nils-herrmann/clean_scirepeval huggingface dataset:
Le dysfonctionnement de la fonction paternelle chez l'adolescent delinquant a propos d'un cas de parentification
Year: 2016

L'adolescence est un nouveau contexte auquel la famille doit s'adapter. Si cet adolescent manifeste un comportement delinquant, c'est un signal du dysfonctionnement du systeme familial et une defaillance dans la fonction paternelle. En effet, ce symptome a la fonction d'alerte. Quand le systeme familial ne permet pas l'individuation et l'autonomisation, besoins fondamentaux de ses enfants, alors un fonctionnement pathologique peut apparaitre comme la delinquance ou la parentification. Une vignette clinique en apportera une illustration.
On the use of hybrid reinforcement learning for autonomic resource allocation
Venue: Cluster Computing
Year: 2007

Reinforcement Learning (RL) provides a promising new approach to systems performance management that differs radically from standard queuing theoretic approaches making use of explicit system performance models. In principle, RL can automatically learn high quality management policies without an explicit performance model or traffic model, and with little or no built in system specific knowledge. In our original work (Das, R. Tesauro, G. Walsh, W.E. IBM Research, Tech. Rep. RC23802 (2005) Tesauro, G. In: Proc. of AAAI 05, pp. 886 891 (2005) Tesauro, G. Das, R. Walsh, W.E. Kephart, J.O.  (2005) we showed the feasibility of using online RL to learn resource valuation estimates (in lookup table form) which can be used to make high quality server allocation decisions in a multi application prototype Data Center scenario. The present work shows how to combine the strengths of both RL and queuing models in a hybrid approach, in which RL trains offline on data collected while a queuing model policy controls the system. By training offline we avoid suffering potentially poor performance in live online training. We also now use RL to train nonlinear function approximators (e.g. multi layer perceptrons) instead of lookup tables; this enables scaling to substantially larger state spaces. Our results now show that, in both open loop and closed loop traffic, hybrid RL training can achieve significant performance improvements over a variety of initial model based policies. We also find that, as expected, RL can deal effectively with both transients and switching delays, which lie outside the scope of traditional steady state queuing theory.
Exploring information technology business alignment through stakeholder theory: a review of literature
Venue: Industrial and Commercial Training
Year: 2019

Stakeholder theory (ST) argues that providing value to external stakeholders is the best way to ensure long term business health. However, when the theory was formed, information technology (IT) played a small role in organizational operations and strategy. Although IT research recognizes stakeholders, the theoretical underpinnings of ST are rarely recognized within this context. The purpose of this paper is to remedy this issue by reviewing ST through the lens of technology adoption and training and presenting propositions for business alignment and organizational success.  This paper conducted a comprehensive literature review to examine all extant research at the intersection of ST, IT and information systems (IS) A total of 25 papers were retained, published between 1993 and 2016, using multiple sources for search.  Too little IT research has recognized the theoretical foundations of ST. These theoretical foundations have the potential to expand the focus of research and practice to recognize the wider impacts of technological developments. A total of six propositions are presented to highlight the need for a greater focus on external stakeholders throughout all stages of IS design, development and implementation to improve the performance of IT related projects and IT business units.  The paper addresses the research gap by integrating ST with IT and IS, providing theory based recommendations to improve their functions within organizations. A review of all extant research at the intersection of these topics is provided.
Tuberculosis Surveillance and Monitoring under the National Public Private Mix Tuberculosis Control Project in South Korea 2016 2017
Venue: Tuberculosis and respiratory diseases
Year: 2020

The national Public Private Mix (PPM) tuberculosis (TB) control project provides for the comprehensive management of TB patients at private hospitals in South Korea. Surveillance and monitoring of TB under the PPM project are essential toward achieving TB elimination goals.  TB is a nationally notifiable disease in South Korea and is monitored using the surveillance system. The Korea Centers for Disease Control and Prevention quarterly generates monitoring indicators for TB management, used to evaluate activities of the PPM hospitals by the central steering committee of the national PPM TB control project. Based on the notification date, TB patients at PPM hospitals were enrolled in each quarter, forming a cohort, and followed up for at least 12 months to identify treatment outcomes. This report analyzed the dataset of cohorts the first quarter of 2016 through the fourth quarter of 2017.  The coverage of sputum, smear, and culture tests among the pulmonary TB cases were 92.8% and 91.5% respectively. The percentage of positive sputum smear and culture test results were 30.7% and 61.5% respectively. The coverage of drug susceptibility tests among the culture confirmed cases was 92.8% The treatment success rate among the smear positive drug susceptible cases was 83.2% The coverage of latent TB infection treatment among the childhood TB contacts was significantly higher than that among the adult contacts (85.6% vs. 56.0% p=0.001)  This is the first official report to analyze monitoring indicators, describing the current status of the national PPM TB control project. To sustain its effect, strengthening the monitoring and evaluation systems is essential.
Exploring Relationships: A Systematic Review on Intimate Partner Violence and Attachment
Venue: Front. Psychol.
Year: 2018

Intimate Partner Violence (IPV) is an important public health challenge. In recent years, there has been a greater awareness concerning this phenomenon, its causes and consequences. Due to the relational nature of IPV, attachment theory (Bowlby, 1988) appears a useful framework to read the phenomenon and to better understand its components and its dynamics to provide more precise and tailored interventions in the future.  To summarize our knowledge of the research concerning IPV and attachment with an aim to better design and implement future research.  Computer database researches were conducted using the following databases: Psychinfo, Psycharticle, Medline, Scopus, Web of Science, and PubMed (all years to the 01/02/2018) Search terms were compiled into two concepts for all database namely Attachment and IPV.  After removing the duplicates, a total of 3,598 records was screened, resulting in the identification of 319 full text articles to be further scrutinized. Upon closer examination, there was consensus that 113 of those studies met the study inclusion criteria. Data was organized considering specifically studies concerning (1) IPV victimization and attachment, (2) IPV perpetration and attachment (both these sections were articulated in Physical, Psychological, and Sexual IPV) and (3) New research (comprising same sex couples, IPV and attachment in couple contexts and IPV profiles and attachment among perpetrators)  A number of studies failed to find significant associations between insecure attachment and IPV victimization or perpetration. Additional research is needed to provide a greater understanding of different IPV forms and to aid in the development of prevention and treatment interventions.
Anti hyperlipidemic herbs in siddha system of medicine
Year: 2014

Hyperlipidemia is one of the leading causes of mortality in developed as well as in developing countries like India. It attributes to the high risk of coronary heart disease and atherosclerosis which is referred as a silent killer. Obesity and Atherosclerosis are the most common cause of mortality and morbidity worldwide. A number of drugs are available that can lower the serum lipids. Their use can be limited by tolerability and adverse effects like hepatitis, rhabdomyolysis, myopathy etc. At present, herbal anti hyperlipidemic drugs have gained importance to compensate the setbacks of modern allopathic drugs in this category. Many plants in Siddha medicine have been reported to be beneficial in hyperlipidemia. Several drugs in Siddha have been found to be beneficial in lowering the lipid levels without any major adverse effects. Numerous plants like Achyranthus aspera, Bauhinia purpurea, Cinnamomum tamala, Cissus quadrangularis, Commiphora mukul, Garcinia cambogia, Gymnema sylvestre, Terminalia arjuna, Solanum melongena, Sapindus emarginatus, etc. have been reported to have lipid lowering effect. This piece of writing reviews the anti hyperlipidemic activity of the most familiar medicinal plants in siddha system of medicine. This item may be helpful for the researchers; academician and clinician about the potential siddha herbs having anti hyperlipidemic activity. This review has opened the pathway to know the recent advancement of siddha medical system and also give the undeviating pledge for the society in the management of such chronic ailments.
A review on threat assessment, path planning and path tracking strategies for collision avoidance systems of autonomous vehicles
Year: 2018

The growth of automation sector has brought numerous autonomous technology developments in many sectors, especially automotive. The autonomous features are proven to be helpful in reducing road fatalities globally. Advanced Driver Assistance Systems (ADAS) a system which helps the driving process automation, has growing roles in recent road vehicle features. It is the base for the development of a fully autonomous vehicle. One of the main features of ADAS is Collision Avoidance (CA) system. A sufficient CA architecture usually encompasses threat assessment, path planning and path tracking strategies. There are many ways of developing precise CA architecture using the combination of these strategies. This paper aims to review current available methods for CA as an introductory idea for researchers who are new to this field. Each of the methods in each strategy is categorised into several groups. Their advantages and drawbacks are discussed. In addition to that, several improvement suggestions for a comprehensive CA system were highlighted.
A Deep Convolutional Neural Network Inspired by Auditory Perception for Underwater Acoustic Target Recognition
Venue: Sensors
Year: 2019

Underwater acoustic target recognition (UATR) using ship radiated noise faces big challenges due to the complex marine environment. In this paper, inspired by neural mechanisms of auditory perception, a new end to end deep neural network named auditory perception inspired Deep Convolutional Neural Network (ADCNN) is proposed for UATR. In the ADCNN model, inspired by the frequency component perception neural mechanism, a bank of multi scale deep convolution filters are designed to decompose raw time domain signal into signals with different frequency components. Inspired by the plasticity neural mechanism, the parameters of the deep convolution filters are initialized randomly, and the is n learned and optimized for UATR. The n, max pooling layers and fully connected layers extract features from each decomposed signal. Finally, in fusion layers, features from each decomposed signal are merged and deep feature representations are extracted to classify underwater acoustic targets. The ADCNN model simulates the deep acoustic information processing structure of the auditory system. Experimental results show that the proposed model can decompose, model and classify ship radiated noise signals efficiently. It achieves a classification accuracy of 81.96% which is the highest in the contrast experiments. The experimental results show that auditory perception inspired deep learning method has encouraging potential to improve the classification performance of UATR.
Linguistic approaches to emotions in context
Year: 2014

1. Linguistic approaches to emotion in context (by Baider, Fabienne H. 2. Part I. Emotion, philosophy and language 3.  Various "language games" which open the door to grammar* (by Godart Wendling, Beatrice) 4. Passion, a forgotten feeling (by Vukoja, Vida) 5. Part II. Expressing and interpreting emotion 6. On "Disgust" (by Goddard, Cliff) 7. A corpus based construction of emotion verb scales (by Fellbaum, Christiane D. 8. Patterns of allocentric emotional expressions, a contrastive study* (by Cislaru, Georgeta) 9. The expression of emotions in conditionals: A study of Modern Greek political speech (by Lampropoulou, Martha) 10. Conceptual metaphors of anger in popularized scientific texts: A contrastive (English/Greek/French) cognitive discursive approach (by Constantinou, Maria) 11. Bad feelings in context (by Baider, Fabienne H. 12. Part III.  Emotions and prosodic structure: Who is in charge? (by Martin, Philippe) 14. Prosody and emotion in Greek: Evidence from spontaneous speech corpora analysis (by Kotsifas, Dimitrios) 15. Cross cultural perception of some Japanese politeness and impoliteness expressions* (by Rilliard, Albert) 16. Part IV. Pragmatic use of emotion 17. Verbal aggressiveness or cooperative support? Emotion communication in French and Italian professional contexts (by Mrowa Hopkins, Colette) 18. 'I must do everything to eliminate my negative attitude' Polish general practitioners' emotions toward patients with medically unexplained symptoms (by Sowinska, Agnieszka) 19. Language learning and making the mundane special (by Coffey, Simon) 20. Name index 21.
Mobility of mercury in soil as affected by soil physicochemical properties
Venue: Journal of Soils and Sediments
Year: 2016

PurposeThe interaction of mercury with organic matter was studied on three soils with distinct physical chemical compositions (Fluvisol, Luvisol, and Chernozem) and three vermicomposts based on various bio waste materials (digestate, kitchen waste with woodchips, and garden bio waste).Materials and methodsLaboratory batch experiments, in which organic matter composition was modeled by adding graded doses of vermicompost to individual soils, were carried out. The composition of organic matter in these vermicomposts was assessed via fractionation of humic acids, fulvic acids, hydrophilic compounds, and possible hydrophobic neutral organic matter. Furthermore, the samples were artificially contaminated with inorganic and organic mercury. Prepared samples were stored under constant temperature of 25 degC. The incubation experiments lasted for 56 days, in which the samples were taken ten times. During the experiments, the changes in mercury mobile phase amount were observed, and the influence of the source of contamination was evaluated.Results and discussionThe amount of mobile mercury increased and then decreased during the time. In most of the soils and vermicompost combinations, the content of mercury bound to the soil was stable after 21 days. The effects of the mercury source on the exchangeable portion of Hg in the soils were most obvious in samples without added vermicompost. Nevertheless, differences between mobile inorganic and organic forms of Hg were lower in the case of Fluvisol compared to other soils. Moreover, in this soil, the content of available mercury was higher than from others.ConclusionsIn general, the smallest differences between mobile inorganic and organic forms of Hg were observed in the case of soil with the highest content of organic matter. Also higher doses of vermicomposts decreased the amount of mercury mobile phase available. Additionally, the largest positive influence of vermicompost dose on Hg mobility was measured in soils combined with vermicompost with the highest portion of humic acids.
Seizure Freedom in Temporal Plus Epilepsy Surgery Following Stereo Electroencephalography
Venue: Canadian Journal of Neurological Sciences Journal Canadien des Sciences Neurologiques
Year: 2020

"Temporal plus" epilepsy (TPE) is a term that is used when the epileptogenic zone (EZ) extends beyond the boundaries of the temporal lobe. Stereotactic electroencephalography (SEEG) has been essential to identify additional EZs in adjacent structures that might be part of the temporal lobe/limbic network.  We present a small case series of temporal plus cases successfully identified by SEEG who were seizure free after resective surgery.  We conducted a retrospective analysis of 156 patients who underwent SEEG in 5 years. Six cases had TPE and underwent anterior temporal lobectomy (ATL) with additional extra temporal resections.  Five cases had a focus on the right hemisphere and one on the left. Three cases were non lesional and three were lesional. Mean follow up time since surgery was 2.9 years (SD 1.8) Three patients had subdural electrodes investigation prior or in addition to SEEG. All patients underwent standard ATL and additional extra temporal resections during the same procedure or at a later date. All patients were seizure free at their last follow up appointment (Engel Ia 3; Engel Ib 2; Engel Ic 1) Pathology was nonspecific/gliosis for all six cases.  TPE might explain some of the failures in temporal lobe epilepsy surgery. We present a small case series of six patients in whom SEEG successfully identified this phenomenon and surgery proved effective.
A Novel Neural Topic Model and Its Supervised Extension
Venue: AAAI
Year: 2015

Topic modeling techniques have the benefits of modeling words and documents uniformly under a probabilistic framework. However, they also suffer from the limitations of sensitivity to initialization and unigram topic distribution, which can be remedied by deep learning techniques. To explore the combination of topic modeling and deep learning techniques, we first explain the standard topic model from the perspective of a neural network. Based on this, we propose a novel neural topic model (NTM) where the representation of words and documents are efficiently and naturally combined into a uniform framework. Extending from NTM, we can easily add a label layer and propose the supervised neural topic model (sNTM) to tackle supervised tasks. Experiments show that our models are competitive in both topic discovery and classification/regression tasks.
Feature fused SSD: fast detection for small objects
Venue: International Conference on Graphic and Image Processing
Year: 2018

Small objects detection is a challenging task in computer vision due to its limited resolution and information. In order to solve this problem, the majority of existing methods sacrifice speed for improvement in accuracy. In this paper, we aim to detect small objects at a fast speed, using the best object detector Single Shot Multibox Detector (SSD) with respect to accuracy vs speed trade off as base architecture. We propose a multi level feature fusion method for introducing contextual information in SSD, in order to improve the accuracy for small objects. In detailed fusion operation, we design two feature fusion modules, concatenation module and element sum module, different in the way of adding contextual information. Experimental results show that these two fusion modules obtain higher mAP on PASCAL VOC2007 than baseline SSD by 1.6 and 1.7 points respectively, especially with 2 3 points improvement on some small objects categories. The testing speed of them is 43 and 40 FPS respectively, superior to the state of the art Deconvolutional single shot detector (DSSD) by 29.4 and 26.4 FPS.
A place for the Bodhisatta: The local and the universal in jataka stories
Year: 2007

Oxford University Jatakas stories about the past lives of the 'historical' Buddha are often associated with specific locations, both within the land of Buddhism's birth, and in other parts of Asia. There are records suggesting that such locations became early pilgrimage sites; contemporary sources also make reference to 'local' jatakas, which in many cases help to assimilate Buddhism into the local culture through its geography. In this article I will argue that it is the structure of jataka stories that allows this localisation to take place all over Asia. I contend that since the jatakas themselves are lacking in specific external referents they can easily be given a location, whilst their framing in the 'present' time of the Buddha's teaching career grounds the stories in both time and place, without infringing on the flexibility of the individual stories. This ability to provide centrally legitimated relevance for each and all contributes greatly to the popularity and endurance of the jataka genre. The layering of meanings must remain if the stories are to accomplish this: if the stories become formally localised, for example by 19th century scholars who celebrate the jatakas' worth as records of life in early India, the power of the stories to transcend boundaries of time and place for their multiple audiences is lost. Yet if the jatakas were not anchored in the Buddha's teaching career in the 5th century BCE North India, their significance for Buddhists would in any case be negligible.
Fostering social innovation and building adaptive capacity for dengue control in Cambodia: a case study
Venue: Infectious Diseases of Poverty
Year: 2020

The social ecological systems theory, with its unique conception of resilience (social ecological systems resilience, SESR) provides an operational framework that currently best meets the need for integration and adaptive governance as encouraged by the Sustainable Development Goals. SESR accounts for the complex dynamics of social ecological systems and operationalizes transdisciplinarity by focusing on community engagement, value co creation, decentralized leadership and social innovation. Targeting Social Innovation (SI) in the context of implementation research for vector borne diseases (VBD) control offers a low cost strategy to contribute to lasting and contextualized community engagement in disease control and health development in low and middle income countries of the global south. In this article we describe the processes of community engagement and transdisciplinary collaboration underpinning community based dengue management in rural primary schools and households in two districts in Cambodia.  Multiple student led and community based interventions have been implemented focusing on empowering education, communication for behavioral change and participatory epidemiology mapping in order to engage Cambodian communities in dengue control. We describe in particular the significance of the participatory processes that have contributed to the design of SI products that emerged following iterative consultations with community stakeholders to address the dengue problem.  The SI products that emerged following our interaction with community members are 1) adult mosquito traps made locally from solid waste collections, 2) revised dengue curriculum with hands on activities for transformative learning, 3) guppy distribution systems led by community members, 4) co design of dengue prevention communication material by students and community members, 5) community mapping.  The initiative described in this article put in motion processes of community engagement towards creating ownership of dengue control interventions tools by community stakeholders, including school children. While the project is ongoing, the project's interventions so far implemented have contributed to the emergence of culturally relevant SI products and provided initial clues regarding 1) the conditions allowing SI to emerge, 2) specific mechanisms by which it happens and 3) how external parties can facilitate SI emergence. Overall there seems to be a strong argument to be made in supporting SI as a desirable outcome of project implementation towards building adaptive capacity and resilience and to use the protocol supporting this project implementation as an operational guiding document for other VBD adaptive management in the region.