nils-herrmann/clean_scirepeval huggingface dataset:
Conceptualizing the United States China Security Dilemma
Year: 2018

This chapter contextualizes the security dilemma concept to view contemporary United States China relations. It begins with a brief theoretical overview of the security dilemma theory that includes the concepts' shortcomings, misuses, and contemporary revisions. Next, it contextualizes the application of the security dilemma by scholars and policy makers to elucidate United States China security relations and, in particular, the emergences of a 'China rise' discourse. Finally, it proffers a conceptual framework of analysis for applying the dilemma concept to view United States China military and defense relations during the Obama era, and addresses several gaps in the existing literature.
A Formal Framework for Gate Level Information Leakage Using Z3
Venue: 2020 Asian Hardware Oriented Security and Trust Symposium (AsianHOST)
Year: 2020

Ahstract The hardware intellectual property (IP) cores from untrusted vendors are widely used, which has raised security concerns for system designers. Although formal methods provide powerful solutions for detecting malicious behaviors in hardware, the participation of manual work prevents the methods from practical applications. Information Flow Tracking (IFT) is a powerful approach to prevent sensitive information leakage. However, existing IFT solutions are either introducing overhead in hardware or lacking practical automatic working procedures. To alleviate these challenges, we propose a framework that fully automates information leakage detection in the gate level of hardware. This framework introduces Z3, an SMT solver, in checking the violation of the confidentiality automatically. On the other hand, a parser converting the gate level hardware to the formal model is developed to further remove the manual workload. To validate the effectiveness, the proposed solution is tested on 11 gate level netlist benchmarks. The Trojans leaking information from circuit outputs can be automatically detected. We also account for time consumption during the whole working procedure to show the efficiency of the proposed approach.
A Happy Life: Exploring How Job Stress, Job Involvement, and Job Satisfaction Are Related to the Life Satisfaction of Chinese Prison Staff
Venue: Psychiatry, psychology, and law an interdisciplinary journal of the Australian and New Zealand Association of Psychiatry, Psychology and Law
Year: 2018

Working in prisons is a demanding career. While a growing number of studies have explored the predictors of job stress, job involvement, and job satisfaction, very few studies have examined how job stress, job involvement, and job satisfaction effect prison staff life satisfaction. Moreover, past studies on prison staff life satisfaction have all been conducted among those working in the United States. The current study examined how job stress, job involvement and job satisfaction were associated with satisfaction with life among surveyed staff at two Chinese prisons. Job involvement and job satisfaction had positive effects on life satisfaction, while job stress had a negative effect.
Individual Differences Associated with Emotional and Behavioral Responses to Ambiguous Social Situations in which Rejection Might be Inferred
Venue: The Journal of general psychology
Year: 2016

This study sought to examine the extent to which undergraduates' experiences with and attitudes relevant to rejection may be associated with their emotional and behavioral responses to ambiguous social situations in which rejection might be inferred. Undergraduate students completed questionnaires that assessed their experiences with and attitudes relevant to being rejected. Next, each participant read six hypothetical scenarios that described various situations that could be interpreted as interpersonal rejection. Following each scenario, participants completed questionnaires that assessed their emotional and behavioral responses to the hypothetical situation. Analyses revealed that the participants' experiences with rejection (and, to a lesser extent, their rejection relevant attitudes) were associated with a negative emotional response and some negative behavioral responses. In sum, when another individual's interpersonal behavior has an uncertain intent, undergraduates' prior experiences with rejection may be especially important in determining the extent to which they feel and act as if they have been rejected.
Morphological Changes in Pharyngeal Airway Space after Mandibular Setback Surgery with and without Le Fort I Osteotomy in skeletal Class III Patients
Year: 2006

The purpose of this study was to compare the changes in pharyngeal airway space after mandibular setback surgery with those after two jaw surgery in skeletal Class III patients. Subjects were selected from consecutive patients with Class III patients treated with orthognathic surgery, and divided into two groups: 13 patients received mandibular setback surgery (MS group) and 8 patients received two jaw surgery (TW group) First, jaw relationship, head posture, tongue positionand pharyngeal airway space were compared between two lateral cephalograms takenbefore surgery (TO) and one or more year after surgery (T1) in each group. Then, the surgical changes occuring from TO to T1 (T1 TO) were calculated and statistically compared between the two groups. As a result, jaw relationships were improved significantly in both groups after the surgery since ANB increased from TO to T1 in both groups, 5.3 degrees in the MS group and 7.1 degrees in the TW group, respectively. The head posture and tongue position did not appear to change significantly due to the surgical intervention between the two groups. The palatalpharyngeal space increased significantly in the TW group, while there was no significant post operative difference in the MS group. On the contrary, the superior posterior pharyngeal space and middle pharyngeal space decreased significantlyin the MS group, while there was no significant post operative difference in theTW group. All these changes showed significant differences between the two groups. On the other hand, the epiglottic pharyngeal space decreased in both groups, and the ratio was smaller in the TW group than in the MS group. In conclusion, our results indicated that two jaw surgery actually seems to improve the jaw relationship compared to mandibular setback surgery, while the pharyngeal airway space behind the soft palate is maintained and middle airway space except for thoseis not narrower than in mandibular setback surgery. Also, the results suggest wehave to take into consideration that the pre operative pharyngeal airway, as well as facial pattern and stability after surgery, affects the post surgical course in orthognathic surgery of skeletal Class III patients though narrowing of thepharyngeal airway space did not cause breathing disorders.
Structural Correspondence Learning for Cross Domain Sentiment Analysis in Brazilian Portuguese
Venue: 2019 8th Brazilian Conference on Intelligent Systems (BRACIS)
Year: 2019

Over the years, many approaches to the cross domain task in Sentiment Analysis have been proposed. The vast majority of such approaches concerns corpora in English language. Following a different methodology, this paper proposes three novel product review datasets written in Brazilian Portuguese. These datasets are freely available and they cannot only be used as benchmark datasets by other researchers, but also to perform domain adaptation comparative assessments. In addition, the entire creation process for the proposed datasets is described. Another contribution resides in the first experimental evaluation of the state of the art algorithm Structural Correspondence Learning (SCL) on cross domain sentiment analysis (domain adaption) Furthermore, two other variants of the original SCL algorithm are evaluated on the proposed datasets and their performance are compared against each other.
China's iGeneration Cinema and Moving Image Culture for the Twenty First Century
Year: 2014

Foreword, Chris Berry Acknowledgements Notes on Transliteration INTRODUCTION: China's iGeneration Cinema, Keith B. Wagner, Tianqi Yu, Luke Vulpiani PART I. New Technologies CHAPTER 1 Tianqi YU "Toward a Communicative Practice: Female First Person Documentary in Twenty first Century China" CHAPTER 2 Paola VOCI "Quasi Documentary, Cellflix, and Web Spoofs: Chinese Movies' Other Visual Pleasures" CHAPTER 3 Weihua WU "Individuality, State Discourse, and Visual  The Imagination and Practices of the iGeneration in Chinese Animation" CHAPTER 4 Bingfeng DONG "Cinema of Exhibition: Film in Chinese Contemporary Art" PART II. Aesthetics CHAPTER 5 Luke VULPIANI "Goodbye to the Grim Real, Hello to What Comes Next: The Moment of Passage from the Sixth Generation to the iGeneration" CHAPTER 6 Ling ZHANG "Digitizing City Symphony, Stabilizing the Shadow of Time: Montage and Temporal Spatial Construction in San Yuan Li" CHAPTER 7 Dan GAO "From Pirate to Kino eye: A Genealogical Tale of Film Re Distribution in China" CHAPTER 8 Keith B. WAGNER "Xue Jianqiang as Reckless Documentarian: Underdevelopment and Juvenile Crime in post WTO China" PART III. Social Engagement CHAPTER 9 Yiman WANG "Of Animals and Men: Toward A Theory of Docu ani mentary" CHAPTER 10 Ying QIAN "Working with Rubble: Montage, Tweets, and the Reconstruction of an Activist Cinema" CHAPTER 11 Jia TAN "Provincializing the Chinese Mediascape: Cantonese Digital Activism in Southern China" PART IV. Platforms and Politics CHAPTER 12 Jeesoon HONG with Matthew D. JOHNSON "Shanghai Expo and Screen Spaces: Big Screens and New Collectivity" CHAPTER 13 Ma RAN "Regarding the Grassroots Chinese Independent Film Festivals: Regional Assemblage and Abnormal Film Networking" CHAPTER 14 Matthew D. JOHNSON "Wu Wenguang and the NGO Aesthetic" CHAPTER 15 Xiaomei CHEN "The Cinematic Deng Xiaoping: Reform or Restoration?" PART V: Online Audiences CHAPTER 16 Ralph PARFECT "You Must Believe There is Such a Person in This World" Internet Contention of Zhang Yimou's Sexual Storytelling in Under the Hawthorn Tree/Shanzhashu Zhi Lian" CHAPTER 17 Xiao LIU "From the Glaring Sun to the Flying Bullets: The Dilemma of Elliptical Memories in "post " Era Chinese Cinema" Notes on Contributors Index
Quantifying the health impacts of ambient air pollutants: methodological errors must be avoided
Venue: International Journal of Public Health
Year: 2015

Assessing how much ambient air pollution contributes to premature deaths in Europe (Heroux et al. 2015) is certainly important. However, while the public health and policy challenge of air pollution is beyond dispute, the quantitative results may be not. Key results by Heroux and colleagues relied on a transformation of RR estimates (given in their Table 1) into numbers of premature deaths (reported on in the section 'Application of HRAPIE recommendations and implications for European Union air policy' However, this approach relies on a methodological error (Greenland 1999) Greenland showed that a calculation based on RR estimates, as performed in the EU research project, does estimate excess cases numbers but it does not estimate the number of premature cases or etiological cases. He illustrated the underlying problem with an application of occupational epidemiology to compensation decisions. We note that his statistical arguments apply to environmental studies too. Importantly, Greenland showed that the difference between the number of excess cases and the number of premature cases can be substantial and he wrote that this 'methodological error has become a social problem' In this vein, estimated numbers of premature deaths to be related to long term PM2.5 and short term O3 in year 2010 cannot be justified by the analyses the authors relied upon. That this methodological error is becoming somewhat pervasive (Erren and Morfeld 2011) is also evinced by recent analyses (Lim et al. 2012) referenced by Heroux et al. (2015) The formulas on p. 2237 support that the arguments of Greenland apply: Lim and colleagues relied exclusively on excess case statistics which do not allow to 'calculate the proportion of deaths or disease burden caused by specific risk factors' Calculations of years of life lost due to exposure potentially suffer from similar problems (Morfeld 2004) Heroux and colleagues concluded: 'The project results provide the scientific basis for formulating policy actions to improve air quality and thereby reduce the burden of disease associated with air pollution in Europe' To factually arrive at such much needed empirical basis, methodological errors must be addressed and avoided. Disconcertingly, ignoring possible impacts of identified errors may jeopardize important burden of disease research.
Optimal qualifications, staffing and scope of practice for first responder nurses in disaster.
Venue: Journal of clinical nursing
Year: 2012

To explore: the selection criteria for first responder nurses during disaster; scope of practice for disaster relief nurses; appropriate nurse medical practitioner ratio at the disaster site.  Nurses are key members of disaster response medical teams. A scarcity of literature exists relating to nurses attending disasters, their qualifications, experience, scope of practice and appropriate staffing ratios.  Qualitative and quantitative data were collected via survey using self developed questionnaires. Participants were 95 medical workers, who participated in emergency rescue teams following the 2008 Wenchuan earthquake in China. A response rate of 93*7% achieved.  The questionnaire included questions relating to nurses: previous experience in disaster relief; scope of practice at the disaster site; optimal ratio of medical practitioners to nurses in disaster relief teams.  Following a disaster, first responder nurses considered most suitable were those with at least three years clinical experience, particularly in the emergency department or having emergency rescue skills training. The scope of practice for disaster relief nurses was different to that of nurses working in a hospital. The majority of participants reported insufficient nurses during the relief effort, concluding the optimal ratio of medical practitioner to nurse should range between 1:1 1:2 depending on the task and situation.  At the scene of disaster, the preferred first responder nurses were nurses: with emergency rescue training; experienced in the emergency department; with at least three years clinical experience. The scope of practice for first responder nurses needs to be extended. Appropriate nurse medical practitioner ratios in responding medical teams is dependant on the specific medical requirements of the disaster.  TO CLINICAL PRACTICE The recommendations made by this study provide a guide to ensure that nurses can contribute effectively as essential members of first responder emergency disaster relief teams.
Maximum Unbiased Validation (MUV) Data Sets for Virtual Screening Based on PubChem Bioactivity Data
Venue: J. Chem. Inf. Model.
Year: 2009

Refined nearest neighbor analysis was recently introduced for the analysis of virtual screening benchmark data sets. It constitutes a technique from the field of spatial statistics and provides a mathematical framework for the nonparametric analysis of mapped point patterns. Here, refined nearest neighbor analysis is used to design benchmark data sets for virtual screening based on PubChem bioactivity data. A workflow is devised that purges data sets of compounds active against pharmaceutically relevant targets from unselective hits. Topological optimization using experimental design strategies monitored by refined nearest neighbor analysis functions is applied to generate corresponding data sets of actives and decoys that are unbiased with regard to analogue bias and artificial enrichment. These data sets provide a tool for Maximum Unbiased Validation (MUV) of virtual screening methods. The data sets and a software package implementing the MUV design workflow are freely available at http:/www.pharmchem.tu bs.de/lehre/baumann/MUV.html.
A critique of the racialised and neo colonial politics of listening: Ousmane Sembene's La Noire de (1966)
Year: 2020

This article considers one of the most canonical films in Francophone African cinema, Ousmane Sembene's La Noire de. (1966) through the lens of listening to reveal new dimensions of the film's neo colonial critique. Applying concepts developed in inquiries into racialised politics of listening in the United States context, this article shows how the film both exposes and critiques Diouana's employers' privilege to selectively decide what sound matters. Reading the film through the lens of listening also adds new resonance to the mask, and, in turn, the sequences in which it plays a major role. Namely, exploring the mask's larger cultural significance it is an initiation mask associated with the sulaw class of the Bamana kore society recasts, in part, Diouana's employment as her own initiation into global political orders, whose politics of listening do not match her expectations. Through her suicide, Diouana begins to dismantle the racialised politics to which she is subjected in France and forces, if only temporarily, Monsieur to experience life outside his own comfortable ways of listening. Ultimately, the article contends that the film challenges its audience to consider its own ways of listening and, perhaps, the politics of listening surrounding the film itself.
Greedy Search with Probabilistic N gram Matching for Neural Machine Translation
Venue: EMNLP
Year: 2018

Neural machine translation (NMT) models are usually trained with the word level loss using the teacher forcing algorithm, which not only evaluates the translation improperly but also suffers from exposure bias. Sequence level training under the reinforcement framework can mitigate the problems of the word level loss, but its performance is unstable due to the high variance of the gradient estimation. On these grounds, we present a method with a differentiable sequence level training objective based on probabilistic n gram matching which can avoid the reinforcement framework. In addition, this method performs greedy search in the training which uses the predicted words as context just as at inference to alleviate the problem of exposure bias. Experiment results on the NIST Chinese to English translation tasks show that our method significantly outperforms the reinforcement based algorithms and achieves an improvement of 1.5 BLEU points on average over a strong baseline system.
Neural Network Based Brain Tumor Detection Using Wireless Infrared Imaging Sensor
Venue: IEEE Access
Year: 2019

Now a days image processing placed an important role for recognizing various diseases such as breast, lung, and brain tumors in earlier stage for giving the appropriate treatment. Presently, most cancer diagnosis worked according to the visual examination process with effectively. Human visual reviewing of infinitesimal biopsy pictures is exceptionally tedious, subjective, and conflicting due to between and intra onlooker varieties. In this manner, the malignancy and it's compose will be distinguished in a beginning time for finish treatment and fix. This brain tumor classification system using machine learning based back propagation neural networks (MLBPNN) causes pathologists to enhance the exactness and proficiency in location of threat and to limit the entomb onlooker variety. Moreover, the technique may assist doctors with analyzing the picture cell by utilizing order and bunching calculations by recoloring qualities of the phones. The different picture preparing steps required for disease location from biopsy pictures incorporate procurement, upgrade, and division; include extraction, picture portrayal, characterization, and basic leadership. In this paper, MLBPNN is analyzed with the help of infra red sensor imaging technology. Then, the computational multifaceted nature of neural distinguishing proof incredibly diminished when the entire framework is deteriorated into a few subsystems. The features are extracted using fractal dimension algorithm and then the most significant features are selected using multi fractal detection technique to reduce the complexity. This imaging sensor is integrated via wireless infrared imaging sensor which is produced to transmit the tumor warm data to a specialist clinician to screen the wellbeing condition and for helpful control of ultrasound measurements level, especially if there should arise an occurrence of elderly patients living in remote zones.
Factors influencing to the implementation success of big data analytics: A systematic literature review
Venue: 2017 International Conference on Research and Innovation in Information Systems (ICRIIS)
Year: 2017

Big data analytics (BDA) readiness factors have been widely researched; nevertheless, few have investigated the impact and success factors of BDA implementation in the organizational context. The relevance and quality of BDA outcomes have been a significant concern to the organizational leaders in supporting them for strategic decision making. To that end, the objective of this study is twofold. Firstly, it investigates the factors that influencing the success of BDA implementation for effective decision making. Secondly, this study adds to the body of knowledge in the information system (IS) domain, especially with its focus on BDA implementation packages. Based on 18 selected papers, this review has established 10 influencing factors that may influence the success of BDA implementation, therefore, contribute to the practice and research of BDA domain and its effectiveness towards the organizational performance enhancement.
Evaluation and Classification of the Brain Tumor MRI using Machine Learning Technique
Year: 2019

The proposed work implements a Machine Learning Technique (MLT) to evaluate and classify the tumor regions into low/high grade based on the analysis carriedout with the brain MRI slices. The MLT implements a sequence of procedures, such as pre processing, post processing and classification procedures. The pre processing enhances the tumor section based on Social Group Optimization (SGO) algorithm assisted Fuzzy Tsallis thresholding. The robustness of the proposed thresholding is also confirmed by considering the noise corrupted MRI slices. The post processing implements the Level Set Segmentation (LSS) to mine the tumor region. The performance of the LSS is validated with segmentation procedures, like Active Contour (ACS) and Chan Vese (CVS) technique. The fundamental data of the tumor section is then extracted using the Gray Level Co occurrence Matrix (GLCM) and most dominating features are then chosen with a statistical test. Finally, a two class classifier is implemented using the Support Vector Machine with Radial Basis Function (SVM RBF) kernel and its performance is then validated with other classifiers, like the Random Forest and k Nearest Neighbor. The outcome of the proposed work confirms that, implemented tool with the SVM RBF helps to achieve an accuracy of >94% on the benchmark BRATS2015 database.