Miracle-dz/UniFAR-FTUs huggingface dataset:
Evidence-based psychotherapies II: changes in models of treatment and treatment delivery

Decades of psychotherapy research have yielded a few hundred interventions with strong evidence on their behalf. In the prior companion article, methodological and substantive concerns were raised in relation to what we can say about evidence-based psychotherapies and their impact. Among the methodological concerns are the control conditions to which evidence-based psychotherapies are compared, selective reporting of measures, and the paucity of evidence that evidence-based psychotherapies have clinically significant impact. Among the substantive concerns are limited findings to help direct patients to treatments from which they are likely to profit and to understand the mechanisms responsible for therapeutic change. In this article, two shifts in evidence-based psychotherapy research are highlighted to convey novel and needed directions to augment the impact of treatment and the scale on which it can be delivered. First, transdiagnosis and transtreatment are discussed as a departure from traditional evidence-based psychotherapy research by emphasizing interventions that can be applied across multiple domains. Common biological, psychological, and environmental underpinnings of many disorders and select treatments showing reliable changes across multiple problems are altering evidence-based psychotherapy research. Second, novel models of treatment delivery have emerged from global health care, business, economics, and the media, and are well outside of mainstream mental health professions. Two models (task shifting and best-buy interventions) illustrate how different ways of delivering treatment are essential to reach large and diverse swaths of unserved individuals and have impact on the burden of mental illness.
Citizen Engagement through Tangible Data Representation

We begin with the premise that data literacy is a fundamental facet of citizen education in this information age, and that an engaged citizenry in a democracy not only requires access to data, but also the capacity to manipulate and examine the data from multiple perspectives. The visualization of data elucidates trends and patterns in the phenomena that the data represents, and opens accessibility to understanding complicated human and natural processes represented by data sets. Research indicates that interacting with a visualization amplifies cognition and analysis. A single visualization may show only one facet of the data. To examine the data from multiple perspectives, engaged citizens need to be able to construct their own visualizations from a data set. Many tools for data visualization have responded to this need, allowing non-data experts to manipulate and gain insights into their data, but most of these tools are restricted to the computer screen, keyboard, and mouse. Cognition and analysis may be strengthened even more through embodied interaction with data. We present here the rationale for the design of a tool that allows users to probe a data set, through interactions with graspable (tangible) three-dimensional objects, rather than through a keyboard and mouse interaction. We argue that the use of tangibles facilitates understanding abstract concepts, and facilitates many concrete learning scenarios. Another advantage of using tangibles over screen-based tools is that they foster collaboration, which can promote a productive working and learning environment. We speculate that collaborative data exploration can be a productive educational activity for citizens in their communities and in the classroom, and we suggest our tool as a means to do this. How to reference this article Jofre, A. , Szigeti, S. , & Diamond, A. (2016). Citizen Engagement through Tangible Data Representation . Foro de Educacion , 14(20), 305-325. doi: http://dx.doi. org/10.14516/fde.2016. 014.020. 015
Fast panoramic face mosaicing and recognition

In this article, we present some development results of a system that performs mosaicing (or mosaicking) of panoramic faces. Our objective is to study the feasibility of panoramic face construction in real-time. To do so, we built a simple acquisition system composed of 5 standard cameras which, together, can take simultaneously 5 views of a face at different angles. Then, we chose an easily hardware-achievable algorithm, consisting of successive linear transformations, in order to compose a panoramic face from these 5 views. The method has been tested on a relatively large number of faces. In order to validate our system of panoramic face mosaicing, we also conducted a preliminary study on panoramic faces recognition, based on the principal component method. Experimental results show the feasibility and viability of our system.
Feature-Frequency–Adaptive On-line Training for Fast and Accurate Natural Language Processing

Training speed and accuracy are two major concerns of large-scale natural language processing systems. Typically, we need to make a tradeoff between speed and accuracy. It is trivial to improve the training speed via sacrificing accuracy or to improve the accuracy via sacrificing speed. Nevertheless, it is nontrivial to improve the training speed and the accuracy at the same time, which is the target of this work. To reach this target, we present a new training method, feature-frequency–adaptive on-line training, for fast and accurate training of natural language processing systems. It is based on the core idea that higher frequency features should have a learning rate that decays faster. Theoretical analysis shows that the proposed method is convergent with a fast convergence rate. Experiments are conducted based on well-known benchmark tasks, including named entity recognition, word segmentation, phrase chunking, and sentiment analysis. These tasks consist of three structured classification tasks and one non-structured classification task, with binary features and real-valued features, respectively. Experimental results demonstrate that the proposed method is faster and at the same time more accurate than existing methods, achieving state-of-the-art scores on the tasks with different characteristics.
Gene therapy for ischemic heart disease

Introduction: Coronary artery disease (CAD) is still the leading cause of death in industrialized nations. Even though revascularization strategies such as percutaneous coronary intervention (PCI) and coronary artery bypass graft surgery (CABG) as well as drug therapy have significantly reduced mortality, about 30% of patients will develop chronic heart failure over time. Ischemic heart disease and heart failure are characterized by an adverse remodeling of the heart, featuring cardiomyocyte hypertrophy, increased fibrosis and capillary rarification. Areas covered: Beside an assessment of current vector systems, this review focuses on potential target genes affecting angiogenesis/arteriogenesis and contractility. The potential of micro RNA (miRNA) modulation for the de-repression of survival and pro-angiogenic genes is discussed. Since gene therapy of the target region is preferable to avoid systemic contamination, application routes are discussed. Expert opinion: miRNAs are a promising new development for successful gene therapy, especially for acute myocardial infarction since their miRNA antagonists are easy to apply and appear to be selectively absorbed by the ischemic myocardial tissue. Rapid uptake and prolonged presence of known antimirs and antagomirs support this notion. For ischemic heart disease the most promising gene therapeutic approach seems to be the regional intravenous application of suitable AAV vectors and vascular growth factors, providing the full scope of angiogenesis, vessel maturation and collateral growth optionally combined with genes enhancing contractility.
Iop Publishing Journal of Micromechanics and Microengineering Squeeze-film Damping of Flexible Microcantilevers at Low Ambient Pressures: Theory and Experiment

An improved theoretical approach is proposed to predict the dynamic behavior of long, slender and flexible microcantilevers affected by squeeze-film damping at low ambient pressures. Our approach extends recent continuum gas damping models (Veijola 2004 J. Micromech. which were originally derived for a rigid oscillating plate near a wall, to flexible microcantilevers for calculating and predicting squeeze-film damping ratios of higher order bending modes at reduced ambient pressures. Theoretical frequency response functions are derived for a flexible microcantilever beam excited both inertially and via external forcing. Experiments performed carefully at controlled gas pressures are used to validate our theoretical approach over five orders of the Knudsen number. In addition, we investigate the relative importance of theoretical assumptions made in the Reynolds-equation-based approach for flexible microelectromechanical systems.
Digital-Forensics Based Pattern Recognition for Discovering Identities in Electronic Evidence

With the pervasiveness of computers and mobile devices, digital forensics becomes more important in law enforcement. Detectives increasingly depend on the scarce support of digital specialists which impedes efficiency of criminal investigations. This paper proposes and algorithm to extract, merge and rank identities that are encountered in the electronic evidence during processing. Two experiments are described demonstrating that our approach can assist with the identification of frequently occurring identities so that investigators can prioritize the investigation of evidence units accordingly.
The relation between Eigenfactor, audience factor, and influence weight

We present a theoretical and empirical analysis of a number of bibliometric indicators of journal performance. We focus on three indicators in particular, namely the Eigenfactor indicator, the audience factor, and the influence weight indicator. Our main finding is that the last two indicators can be regarded as a kind of special cases of the first indicator. We also find that the three indicators can be nicely characterized in terms of two properties. We refer to these properties as the property of insensitivity to field differences and the property of insensitivity to insignificant journals. The empirical results that we present illustrate our theoretical findings. We also show empirically that the differences between various indicators of journal performance are quite substantial.
SymPaD: Symbolic Patch Descriptor

We propose a new local image descriptor named SymPaD for image understanding. SymPaD is a probability vector associated with a given image pixel and represents the attachment of the pixel to a previously designed shape repertoire. As such the approach is model-driven. The SymPad descriptor is illumination and rotation invariant, and extremely flexible on extending the repertoire with any parametrically generated geometrical shapes and any desired additional transformation types.
Ultrasound-stimulated microbubble enhancement of radiation treatments: endothelial cell function and mechanism

Endothelial cell death caused by novel microbubble-enhanced ultrasound cancer therapy leads to secondary tumour cell death. In order to characterize and optimize these treatments, the molecular mechanisms resulting from the interaction with endothelial cells were investigated here. Endothelial cells (HUVEC) were treated with ultrasound-stimulated microbubbles (US/MB), radiation (XRT), or a combination of US/MB+XRT. Effects on cells were evaluated at 0, 3, 6, and 24 hours after treatment. Experiments took place in the presence of modulators of sphingolipid-based signalling including ceramide, fumonisin B1, monensin, and sphingosine-1-phosphate. Experimental outcomes were evaluated using histology, TUNEL, clonogenic survival methods, immuno-fluorescence, electron microscopy, and endothelial cell blood-vessel-like tube forming assays. Fewer cells survived after treatment using US/MB+XRT compared to either the control or XRT. The functional ability to form tubes was only reduced in the US/ MB+XRT condition in the control, the ceramide, and the sphingosine-1-phosphate treated groups. The combined treatment had no effect on tube forming ability in either the fumonisin B1 or in the monensin exposed groups, since both interfere with ceramide production at different cellular sites. In summary, experimental results supported the role of ceramide signalling as a key element in cell death initiation with treatments using US/MB+XRT to target endothelial cells.
Building a taxonomy for understanding knowledge management

As an interdisciplinary research field emerging recently, Knowledge Management (KM) has been given many different definitions. This paper introduces two studies we carried out to provide a holistic and better understanding of KM. By applying the methodology of domain analysis to investigate leading peer-reviewed journals regarding KM, the first study explores six fundamental issues regarding KM, which are: why is KM necessary; what enables the birth of KM and triggers actions on KM; what does KM deal with; how to implement KM; how to support KM by information technology; and where has KM been applied. By building an ontology structure of research topics within the community of the Graduate School of Knowledge Science at Japan Advanced Institute of Science and Technology (JAIST), the second study examines KM within a more general disciplinary called Knowledge Science, which gives a description of how KM is related to other research topics.
Mechanical filtering of sound in the inner ear

We have studied the distortion generated by the cochlea to gain insight into the mechanisms responsible for the sharp tuning or ‘frequency selectivity’ of the inner ear. We used two stimulating tones of moderate intensity which are progressively separated in frequency, and measured the ear canal cubic distortion components which are generated as a consequence of the stimulus interaction in the cochlea. We inferred that the distortion is generated from the frequency region of the higher of the two stimulus tones and that it is then band-pass filtered by a structure which is tuned to a frequency just over half an octave below that of the high-frequency tone. We suggest that the structure responsible for this band-pass filtering is the tectorial membrane, and we conclude that our results support theories of cochlear mechanics in which resonances due to the tectorial membrane interact with those of the basilar membrane to enhance the frequency selectivity of the inner ear.
The Early Decision Option in College Admission and Its Impact on Student Diversity

Colleges and universities that adopt early decision (ED) as an admission practice can generate additional resources by attracting wealthier students who make binding commitments to attend and forgo shopping for competing aid offers. An unanswered question is whether the resources generated from price discrimination are used by schools during the regular admission process to attract more diverse students. Using a sample of private national universities and liberal arts colleges, we model the choice to adopt an ED program and its impact on students’ racial and geographic diversity. We find that schools facing more competition for students are more likely to adopt an ED program. The overall heterogeneity of students is lower for schools that adopt ED, and heterogeneity decreases as schools enroll larger percentages of students through ED. Higher ED enrollment percentages appear to strongly and negatively affect Asian American and Hispanic students and positively affect white students.
A framework for automated testing of javascript web applications

Current practice in testing JavaScript web applications requires manual construction of test cases, which is difficult and tedious. We present a framework for feedback-directed automated test generation for JavaScript in which execution is monitored to collect information that directs the test generator towards inputs that yield increased coverage. We implemented several instantiations of the framework, corresponding to variations on feedback-directed random testing, in a tool called Artemis. Experiments on a suite of JavaScript applications demonstrate that a simple instantiation of the framework that uses event handler registrations as feedback information produces surprisingly good coverage if enough tests are generated. By also using coverage information and read-write sets as feedback information, a slightly better level of coverage can be achieved, and sometimes with many fewer tests. The generated tests can be used for detecting HTML validity problems and other programming errors.
Predictive Learning: Using Future Representation Learning Variantial Autoencoder for Human Action Prediction

The unsupervised Pretraining method has been widely used in aiding human action recognition. However, existing methods focus on reconstructing the already present frames rather than generating frames which happen in this http URL this paper, We propose an improved Variantial Autoencoder model to extract the features with a high connection to the coming scenarios, also known as Predictive Learning. Our framework lists as following: two steam 3D-convolution neural networks are used to extract both spatial and temporal information as latent variables. Then a resample method is introduced to create new normal distribution probabilistic latent variables and finally, the deconvolution neural network will use these latent variables generate next frames. Through this possess, we train the model to focus more on how to generate the future and thus it will extract the future high connected features. In the experiment stage, A large number of experiments on UT and UCF101 datasets reveal that future generation aids Prediction does improve the performance. Moreover, the Future Representation Learning Network reach a higher score than other methods when in half observation. This means that Future Representation Learning is better than the traditional Representation Learning and other state- of-the-art methods in solving the human action prediction problems to some extends.
Cloning and Characterization of Postsynaptic Density 93, a Nitric Oxide Synthase Interacting Protein

Nitric oxide (NO) formation in brain is regulated by the calcium/calmodulin dependence of neuronal NO synthase (nNOS). Calcium influx through NMDA-type glutamate receptors is efficiently coupled to nNOS activity, whereas many other intracellular calcium pathways are poorly coupled. To elucidate possible mechanisms responsible for this coupling, we performed yeast two-hybrid screening to identify proteins that interact with nNOS. Two nNOS interacting proteins were identified: the postsynaptic density proteins PSD-93 and PSD-95. Here, we report the cloning and characterization of PSD-93. PSD-93 is expressed in discrete neuronal populations as well as in specific non-neuronal cells, and it exhibits complex molecular diversity attributable to tissue-specific alternative splicing. PSD-93, like PSD-95, binds to nNOS and to the NMDA receptor 2B. PSD-93, however, is unique among PSD-95/SAP-90 family members in its expression in Purkinje neuron cell bodies and dendrites. We also demonstrate that the PDZ domain at the N terminus of nNOS is required, but it is not sufficient for interaction with PSD-93/95. Given that PSD-93 and PSD-95 each contain multiple potential binding sites for nNOS and the NMDA receptor, complexes involving oligomers of PSD-93/95 may help account for the functional as well as the physical coupling of nNOS to NMDA receptors.
Impact of device, context of use, and content on viewing experience of 360-degree tourism video

With the rapid advancement and development of emerging technologies, more in-depth understanding of user interactions and experiences are needed. In this study, we explored the reactions, impressions, and emotions elicited by a 360-degree video that markets an airport and local attractions for a distant destination. Differences in presence and viewing experiences on a mobile phone and VR headset were examined in two contexts: a semi-public setting and a private setting. Our results showed a preference for the private setting, not only because of distractions present in the semi-public location, but also due to social and cultural anxieties felt by participants. Furthermore, we suggest a set of guidelines that relate to the experiential elements of viewing 360-degree videos that can aid designers and researchers in the creation of unique content and novel services, in which we recommend establishing an emotional connection, providing engagement, guiding viewer attention, encouraging exploration, understanding the appropriate viewing context, and avoiding technical flaws.
Detection of Borrelia burgdorferi DNA in urine of patients with ocular Lyme borreliosis

AIM To evaluate the diagnostic value of the polymerase chain reaction (PCR) to detectBorrelia burgdorferi DNA in patients with ocular Lyme borreliosis. METHODS Of 256 consecutive uveitis patients six selected individuals with clinical evidence for Lyme borreliosis and 30 patients with non-Lyme uveitis were enrolled. Lyme serology was performed by ELISA and western blotting. Urine samples were examined by an optimised nested polymerase chain reaction (PCR) protocol. RESULTS Only four of six uveitis patients suspected for Lyme borreliosis were ELISA positive, while all six subjects showed a positive western blot.B burgdorferi PCR was positive in all of these six patients. Whereas two of the 30 controls had a positive Lyme serology, B burgdorferi DNA was not detectable by PCR in any sample from these patients. CONCLUSIONS PCR for the detection of B burgdorferi DNA in urine of uveitis patients is a valuable tool to support the diagnosis of ocular Lyme borreliosis. Moreover, these patients often show a weak humoral immune response which may more sensitively be detected by immunoblotting.
Modeling Research Competency of Faculty Member : A Preliminary Data

Research productivity of higher education institutions (HEIs) in Indonesia lags behind those in other countries in the region, that implicates their reputation. Because in aggregation, research productivity of HEI is the productivity of its faculty members, thus research competency of faculty members might be the factors that cause the low research productivity of those HEIs in Indonesia. Focusing on Faculty economics and Business, this paper aims to develop the model of research competency for faculty member. This paper show the analytical process used by author in modeling research competency using behavioral event interview (BEI). The preliminary data used in this paper consist of two subjects, the effective and outstanding performer, out of minimum seven respondents that have been targeted. The findings reveal that outstanding performer tend to show more people-focused behavior than task-focused behavior. It is consistent with the previous studies of competency modeling for professional / knowledge workers.
Rule Based Fuzzy(RBF) membership edge detection on hand phantom radiograph images

The paper proposes to prove the application of an adapted Rule Based Fuzzy(RBF) image detection in detecting periosteal and endosteal edges of hand phantom radiograph. The experimental data consists of four sets of hand phantom radiographs. Only the metacarpal 2, 3 and 4 are considered. The Rule Based Fuzzy is slightly modified due to the characteristic of the hand phantom radiograph. Mean and median filters are used as preprocessing tools. The analysis of the edges is done subjectively and statistically. As a whole, the proposed algorithm managed to identify the relevant edges of the periosteal and endosteal.