nils-herrmann/clean_scirepeval huggingface dataset:
Integration of Electrofacies and Hydraulic Flow Units to Delineate Reservoir Quality in Uncored Reservoirs: A Case Study, Nubia Sandstone Reservoir, Gulf of Suez, Egypt
Venue: Natural Resources Research
Year: 2019

Recognition of reservoir quality is an important objective in reservoir characterization process. By definition, the quality of a reservoir is described by its hydrocarbon storage capacity and deliverability. The storage capacity is a function of porosity, whereas deliverability is a function of permeability. Thus, both porosity and permeability are the main reservoir quality controlling factors. Five wells were selected to study the reservoir quality of the Nubia sandstone in the Gulf of Suez, Egypt. The Nubia interval, deposited in continental to shallow marine conditions, consists mainly of sandstone intercalated by thin layers of shale. Three wells were partially cored and the other two wells are completely uncored. Based on several complementary techniques, it is concluded that the Nubia sandstone is of moderate to extremely heterogeneous quality. The porosity permeability cross plot showed fair to medium relationship, indicating the significant role of diagenetic agents. The Nubia reservoir quality has been enhanced principally by fracturing, dissolution and leaching. However, the reservoir quality decreased by cementation, compaction and filling of pore spaces by kaolinite. Based on principal component and cluster analyses, six electrofacies are recognized within the Nubia interval. Three electrofacies are dominant, whereas the other three are subsidiary. Flow zone indicator (FZI) was determined based on mean hydraulic radius and normalized porosity. Correlation between electrofacies and FZI permits discriminating the subject formation into reservoir quality ranks. The relative complexity of this reference formation notwithstanding, because of the robustness of the resulting electrofacies FZI correlations, it was relatively straightforward to recognize and reasonably predict the reservoir quality of the uncored intervals.
Experimental result for SAR GMTI using monostatic pursuit mode of TerraSAR X and TanDEM X on Staring Spotlight images
Year: 2016

TerraSAR X and TanDEM X is able to fly in monostatic pursuit mode, a formation with the satellites in identic orbit displaced in along track of a distance corresponding to 10 s delay. Such formation gives e.g. the ability to detect very slow targets or targets moving only between measurements. This can be performed using Change Detection (CD) and/or the Detection of Moving Targets by Focusing (DMTF) technique. A combination of DMTF and CD is promising. To investigate the applicability of the methods for moving target detection, an experiment was performed with TerraSAR X and TanDEM X in monostatic pursuit mode and several deployed targets.
Implications for Breast Cancer Restaging Based on the 8th Edition AJCC Staging Manual.
Venue: Annals of surgery
Year: 2018

We assessed the changes that have resulted from the latest breast cancer staging guidelines and the potential impact on prognosis.  Contemporary data suggest that combining anatomic staging and tumor biology yields a predictive synergy for determining breast cancer prognosis. This forms the basis for the American Joint Committee on Cancer's (AJCC) Staging Manual, 8th edition. We assessed the changes that have resulted from the new staging guidelines and the potential impact on prognosis.  Women with stages I to III breast cancer from 2010 to 2014 in the National Cancer Data Base were pathologically staged according to the 7th and 8th editions of the AJCC Staging Manual. Patient characteristics and restaging outcomes were summarized. Unadjusted overall survival (OS) was estimated, and differences were assessed. Cox proportional hazards models were utilized to estimate the adjusted association of stage with OS.  After restaging the 493,854 women identified, 6.8% were upstaged and 29.7% were downstaged. The stage changes varied by tumor histology, receptor status, tumor grade, and Oncotype DX scores (all P 0.0001) Applying the 8th edition criteria yielded an incremental reduction in survival for each increase in stage, which was not consistently seen in the 7th edition. In a subgroup analysis based on hormone receptor (HR) status, those with stages II and III, and HR disease had a worse OS than those with HR+ disease.  Applying the 8th edition staging criteria resulted in a stage change for >35% of patients diagnosed with invasive breast cancer and refined OS estimates. Overall, the transition to the 8th edition is expected to better drive clinical care, treatment recommendations, and future research.
Melatonin confers heavy metal induced tolerance by alleviating oxidative stress and reducing the heavy metal accumulation in Exophiala pisciphila, a dark septate endophyte (DSE)
Venue: BMC microbiology
Year: 2021

Melatonin (MT) ubiquitous in almost all organisms, functions as a free radical scavenger. Despite several reports on its role as an antioxidant in animals, plants, and some microorganisms, extensive studies in filamentous fungi are limited. Based upon the role of melatonin as an antioxidant, we investigated its role in heavy metal induced stress tolerance in Exophiala pisciphila a dark septate endophyte (DSE) by studying the underlying mechanisms in alleviating oxidative stress and reducing heavy metal accumulation.  A significant decrease in malondialdehyde (MDA) and oxygen free radical (OFR) in E pisciphila was recorded under Cd, Zn, and Pb stresses as compared to the control. Pretreatment of E pisciphila with 200.0 mM exogenous melatonin significantly increased the activity of superoxide dismutase (SOD) under Zn and Pb stresses. Pretreatment with 200.0 mM melatonin also lowered Cd, Zn, and Pb concentrations significantly. Melatonin production was enhanced by Cd, Cu, and Zn after 2 d, and melatonin biosynthetic enzyme genes, E pisciphila tryptophan decarboxylase EpTDC1 and serotonin N acetyltransferase EpSNAT1 were transcriptionally upregulated. The overexpression of EpTDC1 and N acetylserotonin O methyltransferase EpASMT1 in Escherichia coli and Arabidopsis thaliana enhanced its heavy metal induced stress tolerance. The overexpression of EpTDC1 and EpASMT1 reduced the Cd accumulation in the whole A. thaliana plants, especially in the roots.  Melatonin conferred heavy metal induced stress tolerance by alleviating oxidative stress, activating antioxidant enzyme SOD, and reducing heavy metal accumulation in E. pisciphila Melatonin biosynthetic enzyme genes of E. pisciphila also played key roles in limiting excessive heavy metal accumulation in A. thaliana These findings can be extended to understand the role of melatonin in other DSEs associated with economically important plants and help develop new strategies in sustainable agriculture practice where plants can grow in soils contaminated with heavy metals.
Topic sentiment analysis in twitter: a graph based hashtag sentiment classification approach
Venue: CIKM '11
Year: 2011

Twitter is one of the biggest platforms where massive instant messages (i.e. tweets) are published every day. Users tend to express their real feelings freely in Twitter, which makes it an ideal source for capturing the opinions towards various interesting topics, such as brands, products or celebrities, etc. Naturally, people may anticipate an approach to receiving the common sentiment tendency towards these topics directly rather than through reading the huge amount of tweets about them. On the other side, Hashtags, starting with a symbol "" ahead of keywords or phrases, are widely used in tweets as coarse grained topics. In this paper, instead of presenting the sentiment polarity of each tweet relevant to the topic, we focus our study on hashtag level sentiment classification. This task aims to automatically generate the overall sentiment polarity for a given hashtag in a certain time period, which markedly differs from the conventional sentence level and document level sentiment analysis. Our investigation illustrates that three types of information is useful to address the task, including (1) sentiment polarity of tweets containing the hashtag; (2) hashtags co occurrence relationship and (3) the literal meaning of hashtags. Consequently, in order to incorporate the first two types of information into a classification framework where hashtags can be classified collectively, we propose a novel graph model and investigate three approximate collective classification algorithms for inference. Going one step further, we show that the performance can be remarkably improved using an enhanced boosting classification setting in which we employ the literal meaning of hashtags as semi supervised information. Experimental results on a real life data set consisting of 29,195 tweets and 2,181 hashtags show the effectiveness of the proposed model and algorithms.
Vision and Task Assistance Using Modular Wireless In Vivo Surgical Robots
Venue: IEEE Transactions on Biomedical Engineering
Year: 2009

Minimally invasive abdominal surgery (laparoscopy) results in superior patient outcomes compared to conventional open surgery. However, the difficulty of manipulating traditional laparoscopic tools from outside the body of the patient generally limits these benefits to patients undergoing relatively low complexity procedures. The use of tools that fit entirely inside the peritoneal cavity represents a novel approach to laparoscopic surgery. Our previous work demonstrated that miniature mobile and fixed based in vivo robots using tethers for power and data transmission can successfully operate within the abdominal cavity. This paper describes the development of a modular wireless mobile platform for in vivo sensing and manipulation applications. Design details and results of ex vivo and in vivo tests of robots with biopsy grasper, staple/clamp, video, and physiological sensor payloads are presented. These types of self contained surgical devices are significantly more transportable and lower in cost than current robotic surgical assistants. They could ultimately be carried and deployed by nonmedical personnel at the site of an injury to allow a remotely located surgeon to provide critical first response medical intervention irrespective of the location of the patient.
Optimal design of rainbow elastic metamaterials
Year: 2020

In this study, we present an optimization scheme for the resonator distribution in rainbow metamaterials that are constitutive of a P shaped beam with parallel plate insertions and two sets of spatially varying cantilever mass resonators. To improve the vibration attenuation of the rainbow metamaterials at frequencies of interest, two optimization strategies are proposed, aiming at minimizing the maximum and average receptance values respectively. Objective functions for both single and multiple frequency ranges optimization are set up with the frequency response functions predicted by an analytical model. The masses of the two sets of resonators clamped at different side walls of the P shaped beams constitute the set of design variables. Optimization functions are solved out with the employment of the Genetic Algorithm method. Dedicate case studies are subsequently conducted to show the feasibility of the proposed scheme. The receptance values are found greatly reduced within the single and multiple optimization frequency ranges. Moreover, it is found that, the maximum value based objective function could lead to optimal structures with wider bandgaps but weaker vibration attenuation, while the optimal structure by the average value based objective function has the opposing trend with narrower bandgaps but enhanced vibration attenuation. Objective strategies should be selected according to the application requirements.
Anomaly Detection using Clustered Deep One Class Classification
Venue: 2020 15th Asia Joint Conference on Information Security (AsiaJCIS)
Year: 2020

Anomalies on Cyber Physical System (CPS) can have a devastating effect on the entire system of complex CPS. Thus, it is important to detect anomalies quickly. Since CPS can collect sensor data in near real time throughout the process, many attempts have been made to solve this problem from the perspective of data driven security based on the collected data. However, since the CPS datasets are big data and most of the data are normal data, it has always been a great challenge to analyze the data and implement the anomaly detection model. In this paper, we propose and evaluate the Clustered Deep One Class Classification (CD OCC) model that combines the clustering algorithm and deep learning (DL) models using only a normal dataset for anomaly detection. We classify normal data into optimal cluster size using the K means clustering algorithm. DL models train to classify each cluster based on clustered normal data, and we can obtain the softmax values in the process of predicting the cluster. We use the softmax values as a dataset with distilled knowledge of the DL model for anomaly detection. We transfer the softmax values to one class classification (OCC) models to detect anomalies. As a result of the experiment, the F1 score of the proposed model shows performance close to 0.8 and performance improvement of about 0.5 compared to the encoded OCC model, which has reduced dimensionality through auto encoder as well as the basic OCC model.
Bouncing Forward After Irma and Maria: Acknowledging Colonialism, Problematizing Resilience and Thinking Climate Justice
Venue: Journal of Extreme Events
Year: 2019

The 2017 hurricane season caused widespread devastation across Central America, the Caribbean and the South Eastern United States. Hurricanes Harvey, Irma and Maria were among the most intense Atlantic hurricanes and the costliest for the Circum Caribbean region. For the small islands of the Caribbean, the hurricanes highlighted the acute vulnerability to climate change. The scale of physical ruin and level of social dislocation, however, do not just reflect the outcomes of a natural hazard. Continued structural dependency and outright entanglement in colonial relationships complicated recovery and coordination of aid to affected communities across the region. We argue that the experiences and outcomes of hazards like Harvey, Irma and Maria therefore invite examinations of persisting colonial power dynamics in discussions of climate hazard. Using Foucauldian theory for such an examination, we problematize simply championing resilience, without noting the possibilities for its use as a biopolitical regime of governing life. Such an appraisal, we suggest, might clarify a path toward reparations and climate change justice.
The parallax view
Year: 2006

The Parallax View is Slavoj Zizek's most substantial theoretical work to appear in many years; Zizek himself describes it as his magnum opus. Parallax can be defined as the apparent displacement of an object, caused by a change in observational position. Zizek is interested in the "parallax gap" separating two points between which no synthesis or mediation is possible, linked by an "impossible short circuit" of levels that can never meet. From this consideration of parallax, Zizek begins a rehabilitation of dialectical materialism.Modes of parallax can be seen in different domains of today's theory, from the wave particle duality in quantum physics to the parallax of the unconscious in Freudian psychoanalysis between interpretations of the formation of the unconscious and theories of drives. In The Parallax View, Zizek, with his usual astonishing erudition, focuses on three main modes of parallax: the ontological difference, the ultimate parallax that conditions our very access to reality; the scientific parallax, the irreducible gap between the phenomenal experience of reality and its scientific explanation, which reaches its apogee in today's brain sciences (according to which "nobody is home" in the skull, just stacks of brain meat a condition Zizek calls "the unbearable lightness of being no one" and the political parallax, the social antagonism that allows for no common ground. Between his discussions of these three modes, Zizek offers interludes that deal with more specific topics including an ethical act in a novel by Henry James and anti anti Semitism.The Parallax View not only expands Zizek's Lacanian Hegelian approach to new domains (notably cognitive brain sciences) but also provides the systematic exposition of the conceptual framework that underlies his entire work. Philosophical and theological analysis, detailed readings of literature, cinema, and music coexist with lively anecdotes and obscene jokes.
Emotion and space: lateralized emotional word detection depends on line bisection bias
Venue: Neuroscience
Year: 2009

There is converging evidence, from various independent areas of neuroscience, for a functional specialization of the left and right cerebral hemispheres for positive and negative emotions, respectively "valence theory" of emotional processing) One subfield, however, has produced mixed results, i.e. work on the detection of parafoveally presented positively or negatively emotional words by healthy subjects. Right or left visual field advantages were described and interpreted as reflecting the superiority of either the left hemisphere (LH) for linguistic material, or of the right hemisphere (RH) for highly emotional stimuli. Here we show that 48 healthy, right handed participants' performance on a lateralized lexical decision task depends on their individual inclination to bisect a line to the left or right of the objective center. Only those with a bisection bias to the right showed the LH advantage for word detection known from the neuropsychological literature. Negative emotional words were processed with comparable accuracy in the two visual fields. However, a recognition advantage for negative over positive emotional words was found exclusively for those participants with a leftward line bisection bias. These results suggest that in work on functional hemispheric differences state variables like stimulus lateralization and word emotionality may be less decisive than the trait variable of lateral hemispatial attention. We propose a cautious reconsideration of the concept of "hemisphericity," which once emphasized individual differences in baseline hemispheric arousal, but was later dismissed in a reaction to oversimplifications in popular science accounts.
Eigenvectors from eigenvalues: A survey of a basic identity in linear algebra
Year: 2019

If $A$ is an $n \times n$ Hermitian matrix with eigenvalues \lambda_1(A)\dots,\lambda_n(A) and $i,j 1,\dots,n$ then the $j^\mathrm{th} component $v_{i,j} of a unit eigenvector $v_i$ associated to the eigenvalue \lambda_i(A) is related to the eigenvalues \lambda_1(M_j)\dots,\lambda_{n 1}(M_j) of the minor $M_j$ of $A$ formed by removing the $j^\mathrm{th} row and column by the formula |v_{i,j}^2\prod_{k=1;k\neq i}{n}\left(\lambda_i(A) \lambda_k(A)\right)\prod_{k=1}{n 1}\left(\lambda_i(A) \lambda_k(M_j)\right) We refer to this identity as the \emph{eigenvector eigenvalue identity} Despite the simple nature of this identity and the extremely mature state of development of linear algebra, this identity was not widely known until very recently. In this survey we describe the many times that this identity, or variants thereof, have been discovered and rediscovered in the literature (with the earliest precursor we know of appearing in 1834) We also provide a number of proofs and generalizations of the identity.
Seismic Retrofitting of Mustafa Pasha Mosque in Skopje: Finite Element Analysis
Year: 2011

A finite element analysis was carried out to assess the seismic behavior of Mustafa Pasha mosque in Skopje and the efficiency of a CFRP based strengthening technique. The numerical models of the as built and retrofitted mosque were calibrated and validated against the results of an extensive experimental investigation based on shaking table tests on a large scale physical model. Linear dynamic and nonlinear static analyses were performed to design the retrofitting intervention and to analyze the seismic behavior of the large scale model before and after strengthening. Experimental and numerical results were compared to assess the accuracy of the models. The formation of crack patterns observed on the large scale model in the different phases of the testing program was analysed and the responses to lateral load were compared. Finally, the numerical models were used to predict the seismic behavior and the effectiveness of the retrofitting system on the full scale prototype.
National, Regional, State, and Selected Local Area Vaccination Coverage Among Adolescents Aged 13 17 Years United States, 2016
Venue: MMWR. Morbidity and mortality weekly report
Year: 2017

The Advisory Committee on Immunization Practices (ACIP) recommends that adolescents routinely receive tetanus, diphtheria, and acellular pertussis vaccine (Tdap) meningococcal conjugate vaccine (MenACWY) and human papillomavirus (HPV) vaccine (1) at age 11 12 years. ACIP also recommends catch up vaccination with hepatitis B vaccine, measles, mumps, and rubella (MMR) vaccine, and varicella vaccine for adolescents who are not up to date with childhood vaccinations. ACIP recommends a booster dose of MenACWY at age 16 years (1) In December 2016, ACIP updated HPV vaccine recommendations to include a 2 dose schedule for immunocompetent adolescents initiating the vaccination series before their 15th birthday (2) To estimate adolescent vaccination coverage in the United States, CDC analyzed data from the 2016 National Immunization Survey Teen (NIS Teen) for 20,475 adolescents aged 13 17 years. During 2015 2016, coverage increased for =1 dose of Tdap (from 86.4% to 88.0% and for each HPV vaccine dose (from 56.1% to 60.4% for =1 dose) Among adolescents aged 17 years, coverage with =2 doses of MenACWY increased from 33.3% to 39.1% In 2016, 43.4% of adolescents (49.5% of females; 37.5% of males) were up to date with the HPV vaccination series, applying the updated HPV vaccine recommendations retrospectively. Coverage with =1 HPV vaccine dose varied by metropolitan statistical area (MSA) status and was lowest (50.4% among adolescents living in non MSA areas and highest (65.9% among those living in MSA central cities.SS Adolescent vaccination coverage continues to improve overall; however, substantial opportunities exist to further increase HPV associated cancer prevention.