nils-herrmann/clean_scirepeval huggingface dataset:
On Translator's Subjectivity in the Light of Steiner's Fourfold Translation Motion on the Perspective of "Aggression" A Case Study on Cheng Naishan's Chinese Version of The Joy Luck Club
Year: 2019

Being the second stage of the fourfold translation motion, "aggression" indicates the translator's textual perception and comprehension. Steiner declared this motion as an unavoidable mark of attack. Lefevere also pointed out that translation functions in a given culture at a given time. The way they understand themselves and their culture is one of the factors that may influence the way in which they translate. The translator's intention and preference are involved in this stage. Many typical cases are employed to exemplify the "aggression" in translating.
Up Regulated Maternal Embryonic Leucine Zipper Kinase Predicts Poor Prognosis of Hepatocellular Carcinoma Patients in a Chinese Han Population
Venue: Medical science monitor international medical journal of experimental and clinical research
Year: 2017

Maternal embryonic leucine zipper kinase (MELK) has been implicated in various types of tumors, but its expression profile and clinicopathologic significance in hepatocellular carcinoma (HCC) in Chinese Han people remains unknown. Therefore, this study attempted to investigate the expression pattern of MELK in HCC tissues obtained from a Chinese Han population.  The expression of MELK, from RNA to protein levels, in HCC or disease free human liver tissues was evaluated using quantitative real time polymerase chain reaction assays and immunohistochemistry staining, and its prognostic significance was determined based on its impact on HCC patients' survival.  We found that HCC tissues expressed a higher level of MELK RNA than non tumor tissues in tumor related public databases (P<0.001) Hence, we assessed MELK mRNA expression within 32 HCC samples and their adjacent non tumorous liver tissues in our center. Subsequently, MELK protein expression was evaluated within 101 HCC specimens and 40 disease free liver tissues. Notably, it revealed that high MELK protein expression was significantly related with tumor number, tumor size, higher pathological tumor nodule metastasis stage, vascular invasion, and recurrence (P<0.05, all) Furthermore, elevated MELK protein expression was correlated with decreased overall survival and disease free survival (P=0.004 and P=0.002, respectively) Univariate and multivariate analysis results show that MELK protein may serve as an independent prognostic indicator for determining prognosis of HCC patients.  We found that, in a Chinese Han population, MELK was highly expressed within HCC tissues from RNA to protein levels, and may be a potential independent prognostic biomarker for HCC patients.
Development and Validation of a Deep Learning System for Segmentation of Abdominal Muscle and Fat on Computed Tomography
Venue: Korean journal of radiology
Year: 2020

We aimed to develop and validate a deep learning system for fully automated segmentation of abdominal muscle and fat areas on computed tomography (CT) images.  A fully convolutional network based segmentation system was developed using a training dataset of 883 CT scans from 467 subjects. Axial CT images obtained at the inferior endplate level of the 3rd lumbar vertebra were used for the analysis. Manually drawn segmentation maps of the skeletal muscle, visceral fat, and subcutaneous fat were created to serve as ground truth data. The performance of the fully convolutional network based segmentation system was evaluated using the Dice similarity coefficient and cross sectional area error, for both a separate internal validation dataset (426 CT scans from 308 subjects) and an external validation dataset (171 CT scans from 171 subjects from two outside hospitals)  The mean Dice similarity coefficients for muscle, subcutaneous fat, and visceral fat were high for both the internal (0.96, 0.97, and 0.97, respectively) and external (0.97, 0.97, and 0.97, respectively) validation datasets, while the mean cross sectional area errors for muscle, subcutaneous fat, and visceral fat were low for both internal (2.1% 3.8% and 1.8% respectively) and external (2.7% 4.6% and 2.3% respectively) validation datasets.  The fully convolutional network based segmentation system exhibited high performance and accuracy in the automatic segmentation of abdominal muscle and fat on CT images.
TiCFen Mo Li Du Dui Ti(C,N)Ji Jin Shu Tao Ci Zu Zhi Ji Xing Neng De Ying Xiang
Year: 2012

Tong Guo Cai Yong Zhen Kong Shao Jie Gong Yi De Fen Mo Ye Jin Fa Zhi Bei Liao Liang Zu Bu Tong TiCLi Du De Ti(C,N)Ji Jin Shu Tao Ci Cai Liao Cai Yong XRD, SEM, EDSYan Jiu Liao Xiang Jie Gou He Xian Wei Zu Zhi ,Ce Ding Liao Shi Wen Li Xue Xing Neng Jie Guo Biao Ming ,Yong Na Mi TiCFen Mo Zhi Bei De Jin Shu Tao Ci Zu Zhi Xi Xiao Jun Yun ,Kang Wan Qiang Du Ying Du Jun Jiao Gao ,Fen Bie Da 1021.5 MPaHe 17.7 GPa(HV10)
Is Participating in MOOC Forums Important for Students? A Data driven Study from the Perspective of the Supernetwork
Year: 2018

Compared with traditional course materials used in the classroom, the massive open online course (MOOC) forum that delivers unlimited learning content to students has various advantages. Yet MOOC has also received criticism recently, notably the problem of extremely low participation rates in its discussion forums. This study aims to explore the correlation between forum activity and student course grade in MOOC, and identify more accurately the forum activity levels of participants and the quality of threads in MOOC.  We crawled students' tests, final exams, exercises, discussions performance data and total scores from a course in Chinese College MOOC from May 2014 to August 2014. And we use the data to analyze the correlation between Forum Participation and Course Performance based on nonparametric tests as well as multiple linear regressions with the software of R. The study provides definitions and algorithms of super degrees based on the supernetwork model to help find high quality threads and active participants.  A positive correlation between forum activity and course grade is found in this study. Students who participate in the forum have better performance than those who do not. Using the definitions and algorithms of super degrees in the supernetwork, forum activity levels of participants as well as the quality of threads they employ are identified.  Only limited representative forum participants and threads are used to analyze the activity level and significance of the MOOC forum. Also, the study only investigates one Chinese course on information retrieval. More data and more data sources could be helpful in better understanding the MOOC forum phenomenon.  As super degrees can reveal more latent information and recognize high quality threads as well as active participants, these parameters can be used to assess needs to improve forum settings and alleviate the problem of low forum participation. The proposed super degrees can be applied in social network domains for further research.  Definitions and algorithms of super degrees are provided and used for forum analysis. Super degrees can be applied to find high quality threads and active participants, which is beneficial to guide students to participate in these high quality threads and have a better understanding of knowledge MOOC provides.
Graphhopper: Multi Hop Scene Graph Reasoning for Visual Question Answering
Venue: SEMWEB
Year: 2021

Visual Question Answering (VQA) is concerned with answering free form questions about an image. Since it requires a deep semantic and linguistic understanding of the question and the ability to associate it with various objects that are present in the image, it is an ambitious task and requires multi modal reasoning from both computer vision and natural language processing. We propose Graphhopper, a novel method that approaches the task by integrating knowledge graph reasoning, computer vision, and natural language processing techniques. Concretely, our method is based on performing context driven, sequential reasoning based on the scene entities and their semantic and spatial relationships. As a first step, we derive a scene graph that describes the objects in the image, as well as their attributes and their mutual relationships. Subsequently, a reinforcement learning agent is trained to autonomously navigate in a multi hop manner over the extracted scene graph to generate reasoning paths, which are the basis for deriving answers. We conduct an experimental study on the challenging dataset GQA, based on both manually curated and automatically generated scene graphs. Our results show that we keep up with human performance on manually curated scene graphs. Moreover, we find that Graphhopper outperforms another state of the art scene graph reasoning model on both manually curated and automatically generated scene graphs by a significant margin.
The Characteristics of TCM Clinical Trials: A Systematic Review of ClinicalTrials.gov
Venue: Evidence based complementary and alternative medicine eCAM
Year: 2017

The aim of this review is to characterize current status of global TCM clinical trials registered in ClinicalTrials.gov.  We examined all the trials registered within ClinicalTrials.gov up to 25 September 2015, focusing on study interventions to identify TCM related trials, and extracted 1,270 TCM trials from the data set.  Overall, 691 (54.4% trials were acupuncture, and 454 (35.8% trials were herbal medicines. Differences in TCM trial intervention types were also evident among the specific therapeutic areas. Among all trials, 55.7% that were small studies enrolled <100 subjects, and only 8.7% of completed studies had reported results of trials. As for the location, the United States was second to China in conducting the most TCM trials.  This review is the first snapshot of the landscape of TCM clinical trials registered in ClinicalTrials.gov, providing the basis for treatment and prevention of diseases within TCM and offering useful information that will guide future research on TCM.
THE EFFECT OF NUMBER OF MEETINGS OF THE BOARD OF COMMISSIONERS, INDEPENDENT COMMISSIONERS, AUDIT COMMITTEE AND OWNERSHIP STRUCTURE UPON THE EXTENT OF CSR DISCLOSURE
Year: 2018

This study aims to investigate the characteristics of corporate governance that affect the level of Corporate Social Reponsibility (CSR) disclosure in the firms that have business operations in the manufacturing field in Indonesia. Characteristics of the corporate governance used in this study are the number of meetings conducted by the board directors, independent commissioners, audit committee, managerial along with foreign that have ownership, and ownership concentration. The level of work on CSR disclosure was measured by using company's social disclosure index (or later will be referred to as CSDI) based on standard used, namely Global Reporting Initiative (or later to be discussed as GRI) which will report standard items and then disclose the items in the firm's annual report. This study also used the levels of the firm's board commissioners, the composition or arrangement of women in the board, public along with institution ownership, and the control variables of this study was environment performance. The populations used in this study were firms that run business in the manufacture fieldwork sector that registered in Indonesian Stock Exchange (or known as IDX) in the 2014 2017. This disquisition using the method sampling purposive, the total population was reduced to 88 annual reports of firms that run mining business to be sampled in this research. The technique of data analysis used multiple regression method to determine whether there are relationship owned by the characteristics of corporate governance with CSR disclosure. The conclusion of the disquistion showed that composition of managerial ownership does not have significant and positive influence on the extent or level of CSR. The outcomes of the investigations also show that the two control variables have a significant influence on the extent or level of CSR.  audit committee, corporate social responsibility, ownership structure, board characteristics, composition of women on board, and environment performance
Utterance level Dialogue Understanding: An Empirical Study
Venue: ArXiv
Year: 2020

The recent abundance of conversational data on the Web and elsewhere calls for effective NLP systems for dialog understanding. Complete utterance level understanding often requires context understanding, defined by nearby utterances. In recent years, a number of approaches have been proposed for various utterance level dialogue understanding tasks. Most of these approaches account for the context for effective understanding. In this paper, we explore and quantify the role of context for different aspects of a dialogue, namely emotion, intent, and dialogue act identification, using state of the art dialog understanding methods as baselines. Specifically, we employ various perturbations to distort the context of a given utterance and study its impact on the different tasks and baselines. This provides us with insights into the fundamental contextual controlling factors of different aspects of a dialogue. Such insights can inspire more effective dialogue understanding models, and provide support for future text generation approaches. The implementation pertaining to this work is available at this https URL.
Sentence Meta Embeddings for Unsupervised Semantic Textual Similarity
Venue: ACL
Year: 2020

We address the task of unsupervised Semantic Textual Similarity (STS) by ensembling diverse pre trained sentence encoders into sentence meta embeddings. We apply, extend and evaluate different meta embedding methods from the word embedding literature at the sentence level, including dimensionality reduction (Yin and Schutze, 2016) generalized Canonical Correlation Analysis (Rastogi et al. 2015) and cross view auto encoders (Bollegala and Bao, 2018) Our sentence meta embeddings set a new unsupervised State of The Art (SoTA) on the STS Benchmark and on the STS12 STS16 datasets, with gains of between 3.7% and 6.4% Pearson's r over single source systems.
Le Tetanos Complication Rare d'une Plaie Cranio Cerebrale avec Empyeme
Year: 2020

RESUME Nous rapportons le cas d'un patient admis pour empyeme sur plaie cranio cerebrale, compliquee d'un tetanos et formulons des recommandations. Le patient de 35 ans, a ete admis pour troubles de la conscience suite a un trauma cranien. Devant une plaie frontale droite purulente suturee, une contracture des masseters, des crises paroxystiques tetaniques, ainsi qu'un scanner cranio encephalique montrant un empyeme extradural et sous cutane, le diagnostic de tetanos, complication tres rare, a ete evoque. Une prise en charge chirurgicale en urgence a ete effectuee avec un transfert dans le service d'infectiologie. L'evolution a ete favorable apres 2 semaines avec des suites simples.  We report a patient who survived tetanus as a complication of a craniocerebral wound with empyema. He was a 35 year old male who was admitted in coma, after a head trauma. Later, the wound became infected and he developed trismus, paroxysmal tetanic contractions. Cerebral CT showed epidural empyema. A surgical act was performed. The patient eventually recovered two weeks later.
Student nurse mentoring: an evaluative study of the mentor's perspective.
Venue: British journal of nursing
Year: 2017

An evaluative study aimed to capture the 'mentor voice' and provide an insight into the mentoring role from the perspective of the nurse mentor. Participants from each of the four fields of nursing practice were asked to comment on the satisfying and frustrating aspects of their mentoring role. The narrative data gleaned from the evaluation were qualitatively analysed and subsequently organised into key themes around the student mentor relationship and the clinical environment. Given that the landscape of nurse education is set to change, in terms of new standards from the professional bodies and the political drivers, not to mention the changing profile of the student nurse, it is hoped that the findings may help to shape the relationship between the mentor, the student and the higher education institution.
SMEs internationalization: The role of product innovation, market intelligence, pricing and marketing communication capabilities as drivers of SMEs' international performance
Year: 2020

Small and medium enterprise (SME) competitive advantage has been recognized as an important topic for researchers dealing with SME internationalization. Previous studies have long discussed the role of firm competitive advantage as a determinant of international performance, but there are few studies analyzing the determinants of firm competitive advantage and its potential mediating role in the relationship between organizational capabilities and SMEs' international performance. In this paper, we hypothesize four essential export capabilities (market intelligence, product innovation, pricing, and marketing communication) as determinants of competitive advantage for exporting SMEs. Based on a sample of 119 active exporting Malaysian SMEs and using partial least squares (PLS) structural equation modeling, the results revealed that three of the mentioned capabilities lead to competitive advantage. In addition, results indicated that competitive advantage only acts as a mediator between pricing capability and SMEs' international performance. The main conclusions of this investigation can be valuable to SMEs and startups that intend to explore or exploit opportunities in foreign markets.
PEMBELAJARAN BAHASA ARAB BERBASIS PERMAINAN EDUKATIFSEBAGAI PENINGKATAN PENGUASAAN MUFRADAT SISWA KELASVIII(Studi Eksperimen di MTs N 5 Sleman Yogyakarta Tahun Ajaran 2018/ 2019)
Year: 2019

Pembelajaran Bahasa Arab Berbasis Permaianan Edukatif Sebagai Peningkatan Penguasaan Mufradat Siswa Kelas VIII (Studi Eksperimen di MTs N 5 Sleman Tahun Ajaran 2018/ 2019)" Skripsi. Jurusan Pendidikan Bahasa Arab Fakultas Ilmu Tarbiyah dan Keguruan UIN Sunan Kalijaga Yogyakarta. Penelitian ini bertujuan untuk mengetahui langkah langkah penggunaan permainan edukatif dalam pembelajaran bahasa Arab khususnya bingo kata, pindah gambar dan berburu kata dan ada atau tidaknya perbedaan yang signifikan antara hasil belajar mufradat kelas kontrol dan kelas eksperimen siswa kelas VIII MTs N 5 Sleman Yogyakarta tahun ajaran 2018/ 2019. Penelitian ini merupakan penelitian kuantitatif, adapun jenis penelitiannya adalah eksperimen. Metode yang digunakan dalam pengumpulan data yaitu menggunakan teknik wawancara, dokumentasi dan tes. Penelitian ini menggunakan model pretest posttest control group design. Obyek yang digunakan yaitu siswa kelas VIII C sebagai kelas kontrol dan siswa kelas VIII D sebagai kelas eksperimen. Adapun proses analisis data pada penelitian ini menggunakan uji "t" Hasil penelitian ini menunjukkan bahwa terdapat perbedaan yang signifikan antara penguasaan mufradat kelas kontrol dengan kelas eksperimen. Hal ini dapat dilihat dari rata rata hasil pretest siswa kelas kontrol sebesar 53,00 dan kelas eksperimen sebesar 53,70. Rata rata hasil posttest kelas kontrol sebesar 64,83 dan kelas eksperimen sebesar 75,70, terdapat perbedaan sebesar 10,87. Uji "t" posttest diperoleh nilai signifikansi sebesar 0.00 <0,05) yang artinya terdapat perbedaan yang signifikan antara hasil belajar kelas kontrol dan kelas eksperimen. Sehingga, permainan edukatif dapat dijadikan sebagai solusi alternatif dalam meningkatkan penguasaan mufradat bahasa Arab.  Pembelajaran Bahasa Arab, Permainan Edukatif, Mufradat.
Alienated: Immigrant Rights, The Constitution, and Equality in America
Venue: Perspectives on Politics
Year: 2006

Immigrant Rights, The Constitution, and Equality in America. By Victor C. Romero.  New York University Press, 2005.  Romero is convinced that the Constitution, properly understood, extends to all people living in the United States, citizens and noncitizens alike, the same constitutional and statutory rights. That is the theme of his book. Romero concedes that the federal judiciary has failed, as often as not, to provide this parity in part because it vacillates uneasily between the so called personhood and membership paradigms between guaranteeing every person, regardless of immigration status, due process and equal protection of the laws, and deferring almost reflexively to the political branches whenever it is confronted with issues involving the admission or deportation of aliens.
Bronchiolitis
Venue: Kendig's Disorders of the Respiratory Tract in Children
Year: 2018

Acute viral bronchiolitis is a common viral lower respiratory tract infection in young children. Most typically caused by respiratory syncytial virus in 70% of cases, the condition lasts for 4 to 7 days, with a prolonged cough in many. Children with comorbidity, particularly those born prematurely or with significant congenital heart disease, are at risk of more severe disease. Nasal obstruction progresses over 3 to 4 days to difficulty with feeding and increased work of breathing with hypoxemia. Crackles and/or wheeze may be auscultated. Apnoea may be a presenting sign in those less than 3 months of age. Viral load is highest at peak of symptoms and in those with more severe disease. Approximately 2% to 3% of all children are admitted to hospital with bronchiolitis. The differential diagnosis may include bacterial pneumonia, congenital lesions of the lung or heart, or an interstitial lung disease. There are no effective treatments, and admission is for feeding support (by nasogastric or intravenous fluids) or treatment of hypoxemia. Critical care support is required for some infants experiencing respiratory failure, though mortality rates remain unchanged. Practice within and between countries varies significantly and alignment of practice is a common goal of guidelines. Vaccines for RSV are in advanced development, as are several antiviral therapies for RSV. In most children, acute symptoms improve within 5 to 7 days and cough by 2 weeks. Recurrent wheeze is common following acute bronchiolitis and a good association with a diagnosis of asthma in childhood.
A level of analysis issue in resource consumption and environmental behavior research: A theoretical and empirical contradiction.
Venue: Journal of environmental management
Year: 2020

Behavioral theories have much to offer researchers and policy makers who seek sustainable resource management within households. However, much research on household resource consumption applies theories of the individual to understand the behavioral patterns of what are very often groups of people cohabiting in a particular dwelling. This misalignment of levels of analysis leads to erroneous empirical results and conclusions, and thereby less effective policy and management actions. We address this issue by first detailing the nature of the problem; illustrating its pervasiveness in research on resource consumption behaviors; offering some ways forward by drawing on research on group dynamics; and exploring new ways of thinking about some existing concepts in resource consumption and conservation with the goal of developing insights from a household level perspective. We suggest that researchers seek a multi level understanding of consumption and conservation in future research, as this could lead to theories and evidence to support group level interventions that target behaviors in a household setting, which is likely to be more effective than existing individualistic approaches.