Miracle-dz/UniFAR-FTUs huggingface dataset:
Rumah ramah rubella sebagai kelompok dukungan online di facebook

Situs jejaring sosial dapat membentuk interaksi sebuah komunitas atau kelompok dukungan online (KDO). KDO merupakan komunitas yang dibentuk dengan tujuan yang sama terkait topik tertentu. Kelompok ini tidak terbatas tempat, waktu, ideologi, status sosial, ekonomi maupun pendidikan. Oleh karena itu, interaksi di dalamnya jauh lebih fleksibel karena bisa berhubungan kapan saja dan dari mana saja. KDO sangat berguna untuk menghubungkan individu dengan orang-orang lain yang memiliki masalah kesehatan serupa. Salah satu bentuk KDO dalam situs jejaring sosial adalah grup Facebook Rumah Ramah Rubella. Penelitian ini bertujuan mengetahui pemanfaatan grup Facebook oleh Rumah Ramah Rubella sebagai kelompok dukungan online. Jenis penelitian yang digunakan dalam penelitian ini yaitu kualitatif dengan menggunakan pendekatan analisis isi kualitatif. Sumber data diambil dengan menggunakan teknik purposive, yakni 809 postingan wall dan komentar pada grup Facebook Rumah Ramah Rubella yang dihitung secara manual, selama dua bulan periode kampanye imunisasi MR di Indonesia yaitu Agustus sampai September. Teknik analisis data yang digunakan adalah teknik analisis isi kualitatif menggunakan data koding dengan kategorisasi induktif. Hasil penelitian yang ada dalam grup Facebook menunjukkan bahwa fitur grup Facebook berupa status, gambar, video maupun akses file, bermanfaat dalam sarana dukungan sosial secara online berupa dukungan informasi, dukungan emosional, ruang terbuka ekspresi diri dan sarana promosi terkait dengan Campak dan Rubella, imunisasi MR, maupun penyakit secara umum.
Understanding Employee Use of Web 2.0 Tools for Front End of Innovation Activities

In this research-in-process paper, we develop a model for understanding employees’ use of Web 2.0 tools and applications, in the presence or absence of organizational adoption, for activities at the front-end of innovation. Web 2.0 applications often exhibit organic pathways to use, which differ from the IT department-led technology adoption more commonly studied. They share similarities with tasks at the front end of innovation. The former are highly structurable and given to flexible use. The latter, such as knowledge sharing, collaboration and information search are decentralized and unstructured. It is thus reasonable to assume that Web 2.0 tools should be beneficial for these tasks. Our model draws primarily from adaptive structuration theory, but also integrates concepts and constructs from theories of technology acceptance and task-technology fit. Implications for theory and practice are addressed.
Switching power supplies for special vehicle applications

The paper presents switching power supplies with MC34063 and µA78S40 monolithic switching regulator subsystems and DC-DC step-up converter that can be used in special vehicle applications. General description of MC34063 and µA78S40 operation modes, mathematical design and PSpice under ORCAD simulation of the whole switching power supply, a numerical example and the practical implementation are included. Some practical considerations are also presented.
A New Flux-Concentrating Rotor of Permanent Magnet Motor for Electric Vehicle Application

This article presents a new interior permanent magnet (IPM) rotor structure/ assembly, which inherits from the Halbach magnet configuration and spoke-type IPM rotor to achieve a high saliency ratio and high torque/ power density. With this rotor structure, the torque density and power density are improved obviously, while the rotor inner diameter can be maximized to reduce core material and increases internal space in the rotor. Accordingly, the electromagnetic performance of three motors consists of a unified stator but different rotors, namely flux-concentrating rotor, Halbach array permanent magnet (PM) rotor and spoke-type IPM rotor is compared by finite element analysis. Nevertheless, due to the segmented structure of flux-concentrating PM rotor without magnetic bridges, the mechanical challenges are analyzed in detail for electric vehicle application to hold the pole pieces validate the structural feasibility at 7200 r/min. Finally, a 72-slot/ 16-pole fractional-slot PM motor with new flux-concentrating rotor is manufactured and tested to verify its performance and feasibility. It can be concluded that the new rotor is superior to the spoke-type IPM and Halbach array PM rotor in terms of torque density and PM utilization.
A microstrip patch antenna using novel photonic band-gap structures

Printed antennas exemplified by the microstrip patch antenna offer an attractive solution to compact, conformal and low cost design of modem wireless communications equipment, RF sensors and radar systems. Recent applications have pushed the frequency well into the ram-wave region even in the commercial arena as evidenced by the worldwide race to develop advanced collision warning radar systems for automobiles at the 76 GHz band. [1] Microstrip-based planar antennas fabricated on a substrate with a high dielectric constant (Si, GaAs and InP) are strongly preferred for easy integration with the MMIC RF front-end circuitry. However, it is well known that patch antennas on high dielectric constant substrates are highly inefficient radiators due to surface wave losses and have very narrow frequency bandwidth (approximately one to two percent). This situation becomes extremely severe as applications move to higher frequencies, resulting in patch antennas with reduced gain and efficiency as well as an unacceptably high level of cross polarization and mutual coupling within an array environment. Therefore, much effort has been made recently to realize high efficiency patch antennas on high permittivity substrates, including using the latest micromachining technology. [2,3]
Implementing Transparency Logging for an Issue Tracking System

On the Internet today, users are accustomed to disclosing personal information when accessing a new service. When a user does so, there is rarely a system in place which allows the user to monitor how his or her information is actually shared or used by services. One proposed solution to this problem is to have services perform transparency logging on behalf of users, informing them how their data is processed as processing is taking place. We have recently participated in a collaboration to develop a privacy-preserving secure logging scheme that can be used for the purpose of transparency logging. As part of that collaboration we created a proof of concept implementation. In this thesis, we elaborate on that implementation and integrate it with a minimalistic open source issue-tracking system. We evaluate the amount of work required to integrate the logging system and attempt to identify potential integration problems. Using this issue-tracking system we then design and implement a scenario that demonstrates the value of the logging system to the average user.
A critical examination of research methodologies for studying human communication in the construction industry

In the field of construction management there has been a small but growing interest in communication research. A problem faced by researchers embarking on this type of study is whether or not the research tools of the social scientist will remain successful when transferred to a new environment. The paper reviews some of the pioneering research projects and the methodologies used to study communication data from the construction process. Informed by the review, three pilot studies were undertaken to determine the suitability of some of the data collection methods for use within a specific environment. A matrix, identifying issues for consideration and the degree of negotiation and co-operation required to gain communication data from a prescribed context, is proposed to guide future research.
Characterisation and correction of respiratory-motion artefacts in cardiac PET-CT

Respiratory motion during cardiac Positron Emission Tomography (PET) Computed Tomography (CT) imaging results in blurring of the PET data and can induce mismatches between the PET and CT datasets, leading to attenuation-correction artefacts. The aim of this project was to develop a method of motion-correction to overcome both of these problems. The approach implemented was to transform a single CT to match the frames of a gated PET study, to facilitate respiratory-matched attenuation-correction, without the need for a gated CT. This is benecial for lowering the radiation dose to the patient and in reducing PETCT mismatches, which can arise even in gated studies. The heart and diaphragm were identied through phantom studies as the structures responsible for generating attenuation-correction artefacts in the heart and their motions therefore needed to be considered in transforming the CT. Estimating heart motion was straight-forward, due to its high contrast in PET, however the poor diaphragm contrast meant that additional information was required to track its position. Therefore a diaphragm shape model was constructed using segmented diaphragm surfaces, enabling complete diaphragm surfaces to be produced from incomplete and noisy initial estimates. These complete surfaces, in combination with the estimated heart motions were used to transform the CT. The PET frames were then attenuation-corrected with the transformed CT, reconstructed, aligned and summed, to produce motion-free images. It was found that motion-blurring was reduced through alignment, although benets were marginal in the presence of small respiratory motions. Quantitative accuracy was improved from use of the transformed CT for attenuation-correction (compared with no CT transformation), which was attributed to both the heart and the diaphragm transformations. In comparison to a gated CT, a substantial dose saving and a reduced dependence on gating techniques were achieved, indicating the potential value of the technique in routine clinical procedures.
Local-Tetra-Patterns for Face Recognition Encoded on Spatial Pyramid Matching

Face recognition is a big challenge in the research field with a lot of problems like misalignment, illumination changes, pose variations, occlusion, and expressions. Providing a single solution to solve all these problems at a time is a challenging task. We have put some effort to provide a solution to solving all these issues by introducing a face recognition model based on local tetra patterns and spatial pyramid matching. The technique is based on a procedure where the input image is passed through an algorithm that extracts local features by using spatial pyramidmatching andmax-pooling.Finally, the input image is recognized using a robust kernel representation method using extracted features. The qualitative and quantitative analysis of the proposed method is carried on benchmark image datasets. Experimental results showed that the proposed method performs better in terms of standard performance evaluation parameters as compared to state-of-the-art methods on AR, ORL, LFW, and FERET face recognition datasets.
A composite index for the benchmarking of eHealth Deployment in European acute Hospitals. Distilling reality in manageable form for evidence based policy

Benchmarking is an important pillar of European policy making and has acquired a ‘quasi-regulatory’ role within the Open Method of Coordination in that it helps the Commission and MS to set target and monitor their achievement. After at least a decade of policy efforts and investments of public money to digitalise healthcare delivery it is a good time to take stock of where we stand in terms of take up, usage and impact. Applying state of the art multivariate statistical analysis to the data of survey of eHealth deployment in Acute European Hospitals funded by Unit C4 of DG INFSO, JRC-IPTS researchers have constructed a composite indicator of take up and usage of eHealth in European hospitals, as well as a typology of impacts. This combined analysis clearly show how, if methodology and substantive policy issues are rightly integrated, benchmarking can really contribute to the policy process and help decision makers fill existing gaps and invest into promising directions. How to obtain EU publications Our priced publications are available from EU Bookshop (http://bookshop.europa.eu), where you can place an order with the sales agent of your choice. The Publications Office has a worldwide network of sales agents. You can obtain their contact details by sending a fax to (352) 29 29-42758. The mission of the Joint Research Centre is to provide customer-driven scientific and technical support for the conception, development, implementation and monitoring of European Union policies. As a service of the European Commission, the Joint Research Centre functions as a reference centre of science and technology for the Union. Close to the policy-making process, it serves the common interest of the Member States, while being independent of special interests, whether private or national. LF-N A -2425-EN -N
Cable Engineering for Local Area Networks

Basic applied mathematics basic physics - electrical basic physics - optical communications theory local area networking and associated cabling copper cable technology - components copper cable technology - transmission characteristics copper cable technology - testing optical cable technology - optical fibre optical cable technology - cable optical cable technology - components optical cable technology - testing cable system design and international standards. Appendices: list of relevant standards contact addresses for standards organizations and other interested bodies.
New Kids on the Block

The evolution of quantitative methods in finance is changing the investment management industry. With an altered focus in finance and investment theory, theoretical concepts such as market efficiency and market equilibrium have ceded ground to econometric methods that allow a more pragmatic investigation of asset predictability. Mean-variance optimization, one of the cornerstones of classic finance theory, presents some problems in practice, and recent developments in Bayesian modeling and robust optimization techniques circumvent some of its weaknesses. Beyond the classic framework, we must model the feedback mechanisms that we know to operate in financial markets, with caution as to model risk, data snooping, and overfitting biases.
Motion Sensors in Physical Therapy

This thesis studies the use of off-the-shelf motion sensing technology in physical therapy rehabilitation. The aim of this thesis is to evaluate how suitable existing commercially available video gaming consoles are for use in physical therapy and explore the challenges associated with creating custom therapeutic systems based on existing platforms. A set of qualitative data gathering activities were selected; observations, workshops, interviews and prototyping. Five physical therapists working at hospitals were selected as participants. Through these activities empirical data was obtained for further analysis and discussion. The participating therapists suggested that existing games were only to a small extent directly applicable as treatment methods, hence custom tailored games should be developed. Patients have very different needs, and the existing games are developed with mainly healthy people in mind, and therefore it is not obvious that they are applicable as rehabilitation treatment. To develop games for patients that need physical therapy, knowledge in this field is needed - hence the involvement of five specialists cooperating with a system developer. The findings indicate that games to be used in physical therapy ideally need to be extremely customizable by the therapists to allow adjustments to individual patient needs. This leads to a set of design guidelines for developing rehabilitation games with motion sensing input devices. The physical therapists in this thesis are positive towards introducing Nintendo Wii to their patients, and see great potential in using the Wii as a tool in their future work.
Tools for Estimating VMT Reductions from Built Environment Changes

Built environment characteristics are associated with walking, bicycling, transit use, and vehicle miles traveled (VMT). Developing built environments supportive of walking, bicycling, and transit use can help meet state VMT reduction goals. But tools are necessary to understand how changes to the built environment may translate into changes in travel. Such tools can help optimize land use and transportation investments for reduced VMT and communicate such changes to the public. This report reviews the built environment characteristics associated with travel and the tools available that utilize these built environment characteristics to estimate travel and related outcomes such as vehicle emissions and health co-benefits. Tools ranged from simple to complex, and a number of factors should be considered when applying a tool to a planning effort.
Raking money from muck

As regulations increase municipal and industrial sludge production and decrease the number of disposal alternatives, innovative technology is tackling the mountains of waste that can no longer be dumped at sea or landfilled. The paper describes processes to dewater, dry, incinerate, gasify, or vitrify sludges for energy recovery or useful by-products.
Correlation between universal BCG vaccination policy and reduced mortality for COVID-

8 COVID-19 has spread to most countries in the world. Puzzlingly, the impact of the disease varies 9 in different countries. This variation is attributed to differences in cultural norms, mitigation efforts, 10 and health infrastructure. Here, we propose that national differences in COVID-19 impact could 11 be partially explained by different national policies with respect to Bacillus Calmette-Guérin (BCG) 12 vaccination. BCG vaccination has been reported to offer broad protection from other respiratory 13 infections besides tuberculosis. We compared BCG vaccination policies with the morbidity and 14 mortality for COVID-19 for middle-high and high-income countries. We found that countries 15 without universal policies of BCG vaccination (Italy, the Netherlands, USA) have been more 16 severely affected compared to countries with universal and long-standing BCG policies. The 17 difference cannot be accounted for by differences in disease onset, adoption of early social 18 distancing policies, state of health services, nor income level. Reduced mortality suggests BCG 19 vaccination could be a potential new tool in the fight against COVID-19.
Facility-Level and System-Level Stochastic Optimization of Bridge Maintenance Policies for Markovian Management Systems

This dissertation addresses the determination of optimal decisions for bridge maintenance and repair both for one facility and for a system of heterogeneous facilities. Deterioration models are used to predict the future condition of facilities, which is required in the optimization. More specifically, deterioration models decrease or capture the uncertainty regarding future condition. This dissertation concentrates on the use of deterioration models that take into account aspects of the history of deterioration and maintenance. The first part of the dissertation presents the optimization of bridge inspection, maintenance, and repair decisions for a system of heterogeneous facilities, using a deterioration model from the literature; this model is non-Markovian, and its formulation makes the optimization problem computationally complex. The determination of exact optimal solutions is unlikely to be achieved in polynomial time, and we derive bounds on the optimal cost. We show in a case study that these bounds are close to the optimal cost, which indicates that the corresponding policies are near optimal. The second part of the dissertation presents the optimization of maintenance and repair decision for a system of heterogeneous bridge decks, using a Markovian deterioration model. The dependence of this model on history is achieved by including aspects of the history of deterioration and maintenance as part of the state space of the model. We present an approach to estimate the transition probabilities of the model, using Monte Carlo simulation. This model is then used to formulate the problem of optimizing maintenance and repair decisions for one bridge deck as a finite-state, finite-horizon Markov decision process. Numerical simulations show that the benefits provided by this augmented-state model, compared to a simpler Markovian model, are substantial. Based on the facility-level results, optimal maintenance and repair decisions are determined for a system of heterogeneous facilities. Recommendations are provided for each facility, and we provide formal proofs of optimality in the continuous case. A numerical study shows that the results obtained in the discrete-case implementation seem to be valid approximations of the continuous-case results. The computational efficiency of the system-level solution makes this approach applicable to systems of realistic sizes.
Active and quasi - optical arrays for solid - state power combining

Quasi--Optical Power Combining (R. York). Spatial Power Combining (M. Gouker). Active Integrated Antennas (S. Chew & T. Itoh). Coupled--Oscillator Arrays and Scanning Techniques (J. Lynch, et al.). Quasi--Optical Antenna--Array Amplifiers (Z. Popovic, et al.). Multilayer and Distributed Arrays (A. Mortazawi, et al.). Planar Quasi--Optical Power Combining (M. Steer, et al.). Grid Oscillators (Z. Popovic, et al.). Grid Amplifiers (M. De Lisio & C. Liu). Beam--Control Arrays (K. Stephan). Frequency Conversion Grids (J. Chiao). Quasi--Optical Subsystems (Z. Popovic & G. Johnson). Commercial Applications of Quasi--Optics (R. Campton, et al.). Index.
Combinatorial optimization and Markov decision process for planning MRI examinations

This research is motivated by our collaborations with a large French university teaching hospital in order to reduce the Length of Stay (LoS) of stroke patients treated in the neurovascular department. Quick diagnosis is critical for stroke patients but relies on expensive and heavily used imaging facilities such as MRI (Magnetic Resonance Imaging) scanners. Therefore, it is very important for the neurovascular department to reduce the patient LoS by reducing their waiting time of imaging examinations. From the neurovascular department perspective, this thesis proposes a new MRI examinations reservation process in order to reduce patient waiting times without degrading the utilization of MRI. The service provider, i.e., the imaging department, reserves each week a certain number of appropriately distributed contracted time slots (CTS) for the neurovascular department to ensure quick MRI examination of stroke patients. In addition to CTS, it is still possible for stroke patients to get MRI time slots through regular reservation (RTS). This thesis first proposes a stochastic programming model to simultaneously determine the contract decision, i.e., the number of CTS and its distribution, and the patient assignment policy to assign patients to either CTS or RTS. To solve this problem, structure properties of the optimal patient assignment policy for a given contract are proved by an average cost Markov decision process (MDP) approach. The contract is determined by a Monte Carlo approximation approach and then improved by local search. Computational experiments show that the proposed algorithms can efficiently solve the model. The new reservation process greatly reduces the average waiting time of stroke patients. At the same time, some CTS cannot be used for the lack of patients.To reduce the unused CTS, we further explore the possibility of the advance cancellation of CTS. Structure properties of optimal control policies for one-day and two-day advance cancellation are established separately via an average-cost MDP approach with appropriate modeling and advanced convexity concepts used in control of queueing systems. Computational experiments show that appropriate advance cancellations of CTS greatly reduce the unused CTS with nearly the same waiting times.