nils-herrmann/clean_scirepeval huggingface dataset:
Simulating the construction of conceptual space architecture to explore the potential of combined asteroid mining and space based 3d manufacturing
Year: 2019

Space based manufacturing is considered a crucial next step for the further development of human settlement in space. There are vast quantities of building resources distributed throughout space, with asteroids among the most apparent candidates for large scale mining and resource provision. In this presentation, we present a hybrid simulation model in which building materials extracted from asteroids are used in a differential 3D manufacturing process to create expanding modular space architecture. This work is part of the larger research programme E|A|S (Evolving Asteroid Starships) in which concepts for self developing and evolvable interstellar spacecraft are being created by the DSTART team at Delft University of Technology. A high level 'factory model' has been created that simulates the different steps of an entire production chain. The functions of the core disjunct components of the model range from mining, processing, storage, and 3D printing to biological life support and habitation. The model's backbone consists of a heuristic based on a decision tree that handles multiple incoming production requests. Architectural production is needed to cope with (1) population growth of the inhabitants, and (2) the need for replacement of modules due to space weathering caused by particle impact and structural fatigue caused by high energy cosmic radiation. The simulation model combines DEVS (discrete event system specification) and DESS (differential equation system specification) approaches and includes an abstract animated visualization. The model allows the user to keep track of material flows, bottlenecks and production efficiencies. In a series of simulation experiments three parameters are varied: (1) system properties (including aspects such as processing speed and storage capacity) (2) resource availability (by varying the chemical composition of the asteroids) and (3) production demand (which depends on population dynamics and the need for module replacement) These experiments are designed to increase understanding of the performance of the envisioned system under different conditions. In this paper, the results of these different simulation experiments are described and compared. The relevance for the larger project goals of E|A|S are discussed, and conclusions are drawn for future research on evolvable space architecture concepts.
Triple Band MIMO Antenna System for 5G Mobile Terminals
Venue: 2019 International Workshop on Antenna Technology (iWAT)
Year: 2019

A 4 antenna array for multiple input multiple output (MIMO) applications in future fifth generation (5G) mobile terminals is presented in this paper. The antenna array consists of four triple band antennas which can cover 5G new radio (NR) including n77 (3.3 4.2GHz) and n79 (4.4 5GHz) and 5GHz wireless wide area network (WLAN) operation in 5.15 5.85GHz. The proposed antenna array was fabricated and measured. The measured total efficiency over 60% and isolation better than 14dB between each port were obtained. Envelope correlation coefficient (ECC) and channel capacity (CC) were also analyzed to evaluate the antenna performance.
Predictive and Prescriptive Analytics in Healthcare: A Survey
Venue: ANT/EDI40
Year: 2020

Over the years, health area has received numerous studies on how to improve its management and administration activities and, fundamentally, the Healthcare provided to its patients. Currently, there is an exponential growth of data in the health system. In this sense, it is crucial the implementation of technologies capable of using it in a beneficial way for the organization, helping it to fulfill its strategic objectives. Subsequently, this same data, if used correctly, has the capacity to assist the organization at an administrative level, as well as at the level of patient care, using predictive and optimization models capable of revolutionizing the current health system. Thus, this article aims to identify the advances that have been made in this area, focusing on the development of predictive and optimization techniques, applied in Health, and how these can improve the lives of managers, doctors and patients.
Influence of remaining coronal tooth structure on fracture resistance and failure mode of restored endodontically treated maxillary incisors
Venue: The Journal of prosthetic dentistry
Year: 2018

Limited information is available on the effect of an incomplete ferrule because of the varying residual axial wall heights and the volume of residual tooth structure on the fracture resistance of endodontically treated and restored maxillary incisors.  The purpose of this in vitro investigation was to examine the effect of varying residual axial wall heights, residual coronal tooth structure, and the absence of 1 proximal axial wall on the fracture resistance and failure mode of endodontically treated teeth restored with metal posts.  Sixty intact human maxillary central incisors were divided into 6 groups (n=10) no ferrule (NF) 2 mm complete ferrule (CF2) 2 mm (IF2) 3 mm (IF3) and 4 mm (IF4) incomplete ferrules missing a single interproximal wall, and a control group that had a 6 mm incomplete ferrule (IF6) Cast metal post and cores were placed in all experimental specimens except for controls. Control specimens received 1 interproximal cavity preparation extending to the root canal access and a composite resin restoration. Complete metal crowns were then cemented on all specimens. Completed specimens were subjected to thermocycling (6000 cycles, 5degC/55degC) followed by the immediate testing of fracture resistance. Failed specimens were sectioned buccolingually and evaluated to identify the failure mode. The data were analyzed with an analysis of variance (ANOVA) and the Student Newman Keuls multiple comparison test &agr;.05) Results. An incomplete ferrule (IF2) with 1 interproximal wall missing had significantly reduced fracture resistance (697 N) compared with a complete ferrule (932 N) An increase of 3 to 4 mm of remaining wall height improved fracture resistance, from 844 N (IF3) to 853 N (IF4) Partial decementation was noticed in 8 NF and 5 IF2 specimens. IF3 and IF4 had no decementations. Radicular fractures and cracks (catastrophic failure) were observed in all IF2, IF3, and IF4, 9 CF2, and 6 NF specimens. In 7 specimens without posts (IF6, control) composite resin foundation and/or coronal dentin fracture were observed and the failure was considered repairable.  The results of this in vitro study indicated that specimens with a 2 mm ferrule of uniform height were more resistant to fracture than specimens with a 2 mm ferrule and 1 missing interproximal wall. An increased wall height of 3 or 4 mm was associated with a significant increase in fracture resistance and can compensate for the missing interproximal wall.
The next generation of antimicrobial peptides (AMPs) as molecular therapeutic tools for the treatment of diseases with social and economic impacts
Venue: Drug Discovery Today
Year: 2017

Anti infective drugs have had a key role in the contemporary world, contributing to dramatically decrease mortality rates caused by infectious diseases worldwide. Antimicrobial peptides (AMPs) are multifunctional effectors of the innate immune system of mucosal surfaces and present antimicrobial activity against a range of pathogenic viruses, bacteria, and fungi. However, the discovery and development of new antibacterial drugs is a crucial step to overcome the great challenge posed by the emergence of antibiotic resistance. In this review, we outline recent advances in the development of novel AMPs with improved antimicrobial activities that were achieved through characteristic structural design. In addition, we describe recent progress made to overcome some of the major limitations that have hindered peptide biosynthesis.
The association of tax education and tax compliance: A case of UUM accounting students
Year: 2014

Making taxpayer Comply with tax payment has not been easy to for any government. Many eligible taxpayers do not comply with their tax obligations annually which probably emanates from lack of basic knowledge on taxation and low compliance morale. When people are ignorant of tax laws, they will find it difficult to comply with the tax laws, especially in relation to tax computation. They may also be ignorant of how taxation revenue contributes towards funding government's day to day activities. In order to have citizens with the basic knowledge on taxation laws, and how taxation revenue contributes to development, taxation education is therefore imperative. Through education, individual can acquire new knowledge, which in turn can influence their behaviour or morale reasoning. Having said that, this study examines how taxation courses taught in Universiti Utara Malaysia, influence the tax compliance morale of the undergraduate accounting students. It also explores the perceptions of the taxation instructors on the relevance of taxation courses in creating tax compliance morale. Mixed method of data collection was applied. Questionnaires were administered to 122 undergraduate accounting students, while interviews were conducted with four taxation lecturers. Overall findings indicate that taxation education has an association with tax compliance. Taxation education impacts the basic tax knowledge of those who attended the classes. Findings also show that the lecturers interviewed are of the opinion that inclusion of taxation course in the syllabus of non accounting students can go a long in changing the mindset of future taxpayers. The study recommends the inclusion of ethics in the principles of taxation and tax morale case studies. There is a limitation in this study from not using a greater number of respondents during the survey
Something Else: Compositional Action Recognition With Spatial Temporal Interaction Networks
Venue: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Year: 2020

Human action is naturally compositional: humans can easily recognize and perform actions with objects that are different from those used in training demonstrations. In this paper, we study the compositionality of action by looking into the dynamics of subject object interactions. We propose a novel model which can explicitly reason about the geometric relations between constituent objects and an agent performing an action. To train our model, we collect dense object box annotations on the Something Something dataset. We propose a novel compositional action recognition task where the training combinations of verbs and nouns do not overlap with the test set. The novel aspects of our model are applicable to activities with prominent object interaction dynamics and to objects which can be tracked using state of the art approaches; for activities without clearly defined spatial object agent interactions, we rely on baseline scene level spatio temporal representations. We show the effectiveness of our approach not only on the proposed compositional action recognition task but also in a few shot compositional setting which requires the model to generalize across both object appearance and action category.
Deformation Theory of Algebraic and Geometric Structures
Year: 2016

S. Lie discovered in 1890 the "Lie pseudogroups" namely the groups of transformations solutions of systems of partial differential (PD) equations. During the next fifty years, these groups have only been studied by E. Cartan and E. Vessiot but the "Vessiot structure equations" are still unknown today. In the meantime, a "formal theory" of systems of PD equations has been pioneered by M. Janet in 1920. Then, the physicists E. Inonu and E.P. Wigner introduced in 1953 the concept of "deformation of a Lie algebra" by considering the speed of light as a parameter in the Lorentz composition of speeds. This idea led to the "deformation theory of algebraic structures" and the first applications of computer algebra. A few years later, a "deformation theory of geometric structures" has been introduced by D.C. Spencer and coworkers who used the formal theory of PD equations they had developped for studying "Lie pseudogroups" The existence of a link between these two deformation theories has been conjectured but never found. This book solves this conjecture for the first time by using new mathematical methods. It will be of interest for students and researchers in mathematics and physics.
Presence and stability of B complex vitamins in bee pollen using different storage conditions.
Venue: Food and chemical toxicology an international journal published for the British Industrial Biological Research Association
Year: 2013

This study has the objective of evaluating the stability of B complex vitamins and its vitamers, for a period of 1year of storage. The pollen samples were stored under room temperature (with and without light) and frozen. The vitamins were quantified by HPLC with fluorescence detection. All proposed vitamins were found in the samples and the dehydration process did not interfere in vitamin content. The variations were (dry basis) 0.59 1.09mg/100g (B(1) 1.73 2.56 (B(2) 6.43 15.34 (PP) and 0.33 0.68 (B(6) After 1year of storage, it can be stated that vitamin B(1) concentration remained constant, while for the others, the concentration loss was dependent on time rather than on storage conditions. All samples were considered vitamin B(2) sources. The influence of the storage time in the concentrations of vitamin B(6) and PP was explained mathematically, through linear regression equations of multivariate analysis.
Visual Decision Making in Real Time Business Intelligence: A Social Media Marketing Example
Venue: HICSS
Year: 2018

This paper presents a study into the use of visualizations in real time business intelligence. Different visualization designs for a social media marketing use case are tested and evaluated through the lens of cognitive load theory. By reducing the complexity of visualizations and subsequently cognitive load, end users can achieve markedly improved decision making performance in situations where time is critical and data is fast paced.
Design and Realization of Indoor Air Odor Control System Based on STM32 Single Chip Microcomputer
Year: 2018

With the design and realization of indoor air odor control system as research objective and based on the brief introduction to a detection control system at home and abroad and its development trend, this study introduces sensor technology to the main indoor air odor (formaldehyde and ammonia gas) and air temperature and humidity which seriously threaten people's health. On the basis of a brief analysis of the overall structure of the indoor air odor control system and the detailed design of the system's lower electro mechanical circuit and system software, this study sets up an indoor air odor control system with PC as platform and STM32 single chip microcomputer as core. The test of the system shows that the system can realize real time monitoring of indoor air odor, temperature and humidity, and can get the overall quality level of indoor environment, with certain feasibility and practical value.
Unnecessary and incompatible: a critical response to Cooper and McLeod's conceptualization of a pluralistic framework for person centered therapy
Year: 2020

The aim of this paper is to critically examine the axiom of Cooper and McLeod that the person centered approach should incorporate pluralistic practices based on clients' goals and wants. First, we examine Cooper and McLeod's argument that the uniqueness of clients means that therapeutic work should orientate around helping clients to identify what they want and how to achieve it. Second, we examine their position that the theories that the therapist may hold about therapeutic change should be subordinate to the client's specific wants and needs. Finally, we consider their assertion that there is a need to reconceptualize person centered theory with a pluralistic framework. The person centered approach has its own unique ontological position based on a trust in the actualizing tendency of all organisms. If by pluralism Cooper and McLeod are proposing ontological eclecticism, then this is fundamentally incompatible with the person centered approach. In terms of method, the person centered approach was already pluralistic; if this is what Cooper and McLeod mean by pluralistic, then what they are proposing is simply old wine in a new bottle.
Measurement of Service Quality using SERVQUAL model in a Mining Environment
Year: 2020

This study applied the reformed service quality model developed by Parasuraman to measure the service quality level and the gaps between perceptions and expectations of a motor company located in a mining environment (Francistown) The data from the three part survey questionnaire was used to examine gaps between perceptions and expectations of the respondents. The findings from a sample of 140 customers show that the service quality level of vehicle repair service department (VRSD) did not fully meet the expectations of the customers of VRSD and gaps were observed in all five dimensions. Paired t test used to test the significance of difference between out of warranty responses and under warranty responses for expectation and perceptions showed that there were no significant differences between the two groups of customers. Finally the correlation analysis confirmed the strength of the relationship between the service quality and the dimensions studied. Recommendations are made to bridge the gaps between perception and expectation
Using SNP/INDEL diversity patterns to identify a core group of genotypes from FVC11, a superior hybrid family of Fragaria virginiana Miller and F. chiloensis (L. Miller
Venue: Genetic Resources and Crop Evolution
Year: 2019

A diverse strawberry family (FVC11) was created by intercrossing elite native clones of the progenitor species of F. x ananassa Duchesne in Lamarck [F. virginiana Miller x F. chiloensis (L. Miller] The impressive performance of FVC11 led us to identify a core subset within the family for conservation and breeding purposes. Cluster procedures were conducted on the phenotypic data of 16 traits and 29,251 SNP data generated using the genome wide SNP array, Affymetrix Axiom IStraw90TW. To select a core group, the best performing individuals were identified in each of the major clades shown in the phenographs derived from the genotypic and phenotypic data. A subgroup of 10 individuals was selected that represents most of the genetic diversity in FVC11.
N Heterocyclic Carbene Complexes in C H Activation Reactions.
Venue: Chemical reviews
Year: 2020

In this contribution, we provide a comprehensive overview of C H activation methods promoted by NHC transition metal complexes, covering the literature since 2002 (the year of the first report on metal NHC catalyzed C H activation) through June 2019, focusing on both NHC ligands and C H activation methods. This review covers C H activation reactions catalyzed by group 8 to 11 NHC metal complexes. Through discussing the role of NHC ligands in promoting challenging C H activation methods, the reader is provided with an overview of this important area and its crucial role in forging carbon carbon and carbon heteroatom bonds by directly engaging ubiquitous C H bonds.
e Taxation: the attitude and intention to use technology in Malaysia
Year: 2016

The changing trend to electronic device instead of manual filing system could enhance the collection of revenue and expedite the process.In fact, it could help in reducing the burden and time of routine task.However, the acceptability level is still a major concern in certain area in government applications, particularly in Malaysia (Abdul Aziz Idris, 2012).The allocation of a huge amount in upgrading the technology is seems to be wasted as there are certain operations not fully utilized the resources provided by the government.The evidence of unsatisfactory acceptance level specifically in the tax e filing system introduced by the Inland Revenue Board of Malaysia is one of the concerns.The main objective of this study is to gain understanding on the gaps existed in the e filing among the tax agents/preparer.In seeking for the imperative answers, this research is design for the following objectives: (1) to identify the factors affected the behavioral intention to accept tax e filing among tax agents/preparers in Malaysia; and (2) to determine the relationship between attitude and intention to use tax e filing among tax agents/prepares in Malaysia.Via the Structural Equation Modeling (SEM) it is revealed and supported that Performance and Effort Expectancies as well as Social Influence are the significant paths in influencing the behavioral intention to accept tax e filing in Malaysia.
Heterogeneous Graph Convolutional Networks for Temporal Community Detection
Venue: ArXiv
Year: 2019

The Graph Convolutional Networks (GCN) has demonstrated superior performance in representing graph data, especially homogeneous graphs. However, the real world graph data is usually heterogeneous and evolves with time, e.g. Facebook and DBLP, which has seldom been studied. To cope with this issue, we propose a novel approach named temporal heterogeneous graph convolutional network (THGCN) THGCN first embeds both spatial information and node attribute information together. Then, it captures short term evolutionary patterns from the aggregations of embedded graph signals through compression network. Meanwhile, the long term evolutionary patterns of heterogeneous graph data are also modeled via a TCN temporal convolutional network. To the best of our knowledge, this is the first attempt to model temporal heterogeneous graph data with a focus on community discovery task.
Neural Zero Shot Fine Grained Entity Typing
Venue: WWW
Year: 2020

Fine grained entity typing is a task to assign types to entity mentions dependent on mentions' context. Due to the heavy work of human annotation, high quality training data is always not enough, zero shot fine grained entity typing becomes important. Previous zero shot works rely on hand crafted features and suffers from noisy distant supervision induced training data. In this paper, we propose a Neural Zero Shot Fine Grained Entity Typing (NZFET) model. NZFET is an end to end neural model free from hand crafted features. The entity type attention in NZFET makes model focus on information relevent to the entity type. In our experiments, NZFET obtains better results on popular datasets than previous works. And we show experimentally that our method is robust against noisy training data.
Review of Application and Innovation of Geotextiles in Geotechnical Engineering
Venue: Materials
Year: 2020

Most geotextiles consist of polymers of polyolefin, polyester or polyamide family, which involve environmental problems related to soil pollution. Geotextiles can be used for at least one of the following functions: Separation, reinforcement, filtration, drainage, stabilization, barrier, and erosion protection. Due to the characteristics of high strength, low cost, and easy to use, geotextiles are widely used in geotechnical engineering such as soft foundation reinforcement, slope protection, and drainage system. This paper reviews composition and function of geotextiles in geotechnical engineering. In addition, based on literatures including the most recent data, the discussion turns to recent development of geotextiles, with emphasis on green geotextiles, intelligent geotextiles, and high performance geotextiles. The present situation of these new geotextiles and their application in geotechnical engineering are reviewed.