Miracle-dz/UniFAR-FTUs huggingface dataset:
A Multi-Layer Model for the Web Graph

This paper studies stochastic graph models of the WebGraph. We present a new model that describes the WebGraph as an ensemble of dierent regions generated by independent stochastic processes (in the spirit of a recent paper by Dill et al. [VLDB 2001]). Models such as the Copying Model [17] and Evolving Networks Model [3] are simulated and compared on several relevant measures such as degree and clique distribution.
Defining and Measuring Servant Leadership Behaviour in Organizations

This paper examines the development and initial validation of a multidimensional measure of servant leadership behaviour (Servant Leadership Behaviour Scale). Both qualitative and quantitative studies are reported to establish preliminary psychometric properties for the new 35-item, six-dimension measure. The resultant servant leadership model is characterized by its service orientation, holistic outlook, and moral-spiritual emphasis, thereby extending current models of servant leadership and existing works on contemporary leadership approaches. Theoretical contributions, practical implications, and future research directions are discussed in the concluding section of the paper.
Treatment of whole blood with riboflavin plus ultraviolet light, an alternative to gamma irradiation in the prevention of transfusion‐associated graft‐versus‐host disease?

BACKGROUND: Exposure of blood products to gamma irradiation is currently the standard of care in the prevention of transfusion‐associated graft‐versus‐host disease (TA‐GVHD). Regulatory, technical, and clinical challenges associated with the use of gamma irradiators are driving efforts to develop alternatives. Pathogen reduction methods were initially developed to reduce the risk of microbial transmission by blood components. Through modifications of nucleic acids, these technologies interfere with the replication of both pathogens and white blood cells (WBCs). To date, systems for pathogen and WBC inactivation of products containing red blood cells are less well established than those for platelets and plasma.
Comparing published multi-label classifier performance measures to the ones obtained by a simple multi-label baseline classifier

In supervised learning, simple baseline classifiers can be constructed by only looking at the class, i.e., ignoring any other information from the dataset. The single-label learning community frequently uses as a reference the one which always predicts the majority class. Although a classifier might perform worse than this simple baseline classifier, this behaviour requires a special explanation. Aiming to motivate the community to compare experimental results with the ones provided by a multi-label baseline classifier, calling the attention about the need of special explanations related to classifiers which perform worse than the baseline, in this work we propose the use of General_B, a multi-label baseline classifier. General_B was evaluated in contrast to results published in the literature which were carefully selected using a systematic review process. It was found that a considerable number of published results on 10 frequently used datasets are worse than or equal to the ones obtained by General_B, and for one dataset it reaches up to 43% of the dataset published results. Moreover, although a simple baseline classifier was not considered in these publications, it was observed that even for very poor results no special explanations were provided in most of them. We hope that the findings of this work would encourage the multi-label community to consider the idea of using a simple baseline classifier, such that further explanations are provided when a classifiers performs worse than a baseline.
Maximum flow and topological structure of complex networks

The problem of sending the maximum amount of flow q between two arbitrary nodes s and t of complex networks along links with unit capacity is studied, which is equivalent to determining the number of link-disjoint paths between s and t. The average of q over all node pairs with smaller degree kmin is qkmin c kmin for large kmin with c a constant implying that the statistics of q is related to the degree distribution of the network. The disjoint paths between hub nodes are found to be distributed among the links belonging to the same edge-biconnected component, and q can be estimated by the number of pairs of edge-biconnected links incident to the start and terminal node. The relative size of the giant edge-biconnected component of a network approximates to the coefficient c. The applicability of our results to real-world networks is tested for the Internet at the autonomous system level.
Computability Theory of Closed Timelike Curves

We ask, and answer, the question of what's computable by Turing machines equipped with time travel into the past: that is, closed timelike curves or CTCs (with no bound on their size). We focus on a model for CTCs due to Deutsch, which imposes a probabilistic consistency condition to avoid grandfather paradoxes. Our main result is that computers with CTCs can solve exactly the problems that are Turing-reducible to the halting problem, and that this is true whether we consider classical or quantum computers. Previous work, by Aaronson and Watrous, studied CTC computers with a polynomial size restriction, and showed that they solve exactly the problems in PSPACE, again in both the classical and quantum cases. Compared to the complexity setting, the main novelty of the computability setting is that not all CTCs have fixed-points, even probabilistically. Despite this, we show that the CTCs that do have fixed-points suffice to solve the halting problem, by considering fixed-point distributions involving infinite geometric series. The tricky part is to show that even quantum computers with CTCs can be simulated using a Halt oracle. For that, we need the Riesz representation theorem from functional analysis, among other tools. We also study an alternative model of CTCs, due to Lloyd et al., which uses postselection to "simulate" a consistency condition, and which yields BPP_path in the classical case or PP in the quantum case when subject to a polynomial size restriction. With no size limit, we show that postselected CTCs yield only the computable languages if we impose a certain finiteness condition, or all languages nonadaptively reducible to the halting problem if we don't.
Perceived organizational support and organizational commitment: The moderating effect of locus of control and work autonomy

Purpose – The aim of this article is to deepen the understanding of the relationships between perceived organizational support (POS) and the dimensions of organizational commitment (i.e. affective, normative and continuance commitment), and to test the moderating effect of locus of control and work autonomy.Design/methodology/approach – This study, based on a cross‐sectional research design, was conducted in an organizational setting. The sample includes 249 prison employees. The data were collected through questionnaires.Findings – The results show that POS is positively and significantly correlated with affective and normative commitment. In addition, the results of the hierarchical multiple regression analyses support the moderating effect of locus of control and work autonomy with regard to the relationship between POS and affective commitment.Practical implications – This study highlights the importance of providing support to employees in order to foster their affective and normative commitment to t.
Estrogen and Progesterone Modulate [35S]GTPγS Binding to Nociceptin Receptors

Sex steroids modulate reproduction by altering the response of steroid-activated opioid circuits in the hypothalamus and limbic system, by inducing release of endogenous opioids and activation of their cognate receptors. Many studies have concentrated on steroid regulation of exogenous opioid peptides, but steroids also have important actions on opioid receptors inducing receptor trafficking. Opioid receptors are G protein-coupled receptors and their activation catalyzes the exchange of GTP for GDP initiating intracellular signaling cascades. Kinetics of G protein activation were studied using [35S]GTPγS binding. Catalytic amplification, the number of G proteins activated per occupied receptor, was used as a measure of receptor/transducer amplification. The present study examined whether estrogen and progesterone treatment altered the kinetics of nociceptin opioid receptor (ORL1) in plasma membranes from the medial preoptic area and mediobasal hypothalamus. These hypothalamic regions are important in the gonadal steroid hormone regulation of sexual receptivity. In the mediobasal hypothalamus, estrogen increased ORL1 (Bmax) receptor number 2-fold and maximal GTPγS binding (Emax) 3.9-fold. Subsequent progesterone treatment further increased ORL1 Emax 6.9-fold above baseline, despite a 2-fold decrease in the catalytic amplification factor. In the medial preoptic area, estrogen alone did not increase Emax, but both estrogen and progesterone were able to increase ORL1 Bmax 2.2-fold and Emax 3-fold, despite having a 3-fold decrease in the catalytic amplification factor. These effects are interesting because they indicate actions of steroids that increase the number of ORL1 but decrease the catalytic amplification suggesting that the steroid effects on opioid receptors are complex and may involve modulation by other signals.
Activity of the d-Opioid Receptor Is Partially Reduced , Whereas Activity of the k-Receptor Is Maintained in Mice Lacking the m-Receptor

1Unité Propre de Recherche 9050 Centre National de la Recherche Scientifique, Ecole Supérieure de Biotechnologie de Strasbourg Université Louis Pasteur, F-67400 Illkirch, Strasbourg, France, 2Département de Phamacochimie Moléculaire et Structurale, Institut National de la Santé et de la Recherche Médicale U266, Unité de Recherche Associée D1500 Centre National de la Recherche Scientifique, Université René Descartes, F-75270 Paris, France, 3Institut de Génétique et Biologie Moléculaire et Cellulaire, F-67404 Illkirch Strasbourg, France, 4Biologie Fonctionnelle du Neurone, Institut A. Fessard, Centre National de la Recherche Scientifique, F-91198 Gif-sur-Yvette, France, and 5Institute of Medical Pharmacology, University of Rome “La Sapienza”, 00185 Rome, Italy
Associations between advanced cancer patients' survival and family caregiver presence and burden

We conducted a randomized controlled trial (RCT) of an early palliative care intervention (ENABLE: Educate, Nurture, Advise, Before Life Ends) for persons with advanced cancer and their family caregivers. Not all patient participants had a caregiver coparticipant; hence, we explored whether there were relationships between patient survival, having an enrolled caregiver, and caregiver outcomes prior to death. One hundred and twenty‐three patient‐caregiver dyads and 84 patients without a caregiver coparticipant participated in the ENABLE early versus delayed (12 weeks later) RCT. We collected caregiver quality‐of‐life (QOL), depression, and burden (objective, stress, and demand) measures every 6 weeks for 24 weeks and every 3 months thereafter until the patient's death or study completion. We conducted survival analyses using log‐rank and Cox proportional hazards models. Patients with a caregiver coparticipant had significantly shorter survival (Wald = 4.31, HR = 1.52, CI: 1.02–2.25, P = 0.04). After including caregiver status, marital status (married/unmarried), their interaction, and relevant covariates, caregiver status (Wald = 6.25, HR = 2.62, CI: 1.23–5.59, P = 0.01), being married (Wald = 8.79, HR = 2.92, CI: 1.44–5.91, P = 0.003), and their interaction (Wald = 5.18, HR = 0.35, CI: 0.14–0.87, P = 0.02) were significant predictors of lower patient survival. Lower survival in patients with a caregiver was significantly related to higher caregiver demand burden (Wald = 4.87, CI: 1.01–1.20, P = 0.03) but not caregiver QOL, depression, and objective and stress burden. Advanced cancer patients with caregivers enrolled in a clinical trial had lower survival than patients without caregivers; however, this mortality risk was mostly attributable to higher survival by unmarried patients without caregivers. Higher caregiver demand burden was also associated with decreased patient survival.
Serum N-terminal proBNP, not troponin I, at presentation predicts long-term neurologic outcome in acute charcoal-burning carbon monoxide intoxication

Abstract Objective: This study aimed to investigate whether the serum N-terminal pro-brain natriuretic peptide (NT-proBNP) and troponin I levels at emergency department (ED) presentation predict long-term neurologic outcomes after acute charcoal-burning carbon monoxide (CO) poisoning. Methods: This retrospective study included 220 patients suffering from charcoal-burning CO poisoning. The demographics, serum NT-proBNP and troponin I levels at ED presentation, treatment, clinical course during hospitalization, and long-term neurologic outcomes were collected. Results: The median serum NT-proBNP level at presentation was 48.8 (16.5–259) pg/mL, and 78 patients (35.5%) had elevated troponin I (>0.04 ng/mL) after acute charcoal-burning CO poisoning. The upper NT-proBNP and elevated troponin I groups had higher prevalences of respiratory failure, hypotension, and myocardial injury during hospitalization and altered mentality (GCS ≤14) at discharge than the lower NT-proBNP and normal troponin I groups. The incidence of persistent severe neurologic sequelae at 25 months after acute CO poisoning was 10.9%. The upper NT-proBNP and elevated troponin I groups had a higher incidence of poor long-term neurologic outcome than the counterpart groups. Log-transformed NT-proBNP and elevated troponin I were associated with poor long-term neurologic outcome in the univariate analysis, but only the adjusted log-transformed NT-proBNP remained an independent factor in the multivariate analysis. Compared with a predictive model including previously proposed predictors, the addition of log NT-proBNP improved the diagnostic accuracy for predicting poor long-term neurologic outcome. The serum NT-proBNP values for predicting poor long-term neurologic outcome were 74.6 and 32.7 pg/mL at fixed sensitivities of 95 and 99%, respectively. Conclusions: Elevated serum NT-proBNP at ED presentation is correlated with a risk of poor long-term neurologic outcome after discharge in cases of acute charcoal-burning CO poisoning. NT-proBNP could significantly improve the risk stratification of patients who will experience poor long-term neurologic outcome after CO poisoning. This potentially valuable marker should be further validated.
The Filipino family: A text with selected readings

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An evolutionary approach to system-level synthesis

Considers system-level synthesis as the problem of optimally mapping a task-level specification onto a heterogeneous hardware/software architecture. This problem requires: (1) the selection of the architecture (allocation), including general-purpose and dedicated processors, ASICs, buses and memories; (2) the mapping of the algorithm onto the selected architecture in space (binding) and time (scheduling); and (3) the design space exploration, with the goal of finding a set of implementations that satisfy a number of constraints on cost and performance. In this paper, a new graph-based mapping model is introduced to specify the task of system-level synthesis as an optimization problem. An evolutionary algorithm is adapted to solve this problem and is applied to explore the design space of video-codec implementations.
Predictors of suicidality across the life span: The Isle of Wight study

Background Data from a representative community sample were used to explore predictors of lifetime suicidality and to examine associations between distal adolescent and more proximal adult risks. Method Data are from a midlife follow-up of the Isle of Wight study, an epidemiological sample of adolescents assessed in 1968. Ratings of psychiatric symptoms and disorder, relationships and family functioning and adversity were made in adolescence; adult assessments included lifetime psychiatric history and suicidality, neuroticism and retrospective reports of childhood sexual abuse and harsh parenting. Results A wide range of measures of childhood psychopathology, adverse experiences and interpersonal difficulties were associated with adult suicidality; associations were particularly strong for adolescent irritability, worry and depression. In multivariate analyses, substantial proportions of these effects could be explained by their association with adult psychopathology and neuroticism, but additional effects remained for adolescent irritability and worry. Conclusions Factors of importance for long-term suicidality risk are evident in adolescence. These include family and experiential adversities as well as psychopathology. In particular, markers of adolescent worry and irritability appeared both potent risks and ones with additional effects beyond associations with adult disorder and adult neuroticism.
Geodesic star convexity for interactive image segmentation

In this paper we introduce a new shape constraint for interactive image segmentation. It is an extension of Veksler's [25] star-convexity prior, in two ways: from a single star to multiple stars and from Euclidean rays to Geodesic paths. Global minima of the energy function are obtained subject to these new constraints. We also introduce Geodesic Forests, which exploit the structure of shortest paths in implementing the extended constraints. The star-convexity prior is used here in an interactive setting and this is demonstrated in a practical system. The system is evaluated by means of a “robot user” to measure the amount of interaction required in a precise way. We also introduce a new and harder dataset which augments the existing Grabcut dataset [1] with images and ground truth taken from the PASCAL VOC segmentation challenge [7].
Experimentally Induced Heat-Shock Tolerance in Panstrongylus megistus (Hemiptera: Reduviidae)

Abstract The survival and molting incidence of fifth-instar nymphs of Panstrongylus megistus (Burmeister, 1835), a vector of Chagas’ disease, were investigated following sequential heat shocks in which a mild shock (35 or 40°C, 1 h) preceded a more drastic one (40°C, 12 h). The shocks were separated by 8-, 18- 24-, or 72-h periods at 28°C. The heat-shock tolerance response was more effective when the first shock was given at 40°C. When the period between shocks was 18 h, the tolerance to sequential shocks (in terms of specimen survival) weakened, which suggested a transient control of the process that enables the organism to circumvent the unfavorable effects of severe shock. In terms of molting incidence, the heat-shock tolerance was only demonstrated when the period between the first shock at 40°C for 1 h and the second shock at 40°C for 12 h was ≥24 h. These results are the first to demonstrate the induction of heat-shock tolerance in a blood-sucking hemipteran.
Relation Extraction : A Survey

With the advent of the Internet, large amount of digital text is generated everyday in the form of news articles, research publications, blogs, question answering forums and social media. It is important to develop techniques for extracting information automatically from these documents, as lot of important information is hidden within them. This extracted information can be used to improve access and management of knowledge hidden in large text corpora. Several applications such as Question Answering, Information Retrieval would benefit from this information. Entities like persons and organizations, form the most basic unit of the information. Occurrences of entities in a sentence are often linked through well-defined relations; e.g., occurrences of person and organization in a sentence may be linked through relations such as employed at. The task of Relation Extraction (RE) is to identify such relations automatically. In this paper, we survey several important supervised, semi-supervised and unsupervised RE techniques. We also cover the paradigms of Open Information Extraction (OIE) and Distant Supervision. Finally, we describe some of the recent trends in the RE techniques and possible future research directions. This survey would be useful for three kinds of readers - i) Newcomers in the field who want to quickly learn about RE; ii) Researchers who want to know how the various RE techniques evolved over time and what are possible future research directions and iii) Practitioners who just need to know which RE technique works best in various settings.
SVD and Clustering for Unsupervised POS Tagging

We revisit the algorithm of Schutze (1995) for unsupervised part-of-speech tagging. The algorithm uses reduced-rank singular value decomposition followed by clustering to extract latent features from context distributions. As implemented here, it achieves state-of-the-art tagging accuracy at considerably less cost than more recent methods. It can also produce a range of finer-grained taggings, with potential applications to various tasks.
Acid tolerance, proton permeabilities, and membrane ATPases of oral streptococci

Differences in acid tolerance among representative oral streptococci were found to be related more closely to the dynamic permeabilities of the bacteria to protons than to differences in the sensitivities of cell membranes to gross damage caused by environmental acidification. For Streptococcus mutans GS-5, Streptococcus sanguis NCTC 10904, and Streptococcus salivarius ATCC 13419, gross membrane damage, indicated by the release of magnesium from whole cells, occurred at pH values below about 4 and was rapid and extensive at pH values of about 3 or less. A more aciduric, lactic acid bacterium, Lactobacillus casei ATCC 4646, was more resistant to environmental acidification, and gross membrane damage was evident only at pH values below 3. Assessments of the movements of protons into S. mutans cells after an acid pulse at various pH values indicated that permeability to protons was minimal at a pH value of about 5, at which the average half time for pH equilibration across the cell membrane was about 12 min. The corresponding values for the less aciduric organism S. sanguis were pH 7 and 8.2 min, and the values for the intermediate organism S. salivarius were pH 6 and 6.6 min. The ATPase inhibitor dicyclohexylcarbodiimide acted to increase markedly the permeability of each organism to protons, and this action indicated that permeability involved not only the passive inflow of protons but also active outflow through the proton-translocating membrane ATPase. Membranes were isolated from each of the bacteria, and pH profiles for ATPase activities indicated pH optima of about 7.5, 7.0, 6.0, and 5.0 for S. sanguis, S. salivarius, S. mutans, and L. casei, respectively. Thus, the pH profiles for the enzymes reflected the acid tolerances of the bacteria and the permeabilities of whole cells to protons.