Miracle-dz/UniFAR-FTUs huggingface dataset:
Medial temporal lobe-dependent repetition suppression and enhancement due to implicit vs. explicit processing of individual repeated search displays

Using visual search, functional magnetic resonance imaging (fMRI) and patient studies have demonstrated that medial temporal lobe (MTL) structures differentiate repeated from novel displays—even when observers are unaware of display repetitions. This suggests a role for MTL in both explicit and, importantly, implicit learning of repeated sensory information (Greene et al., 2007). However, recent behavioral studies suggest, by examining visual search and recognition performance concurrently, that observers have explicit knowledge of at least some of the repeated displays (Geyer et al., 2010). The aim of the present fMRI study was thus to contribute new evidence regarding the contribution of MTL structures to explicit vs. implicit learning in visual search. It was found that MTL activation was increased for explicit and, respectively, decreased for implicit relative to baseline displays. These activation differences were most pronounced in left anterior parahippocampal cortex (aPHC), especially when observers were highly trained on the repeated displays. The data are taken to suggest that explicit and implicit memory processes are linked within MTL structures, but expressed via functionally separable mechanisms (repetition-enhancement vs. -suppression). They further show that repetition effects in visual search would have to be investigated at the display level.
The consequences of past agricultural outputs on the interacting nutrition and health of autarkic peasants

In rural areas of LDCs, because of the existence of market imperfections, health and nutrition status may depend on the levels of specific agricultural productions and not only on the income level. However, these specific impacts have never been studied. We estimate, from a sequential technological model incorporating interactions between health and nutrition, changes in health and nutrition status of autarkic agricultural households in Rwanda which are due to variations in socio-demographic characteristics and in levels of specific crops. The model is supported by several tests. The estimations take into account cluster-fixed effects and the sampling scheme. The food outputs have generally beneficial influences on health and nutrition, while the traditional beers output has a negative impact. A policy based on incentives for substituting cultures may be particularly favourable to the health and nutrition of peasants.
Cosmic Microwave Background-Weak Lensing Correlation: Analytical and Numerical Study of Nonlinearity and Implications for Dark Energy

Evolution of density fluctuations yields secondary anisotropies in the cosmic microwave background (CMB), which are correlated with the same density fluctuations that can be measured by weak lensing (WL) surveys. We study the CMB-WL correlation induced by the integrated Sachs-Wolfe (ISW) effect and its nonlinear extension, the Rees-Sciama (RS) effect, using analytical models as well as N-body simulations. We show that an analytical model based on the time derivative of matter power spectrum agrees with simulations. All-sky cosmic-variance-limited CMB and WL surveys allow us to measure the correlation from the nonlinear RS effect with high significance (50 σ) for lmax = 104, whereas forthcoming missions such as Planck and LSST are expected to yield 1.5 σ detections, on the assumption of that the point-source contributions are negligible. We find that the CMB-WL correlation has a characteristic scale which is sensitive to the nature of dark energy.
Applying the concept of State of Good Repair to the management of ecological infrastructure

At any time, the condition of ecological infrastructure is related to the availability of funds to support operational management programmes. Environmental management outcomes are therefore often coupled to general economic conditions. When general economic conditions are favourable, investment in environmental management is often greater. This implies that environmental management frameworks need to be able to cope with the waxing and waning of economic conditions while still delivering acceptable environmental management and service delivery outcomes. At the onset of budget cuts, environmental managers therefore need effective ways of assessing the near and far future trade-offs of curtailing particular programmes in a defensible and internally consistent manner. Operators of large civil infrastructure assets face the same problem. In response, the asset management community has developed the State of Good Repair approach. The objective of the preliminary consideration presented here was to determine whether this engineering management approach has any merit in environmental management.
Unscented Kalman filter for vehicle state estimation

Vehicle dynamics control (VDC) systems require information about system variables, which cannot be directly measured, e.g. the wheel slip or the vehicle side-slip angle. This paper presents a new concept for the vehicle state estimation under the assumption that the vehicle is equipped with the standard VDC sensors. It is proposed to utilise an unscented Kalman filter for estimation purposes, since it is based on a numerically efficient nonlinear stochastic estimation technique. A planar two-track model is combined with the empiric Magic Formula in order to describe the vehicle and tyre behaviour. Moreover, an advanced vertical tyre load calculation method is developed that additionally considers the vertical tyre stiffness and increases the estimation accuracy. Experimental tests show good accuracy and robustness of the designed vehicle state estimation concept.
Comparing the performance of FAM19A4 methylation analysis, cytology and HPV16/18 genotyping for the detection of cervical (pre)cancer in high‐risk HPV‐positive women of a gynecologic outpatient population (COMETH study)

Recently, DNA methylation analysis of FAM19A4 in cervical scrapes has been shown to adequately detect high‐grade cervical intraepithelial neoplasia and cervical cancer (≥CIN3) in high‐risk HPV (hrHPV)‐positive women. Here, we compared the clinical performance of FAM19A4 methylation analysis to cytology and HPV16/18 genotyping, separately and in combination, for ≥CIN3 detection in hrHPV‐positive women participating in a prospective observational multi‐center cohort study. The study population comprised hrHPV‐positive women aged 18–66 years, visiting a gynecological outpatient clinic. From these women, cervical scrapes and colposcopy‐directed biopsies (for histological confirmation) were obtained. Cervical scrapes were analyzed for FAM19A4 gene promoter methylation, cytology and HPV16/18 genotyping. Methylation analysis was performed by quantitative methylation‐specific PCR (qMSP). Sensitivities and specificities for ≥CIN3 were compared between tests. Stratified analyses were performed for variables that potentially influence marker performance. Of all 508 hrHPV‐positive women, the sensitivities for ≥CIN3 of cytology, FAM19A4 methylation analysis, and cytology combined with HPV16/18 genotyping were 85.6, 75.6 and 92.2%, respectively, with corresponding specificities of 49.8, 71.1 and 29.4%, respectively. Both sensitivity and specificity of FAM19A4 methylation analysis were associated with age (p ≤ 0.001 each). In women ≥30 years (n = 287), ≥CIN3 sensitivity of FAM19A4 methylation analysis was 88.3% (95%CI: 80.2–96.5) which was noninferior to that of cytology [85.5% (95%CI: 76.0–94.0)], at a significantly higher specificity [62.1% (95%CI: 55.8–68.4) compared to 47.6% (95%CI: 41.1–54.1)]. In conclusion, among hrHPV‐positive women from an outpatient population aged ≥30 years, methylation analysis of FAM19A4 is an attractive marker for the identification of women with ≥CIN3.
คุณภาพของสื่อไทย: ข้อเสนอเชิงประจักษ์ว่าด้วย 'วาทกรรมไข่นายก' (Quality of Thai Media: Empirical Proposals on 'Prime Minister's Eggs Discourse')

การวจยครงนจงมวตถประสงคเพอชใหเหนถง “คณภาพ” อกปญหาของสอ ทมกไมไดรบการยอมรบและกลาวถง นอกเหนอจก “เสรภาพ” ผานการพสจน “วาทกรรมไขนายก” ทสอสรางขน และผลตซำมาอยางตอเนองยาวนานในสงคมไทยจวบจนปจจบน เพออธบายความสามารถในการบรหารงานทางดานเศรษฐกจของรฐบาลผานราคาไขทสงขนหรอลดลง ดวยวธวทยาเชงปรมาณขนสง โดยนำขอมลอนกรมเวลาของราคาไข อตราคาจางขนตำ และดชนราคาผบรโภคพนฐาน มาวเคราะหดวยสถตขนสง การวเคราะหถดถอย และการทดสอบความสมพนธเชงดลยภาพในระยะยาวดวยวธของโจฮานเซน. ผลการวจยเมอวเคราะหดวยการวเคราะหถดถอยพบวา ทง 2 ค ไดแก ราคาไขกบอตราคาจางขนตำ และราคาไขกบดชนราคาผบรโภคพนฐาน ลวนมความสมพนธในทศทางเดยวกน ทระดบนยสำคญทางสถต . 01 แตเมอวเคราะหดวยการทดสอบความสมพนธเชงดลยภาพในระยะยาวดวยวธของโจฮานเซน กลบพบวาทง 2 ค ตางไมมความสมพนธกน ทงทระดบนยสำคญทางสถต . 05 และ . 01 ชใหเหนวาการนำราคาไขมาอธบายความสามารถในการบรหารงานทางดานเศรษฐกจของรฐบาลนน ถอเปนความบกพรองอยางยงของสอ ซงแททจรง อาจเปนปญหาทตองการการปฏรป เรงดวนเสยยงกวาเรองเสรภาพเสยอก. This study aims to point out about the quality of media, another flaw of media which has neither been accepted nor discussed while freedom of media has been requested, through the discourse on “prime minister’s eggs” which the media has created and reproduced for the longest history of the Thai society to explain the government’s capability in economic administration when the price of eggs increased or decreased. Employing an advanced quantitative methodology, using time series data on egg prices, minimum wages, and core consumer price indices, in the application of advanced statistical analysis, regression analysis, and Johansen cointegration test.The results from regression analysis shows that each of the two pairs - egg prices and minimum wages, and egg prices and core consumer price indices – indicate positive correlations with the statistic significance at . 01 level. However, when it comes to Johansen cointegration test, the findings surprisingly indicate that they do not possess any relation either at . 05 or . 01 level, which implies that bringing the issue of egg prices to justify the government’s economic administration proves the media’s complete carelessness, which in turn is likely a concrete problem with regard to media reform more urgent than requiring “liberty. ”
MUTUAL AUTHENTICATION USING IMAGE PROCESSING AND VISUAL CRYPTOGRAPHY PROTOCOL FOR PATIENT DATABASE

Online Patient database is a particular type of service rendered by a chain of intercommunicated hospitals. Medical practitioners and clients are able to access their records or look into status of their diagnosis from any of the other or branch hospitals. The principle concern in online patient database is the authenticity of both the doctor and the client. Due to ineluctable intruding of the database on the Internet, it is very hard to rely on any kind of data on the Internet. The propounded approach of ours, based on Image processing technique and Visual Cryptography, the authentication problem is resolved. This particular paper proffers a technique of processing the Endoscopic Ulcer images based on Grow-cut and then divides it into Secret shares based on Random Grid Visual cryptographic Techniques. The total number of shares to be created depends on the strategy selected by the medical practitioner. If two shares are prepared, one of the shares is reposited in the Global Hospital Server, and the other is retained by the client. The client has to produce his/her secret share during the consultation. Client's share is then stacked with the Hospital Server share to obtain the original Endoscopic image. This method of correlation aids in concluding the decision based on espousal or denial of the output and hence confirms the client.
The rise of 'class apartheid' in accessing secondary schools in Sandton, Gauteng

Historically, education in South Africa was divided along strict racial lines. Post-apartheid South African society, however, is becoming increasingly stratified along 'class' lines, i.e. income and socio-economic status, more than race, strongly influence access to educational resources. This empirical study investigated the extent to which socio-economic status influences access to public secondary schools in Sandton, an affluent, former 'white' area of Johannesburg. The authors sought to establish (1) the extent of racial desegregation, (2) the socio-economic profile of learners, (3) the role of geographic catchment areas and (4) the impact of school-related costs. They found that the schools have desegregated. However, the class profile remains the same. Geographic catchment zones, superimposed upon embedded residential class patterns, do partly influence the socio-economic profile of learners. However, school fees and transport costs seem to play a more significant role in determining learner profiles. No formalised income discrimination was identified. However, educational laws and policies, alongside income disparities and the managerial autonomy of schools to determine catchment zones and fees, may be operating to exclude poor and working-class learners.
CRUSADE: hardware/software co-synthesis of dynamically reconfigurable heterogeneous real-time distributed embedded systems

Dynamically reconfigurable embedded systems offer potential for higher performance as well as adaptability to changing system requirements at low cost. Such systems employ run-time reconfigurable hardware components such as field programmable gate arrays (FPGAs) and complex programmable logic devices (CPLDs). In this paper, we address the problem of hardware/ software co-synthesis of dynamically reconfigurable embedded systems. Our co-synthesis system, CRUSADE, takes as an input embedded system specifications in terms periodic acyclic task graphs with rate constraints and generates dynamically reconfigurable heterogeneous distributed hardware and software architecture meeting real-time constraints while minimizing the system hardware cost. We identify the group of tasks for dynamic reconfiguration of programmable devices and synthesize an efficient programming interface for reconfiguring reprogrammable devices. Real-time systems require that the execution time for tasks mapped to reprogrammable devices are managed effectively such that real-time deadlines are not exceeded. To address this, we propose a technique to effectively manage delay in reconfigurable devices. Our approach guarantees that the real-time task deadlines are always met. To the best of our knowledge, this is the first co-synthesis algorithm which targets dynamically reconfigurable embedded systems. We also show how our co-synthesis algorithm can be easily extended to consider fault-detection and fault-tolerance. Application of CRUSADE and its fault tolerance extension, CRUSADE-FT to several real-life large examples (up to 7400 tasks) from mobile communication network base station, video distribution router, a multi-media system, and synchronous optical network (SONET) and asynchronous transfer mode (ATM) based telecom systems shows that up to 56% system cost savings can be realized.
dentification of five gelatins by ultra performance liquid hromatography / time-of-flight mass spectrometry ( UPLC / Q-TOF-MS ) using rincipal component analysis

An ultra-performance liquid chromatography-quadrupole-time of flight mass spectrometry (UPLC/QTOF-MS) method coupled with a principal component analysis (PCA) was developed and applied toward identifying donkey-hide gelatin, bovine-hide gelatin, pig-hide gelatin, tortoise shell glue, and deerhorn glue. The UPLC-MS data of the trypsin digested samples were subjected to principal component analysis (PCA) in order to classify these five gelatins. Additionally, marker peptides given by the loadings plot of eywords: PLC/Q-TOF-MS elatin olypeptides CA PCA were identified based on a comparison of recorded LC–MS data with a previously reported database of the corresponding gelatin variants. The results from this study indicate that the proposed method is reliable, and it has been successfully applied to the identification of variants of gelatins commonly used in Traditional Chinese Medicine (TCM). © 2011 Elsevier B.V. All rights reserved.
Cohomology of Moduli Spaces

Some recent progress towards understanding the cohomology of moduli spaces of curves is described. Madsen and Weiss have announced a proof of a generalisation of Mumford's conjecture on the stable cohomology of these moduli spaces Mg, and other contributors have made advances related to Faber's conjectures concerning the tautological ring of Mg.
Interventions to modify sexual risk behaviours for preventing HIV in homeless youth.

BACKGROUND Homeless youth are at high risk for HIV infection as a consequence of risky sexual behaviour. Interventions for homeless youth are challenging. Assessment of the effectiveness of interventions to modify sexual risk behaviours for preventing HIV in homeless youth is needed. OBJECTIVES To evaluate and summarize the effectiveness of interventions for modifying sexual risk behaviours and preventing transmission of HIV among homeless youth. SEARCH STRATEGY We searched electronic databases (CENTRAL, MEDLINE, EMBASE, AIDSearch, Gateway, PsycInfo, LILACS), reference lists of eligible articles, international health agency publication lists, and clinical trial registries. The search was updated January 2010. We contacted authors of published reports and other key role players. SELECTION CRITERIA Randomised studies of interventions to modify sexual risk behaviour (biological, self-reporting of sexual-risk behaviour or health-seeking behaviour) in homeless youth (12-24 years). DATA COLLECTION AND ANALYSIS Data from eligible studies were extracted by two reviewers. We assessed risk of bias per the Cochrane Collaborations tool. None of the eligible studies reported any primary biological outcomes for this review. Reports of self-reporting sexual risk behaviour outcomes varied across studies precluding calculation of summary measures of effect; we present the outcomes descriptively for each study. We contacted authors for missing or ambiguous data. MAIN RESULTS We identified three eligible studies after screening a total of 255 unique records. All three were performed in the United States of America and recruited substance-abusing male and female adolescents (total N=615) through homeless shelters into randomised controlled trials of independent and non-overlapping behavioural interventions. The three trials differed in theoretical background, delivery method, dosage (number of sessions,) content and outcome assessments. Overall, the variability in delivery and outcomes precluded estimation of summary of effect measures. We assessed the risk of bias to be high for each of the studies. Whilst some effect of the interventions on outcome measures were reported, heterogeneity and lack of robustness in these studies necessitate caution in interpreting the effectiveness of these interventions. AUTHORS' CONCLUSIONS The body of evidence does not permit conclusions on the impact of interventions to modify sexual risk behaviour in homeless youth; more research is required. While the psychosocial and contextual factors that fuel sexual risk behaviours among homeless youth challenge stringent methodologies of RCT's, novel ways for program delivery and trial retention are in need of development. Future trials should comply with rigorous methodology in design, delivery, outcome measurement and reporting.
An Audience-Centric Approach for Museums Sustainability

The main purpose of this study is to propose a visitor centric perspective that can support museums towards sustainability. The main premise of this study is due to a concept of economic and social sustainability of museums, defined as the possession of sufficient resources to maintain the existence of an organization, and achieve their goals in the future, ensuring a certain flow of visitors. A great number of museums are characterized by a low number of visits; therefore, in order to become sustainable, museums should pay attention to audience and its internal diversity. In this way, a cultural site can plan tailored strategies to increase the number of visits and re-visits and to achieve community support. For this reason it is necessary to understand the cultural needs of visitors, acquiring appropriate monitoring tools, such as qualitative and quantitative ones. Generally, quantitative analyses are more reliable and complete, even if they require a considerable number of observations for the reliability of the results. Moreover, qualitative analysis provides more in depth information, even if their data do not allow us to make generalizations. The qualitative and quantitative methods for the detection of satisfaction are usually used separately, but their integration may bring significant added value in terms of the wealth of information. This study follows the analysis of the potential of the integration of qualitative and quantitative analysis techniques customized with respect to different types of targets. The results of the experimentation performed on ethnographic museums shows a consistency of the results obtained by the two different tools that increase the capacity information of survey instruments.
BayesPI-BAR: a new biophysical model for characterization of regulatory sequence variations

Sequence variations in regulatory DNA regions are known to cause functionally important consequences for gene expression. DNA sequence variations may have an essential role in determining phenotypes and may be linked to disease; however, their identification through analysis of massive genome-wide sequencing data is a great challenge. In this work, a new computational pipeline, a Bayesian method for protein–DNA interaction with binding affinity ranking (BayesPI-BAR), is proposed for quantifying the effect of sequence variations on protein binding. BayesPI-BAR uses biophysical modeling of protein–DNA interactions to predict single nucleotide polymorphisms (SNPs) that cause significant changes in the binding affinity of a regulatory region for transcription factors (TFs). The method includes two new parameters (TF chemical potentials or protein concentrations and direct TF binding targets) that are neglected by previous methods. The new method is verified on 67 known human regulatory SNPs, of which 47 (70%) have predicted true TFs ranked in the top 10. Importantly, the performance of BayesPI-BAR, which uses principal component analysis to integrate multiple predictions from various TF chemical potentials, is found to be better than that of existing programs, such as sTRAP and is-rSNP, when evaluated on the same SNPs. BayesPI-BAR is a publicly available tool and is able to carry out parallelized computation, which helps to investigate a large number of TFs or SNPs and to detect disease-associated regulatory sequence variations in the sea of genome-wide noncoding regions.
A New Algorithm for Mining Fuzzy Association Rules in the Large Databases Based on Ontology

Association rule mining is an active data mining research area. Recent years have witnessed many efforts on discovering fuzzy associations. The key strength of fuzzy association rule mining is its completeness. This strength, however, comes with a major drawback to handle large datasets. It often produces a huge number of candidate itemsets. The huge number of candidate itemsets makes it ineffective for a data mining system to analyze them. To overcome this problem in this study, fuzzy association rule mining system is driven by domain ontology. It describes the use of a concept hierarchy for improving the results of fuzzy association rule mining. Our ontology-based data mining algorithm makes the rules more visual, more interesting and more understandable. At last the paper, the efficiency and advantages of this algorithm has been approved by experimental results