Miracle-dz/UniFAR-FTUs huggingface dataset:
Therapists' Experiences of Shame: An Heuristic Study

Shame is a crucial issue frequently overlooked in the therapeutic context because it has many hiding places and inevitably reverberates with experiences of shame in the therapist. Therapists can be vulnerable to shame from multiple sources and without awareness of the activation of their shame, therapists risk reacting in ways that are not therapeutic. This, in turn, is likely to impact the therapeutic relationship and outcomes. The concealment and neglect of the therapist’s shame is reflected in a lack of attention to this aspect of the subject in the literature. Using heuristic methodology five psychotherapists were interviewed to elucidate their experiences of shame. Consistent with heuristic methodology and method there was indepth analysis of the researcher’s experience of the phenomenon. Shame is portrayed as striking at the core of the self and causing physiological, behavioural, emotional, and cognitive reactions which involve one’s entire being. In all its forms, shame is considered relational. Four interwoven themes were identified: second hand shame, shame with colleagues, being different, and not being good enough. The findings highlighted the importance of empathic relationships with supervisors and colleagues in mitigating the debilitating effects of shame. Building shame resilience in therapists is underscored as critical in tolerating the vulnerability in meeting clients and colleagues in powerful affective states of being shamed and shaming. Therapists are encouraged to face into experiences of shame in themselves and with their clients, and to see these experiences as valuable opportunities for growth.
Decision making and creativity: A qualitative study of MacArthur Fellows

This research study explored how eight individuals recognized for their creativity activate, develop, express, and sustain their creativity through decision making. The individuals were MacArthur Fellowship award winners. This prestigious fellowship is given to individuals who the MacArthur Foundation considers to be high-achieving and highly innovative individuals. The Fellowship recipients in this study were affiliated with either nonprofit or for-profit organizations, and all were founders of their respective organizations. The specific goals of the research were to: (a) understand the details of participant decision making strategies and processes; (b) investigate if participants demonstrate consistent or different decision making strategies across the sample and across different decision making contexts; (c) compare the strategies and processes of participants with the established theories of decision making; and (d) understand how the creative thinkers activate, develop, express, and sustain their creativity in their pursuit of novel outcomes. This was a qualitative study that employed face-to-face interviewing as the primary data collection method. Participants were chosen using a purposeful sampling technique in which potential participants were stratified by gender, age, and organizational type and then randomly selected from each category. Interviewees came from different regions of the United States and worked in a range of fields including physics, agriculture, computer technology, human rights, conservation, pharmaceuticals, environmental policy, and music. An interview guide was employed to give interviews structure and maximize the busy interviewees’ time. Interviews lasted approximately 60 minutes. Interview data were organized into single case studies built around constructs that surfaced during a review of the literature on both decision making and creativity. A cross-case analysis was also conducted. The results of the study supported existing theories of decision making, though these theories are relatively abstract and this study presents richer descriptions of the decision making process than one can find in the more abstract theoretical literature. As a consequence, this study should be useful to those who want to emulate individuals who have been publicly recognized for their creativity and for successfully making decisions in areas where well-established decision making pathways do not exist.
Effect of Genotype and Husbandry System on Blood Parameters, Oxidative and Native Immune Status: Welfare and Implications on Performance of Organic Laying Hens

The aim of the present work was to compare the effect of organic production vs standard cage system on welfare and performance of a pure breed (Ancona) vs a commercial strain (Brown Hy-Line) of laying hens through a multifunctional approach (behaviour, tonic immobility, feathers score, antioxidant status of the body, blood parameters, innate immunity and mortality). The trial was carried out in farm of the Dpt. of Applied Biology (University of Perugia), where 17-weeks-old females of Ancona breed (n=200) and Brown Hy-Line (n=200) were divided in 2 homogenous groups of 100 birds each and assigned to cage or organic rearing systems. The genotype of the hens affected in a degree which depends on rearing system almost all the variables. The feeding and resting activities were higher in caged whereas moving activities were higher in organic hens and especially in Ancona birds. Social relationships showed genotype and rearing system effects being higher in Brown Hy-Line hens particularly when reared in cage. The TI duration was affected by genotype and rearing system being the immobility time longer in Brown Hy-Line. The plumage condition showed a great rearing system effect and genotype effects was observed only between organic groups where Ancona hens showed the better feathers condition. Regarding native immune status serum bactericidal activity showed the highest values in organic hens and mainly in Ancona ones. On the contrary, lysozyme showed greater value in caged hens. The haptoglobin value was lower in organic Ancona group, the same hens showed about 30% greater reactive oxygen substances, but accompanied by highest the antioxidant power. Organic rearing system, mainly in the Ancona hens, induced the highest red blood cells, haemoglobin and hematocrite values. Lymphocytes were higher in Organic birds thus reducing the H/L ratio in Organic hens. As expected, organic birds showed the worst feed efficiency and percentage of deposition, but the lowest mortality rate. In conclusion, on the basis of all these information together with the low mortality rate, Ancona hens showed the better welfare status, mainly when they were organically reared.
Pension Wealth and Household Savings in Europe: Evidence from Sharelife

We use recently collected retrospective survey data to estimate the displacement effect of pension wealth on household savings. The third wave of the Survey of Health, Ageing and Retirement in Europe, SHARELIFE, collects information on the entire job history of the respondent, a feature missing in most previous studies. We show that addressing measurement error problems is crucial to estimate the displacement effect when using survey data. We find that each euro of pension wealth is associated with a 47 (61) cent decline in non–pension wealth using robust (median) regression. In the presence of biases from measurement errors and omitted (unobserved) variables, we estimate a lower bound to the true offset between 17% and 30%, significantly different from zero. Instrumental variables regression estimates, although less precise, suggest full displacement.
Crime Victims’ Demographics Inconsistently Relate to Self-Reported Vulnerability

Previous research has found a discrepancy between the number of individuals who self-report as being vulnerable and official prevalence estimations. Both this discrepancy and victims’ views about their vulnerability need addressing in order to identify further training needs for criminal justice system agencies and to that ensure victims receive the appropriate support. Using data from the Metropolitan Police Service (MPS) User Satisfaction Survey (USS) (n = 47,560), the present study explores 1) crime victims’ self-reported vulnerability and its association with demographics; 2) police identification of vulnerability; and 3) whether the needs of vulnerable victims are catered for. The results indicate that 38% of the sample self-identified as being vulnerable, a considerably higher percentage than estimated in previous literature. Although associations have been found between vulnerability and demographics, these have been negligible or have had weak effect sizes. The findings are discussed in relation to the current definition of a vulnerable victim, and the role of personal circumstances in self-identification are highlighted.
Who develops? Understanding the role of leadership mindset in developmental opportunities

theoretical form to applied knowledge, a challenge similar to that in the fields of education and nursing, reflection may be an important process in the development of leadership ability. Examining whether or not reflection mediates the relationship between leadership mindset and leadership growth will improve our understanding of the relative importance of reflection as a part of leadership development.
First Steps in Physicality

This preface to the Proceedings of Physicality 2006 describes some of the work at Lancaster and in the Equator project that were the initial inspiration for this workshop. We wish to understand physicality both because it is interesting in its own right and also because the understanding can help us design novel digital and hybrid digital–physical artefacts. Our own existing work is used to propose some initial properties and issues of physicality including rules of 'natural' interaction, issues of 'itness' and continuity in time and space, the physicality and instrumentation of the human body and issues of embodiment and spatiality.
The Effect of Mass Segregation on Gravitational Wave Sources near Massive Black Holes

Gravitational waves (GWs) from the inspiral of compact remnants (CRs) into massive black holes (MBHs) will be observable to cosmological distances. While a CR spirals in, two-body scattering by field stars may cause it to fall into the central MBH before reaching a short-period orbit that would give an observable signal. As a result, only CRs very near (~0.01 pc) the MBH can spiral in successfully. In a multimass stellar population, the heaviest objects sink to the center, where they are more likely to slowly spiral into the MBH without being swallowed prematurely. We study how mass segregation modifies the stellar distribution and the rate of GW events. We find that the inspiral rate per galaxy is 30 Gyr-1 for white dwarfs, 6 Gyr-1 for neutron stars, and 250 Gyr-1 for 10 M☉ stellar black holes (SBHs). The high rate for SBHs is due to their extremely steep density profile, nBH(r) ∝ r-2. The GW detection rate will be dominated by SBHs.
Relation Extraction for Drug-Drug Interactions using Ensemble Learning

We describe our approach for the extraction of drug-drug in- teractions from literature. The proposed method builds majority voting ensembles of contrasting machine learning methods, which exploit dier- ent linguistic feature spaces. We evaluated our approach in the context of the DDI Extraction 2011 challenge, where using document-wise cross- validation, the best single classier achieved an F 1 of 57.3 % and the best ensemble achieved 60.6 %. On the held out test set, our best run achieved a F1 of 65.7 %.
An Efficient homophilic model and Algorithms for Community Detection using Nash Dynamics

The problem of community detection is important as it helps in understanding the spread of information in a social network. All real complex networks have an inbuilt structure which captures and characterizes the network dynamics between its nodes. Linkages are more likely to form between similar nodes, leading to the formation of some community structure which characterizes the network dynamic. The more friends they have in common, the more the influence that each person can exercise on the other. We propose a disjoint community detection algorithm, $\textit{NashDisjoint}$ that detects disjoint communities in any given network. We evaluate the algorithm $\textit{NashDisjoint}$ on the standard LFR benchmarks, and we find that our algorithm works at least as good as that of the state of the art algorithms for the mixing factors less than 0.55 in all the cases. We propose an overlapping community detection algorithm $\textit{NashOverlap}$ to detect the overlapping communities in any given network. We evaluate the algorithm $\textit{NashOverlap}$ on the standard LFR benchmarks and we find that our algorithm works far better than the state of the art algorithms in around 152 different scenarios, generated by varying the number of nodes, mixing factor and overlapping membership. We run our algorithm $\textit{NashOverlap}$ on DBLP dataset to detect the large collaboration groups and found very interesting results. Also, these results of our algorithm on DBLP collaboration network are compared with the results of the $\textit{COPRA}$ algorithm and $\textit{OSLOM}$.
Investigating the key drivers of traveler loyalty in the airport lounge setting

ABSTRACT This study intended to examine the structural relationships among functional congruity factors, delight, well-being perception, brand identification, and traveler satisfaction in the formation of air traveler loyalty for airline lounges. The survey sample consisted of 394 air travelers who visited an airline lounge in airport in the U.S. during the past six months. Structural equation modeling was used to test the conceptual model. Results of the structural equation modeling indicated that functional congruity of the physical environments and facilities were significantly and positively associated with delight, which in turn, affected air travelers’ perceived well-being and satisfaction level in the lounge. It was also found that well-being perception significantly and positively affected brand identification and satisfaction, and loyalty was a positive and significant function of satisfaction. The mediation test showed that delight and well-being perception were significant mediators in the proposed theoretical framework. Practical and theoretical implications are discussed.
Psychometric properties of the stroke specific quality of life scale for the assessment of participation in stroke survivors using the rasch model: a preliminary study

[Purpose] The aim of the present study was to analyze the psychometric properties of the Stroke Specific Quality of Life (SS-QOL) scale for the assessment of social participation following a stroke. [Methods] A preliminary analysis was performed of the SS-QOL items that address the participation category. For this, the scoring patterns of the answers of individuals and internal consistence were determined using the Rasch model. Reliability was assessed by intraclass correlation coefficients (ICC). [Results] The reliability coefficients analyzed by the Rasch model were 0.91 for the items and 0.87 for the patients. The separation index was 3.19 for the items and 2.58 for the patients. The findings indicate that the items separated the patients into three levels of participation: low, medium, and high. Among the 26 items addressing participation, three did not fit the model. All items showed adequate reliability (ICC ≥ 0.60). [Conclusion] The Rasch analysis detected three items with erratic behavior; however, the erratic patterns of these items may be explained by individual peculiarities among the patients. These items should be monitored to determine if the problems found in the present study persist. If so, the items should also be revised or possibly even eliminated.
On the Wind Power Input to the Ocean General Circulation

The wind power input to the ocean general circulation is usually calculated from the time-averaged wind products. Here, this wind power input is reexamined using available observations, focusing on the role of the synoptically varying wind. Power input to the ocean general circulation is found to increase by over 70% when 6-hourly winds are used instead of monthly winds. Much of the increase occurs in the storm-track regions of the Southern Ocean, Gulf Stream, and Kuroshio Extension. This result holds irrespective of whether the ocean surface velocity is accounted for in the wind stress calculation. Depending on the fate of the highfrequency wind power input, the power input to the ocean general circulation relevant to deep-ocean mixing may be less than previously thought. This study emphasizes the difficulty of choosing appropriate forcing for ocean-only models.
Intrinsic mechanisms stabilize encoding and retrieval circuits differentially in a hippocampal network model

Acetylcholine regulates memory encoding and retrieval by inducing the hippocampus to switch between pattern separation and pattern completion modes. However, both processes can introduce significant variations in the level of network activity and potentially cause a seizure‐like spread of excitation. Thus, mechanisms that keep network excitation within certain bounds are necessary to prevent such instability. We developed a biologically realistic computational model of the hippocampus to investigate potential intrinsic mechanisms that might stabilize the network dynamics during encoding and retrieval. The model was developed by matching experimental data, including neuronal behavior, synaptic current dynamics, network spatial connectivity patterns, and short‐term synaptic plasticity. Furthermore, it was constrained to perform pattern completion and separation under the effects of acetylcholine. The model was then used to investigate the role of short‐term synaptic depression at the recurrent synapses in CA3, and inhibition by basket cell (BC) interneurons and oriens lacunosum‐moleculare (OLM) interneurons in stabilizing these processes. Results showed that when CA3 was considered in isolation, inhibition solely by BCs was not sufficient to control instability. However, both inhibition by OLM cells and short‐term depression at the recurrent CA3 connections stabilized the network activity. In the larger network including the dentate gyrus, the model suggested that OLM inhibition could control the network during high cholinergic levels while depressing synapses at the recurrent CA3 connections were important during low cholinergic states. Our results demonstrate that short‐term plasticity is a critical property of the network that enhances its robustness. Furthermore, simulations suggested that the low and high cholinergic states can each produce runaway excitation through unique mechanisms and different pathologies. Future studies aimed at elucidating the circuit mechanisms of epilepsy could benefit from considering the two modulatory states separately. © 2014 Wiley Periodicals, Inc.
HOW CHAN CAN BE RELEVANT IN MODERN SOCIETY: A SCIENTIFIC VIEW

Chan is a superior mental training methodology derived from Buddhism and absorbed wisdom of religious practitioners, philosophers, and scholars around Eastern Asia through thousands of years. As the primary way of Chan, meditation has clear effects in bringing practitioners’ mind into a tranquil state and promoting both the mental and the physical health. The effect of Chan is measurable. We propose to establish a Chan science by applying modern experimental sciences to various models that have been used in traditional medicine and philosophical studies. We also give a brief introduction to some online Chan communities and discusses establishing a Chan based e-health community. Through these studies, we believe we will be able to make Chan a beneficial practice to promote human’s life in modern society.
Comparison of reconstruction algorithms for digital breast tomosynthesis

Digital breast tomosynthesis (DBT) is an emerging modality for breast imaging. A typical tomosynthesis image is reconstructed from projection data acquired at a limited number of views over a limited angular range. In general, the quantitative accuracy of the image can be significantly compromised by severe artifacts and non-isotropic resolution resulting from the incomplete data. Nevertheless, it has been demonstrated that DBT may yield useful information for detection/classification tasks and thus is considered a promising breast imaging modality currently undergoing pre-clinical evaluation trials. The purpose of this work is to conduct a preliminary, but systematic, investigation and evaluation of the properties of reconstruction algorithms that have been proposed for DBT. We use a breast phantom designed for DBT evaluation to generate analytic projection data for a typical DBT configuration, which is currently undergoing pre-clinical evaluation. The reconstruction algorithms under comparison include (i) filtered backprojection (FBP), (ii) expectation maximization (EM), and (iii) TV-minimization algorithms. Results of our studies indicate that FBP reconstructed images are generally noisier and demonstrate lower in-depth resolution than those obtained through iterative reconstruction and that the TV-minimization reconstruction yield images with reduced artifacts as compared to that obtained with other algorithms under study.
Towards a hypertext reading/comprehension model

This paper reports on a study that is concerned with the cognitive aspects of reading in a hypertext environment. The study focuses on text based electronic documents. A cognitive model for hypertext document reading proposed in an earlier work is here developed and validated with the use of think aloud protocols. Navigational strategies that readers employ in hypertext reading and hypertext links' selection are also under study. The results indicate that 100% of the task related data correspond to the components of the cognitive model, allowing us to conclude that the proposed model sufficiently describes the cognitive processes involved in hypertext reading. In addition, three navigational strategies are revealed, linear, mixed, and mixed review. The quantitative data show no significant differences between different reading goals on comprehension and on the amount of text read.