nils-herrmann/clean_scirepeval huggingface dataset:
Rhetorical Analysis of Hate Speech: Case Study of Hate Speech Related to Ahok's Religion Blasphemy Case
Year: 2018

The discussion about hate speech is not something new. However, recently it becomes phenomenon that widely spoken. As something that naturally comes out as a human nature. Nowadays hate speech tends to be harmful because it is supported by new media such as online media and social media. This research try to discuss about hate speech related to religion blasphemy accusation that drags, Basuki Tjahaya Purnama known as Ahok into jail. This paper used qualitative method and rhetoric analysis to analyze the hate speech in online media news related to Ahok's case. The results are, hate speech came from content posted in website such as online political opinion and news. From ethos aspect, most of the hate speech neglected the ethos aspect which provides the credibility and trustworthiness of the source. from the pathos aspect, the author of the news are choosing words that triggered anger and negative emotion from its audience; from the logos aspect, most of the hate speech draws it's readers to logical fallacy due to the lackness of facts of its conclusion claim. The Hate speech rhetoric neglects the ethos and logos aspects and it mostly rely on pathos aspect to persuade its readers for hating.
Tourism management and sustainable development in world heritage sites. The case of Machu Picchu (Cuzco Peru)
Year: 2018

The Historic Sanctuary of Machu Picchu was designated as a World Heritage Site by UNESCO in 1983. This designation has transformed the region into a world famous tourist destination. In spite of the criticisms and recommendations of UNESCO, Machu Picchu presents serious management problems and chaotic tourism development. The aim of this article is to explore and discuss the consequences of tourism development and its contribution to the sustainable development of the region. Based on available statistical data from the official sources and unpublished studies of the Observatorio Turistico del Peru we proceed to a global analysis of tourism activity and its socioeconomic impact in the region. The data shows that tourism practices reproduce or deepen socioeconomic inequalities among the local population.
Maxim of Cooperative Principle Violation by Dodit Mulyanto in Stand up Comedy Indonesia Season 4
Venue: Journal of Pragmatics Research
Year: 2019

This study focuses on cooperative principle violation done by Dodit Mulyanto in Stand Up Comedy Indonesia season 4 using Grice's theory. Grice expressed cooperative principle to suggest that in conversational interaction people work on the assumption that a certain set of rules is in operation, unless they receive indications to the contrary. The aims of this research are to classify the maxims of cooperative principle and to explain how Dodit Mulyanto violates cooperative principle to raise humor in Stand Up Comedy Indonesia season 4. Besides, this research is also directed to discover the types of violation maxims, the most dominant violation maxim, and to explain the causes of the most dominant violation maxim in Dodit Mulyanto's Stand Up Comedy Indonesia season 4. This research is conducted using qualitative method. The sources of data are the 17 videos of Dodit Mulyanto's speech during his performance in Stand Up Comedy Indonesia Kompas TV season 4 by downloading from YouTube site. The data are the utterances of Dodit Mulyanto which considered contain the violation of cooperative principles. The data are collected using the check list instrument and then analyzed based on the violation on each maxim. At the end, the researcher draws the conclusion which is in accordance with the research finding. The results of the analysis shows that all types of maxim were violated; 12 utterances violation maxim of quantity (24,4% 13 utterances violation maxim of quality (26,5% 22 utterances violation maxim of relation (44,9% and 2 utterances violation maxim of manner (4,1% The most dominant type of violation maxims was the violation maxim of relation because Dodit Mulyanto delivered too much message, which is unmatched with the topic or changed conversation topic abruptly or did the wrong causality, than is required to raise humor in Stand Up Comedy Indonesia Kompas TV season 4.Keywords: Cooperative Principle, Maxim Violation, Stand Up Comedy.
ONTOLOGY MAPPING FOR ERP BUSINESS PROCESS VARIATIONS
Year: 2013

Ontology represent shared knowledge about certain domain. One important feature of ontology is its ability to grow or extend to express some new business changes. In a multi tenancy architecture, like servicebased ERP (Enterprise Resource Planning) both tenant and provider have their own ontology. Tenant's small ontology must be matched or comply with provider's big ontology before transaction take place. Similarity computation for ontology will fail to address this problem, because both ontologies are different in size. Therefore, we use ontology mapping technique to measure whether tenant's ontology is comply with provider's ontology. We employ lexical and semantic similarity algorithm to do the mapping. The results indicated that this method can be used to check the compliance of tenant's ontology with provider's ontology.
Green procurement process model based on blockchain IoT integrated architecture for a sustainable business
Year: 2019

Blockchain and IoT are recently developed technologies for the database creation and smooth functioning of supply chain activities. The purpose of this paper is to analyse the use of blockchain and IoT for green procurement activities. The integration of blockchain and IoT interface can solve many challenges faced by industries having green procurement.,Through a literature survey and interviews with procurement managers from different industries, challenges in green procurement were identified. Elements of blockchain and IoT were analysed to overcome the green procurement challenges. Architecture for blockchain and IoT is developed to be implemented in the green supply chain for a sustainable business.,The challenges of green procurement are categorised and ranked as per the industry survey results. The architecture shows the tasks of blockchain and IoT in green procurement activities.,Green procurement is still at developing stages in India as compared to Europe and many other countries. There is a requirement for more government involvement and participation from industry and customers to implement such methods. Environment issues and challenges faced by industries are addressed.,Blockchain IoT integration can transform a green supply chain. This research helps industries planning to incorporate blockchain and IoT in identifying the areas to focus and better planning of resources for the successful implementation of smart technologies in their supply chains. Green initiatives ensure global competitiveness as well as recognition at the global level. Green procurement ensures the minimal usage of energy and efficient waste disposal.,The implementation of green procurement and challenges associated with it are addressed in this research. This will work as a framework for industries looking forward to implementing blockchain and IoT in their supply chains for solving green procurement challenges.
The COVID 19 Pandemic and Rapid Implementation of Adolescent and Young Adult Telemedicine: Challenges and Opportunities for Innovation
Venue: Journal of Adolescent Health
Year: 2020

This study describes the rapid implementation of telemedicine within an adolescent and young adult (AYA) medicine clinic in response to the Coronavirus Disease 2019 (COVID 19) pandemic. While there are no practice guidelines specific to AYA telemedicine, observations made during this implementation can highlight challenges encountered and suggest solutions to some of these challenges.  Over the course of several weeks in March, 2020, the Adolescent and Young Adult Medicine Clinic at the University of California San Francisco rapidly replaced most in person visits with telemedicine visits. This required logistical problem solving, collaboration of all clinic staff members, and continuous reassessment of clinical practices. This article describes observations made during these processes.  Telemedicine visits increased from zero to 97% of patient encounters in one month. The number of visits per month was comparable with that one year prior. While there were limitations to the clinic's ability to carry out health supervision visits, many general health, mental health, reproductive health, eating disorders, and addiction treatment services were implemented via telemedicine. Providers identified creative solutions for challenges that arose to managing general confidentiality issues as well as specific challenges related to mental health, reproductive health, eating disorders, and addiction care. Opportunities to implement and expand high quality AYA telemedicine were also identified.  The COVID 19 pandemic is leading to widespread telemedicine implementation. While telemedicine seems to be feasible and acceptable for our clinic patients, unanswered questions remain regarding confidentiality, quality of care, and health disparities. Clinical guidelines are also needed to guide best practices for telemedicine in this patient population.
Qualitative research on health communication: what can it contribute?
Venue: Patient education and counseling
Year: 2011

To contribute to the debate about the value of qualitative research in health care by discussing three key issues in relation to qualitative research on health communication.  As this paper does not report the results of a primary research study or a secondary analysis, no formal search strategy was employed to identify the cited papers; many other published papers would have made the same points just as well.  The key issues are illustrated using a range of published studies drawn from the health care communication literature. The paper describes the range of outputs generated by qualitative research; illustrates different ways in which qualitative and quantitative methods can be combined; and shows the contribution of qualitative syntheses.  Greater conceptual development and explanatory power may be achieved both by more ambitious primary studies and the conduct of more qualitative syntheses. The synthesis of qualitative research also offers the opportunity to build up a cumulative evidence base.  The further development of methods of qualitative synthesis will be enhanced if qualitative researchers place greater emphasis on explanation rather than description; cite each other's work more often and conduct more syntheses; and continue to contribute to mixed methods studies.
Hedgehog in the Fog Creating and Detecting IPv 6 Transition Mechanism Based Information Exfiltration Covert Channels
Year: 2016

The Internet Protocol Version 6 (IPv6) transition opens a wide scope for potential attack vectors. Tunnel based IPv6 transition mechanisms could allow the set up of egress communication channels over an IPv4 only or dual stack network while evading detection by a network intrusion detection system (NIDS) Increased usage of IPv6 in attacks results in long term persistence, sensitive information exfiltration, or system remote control. Effective tools are required for the execution of security operations for assessment of possible attack vectors related to IPv6 security. In this paper, we review relevant transition technologies, describe two newly developed IPv6 transition mechanism based proof of concept tools for the establishment of covert information exfiltration channels, and compare their performance against common tunneling mechanisms. We evaluated commonly used exfiltration tools in an automated and virtualized environment, and assessed covert channel detection methods in the context of insider threat. An analysis of the generated test cases confirms that IPv6 and various evasion techniques pose a difficult task for network security monitoring. While detection of various transition mechanisms is relatively straightforward, other evasion methods prove more challenging. Additionally, some solutions do not yet fully support IPv6.
Evaluating Explanation Methods for Neural Machine Translation
Venue: ACL
Year: 2020

Recently many efforts have been devoted to interpreting the black box NMT models, but little progress has been made on metrics to evaluate explanation methods. Word Alignment Error Rate can be used as such a metric that matches human understanding, however, it can not measure explanation methods on those target words that are not aligned to any source word. This paper thereby makes an initial attempt to evaluate explanation methods from an alternative viewpoint. To this end, it proposes a principled metric based on fidelity in regard to the predictive behavior of the NMT model. As the exact computation for this metric is intractable, we employ an efficient approach as its approximation. On six standard translation tasks, we quantitatively evaluate several explanation methods in terms of the proposed metric and we reveal some valuable findings for these explanation methods in our experiments.
Towards Dense 3D Reconstruction for Mixed Reality in Healthcare: Classical Multi View Stereo vs Deep Learning
Venue: 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)
Year: 2019

Faithfully reproducing surroundings in 3D is a key component in Mixed Reality for medical training in neonatology, where a user sees a hospital room in a Virtual Reality helmet while retaining tangible interaction with a baby mannequin and various medical tools. Deep learning solutions have high claims against classical methods but their performance in real life application remains unclear. To fill this blank, we present a comparative study of depth map based Multi View Stereo methods for dense 3D reconstruction. We compare classical state of the art methods to their learned counterparts and assess their robustness to weakly textured and reflective surfaces as well as accuracy on thin structures both globally and locally. We also analyze the effect of depth filtering along with computational effort. Our experiments reveal various factors which contribute to the performance gap between the methods that we discuss in detail. This study is the first to evaluate traditional dense geometry reconstruction methods against brand new deep learning models. It helps to better understand what suits best the challenges of hospital environments. Furthermore, it builds a solid analytic ground to underscore the strengths and weaknesses of the learned methods.
Noise Source Identification of Electric Parking Brake by Using Noise Contribution Analysis and Identifying Resonance of Vehicle System
Year: 2012

Caliper intergrated Electric Parking Brake (EPB) is an automatic parking brake system, attached to rear caliper. Because EPB uses luxury vehicles recently, the drivers of vehicles are sensitive to the EPB noise. EPB is operated by the motor and gear, so noise is generated by motor and gear. In order to reduce noise, One of EPB manufacturers uses helical gear and changes the shape of EPB housing. But these methods are not optimized for reduction of interior noise. There are many noise transfer paths into vehicle interior and it is difficult to identify the noise sources. Therefore, in this study, we performed contribution analysis and modal testing in the vehicle system. It is possible to distinguish between air borne noise and structure borne noise in the vehicle interior noise by comparing interior noise peak with resonance mode map.
Automated Anomaly Detector Adaptation using Adaptive Threshold Tuning
Venue: TSEC
Year: 2013

Real time network and host based Anomaly Detection Systems (ADSs) transform a continuous stream of input data into meaningful and quantifiable anomaly scores. These scores are subsequently compared to a fixed detection threshold and classified as either benign or malicious. We argue that a real time ADS' input changes considerably over time and a fixed threshold value cannot guarantee good anomaly detection accuracy for such a time varying input. In this article, we propose a simple and generic technique to adaptively tune the detection threshold of any ADS that works on threshold method. To this end, we first perform statistical and information theoretic analysis of network and host based ADSs' anomaly scores to reveal a consistent time correlation structure during benign activity periods. We model the observed correlation structure using Markov chains, which are in turn used in a stochastic target tracking framework to adapt an ADS' detection threshold in accordance with real time measurements. We also use statistical techniques to make the proposed algorithm resilient to sporadic changes and evasion attacks. In order to evaluate the proposed approach, we incorporate the proposed adaptive thresholding module into multiple ADSs and evaluate those ADSs over comprehensive and independently collected network and host attack datasets. We show that, while reducing the need of human threshold configuration, the proposed technique provides considerable and consistent accuracy improvements for all evaluated ADSs.
Genome scale genetic screening identifies PRMT1 as a critical vulnerability in castration resistant prostate cancer
Year: 2020

Androgen receptor (AR) signaling is the central driver of prostate cancer growth and progression across disease states, including in most cases of castration resistant prostate cancer (CRPC) While next generation AR antagonists and androgen synthesis inhibitors are effective for a time in CRPC, tumors invariably develop resistance to these agents, commonly through mechanisms resulting in the overexpression of AR or the production of constitutively active AR splice variants (e.g. AR V7) Improved mechanistic understanding of the factors that modulate AR expression and signaling may reveal additional therapeutic intervention points in CRPC. Here, we leverage genome scale CRISPR/Cas9 genetic screening to systematically identify regulators of AR/AR V7 expression. We identify protein arginine methyltransferase 1 (PRMT1) as a critical mediator of AR expression and signaling that regulates recruitment of AR to genomic target sites. PRMT1 suppression globally perturbs the expression and splicing of AR target genes and inhibits the proliferation and survival of AR positive prostate cancer cells. Genetic or pharmacologic inhibition of PRMT1 reduces AR binding at lineage specific enhancers, which leads to decreased expression of key oncogenes, including AR itself. CRPC cells displaying activated AR signaling due to overexpression of AR or AR V7 are uniquely susceptible to combined AR and PRMT1 inhibition. Our findings implicate PRMT1 as a critical regulator of AR output and provide a preclinical framework for co targeting of AR and PRMT1 as a promising new therapeutic strategy in CRPC.
Certain Inequalities for a General Class of Analytic and Bi univalent Functions
Year: 2019

In this work, the subclass of the function class S of analytic and bi univalent functions is defined and studied in the open unit disc. Estimates for initial coefficients of Taylor Maclaurin series of bi univalent functions belonging these class are obtained. By choosing the special values for parameters and functions it is shown that the class reduces to several earlier known classes of analytic and biunivalent functions studied in the literature. Coclusions are given for all special parameters and the functions. And finally, some relevant classes which are well known before are recognized and connections to previus results are made.
The Ways of Logistics Cost Control in Food Industry Supply Chain
Venue: DEStech Transactions on Social Science, Education and Human Science
Year: 2019

This article starts from the food industry supply chain system and supply chain management's present situation, based on the analysis of existing research results on supply chain cost control at home and abroad, combined with domestic and international logistics cost composition analysis, and then from the perspective of China's food industry's points, investigates supply chain optimization strategy for supply and sales integrated food enterprise, which including the standardization of product design, facility location, inventory management, and the proposal of using information technology to realize information sharing and to support ultimate implementations of the scientific management decisions.
DESIGN OF WIRELESS NETWORK DETECTION SYSTEM FOR HIGH RISE BUILDINGS
Venue: International Journal of Advanced Research in Computer Science
Year: 2019

The research status of wireless monitoring system for structural durability of industrial high rise buildings is analysed. The factors affecting structural durability of industrial high rise buildings, such as natural environment and industrial production environment, are deeply researched. The monitoring parameters of wireless monitoring system for structural durability of industrial high rise buildings are determined. The design of the topology structure of the wireless monitoring network for structural durability of industrial buildings has been completed, and the design objectives of the topology control and power control of the wireless monitoring network for structural durability have been elaborated in depth. The system can realize visual analysis of durability data of industrial high rise buildings and storage management of cloud servers.
Surveillance epidemiological: parvovirus B19 genotype 1
Year: 2008

Human parvovirus B19 was identified and characterized in sample collected from a patient who was infected in Japan, and the symptoms as fever and rash appeared after arriving to Brazil. The occurrence of virus infection was confirmed by both assays: Elisa parvovirus B19 specific IgM antibody detection and polymerase chain reaction (PCR) A fragment of NS1 VP1 region was directly submitted to nucleotide sequencing. Partial phylogenetic analysis of B19 sequences, including several sequences available in GenBank, indicated that the isolated HPV B19 corresponded to genotype 1
Biosynthesis of nervonic acid and perspectives for its production by microalgae and other microorganisms
Venue: Applied Microbiology and Biotechnology
Year: 2018

Nervonic acid (NA) is a major very long chain monounsaturated fatty acid found in the white matter of mammalian brains, which plays a critical role in the treatment of psychotic disorders and neurological development. In the nature, NA has been synthesized by a handful plants, fungi, and microalgae. Although the metabolism of fatty acid has been studied for decades, the biosynthesis of NA has yet to be illustrated. Generally, the biosynthesis of NA is considered starting from oleic acid through fatty acid elongation, in which malonyl CoA and long chain acyl CoA are firstly condensed by a rate limiting enzyme 3 ketoacyl CoA synthase (KCS) Heterologous expression of kcs gene from high NA producing species in plants and yeast has led to synthesis of NA. Nevertheless, it has also been reported that desaturases in a few plants can catalyze very long chain saturated fatty acid into NA. This review highlights recent advances in the biosynthesis, the sources, and the biotechnological aspects of NA.