Nearly Supersymmetric Dark Atoms

Theories of dark matter that support bound states are an intriguing possibility for the identity of the missing mass of the Universe. This article proposes a class of models of supersymmetric composite dark matter where the interactions with the Standard Model communicate supersymmetry breaking to the dark sector. In these models supersymmetry breaking can be treated as a perturbation on the spectrum of bound states. Using a general formalism, the spectrum with leading supersymmetry effects is computed without specifying the details of the binding dynamics. The interactions of the composite states with the Standard Model are computed and several benchmark models are described. General features of non-relativistic supersymmetric bound states are emphasized.Comment: 39 pages, 2 figure

Privacy-Preserving Reengineering of Model-View-Controller Application Architectures Using Linked Data

When a legacy system’s software architecture cannot be redesigned, implementing additional privacy requirements is often complex, unreliable and costly to maintain. This paper presents a privacy-by-design approach to reengineer web applications as linked data-enabled and implement access control and privacy preservation properties. The method is based on the knowledge of the application architecture, which for the Web of data is commonly designed on the basis of a model-view-controller pattern. Whereas wrapping techniques commonly used to link data of web applications duplicate the security source code, the new approach allows for the controlled disclosure of an application’s data, while preserving non-functional properties such as privacy preservation. The solution has been implemented and compared with existing linked data frameworks in terms of reliability, maintainability and complexity

Экспериментальные и расчетные величины стандартной энтальпии образования арсенатов щелочных и щелочноземельных металлов

Исследованы термохимические характеристики взаимодействия в водной среде хлоридов щелочноземельных металлов с ортоарсенатом натрия

Assessment of Generic Skills through an Organizational Learning Process Model

This contribution has been published in this repository with the permission of the publisher. This contribution was presented in WEBIST 2018 (http://www.webist.org/?y=2018) and has been published by SCITEPRESS in http://www.scitepress.org/PublicationsDetail.aspx?ID=y9Yt0eHt02o=&.The performance in generic skills is increasingly important for organizations to succeed in the current competitive environment. However, assessing the level of performance in generic skills of the members of an organization is a challenging task, subject to both subjectivity and scalability issues. Organizations usually lay their organizational learning processes on a Knowledge Management System (KMS). This work presents a process model to support managers of KMSs in the assessment of their individuals’ generic skills. The process model was deployed through an extended version of a learning management system. It was connected with different information system tools specifically developed to enrich its features. A case study with Computer Science final-year students working in a software system was conducted following an authentic learning approach, showing promising results.Visaigle Project (grant TIN2017-85797-R)

The Perfect Atom: Bound States of Supersymmetric Quantum Electrodynamics

We study hydrogen-like atoms in N=1 supersymmetric quantum electrodynamics with an electronic and a muonic family. These atoms are bound states of an anti-muon and an electron or their superpartners. The exchange of a photino converts different bound states into each other. We determine the energy eigenstates and calculate the spectrum to fourth order in the fine structure constant. A difference between these perfect atoms and non-supersymmetric ones is the absence of hyperfine structure. We organize the eigenstates into super multiplets of the underlying symmetry algebra.Comment: 30 pages, 2 figures. v2: mistake associated with gauge choice fixed, references added. v3: comment about super-positronium added, published versio

Исследование состава ароматических углеводородов средних фракций нефти Самотлорского месторождения

В работе представлены результаты исследования состава ароматических углеводородов 1-й группы, входящих в состав керосинонгазойлевой фракции (200-300° С) самотлорской нефти. Для исследования были применены методы жидкостной хроматографии, четкой ректификации, УФ- и ПК-спектроскопии. Установлено, что в состав ароматики 1-й группы входят моно-, ди- (-и -м-изомеры), три- (1, 2, 3- 1, 2, 4- и 1, 3, 5), тетра (возможно всех трех типов замещения, а также пентазамещенные бензола

Block-Based Development of Mobile Learning Experiences for the Internet of Things

The Internet of Things enables experts of given domains to create smart user experiences for interacting with the environment. However, development of such experiences requires strong programming skills, which are challenging to develop for non-technical users. This paper presents several extensions to the block-based programming language used in App Inventor to make the creation of mobile apps for smart learning experiences less challenging. Such apps are used to process and graphically represent data streams from sensors by applying map-reduce operations. A workshop with students without previous experience with Internet of Things (IoT) and mobile app programming was conducted to evaluate the propositions. As a result, students were able to create small IoT apps that ingest, process and visually represent data in a simpler form as using App Inventor's standard features. Besides, an experimental study was carried out in a mobile app development course with academics of diverse disciplines. Results showed it was faster and easier for novice programmers to develop the proposed app using new stream processing blocks.Spanish National Research Agency (AEI) - ERDF fund