Miracle-dz/UniFAR-FTUs huggingface dataset:
Fault-Tolerant Broadcasting in Radio Networks

We consider broadcasting in radio networks that are subject to permanent node failures of unknown location. Nodes are spread in a region in some regular way. We consider two cases: nodes are either situated at integer points of a line or they are situated on the plane, at grid points of a square or hexagonal mesh. Nodes send messages in synchronous time slots. Each node v has a given transmission range of the same radius R. All nodes located within this range can receive messages from v. However, a node situated in the range of two or more nodes that send messages simultaneously, cannot receive these messages and hears only noise. Faulty nodes do not receive or send any messages. We give broadcasting algorithms whose worst-case running time has optimal order of magnitude, and we prove corresponding lower bounds. In case of nonadaptive algorithms this order of magnitude is θ(D + t), and for adaptive algorithms it is Θ(D + log(min(R, t))), where t is an upper bound on the number of faults in the network and D is the diameter of the fault-free part of the network that can be reached from the source as a result of those faults.
cgDNA: a software package for the prediction of sequence-dependent coarse-grain free energies of B-form DNA

cgDNA is a package for the prediction of sequence-dependent configuration-space free energies for B-form DNA at the coarse-grain level of rigid bases. For a fragment of any given length and sequence, cgDNA calculates the configuration of the associated free energy minimizer, i.e. the relative positions and orientations of each base, along with a stiffness matrix, which together govern differences in free energies. The model predicts non-local (i.e. beyond base-pair step) sequence dependence of the free energy minimizer. Configurations can be input or output in either the Curves+ definition of the usual helical DNA structural variables, or as a PDB file of coordinates of base atoms. We illustrate the cgDNA package by comparing predictions of free energy minimizers from (a) the cgDNA model, (b) time-averaged atomistic molecular dynamics (or MD) simulations, and (c) NMR or X-ray experimental observation, for (i) the Dickerson–Drew dodecamer and (ii) three oligomers containing A-tracts. The cgDNA predictions are rather close to those of the MD simulations, but many orders of magnitude faster to compute. Both the cgDNA and MD predictions are in reasonable agreement with the available experimental data. Our conclusion is that cgDNA can serve as a highly efficient tool for studying structural variations in B-form DNA over a wide range of sequences.
Hidden dimensions of work and learning: the significance of unpaid work and informal learning in global capitalism

Over the past two centuries capitalist social relations and their underlying dynamics have become increasingly pervasive in the spaces of human life, and in particular in the relationships between employment and organized forms of education. The massive scope of this commodification has tended to obscure the enduring significance of other aspects of social practice, especially unpaid work and informal learning and their interrelations with education, employment and each other. These hidden dimensions continue to constitute large parts of our social lives and represent very substantial resources for progressive change in established forms of paid work and formal education. This paper develops this argument and provides some supportive evidence from a Canadian national survey on learning and work.
La relación entre el aprendizaje léxico y el desarrollo gramatical

Resumen El presente trabajo se centra en estudiar la relación que existe entre el desarrollo de léxico y el de la morfosintaxis. Concretamente pretendemos explorar el tipo de vocabulario que mejor predice el desarrollo de la morfología verbal y el de la complejidad gramatical, así como establecer el tipo de relación entre desarrollo léxico y desarrollo morfosintáctico. La muestra comprende 517 niños de edades comprendidas entre los 18 meses y los 30 meses. Los datos se han recogido a partir de la adaptación al catalán del instrumento MacArthur-Bates Communicative Development Inventories (CDI). Los resultados muestran que el mejor predictor del desarrollo morfológico y gramatical es el vocabulario de clase cerrada, conjuntamente con el vocabulario general. Por otra parte, se observa una relación predominantemente lineal entre el desarrollo del léxico y el desarrollo morfosintáctico.
AN OVERVIEW ON THE PREVALENCE OF DRUG RESISTANT STREPTOCOCCUS MUTANS IN DENTAL CARIES PATIENTS

Drug resistance is a worldwide problem. Drug resistant bacteria are more common in health clinic. Streptococcus mutans is the etiological agent of dental plaque. Over a number of decades epidemiological studies on human populations have indicated an association between the presence of Streptococcus mutans in plaque and their prevalence in dental caries. S. mutans has been implicated as cariogenic bacteria, because they produce high level of lactic acid and extracellular polysaccharide. It is observed that S.mutans is gaining resistance to commonly prescribed drugs. In the present study dental plaque samples were collected from patients of different locality within Bangalore city at M. S. Ramaiah Dental College, to study the pattern of drug resistance. Among 100 dental samples collected, 40 samples were grouped under Bangalore urban population and S. mutans was isolated. The isolates were identified as S. mutans by standard biochemical tests and fermentation studies. The isolates which showed positive results for gram staining and fermentation test were further confirmed with haemolysis test. The subculture of this S. mutans isolates were maintained in TH slants for further analysis. Antibiotic Sensitivity test with commonly used antibiotics signified the emergence of drug resistance in S. mutans. Out of 40 isolates 23 isolates were drug-resistant S. mutans. About 56% isolates showed sensitivity to penicillin and Ciprofloxacin, while 30% of the isolates showed sensitivity to Erythromycin and 70% showed complete resistance. The present study indicated the increased resistance in S. mutans of urban population, towards the effective antibiotics Penicillin, Erythromycin and Ciprofloxacin.
Wissensaustausch auf der Grundlage von Referenzmodellen - Anforderungen und Möglichkeiten

2 BEGRIFFSBESTIMMUNG 202 2.1 MODELLBEGRIFF 202 2.2 ASPEKTE DES REFERENZBEGRIFFS 202 2.2.1 Wiederverwendungsgrundlage (Bezugnahme) 203 2.2.2 Empfehlungscharakter 203 2.2.3 Glaubwurdigkeit 203 2.3 SCHLUsFOLGERUNGEN 204
Comparing importance and performance from a patient perspective in English general practice: a cross-sectional survey.

BACKGROUND Patient experience and satisfaction are important indicators of quality in health care. Little is known about where to prioritize efforts to improve patient satisfaction. OBJECTIVES To investigate patient satisfaction with primary care, as part of the Quality and Costs of Primary Care in Europe study in England, identifying areas where improvements could be made from patients' perspectives. METHODS We conducted a questionnaire survey of general practice patients in three English regions. Patient Values questionnaires assessed what patients thought was important, and Patient Experience questionnaires rated performance of primary care. Fifteen attributes of care were compared using Importance Performance Analysis, a method that simultaneously represents data on importance and performance of a service, enabling identification of its strengths and weaknesses. RESULTS Patients rated both 'relational' and 'functional' aspects of care as important. Satisfaction with general practice could be improved by concentrating on specific aspects of access (ensuring that patients know how to access out-of-hours services and find it easy to get an appointment), and one aspect of empowerment (after their visit, patients feel able to cope better with their health problem/illness). However, for other attributes (e.g. proximity of the practice to a patient's house or, a short waiting time when contacting the practice), investing additional resources is not likely to increase patient satisfaction. CONCLUSION Attributes needing most improvement concerned access to primary care and patient empowerment. More research is needed to identify how to improve access without generating unnecessary additional demand or compromising continuity of care.
First Year Seminars Produce Long-Term Impact

In an effort to provide insight into a strategy for increasing student retention, students enrolled in a first year seminar were paired with a matched comparison group, and retention of the 1,853 students in the two groups was compared over a period of four years. Results indicated significantly greater retention over a period of four years for students enrolled in the seminar. Review of the literature indicates that while such seminars are gaining in popularity, longitudinal studies of their effectiveness using matched comparison groups are lacking. In addition to expanding the research base of the first year seminars, this article also presents the background of the seminar and studies regarding the first year seminar that are relevant to retention.
The Effects of Communication Motives, Interaction Involvement, and Loneliness on Satisfaction

A small group model was tested that traced the path by which communication motives influenced interaction involvement and loneliness and the ways that these factors, in turn, influenced group satisfaction. Results indicated that pleasure was a reason for communicating responsively, whereas escape, control, and inclusion were not reasons. Escape was not a motive reported by those who were lonely. With regard to group satisfaction, it was found that loneliness was a mediatingfactor in that members who interacted responsively were not lonely, and those who were not lonely reported satisfaction with the group. Finally, there was a direct link between the need for affection and satisfaction. Implications of the model's findings support the need for communication skills training and understanding members' motives for interacting in ongoing task groups.
Window-Based Range Flow with an Isometry Constraint

This paper proposes a simple window-based range flow method which uses isometry of the observed surface as its primary matching constraint. The method uses feature points as anchoring references of the surface deformation. Given a set of matched features no other intensity information is used and hence the method can tolerate intensity changes over time. The range-flow equation is only required for a final verification step making the method robust to poor quality range images. This allows us to use the popular Point Grey Research Bumblebee 2 stereo-head to acquire our range data. The approach is shown to work well on two example scenes which capture non-rigid isometric and general deformations. The paper also presents experiments demonstrating the stability of the geodesic approximation employed in the isometry-based matching when the 3D point clouds are sparse.
A comparative study of machine-learning methods to predict the effects of single nucleotide polymorphisms on protein function

MOTIVATION The large volume of single nucleotide polymorphism data now available motivates the development of methods for distinguishing neutral changes from those which have real biological effects. Here, two different machine-learning methods, decision trees and support vector machines (SVMs), are applied for the first time to this problem. In common with most other methods, only non-synonymous changes in protein coding regions of the genome are considered. RESULTS In detailed cross-validation analysis, both learning methods are shown to compete well with existing methods, and to out-perform them in some key tests. SVMs show better generalization performance, but decision trees have the advantage of generating interpretable rules with robust estimates of prediction confidence. It is shown that the inclusion of protein structure information produces more accurate methods, in agreement with other recent studies, and the effect of using predicted rather than actual structure is evaluated. AVAILABILITY Software is available on request from the authors.
Teacher–Student Interactions and Race in Integrated Classrooms

The treatment of African American students and Caucasian American students in middle schools by Caucasian American female teachers during 32 hr of instruction in integrated classrooms was investigated. Data revealed that African American students as a group were not treated as favorably by their teachers as were Caucasian American students. Teachers interacted more positively with American Caucasian students according to nearly all 16 dependent variables of a modified version of the Brophy-Good Dyadic Coding System. Caucasian American boys, relative to all other students, received the most favorable treatment and initiated the most student-teacher contact. Conversely, African American boys, among all the groups studied, received the least favorable treatment from their teachers.
Cyberbullying of teachers by students on YouTube: challenging the image of teacher authority in the digital age

There has been a rapid increase in the cyberbullying of teachers in schools by their students. One aspect of this phenomenon is the posting of visual recordings of teachers and teacher–student interaction on easily accessible websites such as YouTube. Whilst research on the cyberbullying of students by other students has received a great deal of attention, research on the cyberbullying of teachers by students is still in its infancy. This paper addresses key issues that have emerged by examining such recordings which have been posted on YouTube. This paper focuses on one illustrative example from each of three national settings, which feature teachers in Brazil, Portugal and England. The analysis of these three recordings indicates that we need to develop a new conceptual framework in order to understand the cyberbullying of teachers by students. There appears to have been a radical shift in the way students can challenge teacher authority through the use of digital media. Combatting this phenomenon needs to be seen in the context of developing an anti-cyberbullying policy for the whole school. We conclude that teachers, head teachers, students, parents and welfare professionals need to work together to consider how best to deal with the cyberbullying of teachers by students, within the context of developing a positive school community ethos, the adoption of an anti-cyberbullying policy for the whole school, and addressing cyberbullying through the personal and social education curriculum.
Gait Recognition Bases on the Compressed Sensing

Nowadays, there are two primary problems in the gait recognition which are the complexity of modeling and the high-dimension of feature extraction. In the light of these two problems, we propose a method that we use the CS compressed sensing (CS) Theory to extract the gait features on the basis of researching the CS theory. Based on the sparsity of the gait images, we use the projection matrix to extract the gait features to reduce the dimension of gait feature vector. Using the database provided by the Chinese Academy of Sciences Institute of Automation as testing data, we confirm the optimal dimension of the feature vectors through experiments. The performances of experiments show the effectiveness of the algorithm we proposed.
Repertoire analysis of CD8+ T cell responses to minor histocompatibility antigens involved in graft-versus-host disease.

Graft-vs-host disease (GVHD) is a major complication of allogeneic bone marrow transplantation. Experimentally, lethal GVHD can be induced in MHC-matched strain combinations differing in expression of multiple minor histocompatibility Ags (miHA). Recently, the GVHD potential of C57BL/6By (B6) T cells in irradiated BALB.B (both H2b) and related CXB recombinant inbred strains of mice has been studied to determine the scope of the response to miHA in vivo and how it compared with CTL responses to immunodominant miHA in vitro. The GVHD response in these strain combinations appeared to be limited to a few Ags, yet there was no correlation of these miHA with that of in vitro CTL responses. To further investigate the role of CD8+ T cells in GVHD, we analyzed positively selected miHA-specific donor CD8+ thoracic duct lymphocytes (TDL) collected from irradiated BALB.B and CXBE mice, 5 to 6 days after transplantation of B6 T cells. Flow cytometric analysis of B6-->BALB.B TDL did not indicate expansion of any particular TCR Vbeta family, whereas Vbeta10 and Vbeta14 families were significantly expanded in the B6-->CXBE TDL. However, PCR-based complementarity-determining region 3 size spectratyping revealed overlapping involvement of donor Vbeta1, 6, 8, 9, 10, and 14 families in both BALB.B and CXBE recipients and unique utilization of the Vbeta4 family in BALB.B mice, suggesting oligoclonal T cell responses to a limited number of miHA. In addition, the injection of CD8+ Vbeta14+ B6 T cells into irradiated BALB.B and CXBE mice induced lethal GVHD, confirming the involvement of miHA-specific T cells within an individual Vbeta family.
The economic returns of bonding and bridging social capital for immigrant men in Germany

Abstract Using longitudinal data, this paper analyses the effect of different forms of social capital on the likelihood of employment and the occupational status of first generation immigrant men in Germany. This allows me to examine to what extent social capital of the bonding and the bridging types yield different returns. The study considers how contacts with natives, co-ethnic ties and family-based social capital are beneficial to the economic position of immigrant men. Random effects and fixed effects models show that strong inter-ethnic ties are beneficial both for employment and occupational status. There is no effect of co-ethnic ties and family-based social capital. It is concluded that, when using panel data, bridging social capital contributes to a better economic position and bonding social capital does not.
Treating Patients with Symptoms—and Symptoms with Patience: Reflections on Shame, Dissociation, and Eating Disorders

I offer the view that the symptom picture found in most patients with eating disorders, as well as in the symptomatology of many other so-called difficult patients, is the end result of prolonged necessity in infancy to control traumatic dysregulation of affect. I propose that the central issue for an eating-disordered patient is that she is at the mercy of her own physiologic and affective states because she lacks an experience of human relatedness and its potential for reparation that mediates self-regulation. She is enslaved by her felt inability to contain desire as a regulatable affect and is thus unable to hold desire long enough to make choices without the loss of the thing not chosen leading to a dread of self-annihilation. Trauma compromises trust in the reparability of relationship, and for symptoms to be surrendered, trust in reparability must be simultaneously restored. Because felt desire is the mortal enemy of an eating-disordered patient, this fact becomes a central dynamic in the analytic field, leading analyst and patient into a struggle over who shall hold the desire and whether the issue of control over food is allowed to become a subject for negotiation. I discuss the inevitability of the analyst's own dissociative reactions in response to the patient's internal war over desire and control, and the different types of interpersonal enactments into which an analyst is drawn. In this tension, as illustrated through clinical vignettes, analyst and patient slip in and out of a constantly shifting array of self-states and thereby have an opportunity to coconstruct a transitional reality within which the patient's impaired faith in the reliability of human relatedness can be restored, and eating can become linked to appetite rather than to self-protection.
A FrameNet-Based Semantic Role Labeler for Swedish

We present a FrameNet-based semantic role labeling system for Swedish text. As training data for the system, we used an annotated corpus that we produced by transferring FrameNet annotation from the English side to the Swedish side in a parallel corpus. In addition, we describe two frame element bracketing algorithms that are suitable when no robust constituent parsers are available. We evaluated the system on a part of the FrameNet example corpus that we translated manually, and obtained an accuracy score of 0.75 on the classification of presegmented frame elements, and precision and recall scores of 0.67 and 0.47 for the complete task.
Tropical Cyclones and Global Climate Change: A Post-IPCC Assessment

Abstract The very limited instrumental record makes extensive analyses of the natural variability of global tropical cyclone activities difficult in most of the tropical cyclone basins. However, in the two regions where reasonably reliable records exist (the North Atlantic and the western North Pacific), substantial multidecadal variability (particularly for intense Atlantic hurricanes) is found, but there is no clear evidence of long-term trends. Efforts have been initiated to use geological and geomorphological records and analysis of oxygen isotope ratios in rainfall recorded in cave stalactites to establish a paleoclimate of tropical cyclones, but these have not yet produced definitive results. Recent thermodynamical estimation of the maximum potential intensities (MPI) of tropical cyclones shows good agreement with observations. Although there are some uncertainties in these MPI approaches, such as their sensitivity to variations in parameters and failure to include some potentially important interac.
Survey on Models and Techniques for Root-Cause Analysis

Automation and computer intelligence to support complex human decisions becomes essential to manage large and distributed systems in the Cloud and IoT era. Understanding the root cause of an observed symptom in a complex system has been a major problem for decades. As industry dives into the IoT world and the amount of data generated per year grows at an amazing speed, an important question is how to find appropriate mechanisms to determine root causes that can handle huge amounts of data or may provide valuable feedback in real-time. While many survey papers aim at summarizing the landscape of techniques for modelling system behavior and infering the root cause of a problem based in the resulting models, none of those focuses on analyzing how the different techniques in the literature fit growing requirements in terms of performance and scalability. In this survey, we provide a review of root-cause analysis, focusing on these particular aspects. We also provide guidance to choose the best root-cause analysis strategy depending on the requirements of a particular system and application.