Miracle-dz/UniFAR-FTUs huggingface dataset:
Play therapy: the children's views

This paper describes my efforts, as a practising play therapist, to listen to children’s opinions about the play therapy experience. There has been ongoing interaction between this project and my clinical work. Previous research has attended to adult agendas, and I have tried to give children a voice. There have been methodological challenges. However, data from the children confirm the overriding importance of the relationship, providing the context for the therapeutic experience. Within the playroom, children distinguish between talking and playing, and both have a role. However, while therapists ascribe meaning to play, most children see it as ‘just fun’. For some children having fun, in the context of a thoughtful and sustaining relationship, was the most significant aspect of the therapeutic process. Others were able to reflect more deeply and recognize the value of having difficult feelings thought about and understood.
Learning Culture and Outcomes Measurement Practices in Community Agencies

The present study is a first step in examining learning culture and outcomes measurement practices as indicators of community agencies’ readiness for the implementation of research-based evaluation. Representatives from Northern California community agencies serving children and youth (n = 25) completed surveys, which included questions about agency demographics, outcomes measurement practices, and learning culture. Results indicate that, although there is an awareness of the importance of outcomes evaluation, most agencies lack the resources for its systematic implementation. They express interest in learning more about outcomes measurement techniques and program evaluation, and they report needing help in building internal capacity for evaluation. The newly developed Assessing Learning Culture Scale revealed that an underlying set of beliefs, norms, and behaviors characterizes the learning culture of community agencies. These attitudes and beliefs are positively related to systematic data collection efforts and external funding, while attitudes and beliefs that indicate absence of a learning culture are correlated with sporadic data collection efforts and less external funding. Findings indicate that learning culture is an important factor for both the implementation of systematic evaluation efforts and the successful procurement of external funding. They also suggest that systematic evaluation efforts can serve as a change agent for creating a culture that values learning within the organization.
A time improvement over the Mycielski algorithm for predictive signal coding: Mycielski-78

The Mycielski algorithm is commonly known for applications requiring high quality predictions due to its infinite-past rule based prediction method. Since it repeatedly searches from the beginning of the data source, the complexity becomes non-polynomial, resulting in a limited practical use in multimedia applications, including coding. In this work, we present a time improvement over the Mycielski method by incorporating a codebook for the search which is dynamically constructed during the coding process. The construction method is symmetrical in the encoder and decoder parts, therefore reconstruction is assured. The idea and strategy resembles the time improvement of the celebrated LZ-78 method over the LZ-77 compression method, where the non-polynomial search is shortened by incorporating a codebook. Analogously, we call the faster method proposed here, the Mycielski-78 method.
A Retrospective Analysis of the Effectiveness of the Longevity Protocol for Assessing the Risk of Implant Failure.

BACKGROUND A new, computerized diagnostic tool, called the Longevity Protocol, was recently developed to predict implant failure. The present retrospective analysis was undertaken to assess the prognostic validity of this protocol. MATERIALS AND METHODS A selected group of patients who had been treated with implants over the past 10 years at six dental clinics and experienced implant failure were included in the analysis. Another group of patients with similar characteristics, not experiencing implant failure, was used as control. In April of 2015, data about each of the patients was entered into the Longevity Protocol database. For each patient, the risk assessment produced by the protocol was compared to whether the implants eventually failed. The implant failure predictions and actual implant failures were compared. RESULTS The Longevity Protocol analyzed the possible failure of 595 implants placed in 221 patients (323 implants placed in 138 patients classified as low risk, 180 implants placed in 55 patients classified as moderate risk, and 92 implants placed in 28 patients classified as high risk). The actual percentage of implant failure in the three groups was 10%, 15%, and 22%, respectively. The differences between the groups were statistically significant. The sensitivity and specificity of the Longevity Protocol was 84.9% and 11.90% in the high/moderate risk group and 47.17% and 32.74% in the low risk group, respectively. CONCLUSIONS Statistically significant results were obtained. The Longevity Protocol reliably identified patients who risked implant failure. The protocol appears to be an important tool for prognosis assessment.
Les pratiques ostensives comme travail de construction d'une mémoire officielle de la classe dans l'action enseignante

Les pratiques ostensives dans l'enseignement des mathematiques sont l'objet de divers types d'analyses et de commentaires : denoncees par un psychologue comme Aebli (1951), par certains chercheurs en sciences de l'education (Altet, 1994), ou didacticiens (Ratsimba-Rajohn, 1992), elles font actuellement l'objet d'etudes en didactique des mathematiques qui tendent, dans le cadre de la Theorie des situations didactiques, a expliquer leur persistance et, dans le cadre de la Theorie anthropologique du didactique, a decrire leurs fonctions et les moyens qu'elles mettent en œuvre. Apres avoir precise ce que l'on entend par « pratiques ostensives », l'article presente certains resultats montrant le jeu entre ostension et memoire, ainsi que les fonctions que ce jeu permet d'assurer au sein du processus d'enseignement. Il indique en conclusion un point de depart afin de poursuivre l'analyse, dans une perspective comparatiste, pour des didactiques d'autres savoirs.
Smart Transparency for Illustrative Visualization of Complex Flow Surfaces

The perception of transparency and the underlying neural mechanisms have been subject to extensive research in the cognitive sciences. However, we have yet to develop visualization techniques that optimally convey the inner structure of complex transparent shapes. In this paper, we apply the findings of perception research to develop a novel illustrative rendering method that enhances surface transparency nonlocally. Rendering of transparent geometry is computationally expensive since many optimizations, such as visibility culling, are not applicable and fragments have to be sorted by depth for correct blending. In order to overcome these difficulties efficiently, we propose the illustration buffer. This novel data structure combines the ideas of the A and G-buffers to store a list of all surface layers for each pixel. A set of local and nonlocal operators is then used to process these depth-lists to generate the final image. Our technique is interactive on current graphics hardware and is only limited by the available graphics memory. Based on this framework, we present an efficient algorithm for a nonlocal transparency enhancement that creates expressive renderings of transparent surfaces. A controlled quantitative double blind user study shows that the presented approach improves the understanding of complex transparent surfaces significantly.
Effects of Age, Adaptive Behavior, and Cognitive Abilities on Competence-Related Abilities in Children and Adolescents

Consideration of competence to waive Miranda rights (CWM) and competence to stand trial (CST) has become commonplace in the juvenile justice system. Past research has shown age and intelligence are important risk factors for incompetence, but investigations of particular aspects of cognition and more practical aspects of functioning are limited. The present study investigated the direct and indirect effects of age, adaptive functioning, and three specific cognitive abilities (working memory, attention, and processing speed) on both types of competence for 92 children and adolescents ages 8–16. While age was strongly related to all aspects of both types of competence, mixed results were found for the cognitive abilities, and adaptive functioning was only related to some aspects of CWM. Contrary to expectations, it was found that, for the most part, the effect cognitive abilities had on competence did not vary depending on the age of the child or adolescent, and that higher adaptive functioning did not serve as a protective factor for competence when cognitive functioning was low.
Mastering the game of Go from scratch

In this report we pursue a transfer-learning inspired approach to learning to play the game of Go through pure self-play reinforcement learning. We train a policy network on a 5 ⇥ 5 Go board, and evaluate a mechanism for transferring this knowledge to a larger board size. Although our model did learn a few interesting strategies on the 5 ⇥ 5 board, it never achieved human level, and the transfer learning to a larger board size yielded neither faster convergence nor better play.
Energy Efficient, Delay Sensitive, Fault Tolerant Wireless Sensor Network for Military Monitoring

In this article, a new TDMA based wireless sensor network (WSN), MILMON, is proposed for military monitoring. The most important design considerations of MILMON are energy consumption, delay, scalability, and fault tolerance. There are three main components of the system: a new time synchronization schema based on the sink with a high range transmitter, hr-FTSP; data indicator slot mechanism, DISM; and a new distributed time-scheduling mechanism ft_DTSM. An analytic and simulation model has shown that energy consumption and delay performance of the newly proposed system is better than most of the existing WSN systems. Although there may be other architectures which perform better than our system for certain performance metrics, MILMON can operate with a good balance on energy consumption, delay, and fault tolerance.
Breeding for better eye health in Finnish blue fox (Vulpes lagopus).

The frequency of eye infections in the Finnish blue fox population has increased during the past decade. Eye infection may incur economic losses to producers due to reduced selection intensity, but ethical aspects need to be considered as well because eye infection can be quite painful and reduce animal well-being. The purpose of this study was to determine the potential for genetic selection against susceptibility to eye infection. The data were collected from 2076 blue foxes at the MTT fur animal research station. Genetic parameters were estimated using single- and multiple-trait animal models. The heritability estimate for eye infection was analysed as a binary trait (EYE) and was moderate (0.24 ± 0.07). EYE had a moderate antagonistic genetic correlation (-0.49 ± 0.20) with grading density (thick underfur). The genetic correlation of EYE with grading size or body condition score was estimated without precision, but all size traits had a low antagonistic phenotypic correlation with EYE. Our results suggest that there is genetic variance in susceptibility to EYE, indicating that eye health can be improved through selection. The current recommendation is that the sick animals should be culled immediately. If more efficient selection is needed, the selection index and multiple-trait animal models can be applied in breeding for better eye health.
Polymer-Based Hybrid-Integrated Photonic Devices for Silicon On-Chip Modulation and Board-Level Optical Interconnects

The accelerating increase in information traffic demands the expansion of optical access network systems that require the cost reduction of optical and photonic components. Low cost, ease of fabrication, and integration capabilities of low optical-loss polymers make them attractive for photonic applications. In addition to passive wave-guiding components, electro-optic (EO) polymers consisting of a polymeric matrix doped with organic nonlinear chromophores have enabled wide-RF-bandwidth and low-power optical modulators. Beside board level passive and active optical components, compact on-chip modulators (a few 100 μm to a few millimeters) have been made possible by hybrid integration of EO polymers onto the silicon platform. This paper summarizes some of the recent progress in polymer-based optical modulators and interconnects. A highly linear, broadband directional coupler modulator for use in analog optical links and compact, and low-power silicon/polymer hybrid slot photonic crystal waveguide modulators for on chip applications are presented. Recently, cost-effective roll-to-roll fabrication of electronic and photonic systems on flexible substrates has been gaining interest. A low-cost imprinted/ink-jet-printed Mach-Zehnder modulator and board-to-board optical interconnects using microlens integrated 45° mirror couplers compatible with the roll-to-roll fabrication platforms are also presented.
Carbon Nanotubes

One of the main goals of bone tissue engineering is to identify and develop new biomaterials and scaffolds for structural support and controlled cell growth, which allow for formation or replacement of bone tissue. Recently, carbon nanotubes (CNT) have emerged as a potential candidate for bone tissue engineering. CNT present remarkable mechanical, thermal, and electrical properties with easy functionalization capability and biocompatibility. In oral regenerative medicine, bone reconstruction is an essential requirement for functional rehabilitation of the stomatognathic system. Autologous bone still represents the gold standard graft material for bone reconstruction. However, the small amounts of bone available in donor regions, together with the high costs of surgeries, are critical aspects that hinder the selection of this procedure. Thus, CNT alone or combined with biopolymers have promise to be used as novel potential biomaterials for the restoration of bone defects. Indeed, recent evidence demonstrates CNT to be a feasible material that can increase the formation of bone in tooth sockets of rats. The purpose of this review is to summarize the recent developments in bone repair/regeneration with CNT or CNT-based composites. We further provide an overview of bone tissue engineering and current applications of biomaterials, especially of CNT, to enhance bone regeneration.
Codeswitching Detection via Lexical Features in Conditional Random Fields

Half of the world’s population is estimated to be at least bilingual. Due to this fact many people use multiple languages interchange-ably for effective communication. At the Second Workshop on Computational Approaches to Code Switching, we are presented with a task to label codeswitched, Spanish-English (ES-EN) and Modern Standard Arabic-Dialect Arabic (MSA-DA), tweets. We built a Conditional Random Field (CRF) using well-rounded features to capture not only the two languages but also the other classes. On the Spanish-English(ES-EN) classiﬁcation task, we obtained weighted F1-score of 0.88 on the tweet level and an accuracy of 96.5% on the token level. On the MSA-DA classiﬁcation task, our system managed to obtain F1-score of 0.66 on tweet level and overall token level accuracy of 74.7%.
Surrey-cvssp system for DCASE2017 challenge task4

In this technique report, we present a bunch of methods for the task 4 of Detection and Classification of Acoustic Scenes and Events 2017 (DCASE2017) challenge. This task evaluates systems for the large-scale detection of sound events using weakly labeled training data. The data are YouTube video excerpts focusing on transportation and warnings due to their industry applications. There are two tasks, audio tagging and sound event detection from weakly labeled data. Convolutional neural network (CNN) and gated recurrent unit (GRU) based recurrent neural network (RNN) are adopted as our basic framework. We proposed a learnable gating activation function for selecting informative local features. Attention-based scheme is used for localizing the specific events in a weakly-supervised mode. A new batch-level balancing strategy is also proposed to tackle the data unbalancing problem. Fusion of posteriors from different systems are found effective to improve the performance. In a summary, we get 61% F-value for the audio tagging subtask and 0.73 error rate (ER) for the sound event detection subtask on the development set. While the official multilayer perceptron (MLP) based baseline just obtained 13.1% F-value for the audio tagging and 1.02 for the sound event detection.
Writing and Reading: A Response to Comments on Plans and Situated Actions

The occasion to respond publicly to a set of articulate commentaries on one's writing is an extraordinary opportunity. Over a decade after the publication of Plans and Situated Actions: The Problem of Human-Machine Communication (P&SA), and across a prodigious range of new developments in the fields of artificial intelligence (AI) and human-computer interaction (HCI), the questions that animated my earlier project are as compelling and, I believe, as relevant as ever. I am deeply grateful for the testimonials that these commentaries offer to the book's effects at the time of its publication and since. And, as I am currently preparing a second edition of the book, the critiques and provocations that my interlocutors put forward are just as welcome. My primary concern in P&SA was to suggest a shift in the status of plans from mental control structures that universally precede and determine actions, to discursive resources produced and used within the course of certain forms of human activity. Having re-opened the question of what plans are and how they work, I then suggested that we locate the answer to that question in what Garfinkel and Sacks (1970, p. 342) called the 'observable-reportable' accountability of practical reasoning and practical action. I further suggested that we characterize the limits of that accountability for machines as the limits on their access to relevant social and material resources, and identified the resulting asymmetry as the central problem for the project of HCI. The commentaries collected in this issue of "Book and Ideas" traverse some of
Investigating the Disagreement Between Clinicians’ Ratings of Patients in ICUs

We present a Bayesian analysis of ordinal annotations made by clinicians of patients in intensive care. In particular, we investigate the different ways in which clinicians can disagree and how their disagreement is reduced once they take part in a recently proposed procedure (INSIGHT) that aims at improving consistency. The model combines a nonparametric function (loosely interpretable as the health of the patient) with clinician-specific generative procedures for producing the observed ordinal values. Our analysis provides valuable details of the rating behavior of the individual clinicians and shows that the INSIGHT procedure is particularly effective at removing (some) clinician-specific inconsistencies and biases.
Low-power Networks-on-Chip: Progress and remaining challenges

After a long period of academic and industrial research, networks-on-chips (NoCs) are starting to be incorporated into commercial multi-processor designs. NoCs have proven themselves to scale better than bus-based designs and they are here to stay. It is still important to note, however, that even well-designed NoCs consume a large portion of a given system's power budget. This brief paper and accompanying presentation discuss what options are available to designers who need to reduce NoC power consumption, their benefits, and their limitations. Techniques discussed here include general NoC system design as well as disruptive interconnect mediums and their associated strategies.
Traumatization, Loneliness, and Suicidal Ideation among Former Prisoners of War: A Longitudinally Assessed Sequential Mediation Model

Although highly researched among veterans, the underlying mechanisms of suicidal ideation (SI) among former prisoners of war (ex-POWs), especially in the long-term, have rarely been investigated. Furthermore, while posttraumatic stress symptoms (PTSS) and loneliness have been individually associated with veteran SI, and both may be differentially implicated by captivity versus war traumas, the interplay between them has yet to be examined. Filling this gap, the current longitudinal study examined a hypothetical sequential model wherein war captivity, compared with combat-induced trauma, is implicated in worse PTSS, which is then implicated in worse loneliness and PTSS, which together may explain subsequent SI. Two groups of Israeli veterans of the 1973 Yom Kippur War, 163 ex-POWs and 185 matched non-captive veterans were assessed 18 (T1) and 30 (T2) years after the war. Analyses indicated that compared with war, captivity was implicated in worse PTSS, which was implicated in worse loneliness, and these worked in tandem to implicate SI. Loneliness, however, was not directly affected by the type of trauma, nor was its relation to SI linked to its implication in subsequent PTSS. These results may inform future research and clinical practice as the study underscores the importance of both PTSS and loneliness in ex-POWs’ long-term SI.
XMIDDLE: information sharing middleware for a mobile environment

Summary form only given. The capabilities of modern mobile devices enable new classes of applications to exploit the ability to form ad-hoc workgroups and exchange data in a very dynamic fashion. They also present, however, new challenges to application developers, related with the scarcity of resources that need to be exploited efficiently. Moreover network connectivity may be interrupted instantaneously and network bandwidth remains by orders of magnitude lower than in wired networks. To address such issues, we have designed and implemented XMIDDLE, which advances mobile computing middleware approaches by choosing a more powerful underlying data structure (XML) and by supporting offline data manipulation.
Saving Energy in Data Center Infrastructures

At present, data centers consume a considerable percentage of the worldwide produced electrical energy, equivalent to the electrical production of 26 nuclear power plants, and such energy demand is growing at fast pace due to the ever increasing data volumes to be processed, stored and accessed every day in the modern grid and cloud infrastructures. Such energy consumption growth scenario is clearly not sustainable and it is necessary to limit the data center power budget by controlling the absorbed energy while keeping the desired level of service. In this paper, we describe Energy Farm, a data center energy manager that exploits load fluctuations to save as much energy as possible while satisfying quality of service requirements. Energy Farm achieves energy savings by aggregating traffic during low load periods and temporary turning off a subset of computing resources. Energy Farm respects the logical and physical dependencies of the interconnected devices in the data center and performs automatic shut down even in emergency cases such as temperature peaks and power leakages. Results show that high resource utilization efficiency is possible in data center infrastructures and that huge savings in terms of energy (MWh), emissions (tons of CO2) and costs (k€) are achievable.