nils-herrmann/clean_scirepeval huggingface dataset:
"We're staying at home" Association of self perceptions of aging, personal and family resources and loneliness with psychological distress during the lock down period of COVID 19
Venue: The journals of gerontology. Series B, Psychological sciences and social sciences
Year: 2020

Families are going through a very stressful time because of the COVID 19 outbreak, with age being a risk factor for this illness. Negative self perceptions of aging, among other personal and relational variables may be associated with loneliness and distress caused by the pandemic crisis.  Participants are 1310 Spanish people (age range: 18 88 years) during a lock down period at home. In addition to specific questions about risk for COVID 19, self perceptions of aging, family and personal resources, loneliness and psychological distress were measured. Hierarchical regression analyses were done for assessing the correlates of loneliness and psychological distress.  The measured variables allow for an explanation of 48% and 33% of the variance of distress and loneliness, respectively. Being female, younger, having negative self perceptions about aging, more time exposed to news about COVID 19, more contact with relatives different to those that co reside, fewer positive emotions, less perceived self efficacy, lower quality of sleep, higher expressed emotion and higher loneliness were associated with higher distress. Being female, younger, having negative self perceptions about aging, more time exposed to news about COVID 19, lower contact with relatives, higher self perception as a burden, fewer positive emotions, lower resources for entertaining oneself, lower quality of sleep and higher expressed emotion were associated with higher loneliness.
Effect Modification by Attention Deficit Hyperactivity Disorder (ADHD) Symptoms on the Association of Psychosocial Work Environments With Psychological Distress and Work Engagement
Venue: Front. Psychiatry
Year: 2019

The aim of this study was to examine how attention deficit hyperactivity disorder (ADHD) symptoms play an interaction effect on the association between psychosocial work environments and health (psychological distress/work engagement) among workers.  This is a cross sectional study of 2,693 employees at a pharmaceutical company using a self administered questionnaire evaluating ADHD symptoms (Adult ADHD Self Report Scale Screener) psychosocial work environments (job demands, job control and social support) and health outcomes (psychological distress; K6, and work engagement; Utrecht Work Engagement Scale) Multiple regression analyses were applied to assess the interaction between ADHD symptoms and psychosocial work environments on health outcomes.  The prevalence of workers with ADHD symptoms was 5.9% (n 159) Significant interaction effects of ADHD symptoms x job control and ADHD symptoms x social support were observed (b 0.067, p 0.01 and b 0.052, p 0.01, respectively) on psychological distress after adjustment of age, sex, occupation and education. The interaction effect of ADHD symptoms x each psychosocial work environment was not observed on work engagement.  Job control and social support were more influential factors that were related to psychological distress in accordance with ADHD symptoms. This study also found no difference of the interaction between psychosocial work environments and ADHD symptoms on work engagement. To the best of our knowledge, this study was first to clarify the effect of ADHD symptoms on the association between psychosocial work environments and health outcomes (psychological distress/work engagement) These findings can aid employers how to arrange better work environments for workers with ADHD symptoms.
Learning to Contrast the Counterfactual Samples for Robust Visual Question Answering
Venue: EMNLP
Year: 2020

In the task of Visual Question Answering (VQA) most state of the art models tend to learn spurious correlations in the training set and achieve poor performance in out of distribution test data. Some methods of generating counterfactual samples have been proposed to alleviate this problem. However, the counterfactual samples generated by most previous methods are simply added to the training data for augmentation and are not fully utilized. Therefore, we introduce a novel self supervised contrastive learning mechanism to learn the relationship between original samples, factual samples and counterfactual samples. With the better cross modal joint embeddings learned from the auxiliary training objective, the reasoning capability and robustness of the VQA model are boosted significantly. We evaluate the effectiveness of our method by surpassing current state of the art models on the VQA CP dataset, a diagnostic benchmark for assessing the VQA model's robustness.
LIBAERT Thierry et SUART Jacques, 2019. Pilotez votre communication Evaluation, indicateurs et tableaux de bord
Year: 2019

Pilotez votre communication Evaluation, indicateurs et tableaux de bord, des Editions Dunod, est propose par Thierry Libaert et Jacques Suart. Le premier est Professeur en Sciences de l'Information et de la Communication, ainsi qu'actuellement conseiller au Comite economique et social europeen (CESE) Il est notamment specialiste de la communication et du management de crise, ainsi que des strategies de communication organisationnelle. Le second est un ancien directeur de communication de t.
The Dopamine D 2 and Adenosine A 2A Receptors: Past, Present and Future Trends for the Treatment of Parkinson's Disease
Year: 2014

Herein, we present an overview of the historic development of drugs for the treatment of Parkinson's disease as well as prospective novel treatment forms based on targeting the dopamine and adenosine receptors. The review includes the development of levodopa, a precursor of the neurotransmitter dopamine, which to date is the most commonly prescribed and most effective drug for controlling the motor symptoms of Parkinson's disease, to more recent studies of the adenosine receptor; a promising target for the treatment of Parkinson's disease due to its intrinsic neuroprotective nature. Ongoing and future drug based research on the dopamine and adenosine receptors has the advantage of being guided by the improved understanding of receptor topography as well as their functional roles. Breakthroughs such as the first ligand bound X ray structure of a selective adenosine A 2A receptor antagonist in complex with the adenosine A 2A receptor, the discovery of the existence of dopamine D 2 homodimers, dopamine D 2 adenosine A 2A heterodimers and higher order oligomers in addition to technological progress have changed the direction of research in academia and industry and form the pillars for novel and exciting discoveries in this field.
MARKETING MODEL DAN POTENSI INOVASI USAHA KECIL PRODUK BIOTEKNOLOGI DI PROVINSI JAWA TIMUR
Year: 2019

This study aims to find a marketing model and potential innovation for small businesses specifically for biotechnology products. This research will also explore the potential of innovation that can be done and how strong the marketing model that is carried out can influence innovation, marketing mix, branding, competitive strategies so that it can improve the performance of the small business organization. The results of the study found that the marketing model can be done by emphasizing innovation and branding in order to improve performance. Innovation can be done by emphasizing place innovation, product innovation, and packaging innovation. Branding can be done with company branding, product branding and user branding. Emphasis on innovation and branding strategies will be able to increase the competitiveness of small business biotech products from performance aspects measured through sales growth, profit growth and market share.
Multi product inventory optimization in a multi echelon supply chain using Genetic Algorithm
Year: 2017

Inventory management is very important area in the supply chain management. Excess stocks may lead to incurring holding costs while shortage of stocks lead to shortage costs. The problem becomes more complicated when several factories produce multiple products in multiple time periods and supplies to several distribution centers who in turn supply to various agents and customers. With the advances in information technology and computing methods the inventory management problem in a multi echelon supply chain can be solved reasonably well. This paper presents an approach an approach for the multi product inventory optimization in a multi echelon supply chain using Genetic Algorithm. This Paper presents an approach using genetic algorithm for inventory optimization for a supply chain employing multiple products to minimize the excess and shortage of stocks.
New insights from the deep: Meiofauna in the Kuril Kamchatka Trench and adjacent abyssal plain
Venue: Progress in Oceanography
Year: 2019

Community and abundance patterns of meiofauna and Harpacticoida in the Kuril Kamchatka Trench, that trench's slope and adjacent abyssal plain which is located in the North Western Pacific were investigated in relation to environmental variables. Overall, Nematoda was the dominant taxon of the meiofauna community (93% followed by Copepoda (3% Nineteen harpacticoid families and 1 subfamily were found, whereby the family Ameiridae was most abundant in the study area. Within eight selected (sub)families (Argestidae, Aegisthidae, Ancorabolidae, Canthocamptidae, Cletodidae, Cylindropsyllinae, Parameiropsidae, Zosimeidae) 27 genera were found, with Zosime and Mesocletodes being most abundant. Dispersion effects characterized the meiofauna community abundances, while the Harpacticoida communities in the hadal and abyssal were distinct. The main contributor to the dissimilarities observed were Nematoda, Ameiridae, Zosime and Mesocletodes. Food availability, sediment composition and water depth are environmental drivers structuring the investigated communities in the abyssal and hadal. For the trench slope, no correlations with the investigated environmental variables were found. Very likely variables other than the investigated ones act as environmental drivers for the trench slope (e.g. topography) Furthermore, a tendency of meiofauna to increase in total abundances was detected with increasing depth in the deeper stations starting at 6000 m. In contrast, total Harpacticoida abundances decrease with depth. Considering the abundance of Harpacticoida families and genera individually, the abundance of some taxa decreased in the trench slope but increased in the trench floor (Zosimeidae, Miraciidae, Argestidae, Parameiropsis, Zosime) Diversity indices based on Harpacticoida genus and family level were not distinguishable with the exception of equitability (J) at the genus level (abyssal vs hadal; trench slope vs hadal)
Backdoor Attack with Sample Specific Triggers
Venue: ArXiv
Year: 2020

Recently, backdoor attacks pose a new security threat to the training process of deep neural networks (DNNs) Attackers intend to inject hidden backdoor into DNNs, such that the attacked model performs well on benign samples, whereas its prediction will be maliciously changed if the hidden backdoor is activated by an attacker defined trigger. Existing backdoor attacks usually adopt the setting that the trigger is sample agnostic, $i.e. different poisoned samples contain the same trigger, resulting in that the attacks could be easily mitigated by current backdoor defenses. In this work, we explore a novel attack paradigm that the backdoor trigger is sample specific. Specifically, inspired by the recent advance in DNN based image steganography, we generate sample specific invisible additive noises as backdoor triggers by encoding an attacker specified string into benign images through an encoder decoder network. The mapping from the string to the target label will be generated when DNNs are trained on the poisoned dataset. Extensive experiments on benchmark datasets verify the effectiveness of our method in attacking models with or without defenses.
The effects of fatty acid composition on cardiac hypertrophy and function in mouse models of diet induced obesity.
Venue: The Journal of nutritional biochemistry
Year: 2017

High fat diets (HFDs) are used frequently to study the development of cardiac dysfunction in animal models of obesity and diabetes. However, impairment in systolic function, often reported as declining ejection fraction, may not consistently occur in a given time frame which could be contributable to a variety of factors within the experimental design. One major factor may be the amounts of saturated and unsaturated fatty acids (FAs) that are present in the diet. To determine whether the FA content and composition were critical determinants in the development of cardiac dysfunction in response to high fat feeding, we fed adult, male mice Western diet (45% fat, 60% saturated) Surwit diet (60% fat, 90% saturated) milk fat based diet (60% fat, 60% saturated) or high fat Western diet (HFWD, 60% fat, 32% saturated) for 12 weeks. We report that neither the amount of total fat nor the ratio of saturated to unsaturated FAs in the diets differentially affects body weight and adiposity in mice. In addition, no evidence of systolic dysfunction is present after 12 weeks. Interestingly, the HFWD, with equal parts saturated, monounsaturated and polyunsaturated FAs, induces mild cardiac hypertrophy and diastolic dysfunction after 12 weeks, which coincides with elevated serum levels of arachidonic acid. Our results suggest that the dietary FA content and composition may be a primary determinant of diastolic, but not systolic, dysfunction in animal models of diet induced obesity.
optimization of Retrieval Algorithms on Large Scale Knowledge Graphs
Venue: 2020 15th Conference on Computer Science and Information Systems (FedCSIS)
Year: 2020

Knowledge graphs have been shown to play an important role in recent knowledge mining and discovery, for example in the field of life sciences or bioinformatics. Although a lot of research has been done on the field of query optimization, query transformation and of course in storing and retrieving large scale knowledge graphs the field of algorithmic optimization is still a major challenge and a vital factor in using graph databases. Few researchers have addressed the problem of optimizing algorithms on large scale labeled property graphs. Here, we present two optimization approaches and compare them with a naive approach of directly querying the graph database. The aim of our work is to determine limiting factors of graph databases like Neo4j and we describe a novel solution to tackle these challenges. For this, we suggest a classification schema to differ between the complexity of a problem on a graph database. We evaluate our optimization approaches on a test system containing a knowledge graph derived biomedical publication data enriched with text mining data. This dense graph has more than 71M nodes and 850M relationships. The results are very encouraging and depending on the problem we were able to show a speedup of a factor between 44 and 3839.
Exploring the digital natives among pre service teachers in Turkey: a cross cultural validation of the Digital Native Assessment Scale
Venue: Interact. Learn. Environ.
Year: 2016

This study aims to explore the digital natives among a sample of pre service teachers and in the process, examine the validity of a Turkish adaptation of the digital native assessment scale (DNAS) [Teo, T. Fan, X. (2013) Coefficient alpha and beyond: Issues and alternatives for educational research. The Asia Pacific Education Researcher, 22(2) 209 213] Five hundred and fifty seven participants completed a survey questionnaire in Turkish measuring their responses on the DNAS, developed from a proposed four factor research. Confirmatory factor analysis and multiple indicators, multiple causes modelling were used to analyse the data and an acceptable fit was found, suggesting that the DNAS is a valid measure for participants who are older living in another culture. While the pre service teachers had mostly regarded themselves as digital natives, significant differences were only found by years of computer use and perceived competence but no significant differences were found for gender and age.
Growth of Large Area Graphene Single Crystals in Confined Reaction Space with Diffusion Driven Chemical Vapor Deposition
Year: 2015

To synthesize large area graphene single crystals, we specifically designed a low pressure chemical vapor deposition (LPCVD) reactor with confined reaction space (L 22 mm x W 13 mm x H 50 mm) Within the confined reaction space, a uniform distribution of reactant concentrations, reduced substrate roughness, and the shift of growth kinetics toward a diffusion limited regime can be achieved, favoring the preparation of large area, high quality graphene single crystals. The gas flow field and mass transport pattern of reactants in the LPCVD system simulated with a finite element method support the advantages of using this confined reaction room for graphene growth. Using this space confined reactor together with the optimized synthesis parameters, we obtained monolayer, highly uniform, and defect free graphene single crystals of up to ~0.8 mm in diameter with the field effect mobility of mEF 4800 cm2 V 1 s 1 at room temperature. In addition, structural design of the confined reaction space by adjusting the.
The missing memristor found
Venue: Nature
Year: 2008

Anyone who ever took an electronics laboratory class will be familiar with the fundamental passive circuit elements: the resistor, the capacitor and the inductor. However, in 1971 Leon Chua reasoned from symmetry arguments that there should be a fourth fundamental element, which he called a memristor (short for memory resistor) Although he showed that such an element has many interesting and valuable circuit properties, until now no one has presented either a useful physical model or an example of a memristor. Here we show, using a simple analytical example, that memristance arises naturally in nanoscale systems in which solid state electronic and ionic transport are coupled under an external bias voltage. These results serve as the foundation for understanding a wide range of hysteretic current voltage behaviour observed in many nanoscale electronic devices that involve the motion of charged atomic or molecular species, in particular certain titanium dioxide cross point switches.
Accurate sensor for LaNi5 hydrogen storage devices
Venue: 2011 IEEE SENSORS Proceedings
Year: 2011

In this paper, we present an accurate sensor used to monitor the concentration of hydrogen in a LaNi5 solid state hydrogen storage device. The monitoring technique is based on the variations of the electrical properties of the storage material related to the hydrogen content. The sensor uses the electrical resistance of the sample which is directly linked to the hydrogen concentration. A finite element model is presented to simulate the resistivity variations during hydrogenation.
Industry 4.0 and Health: Internet of Things, Big Data, and Cloud Computing for Healthcare 4.0
Year: 2020

Industry 4.0 and its main enabling information and communication technologies are completely changing both services and production worlds. This is especially true for the health domain, where the Internet of Things, Cloud and Fog Computing, and Big Data technologies are revolutionizing eHealth and its whole ecosystem, moving it towards Healthcare 4.0. By selectively analyzing the literature, we systematically survey how the adoption of the above mentioned Industry 4.0 technologies (and their integration) applied to the health domain is changing the way to provide traditional services and products. In this paper, we provide (i) a description of the main technologies and paradigms in relation to Healthcare 4.0 and discuss (ii) their main application scenarios; we then provide an analysis of (iii) carried benefits and (iv) novel cross disciplinary challenges; finally, we extract (v) the lessons learned.
Maternal and perinatal mortality and complications associated with caesarean section in low income and middle income countries: a systematic review and meta analysis
Venue: The Lancet
Year: 2019

Universal and timely access to a caesarean section is a key requirement for safe childbirth. We identified the burden of maternal and perinatal mortality and morbidity, and the risk factors following caesarean sections in low income and middle income countries (LMICs) METHODS For this systematic review and meta analysis, we searched electronic databases including MEDLINE and Embase (from Jan 1, 1990, to Nov 20, 2017) without language restrictions, for studies on maternal or perinatal outcomes following caesarean sections in LMICs. We excluded studies in high income countries, those involving non pregnant women, case reports, and studies published before 1990. Two reviewers undertook the study selection, quality assessment, and data extraction independently. The main outcome being assessed was prevalence of maternal mortality in women undergoing caesarean sections in LMICs. We used a random effects model to synthesise the rate data, and reported the association between risk factors and outcomes using odds ratios with 95% CIs. The study protocol has been registered with PROSPERO, number CRD42015029191.  We included 196 studies from 67 LMICs. The risk of maternal death in women who had a caesarean section (116 studies, 2 933 457 caesarean sections) was 7*6 per 1000 procedures (95% CI 6*6 8*6, t2=0*81) the highest burden was in sub Saharan Africa (10*9 per 1000; 9*5 12*5, t2=0*81) A quarter of all women who died in LMICs (72 studies, 27 651 deaths) had undergone a caesarean section (23*8% 95% CI 21*0 26*7; t2=0*62) INTERPRETATION Maternal deaths and perinatal deaths following caesarean sections are disproportionately high in LMICs. The timing and urgency of caesarean section pose major risks.
A prospective design methodology of MMIC 2 6 GHz low noise amplifier
Venue: 2014 International Conference on Power, Automation and Communication (INPAC)
Year: 2014

A wideband low noise amplifier is suitable for an emerging architecture such as a SDR and Digital RF. The gallium arsenide process has an advantage of very low noise figure at very high frequency. In this article we have taken efforts to propose a new concept for a wideband highly linear low noise amplifier. The simulations are carried out using Agilent Advanced Design System ADS to analyze the behavior of LNA in 2GHz to 6GHz band. The simulated results have shown an acceptable behavior with a maximum gain of 31 dB and low NF.
LGBTQ Welcoming Guidelines for Museums: developing a resource for the museum field
Year: 2016

Beginning in 2014, the LGBTQ Alliance professional network of the American Alliance of Museums (AAM) met to develop and publish a broad set of LGBTQ Welcoming Guidelines for Museums. The authors sought to help museums be more inclusive of lesbian, gay, bisexual, transgender and queer staff and visitors. The Guidelines conform to the most recent established standards of professional practice in museums and touch on all areas of museum work; they may be viewed as part informational reference, part institutional self assessment tool. The Guidelines were unveiled at the AAM's 2016 annual meeting, and are now available at no charge online (http:/www.aam us.org/resources/professional networks/lgbtq) The LGBTQ Alliance encourages readers to use and review the Guidelines and to make observations, critiques and corrections directly to the current chair, Mike Lesperance (mike@thedesignminds.com)