nils-herrmann/clean_scirepeval huggingface dataset:
On the Importance of Attention in Meta Learning for Few Shot Text Classification
Venue: ArXiv
Year: 2018

Current deep learning based text classification methods are limited by their ability to achieve fast learning and generalization when the data is scarce. We address this problem by integrating a meta learning procedure that uses the knowledge learned across many tasks as an inductive bias towards better natural language understanding. Based on the Model Agnostic Meta Learning framework (MAML) we introduce the Attentive Task Agnostic Meta Learning (ATAML) algorithm for text classification. The essential difference between MAML and ATAML is in the separation of task agnostic representation learning and task specific attentive adaptation. The proposed ATAML is designed to encourage task agnostic representation learning by way of task agnostic parameterization and facilitate task specific adaptation via attention mechanisms. We provide evidence to show that the attention mechanism in ATAML has a synergistic effect on learning performance. In comparisons with models trained from random initialization, pretrained models and meta trained MAML, our proposed ATAML method generalizes better on single label and multi label classification tasks in miniRCV1 and miniReuters 21578 datasets.
Selecting Useful Knowledge from Previous Tasks for Future Learning in a Single Network
Venue: 2020 25th International Conference on Pattern Recognition (ICPR)
Year: 2021

Continual learning can learn new tasks incrementally while avoiding catastrophic forgetting. Recent work has shown that packing multiple tasks into a single network incrementally by iterative pruning and re training network is a promising method. We build upon this idea and propose an improved version of PackNet. Specifically, we propose a novel gradient based threshold method to reuse the knowledge of the previous tasks selectively when learning new tasks. Our experiments on a variety of classification tasks and different network architectures demonstrate that our method obtains competitive results when compared to PackNet.
Everyday Life and the Sacred: Gender Sensitive Explorations Introduction
Year: 2017

Feminist theologians and feminist scholars of religious studies traditionally question thinking in dichotomies, in particular, when binary distinctions capture or steer our understanding of religion and gender.1 Formative theorists of religion like Emile Durkheim, Rudolf Otto, and Mircea Eliade have enthroned the difference between the sacred and the profane in their efforts to touch the heart of religion in and for contemporary times. The need to scrutinize this common and widespread classification has been part of feminist scholarship from the beginning.2 Mary Daly already pleaded for the deconstruction of the distinction between the sacred and the profane, because both often served where they are extremely simplified or made absolute to exclude women from religious authority or religious rituals. Daly argued that the sacred is predominantly associated with transcendence and the masculine, while the profane is coupled with the mundane and the feminine.3 Melissa Raphael, the author of several ground breaking books on the sacred from a feminist theological perspective, provided important new impulses to this debate. She proposes not to consider the sacred and profane as ontological or universal categories, but rather
The impact of the lockdown and the re opening of schools and day cares on the epidemiology of SARS CoV 2 and other respiratory infections in children A nationwide register study in Finland
Venue: EClinicalMedicine
Year: 2021

Nationwide restrictions started in Finland in March to prevent the spread of COVID 19, leading to school and day care closures. The aim of this study is to describe the effect of closures and re openings on the respiratory pathogen epidemiology.  Laboratory confirmed cases of SARS CoV 2; respiratory syncytial virus (RSV) influenza (A B) parainfluenza adeno and rhinoviruses; Mycoplasma pneumoniae; and Streptococcus pneumoniae in children were collected from the National Infectious Disease Register over the period of 2017 2020. Weekly incidences (weeks 1 to 35) with 95% confidence intervals (CIs) were calculated per 100 000 children in 2020 and compared by incidence rate ratios (IRRs) to corresponding periods in 2017 2019.  The lockdown had immediate impact on the incidences of respiratory pathogens except SARS CoV 2. Week after the lockdown began IRR was 0*3 (CI 0*3 0*4) and next week the IRR was 0*1 (0*1 0*2) The incidence of SARS CoV 2 started to decline eight weeks after the lockdown began. The highest recorded weekly incidence of SARS CoV 2 was 7*2/100 000 children. The effect of the lockdown lasted until late summer. Rhinovirus and SARS CoV 2 began to increase before the schools or day cares opened in August. The re opening of schools seemed to have no impact on the incidence of any pathogen.  Our results suggest that general social distancing, including school and day care closures, played a crucial role in reducing infections, and the effect lasted for several weeks. The re opening of schools and day care centres seems to have had no immediate impact on the incidences of any respiratory pathogens.
Analyzing Throughput for Cyber Physical Systems modeled with Synchronous Dataflow
Venue: CPS Summer School, PhD Workshop
Year: 2019

Cyber Physical System (CPS) is a critical system in which timing performance is often required. Throughput is a performance indicator of interest when designing a CPS. Analyzing throughput reachable by a CPS at design time implies to optimize the behaviour of the system in such a way that it may run with an optimal frequency. This can be achieved by using synchronous dataflow graphs (SDFGs) which is a formal model of computation that fosters the analysis of systems where performance is always prominent. In this paper, we discuss on the throughput estimation for CPS applications modeled with the SDFGs. In order to evaluate the optimal throughput reachable by a CPS application, we use SDFGs to describe computations and communications in the CPS application and we propose a mathematical formulation of scheduling and mapping decisions in order to deploy the behavioural model of the CPS onto a platform, which essentially consists of heterogeneous and distributed resources.
Cross Layer Attention Network for Small Object Detection in Remote Sensing Imagery
Venue: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Year: 2021

In recent years, despite the tremendous progresses of object detection, small object detection has always been a challenge in the field of remote sensing. The main reason is that small objects cover few features that are easily lost during down sampling. In this article, we propose a cross layer attention network aiming to obtain stronger features of small objects for better detection. Specifically, we designed an up sampling and down sampling feature pyramid to obtain richer context information by bidirectionally fusing deep and shallow features, as well as skipping connections. Moreover, a cross layer attention module is designed to obtain the nonlocal association of small objects in each layer, and further strengthen its representation ability through cross layer integration and balance. Extensive experiments on the publicly available datasets (DIOR dataset and NWPUVHR 10 dataset) and the self assembled datasets (SDOTA dataset and SDD dataset) show the excellent performance of our method compared with other detectors. Moreover, our method achieved 74.3% mAP on the public DIOR dataset without any tricks.
Cotatron: Transcription Guided Speech Encoder for Any to Many Voice Conversion without Parallel Data
Venue: INTERSPEECH
Year: 2020

We propose Cotatron, a transcription guided speech encoder for speaker independent linguistic representation. Cotatron is based on the multispeaker TTS architecture and can be trained with conventional TTS datasets. We train a voice conversion system to reconstruct speech with Cotatron features, which is similar to the previous methods based on Phonetic Posteriorgram (PPG) By training and evaluating our system with 108 speakers from the VCTK dataset, we outperform the previous method in terms of both naturalness and speaker similarity. Our system can also convert speech from speakers that are unseen during training, and utilize ASR to automate the transcription with minimal reduction of the performance. Audio samples are available at this https URL, and the code with a pre trained model will be made available soon.
Explorando la influencia y el desarrollo practico del comportamiento psicosocial de los entrenadores en fuerza y acondicionamiento
Year: 2019

La investigacion sugiere que las caracteristicas psicologicas y los comportamientos sociales (ej. cognitivo, personal, comportamental,y competencias eticas) contribuyen al desarrollo de la eficacia de entrenamiento y esto no deberia ser descuidado por los entrenadores de fuerza y acondicionamiento (EFA) Esta revision examina la literatura actual sobre la influencia de las caracteristicas psicosociales y los comportamientos de los EFAS en el desarrollo de los deportistas de elite. Ademas, esta revision proporciona sugerencias practicas y guias para entrenadores senior y junior para desarrollar dichas conductas psicosociales utilizando teorias constructivas de aprendizaje en funcxion de la reflexion, historias, tutorias y practicas.
Emotion regulation and decision making in persons with dementia: A scoping review
Venue: Dementia
Year: 2020

Emotion is integral to decision making, and emotion regulation is associated with improved well being in older age. Persons with dementia are likely to experience impairments in emotion regulation processes that can potentially contribute to differential decision making and well being outcomes. To promote the development of theoretical models of well being in dementia, we review the quantitative evidence concerning the associations between emotion regulation and decision making in dementia.  Scoping review.  Seven studies of persons with dementia met our criteria. In persons with frontotemporal lobar degeneration, emotion regulation processes that precede the emotional experience were associated with decision making in a moral (but not uncertainty) context. Independent of type of dementia, evidence concerning the associations between emotion regulation processes that occur after emotion is experienced and decision making was mixed and drew on different methodologies. No studies relating to the associations between decision making in dementia and several emotion regulation processes and strategies were found.  In this review, we sought to clarify the concept of everyday decision making in dementia and map the current state of evidence concerning its associations with emotion regulation. Our findings show that emotion regulation processes are associated with decision making in dementia, depending on type of decision making assessment and emotional experience. We outline the gaps in the literature to set a research agenda for promoting our understanding of how emotion regulation processes can shape the various decisions that are made by persons with dementia on a daily basis.
Woody species as landscape modulators: their effect on the herbaceous plants in a Mediterranean maquis
Venue: Plant Ecology
Year: 2009

Abstract"Landscape modulators" are ecosystem engineers that have an impact on community structure by creating patches in the landscape mosaic. Our aim was to study the effect of evergreen trees, as landscape modulators, on herbaceous plants in a Mediterranean maquis system in northern Israel. We examined the effects of canopy removal and cattle grazing on species richness, plant functional types, and rare plant species in two patch types: (1) woody under tree canopy (or the location of a removed canopy) (2) herbaceous in open areas with no tree canopy. Patch type and tree removal affected species richness and plant functional types. The extreme negative effect of the woody patch type on species richness disappeared soon after the removal of the landscape modulator canopy. We conclude that the dominant effect of the evergreen woody landscape modulators can be regulated by canopy removal and grazing for maintaining patch type and landscape diversities, and consequent high species richness in Mediterranean ecosystems, which is a main goal of global nature conservation policy.
Zero refraction in natural materials and the mechanism of metal superlens
Year: 2012

We found that a single negative material has the characteristic of zero refraction in near field, and point out that the mechanism of a metal superlens to image with a resolution exceeding the diffraction limitation is different from that of a perfect lens made of a double negative material. The principle of metal superlens is disclosed. Our numerical results based on the zero refraction characteristic is well in agreement with the experimental results. This work brings new understanding about the single negative materials and will lead to the applications of the superlens in the right direction.
Student information system satisfaction in higher education: the role of visual aesthetics
Venue: Kybernetes
Year: 2018

The purpose of this study is to explore the role of visual aesthetics as a key in generating satisfaction in student information system (SIS) users and to discover relationships to other antecedents. This work has also studied how gender discriminates those relationships.  DeLone and McLean's model of information systems success, visual aesthetic and gender socialisation theory are used as a theoretical framework for the study. An explanatory model was proposed based on the previous literature, and then this model was validated using a sample of undergraduate students. Partial Least Squares was chosen as the approach to conduct the statistical analysis.  First, the findings show that the variance explained by the proposed model in user satisfaction of SIS is 67 per cent. Second, visual aesthetics has a significant direct effect on user satisfaction of SIS, but the indirect effect is much higher, through its relationship to system quality and information quality. Third, the results indicate that there are significant differences between men and women in the direct relationship between visual aesthetics and user satisfaction of SIS, and this relationship being much more intense in the case of women.  The study highlights the role of visual aesthetics as a variable that explains user satisfaction in information systems; this fact emphasises on the importance of taking into account aesthetics when designing information systems. In addition, the findings support the existence of a novel relationship between visual aesthetics and information quality. Finally, new evidence on gender differences concerning user satisfaction in information systems is presented; this result indicates in the opposite direction to recent studies that imply a certain homogenisation of gender in relation to the perceptions associated with the technologies of the information.
Effect of energy absorbing materials on the mechanical behaviour of hybrid FRP honeycomb core sandwich composites
Venue: Materials Research Innovations
Year: 2019

Hybrid FRP (70 of carbon and 30 of 'E' glass) is used to develop the honeycomb core sandwich panels filled with energy absorbing materials by Vacuum bag moulding technique.Mechanical behaviour of the sandwich panels has been experimentally investigated by three point bending, edgewise compression, flatwise compression and Charpy impact tests as per the ASTM standards. The failure mechanisms of the tested composites are analysed through Macro morphology. Experimental results indicated that though the change of materials satisfactorily increased the mechanical properties, the PUF filled honeycomb sandwich panel improved the high strength, specific stiffness, critical load and rigidity than other two sandwich structures. The experimental values are analyzed in ANSYS 16.0 Release software. On analyzing the performance of the composites, the PUF filled Hybrid FRP sandwich panel is best suitable at low cost and lightweight structures such as marine vehicles, airplane floors and helicopter fuselages.
Offending and Victimization in the Digital Age: Comparing Correlates of Cybercrime and Traditional Offending Only, Victimization Only and the Victimization Offending Overlap
Year: 2019

Cybercrime research suggests that, analogous to traditional crime, victims are more likely to be offenders. This overlap could be caused by shared risk factors, but it is unclear if these are comparable to traditional risk factors. Utilizing a high risk sample of computer dependent cyber offenders and traditional offenders (N 535) we compare victimization, offending, and victimization offending between cybercrime and traditional crime. Cybercrime results show a considerable victim offender overlap and correlates like low self control and routine activities partly explain differences in victimization, offending, and victimization offending. Some cybercrime correlates are related to the digital context, but show similar patterns for cybercrime and traditional crime.
A framework for evaluating QinU based on ISO/IEC 25010 and 25012 standards
Venue: 2015 9th Malaysian Software Engineering Conference (MySEC)
Year: 2015

Quality in Use (QinU) is one of the most important quality aspects of a web application, which represent users' viewpoint. Measuring QinU gives a strong indicator on the success of web applications. In addition, it has been used frequently to evaluate the overall quality of web applications. There are many studies in QinU that enriched the science of web engineering. However, contributions of these studies were dispersed and usually address a certain aspect of QinU. This study attempts to gather and improve the best contributions of the previous studies in a conceptual framework to evaluate QinU based on ISO/IEC 25010 and 25012 standards. The outcome is a proposed framework, which will demonstrate the procedural flow between different stakeholders (Decision maker, Evaluator, Developer and End user) This procedural flow affects the evaluation process of web application quality. Furthermore, the framework demonstrates the process of measuring QinU attributes by implementing the proposed Quality in Use Evaluation Model (QinUEM) The future works are to evaluate the Quality in Use of several web applications using the proposed conceptual framework and test the results using quantitative and qualitative methods.
Research on the Early Warning Mechanism of Cold Chain Logistics Risk of Fresh Agricultural Products
Year: 2020

In recent years, fresh agricultural product safety incidents have emerged one after another, and the quality risk of fresh agricultural products has become a pain in the cold chain. This research first summarizes the status quo of cold chain logistics of fresh agricultural products and the research results of related literature, proposes the direction and purpose of this research, and then establishes a risk warning system for the cold chain logistics risks of fresh agricultural products; conducts relevant through expert interviews, questionnaires, etc. Data collection, combined with the characteristics of the cold chain logistics of fresh agricultural products, sorted out a first level risk indicator system based on processing risk, packaging risk, transportation risk, inventory risk, management risk, and information risk; finally, SPSS 21.0 was used for data analysis and established The linear equation constructs a cold chain logistics risk early warning model for fresh agricultural products, which provides quantifiable results for fresh agricultural products enterprises, verifies the feasibility of the model through empirical analysis, and further enriches the research on fresh agricultural products, which has certain reality Meaning and academic value.
Role of Deficient DNA Mismatch Repair Status in Patients With Stage III Colon Cancer Treated With FOLFOX Adjuvant Chemotherapy: A Pooled Analysis From 2 Randomized Clinical Trials
Venue: JAMA oncology
Year: 2018

The prognostic impact of DNA mismatch repair (MMR) status in stage III colon cancer patients receiving FOLFOX (folinic acid, fluorouracil, and oxaliplatin) adjuvant chemotherapy remains controversial.  To determine the association of MMR status with disease free survival (DFS) in patients with stage III colon cancer treated with FOLFOX.  The evaluated biomarkers for MMR status were determined from prospectively collected tumor blocks from patients treated with FOLFOX in 2 open label, phase 3 randomized clinical trials: NCCTG N0147 and PETACC8. The studies were conducted in general community practices, private practices, and institutional practices in the United States and Europe. All participants had stage III colon adenocarcinoma. They were enrolled in NCCTG N0147 from February 2004 to November 2009 and in PETACC8 from December 2005 to November 2009.  Patients in the clinical trials were randomly assigned to receive 6 months of chemotherapy with FOLFOX or FOLFOX plus cetuximab. Only those patients treated with FOLFOX alone were included in the present study.  Association of MMR status with DFS was analyzed using a stratified Cox proportional hazards model. Multivariable models were adjusted for age, sex, tumor grade, pT/pN stage, tumor location, ECOG (Eastern Cooperative Oncology Group) performance status, and BRAF V600E mutational status.  Among 2636 patients with stage III colon cancer treated with FOLFOX, MMR status was available for 2501. Of these, 252 (10.1% showed deficient MMR status (dMMR; 134 women, 118 men; median age, 59 years) while 2249 (89.9% showed proficient MMR status (pMMR; 1020 women, 1229 men; median age, 59 years) The 3 year DFS rates in the dMMR and pMMR groups were 75.6% and 74.4% respectively. By multivariate analysis, patients with dMMR phenotype had significantly longer DFS than those with pMMR (adjusted hazard ratio, 0.73; 95% CI, 0.54 0.97; P .03)  The deficient MMR phenotype remains a favorable prognostic factor in patients with stage III colon cancer receiving FOLFOX adjuvant chemotherapy.
Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation
Venue: ACL
Year: 2019

Disentangling the content and style in the latent space is prevalent in unpaired text style transfer. However, two major issues exist in most of the current neural models. 1) It is difficult to completely strip the style information from the semantics for a sentence. 2) The recurrent neural network (RNN) based encoder and decoder, mediated by the latent representation, cannot well deal with the issue of the long term dependency, resulting in poor preservation of non stylistic semantic content. In this paper, we propose the Style Transformer, which makes no assumption about the latent representation of source sentence and equips the power of attention mechanism in Transformer to achieve better style transfer and better content preservation.