Miracle-dz/UniFAR-FTUs huggingface dataset:
The Impact of CSR on Investors’ Behaviour

There has been an increased attention to sustainability in the society which has affected bothconsumers’ and investors’ behaviour. Consequently, companies are pressured to include CSR intheir businesses. Further, the media is quick to report when companies are acting sociallyirresponsible. For this reason it is of interest to investigate whether these news reports affectinvestors. One way to examine this is to study the stock price during such events. In addition, ithas been shown that women tend to value sustainability higher than men when consuming goodsand services. Hence, it is relevant to study if this trend is shown in their investment attitudes aswell. The method in this study consists of an event study which has been used to investigate theimpact of CSR events on stock prices of Swedish listed companies. In addition, a survey wasconducted to examine the attitudes towards CSR among Swedish private investors.The average two-day CAR for negative events was -0.18 percent, which suggests an existingeffect of negative CSR events on stock prices of listed Swedish companies belonging to OMX30.The findings in the survey showed that there is a great interest in CSR among Swedish investors.Further, a larger proportion include CSR in their investment decision compared to those who donot. Our findings showed that there exist differences in attitudes towards CSR within differentcategories of investors such as gender, age and trading habits. A larger proportion of femalerespondents have a greater interest in CSR and include CSR aspects in their investmentdecisions compared to males. A greater amount of female participants believe that a company'sCSR performance is at least as important as its financial one compared to males. Further, asignificant smaller proportion of investors between 18-24 years include CSR aspects when theymake investment decisions compared to those between 55-64 years. Our results suggest that themain underlying reason for respondents to include CSR was risk mitigation for the ones who trademore often and moral concerns for those who trade less often. Lastly, a larger proportion of thosewho trade less frequently believe that a company's CSR performance is at least as important asits financial one, compared to those who trade more frequently.
Complications of adult-onset Still’s disease and their management

ABSTRACT Introduction: Adult-onset Still’s disease (AOSD) is a rare systemic auto-inflammatory disorder in which management and treatment have considerably progressed over the past decade. Despite wide use of interleukin (IL)-1 or IL-6 inhibitors, serious complications remain possible. Areas covered: A comprehensive literature search in MEDLINE via Pubmed was performed to review AOSD’s severe and sometimes life-threatening complications: reactive hemophagocytic lymphohystiocytosis, coagulation disorders, fulminant hepatitis, cardiac or pulmonary complications and amyloid A amyloidosis. Expert commentary: Early recognition and prompt management is essential to significantly decrease morbi-mortality. The key question is to determine whether the complication is related to the disease itself or related to or favored by (e.g. infection) the ongoing treatment. For all severe AOSD-related complications, high-dose corticosteroids and supportive measures remain the first-line treatment. In case of inadequate response, combination with IL-1 or IL-6 blockers is justified. Cyclosporine A and etoposide remain of interest, especially in case of reactive hemophagocytic lymphohysitocytosis. Plasma exchange may be useful in case of thrombotic microangiopathy. In the near future, new biologic or non-biologic drugs targeting IL-18 or other cytokines or kinases could be of help.
Exploiting Content Spatial Distribution to Improve Detection of Intrusions

We present PCkAD, a novel semisupervised anomaly-based IDS (Intrusion Detection System) technique, detecting application-level content-based attacks. Its peculiarity is to learn legitimate payloads by splitting packets into chunks and determining the within-packet distribution of n-grams. This strategy is resistant to evasion techniques as blending. We prove that finding the right legitimate content is NP-hard in the presence of chunks. Moreover, it improves the false-positive rate for a given detection rate with respect to the case where the spatial information is not considered. Comparison with well-known IDSs using n-grams highlights that PCkAD achieves state-of-the-art performances.
Coordinated beamforming for heterogeneous small-cell networks with a non-ideal backhaul

In this article, intra- and inter-cell interference caused by the non-ideal backhaul in coordinated multipoint (CoMP) are studied. A recursive estimation-based zero-forcing beamforming (RE-ZFBF) scheme is proposed to mitigate the interference. Based on an initial value, the RE-ZFBF scheme recursively approximates the beamformer variation between two consecutive time points by exploiting the temporal channel correlation. In contrast to a previous work, the authors convert the original non-convex constraint quality-of-service problem to an unconstrained convex one, by optimising the estimation of the beamformer error, rather than the beamforming power. It is shown that the proposed scheme can mitigate at most half the intra- and inter-cell interference, enhance the ZFBF performance, and outperform the existing works for CoMP with a non-ideal backhaul in heterogeneous small-cell networks.
Influence of a charge-gradient force on dust acoustic waves

The influence of a charge-gradient force, associated with variations of the particle charge in response to external perturbations, on the propagation of low-frequency waves in weakly coupled complex (dusty) plasmas is investigated. The magnitude of the effect is compared with that due to polarization force, studied previously in the literature. Numerical estimates are presented for the regime, where the orbital motion limited approach to particle charging is relevant.
High-dimensional similarity search and sketching: algorithms and hardness

We study two fundamental problems that involve massive high-dimensional datasets: approximate near neighbor search (ANN) and sketching. We obtain a number of new results including: ∙ An algorithm for the ANN problem over the l1 and l2 distances that, for the first time, improves upon the Locality-Sensitive Hashing (LSH) framework. The key new insight is to use random space partitions that depend on the dataset. ∙ An implementation of the core component of the above algorithm, which is released as FALCONN: a new C++ library for high-dimensional similarity search. ∙ An efficient algorithm for the ANN problem over any distance that can be expressed as a symmetric norm. ∙ For norms, we establish the equivalence between the existence of short and accurate sketches and good embeddings into lp spaces for 0 < p ≤ 2. We use this equivalence to show the first sketching lower bound for the Earth Mover’s Distance (EMD). Thesis Supervisor: Piotr Indyk Title: Professor of Electrical Engineering and Computer Science
Nanobodies and Cancer: Current Status and New Perspectives

ABSTRACT Reducing the dimension of antigen-binding proteins to an only immunoglobulin domain has been one of the objectives of antibody manufacturing. Heavy chain antibodies were encountered while attempting to separate the blood serum proteins of dromedaries. Later the term “nanobodies” (Nbs) was introduced. The advantageous features of Nbs comprise little immunogenicity, stability at low/high pH, capacity to target antigens that are less antigenic, and, lastly, easy capability to be used for therapy against tumor cells. Presently, Nbs have been used for several medical and biotechnological purposes. Numerous Nb-derived formats have been positively proved useful for targeting drug delivery, and bioimaging.
Never-Ending Learning for Open-Domain Question Answering over Knowledge Bases

Translating natural language questions to semantic representations such as SPARQL is a core challenge in open-domain question answering over knowledge bases (KB-QA). Existing methods rely on a clear separation between an offline training phase, where a model is learned, and an online phase where this model is deployed. Two major shortcomings of such methods are that (i) they require access to a large annotated training set that is not always readily available and (ii) they fail on questions from before-unseen domains. To overcome these limitations, this paper presents NEQA, a continuous learning paradigm for KB-QA. Offline, NEQA automatically learns templates mapping syntactic structures to semantic ones from a small number of training question-answer pairs. Once deployed, continuous learning is triggered on cases where templates are insufficient. Using a semantic similarity function between questions and by judicious invocation of non-expert user feedback, NEQA learns new templates that capture previously-unseen syntactic structures. This way, NEQA gradually extends its template repository. NEQA periodically re-trains its underlying models, allowing it to adapt to the language used after deployment. Our experiments demonstrate NEQA's viability, with steady improvement in answering quality over time, and the ability to answer questions from new domains.
Contact With Mental Health Services Prior to Suicide: A Systematic Review and Meta-Analysis.

OBJECTIVE Access to mental health care is regarded as a central suicide prevention strategy. This is the first systematic review and meta-analysis of the prevalence of contact with mental health services preceding suicide. METHODS A systematic search for articles reporting prevalence of contact with mental health services before suicide was conducted in MEDLINE and PsycINFO, restricted to studies published from January 1, 2000, to January 12, 2017. A random-effects meta-analysis with double arcsine transformations was conducted, with meta-regression used to explore heterogeneity. RESULTS Thirty-five studies were included in the systematic review, and 20 were included in the meta-analysis. Among suicide decedents in the population, 3.7% (95% confidence interval [CI]=2.6%-4.8%) were inpatients at the time of death. In the year before death, 18.3% (CI=14.6%-22.4%) of suicide decedents had contact with inpatient mental health services, 26.1% (CI=16.5%-37.0%) had contact with outpatient mental health services, and 25.7% (CI=22.7%-28.9%) had contact with inpatient or outpatient mental health services. Meta-regression showed that women had significantly higher levels of contact compared with men and that the prevalence of contact with inpatient or outpatient services increased according to the sample year. CONCLUSIONS Contact with services prior to suicide was found to be common and contact with inpatient or outpatient mental health services before suicide seems to be increasing. However, the reviewed studies were mainly conducted in Western European and North American countries, and most studies focused on psychiatric hospitalization, which resulted in limited data on contact with outpatient services. Better monitoring and data on suicides that occur during and after treatment seem warranted.
Clinical problems in hemodialysis patients with autosomal dominant polycystic kidney disease

Autosomal dominant polycystic kidney disease (ADPKD) is a common monogenic disease characterized by massive enlargement of fluid‐filled cysts in the kidney. Due to its genetic pattern, the disease differs from other CKD. ADPKD is a multi‐system, progressive disorder which is frequently complicated with hypertension, cardiovascular events and cerebrovascular disease. Thus, there are many clinical problems specific to ADPKD. In this article, we reviewed these clinical problems and their management in ADPKD with hemodialysis patients.
The GuanXi network: a new multilingual LLOD for Language Learning applications

Linguistic resources are essential for Language Learning applications. However, available resources are usually created in isolation, thus, they are scattered and need to be linked before they can be used for a specific task such as learning of a foreign language. To address these problems we present a new resource that link linguistic resources of multiple languages using the framework of Linguistic Linked Open Data (LLOD).
Epizootic Hemorrhagic Disease Virus Serotype 6 Infection in Cattle, Japan, 2015

During October–December 2015, an epizootic hemorrhagic disease outbreak occurred in cattle in Japan. Forty-six animals displayed fever, anorexia, cessation of rumination, salivation, and dysphagia. Virologic, serologic, and pathologic investigations revealed the causative agent was epizootic hemorrhagic disease virus serotype 6. Further virus characterization is needed to determine virus pathogenicity.
Job Loss, Firm�?Level Heterogeneity and Mortality: Evidence from Administrative Data

This paper estimates the effect of job loss on mortality for older male workers with a strong labor force attachment. Using Dutch administrative data, we find that job loss due to firm closure increased the probability of death within five years by a sizable 0.60 percentage points. Importantly, this effect is estimated using a model that controls for firm-level worker characteristics, such as lagged firm-level annual average mortality rates. On the mechanism driving the effect of job loss on mortality, we provide evidence for an effect running through stress and changes in life style.
Tumor necrosis factor alfa and interleukin 1 alfa induced phosphorylation and degradation of inhibitory kappa B alpha are regulated by estradiol in endometrial cells

Objective: When bound to the inhibitory kappa B (IкB) protein, the transcription factor nuclear factor kappa B (NF-кB) remains inactively in the cytoplasm. Activated NF-кB upregulates the gene expression of many chemokines including monocyte chemoattractant protein-1 and interleukin (IL)-8. We hypothesized that estrogen may regulate IкB phosphorylation and degradation thus influencing NF-кB-dependent gene expression. Regulation of chemokines by estrogen is different in uterine endometrial cells when compared to ectopic endometrial cells of endometriosis. Materials and Methods: We investigated the in vivo expression of IкB in normal endometrium and in eutopic and ectopic endometrium of women with endometriosis. We then studied in cultured endometrial cells to assess the effects of estradiol on IкB and NF-кB function. Results: Normal endometrium from mid-late proliferative phase revealed the strongest IкB immunoreactivity throughout the cycle (p<0.05). When compared to paired homologous eutopic endometrium, ectopic endometrium revealed significantly less immunoreactivity for IкB (p<0.05). Moreover, estradiol induced a decrease in tumor necrosis factor-and IL-1-induced IкB phosphorylation, and also decreased the levels of active-NF-кB (p<0.05). Conclusion: Our results support the conclusion that one pathway for estradiol-mediated NF-кB inhibition occurs through the down-regulation of IкB phosphorylation. We propose that the estradiol-induced regulation of IкB and consequent reduction in active-NF-кB may affect inflammatory responses in human endometrial cells.
Engagement of brain areas implicated in processing inner speech in people with auditory hallucinations.

BACKGROUND The neurocognitive basis of auditory hallucinations is unclear, but there is increasing evidence implicating abnormalities in processing inner speech. Previous studies have shown that people with schizophrenia who were prone to auditory hallucinations demonstrated attenuated activation of brain areas during the monitoring of inner speech. AIMS To investigate whether the same pattern of functional abnormalities would be evident as the rate of inner speech production was varied. METHOD Eight people with schizophrenia who had a history of prominent auditory hallucinations and eight control participants were studied using functional magnetic resonance imaging while the rate of inner speech generation was varied experimentally. RESULTS When the rate of inner speech generation was increased, the participants with schizophrenia showed a relatively attenuated response in the right temporal, parietal, parahippocampal and cerebellar cortex. CONCLUSIONS In people with schizophrenia who are prone to auditory hallucinations, increasing the demands on the processing of inner speech is associated with attenuated engagement of the brain areas implicated in verbal self-monitoring.
Sleep apnoea detection in children using PPG envelope-based dynamic features

Photopletysmography signal has been developed for monitoring of Obstructive Sleep Apnoea, in particular, whenever an apneic episode occurs, that is reflected by decreases in the photopletysmography signal amplitude fluctuation. However, other physiological events such as artifacts and deep inspiratory gasp produce sympathetic activation, being unrelated to apnea. Thus, its high sensitivity can produce misdetections and overestimate apneic episodes. In this regard, a methodology for selecting a set of relevant non-stationary features to increase the specificity of the obstructive sleep apnea detector is discussed. A time-evolving version of the standard linear multivariate decomposition is discussed to perform stochastic dimensionality reduction. As a result, performed outcomes of accuracy bring enough evidence that if using a subset of cepstral-based dynamic features, then patient classification accuracy is 83.3%. Therefore, photoplethysmography — based detection provides an adequate scheme for obstructive sleep apnea diagnosis.
Generalized SART Methods for Tomographic Imaging.

Nowadays, the field computed tomography (CT) encompasses a large variety of settings, ranging from nanoscale to meter-sized objects imaged by photons or electrons in several specific acquisition modes. This experimental diversity challenges the flexibility of tomographic reconstruction algorithms. The simultaneous algebraic reconstruction technique (SART) performs tomographic inversion by cyclically updating the recovered object to fit single tomographic projections in each iteration. While the method is computationally efficient, geometrically flexible and exhibits fast (semi-)convergence for high-quality data sets, it lacks robustness and adaptiveness to be applicable in more challenging settings. In this work, generalized SART-iterations are derived which may incorporate advanced regularization, non-trivial image-formation models as well as non-quadratic and even non-convex data fidelity terms at essentially unchanged computational costs. They are equally applicable to parallel- and cone-beam setups and regardless of the sampling in the tomographic incident directions. To a large degree, the novel approach thus combines the flexibility of variational reconstruction methods with the efficiency of SART, which is illustrated by applications in robust tomographic reconstruction, region-of-interest tomography, polychromatic CT and phase-contrast tomography.
Value of free/total prostate-specific antigen (f/t PSA) ratios for prostate cancer detection in patients with total serum prostate-specific antigen between 4 and 10 ng/mL

Background: Prostate carcinoma is a common disease that occurs in men over 50 years old. Many studies have explored the effect of free/total prostate-specific antigen (f/t PSA) ratio in monitoring prostate cancer. We conducted a meta-analysis to identify the accuracy of the f/t PSA ratio in the diagnosis of prostate cancer in patients who have PSA levels of 4 to 10 ng/mL. Methods: Databases searched included PubMed and OVID databases, from inception to March 2017, after a systematical review, sensitivity, specificity, and other measures of accuracy of the f/t PSA ratio in the diagnosis of prostate cancer were pooled. We used summary receiver operating characteristic curves to summarize overall test performance. Results: Fifteen case–control studies from 14 articles were identified. The results indicated that the sensitivity of the f/t PSA ratio in the diagnosis of prostate cancer ranged from 0.5 to 0.94 (pooled sensitivity 0.70, 95% CI: 0.67–0.72), whereas its specificity ranged from 0.31 to 0.93 (pooled specificity 0.55, 95% CI: 0.57–0.60). The positive likelihood ratio was 1.85 (95% CI: 1.56–2.20), negative likelihood ratio was 0.42 (95% CI: 0.34–0.53), and diagnostic odds ratio was 4.81 (9.53% CI: 3.33–6.94). Conclusions: The f/t PSA ratio determination has a low sensitivity and specificity for the diagnosis of prostate cancer; it would not be useful for the diagnosis of prostate cancer by itself. The results of f/t PSA ratio measurements should refer to the clinical manifestations and the results of conventional tests such as biopsies.
Evidence-based Practice: Making the Research Relevant to Your Situation—CLUE #4: Apply

Evidence-based practice (EBP) is often thought to be synonymous with research and literature. This article focuses on the fourth step in the EBP process: Apply. In this step, we fully integrate the EBP Venn diagram, which illustrates that EBP occurs at the intersection of evidence and data, clinical expertise and resources, and population’s values and cultures. Only when school nurses include each component into their practice decision will true EBP occur.
Efficient Algorithms for Bend-minimum Orthogonal Drawings of Planar 3-Graphs

Let $G$ be a planar $3$-graph (i.e., a planar graph with vertex degree at most three) with $n$ vertices. We prove that a planar orthogonal drawing of $G$ with the minimum number of bends can be computed in $O(n^2)$ time. The minimum is taken over all planar embeddings of $G$. The most efficient known algorithm to solve this problem has complexity $\tilde{O}(n^\frac{17}{7})$, as proved by Chang and Yen for biconnected planar 3-graphs [SoCG Proc., 2017]. If either a distinguished edge or a distinguished vertex of $G$ is constrained to be on the external face, a bend-minimum orthogonal drawing of $G$ that respects the given constraint can be computed in $O(n)$ time. An additional feature of our algorithms is that they compute drawings with at most two bends per edge, which is worst-case optimal.
Thyroid Function in Human Obesity: Underlying Mechanisms

Abstract Obesity is associated with several metabolic and endocrine disorders; and changes in plasma concentrations, secretion patterns, and clearance of various hormones are observed in obese patients. In this context, recent research has shown that overweight can influence the function of the thyroid gland, usually leading to increased thyrotropin concentrations and changes in the ratio between the hormones triiodothyronine and thyroxine, though within the normal range. The etiology of these changes is still unclear; however, several mechanisms have been proposed including the adaptive process to increase energy expenditure, hyperleptinemia, changes in the activity of deiodinases, the presence of thyroid hormones resistance, chronic low-grade inflammation, and insulin resistance. Although the clinical implications have not been clarified, studies suggest that these changes in the thyroid function of obese individuals may contribute to the worsening of metabolic complications and the development of diseases in the thyroid gland.
Academic Circle Mining Based on the Citation Relationship

Academic circle are groups of similar scholars in academic networks. The academic circle also called community circle. A reliable and efficient community discovery method can play an important role in the communication of academic field. At present, there is a lack of universal judgment index and authoritative division of academic community in the academic field, and it is difficult to judge the reliability of the algorithm. This paper improves the classic DBSCAN (Density-Based Spatial Clustering of Applications with Noise) Clustering Algorithm by according to the characteristics of the data set itself to determine the input parameters of the algorithm, and propose a new algorithm called improved DBSCAN. The new algorithm is applied to community networks and has been demonstrated superior effectiveness over DBSCAN.