Reviewerly/exHarmony huggingface dataset:
New Approach to Privacy-Preserving Clinical Decision Support Systems for HIV Treatment

HIV treatment prescription is a complex process. Clinical decision support systems (CDSS) are a category of health information technologies that can assist clinicians to choose optimal treatments based on clinical trials and expert knowledge. The usability of some CDSSs for HIV treatment would be significantly improved by using the knowledge obtained by treating other patients. This knowledge, however, is mainly contained in patient records, whose usage is restricted due to privacy and confidentiality constraints.A treatment effectiveness measure, containing valuable information for HIV treatment prescription, was defined and a method to extract this measure from patient records was developed. This method uses an advanced cryptographic technology, known as secure Multiparty Computation (henceforth referred to as MPC), to preserve the privacy of the patient records and the confidentiality of the clinicians' decisions.Our solution enables to compute an effectiveness measure of an HIV treatment, the average time-to-treatment-failure, while preserving privacy. Experimental results show that our solution, although at proof-of-concept stage, has good efficiency and provides a result to a query within 24 min for a dataset of realistic size.This paper presents a novel and efficient approach HIV clinical decision support systems, that harnesses the potential and insights acquired from treatment data, while preserving the privacy of patient records and the confidentiality of clinician decisions.
Scholarly Communication and the Academic Library: Perceptions and Recent Developments

This chapter focuses on the role that academic libraries play in the process of scholarly communication and presents a mixed-methods study to investigate (a) how faculty members perceive the involvement of academic librarians in scholarly communication and (b) how academic librarians perceive their own abilities to be involved in this process. The research population included faculty members from the faculties of humanities and social sciences in three Israeli academic institutions and academic librarians working in the libraries affiliated with these faculties. Interviews regarding the role of academic librarians in scholarly communication indicated wide gaps between faculty members and academic librarians and between individual members of each group, while questionnaires showed that a similar percentage of librarians and faculty members believe that academic librarians are potentially capable of being involved in this process. However, when asked whether the academic librarians should be involved in scholarly communication, only 36% of the librarians answered positively, as compared with 55% of the faculty members. These gaps highlight the need for change in academic libraries, as librarians should possess adequate technological skills, broad general knowledge, and an understanding of how to reorganize the library work so as to accommodate collaborations with faculty members.
Research on Fault Diagnosis Method of Industrial Robots Based on Case-Based Reasoning

The application enterprises of industrial robots generally do not have the ability to independently diagnose and repair the faults of industrial robots. When robots fail and stop operation, they often need to notify external service providers to diagnose and repair the fault sites of enterprises, which seriously affects the production tempo of enterprises. The loss of the enterprise is aggravated. Therefore, according to the dynamic evolution of the industrial robot fault diagnosis method and the characteristics of the case reasoning method, this paper applies the Case-Based Reasoning method to the industrial robot fault diagnosis. By using the concept of Inverse Document Frequency (IDF) index in information theory, the case organization, case retrieval and case retention technology in CBR technology are designed, which provides an effective method for the diagnosis of industrial robot faults.
Optimal Selection of Gear Ratio for Hybrid Electric Vehicles Using Modern Meta-Heuristics Search Algorithm

Gear Train Design problem is most important design problem for machine tools manufacturers. Recent w ork on gear train improvement has been bound towards multi-shaft gear trains of the speed-change kind, where major focus is to maximize the range of operating speeds and to minimize the number of gears and spindles. In the proposed research, a hybrid meta-heuristic search algorithm is presented to design and optimize multi-spindle gear trains problem. The objective of the research is to optimize gear trains on the basis of minimum overall centre distance, minimum overall size, minimum gear volume, or other desirable criteria, such as maximum contact or overlap ratios. The proposed hybrid meta-heuristic search algorithm is inspired by canis lupus family of grey wolves and exploitation capability of existing grey wolf optimizer is further enhanced by pattern search algorithm, which is a derivative-free, direct search optimization algorithm suitable for non-differential, discontinuous search space and does not require gradient for numerical optimization problem and have good exploitation capability in local search space. The effectiveness of the proposed algorithm has been tested on various mechanical and civil design problem including gear train design problem, which includes four different gear and experimental results are compared with others recently reported heuristics and meta-heuristics search algorithm. It has been found that the proposed algorithm indorses its effectiveness in the field of nature inspired meta heuristics algorithms for engineering design problems for hybrid electric vehicles.
Million Book Project — Vivid Example of International Cooperation

The article analyses the conceptual idea, stages of formation, organizational and technological features of the Million Book Project. This is the original version of the multilingual full-text electronic library, the first stage of the more extensive program of Universal Digital Library. The aim of the project was to digitize one million books by 2007 and to provide free access to them. The project is interesting, firstly, as an early productive experience in creating a compact electronic library to optimize the educational process, and secondly, as an example of broad effective international cooperation in organization of information resources. The collection was based on “Books for College Libraries”, which is a special collection of educational scientific literature (50,000 titles), electronic copies of which were provided by the non-profit, membership, computer library service OCLC (Online Computer Library Center). The author considers the Project as an original model of international division of labour in the development of library information resources, when the scanning centres in India and China took over most of the work on digitization of books, including from the United States, and the Carnegie Mellon University, in cooperation with other American Universities, provided them with the necessary equipment and staff training. The Million Book Project is based on the original full participation, along with the library of Carnegie Mellon University and libraries of other American universities, of digital collections of India, China and Egypt. One of the strengths of the project is cooperation with the United Nations Food and Agriculture Organization (FAO), aimed at combating hunger, as well as with the National Agricultural Library of the United States in digitizing specialized literature on the modernization of agricultural, forestry and fish farming practices. The article also notes the significance of the project in the field of organizational and technological solutions related to the formation of the electronic library: it served as a test base for applied research in the field of improving scanning techniques, optical character recognition and automatic translation. The important advantage of the Million Book Project is the ultimate decentralization of powers in the field of acquisition of the collection, resulted in including into the project orbit of the unique monuments of history and culture of the East. The digitization and inclusion in the electronic library of the cultural treasures for the first time makes them potentially available to the global audience.
Improved SIMD implementation of Poly1305

Poly1305 is a polynomial hash function designed by Bernstein in 2005. Presently, it is part of several major platforms, including the Transport Layer Security protocol. Vectorised implementation of Poly1305 was proposed by Goll and Gueron in 2015. The authors provide some simple algorithmic improvements to the Goll–Gueron vectorisation strategy. Implementation of the modified strategy on modern Intel processors shows marked improvements in speed for short messages.
Live Demonstration: Real-Time Auto-Exposure Histogram Equalization Video-System using Frequent Items Counter

In this demonstration, a real-time auto-exposure Histogram Equalization (HE) video-system is presented. The video histogram is extracted in each frame by the Frequent Items Counter (FIC) core. Based on the HE Transformation Function (HE-TF), the camera exposure value is adjusted to fit the current luminance condition. The proposed system was developed on the VEEK-MT-SoCKit with an FPGA chip of Altera Cyclone V SoC and a 5-Megapixel (5-MP) Charge Coupled Device (CCD). The video resolution is 1280×800. The monitor display rate is at 60Hz while the CCD capture rate is at 24.28Hz to 38.98Hz depend on the exposure value. The histogram, the transformation function, and the camera exposure value are changed in each frame to satisfy the real-time requirement.
MorphIT: Morphing Packet Reports for Internet Transparency

Abstract Can we improve Internet transparency without worsening user anonymity? For a long time, researchers have been proposing transparency systems, where traffic reports produced at strategic network points help assess network behavior and verify service-level agreements or neutrality compliance. However, such reports necessarily reveal when certain traffic appeared at a certain network point, and this information could, in principle, be used to compromise low-latency anonymity networks like Tor. In this paper, we examine whether more Internet transparency necessarily means less anonymity. We start from the information that a basic transparency solution would publish about a network and study how that would impact the anonymity of the network’s users. Then we study how to change, in real time, the time granularity of traffic reports in order to preserve both user anonymity and report utility. We evaluate with real and synthetic data and show that our algorithm can offer a good anonymity/utility balance, even in adversarial scenarios where aggregates consist of very few flows.
Graduate Research Data Management Course Content: Teaching the Data Management Plan (DMP)

Abstract The need for effective education of graduate students in the area of Research Data Management (RDM) has been demonstrated through the number and types of recently developed courses on this topic. These courses tend to take one of two approaches: 1) a full-term, for-credit standalone course and 2) a workshop/seminar approach. One topic that is common to both approaches is the Data Management Plan (DMP). The DMP typically addresses the following major topics: 1) Data that will be created, 2) Data documentation and organization, 3) Data storage and security, 4) Data management after project completion, and 5) Data accessibility for reuse and sharing. These RDM courses typically include a student assignment or term project to develop a DMP. However, there is some confusion in the literature over exactly what the DMP is and how it is used. For example, one common DMP is a short, high level 1-2 page document prepared by the PI as part of grant request to NSF. In contrast, a second type of DMP is an extensive, multi-page document prepared as part of a research project and intended as a working document to guide the researcher through all aspects of their research data management. These very different types of DMPs then lead to the question: what is the difference in these DMPS, what type of DMP is being taught in the literature courses, and what should be covered in the DMP topic of a RDM course? A RDM graduate course was developed and co-taught by a librarian and faculty member with an active research program. The course was designed to provide students broad concepts and best practices of RDM and also provide the students a focused application of RDM to active research projects. The course also included assignments on both types of DMPs: an individual assignment to develop a funding agency type DMP using DMPtool.com[1] and an end-of-semester team project to develop a project based DMP for an active research project using the Purdue Data Curation Profiles toolkit [2] as a basis. While the DCP is an outsider approach developed by librarians to help researchers develop working DMPs, it also serves as an effective tool for researchers to develop their own working DMP. The focus of this presentation will be an examination of DMPs and how and what should be taught in a graduate RDM course. Examples of DMPs from literature courses will compared and contrasted. The differences between the two types of DMPs as well as the reasons behind them will be delineated and discussed. Terminology to differentiate the DMPs will be presented. The approaches and outcomes of teaching the two types of DMPs in our course will also be described and compared with the literature. Results and lessons learned from this approach will be discussed.
Fusion of front-end and back-end learning based on layer-by-layer data re-representation

7 个类型, 即机械学习、示教学习、类比学习、演绎学习、基于解释的学习、 归纳学习和基于神经网络学习.
Modality Conversion of Handwritten Patterns by Cross Variational Autoencoders

This research attempts to construct a network that can convert online and offline handwritten characters to each other. The proposed network consists of two Variational Auto-Encoders (VAEs) with a shared latent space. The VAEs are trained to generate online and offline handwritten Latin characters simultaneously. In this way, we create a cross-modal VAE (Cross-VAE). During training, the proposed Cross-VAE is trained to minimize the reconstruction loss of the two modalities, the distribution loss of the two VAEs, and a novel third loss called the space sharing loss. This third, space sharing loss is used to encourage the modalities to share the same latent space by calculating the distance between the latent variables. Through the proposed method mutual conversion of online and offline handwritten characters is possible. In this paper, we demonstrate the performance of the Cross-VAE through qualitative and quantitative analysis.
Bitcoin—Upsides, Downsides and Bone of Contention—A Deep Dive

The purpose of this study is to perform a systematic literature review on Bitcoin and unveil its upsides, downside and divergent views from previous studies.The paper presents a systematic literature review of key studies published on Bitcoin between 2008 and 2019.The focus is given to three topics: benefits of Bitcoin; its shortcomings; and divergent views presented by previous cryptocurrency scholars in details.The results indicate that Bitcoin offers four key benefits-its acceptance as a digital currency, effective portfolio diversifier, hedging capabilities and higher security.Literature review revealed five major shortcomings of Bitcoin-weak substitute for traditional currency, higher volatility, idiosyncratic risks, uncertain regulatory impact and its exogenous supply.Finally, the review reveals three major areas wherein cryptocurrency scholars found to have divergent view-acceptance of its hedging capabilities across regions and portfolios, consensus on Bitcoin as highly secured and safe asset and, general acceptance of Bitcoin as a substitute of traditional currencies.
Mobile Distributed User Interfaces

The success of a mobile application is due to the usability that the graphical user interface provides. A feature of mobile devices is the limited space for the interaction and the deployment of the graphical user interface. For this reason, user interfaces can have different interaction modalities. However, to work with information that can be complex to display, the use of modalities may not solve this problem. A possible alternative to provide more workspace to the users is through a distributed user interface (DUI). A mobile DUI allows the mobile applications to use two or more devices to execute the user interface. These devices can be Smart TVs or wearable such as smart watches. In this work the concepts of mobile DUI design are discussed, some use cases are presented and it is shown that its development in mobile devices is feasible.
Image Retrieval Method Based on Back-Projection

Image retrieval method based on back-projection with histogram matching is proposed. The distance measures are compared among correlation, Chi-square, intersection, and Bhattacharrya. Through preliminary experiment, it is found that the most appropriate distance measures are Chi-Square or Bhattacharrya, which depends on the nature of the images in concern though. Also it is found that image retrievals with back-projection does works almost 100% in terms of success ratio.
Indonesian as a Foreign Language: Standard Setting and Materials Development Issues

The research analyzes the standard setting and test material on Indonesian language test, specially for foreign students in Indonesia.The research used qualitative approach by doing in depth interview and content analysis.Data analysis techniques which were used are interactive patterns consisting of data collection, data reduction, conclusions, and data displays.The standard setting analysis was done by in depth interview with Indonesian language instructor for foreign speaker, document analysis (of) in the form of graduate competency standard, test instrument on listening skill, speaking, reading, writing, and grammar, assessment rubric.The needs for test materials design was identified by a questionnaire of material presentation and structural arguments that support judgment from expert.The constructs of test materials are compiled from BIPA textbooks that are compiled into a list of test materials to be assessed by the expert.The expert scored the importance of the material or the basis of the criteria.The results of the study indicate that an accurate standard setting is required in placing test participants at a level appropriate to the competence (ability) and based on the test material to suit the needs of BIPA students.
Gathering Cyber Threat Intelligence from Twitter Using Novelty Classification

Preventing organizations from Cyber exploits needs timely intelligence about Cyber vulnerabilities and attacks, referred as threats. Cyber threat intelligence can be extracted from various sources including social media platforms where users publish the threat information in real time. Gathering Cyber threat intelligence from social media sites is a time consuming task for security analysts that can delay timely response to emerging Cyber threats. We propose a framework for automatically gathering Cyber threat intelligence from Twitter by using a novelty detection model. Our model learns the features of Cyber threat intelligence from the threat descriptions published in public repositories such as Common Vulnerabilities and Exposures (CVE) and classifies a new unseen tweet as either normal or anomalous to Cyber threat intelligence. We evaluate our framework using a purpose-built data set of tweets from 50 influential Cyber security related accounts over twelve months (in 2018). Our classifier achieves the F1-score of 0.643 for classifying Cyber threat tweets and outperforms several baselines including binary classification models. Our analysis of the classification results suggests that Cyber threat relevant tweets on Twitter do not often include the CVE identifier of the related threats. Hence, it would be valuable to collect these tweets and associate them with the related CVE identifier for cyber security applications.
Solving multi-objective dynamic travelling salesman problems by relaxation

This paper describes a method to solve Multi-objective Dynamic Travelling Salesman Problems. The problems are formulated as multi-objective hybrid optimal control problems, where the choice of the target destination for each phase is an integer variable. The resulting problem has thus a combinatorial nature in addition to being a multi-objective optimal control problem. The overall solution approach is based on a combination of the Multi Agent Collaborative Search, a population based memetic multi-objective optimisation algorithm, and the Direct Finite Elements Transcription, a direct method for optimal control problems. A relaxation approach is employed to transform the mixed integer problem into a purely continuous problem, and a set of smooth constraints is added in order to ensure that the relaxed variables of the final solution assume an integer value. A special set of smooth constraints is introduced in order to treat the mutually exclusive choices of the targets for each phase. The method is tested on two problems: the first is a motorised Travelling salesman problem described in the literature, the second is a space application where a satellite has to de-orbit multiple debris. For the first problem, the approach is generating better solutions than those reported in the literature.
IMPLEMENTASI METODE UP SELLING PADA SISTEM INFORMASI PENJUALAN

General Sudirman eye center is a clinic that is engaged in optics and pharmacies offer various types of eyewear items needed by customers. but sometimes customers find it difficult to choose the type of glasses they want and cannot know the price of similar items because there is no online website in the Sudirman eye center so customers must come directly to the clinic sometimes there is no recommendation system for goods from company employees to prospective customers, this results in the loss of opportunities for profit because customers may choose to buy elsewhere. This leads to consumer discontent with the service and has an impact on the decline in sales turnover, by building an online website that implements an up selling method which is a system to offer goods that are one level above that provides opportunities for prospective customers to choose products related to the product provided by the seller . Prospective customers who have chosen the product category will be given a choice of some similar or more expensive products.
Joint Schmidt-type decomposition for two bipartite pure quantum states

It is well known that the Schmidt decomposition exists for all pure states of a two-party quantum system. We demonstrate that there are two ways to obtain an analogous decomposition for arbitrary rank-1 operators acting on states of a bipartite finite-dimensional Hilbert space. These methods amount to joint Schmidt-type decompositions of two pure states where the two sets of coefficients and local bases depend on the properties of either state, however, at the expense of the local bases not all being orthonormal and in one case the complex-valuedness of the coefficients. With these results we derive several generally valid purity-type formulae for one-party reductions of rank-1 operators, and we point out relevant relations between the Schmidt decomposition and the Bloch representation of bipartite pure states.