nils-herrmann/clean_scirepeval huggingface dataset:
Stories of trauma in family therapy with refugees: Supporting safe relational spaces of narration and silence
Venue: Clinical child psychology and psychiatry
Year: 2018

With the sharp increase of refugees' arrival and resettlement in western communities, adequate mental health care forms a pivotal dimension in host societies' responses to those individuals and communities seeking protection within their borders. Here, clinical literature shows a growing interest in the development of family therapy approaches with refugees, in which therapeutic practice engages with the pivotal role of refugee family dynamics in posttrauma reconstruction and adaptation in resettlement and aims at supporting posttrauma reconstruction through strengthening capacities to restore safety, meaning and connectedness within family relationships. In this article, we focus on the narrative restoration of meaning as central mode of posttrauma reparation and explore its specific dynamics and relational complexities in the context of therapeutic practice with refugee families. Hereto, we integrate theoretical and clinical scholarly work on trauma narration and its intersection with empirical findings on trauma communication in refugee families. Furthermore, we develop case reflections to illustrate different processes of engaging with trauma narration in refugee family therapy. This analysis develops an understanding of the multivoiced ways in which refugee families engage with traumatic suffering through different modes of expression that may entail both narration and silence and explores how family therapeutic practices can engage and mobilize voices of narration and silence as relational stories of restoration.
New trial of convection enhanced drug delivery (CED) in DIPG applying the SIOPe DIPG survival prediction model for power calculation.
Venue: Neuro Oncology
Year: 2019

In diffuse intrinsic pontine glioma (DIPG) drug resistance is in part due to inadequate penetration of blood brain barrier (BBB) by systemically administered drugs. Convection enhanced drug delivery (CED) techniques have been established to bypass BBB. Trial design to measure efficacy requires evidence to justify power calculation. To apply SIOPe DIPG registry survival prediction tool to pilot cohort of children with DIPG treated with CED of carboplatin and sodium valproate. Case note and imaging review of 9 children with typical DIPG on imaging who were treated on compassionate basis with CED intra tumoural infusions of carboplatin (0.12 mg/ml) and sodium valproate (14.4 mg/ml) after radiotherapy (n=9) and chemotherapy (n=4) Each had Renishaw device placed with 4 micro catheters located within tumour mass. Up to 8 treatment cycles of CED infusions delivered through 2 pairs of catheters on 2 days to encompass pontine tumour volume. Survival prediction was performed using clinical criteria: age, sex, duration of symptoms, prior chemotherapy; and radiological criteria: absence of distant metastases; disease involving more than 50% of, and confined to, pons, ring enhancement at diagnosis. Cases were categorized as intermediate or high risk using SIOPe risk scoring with predicted median overall survival (OS) of 9.7, and 7.0 months, respectively. Four patients, categorized as high risk, had median overall survival (OS) of 14.2 months. Five children, categorized as standard risk, had median OS of 16.0 months. Results justify a phase 2 trial of CED carboplatin and sodium valproate powered to detect at least 4 month prolongation of survival.
Big brother's little sister: the ideological construction of women's super league
Year: 2019

This article explores the structure and culture of the Football Association (FA) in relation to the development of England's first semiprofessional female soccer league Women's Super League (WSL) Through observations and interviews, we examined the planning and operationalization of WSL. Drawing on critical feminist literature and theories of organizational change, we demonstrate the FA's shift from tolerance of the women's game, through opposition, to defining and controlling elite female club football as a new product shaped by traditional conceptualizations of gender. The labyrinthine structures of the FA abetted the exclusion of pre WSL stakeholders, allowing the FA to fashion a League imagined as both qualitatively different to elite men's football in terms of style of play, appealing to a different fan base, yet inextricably bound to men's clubs for support. It concludes by providing recommendations for how organizational change might offer correctives to the FA approach to developing WSL.
Perspectives on 3D ToF sensor SoC integration for user interface application
Venue: 2012 International SoC Design Conference (ISOCC)
Year: 2012

System on a chip integration of three dimensional time of flight image sensor invokes several technical issues, which are different from the case of conventional two dimensional CMOS image sensor. In this paper, we review several technical issues with examples of several cases, and suggest solutions especially in view point of pixel design.
Detection of Basic Human Physical Activities With Indoor Outdoor Information Using Sigma Based Features and Deep Learning
Venue: IEEE Sensors Journal
Year: 2019

The devices created on account of the developments in wearable technology are increasingly becoming a part of our daily lives. In particular, sensors have enhanced the usefulness of such devices. The aim of this paper is to detect human physical activity along with indoor/outdoor information by using mobile phones and a separate oxygen saturation sensor. There is no relevant dataset in the literature for this type of detection. For this purpose, data from four different types of human physical activity was collected through mobile phone and oxygen saturation sensors; 12 people aged between 20 65 years participated in the study. During the data collection process, different physical activities under different environmental conditions were performed by the subjects in 10 min. As a next step, a novel deep neural network (DNN) model specifically designed for physical activity recognition was proposed. In order to improve accuracy and reduce the computational complexity, standard deviation (sigma) based features were introduced. To evaluate its efficacy, we conducted comparisons with selected machine learning algorithms on our proposed dataset. The results on our dataset indicate that the multimodal sigma based features give the best classification accuracy of 81.60% using our proposed DNN method. Furthermore, the accuracy of the classification made with our proposed DNN method without sigma based features was 79.04%
Decontamination of the Infected Implant Surface: A Scanning Electron Microscope Study.
Venue: The International journal of periodontics restorative dentistry
Year: 2020

A number of treatment options have been explored for peri implantitis. Seven rough surfaced implants that failed from peri implantitis were retrieved. Surfaces were treated by different methods: saline, chlorhexidine, citric acid, 35% phosphoric acid etch gel, hydrogen peroxide, implantoplasty, airborne particle abrasion, laser, and titanium brush. Implants were observed under scanning electron microscopy. Chemical agents failed to remove any biologic debris. Airborne particle abrasion, laser, and titanium brush removed part of the biologic debris, and implantoplasty showed complete biologic debris removal. In ex vivo failed implants, implantoplasty showed complete disturbance and removal of bacterial biofilm.
Big data: Issues, challenges, tools and Good practices
Venue: 2013 Sixth International Conference on Contemporary Computing (IC3)
Year: 2013

Big data is defined as large amount of data which requires new technologies and architectures so that it becomes possible to extract value from it by capturing and analysis process. Due to such large size of data it becomes very difficult to perform effective analysis using the existing traditional techniques. Big data due to its various properties like volume, velocity, variety, variability, value and complexity put forward many challenges. Since Big data is a recent upcoming technology in the market which can bring huge benefits to the business organizations, it becomes necessary that various challenges and issues associated in bringing and adapting to this technology are brought into light. This paper introduces the Big data technology along with its importance in the modern world and existing projects which are effective and important in changing the concept of science into big science and society too. The various challenges and issues in adapting and accepting Big data technology, its tools (Hadoop) are also discussed in detail along with the problems Hadoop is facing. The paper concludes with the Good Big data practices to be followed.
Analysis on the Use of Accounting Information in Internet of Things Economy
Year: 2021

With China entering the 21st century, the market economy has started to grow rapidly, and the internal accounting information system of enterprises has been improved accordingly. After the reform and opening up, China's socialist market economy has developed rapidly. At the same time, in recent years, China's Internet of Things technology has been well developed and achieved good results. Accounting informatization construction under the condition of Internet of Things needs the attention of the state and society, and also needs the participation of professional talents to ensure the rapid development of Internet of Things technology in China. The development of accounting informatization has been based on the innovation and application of information technology. The Internet of things is the product of the highly developed information technology. The rapid development of the Internet of things will have a profound impact on the development of accounting information. This paper briefly analyzes and explains the development path of accounting informatization under the condition of Internet of things, explains the related concepts of Internet of things, and expounds the importance of Internet of things to the development of accounting informatization.
An Improved Sobel Edge Detection Operator
Year: 2016

The paper proposes an improved gradient algorithm which is based on the existing sobel edge detection. The algorithm is not only simple, but also can solve the coordination problem between the detection precision and anti noise performance. Experimental results prove that using the modified gradient algorithm to detect image edge is not only clear outline, good real time, but also has better anti noise performance.  The edge is the basic characteristics of the image, and which contains a wealth of internal information  The various detection methods in the existing do not have an absolute advantage; they also solve some problems at the same time corresponding with this or that deficiencies. For example, some algorithms have a strong anti noise performance, but the detection accuracy is not high  Contrary to improve detection accuracy and anti noise performance is getting worse. Although some will be both to certain extent coordinated, but the algorithm becomes complicated  it makes the results of the implementation time lengthened. In order to solve these contradictions, this paper puts forward an improved gradient algorithm, and verified the algorithm has the advantage in the anti noise performance through simulation experiments. The Traditional Sobel Edge Detection Operator The traditional sobel operator comprises two groups of 3x3 matrixes  which only have the horizontal and vertical directions of the template, but there are many directions of the edge. In order to detect the edge of the eight directions such as 45 135 etc, it was suggested that the improved sobel edge detection operator [6] which adds six directions of the template based on the traditional sobel algorithm, so it becomes eight directions of the template as shown in Fig. 1. Fig. 2 is schematic diagram of the direction. Although the sobel edge detection operator takes eight directions of the template image convolution, it increases the edge detection of direction [6,7] but due to increase the computational complexity, the speed of edge detection is reduced.  Eight direction template 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)
Exploring marketing strategies in architectural services: the case of the architecture firms in Portugal
Year: 2017

This paper explores the importance of marketing as a factor of competitive advantage for architectural service firms. Through an interpretative approach, three different stakeholders are interviewed: customers, potential customers, and architects. Besides the economic retraction that affects the Portuguese construction sector since the last decade, other reasons for a poor activity from architectural service firms in Portugal are identified. One of the main reasons seems to be related to the lack of awareness from consumers on what architectural services consist of and on the importance of architecture in their lives. Findings also indicate the absence, in most firms investigated, of an integrated marketing strategy that comprises decisions at the level of differentiation, customer orientation, relationship management, and marketing programs. The paper outlines strategic routes and practices for architectural service firms.
Improving question answering for event focused questions in temporal collections of news articles
Venue: Inf. Retr. J.
Year: 2021

Temporal collections of news articles (or news archives) contain numerous accurate and time aligned articles, which offer immense value to our society, helping users to know details of events that occurred at specific time points in the past. Currently, the access to such collections is rather difficult for average users due to their large sizes and complexities. For better use of these valuable resources on our heritage, this study considers the task of machine reading at scale on long term news article archives. We make use of the observation that questions on news archives are usually related to particular events and show strong temporal aspects. We propose a large scale question answering model designed specifically for long term news article collections, with an additional module for re ranking articles by using temporal information from different perspectives. The experimental results show that our model is superior to the existing question answering systems, thanks to dedicated module that allows finding more relevant documents.
Large Margin Regularized Softmax Cross Entropy Loss
Venue: IEEE Access
Year: 2019

Softmax cross entropy loss with L2 regularization is commonly adopted in the machine learning and neural network community. Considering that the traditional softmax cross entropy loss simply focuses on fitting or classifying the training data accurately but does not explicitly encourage a large decision margin for classification, some loss functions are proposed to improve the generalization performance by solving the problem. However, these loss functions enhance the difficulty of model optimization. In addition, inspired by regularized logistic regression, where the regularized term is responsible for adjusting the width of decision margin, which can be seen as an approximation of support vector machine, we proposed a large margin regularization method for softmax cross entropy loss. The advantages of the proposed loss are twofold as follows: the first is the generalization performance improvement, and the second is easy optimization. The experimental results on three small sample datasets show that our regularization method achieves good performance and outperforms the existing popular regularization methods of neural networks.
Progress to extinction: increased specialisation causes the demise of animal clades
Venue: Scientific reports
Year: 2016

Animal clades tend to follow a predictable path of waxing and waning during their existence, regardless of their total species richness or geographic coverage. Clades begin small and undifferentiated, then expand to a peak in diversity and range, only to shift into a rarely broken decline towards extinction. While this trajectory is now well documented and broadly recognised, the reasons underlying it remain obscure. In particular, it is unknown why clade extinction is universal and occurs with such surprising regularity. Current explanations for paleontological extinctions call on the growing costs of biological interactions, geological accidents, evolutionary traps, and mass extinctions. While these are effective causes of extinction, they mainly apply to species, not clades. Although mass extinctions is the undeniable cause for the demise of a sizeable number of major taxa, we show here that clades escaping them go extinct because of the widespread tendency of evolution to produce increasingly specialised, sympatric, and geographically restricted species over time.
Organizational identification versus organizational commitment: self definition, social exchange, and job attitudes
Year: 2006

The psychological relationship between individual and organization has been conceptualized both in terms of identification and in terms of (affective) commitment. In the present study, we explore the differences between these two conceptualizations. Building on the proposition that identification is different from commitment in that identification reflects the self definitional aspect of organizational membership whereas commitment does not, we propose that commitment is more contingent on social exchange processes that presume that individual and organization are separate entities psychologically, and more closely aligned with (other) job attitudes. In support of these propositions, results of a cross sectional survey of university faculty (n=133) showed that identification is uniquely aligned (i.e. controlling for affective commitment) with the self referential aspect of organizational membership, whereas commitment is uniquely related (i.e. controlling for identification) to perceived organizational support, job satisfaction, and turnover intentions. We conclude that the core difference between identification and commitment lies in the implied relationship between individual and organization: Identification reflects psychological oneness, commitment reflects a relationship between separate psychological entities.
Management of isolated oligohydramnios in Korea: a questionnaire based study of clinical practice patterns among the members of the Korean Society of Maternal Fetal Medicine
Venue: Obstetrics gynecology science
Year: 2020

The aim of this survey was to investigate the recommendations and clinical practice patterns of the Korean Society of Maternal and Fetal Medicine (KSMFM) members, regarding management of isolated oligohydramnios (IO) Methods From December 2018 to February 2019, questionnaires were e mailed to the KSMFM members at 257 institutes that are listed by the Korean Statistical Information Services (KOSIS) as suitable labor premises. Responses to the seven questions on the management of IO, from diagnosis to treatment, were evaluated.  A total of 72 KSMFM members responded to this survey. Nearly all participants (90.1% used the amniotic fluid index (AFI) as the primary method for estimating amniotic fluid volume. The majority of the participants (73.6% believed that IO was a risk factor for adverse pregnancy outcomes, including abnormal fetal heart rate (73.6% need for cesarean delivery (58.3% intrauterine fetal demise (52.8% and meconium aspiration syndrome (50% Almost 70% of the participants believed that induction of labor might decrease perinatal morbidities, and that late preterm to early term period (36 38 gestational weeks) was a suitable timeframe for delivery, if the fetus was sufficiently grown and antenatal testing revealed reassuring results. Less than half of the participants (47.2% believed that maternal oral or intravenous hydration was a useful intervention for IO management.  KSMFM members preferred labor induction at late preterm to early term, to decrease perinatal morbidity in cases of IO, although it was still uncertain whether labor induction improved the outcomes. Further prospective studies are needed regarding IO management.
Benchmarking performance and energy efficiency of microprocessors for wireless sensor network applications
Venue: 2012 Proceedings of the 35th International Convention MIPRO
Year: 2012

Energy efficiency is one of the most important design requirements in wireless sensor networks (WSN) In this paper, three performed benchmarks compared code size and execution speed of ARM Cortex M series processors with processors which are commonly used in WSN. In addition, power consumption is taken into account in order to determine energy efficiency of tested processors. Results show that recently introduced ARM Cortex M series processors are best choice for energy efficient WSN nodes according to all design criteria: power consumption, execution speed and code size.
Caracterisation des zonages climatiques
Year: 2017

L'objectif de ce travail est d'ameliorer le comportement thermique de l'habitat comorien dans sa zone climatique tout en proposant des solutions techniques passives simples qui sont adaptees au climat tropical chaud et humide du pays. Apres avoir defini le comportement thermique de l'habitat type, l'auteur a mene une analyse de sensibilite parametrique des modeles afin d'identifier les parametres les plus influents sur le confort thermique en se servant d'un code de calcul approprie. Des simulations avec un logiciel adequat ont ete aussi effectuees a partir des hypotheses et des resultats anterieurs, afin d'ameliorer l'apport de chaque composant de l'habitat dans le confort thermique. Lors des simulations, la realite de la vie journaliere des occupants, leurs mouvements dans la piece, les mises en marche d'equipements et la duree d'eclairage ont ete tenus compte. Les resultats obtenus montrent les importances des apports de chaleur dans l'habitat, des dimensions de vitrages, de l'orientation, de l'isolation des murs et de la toiture. Les solutions passives proposees tiennent compte a la fois de l'utilisation des materiaux locaux et aussi du niveau de vie de la population.
Biosimilars in Inflammatory Bowel Disease.
Venue: The American journal of gastroenterology
Year: 2020

Over the past 2 decades, biological therapy with monoclonal antibodies targeting tumor necrosis factor a has become a cornerstone of treatment of patients with inflammatory bowel disease. Although clinically effective, the biological therapies remain expensive, and their availability and utilization have been at times limited due to their high costs. Biosimilars are biological products similar to but not identical to the original biological agent or "reference biologic," also called "originator biologic." It is hoped that the use of biosimilars might enable these agents to become more available and, thus, decrease further expenditures related to the use of the original reference agents such as infliximab and adalimumab. In this study, we review the currently available evidence and shortcomings of these data supporting the use of biosimilars for the treatment of patients with inflammatory bowel disease, including their efficacy and safety as related to initiating therapy with biosimilar agents or switching between reference and biosimilar biologic agents.