Miracle-dz/UniFAR-FTUs huggingface dataset:
Description and Analysis of Psychological Intervention with Dancers by the Software IRAMUTEQ

Dancers live daily with pain, but often they do not know how to deal adequately with it. Based on this concern, we developed a psychological intervention for dancers to cope with pain, applied to 14 Jazz dancers, aged between 12 to 17 years old (M = 14.63; SD = 1.42), who have been competing internationally. This study presents the use of a software for analysis of the verbal reports of dancers and the mediator presented along the psychological intervention. Using the IRAMUTEQ software, we did the held monothematic and thematic analysis on three textual corpus by Hierarchic Analysis Descendant and Similarity Analysis. In the fi rst corpus (mediator reports), were resulted in 5 classes – Sensory Process, Pain Register, Intervention Process, Techniques for Stress Management, Coping and Post-Coping. In the second corpus (dancer reports), 5 classes – Challenges in the Pain Game, Dance Risks, Pain Dilemmas, Imagery Training and Relaxing, and Adjustment to the Options Available in the Social Environment. In the third corpus (dancers and mediator reports), 4 classes – Imagination Process, Process of Coping with Pain, Techniques for Stress Management, Process of Evaluation and Intervention. The software showed useful and effective for psychological intervention content analysis.
Item Generation and Content Validation of the Hajj Crowd Behavior (HBC) Scale

Our main objective is the development and initial validation of a new scale to measure crowd behavior of individuals who performed Hajj , i.e., a holy, religious pilgrimage to Mecca that Muslims take during the Islamic month of Dzul-Hijjah. A scale that measures this construct is important because an understanding of the nature, domains, and roles of crowd behavior could facilitate the effective management and safety of Hajj pilgrims or hujjaj . Using the logical or rational approach, the scale development process was conducted in three phases. First, the construct of Hajj crowd behavior was identified and conceptualized via a literature review (Phase I). Next, an initial pool of 93 items covering three domains of crowd behavior (i.e., behavioral, affective, and cognitive) was generated from a series of semi-structured interviews with 23 hujjaj (Phase II). The content validity of these items was then ascertained by the agreement of subject matter experts ( n = 15), who indicated whether an item is essential in measuring a particular domain of the Hajj crowd behavior construct. This expert review revealed that the majority of items were essential, relevant, and clear (i.e., Content Validity Ratio: CVR > .49), which resulted in 52 items in the final item pool. This revised scale is now suitable to be used in the test try-out phase and has the potential to inform strategies and design of crowd management. Further work is needed to assess its reliability and validity as well as to reduce the number of the items.
Linking 3D face shape to social perception

Advances in computer graphic and statistical methods have made it possible to visualise global face shape correlates of social judgments. e current thesis used a data-driven approach to investigate face shape correlates and perception of two traits, masculinity and strength, both of which are important in mate choice and social perception more generally. e studies presented dened the inuences of body physique (height, body mass index, body fat and muscle mass) on facial shape, and their eects on the perception of masculinity, attractiveness and strength. Study 1 investigated the face shape correlates of actual and perceived masculinity. I found that perceived masculinity is not only driven by sexually dimorphic shape, but also by cues to body height and weight. Men with taller and heavier bodies were perceived to have more masculine-looking faces. Study 2 investigated women’s perception of male attractiveness as a function of masculine face shape. As previously assumed but not explicitly tested, I found that masculinity preferences followed a quadratic relationship: attractiveness increased with increasing masculinity levels, but dropped o at higher levels of masculinity. In addition, I showed that the relative costs and benets of high and low masculinity are aected by individual dierences in own condition, perceived nancial harshness and pathogen disgust. In Study 3, I found that perception of strength from faces is driven by facial cues to body physique; individuals with higher body bulk were perceived to be stronger. In men, it proved possible to further dissociate facial cues to muscle and fat mass which both contributed to strength perception. e thesis demonstrates that facial cues used in the evaluation of masculinity and strength are linked to bodily characteristics associated with sex dierences and actual strength, namely height, weight, muscularity and adiposity. My ndings therefore support the hypothesis that perceptions have an adaptive origin.
Difierential Transfer of Learning: Efiects of Instruction in Descriptive Geometry on Spatial Test Performance

An important question in educational research is whether the im- parting of knowledge and skills also improves pupils' intelligence. This aspect of transfer of learning is di-cult to study within the framework of educational re- search. The longitudinal study presented hereshows, based on sophisticated test materialsandmethodsofanalysis,thatcoursesinDescriptiveGeometryimprove pupils' spatial ability, a primary dimension of intelligence. Also, sex difierences thatwereclearlypresentattheflrsttestingdisappearedduring\training"inDe- scriptiveGeometry.
Closed - Loop Supply Chain Models with Product Remanufacturing

The importance of remanufacturing used products into new ones has been widely recognized in the literature and in practice. In this paper, we address the problem of choosing the appropriate reverse channel structure for the collection of used products from customers. Specifically, we consider a manufacturer who has three options for collecting such products: (1) she can collect them herself directly from the customers, (2) she can provide suitable incentives to an existing retailer (who already has a distribution channel) to induce the collection, or (3) she can subcontract the collection activity to a third party. Based on our observations in the industry, we model the three options described above as decentralized decision-making systems with the manufacturer being the Stackelberg leader. When considering decentralized channels, we find that ceteris paribus, the agent, who is closer to the customer (i.e., the retailer), is the most effective undertaker of product collection activity for the manufacturer. In addition, we show that simple coordination mechanisms can be designed such that the collection effort of the retailer and the supply chain profits are attained at the same level as in a centrally coordinated system.
Counterparts in Language and Space - Similarity and [Sscr ]-Connection

We aim to combine the semantics of spatial natural language specified as a linguistically motivated ontology, the Generalized Upper Model, with spatial logics or ontologies that specify space according to certain conceptualisations, based on regions, shapes, orientations, distances, or object properties. Such combinations, however, introduce uncertainties of various kinds, caused by different levels of detail in the definition of one of the spatial ontologies, underspecifications within parts of an ontology, or different viewpoints of the topics the ontologies address. To model these problems formally, we extend the combination technique of E-connections by adding (heterogeneous) similarity measures. Local similarity compares objects within one domain, whilst comparing objects across domains leads to similarity measures that are motivated by and based on counterparttheoretic semantics. The new formalism is called S-connection.
Diagrammatic transformation processes on relational maps

Psychological evidence indicates that human reasoners solve spatial relational inferences by constructing and inspecting mental models in visuospatial working memory. From a computational point of view, this reasoning strategy seems to combine relational representations comparable to those described in the AI literature on qualitative spatial reasoning with the type of local spatial transformations that are characteristic of diagrammarie reasoning. However, applying local transformations to arbitrary relational representations involves solving the computationally intractable subgraph isomorphism problem. This paper describes a class of representations, relational maps, for which the problem becomes tractable and, as a consequence, for which diagrammatic inference is implementable by efficient local transformations.
An Exploration Into Effectiveness of Existential–Phenomenological Therapy as a U.K. NHS Psychological Treatment Intervention

Counselling and psychotherapy are rooted in humanistic and phenomenological approaches that place emphasis on a choice of therapies being available to individuals. Practice-based evidence makes an important contribution to the field of evidence-based practice on which National Health Service (NHS) clinicians and patients base decisions about psychological treatment interventions that are most likely to be effective. This research aimed to explore the effectiveness of Existential–Phenomenological Therapy (EPT) as routinely used to treat NHS patients in a U.K. secondary care setting. Quantitative data were analyzed from all available NHS routine patients’ (N = 143) Clinical Outcomes in Routine Evaluation Outcome Measures for all those who were treated with EPT (n = 34) and Cognitive Behavioral Therapy (n = 109) from January 2008 to September 2010. Differences were found between waiting list and posttherapy (p = .016) and between pretherapy and posttherapy (p = .03) for EPT research participants and mean results produced reliable and clinically significant change for some. A quarter of these participants moved from a clinical to nonclinical population from pretherapy to posttherapy. A similar pattern was found for the EPT and cognitive behavioral therapy NHS routine practice patients.
Approximating shallow-light trees

This paper deals with the problem of constructing Steiner trees of minimum weight with diameter bounded by d, spanning a given set V of {nu} vertices in a graph. Exact solutions or logarithmic ratio approximation algorithms were known before for the cases of d {le} 5. Here we give a polynomial time approximation algorithm of ratio d log {nu} for constant d, and an algorithm of ratio {nu}{sup {epsilon}}, for any fixed 0 < {epsilon} < 1, for general d.
Wideband lumped element model for on-chip interconnects on lossy silicon substrate

This work presents the fully lumped element model for wideband on-chip interconnects, with large scalability of line lengths up to 8000 mum, and widths down to 100 nm. Both the series and the shunt lumped elements of the model are determined based on the frequency asymptotic technique without any optimization. The equivalent lumped circuit is derived and verified to accurately recover the frequency-dependent parameters up to 40 GHz, where all the parasitic effects are accounted for based on the EM simulation and measurement. The convergence of the cascaded lumped element model is analyzed for the minimal requirement of desired wideband and distributed performance. The frequency responses of the proposed model agree well with those of the distributed transmission line model and measurements. Finally, the model is validated by comparing simulated and measured scattering-parameters
Cervical Pedicle Screw Fixation Combined with Laminoplasty for Cervical Spondylotic Myelopathy with Instability

Study Design A retrospective study. Purpose To evaluate the surgical results of cervical pedicle screw (CPS) fixation combined with laminoplasty for treating cervical spondylotic myelopathy (CSM) with instability. Overview of Literature Cervical fixation and spinal cord decompression are required for CSM patients with instability. However, only a few studies have reported on CPS fixation combined with posterior decompression for unstable CSM patients. Methods Thirteen patients that underwent CPS fixation combined with laminoplasty for CSM with instability were evaluated in this study. We assessed the clinical and radiological results of the surgical procedures. The Japanese Orthopedic Association (JOA) scoring system was used to evaluate the clinical results. The percentages of sli p, difference in sli p angle between maximum flexion and maximum extension of unstable intervertebrae, and perforation rate of CPS were evaluated. Results The mean JOA scores before surgery, immediately after surgery, and at final follow-up were 9.1, 13.3, and 12.6, respectively. The mean percentages of sli p before surgery, immediately after surgery, and at final follow-up were 9.1%, 3.2%, and 3.5%, respectively; there were significant improvements immediately after surgery and at final follow-up. The difference in sli p angle between the maximum flexion and maximum extension of the unstable intervertebrae changed from 9.0° before surgery to 1.6° at the final follow-up. The perforation rate of CPS was 10.9%. Conclusions The results suggest that CPS fixation combined with laminoplasty is an effective surgical procedure for treating CSM with instability.
Book Review: Feminist Methodologies for Critical Researchers: Bridging Differences, 2nd ed.

a great choice for beginning and advanced sociology students alike. I can see this book being well utilized in an introductory sociology course using a “jigsaw” discussion format. Using a jigsaw format involves having a reading, such as a book, broken into parts. Students in small groups are assigned to read and become an expert of one part of the book. Small student groups could each be assigned a chapter to read and become an expert in for homework. Chapters one through seven would work best for this method given that each revolves around one central woman and topic, providing the students with an engaging story and strong structural analysis. During the next class period, students would then break up into other small groups to teach their expertise to others (i.e., a group would consist of one “expert” in each chapter). This would allow all of the different women and topics of the book to be covered in an introductory class without having to assign the full book. Overall, Can’t Catch a Break is well written and clearly organized. In in my opinion, it should be considered required reading for anyone interested in gender and crime and strongly recommended for others interested more broadly in gender, incarceration, neoliberalism, medicalization, and feminist methodology.
Analyzing statistical dependencies in neural populations

Analyzing Statistical Dependencies in Neural Populations by Ilan N. Goodman Neurobiologists recently developed tools to record from large populations of neurons, and early results suggest that neurons interact to encode information jointly. However, traditional statistical analysis techniques are inadequate to elucidate these interactions. This thesis develops two multivariate statistical dependence measures that, unlike traditional measures, encompass all high-order and non-linear interactions. These measures decompose the contributions of distinct subpopulations to the total dependence. Applying the dependence analysis to recordings from the crayfish visual system, I show that neural populations exhibit complex dependencies that vary with the stimulus. Using Fisher information to analyze the effectiveness of population codes, I show that optimal rate coding requires negatively dependent responses. Since positive dependence through overlapping stimulus attributes is an inherent characteristic of many neural systems, such neurons can only achieve the optimal code by cooperating.
Twitter news classification using SVM

With the development of web blogs, Social Networks, many news providers used to share their news headlines in various web sites and web blogs. Now-a-days in Sri Lanka, there are many news groups whom share their news headlines in micro blogging services such as Twitter. These data may carry out much valuable information which will relevant to many social research areas. Thus, the purpose of this research is to classify news into different groups so that the user could identify the most popular news group in a given country for a given time. The short messages were extracted from Twitter micro blog. Several active news groups were chosen to extract the short messages. Each short message was classified manually into 12 groups. These classified data were used to train the machine learning techniques. Words of each short message was considered as features and a feature vector was created using bag-of-words approach in order to create the instances. The data were trained using SVM (Support Vector Machine) machine learning techniques. The main reason of using SVM for the current study is, SVM supports high dimensional data. Current research is a high dimensional problem as a large number of features will be collected using short messages. Cross validation was done in order to avoid the biasness of data. The performance of the system will be the effectiveness of the system. Thus precision and recall values are calculated to measure the performance of the system. Fβ was calculated to obtain a single value measurement. The results show that the system provides high performance for most groups. However, the group development-government does not show much performance using SVM.
ON PROBLEMS OF MOSER AND HANSON

72 73 for every triple of distinct sets A. , A. , A. '1 32 J3 Put f(n) = min r, where the minimum is taken over all families of n distinct sets. Determine or estimate f(n). Riddel showed f(n) > c&i and Erd& and Koml6s [l] showed-j;; s f(n) zx 2J2Jn. We now show Jzl-1 < f(n) < 25+1 and we conjecture that f(n) = (2 + o(l))&. Consider now the largest subfamily A. ,. Ai so that no il r four distinct sets satisfy
Building a Virtual HPC Cluster with Auto Scaling by the Docker

Solving the software dependency issue under the HPC environment has always been a difficult task for both computing system administrators and application scientists. This work would like to tackle the issue by introducing the modern container technology, the Docker, to be specific. By integrating the auto-scaling feature of service discovery with the light-weight virtualization tool, the Docker, the construction of a virtual cluster on top of physical cluster hardware is attempted. Thus, through the isolation of computing environment, a remedy of software dependency of HPC environment is possible.
Multi-modal Skill Memories for Online Learning of Interactive Robot Movement Generation

Modern robotic applications pose complex requirements with respect to the adaptation of actions regarding the variability in a given task. Reinforcement learning can optimize for changing conditions, but relearning from scratch is hardly feasible due to the high number of required rollouts. This work proposes a parameterized skill that generalizes to new actions for changing task parameters. The actions are encoded by a meta-learner that provides parameters for task-specific dynamic motion primitives. Experimental evaluation shows that the utilization of parameterized skills for initialization of the optimization process leads to a more effective incremental task learning. A proposed hybrid optimization method combines a fast coarse optimization on a manifold of policy parameters with a fine-grained parameter search in the unrestricted space of actions. It is shown that the developed algorithm reduces the number of required rollouts for adaptation to new task conditions. Further, this work presents a transfer learning approach for adaptation of learned skills to new situations. Application in illustrative toy scenarios, for a 10-DOF planar arm, a humanoid robot point reaching task and parameterized drumming on a pneumatic robot validate the approach. But parameterized skills that are applied on complex robotic systems pose further challenges: the dynamics of the robot and the interaction with the environment introduce model inaccuracies. In particular, high-level skill acquisition on highly compliant robotic systems such as pneumatically driven or soft actuators is hardly feasible. Since learning of the complete dynamics model is not feasible due to the high complexity, this thesis examines two alternative approaches: First, an improvement of the low-level control based on an equilibrium model of the robot. Utilization of an equilibrium model reduces the learning complexity and this thesis evaluates its applicability for control of pneumatic and industrial light-weight robots. Second, an extension of parameterized skills to generalize for forward signals of action primitives that result in an enhanced control quality of complex robotic systems. This thesis argues for a shift in the complexity of learning the full dynamics of the robot to a lower dimensional task-related learning problem. Due to the generalization in relation to the task variability, online learning for complex robots as well as complex scenarios becomes feasible. An experimental evaluation investigates the generalization capabilities of the proposed online learning system for robot motion generation. Evaluation is performed through simulation of a compliant 2-DOF arm and scalability to a complex robotic system is demonstrated for a pneumatically driven humanoid robot with 8-DOF.
Self-aided manipulator system for bed-ridden patients - Evaluation of psychological influence for the generated approach motion -

Rehabilitation robots that are used to assist patients should be able to move naturally and cause no discomfort to the patients. In this study, a self-aided manipulator system that can generate natural motion and assist bed-ridden patients has been developed. The self-aided manipulator is designed so that it can grasp a glass of water from a side table for the patient. The system can detect the starting position (position of the glass) and the target position (position of the patient's lips) by using a video camera. The direction angle of the patient's face is also determined, and approach motions are generated on the basis of these angles. Approach motions are generated by changing the peak velocity time, maximum speed, and detour point position of the manipulator, and the psychological influence on the patient is evaluated on the basis of their heart rate variability (HRV), skin potential response (SPR), and response to questionnaires. The results suggested that a peak velocity time of 75% of the total movement time, a maximum speed of 36 cm/s, and an approach path from the right when the patient's head is facing straight or to the left tended to have the strongest psychological influence on the patient. From these results, it was indicated that the following conditions are preferable for the approach motion of the manipulator: a peak velocity time of approximately 25 to 50% of the total movement time, a maximum speed from 18 to 24 cm/s, and an approach path in the direction in which the head faces.