nils-herrmann/clean_scirepeval huggingface dataset:
Massage with or without aromatherapy for symptom relief in people with cancer
Venue: Research in nursing health
Year: 2018

Cancer diagnosis and treatment brings with it many physical and mental consequences including, pain, anxiety, and stress. Massage is a complementary therapy used to achieve both physical and mental relaxation as well as alleviate cancer symptoms including pain and distress. Aromatherapy is the addition of essential oils to the massage and is claimed to have beneficial sensory outcomes. Massage also provides intimate human contact, which people generally find therapeutic although some can find it stressful. This review is an update of a Cochrane review first published in 2004 (Shin et al. 2016)
Students' Perceptions of the Twists and Turns of E learning in the Midst of the Covid 19 Outbreak
Year: 2020

The pandemic corona virus 2019 (COVID 19) has become an international concern and poses challenges to psychological resilience in all fields, one of which is education. Therefore an effective learning strategy is needed to deal with this pandemic. The purpose of this study was to survey students spread across various universities in Indonesia and Malaysia regarding e learning systems conducted during the COVID 19 outbreak in Indonesia and Malaysia in 2020, e learning systems starting from student knowledge about e learning, planning e learning, implementing e learning until evaluating e learning activities. Data will be used for future reference. This research is a descriptive study with cross sectional approach. The Likert scale survey method is used with a total of 136 student respondents from tertiary institutions in Indonesia and Malaysia. The results of the analysis show that students know e learning as a distance learning system in dealing with the current pandemic corona virus, 51% expressed agreement related to e learning preparation, 38% stated neutral in e learning planning and 68% stated neutral in evaluating the implementation of e learning. Student assessment and good perception about e learning play a big role in the implementation of learning with e learning. E learning has a positive impact and has become an alternative learning process for lecturers and students. Good preparation is needed in implementing e learning so that e learning activities can be carried out effectively. Interaction can be developed and limited conditions through face to face meetings can be answered through e learning activities.
Los motivos de conversion, estudios de caso en La Luz del Mundo, Guadalajara, Mexico
Year: 2018

Este articulo estudia el impacto del lider carismatico de la iglesia de La Luz del Mundo en los motivos de conversion, en la participacion ritual y en la forma en que los creyentes dedican su vida diaria a Dios. Los testimonios de conversion son un material que permitira una reflexion sobre la relacion de las disposiciones subjetivas del sistema operativo convertido y la oferta de un orden social por parte de las autoridades eclesiasticas. La conversion es el primer momento de socializacion religiosa, que marca las disposiciones futuras para la comunidad y la institucion religiosa.
Different types of adjuvants in prophylactic and therapeutic human papillomavirus vaccines in laboratory animals: a systematic review
Venue: Archives of Virology
Year: 2019

Human papillomavirus (HPV) causes cervical carcinoma, which and is the third most common cancer, accounting for 275,000 deaths annually worldwide. Adjuvants have a key role in promotion of vaccine efficacy; therefore, using prophylactic and therapeutic vaccines combined with adjuvant could be of great benefit in prevention and treatment of cervical cancer. There are different types of adjuvants, including MF59TM adjuvants, RNA based, JY (interleukin2/chitosan) cholera toxin (CT) heat labile enterotoxin (LT) Freund's adjuvant, alum, SA 4 1BBL, l carrageenan (l CGN) heat shock proteins (HSPs) juzen taiho to (JTT) and hochu ekki to (HET) ISCOM and ISCOMATRIX(tm) very small size proteoliposomes (VSSPs) granulocyte macrophage colony stimulating factor (GM CSF) and Toll like receptors (TLRs) Adjuvants have various functions, especially in therapeutic vaccines, and they lead to an increase in cytotoxic T lymphocytes (CTLs) so they are important in the design of vaccines. Here, we review the currently used adjuvants and their combinations with HPV protein vaccines in order to introduce an appropriate adjuvant for HPV vaccines.
Diver Propulsion Vehicle using MATLAB: A survey
Year: 2019

DPVs have recreational, scientific and military applications. A diver propulsion vehicle (DPV) also known as an underwater propulsion vehicle or underwater scooter is an item of equipment used by scuba divers and rebreather divers underwater to increase the range. Range is restricted by the amount of breathing gas that can be carried, the rate at which that breathing gas is consumed, and the battery power of the DPV. Though this has been the common methodology for many years, there is an emerging technique that involves developing algorithms with graphical tools. This improves development time, decreases programming complexity, and facilitates sharing of the design with co workers. A leading software package that fits this mold is MATLAB, from The Math Works.[1]With the use of MATLAB software this paper will also be useful to understand and study different parameters for data analysis and to design efficient machine for recreational diving industry according to the commercial point of view. The basic optimization steps is minimizing DPV drag force to reduce power required.
Stability through value chains? Role of participation in production networks participation in export duration
Year: 2017

There is growing empirical evidence on the short duration of export spells at both the product and firm level. While the empirical studies attributed export duration mostly to diversification, export market heterogeneity and information networks, this paper also looks at the effect participation in production networks has on different dimensions of exporting longevity. Despite the widely accepted view that there is a strong correlation between export and FDI patterns, to our knowledge the role of FDI on the persistence of export product destination mix has not yet been explored. In this paper we explicitly focus on FDI as a determinant of export spell duration, by controlling for the role played by both inward and outward FDI in the duration of export spells covering all extensive margins of exporting. We use transaction level data on the population of firms in Slovenia (2002 2011) matched with detailed information of origin/direction of inward/outward FDI and firm balance sheets. Our results indicate that bilateral FDI flows with the export destination country have a strong positive effect on the duration of a firms exporting presence in that market as well as on the duration of related product market spells. Additionally, there are pronounced market and product related trade complementarities as either exporting or importing experience with the relevant market/product substantially improves the chances of an export spell continuing. Finally, we find convincing if indirect evidence that participation in production networks greatly improves exporting survival at the product destination level.
The many faces of penile lichen planus
Venue: International journal of dermatology
Year: 2019

A 54 year old Caucasian male presented with a 3 month history of intermittently pruritic, purple, thin, reticular plaques on the penis. He had no other skin or mucosal involvement. There was no evidence of nail changes on physical examination. He denied any history of hepatitis C, hepatitis B, or human immunodeficiency virus (HIV) He had applied hydrocortisone 2.5% cream to the area daily for 3 weeks without any improvement in symptoms or clinical appearance. He was on no other medications. Physical examination revealed thin purple plaques with prominent lacy white reticulation on the penile shaft  He had no oral involvement. The patient was started on topical triamcinolone 0.1% ointment to the affected areas for 6 weeks with symptom improvement. In this patient, because of the characteristic clinical findings and improvement with topical mid
Mass Spectrometry Analysis in Atmospheric Chemistry.
Venue: Analytical chemistry
Year: 2018

In the Earth's atmosphere, numerous gas phase species and airborne particles form a complex mixture called atmospheric aerosol. A variety of natural and anthropogenic primary emission sources along with chemical and photochemical transformations of the emitted compounds in the atmosphere contribute to a large diversity of aerosols, which often contain hundreds of individual components existing in different phases in a dynamic gas particle  3 Common examples of atmospheric aerosols include sea salt spray (SSA) biomass burning organic aerosol (BBOA) mineral dust, soot, biological aerosol, and forest haze. Organic aerosol (OA) is commonly categorized either as a primary organic aerosol (POA) or secondary organic aerosol (SOA) depending on how it is produced. However, this distinction is quickly erased by the chemical and physical aging processes in the atmosphere. In the aerosol system, concentrations of individual compounds both in the gas and condensed phases can differ by orders of magnitude.
Bio efficacy of new insecticides against major sucking pests and effect on their natural enemies of Bt cotton BG II
Year: 2019

The experiment was carried out during the kharif season of 2010. In this experiment bio efficacy of new insecticides against major sucking pests and effect on their natural enemies of Bt cotton BG II study was taken. The result revealed that the Imidacloprid 17.8 SL were most effective against management of sucking pests such as aphid, jassids and thrips population. Whereas, fipronil 5 SC and acephate 75 SP were equally reduced the aphids population. Thiamethoxam 25 WG, dimethoate 30 EC and trizophos 40 EC were superior against white flies. Imidacloprid 17.8 SL, acetamiprid 20 SP and thiamethoxam 25 WG not only proved to be effective against jassids but also did not showed its adverse effects on the population of lady bird beetle adult and grubs, Chrysopa larvae and spiders at 10 DAT. Imidacloprid 17.8 SL followed by acephate 95 SG and 75 SP was obtained highest seed cotton yield recorded highest ICBR (1: 14.13) indicating most cost effective treatment.
Guide de bonnes pratiques pour les Administrateurs Systemes et Reseaux
Year: 2012

Le Guide des Bonnes Pratiques tente de recenser les specificites majeures du metier Administrateurs Systemes et Reseaux (ASR) Il formalise un ensemble de comportements qui font consensus dans la communaute des ASR pour elaborer un corpus de bonnes pratiques d'organisation. Ce guide peut contribuer a rendre les missions du metier plus lisibles, ameliorer l'organisation et la technicite mises en oeuvre au sein de nos services vis a vis de nos utilisateurs, de nos directions et de nos tutelles. Ce projet de guide est ne a l'initiative de RESINFO a partir d'une reflexion generale liee aux differents contextes de travail de notre metier dans lesquels on assiste a une intensification des taches d'exploitation des systemes informatiques et des reseaux, et des responsabilites attenantes, la plupart du temps a moyens humains constants. Son objectif vise a determiner les pratiques et les processus a mettre en place sur le terrain, pour une meilleure organisation personnelle et de travail, afin d'ameliorer la qualite et la fourniture de services, la securisation de nos serveurs et reseaux, la documentation de nos actions, la communication avec les utilisateurs, la prise en compte des evolutions technologiques, et in fine la lisibilite de nos activites d'ASR. Pour ce faire, nous avons utilise les normes ISO pour donner un cadre referentiel a nos pratiques de terrain, ce qui permet de mieux rendre compte de nos activites et de mieux les structurer. Les grandes lignes que nous abordons sont la fourniture de service (le guide decrit les bonnes pratiques des ASR pour assurer une qualite de service grace aux principaux processus de la norme ISO 20000 la securite du Systeme d'Information (SI) de nos unites et le respect des contraintes juridiques (qui ont ete replaces dans le cadre normatif ISO 27001) la communication, la gestion du temps et les relations humaines il s'agit de proposer a l'ASR quelques bonnes pratiques pour s'organiser dans son propre contexte et enfin, la prise en compte des aspects d'impact environnemental lies directement a l'utilisation des Technologies de l'Information et de la Communication nous y indiquons les pistes de base necessaires pour veiller a la reduction de l'impact des TIC sur l'environnement la veille technologique et la formation permanente nous terminons sur la necessite de suivre au plus pres les evolutions technologiques en cours, de se former de facon permanente et de participer aux structures d'echanges du metier.
Improving Biomedical Pretrained Language Models with Knowledge
Venue: BIONLP
Year: 2021

Pretrained language models have shown success in many natural language processing tasks. Many works explore to incorporate the knowledge into the language models. In the biomedical domain, experts have taken decades of effort on building large scale knowledge bases. For example, UMLS contains millions of entities with their synonyms and defines hundreds of relations among entities. Leveraging this knowledge can benefit a variety of downstream tasks such as named entity recognition and relation extraction. To this end, we propose KeBioLM, a biomedical pretrained language model that explicitly leverages knowledge from the UMLS knowledge bases. Specifically, we extract entities from PubMed abstracts and link them to UMLS. We then train a knowledge aware language model that firstly applies a text only encoding layer to learn entity representation and then applies a text entity fusion encoding to aggregate entity representation. In addition, we add two training objectives as entity detection and entity linking. Experiments on the named entity recognition and relation extraction tasks from the BLURB benchmark demonstrate the effectiveness of our approach. Further analysis on a collected probing dataset shows that our model has better ability to model medical knowledge.
The impact of big data on firm performance in hotel industry
Venue: Electron. Commer. Res. Appl.
Year: 2020

Big data has increasingly appeared as a frontier of opportunity in enhancing firm performance. However, it still is in early stages of introduction and many enterprises are still un decisive in its adoption. The aim of this study is to propose a theoretical model based on integration of Human Organization Technology fit and Technology Organization Environment frameworks to identify the key factors affecting big data adoption and its consequent impact on the firm performance. The significant factors are gained from the literature and the research model is developed. Data was collected from top managers and/or owners of SMEs hotels in Malaysia using online survey questionnaire.  Modelling (SEM) is used to assess the developed model and Adaptive Neuro Fuzzy Inference Systems (ANFIS) technique is used to prioritize adoption factors based on their importance levels. The results showed that relative advantage, management support, IT expertise, and external pressure are the most important factors in the technological, organizational, human, and environmental dimensions. The results further revealed that technology is the most important influential dimension. The outcomes of this study can assist the policy makers, businesses and governments to make well informed decisions in adopting big data.
Successful unrelated cord blood transplantation for a patient with CD40 ligand deficiency
Venue: Haematologica
Year: 2007

We report a CD40 ligand deficiency (CD40LD) patient who was successfully treated with unrelated cord blood transplantation (URCBT) Conditioning regimen was busulfan and cyclophosphamide. The clinical course was uneventful and durable engraftment was achieved. This successful case encourages the use of URCB as an alternative donor source for CD40LD patients.
A Simple Analysis of Multimodal Data Fusion
Venue: 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
Year: 2020

Multimodal data fusion has a long research history since audio visual speech recognition, which is inspired by the McGurk effect. Because of the limited model capacity of the traditional methods, multimodal data fusion researches are not so popular for a period. Recently, the advances of deep learning techniques open up new opportunities for the multimodal data fusion field. However, there is still a great gap in multimodal data processing ability between artificial intelligence and human beings. Many problems in multimodal data processing are still necessary to be researched. In this work, we propose to gain an insight into the information fusion level and apply different information fusion strategy to different situations. We analyze the different situations of the multimodal data fusion process and divide them into two categories, including consistent information fusion and contradictory information fusion. We demonstrate some toy examples of the different cases of the multimodal data fusion process.
BAT: Deep Learning Methods on Network Intrusion Detection Using NSL KDD Dataset
Venue: IEEE Access
Year: 2020

Intrusion detection can identify unknown attacks from network traffics and has been an effective means of network security. Nowadays, existing methods for network anomaly detection are usually based on traditional machine learning models, such as KNN, SVM, etc. Although these methods can obtain some outstanding features, they get a relatively low accuracy and rely heavily on manual design of traffic features, which has been obsolete in the age of big data. To solve the problems of low accuracy and feature engineering in intrusion detection, a traffic anomaly detection model BAT is proposed. The BAT model combines BLSTM (Bidirectional Long Short term memory) and attention mechanism. Attention mechanism is used to screen the network flow vector composed of packet vectors generated by the BLSTM model, which can obtain the key features for network traffic classification. In addition, we adopt multiple convolutional layers to capture the local features of traffic data. As multiple convolutional layers are used to process data samples, we refer BAT model as BAT MC. The softmax classifier is used for network traffic classification. The proposed end to end model does not use any feature engineering skills and can automatically learn the key features of the hierarchy. It can well describe the network traffic behavior and improve the ability of anomaly detection effectively. We test our model on a public benchmark dataset, and the experimental results demonstrate our model has better performance than other comparison methods.
Mansuripur's Paradox
Year: 2015

An electrically neutral current loop, with magnetic dipole m0, that is at rest in a static, uniform electric field E0 experiences no force or torque. However, if that system is observed in the lab frame where the loop has velocity v parallel to E0, and v c, where c is the speed of light, then there appears to be an electric dipole moment, p v/cxm0 associated with the loop (in Gaussian units) Naively, the torque on this moment due to the electric field (which has strength E E0 +O(v2/c2) in the lab frame) is t px E E0vm0/c. Can/should the torque be different in different frames of reference? This paradox was first posed by Spavieri  and more recently by Mansuripur [7] It is a conceptual variant of a famous problem by Shockley  that introduced the concept of "hidden mechanical momentum." The paradox is compounded by supposing the static, "uniform" electric field is due to a single electric charge q at large, fixed distance from the magnetic moment in the rest frame of the latter, and the lab frame velocity v is along the line of centers of the charge and moment. Discuss the force on charge q in the lab frame.
Quality of patient health information on the Internet: reviewing a complex and evolving landscape.
Venue: The Australasian medical journal
Year: 2014

The popularity of the Internet has enabled unprecedented access to health information. As a largely unregulated source, there is potential for inconsistency in the quality of information that reaches the patient.  To review the literature relating to the quality indicators of health information for patients on the Internet.  A search of English language literature was conducted using PubMed, Google Scholar and EMBASE databases.  Many articles have been published which assess the quality of information relating to specific medical conditions. Indicators of quality have been defined in an attempt to predict higher quality health information on the Internet. Quality evaluation tools are scoring systems based on indicators of quality. Established tools such as the HONcode may help patients navigate to more reliable information. Google and Wikipedia are important emerging sources of patient health information.  The Internet is crucial for modern dissemination of health information, but it is clear that quality varies significantly between sources. Quality indicators for web information have been developed but there is no agreed standard yet. We envisage that reliable rating tools, effective search engine ranking and progress in crowd edited websites will enhance patient access to health information on the Internet.
A Green and Straightforward Synthesis of 4C/ Substituted Terpyridines Synthesis of 4C/ Aryl Terpyridines
Year: 2006

Synthesis of 4C/ Aryl Terpyridines An reas Winter,a Antje M. J. van den Berg,a Richard Hoogenboom,a Guido Kickelbick,b Ulrich S. Schubert*a,c a Laboratory of Macromolecular Chemistry and Nanoscience, Eindhoven University of Technology, P.O. Box 513, 5600 MB Eindhoven, The Netherlands b Institute of Materials Chemistry, Vienna University of Technology, Getreidemarkt 9/165, 1060 Vienna, Austria c Center for Nanoscience, LMU Munich, Geschwister Scholl Platz 1, 80333 Munich, Germany Fax +31(40)2474186;  u.s.schubert@tue.nl Received 28 March 2006; revised 3 May 2006
Uncertainty Quantification of a Rotorcraft Conceptual Sizing
Year: 2018

A computational framework to support the quantification of system uncertainties and sensitivities for rotorcraft applications is presented using the NASA Design and Analysis of Rotorcraft (NDARC) conceptual sizing tool. A 90 passenger conceptual tiltrotor configuration was used for case demonstration in the modeling of uncertainties in NDARCs emission module. A non intrusive forward propagation uncertainty quantification approach was applied to ensemble simulations using a Monte Carlo methodology with stratified Latin hypercube sampling. An off the shelf software, DAKOTA, which supports trade studies and design space exploration, including optimization, surrogate modeling and uncertainty analysis, was used to address the research goals. Further, a toolsuite was developed incorporating DAKOTA with automated design processes and methods using function wrappers to execute program routines including support for data post processing. Uncertainties in rotorcraft emissions modeling using the Average Temperature Response metric for a set mission profile were studied. NDARC under estimates the effects of emissions when using the baseline modeling parameters for the Average Temperature Response compared with mean results from Monte Carlo simulations. A global sensitivity analysis was further undertaken to quantify the contribution of the various emission species on output sensitivity. The work demonstrates that the developed toolsuite is robust and could support the quantification of system uncertainties and sensitivities in future rotorcraft design efforts.