nils-herrmann/clean_scirepeval huggingface dataset:
Changes in sea surface temperature and atmospheric circulation patterns associated with reductions in Arctic sea ice cover in recent decades
Year: 2018

In recent decades, the Arctic sea ice has been declining at a rapid pace as the Arctic warms at a rate of twice the global average. The underlying physical mechanisms for the Arctic warming and accelerated sea ice retreat are not fully understood. In this study, we apply a relatively novel statistical method called self organizing maps (SOM) along with composite analysis to examine the trend and variability of autumn Arctic sea ice in the past three decades and their relationships to large scale atmospheric circulation changes. Our statistical results show that the anomalous autumn Arctic dipole (AD) (Node 1) and the Arctic Oscillation (AO) (Node 9) could explain in a statistical sense as much as 50 of autumn sea ice decline between 1979 and 2016. The Arctic atmospheric circulation anomalies associated with anomalous sea surface temperature (SST) patterns over the North Pacific and North Atlantic influence Arctic sea ice primarily through anomalous temperature and water vapor advection and associated radiative feedback.
Organic light emitting diode display and fabricating method thereof
Year: 2008

The present invention relates to an organic light emitting diode display and a manufacturing method. The organic light emitting diode display comprising: a switching TFT and a driving TFT is formed on a substrate; a coating layer formed on the switching TFT and driving TFT; drain contact hole, by removing portions of the coating layer to expose the driving TFT drain Some portions of the electrode; a first contact with the driving of the drain electrode of the TFT; hole accumulation region to expose a pattern of pixels; the organic layer is formed on the first electrode; a second electrode formed on the organic layer; and wherein the bulk patterns occlusion region forming the drain contact hole.
Neutrosophic AHP Multi Criteria Decision Making Method Applied on the Selection of Learning Management System
Year: 2017

Learning management systems (LMSs) are used today to assist in the designing, delivery and management of learning resources for learners. There are hundreds of LMS available in the marketplace. Selecting the most suitable LMS that meets specific requirements is a problem of decision making. Many studies in learning management system selection are implemented under complete information, while in the real world many uncertainty aspects do exist. As these systems were described by decision makers with vague, imprecise, ambiguous and inconsistent terms, it is understandable that traditional multi criteria decision making methods may not be effective.
Recovering clear, natural identifiers from obfuscated JS names
Venue: ESEC/SIGSOFT FSE
Year: 2017

Well chosen variable names are critical to source code readability, reusability, and maintainability. Unfortunately, in deployed JavaScript code (which is ubiquitous on the web) the identifier names are frequently minified and overloaded. This is done both for efficiency and also to protect potentially proprietary intellectual property. In this paper, we describe an approach based on statistical machine translation (SMT) that recovers some of the original names from the JavaScript programs minified by the very popular UglifyJS. This simple tool, Autonym, performs comparably to the best currently available deobfuscator for JavaScript, JSNice, which uses sophisticated static analysis. In fact, Autonym is quite complementary to JSNice, performing well when it does not, and vice versa. We also introduce a new tool, JSNaughty, which blends Autonym and JSNice, and significantly outperforms both at identifier name recovery, while remaining just as easy to use as JSNice. JSNaughty is available online at http:/jsnaughty.org.
A Note on the Schur Multiplier of a Nilpotent Lie Algebra
Year: 2011

For a nilpotent Lie algebra L of dimension n and dim (L 2) m 1, we find the upper bound where M(L) denotes the Schur multiplier of L. In case m 1, the equality holds if and only if L H(1) A, where A is an abelian Lie algebra of dimension n 3 and H(1) is the Heisenberg algebra of dimension 3.
Joint visual denoising and classification using deep learning
Venue: 2016 IEEE International Conference on Image Processing (ICIP)
Year: 2016

Visual restoration and recognition are traditionally addressed in pipeline fashion, i.e. denoising followed by classification. Instead, observing correlations between the two tasks, for example clearer image will lead to better categorization and vice visa, we propose a joint framework for visual restoration and recognition for handwritten images, inspired by advances in deep autoencoder and multi modality learning. Our model is a 3 pathway deep architecture with a hidden layer representation which is shared by multi inputs and outputs, and each branch can be composed of a multi layer deep model. Thus, visual restoration and classification can be unified using shared representation via non linear mapping, and model parameters can be learnt via backpropagation. Using MNIST and USPS data corrupted with structured noise, the proposed framework performs at least 20% better in classification than separate pipelines, as well as clearer recovered images.
The interplay between reflective thinking, critical thinking, self monitoring, and academic achievement in higher education
Year: 2017

The present study assessed the associations among higher order thinking skills (reflective thinking, critical thinking) and self monitoring that contribute to academic achievement among university students. The sample consisted of 196 Iranian university students (mean age 22.05, SD 3.06; 112 females; 75 males) who were administered three questionnaires. To gauge reflective thinking, the "Reflective Thinking Questionnaire" designed by Kember et al. (Assess Eval High Educ 25(4):380 395, 2000) was utilized. It includes 16 items measuring four types of reflective thinking (habitual action, understanding, reflection, and critical reflection) To assess critical thinking, the "Watson Glaser Critical Thinking Appraisal"(2002) was utilized. It comprises 80 items and consists of 5 subtests (inference, recognizing unstated assumptions, deduction, interpretation, and evaluation) Self monitoring was measured via 8 items of the self regulation trait questionnaire designed by O'Neil and Herl (Paper presented at the annual meeting of the American Educational Research Association, San Diego, CA, 1998) The results demonstrated that critical thinking and all components of reflective thinking positively and significantly predicted achievement with habitual action having the lowest impact and reflection exhibiting the highest influence. Self monitoring indirectly exerted a positive influence on achievement via understanding and reflection. It was also found that among the four subscales of reflective thinking, reflection and critical reflection predicted critical thinking positively and significantly. Self monitoring had a positive and significant impact on critical thinking. It also significantly and positively influenced understanding as well as reflection.
NIA: System for News Impact Analytics
Year: 2014

The analysis of news impact on people is relevant to a variety of applications, ranging from monitoring product and companies reputations, to stock market prediction. Therefore, it is important to understand the underlying mechanisms which affect the propagation of news and drive the evolution of sentiments in one way or another. In this demonstration paper, we describe NIA, a system that identifies and describes news events that caused changes of sentiments. NIA is based on a novel framework for a complex news event modeling, which is capable of detecting time and importance characteristics of events by only observing a time series of news articles publications, and then correlating this data with a time series of sentiment shifts. The operation of our system is summarized as follows. First, we apply a deconvolution to recover the time, longitude, importance and impact of news events. Second, we compute a sentiment time series, e.g. by monitoring sentiments for positive or negative bursts, and coherently analyze sentiment and news time series, automatically determining their time lag. Third, we evaluate the corresponding news articles for a time interval of interest and extract the essence of what happened. Finally, we present the selected news time series to the user, as well as several more correlated stories, which could have affected sentiments as well, proposing to interactively explore their connections.
Dynamic VTH Tracking for Cross Temperature Suppression in 3D TLC NAND Flash
Venue: 2019 IEEE International Integrated Reliability Workshop (IIRW)
Year: 2019

The cross temperature effect has been identified as one of the sources that limits the 3D TLC NAND Flash reliability and performance. The physical nature of the phenomenon lies on the temperature dependency of the threshold voltage distributions that is evidenced when the memory is read at a temperature different from the one experienced during its programming. State of the art solutions for mitigating the phenomenon, both at circuit and system level, are failing to entirely cover the issues of such reliability threat. In this work we present and validate a dedicated algorithm (cross temperature dynamic VTH tracking or CTDVT) that goes in synergy with a system like a Solid State Drive to completely suppress the cross temperature issue.
Idea: Supporting Policy Based Access Control on Database Systems
Venue: ESSoS
Year: 2016

Applications are increasingly operating on large data sets. This trend creates problems for access control, which in principle restricts the actions that subjects can perform on any item in that data set. Performance issues therefore emerge, typically for operations on entire data sets. Emerging access control models such as attribute based access control do meet their limitations in this context. Worse, few solutions exist that addresses performance problems while supporting separation of concerns. In this paper, we present a first approach towards addressing this challenge. We propose a middleware architecture that performs policy transformations and query rewriting for externalized policies to optimize the access control process on the data set. We argue that this offers a promising approach for reducing the policy evaluation overhead for access control on large data sets.
Development and evaluation of a newborn care education programme in primiparous mothers in Nepal.
Venue: Midwifery
Year: 2016

BACKGROUND the health and survival of newborns depend on high levels of attention and care from caregivers. The growth and development of some infants are unhealthy because of their mother's or caregiver's lack of knowledge or the use of inappropriate or traditional child rearing practices that may be harmful. OBJECTIVE to develop a newborn care educational programme and evaluate its impact on infant and maternal health in Nepal. DESIGN a randomised controlled trial. PARTICIPANTS one hundred and forty three mothers were randomly assigned to the intervention (n=69) and control (n=74) groups. Eligible participants were primiparous mothers who had given birth to a single, full term, healthy infant, and were without a history of obstetric, medical, or psychological problems. METHODS prior to being discharged from the postnatal unit, the intervention group received our structured newborn care education programme, which consisted of one on one educational sessions lasting 10 15minutes each and one postpartum follow up telephone support within two weeks after discharge, in addition to the hospital's routine general newborn care education. The control group received only the regular general newborn care education. Outcomes were measured by using Newborn care Knowledge Questionnaires, Karitane Parenting Confidence Scale, State Trait Anxiety Inventory for Adults and infant health and care status. FINDINGS the number of mothers attending the health centre due to the sickness of their babies was significantly decreased in the intervention group compared to the control group. Moreover, the intervention group had significant increases in newborn care knowledge and confidence, and decreases in anxiety, compared with the control group.  the structured newborn care education programme enhanced the infant and mother health. Moreover, it increased maternal knowledge of newborn care and maternal confidence; and reduced anxiety in primiparous mothers. Thus, this educational programme could be integrated into routine educational programs to promote maternal and infant well being in Nepalese society.
Real Time Clustering for Large Sparse Online Visitor Data
Venue: WWW
Year: 2020

Online visitor behaviors are often modeled as a large sparse matrix, where rows represent visitors and columns represent behavior. To discover customer segments with different hierarchies, marketers often need to cluster the data in different splits. Such analyses require the clustering algorithm to provide real time responses on user parameter changes, which the current techniques cannot support. In this paper, we propose a real time clustering algorithm, sparse density peaks, for large scale sparse data. It pre processes the input points to compute annotations and a hierarchy for cluster assignment. While the assignment is only a single scan of the points, a naive pre processing requires measuring all pairwise distances, which incur a quadratic computation overhead and is infeasible for any moderately sized data. Thus, we propose a new approach based on MinHash and LSH that provides fast and accurate estimations. We also describe an efficient implementation on Spark that addresses data skew and memory usage. Our experiments show that our approach (1) provides a better approximation compared to a straightforward MinHash and LSH implementation in terms of accuracy on real datasets, (2) achieves a 20 x speedup in the end to end clustering pipeline, and (3) can maintain computations with a small memory. Finally, we present an interface to explore customer segments from millions of online visitor records in real time.
Economics and marketing of cauliflower and cabbage in Hingoli district of Marathwada region of Maharashtra state
Year: 2015

The Cole crops are most important vegetable in India, India rank first in cauliflower and second in cabbage production. The research study are based on the Cole crops including Cauliflower, Cabbage, grower in tehsil of Kalamnuri and Vasamatnagar in Hingoli District of Marathwada region of Maharashtra state as under the Vasantrao Naik Marathwada Agriculture University Parbhani, Maharashtra in the year 2011 2012. One hundred and twenty respondents were selected for present investigation viz 60 respondents of each cauliflower and cabbage grown in Rabi season, respectively. With regard to marketing study, three types of marketing channels were observed like producerconsumer (Channel I) Producer Retailer Consumer (Channel II) and Producer Commission agent cum Wholesaler Retailer Consumer (Channel III) Maximum percentage of produce of cauliflower and cabbage was sold through Channel III. Marketing cost was maximum in Channel III as compared to other Channels. Producer's share in consumer's rupee was maximum in Channel I while it was minimum in Channel III. Constrains and suggestions of cauliflower and cabbage grower in the form of Frequency and per cent were calculated on this present study. The result revealed that frequency power cut of electricity during day time in production of cauliflower and cabbage is major constraints, (83.34 (86.67 respectively. This research include the size of land holding is an important concept including the variable which leads to adopt diversified cropping pattern reduces risk of failure of crops and the respondents with high land holding can earn more money. As regards to the land holding, In case of cauliflower growers the highest (68.34 of respondents were found in the land holding upto 2 ha, 23.33 per cent were in land holding 2 to 5 ha and 8.33 per cent were in land holding 5 and above. The similar type of trend was observed in case of cabbage grower. The average cost of cultivation of cauliflower was Rs.79478.62 and Cabbage is Rs.72462.99, respectively. Per farm yield obtained from cauliflower is. 266.64qtls and cabbage is 253.05qtls. The cost return ratio of cauliflower is 1: 2.85 and cabbage is 1: 2.65.
The ESA EVE Polarization Lidar for Assessing the Aeolus Aerosol Product Perfomance
Year: 2020

We present the EVE lidar concept, a combined linear/circular polarization system, tailored to evaluate the spaceborne ALADIN Doppler lidar system aerosol retrievals. EVE, currently under development, aims to provide the ESA Aeolus mission with a flexible, mobile reference ground based lidar system capable of providing well characterized fiducial reference measurements of aerosol optical properties. Since ALADIN detects only the co polar component of the backscattered circularly polarized radiation, a portion of the received radiation gets lost, leading to an un derestimation of the backscatter coefficient and the circular depolarization ratio in strongly depolarizing scenes with non spherical particles. The main focus of the new EVE lidar is to quantify these uncertainties and to evaluate aerosol backscatter/extinction retrievals for Aeolus, and later also for EarthCARE product validation, quality assessment and improvement.
The Effect of REBT Structured Counselling Group towards the Grief and Depression among Teenagers of Divorced Parent
Year: 2015

Parent divorce often affect teenagers psychologically, particularly causing Sorrow and Depression. This quasi experiment research aims to measure the effect of Structured Counselling Group towards the Grief (GRF) and Depression (DEP) among teenagers of divorced parent based on prescores and post test. Data was gathered by using the Inventory of Teenagers of Divorced Parent (ITDP) with validity value of .78 and reliability value of .938. The study involved 60 subjects (30 male and 30 female) which were divided into 6 groups with 2 male therapy groups, 2 female therapy groupss and 2 controlling groups. The collected data was analyzed using mean, t test, MANCOVA and post Hoc test at significant value of 0.05. Result shows that the REBT Structured Counselling Group was effective in bringing down the psychology variables of GRF and DEP. Besides, it also indicates that there are no gender differences whether for male or female; and no level of education differences whether for lower secondary or upper secondary in terms of the effect of therapy towards all variables. As such, the enhancement of prevention approach are recommended as an early stage of intervention effort towards teenagers of divorced parent.
Circadian regulation of diel vertical migration (DVM) and metabolism in Antarctic krill Euphausia superba
Venue: Scientific reports
Year: 2020

Antarctic krill (Euphausia superba) are high latitude pelagic organisms which play a key ecological role in the ecosystem of the Southern Ocean. To synchronize their daily and seasonal life traits with their highly rhythmic environment, krill rely on the implementation of rhythmic strategies which might be regulated by a circadian clock. A recent analysis of krill circadian transcriptome revealed that their clock might be characterized by an endogenous free running period of about 12 15 h. Using krill exposed to simulated light/dark cycles (LD) and constant darkness (DD) we investigated the circadian regulation of krill diel vertical migration (DVM) and oxygen consumption, together with daily patterns of clock gene expression in brain and eyestalk tissue. In LD, we found clear 24 h rhythms of DVM and oxygen consumption, suggesting a synchronization with photoperiod. In DD, the DVM rhythm shifted to a 12 h period, while the peak of oxygen consumption displayed a temporal advance during the subjective light phase. This suggested that in free running conditions the periodicity of these clock regulated output functions might reflect the shortening of the endogenous period observed at the transcriptional level. Moreover, differences in the expression patterns of clock gene in brain and eyestalk, in LD and DD, suggested the presence in krill of a multiple oscillator system. Evidence of short periodicities in krill behavior and physiology further supports the hypothesis that a short endogenous period might represent a circadian adaption to cope with extreme seasonal photoperiodic variability at high latitude.
Spirituality and Religion Within the Culture of Medicine: From Evidence to Practice
Venue: Journal of Religion and Health
Year: 2017

'Tis God's Will, Sir, 'Twill come to us all' says Gerasim, the young servant, about his master's illness and death in L.N. Tolstoy's The Death of Ivan Ilyich. The ailing Ivan Ilyich is overcome by not only physical pain, but also spiritual suffering caused by what he perceives as: 'other people's cruelty, and God's cruelty and God's non existence' (Tolstoy 2008) Through simple honesty, acceptance and non abandonment, Gerasim raises Ivan Ilyich's body and soul from the depths of corporeal pain and crisis of faith and spirit. This uneducated peasant lad does more for the patient than do his doctors, priest and bourgeois family. Gerasim possesses a natural gift, but for most of us doctors, understanding our patients' spiritual and religious experience in the context of illness, healing and death is, by necessity, an acquired skill. 'Spirituality and Religion Within the Culture of Medicine: From Evidence to Practice' edited by Michael J. Balboni and John R. Peteet is an invaluable resource for physicians, nurses and other clinicians in this quest. This volume is a tour de force of scholarship in clinical medicine, medical ethics, medical education, the social sciences, humanities, theology and the law. With contributions from 37 authors, leading experts in their respective fields, to its 22 chapters, this work has an authoritative, encyclopedic feel to it. In the introduction chapter, Balboni and Peteet outline the scholarly effort to explore the interrelationship between medicine, and religion/spirituality that is the foundation of this book. This effort includes both scientific knowledge that enhances our understanding of the significance of religion and spirituality for patients and clinicians, and a religious and/or spiritual language that provides the clinical encounter with context and meaning. The idea that empiric science has historically driven a wedge between religion and medicine, but
A Better Use of Audio Visual Cues: Dense Video Captioning with Bi modal Transformer
Venue: BMVC
Year: 2020

Dense video captioning aims to localize and describe important events in untrimmed videos. Existing methods mainly tackle this task by exploiting only visual features, while completely neglecting the audio track. Only a few prior works have utilized both modalities, yet they show poor results or demonstrate the importance on a dataset with a specific domain. In this paper, we introduce Bi modal Transformer which generalizes the Transformer architecture for a bi modal input. We show the effectiveness of the proposed model with audio and visual modalities on the dense video captioning task, yet the module is capable of digesting any two modalities in a sequence to sequence task. We also show that the pre trained bi modal encoder as a part of the bi modal transformer can be used as a feature extractor for a simple proposal generation module. The performance is demonstrated on a challenging ActivityNet Captions dataset where our model achieves outstanding performance. The code is available: this http URL