325 research outputs found
Time to re-think the divide between academic and support staff
No full textResearch professionals should not be split into two categories, say Marta Teperek, Maria Cruz and Danny Kingsley. [Figure not available: see fulltext.]Research Data and Softwar
Weaving Web Applications with WebDSL (Demonstration)
No full textThis paper is a pre-print of: Danny M. Groenewegen, and Eelco Visser. Weaving Web Applications with WebDSL (Demonstration). In: Gary T. Leavens (editor) Companion to the 24th ACM SIGPLAN Conference on Object-Oriented Programing, Systems, Languages, and Applications (OOPSLA 2009). WebDSL is a domain-specific language for the development of web applications that integrates data-models, userinterface models, actions, validation, access control, and workflow. The compiler verifies the consistency of applications and generates complete implementations in Java or Python. We illustrate the key concepts of the language with a small web application.Software Computer TechnologyElectrical Engineering, Mathematics and Computer Scienc
DFT-based Vibrational Spectra for THz-Spectroscopy and Defect Fingerprinting in Molecular Crystals and Solids.
No full textSpectroscopic techniques based on atomic vibrations provide a powerful tool for the
atomic scale characterization of solids. Unfortunately, the translation of their spectra into
atomistic structures tends to be an inverse-problem, as a structural model is required to
assign the observed spectral peaks. This is further complicated by the fact that the exact
position of the latter is sensitive to the precise underlying atomic structure. This results
in the need for very accurate models.
With the steady growth of computational resources, the calculation of vibrational spectra
for extended and periodic systems has become more attainable at the level of quantum
mechanical calculations. In this work, we first present the example of the THz vibrational
spectrum of lactose-monohydrate (LM), and use our results to identify the spectral lines
of the observed spectra of different phases, obtained experimentally by heating the LM
sample.1 The accompanying water loss induces two phase transitions. According to our
results, all phases, including the starting high purity commercial sample, are mixtures of
different phases. We discuss the impact of both structural—such as water content and
orientation— and methodological—such as Pulay stresses, periodic boundaries, and
supercell sizes—aspects on the calculated spectra, and show that DFT-based spectra
under periodic boundaries can be matched with experimental data.
The importance of an extended periodic system for obtaining an accurate vibrational
spectrum is also shown in studying defects in diamond. However, here, we show that the
qualitative picture of the defect character of each atom in the system is independent of
the system size, allowing for small periodic cells to determine the relevant defect atoms
at much reduced computational cost.2 Defects tend to be very localized, resulting in
atomic modes.3 Therefore, an often-used strategy for selecting the contributing atoms
considers only their relative position with regard to the defect center. Using the atomprojected
vibrational spectrum, we present a quantitative method for determining the
defect character of each atom in the system, allowing for a rational incremental
improvement of the defect spectrum. This method is then applied on several simple
defects in diamond.Author : Danny E.P. Vanpoucke
Author name needs to be updated to include middle names, and correctly linked to the uhasselt personel databas
DFT-based Vibrational Spectra for THz-Spectroscopy and Defect Fingerprinting in Molecular Crystals and Solids.
No full textSpectroscopic techniques based on atomic vibrations provide a powerful tool for the
atomic scale characterization of solids. Unfortunately, the translation of their spectra into
atomistic structures tends to be an inverse-problem, as a structural model is required to
assign the observed spectral peaks. This is further complicated by the fact that the exact
position of the latter is sensitive to the precise underlying atomic structure. This results
in the need for very accurate models.
With the steady growth of computational resources, the calculation of vibrational spectra
for extended and periodic systems has become more attainable at the level of quantum
mechanical calculations. In this work, we first present the example of the THz vibrational
spectrum of lactose-monohydrate (LM), and use our results to identify the spectral lines
of the observed spectra of different phases, obtained experimentally by heating the LM
sample.1 The accompanying water loss induces two phase transitions. According to our
results, all phases, including the starting high purity commercial sample, are mixtures of
different phases. We discuss the impact of both structural—such as water content and
orientation— and methodological—such as Pulay stresses, periodic boundaries, and
supercell sizes—aspects on the calculated spectra, and show that DFT-based spectra
under periodic boundaries can be matched with experimental data.
The importance of an extended periodic system for obtaining an accurate vibrational
spectrum is also shown in studying defects in diamond. However, here, we show that the
qualitative picture of the defect character of each atom in the system is independent of
the system size, allowing for small periodic cells to determine the relevant defect atoms
at much reduced computational cost.2 Defects tend to be very localized, resulting in
atomic modes.3 Therefore, an often-used strategy for selecting the contributing atoms
considers only their relative position with regard to the defect center. Using the atomprojected
vibrational spectrum, we present a quantitative method for determining the
defect character of each atom in the system, allowing for a rational incremental
improvement of the defect spectrum. This method is then applied on several simple
defects in diamond.Author : Danny E.P. Vanpoucke
Author name needs to be updated to include middle names, and correctly linked to the uhasselt personel databas
Peranan Orang Tua dalam Pembentukan Etika Sopan Santun Pelkat Anak di GPIB Tamansari Salatiga
No full textGloria Patry Maria Pellaupessy. 132017040. November 2023. Peranan Orang Tua dalam Pembentukan Etika Sopan Santun di Pelkat Anak GPIB Tamansari Salatiga. Tugas Akhir. Program studi S1 Bimbingan dan Konseling. FKIP-UKSW. Pembimbing I Drs. Tritjahjo Danny Soesilo, M. Si Pembimbing II Sapto Peran yaitu suatu tingkah laku yang diberikan terhadap seseorang untuk dijalankan dalam kehidupan di tengah masyarakat. Era globalisasi menciptakan perubahan etika pada lingkungan social anak yang membuat anak bertingkah tidak sesuai dengan nilai-nilai kesopanan.Sehingga dalam tulisan ini penulis ingin melihat sejauh mana peranan orang tua khususnya dalam Pelkat Anak di GPIB Tamansari Salatiga untuk membentuk etika sopan santun anak khususnya dalam hal bersikap, bertutur kata. Rumusan masalah dari penelitian ini adalah “Bagaimanakah peranan orang tua dalam hal pembentukan etika sopan santun anak?” Tujuan Penelitian adalah “menjelaskan cara orang tua dalam membentuk etika sopan santun anak”. Penelitian ini menggunakan metode deskriptif kualitatif. Penelitian ini berhasil membuktikan bahwa orang tua sudah perperan aktif, juga berubah dalam hal mendidik anak dengan nilai-nilai etika sopan santunGloria Patry Maria Pellaupessy. 132017040. November 2023. Peranan Orang Tua dalam Pembentukan Etika Sopan Santun di Pelkat Anak GPIB Tamansari Salatiga. Tugas Akhir. Program studi S1 Bimbingan dan Konseling. FKIP-UKSW. Pembimbing I Drs. Tritjahjo Danny Soesilo, M. Si Pembimbing II Sapto Peran yaitu suatu tingkah laku yang diberikan terhadap seseorang untuk dijalankan dalam kehidupan di tengah masyarakat. Era globalisasi menciptakan perubahan etika pada lingkungan social anak yang membuat anak bertingkah tidak sesuai dengan nilai-nilai kesopanan.Sehingga dalam tulisan ini penulis ingin melihat sejauh mana peranan orang tua khususnya dalam Pelkat Anak di GPIB Tamansari Salatiga untuk membentuk etika sopan santun anak khususnya dalam hal bersikap, bertutur kata. Rumusan masalah dari penelitian ini adalah “Bagaimanakah peranan orang tua dalam hal pembentukan etika sopan santun anak?” Tujuan Penelitian adalah “menjelaskan cara orang tua dalam membentuk etika sopan santun anak”. Penelitian ini menggunakan metode deskriptif kualitatif. Penelitian ini berhasil membuktikan bahwa orang tua sudah perperan aktif, juga berubah dalam hal mendidik anak dengan nilai-nilai etika sopan santun.Gloria Patry Maria Pellaupessy. 132017040. November 2023. The Role of Parents in
Forming Polite Ethics at the GPIB Tamansari Salatiga Children's Center. Thesis. Guidance and Counseling Bachelor's study program. FKIP-UKSW. Supervisor I Drs. Tritjahjo Danny Soesilo, M. The Guide II Sapto Role is a behavior given to someone to carry out in life in
society. The era of globalization creates changes in ethics in children's social environment which makes children behave in ways that are not in accordance with the values of politeness. So in this paper the author wants to see to what extent the role of parents, especially in the Children's Training Center at GPIB Tamansari Salatiga, is to shape children's ethics of politeness, especially in terms of behave, speak. The problem formulation of this research is "What is the role of parents in forming children's ethical manners?" The aim of the research is "to explain how parents shape their children's ethical manners". This study used descriptive qualitative method. This research has succeeded in proving that parents have played an active role and have also changed in terms of educating children with the ethical values of good manners
Why infrastructure financing facilities often fall short of their objectives
No full textTo encourage the private funding and provision of infrastructure services, governments have used specialized financing facilities to offer financial support to investors, often in the form of grants, soft loans, or guarantees. The authors present case studies of infrastructure financing facilities in various stages of development in Colombia, India, and Pakistan. They also present case studies of government-sponsored financing facilities (not of infrastructure) in Argentina, and Moldova. They find that these facilities have often fallen short of their objectives for two main reasons. First, the environment was not conducive to private participation in infrastructure because of poor sector policies, an unstable macroeconomic environment, and inadequate financial sector policies, among other reasons. Second, the facility was faulty in design - in terms of sectors targeted, pricing of instruments, and consistency of objectives, and instruments.Decentralization,Banks&Banking Reform,Payment Systems&Infrastructure,Public Sector Economics&Finance,Municipal Financial Management,Municipal Financial Management,Banks&Banking Reform,Housing Finance,Public Sector Economics&Finance,National Governance
Applications of machine learning : consumer credit risk analysis
No full textThesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2015.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Cataloged from student-submitted PDF version of thesis.Includes bibliographical references (pages 65-66).Current credit bureau analytics, such as credit scores, are based on slowly varying consumer characteristics, and thus, they are not adaptable to changes in customers behaviors and market conditions over time. In this paper, we would like to apply machine-learning techniques to construct forecasting models of consumer credit risk. By aggregating credit accounts, credit bureau, and customer data given to us from a major commercial bank (which we will call the Bank, as per confidentiality agreement), we expect to be able to construct out-of-sample forecasts. The resulting models would be able to tackle common challenges faced by chief risk officers and policymakers, such as deciding when and how much to cut individuals account credit lines, evaluating the credit score for current and prospective customers, and forecasting aggregate consumer credit defaults and delinquencies for the purpose of enterprise-wide and macroprudential risk management.by Danny Yuan.M. Eng
Preliminary uncertainty and sensitivity analysis of the Molten Salt Fast Reactor steady-state using a Polynomial Chaos Expansion method
No full textIn this work, we present the results of a preliminary uncertainty quantification and sensitivity analysis study of the Molten Salt Fast Reactor (MSFR) behavior at steady-state performed by applying a non-intrusive Polynomial Chaos Expansion (PCE) approach. An in-house high-fidelity multi-physics simulation tool is used as reactor reference model. Considering several thermal-hydraulics and neutronics parameters as stochastic inputs, with a limited number of samples we build a PCE meta-model able to reproduce he reactor response in terms of effective multiplication factor, maximum, minimum, and average salt temperatures, and complete salt temperature distribution. The probability density functions of the responses are constructed and analyzed, highlighting strengths and issues of the current MSFR design. The sensitivity study highlights the relative importance of each input parameter, thus providing useful indications for future research efforts. The analysis on the whole temperature field shows that the heat exchanger can be a critical component, so its design requires particular care.</p
Empowering novices to understand and use machine learning with personalized image classification models, intuitive analysis tools, and MIT App Inventor
No full textThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019Cataloged from student-submitted PDF version of thesis.Includes bibliographical references (pages 129-131).As machine learning permeates our society and manifests itself through commonplace technologies such as autonomous vehicles, facial recognition, and online store recommendations, it is necessary that the increasing number of people who rely on these tools understand how they work. As such, we need to develop effective tools and curricula for introducing machine learning to novices. My work focuses on teaching core machine learning concepts with image classification, one of the most basic and widespread examples of machine learning. I built a web interface that allows users to train and test personalized image classification models on pictures taken with their computers--webcams. Furthermore, I built an extension for MIT App Inventor, a platform for building mobile applications using a blocks-based programming language, that allows users to use the models they built in the web interface to classify objects in their mobile applications. Finally, I created high school level curricula for workshops based on using the aforementioned interface and App Inventor extension, and ran the workshops with two classes of high school students from Boston Latin Academy. My findings indicate that high school students with no machine learning background are able to learn and understand general concepts and applications of machine learning through hands-on, non-technical activities, as well as successfully utilize models they built for personal use.by Danny Tang.M. Eng.M.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Scienc
The Role of Complement in Hereditary Angioedema
No full textLow levels of C1 inhibitor, the main inhibitor of the classic complement system, result in paroxysmal angioedema attacks that can be incapacitating or even life-threatening in affected individuals. Molecular defects in the gene for C1 inhibitor cause hereditary angioedema. In recent years, new insights in the pathways leading to angioedema due to a deficiency of C1 inhibitor have been gathered. Bradykinin, which is formed upon activation of the kallikrein-kinin system under insufficient regulation by C1 inhibitor, plays a crucial role. Whereas C1 inhibitor also occupies a central mediatory role in other plasma systems, such as the contact activation system of coagulation and the fibrinolytic plasminogen-plasmin system, a C1 inhibitor deficiency may also cause enhanced activation of these pathways. Novel therapeutic modalities for treatment and prevention of hereditary angioedema are now available, such as different forms of C1 inhibitor concentrate and novel agents that interfere in the kallikrein-kinin system
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