Miracle-dz/UniFAR-FTUs huggingface dataset:
Ranking support for keyword search on structured data using relevance models

Keyword query processing over structured data has gained a lot of interest as keywords have proven to be an intuitive mean for accessing complex results in databases. While there is a large body of work that provides different mechanisms for computing keyword search results efficiently, a recent study has shown that the problem of ranking is much neglected. Existing strategies employ heuristics that perform only in ad-hoc experiments but fail to consistently and repeatedly deliver results across different information needs. We provide a principled approach for ranking that focuses on a well-established notion of what constitutes relevant keyword search results. In particular, we adopt relevance-based language models to consider the structure and semantics of keyword search results, and introduce novel strategies for smoothing probabilities in this structured data setting. Using a standardized evaluation framework, we show that our work largely and consistently outperforms all existing systems across datasets and various information needs.
“Am I Getting It or Not?” The Practices Involved in “Trying to Consume” a New Technology

In recent years, high rates of failure of technology-based products have spurred interest in understanding the psychological and sociological barriers to consumer learning of technological innovations. The main focus of this research was to examine the learning process and consumers’ coping mechanisms when they encounter technological innovations. A study was designed to understand the learning process in real time as consumers engaged in a set of activities associated with the novel interface. The goal was to investigate how consumers cope with high levels of complexity during their initial interactions with a technology-based product and how their coping strategies may hinder the learning process. Verbal protocol measures were used in order to understand the consumer's learning process as he or she interacts with a technology-based product in real time. They were told that they would have to think aloud while performing certain tasks and that their thoughts would be recorded for further analysis. The personal digital assistant (PDA) with handwriting recognition as its interface was chosen for this study. The main task for the participants was to learn how to use Graffiti writing—i.e., the product's handwriting recognition software. We proceeded to a thematic analysis in which interpretations were generated by the researchers going back and forth between the transcribed texts, the developing interpretation, the new interface itself, and also the relevant literature. The results suggest that the new product's interface serves to structure the consumer's learning process even as he or she responds in relatively unstructured ways. The findings identify three basic factors that interfere with the learning process during consumers’ initial interactions with a technological innovation: interface and functionality practices, social influence, and causal attributions. Specifically, the results suggest that in designing technology-based products there is a gap between the levels of know-how between the manufacturer and the user. The challenge for manufacturers is to understand the consumer's learning experience and coping strategies and provide mechanisms that would make the transition easy and intuitive. This could be achieved by incorporating into the new interface some degree of flexibility that will allow consumers to modify tasks based on their preferences, or by including indicators that will provide feedback to the user. Furthermore, in the context of communication strategies, in order to minimize the negative impact that prior knowledge and social influence may have on learning, marketers could communicate specific steps describing how to use the new interface.
Implantation of a novel telemetric intraocular pressure sensor in patients with glaucoma (ARGOS study): 1-year results.

PURPOSE We investigated the safety of a telemetric IOP sensor and the accuracy of its IOP measurements in six patients with open-angle glaucoma and cataract. METHODS The study design was a prospective, single-center clinical trial. Here we present 1-year follow-up data. A ring-shaped telemetric IOP sensor was implanted in the ciliary sulcus after implantation of the intracapsular lens, during planned cataract surgery. The sensor is encapsulated in silicone rubber and consists of a miniature device with eight pressure-sensitive capacitors and a circular microcoil antenna. IOP measurements are performed with a reader unit held in front of the eye. IOP is calculated as the differences between the absolute pressure inside the eye (pressure sensor) and that outside the eye (reader unit). RESULTS The sensor was successfully implanted in all patients. Four patients developed sterile anterior chamber inflammation that resolved completely within 9 days after surgery with anti-inflammatory treatment. All patients showed mild to moderate pupillary distortion and pigment dispersion after surgery. Telemetric IOP measurement was performed in all patients at all visits, and the patients successfully performed self-tonometry at home after receiving instructions. Telemetric IOP values showed similar profiles compared to those of Goldmann applanation tonometry (GAT). Three patients showed a relevant IOP step during follow-up, and in one patient, negative values were obtained throughout the study. CONCLUSIONS Despite early postoperative anterior chamber inflammation, the IOP sensor was well tolerated by all patients. We describe the first prospective clinical study of a noncontact IOP sensor that potentially enables continuous IOP monitoring in patients with glaucoma. The sensor shape and size needs to be adapted to avoid pupillary distortion and to confirm that IOP measurements are accurately recorded in comparison to those of GAT. ( www.germanctr.de; number DRKS00003335.).
Learning Combinatorial Interaction Test Generation Strategies Using Hyperheuristic Search

The surge of search based software engineering research has been hampered by the need to develop customized search algorithms for different classes of the same problem. For instance, two decades of bespoke Combinatorial Interaction Testing (CIT) algorithm development, our exemplar problem, has left software engineers with a bewildering choice of CIT techniques, each specialized for a particular task. This paper proposes the use of a single hyperheuristic algorithm that learns search strategies across a broad range of problem instances, providing a single generalist approach. We have developed a Hyperheuristic algorithm for CIT, and report experiments that show that our algorithm competes with known best solutions across constrained and unconstrained problems: For all 26 real-world subjects, it equals or outperforms the best result previously reported in the literature. We also present evidence that our algorithm's strong generic performance results from its unsupervised learning. Hyperheuristic search is thus a promising way to relocate CIT design intelligence from human to machine.
Initial analysis of EMG signals of hand functions associated to rehabilitation tasks

The objective of this work is to study the EMG signals based on hand motions for specified tasks, and different gripping conditions so as to identify patterns of EMG signals. This will allow therapists to identify weak muscles of patients with motor weakness, such as spinal cord injury (SCI) and post-stroke and concentrate on rehabilitation activities which can strengthen these specific muscles. At the same time, it is hoped that the analysis is able to provide useful data for objective and quantitative assessment towards control applications on the hand rehabilitation device, which is being developed. The analysis of the EMG signals for various hand muscles during functional motions and prehensile tasks has been carried out. The method to identify individual hand motions from EMG signals is described. The EMG signals associated to physical parameters are also illustrated in this paper. Finally, the preliminary works and future research are concluded.
Exchange Rate Risk , Contract Enforcement , and Trade — A Theoretical Investigation

It is commonly claimed that exchange rate risk depresses international trade. However, both theoretical and empirical contributions to the literature fail to offer conclusive support to this assertion. This paper reconciles the seemingly contradictory findings by pointing out the key interaction between the impact of exchange rate risk on trade and institutional quality, an aspect that has surprisingly been neglected so far. The trade effects of exchange rate risk are reconsidered in a setting with risk-neutral agents and imperfect contract enforcement. The level of enforcement is modelled as an exogenous probability that a defaulter is forced to execute his contract and can be thought of as a measure of institutional quality. An important implication of the analysis is the non-monotonicity of the association between the trade effects of exchange rate risk and level of contract enforcement. In particular, a clear distinction can be made among three cases. First, an increase in exchange rate risk dramatically inhibits trade when the institutional support for contract enforcement is sufficiently poor. Second, an increase in exchange rate risk encourages trade for some intermediate levels of contract enforcement. Third, for sufficiently high levels of contract enforcement the impact of exchange rate risk on trade is negligible.
An ultra-fuzzy model of aggregate growth in catastrophic risk potentials

Catastrophic loss potentials are characterized by very low probabilities of devastating (irreversible) damages. As a result of the complexities inherent in such exposures, and the limited availability of data, considerable uncertainties enter into their estimation and treatment. The difficulties increase when we consider the aggregation of such loss potentials. We suggest here that the growth of catastrophic loss potentials can be modeled using ultra-fuzzy sets, which capture the wide uncertainties involved. The ultra-fuzzy model has important implications for the way we manage high-stakes risks.
Preventing violence within organisations : a practical handbook

Occupational violence is a problem with significant legal, economic and emotional consequences for employers and individuals. This handbook focuses on the prevention of violence that arises within an organisation, that is, between a supervisor and an employee or between one employee and another. To this end, it outlines processes for risk identification, risk assessment and risk control and includes a series of possible policy, strategy, checklist documents as appendices.
Molecular Imaging of Hypoxia

A wide variety of imaging approaches have been developed in the past few decades for monitoring tumor oxygenation and hypoxia in vivo. In particular, nuclear medicine has seen the development of several radiolabeled hypoxia markers and is the preferred method for imaging of tumor hypoxia. Hypoxia imaging is increasingly being used in the clinical setting and is progressing from a mere detection method to application in individualization of chemoradiotherapy.
Genetics of Obesity and Type 2 Diabetes in African Americans

Obesity and type 2 diabetes are highly prevalent and lead to significant morbidity and mortality. In the United States, the impact of these conditions may be worse on historically underserved minorities, particularly African Americans. Genetic ancestry and differences in physiology are unlikely to be the sole or primary determinants of these disparities. In addition, research in this area has the ethically problematic possibility of conflating race with biology. Despite these important considerations and the challenges of conducting this work, population-based approaches for investigating the etiology of obesity and T2D may yield useful information about the pathophysiology of disease, and have implications that extend to all affected individuals. The purpose of this paper is to describe what is understood about the genetic variation that underlies obesity and T2D in African Americans and other individuals of more recent African descent and to highlight several examples that illustrate how ensuring adequate minority representation in genetic research improves its quality. For a variety of reasons a number of unique insights have been possible as a result of these efforts.
A markovian futures market for computing power

In this paper we describe aspects of a market model for Grid computing. In particular we concentrate on Grid computing provided by a peer-to-peer network architecture. In this network nodes can either buy or sell computing power in exchange for money. Building on previous publications we develop a mathematical market model using Markov chains. The behaviour of each agent in the market is described by a Markov chain of decisions on buying, selling or holding. Considering the contributions of all agents, we calculate the global Markov chain of the market state as a whole, by making use of a concept of market pressure that reduces the state space of the entire market model. We show that the Markov chain model describes the market behaviour seen in a simulation extremely well. In a similar way to other perishable commodity markets like fish and electricity, we also provide a model for trading future contracts on the purchase and sale of computing power in this market. Using Markov Decision Processes we derive an optimal trading strategy. This work introduces a pioneer mathematical model for future global peer-to-peer Grid computing architectures like MaGoG (Middleware for activating the Global open Grid), where we have derived a global transition probability matrix that determines the behaviour of the market by summing up the contributions of different kinds of market participants.
The Serving Supervisor: Supervisor Servant Leadership as a Protective Factor for Counseling Residents’ Burnout and Secondary Traumatic Stress

According to Stamm (2010), variables in counselors’ work environment, personal environment, and client environment precipitate the development of compassion fatigue. Compassion fatigue, which comprises secondary traumatic stress and burnout, is an occupational hazard for counselors, and new counselors are especially vulnerable. A supervisory style that exhibits servant leadership traits may provide necessary support and counteract compassion fatigue symptoms for counseling residents. Servant leadership shares many philosophical assumptions of the counseling profession and addresses the administrative challenges many clinical supervisors face today (Evans, Wright, Murphy, & Maki, 2016). A sample of 241 counseling residents participated in the study and completed several instruments. Data were analyzed with two structural equation models to identify the impact of the perceived servant leadership traits of supervisors on counseling residents’ compassion fatigue, burnout, and secondary traumatic stress with other relevant predictors. Limitations, avenues for future research, and implications for counselor education and supervision are discussed. COLLEEN M. L. GRUNHAUS COUNSELOR EDUCATION AND SUPERVISION WILLIAM AND MARY Running head: THE SERVING SUPERVISOR The Serving Supervisor: Supervisor Servant Leadership as a Protective Factor for Counseling Residents’ Burnout and Secondary Traumatic Stress THE SERVING SUPERVISOR
Functional Similarity between the Peroxisomal PTS2 Receptor Binding Protein Pex18p and the N-Terminal Half of the PTS1 Receptor Pex5p

ABSTRACT Within the extended receptor cycle of peroxisomal matrix import, the function of the import receptor Pex5p comprises cargo recognition and transport. While the C-terminal half (Pex5p-C) is responsible for PTS1 binding, the contribution of the N-terminal half of Pex5p (Pex5p-N) to the receptor cycle has been less clear. Here we demonstrate, using different techniques, that in Saccharomyces cerevisiae Pex5p-N alone facilitates the import of the major matrix protein Fox1p. This finding suggests that Pex5p-N is sufficient for receptor docking and cargo transport into peroxisomes. Moreover, we found that Pex5p-N can be functionally replaced by Pex18p, one of two auxiliary proteins of the PTS2 import pathway. A chimeric protein consisting of Pex18p (without its Pex7p binding site) fused to Pex5p-C is able to partially restore PTS1 protein import in a PEX5 deletion strain. On the basis of these results, we propose that the auxiliary proteins of the PTS2 import pathway fulfill roles similar to those of the N-terminal half of Pex5p in the PTS1 import pathway.
Real-Time User-Centric Management of Time-Intensive Analytics Using Convergence of Local Functions

The past decade has witnessed an astonishing growth in unstructured information in enterprises. The commercial value locked in enterprise unstructured information is being increasingly recognized. Accordingly, a range of textual document analytics—clustering, classification, taxonomy generation, provenance, etc.— have taken center stage as a potential means to manage this explosive growth in unstructured enterprise information, and unlock its value. Several analytics are time-intensive: the time taken to complete processing the increasingly large volumes of data is significantly more than real-time. However, users are increasingly demanding real-time services that rely on such time-intensive analytics. There is clearly a tension between the aforementioned two developments. In light of the preceding, vendors increasingly realize that while an analytic may take a longer time to converge, they need to extract useful information from it in real-time. Furthermore, this information has to be application-driven. In other words, it is often not an option to simply “wait until the analytic has finished running:” they must start providing the user with information while the analytic is still running. In summary, there is an emerging stress in Enterprise Information Management (EIM) on application-driven real-time information being extracted from time-intensive analytics. A priori, it is not clear what could be extracted from an analytic that has yet to complete, and whether any such information would be useful. As of the present, there is little or no research literature on this problem: it is generally assumed that all of the information from an analytic will be available upon its completion. We present an approach to this problem that is based on decomposing the objective function of the analytic, which is a global function that determines the progress of the analytic, into multiple local, user-centric functions. How can we construct meaningful local functions? How can such functions be measured? How do these functions evolve with time? Do these functions encode useful information that can be obtained real-time? These are the questions we will address in this paper. We demonstrate our approach using local functions on document clustering using the de facto standard algorithm—k-means. In this case, the multiple local user-centric functions transform k-means into a flow algorithm, with each local function measuring a flow. Our results show that these flows evolve very differently from the global objective function, and in particular, may often converge quickly at many local sites. Using this property, we are able to extract useful information considerably earlier than the time taken by k-means to converge to its final state. We believe that such pragmatic approaches will have to be taken in order to manage systems performing analytics on large volumes of unstructured data.
Socioeconomic Polarization and Personal Well-Being under Neoliberal Restructuring: Implications of South Korea after the 1997 Asian Financial Crisis.

Over the last three decades, the world has witnessed another fundamental institutional shift in the history of capitalist development. In the wake of the series of economic crises in the 1970s, the so-called neoliberalism and socioeconomic restructuring based on its tenets arose as a solution to the problems of stagflation and quickly spread across the globe thanks to its ideational and practical appeals. South Korea has not been an exception to the worldwide current of the neoliberal globalization and pursued the neoliberal restructuring since the early 1980s, but particularly actively after the 1997 Asian Financial Crisis. As a consequence of the comprehensive neoliberal structural adjustment based on free-market mechanisms, however, South Korea has experienced a substantial increase in inequality, poverty, and insecurity over the last decade or so. Against this context, I examine both the material and subjective aspects of personal well-being in order to seek the implications of the post-crisis neoliberal restructuring for the general welfare of the Korean society in particular, and other neoliberal countries in general. In the first substantive chapter, the association between education and rising earnings inequality in post-crisis South Korea is studied to measure how much of the increase in the post-crisis earnings inequality is due to diverging earnings returns to education. Second, the relationship between family wealth and household consumption is examined over the course of economic crisis and recovery in post-crisis South Korea, and I further investigate if possession of family wealth has a buffering effect on the level of household consumption over economic crisis. Lastly, the association between marital status and the level of life satisfaction is studied at the time of economic crisis as well as during the subsequent period of economic recovery. By examining the subjective aspect of personal well-being in relation to marital status in post- crisis South Korea, I evaluate if the “marriage premium” still holds positive even in the period of severe economic hardships. Based on these theoretical and empirical observations, I discuss in the concluding section a more viable form of capitalist development for the twenty-first century than the current neoliberal mode of globalization.
Reviewers ' comments : Reviewer #

The manuscript by Zhang et al titled "the immunoglobulin repertoire of chronically simian immunodeficiency virus infected African green monkeys" is really quite an impressive body of work. The authors define the features of the AGM immunoglobulin loci and utilize this information to understand and compare the virus-specific memory B cell responses of AGMs to both humans and SIV-infected rhesus macaques. The authors denote some interesting differences in the proportions of SIV/HIV-specific responses in AGMs compared to SIV-infected RMs and humans, with AGMs having a higher proportion of Env-specific responses. The authors went further to try to understand the effector function of these Env-specific Abs in AGM and found that while they were poor at neutralizing virus they were robust at mediating ADCC and CD4-dependent virion capture. This review appreciates the enormous effort and detail that went into this work and only has minor comments and/or concerns listed below.