Miracle-dz/UniFAR-FTUs huggingface dataset:
Modeling the determinants of the use of care services by the elderly

A common characteristic of the EC countries is a general tendency towards an aging society. This demographic change is expected to have among others important consequences for the use of care services: the EC countries have all become aware of, on the one hand, the expected increase of use of care services for the elderly and the related increase of public expenditures and, on the other hand, the limited public budgets. Therefore, the aim of care services policy in the EC countries is to make the provision of these services compatible with financial limitations on public budgets. After a brief overview of the different policy responses regarding care services for the elderly in the EC countries, this paper will be focussed on the recent Dutch care services policy, i.e. the substitution policy. In short, the substitution policy aims to reduce public expenditures for care services for the elderly by a shift from expensive intramural care services to semi-mural and extramural care services, under the condition of an equal quality level of services. In addition to this shift in the public services themselves, the Dutch government tries to realize a slv'ft from public to private and/or (semi-) informal service provisions (including self-help). After an analysis of the potential and the problems involved in the substitution strategy for these care services, we will focus our attention on the demand side. The purpose of this paper is to test the feasibility of the substitution strategy. For this purpose, a logit model will be developed and estimated in order to identify factors that may be significant in determining whether a selected elderly person is likely to use extramural care services. Given the results from this empirical analysis, the paper will be concluded with some reflective remarks.
Peroneus longus: Most promising autograft for arthroscopic ACL reconstruction

The ACL injury is one of the most common serious injury in the knee due to its primary stabilizing role and importance in knee biomechanics. ACL injuries are commonly associated with sports injuries and road traffic accidents. The primary aim of ACL reconstruction is to restore the function of the ACL and native kinematics of the knee. ACL reconstruction restores the stability of the knee joint and protects the menisci and joint surfaces from further damage. The most preferred graft tissues for ACL reconstruction are hamstrings in view of better cosmesis, satisfactory results and to minimize postoperative mobility. However use of peroneus tendon graft is increasing in view of simplicity of the technique. Peroneus longus graft harvest is possible due to synergistic action of peroneus longus and peroneus brevis. Even some studies suggest that peroneus brevis is more effective evertor than peroneus longus, justifying harvest of peroneus longus tendon. We evaluated results of arthroscopic ACL reconstruction with peroneus longus graft in 10 patients using Lysholm score and donor site morbidity of foot and ankle after tendon harvesting using AOFAS (American orthopaedic foot and ankle score) and FADI (Foot and Ankle Disability Index) score. Peroneus longus tendon is the most promising autograft for ACL reconstruction with advantage of simplicity of harvesting technique, larger graft diameter and minimal graft complications.
Uniformization Results on Regular Cost Functions

B-automata are automata that can compute functions from words to non-negative integers or infinity. In this paper we give another semantics to the hierarchical variant of these automata. This new semantics is equivalent to the classical one in the terminology of cost functions: functions computed are equivalent up to a polynomial factor. We provide three applications of this technique. In our first application we provide a deterministic streaming algorithm (it reads an input word from left to right) for evaluating a fixedB-automaton which uses logarithmic memory only. A similar evaluation would require polynomial memory when using the original semantics. Our second theorem shows that for games with hB -quantitative objectives, there are memoryless strategies that are uniformly optimal, i.e., optimal from any starting point. Finally, we introduce a new form of history-determinism that is uniform in the sense that translation strategies are independent from bounds. While it is known that uniform history-determinism cannot be enforced for usual B-automata, we disclose new forms of (equivalent) automata that have this property.
University of Southern Denmark Ruling out critical Higgs inflation ?

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Identification and Characterization of a Baboon Reovirus-Specific Nonstructural Protein Encoded by the Bicistronic S 4 Genome Segment

All characterized orthoreoviruses encode a characteristic spike-like protein on their polycistronic S1 genome segments that mediates virus cell attachment. In the case of baboon reovirus (BRV), the polycistronic S-class genome segment corresponds to the smallest S4 segment. We recently determined that the 5 -proximal open reading frame (ORF) of the bicistronic S4 segment encodes a nonstructural protein responsible for virus-induced syncytium formation. Current analysis indicates that the p16 protein encoded by the 3 -proximal ORF of the BRV S4 genome segment shows no sequence similarity to any other protein encoded by the orthoreoviruses, including the well-characterized 1/ C reovirus cell attachment protein. Results indicate that p16 is a BRV-specific nonstructural protein that is not required for virus infection in cell culture and is not involved in viral cell attachment. In conjunction with previous studies of the BRV S1, S2, and S3 genome segments, the current results indicate that, unlike all other orthoreoviruses, BRV does not encode a cell attachment protein in its S-class y studi in to m
Economic Reforms and Private Investment in the Middle East and North Africa

During the 1980s and the 1990s, private investment in the Middle East and North Africa (MENA) has on average shown a decreasing or stagnant trend. This contrasts with the situation of the Asian economies, where private investment has always been more dynamic. In this paper, it is empirically shown for a panel of 39 developing economies--among which four MENA countries-that in addition to the traditional determinants of investment--such as the growth anticipations and the real interest rate--government policies explain MENA’s low investment rate. Insufficient structural reforms--which have most of the time led to poor financial development and deficient trade openness--have been a crucial factor for the deficit in private capital formation. The economic uncertainties of the region have represented another factor of the firm’s decisions not to invest. These uncertainties have consisted of the external debt burden and various measures of
Title The spatial distribution of known predictors of autism spectrum disorders impacts geographic variability in prevalence in central North Carolina Permalink

Background: The causes of autism spectrum disorders (ASD) remain largely unknown and widely debated; however, evidence increasingly points to the importance of environmental exposures. A growing number of studies use geographic variability in ASD prevalence or exposure patterns to investigate the association between environmental factors and ASD. However, differences in the geographic distribution of established risk and predictive factors for ASD, such as maternal education or age, can interfere with investigations of ASD etiology. We evaluated geographic variability in the prevalence of ASD in central North Carolina and the impact of spatial confounding by known risk and predictive factors. Methods: Children meeting a standardized case definition for ASD at 8 years of age were identified through records-based surveillance for 8 counties biennially from 2002 to 2008 (n=532). Vital records were used to identify the underlying cohort (15% random sample of children born in the same years as children with an ASD, n=11,034), and to obtain birth addresses. We used generalized additive models (GAMs) to estimate the prevalence of ASD across the region by smoothing latitude and longitude. GAMs, unlike methods used in previous spatial analyses of ASD, allow for extensive adjustment of individual-level risk factors (e.g. maternal age and education) when evaluating spatial variability of disease prevalence. Results: Unadjusted maps revealed geographic variation in surveillance-recognized ASD. Children born in certain regions of the study area were up to 1.27 times as likely to be recognized as having ASD compared to children born in the study area as a whole (prevalence ratio (PR) range across the study area 0.57-1.27; global P=0.003). However, geographic gradients of ASD prevalence were attenuated after adjusting for spatial confounders (adjusted PR range 0.72-1.12 across the study area; global P=0.052). Conclusions: In these data, spatial variation of ASD in central NC can be explained largely by factors impacting diagnosis, such as maternal education, emphasizing the importance of adjusting for differences in the geographic distribution of known individual-level predictors in spatial analyses of ASD. These results underscore the critical importance of accounting for such factors in studies of environmental exposures that vary across regions.
A Compact Microstrip Slot Antenna for C-Band Application

In this paper author presents a compact microstrip slot antenna for C band application . The antenna is designed on Roger RT Duroid 5880 (1.5mm) substrate with permittivity 2.2 and dimension of ground plane 20x24 mm 2 . The patch has a dimension of 12x14 mm 2 on which slots are been made . The proposed antenna is able to achieve impedance bandwidth of 200MHz from 6.11GHz to 6.31 GHz and has a maximum gain of 4.9dBi at resonant frequency. Return loss, Electric field distribution, Polar plot, Radiation pattern and directivity of the proposed antenna is obtained and studied in this paper. All simulations are done on HFSS software.
MODELING INTERFACIAL TENSION EFFECTS IN NUMERICAL SIMULATIONS

Interfacial tension plays an important role in a large variety of problems, such as ink-jet printing, emulsification and break-up of liquid jets. Flows involving interfacial tension effects can be simulated numerically by the inclusion of these effects in the equations for conservation of momentum through a model. When a volume method – like the Volume of Fluid (VOF) method – is employed to track the position of the interface, the treatment of the interfacial tension effects becomes a complex task, as they must be considered at such a narrow region as is the interface. In order to deal with this difficulty the Continuum Surface Force model (CSF) was developed. In this model the force due to interfacial tension is included in the Navier-Stokes equations as a body force, which acts in a limited region around the interface. One of the variables considered in the evaluation of this force is the curvature of the interface. The major aim of this paper is to present some models of assessment of this variable and to compare the results obtained by each one of them. In this work the following curvature-models were implemented: Height Function method (HF), Convolution technique, Height Function filtered by a convolution kernel (HF-fc), and an enhanced Height Function method (HF2). This last model is proposed by the authors as it was observed that the spurious currents generated by the HF method were associated to the local anisotropy of the curvature field and to errors in its estimation. In order to compare these models two test cases were simulated: the static drop in equilibrium and the rising bubble in a resting fluid. The results were compared to those published in the literature. In the static drop case when the L2 error norm of the velocity was analyzed, it was observed first-order convergence for the convolution technique, while it was verified second-order convergence for the three other models. However, there is an increasing tendency in this error for the HF method when fine meshes are used. This is also the overall behavior for the L2 error norm for the curvature. The results for the rising bubble show that good agreement to those published in literature is achieved by the HF and HF2 methods, while the effects of spurious currents are more pronounced in the results obtained by the other two models.
ff ects of Contractual Form on Public Transport Satisfaction : Evidence from Large-and Medium-Sized Cities in China

This paper discusses and explores the different effects of contractual forms on the satisfaction with public transport (PT) at different urban scales. Using public transport systems in 12cities in China as the focus (four large-I-sized cities, four large-II-sized cities, and four medium-sized cities), a measurement model of the passenger satisfaction index (PSI) is constructed and estimated on the basic of the adjusted European Customer Satisfaction Index (ECSI) and Partial least square-structural equation model (PLS-SEM), respectively. Then, a two-stage truncation regression bootstrap model is proposed to assess the different effects between them. The major findings of this study are summarized as follows: (1) different effects of contractual forms on PT satisfaction in largeand medium-sized cities are confirmed. (2) In large-I-sized cities and lager II sized cities, operators supervised by management contracts incite higher PT satisfaction levels than those supervised by gross and net cost contracts. (3) In medium-sized cities, operators supervised by gross cost contracts provide incentives to be the satisfaction compared to those of management and net cost contracts. According to different urban scales, different and appropriate contractual forms and supervision mechanisms should be chosen to regulate public transport services.
Ext 4 block and inode allocator improvements

File systems have conflicting needs with respect to block allocation for small and large files. Small related files should be nearby on disk to maximize disk track cache and avoid seeking. To avoid fragmentation, files that grow should reserve space. The new multiple block and delayed allocators for Ext4 try to satisfy these requirements by deferring allocation until flush time, packing small files contiguously, and allocating large files on RAID device-aligned boundaries with reserved space for growth. In this paper, we discuss the new multiple block allocator for Ext4 and compare the same with the reservation-based allocation. We also discuss the performance advantage of placing the meta-data blocks close together on disk so that meta-data intensive workloads seek less.
An Integrated Qualitative and Quantitative Approach to Make a Marketing Strategy for China's Premium Car Market

An Integrated Qualitative and Quantitative Approach to Make a Marketing Strategy for China's Premium Car Market Sub Title Author 呂, 暁翔(Lu, Xiaoxiang) 中野, 冠(Nakano, Masaru) Publisher 慶應義塾大学大学院システムデザイン・マネジメント研究科 Publication year 2014 Jtitle Abstract Notes 修士学位論文. 2014年度システムエンジニアリング学 第157号 Genre Thesis or Dissertation URL https://koara.lib. keio.ac. jp/xoonips/modules/xoonips/detail.php? koara_id=KO40002001-0000201 4-0013
True Feasible RegionWrong Feasible Region Set of Optimal Solutions True Feasible RegionWrong Feasible Region Set of Optimal Solutions

Nowadays, the top-k accuracy is a major performance criterion when benchmarking multiclass classifier using datasets with a large number of categories. Top-k multiclass SVM has been designed with the aim to minimize the empirical risk based on the top-k accuracy. There already exist two SDCA-based algorithms to learn the top-k SVM, enjoying several preferable properties for optimization, although both the algorithms suffer from two disadvantages. A weak point is that, since the design of the algorithms are specialized only to the top-k hinge, their applicability to other variants is limited. The other disadvantage is that both the two algorithms cannot attain the optimal solution in most cases due to their theoritical imperfections. In this study, a weighted extension of top-k SVM is considered, and novel learning algorithms based on the Frank-Wolfe algorithm is devised. The new learning algorithms possess all the favorable properties of SDCA as well as the applicability not only to the original top-k SVM but also to the weighted extension. Geometrical convergence is achieved by smoothing the loss functions. Numerical simulations demonstrate that only the proposed Frank-Wolfe algorithms can converge to the optimum, in contrast with the failure of the two existing SDCA-based algorithms. Finally, our analytical results for these two studies are presented to shed light on the meaning of the solutions produced from their algorithms.
Light-by-light scattering in ultra-peripheral Pb + Pb collisions at √ s NN = 5 . 02 TeV with the ATLAS detector at the LHC The ATLAS Collaboration

This note reports evidence for light-by-light scattering, using 480 μb−1 of Pb+Pb collision data at sNN =5.02 TeV recorded by the ATLAS experiment at the LHC. After background subtraction and analysis corrections, the cross section of γγ → γγ process for photon transverse momentum, ET > 3 GeV, photon pseudorapidity, |η | < 2.4, diphoton invariant mass greater than 6 GeV, diphoton transverse momentum lower than 2 GeV and diphoton acoplanarity below 0.01, has been measured to be 70 ± 20 (stat.) ± 17 (syst.) nb, which is in agreement with the SM prediction of 49 ± 10 nb. © 2016 CERN for the benefit of the ATLAS Collaboration. Reproduction of this article or parts of it is allowed as specified in the CC-BY-4.0 license.
An Ensemble Filter for Indoor Positioning in a Retail Store Using Bluetooth Low Energy Beacons

This paper has developed and deployed a Bluetooth Low Energy (BLE) beacon-based indoor positioning system in a two-floor retail store. The ultimate purpose of this study was to compare the different indoor positioning techniques towards achieving efficient position determination of moving customers in the retail store. The innovation of this research lies in its context (the retail store) and the fact that this is not a laboratory, controlled experiment. Retail stores are challenging environments with multiple sources of noise (e.g., shoppers’ moving) that impede indoor localization. To the best of the authors’ knowledge, this is the first work concerning indoor localization of consumers in a real retail store. This study proposes an ensemble filter with lower absolute mean and root mean squared errors than the random forest. Moreover, the localization error is approximately 2 m, while for the random forest, it is 2.5 m. In retail environments, even a 0.5 m deviation is significant because consumers may be positioned in front of different store shelves and, thus, different product categories. The more accurate the consumer localization, the more accurate and rich insights on the customers’ shopping behavior. Consequently, retailers can offer more effective customer location-based services (e.g., personalized offers) and, overall, better consumer localization can improve decision making in retailing.
Multi-Objective Optimization for Plug-In 4WD Hybrid Electric Vehicle Powertrain

This paper focuses on the parameter optimization for the CVT (a continuously variable transmission) based plug-in 4WD (4-wheel drive) hybrid electric vehicle powertrain. First, the plug-in 4WD hybrid electric vehicle (plug-in 4WD HEV)’s energy management strategy based on the CD (charge depleting) and CS (charge sustain) mode is developed. Then, the multi-objective optimization’s mathematical model, which aims at minimizing the electric energy consumption under the CD stage, the fuel consumption under the CS stage and the acceleration time from 0–120 km/h, is established. Finally, the multi-objective parameter optimization problem is solved using an evolutionary based non-dominated sorting genetic algorithms-II (NSGA-II) approach. Some of the results are compared with the original scheme and the classical weight approach. Compared with the original scheme, the best compromise solution (i.e., electric energy consumption, fuel consumption and acceleration time) obtained using the NSGA-II approach are reduced by 1.21%, 6.18% and 5.49%, respectively. Compared with the weight approach, the Pareto optimal solutions obtained using NSGA-II approach are better distributed over the entire Pareto optimal front, as well as the best compromise solution is also better.
RTPO: A Domain Knowledge Base for Robot Task Planning

Knowledge can enhance the intelligence of robots’ high-level decision-making. However, there is no specific domain knowledge base for robot task planning in this field. Aiming to represent the knowledge in robot task planning, the Robot Task Planning Ontology (RTPO) is first designed and implemented in this work, so that robots can understand and know how to carry out task planning to reach the goal state. In this paper, the RTPO is divided into three parts: task ontology, environment ontology, and robot ontology, followed by a detailed description of these three types of knowledge, respectively. The OWL (Web Ontology Language) is adopted to represent the knowledge in robot task planning. Then, the paper proposes a method to evaluate the scalability and responsiveness of RTPO. Finally, the corresponding task planning algorithm is designed based on RTPO, and then the paper conducts experiments on the basis of the real robot TurtleBot3 to verify the usability of RTPO. The experimental results demonstrate that RTPO has good performance in scalability and responsiveness, and the robot can achieve given high-level tasks based on RTPO.
QUANTUM CHERNOFF DEGREE OF POLARIZATION OF THE WERNER STATE

1 Centre for Advanced Quantum Physics, Department of Physics, University of Bucharest, P. O. Box MG-11, RO-077125, Bucharest-Magurele, Romania 2 University Politehnica of Bucharest, Faculty of Applied Sciences, Department of Mathematical Methods and Models, Splaiul Independentei 313, RO-060042 Bucharest, Romania 3 Department of Theoretical Physics, National Institute for Physics and Nuclear Engineering, P. O. Box MG-6, RO-077125, Bucharest-Magurele, Romania 4 Academy of Romanian Scientists, 54 Splaiul Independentei, Bucharest 050094, Romania E-mail: isar@theory.nipne. ro Corresponding author: Iulia Ghiu, E-mail: iulia.ghiu@g.unibuc. ro
The moderating roles of fashion innovativeness and involvement in the attitude toward online customization in Taiwan apparel market

The focus of this research is to examine the relationship of consumers’ beliefs and attitude toward online customization for apparel in Taiwan. Based on a previous study, the research model extended the Technology Acceptance Model with additional constructs, trust and other individual traits, fashion innovativeness and fashion involvement as moderators in the model. This study will examine the validity of the model in the context of online customization for apparel and Taiwan consumers. As results, this study will provide practical implications to e-retailers, allow verification of universal theory application, and allow firms to develop the segmentation strategy to attract technologically proficient customers according to different consumer traits.