varunr14/newsummary huggingface dataset:
Psychotherapy process research examines the content of treatment sessions and their association with outcomes in an attempt to better understand the interactions between therapists and clients and to elucidate mechanisms of behavior change . A similar approach is possible in technology delivered interventions which have an interaction process that is always perfectly preserved and rigorously definable . The present study sought to examine the process of participants interactions with a computer delivered brief intervention for drug use from a study comparing computer and therapist delivered brief interventions among adults at two primary health care centers in New Mexico . Specifically we sought to describe the pattern of participants choices and reactions throughout the computer delivered brief intervention and to examine associations between that process and intervention response at 3 month follow up . Participants were most likely to choose marijuana as the first substance they wished to discuss . Most participants indicated that they had not experienced any problems as a result of their drug use but nearly a third of these nevertheless indicated a desire to stop or reduce its use participants who did report negative consequences were most likely to endorse financial or relationship concerns . However participant ratings of the importance of change or of the helpfulness of personalized normed feedback were unrelated to changes in substance use frequency . Design of future e interventions should consider emphasizing possible benefits of quitting rather than the negative consequences of drug use and when addressing consequences should consider focusing on the impacts of substance use on relationship and financial aspects . These findings are an early but important step toward using process evaluation to optimize e intervention content . 


Summary: Process variables in eHealth interventions such as choices made during an interactive intervention are readily available. Such variables can provide insight into how participants use eHealth interventions. Correlations between choices and outcomes may also guide intervention optimization and future research. Among screen positive adults in primary care 108 60.7 denied any problems as a result of their drug use. Participant ratings of the importance of change were unrelated to changes in substance use frequency.
Growth models have the capability of studying change at the group as well as the individual level . In addition these methods have documented advantages over traditional data analytic approaches in the analysis of repeated measures data . These advantages include but are not limited to the ability to incorporate time varying predictors handle dependence among repeated observations in a very flexible manner and to provide accurate estimates with missing data under fairly unrestrictive missing data assumptions . The flexibility of the growth curve modeling approach to the analysis of change makes it the preferred choice in the evaluation of direct indirect and moderated intervention effects . Although offering many benefits growth models present challenges in terms of design analysis and reporting of results . This paper provides a nontechnical overview of growth models in the analysis of change in randomized experiments and advocates for their use in the field of internet interventions . Practical recommendations for design analysis and reporting of results from growth models are provided . 


Summary: This paper provides a nontechnical overview of growth models. I advocate for these methods use in the field of internet interventions. Recommendations for design analysis and reporting of results are provided.
The aim of this pilot study was to explore the effects of an early and customized CBT intervention mainly delivered via internet for adolescents with coexisting recurrent pain and emotional distress . The intervention was based on a transdiagnostic approach to concurrently target pain and emotional distress . A single case experimental design was employed with six participants 17 21years old who were recruited via school health care professionals at the student health care team at an upper secondary school in a small town in Sweden . The intervention consisted of 5 9 modules of CBT delivered via internet in combination with personal contacts and face to face sessions . The content and length of the program was customized depending on needs . The effects of the program were evaluated based on self report inventories which the participants filled out before and after the intervention and at a six month follow up . They did also fill out a diary where they rated symptoms on a daily basis . The results were promising at least when considering changes during the intervention as well as pre and posttest ratings . However the results were more modest when calculating the reliable change index and most of the treatment effects were not sustained at the follow up assessment which raises questions about the durability of the effects . Taken together this study indicates that this type of program is promising as an early intervention for adolescents with pain and concurrent emotional distress although the outcomes need to be explored further especially in terms of long term effects . 


Summary: I CBT has not been used as an early intervention for adolescents with coexisting pain and emotional distress The aim of this pilot study was to explore the effects of early I CBT for adolescents with pain and emotional distress The intervention consisted of 5 9 modules of customized I CBT combined with personal support The effects were quite modest and larger studies are needed to further explore the outcomes
We present the project Asteroids @ home that uses distributed computing to solve the time consuming inverse problem of shape reconstruction of asteroids . The project uses the Berkeley Open Infrastructure for Network Computing framework to distribute collect and validate small computational units that are solved independently at individual computers of volunteers connected to the project . Shapes rotational periods and orientations of the spin axes of asteroids are reconstructed from their disk integrated photometry by the lightcurve inversion method . 


Summary: Asteroids@home is a distributed computing project. It runs in the framework of Berkeley Open Infrastructure for Network Computing. Shape models of asteroids are reconstructed from disk integrated photometry.
The aims of the current study were to 1 establish the efficacy of two Internet based prevention programmes to reduce anxiety and depressive symptoms in adolescents and 2 investigate the distribution of psychological symptoms in a large sample of Australian adolescents prior to the implementation of the intervention . A cluster randomised controlled trial was conducted with 976 Year 9 10 students from twelve Australian secondary schools in 2009 . Four schools were randomly allocated to the Anxiety Internet based prevention programme five schools to the Depression Internet based prevention programme and three to their usual health classes . The Thiswayup Schools for Anxiety and Depression prevention courses were presented over the Internet and consist of 6 7 evidence based curriculum consistent lessons to improve the ability to manage anxiety and depressive symptoms . Participants were assessed at baseline and post intervention . Data analysis was constrained by both study attrition and data corruption . Thus post intervention data were only available for 265 976 students . Compared to the control group students in the depression intervention group showed a significant improvement in anxiety and depressive symptoms at the end of the course whilst students in the anxiety intervention demonstrated a reduction in symptoms of anxiety . No significant differences were found in psychological distress . The Thiswayup Schools Depression and Anxiety interventions appear to reduce anxiety and depressive symptoms in adolescents using a curriculum based blended online and offline cognitive behavioural therapy programme that was implemented by classroom teachers . Given the study limitations particularly the loss of post intervention data these findings can only be considered preliminary and need to be replicated in future research . 


Summary: This study presents baseline data on screening scales in a large sample of Australian adolescents. This study presents baseline data on suicidal ideation in Australian adolescents. This school based intervention reduced symptoms of anxiety and depression. Given the study limitations these findings can only be considered tentative.
In this study a new methodology in predicting a system output has been investigated by applying a data mining technique and a hybrid type II fuzzy system in CNC turning operations . The purpose was to generate a supplemental control function under the dynamic machining environment where unforeseeable changes may occur frequently . Two different types of membership functions were developed for the fuzzy logic systems and also by combining the two types a hybrid system was generated . Genetic algorithm was used for fuzzy adaptation in the control system . Fuzzy rules are automatically modified in the process of genetic algorithm training . The computational results showed that the hybrid system with a genetic adaptation generated a far better accuracy . The hybrid fuzzy system with genetic algorithm training demonstrated more effective prediction capability and a strong potential for the implementation into existing control functions . 


Summary: A new methodology in predicting a CNC machining output has been investigated. A data mining technique and a hybrid type II fuzzy system are applied. Two different types of membership functions were created to generate a hybrid system. Fuzzy rules are automatically modified in the process of genetic algorithm training. The results showed that the hybrid system generated a far better accuracy.
There is evidence from randomized control trials that internet based cognitive behavioral therapy is efficacious in the treatment of anxiety and depression and recent research demonstrates the effectiveness of iCBT in routine clinical care . The aims of this study were to implement and evaluate a new pathway by which patients could access online treatment by completing an automated assessment rather than seeing a specialist health professional . We compared iCBT treatment outcomes in patients who received an automated pre treatment questionnaire assessment with patients who were assessed by a specialist psychiatrist prior to treatment . Participants were treated as part of routine clinical care and were therefore not randomized . The results showed that symptoms of anxiety and depression decreased significantly with iCBT and that the mode of assessment did not affect outcome . That is a pre treatment assessment by a psychiatrist conferred no additional treatment benefits over an automated assessment . These findings suggest that iCBT is effective in routine care and may be implemented with an automated assessment . By providing wider access to evidence based interventions and reducing waiting times the use of iCBT within a stepped care model is a cost effective way to reduce the burden of disease caused by these common mental disorders . 


Summary: We examined the effectiveness of internet CBT in routine clinical care. Patients underwent an automated assessment or an assessment by a psychiatrist. Both groups showed significant improvement in symptoms of anxiety and depression. There were no differences between groups at post treatment. Automated assessments can lead to good treatment outcomes in etherapy.
Geriatric depression is a pathological process that causes a great number of symptoms resulting in limited mental and physical functionality . The computation of oscillatory and synchronization patterns in certain brain areas may facilitate the early and robust identification of depressive symptoms . In this study electroencephalographic data were recorded from 34 participants suffering from both cognitive impairment and geriatric depression and 32 control subjects . Both groups were matched according to their cognitive status . The study aims at evaluating neurophysiological features of elderly participants suffering from depression and neurodegeneration . The current work focuses on the identification of depression symptoms that coexist with cognitive decline the correlation of the examined neurophysiological features with geriatric depression combined with cognitive impairment and the investigation of the role of data mining techniques in the analysis of EEG data . The EEG features were estimated through synchronization analysis . Depressive patterns were detected through data mining techniques . Random Forest Random Tree Multilayer Perceptron and Support Vector Machines were employed for data classification . The efficiency of the classifiers varied from 92.42 to 95.45 . Random Forest demonstrated the highest accuracy . Both synchronization and oscillatory features contributed to the decision trees formation with the former prevailing . Moreover synchronization features significantly contributed to the decision trees formation . In line with previous neuroscientific findings synchronization among right frontal midline anteriofrontal regions showed great correlation with depressive symptoms . Evaluation of the classifiers indicated the Random Forest as being the most robust algorithm . Synchronization of certain brain regions is more indicative of identifying depression symptoms than oscillatory since synchronization features contributed the most to the formation of the classification trees . 


Summary: Depressive signs in concurrent cognitive decline are detected through mining EEG resting state activity. Random Forest Random Tree MLP Network and Support Vector Machines SVM are employed for data classification. Random Forest demonstrated the highest accuracy. Synchronization features significantly contributed to the decision tree formation.
Objectives The first aim of this study was to describe parental attitudes towards and intentions to access computer based therapies for youth mental health problems . The second aim was to assess parental factors predicting attitudes and intentions to access computer based therapies for youth . Method Three hundred and seventy three Australian parents completed an online survey measuring demographics mental health service experience personality technology factors mental health knowledge and attitudes perceived benefits problems and helpfulness of computer based therapies and intentions to access services . Results Approximately 50 of parents reported accessing support for their child s mental health yet only 6 had used a computer based therapy . The majority of parents strongly endorsed all benefits of computer based therapies and appeared relatively less concerned by potential service problems . Computer based therapies were perceived as somewhat to extremely helpful by 87 of parents and 94 indicated that they would utilise a computer based therapy if their child required support and one was offered to them . Parental knowledge of computer based therapies significantly predicted perceived helpfulness p .001 and intentions to access p .001 computer based therapies above that of parent demographic characteristics clinical factors and engagement with technology . Conclusions Australian parents hold positive attitudes to the use of computer based therapies . 


Summary: Parents act as gatekeepers to mental health services for children and adolescents. Parents reported their attitudes towards computer based therapies for young people. 94 of parents would access a computer based therapy if their child needed support. Computer based therapy knowledge predicted perceived helpfulness and use intentions. Parents hold positive attitudes to the use of computer based therapies.
In recent years the automotive industry has known a remarkable development in order to satisfy the customer requirements . In this paper we will study one of the components of the automotive which is the twist beam . The study is focused on the multicriteria design of the automotive twist beam undergoing linear elastic deformation . Indeed for the design of this automotive part there are some criteria to be considered as the rigidity and the resistance to fatigue . Those two criteria are known to be conflicting therefore our aim is to identify the Pareto front of this problem . To do this we used a Normal Boundary Intersection algorithm coupling with a radial basis function metamodel in order to reduce the high calculation time needed for solving the multicriteria design problem . Otherwise we used the free form deformation technique for the generation of the 3D shapes of the automotive part studied during the optimization process . 


Summary: We model the automotive twist beam. We developed an algorithm to solve multicriteria optimization problem. We solve our industrial problem with our developed algorithm. New profiles of the twist beam are proposed.
Many trials on Internet delivered psychological treatments have had problems with nonadherence but not much is known about the subjective reasons for non adhering . The aim of this study was to explore participants experiences of non adherence to Internet delivered psychological treatment . Grounded theory was used to analyze data from seven in depth interviews with persons who had non adhered to a study on Internet delivered cognitive behavioral therapy for generalized anxiety disorder . The process of non adherence is described as an interaction between patient factors and treatment factors . A working model theory was generated to illustrate the experience of nonadherence . The model describes a process where treatment features such as workload text content complexity and treatment process don t match personal prerequisites regarding daily routines perceived language skills and treatment expectations respectively resulting in the decision to nonadhere . Negative effects were also stated as a reason for non adherence . Several common strategies used for increasing adherence to Internet delivered therapy in general are by these non completers regarded as factors directly related to their reason for non adherence . 


Summary: Qualitative study on experiences of non adherence to Internet delivered treatment Explores treatment features relevant to participants experience of premature treatment termination Explores negative effects
Mean field models of the mammalian cortex treat this part of the brain as a two dimensional excitable medium . The electrical potentials generated by the excitatory and inhibitory neuron populations are described by nonlinear coupled partial differential equations that are known to generate complicated spatio temporal behaviour . We focus on the model by Liley et al . 67 113 . Several reductions of this model have been studied in detail but a direct analysis of its spatio temporal dynamics has to the best of our knowledge never been attempted before . Here we describe the implementation of implicit time stepping of the model and the tangent linear model and solving for equilibria and time periodic solutions using the open source library PETSc . By using domain decomposition for parallelization and iterative solving of linear problems the code is capable of parsing some dynamics of a macroscopic slice of cortical tissue with a sub millimetre resolution . 


Summary: A parallel open source implementation of Liley s mean field cortex model in PETSc. We implement fully implicit time integration of nonlinear and variational equations. We perform equilibrium continuation with computation of inhomogeneous eigenmodes. We compute periodic solutions with Newton Krylov iteration.
The increasing number of astronomical surveys in mid and far infrared as well as in submillimetre and radio wavelengths brings more difficulties to the already challenging task of detecting sources in an automatic way . These specific images are characterized by a more complex background than in shorter wavelengths with a higher level of noise more noticeable flux variations and both unresolved and extended sources with a higher dynamic range . In order to improve the source detection efficiency in long wavelength images in this paper we present a new approach based on the combined use of a multiscale decomposition and a recently developed method called Distilled Sensing . Its application minimizes the impact of the contaminants from the background unveiling and highlighting the sources at the same time . The experimental results achieved using infrared and radio images illustrate the good performance of the approach identifying greater percentages of true sources than using both the widely used SExtractor algorithm and the Distilled Sensing method alone . 


Summary: A new approach to detect sources in long wavelength images is presented. It is based on a multiscale decomposition and a method called Distilled Sensing. The method is tested against real infrared and radio images. The performance of the method is compared to reference state of the art algorithms.
Several solutions have been proposed till date to achieve effective replication policies and admission control methods that can ensure a high Quality of Service to Video on Demand systems . In this paper we have chosen to study admission control and a replication strategy in a video on demand system called Feedback Control Architecture for Distributed Multimedia Systems . The proposed approaches are founded on the supervision and auto adaptation of the system load continued knowledge of the network and of the video servers workload and the development of a dynamic replication strategy of segments for popular video that remade to replica placement problem by discussing the problem of the replicas number to create . The workload of video servers and of network are calculated by a QoS controller . The proposed approach takes into account of replica detail and offers a replica removal policy to avoid waste and for a good management of storage space . The goal is to maintain an updated broad view of the system s behaviour from the collected measurements to databases of available videos and databases of available video servers . To demonstrate the efficiency and feasibility of our approaches and validate the results obtained we conducted a series of experiments based on a simulator that we implemented . 


Summary: Development of a dynamic replication strategy of segments for popular video. Proposing an approach that can provide admissions control for all VoD systems. It addresses the following challenges resource allocation and several algorithms for scheduling policies. Application of a measurement algorithm. Application of a decision algorithm. To demonstrate the efficiency and feasibility of our approaches and validate the results obtained we conducted a series of experiments.
We propose a new hybrid algorithm for incompressible micro and nanoflows that applies to non isothermal steady state flows and does not require the calculation of the Irving Kirkwood stress tensor or heat flux vector . The method is validated by simulating the flow in a channel under the effect of a gravity like force with bounding walls at two different temperatures and velocities . The model shows very accurate results compared to benchmark full MD simulations . In the temperature results in particular the contribution of viscous dissipation is correctly evaluated . 


Summary: An atomistic continuum hybrid model for incompressible fluids is proposed. The model handles both momentum and heat transfer. Comparison with full MD benchmarks is very good. For large geometries the computational savings are large. Three methods for drastically reducing numerical noise are proposed.