Miracle-dz/UniFAR-FTUs huggingface dataset:
Modulating Crystallization in Semitransparent Perovskite Films Using Submicrometer Spongelike Polymer Colloid Particles to Improve Solar Cell Performance

Semitransparent perovskite solar cells (PSCs) have excellent potential for solar window applications. A major challenge exists, however, in achieving uniform coverage for thin perovskite films. Unfortunately, uncontrolled pinhole formation is a common problem for such films that obstructs development, especially for large area devices. In this study, we used very small (submicrometer) swellable polymer colloid particles (microgels) as additives to prepare uniform thin CH3NH3PbI3 (MAPI) perovskite films. Microgels (MGs) are good film-formers and promoted formation of semitransparent (ST) perovskite films with improved coverage. The MGs act as colloidal sponges and delayed release of perovskite precursors, thereby delaying perovskite crystallization. The ST films prepared using MGs had fewer pinholes compared to the MG-free control films. X-ray photoelectron spectroscopy showed evidence of Pb coordination by the MGs and they were shown to passivate MAPI. Remarkably, the submicrometer MGs used in this study .
Colouration of polymeric electrospun nanofibrous mats – a mini review

Abstract Since its evolution, polymeric nanofibres made with electrospinning emerged to have commercial success for various technical/industrial applications such as filtration, cold separation, biosensing, healing and functional reinforcement in composites. In the start of twenty-first century, the electrospun nanofibres found their way for use as a laminate in apparel and furnishing textiles where aesthetics play one of the basic roles. Therefore, colouration of electrospun nanofibres grabbed attention of scientists and experts. As a result, many studies have appeared on colouration of electrospun nanofibrous mats over the recent decade. The present article summarizes a review on the fundamentals and methods, reported so far, of making coloured electrospun nanofibres of various polymers. The review focuses on preparing various polymeric nanofibrous mats with polymer solution via electrospinning as well as principle colouration techniques, i.e. conventional methods such as batchwise and pad dyeings, using ultrasonic energy (an emerging processing technology), dope dyeing and printing.
Matching, monitoring and assessing learning outcomes of students in practical assignments

Peer reviewed paper op SEFI Engineering Education congress 2009 In engineering programs an important part of the learning process takes place in practical assignments like capstone projects, internships and co-op assignments in industry. The assignments are very divers. Students have different roles, work in different environments and the learning outcomes are not uniform. So how can the individual learning outcomes or growth competencies of the assignments be determined? To cope with this question the authors developed and implemented a method to monitor and assess the individual learning outcomes of the assignments. The method can be used to match a student to his next assignment in such a way that he can build his individual learning track. The method defines three aspects of an assignment: the role of the engineer (i.e. project leader, designer, researcher), the domain(s) of the assignment (i.e. user interface, software engineering) and a general results matrix that describes results and the level required to produce them. To manage the process learning outcomes are defined as products so project management methods can be used to plan, monitor and assess learning outcomes. Key aspects of the method are: 1. A general results matrix for engineering assignments 2. Learning outcomes that are defined as results in the matrix and these results can be assessed. 3. The results have levels so the learning outcomes can grow during the programme. 4. The method can be used to match, monitor and assess students on one assignment. 5. The method can be used to match, monitor and assess students for the entire programme. 6. The tools that are developed are based on an industry standard for project management.
Has Physical Retail Lost its Relevance in E-Commerce World?

The growth of online shopping has increased the popularity of e-commerce and consumers are taking benefits of buying goods and services at any time the 24/7 and 365 days. But despite the technology advancements and upside turn in digital and web capabilities the consumers still want sense of touch offered by physical stores. The ability to feel, touch and immediate availability to take the products of their requirement to home lets the consumers to shop in physical stores versus online. This article is an attempt to identify consumer behaviour towards online vs. physical retail shopping and suggest the right strategy for physical store owners.
An Exploratory Study on the Intention to Adopt a New Mobile Commerce Application in Nanjing, China

: The objective of this research is to present an exploratory study on the intention to adopt a new mobile commerce application in Nanjing, China. The application studied in this research is already being used by some customers around China. A formative structural equation model (SEM) is developed to assess the intention to adopt this new m-commerce application by sellers. A set of 9 indicators are used to build the final construct intention to adopt this new m-commerce application. It is found that perceived benefits, innovativeness and perceived enjoyment are significant factors influencing the adoption of a new mobile commerce application for the sample studied in Nanjing, China. Further research is needed to extend the results presented in this study to larger samples.
The Data Checking Engine: Complex Rules for Data Quality Monitoring

—In the context of data warehousing and business intelligence, data quality is of utmost importance. However, many mid-size data warehouse (DWH) projects do not implement a proper data quality process due to huge up-front investments. Nevertheless, assessing and monitoring data quality is necessary to establish conﬁdence in the DWH data. In this paper, we describe a data quality monitoring system: The “Data Checking Engine” (DCE). The goal of the system is to provide DWH projects with an easy and quickly deployable solution to assess data quality while still providing highest ﬂexibility in the deﬁnition of the assessment rules. It allows to express complex quality rules and implements a two-staged template mechanism to facilitate the deployment of large numbers of similar rules. While the rules themselves are SQL statements the tool guides the data quality manager through the process of creating rule templates and rules so that it is rather easy for him to create large sets of quality rules. The rule deﬁnition language is illustrated in this paper and we also demonstrate the very ﬂexible capabilities of the DCE by presenting examples of advanced data quality rules and how they can be implemented in the DCE. The usefulness of the DCE has been proven in practical implementations at different clients of SHS Viveon. An impression of the actual implementations of the system is given in terms of the system architecture and GUI screenshots in this paper.
TRINTA ANOS DE ANÁLISE MULTIVARIADA DE DADOS NO CAMPO DA GESTÃO ESTRATÉGICA: UMA REVISÃO SISTEMÁTICA

No campo de pesquisas sobre gestao estrategica os estudos de caso em profundidade tem sido amplamente substituidos pelo uso de ferramentas quantitativas baseadas no complexo de tecnicas econometricas e analise multinivel. Nesse meio, as tecnicas de analise multivariada de dados estao sendo amplamente utilizadas. Diante do exposto, este estudo consiste em responder a seguinte pergunta de pesquisa: como sao desenvolvidas as pesquisas sobre gestao estrategica que utilizaram de tecnicas de analise multivariada de dados? Assim, o objetivo deste trabalho e identificar e descrever a utilizacao de tecnicas de analise multivariada de dados em pesquisas sobre gestao estrategica. Este estudo consiste em uma revisao sistematica da literatura cientifica. Os resultados revelam que no ano de 2015, houve um grande aumento na quantidade de trabalhos que utilizaram como percurso metodologico alguma tecnica de analise multivariada. Pelos resultados e possivel inferir que a area de marketing tem oferecido uma significativa contribuicao interdisciplinar fornecendo orientacoes substantivas para pesquisadores sobre o uso de modelagem de equacoes estruturais, aprimoramento de escalas e tratamento para melhorar a confiabilidade e validade dos dados. Ao que parece, os pesquisadores do campo da Gestao Estrategica vao extrair informacoes relativas a tecnicas multivariadas em trabalhos de pesquisadores do campo do marketing, comportamento do consumidor e psicologia e trazendo as aplicacoes desse campo para a area da Gestao Estrategica – isso mostra relacoes importantes entre os campos do conhecimento e que nao tinham sido apresentadas anteriormente.
Compiler optimizations for directive-based programming for accelerators

Parallel programming is difficult. For regular computation on central processing units application programming interfaces such as OpenMP, which augment normal sequential programs with preprocessor directives to achieve parallelism, have proven to be easy for programmers and they provide good multithreaded performance. OpenACC is a fork of the OpenMP project, which aims to provide a similar interface for heterogeneous multiprocessing as an alternative for low-level programming models such as CUDA and OpenCL. In this paper the general structure of existing compilers for directive-based programming for GPU’s is presented and some used program analysis and optimization methods are explained. Just like with low-level programming models, optimizing the parallel regions for efficient memory usage is the most important task to achieve good performance.
Automating live update for J2EE applications over distributed environment

In the current world, there are very frequent changes in the industry needs due to pressing customer requirement, technology upgrade or fixing security issue in the currently deployed software, hence there is a great need of upgrading or updating the currently running applications. At the same time considering the usage of computers for almost in every domain, there is a lot of usage of horizontal scaling of software application where we are running multiple parallel servers deployed in various geographic locations across the globe using various cloud providers. It is desired to have automation for live update process. There is a great need to automate the process of upgrading the software version automatically, without manual intervention, without stopping the running servers, without losing the sanity of the application, smooth migration of coming request to newer version, no abrupt terminating the running process. In this paper it is recommended to use dynamic class loading with automated live update server, it will serve as a generic solution for live updating the multi-threaded servers. Using dynamic class loading, live update is not limited to just patching the server program with new content, instead we can update the business functionality. Dynamic class loading ensures that current running program did not get interfere while upgrade is taking place and after upgrade new version of the program takes over, and works smoothly for all new requests of computation. Hot deployment provides the smooth migration of software from old version to other, but still it is not fully automatic, across the location. The central live update server, which can perform upgrade on remote servers at multiple geographical location where the applications are deployed have been proposed.
Application of the life course paradigm to the study of financial solvency and financial satisfaction in later life: A comparative study of American and Dutch elderly consumers

ABSTRACT Although several authorities on personal finance have suggested the need for studying a person’s financial behaviour over his or her entire life course, their research efforts have been hampered by a lack of viable conceptual frameworks. The present study shows how researchers could employ the life course paradigm to study consumers’ financial behaviours. It illustrates how researchers could derive hypotheses from theories dictated by the life course paradigm to explain financial solvency and financial satisfaction in later life. These hypotheses are tested using samples of individuals more than 60 years of age from the United States (N = 191) and the Netherlands (N = 173). Findings suggest that the overall life course framework can be used to understand financial solvency and financial satisfaction in later life. Implications for theory and further research using the life course approach are also discussed.
Aerodynamic Performance of Morphing Blades and Rotor Systems

This paper introduces the Shape Adaptive Blades for Rotorcraft Efficiency (SABRE) Horizon 2020 research program and presents initial comprehensive analysis results on the efficacy of adapting blade shapes as a means of reducing rotorcraft power requirements and emissions. The aims of the research program are introduced, followed by discussion of the six different morphing concepts that will be explored. The morphing mechanisms are based on active camber, chord extension, twist, and active tendon morphing technologies. SABRE will explore the use of these concepts individually and in combination, for rotor quasi-steady configuration-type morphing and up to 2/rev actuation of some of the mechanisms, with the objective being to find the best balance between emissions reductions versus complexity and added weight. Initial investigations into the potential power reductions compared to the baseline full-scale BO-105 main rotor achievable with the morphing concepts were performed using Blade Element Momentum Theory and a comprehensive analysis model that was developed using CAMRAD II. The analytical model was validated by full-scale rotor wind tunnel measurements. A combination of active twist and active chord extension achieved up to 11% performance gain in hover. Active camber morphing performance was very sensitive to the combination of deflection, morphing section radial length and placement on the blade, as well as the actuation phasing and blade loading coefficient. The active camber morphing showed power reductions of up to 5.5% in hover and 5% at an advance ratio of 0.313 with a 2/rev actuation, while the active tendon concept showed the capability to change the dynamic response of the rotor blade.
EXPERIENCE IN THE SYNTHESIS OF DIAMOND FROM A SUPERSONIC MICROWAVE PLASMA JET

In this paper, the traditional method of microwave plasma generation is used in combination with the formation of a high-velocity plasma flow from a resonant chamber into an evacuated deposition chamber. In the experiments, a modernized magnetron with power up to 3 kW at a frequency of 2.45 GHz is used. The calculations of the microwave plasma formation process make, in practice, it possible to estimate the optimal geometry of the discharge chamber for an acceptable distribution of the electromagnetic field in the discharge region. The gas-dynamic calculations give an estimate of the approximate content of atomic hydrogen at the deposition surface. The results of the work determine ways for further research on the synthesis of diamond from high-speed microwave plasma jets.
The Role of user Involvement in the Success of Project Scope Management

Greater emphasis is now being placed on User Involvement as a factor imperative to Success in Project Scope Management. Although Project Scope Management Processes have a tendency to centre on various factors pertaining to the collecting criteria, defining scope and verifying scope, controlling scope is viewed as being fundamental to the management process as a whole. Furthermore, Success in Project Scope Management in the modern-day competitive business setting is recognised as resting on efficient and effective processes applied across Project Scope Management. One essential factor in achieving success in this arena is that of User Involvement. In this regard, the point is presented that Project Scope Management and User Involvement may be implemented in such a way so as to enhance Successful Project Scope Management. A questionnaire-centred survey approach utilizing Project Scope Management Processes and User Involvement to Successful Project Scope Management, encompassing management- and strategy-level employees, totalling 295, was applied in order to establish the link, both indirect and direct, between particular elements influencing four different IT departments at the governmental level. The data gathered underwent analysis through the use of SPLS (Smart Partial Least Square). This work provides a valuable contribution for professionals in the field, both in terms of researchers and practitioners, and further highlights the different ways in which project managers can arrange and modify Project Scope Management Processes in pursuit of their efforts to enhance the mediation of Successful Project Scope Management through User Involvement.
Hygric Permeance - New Calculation Methodology

After intensifying the knowledge of hygric permeance (HP) in multi-layered test samples, which were subjected to the imbibition process, a significant set of HP values (with different interface types) was experimentally achieved. This was done in order to develop a new model which allows estimating more correctly the hygric permeance. The idea is predicts the HP with several scenarios, i.e., different interfaces (perfect contact, hydraulic contact and air space interface), interfaces heights and materials studied, in the attempt to estimate the HP without the need to resort to the measurement by the experimental route in the attempt to estimate the HP without the need to resort to the measurement by the experimental route and even with possible measurement, generator automatic calculation (without human opinion/criteria). In this paper, the Hygric Permeance will be calculated by two different methods, gravimetric and gamma ray methods, and a new methodology proposes. The maximum flows transmitted were determined by the slope of the mass variation per contact area in function of the time involved. When having interface, the calculations admit that the first layer is saturated and that all the increased weight stems becomes from the relative humidity that penetrates the interface. The new methodology proposed is analysis of the prevision mathematical model that describes the mass variation per contact area in function of the time, after the “knee point”. This work it is the first attempt to provide a set of values that refer from hygric permeance in masonry of building walls, these being random values experimentally determined.
Sources of Authoritarian Responsiveness: A Field Experiment in China

A growing body of research suggests that authoritarian regimes are responsive to societal actors, but our understanding of the sources of authoritarian responsiveness remains limited because of the challenges of measurement and causal identification. By conducting an online field experiment among 2,103 Chinese counties, we examine factors that affect officials' incentives to respond to citizens in an authoritarian context. At baseline, we find that approximately one-third of county governments respond to citizen demands expressed online. Threats of collective action and threats of tattling to upper levels of government cause county governments to be considerably more responsive, whereas identifying as loyal, long-standing members of the Chinese Communist Party does not increase responsiveness. Moreover, we find that threats of collective action make local officials more publicly responsive. Together, these results demonstrate that top-down mechanisms of oversight as well as bottom-up societal pressures are possible sources of authoritarian responsiveness.
Robust Light-Weight Magnetic-Based Door Event Detection with Smartphones

Doors as densely-deployed natural landmarks play an important role in improving indoor positioning systems. However, the state-of-the-art door event detection works are based on either vision or infrastructure, thus incurring non-trivial device or management cost. To address these problems, we present a Light-weight Magnetic-based Door Event Detection method, called LMDD. It leverages built-in magnetic sensors of common smartphones to achieve infrastructure-free door event detection. After analyzing the special features of sensors’ readings changes caused by the door, we design LMDD scheme with three main components, including data acquisition, events identification and events denoising. Moreover, an improved and robust door event detection framework based on a majority-voting model is proposed to fuse multiple-dimensional sensing data from non-magnetic built-in sensors. We have implemented a prototype of LMDD on Android-based platform. Experimental results show that LMDD with only magnetic sensor achieves door event detection accuracy of around 80 percent on average, ranging from 70 to 87 percent in various typical indoor environments. The enhanced LMDD based on the fusion of heterogeneous sensors can achieve a much higher door event detection accuracy of 90 percent on average.
Design Simulation and Performance Analysis of Real Time Facial Features Monitoring for Drowsiness Detection Using Support Vector Machine

: This article describes an effective method for performing drowsiness testing through three well-defined stages. These three stages are using Viola Jones for facial characterization, eye tracking and yawn detection. Once the face is detected, the system illumination is left unchanged by separately segmenting the skin portion and considering only the color components to reject most of the non-face image background based on the skin color. Eye tracking and yawn detection are accomplished by correlation coefficient template matching. Feature vectors from each of the above stages are connected, and a binary linear support vector machine classifier is used to classify successive frames into fatigue and non-fatigue states, and alerts the former if it is above a threshold time. Extensive real-time experiments have proven that the proposed method is very effective in finding sleepiness and warning
Optimal resource allocation in mobile satellite networks: A noncooperative dynamic game–based approach

In this paper, we have researched the resource allocation problem in satellite networks and proposed an optimal approach for resource allocation, especially for the energy control in satellite networks, based on dynamic game. The objective functions for each transmission link between the satellite and users are formulated to control the information transmission energy, based on the SINR requirements, transmission cost, and information rate. Then, the energy control problem in satellite networks can be considered as a noncooperative dynamic game problem. Solving the game problem is solving the energy control problem in satellite networks. The optimal transmission energy is discussed based on the Nash equilibrium. Simulations are given to prove the effectiveness of the proposed model.