Miracle-dz/UniFAR-FTUs huggingface dataset:
Judges’ socio-technical review of contested expertise

This article investigates how civil court judges practice meta-expertise in cases that feature contradictory and inconclusive medical expertise. The empirical case study consists of a sample of eleven Helsinki district court verdicts from 2014–2017, drawn from a larger number of similar traffic insurance compensation cases. The case-type features a medical controversy concerning traumatic brain injury (TBI) diagnostics. I contend that the difficulties judges face in evaluating the medical expertise result from epistemic asymmetries between legal and medical professionals. This study highlights the importance of explaining and understanding how judges overcome uncertainty and discriminate between expert positions. Drawing from earlier studies on meta-expertise and judges’ practice of evaluating expertise in court, I introduce the concept ‘socio-technical review’ to describe judges’ practice of facilitating highly technical and esoteric scientific expertise to needs of judicial decision making. I argue that socio-technical review is a special form of practicing meta-expertise, which effectively allows meta-experts to manage epistemic asymmetries. In examining how meta-expertise is practiced in the TBI case-type, the paper contributes to general sociological understanding of decision-making under uncertainty and suggests further studies in comparable settings.
Prevalence of depressive and anxiety disorders in a Brazilian outpatient sample of menopausal women

Objective: To determine the prevalence of depressive and anxiety disorders in women receiving care in a menopause clinic. Methods: Eighty-six women receiving care in the menopause clinic at Instituto de Ginecologia da Universidade Federal do Rio de Janeiro were assessed using the Mini-International Neuropsychiatric Interview. Results: Most women had a psychiatric diagnosis (57%); generalized anxiety disorder (34.9%) and major depression (31.4%) were the most prevalent disorders. The group composed of subjects with any disorder was represented by young and married women, with lower schooling level and family history for psychiatric disorders. Conclusion: In our study, there was a high prevalence of psychiatric disorders in outpatient women receiving care in a menopause clinic, in relation to women receiving care in other outpatient clinics, as described in the literature. There was also a high prevalence of comorbid diseases (55.5% of patients with any disorder) complicating the primary disorder, which may compromise the prognosis due to lack of early specific treatment.
Using Language Learner Data for Metaphor Detection

This article describes the system that participated in the shared task on metaphor detection on the Vrije University Amsterdam Metaphor Corpus (VUA). The ST was part of the workshop on processing figurative language at the 16th annual conference of the North American Chapter of the Association for Computational Linguistics (NAACL2018). The system combines a small assertion of trending techniques, which implement matured methods from NLP and ML; in particular, the system uses word embeddings from standard corpora and from corpora representing different proficiency levels of language learners in a LSTM BiRNN architecture. The system is available under the APLv2 open-source license.
Disease Progression in Early Onset Alzheimer ’ s Dementia Over a Period of 1 Year using 18 F-FDG-PET – A Case Based Approach

Alzheimer’s Dementia (AD) is a progressive neurodegenerative disorder and is one of the most common causes of dementia in older adults. The pathology of AD is characterized by intracellular neurofibrillary tangles and amyloid plaques in the extracellular space. Herein, we describe a case of a 51-year-old woman who complained of behavioural changes and memory loss which led to a diagnosis suggestive of dementia.18F-FDG-PET brain scan was performed to evaluate and study the pathological changes and confirm the diagnosis. It showed hypometabolism in precuneus, posterior cingulate cortex, angular gyrus, supramarginal gyrus and medial temporal cortex. A diagnosis of young onset dementia was made. Over next one year, despite standard treatment there was rapid progression of dementia. A battery of tests was performed which included mini mental state examination (MMSE), Addenbrooke’s Cognitive Examination (ACE), biochemical tests, 2D Echocardiography and color Doppler study. On MMSE she scored 10 while on ACE she scored 42. The repeat 18F-FDG-PET scan showed severe deterioration in brain glucose metabolism indicating an accelerated progression of early onset AD. This also correlated with deterioration in patient’s clinical symptoms. This is a unique case as it describes the use of 18F-FDG-PET as an early biomarker for diagnosis of early onset AD and demonstrates the rapid progression of brain pathology in early onset AD. This case highlights the importance of diagnosis of AD in its initial stages which will facilitate better management.
A Demonstration of PERC: Probabilistic Entity Resolution With Crowd Errors

This paper demonstrates PERC --- our system for crowdsourced entity resolution with human errors. Entity Resolution (ER) is a critical step in data cleaning and analytics. Although many machine-based methods existed for ER task, crowdsourcing is becoming increasingly important since humans can provide more insightful information for complex tasks, e.g., clustering of images and natural language processing. However, human workers still make mistakes due to lack of domain expertise or seriousness, ambiguity, or even malicious intent. To this end, we present a system, called PERC (probabilistic entity resolution with crowd errors), which adopts an uncertain graph model to address the entity resolution problem with noisy crowd answers. Using our framework, the problem of ER becomes equivalent to finding the maximum-likelihood clustering. In particular, we propose a novel metric called "reliability" to measure the quality of a clustering, which takes into account both the connected-ness inside and across all clusters. PERC then automatically selects the next question to ask the crowd that maximally increases the "reliability" of the current clustering. This demonstration highlights (1) a reliability-based next crowd-sourcing framework for crowdsourced ER, which does not require any user-defined threshold, and no apriori information about the error rate of the crowd workers, (2) it improves the ER quality by 15% and reduces the crowdsourcing cost by 50% compared to state-of-the-art methods, and (3) its GUI can interact with users to help them compare different crowdsourced ER algorithms, their intermediate ER results as they progress, and their selected next crowdsourcing questions in a user-friendly manner. Our demonstration video is at: https://www.youtube. com/watch? v=rQ7nu3b8zXY.
Unsupervised Detection of Metaphorical Adjective-Noun Pairs

Metaphor is a popular figure of speech. Popularity of metaphors calls for their automatic identification and interpretation. Most of the unsupervised methods directed at detection of metaphors use some hand-coded knowledge. We propose an unsupervised framework for metaphor detection that does not require any hand-coded knowledge. We applied clustering on features derived from Adjective-Noun pairs for classifying them into two disjoint classes. We experimented with adjective-noun pairs of a popular dataset annotated for metaphors and obtained an accuracy of 72.87% with k-means clustering algorithm.
The return of JedAI: End-to-End Entity Resolution for Structured and Semi-Structured Data

JedAI is an Entity Resolution toolkit that can be used in three ways: (i) as an open-source library that combines state-of-the-art methods into a plethora of end-to-end workflows, (ii) as a user-friendly desktop application with a wizardlike interface that provides complex, out-of-the-box solutions even to lay users, and (iii) as a workbench for comparing the performance of numerous workflows over both structured and semi-structured data. Here, we present its significant upgrade, JedAI 2.0, which enhances the original version in three important respects: (i) time efficiency , as the running time has been drastically reduced with the use of high performance data structures and multi-core processing, (ii) effectiveness , since we enriched its library with more established methods, a new layer that exploits loose schema binding as well as the automatic, data-driven configuration of individual methods or entire workflows, and (iii) usability , as the GUI now enables users to manually configure any method based on concrete guidelines, to store the matching results into any of the supported data formats and to visually explore both input and output data.
Metadata of the chapter that will be visualized in SpringerLink

Better conversational alignment can lead to shared understanding, changed beliefs, and increased rapport. We investigate the relationship in peer tutoring of convergence, interpersonal rapport, and student learning. We develop an approach for computational modeling of convergence by accounting for the horizontal richness and time-based dependencies that arise in non-stationary and noisy longitudinal interaction streams. Our results, which illustrate that rapport as well as convergence are significantly correlated with learning gains, provide guidelines for development of peer tutoring agents that can increase learning gains through subtle changes to improve tutor-tutee alignment. Fine-Grained Analyses of Interpersonal Processes and Their Effect on Learning Tanmay Sinha(B) and Justine Cassell ArticuLab, Carnegie Mellon University, Pittsburgh, PA 15213, USA tanmays@andrew.cmu. edu, justine@cs.cmu. edu Abstract. Better conversational alignment can lead to shared understanding, changed beliefs, and increased rapport. We investigate the relationship in peer tutoring of convergence, interpersonal rapport, and student learning. We develop an approach for computational modeling of convergence by accounting for the horizontal richness and time-based dependencies that arise in non-stationary and noisy longitudinal interaction streams. Our results, which illustrate that rapport as well as convergence are significantly correlated with learning gains, provide guidelines for development of peer tutoring agents that can increase learning gains through subtle changes to improve tutor-tutee alignment. Better conversational alignment can lead to shared understanding, changed beliefs, and increased rapport. We investigate the relationship in peer tutoring of convergence, interpersonal rapport, and student learning. We develop an approach for computational modeling of convergence by accounting for the horizontal richness and time-based dependencies that arise in non-stationary and noisy longitudinal interaction streams. Our results, which illustrate that rapport as well as convergence are significantly correlated with learning gains, provide guidelines for development of peer tutoring agents that can increase learning gains through subtle changes to improve tutor-tutee alignment.
Loss of Protein Phosphatase 1 Regulatory Subunit PPP1R3A Promotes Atrial Fibrillation.

BACKGROUND Abnormal calcium (Ca2+) release from the sarcoplasmic reticulum (SR) contributes to the pathogenesis of atrial fibrillation (AF). Increased phosphorylation of two proteins essential for normal SR-Ca2+ cycling, the type-2 ryanodine receptor (RyR2) and phospholamban (PLN), enhances the susceptibility to AF, but the underlying mechanisms remain unclear. Protein phosphatase 1 (PP1) limits steady-state phosphorylation of both RyR2 and PLN. Proteomic analysis uncovered a novel PP1-regulatory subunit (PPP1R3A) in the RyR2 macromolecular channel complex which has been previously shown to mediate PP1 targeting to PLN. We tested the hypothesis that reduced PPP1R3A levels contribute to AF pathogenesis by reducing PP1 binding to both RyR2 and PLN. METHODS Immunoprecipitation, mass spectrometry and complexome profiling were performed from AF patient atrial tissue and from cardiac lysates of WT and Pln-KO mice. Ppp1r3a-KO mice were generated by CRISPR-mediated deletion of exons 2-3. Ppp1r3a-KO mice and WT littermates were subjected to in vivo programmed electrical stimulation to determine AF susceptibility. Isolated atrial cardiomyocytes were used for STimulated Emission Depletion (STED) superresolution microscopy and confocal Ca2+ imaging. RESULTS Proteomics identified the PP1-regulatory subunit PPP1R3A as a novel RyR2-binding partner, and co-immunoprecipitation confirmed PPP1R3A binding to RyR2 and PLN. Complexome profiling and STED imaging revealed PLN is present in the PPP1R3A-RyR2 interaction, suggesting the existence of a previously unknown SR nanodomain composed of both RyR2 and PLN/SERCA2a macromolecular complexes. This novel RyR2/PLN/SERCA2a complex was also identified in human atria. Genetic ablation of Ppp1r3a in mice impaired binding of PP1 to both RyR2 and PLN. Reduced PP1 targeting was associated with increased phosphorylation of RyR2 and PLN, aberrant SR-Ca2+ release in atrial cardiomyocytes and enhanced susceptibility to pacing-induced AF. Finally, PPP1R3A was progressively downregulated in atria of patients with paroxysmal and persistent (chronic) AF. CONCLUSIONS PPP1R3A is a novel PP1-regulatory subunit within the RyR2 channel complex. Reduced PPP1R3A levels impair PP1 targeting and increase phosphorylation of both RyR2 and PLN. PPP1R3A deficiency promotes abnormal SR-Ca2+ release and increases AF susceptibility in mice. Given that PPP1R3A is downregulated in AF patients, this regulatory subunit may represent a new target for AF therapeutic strategies.
Repair potential of a new glass hybrid restorative system

Background: Repair of a failed amalgam or composite resin (CR) restoration has been extremely studied and proposed as a routine clinical treatment option; however, repair potential of glass ionomer-based restorative materials was not studied sufficiently in the literature. Aim: The aim of this study is to evaluate the repair potential of a glass hybrid (GH) restorative repaired either by the same material (GH) or CR after different surface treatments using microtensile bond strength (μTBS) test. Methods and Materials: One hundred and twenty bar-shaped (2 × 2 × 8 mm) GH blocks were prepared. After aging, the specimens were divided into two groups (n = 60) and five subgroups (n = 12). The specimens in Group I were repaired with the following protocols: (a) no treatment + GH, (b) diamond bur (B) + GH, (c) cavity conditioner + GH, (d) cavity conditioner + universal adhesive (A) + GH, (e) A + GH, and specimens in Group II were repaired with (a) no treatment + CR, (b) B + CR, (c) B + A + CR, (d) 40% phosphoric acid + A + CR, (e) A + CR. The specimens that were subjected to μTBS testing, scanning electron microscopy evaluations, and fracture modes were determined. Data were analyzed using Kruskal–Wallis and Mann–Whitney U tests (P = 0.05). Results: Repair using CR resulted in higher bond strengths (P < 0.001). The lowest bond strength was obtained in Group Ie. The highest bond strength was obtained when GH was roughened in Group IIc. Conclusion: Repair of restorative GH with CR appears as a preferred option to improve the bond strength.
Interval-Based Hybrid Dynamical System for Modeling Dynamic Events and Structures

ion Recognition Concepts Turing Machine Mode Switching Memory based state space State1 State3 Subjective Time Long-term context Discrete structure Metric state space State2 Objective Time as ordinal state transition Contin o s change Differential Equation Attractor time Symbol Grounding Realization u u Physical Phenomena Time as physical metric entity Robot Gesture Speech Sound Image Video Observation
In a mental-health care setting, can nature conservation and health priorities align?

ABSTRACT There is growing evidence that activities in nature could meet both health and nature conservation goals. Consequently, there is growing interest in collaborations between health and nature conservation organizations. However, interdisciplinary teamwork and collaborations risk failing through lack of common understanding and awareness of desired outcomes. For this project a multidisciplinary team was established and used a case study collaboration between a major conservation organization and health organization to examine perceptions of nature and assess the nature interventions desired by people in both sectors. We found a broad overlap in understanding of nature. However, there was a tendency for conservation outcomes to be overlooked, highlighting a potential risk of disengagement from the conservation partner. We recommend that health-conservation collaborations increase early communication and more strongly promote the interventions that provide tangible, physical benefits to nature.
Influence of navigation interaction technique on perception and behaviour in mobile virtual reality

In recent years the development of affordable virtual reality has opened up enormous possibilities for virtual rehabilitation, and the introduction of ultra-low cost mobile VR such as Google Cardboard has real potential to put virtual rehabilitation right into patient's homes. However, the limited interaction possibilities when a mobile phone is mounted into a headset mean that these devices are generally used for little more than passive viewing. In this paper we present an evaluation of three approaches to supporting navigation in mobile VR, and discuss some of the potential hazards and limitations.
A Multidisciplinary Approach toward High Throughput Label-Free Cytotoxicity Monitoring of Superparamagnetic Iron Oxide Nanoparticles

This paper focuses on cytotoxicity examination of superparamagnetic iron oxide nanoparticles (SPIONs) using different methods, including impedance spectroscopy. Recent advances of SPIONs for clinical and research applications have triggered the need to understand their effects in cells. Despite the great advances in adapting various biological and chemical methods to assess in-vitro toxicity of SPIONs, less attention has been paid on the development of a high throughput label-free screening platform to study the interaction between the cells and nanoparticles including SPIONs. In this paper, we have taken the first step toward this goal by proposing a label-free impedimetric method for monitoring living cells treated with SPIONs. We demonstrate the effect of SPIONs on the adhesion, growth, proliferation, and viability of neuroblastoma 2A (N2a) cells using impedance spectroscopy as a label-free method, along with other standard microscopic and cell viability testing methods as control methods. Our results have shown a decreased viability of the cells as the concentration of SPIONs increases with percentages of 59%, 47%, and 40% for 100 µg/mL (C4), 200 µg/mL (C5), 300 µg/mL (C6), respectively. Although all SPIONs concentrations have allowed the growth of cells within 72 h, C4, C5, and C6 showed slower growth compared to the control (C1). The growth and proliferation of N2a cells are faster in the absence or low concentration of SPIONS. The percent coefficient of variation (% CV) was used to compare cell concentrations obtained by TBDE assay and a Scepter cell counter. Results also showed that the lower the SPIONs concentration, the lower the impedance is expected to be in the sensing electrodes without the cells. Meanwhile, the variation of surface area (∆S) was affected by the concentration of SPIONs. It was observed that the double layer capacitance was almost constant because of the higher attachment of cells, the lower surface area coated by SPIONs. In conclusion, impedance changes of electrodes exposed to the mixture of cells and SPIONs offer a wide dynamic range (>1 MΩ using Electric Cell-substrate Impedance electrodes) suitable for cytotoxicity studies. Based on impedance based, viability testing and microscopic methods’ results, SPIONs concentrations higher than 100 ug/mL and 300 ug/mL cause minor and major effects, respectively. We propose that a high throughput impedance-based label-free platform provides great advantages for studying SPIONs in a cell-based context, opening a window of opportunity to design and test the next generation of SPIONs with reduced toxicity for biomedical or medical applications.
Perspectives on High School “Pay to Play” Sports Fee Policies: A Qualitative Study

BackgroundParticipation in high school athletics is associated with many physical and psychosocial benefits. School budget cuts and increased program costs have resulted in policies requiring student athletes to pay fees for sports participation. The purpose of this study was to explore the implementation and perception of these policies among state and district key informants. MethodsWe conducted an Internet search to compile a list of state and district athletic directors for study recruitment to participate in qualitative interviews. Twelve key informants were interviewed via telephone, digitally audio-recorded, and the conversations transcribed verbatim. Two team members coded transcripts and themes were identified and summarized. ResultsThe main reasons for implementing fee policies were increasing program costs, revenue loss or decreased school budget, and unsuccessful levy passage. The policies varied in fee structure and were reported by sport, by athlete, by year, or by family. Participants discussed fee waivers as a strategy to assist athletes unable to pay the sports participation fees. Waivers were most likely linked with federal poverty qualifications. ConclusionThe results from these interviews provided insights into sports participation policies in U.S. high schools. More information is needed to explore the consequences of these policies on high school sports participation as well as longer-term outcomes.
The Mediating Role of Work Engagement in the Relationship between Job Autonomy and Citizenship Performance

This study was aimed to examine the mediating effect of employee work engagement in the Job Autonomy-Organizational Citizenship Behavior (OCB) link. Drawing upon the Job Characteristics Theory (Hackman & Oldham, 1975) and the Social Exchange Theory (Blau, 1964), this study specifically examined the direct effect of Job Autonomy on OCB and the indirect effect of Job Autonomy on OCB through Work Engagement as the mediator. A total of 646 nursing and clinical employees holding non-supervisory jobs in 3 public hospitals in Malaysia participated in this study. Hierarchical multiple regression results indicated a statistically significant positive relationship between Job Autonomy and OCB. Work Engagement was found to partially mediate the relationships between Job Autonomy and OCB. Theoretical implications, limitations of the study and the directions for future research were discussed.
Assessment of vascular reactivity at different time-course on streptozotocin-induced diabetic rats -

Objective: Impairment of vascular reactivity in diabetes may be due to endothelium and/or vascular smooth muscle dysfunction. This study aimed to verify the role of endothelium and vascular smooth muscle in diabetes at different time-course after streptozotocin (STZ) administration. Method: Endothelium-intact and denuded aortic rings obtained from non-diabetic and diabetic rats at different time-course (1-4 weeks) were subjected to graded concentrations of potassium chloride (KCl) and phenylephrine (PE), L-NAME and indomethacin, respectively. Results: Vasoconstrictor responses (maximum contractility, Emax) to KCl in endothelium-intact and denuded aortic rings were significantly influenced at week 4 (P