nils-herrmann/clean_scirepeval huggingface dataset:
Clonal Dynamics and clinical implications of Post Remission Clonal Hematopoiesis in Acute Myeloid Leukemia (AML)
Venue: Blood
Year: 2021

While clonal hematopoiesis (CH) can precede the development of acute myeloid leukemia (AML) it can also persist after achieving remission. Long term clonal dynamics and clinical implications of persistent CH are not well understood. Here, we studied the prevalence, dynamics and clinical implications of post remission CH in 164 AML patients who attained complete remission after induction chemotherapies. Post remission CH was identified in 79 (49% patients. Post remission CH persisted long term in 91% of the trackable patients despite treatment with various types of consolidation and maintenance therapies. Post remission CH was eradicated in 20 out of 21 (95% patients who underwent allogeneic stem cell transplant. While patients with post remission CH as a group had comparable hematopoiesis with those without it, patients with persistent TET2 mutations showed significant neutropenia long term. Post remission CH had little impact on relapse risk, non relapse mortality, and incidence of atherosclerotic cardiovascular disease, although the clinical impact of post CR CH was heterogeneous among different mutations. These data suggest that while residual clonal hematopoietic stem cells (HSCs) are generally resistant to consolidation and maintenance therapies, they retain the ability to maintain normal hematopoiesis and have little impact on clinical outcomes, although larger study is needed to dissect the gene specific heterogeneity.
Limited Rate Feedback in a MIMO Wiretap Channel With a Cooperative Jammer
Venue: IEEE Transactions on Signal Processing
Year: 2016

We study strategies for enhanced secrecy using cooperative jamming in secure communication systems with limited rate feedback. A Gaussian multiple input multiple output (MIMO) wiretap channel with a jamming helper is considered. The transmitter and helper both require channel state information (CSI) which is quantized at the receiver and fed back through two sum rate limited feedback channels. The quantization errors result in reduced beamforming gain from the transmitter, as well as interference leakage from the helper. First, under the assumption that the eavesdropper's CSI is completely unknown, we derive a lower bound on the average main channel rate and find the feedback bit allocation that maximizes the jamming power under a constraint on the bound. For the case where statistical CSI for the eavesdropper's channel is available, we derive a lower bound on the average secrecy rate, and we optimize the bound to find a suitable bit allocation and the transmit powers allocated to the transmitter and helper. For the case where the transmitter and helper have the same number of antennas, we obtain a closed form solution for the optimal bit allocation. Simulations verify the theoretical analysis and demonstrate the significant performance gain that results with intelligent feedback bit allocation and power control.
Live fast, die young? A review on the developmental trajectories of ADHD across the lifespan
Venue: European Neuropsychopharmacology
Year: 2018

Attention deficit/hyperactivity disorder (ADHD) is highly heritable and the most common neurodevelopmental disorder in childhood. In recent decades, it has been appreciated that in a substantial number of cases the disorder does not remit in puberty, but persists into adulthood. Both in childhood and adulthood, ADHD is characterised by substantial comorbidity including substance use, depression, anxiety, and accidents. However, course and symptoms of the disorder and the comorbidities may fluctuate and change over time, and even age of onset in childhood has recently been questioned. Available evidence to date is poor and largely inconsistent with regard to the predictors of persistence versus remittance. Likewise, the development of comorbid disorders cannot be foreseen early on, hampering preventive measures. These facts call for a lifespan perspective on ADHD from childhood to old age. In this selective review, we summarise current knowledge of the long term course of ADHD, with an emphasis on clinical symptom and cognitive trajectories, treatment effects over the lifespan, and the development of comorbidities. Also, we summarise current knowledge and important unresolved issues on biological factors underlying different ADHD trajectories. We conclude that a severe lack of knowledge on lifespan aspects in ADHD still exists for nearly every aspect reviewed. We encourage large scale research efforts to overcome those knowledge gaps through appropriately granular longitudinal studies.
Synthesis and Evaluation of Antimicrobial and Cytotoxic Activity of Oxathiine Fused Quinone Thioglucoside Conjugates of Substituted 1,4 Naphthoquinones
Venue: Molecules
Year: 2020

A series of new tetracyclic oxathiine fused quinone thioglycoside conjugates based on biologically active 1,4 naphthoquinones and 1 mercapto derivatives of per O acetyl d glucose, d galactose, d xylose, and l arabinose have been synthesized, characterized, and evaluated for their cytotoxic and antimicrobial activities. Six tetracyclic conjugates bearing a hydroxyl group in naphthoquinone core showed high cytotoxic activity with EC50 values in the range of 0.3 to 0.9 mM for various types of cancer and normal cells and no hemolytic activity up to 25 mM. The antimicrobial activity of conjugates was screened against Gram positive bacteria (Staphylococcus aureus, Bacillus cereus) Gram negative bacteria (Pseudomonas aeruginosa and Escherichia coli) and fungus Candida albicans by the agar diffusion method. The most effective juglone conjugates with d xylose or l arabinose moiety and hydroxyl group at C 7 position of naphthoquinone core at concentration 10 ug/well showed antimicrobial activity comparable with antibiotics vancomicin and gentamicin against Gram positive bacteria strains. In liquid media, juglone arabinosidic tetracycles showed highest activity with MIC 6.25 uM. Thus, a positive effect of heterocyclization with mercaptosugars on cytotoxic and antimicrobial activity for group of 1,4 naphthoquinones was shown.
Social Networks in University Classrooms: An Experience of Teaching and Learning with Pre Service Teachers through Facebook
Venue: Int. J. Online Pedagog. Course Des.
Year: 2014

The use of social networks is an increasingly common practice in university education. This study describes an experiment carried out with a group of pre service teachers from a Spanish University in which Facebook was employed as a resource to develop the teaching and learning process. Specifically, it was applied as a strategy designed to improve relations among the students in the classroom. In depth interviews were held with twenty students and their teacher to analyse the influence of this emerging technology on knowledge building and the establishing of closer links among students and between students and teachers. The results acknowledge the value of this resource, both for the teacher and the students themselves, in the following areas: classroom climate, teaching learning process, virtual tutoring, foreign language practice and digital competence acquisition. In the final section of the article, we put forward questions and issues for future research.
Deity: Finding Deep Rooted Bugs in JavaScript Engines
Venue: 2019 IEEE 19th International Conference on Communication Technology (ICCT)
Year: 2019

Fuzzing  is a well known technique which was employed to provide unexpected or random data as input to JavaScript engines in hopes of finding a security vulnerability. For effective fuzzing, the input must be both syntactically correct and uncommonly randomized for exceptions such as crashes, failing built in code assertions, or potential memory leaks. In this work, we introduced system Deity which managed to resolve the conflict with innovative AST(Abstract Syntax Tree)  based tree mutation and generating methods. It leverages a high level structural representation of intermediate process JavaScript code. Our evaluation demonstrates the effectiveness of Deity. For large scale JavaScript engines (njs, mjs, Javascript Core, ChakraCore, Espruino, Jerryscript) fuzzing, our results significantly show that Deity can improve code coverage and finding more deep rooted bugs (i.e. 35 new bugs, among which we discovered 21 new vulnerabilities with 3 CVEs assigned) over Superion and CodeAlchemist.
DuReader: a Chinese Machine Reading Comprehension Dataset from Real world Applications
Venue: QA@ACL
Year: 2018

This paper introduces DuReader, a new large scale, open domain Chinese ma chine reading comprehension (MRC) dataset, designed to address real world MRC. DuReader has three advantages over previous MRC datasets: (1) data sources: questions and documents are based on Baidu Search and Baidu Zhidao; answers are manually generated. (2) question types: it provides rich annotations for more question types, especially yes no and opinion questions, that leaves more opportunity for the research community. (3) scale: it contains 200K questions, 420K answers and 1M documents; it is the largest Chinese MRC dataset so far. Experiments show that human performance is well above current state of the art baseline systems, leaving plenty of room for the community to make improvements. To help the community make these improvements, both DuReader and baseline systems have been posted online. We also organize a shared competition to encourage the exploration of more models. Since the release of the task, there are significant improvements over the baselines.
Trade Openness Government Size Nexus: Compensation Hypothesis Considered for Nigeria
Year: 2014

Over the years, substantial theoretical and empirical studies have been carried out on the trade opennessgovernment size nexus. While a strand of the literature reported positive linkage, the other suggests otherwise. This study contributes to the debate by examining this relationship for Nigeria using the bounds testing approach to cointegration within an ARDL framework proposed by Pesaran et al. (2001) Empirical evidence reveals that government size measured by percentage share of total government expenditure in GDP and share (percent) of recurrent expenditure in GDP significantly affects trade openness in the long run but percentage share of capital expenditure in GDP as a measure of government size does not impact on trade openness in the long run. The results of the standard causality test corroborate these findings. However, the three measures of government size considered significantly affect trade openness in the short run. The major implication for our study therefore is that compensation hypothesis holds for Nigeria. Thus, the government need to continue to expand its expenditure in order to cushion the effect of increase in risk caused by rising trade openness.
Vision Based Autonomous Driving for Smart City: A Case for End to End Learning Utilizing Temporal Information
Venue: SmartCom
Year: 2020

End to End learning models trained with conditional imitation learning (CIL) have demonstrated their capabilities in autonomous driving. In this work, we explore the use of temporal information with a recurrent network to improve driving performance especially in dynamic environments. We propose the TCIL (Temporal CIL) model that combines an efficient, pre trained, deep convolutional neural network to better capture image features with a long short term memory network to better explore temporal information. Experimental results in the CARLA benchmark indicate that the proposed model achieves performance gain in most tasks. Comparing with other CIL based models in the most challenging task, navigation in dynamic environments, it achieves a 96% success rate while other CIL based models had 82 92% in training conditions; it is also competitively by achieving 88% while other CIL based models were at 42 90% in the new town and new weather conditions. We believe that this work contributes significantly towards safe, efficient, clean autonomous driving for future smart cities.
Does free education help combat child labor? The effect of a free compulsory education reform in rural China
Venue: Journal of Population Economics
Year: 2019

This paper evaluates the effect of a free compulsory education reform in rural China on the incidence of child labor. We exploit the cross province variation in the rollout of the reform and apply a difference in differences strategy to identify the causal effects of the reform. We find that exposure to free compulsory education significantly reduces the incidence of child labor for boys, but has no significant effect on the likelihood of child labor for girls. Specifically, one additional semester of free compulsory education decreases the incidence of child labor for boys by 8.3 percentage points. Moreover, the negative effect of the reform on the likelihood of child labor is stronger for boys from households with lower socioeconomic status. Finally, the free compulsory education reform may induce parents to reallocate resources towards boys within a household and thus may enlarge the gender gap in human capital investment.
An investigation into students' perception of utilizing online dictionaries in translation interpretation
Year: 2019

The Digital Revolution can be fairly considered to have shifted the paradigm in lexicology and lexicography. It has opened up new ways of exploring and representing the structure of the lexicon, testing diverse theories of word semantics, and compiling both manually and automatically ever larger and richer resources that reflect multiple dimensions of meaning and lexical organization based on solid empirical data (Gala N, Zock M. 2013) This digital era has witnessed the invention of electronic dictionaries, including both L1 L2 and L2 L2 ones. This empirical study aimed at shedding light on how tertiary students, who studied English at Vietnam universities, including Nguyen Tat Thanh University and Ho Chi Minh City University of Education, employed the advantages that computerized dictionaries enjoyed over the paper based, traditional forerunners. To be specific, the concentration of this research was on students' preference for specific online dictionaries, their strategies of exploiting this unlimited resource of lexical meanings, as well as the obstacles they still had to encounter; therefore, plausible solutions could be suggested in order to assist both students and instructors in using online dictionaries more effectively and productively. The paper also concluded that the essence of a language or online dictionary would be rapidly developed because it would meet a fundamental human need: learn a language to understand more the culture as well as the cognition.
Extracting Biomolecular Interactions Using Semantic Parsing of Biomedical Text
Venue: AAAI
Year: 2016

We advance the state of the art in biomolecular interaction extraction with three contributions: (i) We show that deep,  Meaning Representations (AMR) significantly improve the accuracy of a biomolecular interaction extraction system when compared to a baseline that relies solely on surface and syntax based features; (ii) In contrast with previous approaches that infer relations on a sentence by sentence basis, we expand our framework to enable consistent predictions over sets of sentences (documents) (iii) We further modify and expand a graph kernel learning framework to enable concurrent exploitation of automatically induced AMR (semantic) and dependency structure (syntactic) representations. Our experiments show that our approach yields interaction extraction systems that are more robust in environments where there is a significant mismatch between training and test conditions.
Effect Digital Learning on Student Motivation during Covid 19
Venue: 2020 8th International Conference on Cyber and IT Service Management (CITSM)
Year: 2020

This study aims to measure the level of student motivation in using digital learning during Covid 19. In conducting this research, the structural equation modeling method is used by using the Partial Least Square (PLS) theory, the software used is SmartPLS 2.0. with the number of responding 190 students. From the proposed hypothesis, there is a significant value, namely digital learning has a positive impact on student learning motivation. The novelty of this study explores the impact of digital learning on student learning motivation during the Covid 19 pandemic, in which few researchers conducted this research.
Locally Decodable Codes with Randomized Encoding
Venue: IACR Cryptol. ePrint Arch.
Year: 2020

We initiate a study of locally decodable codes with randomized encoding. Standard locally decodable codes are error correcting codes with a deterministic encoding function and a randomized decoding function, such that any desired message bit can be recovered with good probability by querying only a small number of positions in the corrupted codeword. This allows one to recover any message bit very efficiently in sub linear or even logarithmic time. Besides this straightforward application, locally decodable codes have also found many other applications such as private information retrieval, secure multiparty computation, and average case complexity. However, despite extensive research, the tradeoff between the rate of the code and the number of queries is somewhat disappointing. For example, the best known constructions still need super polynomially long codeword length even with a logarithmic number of queries, and need a polynomial number of queries to achieve a constant rate. In this paper, we show that by using a randomized encoding, in several models we can achieve significantly better rate query tradeoff. In addition, our codes work for both the standard Hamming errors, and the more general and harder edit errors.
Comparative evaluation of dietary probiotics Bacillus subtilis WB60 and Lactobacillus plantarum KCTC3928 on the growth performance, immunological parameters, gut morphology and disease resistance in Japanese eel, Anguilla japonica
Venue: Fish shellfish immunology
Year: 2017

The current experiment was conducted to evaluate and compare the efficacy of two different probiotics Bacillus subtilis WB60 and Lactobacillus plantarum KCTC3928 in diet of Japanese eel, Anguilla japonica. Seven experimental diets were formulated to contain no probiotics (CON) three graded levels of B. subtilis at 106 (BS1) 107 (BS2) 108 (BS3) and L. plantarum at 106 (LP1) 107 (LP2) 108 (LP3) CFU/g diet. Twenty fish averaging 8.29 0.06 g were distributed in to 21 aquaria and were randomly assigned to one of the experimental diets in triplicate groups. Average weight gain (WG) feed efficiency (FE) and protein efficiency ratio (PER) of fish fed B. subtilis at 107 (BS2) and 108 (BS3) CFU/g diet were significantly higher than those of fish fed other experimental diets (P 0.05) Nonspecific enzymatic activities including lysozyme, superoxide dismutase (SOD) myeloperoxidase (MPO) from fish fed B. subtilis at 107 (BS2) and 108 (BS3) CFU/g diet were detected to be significantly higher than that from fish fed CON diet (P 0.05) Whereas, level of intestine glyceraldehyde 3 phosphate dehydrogenase (GAPDH) heat shock protein 70, 90 (HSP70, 90) and immunoglobulin (IgM) from fish fed B. subtilis at 107 and 108 CFU/g diet were recorded to be significantly higher than those of fish fed other experimental diets (P 0.05) Parameters for intestinal morphology and histology suggested a healthier gut for the fish fed108 (BS3) CFU/g diet as compared to other treatment groups. Whereas, results from the disease challenge test with bacteria Vibrio angulillarum showed significantly lower survival rate for fish fed CON diet than those of fish fed other experimental diets. Therefore, these results indicated that oral supplement of B. subtilis at 108 (BS3) CFU/g diet could be a more effective source of probiotic compared to L. plantarum in Japanese eel. HighlightsPreliminary report comparing two probiotics, Bacillus subtilis WB60 and Lactobacillus plantarum KCTC3928.Differences on the growth performance, survival rate, immune parameters and gut morphology were clearly observed.Oral administration of bacteria spp. B. subtilis at 107 CFU/g kg 1 diet could be a more promising source and dose compared to probiotic L. plantarum in freshwater aquaculture.
Cold plasma treatment to improve the adhesion of cassava starch films onto PCL and PLA surface
Venue: Colloids and Surfaces A: Physicochemical and Engineering Aspects
Year: 2019

Since starch hydrophilicity makes it difficult to be used as packaging material, its combination with synthetic biodegradable polymers is an alternative of interest. In this work, atmospheric air cold plasma was used as an adhesion improver between polycaprolactone (PCL) or poly(lactic acid) (PLA) and starch layers, in order to produce multilayer films. For this, a barrier dielectric discharge plasma reactor was used, at ambient temperature and atmospheric pressure. The treatment of PCL and PLA films resulted in increase of the surface roughness and decrease of the water contact angle. Multilayer films (PCL PLA starch) were produced after plasma treatment. Adhesion of starch films onto both PCL and PLA surfaces was improved with plasma treatment, and the delamination resistance increased with treatment time. The best adhesion was obtained for PLA starch film with 10 min of plasma treatment, resulting in no delamination. The water vapor barrier of the multilayer films was significantly higher than of starch films, while the mechanical properties were similar to those found for PCL/PLA films, showing that these multilayer films are promising for package applications.
Multimodal recognition of interrupted speech: Benefit from text and visual speech cues
Year: 2018

Presenting degraded speech with visual cues facilitates speech recognition. This benefit is observed for visual speech cues that are perceptually correlated with the auditory signal, as well as for text cues that delay integration until a later cognitive linguistic processing stage. However, it is not clear how the benefit compares between these two types of degraded multimodal presentations. The current study examined how listeners integrate visually interrupted text or visual speech cues with acoustically interrupted speech. In Experiment 1, text was periodically interrupted by white space at visual interruption rates that were associated with the auditory interruption rate of speech. In Experiment 2, videos were visually interrupted by grey frames. The synchrony of audio visual interruption was also manipulated by presenting visual cues in phase or 180o out of phase with speech interruptions. For both experiments, speech was low pass filtered at 2000 Hz. Preliminary results indicate that listeners obtain a benefit from both visual speech and text cues. In addition, performance is affected by the interruption rate of speech, with minimal performance obtained around an interruption rate of 2 Hz. Supplementing speech with incomplete visual cues can improve sentence intelligibility and compensate for degraded speech in adverse listening conditions. [Work supported, in part, by NIH/NIDCD. Presenting degraded speech with visual cues facilitates speech recognition. This benefit is observed for visual speech cues that are perceptually correlated with the auditory signal, as well as for text cues that delay integration until a later cognitive linguistic processing stage. However, it is not clear how the benefit compares between these two types of degraded multimodal presentations. The current study examined how listeners integrate visually interrupted text or visual speech cues with acoustically interrupted speech. In Experiment 1, text was periodically interrupted by white space at visual interruption rates that were associated with the auditory interruption rate of speech. In Experiment 2, videos were visually interrupted by grey frames. The synchrony of audio visual interruption was also manipulated by presenting visual cues in phase or 180o out of phase with speech interruptions. For both experiments, speech was low pass filtered at 2000 Hz. Preliminary results indicate that listeners obta.