Miracle-dz/UniFAR-FTUs huggingface dataset:
Designing context-aware cognitive behavioral therapy for unipolar and bipolar disorders

This position paper presents our preliminary design of context-aware cognitive behavioral therapy for unipolar and bipolar disorders. We report on the background for this study and the methods applied in the ongoing design process. The paper ends by presenting and discussing different design options. We hope this will be useful input for further discussion at the workshop.
Cross modal metric learning with multi-level semantic relevance

The Mahalanobis metric learning is an effective tool for constructing semantic consistent distance among data in single modal data analysis. However, distance metric learning is a more challenging issue for cross modal data, where less attention has been paid in previous studies. In this paper, we propose Cross mOdal Large mArgin metric leaRning (COLAR) with multi-level semantic relevance. With large margin principle, we model different levels of the semantic relations across modalities, e.g., the one-to-one correspondence and intra-class relation, while traditional correlation learning approaches (such as CCA and its variants) can only handle the one-to-one correspondence or treat them indiscriminatively. As a result, the distances of multi-level relevance among cross modal data are optimized based on a regularized learning framework. Promising performance is achieved on cross modal retrieval, i.e., image-to-text retrieval and text-to-image retrieval.
Measuring psychological outcomes after cognitive behaviour therapy in primary care: a comparison between a new patient-generated measure “PSYCHLOPS” (Psychological Outcome Profiles) and “HADS” (Hospital Anxiety and Depression Scale)

Background: Patient-centred outcome measures are rarely used in primary care mental health settings. Aim: To determine reliability and change sensitivity for a new patient-generated measure, “PSYCHLOPS” (Psychological Outcome Profiles), comparing those parameters with a conventional outcome measure. Setting: Patients attending clinical psychology services in primary care. Methods: Standardized responses to PSYCHLOPS, pre- and post-therapy, were compared with responses to HADS. Results: 336 patients were recruited; 140 (42%) completed therapy and submitted post-therapy questionnaires. Complete questionnaire data were available for 114 patients (34%). Cohen's Effect Size was 1.61 for PSYCHLOPS and 1.15 for HADS (t = 5.75, p < 0.001). Internal consistency of questionnaire components were 0.75 and 0.67 pre-therapy, respectively. Change scores of both instruments correlated moderately (Pearson's r 0.65; p < 0.001). Completion rates for PSYCHLOPS pre-therapy were: 98.8 %, (problem domain), 91.2%, (function domain), 94.9%, (wellbeing domain) and for HADS, 97.6%. Conclusion: PSYCHLOPS was a more sensitive measure of change after therapy than the comparator measure, HADS. Strong responsiveness to change, satisfactory internal reliability and high completion rates implying feasibility, all suggest that measuring outcomes based on self-reported changes in problems chosen by patients may be a valuable complement to nomothetic outcome measures and be achieved using PSYCHLOPS.
Question Answering Approach Using a WordNet-based Answer Type Taxonomy

In question answering (QA), answer types are semantic categories that questions require. An answer type taxonomy (ATT) is a collection of these answer types. ATT may heavily affect the performance of QA systems, because its broadness and granularity provides coverage and specificity of answer types. Cardie [1] used 13 categories for entity classification, and obtained large performance improvement, compared with the method using no categories. Also, according to Pasca et al. [3], the more categories a system uses, the better performance the system shows. For example, consider two answer type taxonomies, A={PERSON}, and B={PRESIDENT, ENGINEER, SINGER, PERSON}. Given a question “Who was the president of Vichy France? ”, we know that the more specific answer type of this question is not PERSON, but PRESIDENT. Thus, if we use ATT B, a set of candidate answers from documents can be reduced to a set of PRESIDENT entities, by excluding the other PERSON entities such as ENGINEER and SINGER. This is not the case with ATT A. However, since ATT A cannot distinguish hypernyms of PERSON, the QA system should consider much more candidate answers. Thus far, most QA systems rely on small-scale ATTs, with the number of semantic categories ranging from 20 to 100. Normally, these ATTs are created from a beginning set of frequently-asked answer types like person, organization, location, number, etc., and then they are incrementally extended to include unexpected answer types from new questions. However, these ad-hoc ATTs may raise the following problems in QA. First, it is nontrivial to manually enlarge a small ATT to a large one, as new answer types appear. Second, ad-hoc ATTs do not allow easy adaptation for processing questions asking new answer types. For such questions, the system needs to modify an existing IE module to classify entities into new answer types. Third, previous ATTs do not have sufficient broadness and granularity, where they are expected characteristics of ATT for open-domain QA. Therefore, at this year’s TREC, we have taken a question answering approach that uses WordNet itself as ATT. In other words, our QA system maps an answer type into a concept node called a synset in WordNet. WordNet provides sufficient diversity and density to distinguish specific answer types for most questions. By using such an ontological taxonomy, we do not have the above problems with small ad-hoc ATTs. This paper is organized as follows. Section 2 describes each module of our QA system, and section 3 shows TREC-11 evaluation results, and concluding remarks are given in section 4.
The emerging role of NG2 in pediatric diffuse intrinsic pontine glioma

Diffuse intrinsic pontine gliomas (DIPGs) have a dismal prognosis and are poorly understood brain cancers. Receptor tyrosine kinases stabilized by neuron-glial antigen 2 (NG2) protein are known to induce gliomagenesis. Here, we investigated NG2 expression in a cohort of DIPG specimens (n= 50). We demonstrate NG2 expression in the majority of DIPG specimens tested and determine that tumors harboring histone 3.3 mutation express the highest NG2 levels. We further demonstrate that microRNA 129-2 (miR129-2) is downregulated and hypermethylated in human DIPGs, resulting in the increased expression of NG2. Treatment with 5-Azacytidine, a methyltransferase inhibitor, results in NG2 downregulation in DIPG primary tumor cells in vitro. NG2 expression is altered (symmetric segregation) in mitotic human DIPG and mouse tumor cells. These mitotic cells co-express oligodendrocyte (Olig2) and astrocyte (glial fibrillary acidic protein, GFAP) markers, indicating lack of terminal differentiation. NG2 knockdown retards cellular migration in vitro, while NG2 expressing neurospheres are highly tumorigenic in vivo, resulting in rapid growth of pontine tumors. NG2 expression is targetable in vivo using miR129-2 indicating a potential avenue for therapeutic interventions. This data implicates NG2 as a molecule of interest in DIPGs especially those with H3.3 mutation.
Kentucky's Early Childhood Continuous Assessment and Accountability System

Kentucky has developed an assessment and accountability system that provides outcome data for a set of state early childhood standards for children birth to 5 years of age that are aligned with early childhood outcomes designated by the Office of Special Education Programs (OSEP). Within this flexible and comprehensive state assessment system, early intervention and care providers, district preschool personnel, and childcare program staff select a criterion-referenced, curriculum-based assessment (CBA) tool to monitor children's progress. The system is designed so that data from these CBA tools can be used for three purposes: (a) to demonstrate child progress and inform instruction at the individualized intervention or classroom level; (b) to promote program improvement and plan program, district, and state supports through the aggregation of assessment data at the program, district, and state level; and (c) to report on child progress to evaluate the success of federal, state, or district programs and initiatives.
ARMO-Adaptive Road Map Optimization for Large Robot Teams

Autonomous robot teams that simultaneously dispatch transportation tasks are playing more and more an important role in present logistic centers and manufacturing plants. In this paper we consider the problem of robot motion planning for large robot teams in the industrial domain. We present adaptive road map optimization (ARMO) that is capable of adapting the road map in real time whenever the environment has changed. Based on linear programming, ARMO computes an optimal road map according to current environmental constraints (including human whereabouts) and the current demand for transportation tasks from loading stations in the plant. For detecting dynamic changes, the environment is describe by a grid map augmented with a hidden Markov model (HMM). We show experimentally that ARMO outperforms decoupled planning in terms of computation time and time needed for task completion.
On the Stability of Occupational Rankings

A major puzzle for sociologists is how it can be that societies that differ vastly in their culture and economic circumstances maintain a similar ranking of occupations. Economists have identified a similar stability in the wage structure. The difference in pay of skilled and unskilled workers has been stable over time and is surprisingly similar in developed and undeveloped countries. This article contends that these two phenomena reflect the same basic principle: If workers are free to choose their occupation and level of skill, then differences in culture and in the state of development will mainly affect the number of workers in different activities but not their rewards. In the language of economists, free mobility generates highly elastic supply into different occupations and skills. Therefore, occupational rewards are largely independent of demand.
Petri Net Modeling of the Cooperation Behavior of a Driver and a Copilot in an Advanced Driving Assistance System

As the traffic on roads becomes increasingly heavy, driving safety has widely become a concern. Thus, an advanced driving-assistance system (ADAS) becomes much more important, because it can improve driving safety. It is composed of a human driver and an automated system called a copilot. To make it effective, they should properly cooperate. Hence, it is very important to define and model their cooperation behavior such that an ADAS can effectively be designed and realized. This paper presents the colored hybrid Petri net (CHPN) model to describe their cooperation behavior. It shows how switch between the driver and the copilot should be done to control the vehicle. The model is shown to be deadlock-free and conflict-free. Therefore, it is useful for ADAS design, analysis, and simulation.
A systematic review of fish-oil supplements for the prevention and treatment of hypertension

Aims: Fish oils are widely believed to promote cardiovascular health by lowering blood pressure (BP) but the evidence supporting this is not conclusive. We aimed to systematically review existing evidence. Method: We undertook a systematic review of randomized controlled trials and crossover trials that evaluated the effectiveness of fish-oil supplements. We included trials enrolling adults who were given fish-oil supplements with at least 8 weeks’ follow up. Effects on systolic and diastolic BP were assessed using meta-analysis. Meta-regression was undertaken to explore the relationship between dose of fish oil and BP outcomes. Results: We included 17 studies, with a total of 1524 participants. We explored the effects of fish-oil supplements in both normotensive and hypertensive participants with BP 140/85 mmHg at least. Meta-analyses were performed using the inverse-variance method. Data from eight studies in hypertensive participants found a statistically significant reduction in systolic and diastolic BP; 2.56 mmHg (95% CI 0.58 to 4.53) and 1.47 mmHg (95% CI 0.41 to 2.53), respectively. Nine studies in normotensive participants showed a non-significant reduction in both systolic and diastolic BP. Meta-regression showed no significant relationship between dose of fish oil and the effect on BP. Conclusion: The small but statistically significant effects of fish-oil supplements in hypertensive participants in this review have important implications for population health and lowering the risk of stroke and ischaemic heart disease. Their modest effects, however, mean that they should not be recommended as an alternative to BP-lowering drugs where guidelines recommend treatment.
A systolic parameter defined as the ratio of brachial pre-ejection period to brachial ejection time predicts cardiovascular events in patients with chronic kidney disease.

BACKGROUND Patients with chronic kidney disease (CKD) are associated with an increased risk of cardiovascular (CV) events. An increase in the ratio of the pre-ejection period (PEP) to ejection time (ET) is correlated with a decrease of left ventricular systolic function. Brachial PEP (bPEP) and brachial ET (bET) can be automatically determined from an ankle-brachial index (ABI)-form device. The aim of this study is to investigate whether bPEP/bET is a useful predictor for CV events in patients with CKD. METHODS AND RESULTS We consecutively enrolled 242 CKD patients from our outpatient department of internal medicine. The bPEP and bET were measured using an ABI-form device. CV events were defined as cardiac death, stroke, myocardial infarction, and hospitalization for congestive heart failure. The study subjects were followed until the first episode of CV events occurred. The relative CV event risk was analyzed by Cox-regression methods. In the multivariate analysis, the presence of diabetes (hazard ratio (HR), 3.531; P=0.014), increased bPEP/bET (HR, 1.054; P=0.026), and decreased serum albumin level (HR, 0.525; P=0.005) were independent predictors for CV events. CONCLUSIONS The study findings show that bPEP/bET is a useful predictor of CV events in CKD patients. Screening CKD patients by means of bPEP/bET might help to identify patients at high risk of increased CV events.
Optimization of Linear Multielement Antennas for Selection Combining by Means of a Butler Matrix in Different MIMO Environments

An optimized linear multielement antenna (MEA) is presented for selection combining schemes that improves the selection diversity gain and selection diversity capacity in medium and low multipath environments, with respect to the performance achieved with a simple uniform linear array (ULA) using omnidirectional antennas, while it performs equally as well as a ULA in highly scattered environments. An analytical investigation based on the analysis of the correlation coefficients, together with simulations and extensive measurements, have been carried out for different fading multiple-input multiple-output environments ranging from line of sight (LOS) to non-LOS. Two MEAs are compared: a simple ULA with omnidirectional antennas and a MEA combining a ULA and a Butler matrix. The measurement results show that the nature of the proposed MEA is such that it is adaptive to any propagation scenario by simultaneously taking advantage of beamforming gain and signal diversity gain
Stochastic Market-Clearing of Joint Energy and Reserves Auctions

An important issue in deregulated power systems is a provision of ancillary services. This paper presents a Mixed Integer Non-Linear Programming (MINLP) formulation for the provision of ancillary services (Automatic Generation Control or AGC, Spinning, Non-spinning and operational reserves) as well as the energy in simultaneous auctions by pool-based aggregated market scheme. The uncertainty of the market clearing procedure is represented by a stochastic model. Thus, the market clearing process is expressed as a stochastic optimization problem in which the expected objective function is minimized, while meeting AC power flow constraints, system reserve requirements and Lost Opportunity Cost (LOC). The model is applied to the IEEE 24-bus Reliability Test System (IEEE 24-bus RTS), and simulation studies carried out to examine the effectiveness of the proposed method.
Flexible work bundles and organizational competitiveness: a cross‐national study of the European work context

The present study explores the categorization of flexible work arrangements (FWAs) into bundles and their connection to organizational competitiveness in the European Union. The measures of competitiveness were performance, turnover, and absenteeism. Four moderators were used in the study, organization sector, industry sector, organization size, and organizational women-supportiveness. The analyses revealed four FWA Bundles, namely Non-Standard Work Patterns, Work Away from the Office, Non-Standard Work Hours and Work Outsourced. Non-Standard Work Patterns were found to be related to decreased turnover (in the private sector), while Work Away from the Office was related to improved performance and reduced absenteeism. Non-Standard Work Hours and Work Outsourced (within the public sector) were positively related to turnover, suggesting that these types are possibly not being used as true flexibility arrangements. Finally, post-hoc analysis revealed that Non-Standard Work Hours was related to increased performance only among Swedish organizations. Implications for management and future research are discussed. Copyright © 2005 John Wiley & Sons, Ltd.
Toward Holistic Care: Integrating Spirituality and Cognitive Behavioral Therapy for Older Adults

Based on the particular mental health needs of older adults, this article formulates a theoretical approach integrating spirituality and cognitive behavioral therapy (CBT) for counseling older adults. CBT is easily applicable and highly appropriate for use with the older adult cohort. Its efficacy is well documented, specifically for disorders commonly experienced by older adults. However, as presenting problems of older adults frequently include spiritual and existential concerns, the incorporation of spirituality and meaning-making with CBT is ideal for serving this cohort. This article presents a theoretical approach to spiritually integrated CBT by formulating a modified style of assessment, formulation, beginning therapy, cognitive restructuring, behavior modification, and termination.
The Cross-National Diffusion of Movement Ideas

Current theory and research on social movements continue to treat these movements as discrete entities, rather than to focus on the ways in which activists in one struggle borrow elements from other similar groups. With its emphasis on the spread of information or other cultural elements, the diffusion literature represents a potentially fruitful starting point for theorizing about the transfer of ideas or tactics from one movement to another. Drawing on this literature, the authors sketch a model of the cross-national diffusion of movement ideas that emphasizes (1) the role of direct relational ties in encouraging an initial identification of activist-adopters in one country with activist-transmitters in another and (2) the role of nonrelational channels as the principal means of information transmission once this initial identification is established. The authors then use the case of the American and German New Left to illustrate the utility of the approach for the study of cross-national diffusion.
Systematic Review on Project Actuality

Nowadays much is written about how to manage projects, but too little on what really happens in project actuality. Project Actuality came out in the Rethinking Project Management (RPM) agenda in 2006 and it aims at understanding what really happens at project context. To be able to understand project actuality phenomenon, we first need to get a better comprehension on its definition and discover how to observe it and analyse it. This paper presents the results of the systematic review conducted to collect evidence on Project Actuality. The research focused on four search engines, in publications from 1994 to 2013. Among others, the study concludes that project actuality has been analysed by several methods and techniques, mostly on large organization and public sectors, in Northern Europe. The most common definitions, techniques, and tips were identified as well as the intent of transforming the results in knowledge.
Designing Consumer Health Technologies for the Treatment of Patients With Depression: A Health Practitioner's Perspective

Background The consumer health technologies used by patients on a daily basis can be effectively leveraged to assist them in the treatment of depression. However, because treatment for depression is a collaborative endeavor, it is important to understand health practitioners’ perspectives on the benefits, drawbacks, and design of such technologies. Objective The objective of this research was to understand how patients and health practitioners can effectively and successfully influence the design of consumer health treatment technologies for treating patients with depression. Methods A group of 10 health practitioners participated in individual semistructured contextual interviews at their offices. Health practitioners rated an a priori identified list of depression indicators using a 7-point Likert scale and generated a list of depression indicators. Finally, health practitioners were asked to rate the perceived usefulness of an a priori identified list of depression treatment technologies using a 7-point Likert scale. Results Of the 10 health practitioners interviewed, 5 (50%) were mental health practitioners, 3 (30%) nurses, and 2 (20%) general practitioners. A total of 29 unique depression indicators were generated by the health practitioners. These indicators were grouped into 5 high-level categories that were identified by the research team and 2 clinical experts: (1) daily and social functioning, (2) medication, (3) nutrition and physical activity, (4) demographics and environment, and (5) suicidal thoughts. These indicators represent opportunities for designing technologies to support health practitioners who treat patients with depression. The interviews revealed nuances of the different health practitioners’ clinical practices and also barriers to using technology to guide the treatment of depression. These barriers included (1) technology that did not fit within the current practice or work infrastructure, (2) technology that would not benefit the current treatment process, (3) patients forgetting to use the technology, and (4) patients not being able to afford the technology. Conclusions In order to be successful in the treatment of depression, consumer health treatment technologies must address health practitioners’ technology concerns early on in the design phase, account for the various types of health practitioners, treatment methods, and clinical practices, and also strive to seamlessly integrate traditional and nontraditional depression indicators within various health practitioners’ clinical practices.