nils-herrmann/clean_scirepeval huggingface dataset:
Deep Attributed Network Embedding
Venue: IJCAI
Year: 2018

Network embedding has attracted a surge of attention in recent years. It is to learn the lowdimensional representation for nodes in a network, which benefits downstream tasks such as node classification and link prediction. Most of the existing approaches learn node representations only based on the topological structure, yet nodes are often associated with rich attributes in many real world applications. Thus, it is important and necessary to learn node representations based on both the topological structure and node attributes. In this paper, we propose a novel deep attributed network embedding approach, which can capture the high nonlinearity and preserve various proximities in both topological structure and node attributes. At the same time, a novel strategy is proposed to guarantee the learned node representation can encode the consistent and complementary information from the topological structure and node attributes. Extensive experiments on benchmark datasets have verified the effectiveness of our proposed approach.
Certifiably optimal sparse principal component analysis
Venue: Math. Program. Comput.
Year: 2019

This paper addresses the sparse principal component analysis (SPCA) problem for covariance matrices in dimension n aiming to find solutions with sparsity k using mixed integer optimization. We propose a tailored branch and bound algorithm, Optimal SPCA, that enables us to solve SPCA to certifiable optimality in seconds for $n 100$$n=100 s, $k=10$$k=10 s. This same algorithm can be applied to problems with $n=10{}000\\mathrm{s}$n=10,000s or higher to find high quality feasible solutions in seconds while taking several hours to prove optimality. We apply our methods to a number of real data sets to demonstrate that our approach scales to the same problem sizes attempted by other methods, while providing superior solutions compared to those methods, explaining a higher portion of variance and permitting complete control over the desired sparsity. The software that was reviewed as part of this submission has been given the DOI (digital object identifier) https:/doi.org/10.5281/zenodo.2027898.
Nilai nilai humanisme dalam dialog antar agama perspektif Gus Dur
Year: 2020

Gus Dur is a humanist figure. This can be seen from his thought on the conflict resolution and the defence of minority rights which he strugles. The humanistic dialogue is a form of the conflict resolution which is offerred. The basis of the interfaith dialogue that Gus Dur offerred is the concept of religious humanism. This concept rooted in his thoughts on Islamic universalism which tauched the political, economic, and social aspects. There are nine the humanistic values that derrived from the consept of Islamic universalism which become the basis of religious conflict resolution and struggle for the monitity rights, namely: tauhid (monotheism) humanity, equality, liberation, simplicity, brothehood, chivalary, and local wisdom. Gus Dur adalah seorang figur humanis. Hal ini bisa dilihat dari pemikirannya tentang resolusi konflik dan pembelaan hak hak minoritas yang dia perjuangan. Dialog humanistik merupakan bentuk resolusi konflik yang ditawarkan. Basis dialog antar agama yang Gus Dur tawarkan adalah konsep humanisme agama. konsep ini berakar pada pemikirannya tentang universalime Islam yang menjadi basis resolusi konflik agama dan perjuangan hak hak minoritas, yakni: tauhid, kemanusiaan, persamaan, kebebasan, kesederhanaan, persaudaraan, kesatriaan, dan kearifan lokal.
PCR Detection and Phylogenetic Analysis of Megalocytivirus Isolates in Farmed Giant Sea Perch Lates calcarifer in Southern Taiwan
Venue: Viruses
Year: 2020

The Megalocytivirus genus includes three genotypes, red sea bream iridovirus (RSIV) infectious spleen and kidney necrosis virus (ISKNV) and turbot reddish body iridovirus (TRBIV) and has caused mass mortalities in various marine and freshwater fish species in East and Southeast Asia. Of the three genotypes, TRBIV like megalocytivirus is not included in the World Organization for Animal Health (OIE) reportable virus list because of its geographic restriction and narrow host range. In 2017, 39 cases of suspected iridovirus infection were isolated from fingerlings of giant sea perch (Lates calcarifer) cultured in southern Taiwan during megalocytivirus epizootics. Polymerase chain reaction (PCR) with different specific primer sets was undertaken to identify the causative agent. Our results revealed that 35 out of the 39 giant sea perch iridovirus (GSPIV) isolates were TRBIV like megalocytiviruses. To further evaluate the genetic variation, the nucleotide sequences of major capsid protein (MCP) gene (1348 bp) from 12 of the 35 TRBIV like megalocytivirus isolates were compared to those of other known. High nucleotide sequence identity showed that these 12 TRBIV like GSPIV isolates are the same species. Phylogenetic analysis based on the MCP gene demonstrated that these 12 isolates belong to the clade II of TRBIV megalocytiviruses, and are distinct from RSIV and ISKNV. In conclusion, the GSPIV isolates belonging to TRBIV clade II megalocytiviruses have been introduced into Taiwan and caused a severe impact on the giant sea perch aquaculture industry.
Raising Students' Awareness of Social Justice through Civic Literacy
Year: 2019

This research study measured the impact of Project Citizen on Moroccan students' civic literacy. Project Citizen (PC) is a community problem solving curriculum which has been implemented in more than 80 countries worldwide. Using mixed methodology, the authors examined the extent to which students' participation in PC had an impact on developing their civic knowledge, skills, and dispositions, and whether it fostered a commitment to social justice in them. Results indicated that participation in PC increased perceptions of efficacy regarding students' impact on policy as well as their ability to think critically about important local issues. Students also reported a heightened sense of responsibility to address societal problems as well as a need to respect divergent opinions. In regards to issues of social justice, participants indicated that participation increased their commitment to addressing issues of injustice as well as contributing to positive societal change
Supporting English language learners in today's early childhood classrooms
Year: 2012

The purpose of this review is to identify the kind(s) of early childhood instruction and learning environment that best supports students whose primary language is not English. The research examined focused on which teacher strategies used in the classroom improve academic achievement for English Language Learners (ELLs) In addition, the research compared the effects of dual language, or two way immersion (TWI) and monolingual English immersion (El) early childhood education program models on children's learning. A variety of sources were used and synthesized to provide the reader with informational data and recommendations.
Associations between nurse education and experience and the risk of mortality and adverse events in acute care hospitals: A systematic review of observational studies.
Venue: International journal of nursing studies
Year: 2018

To provide knowledge from the summarization of the evidence on the: a) associations between nurse education and experience and the occurrence of mortality and adverse events in acute care hospitals, and; b) benefits to patients and organizations of the recent Institute of Medicine's recommendation that 80% of registered nurses should be educated at the baccalaureate degree by 2020.  A systematic search of English and French literature was conducted in six electronic databases: 1) Medline, 2) PubMed, 3) CINAHL, 4) Scopus, 5) Campbell, and 6) Cochrane databases. Additional studies were identified by searching bibliographies, prior reviews, and by contacting authors.  Studies were included if they: a) were published between January 1996 and August 2017; b) were based on a quantitative research design; c) examined the associations between registered nurse education or experience and at least one independently measured adverse event, and; d) were conducted in an adult acute care setting. Data were independently extracted, analysed, and synthesized by two authors and discrepancies were resolved by consensus. The methodological heterogeneity of the reviewed studies precluded the use of meta analysis techniques. However, the methodological quality of each study was assessed using the STROBE criteria.  Among 2109 retrieved articles, 27 studies (24 cross sectional and three longitudinal studies) met our inclusion criteria. These studies examined 18 distinct adverse events, with mortality and failure to rescue being the most frequently investigated events. Overall, higher levels of education were associated with lower risks of failure to rescue and mortality in 75% and 61.1% of the reviewed studies pertaining to these adverse events, respectively. Nurse education was inconsistently related to the occurrence of the other events, which were the focus of only a small number of studies. Only one study examined the 80% threshold proposed by the Institute of Medicine and found evidence that it is associated with lower odds of hospital readmission and shorter lengths of stay, but unrelated to mortality. Nurse experience was inconsistently related to adverse event occurrence.  While evidence suggests that higher nurse education is associated with lower risks of mortality and failure to rescue, longitudinal studies are needed to better ascertain these associations and determine the specific thresholds that minimize risks. Further studies are needed to better document the association of nurse education and experience with other nursing sensitive adverse events, as well as the benefits to patients and organizations of the Institute of Medicine's recommendation.
Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations
Venue: TACL
Year: 2016

We present a simple and effective scheme for dependency parsing which is based on bidirectional LSTMs (BiLSTMs) Each sentence token is associated with a BiLSTM vector representing the token in its sentential context, and feature vectors are constructed by concatenating a few BiLSTM vectors. The BiLSTM is trained jointly with the parser objective, resulting in very effective feature extractors for parsing. We demonstrate the effectiveness of the approach by applying it to a greedy transition based parser as well as to a globally optimized graph based parser. The resulting parsers have very simple architectures, and match or surpass the state of the art accuracies on English and Chinese.
Breaking out of the national foundations for a multi scalar perspective of socio technical transitions
Year: 2012

The multi level perspective (MLP) is a widely adopted framework for analysing stability, change and transitions in socio technical systems. Key to explanations of change is the interaction between nested levels (niche, regime, landscape) constituting socio technical systems over time. This paper proposes a second generation MLP that explicitly incorporates a spatial dimension. Recent developments in innovation studies and contributions from regional studies and geography are reviewed. We draw on notions of space as being relational, fluid and contested by institutionally situated actors. Dynamics in socio technical systems are explained not only by interactions between modes of structuration and developments over time, but also by interactions between actors and institutions situated across different levels of spatial scale. The paper re visits an existing case study of biomass gasification in India to show the kinds of insights that might emerge from adopting a second generation MLP to socio technical system dynamics.
Comparison of Visual Inertial Odometry using FlightGoggles Simulator for UAV
Venue: 2019 19th International Conference on Control, Automation and Systems (ICCAS)
Year: 2019

Recently, application of Unmanned Aerial Vehicle (UAV) attract much attention of not only academic but also industrial community. To control and make the most of UAV, state estimation is mandatory and it should work accurately on Real time on computational limited onboard PC. Especially, for the cases that GNSS disabled environments or indoor situation, Visual Inertial Odometry using camera and IMU sensor has been actively studied. Generally, to research and develop the indoor navigation algorithm, high performanced and super expensive facilities like motion capture cameras are needed to measure the ground truth. In this paper, we apply state of art Visual Inertial Odometry algorithms for state estimation of UAVs to FlightGoggles simulator which is photorealistic and which reflects UAV's real dynamics. Moreover, we compare the performance and resource utilization of those algorithms.
Equity Beyond Bias in Language Technologies for Education
Venue: BEA@ACL
Year: 2019

There is a long record of research on equity in schools. As machine learning researchers begin to study fairness and bias in earnest, language technologies in education have an unusually strong theoretical and applied foundation to build on. Here, we introduce concepts from culturally relevant pedagogy and other frameworks for teaching and learning, identifying future work on equity in NLP. We present case studies in a range of topics like intelligent tutoring systems, computer assisted language learning, automated essay scoring, and sentiment analysis in classrooms, and provide an actionable agenda for research.
Molecular weight enlargement a molecular approach to continuous homogeneous catalysis.
Venue: Dalton transactions
Year: 2010

Molecular weight enlargement (MWE) is an attractive method for homogeneous catalyst recycling. Applications of MWE in combination with either catalyst precipitation or nanofiltration have demonstrated their great potential as a method for process intensification in homogeneous catalysis. Selected, recent advances in MWE in combination with catalyst recovery are discussed, together with their implication for future developments. These examples demonstrate that this strategy is applicable in many different homogeneously catalyzed transformations.
International assistance for victims of use of nuclear, radiological, biological and chemical weapons: time for a reality check?
Venue: International Review of the Red Cross
Year: 2009

The risks of the use of nuclear, radiological, biological or chemical (NRBC) weapons are heterogeneous. Each risk has its own implications for developing and deploying any capacity to assist victims of an NRBC event and, in parallel, for the health and security of the people bringing this assistance. At an international level, there are no plans for assisting the victims of an NRBC event which are both adequate and safe. Recognizing the realities of the contexts associated with each risk throws up numerous challenges; such recognition is also a prerequisite for addressing these challenges. The realities that have to be considered relate to: 1. developing, acquiring, training for and planning an NRBC response capacity;2. deploying a response capacity in an NRBC event;3. the mandates and policies of international organizations pertaining to NRBC events. The challenges that will pose the greatest difficulty for a humanitarian organization are those for which the solutions are 'non buyable' and which involve making extremely difficult decisions. Attempting to assist victims of an NRBC event without a reality based approach might generate ineffective and unacceptably dangerous situations for those involved.
On Credibility Based Service Function Chain Deployment
Venue: IEEE Open Journal of the Computer Society
Year: 2021

With the advancements of Software Defined Networking and Network Function Virtualization technologies, users can access the software based service function chain (SFC) which is composed of multiple sequential virtual network function (VNF) nodes. Although SFC is more flexible and adaptive in terms of design and deployment, the security risks should not be underestimated. At present, there is a lack of security or risk assessment for SFC, and SFC deployments rarely take their security into account. However, vulnerabilities and risks can cause VNF node failure during operation, which can lead to issues such as disruptions in SFC service and user data leakage. This paper proposes the concept of SFC credibility, which quantifies the authenticity, availability, and reliability of the VNF nodes from both time and space dimensions. Then, a hierarchical credibility evaluation model is built such that VNF nodes can be selected for the user based on their trustworthiness. A credibility based deployment strategy is further designed for SFC and the corresponding VNF forwarding graph. Furthermore, a comparative study with three existing deployment strategies has shown the advantages of the proposed method. The extensive experimental results demonstrate the improved trust degree and the acceptance rate of SFC with a limited budget.
Inner Damage Mechanism of Metal Bar with Thermal Stress
Year: 2009

To obtain the inner damage mechanism of a new type of thermal stress precision cropping bar.A thermal stress coupling model of the bar with an annular V shaped notch in the course of cooling was established.The stress field in the inner of the bar was evaluated by means of ANSYS software.The numerical simulation results show that the axial tension stress gets maximum at 0.34 mm from the bottom of the tip of the V shaped notch on the bar cross section.As the maximal stress and its nearby stress exceed the ultimate yield strength of the material,an annular damage strip in the bar cross section of the V shaped notch and close to V shaped notch tip appears.At the same cycle cool water velocity,the damage strip increases and then decreases with the increase of width of adiabatic boundary,and reaches to the maximum when the width of adiabatic boundary is 2 mm.With the same width of adiabatic boundary,the damage strip increases with the increase of water velocity,and it changes feebly when the water velocity is greater than 5 m/s.The damage strip disappears when the water velocity is equal to 1 m/s.The cropping experimental results show that the cropping time,by heat stress prefabricating an ideal crack at V shaped notch bottom,is reduced by 15% compared with the simplex variable frequency vibration cropping method without the action of the heat stress,which validates the thermal stress behaviors.
Extra virgin olive oil: are consumers provided with the sensory quality they want? A hedonic price model with sensory attributes.
Venue: Journal of the science of food and agriculture
Year: 2018

Over the years, niche differentiation strategies and food policies have pushed quality standards of European extra virgin olive oil towards a product that has a sensory profile consisting of fruity, bitter and pungent notes, with such oils having excellent healthy features. However, it is unclear whether typical consumers are ready for a richer and more complex sensory profile than the neutral one historically found on the market. This potential discrepancy is investigated in the present study aiiming to determine whether current demand is able to appreciate this path of quality enhancement. Implicit prices for each and every attribute of extra virgin olive oil with a focus on sensory characteristics were investigated using a hedonic price model.  Although confirming the importance of origin and terroir for extra virgin olive oil, the results of the present study strongly confirm the discrepancy between what is currently valued on the market and what novel supply trends are trying to achieve in terms of the sensory properties of such products.  Increasing consumer awareness about the direct link between the health quality of oils and their sensory profile appears to be necessary to make quality enhancement programs more successful on the market and hence more effective for companies.
3D imaging scanner.
Venue: Applied optics
Year: 2018

This paper proposes a multi view three dimensional display method based on a scanning imaging system with the light intensity characteristic recorded by an improved flatbed scanner. Within the effective scanning depth of the imaging sensor, two transmission images are each simultaneously acquired by two linear CCD modules with different focal planes. Then the phase gradient information of the target can be obtained by an appropriate retrieval algorithm. Further, the multi view three dimensional effect is presented through dynamic angles of view. Theoretical analysis of this method is discussed, and experiments are carried out by building a scanner. The experiment results are presented with an algae specimen and transparent beads. We hope this method can be applied to present the three dimensional effect of objects of flat translucent multilayer structure with a wide field of view.
Complete large margin linear discriminant analysis using mathematical programming approach
Venue: Pattern Recognit.
Year: 2013

In this paper, we develop a novel dimensionality reduction (DR) framework coined complete large margin linear discriminant analysis (CLMLDA) Inspired by several recently proposed DR methods, CLMLDA constructs two mathematical programming models by maximizing the minimum distance between each class center and the total class center respectively in the null space of within class scatter matrix and its orthogonal complementary space. In this way, CLMLDA not only makes full use of the discriminative information contained in the whole feature space but also overcome the weakness of linear discriminant analysis (LDA) in dealing with the class separation problem. The solutions of CLMLDA follow from solving two nonconvex optimization problems, each of which is transformed to a series of convex quadratic programming problems by using the constrained concave convex procedure first, and then solved by off the shelf optimization toolbox. Experiments on both toy and several publicly available databases demonstrate its feasibility and effectiveness.