nils-herrmann/clean_scirepeval huggingface dataset:
Medical Model Influence in Counseling and Psychotherapy: Counseling Psychology Training Directors' Views
Year: 2006

MEDICAL MODEL INFLUENCE IN COUNSELING AND PSYCHOTHERAPY: COUNSELING PSYCHOLOGY TRAINING DIRECTORS' VIEWS Dallas R. Jensen Department of Counseling Psychology and Special Education Doctor of Philosophy The practice of counseling and psychotherapy is influenced by a number of ideologies, models, and paradigms. Among these, the medical model's influence is particularly salient. The ideology of the medical field pervades the theory, research, and practice of psychology and its influence deserves close examination. The few studies in this area that have been conducted are descriptive and basic in nature. The present study aimed to contribute richness and depth to conversations about medical model influence. By interviewing Counseling Psychology training directors and applying a qualitative analysis, this study provided the following themes that characterize views of the medical model's influence on professional practice: 1. Psychology can't afford to be dogmatic or deny reality, yet must critically examine the influence of the medical model. 2. Counseling Psychology has a lot to offer so get in the game. 3. The tension between medical model influence and the values of Counseling Psychology has increased. 4. The medical influence on research is a two edged sword we need to think complexly about our science. 5. Medical model focus on pathology is reductionistic and restrictive. 6. Preparing students for the "real world" medical influence on practice while trying to teach values of Counseling Psychology is at times a balancing act. 7. Cautious about Prescription Privilege: Are we trying to be physicians or psychologists? It is hoped that finding and reporting the themes that emerged will lead to increased discussion, thinking, consideration, and examination of the model's influence among counseling psychology professionals.
Neuroanatomy of the marmoset
Year: 2018

Neuroanatomy provides a solid basis for identifying and manipulating the neuronal circuits underlying brain functions. The common marmoset (Callithrix jacchus) is a relatively new primate model used in a broad range of biomedical research fields, including neuroscience. The marmoset brain shares a number of similarities with the human brain, including hierarchically organized sensory cortices and a highly developed prefrontal cortex. Here, we review the basic neuroanatomical organization of the marmoset brain by emphasizing the similarities and differences between the brains of marmosets and other primate species. Then, we discuss open questions and challenges associated with analyzing the neuroanatomical organization of marmoset brains.
Oil Tourism: Disasters and Destinations in Ecuador and the Philippines*
Year: 2009

This article examines the links between the petroleum and tourism industries by analyzing how an oil disaster, whether actual or perceived, may attract nature based tourism interests. To better understand the role of communities, local governments and/or the media in establishing links between the petroleum and tourism industries, this article explores how the construction of an oil pipeline in Ecuador and an oil spill in the Philippines created opportunities for tourism. Each case contributes to our understanding of how an oil disaster supports nature based tourism and how both industries supply a resource or an experience to nonlocal consumers, while converging to alter local communities, economies, and ecosystems. Indeed, tourism investments following a disaster may become a sideshow to the disaster that shifts attention from the disaster to participation in new economic opportunities. In addition, tourism may represent ecological alterations, which are more subtle, yet as damaging, as an oil disaster. The proposed model is then applied to two additional cases, the Exxon Valdez oil spill and Hurricane Katrina, to test its use in understanding other postdisaster developments.
Optical Fibre Sensor for Simultaneous Measurement of Capillary Refill Time and Contact Pressure
Venue: Sensors
Year: 2020

The widely applied capillary refill time (CRT) measurement is currently performed by manually applying pressure and using a stopwatch to record the time taken for the skin to recover its normal colour after a blanching pressure is applied. This method is highly subjective and observer dependent. This paper presents a new, integrated optical sensor probe, combining monitoring of the capillary refilling process with the blanching pressure applied. The sensor consists of an optical fibre based reflectance photoplethysmography (PPG) sensor to measure the reflected light signal, as well as a fibre Bragg grating (FBG) to measure the applied blanching pressure and to indicate the time when pressure is released. This sensor was applied to calculate the CRT (1.38 0.66 s) of 10 healthy adult volunteers with (55.2 21.8 kPa) blanching pressures. The form of the capillary refilling data was investigated by fitting using an exponential regression model (R2 0.96) The integrated probe has the potential to improve the reliability of CRT measurements by standardising the optimum duration and magnitude of the pressure.
Optimal sliding model error feedback control for relative motion of Lorentz augmented spacecraft
Year: 2018

Two typical relative motion control problems of Lorentz augmented spacecraft implemented in the Earth's magnetic field are studied and further discussed. The Lorentz force acts on a charged spacecraft that could actively generate and modulate when it is flying through a magnetic field, and provides a new concept of propellantless propulsion strategy for spacecraft formation flying and hovering system control. It is a fact that the directions of Lorentz force are limited by the local magnetic field. In view of this reason, it does not provide or satisfy the required control acceleration for spacecraft formation flying and hovering timely; therefore, it always works as an auxiliary strategy to reduce the fuel consumptions. Based on the above considerations, a dynamical model for relative motion of charged spacecraft, including the effects of the J2 perturbation and the Lorentz force, is derived and its application to spacecraft formation flying and hovering control problems are discussed. Then, the optimal sliding model error feedback control method is derived based on the novel dynamical model, which is proposed by theory integrating between optimal sliding model control theory and the principle of minimum sliding mode error. Moreover, the optimal design of the required charge for the Lorentz spacecraft and the thruster output control acceleration has been developed with details. It is shown that the proposed controller owns the advantages of the optimal control theory and has the ability to estimate and offset the unknown disturbances. The numerical simulations are performed to illustrate the efficacy of the proposed dynamical model and controller to maintain the spacecraft formation flying and hovering system with optimal fuel consumptions and high precision in the presence of the unknown disturbances.
Anterior Distal Tibial Epiphysiodesis for the Treatment of Recurrent Equinus Deformity After Surgical Treatment of Clubfeet
Venue: Journal of pediatric orthopedics
Year: 2011

The treatment of clubfeet has changed constantly. Before the acceptance of the Ponseti serial casting, extensive surgical release was widely used. The treatment of relapse in these surgically treated clubfeet can be very challenging. Many methods have been used ranging from osteotomies to new posteromedial release, or correction using the Ilizarov fixator. Supramalleolar osteotomy was practiced for the treatment of residual equinus. The aim of this study is to evaluate the effect of anterior epiphysiodesis of the distal tibia on recurrent equinus deformity in patients with clubfeet treated surgically.  We evaluated 25 children (31 feet) with recurrent equinus deformity after surgical treatment of clubfoot treated in our institution from 2003 through 2009. There were 16 boys and 9 girls, of whom 11 had recurrent equinus deformity on the left side, 8 on the right side, and 6 on the bilateral side. Three patients were treated with Richard staples and 22 were treated with 8 plates. Patients were examined clinically and radiologically, preoperatively. The mean dorsiflexion of the ankle was 2.5 degrees 5 to 10 degrees) and the anterior distal tibial angle (ADTA) was 85 degrees. The patients were followed postoperatively and evaluated clinically and radiographically. The plates or staples were removed if the desired effect of around 15 degrees of dorsiflexion was achieved, or the ADTA shifted >15 degrees.  Mean follow up was 22 months. Mean improval of dorsiflexion was 2 degrees, with a mean of dorsiflexion of 4.5 degrees, and mean radiological changes of ADTA were 13 degrees. We found no correlation between the radiographic changes and the clinically measured dorsiflexion.  The use of anterior distal tibial epiphysiodesis does not seem to give a clinically significant improvement in dorsiflexion of the ankle despite a marked shift in the ADTA.
Kognitive Dissonanz >Revisited<
Year: 2007

ZusammenfassungDiese Studie untersucht anhand der Theorie zur kognitiven Dissonanz, ob Nutzer eines Onlinemagazins solche Inhalte praferieren, die mit ihren Einstellungen zu politischen Themen ubereinstimmen. Anders als in fruheren Untersuchungen wird Dissonanz themenbezogen definiert und nicht durch Parteipraferenzen; uberdies wird die personliche Relevanz einbezogen. In einer zweistufigen Datenerhebung wurden zunachst Einstellungen und Relevanzeinschatzungen zu politischen Themen erhoben. In einer weiteren Sitzung waren die Teilnehmer gebeten, ein Onlinemagazin anzuschauen. Wahrend der Informationsnutzung zeichnete Software im Hintergrund die Selektionen und Lesezeiten auf. Die Befunde zeigen, dass sich die Leser insgesamt langer einstellungskonsistenten Informationen zuwandten. Dies war jedoch vor allem auf Personen mit hohen Einstufungen fur Themenrelevanz zuruckzufuhren. Leser mit geringen oder mittleren Werten fur Themenrelevanz verbrachten signifikant weniger Zeit mit einstellungskonsistenten Inhalten und signifikant mehr Zeit mit einstellungsinkonsistenten Informationen als Leser mit hohen Relevanzeinstufungen. Der Einfluss der Themenrelevanz wird als Erklarung fur uneinheitliche Befunde zu kognitiver Dissonanz und Mediennutzung diskutiert.AbstractUsing the theory of cognitive dissonance, this study investigates whether users of an online magazine prefer contents that agrees to their attitudes to political issues. In contrast to earlier studies, dissonance is defined issue specifically rather than by party identification. Moreover, personal relevance is also included. In a two step data collection, attitudes and relevance assessments were measured first. Participants were asked in a second session to look at an online magazine. Background software recorded the selection of and the time spent with specific contents as participants looked at the magazine. Results show that users spent more time with attitude consistent information. This was, however, mostly due to persons who had rated issue relevance high. Users with low or moderate rating for issue relevance spent significantly less time with attitude consistent content and significantly more time with attitude inconsistent information, as compared with users with high relevance ratings. The influence of issue relevance is discussed as an explanation of contradictory results on cognitive dissonance and media use.
Body Joint Guided 3 D Deep Convolutional Descriptors for Action Recognition
Venue: IEEE Transactions on Cybernetics
Year: 2018

3 D convolutional neural networks (3 D CNNs) have been established as a powerful tool to simultaneously learn features from both spatial and temporal dimensions, which is suitable to be applied to video based action recognition. In this paper, we propose not to directly use the activations of fully connected layers of a 3 D CNN as the video feature, but to use selective convolutional layer activations to form a discriminative descriptor for video. It pools the feature on the convolutional layers under the guidance of body joint positions. Two schemes of mapping body joints into convolutional feature maps for pooling are discussed. The body joint positions can be obtained from any off the shelf skeleton estimation algorithm. The helpfulness of the body joint guided feature pooling with inaccurate skeleton estimation is systematically evaluated. To make it end to end and do not rely on any sophisticated body joint detection algorithm, we further propose a two stream bilinear model which can learn the guidance from the body joints and capture the spatio temporal features simultaneously. In this model, the body joint guided feature pooling is conveniently formulated as a bilinear product operation. Experimental results on three real world datasets demonstrate the effectiveness of body joint guided pooling which achieves promising performance.
Surveys, samplings and botched US presidential election predictions.
Venue: European journal of anaesthesiology
Year: 2012

In this issue of the European Journal of Anaesthesiology, van Gelder et al. present a cross sectional survey which aims to describe the practice of preoperative cardiac testing among European anaesthesiologists. On the basis of 359 responses from 17 countries, the investigators found considerable variation in the reported frequency of, and indications for, preoperative testing. Additionally, half of respondents reported not adhering to practice guidelines for preoperative testing, and most supported reducing, if not eliminating, routine preoperative testing.
Impact of Packaging to Consumer Behavior on Incense Product in Indonesia
Year: 2020

This study was done to establish the correlation between packaging and consumer's buying behavior. The main purpose of this research is to find out the determining factors that affect the success of a brand. This research also indicates and count in the factors between the dependent and independent variables. This is the primary research and data has been collected through questionnaire and for analysis purpose SPSS software has been used. Researchers have collected and analyze 175 data from respondents to test the reliability of the model. The conclusion of the finding in this research is that packaging is one of the determining factors of branding and could be the make or break factors for customers to decide whether they would purchase a product. Each element is of utmost importance to be observed; namely colors, packaging materials, and design.
Prevalencia de prescripcion del acido acetilsalicilico a dosis bajas en prevencion primaria en poblacion espanola, evolucion temporal y factores asociados
Year: 2020

Resumen Antecedentes y objetivo El uso del acido acetilsalicilico a dosis bajas (AAS DB) en prevencion primaria es motivo de controversia, pero se desconoce su magnitud en Espana. El objetivo del estudio fue estimar la proporcion de pacientes a los que se prescribio AAS DB como prevencion primaria durante el periodo 2002 2015 e identificar sus caracteristicas. Metodos En una muestra de la base de datos de atencion primaria para la investigacion farmacoepidemiologica (BIFAP) se obtuvo la proporcion de personas con prescripciones de AAS DB, excluyendo los pacientes con enfermedad vascular oclusiva, fibrilacion auricular y cancer. Las proporciones se estandarizaron para la poblacion espanola de 40 99 anos. Se construyo un modelo de regresion logistica para identificar los factores asociados a la prescripcion de AAS DB y se estimo su prevalencia segun la combinacion de dichos factores. Resultados Se incluyeron 102.850 sujetos, 6.198 de ellos usuarios de AAS DB. La prevalencia estandarizada fue del 2,21% al comienzo del periodo y del 3,57% al final. La prescripcion aumento con la edad. Los factores mas asociados fueron diabetes (OR 3,26; IC 95% 3,07 3,47) dislipidemia (OR 2,08; 1,96 2,21) insuficiencia cardiaca (OR 2,02; 1,72 2,37) e hipertension (OR 1,78; 1,67 1,90) La prevalencia de prescripcion de AAS DB alcanzo el 33,7% en mayores de 70 anos con diabetes, hipertension y dislipidemia. Conclusiones En el periodo estudiado la prescripcion de AAS DB para prevencion primaria en Espana fue baja en la poblacion general, pero elevada en pacientes diabeticos mayores de 70 anos con factores de riesgo adicionales. Despues de anos de controversia parece necesario adecuar el uso de este farmaco en prevencion primaria a las recomendaciones actuales.
Asymptotic normality for random polytopes in non Euclidean geometries
Year: 2019

Asymptotic normality for the natural volume measure of random polytopes generated by random points distributed uniformly in a convex body in spherical or hyperbolic spaces is proved. Also the case of Hilbert geometries is treated and central limit theorems in Lutwak's dual Brunn Minkowski theory are established. The results follow from a central limit theorem for weighted random polytopes in Euclidean spaces. In the background are Stein's method for normal approximation and geometric properties of weighted floating bodies.
CLOSURE: Assessing Systematic Generalization of CLEVR Models
Venue: ViGIL@NeurIPS
Year: 2019

The CLEVR dataset of natural looking questions about 3D rendered scenes has recently received much attention from the research community. A number of models have been proposed for this task, many of which achieved very high accuracies of around 97 99% In this work, we study how systematic the generalization of such models is, that is to which extent they are capable of handling novel combinations of known linguistic constructs. To this end, we test models' understanding of referring expressions based on matching object properties (such as e.g. "the object that is the same size as the red ball" in novel contexts. Our experiments on the thereby constructed CLOSURE benchmark show that state of the art models often do not exhibit systematicity after being trained on CLEVR. Surprisingly, we find that an explicitly compositional Neural Module Network model also generalizes badly on CLOSURE, even when it has access to the ground truth programs at test time. We improve the NMN's systematic generalization by developing a novel Vector NMN module architecture with vector valued inputs and outputs. Lastly, we investigate the extent to which few shot transfer learning can help models that are pretrained on CLEVR to adapt to CLOSURE. Our few shot learning experiments contrast the adaptation behavior of the models with intermediate discrete programs with that of the end to end continuous models.
Dynamical Modeling, Analysis, and Control of Information Diffusion over Social Networks: A Deep Learning Based Recommendation Algorithm in Social Network
Venue: Discrete Dynamics in Nature and Society
Year: 2020

The recommendation algorithm can break the restriction of the topological structure of social networks, enhance the communication power of information (positive or negative) on social networks, and guide the information transmission way of the news in social networks to a certain extent. In order to solve the problem of data sparsity in news recommendation for social networks, this paper proposes a deep learning based recommendation algorithm in social network (DLRASN) First, the algorithm is used to process behavioral data in a serializable way when users in the same social network browse information. Then, global variables are introduced to optimize the encoding way of the central sequence of Skip gram, in which way online users' browsing behavior habits can be learned. Finally, the information that the target users' have interests in can be calculated by the similarity formula and the information is recommended in social networks. Experimental results show that the proposed algorithm can improve the recommendation accuracy.
Linear Interaction Energy Based Prediction of Cytochrome P450 1A2 Binding Affinities with Reliability Estimation
Venue: PloS one
Year: 2015

Prediction of human Cytochrome P450 (CYP) binding affinities of small ligands, i.e. substrates and inhibitors, represents an important task for predicting drug drug interactions. A quantitative assessment of the ligand binding affinity towards different CYPs can provide an estimate of inhibitory activity or an indication of isoforms prone to interact with the substrate of inhibitors. However, the accuracy of global quantitative models for CYP substrate binding or inhibition based on traditional molecular descriptors can be limited, because of the lack of information on the structure and flexibility of the catalytic site of CYPs. Here we describe the application of a method that combines protein ligand docking, Molecular Dynamics (MD) simulations and Linear Interaction Energy (LIE) theory, to allow for quantitative CYP affinity prediction. Using this combined approach, a LIE model for human CYP 1A2 was developed and evaluated, based on a structurally diverse dataset for which the estimated experimental uncertainty was 3.3 kJ mol 1. For the computed CYP 1A2 binding affinities, the model showed a root mean square error (RMSE) of 4.1 kJ mol 1 and a standard error in prediction (SDEP) in cross validation of 4.3 kJ mol 1. A novel approach that includes information on both structural ligand description and protein ligand interaction was developed for estimating the reliability of predictions, and was able to identify compounds from an external test set with a SDEP for the predicted affinities of 4.6 kJ mol 1 (corresponding to 0.8 pK i units)