nils-herrmann/clean_scirepeval huggingface dataset:
'Passivity' A Model of Grocery Retail Price Decision making Practice
Year: 2015

This paper aims to explore the applied context of grocery retail pricing practice to understand how pricing executives approach "regular price" decision making (as opposed to promotional pricing) The study seeks to inductively develop a model of regular price decision making in grocery retailing.  The research uses an inductive methodology involving interviews with pricing executives working for grocery retailers that account for approximately 85 per cent of the UK, and 64 per cent of USA, grocery market retail sales. The approach is appropriate given the underdeveloped research insights into regular pricing within food retailers.  It is found that regular pricing is undertaken with little sophistication, typically, on the basis of simple, inflexible rules that result in conflicting goals. A typology of three pricing roles was identified, although all share an underdeveloped understanding of the effects of price changes on customer demand and the implicati.
UNDERSTANDING MULTICULTURAL COMMUNICATION AND COOPERATION THROUGH MULTICULTURAL DOBROGEA
Year: 2013

An ethnic mosaic this is the way Dobrogea has been described at the beginning of the XXth century. Together with the Romanian people, in Romania live other ethnic groups, each with its specific tradition, culture and religion. This article highlights the uniqueness of multicultural phenomenon, demonstrating the possibility of harmonious intercultural cohabitation as a model that can provide an algorithm for the interpretation of intercultural communication and cooperation. The psychological, sociological and historical interpretation provides an overview of the phenomenon addressed. At European level we search for solutions to improve multicultural environment. It is necessary that solutions be found just inside the European multicultural space and adapted to each scenario individually.
Mersin (Myrtuscommunis L. Mevyesinin Fiziksel, Mekanik, Renk ve Kimyasal Ozellikleri
Year: 2020

Bu calismada, beyaz ve siyah mersin Myrtuscommunis L. meyvelerinin bazi biyoteknik (fiziksel, mekanik ve kimyasal) ozellikleri incelenmistir. Calismada beyaz ve siyah mersin meyvelerinin fiziksel ozellikleri (geometrik, hacimsel ve renk karakteristikleri olarak geometrik ortalama cap, kuresellik, yuzey alani, agirlik, hacim, meyve ve yigin hacim agirligi) L, a, b, Kroma, Hue acisi ve kahverengilesme derecesi renk karakteristikleri) olculmustur. Mekanik ozellikler olarak meyvelerin saptan kopma direnci, delme ve sikistirma kuvveti, deformasyon degerleri, ile kimyasal ozellikler ise pH, suda cozunebilir kuru madde miktari (SCKM) ve titre edilebilir asitlik (TEA) miktari incelenmistir. Beyaz ve siyah mersin meyvelerinin sikistirma ve delme testlerinde 20, 40 ve 60 mm min 1 hizlarinda elde edilen sikistirma ve delme kuvveti degerleri yukleme hizinin artmasiyla birlikteartis gostermistir. Beyaz mersin meyvelerinin sirasiyla SCKM %13.63) ve TEA (0.510) degerleri, siyah mersin meyveleri degerlerinden sirasiyla %5.33 ve 0.205) daha yuksek belirlenmistir. pH d egeri, siyah mersin meyvelerinde (5.30) beyaz mersin meyvelerinden (4.48) daha yuksek bulunmustur. Beyaz ve siyah mersin meyvelerinin biyoteknik ozelliklerine ait sonuclarin, hasat ve hasat sonrasi urun isleme, urun kalitesi, tuketici istekleri ve ekonomik deger acisindan goz onunde bulundurulmasi gerekmektedir.
Introduction to Environmental Microbiology
Year: 2015

This chapter provides an introduction to environmental microbiology as a discipline. It also illustrates the significance of environmental microbes to our daily lives in terms of not only the overall health of the planet, but also: what infects us; what heals us; what we drink; what we eat; and what we breathe. Following this, a discussion of emerging microbial issues is presented, including detrimental microbial pathogenic outbreaks as well as beneficial microbial bioremediation success stories. Finally are presented some of the latest and most advanced techniques and methodologies that are revolutionizing modern environmental microbiology through state of the art science.
Proceedings of the Fourth PRC US Workshop on Seismic Analysis and Design of Special Bridges: Advancing Bridge Technologies in Research, Design, Construction and Preservation
Year: 2006

The major bridge engineering always consists of one or two long span and both approach spans. In this paper, some new ideas for seismic design of the major bridge engineering are presented. And life cycle requirements, performance requirements and corresponding to checking criteria of bridge are discussed. Li Chu Fan, State Key Laboratory for Disaster Reduction in Civil Engineering, Tongji University, Shanghai 200092, PRC Jian zhong Li, State Key Laboratory for Disaster Reduction in Civil Engineering, Tongji University, Shanghai 200092, PRC Shi de Hu, State Key Laboratory for Disaster Reduction in Civil Engineering, Tongji University, Shanghai 200092, PRC Ai jun Ye, State Key Laboratory for Disaster Reduction in Civil Engineering, Tongji University, Shanghai 200092, PRC
Sentiment Analysis in Financial News
Year: 2015

With the growth of social media, millions of financial news flow every day through the Web. This makes monitoring and interpreting what is happening in the financial world an extremely difficult task. Moreover, as Liu and Zhang (2012) pointed out, it is also known that human analysis of text information is subject to considerable biases. Therefore, a system for automatic detection of sentiment is extremely useful. This was the main motivation behind this work. We have decided to develop a system that can analyse news in the financial domain. As textual data can be very noisy, text pre processing techniques were applied to the news articles (e.g. stopwords removal, stemming) Afterwards, the news were classified as positive, negative or neutral, and a series of studies were carried out to improve the classification results. The method exploited several publicly available lexicons Opinion Lexicon, OpinionFinder, SentiWordNet, AFINN and NRC. Moreover, we have merged some of these lexicons to see if the results could be improved. Besides, a negation handling technique developed by Pang et al. (2002) was also applied. Additionally, some words mainly from the financial world were added to the available lexicons. We have thus obtained enriched lexicons. All experiments were evaluated using usual performance evaluation measures (e.g. Micro F1 However, as sentiment classification can be seen as a problem of classifying ordinal data, an evaluation using cost sensitive analysis was carried out. That is, different costs were applied to different types of error. We have obtained several interesting results. We have identified combinations of
Nicin STEM Egitimi? Ortaokul 5. Sinif Ogrencilerinin STEM Alanlarindaki Kariyer Tercihlerinin Incelenmesi
Year: 2018

STEM egitiminin uzun vadeli amaclarindan biri, ogrencilerin STEM alanlarinda kariyer sahibi olabilmeleridir. Okullarimizdaki mevcut durumun betimlenmesi acisindan, ogrencilerin STEM meslekleri ile ilgili dusuncelerinin ele alinmasi gerekmektedir. Bu arastirmada ortaokul 5. sinif ogrencilerinin STEM alanlarindaki mesleklerle ilgili tercihlerinin ve bunlarin nedenlerinin incelenmesi amaclanmistir. Tarama modelindeki arastirmada 2015 2016 egitim ogretim yilinda Istanbul'daki bir ortaokulda ogrenim goren 56 kiz, 51 erkek toplamda 107 ogrenciye acik uclu sorular yoneltilmis ve bunlari yazili olarak cevaplandirmalari istenmistir. "Gelecekte fen (teknoloji, muhendislik, matematik) alaninda meslek sahibi olmak ister misiniz? Nicin?" sorularina verdikleri cevaplar betimsel olarak analiz edilmistir. Fen ve matematik alanindaki mesleklerle ilgili bulgular, kiz ve erkek ogrencilerin cogunun bu alanlardaki meslekleri istediklerini gostermistir. Teknoloji alanindaki mesleklerle ilgili bulgular; kiz ogrencilerin cogunun teknoloji alaninda meslek istemedigini, erkeklerin ise cogunun istediklerini gostermistir. Muhendislik alaniyla ilgili bulgulara gelindiginde ise, hem kiz hem de erkek ogrencilerin cogunun muhendislik alaninda bir kariyer sahibi olmak istemedikleri gorulmustur. STEM egitimi ile ogrencilerin basta muhendislik olmak uzere diger alanlara yonelik kariyer dusuncelerinin olumlu yonde gelistirilebilecegi dusunulmektedir.
Words as social tools: The old and the new. Bridging cognition and communication: Comment on "Words as social tools: Language, sociality and inner grounding in abstract concepts" by Anna M. Borghi et al.
Venue: Physics of life reviews
Year: 2019

The grounding of abstract concepts (ACs) in sensorimotor experience is a challenge for the embodied cognition approach. A number of proposals addressing this issue have been made in the last years [e.g. 1,2] Importantly, although Borghi et al.  claim that ACs are grounded in the linguistic system (p. 12) this is not the same grounding in bodily experience the embodied cognition is looking for [cf. 4] Borghi et al.'s grounding refers to the inner speech necessary "to re explain to ourselves word meaning" or "to prepare ourselves to ask the word meaning to others" (p. 40) This simply re instantiates the Chinese room problem: words must be related to something different from other words in order to have meaning. However, another potential grounding mechanism received less attention in WAT. The linguistic labels are less important for concrete concepts (CCs) since their learning relies more on perceptually available similarities across multiple instantiations, while for ACs linguistic labels are more important, serving as "a sort of "glue" keeping sparse experiences together" (p. 12) This view extends Barsalou's [5] proposal by highlighting the role of other people in ACs learning. Someone must provide a child with the label for very different experiences in order to create an AC in the child's mind. Thus, the difference between CCs and ACs is not a qualitative one, as both consist of labels and corresponding real life experiences, but a quantitative one: in the structure of an AC the socially provided label has much higher weight. This approach implies a continuum between ACs and CCs with gradually increasing role of culture and social experience when moving toward an abstract pole. It is important not to overlook the true novelty of WAT by focusing on the "words defined by other words" problem. By establishing a link between two cognitive mechanisms, namely the learning of ACs and social interactions, WAT bridges two different fields of research cognitive and communicative studies. If others play an important role in formation of ACs via communication, then (embodied) communicative practices in a given community are directly related to ACs shared by members of that community. ACs, considered as the basis of high level cognition, are taught by members of the community, and only their acquisition enables an individual to be a part of the community and to (inter)act efficiently in this community. In the play "Pygmalion" by G.B. Shaw (1912) it was not enough for
Concerns about disease management and psychological stress in SAPHO patients during the COVID 19 epidemic
Venue: medRxiv
Year: 2020

The coronavirus disease 2019 (COVID 19) epidemic brings potentially impact on the care of patients with rheumatic diseases, including SAPHO syndrome. We aimed to investigate the disease status, concerns about management, and psychological stress in SAPHO patients during the COVID 19 epidemic.  A structured questionnaire was distributed online to patients with SAPHO syndrome enrolled in a Chinese cohort study on March 3rd, 2020. Patients were ask about the current treatments, disease status, and concerns about disease management during the epidemic. Psychologic stress (scored from 0 to 10 points) and psychological problems were reported by the patients.  A total of 157 patients (mean age 38.4 12.3 years, 66.9% females) were included in the study. None of the patients were diagnosed with COVID 19. Sixty five (41.4% patients worried about their disease conditions during the epidemic with concerns including medication shortage (73.8% delay of consultation (46.2% and disease aggravation (61.5% Sixty seven (42.7% patients had medication withdrawal or dose reduction due to lack of drugs, irregular daily schedule or subjective reasons. The most common psychological problems reported was little interest or pleasure in doing things (66.2% Patients with progressive disease condition were more distressed and disturbed by the epidemic. Patients with nail involvement felt more worried about their disease conditions than patients without (59.6% vs 31.0% p =0. 001)  The COVID 19 epidemic imposes a negative impact on the disease management and psychological stress in SAPHO patients. Patients' access to specialty care and medication well as mental stress is of great concern.
Beyond recidivism: identifying the liberatory possibilities of prison higher education
Year: 2019

In 2016, the Obama administration launched the Second Chance Pell Pilot Program, an Experimental Sites Initiative that provides funding to eligible people in state and federal prisons as they pursue undergraduate coursework during the period of their incarceration. The administration justified the restoration of education programs in prison in terms of recidivism rates, citing research demonstrating that educational attainment decreases the odds that a person is reincarcerated for new crimes or parole violations following their release. While recidivism is a desired outcome from the restoration of higher education in prison, it is not and should not be the only one. We argue that a focus limited to recidivism obscures the relationship between education and democracy and diminishes the radical possibilities of higher education for fostering peaceful and just communities. In this essay we highlight some of our experiences as faculty and administrators of Villanova University's undergraduate degree program at State Correctional Institution Graterford to illustrate how the benefits of higher education can extend beyond market participation to include community building, expansion of social capital, and political action.
Generalized Net Model of Common Internet Payment Gateway with Intuitionistic Fuzzy Estimations
Venue: Intuitionistic and Type 2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms
Year: 2020

A payment gateway is a service that authorizes and processes debit/credit card or other payments for online merchants it facilitates these transactions by encrypting sensitive data and transferring it between a payment portal (a website or a mobile device) and the bank/front end processor. In this paper we examine the transaction process, even though it takes only a few seconds, several steps are accomplished during that brief window of time. Here we present a generalized net model with intuitionistic fuzzy estimations of such an internet payment gateway.
Can Deep Learning Predict Risky Retail Investors? A Case Study in Financial Risk Behavior Forecasting
Venue: Eur. J. Oper. Res.
Year: 2020

The success of deep learning for unstructured data analysis is well documented but little evidence has emerged related to the structured, tabular datasets used in decision support. We address this research gap by considering the potential of deep learning to support financial risk management. In particular, we develop a deep learning model for predicting whether individual spread traders are likely to secure profits from future trades. This embodies typical modeling challenges faced in risk and behavior forecasting. Conventional machine learning requires data that is representative of the feature target relationship and relies on the often costly development, maintenance, and revision of handcrafted features. Consequently, modeling highly variable, heterogeneous patterns such as the behavior of traders is challenging. Deep learning promises a remedy. Learning hierarchical distributed representations of the raw data in an automatic manner (e.g. risk taking behavior) it uncovers generative features that determine the target (e.g. trader's profitability) avoids manual feature engineering, and is more robust toward change (e.g. dynamic market conditions) The results of employing a deep network for operational risk forecasting confirm the feature learning capability of deep learning, provide guidance on designing a suitable network architecture and demonstrate the superiority of deep learning over powerful machine learning benchmarks. Empirical results suggest that the financial institution which provided the data can increase annual profits by 16% through implementing a deep learning based risk management policy. The findings demonstrate the potential of applying deep learning methods for management science problems in finance, marketing, and accounting.
Replacing Cottonseed Meal and Sorghum Grain with Corn Dried Distillers Grains with Solubles in Lamb Feedlot Diets: Growth Performance, Rumen Fluid Parameters, and Blood Serum Chemistry1
Year: 2020

Effects of replacing cottonseed meal (CSM) and sorghum grain with dried distillers grains with solubles (DDGS) in Dorper ram lamb (n 46) feedlot diets on growth performance, rumen fluid parameters, and blood serum chemistry were evaluated. In a 56 d randomized design study, lambs were provided ad libitum 70.9% concentrate diets in individual pens. The positive control diet (CNTL; representative of a traditional feedlot diet) contained CSM, sorghum grain, and other concentrates, but no DDGS. Four treatment diets were similar to CNTL but did not contain CSM: corn DDGS replaced 0% (0DDGS) 33% (33DDGS) 66% (66DDGS) or 100% (100DDGS) of the sorghum grain. Lambs fed CNTL were compared to 0DDGS and linear and quadratic effects were evaluated within the four DDGS diets. A treatment x day interaction was observed (P 0.001) for lamb BW but not for ADG, DMI, or G:F (P 0.78) Lambs fed CNTL had greater (P 0.02) BW on d 42 and 56 and greater (P 0.008) overall ADG and G:F than lambs fed 0DDGS. On d 42 and 56, lamb BW quadratically increased (P 0.04) as DDGS increased in the diet. Averaged across all days, ADG quadratically increased (P 0.001) and DMI and G:F tended to quadratically increase (P 0.08) as DDGS increased in the diet. On d 56, ruminal pH quadratically decreased (P 0.001) ruminal ammonia N quadratically increased (P 0.001) acetate linearly increased (P 0.001) and acetate:propionate tended to linearly increase (P 0.08) as DDGS increased in the diet. Various blood serum profiles were affected by diet, but data suggested that diet did not negatively affect lamb health. Results indicated that lamb growth performance is enhanced when CSM is used to increase dietary CP (CNTL vs. 0DDGS) and that, within the diets that did not contain CSM, the 66DDGS diet resulted in the greatest growth performance. (c)2020, Sheep Goat Research Journal Sheep Goat Research Journal, Volume 35, 2030 April 1 Volume 35, 2020 April Replacing Cottonseed Meal and Sorghum Grain with Corn Dried Distillers Grains with Solubles in Lamb Feedlot Diets: Growth Performance, Rumen Fluid Parameters, and Blood Serum Chemistry1 K. M. Hodges2, T. R. Whitney3,4 W. S. Ramsey2, and C. R. Kerth2 1 This work was supported by the USDA National Institute of Food and Agriculture Hatch Project
When is Self Training Effective for Parsing?
Venue: COLING
Year: 2008

Self training has been shown capable of improving on state of the art parser performance (McClosky et al. 2006) despite the conventional wisdom on the matter and several studies to the contrary (Charniak, 1997; Steedman et al. 2003) However, it has remained unclear when and why self training is helpful. In this paper, we test four hypotheses (namely, presence of a phase transition, impact of search errors, value of non generative reranker features, and effects of unknown words) From these experiments, we gain a better understanding of why self training works for parsing. Since improvements from self training are correlated with unknown bigrams and biheads but not unknown words, the benefit of self training appears most influenced by seeing known words in new combinations.
Binary Weighted Synaptic Circuit for Neuromorphic Learning System Using Stochastic Memristor SPICE Model
Venue: 2019 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)
Year: 2019

The memristive device is a nanoscale nonlinear passive two terminal fourth fundamental circuit element in addition to the three previously known passive fundamental circuit elements namely resistor, capacitor, and inductor. However aside from its non volatile memory nature, this memristor resistance/ memristance controlled in the circuit operation by the amount of charge applied between its terminals. The memristor device SPICE modeling is significant for memristive circuit and neuromorphic system design. Nowadays probabilistic switching behavior observed in many fabricated memristor devices that inspired stochastic learning rule for memristor based neuromorphic learning system application. In this paper, a stochastic metastable switch memristor model (MSSs) is used for binary weighted memristor based artificial synapse circuitry presentation. Using this MSSs memristor SPICE model a binary weighted memristor based artificial synapse circuit presented. The presented circuit shows a binary response to the signal given to the memristor implemented in the binary synaptic circuit using a stochastic memristor device model. The authors left the implementation of the proposed binary synaptic circuit in a memristor based artificial neural network that functions through the clipped perceptron (CP) learning algorithm as future work.
SSHTDNS: A Secure, Scalable and High Throughput Domain Name System via Blockchain Technique
Venue: NSS
Year: 2019

Domain name system is an important infrastructure of the Internet, which is responsible for mapping domain name to IP address. However, it is facing serious security threats due to its distributed structure with a center. Blockchain has received extensive attention due to its decentralized, secure and trusted characteristics since the existence of Bitcoin. In this paper, we propose a new domain name system based on blockchain techniques called SSHTDNS. The form of consortium chain is adopted in SSHTDNS to guarantee the management of Top Level Domain names, and linkable ring signature technique is used for identity anonymity and voting fairness of these consortium nodes. Multi chain structure is designed with sharding protocol to enhance the scalability and throughput of the system. In addition, SSHTDNS allows nodes to use index databases outside the chain to speed up domain name resolution and verification. A combination of these techniques enables a secure, scalable and high throughput domain name system.
Exenatide Once Weekly Plus Metformin for the Treatment of Type 2 Diabetes Mellitus: A Network Meta Analysis of Randomised Controlled Trials.
Venue: Value in health the journal of the International Society for Pharmacoeconomics and Outcomes Research
Year: 2015

Table 1. Relative effect sizes for change of HbA1c, risk of nausea and treatment discontinuation due to AEs, all GLP 1 RA treatments compared to placebo. In addition to GLP 1 RAs, two sulfonylureas (glibenclamide, glimepiride) two thiazolidinediones (rosiglitazone, pioglitazone) the dipeptidyl peptidase 4 inhibitor sitagliptin and insulin were included to ensure a connected network of comparative trials when direct evidence was not available. Results are presented only for GLP1RAs.