A New Approach to the Generation of Retractable Plate Structures Based on One-Uniform Tessellations

2017 ◽  
Vol 9 (4) ◽  
Author(s):  
Aylin Gazi Gezgin ◽  
Koray Korkmaz
Keyword(s):  
Empirical Analysis ◽  
Regular Polygons ◽  
Systematic Method ◽  
Plate Structures ◽  
Single Degree Of Freedom ◽  
New Approach ◽  
Revolute Joints ◽  
Novel Approach ◽  
Wide Range ◽  
The One

Retractable plate structure (RPS) is a family of structures that is a set of cover plates connected by revolute joints. There exists wide range of possibilities related with these structures in architecture. Configuring the suitable shape of rigid plates that are able to be enclosed without any gaps or overlaps in both closed and open configurations and eliminating the possibility of contact between the plates during the deployment have been the most important issues in RPS design process. Many researchers have tried to find the most suitable shape by using kinematical or empirical analysis so far. This study presents a novel approach to find the suitable shape of the plates and their assembly order without any kinematical or empirical analysis. This approach is benefited from the one-uniform mathematical tessellation technique that gives the possibilities of tiling a plate using regular polygons without any gaps or overlaps. In the light of this technique, the shape of the plates is determined as regular polygons and two conditions are introduced to form RPS in which regular polygonal plates are connected by only revolute joints. It should be noted that these plates are not allowed to become overlapped during deployment and form gaps in closed configuration. Additionally, this study aims to reach a single degree-of-freedom (DoF) RPS. It presents a systematic method to convert multi-DoF RPS into single DoF RPS by using the similarity between graph theory and the duality of tessellation.

Flexible approach to apprenticeship education

2019 ◽  
Vol 10 (1) ◽  
pp. 16-31
Author(s):  
Tharindu R. Liyanagunawardena ◽  
Nicholas Moore
Keyword(s):  
Lessons Learned ◽  
Senior Leadership ◽  
New Approach ◽  
Content Type ◽  
Novel Approach ◽  
Wide Range ◽  
Compliance Requirements ◽  
Level 3 ◽  
Apprenticeship Education ◽  
Delivery Approach

Purpose Apprenticeship education in England has undergone dramatic change following the “Richard Review” (Richard, 2012), trailblazer apprenticeship standards development and the introduction of the apprenticeship levy. University College of Estate Management’s (UCEM) new Level 3 Surveying Technician Apprenticeship programme was developed using a novel approach of flipped-blended learning, with assessment by e-portfolio and computer-marked assessments. The purpose of this paper is to investigate the challenges faced by UCEM as it moved into Level 3 provision with a new delivery approach and explains the lessons learned. Design/methodology/approach A wide range of programme stakeholders – including UCEM’s senior leadership team, apprentice-management team, academic delivery team, surveying apprenticeship trailblazer group and learning designers – were interviewed to gather data for the study. Findings A considerable volume of work was needed to implement the envisioned flipped-blended approach in the first phase of delivery. This was due to time constraints, unforeseen challenges of the new approach and compliance requirements. In addition, difficulties around communicating learning expectations with the apprentices regarding the flipped-blended model added an extra level of pressure in the delivery phase. Originality/value UCEM has undergone several internal reorganisations to adapt to the uncertain political and educational landscape surrounding apprenticeship education. UCEM was the first provider of the new standard-based surveying apprenticeship and has the largest number of apprenticeship students on its programmes. The journey UCEM has taken and the problems it has overcome will be valuable to individuals and institutions looking to enter this market segment.

scholarly journals The build-up of pseudo-bulges in a hierarchical universe

2019 ◽  
Vol 488 (1) ◽  
pp. 609-632 ◽  
Author(s):  
David Izquierdo-Villalba ◽  
Silvia Bonoli ◽  
Daniele Spinoso ◽  
Yetli Rosas-Guevara ◽  
Bruno M B Henriques ◽  
...  
Keyword(s):  
Galaxy Formation ◽  
Stellar Population ◽  
Main Sequence ◽  
Host Galaxies ◽  
New Approach ◽  
Formation History ◽  
Wide Range ◽  
The One ◽  
Stellar Masses ◽  
Good Agreement

ABSTRACT We study the cosmological build-up of pseudo-bulges using the L-Galaxies semi-analytical model for galaxy formation with a new approach for following separately the assembly of classical bulges and pseudo-bulges. Classical bulges are assumed to be the result of violent processes (i.e. mergers and starbursts), while the formation of pseudo-bulges is connected to the secular growth of discs. We apply the model to both the Millennium and the Millennium II simulations, in order to study our results across a wide range of stellar masses ($\rm 10^{7}\!-\!10^{11.5}\, {\rm M}_{\odot }$). We find that z = 0 pseudo-bulges mainly reside in galaxies of $\mathit{ M}_{\rm stellar} \, {\sim }\, 10^{10}\!-\!10^{10.5}\, {\rm M}_{\odot }$ ($\mathit{ M}_{\rm halo} \, {\sim }\, 10^{11.5}\!-\!10^{12}\, {\rm M}_{\odot }$) and we recover structural properties of these objects (e.g. sizes and bulge-to-total ratios) that are in good agreement with observational results. Tracing their formation history, we find that pseudo-bulges assembled in galaxies with a very quiet merger history, as opposed to the host galaxies of classical bulges. Regarding the bulge structure, we find that $\, {\sim }\, 30{{\ \rm per\ cent}}$ of the galaxies with a predominant pseudo-bulge feature a composite structure, hosting both a pseudo- and a classical bulge component. The classical component typically constitutes ${\sim }\, 10{{\ \rm per\ cent}}$ of the total bulge galaxy mass. When looking at the properties of the host galaxies, we find that z = 0 pseudo-bulges are hosted by main-sequence galaxies, characterized by a stellar population which is generally younger compared to the one of the hosts of classical bulges.

The public's right to know in liberal-democratic thought vs. The people's obligation to know in Hebrew law

2009 ◽  
Vol 1 (1) ◽  
pp. 91-105 ◽  
Author(s):  
Tsuriel Rashi
Keyword(s):  
Jewish Community ◽  
The Other ◽  
Community Life ◽  
Right To Know ◽  
Media Ethics ◽  
New Approach ◽  
Liberal Democratic ◽  
Novel Approach ◽  
The World ◽  
The One

This study compares the codes of media ethics adopted by the PCCPress Complaints Commission, the IFJInternational Federation of Journalists and the SPJSociety of Professional Journalists based on the claim that it is the public's right to know, and examines the origins of this concept. A new approach is presented here which falls between the liberal-democratic approach on the one hand and on the other, the extreme ultra-Orthodox approach that claims that it is the public's duty not to know. This new approach which indicates that it is the public's duty to know has evolved from the analysis of Jewish texts from Biblical times and from the study of events in Jewish community life throughout the world. This novel approach is likely to effect a change in the contents of broadcasts and in the boundaries of media ethics.

scholarly journals Exploring the Chemical Space of Antiparasitic Peptides and Discovery of New Promising Leads through a Novel Approach based on Network Science and Similarity Searching

2021 ◽  
Author(s):  
Sebastián Ayala-Ruano ◽  
Yovani Marrero-Ponce ◽  
Longendri Aguilera‑Mendoza ◽  
Noel Pérez ◽  
Guillermin Agüero-Chapin ◽  
...  
Keyword(s):  
Network Science ◽  
Performance Metrics ◽  
Chemical Space ◽  
Centrality Measures ◽  
Similarity Searching ◽  
Data Sets ◽  
Learning Approaches ◽  
New Approach ◽  
Novel Approach ◽  
Wide Range

Antimicrobial peptides (AMPs) are small bioactive chemicals that have appeared as promising compounds to treat a wide range of diseases. The effectiveness of AMPs resides in the wide range of mechanisms they can use for both killing microbes and modulating immune responses. However, the AMPs’ chemical space (AMPCS) is huge, it is estimated that there exist more than 1065 unique sequences of peptides with 50 residues or fewer, which represent a big challenge for the discovery of new promising sequences and the identification of common features, motifs, or relevant biological functions shared by these peptides. Therefore, we present a new approach based on network science and similarity searching to discover new potential AMPs, specifically antiparasitic peptides (APPs). We have taken advantage of network-based representation of APPs’ chemical space (APPCS) to retrieve valuable information, using three types of networks: chemical space (CSN), half-space proximal (HSPN), and metadata (METN). Some centrality measures were applied to identify the most important and non-redundant nodes, and these peptides were taken as queries (Qs) against the graph database starPepDB to discover new potential APPs with similarity searching by group fusion (MAX-SIM rule) models. We evaluated the multi-query similarity searching models (mQSSMs) performance with five benchmarking data sets of APP/non-APPs. It can be stated that the predictions performed by the best mQSSMs present a strong-to-very strong predictive agreement since their external Matthews correlation coefficient (MCC) values ranged from 0.834 to 0.965. Outstanding outcomes were attained by the mQSSM with 219 Qs from both networks CSN and HSPN (219Q_0.5_HB-HC-Singletons_CSN-HSPN) and by using 0.5 as similarity threshold, with MCC values greater than 0.85 in external datasets. Then, we compared the performance metrics of our mQSSMs with APPs prediction servers AMPDiscover and AMPFun. The model proposed in this report outperformed the machine learning approaches with statistically significant differences, showing the enormous potential of this method. After applying our method and additional filters, we proposed 95 repurposed leads as potential APPs, which have not been associated with this activity until now. In addition, we explored sequence similarities and motifs shared by these peptides, which can serve as templates for searching and designing new promising APPs. The analyses show that the similarity models proposed in this study could contribute to identifying APPs with high effectivity and reliability. Our models and pipeline are freely available through the starPep toolbox software at http://mobiosd-hub.com/starpep.

scholarly journals Measuring precise radial velocities on individual spectral lines

2018 ◽  
Vol 620 ◽  
pp. A47 ◽  
Author(s):  
X. Dumusque
Keyword(s):  
Standard Deviation ◽  
Spectral Line ◽  
Spectral Lines ◽  
New Method ◽  
Statistical Techniques ◽  
Stellar Activity ◽  
New Approach ◽  
Novel Approach ◽  
The One ◽  
Individual Line

Context. Stellar activity is the main limitation to the detection of an Earth-twin using the radial-velocity (RV) technique. Despite many efforts in trying to mitigate the effect of stellar activity using empirical and statistical techniques, it seems that we are facing an obstacle that will be extremely difficult to overcome using current techniques. Aims. In this paper, we investigate a novel approach to derive precise RVs considering the wealth of information present in high-resolution spectra. Methods. This new method consists of building a master spectrum from all available observations and measure the RVs of each individual spectral line in a spectrum relative to this master. When analysing several spectra, the final product of this approach is the RVs of each individual line as a function of time. Results. We demonstrate on three stars intensively observed with HARPS that our new method gives RVs that are extremely similar to the one derived from the HARPS data reduction software. Our new approach to derive RVs demonstrates that the non-stability of daily HARPS wavelength solution induces night-to-night RV offsets with an standard deviation of 0.4 m s−1, and we propose a solution to correct for this systematic. Finally, and this is probably the most astrophysically relevant result of this paper, we demonstrate that some spectral lines are strongly affected by stellar activity while others are not. By measuring the RVs on two carefully selected subsample of spectral lines, we demonstrate that we can boost by a factor of two or mitigate by a factor of 1.6 the red noise induced by stellar activity in the 2010 RV measurements of α Cen B. Conclusions. By measuring the RVs of each spectral line, we are able to reach the same RV precision as other approved techniques. In addition, this new approach allows us to demonstrate that each spectral line is differently affected by stellar activity. Preliminary results show that studying in details the behaviour of each spectral line is probably the key to overcome the obstacle of stellar activity.

Primary Emotions and Recognition of Their Intensities

2020 ◽  
Author(s):  
Rim Afdhal ◽  
Ridha Ejbali ◽  
Mourad Zaied
Keyword(s):  
Feature Extraction ◽  
Emotion Recognition ◽  
Recognition System ◽  
The Other ◽  
New Approach ◽  
Novel Approach ◽  
Three Stages ◽  
The Difference ◽  
Pre Treatment ◽  
The One

Abstract The emotion recognition field has two major issues. On the one hand, it is difficult to find the same emotion state in different persons since they may express the same emotion state in various ways. On the other hand, it is also hard to seek the difference between expressions of the same person because some emotion states are too subtle to discriminate. The focus of this work is to solve these two problems by proposing a new approach of emotion recognition. This novel approach allows our emotion recognition system to classify 18 emotions (primary emotions and their intensities). First, we proposed textual definitions of the intensity emotions. Then, we created our emotion recognition system, which is composed of three stages: pre-treatment, feature extraction and classification. We used the deep learning for the feature extraction and the fuzzy logic for the classification. The experimental test demonstrates the efficiency of our system for primary emotions and their intensities’ classification compared to other methods.

scholarly journals Novel Approach to Modeling the Seismic Waves in the Areas with Complex Fractured Geological Structures

Minerals ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. 122 ◽  
Author(s):  
Nikolay Khokhlov ◽  
Polina Stognii
Keyword(s):  
Seismic Waves ◽  
Unstructured Grids ◽  
Computational Grid ◽  
Characteristic Method ◽  
Practical Application ◽  
Geological Structures ◽  
New Approach ◽  
Novel Approach ◽  
The One ◽  
Seismic Models

This paper presents a novel approach to modeling the propagation of seismic waves in a medium containing subvertical fractured inhomogeneities, typical for mineralization zones. The developed method allows us to perform calculations on a structural computational grid, which avoids the construction of unstructured grids. For the calculations, the grid-characteristic method is used. We also present a comparison of the proposed method with the one described at earlier works and discuss the areas of its practical application. As an example, the numerical results for a cluster of subvertical fractures are given. A new approach for modeling fractures makes it quite easy to incorporate fractured objects into the seismic models and perform calculations without using algorithms on unstructured and curved grids.

scholarly journals Incorporating a New Summary Statistic into the Min–Max Approach: A Min–Max–Median, Min–Max–IQR Combination of Biomarkers for Maximising the Youden Index

Mathematics ◽  
2021 ◽  
Vol 9 (19) ◽  
pp. 2497
Author(s):  
Rocío Aznar-Gimeno ◽  
Luis M. Esteban ◽  
Gerardo Sanz ◽  
Rafael del-Hoyo-Alonso ◽  
Ricardo Savirón-Cornudella
Keyword(s):  
Simulated Data ◽  
Optimal Combination ◽  
Youden Index ◽  
Summary Statistic ◽  
New Approach ◽  
Wide Range ◽  
Multiple Biomarkers ◽  
Distribution Free Approach ◽  
Computationally Intensive ◽  
The One

Linearly combining multiple biomarkers is a common practice that can provide a better diagnostic performance. When the number of biomarkers is sufficiently high, a computational burden problem arises. Liu et al. proposed a distribution-free approach (min–max approach) that linearly combines the minimum and maximum values of the biomarkers, involving only a single coefficient search. However, the combination of minimum and maximum biomarkers alone may not be sufficient in terms of discrimination. In this paper, we propose a new approach that extends that of Liu et al. by incorporating a new summary statistic, specifically, the median or interquartile range (min–max–median and min–max–IQR approaches) in order to find the optimal combination that maximises the Youden index. Although this approach is more computationally intensive than the one proposed by Liu et al, it includes more information and the number of parameters to be estimated remains reasonable. We compare the performance of the proposed approaches (min–max–median and min–max–IQR) with the min–max approach and logistic regression. For this purpose, a wide range of different simulated data scenarios were explored. We also apply the approaches to two real datasets (Duchenne Muscular Dystrophy and Small for Gestational Age).

Collecting Words: A Clinical Example of a Morphology-Focused Orthographic Intervention

2020 ◽  
Vol 51 (3) ◽  
pp. 544-560 ◽  
Author(s):  
Kimberly A. Murphy ◽  
Emily A. Diehm
Keyword(s):  
Written Language ◽  
Morphological Knowledge ◽  
English Orthography ◽  
Word Level ◽  
Novel Approach ◽  
Language Pathology ◽  
The One ◽  
Critical Intervention ◽  
Reading And Spelling ◽  
Reading And Spelling Difficulties

Purpose Morphological interventions promote gains in morphological knowledge and in other oral and written language skills (e.g., phonological awareness, vocabulary, reading, and spelling), yet we have a limited understanding of critical intervention features. In this clinical focus article, we describe a relatively novel approach to teaching morphology that considers its role as the key organizing principle of English orthography. We also present a clinical example of such an intervention delivered during a summer camp at a university speech and hearing clinic. Method Graduate speech-language pathology students provided a 6-week morphology-focused orthographic intervention to children in first through fourth grade ( n = 10) who demonstrated word-level reading and spelling difficulties. The intervention focused children's attention on morphological families, teaching how morphology is interrelated with phonology and etymology in English orthography. Results Comparing pre- and posttest scores, children demonstrated improvement in reading and/or spelling abilities, with the largest gains observed in spelling affixes within polymorphemic words. Children and their caregivers reacted positively to the intervention. Therefore, data from the camp offer preliminary support for teaching morphology within the context of written words, and the intervention appears to be a feasible approach for simultaneously increasing morphological knowledge, reading, and spelling. Conclusion Children with word-level reading and spelling difficulties may benefit from a morphology-focused orthographic intervention, such as the one described here. Research on the approach is warranted, and clinicians are encouraged to explore its possible effectiveness in their practice. Supplemental Material https://doi.org/10.23641/asha.12290687

Factors Affecting Molecular Self-Assembly and Its Mechanism

2012 ◽  
Vol 9 (1) ◽  
pp. 43 ◽  
Author(s):  
Hueyling Tan
Keyword(s):  
Self Assembly ◽  
Building Blocks ◽  
Molecular Engineering ◽  
Molecular Structures ◽  
Polymer Science ◽  
New Approach ◽  
Factors Affecting ◽  
Dna Structures ◽  
Self Assembling ◽  
Wide Range

Molecular self-assembly is ubiquitous in nature and has emerged as a new approach to produce new materials in chemistry, engineering, nanotechnology, polymer science and materials. Molecular self-assembly has been attracting increasing interest from the scientific community in recent years due to its importance in understanding biology and a variety of diseases at the molecular level. In the last few years, considerable advances have been made in the use ofpeptides as building blocks to produce biological materials for wide range of applications, including fabricating novel supra-molecular structures and scaffolding for tissue repair. The study ofbiological self-assembly systems represents a significant advancement in molecular engineering and is a rapidly growing scientific and engineering field that crosses the boundaries ofexisting disciplines. Many self-assembling systems are rangefrom bi- andtri-block copolymers to DNA structures as well as simple and complex proteins andpeptides. The ultimate goal is to harness molecular self-assembly such that design andcontrol ofbottom-up processes is achieved thereby enabling exploitation of structures developed at the meso- and macro-scopic scale for the purposes oflife and non-life science applications. Such aspirations can be achievedthrough understanding thefundamental principles behind the selforganisation and self-synthesis processes exhibited by biological systems.

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