nils-herrmann/clean_scirepeval huggingface dataset:
Modified Ubess and CA 125 Endometriosis Severity Prediction Model Protocol
Year: 2020

The Ultrasound Based Endometriosis Staging System (UBESS) has demonstrated accuracy in predicting the laparoscopic skill required for maximum cytoreductive endometriosis surgery. However, UBESS does not account for the need for ureterolysis, an advanced laparoscopic skill, nor does it differentiate between isolated peritoneal disease and no disease. The Modified UBESS and Ca 125 endometriosis severity prediction model aims to account for these short falls by incorporating ultrasound (ovarian fixation, endometrioma, uterosacral endometriosis) and biochemical (Ca 125) markers to improve the prediction of intraoperative ureterolysis and isolated peritoneal disease, thereby improving the UBESS accuracy in predicting surgical complexity.  This prospective study assesses the diagnostic accuracy of the endometriosis severity prediction model in predicting the ASRM endometriosis stage (American Society of Reproductive Medicine) and AGES laparoscopic skill (Australasian Gynaecological Endoscopy Surgery) required for maximum cytoreductive surgery for women with suspected endometriosis undergoing laparoscopic surgery at Liverpool, Campbelltown and Nepean Hospital over a 5 year period.   Participants will undergo a standardised history and Ca 125, followed by a 5 domain TVUS (transvaginal ultrasound) by an expert sonologist. Women will be assigned a modified UBESS score, which incorporates the likelihood of requiring ureterolysis. All women will undergo laparoscopic surgery within 6 months of their TVUS and Ca 125, with ASRM stage and AGES skill recorded.  The diagnostic accuracy of our model in predicting the ASRM stage and AGES skill required for maximum cytoreductive surgery will be calculated.  If this study demonstrates that our model is effective in preoperatively predicting the ASRM stage and AGES skill required for maximum cytoreductive endometriosis surgery, after external validation, it can be implemented worldwide to reduce the risks and health care costs associated with multiple laparoscopic surgeries for women with suspected endometriosis.
Probability cueing of singleton distractor locations in visual search: priority map or dimension based inhibition?
Year: 2018

Observers can learn the likely locations of salient distractors in visual search, reducing their potential to capture attention (Ferrante et al. 2018; Sauter et al. 2018a; Wang Theeuwes, 2018a) While there is agreement that this involves positional suppression of the likely distractor location(s) it is contentious at which stage of search guidance the suppression operates: the supra dimensional priority map or feature contrast signals within the distractor dimension. On the latter account, advocated by Sauter et al. target processing should be unaffected by distractor suppression when the target is defined in a different (non suppressed) dimension to the target. At odds with this, Wang and Theeuwes found strong suppression not only of the (color) distractor, but also of the (shape) target when it appeared at the likely distractor location. Adopting their paradigm, the present study ruled out that increased cross trial inhibition of the single frequent (frequently inhibited) as compared to any of the rare (rarely inhibited) distractor locations is responsible for this target location effect. However, a reduced likelihood of the target appearing at the frequent vs. a rare distractor location contributes to this effect: removing this negative bias abolished the cost to target processing with increasing practice, indicative of a transition from priority map to dimension based and thus a flexible locus of distractor suppression.  The present study examined whether and how 'knowledge' of the likely location(s) where the distractors occur helps the observer to mitigate distraction. The results confirmed that observers can learn to suppress distracting stimuli at likely locations. Further, they showed that, the suppression may occur at different levels in the hierarchically organized visual system where the priorities of which objects to be attended in the environment are determined.
Regeneration of Cu/SAPO 34(MO) with H2O only: too good to be true?
Year: 2020

The performance failure of Cu/SAPO 34 material used as an NH3 SCR catalyst at low temperature in the presence of water has caused a gradual withdrawal of its usage from the market. There is an urgent need to clearly understand its deactivation mechanism and to find a way to regenerate the Cu/SAPO 34 catalyst material. Interestingly and surprisingly, we have discovered that, under certain conditions, 10% H2O can regenerate a previously deactivated Cu/SAPO 34(MO) as long as its zeolite structure is maintained. By using experimental observations of NH3 SCR reaction, solid state NMR, NO DRIFTS, and in situ H2 TPR, a mechanism is proposed which can explain both the deactivation and regeneration of Cu/SAPO 34(MO) We propose that the transformation of Si(4OAl) and Si(3OAl) to (2Al)Si(2OH) and (3Al)Si(OH) and the Si condensation in the pores of the framework, which result from H2O exposure, are responsible for the deactivation of Cu/SAPO 34(MO) We suggest that the formation of condensed Si which results in Si clusters, hinders the mobility of the linear complex, [Cu (NH3)2] which is the active species during the low temperature NH3 SCR reaction. Moreover, we propose a regeneration mechanism when Cu/SAPO 34(MO) is exposed to 10% H2O, where the Si clusters are transformed back to Si O H bonds, and thereafter transferred back to the framework. This can explain the regeneration of deactivated Cu/SAPO 34(MO)
A Contrastive Study of Cohesion in English and Chinese
Year: 2014

Cohesion, as the primary means of reaching discourse coherence, is one of the most important aspects of textual linguistics. Both English and Chinese employ cohesive devices, but they belong to different language families and the ways of their thought are different from each other, so there exists much dissimilarity between Chinese cohesion and English cohesion. A contrastive study on the cohesion in Chinese and English is of much significance for the research of the contrastive linguistics. This thesis mainly explores and studies the differences of Chinese discourse cohesion and English discourse cohesion. It is hoped that a better understanding can be obtained through this study.
Exploiting Ransomware Paranoia For Execution Prevention
Venue: ICC 2020 2020 IEEE International Conference on Communications (ICC)
Year: 2020

Ransomware attacks cost businesses more than $75 billion/year, and it is predicted to cost $6 trillion/year by 2021. These numbers demonstrate the havoc produced by ransomware on a large number of sectors and urge security researches to tackle it. Several ransomware detection approaches have been proposed in the literature that interchange between static and dynamic analysis. Recently, ransomware attacks were shown to fingerprint the execution environment before they attack the system to counter dynamic analysis. In this paper, we exploit the behavior of contemporary ransomware to prevent its attack on real systems and thus avoid the loss of any data. We explore a set of ransomware generated artifacts that are launched to sniff the surrounding. Furthermore, we design, develop, and evaluate an approach that monitors the behavior of a program by intercepting the called Windows APIs. Consequently, we determine in real time if the program is trying to inspect its surrounding before the attack, and abort it immediately prior to the initiation of any malicious encryption or locking. Through empirical evaluations using real and recent ransomware samples, we study how ransomware and benign programs inspect the environment. Additionally, we demonstrate how to prevent ransomware with a low false positive rate. We make the developed approach available to the research community at large through GitHub to strongly promote cyber security defense operations and for wide scale evaluations and enhancements.
Nothing Like Living with a Family: A Qualitative Study of Subjective Well Being and its Determinants among Migrant and Local Elderly in Dongguan, China
Venue: International journal of environmental research and public health
Year: 2019

Chinese economic development has led to a significant rise in internal migration over the last 20 years, including large numbers of elderly. When elderly Chinese people migrate, they still register their residency to their place of origin and often do not register with the new administrative office at the destination due to the household registration (hukou) system in China. Thus, most of these migrant elderly do not receive full social services, possibly leading to poor subjective well being. This study aims to qualitatively examine the level of subjective well being and its determinants among migrants and local elderly in Dongguan City of Guangdong province, one of the most rapid economically developing areas in China. We also present the results of in depth interviews among 27 elderly, 15 elderly migrants and 12 local elderly living in Dongguan. The results reveal that the overall subjective well being of the two groups were good. Most migrants believed their well being had remained stable or even improved over time due to family reunion and a better physical environment. Elderly's most valuable needs and the main reason of migration is family reunion; however, inadequacy of social support, including community support and government support (e.g. gift during holiday season, free health examination, healthcare expenditure reimbursement) cannot be neglected for maintaining a good level of well being. The well being of migrant elderly can be further enhanced by promoting social services and welfare, recreational activities, and enhancing healthcare reimbursement in their new home.
BILIMSEL CALISMALARIN GELECEGIN GIYIM TASARIMINA OLASI ETKILERI
Venue: Inonu Universitesi Sanat ve Tasarim Dergisi
Year: 2019

Kimyasal boyalarin kesfedilmesi, rejenere liflerin gelistirilmesi ve cozgulu orme teknolojisi moda dunyasi uzerinde onemli etkiler yaratmistir. Yakin zamanda gelistirilen teknikler ve malzemeler moda tasarimlarini etkilemeye devam etmektedir. Son yillarda dijital baski teknolojileri, tekstil baski uretiminin dinamiklerini ve basili tasarimlarin tarzini degistirmistir. Moda tasarimcilari uc boyutlu yazicilar kullanarak urettikleri aksesuarlari ve giysileri defilelerinde kullanmaktadir. Biyomateryaller, nanoteknoloji, mekatronik, nesnelerin interneti, mikro islemciler, yapay zeka, hologram teknolojileri, enerji depolama sistemleri, gelecegin sosyal hayatini ve ekonomisini degistirecek teknolojiler olarak gorulmektedir. Bu alanlarda yapilan arastirmalarin gelecegin moda tasarimlarini ve moda endustrisini etkileyecegi aciktir. Makale; moda tasarimcilari, tekstil tasarimcilari, trend arastirmacilari ve tekstil sektorune hizmet veren kurulusular icin gelecege yonelik bir vizyon sunmayi amaclamaktadir. Farkli bilim alanlarinda gerceklestirilen ve giyim endustrisiyle iliskilendirilen arastirmalardan orneklerin aktarildigi makalede, gelecegin moda dunyasinda yasanacak degisimler hakkinda ongoruler gelistirilmektedir. Ilk bolumunde gelecegin uretim anlayisini degistirecegi dusunulen yeni uretim teknolojilerinin aktarilmistir. Ikinci bolumde yeni nesil malzemeler biyomateryaller ve nanomateryaller basliklari altinda aciklanmistir. Ucuncu bolumde ise giyime adapte dilebilen teknolojilere yer verilmistir. Son bolumde ise gunumuzde gerceklesen arastirma ve buluslarin, gelecegin kullanicisinin gunluk yasamini nasil etkileyecegi kurgusu uzerinden moda endustrisine dair futurist bir vizyon olusturulmustur.
Prevalence of asthma among Chinese adolescents living in Canada and in China
Venue: Canadian Medical Association Journal
Year: 2008

Studies of the prevalence of asthma among migrating populations may help in identifying environmental risk factors.  We analyzed data from Vancouver, Canada, and from Guangzhou, Beijing and Hong Kong, China, collected during phase 3 of the International Study of Asthma and Allergies in Childhood. We subdivided the Vancouver adolescents according to whether they were Chinese immigrants to Canada, Canadian born Chinese or Canadian born non Chinese. We compared the prevalence of asthma and wheezing among Chinese adolescents born in Canada, Chinese adolescents who had immigrated to Canada and Chinese adolescents living in China.  Of 7794 Chinese adolescents who met the inclusion criteria, 3058 were from Guangzhou, 2824 were from Beijing, and 1912 were from Hong Kong. Of 2235 adolescents in Vancouver, Canada, 475 were Chinese immigrants, 617 were Canadian born Chinese, and 1143 were Canadian born non Chinese. The prevalence of current wheezing among boys ranged from 5.9% in Guangzhou to 11.2% in Canadian born Chinese adolescents. For girls, the range was 4.3% in Guangzhou to 9.8% in Canadian born Chinese adolescents. The prevalence of ever having had asthma ranged from 6.6% to 16.6% for boys and from 2.9% to 15.0% for girls. Prevalence gradients persisted after adjustment for other environmental variables (odds ratios for ever having had asthma among Canadian born Chinese compared with native Chinese in Guangzhou: 2.72 [95% confidence interval 1.75 4.23] for boys and 5.50 [95% confidence interval 3.21 9.44] for girls; p 0.001 for both) Among Chinese adolescents living in Vancouver, the prevalence of ever wheezing increased with duration of residence, from 14.5% among those living in Canada for less than 7 years to 20.9% among those living their entire life in Canada. The same pattern was observed for the prevalence of ever having had asthma, from 7.7% to 15.9%  Asthma symptoms in Chinese adolescents were lowest among residents of mainland China, were greater for those in Hong Kong and those who had immigrated to Canada, and were highest among those born in Canada. These findings suggest that environmental factors and duration of exposure influence asthma prevalence.
HUMAN RESOURCE MANAGEMENT FOR SECURE AND SUSTAINABLE DEVELOPMENT
Venue: Journal of Security and Sustainability Issues
Year: 2019

A set of criteria has been substantiated for evaluating the effectiveness of the implementation of the functions of the mechanism for ensuring the leadership effectiveness of the managerial staff of enterprises. The set gives a chance to make a comprehensive evaluation of the integral indicator of human resource management. This makes it possible to determine the effectiveness level of human resource management. The study carried out allowed to propose a functional and structural approach that includes the following functions: analysis and planning of personnel, recruitment and selection of personnel, attestation and evaluation of personnel, organization of labor relations, motivational support, creation of working conditions, information provision, development and training of personnel. Under uncertainty, its application makes it possible to evaluate the impact of the effectiveness of the human resource management on the level of productivity of the studied enterprises.
Exploring the effectiveness of deep neural networks with technical analysis applied to stock market prediction
Venue: Comput. Sci. Inf. Syst.
Year: 2021

The sustainable development of the national economy depends on the continuous growth and growth of the capital market, and the stock market is an important factor of the capital market. The growth of the stock market can generate a huge positive force for the country's economic strength, and the steady growth of the stock market also plays a pivotal role in the overall economic pulsation and is very helpful to the country's high economic development. There are different views on whether the technical analysis of the stock market is efficient. This study aims to explore the feasibility and efficiency of using deep network and technical analysis indicators to estimate short term price movements of stocks. The subject of this study is TWSE 0050, which is the most traded ETF in Taiwan's stock exchange, and the experimental transaction range is 2017/01 2019 Q3. A four layer Long Short Term Memory (LSTM) model was constructed. This research uses well known technical indicators such as the KD, RSI, BIAS, Williams% R, and MACD, combined with the opening price, closing price, daily high and low prices, etc. to predict the trend of stock prices. The results show that the combination of technical indicators and the LSTM deep network model can achieve 83.6% accuracy in the three categories of rise, fall, and flatness.
Application of a Failure Driven Test Profile in Random Testing
Venue: IEEE Trans. Reliab.
Year: 2009

Random testing techniques have been extensively used in reliability assessment, as well as in debug testing. When used to assess software reliability, random testing selects test cases based on an operational profile; while in the context of debug testing, random testing often uses a uniform distribution. However, generally neither an operational profile nor a uniform distribution is chosen from the perspective of maximizing the effectiveness of failure detection. Adaptive random testing has been proposed to enhance the failure detection capability of random testing by evenly spreading test cases over the whole input domain. In this paper, we propose a new test profile, which is different from both the uniform distribution, and operational profiles. The aim of the new test profile is to maximize the effectiveness of failure detection. We integrate this new test profile with some existing adaptive random testing algorithms, and develop a family of new random testing algorithms. These new algorithms not only distribute test cases more evenly, but also have better failure detection capabilities than the corresponding original adaptive random testing algorithms. As a consequence, they perform better than the pure random testing.
Predictive coding: an account of the mirror neuron system
Venue: Cognitive Processing
Year: 2007

Is it possible to understand the intentions of other people by simply observing their actions? Many believe that this ability is made possible by the brain's mirror neuron system through its direct link between action and observation. However, precisely how intentions can be inferred through action observation has provoked much debate. Here we suggest that the function of the mirror system can be understood within a predictive coding framework that appeals to the statistical approach known as empirical Bayes. Within this scheme the most likely cause of an observed action can be inferred by minimizing the prediction error at all levels of the cortical hierarchy that are engaged during action observation. This account identifies a precise role for the mirror system in our ability to infer intentions from actions and provides the outline of the underlying computational mechanisms.
A Theoretical Framework for the Critical Posthumanities
Year: 2019

What are the parameters that define a posthuman knowing subject, her scientific credibility and ethical accountability? Taking the posthumanities as an emergent field of enquiry based on the convergence of posthumanism and post anthropocentrism, I argue that posthuman knowledge claims go beyond the critiques of the universalist image of 'Man' and of human exceptionalism. The conceptual foundation I envisage for the critical posthumanities is a neo Spinozist monistic ontology that assumes radical immanence, i.e. the primacy of intelligent and self organizing matter. This implies that the posthuman knowing subject has to be understood as a relational embodied and embedded, affective and accountable entity and not only as a transcendental consciousness. Two related notions emerge from this claim: firstly, the mind body continuum i.e. the embrainment of the body and embodiment of the mind and secondly, the nature culture continuum i.e. 'naturecultural' and 'humanimal' transversal bonding. The article explores these key conceptual and methodological perspectives and discusses the implications of the critical posthumanities for practices in the contemporary 'research' university.
Stochastic discriminant analysis for linear supervised dimension reduction
Venue: Neurocomputing
Year: 2018

In this paper, we consider a linear supervised dimension reduction method for classification settings: stochastic discriminant analysis (SDA) This method matches similarities between points in the projection space with those in a response space. The similarities are represented by transforming distances between points to joint probabilities using a transformation which resembles Student's t distribution. The matching is done by minimizing the Kullback Leibler divergence between the two probability distributions. We compare the performance of our SDA method against several state of the art methods for supervised linear dimension reduction. In our experiments, we found that the performance of the SDA method is often better and typically at least equal to the compared methods. We have made experiments with various types of data sets having low, medium, or high dimensions and quite different numbers of samples, and with both sparse and dense data sets. If there are several classes in the studied data set, the low dimensional projections computed using our SDA method provide often higher classification accuracies than the compared methods.
Cross cultural perspectives on collaboration: Differences between the Middle East and the United States
Year: 2021

Cross cultural collaboration is critical for tackling many complex issues of the modern day, yet can be challenging, particularly when it includes collaborators with a history of conflict, such as Middle Eastern countries and the United States. To explore how collaborators might have unique conceptualizations of collaboration that could ultimately contribute to this challenge, this research leverages comparative structural analysis of interview data from 113 participants across four nations in the Middle East and the United States. Several key differences in conceptualizations emerged. Middle Eastern samples emphasized (1) who is involved, including a spiritual element, (2) interpersonal aspects, (3) higher levels of motivation, and (4) equality of resources, more so than American participants. However, not all conceptualizations were different. These cultures all agreed collaboration is challenging and requires effort to be successful. Findings provide important insights for informing future research, as well as practical approaches to managing cultural differences in collaborative settings.