nils-herrmann/clean_scirepeval huggingface dataset:
Nanorqupisac has Chinchay: Natural and archeological tourism, Pacobamba district, Apurimac region, Peru
Year: 2021

The purpose of the research was to describe and illustrate the inventory and use of the NanorqupisachasChinchay eco tourist route. The research design was descriptive and illustrative. The population and sample are a geomorphological system. The eco tourist route NanorqupisachasChinchay, has a potential in species: 40 of flora, 10 of fauna, unique, own. The relief of the land has the shape of a horseshoe and a dry and humid montane climate due to the elevational floors. Accessibility in the Llaqtapata archaeological site is considerable, due to the regular condition and maintenance of the Inca trail, it has two accesses, in the longest, the landscape is appreciated and enjoyed, spotting various species. The archaeological site, offers five differentiated sectors, we find constructions of openings or portals, terraces, retaining walls and terraces, with main access staircase, housing a number greater than 100 in the form of ovoid construction, apircado with simple mortar technique, in addition to fullers, qollotas, pottery shards. Caves with human remains on the summits, wrapped with straw ropes in a fetal position. The archaeological site was an administrative control center for the exchange of products, in addition to metal smelting works. The areas to be made independent add up to 44.57 hectares from Llaqtapata and 35.40 hectares from Qoriwayrachina.
Clinical practice guidelines for the care of girls and women with Turner syndrome: proceedings from the 2016 Cincinnati International Turner Syndrome Meeting.
Venue: European journal of endocrinology
Year: 2017

Turner syndrome affects 25 50 per 100,000 females and can involve multiple organs through all stages of life, necessitating multidisciplinary approach to care. Previous guidelines have highlighted this, but numerous important advances have been noted recently. These advances cover all specialty fields involved in the care of girls and women with TS. This paper is based on an international effort that started with exploratory meetings in 2014 in both Europe and the USA, and culminated with a Consensus Meeting held in Cincinnati, Ohio, USA in July 2016. Prior to this meeting, five groups each addressed important areas in TS care: 1) diagnostic and genetic issues, 2) growth and development during childhood and adolescence, 3) congenital and acquired cardiovascular disease, 4) transition and adult care, and 5) other comorbidities and neurocognitive issues. These groups produced proposals for the present guidelines. Additionally, four pertinent questions were submitted for formal GRADE (Grading of Recommendations, Assessment, Development and Evaluation) evaluation with a separate systematic review of the literature. These four questions related to the efficacy and most optimal treatment of short stature, infertility, hypertension, and hormonal replacement therapy. The guidelines project was initiated by the European Society for Endocrinology and the Pediatric Endocrine Society, in collaboration with The European Society for Pediatric Endocrinology, The Endocrine Society, European Society of Human Reproduction and Embryology, The American Heart Association, The Society for Endocrinology, and the European Society of Cardiology. The guideline has been formally endorsed by the European Society for Endocrinology, the Pediatric Endocrine Society, the European Society for Pediatric Endocrinology, the European Society of Human Reproduction and Embryology and the Endocrine Society. Advocacy groups appointed representatives who participated in pre meeting discussions and in the consensus meeting.
An Archive Assignment in Women's Studies 101: Designing Hands on Learning in a Large Class
Year: 2020

In 2015, a librarian (Jessica Blackwell) and a course instructor (Trevor Holmes) collaborated to offer experiential opportunities in the archive itself for a large introductory Women's Studies class. Since then, students from six semesters of the course have worked with primary source materials from the library's collections. This chapter is a description of practice rather than a formal study. The authors describe design elements from the course, public products of the assignment, and reflections based on observations over time, offering several ways for librarians with access to archival material to co design assignments with instructors. In the assignment variations, students visit the archive to complete a short transcription or digitization task pre selected to benefit both the learners' research skills development and the wider research community. Final products go live online, benefiting the students and the global research community. Then, students link the experience to a course reading in a critically reflective paper. While initially the projects hold barriers for students, in formal and informal reflections they ultimately find it to be a rewarding learning experience. The authors contend that the assignment has significant elements of experiential learning and high impact practices.
Modified Virtual Air Guitar: A Concept Realized using Image Processing Techniques
Venue: EAI Endorsed Trans. Context aware Syst. Appl.
Year: 2014

Even amidst the hustle and bustle of busy lives, numerous people dream of playing a musical instrument. Unfortunately, many may never get a chance to touch one. But this doesn't stop them from 'air drumming' or playing 'air guitar' passionately while listening to their favorite tunes. To encourage this passion for music, especially in the absence of a real instrument, we introduce to you the Virtual Air Guitar. This application allows one to showcase their guitar skills, regardless of their knowledge of playing a real guitar. It uses color tracking to detect inputs and a sound module incorporating the Karplus Strong algorithm to generate musical notes as an output. As a result, a simple webcam and brightly colored gloves are required to use the application. This application has enormous potential as a base for interactive guitar games, teaching music, and of course, to compose guitar based songs.
Alchian on tenure: Some long awaited empirical evidence
Year: 2017

Armen Alchian made many important contributions to our understanding of organizations. One of the most important insights was related to organizations of higher education and the existence of tenure. However, the primary empirical predictions of his explanation for tenure have remained unexplored. This paper provides some empirical evidence on these predictions. Alchian's predictions receive strong support. The results indicate that tenure is significantly more likely to occur in nonprofit institutions than in for profit institutions, tenure is more common in public institutions than in private nonprofit institutions, and among private nonprofit institutions the incidence of tenure is positively related to the level of endowment support and negatively related to the institution's reliance on tuition and fees.
Celiac Disease and Non celiac Gluten Sensitivity
Year: 2019

Patients with celiac disease and non celiac gluten sensitivity have similar symptoms which improve on a gluten free diet. However, what we know about each condition differs greatly. In celiac disease, gluten triggers immune mediated intestinal inflammation. Serum tissue transglutaminase antibodies and duodenal biopsies are the principal diagnostic tests. Micronutrient deficiencies and consequences such as anemia and bone disease are common. The only treatment is a lifelong gluten free diet. In contrast, there are no known diagnostic tests for or complications of non celiac gluten sensitivity. Patients often start a gluten free diet on their own, making the celiac disease diagnosis more challenging.
Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation
Venue: ICWSM
Year: 2020

Consuming news from social media is becoming increasingly popular. However, social media also enables the widespread of fake news. Because of its detrimental effects brought by social media, fake news detection has attracted increasing attention. However, the performance of detecting fake news only from news content is generally limited as fake news pieces are written to mimic true news. In the real world, news pieces spread through propagation networks on social media. The news propagation networks usually involve multi levels. In this paper, we study the challenging problem of investigating and exploiting news hierarchical propagation network on social media for fake news detection. In an attempt to understand the correlations between news propagation networks and fake news, first, we build a hierarchical propagation network from macro level and micro level of fake news and true news; second, we perform a comparative analysis of the propagation network features of linguistic, structural and temporal perspectives between fake and real news, which demonstrates the potential of utilizing these features to detect fake news; third, we show the effectiveness of these propagation network features for fake news detection. We further validate the effectiveness of these features from feature important analysis. Altogether, this work presents a data driven view of hierarchical propagation network and fake news and paves the way towards a healthier online news ecosystem.
The Best of Both Worlds: A General Architecture for Data Management in Blockchain enabled Internet of Things
Venue: IEEE Network
Year: 2020

The rapid proliferation of Internet of Things (IoT) devices has brought great challenges of data management, i.e. storing, retrieving and manipulating a large volume of IoT data. Conventional IoT systems rely on centralized architectures to manage IoT data, hence suffering from limited scalability, lack of transparency, and single point of failure issues. As such, we employ blockchain as a distributed ledger to support the decentralized approach of data management in IoT systems, where IoT data are stored in the deployed blockchain for further utilization, e.g. retrieve and audit. A general architecture combining blockchain and IoT systems is presented. Nevertheless, as the resource constraints of IoT devices may still exist during the process of data transmissions from IoT devices to the blockchain network, we propose a case study of a learning assisted resource allocation method to support intelligent data management. The numerical results show that the proposed scheme achieves superior performance compared with baseline solutions.
The European Vasculitis Society 2016 Meeting Report
Venue: Kidney international reports
Year: 2017

The 2016 European Vasculitis Society (EUVAS) meeting, held in Leiden, the Netherlands, was centered around phenotypic subtyping in antineutrophil cytoplasmic antibody (ANCA) associated vasculitis (AAV) There were parallel meetings of the EUVAS petals, which here report on disease assessment; database; and long term follow up, registries, genetics, histology, biomarker studies, and clinical trials. Studies currently conducted will improve our ability to discriminate between different forms of vasculitis. In a project that involves the 10 year follow up of AAV patients, we are working on retrieving data on patient and renal survival, relapse rate, the cumulative incidence of malignancies, and comorbidities. Across Europe, several vasculitis registries were developed covering over 10,000 registered patients. In the near future, these registries will facilitate clinical research in AAV on a scale hitherto unknown. Current studies on the genetic background of AAV will explore the potential prognostic significance of genetic markers and further refine genetic associations with distinct disease subsets. The histopathological classification of ANCA associated glomerulonephritis is currently evaluated in light of data coming out of a large international validation study. In our continuous search for biomarkers to predict clinical outcome, promising new markers are important subjects of current research. Over the last 2 decades, a host of clinical trials have provided evidence for refinement of therapeutic regimens. We give an overview of clinical trials currently under development, and consider refractory vasculitis in detail. The goal of EUVAS is to stimulate ongoing research in clinical, serological, and histological management and techniques for patients with systemic vasculitis, with an outlook on the applicability for clinical trials.
117 Impact of Antipsychotic Treatment Switching in Patients with Schizophrenia, Bipolar Disorder, and Major Depressive Disorder
Venue: CNS Spectrums
Year: 2020

To evaluate the risk of relapse for patients with schizophrenia (SZ) bipolar disorder (BP) and major depressive disorder (MDD) who switched antipsychotics compared with those who did not switch.  Antipsychotics are commonly used for maintenance treatment of SZ, BP, and MDD but can have significant side effects, such as extrapyramidal symptoms (EPS) Adherence to treatment is important for reducing the risk of relapse, but fear of side effects may prompt medication switching.  Medicaid claims from 6 US states spanning 6 years were retrospectively analyzed for antipsychotic switching versus non switching. For all patients with SZ, BD or MDD and for the subset of patients who also had =1 EPS diagnosis during the baseline period, times to the following outcomes, during a 2 year study period were analyzed: underlying disease relapse, psychiatric relapse, all cause emergency room (ER) visit, all cause inpatient (IP) admission and EPS diagnosis.  Switchers (N=10,548) had a shorter time to disease relapse, other psychiatric relapse, IP admissions, ER visits, and EPS diagnosis (all, log rank P<0.001) than non switchers (N=31,644) Switchers reached the median for IP admission (21.50 months) vs non switchers (not reached) and for ER visits (switchers, 9.07 months; non switchers, 13.35 months) For disease relapse, other psychiatric relapse, and EPS diagnosis, <50% of patients had an event during the 2 year study period. Comparisons in a subgroup of patients with =1 EPS diagnosis revealed similar outcomes.  These results show that disease and other psychiatric relapse, all cause ER visits, IP admissions, and EPS diagnosis occurred earlier for switchers than for non switchers, suggesting that switching is associated with an increased risk of relapse in patients with SZ, BP and MDD.  This study was supported by Teva Pharmaceuticals, Petach Tikva,
Blockchain based mobile edge computing system
Venue: Inf. Sci.
Year: 2021

With the development of the Internet of Things (IoT) the number of mobile terminal devices is increasing rapidly. Due to high transmission delay and bandwidth limitation, computing power requirements for IoT devices are getting higher and higher. Recently, edge computing is an effective way to reduce system delay, and blockchain solves the security problem of edge computing. In this paper, a three layer network model, named blockchain based mobile edge computing system (BMEC) is proposed for clone block identification. Specifically, a neural network based clone block identification (NCBI) method is proposed to prevent clone block attacks. After that, the Prim algorithm is applied to BMEC to generate a weighted undirected graph minimum spanning tree that is composed of edge blocks. This can divide a main chain into several side chains to improve the transaction speed of blockchain. Finally, the blockchain is constructed based on the time slicing round robin scheduling algorithm to control resources from edge servers and regulate edge devices' activities based on the predefined rules of priority, application type, and past behavior. Experimental results show that our clone block identification method can achieve block validation effectively in BMEC, and our construction of blockchain delay is lower than conventional edge computing methods.
Black, white or grey magic? Our future with artificial intelligence
Year: 2020

Are new technologies driving us towards dystopia or utopia or something in between? Marketers not only have a stake in finding out the answer to this question but also a direct (and indirect) influence on determining the answer. This commentary discusses recent developments in artificial intelligence (AI) and robotics, and how these are influencing marketers, consumers and society by either leading to a dystopian (black magic) utopian (white magic) or 'dualopian' future (grey magic) We argue that the net effect is squarely in the grey and that marketers have a unique power to leverage AI and robotics developments for good. The commentary concludes with 24 research questions forming an agenda for future research under three streams: marketing power, understanding the bias and ethics revisited.
Hybrid, Frame and Event based Visual Inertial Odometry for Robust, Autonomous Navigation of Quadrotors
Venue: ArXiv
Year: 2017

Event cameras are bio inspired vision sensors that output pixel level brightness changes instead of standard intensity frames. These cameras do not suffer from motion blur and have a very high dynamic range, which enables them to provide reliable visual information during high speed motions or in scenes characterized by high dynamic range. However, event cameras output only little information when the amount of motion is limited, such as in the case of almost still motion. Conversely, standard cameras provide instant and rich information about the environment most of the time (in low speed and good lighting scenarios) but they fail severely in case of fast motions, or difficult lighting such as high dynamic range or low light scenes. In this paper, we present the first state estimation pipeline that leverages the complementary advantages of these two sensors by fusing in a tightly coupled manner events, standard frames, and inertial measurements. We show on the publicly available Event Camera Dataset that our hybrid pipeline leads to an accuracy improvement of 130% over event only pipelines, and 85% over standard frames only visual inertial systems, while still being computationally tractable. Furthermore, we use our pipeline to demonstrate to the best of our knowledge the first autonomous quadrotor flight using an event camera for state estimation, unlocking flight scenarios that were not reachable with traditional visual inertial odometry, such as low light environments and high dynamic range scenes.
A time series based aggregation scheme for topic detection in Weibo short texts
Year: 2019

Discovering hot topics within social network like Twitter and Weibo, has received much attention in recent years. While topic models such as Latent Dirichlet Allocation (LDA) have been successfully applied in topic discovery, they are often less coherent when applied to microblog content which is known as "posts" In this paper, we propose a time series based aggregation scheme for topic modeling in Weibo. As Weibo topics are coherent within a time slice, we divide Weibo dataset into groups by time slice. With this scheme, posts in every group are aggregated into several longer pseudo documents using paragraph vector based similarity algorithms. While applying this scheme to LDA model, we dramatically decrease the topic model perplexity and increase the clustering quality, which also allows for better discovery of underlying topics in Weibo. Furthermore, we can let other topic models extended on LDA be directly used on such short texts.
Fried food intake and risk of nonfatal acute myocardial infarction in the Costa Rica Heart Study
Venue: PloS one
Year: 2018

Economic development in middle income countries has led to a noticeable rise in the availability of commercial deep fried foods and lifestyles that require eating meals "on the go" and outside of the home. Yet, data from these countries where fried foods were traditionally prepared at home are scarce, despite several studies showing the potential adverse effects of fried food consumption on risk for heart disease. We aimed to examine whether consumption of fried foods inside or outside of the home is associated with an increased risk of myocardial infarction (MI) among Hispanic/Latinos living in Costa Rica. Participants were incident cases of a first acute MI (n 2,154) and randomly selected controls matched for age, sex, and residence (n 2,154) After adjustment for traditional cardiovascular risk factors, including history of diabetes, history of hypertension, smoking, abdominal obesity, income, educational years, occupation, alcohol intake, dietary intakes of saturated fatty acid, fiber intake, and total energy intake, the multivariable adjusted odds ratio (OR, 95% CI) for risk of MI were 1.00 (reference) 1.02 (0.86 1.21) 1.26 (0.81 1.95) and 1.58 (1.08 2.30) for intake of fried foods outside of the home <1/week, 1 3/week, 4 6/week, and 1/day, respectively (P trend 0.02) and 1.00, 0.81 (0.65 1.00) 0.81 (0.61 1.09) and 0.93 (0.72 1.19) respectively (P for trend 0.65) for intake of fried foods inside the home. The data suggest that consumption of fried foods outside of the home, a practice that has been associated with economic development, could have adverse effects on cardiovascular disease.
Chinese outbound tourism and soft power
Year: 2020

A boom in Chinese outbound tourism representing a much welcome boost to the economy of other countries has drawn global attention. Drawing upon the concept of soft power, this study explores how China use outbound tourism as an exercise of soft power, what achievements are related to this, and looks at the challenge and dilemmas that are related to this issue. It is found that tourism based soft power is being built both through government policies, which include approved destination status, tourism culture activities, tourism foreign aid and tourism cooperation as well as interactions amongst the tourists and hosts in addition to businesses. This study argues that the outcomes depend mainly on its economic power, agenda setting, and somewhere between hard and soft power, rather than upon the country's attraction. It also establishes that soft power building through Chinese outbound tourism may be more effective in the Southeast Asian, Asia Pacific, African and South American countries than in Western countries due to closer economic relationships, cultural similarities and shared beliefs.
Preface to Topical Issue: Waves in the Solar Corona: From Microphysics to Macrophysics
Year: 2016

Wave and oscillatory processes in the plasma of the solar corona attract growing attention in the context of key challenges in solar physics. For several decades, waves have been considered as one of the mechanisms for coronal plasma heating (e.g. De Moortel and Browning, 2015) and solar wind acceleration (e.g. Cranmer, 2012) Coronal waves are intensely used for plasma diagnostics, from radio emission to large scale magnetohydrodynamic (MHD) timescales (see, e.g. Nakariakov, Kashapova, and Yan, 2014; Liu and Ofman, 2014) The waves are natural agents that can establish the connectivity of different layers of the solar atmosphere (Komm et al. 2015) Interesting perspectives have recently been identified for the deep exploitation of the coronal magnetospheric analogy (Nakariakov et al. 2016) This shows that the study of solar coronal waves and oscillations is an active and rapidly developing research topic. This Topical Issue addresses the recent achievements in the field, and contains two invited review papers and eighteen original papers, covering new interesting observational and theoretical results. The invited review of Van Doorsselaere, Kupriyanova, and Yuan (2016) discusses the recent progress in the observational detection and modelling of quasi periodic pulsations