadcasting and monitoring of UHD. Real‐time transmission and observation with UHD (5K ˜ 8K) is especially suitable for telemedicine due to its full color, high brightness and gray level non‐destructive properties. It can also be used in culture, sports, military, intelligent city, and sudden emergencies, etc.
How often does random assignment fail? Estimates and recommendations

A fundamental goal of the scientific process is to make causal inferences. Random assignment to experimental conditions has been taken to be a gold-standard technique for establishing causality. Despite this, it is unclear how often random assignment fails to eliminate non-trivial differences between experimental conditions. Further, it is unknown to what extent larger sample sizes mitigates this issue. Chance differences between experimental conditions may be especially important when investigating topics that are highly sample-dependent, such as climate change and other politicized issues. Three studies examine simulated data (Study 1), three real datasets from original environmental psychology experiments (Study 2), and one nationally-representative dataset (Study 3) and find that differences between conditions that remain after random assignment are surprisingly common for sample sizes typical of social psychological scientific experiments. Methods and practices for identifying and mitigating such differences are discussed, and point to implications that are especially relevant to experiments in social and environmental psychology.
Advances in Model and Data Engineering

Data modeling in software engineering isthe process of creating a data model for an information system by applyingcertain formal techniques. Data modeling is a process used to define andanalyze data requirements needed to support the business processes within thescope of corresponding information systems in organizations. Therefore, theprocess of data modeling involves professional data modelers working closelywith business stakeholders, as well as potential users of the informationsystem. In the present book, fifteen typical literatures about Model and Data Engineering published oninternational authoritative journals were selected to introduce the worldwidenewest progress, which contains reviews or original researches on Model and Data Engineering. We hope this bookcan demonstrate advances in Modeland Data Engineering as well as give references to the researchers, students and otherrelated people.
Response to the Request for Comments and Notice of Public Hearings on the Report Required by the SUCCESS Act of 2018

We the undersigned law students and law professor offer this response to the USPTO’s request for comments on studying and promoting the participation of underrepresented demographic groups in the U.S. patent system. We write based on personal and professional experiences in our own respective science and engineering fields and in the patent system, as well as based on our academic study of these issues. We appreciate the USPTO’s attention to the value of studying and promoting diversity in the patent system, especially through evidence-based policymaking.For the reasons that follow, we believe the USPTO should, indeed, collect demographic information on patent inventors, do so at the time of application, and do so on a mandatory rather than voluntary basis in compliance with relevant laws and subject to proper safeguards. The USPTO should also play a central role among public and private institutions to promote the participation of women in patenting and entrepreneurial activities. We address questions 1–3, 5–8, and 10–11. Among the demographic groups of interest, we focus in particular on women.
A Preliminary Study on 3600 Immersive Virtual Reality (IVR) vs Non - Immersive Virtual Reality (N-IVR) of Event Marketing

Immersive virtual reality (IVR) has become a popular tool for experiential marketing to empower people experience and user's engagement.Many organizations have opted for virtual reality approach towards conveying brand experiences, promotional tools and consumer personalization through this interactive technology.IVR is known to arouse user emotional responses and engrave user behavior.The objective of this study is to conduct a preliminary study on user interaction with 360 0 IVR and non-immersive virtual reality (N-IVR) for a virtual event marketing.The research is attempt to compare the user presence and immersion with different virtual reality interactivity in the context of event campaign and marketing.The 360 0 IVR and non -IVR video content on real estate housing event were developed and was used as the promotional content for Company A, a local event company to market their services to potential client.A focus group session consists of 10 potential clients participated in the experimental work using 360 0 IVR and non-IVR interaction (N-IVR).The immersive and non-immersive interaction were measured using Presence measurement questionnaire and Positive and Negative Affect (PANAS) questionnaire.A descriptive analysis was conducted and experience with 360 0 immersive virtual content gives positive results and better experience about an event compare to the non-immersive virtual reality.The implication of this research and its future work are discussed.
Performance Improvement of Prosody-ContRolled Voice Conversion by Language Model Adaptation

In this paper, a voice conversion method that uses speech recognition and synthesis together has been studied. In this system, the emotional speech of a target speaker can be produced using the prosody of an input speaker. To obtain high-quality speech with this system, high-accuracy speech recognition is required. However, it is difficult to accurately recognize emotional speech. Therefore, it is necessary to improve the accuracy of acoustic and language models. In this work, we analyzed language models and attempted to improve their accuracy. For this purpose, we used a language model adaptation method. To confirm the effectiveness of the proposed method, we conducted emotional speech recognition and voice conversion experiments.
Processing Algorithmic Skeletons at Compile-Time

When developing software in Operational Research (OR), one usually aims at getting the shortest execution time. There are multiple means to achieve this, including improving the algorithmic time complexity (finding better suited algorithms and data structures), optimizing the code (e.g. to avoid cache misses), parallelizing the execution... These improvements can be written by the end developer, requiring some coding effort and knowledge, whereas some of them could be achieved automatically. In previous work, we proposed a library to ease the building of parallel implementations of OR algorithms from the knowledge of their structure with no runtime overhead. We chose to use algorithmic skeletons in order to describe metaheuristics and make them ready for parallelization. For this purpose, Template Metaprogramming (TMP) techniques are used first to provide facilities to describe a metaheuristic as a composition of algorithmic skeletons, and secondly to analyze and transform the skeleton, at compile-time, into an efficient code to be executed at runtime. C++ TMP allows writing full algorithms to be executed at compile-time, but it is rare for an end developer to use TMP directly, as its syntax greatly differs from the usual language. Hence, we present here some insights of an intermediary library designed to ease the writing of code to process the algorithmic skeletons at compile-time as trees and vectors.
CLASSIFICATION OF BIOMEDICAL IMAGES USING CONTENT BASED IMAGE RETRIEVAL SYSTEMS

Because of the numerous application of Content-based image retrieval (CBIR) system in various areas, it has always remained a topic of keen interest by the researchers. Fetching of the most similar image from the complete repository by comparing it to the input image in the minimum span of time is the main task of the CBIR. The purpose of the CBIR can vary from different types of requirements like a diagnosis of the illness by the physician, crime investigation, product recommendation by the e-commerce companies, etc. In the present work, CBIR is used for finding the similar patients having Breast cancer. Gray-Level Co-Occurrence Matrix along with histogram and correlation coefficient is used for creating CBIR system. Comparing the images of the area of interest of a present patient with the complete series of the image of a past patient can help in early diagnosis of the disease. CBIR is so much effective that even when the symptoms are not shown by the body the disease can be diagnosed from the sample images.
｢한국교회사학회지｣ 40년의 근대교회사 연구 분석과 평가 - 경건주의와 웨슬리 연구를 중심으로 -

From the first issue of June 1979 to the recent issue of August 2019, the Journal of the Church History Society in Korea contains 40 articles for the study of modern church history. Of them, 15 articles were related to Pietism, accounting for 38% of the studies of modern church history, and 18 to Wesley, 45%. This study analyzes and evaluates the journal’s articles on modern church history, focused on the study of Pietsm and Wesley. Most studies of Pietism focused on reform. The corruption of Korean churches and pastors and the desire for church reform led theologians to pay attention to Pietism which emerged with fierce criticism of the corruption of Protestantism. The study of Wesley has been led by the scholars of Wesleyan denomination, and the subject has been studied in various ways. As a whole, the studes of modern church history in the journal are excessively concentrated on specific fields and regions. It is necessary to contribute to the balanced development of scholarship by studies covering more diverse areas and themes in modern church history. Also, in the field of Pietism, many studies are needed not only for church reform, but for worship, sacrament, small group and lay-centered church organization, where pastors are concerned. Above all, it is a big problem that the studies have been conducted only for men. Studies are needed to rediscover women, even within the available resources.
3·1운동에 나타난 기독교적 정신과 한국교회의 선교에 대한 함의

The aim of this paper is to identify the Christian spirit of the March First Independence Movement and to suggest the missionary tasks of the Korean Church based upon the Christian spirit of the March First Independence Movement. This paper identifies the Christian spirit of the March First Independence Movement as self-reliance and independence, democracy, peace, ecumenical spirit, and interfaith cooperation and solidarity. The implication of the Christian spirit for the missionary tasks of the Korean Church is to reinforce the global south church, to contribute to socio-economic democratization and church democratization as well, to make effort for the peace education, peaceful reunification of Korea, to recover the holistic type of faith, and to support the interfaith cooperation and solidarity.
An analysis of nCovid-19

The global nCovid-19 pandemic is changing the way we used to live.It is caused by SARS-CoV-2 virus which belongs to a family of coronavirus.These are a group of virus with RNA as their genetic material.The distinctive feature about its structure is the protein spikes which is used to bind to receptors of host cells.It not only causes respiratory distress but also produces severe inflammation and cytokine storm.It forms clot and micro emboli leading to heart attacks and strokes.It also mutates at a rate which is actually slower than the common flu virus.But the pattern of mutation is still not well predicted causing different effects on the infected, thus making diagnosis difficult.So the newly born type of coronavirus, is really a mysterious member of nature, in not only how it originated but also as to how it spread, how it affects the body, recovery and the ways to control it.The aim of this review is describe about the coronavirus as a disease and its symptoms, ongoing treatment methods employed and preventive precautionary steps to be taken by the general public in order to safeguard themselves from this savage contagion.
Peran Dinas Perpustakaan dan Kearsipan Aceh dalam Rehabilitasi dan Rekonstrusi Pembangunan Perpustakaan Pasca Tsunami Aceh

At the end of the year, December 26, 2004, the world was shocked by a tectonic earthquake and tsunami wave in Aceh province with 8.9 magnitude on the Richter Scale. It destroyed almost all of aspects, including psychological, social, cultural, economic, and infrastructure. The Archives and Library Agency of Aceh were also devastated by the tsunami tantrums, even though the library was not badly damaged. There is a lot of infrastructure reconstruction in Aceh, including the agency of the Archives and Library which carries out reconstruction and rehabilitation actions. It is hoped that the Aceh National Archives and Library Board will be able to get up and running as usual after the tsunami, although it takes time to realize these desires. This was clearly supported by the government through the reconstruction regulation of the Aceh Library building. This study aims to examine the extent of the role of National Archives and Library to carry out initial library revitalization to support the recovery effort. Although this study only provides an initial estimate of damage which is a natural indication. Indications are generally serious effects like an impact on the recovery of various sectors. The result from Interviews conducted by researchers was found that the development of library and maintenance infrastructure cannot be done alone, but they must build the cooperation each institutions, both by government agencies (central and regional), NGOs (local and abroad), as well as international organizations and other countries.
Interview with Russian Illustrator Anastasia Arkhipova

Anastasia Arkhipova is one of the most famous Russian book illustrators. She is a corresponding member of the Russian Academy of Arts, chair of the board of the Association of Book Illustrators and Designers of the Moscow Artists’ Union, member of the juries of international and Russian contests, founder and organizer of the international contest “Image of the Book,” and vice president of the International Board on Books for Young People (IBBY).
TÜRKİYE'DE ADLİ MUHASEBE EĞİTİMİNİN ÖNEMİ VE YETERLİLİĞİ: SMMM MESLEK GRUBU ÜZERİNDE BİR UYGULAMA

Today, with the increasing world population and consumption culture, the country's economies and financial structures are growing very rapidly. These growths also cause various forensic problems. An important part of these problems that we mentioned in our article are various financial events that occur against the laws of the country. Among these financial events, there may be unrecorded activities that are not taxed; It may also involve damaging various countries, individuals, institutions and organizations. One of the biggest duties of the justice systems is to prevent these crimes before they occur. However, it is not always possible to prevent crimes with the development of technology at a dizzying pace, the amount of money circulating in the world is increasing day by day, the emergence of various sociocultural cases. These cases, which occur almost all over the world, cause great economic losses for the country and businesses. These cases, which are the subject of forensic accounting, are; There may be situations such as money laundering, tax evasion, unfair earnings, or manipulations to mislead business partners, investors, the government and other circles who are users of financial statements. The emergence of all these negative factors makes the Forensic Accounting profession more and more important day by day. This situation increases the need for experts in their fields every day in order to eliminate or minimize crimes. These specialists, besides their professional knowledge; They are resistant, intuitive and creative professionals who can wonder about the events. The borders of forensic accountancy in our country have not been fully drawn and has not reached a legal status. However, they are defined as “forenis accounting” in the United States and serve the relevant people and institutions with the principles and standards they have created for this profession. For this reason, in the literature review section of our study, the forensic accounting system in this country and various cases will be mentioned.