nils-herrmann/clean_scirepeval huggingface dataset:
The Pioneer Women: Rewriting the History of Gender in Sudan
Venue: Female Pioneers from Ancient Egypt and the Middle East
Year: 2021

Historians of Sudan have documented many cases of Sudanese women, who struggled against colonialism even before the beginning of women's access to primary formal education in the early twentieth century. The objective of this chapter is to go beyond such historical stories to critically rethink our history to understand how Sudanese women's activism has informed this history. Also, it aims to advocate against the gender blindness of history and to investigate the meaning of feminism in the context of the women's movement in Sudan within the framework of nationalism. I argue that these women worked together with nationalist forces to gain both independence and women's rights to education, work, and suffrage. They have managed, through a long and difficult journey, to change the meaning of gender relations over time and to realize major changes in the lives of women. My research outcomes reveal that women in Sudan believe that their struggle and activism not only revolve around achieving equality with men, but that their activism began with their demand for rights in public life, in education, in work, and for suffrage, gradually and positively changing gender relations to their favor. Adel Al (1997) documented the story of Mihera Bint Abood, whose father was the leader of the Al Shaigiyya Tribe in Northern Sudan; Mihera participated with the knights of her tribe in fighting against the Turko Egyptian invasion in 1821. Badri (1986) contends that this early participation was documented in a popular song that encouraged women to take a lead in freeing their country. This asserts these women's political consciousness and sense of belonging. This chapter further historicizes and contextualizes the life experiences of the pioneer of women activists in Sudan with reference to their heterogeneity, understanding of feminism and nationalism in the period of 1947 1969. This era represented the organized start of the women's activism in Sudan with the nationalists' struggle for independence. My goal is to make visible how women who joined the nationalists' movements as active agents "imagine their nation." As Sorenson and Matsuoka argued, men and women do not always share the same vision of a "nation." Women may imagine themselves achieving more participation in decision making and a more equal division of responsibilities at home. Very few men envision new nations in which women play a major role and in which men participate equally in household tasks and child care (2001, 105) Drawing from and building on feminists' theorizations on the role of the state, feminism, and nationalism will help to highlight the experiences of women during this era and support their struggle and achievements.
The sound transmission through tube arrays in power boilers based on phononic crystals theory
Year: 2016

The heat exchanger structure in power plants can be treated as two dimensional phononic crystals. The aim of this paper is to show the sound transmission characteristics through the heat exchanger. The plane wave expansion method is presented to compute the band gaps of the tube arrays which are composed of square or rectangular lattices of solid cylinders in the air matrix. By using the Matlab and Comsol software, and setting the pitch and diameter parameters of the tube arrays and the temperature of circumstance, the sound band gap diagram and the impact of the sound transmission are got to understand the acoustic signal processing in power station boilers. In simulation, two dimensional pressure acoustics Application Mode (acpr) is chosen, and finite difference method is used to divide the grid. For the sound vertically incident upon the tube arrays, we can get that the experimental results can be matched with the numerical results quite well. The results obtained through experiments and calculations can tell us that the band gaps are associated with the structure and the temperature. The study can provide new idea and method on theory and application of sound propagation in power station boilers.
Electroconductive Composites Containing Nanocellulose, Nanopolypyrrole, and Silver Nanoparticles
Year: 2019

In this work, conducting composites of nanocellulose (NC)/polypyrrole nanoparticles (NPPy) and silver nanoparticles (AgNPs) i.e. NC/NPPyAg, were synthesized for the first time, to the best of our knowledge, via in situ emulsion polymerization of pyrrole in the presence of surfactant dopants. The AgNPs acted as an oxidizing agent to simultaneously incorporate nanoparticles into the prepared composites. The structures and morphologies of the prepared composites were studied using Fourier transform infrared (FTIR) spectroscopy, X ray diffraction (XRD) UV Vis Spectra, thermogravimetric analysis (TGA) and scanning and transmission electron microscopy (SEM and TEM) techniques. Additionally, the prepared composites were characterized by their conductivities, and the dielectric constants dielectric losses and AC conductivities were studied for the prepared composites with an increasing NPPy content as a function of the frequency.
Learning Political News From Social Media: Network Media Logic and Current Affairs News Learning in a High Choice Media Environment
Year: 2018

With the migration from traditional news media to social media, understanding how citizens learn about politics and current affairs from these sources has become increasingly important. Based on the concept of network media logic, distinct from traditional mass media logic, this study investigates whether using social media as a source of political news compensates for not using traditional news media in terms of political and current affairs learning. Using two panel studies conducted in two different political contexts an election setting and a nonelection setting the results show positive learning effects from using traditional news media and online news websites, but not from using social media. Taken together, the findings suggest that using social media to follow news about politics and current affairs does not compensate for not using traditional news media in terms of learning a diverse and broad set of general political news.
FACTORS AFFECTING INTELLECTUAL CAPITAL PERFORMANCE WITH PROFITABILITY AS MODERATING VARIABLES IN COMPANIES IN THE LQ 45 INDEX IN INDONESIA STOCK EXCHANGE, 2015 2017
Year: 2020

The purpose of this study was to determine and analyse the factors that affect intellectual capital performance in companies incorporated in the LQ 45 index in the Indonesia Stock Exchange. The dependent variable in this study is intellectual capital performance. Employee productivity, firm size and board size as independent variables and profitability as moderating variables. The object of this research is companies incorporated in the LQ 45 index on the Indonesia Stock Exchange in 2015 2017. The sampling technique uses saturated samples. The research sample consisted of 54 companies with 162 units of analysis. Data analysis method is secondary data using SPSS (Statistical Package for the Social Sciences) The results of this study indicate that employee productivity has a positive and significant effect on intellectual capital performance. Firm size has a negative and significant effect on intellectual capital performance. Board size has no effect on intellectual capital performance. The profitability variable is not able to moderate the effect of employee productivity, firm size and board size on intellectual capital performance.
Identification of a major dominant gene for race nonspecific tan spot resistance in wild emmer wheat
Venue: Theoretical and Applied Genetics
Year: 2019

A single dominant gene found in tetraploid and hexaploid wheat controls broad spectrum race nonspecific resistance to the foliar disease tan spot caused by Pyrenophora tritici repentis  Tan spot is an important foliar disease of durum and common wheat caused by the necrotrophic fungal pathogen Pyrenophora tritici repentis Genetic studies in common wheat have shown that pathogen produced necrotrophic effectors interact with host genes in an inverse gene for gene manner to cause disease, but quantitative trait loci (QTLs) with broad race nonspecific resistance also exist. Less work has been done to understand the genetics of tan spot interactions in durum wheat. Here, we evaluated a set of Langdon durum wild emmer Triticum turgidum ssp. dicoccoides disomic chromosome substitution lines for reaction to four P. tritici repentis isolates representing races 1, 2, 3, and 5 to identify wild emmer chromosomes potentially containing tan spot resistance genes. Chromosome 3B from the wild emmer accession IsraelA rendered the tan spot susceptible durum cultivar Langdon resistant to all four fungal isolates. Genetic analysis indicated that a single dominant gene, designated Tsr7 governed resistance. Detailed mapping experiments showed that the Tsr7 locus is likely the same as the race nonspecific QTL previously identified in the hexaploid wheat cultivars BR34 and Penawawa. Four user friendly SNP based semi thermal asymmetric reverse PCR (STARP) markers cosegregated with Tsr7 and should be useful for marker assisted selection of resistance. In addition to 3B, other wild emmer chromosomes contributed moderate levels of tan spot resistance, and, as has been shown previously for tetraploid wheat, the Tsn1 Ptr ToxA interaction was not associated with susceptibility. This is the first report of a major dominant gene governing resistance to tan spot in tetraploid wheat.
Farmers' adaptation choices to climate change: a case study of wheat growers in Western Iran
Year: 2019

Climate change is expected to disproportionately affect farmers by further exacerbating the risks that they face. These risks have a huge negative impact on their livelihood. However, mounting evidence has revealed that farmers can effectively manage this negative impact by adapting their farming practices to climate change. The objectives of this study were to evaluate the farmers9 ongoing adaptation measures, and to identify factors that influence their choice of adaptation methods in wheat production in the Kermanshah district in Western Iran. A sample of 350 farmers living in this region was selected through a multi stage stratified and random sampling method. Principal component analysis revealed that three components play a role in the farmers9 decisions on adaptation methods, namely, farm production practices, farm financial management, and government programs and insurance. The relative influence of the factors listed under each of the three components was assessed using a multiple linear regression analysis. Our analysis showed that these factors accounted for 50% 25% and 40% of the adaptation responses analyzed, respectively. In sum, our findings yield recommendations for agriculture extension and risk communication strategies that could promote adaptation behavior among Iranian farmers.
NAD+ Repletion Rescues Female Fertility during Reproductive Aging
Venue: Cell reports
Year: 2020

Reproductive aging in female mammals is an irreversible process associated with declining oocyte quality, which is the rate limiting factor to fertility. Here, we show that this loss of oocyte quality with age accompanies declining levels of the prominent metabolic cofactor nicotinamide adenine dinucleotide (NAD+ Treatment with the NAD+ metabolic precursor nicotinamide mononucleotide (NMN) rejuvenates oocyte quality in aged animals, leading to restoration in fertility, and this can be recapitulated by transgenic overexpression of the NAD+ dependent deacylase SIRT2, though deletion of this enzyme does not impair oocyte quality. These benefits of NMN extend to the developing embryo, where supplementation reverses the adverse effect of maternal age on developmental milestones. These findings suggest that late life restoration of NAD+ levels represents an opportunity to rescue female reproductive function in mammals.
Ordinal Hyperplane Loss
Venue: 2018 IEEE International Conference on Big Data (Big Data)
Year: 2018

The problem of ordinal classification occurs in a large and growing number of areas. Some of the most common source and applications of ordinal data include rating scales, medical classification scales, socio economic scales, meaningful groupings of continuous data, facial emotional intensity, facial age estimation, etc. The problem of predicting ordinal classes is typically addressed by either performing n 1 binary classification for n ordinal classes or treating ordinal classes as continuous values for regression. However, the first strategy doesn't fully utilize the ordering information of classes and the second strategy imposes a strong continuous assumption to ordinal classes. In this paper, we propose a novel loss function called Ordinal Hyperplane Loss (OHPL) that is particularly designed for data with ordinal classes. The proposal of OHPL is a significant advancement in predicting ordinal class data, since it enables deep learning techniques to be applied to the ordinal classification problem on both structured and unstructured data. By minimizing OHPL, a deep neural network learns to map data to an optimal space where the distance between points and their class centroids are minimized while a nontrivial ordinal relationship among classes are maintained. Experimental results show that deep neural network with OHPL not only outperforms the state of the art alternatives on classification accuracy but also scales well to large ordinal classification problems.
The role of regulatory focus in decision making of mobile app download: A study of Chinese college students
Venue: Telematics Informatics
Year: 2018

This paper aims to map out college consumers' decision making process in mobile application download. Regulatory focus (RF) is examined as an important factor affecting gratifications sought (GS) and information processing (IP) app selection style and the ultimate mobile app download behavior. Results show that RF has effects on hedonic GS, and heuristic IP and systematic IP. Hedonic GS positively predicts equally both heuristic processing and systematic processing. Both heuristic processing and systematic processing predict selection style. Although selection style does not affect download app type diversity, impulsive style consumers are more likely to download the app. The study also shows college consumers in general have high likelihood in downloading an app after they considered it. Hedonic GS mediates the relation between RF and both heuristic processing and systematic processing. Systematic processing mediates hedonic GS and selection style. Hence mobile app download decision involves both heuristic and systematic processing.
Functional MRI registration with tissue specific patch based functional correlation tensors
Venue: Human brain mapping
Year: 2018

Population studies of brain function with resting state functional magnetic resonance imaging (rs fMRI) rely on accurate intersubject registration of functional areas. This is typically achieved through registration using high resolution structural images with more spatial details and better tissue contrast. However, accumulating evidence has suggested that such strategy cannot align functional regions well because functional areas are not necessarily consistent with anatomical structures. To alleviate this problem, a number of registration algorithms based directly on rs fMRI data have been developed, most of which utilize functional connectivity (FC) features for registration. However, most of these methods usually extract functional features only from the thin and highly curved cortical grey matter (GM) posing great challenges to accurate estimation of whole brain deformation fields. In this article, we demonstrate that additional useful functional features can also be extracted from the whole brain, not restricted to the GM, particularly the white matter (WM) for improving the overall functional registration. Specifically, we quantify local anisotropic correlation patterns of the blood oxygenation level dependent (BOLD) signals using tissue specific patch based functional correlation tensors (ts PFCTs) in both GM and WM. Functional registration is then performed by integrating the features from different tissues using the multi channel large deformation diffeomorphic metric mapping (mLDDMM) algorithm. Experimental results show that our method achieves superior functional registration performance, compared with conventional registration methods.
A Comparative Study on Construction of Teaching Staff in Modeling Vocational Colleges between Xinjiang and Developed Areas of China
Year: 2013

The vocational education in Xinjiang has a certain disparity compared with that in the fast developed areas of China because of the economic status and education environment.The most important influence at present on Xinjiang higher vocational education is lack of teaching staff,especially teachers of high level.The paper compares the construction of teaching staff between Xinjiang and the developed areas of China,discusses the advanced experiences in these developed areas and proposes some measures to promote the construction of teaching staff in Xinjiang vocational colleges.
Exploring critical factors influencing nurses' intention to use tablet PC in Patients' care using an integrated theoretical model
Venue: The Libyan journal of medicine
Year: 2019

The use of health information technology (HIT) is expected to deliver benefits for patients, nurses, physicians, and organizations, but the benefits of HIT can only be attained if nurses accept and intend to use it as they are the leading user group. The use of the tablet is becoming commonplace in healthcare organizations to improve patient care. The current study incorporates Technology Acceptance Model2 (TAM2) with two antecedents, facilitating condition and personal, to identify and understand the factors that influence nurses' intention to use the Tablet PC. The survey methodology was used to collect data from the nurses working in a regional healthcare center in Taiwan. The structural equation modeling (SEM) technique was employed to analyze the research framework. A total of 110 valid responses for analysis. The results suggest that the modified proposed research framework explains about 41.7% of the variance of nurses' behavioral intention. The partial least squares (PLS) regression indicated that perceived usefulness, subjective norm, and personal a positive and significant influence on nurses' intention to use the Tablet PC. But concerning the perceived ease of use, the insignificant path coefficient was reported. The finding also indicated that personal on the research model is much stronger than the subjective norm on Tablet PC performance. The proposed research framework contributes to the conclusive explanation for understanding nurses' intention to use. The current study brings perspectives from the technological and attitudinal differences that have largely been missing in the existing literature of the nurses' intention to use HIT. Thus, health care providers must take these factors into consideration as the findings of the current study advance theory and contribute to the basis for future study intended for enhancing our understanding of nurses' adoption behavior regarding HIT.
Pengaruh Corporate Governance dan Sales Growth terhadap Tax Avoidance di Bursa Efek Indonesia (BEI) 2014 2018
Year: 2020

Avoidance is an effort to minimize the tax burden that is still in the realm of tax law. The purpose of the study was to analyze corporate governance and sales growth on tax avoidance. The research population is 70 basic and chemical industry companies listed on the Indonesia Stock Exchange in 2014 2018. Sampling using a purposive sampling technique, 7 companies were selected. The data analysis technique used is multiple linear regression. The results of this study are Institutional Ownership, Majerial Ownership, the number of boards of Commissioners and Sales growth simultaneously influence Tax Avoidance. Partially Institutional Ownership and the number of the Board of Commissioners influences Tax Avoidance. While Sales growth has no effect on Tax Avoidance. the benefits of this research are being able to broaden insight and at the same time gain knowledge about the effect of corporate governance and sales growth on tax avoidance.
p300 Promotes Cell Proliferation through Suppressing Kaposi's Sarcoma Associated Herpesvirus (KSHV) Reactivation in the Infected B Lymphoma Cells.
Venue: Virus research
Year: 2020

Primary Effusion Lymphoma(PEL) is a B cell lymphoma associated with Kaposi's sarcoma herpesvirus (KSHV) infection. However, the mechanism of oncogenesis of PEL is still unclear. Studies have shown that the cellular transcriptional coactivator p300 regulates the interaction between host and virus, which plays a vital role in viral replication. In this study, we investigated the role of p300 in BCBL1 cells during the KSHV life cycle. We found that p300 knockout resulted in an overall increase for the early lytic genes and changed the expression of genes associated with tumor development, proliferation, and the immune response in the KSHV infected B cells. However, knockout of p300 significantly inhibited the expression of the immediate early gene RTA and the late lytic gene K8 after KSHV lytic activation. Additionally, the intracellular KSHV genome copy number and the virion production were reduced. These results demonstrated that p300 plays a crucial role in suppressing KSHV viral replication in BCBL1. Furthermore, we observed that the growth of BCBL1 was inhibited by knockout of p300, which confirmed our findings that p300 promotes cell proliferation. This study further provided evidence that p300 plays an important role in the pathogenesis of BCBL1, which might lead to the oncogenesis of PEL caused by KSHV infection.
A Multidisciplinary Survey of Social Network Diffusion Models
Venue: IEEE Intell. Informatics Bull.
Year: 2015

Various models for the diffusion of information and behavior in a social network have been introduced in various disciplines. This paper (a companion to tutorials presented at IJCAI 2015 and AAAI 2016) provides an overview of several major families of models. In particular, we describe deterministic tipping, linear threshold/independent cascade, logic programming diffusion models, and evolutionary graph theory.
Three convolutional neural network models for facial expression recognition in the wild
Venue: Neurocomputing
Year: 2019

Facial expression recognition (FER) in the wild is a novel and challenging topic in the field of human emotion perception. Different kinds of convolutional neural network (CNN) approaches have been applied to this topic, but few of them ever considered what kind of architecture was better for the FER research. In this paper, we proposed three novel CNN models with different architectures. The first one is a shallow network, named the Light CNN, which is a fully convolutional neural network consisting of six depthwise separable residual convolution modules to solve the problem of complex topology and over fitting. The second one is a dual branch CNN which extracts traditional LBP features and deep learning features in parallel. The third one is a pre trained CNN which is designed by transfer learning technique to overcome the shortage of training samples. Extensive evaluations on three popular datasets (public CK+ multi view BU 3DEF and FER2013 datasets) demonstrated that our models were competitive and representative in the field of FER in the wild research. We achieved significant better results with comparisons to plenty of state of the art approaches. Moreover, we provided discussions on the effectiveness and practicability of CNNs with different feature types and architectures for FER in the wild as well.