Miracle-dz/UniFAR-FTUs huggingface dataset:
Research on the Influence of Perceiving Other Customer Support on Customer Citizenship Behavior

Customer citizenship behavior has a very good promotion effect on the enterprise operation. However, the past researches paid little attention to the influence of other customers. From the consumption scenario, the support of other customers will be closer to the actual consumer and increases the validity of the conclusions of the study. This study attempts to use customer commitment as an intermediary variable to explore the impact of perceiving the support of other customers on customer citizenship behavior. Through questionnaire surveys of clothing store customers, it is considered that perceiving other customer support has a significant positive impact on customer citizenship behavior and customer commitment plays an intermediary role.
Individuale e collettivo: quando i diritti dei lavoratori digitali corrono su due ruote

The article focuses on the food-delivery sector, underlining the reasons why this kind of digital work has become visible on the "city platform". The description of the collective bargaining started by Riders Union Bologna and the examination of the Charter of fundamental rights of digital work in the urban context signed in Bologna on 31 May 2018, in their individual and collective implications, are useful to clarify strengths and weakness of the first municipal trilateral territorial contract. The A. also provides guidance on the possible developments of the Italian legal system, starting from the need to update the reference cases of labour law.
Functional connectivity in fibromyalgia: a rBeta analysis

Fibromyalgia (FM) is a chronic syndrome associated with widespread pain, depression, anxiety and sleep disorders. Despite multiple functional magnetic resonance imaging (fMRI) studies documenting pain processing alterations in these patients, its central mechanisms remain unclear. In this paper a novel technique to analyze brain blood-oxygen-level dependent (BOLD) signals was used to study the resting state functional connectivity in FM patients and a matched group of healthy controls. Spontaneous resting BOLD event triggered averages (rBeta) were computed at key brain regions identified as relevant pain-related areas by previous work. Important alterations were found in the coordination of several brain regions. The magnitude of these changes is correlated to behavioral measures of overall pain and affective symptoms, highlighting the dual nature of fibromyalgia impact on the nervous system.
Minimal feedback to a rhythm generator improves the robustness to slope variations of a compass biped

In recent years there has been a growing interest in the field of dynamic walking and bio-inspired robots. However, while walking and running on a flat surface have been studied extensively, walking dynamically over terrains with varying slope remains a challenge. Previously we developed an open loop controller based on a central pattern generator (CPG). The controller applied predefined torque patterns to a compass-gait biped, and achieved stable gaits over a limited range of slopes. In this work, this range is greatly extended by applying a once per cycle feedback to the CPG controller. The terrain’s slope is measured and used to modify both the CPG frequency and the torque amplitude once per step. A multi-objective optimization algorithm was used to tune the controller parameters for a simulated CB model. The resulting controller successfully traverses terrains with slopes ranging from +7° to −8°, comparable to most slopes found in human constructed environments. Gait stability was verified by computing the linearized Poincaré Map both numerically and analytically.
J un 2 00 8 Dynamics of Planetary Systems in Star Clusters

At least 10-15% of nearby sun-like stars have known Jupiter-mass planets. In contrast, very few planets are found in mature open and globular clusters such as the Hyades and 47 Tuc. We explore here the possibility that this dichotomy is due to the post-formation disruption of planetary systems associated with the stellar encounters in long-lived clusters. One supporting piece of evidence for this scenario is the discovery of freely floating low-mass objects in star forming regions. We use two independent numerical approaches, a hybrid Monte Carlo and a direct N-body method, to simulate the impact of the encounters. We show that the results of numerical simulations are in reasonable agreement with analytical determinations in the adiabatic and impulsive limits. They indicate that distant stellar encounters generally do not significantly modify the compact and nearly circular orbits. However, moderately close stellar encounters, which are likely to occur in dense clusters, can excite planets' orbital eccentricity and induce dynamical instability in systems which are closely packed with multiple planets. The disruption of planetary systems occurs primarily through occasional nearly parabolic, non adiabatic encounters, though eccentricity of the planets evolves through repeated hyperbolic adiabatic encounters which accumulate small-amplitude changes. The detached planets are generally retained by the potential of their host clusters as free floaters in young stellar clusters such as σ Orionis. We compute effective cross sections for the dissolution of planetary systems and show that, for all initial eccentricities, dissolution occurs on time scales which are longer than the dispersion of small stellar associations, but shorter than the age of typical open and globular clusters. Although it is much – 2 – more difficult to disrupt short-period planets, close encounters can excite modest eccentricity among them, such that subsequent tidal dissipation lead to orbital decay, tidal inflation, and even disruption of the close-in planets.
Towards the Novel Reasoning among Particles in PSO by the Use of RDF and SPARQL

The significant development of the Internet has posed some new challenges and many new programming tools have been developed to address such challenges. Today, semantic web is a modern paradigm for representing and accessing knowledge data on the Internet. This paper tries to use the semantic tools such as resource definition framework (RDF) and RDF query language (SPARQL) for the optimization purpose. These tools are combined with particle swarm optimization (PSO) and the selection of the best solutions depends on its fitness. Instead of the local best solution, a neighborhood of solutions for each particle can be defined and used for the calculation of the new position, based on the key ideas from semantic web domain. The preliminary results by optimizing ten benchmark functions showed the promising results and thus this method should be investigated further.
Methylthioadenosine phosphorylase gene deletions are common in osteosarcoma.

PURPOSE Methylthioadenosine phosphorylase (MTAP) is an enzyme essential in the salvage of cellular adenine and methionine synthesis. The MTAP gene is located in the 9p21 chromosomal region and its loss is frequently associated with deletion of the tumor suppressor genes p15(INK4b) and p16(INK4a). The aim of this study was to investigate the frequency of molecular alterations in MTAP in osteosarcoma. EXPERIMENTAL DESIGN Samples from patients with high-grade osteosarcoma (n = 96) and three osteosarcoma cell lines (HOS, SaOS-2, and U2OS) were analyzed. Genomic DNA was analyzed for MTAP gene deletions by PCR, RNA expression was measured by semiquantitative reverse transcription-PCR, and the protein levels were measured by immunohistochemistry. RESULT Deletion of at least one MTAP exon was found in 36 of 96 (37.5%) osteosarcoma patient samples and in one of the three cell lines (HOS). In all cases in which an MTAP gene deletion was observed, there was absence of detectable mRNA and protein. Furthermore, in four osteosarcoma patients, an MTAP deletion which was not evident at diagnosis was detected in subsequent tumor samples. CONCLUSIONS The MTAP gene is commonly deleted in osteosarcoma patient samples, leading to an absence of mRNA and protein expression; these results indicate that inhibitors of de novo purine synthesis or methionine depletion may be effective as treatments for osteosarcoma patients whose tumors fail to express MTAP.
Mining Mobile Sequential Patterns in a Mobile Commerce Environment

In this paper, we explore a new data mining capability for a mobile commerce environment. To better reflect the customer usage patterns in the mobile commerce environment, we propose an innovative mining model, called mining mobile sequential patterns, which takes both the moving patterns and purchase patterns of customers into consideration. How to strike a compromise among the use of various knowledge to solve the mining on mobile sequential patterns is a challenging issue. We devise three algorithms (algorithm TJLS, algorithm TJPT, and algorithm TJPF) for determining the frequent sequential patterns, which are termed large sequential patterns in this paper, from the mobile transaction sequences. Algorithm TJLS is devised in light of the concept of association rules and is used as the basic scheme. Algorithm TJPT is devised by taking both the concepts of association rules and path traversal patterns into consideration and gains performance improvement by path trimming. Algorithm TJPF is devised by utilizing the pattern family technique which is developed to exploit the relationship between moving and purchase behaviors, and thus is able to generate the large sequential patterns very efficiently. A simulation model for the mobile commerce environment is developed, and a synthetic workload is generated for performance studies. In mining mobile sequential patterns, it is shown by our experimental results that algorithm TJPF significantly outperforms others in both execution efficiency and memory saving, indicating the usefulness of the pattern family technique devised in this paper. It is shown by our results that by taking both moving and purchase patterns into consideration, one can have a better model for a mobile commerce system and is thus able to exploit the intrinsic relationship between these two important factors for the efficient mining of mobile sequential patterns
Multidimensional disadvantages and educational aspirations of marginalised migrant youth: insights from the Global South

ABSTRACT This article provides a Global South perspective on marginalised migrant youth and higher educational aspirations, with a specific focus on South Africa. We use data from a case study in Johannesburg to illustrate how marginalised migrant youth experience particular forms of disadvantage in their endeavours to realise their educational aspirations. Yet, educational opportunities and the achievement of educational aspirations may enhance dimensions important for individual wellbeing. Through education, marginalised migrant youth become better positioned to pursue what they have reason to value, including escaping poverty in both their home and host countries. Using the human development and capability lens, the paper also presents what the disadvantages experienced by marginalised migrant youth may mean for human development. We argue that constrained educational aspirations can result in corrosive disadvantage and ultimately systemic poverty. We conclude the paper by highlighting how the capability approach (CA) could be used to inform social and educational policies in contexts of marginalisation.
Active exploration of joint dependency structures

Being able to manipulate degrees of freedom of the environment, such as doors or drawers, is a requirement for most tasks a robot is supposed to perform. Often these external degrees of freedom depend on other ones, e.g., a drawer can only be opened if the lock is not locking the joint. We propose an approach to autonomously and efficiently explore and uncover joint dependency structures. We develop a probabilistic model for joint dependency structures which is the basis for active learning. Discontinuities in the dynamics of the joint, which often indicate key points of the joint, are used to segment the joint space into meaningful segments which then allows efficient exploration with the developed maximum cross-entropy (MaxCE) exploration strategy. Experiments in a simulated environment and on a real PR2 suggest that the proposed approach yields efficient exploration of joint dependency structures.
CHORD DETECTION METHOD FOR MIREX 2008

We submit a method for the MIREX 2008 task “Audio Chord Detection”. The method uses a 24-state HMM consisting of 12 states for both major and minor triads. The observation likelihoods are computed by mapping the pitch saliences into a pitch-class representation and comparing them with trained profiles for major and minor chords. Probabilities of between-chord transitions are estimated from training data and Viterbi decoding is used to find a path through the chord models.
Efficient selection of relay vehicles for broadcasting on vehicular ad-hoc networks

In the high-speed mobility environment of Vehicular Ad-hoc Networks (VANETs), frequent out-of-range failure transmissions due to the change of relative speeds may decrease the reachability of safety message broadcasting. In this paper, we derive the failure transmission probability for Directional Broadcast (DIB) protocol to investigate the effects of relative speed between the sender and the receiver on out-of-range failure transmissions. We then propose the Enhanced Directional Broadcast (EDIB) based on DIB protocol to reduce the occurrences of failure transmissions. In EDIB protocol, when we select the vehicles to rebroadcast warning messages, we pick the farthest vehicle from the vehicles that could receive warning messages completely with high probability according to the relative speeds between the sender and the receiving vehicles. Besides, we utilize the Distance Defer Transmission (DDT) protocol to reduce the relay vehicle selection time during multi-hop broadcasting transmissions. We also conduct simulation experiments to show the performance of EDIB protocol compared with DIB. Our results indicate that although the number of relay operations in our EDIB protocol is higher than that in the DIB protocol, EDIB outperforms DIB in terms of the transmission reachability, the single-hop transmission time, and the relay vehicle selection time.
Epistemic logic and logical omniscience II: A unifying framework

In a published paper entitled Epistemic Logic and Logical Omniscience: A Survey (Int J Intell Syst 1997, 12, 57–81) a collection of epistemic logics were reviewed and critiqued. This sequel paper provides evidence for the claim that a unifying framework for various existing epistemic logics can be defined. Of particular interest is the logic of implicit and explicit belief, the logic of awareness, and the Cadoli–Schaerf epistemic model. Although these logics appear to have surface dissimilarities, a closer examination shows that they have a strong resemblance. The contribution of this paper is to show that a unifying framework MEL (multi‐valued epistemic logic) that integrates the features of these three logics can be defined. In this paper, it is proven that the semantics of MEL subsumes the semantics of the logic of implicit and explicit belief, the logic of awareness, and the Cadoli–Schaerf epistemic model. By placing some constraints on MEL, various epistemic notions such as implicit belief, explicit belief, and awareness can be modeled. ©2000 John Wiley & Sons, Inc.
Reading News with Maps: The Power of Searching with Spatial Synonyms

The NewsStand system is an example application of a general framework that we are developing to enable people to search for information using a map query interface, where the information results from monitoring the output of over 8,000 RSS news sources and is available for retrieval within minutes of publication. The advantage of doing so is that a map, coupled with an ability to vary the zoom level at which it is viewed, provides an inherent granularity to the search process that facilitates an approximate search. This distinguishes it from today’s prevalent keyword-based conventional search methods that provide a very limited facility for approximate searches which are realized primarily by permitting a match via use of a subset of the keywords. However, it is often the case that users do not have a firm grasp of which keyword to use, and thus would welcome the capability for the search to also take synonyms into account. In the case of queries to spatially-referenced data, the map query interface is a step in this direction as the act of pointing at a location (e.g., by the appropriate positioning of a pointing device) and making the interpretation of the precision of this positioning specification dependent on the zoom level is equivalent to permitting the use of spatial synonyms. The issues that arise in the design of such a system including the identification of words that correspond to geographic locations are discussed, and examples are provided of the utility of the approach, thereby representing a step forward in the emerging field of computational journalism.
Warm Inflation

Abstract: I show here that there are some interesting differences between the predictions of warm and cold inflation models focusing in particular upon the scalar spectral index ns and the tensor-to-scalar ratio r. The first thing to be noted is that the warm inflation models in general predict a vanishingly small value of r. Cold inflationary models with the potential V = M4 (φ/MP) p and a number of e-folds N = 60 predict δnsC ≡ 1− ns ≈ (p + 2) /120, where ns is the scalar spectral index, while the corresponding warm inflation models with constant value of the dissipation parameter Γ predict δnsW = [(20 + p) / (4 + p)] /120. For example, for p = 2 this gives δnsW = 1. 1δnsC. The warm polynomial model with Γ = V seems to be in conflict with the Planck data. However, the warm natural inflation model can be adjusted to be in agreement with the Planck data. It has, however, more adjustable parameters in the expressions for the spectral parameters than the corresponding cold inflation model, and is hence a weaker model with less predictive force. However, it should be noted that the warm inflation models take into account physical processes such as dissipation of inflaton energy to radiation energy, which is neglected in the cold inflationary models.
Stress, anxiety, and depression among medical students in a multiethnic setting

Background Contemporary literature suggests that medical education might adversely affect students’ mental health. Alfaisal University in Riyadh, Saudi Arabia is a developing institution; hence, there has been a concern regarding the mental well-being of the students. Objectives This study was designed to assess the traits of depression, anxiety, and stress among students in relation to potential underlying reasons. Methods All 575 medical students across the 5 years of study participated by filling out the Depression, Anxiety, and Stress Scale-21 (DASS-21) questionnaire anonymously twice. Firstly, 2–3 weeks before a major examination (pre-examination), and secondly, during regular classes (post-examination). Correlation was sought regarding sex, year of scholarship, attendance of a premedical university preparatory program (UPP), housing, and smoking. Subjective comments from students were also obtained. Results A total of 76.8% and 74.9% of students participated in pre-and post-examination groups, respectively. The majority were the children of expatriate workers in Saudi Arabia, and included Arabs, South Asians, and North Americans. Prevalence of depression, anxiety, and stress was high (43%, 63%, and 41%, respectively) which reduced (to 30%, 47%, and 30%, respectively) to some extent after examinations. Saudis and those who had attended UPP had higher DASS-21 scores. Smoking and female sex predicted higher levels of “baseline” depression, anxiety, or stress. The students perceived the curriculum and schedule to be the primary causes of their high DASS-21 scores. Conclusion The students had high “baseline” traits of depression, anxiety, and stress, and these were higher if an examination was near, especially among Saudis and those who had attended UPP. Smoking and female sex predicted higher levels of “baseline” depression, anxiety, or stress. Students suggested that study burden and a busy schedule were the major reasons for their high DASS-21 scores.
Automatic image classification from Cherenkov telescopes using Bayesian ensemble of neural networks

The problem of identifying cosmic gamma ray events out of charged cosmic ray background in Cherenkov telescopes is one of the key problems in Very High Energy gamma ray astronomy. Separation between gamma-like and hadron-like events is performed by a Bayesian ensemble of neural networks and Markov chain Monte Carlo methods for model parameters optimization. The results are discussed in terms of the energy of the primaries and a complete study is made by using various data representation methods with different levels of feature reduction. Our classifier clearly outperforms the results obtained using standard feedforward neural networks, and its performance is comparable with random forests, which is actually used in data analysis of the MAGIC Cherenkov telescope. Regarding the energy of the primaries, it achieves very promising results in terms of classification accuracy with low energy events, the most difficult and unexplored energy range which will be a major issue in future explorations.
Correlation between hand grip strength and nutritional status in elderly patients

The process of aging impacts the function of the human body. Sarcopenia can cause frailty, which leads to changes in energy balance due to malnutrition, and it can progress if not treated properly. Hand grip strength is well known to be associated with several conditions in elderly, such as sarcopenia and frailty. We determined the correlation between hand grip strength and nutritional status in a cross-sectional study of 98 geriatric patients conducted between January and September 2016. Hand grip strength and nutritional status were measured. Median hand grip strength was 18. Six patients (6.1%) suffered malnutrition, 59 (60.2%) were at risk for malnutrition, and 33 (33.7%) had normal nutritional status. Based on Pearson correlation test, hand grip strength was correlated with nutritional status (P = 0.008, r = 0.268).
Diversity in totality: A study of diversity disclosures by New Zealand stock exchange listed companies

Abstract This study explores diversity reporting by New Zealand Stock Exchange (NZX) listed companies, arguing that diversity goes beyond gender and includes differences in age, ethnicity, sexuality, religious beliefs and physical disability. We argue that gender diversity and deep diversity elements (race, age, sexual orientation, disabilities, ethnicity) have a synergistic relationship and that gender diversity objectives cannot be achieved without attaining diversity objectives in these other elements and vice versa. Designing a 30-item diversity disclosures index, this study undertakes a content analysis of the diversity-related disclosures made by 152 NZX listed companies. Analysing diversity-related disclosures in annual and sustainability reports, we find that the NZX listed companies predominantly relate diversity only to board gender diversity. Deep diversity elements at all organisational levels, however, do not receive much attention, with a few exceptions. Our results highlight that female representation on organisational boards has a positive impact on overall organisational gender and other diversity aspects and vice versa. The results of an emphasis on the totality of diversity have important implications for boards of directors, corporate managers and regulators interested in improving the corporate governance and diversity practices in New Zealand organisations.