Miracle-dz/UniFAR-FTUs huggingface dataset:
Psychosocial determinants for frequent primary health care utilisation in patients with heart failure

Objective: Psychosocial symptoms are common in patients with heart failure. Little research, however, has been done to determine which psychosocial factors influence primary care patients’ consultation frequency in the case of heart failure. Methods: We recruited 310 primary care patients with heart failure by analysing electronic patient records. At baseline, psychological distress (anxiety and depression; HADS), disease coping (FKV), negative affectivity and social inhibition (DS-14), disease-specific quality of life (MLHFQ) and social support (F-SozU) were measured by validated questionnaires. Severity of heart failure (according to NYHA-classification and Goldman’s Specific Activity Scale) and sociodemographic characteristics were documented by self-report instruments. Nine month later, patients were contacted by telephone in order to assess GP consultation frequency. Logistic regression was done to determine whether these psychological, medical and sociodemographic factors were associated with primary care utilisation. Results: On average, patients consulted their general practitioner (GP) 8.2 times during nine months. Female subjects and patients with higher levels of perceived heart failure severity, physical problems and anxiety or depression as well as those living alone visited their GP significantly more often. In multivariate analysis, frequent attendance in general practices was predicted by physical problems and living alone. These factors explained 11.6% of the variance of frequent attendance in general practices. Conclusion: Psychosocial factors of help-seeking behaviour in heart failure patients focus on mental and physical discomfort and a lonely home situation. These factors might need to be compensated by GP consultation. GPs should address the rearrangement of physical, mental, and social resources to strengthen self-reliance of patients with heart failure.
Heterogeneous Modulation of Place Cell Firing by Changes in Context

Hippocampal place cells show spatially localized activity that can be modulated by both geometric information (e.g., the distances and directions of features in the environment) and nongeometric information (e.g., colors, odors, and possibly behaviors). Nongeometric information may allow the discrimination of different spatial contexts. Understanding how nongeometric (or contextual) information affects hippocampal activity is important in light of proposals that the hippocampus may play a role in constructing a representation of spatial context. We investigated the contextual modulation of place cell activity by recording hippocampal place cells while rats foraged in compound contexts comprising black or white color paired with lemon or vanilla odor. Some cells responded to the color or odor changes alone, but most responded to varying combinations of both. Thus, we demonstrate, for the first time, that there is a heterogeneous input by contextual inputs into the hippocampus. We propose a model of contextual remapping of place cells in which the geometric inputs are selectively activated by subsets of contextual stimuli. Because it appears that different place cells are affected by different subsets of contextual stimuli, the representation of the entire context would require activity at the population level, supporting a role for the hippocampus in constructing a representation of spatial context.
An Empirical Study of Algebraic Reconstruction Techniques

We study empirically four algebraic-reconstruction techniques (ART methods): Kaczmarz’s method, Symmetric Kaczmarz, Randomized Kaczmarz, and Simultaneous ART (SART). The performance of these methods depends on a relaxation parameter, whose role has not been understood completely. We use a simple heuristic for finding a good relaxation parameter for each of these methods and investigate their behavior. From our numerical experiments, it appears that a good value for the relaxation parameter may not be dependent on the type and the size of the image.
How Undergraduates Are Affected by Service Participation.

Based on entering freshman and follow-up datacollected from 3,450 students (2,287 women and1,163 men) attending 42 institutions withfederally funded community service programs,the impact of community service participationon undergraduate student development wasexamined. Even after regression analysescontrolled for individual student characteristicsat the time of college entry, including thepropensity to engage in service, results indicatethat participating in service during the under-graduate years substantially enhances thestudent’s academic development, life skilldevelopment, and sense of civic responsibility.
Does the Users' Tendency to Seek Information Affect Recommender Systems' Performance?

Much work has been done on developing recommender system (RS) algorithms, on comparing them using business metrics (such as customers’ trust or perception of recommendations’ novelty) and on exploring users’ reactions to recommendations. It was demonstrated that different recommender systems perform differently on several performance metrics and that different users react differently to the same kind of recommendations. As a consequence, some scholars challenged to explore how users with different tendency to seek information during their purchasing process may react to different kind of recommendations. To the best of our knowledge, none of the prior works studied if users’ tendency to seek information has an effect on recommender systems’ performance. Different users may traditionally have different propensity to seek information and to receive suggestions and therefore they may react differently to the same recommendations. To this aim, we performed a live experiment with real customers coming from a European firm.
Reports of sexual abuse of children in state care: A comparison between children with and without intellectual disability

ABSTRACT Background Little is known about the nature and reactions to sexual abuse of children with intellectual disability (ID). The aim was to fill this gap. Method Official reports of sexual abuse of children with ID in state care were examined (N = 128) and compared with children without ID (N = 48). Results Clear signs of penetration or genital touching by male (adolescent) peers or (step/foster)fathers were found in most ID reports. Victims often received residential care and disclosed themselves. Type of perpetrator seemed to affect the nature and reaction to the abuse. Cases of children with and without ID seemed to differ in location and reports to police. Conclusions Screening of (foster)homes seems crucial. Residential facilities should find a balance between independence of children and protection. Care providers should be trained in addressing sexual issues and sexual education, accounting for different types of perpetrators (peers/adults). Uniform reporting guidelines are needed.
A Distributed Force-Directed Algorithm on Giraph: Design and Experiments

In this paper we study the problem of designing a distributed graph visualization algorithm for large graphs. The algorithm must be simple to implement and the computing infrastructure must not require major hardware or software investments. We design, implement, and experiment a force-directed algorithm in Giraph, a popular open source framework for distributed computing, based on a vertex-centric design paradigm. The algorithm is tested both on real and artificial graphs with up to million edges, by using a rather inexpensive PaaS (Platform as a Service) infrastructure of Amazon. The experiments show the scalability and effectiveness of our technique when compared to a centralized implementation of the same force-directed model. We show that graphs with about one million edges can be drawn in less than 8 minutes, by spending about 1\$ per drawing in the cloud computing infrastructure.
Evaluation of Crystallographic Data with the Program DIAMOND

The new crystal structure information system DIAMOND is presented. It handles all kinds of crystallographic databases on PCs including SHELX files and Chemical Information Files (CIF’s). DIAMOND, because of its graphics capability, is a powerful tool for establishing structural relationships and for evaluating crystallographic data.
ISOCAM observations of the rho Ophiuchi cloud: Luminosity and mass functions of the pre-main sequence embedded cluster

We present the results of the first extensive mid-infrared (IR) imaging survey of the rho Ophiuchi embedded cluster, performed with the ISOCAM camera on board the ISO satellite. The main molecular cloud L1688, as well as L1689N and L1689S, have been completely surveyed for point sources at 6.7 and 14.3 micron. A total of 425 sources are detected including 16 Class I, 123 Class II, and 77 Class III young stellar objects (YSOs). Essentially all of the mid-IR sources coincide with near-IR sources, but a large proportion of them are recognized for the first time as YSOs. Our dual-wavelength survey allows us to identify essentially all the YSOs with IR excess in the embedded cluster down to Fnu ~ 10 - 15 mJy. It more than doubles the known population of Class II YSOs and represents the most complete census to date of newly formed stars in the rho Ophiuchi central region. The stellar luminosity function of the complete sample of Class II YSOs is derived with a good accuracy down to L= 0.03 Lsun. A modeling of this lumino- sity function, using available pre-main sequence tracks and plausible star for- mation histories, allows us to derive the mass distribution of the Class II YSOs which arguably reflects the IMF of the embedded cluster. We estimate that the IMF in rho Ophiuchi is well described by a two-component power law with a low- mass index of -0.35+/-0.25, a high-mass index of -1.7 (to be compared with the Salpeter value of -1.35), and a break occurring at M = 0.55+/-0.25 Msun. This IMF is flat with no evidence for a low-mass cutoff down to at least 0.06 Msun.
An efficient spreading Epidemic Routing for Delay-Tolerant Network

Delay-Tolerant Network (DTN) is a network technology which can provide communication in an environment where an end-to-end path may not be possible. Over the past years, Epidemic Routing has been recognized as the DTN protocol that can deliver messages quickly by spreading messages from node to node all over the network. However, many pieces of research argue against using Epidemic Routing due to the large number of message exchanges. In this paper, we propose Speed Epidemic Routing (SEd), which is the renovation of Epidemic Routing scheme. By applying broadcast transmission, we can increase the speed of messages spreading and reduce forwarding redundant messages. The simulation results show that SEd is a protocol providing high delivery rate and low packet rate at the same time.
Perceptions of The Seriousness of Mispronunciations of English Speech Sounds

The present study attempts to investigate Indonesian EFL teachers' and native English speakers' perceptions of mispronunciations of English sounds by Indonesian EFL learners. For this purpose, a paper-form questionnaire consisting of 32 target mispronunciations was distributed to Indonesian secondary school teachers of English and also to native English speakers. An analysis of the respondents' perceptions has discovered that 14 out of the 32 target mispronunciations are pedagogically significant in pronunciation instruction. A further analysis of the reasons for these major mispronunciations has reconfirmed the prevalence of interference of learners native language in their English pronunciation as a major cause of mispronunciations. It has also revealed Indonesian EFL teachers' tendency to overestimate the seriousness of their learners' pronunciations. Based on these findings, the study makes suggestions for better English pronunciation teaching in Indonesia or other EFL countries.
Person-centred phenomenology: service user experiences of exercise

Purpose The purpose of this paper is to explore the lived experience of sport and exercise amongst a group of mental health service users. Participants were recruited from a north of England NHS mental health trust that was piloting a sport and exercise intervention for adults with mental health needs. Design/methodology/approach In depth semi-structured interviews were conducted with five mental health service users. The chosen phenomenological methodology was collaborative and interpretive. Findings Two essential themes were highlighted: “Intermittent health breaking through heavy clouds of illness” and “The cycle of recovery”. In addition, this person-centred research identified a number of intervention benefits beyond those relating to the impact of physical activity on mental health and wellbeing. The main findings are expressed using visual imagery which participants found expressed their perceptions and experiences better than written prose. This includes the way day-to-day illness impacts on the journey of health for people with mental health problems. Research limitations/implications The intervention looked to help the transition between leaving mental health services and developing a regular routine to promote recovery. The study illuminates the voices of service users and identifies that sport and exercise for mental health service users can be beneficial for recovery and feelings of belonging which can strengthen perceptions of the self. Originality/value Few studies have approached this methodological approach. This study demonstrates the value of phenomenological research with a collaborative, person-centred or indeed an involved patient focus. This collaborative approach enabled a shared understanding of the phenomena.
Particle filter target tracking method optimized by improved mean shift

In order to achieve effective dissemination of the particle set and to overcome the degradation of standard particle filter tracking. Particle filter target tracking algorithm which was optimalized by scale and orientation adaptive Mean shift is proposed. Considering improved mean shift as an optimization mechanism of particle propagation, the particles can be effectively dispersed and clustering, so it can effectively solve the degradation problems. Finally, this method is applied to real image sequences. Experiments show that the performance and efficiency of the algorithm is significantly better than the standard particle filter tracker.
Anomalous Magnetization Enhancement and Frustration in the Internal Magnetic Order on (Fe0.69Co0.31)B0.4 Nanoparticles

We have studied the internal magnetic order of 3-nm (Fe0.69Co0.31)0.6B0. 4 amorphous nanoparticles. These nanoparticles were dispersed in a non-magnetic matrix (non-interacting nanoparticles) to contrast them with the powder samples, where strong interparticle interactions are present. In similar fashion to the bulk alloy, this system exhibits a saturation magnetization maximum as a function of Fe composition near 69 at% Fe for the powder and dispersed samples at all temperatures. The saturation magnetization (MS) of the dispersed sample shows anomalous behavior, revealing frustration in the internal magnetic order of the particles. Unexpectedly, the MS of the non-interacting sample at low temperatures is larger than the corresponding bulk alloy or the calculated value of MS for the same Fe-Co composition. By contrast, the powder sample has low MS values and it is approximately constant in temperature.
The Adult Image Identification Based on Online Sampling

This paper presents a new adult image identification system. We propose the online skin tone sampling mechanism based on face detection. The object detection based on machine learning approach is used to locate the face region in the target image. According to the face color information, the skin chromatic distribution is extracted to detect the skin objects in the target image. The texture feature, coarseness, is also utilized to acquire the more accurate skin regions. Then, the back propagation neural network is used to integrate several low-level and reliable geometrical constraints into a classifier to inspect the skin regions further. Finally, the mug shot exclusion procedure is applied to promote the system performance. The experimental results show our method is satisfactory for adult image detection.
Overview of Recent SupercomputersAad

In this report we give an overview of parallel-and vector computers which are currently available or will become available within a short time frame from vendors; no attempt is made to list all machines that are still in the research phase. The machines are described according to their architectural class. Shared-and distributed memory SIMD-and MIMD machines are discerned. The information about each machine is kept as compact as possible. Moreover, no attempt is made to quote prices as these are often even more elusive than the performance of a system. This document reeects the technical state of the supercomputer arena as accurately as possible. However, the authors nor their employers take any responsibility for errors or mistakes in this document. We encourage anyone who has comments or remarks on the contents to inform us, so we can improve this work. 1 supports and furthers the advancement of technical and scientiic research with and into advanced computing facilities and prepares for the Netherlands national supercomputing policy. Advanced computing facilities are multi-processor vectorcomputers, massively parallel computingsystems of various architectures and concepts and advanced networking facilities.
Halophilic Bacteria as a Source of Novel Hydrolytic Enzymes

Hydrolases constitute a class of enzymes widely distributed in nature from bacteria to higher eukaryotes. The halotolerance of many enzymes derived from halophilic bacteria can be exploited wherever enzymatic transformations are required to function under physical and chemical conditions, such as in the presence of organic solvents and extremes in temperature and salt content. In recent years, different screening programs have been performed in saline habitats in order to isolate and characterize novel enzymatic activities with different properties to those of conventional enzymes. Several halophilic hydrolases have been described, including amylases, lipases and proteases, and then used for biotechnological applications. Moreover, the discovery of biopolymer-degrading enzymes offers a new solution for the treatment of oilfield waste, where high temperature and salinity are typically found, while providing valuable information about heterotrophic processes in saline environments. In this work, we describe the results obtained in different screening programs specially focused on the diversity of halophiles showing hydrolytic activities in saline and hypersaline habitats, including the description of enzymes with special biochemical properties. The intracellular lipolytic enzyme LipBL, produced by the moderately halophilic bacterium Marinobacter lipolyticus, showed advantages over other lipases, being an enzyme active over a wide range of pH values and temperatures. The immobilized LipBL derivatives obtained and tested in regio- and enantioselective reactions, showed an excellent behavior in the production of free polyunsaturated fatty acids (PUFAs). On the other hand, the extremely halophilic bacterium, Salicola marasensis sp. IC10 showing lipase and protease activities, was studied for its ability to produce promising enzymes in terms of its resistance to temperature and salinity.
Some Effects of Classical Feedback on the Classical Capacity of a Memoryless Quantum Channel

Classical feedback is defined here as the knowledge by the transmitter of the quantum state of the qubit received by the receiver. Such classical feedback doubles capacities of certain memoryless quantum channels without preexisting entanglement between transmitter and receiver. The increase in capacity, which is absent on classical memoryless channels, occurs because we can transform an entangled qubit pair into any other entangled state by applying a unitary operator to only one of the qubits.
An Implementation of the User-based Collaborative Filtering Algorithm

-Collaborative filtering algorithms (CFAs) are most popular recommender systems for collaborating one another to filter the documents they read from the last decade. CFAs have several features that make them different from other algorithms. The Classification accuracy is one among them. A user-based collaborative filtering algorithm is one of the filtering algorithms, known for their simplicity and efficiency. In the present paper a steady is conducted for its implementation and its efficiency in terms of prediction complexity
Plasticity Induced by Intermittent Theta Burst Stimulation in Bilateral Motor Cortices Is Not Altered in Older Adults

Numerous studies have reported that plasticity induced in the motor cortex by transcranial magnetic stimulation (TMS) is attenuated in older adults. Those investigations, however, have focused solely on the stimulated hemisphere. Compared to young adults, older adults exhibit more widespread activity across bilateral motor cortices during the performance of unilateral motor tasks, suggesting that the manifestation of plasticity might also be altered. To address this question, twenty young (<35 years old) and older adults (>65 years) underwent intermittent theta burst stimulation (iTBS) whilst attending to the hand targeted by the plasticity-inducing procedure. The amplitude of motor evoked potentials (MEPs) elicited by single pulse TMS was used to quantify cortical excitability before and after iTBS. Individual responses to iTBS were highly variable, with half the participants showing an unexpected decrease in cortical excitability. Contrary to predictions, however, there were no age-related differences in the magnitude or manifestation of plasticity across bilateral motor cortices. The findings suggest that advancing age does not influence the capacity for, or manifestation of, plasticity induced by iTBS.
A GRASP WITH PATH-RELINKING FOR PERMANENT VIRTUAL CIRCUIT ROUTING

A frame relay service offers virtual private networks to customers by provisioning a set of long-term private virtual circuits (PVCs) between customer endpoints on a large backbone network. During the provisioning of a PVC, routing decisions are made without any knowledge of future requests. Over time, these decisions can cause inefficiencies in the network and occasional offline rerouting of the PVCs is needed. In this paper, the offline PVC routing problem is formulated as an integer multicommodity flow problem with additional constraints and with an objective function that minimizes delays and network overload. We propose variants of a GRASP with path-relinking heuristic for this problem. Experimental results for realistic-size problems are reported, showing that the proposed heuristics are able to improve the solutions found with standard routing techniques. Moreover, the structure of our objective function provides a useful strategy for setting the appropriate value of its weight parameter, to achieve some quality of service (QoS) level defined by a desired maximum utilization rate.