nils-herrmann/clean_scirepeval huggingface dataset:
The Impact of Financial Stress on Iran per Capita GDP over the Period 2000(3) 2011(1)
Year: 2014

Stress in financial markets influences economic agents' behavior by creating uncertainty and changing the expectations. Critical financial stress can lead to financial crisis. Financial crises are among the events always present in the world economy. Iran is not an exception. This paper aims to study the impact of financial stresses on Iran's per capita GDP. By using ARDL (Auto Regressive Distributed Lags) the effects of financial stress indices, including foreign currency, stock, and banking markets on Iran's GDP per capita is estimated. Our findings show that financial stresses in currency market and stock market have positive and negative effects on economic growth respectively. Banking stresses have a positive influence on economic growth. The cumulative impact of financial stresses is positive on Iran's economy, but is different from the effect of banking stresses with respect to intensity.
Gamma rays from anisotropic IC e^\pm} pair cascades in microquasars: Application to Cyg X 3
Year: 2011

Microquasars have been expected to emit high energy gamma rays due to their general similarities to the gamma ray emitting blazars (evidences of relativistic jets, non thermal radio to X ray emission) In fact, the first source of this type, Cyg X 3, has been recently unambiguously discovered by the satellite telescopes. We study the features of the gamma ray radiation produced in these sources by relativistic electrons, accelerated in the inner part of the jet. The electrons initiate an Inverse Compton e^\pm pair cascade in the radiation field of the accretion disk. Due to the anisotropy of the accretion disk radiation field, the spectra of gamma rays show strong dependence on the observation angle, the location of the emission region within the jet and the details of the acceleration process. As an example, we confront our model with the observations of the microquasar Cyg X 3, which has been recently reported as a transient GeV gamma ray source by the Agile and the Fermi Observatories. Satisfactory description of the gamma ray spectra observed from Cyg X 3 are obtained in the case of the injection of electrons in the inner part of the jet (located within 300 inner disk radius from the jet base) provided that the observer is located at relatively small angle to the jet axis.
Test Spark Installation on Linux Clusters
Year: 2018

Apache Spark is an open source big data analytic framework on clusters. It runs on top of Hadoop distributed clusters but faster using in memory processing. Very often it seems run normally even Hadoop runs abnormally. This paper describes that after install Spark 1.4.0 over Hadoop 2.7.0, how to test both Hadoop and Spark on CentOS 7.0 Linux clusters. Keywords spark cluster; big data; cloud computing
Concrete Recommendations for Cutting Through Misinformation During the COVID 19 Pandemic.
Venue: American journal of public health
Year: 2020

Unlike political disinformation, or fake news, health misinformation can quickly lead to changes in behaviors, which is why health communicators can't wait for tech companies to solve the problem 2 For example, research on antivaccination movements shows how celebrities, activists, and discredited physicians gain influence over vaccination policies, while also promoting quackery, misinformation, and conspiracies on social media 3 Although it is difficult to know who has been affected by health misinformation, best strategies to counter it focus on addressing "silent audiences" with direct, careful, and succinct messaging 4 Search engines and social media platforms are struggling to control the groundswell of new attention to COVID 19 and are having difficulty matching the right information to the right person at the right time Public health and health care organizations with already established and functioning Web sites should not register new domains because it is difficult to gain traction within search engines and social media Local television news remains a reliable way to inform many people quickly and locally 5 Local governments and health agencies should set up text messaging systems and SMS (short message service) push notifications, where possible, to reach people outside social media
Methods for assessing the effects of spatial luminance patterns on perceived qualities of concert lighting
Venue: Lighting Research Technology
Year: 2019

This paper presents experimental approaches for evaluating concert lighting from the viewpoints of audience members and performers in Cambridge King's College Chapel. We develop image zoning and abstraction techniques to quantify and interpret photometric data acquired under four different electric lighting conditions. Assessed by 78 participants, these lighting scenarios are compared across six different viewing positions using a set of structured questionnaires. Ordered logistic regression modelling shows that the ratios and functions describing uniformity, brightness and light patterns are common explanatory variables for predicting perceived visual clarity, visual uniformity, brightness and spatial intimacy. Uniformity related attributes are observed to be among the strongest variables for all these perceived qualities, except for visual clarity, which is better explained by acuity related measures. These experimental results confirm the applicability of our approaches, highlighting the importance of combining multiple methods and integrating complex architectural situations into the process of understanding luminous appearance.
Systems Monitoring and Big Data Analysis Using the Elasticsearch System
Venue: 2019 22nd International Conference on Control Systems and Computer Science (CSCS)
Year: 2019

Modern applications produce large quantities of data in the form of logs and events in order to facilitate quick failure diagnosis and mitigation. Special Big Data database systems like Elasticsearch are needed to store and manage these logs. Through such a system, the data is used to query different events and trace down issues that appear in the application. To further improve the efficiency of failure discovery and prevention, the query mechanisms can be extended with Machine Learning techniques to observe anomalies in the infrastructure and automatically alert the managers or administrators. This research project is tracking the development of a scalable Elasticsearch monitoring system. In later stages, the focus will fall on enhancing the system's detection functionality by applying Machine Learning jobs on the stored data.
Examining Faculty to Student Consensual Sexual Relationship Policies on Campus: Have There Been Changes in the Era of #MeToo.
Venue: Journal of interpersonal violence
Year: 2020

Although Title IX prohibits sex based discrimination, including sexual harassment in institutions of higher education (IHEs) in the era of #MeToo, consensual faculty student relationships have elicited significant attention. While some IHEs have developed consensual sexual relationship policies (CSRPs) little research to date has examined the content of such policies or whether IHEs have changed their policies as societal awareness regarding sexual harassment has increased. This study examined a stratified sample of IHEs, including state flagship, regional, and Ivy League schools (n 56) to compare the type of CSRPs in 2011 and 2018 as well as changes in the content of such policies over the 7 year study period. Findings suggested that IHEs are becoming more restrictive in their CSRPs with movement toward limited bans and prohibitions; most policies discuss power differentials, include reporting requirements, and identify the use of sanctions for policy violations. Innovations in CSRPs include nuanced discussions of consent, placing the burden of proof on faculty to prove consent in allegations of sexual harassment, and including graduate students in CSRPs. Implications inform the debate regarding policies and procedures on campus sexual misconduct and advance the literature on evolving responses.
Management of traumatic neuralgia in a patient with the extracted teeth and alveoloplasty: a case report
Venue: Journal of dental anesthesia and pain medicine
Year: 2015

A majority of patients who sustain injuries to the peripheral sensory nerves of the face and jaws experience a slow but gradual return of sensation that is functional and tolerable, if not the same as before the injuries. However, long term effects of such injuries are aggravating for many patients, and a few patients experience significant suffering. In some of these patients, posttraumatic symptoms become pathological and are painful. The predominant painful components are (1) numbing anesthesia dolorosa pain, (2) triggered neuralgiaform pain, (3) burning and aching causalgiaform pain, and (4) phantom pain. This is a case report of conservative management of traumatic neuralgia and neuritis as part of posttraumatic pain syndromes in geriatric patients who have undergone the teeth extraction and alveoloplasty.
Siting solar energy development to minimize biological impacts
Year: 2013

After solar and other renewable energy developers select generally suitable sites for exploration, they frequently encounter conflict over biodiversity conservation values that were not factored into the initial suitability rating methods. This paper presents a spatial multicriteria analysis method for modeling risk of conflict with biological resources and applies the model in the California deserts where such conflicts are rapidly rising. The premise of the model is that the least conflict will occur on sites that are the most ecologically degraded with low conservation value and that would engender low off site impacts when connecting to existing transmission infrastructure. Model results suggest sufficient compatible land exists in flat, non urban areas to meet state solar energy targets of 8.7 GW of installed capacity in the California deserts for 2040. The model is a promising tool to fill the gap between site suitability analysis for renewable energy and regional biodiversity conservation planning to identify areas where rapid impact assessment and permitting will generate the least regrets.
Big Data Analysis and Mining
Year: 2018

Advancements in the field of information science and technology enables users to collect or generate high volumes of valuable data of different levels of veracities such as streams of banking, financial, and shopper market basket data at high velocities from wide varieties of data source in various reallife business, engineering, scientific applications in modern organizations and society. Embedded in these big data (Madden, 2012; Leung, 2015) is implicit, previously unknown, and potentially useful information and knowledge. However, these big data come with volumes beyond the ability of commonly used software to capture, manage, and process within a tolerable elapsed time. Hence, new forms of information science and technology such as big data analysis and mining are needed to process and analyze these big data so to as enable enhanced decision making, insight, knowledge discovery, and process optimization. Over the past few years, algorithms have been proposed for various big data analysis and mining tasks, including clustering (which groups similar data together) classification (which categorizes groups of similar data) outlier detection (which identifies anomalies) and frequent pattern mining (which discovers interesting knowledge in the forms of frequently occurring sets of merchandise items or events) Most of these algorithms use the MapReduce model which mines the search space with distributed or parallel computing (Shim, 2012) Among different big data analysis and mining tasks, this chapter focuses on applying the MapReduce model to big data for the discovery of frequent patterns.
A dual role for the anti apoptotic Bcl 2 protein in cancer: mitochondria versus endoplasmic reticulum.
Venue: Biochimica et biophysica acta
Year: 2014

Anti apoptotic Bcl 2 contributes to cancer formation and progression by promoting the survival of altered cells. Hence, it is a prime target for novel specific anti cancer therapeutics. In addition to its canonical anti apoptotic role, Bcl 2 has an inhibitory effect on cell cycle progression. Bcl 2 acts at two different intracellular compartments, the mitochondria and the endoplasmic reticulum (ER) At the mitochondria, Bcl 2 via its hydrophobic cleft scaffolds the Bcl 2 homology (BH) domain 3 (BH3) of pro apoptotic Bcl 2 family members. Small molecules (like BH3 mimetics) can disrupt this interaction, resulting in apoptotic cell death in cancer cells. At the ER, Bcl 2 modulates Ca(2+ signaling, thereby promoting proliferation while increasing resistance to apoptosis. Bcl 2 at the ER acts via its N terminal BH4 domain, which directly binds and inhibits the inositol 1,4,5 trisphosphate receptor (IP3R) the main intracellular Ca(2+ release channel. Tools targeting the BH4 domain of Bcl 2 reverse Bcl 2's inhibitory action on IP3Rs and trigger pro apoptotic Ca(2+ signaling in cancer B cells, including chronic lymphocytic leukemia (CLL) cells and diffuse large B cell lymphoma (DLBCL) cells. The sensitivity of DLBCL cells to BH4 domain targeting tools strongly correlated with the expression levels of the IP3R2 channel, the IP3R isoform with the highest affinity for IP3. Interestingly, bio informatic analysis of a database of primary CLL patient cells also revealed a transcriptional upregulation of IP3R2. Finally, this review proposes a model, in which cancer cell survival depends on Bcl 2 at the mitochondria and/or the ER. This dependence likely will have an impact on their responses to BH3 mimetic drugs and BH4 domain targeting tools. This article is part of a Special Issue entitled: Calcium signaling in health and disease. Guest Editors: Geert Bultynck, Jacques Haiech, Claus W. Heizmann, Joachim Krebs, and Marc Moreau.
A novel spherical fuzzy QFD method and its application to the linear delta robot technology development
Venue: Eng. Appl. Artif. Intell.
Year: 2020

Extensions of ordinary fuzzy sets have been put forward one after the other in the literature. The latest extension is spherical fuzzy sets theory proposed by Kutlu Gundogdu and Kahraman (2019a) which is based on three independent membership parameters defined on a unit sphere with a constraint related to their squared summation. This new extension presenting larger domains for each parameter is employed for production design in this paper. Quality Function Deployment (QFD) is a structured approach for defining customer needs or requirements, which translates them into the final product in order to satisfy these needs. Spherical fuzzy QFD (SF QFD) under impreciness and vagueness involving linguistic evaluations rather than exact numerical values is proposed in this paper. The importance ratings and global weights of customer requirements (CR) and improvement directions of design requirements (DR) are successfully represented by using spherical fuzzy sets. Judgments of multi customers/experts are aggregated by spherical fuzzy aggregation operators. A comparative analysis using SF TOPSIS is applied for competitive firms. A linear delta robot technology design and evaluation is performed by the proposed SF QFD and a competitive analysis is presented.
Weakly supervised classification of aortic valve malformations using unlabeled cardiac MRI sequences
Venue: Nature Communications
Year: 2019

Biomedical repositories such as the UK Biobank provide increasing access to prospectively collected cardiac imaging, however these data are unlabeled, which creates barriers to their use in supervised machine learning. We develop a weakly supervised deep learning model for classification of aortic valve malformations using up to 4,000 unlabeled cardiac MRI sequences. Instead of requiring highly curated training data, weak supervision relies on noisy heuristics defined by domain experts to programmatically generate large scale, imperfect training labels. For aortic valve classification, models trained with imperfect labels substantially outperform a supervised model trained on hand labeled MRIs. In an orthogonal validation experiment using health outcomes data, our model identifies individuals with a 1.8 fold increase in risk of a major adverse cardiac event. This work formalizes a deep learning baseline for aortic valve classification and outlines a general strategy for using weak supervision to train machine learning models using unlabeled medical images at scale.The availability of labelled training data is one of the practical obstacles towards wide application of machine learning models in medicine. Here the authors develop a weakly supervised deep learning model for the classification of aortic malformations using unlabelled cardiac MRI sequences from the UK biobank.
LCD Display seolbi Contentsyi Kinectgiban dongjagjeeo gisul guhyeone gwanhan yeongu
Year: 2014

Recently, various kinds of new computer controlled devices have been introduced in a wide range of areas, and convenient user interfaces for controlling the devices are strongly needed. To implement natural user interfaces(NUIs) on top of the devices, new technologies like a touch screen, Wii Remote, wearable interfaces, and Microsoft Kinect were presented. This paper presents a natural and intuitive gesture based model for controlling contents of LCD display. Microsoft Kinect sensor and its SDK are used to recognize human gestures, and the gestures are interpreted into corresponding commands to be executed. A command dispatch model is also proposed in order to handle the commands more naturally. I expect the proposed interface can be used in various fields, including display contents control.
The Impact of the Global Financial Crisis on Asia Pacific Real Estate Markets: Evidence from Korea, Japan, Australia and U.S. REITs
Year: 2009

This paper analyzes the impact of the U.S. real estate market collapse on the Asia Pacific real estate markets, by examining the Korea, Japan, Australia, and U.S. REITs indexes during the sample period of January 2004 June 2009 with two sub samples of before crisis and after crisis. The findings indicate that linkages between the U.S. and Australia REIT sectors was strong during January 2004 June 2009. In the case of linkages between the U.S. and Korean REIT sectors, co movements have become significant only after the breakout of global financial crisis. The Japanese REIT sector shows a weak relationship with the U.S. REIT sector. In addition, this paper shows a weak co integration among Asia Pacific REIT sectors. A REITs, K CR REITs, J REITs show different magnitudes of contagion effects. This finding can be explained by characteristics of REITs, structure offinancing, and country's economic situation.
L'Intelligence Economique et la Strategie d'Entreprise
Year: 2013

Suite a la mondialisation economique et la globalisation financiere, les enjeux economiques sont devenus tres importants aussi bien pour les entreprises publiques que privees. De ce fait, il ne suffit plus d'avoir un bon produit, un marketing bien cible, un commercial agressif ou un patron <charismatique> pour disposer d'un avantage concurrentiel durable. Par consequence, les managers prennent conscience de l'interet de l'analyse des flux informationnels tant sur le plan national que sur le plan international. Neanmoins, la recherche de l'information occasionnelle ne suffit plus, il est devenu necessaire de surveiller, d'analyser et d'anticiper l'environnement economique pour en tirer profit avant tous les concurrents possibles. Dans cette demarche, connue sous le nom Intelligence Economique (IE) l'entreprise recours a des techniques de management avance qui touche plusieurs dimensions (scientifiques, technologiques, sociales, etc. pour mieux apprehender l'environnement et mieux anticiper les risques. Ce livre s'inscrit dans le cadre de cette reflexion strategique qu'est l'IE en tant pratique devenue indispensable pour survivre, confronter la concurrence, voire se developper.
Life history Traits of the Threatened Freshwater Fish Cirrhinus reba (Hamilton 1822) (Cypriniformes: Cyprinidae) in the Ganges River, Northwestern Bangladesh (Ciri Sejarah Kehidupan Ikan Air Tawar Terancam Cirrhinus reba (Hamilton 1822) (Cypriniformes: Cyprinidae) di Sungai Ganges, Barat Laut Bangla
Year: 2013

The threatened Reba carp, Cirrhinus reba is a freshwater fish species found in ponds, rivers, canals and tanks of Bangladesh, India, Myanmar, Nepal and Pakistan. The present study describes the first complete and inclusive description of life history traits including sex ratio, length frequency distributions (LFD) length weight relationships (LWR) condition factors (Allometric, K A Fulton's, K F Relative condition, K R Relative weight, W R form factor (a 3.0 and size at first sexual maturity of C. reba in the Ganges River, NW Bangladesh. Sampling was done using traditional fishing gears including cast net, square lift net and conical trap from April 2011 to March 2012. The total length TL) fork length (FL) and standard length (SL) were measured to the nearest 0.01 cm using digital slide calipers and total body weight (BW) was measured using an electronic balance with 0.01 g accuracy. The LWR was calculated using the expression: W= a L b where W is the BW, L the TL. The size at first sexual maturity of C. reba was estimated using the empirical equation by Binohlan and Froese (2009) for male and female, separately. A total of 250 specimens ranging from 8.00 cm 23.40 cm TL and 4.30 g 200 g BW were analyzed in this study. The overall sex ratio did not differ significantly from the expected value of 1:1 kh 2 3.38, p 3.00) in male and female and there was significant differences in the intercepts ancova, p< 0.001) and in the slopes (ancova, p< 0.001) between the sexes. In addition, the Mann Whitney U test showed significant differences in the Fulton's condition factor between male and female (p< 0.001) The one sample t test showed that the mean W R (actual mean 99.50) did not differ from 100 for male (p= 0.523) and female (p= 0.197) in this study, indicating the habitat was still in good condition for C. reba. Moreover, the size at sexual maturity of male and female C. reba were estimated as 11.50 cm TL and 13.50 cm TL, respectively. The results of this study would be useful for the sustainable conservation of this threatened carp fishery in Bangladesh and also neighboring countries.