Miracle-dz/UniFAR-FTUs huggingface dataset:
Pre- and Postevaluation of Residents’ Participation and Support of the 2012 London Olympics

Even if the participation of locals is limited in mega-event decision-making, their support is crucial to the event’s success. Using Social Exchange Theory, the study examines the extent to which community participation and perceived impacts affect residents’ support of mega-events. Implementing a structural model, the examination is based on the combination of two pieces of research undertaken before and after the London Olympics. Findings confirm the importance of perceived benefits and costs in community support. They also reveal the increase in positive perceptions after the event, the strengthening of community participation willingness and residents’ support, and provide an understanding of the role of perceived success in perspective formulation. Moreover, the study uses an explanatory model for the visualisation of the findings.
iACT: A Software-Hardware Framework for Understanding the Scope of Approximate Computing

Approximate computing has recently emerged as a paradigm for enabling energy efficient software and hardware implementations by exploiting the inherent resiliency in applications to impreciseness in their underlying computations. Much of the previous work in this area has demonstrated the potential for significant energy and performance improvements, but these works largely consist of ad hoc techniques that are applied to a small number of similar applications. Mainstream adoption of approximate computing requires a deeper understanding of the inherent application resilience and the codesign hardware to go with the software. This dictates tools and methods that can help programmers reason about the scope and behavior of approximations in applications. To this end, this paper discusses an open source toolkit, called iACT (Intel’s Approximate Computing Toolkit) to analyze and study the scope of approximations in applications. Our toolkit consists of a compiler, runtime and a simulated hardware test bed. We discuss the design of this toolkit and present examples of how to use this toolkit in this paper. As an example on how to use this toolkit, we include two different applications and analyze the scope of approximate computing in these.
Multi-agent system modeling for managing limited distributed generation of microgrid

This paper focuses on operation of small scale renewable plants so that the energy produced can be utilized to its highest potential. Energy crisis being one of the main problems is leading the researchers to find fossil fuel replacement which is eventually renewable energy. In most cases, renewable energy is unpredictable as tehy rely on the nature. Besides, in developing countries it is discouraged to install renewable technology due to their random nature. In order to design a reliable microgrid where renewable resources contribute to its grid power supply, multi-agent system has been incorporated to add intelligence to the system. The various loads to be fed are divided according to importance. The proposed concept also allows sharing of load among utility supply and renewable sources during normal operation.
The Monte Carlo method in quantum field theory

This series of six lectures is an introduction to using the Monte Carlo method to carry out nonperturbative studies in quantum field theories. Path integrals in quantum field theory are reviewed, and their evaluation by the Monte Carlo method with Markov-chain based importance sampling is presented. Properties of Markov chains are discussed in detail and several proofs are presented, culminating in the fundamental limit theorem for irreducible Markov chains. The example of a real scalar field theory is used to illustrate the Metropolis-Hastings method and to demonstrate the effectiveness of an action-preserving (microcanonical) local updating algorithm in reducing autocorrelations. The goal of these lectures is to provide the beginner with the basic skills needed to start carrying out Monte Carlo studies in quantum field theories, as well as to present the underlying theoretical foundations of the method.
Reply to Fine

As should be clear, Modal Logic as Metaphysics owes a large debt to Kit Fine’s massive contributions to technical aspects of modal metaphysics, though it also takes issue with some of his proposals. In ‘Williamson on Fine on Prior on the reduction of possibilist discourse’, (Fine 2016), he defends much in his earlier proposals while providing it with a new basis. In this reply, I follow his order of discussion.
Effect of Shield-Can on Dynamic Response of Board-Level Assembly

In order to protect the electronic components of electronic devices on a printed circuitboard (PCB) against electromagnetic radiation, a conductive shield-can or box is nor-mally attached to the PCB covering the electronic components. In particular, handheldelectronic devices are prone to be subjected to drop impact. This means that the productswould experience a signiﬁcant amount of out-of-plane deformation along the PCB, whichmay cause stresses eventually resulting in solder joint failures. The attached shield-cancould provide additional mechanical strength and minimize the out-of-plane deformation,especially where the electronic package is located. In this study, both the dynamicresponses of the PCB and the characteristic life of solder joints with different shield-candesigns were investigated, which are seldom explored by other researchers. In the board-level drop tests, a noncontact full-ﬁeld optical measurement technique, digital imagecorrelation (DIC) with images taken by stereo-high-speed cameras, was used to obtainfull-ﬁeld displacement data showing the dynamic responses of the PCB during the dropimpact. PCBs with a ﬁne ball grid array (FBGA) package were prepared with varioustypes of shield-can attached. From the experimental results the effects of different shield-can types, varying in shape and size on the dynamic responses of the PCB, were analyzed.In addition, the number of drops to failure for each shield-can was also recorded byan event detector. Using ANSYS/LS-DYNA, an accurately validated ﬁnite element modelhas been developed. Then the stress analysis could be performed in order to study thefailure mechanism by ﬁnding the maximum tensile stress of the solder joints during thedrop impact and correlate the stress results with the characteristic life of solder joint. [DOI: 10.1115/1.4007118]
Fast computation of particle filters on processor arrays

We have developed a new variant of the particle filter algorithm for estimating a signal from noisy observations. It suits ideally implementation on a cellular processor array. The error of the new algorithm is essentially the same as that of the old one but it runs much faster, especially when there is a large number of particles to be simulated.
Forecasting Demand with Support Vector Regression Technique Combined with X13-ARIMA-SEATS Method in the Presence of Calendar Effect

In order to better manage and optimize supply chain, a reliable prediction of future demand is needed. The difficulty of forecasting demand is due mainly to the fact that heterogeneous factors may affect it. Analyzing such kind of data by using classical time series forecasting methods, will fail to capture such dependency of factors. This paper is released to present a forecasting approach of two stages which combines the recent methods X13-ARIMA-SEATS and Support Vector Regression (SVR). The aim of the first one is to remove the calendar effect, while the purpose of the second one is to forecast the demand after the removal of this effect. This approach is applied to three different case studies and compared to the forecasting method based on SVR alone.
Construction of one-loop N=4 SYM effective action on the mixed branch in the harmonic superspace approach

We develop the generic approach to the construction of the one-loop N = 4 SYM effective action on the mixed branch, depending both on N = 2 vector multiplet and on hypermultiplet background fields. Beginning with the formulation of N = 4 SYM theory in terms of N = 2 harmonic superfields, we construct the one-loop effective action using the covariant N = 2 harmonic supergraphs and calculate this effective action in N = 2 harmonic superfield form for constant Abelian strength Fmn and corresponding constant hypermultiplet fields. The hypermultiplet-dependent effective action is derived and given by integral over analytic subspace of harmonic superspace. We show that each term in Schwinger-De Witt expansion of the low-energy effective action is written as integral over full N = 2 superspace. ∗J.Buchbinder@damtp.cam. ac.uk, joseph@tspu.edu. ru †pletnev@math.nsc. ru ‡permanent address
Respiratory syncytial virus induces pneumonia, cytokine response, airway obstruction, and chronic inflammatory infiltrates associated with long-term airway hyperresponsiveness in mice.

BACKGROUND Respiratory syncytial virus (RSV) infection is associated with acute morbidity (e.g., pneumonia and airway obstruction [AO]) and long-term complications (e.g., airway hyperresponsiveness [AHR]). We present a comprehensive evaluation of the acute and chronic phases of RSV respiratory tract infection, using a mouse model. METHODS BALB/c mice were inoculated with RSV and monitored for 154 days. RSV loads and cytokines were measured in bronchoalveolar lavage (BAL) samples. Pneumonia severity was assessed using a standard histopathologic score, and pulmonary function was determined by plethysmography. RESULTS RSV-infected mice exhibited viral replication that peaked on day 4-5 and became undetectable by day 7. These mice developed acute pneumonia (peak days, 4-5) and chronic pulmonary inflammatory infiltrates that lasted up to 154 days after inoculation. BAL concentrations of tumor necrosis factor- alpha, interleukin (IL)-6, interferon- gamma, IL-4, IL-10, KC (an IL-8 homologue), MIG (CXCL9), RANTES, macrophage inflammatory protein-1 alpha, and eotaxin were significantly higher in RSV-infected mice than in control mice. RSV-infected mice developed acute AO during the first week of infection that persisted for 42 days. RSV-infected mice also showed significant AHR in response to methacholine up to 154 days. CONCLUSION This model provides a means to investigate the immunopathogenesis of RSV infection and its association with reactive airway disease.
The Use of Mixed Generalized Additive Modeling to Assess the Effect of Temperature on the Usage of Emergency Electrocardiography Examination among the Elderly in Shanghai

Background Acute coronary artery diseases have been observed to be associated with some meteorological variables. But few of the previous studies considered autocorrelated outcomes. Electrocardiography is a widely used tool in the initial diagnosis of acute cardiovascular events, and emergency electrocardiography counts were shown to be highly correlated with acute myocardial infarction in our pilot study, hence a good index of prediction for acute cardiovascular events morbidity among the elderly. To indirectly assess the impact of temperature on the number of acute cardiovascular events, we studied the association between temperature and emergency electrocardiography counts while considering autocorrelated nature of the response variables. Methods We collected daily emergency electrocardiography counts for elderly females and males in Shanghai from 2007 to middle 2012, and studied temperature and other effects on these data using Mixed Generalized Additive Modelling methods. Delayed temperature effect distribution was described as the weighted average of the temperatures within 3 days before the counts was recorded. Autoregressive random effects were used in the model to describe the autocorrelation of the response variables. Main Results Temperature effect was observed to be piecewise linearly associated with the logarithm of emergency electrocardiography counts. The optimal weights of the delayed temperature effect distribution were obtained from the model estimation. The weights of lag-1 were the maximums, significantly greater than the weights of lag-2 and lag-3 for both females and males. The model showed good fit with R2 values of 0.860 for females and 0.856 for males. Conclusion From the mixed generalized additive model, we infer that during cold and mild days, the number of emergency electrocardiography counts increase as temperature effect decreases, while during hot days, counts increase as temperature effect increases. Similar properties could be inferred for the occurrence of cardiovascular events.
Aspergillus fumigatus-Related Species in Clinical Practice

Aspergillus fumigatus is the main etiologic agent of invasive aspergillosis (IA). Other Aspergillus species belonging to the section Fumigati (A. fumigatus complex) may occasionally be the cause of IA. These strains are often misidentified, as they cannot be distinguished from A. fumigatus by conventional morphological analysis and sequencing methods. This lack of recognition may have important consequences as these A. fumigatus-related species often display some level of intrinsic resistance to azoles and other antifungal drugs. A. lentulus, A. udagawae, A. viridinutans, and A. thermomutatus (Neosartorya pseudofischeri) have been associated with refractory cases of IA. Microbiologists should be able to suspect the presence of these cryptic species behind a putative A. fumigatus isolate on the basis of some simple characteristics, such as defect in sporulation and/or unusual antifungal susceptibility profile. However, definitive species identification requires specific sequencing analyses of the beta-tubulin or calmodulin genes, which are not available in most laboratories. Multiplex PCR assays or matrix-assisted laser desorption ionization – time-of-flight mass spectrometry (MALDI-TOF MS) gave promising results for rapid and accurate distinction between A. fumigatus and other Aspergillus spp. of the section Fumigati in clinical practice. Improved diagnostic procedures and antifungal susceptibility testing may be helpful for the early detection and management of these particular IA cases.
Uniform Boilerplate and List Processing Or : Scrap Your Scary Types

Generic traversals over recursive data structures are often referred to as boilerplate code. The definitions of functions involving such traversals may repeat very similar patterns, but with variations for different data types and different functionality. Libraries of operations abstracting away boilerplate code typically rely on elaborate types to make operations generic. The motivating observation for this paper is that most traversals have value-specific behaviour for just one type. We present the design of a new library exploiting this assumption. Our library allows concise expression of traversals with competitive performance.
D-Branes, AdS/CFT Correspondence, and T-Duality

The $D$-brane spectra in the Type IIB string theory compactified on $AdS_{p+2}\times S^{8-p}$ are computed using the K-theory approach. The results signal the existence of the mirror-symmetry-analogue for $D$-branes, analogous to that rised in the context of derived categories.
Selecting Nursing Home Residents for Satisfaction Surveys 1

The Cerontologist Vol. 37, No. 4, 543-550 Many cognitively impaired nursing home (NH) residents are excluded from interviews measuring quality of life or care based on the belief that these residents cannot accurately answer questions. These exclusions are based on subjective criteria and ignore individual differences among cognitively impaired NH residents. This study describes a screening rule based on four minimum data set (MDS) indicators that provides an objective method for identifying residents capable of accurate report. Sixty percent of a sample of 83 NH residents who could answer yes or no questions about their care could do so accurately. Eighty-one percent of the sample was correctly classified by the MDS indicators.
Emotion dimensions and formant position

The influence of emotion on articulatory precision was investigated in a newly established corpus of acted emotional speech. The frequencies of the first and second formant of the vowels /i/, /u/, and /a/ was measured and shown to be significantly affected by emotion dimension. High arousal resulted in a higher mean F1 in all vowels, whereas positive valence resulted in higher mean values for F2. The dimension potency/control showed a pattern of effects that was consistent with a larger vocalic triangle for emotions high in potency/control. The results are interpreted in the context of Scherer's component process model.
REMOTE SENSING OF NORTH ATLANTIC STORMS: SYNERGETIC USE OF ACTIVE MICROWAVE AND OPTICAL DATA

The aim is to use Synthetic Aperture Radar (SAR) in synergy with optical data to analyse severe weather systems, e.g., Tropical Cyclones, North Atlantic Storms and Polar Lows. Radar reflectivity over the ocean depends on the roughness of the sea surface and thus mainly on the wind field. Additionally the backscatter of the radar signal is influenced by the size of hydrometeors, e.g. rain drops or snow in the atmosphere and their precipitation rate. The Medium Resolution Imaging Spectrometer (MERIS) instrument that is flying on board the ENVISAT satellite or the Moderate Resolution Imaging Spectroradiometer (MODIS) that is flying on the AUQA/TERRA satellites provide an image over a specific region every three respectively every two days. These measurements are useful to estimate cloud parameters. Synthetic Aperture Radars (SARs) are capable of imaging synoptic wind fields near the sea surface with a coverage of up to 500 km x 500 km and a resolution on a subkilometer scale. For retrieving wind speeds from SAR data a model function (CMOD 4 and 5) [1] relating the Normalized Radar Cross Section (NRCS) of the ocean surface to the local nearsurface wind speed, wind direction versus antenna look direction and incidence angle is used. As examples severe storm system are investigated. By synergetic use of ENVISAT ASAR, MERIS and MODIS data the relationship between cloud patterns with different cloud parameters, e.g. cloud top pressure, cloud optical thickness and NRCS is investigated. A high correlation between convective clouds and NRCS was detected. Downburst produced by a convective downdraft over a region of less than 1 to 10 km horizontal extension and their interactions with the sea surface are observed in SAR images. The variation of the backscattering coefficient due to rain is considered, too.
The psychometric property of Rosenberg Self-esteem Scale in Thai youth

Objectives To investigate the psychometric property of the Rosenberg Self-esteem Scale (RSES). Materials and method The data from psychosocial status of members in “To be number one” project in 2009 were analyzed. There were 2661 cases consisted of adolescents attending the Friend’s corner, non participants and juvenile delinquents living in Bangkok and 11 provinces. Items were analyzed by using exploratory structural equation modeling (ESEM) confirmatory factor analysis (CFA) in 20% of cases selected by random sampling and then confirmed by confirmatory factor analysis in the other group by using the Mplus program. The goodness of fit indices were Chi-square index, RMSEA, CFI and TLI. Descriptive statistics were used. Pearson’s correlations were using to analyze the concurrent validity among the mean scores of RSES, desired behavior questionnaire, life fulfillment and Hospital Anxiety Depression (HAD) scales. Results ESEM analysis was done in 551 cases. There were 8 items retained (RSES_8) and contained 2 domains i.e. proud and unproud. CFA (in 2110 cases) showed the goodness of fit indices at good level and demonstrated configure invariance among gender. The internal consistency for the total scale and each domain (proud and unproud) by using composite reliability tests were 0.87, 0.70 and 0.84 respectively. Pearson’s r correlations between RSES_8 - desired behavior, RSES_8 - life fulfillment scores and RSES_8 – HAD were 0.47, 0.27, -0.47 respectively. Conclusion The 8 item- RSES showed the good validity among teenagers, young adults and juvenile delinquents. The whole scale or each domain can be used as an outcome measurement for health related self-esteem activities.
LOT‐SIZING RULE AND FREEZING THE MASTER PRODUCTION SCHEDULE UNDER CAPACITY CONSTRAINT AND DETERMINISTIC DEMAND

This paper investigates the performance impact of lot‐sizing rule (LSR) selection and freezing of the master production schedule (MPS) in multi‐item single‐level systems with a single resource constraint under deterministic demand. The results of the study show that the selection of LSRS and the parameters for freezing the MPS have a significant impact on total cost, schedule instability, and the service level of the system. However, the selection of LSRS does not significantly influence the selection of the MPS freezing parameters. The basic conclusions concerning the performance of the freezing parameters under a capacity constraint agreed with previous research findings without consideration of capacity constraints.
NAD(P)H: Quinone Oxidoreductase 1 Deficiency Conjoint with Marginal Vitamin C Deficiency Causes Cigarette Smoke Induced Myelodysplastic Syndromes

Background The etiology of myelodysplastic syndromes (MDS) is largely unknown. Exposure to cigarette smoke (CS) is reported to be associated with MDS risk. There is inconsistent evidence that deficiency of NAD(P)H-quinone: oxidoreductase 1 (NQO1) increases the risk of MDS. Earlier we had shown that CS induces toxicity only in marginal vitamin C-deficient guinea pigs but not in vitamin C-sufficient ones. We therefore considered that NQO1 deficiency along with marginal vitamin C deficiency might produce MDS in CS-exposed guinea pigs. Methodology and Principal Findings Here we show that CS exposure for 21 days produces MDS in guinea pigs having deficiency of NQO1 (fed 3 mg dicoumarol/day) conjoint with marginal vitamin C deficiency (fed 0.5 mg vitamin C/day). As evidenced by morphology, histology and cytogenetics, MDS produced in the guinea pigs falls in the category of refractory cytopenia with unilineage dysplasia (RCUD): refractory anemia; refractory thrombocytopenia that is associated with ring sideroblasts, micromegakaryocytes, myeloid hyperplasia and aneuploidy. MDS is accompanied by increased CD34(+) cells and oxidative stress as shown by the formation of protein carbonyls and 8-oxodeoxyguanosine. Apoptosis precedes MDS but disappears later with marked decrease in the p53 protein. MDS produced in the guinea pigs are irreversible. MDS and all the aforesaid pathophysiological events do not occur in vitamin C-sufficient guinea pigs. However, after the onset of MDS vitamin C becomes ineffective. Conclusions and Significance CS exposure causes MDS in guinea pigs having deficiency of NQO1 conjoint with marginal vitamin C deficiency. The syndromes are not produced in singular deficiency of NQO1 or marginal vitamin C deficiency. Our results suggest that human smokers having NQO1 deficiency combined with marginal vitamin C deficiency are likely to be at high risk for developing MDS and that intake of a moderately large dose of vitamin C would prevent MDS.
Leverage Ratio Requirement, Credit Allocation and Bank Stability

We study the effects on credit allocation and bank stability of introducing a leverage ratio requirement (LRR) on top of risk-based capital requirements, as in Basel III. For the current 3% LRR, both low-risk and high-risk loan rates and volumes remain essentially unchanged, because banks previously specializing in low-risk lending can adapt by granting both low-risk and high-risk loans. For sufficiently high LRRs, low-risk lending rates would significantly increase and high-risk lending rates would fall. In the presence of severe ‘model risk’ concerning low-risk loans, as happened in the subprime crisis, the current 3% LRR might even reduce bank stability, counter to regulatory intentions. This is because the allocational effect caused by the LRR, which makes bank loan portfolios more alike, may turn beneficial risk spreading into harmful risk contamination. For higher levels of LRR, however, bank stability is likely to be improved even in the presence of model risk.