nils-herrmann/clean_scirepeval huggingface dataset:
"Western sexy?" the West, the rest and sexualised media
Year: 2018

In academic and popular debates about sexualisation, the "mainstreaming of sex in the West" is a common catchphrase. As noted by post colonial and critical race scholars, categories such as "the West" remain powerful discursive ideas shaping how both researchers and researched border and construct race, difference, and sexuality. However, there is very little research that employs a post colonial analysis of young people's negotiations of sexualised media, most particularly studies that elucidate how the oppositional frameworks of colonial discourse sets up normative and "othered" subjectivities. In order to address this gap, I turn to Stuart Hall's classic paper The West and the Rest to reflect on a project undertaken in South Australia with young people from a broad range of cultural backgrounds. In a fascinating set of reflections, the young people present a powerful set of challenges to the binary of the West and the Rest through their narratives on sexualised media. Taken together, these complex and sometimes contradictory narratives remind us of the problems associated with talking in generalised and universalising ways about "sexualisation in the West."
Effect of torsion angle on tension torsion multiaxial fretting fatigue behaviors of steel wires
Year: 2018

A tension torsion multiaxial fretting fatigue test apparatus was employed to investigate the effect of torsion angle on multiaxial fretting fatigue behaviors of steel wires in the present study. Working principals and structures of the test apparatus were introduced. Evolutions with fatigue loading of hysteresis loops of tangential force versus relative displacement between contacting wires, and torque versus torsion angle of steel wire were explored. Three dimensional white light interferometer was used to measure the deflection angle and size of wear scar. Coefficients of friction during tests at distinct torsion angles were compared. Crack propagation characteristics of steel wires were explored employing the X ray computed tomography. The results show that both types of hysteresis loops present overall increased loop areas with increasing torsion angle. An increase of torsion angle induces increased deflection angle and size of wear scar, coefficient of friction and maximum crack depth of steel wire, which reveals accelerated multiaxial fretting fatigue damage.
The diagnostic and prognostic values of Ki 67/MIB 1 expression in thyroid cancer: a meta analysis with 6,051 cases
Venue: OncoTargets and therapy
Year: 2017

Growing evidence has demonstrated that Ki 67/MIB 1 has an effect on the clinical progression and prognosis in cancers. However, the diagnostic and prognostic values of Ki 67/MIB 1 in thyroid cancer remain unclear.  The meta analysis was conducted in accordance with Preferred Reporting Items for Systematic Reviews and Meta Analyses guidelines. Studies were retrieved from PubMed, EBSCO, EMBASE, ISI Web of Science, China National Knowledge Infrastructure, WanFang and Chinese VIP databases. MetaDiSc and STATA12.0 were used to analyze the meta analysis. Fixed effect analysis and random effect analysis were applied to pool the relative ratio based on heterogeneity in this meta analysis.  In the meta analysis, 51 eligible studies were included. The pooled sensitivity of Ki 67/MIB 1 was 0.61 (95% confidence interval [CI] 0.59 0.63) and specificity was 0.75 (95% CI: 0.74 0.77) in thyroid cancer. The pooled positive likelihood ratio was 3.19 (95% CI: 2.30 4.42) and negative likelihood ratio was 0.43 (95% CI: 0.35 0.54) In the diagnosis of thyroid cancer, the pooled diagnostic odds ratio of Ki 67/MIB 1 was 8.54 (95% CI: 5.03 14.49) The area under the symmetric receiver operating characteristic curve was 0.804 (standard error =0.031) Our results showed that there were statistical associations between Ki 67/MIB 1 and age (odds ratio [OR] =1.71, 95% CI: 1.14 2.57, P=0.010) tumor size (OR =1.86, 95% CI: 1.17 2.96, P=0.008) lymph node metastasis (OR =2.49, 95% CI: 1.42 4.39, P=0.002) metastasis status (OR =6.96, 95% CI: 2.46 19.69, P<0.001) tumor node metastasis stage (OR =6.56, 95% CI: 3.80 11.34, P<0.001) and extrathyroid extension (OR =1.91, 95% CI: 1.27 2.87, P=0.002) Furthermore, thyroid cancer patients with a high level of Ki 67/MIB 1 had a worse disease free survival as compared to patients with a low level of Ki 67/MIB 1 (hazard ratio =5.19, 95% CI: 3.18 8.46, P<0.001) Also, Ki 67/MIB 1 was found to be associated with increased risk of mortality (hazard ratio =3.56, 95% CI: 1.17 10.83, P=0.025)  Our results demonstrated that Ki 67/MIB 1 might act as a potential factor in diagnosing thyroid cancer in Chinese. Also, the meta analysis indicated that Ki 67/MIB 1 might have an effect on prognosis in non Chinese thyroid cancer patients.
Fake news game confers psychological resistance against online misinformation
Venue: Palgrave Communications
Year: 2019

The spread of online misinformation poses serious challenges to societies worldwide. In a novel attempt to address this issue, we designed a psychological intervention in the form of an online browser game. In the game, players take on the role of a fake news producer and learn to master six documented techniques commonly used in the production of misinformation: polarisation, invoking emotions, spreading conspiracy theories, trolling people online, deflecting blame, and impersonating fake accounts. The game draws on an inoculation metaphor, where preemptively exposing, warning, and familiarising people with the strategies used in the production of fake news helps confer cognitive immunity when exposed to real misinformation. We conducted a large scale evaluation of the game with N 15,000 participants in a pre post gameplay design. We provide initial evidence that people's ability to spot and resist misinformation improves after gameplay, irrespective of education, age, political ideology, and cognitive style.
Super Resolution Channel Estimation for MmWave Massive MIMO: A Newtonian Method
Venue: 2019 IEEE 19th International Conference on Communication Technology (ICCT)
Year: 2019

Application of the massive multiple input multiple output (MIMO) can significantly improve the capacity of the 5G wireless communications. However, for the high computational complexity and complicated spatial structures, channel estimation is a great challenge for the massive MIMO systems. The sparse array structure based millimeter wave (MmWave) massive MIMO physical channel model via the angle of departure (AoD) angle of arrival (AoA) and gains associated with different propagation paths is studied. For the existing partial convergence and discrete variable problem in angle domain channel estimation, Newton global optimization is adopted in this paper, the parameters of which is reconstructed to improve the searching performance and compute speed. The limit boundary searching for channel estimation accuracy is derived to make the proposed study complete. The simulation results are provided to demonstrate that the proposed scheme significantly outperforms the counterparts and can achieve accurate channel estimation performance.
Adaptive Feature Selection Guided Deep Forest for COVID 19 Classification With Chest CT
Venue: IEEE Journal of Biomedical and Health Informatics
Year: 2020

Chest computed tomography (CT) becomes an effective tool to assist the diagnosis of coronavirus disease 19 (COVID 19) Due to the outbreak of COVID 19 worldwide, using the computed aided diagnosis technique for COVID 19 classification based on CT images could largely alleviate the burden of clinicians. In this paper, we propose an Adaptive Feature Selection guided Deep Forest (AFS DF) for COVID 19 classification based on chest CT images. Specifically, we first extract location specific features from CT images. Then, in order to capture the high level representation of these features with the relatively small scale data, we leverage a deep forest model to learn high level representation of the features. Moreover, we propose a feature selection method based on the trained deep forest model to reduce the redundancy of features, where the feature selection could be adaptively incorporated with the COVID 19 classification model. We evaluated our proposed AFS DF on COVID 19 dataset with 1495 patients of COVID 19 and 1027 patients of community acquired pneumonia (CAP) The accuracy (ACC) sensitivity (SEN) specificity (SPE) AUC, precision and F1 score achieved by our method are 91.79% 93.05% 89.95% 96.35% 93.10% and 93.07% respectively. Experimental results on the COVID 19 dataset suggest that the proposed AFS DF achieves superior performance in COVID 19 vs. CAP classification, compared with 4 widely used machine learning methods.
A New Coarsening Strategy for Multilevel Graph Partitioning
Year: 2012

When applying multilevel scheme to solve the graph partitioning problem, shortcomings and limitations exist in the state of the art coarsening schemes depend mainly on finding maximal matchings to obtain the coarse graphs, which can cause the multilevel algorithms to produce poor quality solutions. This paper proposes an improved coarsening scheme by improving vertex combining strategy and edge ordering criteria. The new coarsening scheme is more effective in quality, which is proved by both theoretical analysis and experimental results.
Multi Sensor Building Fire Alarm System with Information Fusion Technology Based on D S Evidence Theory
Venue: Algorithms
Year: 2014

Multi sensor and information fusion technology based on Dempster Shafer evidence theory is applied in the system of a building fire alarm to realize early detecting and alarming. By using a multi sensor to monitor the parameters of the fire process, such as light, smoke, temperature, gas and moisture, the range of fire monitoring in space and time is expanded compared with a single sensor system. Then, the D S evidence theory is applied to fuse the information from the multi sensor with the specific fire model, and the fire alarm is more accurate and timely. The proposed method can avoid the failure of the monitoring data effectively, deal with the conflicting evidence from the multi sensor robustly and improve the reliability of fire warning significantly.
Secure Intelligent Reflecting Surface Assisted MIMO Cognitive Radio Transmission
Venue: 2021 IEEE Wireless Communications and Networking Conference (WCNC)
Year: 2021

Intelligent reflecting surface (IRS) has been proposed as a very promising technique for beyond 5G and 6G communications. In this paper, we apply IRS to enhance the secure transmission of secondary user in a multi input multioutput (MIMO) cognitive radio (CR) wiretap channel. Since the study of secure IRS assisted CR communication is still an open problem, all the existing numerical solutions for enhancing secure communications in non CR setting as well as non secure communications in CR setting in the literature fail to this work due to the complicated structure of objective functions as well as the constraints. Therefore, to maximize the secrecy rate of secondary user, an efficient alternating optimization (AO) algorithm is proposed to jointly optimize the transmit covariance at base station and phase shift coefficients at IRS. Simulation results show that our proposed algorithm have fast monotonic convergence as well as better performance on enhancing the secrecy rate than the benchmark schemes.
ASPECTOS RELEVANTES DO USO DA TOXINA BOTULINICA NO TRATAMENTO ESTETICO E SEUS DIVERSOS MECANISMOS DE ACAO
Venue: Saber Cientifico
Year: 2019

A Toxina Botulinica tipo A (tambem conhecida como Botox) e uma das substancias mais importantes no campo do rejuvenescimento facial, sendo uma das tecnicas nao invasivas relevantes dos tempos atuais, podendo evitar o recurso a meios cirurgicos. A TB e uma produzida por uma bacteria gram positiva e anaerobica chamada Clostridium botulinum que atua sobre os neurotransmissores, controlando ou inibindo o estimulo de algumas funcoes no organismo, o objetivo central deste trabalho e realizar uma analise descritiva do tema "Aspectos relevantes do uso da toxina botulinica no tratamento estetico facial e seus diversos mecanismos de acao" A aplicacao da TBA e um tratamento cada vez mais eficaz de distonias faciais, na qual, esta, pode bloquear a liberacao da acetilcolina (Ach) na juncao neuromuscular e nas sinapses colinergicas perifericas, provocando assim a paralisia muscular. A dose de toxina botulinica utilizada varia de acordo com a extensao e a forca do musculo a ser tratado. Quanto maior a forca muscular ou mais extenso o musculo, maior a dose a ser utilizada. Sendo assim, o tratamento com injecao de toxina TBA alem de ter um elevado grau de satisfacao tambem tem um baixo indice de complicacoes ou efeitos colaterais.
Whatever Did Happen to the Antitrust Movement?
Year: 2018

Antitrust in the United States today is caught between its pursuit of technical rules designed to define and implement defensible economic goals, and increasing calls for a new antitrust "movement." The goals of this movement have been variously defined as combating industrial concentration, limiting the economic or political power of large firms, correcting the maldistribution of wealth, control of high profits, increasing wages, or protection of small business. High output and low consumer prices are typically unmentioned. In the 1960s the great policy historian Richard Hofstadter lamented the passing of the antitrust "movement" as one of the "faded passions of American reform." In its early history, he observed, antitrust had a powerful movement quality but very little success in the courts. Later, it ceased to be a movement just as it was attaining litigation success. As a movement, antitrust often succeeds at capturing political attention, but it fails at making effective or even coherent policy. The coherence problem shows up in goals that are both unmeasurable and fundamentally inconsistent, but with their contradictions rarely exposed. Among the most problematic contradictions is the one between small business protection and consumer welfare. Consumers benefit from low prices, high output and high quality and variety of products and services. But when a firm is able to offer these things it invariably injures rivals typically smaller firms or those dedicated to older technologies. Although movement antitrust rhetoric is often opaque about specifics, its general effect is invariably to encourage higher prices or reduced output or innovation, mainly for the protection of small business or firms dedicated to older technologies. Indeed, some spokespersons for movement antitrust write as if low prices are the evil that antitrust law should be combating. This piece sets out to do three things. First it describes so called "movement" antitrust, focusing on recent writings disparaging consumer welfare in favor of alternatives that seek to protect small business welfare, redistribute wealth, or pursue other goals. Then it describes the fundamental contours of technical antitrust, whose stated goal is the protection of high output and low prices, and explains why this approach is much more consistent with concerns about economic rationality, due process, administrability, and federalism. Finally, it examines several areas where technical antitrust rules could be improved, focusing mainly on merger policy and one particularly problematic area, which is antitrust's historical failure to deal adequately with monopsony power in labor markets.
Influence of Product Packaging on Buying Behavior of Customers in Kurnool District
Year: 2019

This study focuses on the role of packaging on buying behavior of consumers of Kurnool district. The objective of this research is to examine the essential factors, which are driving the success of a brand. This research also identified the relationship between the dependent variable i.e. consumer's buying behaviour and independent variables such as Packaging Colour, Packaging Material, Design of wrappers and Innovations. The data has been collected through questionnaire and for analysis has been done using SPSS software. The sample size for the study is 300 and convenient sampling technique has been adopted. According to the finding of the research study, it has been observed that the packaging is the most important factor.
Another look at tourism economic development nexus
Year: 2018

This paper investigates the causal relationships between tourism and economic development in emerging market economies. By using annual data for the period of 1995 2014, this study applies Granger causality analysis across countries to find the causal relationships between international tourism receipts GDP) and economic growth (annual Impulse responses function is also employed to track the responsiveness of one variable to shocks to another variable. Our estimation results generate evidence for uni directional causality from tourism to economic growth in Brazil, Mexico and Philippines while reverse relationship is detected for China, India, Indonesia, Malaysia and Peru. No causality is obtained for seven out of sixteen emerging market countries, and finally, bidirectional causality is detected for Chile. The impulse responses analysis confirms causality test results by detecting the linkage between economic growth and tourism receipts. Discussion, policy implications, and further research suggestions are provided in the article.
Random Fourier Approximations for Skewed Multiplicative Histogram Kernels
Venue: DAGM Symposium
Year: 2010

Approximations based on random Fourier features have recently emerged as an efficient and elegant methodology for designing large scale kernel machines  By expressing the kernel as a Fourier expansion, features are generated based on a finite set of random basis projections with inner products that are Monte Carlo approximations to the original kernel. However, the original Fourier features are only applicable to translation invariant kernels and are not suitable for histograms that are always non negative. This paper extends the concept of translation invariance and the random Fourier feature methodology to arbitrary, locally compact Abelian groups. Based on empirical observations drawn from the exponentiated kh2 kernel, the state of the art for histogram descriptors, we propose a new group called the skewed multiplicative group and design translation invariant kernels on it. Experiments show that the proposed kernels outperform other kernels that can be similarly approximated. In a semantic segmentation experiment on the PASCAL VOC 2009 dataset, the approximation allows us to train large scale learning machines more than two orders of magnitude faster than previous nonlinear SVMs.
Candida spp. Colonizing the Curious Lesions of Patients with Dental Carries: A Case Study from Mwanza Tanzania
Year: 2021

Martha F Mushi, Department of Microbiology and Immunology, Weill Bugando School of Medicine, Catholic University of Health and Allied Sciences, E mail: mushimartha@gmail.com Background Dental caries are an infectious disease which is a major concern for dentists  It results from the demineralization of hard tissues (Enamel, Dentin and Cementum) leading to the destruction of organic matter of the tooth as a result of acid by oral microorganisms [2] Streptococcus mutans were considered for a long time as the major causatives agents of dental caries  Recently, other microorganisms that produce acidogenic and aciduric conditions have been considered in the onset and the development of cariogenic lesions  Candida albicans is considered a commensal in the oral cavity, however, due to its ability to produce acidogenic and aciduric conditions it can potentially cause dental caries  Candida spp. are an opportunist microorganism found in the oral cavities and may cause serious candidiasis and have been reported being a major cause of denture stomatitis  A strong association has been found between the prevalence of Candida spp. and dental caries particularly in children and young adults [7] However, little has been done on the association of Candida spp. oral colonization and dental caries in adults. Due to the cariogenic potential of Candida albicans, it has been demonstrated to enhance in vitro colonization of dental biofilm by Streptococcus mutans and reported to possess a much greater ability to dissolve hydroxyapatite and even induce dental caries in rats experimentally than S. mutans  Candida albicans colonization has been found to significantly be associated with dental caries due to the fact it possesses various virulence factors such as adherence, persistence, dimorphism and or germ tube formation, phenotypic switching, interference with host defense system, synergism with bacteria, and production of hydrolases or other metabolites  In Africa, dental caries are one of the prevalent complaints among patients attending dental clinics. Similarly, the prevalence of oral candida colonization in adults is reported to range from 22.9% 33.9% [9,10] However, the data on the magnitude of Candida spp. colonization in these curios lesions and factors associated are still limited. The current study was proposed to determine the prevalence and risk factors associated with Candida spp. colonizing the curios lesions of patients with dental caries at Bugando Medical Centre and Sekou Toure Regional Referral Hospital Mwanza Tanzania. The data will add potential knowledge regarding the role of Candida spp. and dental caries.
Uptake, depuration and sublethal effects of the neonicotinoid, imidacloprid, exposure in Sydney rock oysters.
Venue: Chemosphere
Year: 2019

The broad utilisation of imidacloprid (IMI) in agriculture poses an increasing risk to aquatic organisms. However, the potential impacts on commercially important shellfish and chemical residues after exposure, are yet to be assessed. We investigated the levels of IMI in Sydney rock oyster (SRO) tissue during a three day uptake and four day depuration cycle using liquid chromatography mass spectrometry. IMI was absorbed from the water, with significantly higher concentrations in the adductor muscles than the gills and digestive glands. Depuration was also fast with a significant drop in tissue concentrations after one day in clean water and complete elimination from all tissues except the digestive gland after four days. The distribution of IMI in SRO after direct exposure using mass spectrometry imaging demonstrated uptake and spatially resolved metabolism to hydroxyl IMI in the digestive gland and IMI olefin in the gills. We assessed the effects of IMI on filtration rate (FR) acetylcholinesterase (AChE) activity in the gills, and gene expression profiles in the digestive gland using transcriptomics. Exposure to 2 mg/L IMI reduced the FR of oysters on the first day, while exposure to 0.5 and 1 mg/L reduced FR on day four. IMI reduced the gill AChE activity and altered the digestive gland gene expression profile. This study indicates that commercially farmed SRO can uptake IMI from the water, but negative impacts were only detected at concentrations higher than currently detected in estuarine environments and the chemical residues can be effectively eliminated using simple depuration in clean water.
Casting Light on Central Bank Digital Currencies
Year: 2018

Digitalization is reshaping economic activity, shrinking the role of cash, and spurring new digital forms of money. Central banks have been pondering wheter and how to adapt. One possibility is central bank digital currency (CBDC) a widely accessible digital form of fiat money that could be legal tender. This discussion note proposes a conceptual framework to assess the case for CBDC adoption from the perspective of users and central banks. It discusses possible CBDC designs, and explores potential benefits and costs, with a focus on the impact on monetary policy, financial stability, and integrity. This note also surveys research and pilot studies on CBDC by central banks around the world.