65 research outputs found
Semantically-enhanced topic recommendation systems for software projects
No full textSoftware-related platforms such as GitHub and Stack Overflow, have enabled their users to collaboratively label software entities with a form of metadata called topics. Tagging software repositories with relevant topics can be exploited for facilitating various downstream tasks. For instance, a correct and complete set of topics assigned to a repository can increase its visibility. Consequently, this improves the outcome of tasks such as browsing, searching, navigation, and organization of repositories. Unfortunately, assigned topics are usually highly noisy, and some repositories do not have well-assigned topics. Thus, there have been efforts on recommending topics for software projects, however, the semantic relationships among these topics have not been exploited so far. In this work, we propose two recommender models for tagging software projects that incorporate the semantic relationship among topics. Our approach has two main phases; (1) we first take a collaborative approach to curate a dataset of quality topics specifically for the domain of software engineering and development. We also enrich this data with the semantic relationships among these topics and encapsulate them in a knowledge graph we call SED-KGraph. Then, (2) we build two recommender systems; The first one operates only based on the list of original topics assigned to a repository and the relationships specified in our knowledge graph. The second predictive model, however, assumes there are no topics available for a repository, hence it proceeds to predict the relevant topics based on both textual information of a software project (such as its README file), and SED-KGraph. We built SED-KGraph in a crowd-sourced project with 170 contributors from both academia and industry. Through their contributions, we constructed SED-KGraph with 2,234 carefully evaluated relationships among 863 community-curated topics. Regarding the recommenders’ performance, the experiment results indicate that our solutions outperform baselines that neglect the semantic relationships among topics by at least 25% and 23% in terms of Average Success Rate and Mean Average Precision metrics, respectively. We share SED-KGraph, as a rich form of knowledge for the community to re-use and build upon. We also release the source code of our two recommender models, KGRec and KGRec+ (https://github.com/mahtab-nejati/KGRec).Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Software Engineerin
Patient's Electronic Environment Information Rights: patient's information rights
No full textBackground and Aim: Electronic health record is one of the most important achievements of the eHealth to achieve patient-centered care. The aim of patient-centered care is the accessibility of all patient information to clinicians to have the best decisions for the patients. Creating an environment for sharing information and developing e-health information caused the security and privacy of health information of patients to become an important and challenging issue. In this regard, healthcare organizations must create a security solution to protect the rights of their patients.
Materials and Methods: This review is based on library research and Internet searches in the major databases such as Web of science, Emerald, Proquest, EBSCO host research, PubMed, and search engines like Google and Google Scholar. In this review, essays, books in the field of medical informatics, and the security of information systems in the health system have been studied.
Ethical Considerations: Publication of the results is carried out without bias, honestly, and by citing the original reliable resources and references.
Findings In this review, how to maintain information security programs and health information systems in addition to improving quality of care to achieve three main objectives related to security, including confidentiality, accuracy, and the availability around three core axes of administrative safeguards, physical safeguards, and technical safeguards are discussed.
Conclusion: The health centers should be consistent in four main areas standards, rules and policies related to the contribution and access to information, communications and operations management, access control and security of human resources including awareness and education of the users about security issues should involve a range of users ranging from therapists to legal and technical experts and always consider the principle of "protecting the rights of patients with convenient access to patient information" to develop their security and development of programs.
*Corresponding Author: Mahtab Karami; Email: [email protected]; ORCID: https://orcid.org/0000-0003-2335-6627
Please cite this article as: Karami M. Patient's Electronic Environment Information Rights. Bioeth Health Law J. 2021; 1: 1-5 (e9). http://doi.org/10.22037/bhl.v1i1.3813
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Iran’s New Protests Explained - Interview with Kamran Matin
No full textAfter years of economic decline, sanctions, and political repression, protests have once again spread across Iran. What began with demonstrations by bazaar merchants in Tehran over the collapse of the national currency has expanded into a broader wave of unrest across dozens of cities, with reports of deaths, arrests, and growing pressure on the state.In this in-depth interview, Mahtab Mahboub, contributor to The Amargi, speaks with Kamran Matin, Reader in International Relations at the University of Sussex, about the structural forces driving Iran’s latest protests.Drawing on Iran’s political economy, regional geopolitics, and the aftermath of recent military escalation, Matin argues that the current unrest is shaped not only by economic hardship, but by a deeper crisis of legitimacy following intensified sanctions, the suspension of nuclear diplomacy, and the fallout from the June 12-day war.In this video, we explore:Why the protests began in Tehran’s bazaar, and what that signals about the regime’s social baseHow sanctions, inflation, and diplomatic deadlock have closed off prospects for economic reliefThe long-term role of foreign policy in sustaining the Islamic Republic’s internal legitimacyHow the collapse of Iran’s regional power projection has weakened that strategyComparisons between the current protests and earlier waves in 2017, 2019, and the Jin Jiyan Azadi movementThe rise of monarchist narratives around Reza Pahlavi, and their limits inside IranWhether cracks within Iran’s security apparatus resemble early dynamics of the 1979 revolutionAbout the guest:Kamran Matin is an Associate Professor of International Relations at the University of Sussex and the author of Recasting Iranian Modernity: International Relations and Social Change. He writes extensively on Iranian, Kurdish, and Middle Eastern politics, focusing on the intersection of domestic crises and international power structures.Watch the full conversation for a grounded analysis of why Iran’s current protest wave reflects a more profound crisis within the post-revolutionary order and why its outcome remains deeply uncertain.</p
Banglalink digital communications Limited- SWOT analysis & customer satisfaction of M-banking service users
No full textThis internship report is submitted in a partial fulfillment of the requirements for the degree of Bachelor of Business Administration,2014.Cataloged from PDF version of Internship report.Includes bibliographical references (page 47).Banglalink Digital Communications Limited is the second largest telecom brand in Bangladesh. The company started their journey with a vision to spread the mobile phone to all aspects of people.
The report covers a broad dimension of topics. At the beginning of the report the author finds out the history of the company in Bangladesh. Under this topic it reveals how they acquire ‘Sheba’ telecom in the starting, the customer base, employees, the management system etc.
The second part of the report covers the author’s job responsibilities at Banglalink in the period of Internship program. The functions are discussed elaborately so that anyone interested to go through the report could understand it easily.
The final part of the project aims to develop a SWOT analysis on the company. So that people could track down the real picture of the company. In other means it will also help the company to make strategies depending on the internal and external factors of influence.
Moreover, the project covers the customers’ satisfaction of Banglalink MFS users. Hereby, the author used extensive tele-survey research to find out the factors influencing customer satisfaction. The analysis and data interpretation is based on excel functions; where pie chart, bar chart etc. are used for better and ease understand.Nafis Mehrab-Al-IslamB. Business Administratio
Fastighetsekonomers motivation i yrkesliv och utbildning
No full textAbstract Titel: Fastighetsekonomers motivation i yrkesliv och utbildning Nivå: C-uppsats inom ämnet företagsekonomi Författare: Mahtab Yousefi & Tony Esso Handledare: Jonas Kågström Datum: 2011 - 06 Syfte: Syftet med denna kandidatuppsats var att undersöka blivande fastighetsekonomers motivation på utbildningen och yrket, som vi sedan skulle jämföra med yrkesverksamma. Samtliga intervjupersoner är befintliga och gamla studenter från Högskolan i Gävle. Denna studie är tillägnad alla studenter som är blivande fastighetsekonomer. Metod: Vi har använt oss utav kvalitativ metod under intervjuerna, totalt genomfördes det 20 intervjuer varav tio utav dem var via telefon. Vi har även använt oss utav kvantitativ metod, vår information samlade vi in via en elektronisk enkätundersökning till de yrkesverksamma, och studenterna fick undersökningen utskriven för att sedan koppla det till Self Determination Theory (SDT). Resultat och slutsats: Resultatet analyserades med hjälp av GCOS och ACI. Det resulterade i att studenterna hade högre procent i autonomy medan de yrkesverksamma hade högre procent i controlled och amotivation. Resultatet visade också att BNPT kunde anpassas och jämföras med respondenterna. Förslag till fortsatt forskning: I vår studie har vi begränsat oss till att forska och analysera studenter som endast har studerat på Högskolan i Gävle. Det skulle vara intressant att föra statistik på andra studenter från andra högskolor/universitet som har närliggande program och som har som huvudmål att arbeta inom fastighetsekonomi/förvaltning. Därefter analysera deras förväntningar och motivation till yrket med hjälp av SDT. Uppsatsens bidrag: Det har gjorts liknande forskning kring motivation, där man har fokuserat sig på bostadsköp. Vi vill fokusera på studenter och yrkesverksamma personer som är och ska bli fastighetsekonomer, hur motivationen är hos båda parter, med hjälp av SDT. Den här studien har bidragit till att ta fram information om motivation, som gynnar båda studenter och personer ute i arbetslivet. Uppsatsen visar hur personer agerar i olika situationer och hur de är som individer när det gäller att vara motiverad. SDT visar att man kan mäta motivation och dela in personer i olika typer av motivationer. Nyckelord: Self Determination Theory, GCOS, fastighetsekonom, utbildning, motivation, studenter, Högskolan i GävleAbstract Title: Property Economists motivation in working life and education Level: Final assignment for Bachelor Degree in Business Administration Author: Mahtab Yousefi & Tony Esso Supervisor: Jonas Kågström Date: 2011 - 06 Aim: The purpose of this final essay was to investigate the future real estate economists’ motivation for education and profession, which we then would compare with professionals. All of the respondents are current and former students from the University of Gävle. This study is dedicated to students who are future real estate economists. Method: We have used qualitative methodology in the interviews, in total there were 20 interviews, ten of them were by telephone. We have also used quantitative method, our information was collected by electronic survey to professionals and students received the survey printed out, and connected to the Self Determination Theory (SDT). Result and conclusions: The results were analyzed by using GCOS and ACI. The result was that the students had a higher percentage of Autonomy while the professionals had higher percentage of controlled and amotivation. The results also showed that BNPT could be adapted and compared with the respondents. Suggestions for future research: In our study we restricted ourselves to research and analyze students who have only studied at the University of Gävle. It would be interesting to keep statistics on other students from other colleges/universities that have related programs and their main objective is to work in real estate economics/management. There after analyzing their expectations and motivation to profession using SDT. Contribution of the thesis: There have been similar researches on motivation, where the focus has been on home purchases. We want to focus on the students and professionals who are and will become real estate economists, how the motivation is of both parties, with help of SDT. This study has helped to generate information about motivation that benefits both students and people who work. The paper shows how people act in different situations and how they are as individuals when it comes to being motivated. SDT shows that one can measure the motivation and divide people in different types of motivation. Key words: Self Determination Theory, GCOS, real estate economics, education, motivation, students, University of Gävl
A quantitative study in terms of the antecedents and outcomes of service recovery performance of the frontline employees of Mutual Trust Bank Limited
No full textAbstract: Ours is an age of Business, age of dealing with people of different peculiarities. An organization can earn both profits and reputation by satisfying its customers and clients. An organization"s main target is to attain customers" satisfaction by providing the best services to him. With the advancement of modern technologies, it has become quite easy to provide satisfactory services to many customers at a time. Yet as we are human beings, committing mistakes is very likely. Hence customers sometimes do not get the expected services and become highly dissatisfied. Mistakes are unavoidable and cause service failure. As per Bell & Zemke, 1987 defined service failure as "the experience of service result where service reaches lower than customer expectation". Although poor service delivery may result in loss of customer trust, studies have showed that service recovery paves the way of turning angry customers into loyal customers (ref). The more the loyal customers are, the more successful the organization is. Because loyal customers are less pricesensitive and help the firm draw the attraction of new customers. Therefore, "Service Recovery" is a crucial topic to be discussed. Nowadays many researches are being conducted on service recovery and put more emphasis on how to effectively deal with problem customers
Modelling and Assessment of an Autonomous Ride-Sharing Service’s Urban Utilization: Case Study - Rotterdam
No full textIncreasing demand for passenger services in densely populated urban environments, are currently covered overwhelmingly by private vehicles. Their impact on CO2 emission, present a serious obstacle to the reduction objectives, in the Netherlands alone the target of 45% by 2030, for limiting the global warming to 1.5°C degrees. Autonomous Vehicles (AV) and Ride-Sharing services are believed to be offering a crucial technological and perception shifts to reducing emission. In this work, a methodology for assessing the impact of a large-scale AV fleet ride-sharing system to replace the one-two passenger vehicle traffic using Rotterdam as the case study is designed and proposed. The approach includes three stages: 1. Building and finetuning a traffic model using publicly available data 2. Designing and implementing a trip merging component, in the form of two distinct heuristic greedy algorithms and a variation of the second one, using Python programming language. 3. Evaluating the impact of each merging scenario on the network in SUMO. The system’s influence and results are driven from the deployment of the ride-sharing service on the 2016 traffic model. The decrease in total number of trips, vehicle kilometres travels, and subsequent improvements in traffic flow resulted in 39% reduction in CO2 emission with the third algorithm. This result not only establishes the extent of AV ride-sharing service’s potential for emission reduction and traffic quality improvement. This adaptable methodology also operates as a proof of concept for a preliminary step for policy makers when considering implementing such service in any urban setting. Two of the major elements not included in this research are multimodal travel, like combination with public transport, and changes in demand for each mode choice based on traveller’s behaviour. These elements thus remain open for future consideration.Engineering and Policy Analysi
Procedures for determining support of excavations in highly yielding ground
No full text"This Bureau of Mines report describes the results of an investigation for developing and applying procedures for stabilizing excavations openings in highly yielding ground. The approach developed in this report involves nonlinear modeling of the progressive relaxation of the zones of rock mass around the excavations opening where coulomb criterion of failure is exceeded. Stresses are calculated by using a computer code; coulomb-failure condition is examined for both intact rock and joints (using strength parameters 0 and c). The rock mass in the failed zones is relaxed by reducing the young's modulus of the rock based on an empirical formulation that is a function of the shape of the opening and the extent of the failed zone. In addition, the material in the failed zone is assigned reduced strength parameters 0' and c'. The limiting (or convergent) relaxed zone is obtained through an iterative process by manually changing the rock modulus and the strength parameters between iterations. Support pressures are computed by applying forces normal to the excavation surface. The approach is applied to the analysis of stability and support requirements for an entry in a longwall coal mine." - NIOSHTIC-2NIOSHTIC no. 1000481
Multivariate time-series blood donation/demand forecasting for resilient supply chain management during COVID-19 pandemic
No full textCOVID-19 has caused negative impacts on blood supply chain management, due to uncertain supply/demand and logistical disruptions. In the early weeks following the COVID-19 pandemic, 20–30% reduction in blood donation had observed, which adversely affected the whole blood supply chain. Although this shortage was partially compensated through rescheduling of elective surgeries and shifting some inpatient surgeries to outpatient surgeries, resumption of the normal surgeries by hospitals had increased the demands for the blood products. At the same time, the total blood supply was increased by some measures taken to overcome the blood shortage. In this paper, a multivariate time-series deep learning model based on long short-term memory is proposed to forecast the blood donation/demand. It takes daily time-series of blood donation/demand (internal features) as well as daily time-series of new confirmed COVID-19 cases/deaths (external features) as its inputs, and predicts blood donation/demand for the next week. The proposed model is used to achieve a resilient blood inventory management, capable of handling the uncertainties occurring during the COVID-19 pandemic. The proposed blood donation/demand forecasting model has been successfully simulated on the collected data of Tehran Blood Center in Tehran, Iran, for a time period from February 24, 2020, to October 14, 2021. Obtained results show the efficiency of the proposed model by obtaining 6.1% and 6.5% error between the actual and forecasted values of the number of donations and demands, respectively. The results of applying the proposed model for inventory management of blood platelets demonstrate the resiliency of our model to reduce shortage and wastage rates against the existing uncertainty handling models by 32.1% and 26.6%, respectively. The proposed method can be used to assist the decision makers in managing the blood supply chains through prioritizing the blood transfusions during COVID-19 and similar pandemics in the future
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