Miracle-dz/UniFAR-FTUs huggingface dataset:
Fisher Vector Faces in the Wild

Several recent papers on automatic face verification have significantly raised the performance bar by developing novel, specialised representations that outperform standard features such as SIFT for this problem. This paper makes two contributions: first, and somewhat surprisingly, we show that Fisher vectors on densely sampled SIFT features, i.e. an off-the-shelf object recognition representation, are capable of achieving state-of-the-art face verification performance on the challenging “Labeled Faces in the Wild” benchmark; second, since Fisher vectors are very high dimensional, we show that a compact descriptor can be learnt from them using discriminative metric learning. This compact descriptor has a better recognition accuracy and is very well suited to large scale identification tasks.
Using Social Network Analysis to Analyze Relationships Among IS Journals

Social network analysis (SNA) offers a richer and more objective way of examining individual journal influence and relationships among journals than studies based on individual perceptions, since it avoids personal biases. This article demonstrates how SNA can be used to study the nature of the IS discipline, by presenting results from an exploratory SNA of 125 previously ranked journals from IS and allied disciplines. While many of the most prominent journals in the network are still associated with IS’s foundational disciplines, we identify several IS journals that play important roles in disseminating information throughout different subcomponents of the network. We also identify related groups of journals based not only on patterns of information flow, but also on similarity in citation patterns. This enables us to identify the core set of journals that is important for “pure IS” research, as well as other subsets of journals that are important for specialty areas of interest. Overall, results indicate that the IS discipline is still somewhat fragmented and is still a net receiver, as opposed to a net provider, of information from allied disciplines. Like other forms of analysis, SNA is not entirely free from biases. However, these biases can be systematically researched in order to develop an improved, consistent tool with which to examine the IS field via citations among member journals. Thus, while many challenges remain in applying SNA techniques to the study of IS journals, the opportunity to track trends in the discipline over time, with a larger basket of journals, suggests a number of valuable future applications of SNA for understanding the IS publication system.
Neoliberalism and the alcohol industry in Ireland

This paper sheds light on the development of the Irish alcohol industry and its regulation since the 1980s by situating it within the politico-economic context of neoliberalism at the national, European and global scales. First, a conceptualisation of neoliberalism is presented and the alcohol industry is related to it. Second, the connections between neoliberalism, the drinks industry and alcohol legislation are explained and illustrated at the three spatial scales mentioned above, emphasising the following components of neoliberalism: deregulation, liberalisation, commodification, free trade agreements and transnational capital flows. The paper provides a theoretical template for future research.
Exploring Ecosystems and Health by Shifting to a Regional Focus: Perspectives from the Oceania EcoHealth Chapter

This article highlights contributions that can be made to the public health field by incorporating “ecosystem approaches to health” to tackle future environmental and health challenges at a regional level. This qualitative research reviews attitudes and understandings of the relationship between public health and the environment and the priorities, aspirations and challenges of a newly established group (the Oceania EcoHealth Chapter) who are attempting to promote these principles. Ten semi-structured interviews with Oceania EcoHealth Chapter members highlighted the important role such groups can play in informing organisations working in the Oceania region to improve both public health and environmental outcomes simultaneously. Participants of this study emphasise the need to elevate Indigenous knowledge in Oceania and the role regional groups play in this regard. They also emphasis that regional advocacy and ecosystem approaches to health could bypass silos in knowledge and disciplinary divides, with groups like the Oceania EcoHealth Chapter acting as a mechanism for knowledge exchange, engagement, and action at a regional level with its ability to bridge the gap between environmental stewardship and public health.
Implications of Systems Dynamic Models and Control Theory for Environmental Approaches to the Prevention of Alcohol- and Other Drug Use-Related Problems

The approach described in this article is premised on the idea that drug and alcohol use-related problems are heterogeneously distributed with respect to population and geography, and therefore, are essentially local problems. More specifically, it is argued that viewing a local community as an interacting set of systems that support or buffer the occurrence of specific substance misuse outcomes, opens up to research two important prospects. The first of these involves creating adequate systems models that can capture the primary community structures and relationships that support public health problems such as alcohol and drug misuse and related outcomes. The second entails rationally testing control strategies that have the potential to moderate or reduce these problems. Understanding and controlling complex dynamic systems models nowadays pervades all scientific disciplines, and it is to research in areas such as biology, ecology, engineering, computer sciences, and mathematics that researchers in the field of addictions must turn to in order to better study the complexity that confronts them as they try to understand and prevent problems resulting from alcohol and drug use and misuse. Here we set out what such a systems-based understanding of alcohol- and drug use-related problems will require and discuss its implications for public policy and prevention programming.
The Effect of Using Manipulatives on the Mathematical Achievement of the First Grade Students

This study aimed at examining the effect of using manipulatives in the mathematical achievement of the first graders at UNRWA schools in Jerash area in Jordan. The sample of the study consisted of 155 students representing four sections, who were divided into two groups: An experimental group which was taught “numbers from 0-9” subjects using manipulatives, and a control group which was taught by the traditional method. After the completion of the study application, an achievement test was applied and a 2-way ANOVA analysis was used to test the hypotheses of the study. The study results revealed that there were statistically significant differences between the two groups in favor of the experimental group, which was taught by using manipulatives; whereas there were no significant differences between students’ marks due to sex or the interaction between group and sex.
Antineutrophil cytoplasm autoantibodies in patients with tuberculosis are directed against bactericidal/permeability increasing protein and are detected after treatment initiation.

OBJECTIVES To determine the prevalence of antineutrophil cytoplasm autoantibodies (ANCA) and its antigenic specificities in sera of patients with pulmonary tuberculosis (Tb) before and after treatment. PATIENTS AND METHODS Sixty-eight patients with culture-proven Tb were studied for the presence of ANCA, both by indirect immunofluorescence (IIF) and ELISA against proteinase-3 (PR3), myeloperoxidase (MPO) and bactericidal/permeability increasing protein (BPI). They were sought before treatment and in 52 of them also after therapy for the infection. High sensitivity C-reactive protein (CRP) was also measured at both times. RESULTS ANCA by IIF were found in 3/68 (4.4%) sera prior to treatment, one C-ANCA and two P-ANCA, all recognizing BPI. After treatment, this increased to 15/52 (28.8%), 3 C-ANCA and 12 P-ANCA, the majority directed against BPI (11/15, 73%). BPI-ANCA were positive in 6/68 (8.8%) and 15/52 (28.8%) before and after Tb after treatment initiation (p=0.003). PR3-ANCA and MPO-ANCA were negative in all Tb sera. A positive ANCA test correlated with CRP as inflammatory marker (p=0.001). CONCLUSIONS The prevalence of ANCA in culture positive Tb patients is modified by Tb chemotherapy. BPI is the main target antigen for ANCA in tuberculosis and BPI-ANCA increase after treatment.
Gene Regulation of Catecholamine Biosynthetic Enzymes by Nitric Oxide in PC12 Cells

Nitric oxide (NO) regulates a wide range of physiological processes. Recent studies show that NO can regulate the release of catecholamines (CA) from the adrenal medulla. In the current study, the PC12 cell line was used to examine the effect of NO on the regulation of the CA biosynthetic enzymes: tyrosine hydroxylase (TH), dopamine-β-hydroxylase (DBH) and phenylethanolamine Nmethyltransferase (PNMT). Treatment of PC12 cells with the NO donor, sodium nitroprusside (SNP) for 6 hours significantly increased TH, DBH and PNMT mRNA levels. In addition, NO potentiates the regulation of gene expression of all three CA biosynthetic enzymes by glucocorticoids and cholinergic agonists. The signaling pathways involved in NO regulation of CA biosynthetic enzymes were investigated with the use of specific kinase activators and inhibitors, with results supporting a contributing role of PKA, PKC and PKG in SNP-mediated induction for all three CA genes (p
The influence of courtroom questioning style on actual and perceived eyewitness confidence and accuracy

Purpose. Little research has been conducted on the effects of courtroom examination/questioning styles on witness confidence and accuracy. Two studies were therefore conducted, one investigating the effects of examination style on witness confidence and accuracy, the other investigating observers/jurors perceptions of witness confidence and accuracy. Method. In Study 1, after observing a video event, 60 witnesses were individually interviewed about the event according to one of three conditions: (1) simple questioning style, (2) lawyerese questioning style (containing leading and suppositional phrases), and (3) lawyerese with negative feedback style. In study 2, 60 observers/ jurors observed a good and a poor witness under examination by one of the three questioning styles. Measures of the perceived fairness of the examination were also taken in study 2. Results. In the main, significant results were found only for question items classed as difficult to remember. The lawyerese style appeared to have an adverse affect on confidence-accuracy relationships. Adding subtle negative feedback reduced the problem, but at the price of reduced overall accuracy. Observers (jurors) also seemed to be most affected by observing the negative feedback style; judging the witness overall to be less accurate. An unexpected result was that, regardless of questioning style, presenting the testimony of the least confident witness first appeared to spuriously boost confidence and thereby perceived accuracy, in that witness's testimony. No significant effects were found for perceived fairness. Conclusions. In general, these results lend some support to those who have asserted that the lawyerese style of questioning may be unwise.
On Evaluation of Outlier Rankings and Outlier Scores

Outlier detection research is currently focusing on the development of new methods and on improving the computation time for these methods. Evaluation however is rather heuristic, often considering just precision in the top k results or using the area under the ROC curve. These evaluation procedures do not allow for assessment of similarity between methods. Judging the similarity of or correlation between two rankings of outlier scores is an important question in itself but it is also an essential step towards meaningfully building outlier detection ensembles, where this aspect has been completely ignored so far. In this study, our generalized view of evaluation methods allows both to evaluate the performance of existing methods as well as to compare different methods w.r. t. their detection performance. Our new evaluation framework takes into consideration the class imbalance problem and offers new insights on similarity and redundancy of existing outlier detection methods. As a result, the design of effective ensemble methods for outlier detection is considerably enhanced.
Subanesthetic isoflurane relieves zymosan-induced neutrophil inflammatory response by targeting NMDA glutamate receptor and Toll-like receptor 2 signaling

Neutrophil release of NO/ONOO− induces endothelial cell barrier dysfunction in inflammatory acute lung injury (ALI). Previous studies using zymosan-triggered inflammation and ALI model revealed that zymosan promotes inducible NO synthase (iNOS) expression in neutrophils, and that isoflurane inhibits zymosan-induced oxidative stress and iNOS biosynthesis. However, the underlying mechanisms remain largely unknown. We found here that in zymosan-primed neutrophils, iNOS is transcriptionally activated by NF-κB, whose nuclear translocation is triggered by excessive reactive oxygen species (ROS) and consequently activated p38 MAPK. ROS production is attributed to zymosan-initiated Toll-like receptor 2 (TLR2) signaling, in which the adaptor MyD88 recruits and activates c-Src, and c-Src activates NADPH oxidase to generate ROS. Subanesthetic isoflurane counteracts the aforementioned zymosan-induced signaling by targeting N-methyl-D-aspartic acid (NMDA) glutamate receptor and thereby suppressing calcium influx and c-Src activation. Whereas iNOS accelerates NO/ONOO− production in neutrophils which eventually promote protein leak from pulmonary microvascular endothelial cells (PMVEC), isoflurane reduced NO/ONOO− release from zymosan-treated neutrophils, and thus relieves trans- PMVEC protein leak. This study provides novel insights into the roles of neutrophils and the underlying mechanisms in zymosan-induced ALI, and has implications for the therapeutic potential of subanesthetic isoflurane in attenuating inflammatory responses causing lung endothelial cell damage.
Differential Induction of Complement Fragment C5a and Inflammatory Cytokines during Intramammary Infections withEscherichia coli and Staphylococcus aureus

ABSTRACT The prompt recruitment of neutrophils to the site of infection is essential for the defense of the bovine mammary gland against invading pathogens and is determinant for the outcome of the infection.Escherichia coli is known to induce clinical mastitis, characterized by an intense neutrophil recruitment leading to the eradication of the bacteria, whereas Staphylococcus aureusinduces subclinical mastitis accompanied by a moderate neutrophil recruitment and the establishment of chronic mastitis. To elicit the neutrophil recruitment into the udder, inflammatory mediators must be produced after recognition of the invading pathogen. To our knowledge, those mediators have never been studied during S. aureusmastitis, although understanding of the neutrophil recruitment mechanisms could allow a better understanding of the differences in the pathogeneses elicited by E. coli and S. aureus. Therefore, we studied, at several time points, the accumulation of neutrophils and the presence of the chemoattractant complement fragment C5a and of the cytokines interleukin-1β (IL-1β), tumor necrosis factor alpha, and IL-8 in milk after inoculation of E. colior S. aureus in lactating bovine udders. The low levels of C5a and the absence of cytokines in milk from S. aureus-infected cows, compared to the high levels found in milk from E. coli-infected animals, mirror the differences in the severities of the two inflammatory reactions. The cytokine deficit in milk after S. aureus inoculation in the lactating bovine mammary gland could contribute to the establishment of chronic mastitis. This result could help in the design of preventive or curative strategies against chronic mastitis.
Smoking Rain Clouds over the Amazon

Heavy smoke from forest fires in the Amazon was observed to reduce cloud droplet size and so delay the onset of precipitation from 1.5 kilometers above cloud base in pristine clouds to more than 5 kilometers in polluted clouds and more than 7 kilometers in pyro-clouds. Suppression of low-level rainout and aerosol washout allows transport of water and smoke to upper levels, where the clouds appear “smoking” as they detrain much of the pollution. Elevating the onset of precipitation allows invigoration of the updrafts, causing intense thunderstorms, large hail, and greater likelihood for overshooting cloud tops into the stratosphere. There, detrained pollutants and water vapor would have profound radiative impacts on the climate system. The invigorated storms release the latent heat higher in the atmosphere. This should substantially affect the regional and global circulation systems. Together, these processes affect the water cycle, the pollution burden of the atmosphere, and the dynamics of atmospheric circulation.
Telomerase activity and expression of telomerase genes in squamous dysplasia and squamous cell carcinoma of the esophagus

Telomerase maintains telomere length and is considered to be necessary for the indefinite proliferation of human cells. Activation of telomerase plays a key role in the malignant transformation process. The aim of this study was to study the regulation of telomerase, and to explore the possibility of telomerase as a biomarker in squamous carcinogenesis of the esophagus.
Charcot Arthropathy of the Foot and Ankle

Charcot foot arthropathy is a progressive, noninfectious, destructive inflammatory process of the foot and ankle. Traditionally described as a sequela of tertiary syphilis, in the vast majority of current patients it is secondary to longstanding diabetes. Today, there are more than 29 million adults in the United States living with diabetes, and this number is expected to increase. As modern medical treatments continue to improve the management and life span of these patients, the prevalence of diabetes-associated complications will rise. Diabetes-associated Charcot foot arthropathy creates a severe negative impact on health-related quality of life for affected individuals, leading to both substantial disability and a financial burden on the health care system. The aim of this current concepts review update is to summarize our current understanding of this systemic disease with a focus on its pathophysiology in the foot and ankle, as well as to provide an analysis of the latest evidence for preventative therapies, nonoperative management strategies, and evidence-based options for operative intervention.
Time Expression Analysis and Recognition Using Syntactic Token Types and General Heuristic Rules

Extracting time expressions from free text is a fundamental task for many applications. We analyze the time expressions from four datasets and find that only a small group of words are used to express time information, and the words in time expressions demonstrate similar syntactic behaviour. Based on the findings, we propose a type-based approach, named SynTime, to recognize time expressions. Specifically, we define three main syntactic token types, namely time token, modifier, and numeral, to group time-related regular expressions over tokens. On the types we design general heuristic rules to recognize time expressions. In recognition, SynTime first identifies the time tokens from raw text, then searches their surroundings for modifiers and numerals to form time segments, and finally merges the time segments to time expressions. As a light-weight rule-based tagger, SynTime runs in real time, and can be easily expanded by simply adding keywords for the text of different types and of different domains. Experiment on benchmark datasets and tweets data shows that SynTime outperforms state-of-the-art methods.
Profit Maximizing Mechanisms for the Extended Multicasting Game

We consider the design of multicast networks when both edges and nodes are sel sh agents. Our objective is a budget-balanced, strategy-proof mechanism which selects the set of clients to receive service and extracts payments from those clients. It constructs a network to provide the service, pays edges to participate in the network, and aims to maximize pro t from the transaction. We introduce the notion of pro t guaranteeing mechanisms, and show the existence of one such mechanism. The mechanism provides guarantees of the form that in a suÆciently pro table market, it obtains some fraction of the obtainable pro t, and if the market is suÆciently unpro table, then the mechanism demonstrates that no pro table solution exists. The mechanism runs in polynomial time. To our knowledge, this is the rst study of mechanisms for designing multicast networks in which edge values are unknown.
Very Similar Spacing-Effect Patterns in Very Different Learning/Practice Domains

Temporally distributed (“spaced”) learning can be twice as efficient as massed learning. This “spacing effect” occurs with a broad spectrum of learning materials, with humans of different ages, with non-human vertebrates and also invertebrates. This indicates, that very basic learning mechanisms are at work (“generality”). Although most studies so far focused on very narrow spacing interval ranges, there is some evidence for a non-monotonic behavior of this “spacing effect” (“nonlinearity”) with optimal spacing intervals at different time scales. In the current study we focused both the nonlinearity aspect by using a broad range of spacing intervals and the generality aspect by using very different learning/practice domains: Participants learned German-Japanese word pairs and performed visual acuity tests. For each of six groups we used a different spacing interval between learning/practice units from 7 min to 24 h in logarithmic steps. Memory retention was studied in three consecutive final tests, one, seven and 28 days after the final learning unit. For both the vocabulary learning and visual acuity performance we found a highly significant effect of the factor spacing interval on the final test performance. In the 12 h-spacing-group about 85% of the learned words stayed in memory and nearly all of the visual acuity gain was preserved. In the 24 h-spacing-group, in contrast, only about 33% of the learned words were retained and the visual acuity gain dropped to zero. The very similar patterns of results from the two very different learning/practice domains point to similar underlying mechanisms. Further, our results indicate spacing in the range of 12 hours as optimal. A second peak may be around a spacing interval of 20 min but here the data are less clear. We discuss relations between our results and basic learning at the neuronal level.