nils-herrmann/clean_scirepeval huggingface dataset:
Food allergy innovation in advocacy, research and training to support and protect those at risk
Year: 2018

The profile of severe allergy and particularly food allergy has developed significantly since the early 1990s. The establishment of the Anaphylaxis Campaign in 1994 in the UK led to a serendipitous relationship between advocacy and research. Investigating the impact of food allergy through early member surveys informed Campaign initiatives and government and food industry policies, both to improve food information and the control of allergen risks, and access to specialist health care and the management of allergic emergencies. Their success in turn depended on individuals and organisations understanding their own roles in reducing allergy risks and being ready to work together to contribute to further research and advocacy. Collaborative and trusted partnerships within and beyond the UK continue to shape food and healthcare regulation and best practice, and contribute to standards for patient and consumer support, clinical and academic research. Formal and informal education and training, strategies to make scientific and clinical research accessible and applicable in food production and healthcare, and active use of social and other media shape knowledge and understanding for individuals at risk, those caring for them and those responsible for supplying their food. There are elusive knowledge gaps and research questions which require further attention. Primary prevention of food allergy seems to be possible through protocols for early dietary intervention, but the longer term allergy profile for these children is not yet known. Initiatives are underway to reverse food allergy through immunotherapy, both through supervised consumption of everyday foods and through pharmaceutically prepared updosing for consumption or via the skin. The impact of severe allergy on quality of life indicates a need for tailored psychological support for some children, young people and adults. The role of local and national food control bodies to advise and supervise food businesses in controlling and communicating the presence of food allergens is key to ensuring consumer protection for those at risk. Investigations following severe and fatal reactions which may have involved food allergy require a collaborative approach, the timely collection of samples (wherever possible) careful selection and use of appropriate legislation, analytical support and reporting. Work continues to define allergen thresholds, and to understand their inter relationship with symptom severity. Studies currently underway attempt to take into account some of the co factors associated with severity. Progress towards the adoption and acceptance of allergen thresholds in food production and labelling, voluntarily or through regulation depends on improved stakeholder understanding and a high degree of trust, particularly for those making risk decisions about their own food, or food for those in their care.
THE IMPACT OF SOCIAL MEDIA ON CONSUMERS' HEALTH BEHAVIOR TOWARDS CHOOSING HERBAL COSMETICS
Year: 2020

There is an increasing demand of cosmetics for maintaining and enhancing human beauty, but cosmetics products, may include a number of harmful toxins which can be produce sever side effect. Global interest toward Herbal cosmetic is rising because of safety, as a products or homemade formula. The aim of the present study is to know the role of social media on consumers' health behavior toward Herbal cosmetic. depth interviews are used to collect the data by asking face to face to the respondent. Our results finds, that most of people in Jordan preferred Herbal cosmetic due to its safety, and 61.33% of sample agree that social media played an important role in switching them desire from Organic cosmetic to Herbal cosmetic, and Social Media Stars are the mean influencer in desire change. The innovative way to advert natural cosmetics in Jordan, throw inviting Social media influencers to drive people into Herbal cosmetic.
A novel feature selection method for speech emotion recognition
Venue: Applied Acoustics
Year: 2019

Speech emotion recognition involves analyzing vocal changes caused by emotions with acoustic analysis and determining the features to be used for emotion recognition. The number of features obtained by acoustic analysis reaches very high values depending on the number of acoustic parameters used and statistical variations of these parameters. Not all of these features are effective for emotion recognition; in addition, different emotions may effect different vocal features. For this reason, feature selection methods are used to increase the emotional recognition success and reduce workload with fewer features. There is no certainty that existing feature selection methods increase/decrease emotion recognition success; some of these methods increase the total workload. In this study, a new statistical feature selection method is proposed based on the changes in emotions on acoustic features. The success of the proposed method is compared with other methods mostly used in literature. The comparison was made based on number of feature and emotion recognition success. According to the results obtained, the proposed method provides a significant reduction in the number of features, as well as increasing the classification success.
Chapter 02 04 Development of Dissociation and Development of the Self
Year: 2014

Dissociation is a complex psychophysiological process that alters the accessibility of memory and knowledge, integration of behavior, and sense of self (Putnam, 1994) The etiologic role of traumatic experience in dissociative processes has long been posited (Breuer Freud, 1986/1895, Janet 1889) but relatively little attention has aimed to understand the developmental processes that underlie observed associations between trauma and dissociation. Recently, scholars have suggested that the developing self (or disruptions in self processes) may account for this association (Bowlby, 1969/1982; Kohut, 1971) In this chapter, we employ an organizational developmental framework to understand dissociative processes with respect to both developmental adaptation and deviation. We argue that dissociation is integrally related to the developing self, and that pathological dissociation disrupts the development of the self (Putnam, 1994, 1995) and/or results from disturbances in the self (Liotti, 1992) Thus, dissociative processes both affect and are affected by organization of the self.
Ethics in Human Resources: An Exercise Involving New Employees
Year: 2010

This situation based exercise introduces the concept of an ethical dilemma a situation in which two or more values are in conflict. Ethical dilemmas in business concern four major areas: human resources, customer confidence, conflicts of interest, and the use of corporate resources (Trevino Nelson, 2010) Ethical dilemmas are most difficult to identify when they combine several different areas. New employees are especially vulnerable because they are often overwhelmed with information and have not yet been socialized into the company's organizational and ethical culture. Human Resource Management can play a critical role fostering an ethical culture by providing orientation and training for all employees. The following case challenges students by placing them in the midst of a realistic business ethics situation.
KI 2020: Advances in Artificial Intelligence: 43rd German Conference on AI, Bamberg, Germany, September 21 25, 2020, Proceedings
Venue: KI
Year: 2020

s of Pre published Papers Cones, Negation, and All That 235 Ozgur Lutfu Ozcep, Mena Leemhuis, and Diedrich Wolter Swarm Based Cluster Analysis for Knowledge Discovery 240 Michael C. Thrun and Alfred Ultsch Draw with Me: Human in the Loop for Image Restoration 245 Thomas Weber, Zhiwei Han, Stefan Matthes, Heinrich Hussmann, and Yuanting Liu Technical Contributions Reasonable Machines: A Research Manifesto 251 Christoph Benzmuller and Bertram Lomfeld A Heuristic Agent in Multi Agent Path Finding Under Destination Uncertainty 259 Lukas Berger, Bernhard Nebel, and Marco Ragni Earnings Prediction with Deep Leaning 267 Lars Elend, Sebastian A. Tideman, Kerstin Lopatta, and Oliver Kramer Integrating
ANALISIS KEBIJAKAN PELAYANAN KESEHATAN PRIMER DALAM MANAJEMEN PENATALAKSANAAN PENYAKIT KRONIS LANSIA
Year: 2017

Studi ini bertujuan untuk menganalisis kebijakan pelayanan kesehatan primer dalam manajemen penatalaksanaan penyakit kronis pada lansia di Indonesia. Metode yang digunakan adalah content analysis dengan melakukan penelusuran literature review secara terintegrasi dari berbagai sumber, baik dalam bentuk jurnal maupun buku teks dari tahun 2004 sampai 2013 tingkat nasional maupun internasional. Hasil literature review menguraikan bahwa fokus kebijakan pelayanan kesehatan primer harus bersifat holistik (mencakup aspek Bio, psikososial, dan spiritual) dan komprehensif (mencakup upaya promotif, preventif, kuratif dan rehabilitatif) mulai di tingkat individu, keluarga, kelompok ataupun di tingkat masyarakat. Beberapa pendekatan yang harus dijalankan adalah menyediakan pelayanan kesehatan dasar yang dekat dengan masyarakat, seperti: Pusat kesehatan masyarakat (Puskesmas) induk dan pembantu, Posbindu lansia, dan upaya kesehatan bersumber daya masyarakat (UKBM) lainnya dengan kegiatan yang bervariasi. Bentuk upaya yang dapat dilakukan adalah: pendidikan kesehatan, deteksi dini, memandirikan masyarakat khususnya keluarga melalui strategi empowerment, partnership, dan manajemen pembiayaan yang efektif. Kesimpulannya adalah kebijakan pelayanan kesehatan primer harus bersifat holistik dan komprehensif, terjangkau, dan dalam upaya meningkatkan kemandirian lansia dan keluarga.  Kebijakan, Pelayanan kesehatan primer, Penatalaksanaan, Penyakit kronis, Lanjut usia
Enhancing Software Evolution Requirements Engineering Based on User Feedback
Venue: Computer and Information Science
Year: 2020

End user feedback has an essential role in the requirement's identification, prioritization, and management of the software evolution process. Several approaches are proposed for utilizing user pushed feedback collected from social media, forums, and review systems. The collected feedback via the online channels contains a variety of information. Thus, the researchers proposed analytical approaches to classify feedback according to the data it holds. Still, recent results indicate that no single classifier works best for all feedback types and information sources. Also, online feedback does not have a direct mapping to the requirements, and it does not contain user context data. This causes wasting in developers' effort in understanding and analyzing feedback. On the other hand, online feedback cannot be used to explore user satisfaction and acceptance of the implemented and planned requirements. Likewise, the developer cannot collect feedback from a specific segment of the users. To overcome the deficiency of online feedback, this paper proposes a novel approach that utilizes pulling feedback from users while using the software. The proposed approach consists of a model and process for structuring feedback requests, linking feedback to the requirements, embedding feedback with the user context information, specifying the target audience for the feedback request, analyzing collected feedback depending on predefined interpretation rules, which provide insights that support developers in release planning. The feedback request model and process are implemented by a tool called FeatureEcho which was evaluated in a software company by conducting a case study for upgrading a governmental internet portal. The results indicate that FeatureEcho is a valuable step towards increasing the understanding of the end users needs which supports the decision making procedure of software evolution.
Design of wavefronts transformers with complementary media
Year: 2014

18. F.W. Grover, Inductance calculations: Working formulas and tables,Instrumentation Systems Publication, Mineola, NY, 1982.19. A. Taflove, Computational electrodynamics: The finite differencetime domain method, 2nd ed. Artech House, Norwood, MA, 2000.20. L. Rosenfeld, Theory of electrons, Dover Publications, New York,1965.21. Y. Zhao and Y. Hao, Full wave parallel dispersive finite differencetime domain modeling of three dimensional electromagnetic cloak ing structures,  (2009) 7300 7312.22. Y. Zhao, P.A. Belov, and Y. Hao, Accurate modelling of left handedmetamaterials using finite difference time domain method with spa tial averaging at the boundaries,  (2007),468 475.23. J.P. Berenger, A perfectly matched layer for the absorption of elec tromagnetic waves,  (1994) 185200.24. M. Zargham and P.G. Gulak, Integrated CMOS wireless powertransfer for neural implants, In: IEEE Biomedical Circuits and Sys tems Conference (BioCAS) (2011) 165 168.25.  Wagner and J.B. Schneider, Divergent fields, charge, andcapacitance in FDTD simulations,  (1998) 2131 2136.28.
Swiete 15: Cemetery of the Corded Ware Culture
Year: 2018

The Corded Ware culture (CWC) cemetery at site 15 in Swiete, Radymno Commune, Jaroslaw District, was researched in 2010 2011 in the context of rescue excavations before the construction of the A4 motorway. Nine features were discovered, including six graves with a niche construction. An analysis of funerary rite traits and relics forming the grave inventory indicates that the above is linked with the later stage of the CWC development in Lesser Poland. Analogical materials are found in the neighbouring sites 11 and 20 in Swiete and 7 in Skoloszow. On the basis of radiocarbon dating the chronology of the cemetery complex was defined to the period 2525 2380 BC. An interesting element of grave inventories is vessels analogous to finds from the Middle Dnieper and Catacomb cultures. These point to the ties of communities using the cemetery complex in Swiete with those to the east of Lesser Poland confirmed in the analysis conducted of stable isotopes of strontium.
TieNet: Text Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X Rays
Venue: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
Year: 2018

Chest X rays are one of the most common radiological examinations in daily clinical routines. Reporting thorax diseases using chest X rays is often an entry level task for radiologist trainees. Yet, reading a chest X ray image remains a challenging job for learning oriented machine intelligence, due to (1) shortage of large scale machine learnable medical image datasets, and (2) lack of techniques that can mimic the high level reasoning of human radiologists that requires years of knowledge accumulation and professional training. In this paper, we show the clinical free text radiological reportscan be utilized as a priori knowledge for tackling these two key problems. We propose a novel Text Image Embedding network (TieNet) for extracting the distinctive image and text representations. Multi level attention models are integrated into an end to end trainable CNN RNN architecture for highlighting the meaningful text words and image regions. We first apply TieNet to classify the chest X rays by using both image features and text embeddings extracted from associated reports. The proposed auto annotation framework achieves high accuracy (over 0.9 on average in AUCs) in assigning disease labels for our hand label evaluation dataset. Furthermore, we transform the TieNet into a chest X ray reporting system. It simulates the reporting process and can output disease classification and a preliminary report together. The classification results are significantly improved (6% increase on average in AUCs) compared to the state of the art baseline on an unseen and hand labeled dataset ()
Improved cardiovascular planning strategies in patients with congenital heart disease
Year: 2008

I. Valverde, T. Tangcharoen, H. Bliek, G. Penney, M. Breeuwer, T. Schaeffter, P. Beerbaum, R. Razavi, and G. Greil Division of Imaging Sciences, King's College London, London, United Kingdom, United Kingdom, Division of Cardiology, Department of Internal Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand, Healthcare Informatics Patient Monitoring, Philips Healthcare, Division of Imaging Sciences, King's College London
Chemical composition, antioxidant activity and antimicrobial activity of essential oil from Citrus aurantium L zest against some pathogenic microorganisms
Venue: Zeitschrift fur Naturforschung. C, Journal of biosciences
Year: 2019

This study aims to investigate the chemical composition, antioxidant, and antimicrobial activity of Citrus aurantium L zest essential oil. The identification of the chemical compounds was done using chromatography analysis. The antioxidant activity was studied by the 1,1 diphenyl 2 picrylhydrazyl (DPPH) radical scavenging assay. Results showed that the main components of the essential oil were limonene (85.22% b myrcene (4.3% and a pinene (1.29% Regarding the DPPH radical scavenging ability, the zest essential oil showed higher activity than limonene. The antimicrobial activity of the essential oil against pathogenic [Staphylococcus aureus NBIMCC 3703, Salmonella sp. (clinical isolate) Pseudomonas aeruginosa NBIMCC 1390, Bacillus subtilis NBIMCC 1208, Escherichia coli NBIMCC 3702] microorganisms by disc diffusion method was examined. Gram positive bacteria were more sensitive to the oil (inhibition zones being between 9 and 12.5 mm) and the minimum inhibitory concentration was more than 600 ppm; Gram negative bacteria were less sensitive. The obtained essential oil displayed promising results for its application as a biopreservative agent.
CORPO, CULTURA E TECNICAS: UMA PERSPECTIVA DE PESQUISADORES BRASILEIROS
Year: 2016

Este artigo apresenta uma revisao de literatura, buscando verificar que usos sao atribuidos ao termo "tecnicas corporais" como objeto de estudo por pesquisadores brasileiros. Para isso, foi realizada pesquisa de natureza exploratoria em bases de dados do Scielo, Lilacs e Google Academico, usando como descritores: corpo, subjetividade, sincretismo, tecnica corporal e Mauss. O quadro teorico se apoiou, sobretudo, em Mauss (2003) e Goffman (2009) Verificou se que ha uma producao bibliografica substantiva no Brasil acerca do termo "tecnica corporal" e que nos artigos analisados as descricoes das tecnicas corporais nao seguem um padrao uniforme.
Effect of nutrient sources on productivity of fodder cropping systems in Punjab
Year: 2012

A field study was conducted to investigate the effect of nutrient sources on green fodder productivity of different fodders in cropping system mode at Ludhiana on a sandy loam soil in split plot design. The main plots consisted of four fodder cropping systems i.e. sorghum [Sorghum bicolor (L. Moench] berseem (Trifolium alexandrinum L. maize (Zea mays L. berseem pearlmillet [Pennisetum glaucum (L. R. Br. emend. Stuntz] maize berseem maize cowpea [Vigna unguiculata (L. Walp] and sorghum clusterbean [Cyamopsis tetragonoloba (L. Taub] oat (Avena sativa L. cowpea and three nutrient management systems viz. organic, chemical and integrated in sub plots with three replications. The highest maize equivalent green fodder yield (83.3 t/ha) was obtained in maize berseem pearlmillet fodder cropping system, which was significantly higher than sorghum berseem, but statistically at par with the sorghum clusterbean oat cowpea and maize berseemmaize cowpea cropping systems. Pearlmillet (64.2 t/ha) in summer, sorghum (34.6 t/ha) in kharif and berseem (62.7 t/ha) in rabi season gave the highest green fodder yield. The organic nutrient management produced significantly higher total system green fodder productivity (125.8 t/ha) and maize equivalent green fodder yield (85.4 t/ha) than the integrated and chemical fertilizer system. The organic carbon status of the soil increased by 24 and 11% over its initial status with the adoption of organic and integrated nutrient management systems, respectively. The available nitrogen, phosphorus and potassium status in soil were also higher in organic and integrated nutrient management as compared to chemical fertilizer application.
Visual Tracking via Adaptive Spatially Regularized Correlation Filters
Venue: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Year: 2019

In this work, we propose a novel adaptive spatially regularized correlation filters (ASRCF) model to simultaneously optimize the filter coefficients and the spatial regularization weight. First, this adaptive spatial regularization scheme could learn an effective spatial weight for a specific object and its appearance variations, and therefore result in more reliable filter coefficients during the tracking process. Second, our ASRCF model can be effectively optimized based on the alternating direction method of multipliers, where each subproblem has the closed from solution. Third, our tracker applies two kinds of CF models to estimate the location and scale respectively. The location CF model exploits ensembles of shallow and deep features to determine the optimal position accurately. The scale CF model works on multi scale shallow features to estimate the optimal scale efficiently. Extensive experiments on five recent benchmarks show that our tracker performs favorably against many state of the art algorithms, with real time performance of 28fps.
Prevalence and Associated Features of Anxiety Disorder Comorbidity in Bipolar Disorder: A Meta Analysis and Meta Regression Study
Venue: Front. Psychiatry
Year: 2018

Bipolar disorder is highly comorbid with anxiety disorders, however current and lifetime comorbidity patterns of each anxiety disorder and their associated features are not well studied. Here, we aimed to conduct a meta analysis and meta regression study of current evidence.  We searched PubMed to access relevant articles published until September 2015, using the keywords "Bipolar disorder" or "Affective Psychosis" or "manic depressive" separately with "generalized anxiety," "panic disorder," "social phobia," "obsessive compulsive," and "anxiety." Variables for associated features and prevalence of anxiety disorders were carefully extracted.  Lifetime any anxiety disorder comorbidity in BD was 40.5% panic disorder (PD) 18.1% generalized anxiety disorder (GAD) 13.3% social anxiety disorder (SAD) 13.5% and obsessive compulsive disorder (OCD) 9.7% Current any anxiety disorder comorbidity in BD is 38.2% GAD is 15.2% PD 13.3% SAD 11.7% and OCD 9.9% When studies reporting data about comorbidities in BDI or BDII were analyzed separately, lifetime any anxiety disorder comorbidity in BDI and BDII were 38% and 34% PD was 15% and 15% GAD was 14% and 16.6% SAD was 8% and 13% OCD was 8% and 10% respectively. Current any DSM anxiety disorder comorbidity in BDI or BDII were 31% and 37% PD was 9% and 13% GAD was 8% and 12% SAD was 7% and 11% and OCD was 8% and 7% respectively. The percentage of manic patients and age of onset of BD tended to have a significant impact on anxiety disorders. Percentage of BD I patients significantly decreased the prevalence of panic disorder and social anxiety disorder. A higher rate of substance use disorder was associated with greater BD SAD comorbidity. History of psychotic features significantly affected current PD and GAD.  Anxiety disorder comorbidity is high in BD with somewhat lower rates in BDI vs BDII. Age of onset, substance use disorders, and percentage of patients in a manic episode or with psychotic features influences anxiety disorder comorbidity.