cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
A New Ratio Image Based CNN Algorithm For SAR Despeckling
Creators: name: Vitale, Sergio
name: Ferraioli, Giampaolo
name: Pascazio, Vito
Publisher: name: arXiv
Year: 2019
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: In SAR domain many application like classification, detection and segmentation are impaired by speckle. Hence, despeckling of SAR images is the key for scene understanding. Usually despeckling filters face the trade-off of speckle suppression and information preservation. In the last years deep learning solutions for speckle reduction have been proposed. One the biggest issue for these methods is how to train a network given the lack of a reference. In this work we proposed a convolutional neural network based solution trained on simulated data. We propose the use of a cost function taking into account both spatial and statistical properties. The aim is two fold: overcome the trade-off between speckle suppression and details suppression; find a suitable cost function for despeckling in unsupervised learning. The algorithm is validated on both real and simulated data, showing interesting performances.
Scientific workflows for parameter-setting support in environmental modelling. GeoComputation 2019
Creators: name: Radosevic, Nenad
name: Duckham, Matt
name: Gang-Jun Liu
Publisher: name: The University of Auckland
Year: 2019
Subjects: subject: 90903 Geospatial Information Systems
subject: FOS: Environmental engineering

description: Parameter uncertainty, restricted information and insufficient transparency of many environmental models are often limiting factors in their use and application. The aim of this work is to demonstrate how scientific workflows can be designed and implemented to address these limitations in use and application of environmental models. Specifically, this work shows an application of scientific workflows and their potential in delivering a transparent, reproducible, integrated and automated tool for a parameter setting decision support. The results show how parameter uncertainty can be captured and managed using a freely-available and open-source scientific workflow management system (SWFMS). Specifically, scientific workflows integrate environmental modelling and a machine learning technique to discover and select appropriate parameter settings. This work shows a case study with the particular example of environmental modelling for estimating solar radiation potential of building rooftops. In general, an appropriate user support and management of parameter uncertainty help to broader usage and warrantability of environmental models and their outputs, both in research related work and in interdisciplinary analysis for decision making.
Teaching Agent-Based Modelling and Machine Learning in an integrated way. GeoComputation 2019
Creators: name: Ellen-Wien Augustijn
name: Kounadi, Ourania
name: Kuznecova, Tatjana
name: Zurita-Milla, Raul
Publisher: name: The University of Auckland
Year: 2019
Subjects: subject: 90903 Geospatial Information Systems
subject: FOS: Environmental engineering

description: The integration of Agent-Based Modelling (ABM) and Machine Learning (ML) provides many promising opportunities, yet this research field is underdeveloped. Different reasons are given for this lack of integration, including a shortage of behavioural data and technical implementation difficulties. However, we think that one crucial problem is being overlooked. In our educational system, we teach topics one by one and do not explicitly focus on the integration of various modelling paradigms. This is a missed opportunity that should be addressed, to prepare our students for a world where models are increasingly complex and where data and model integration becomes inevitable. In this paper, we share our experiences in a course in Geoinformatics, where integrated ABM and ML modelling is central. In our class, we use the Living Textbook to work on interlinked concept maps, and we have an overarching case study assignment. Preliminary outcomes show that students’ learning and project work could benefit from simplifying the case study assignment and introducing the parallel teaching of ABM and ML. In general, different teaching methods and setups still need to be explored, to ensure that our future model designers are well equipped for their task.
title: The contribution of cholinergic pathways to muscle activation
Creators: name: Dempsey, Lisa
Publisher: name: Griffith University
Year: 2024
Subjects: subject: muscarinic
subject: motor cortex
subject: plasticity
subject: fatigue

description: The corticospinal tract serves as the primary pathway for motor function in the human brain, transmitting signals from upper motoneurons to lower motoneurons to ultimately produce muscle contractions. Motoneurons generate firing patterns in response to synaptic input, with the voltage-sensitive conductance determining the cell's output based on thresholds and firing. However, neuromodulators in the central nervous system (CNS), including those in the brainstem, intricately regulate activity in corticospinal motor pathways by regulating the gain of motoneuron output. The purpose of this PhD Thesis is to examine the neuromodulatory role that muscarinic acetylcholine receptors (mAChRs) have on human corticospinal corticospinal motor pathways. To achieve this, three studies were performed using a human, double-blinded, placebo-controlled and crossover design. Each study assessed the effects of a muscarinic blockade (Phenergan 25 mg) on the motor system using TMS, peripheral nerve stimulation and somatosensory recordings. [...]
A model for the size distribution of customer groups and businesses
Creators: name: Zheng, Dafang
name: Rodgers, G. J.
name: Hui, P. M.
Publisher: name: arXiv
Year: 2001
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: FOS: Physical sciences

description: We present a generalization of the dynamical model of information transmission and herd behavior proposed by Eguiluz and Zimmermann. A characteristic size of group of agents $s_{0}$ is introduced. The fragmentation and coagulation rates of groups of agents are assumed to depend on the size of the group. We present results of numerical simulations and mean field analysis. It is found that the size distribution of groups of agents $n_{s}$ exhibits two distinct scaling behavior depending on $s \leq s_{0}$ or $s > s_{0}$. For $s \leq s_{0}$, $n_{s} \sim s^{-(5/2 + δ)}$, while for $s > s_{0}$, $n_{s} \sim s^{-(5/2 -δ)}$, where $δ$ is a model parameter representing the sensitivity of the fragmentation and coagulation rates to the size of the group. Our model thus gives a tunable exponent for the size distribution together with two scaling regimes separated by a characteristic size $s_{0}$. Suitably interpreted, our model can be used to represent the formation of groups of customers for certain products produced by manufacturers. This, in turn, leads to a distribution in the size of businesses. The characteristic size $s_{0}$, in this context, represents the size of a business for which the customer group becomes too large to be kept happy but too small for the business to become a brand name.
description: 11 pages, 1 figure, corrected typos
Structural Reforms and Agricultural Export Performance: An Empirical Analysis
Creators: name: Susanto, Dwi
name: Rosson, C. Parr
name: Costa, Rafael F.
name: Susanto, Dwi
name: Rosson, C. Parr
name: Costa, Rafael F.
Publisher: name: Unknown
Year: 2012
Subjects: subject: International Relations/Trade
subject: agricultural reform
subject: agricultural sector
subject: financial reform
subject: gravity model

description: This study empirically investigates the effects of structural reforms on bilateral trade flows of agricultural products. Specifically, the study jointly analyzes the impacts of three different reforms including financial reform, trade reform, and agricultural reform on agricultural trade. The results suggest that less restrictive credit constraints, reduced tariff rates, and less government interventions are likely to generate increase in total agricultural exports. The evidence further indicates that the impacts of the reforms vary considerably across less aggregated products as well as across reform forms. The results provide a solid policy foundation for pursuing structural reforms in order to stimulate trade and economic growth, given the fact that the index level of reforms has not reached the level of full liberalization yet
Exact Potts Model Partition Functions for Strips of the Triangular Lattice
Creators: name: Chang, Shu-Chiuan
name: Jacobsen, Jesper Lykke
name: Salas, Jesús
name: Shrock, Robert
Publisher: name: arXiv
Year: 2002
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: We present exact calculations of the Potts model partition function Z(G,q,v) for arbitrary q and temperature-like variable v on n-vertex strip graphs G of the triangular lattice for a variety of transverse widths equal to L vertices and for arbitrarily great length equal to m vertices, with free longitudinal boundary conditions and free and periodic transverse boundary conditions. These have the form Z(G,q,v)=\sum_{j=1}^{N_{Z,G,λ}} c_{Z,G,j}(λ_{Z,G,j})^{m-1}. We give general formulas for N_{Z,G,j} and its specialization to v=-1 for arbitrary L. The free energy is calculated exactly for the infinite-length limit of the graphs, and the thermodynamics is discussed. It is shown how the internal energy calculated for the case of cylindrical boundary conditions is connected with critical quantities for the Potts model on the infinite triangular lattice. Considering the full generalization to arbitrary complex q and v, we determine the singular locus {\cal B}, arising as the accumulation set of partition function zeros as m\to\infty, in the q plane for fixed v and in the v plane for fixed q.
description: 59 pages, LaTeX2e. Self-unpacking archive containing the tex file, three sty files, 51 ps files, and a gziped Mathematica file (transfer_Tutte_tri.m.gz). Version published in journal
Multicomplexes, bounded cohomology and additivity of simplicial volume
Creators: name: Kuessner, Thilo
Publisher: name: arXiv
Year: 2001
Subjects: subject: Algebraic Topology (math.AT)
subject: Geometric Topology (math.GT)
subject: FOS: Mathematics
subject: 57N65

description: We discuss some additivity properties of the simplicial volume for manifolds with boundary: we give proofs of additivity for glueing amenable boundary components and of superadditivity for glueing amenable submanifolds of the boundary, and we discuss doubling of 3-manifolds.
description: B. Korean Math. Soc. 2015, Vol. 52, No. 6, 1855-1899
Conservation of pseudo-norm in PT symmetric quantum mechanics
Creators: name: Znojil, Miloslav
Publisher: name: arXiv
Year: 2001
Subjects: subject: Mathematical Physics (math-ph)
subject: Analysis of PDEs (math.AP)
subject: FOS: Physical sciences
subject: FOS: Mathematics
subject: 35K90; 35Q40; 81S99; 81T10; 35P10; 46C20; 46N50

description: An extension of the Stone's theorem to PT symmetric, extended quantum mechanics must employ its pseudo-norm. We show that the evolution of the wave functions is then pseudo-unitary, and emphasize that their pseudo-norm remains time-independent even in the spontaneously broken symmetry regime where the energies themselves cease to be real.
description: 13 pages
Teaching Self-Care and Domestic Living Skills using Least-to-Most Prompting Procedure in a Semi-Residential Setting
Creators: name: Vascelli, Luca
name: Iacomini, Silvia
name: Artoni, Vanessa
name: Cihon, Traci Michelle
Publisher: name: Journal of Clinical & Developmental Psychology
Year: 2021

description: Background: This study evaluates the effectiveness of a Least-to-Most (LTM) prompting system, combined with total task chaining, to teach self-care and domestic living skills during two experiments. The participants were five adolescents with Intellectual Developmental Disorders (IDD). Methods: Treatment effects were evaluated in Experiment 1 with a delayed multiple baseline across behaviors and participants with two follow-ups phases and a delayed multiple baseline across behaviors design with follow-up phase for Experiment 2. Results: The analysis show that all students learned the target behaviors using LTM prompting procedure, but performance levels slightly decreased during follow-up for both experiments. Conclusions: The LTM prompting procedure proved helpful in teaching the target skills in a semi-residential context. Implications for practice are discussed.
description: Journal of Clinical & Developmental Psychology, Online First Articles
Quantum strips on surfaces
Creators: name: Krejcirik, David
Publisher: name: arXiv
Year: 2002
Subjects: subject: Mathematical Physics (math-ph)
subject: Differential Geometry (math.DG)
subject: FOS: Physical sciences
subject: FOS: Mathematics
subject: 58J50, 81Q10

description: Motivated by the theory of quantum waveguides, we investigate the spectrum of the Laplacian, subject to Dirichlet boundary conditions, in a curved strip of constant width that is defined as a tubular neighbourhood of an infinite curve in a two-dimensional Riemannian manifold. Under the assumption that the strip is asymptotically straight in a suitable sense, we localise the essential spectrum and find sufficient conditions which guarantee the existence of geometrically induced bound states. In particular, the discrete spectrum exists for non-negatively curved strips which are studied in detail. The general results are used to recover and revisit the known facts about quantum strips in the plane. As an example of non-positively curved quantum strips, we consider strips on ruled surfaces.
description: 17 pages
Dryland Wheat variety selection in the Texas High Plain
Creators: name: Park, Seong Cheol
name: Cho, Jaesung
name: Bevers, Stanley J.
name: Amosson, Stephen H.
name: Rudd, Jackie C.
name: Park, Seong Cheol
name: Cho, Jaesung
name: Bevers, Stanley J.
name: Amosson, Stephen H.
name: Rudd, Jackie C.
Publisher: name: Unknown
Year: 2012
Subjects: subject: Farm Management
subject: Dryland
subject: Portfolio
subject: risk
subject: wheat Variety

description: Selecting the best wheat varieties affects producers’ profit and financial risk. This study identifies the optimal wheat variety selection using the portfolio approach at various risk aversion levels. Results showed that the optimal wheat variety selection was significantly affected by changes in levels of risk aversion of decision makers
Spatial variations of the SrI 4607Åscattering polarization signals at subgranular scale observed with ZIMPOL at GREGOR telescope
Creators: name: Dhara, Sajal Kumar
name: Capozzi, Emilia
name: Gisler, Daniel
name: Bianda, Michele
name: Ramelli, Renzo
name: Berdyugina, Svetlana
name: Alsina, Ernest
name: Belluzzi, Luca
Publisher: name: arXiv
Year: 2019
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: Sr I 4607Åspectral line shows one of the strongest scattering polarization signals in the visible solar spectrum. The amplitudes of these signals are expected to vary at granular spatial scales. This variation can be due to changes in the magnetic field intensity and orientation (Hanle effect) as well as due to spatial and temporal variations in the plasma properties. Measuring the spatial variation of such polarization signal would allow us to study the properties of the magnetic fields at subgranular region. But, the observations are challenging since both high spatial resolution and high spectropolarimetric sensitivity are required at the same time. To the aim of measuring these spatial variations at granular scale, we carried out a spectro-polarimetric measurement with the Zurich IMaging POLarimeter (ZIMPOL), at the GREGOR solar telescope at different limb distances on solar disk. Our results show a spatial variation of scattering linear polarization signals in Sr I 4607Åline at the granular scale at every $μ$, starting from 0.2 to 0.8. The correlation between the polarization signal amplitude and the continuum intensity imply statistically that the scattering polarization is higher at the granular regions than in the intergranular lanes.
description: 4 pages, 3 figures, Proceeding of Third Meeting of the Italian Solar and Heliospheric Community, OCTOBER 28-31, 2018 - TURIN
Big Variates: Visualizing and identifying key variables in a multivariate world
Creators: name: Watts, S. J.
name: Crow, L.
Publisher: name: arXiv
Year: 2019
Subjects: subject: Applications (stat.AP)
subject: FOS: Computer and information sciences

description: Big Data involves both a large number of events but also many variables. This paper will concentrate on the challenge presented by the large number of variables in a Big Dataset. It will start with a brief review of exploratory data visualisation for large dimensional datasets and the use of parallel coordinates. This motivates the use of information theoretic ideas to understand multivariate data. Two key information-theoretic statistics (Similarity Index and Class Distance Indicator) will be described which are used to identify the key variables and then guide the user in a subsequent machine learning analysis. Key to the approach is a novel algorithm to histogram data which quantifies the information content of the data. The Class Distance Indicator also sets a limit on the classification performance of machine learning algorithms for the specific dataset.
description: 16 Pages, 7 Figures. Pre-print from talk at ULITIMA 2018, Argonne National Laboratory, 11-14 September 2018
Supplementary document for On-chip dynamic manipulation of terahertz spoof surface wavefronts with reconfigurable metasurfaces - 7355562.pdf
Creators: name: He, Xunjun
name: Chen, Guang
name: Geng, Zhaoxin
name: Zhang, Ying
name: Lu, Guangjun
Publisher: name: Optica Publishing Group
Year: 2025
Subjects: Uncategorized

description: numerical simulations,co-polarization reflections
Local Stress Relaxation and Shear-banding in a Dry Foam under Shear
Creators: name: Kabla, Alexandre
name: Debregeas, Georges
Publisher: name: arXiv
Year: 2002
Subjects: subject: Soft Condensed Matter (cond-mat.soft)
subject: FOS: Physical sciences

description: We have developed a realistic simulation of 2D dry foams under quasi-static shear. After a short transient, a shear-banding instability is observed. These results are compared with measurements obtained on real 2D (confined) foams. The numerical model allows us to exhibit the mechanical response of the material to a single plastication event. From the analysis of this elastic propagator, we propose a scenario for the onset and stability of the flow localization process in foams, which should remain valid for most athermal amorphous systems under creep flow.
description: 4 pages, 5 figures. Major changes with regards to initially submitted manuscript
The Value of Transportation for Improving the Quality of Life of the Rural Elderly
Creators: name: Israel, Alicia
name: Mjelde, James W.
name: Dudensing, Rebekka M.
name: Cherrington, Linda
name: Jin, Yanhong H.
name: Chen, Junyi
name: Israel, Alicia
name: Mjelde, James W.
name: Dudensing, Rebekka M.
name: Cherrington, Linda
name: Jin, Yanhong H.
name: Chen, Junyi
Publisher: name: Unknown
Year: 2012
Subjects: subject: Community/Rural/Urban Development
subject: Elderly Transportation
subject: Rural Transportation
subject: Rural Elderly
subject: Rural Quality of Life

description: When an elderly individual living in a rural community is no longer able to drive, issues that come with living in an isolated area (i.e. limited access to health and personal services, distance between home and town centers) are exaggerated and the individual may experience a decrease in their quality of life. Public transportation that supports elderly individuals may be an important issue for rural communities to consider in creating an aging-friendly community and maintaining quality of life for residents who are no longer able to drive. The purpose of this research is to obtain an understanding of opinions about public transportation for the elderly held by rural county residents and their WTP for transportation options through an additional vehicle registration fee. To achieve this objective, a survey with choice experiments was distributed to residents in Atascosa and Polk County, Texas in September 2011. Researchers employed a conditional logit model to analyze the choice survey data and examine county residents’ WTP for various transportation options. The results of this study provide public transportation managers insights into the attributes taxpayers expect in transportation routes and programs.
Coresets for Minimum Enclosing Balls over Sliding Windows
Creators: name: Wang, Yanhao
name: Li, Yuchen
name: Tan, Kian-Lee
Publisher: name: arXiv
Year: 2019
Subjects: subject: Data Structures and Algorithms (cs.DS)
subject: Computational Geometry (cs.CG)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: \emph{Coresets} are important tools to generate concise summaries of massive datasets for approximate analysis. A coreset is a small subset of points extracted from the original point set such that certain geometric properties are preserved with provable guarantees. This paper investigates the problem of maintaining a coreset to preserve the minimum enclosing ball (MEB) for a sliding window of points that are continuously updated in a data stream. Although the problem has been extensively studied in batch and append-only streaming settings, no efficient sliding-window solution is available yet. In this work, we first introduce an algorithm, called AOMEB, to build a coreset for MEB in an append-only stream. AOMEB improves the practical performance of the state-of-the-art algorithm while having the same approximation ratio. Furthermore, using AOMEB as a building block, we propose two novel algorithms, namely SWMEB and SWMEB+, to maintain coresets for MEB over the sliding window with constant approximation ratios. The proposed algorithms also support coresets for MEB in a reproducing kernel Hilbert space (RKHS). Finally, extensive experiments on real-world and synthetic datasets demonstrate that SWMEB and SWMEB+ achieve speedups of up to four orders of magnitude over the state-of-the-art batch algorithm while providing coresets for MEB with rather small errors compared to the optimal ones.
description: 28 pages, 10 figures, to appear in The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '19)
Pricing Fed Cattle on a Grid: An Analysis of the Incentive Mechanism over Time
Creators: name: Fausti, Scott W.
name: Wang, Gerald
name: Diersen, Matthew A.
name: Qasmi, Bashir A.
name: Fausti, Scott W.
name: Wang, Gerald
name: Diersen, Matthew A.
name: Qasmi, Bashir A.
Publisher: name: Unknown
Year: 2012
Subjects: subject: Livestock Production/Industries
subject: Marketing
subject: FOS: Economics and business
subject: Research Methods/ Statistical Methods
subject: fed cattle
subject: grid
subject: marketing
subject: market share
subject: livestock production

description: Empirical results suggest that the grid premium and discount structure is slowly adjusting carcass quality incentive/disincentive market signals to encourage marketing on a grid and discourage marketing by the pen. If this trend continues, grid market share of steer and heifer slaughter volume should increase in the future.
title: Stressors in the real world: evaluating impacts of multiple stressors in coastal wetlands
Creators: name: Ostrowski, Andria L
Publisher: name: Griffith University
Year: 2023
Subjects: subject: multiple stressors
subject: anthropogenic impact
subject: ecological realism

description: Multiple stressors are ubiquitous in the environment and the effective management of stressors is becoming increasingly important in the Anthropocene as vital habitats continue to be degraded and lost globally. Coastal wetlands are among the most threatened ecosystems facing enormous pressure from anthropogenic stressors. Stressors often co-occur in the environment, which can lead to compounding effects on ecosystem structure, function, and the provision of vital services. Additionally, co-occurring stressors may interact to result in 'ecological surprises' where the combined effects of stressors are greater (i.e., synergistic) or lesser (i.e., antagonistic) than the expected additive (i.e., sum of individual) effects. Stressor interactions, therefore, can pose challenges for accurately predicting stressor impacts within ecosystems. Much of our current understanding of multiple stressor impacts is derived from highly controlled experiments that do not account for environmental variability (e.g., tidal cycles) and ecological complexity (e.g., species interactions). Natural physicochemical environments are highly dynamic across spatiotemporal scales, which may influence ecosystem responses to multiple stressors. For example, environmental variability may alter stressor intensity, timing, and duration of presence in ecosystems, which can ultimately influence stressor interactions and impacts. Despite this, few studies investigate the effects of variations in stressor intensity (i.e., fluctuations) and synchronicity (i.e., timing of fluctuations), but rather keep stressors of interest static (i.e., constant) over time. Responses to stressors are also often measured at lower levels of biological organisation, such as molecular and whole individual levels. Extrapolating outcomes measured at these lower levels, and from experiments on static stressors in the laboratory, to predict how ecosystems will respond to stressors may lead to over or underestimation of cumulative impacts, resulting in less efficient conservation and management. [...]
Morita equivalence in the context of Hilbert modules
Creators: name: Paseka, Jan
Publisher: name: arXiv
Year: 2002
Subjects: subject: Operator Algebras (math.OA)
subject: FOS: Mathematics
subject: 46M15, 46L05, 18D20, 06F07

description: The Morita equivalence of m-regular involutive quantales in the context of the theory of Hilbert $A$-modules is presented. The corresponding fundamental representation theorems are shown. We also prove that two commutative m-regular involutive quantales are Morita equivalent if and only if they are isomorphic
description: 29 pages
Early warning in egg production curves from commercial hens: A SVM approach
Creators: name: Morales, Iván Ramírez
name: Cebrián, Daniel Rivero
name: Blanco, Enrique Fernández
name: Sierra, Alejandro Pazos
Publisher: name: arXiv
Year: 2019
Subjects: subject: Applications (stat.AP)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Artificial Intelligence allows the improvement of our daily life, for instance, speech and handwritten text recognition, real time translation and weather forecasting are common used applications. In the livestock sector, machine learning algorithms have the potential for early detection and warning of problems, which represents a significant milestone in the poultry industry. Production problems generate economic loss that could be avoided by acting in a timely manner. In the current study, training and testing of support vector machines are addressed, for an early detection of problems in the production curve of commercial eggs, using farm's egg production data of 478,919 laying hens grouped in 24 flocks. Experiments using support vector machines with a 5 k-fold cross-validation were performed at different previous time intervals, to alert with up to 5 days of forecasting interval, whether a flock will experience a problem in production curve. Performance metrics such as accuracy, specificity, sensitivity, and positive predictive value were evaluated, reaching 0-day values of 0.9874, 0.9876, 0.9783 and 0.6518 respectively on unseen data (test-set). The optimal forecasting interval was from zero to three days, performance metrics decreases as the forecasting interval is increased. It should be emphasized that this technique was able to issue an alert a day in advance, achieving an accuracy of 0.9854, a specificity of 0.9865, a sensitivity of 0.9333 and a positive predictive value of 0.6135. This novel application embedded in a computer system of poultry management is able to provide significant improvements in early detection and warning of problems related to the production curve.
Michyrus Skelley and Gasca-Alvarez 2020
Creators: name: Skelley, Paul E.
name: Gasca-Álvarez, Héctor Jaime
Publisher: name: Zenodo
Year: 2020
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Coleoptera
Erotylidae
Michyrus

description: Key to species of Michyrus
 1. Pronotal disc finely, sparsely punctate (Fig. 1, 4); elytral striae with punctures coarse and deeply impressed; procoxal lines widely separated anteriorly, connecting across middle (Fig. 2, 6); Panama.......................................  M. thomasi Skelley and Gasca-Álvarez, new species
 — Pronotal disc finely, densely punctate (Fig. 11, 14); elytral striae with punctures of moderate size and weakly impressed; procoxal lines more narrowly separated anteriorly, not connecting across middle (Fig. 12, 15); French Guiana..............  M. yvineci Skelley and Gasca-Álvarez, new species
description: Published as part of Skelley, Paul E. & Gasca-Álvarez, Héctor Jaime, 2020, Michyrus, a new genus of pleasing fungus beetles with coarsely faceted eyes (Coleoptera: Erotylidae), pp. 1-8 in Insecta Mundi 2020 (836) on page 3, DOI: 10.5281/zenodo.5353876
title: Monocyte Chemotactic Protein - 1 (MCP-1) Controls the Anabolic Action of Parathyroid Hormone (PTH)
Creators: name: Jones, Mitchel G
Publisher: name: Griffith University
Year: 2024
Subjects: subject: osteoporosis
subject: parathyroid hormone (PTH)
subject: monocyte chemoattractant protein-1 (MCP-1)
subject: osteoanabolic

description: Parathyroid hormone (PTH) is an essential hormone for calcium homeostasis in blood and bone, absorption of calcium from food by the intestines and conservation of calcium by the kidneys. Activation of bone formation and resorption is one of its pivotal roles as well as therapeutic bone formation following osteopenia. The specific mechanism by which PTH initiates bone formation using intermittent injections remains elusive and this project aims to fill a gap in the literature regarding the role of monocyte chemoattractant protein-1 (MCP-1) in PTH action. Osteoporosis, a condition in which bones become weak and brittle, is highly prevalent in the ageing population over 50, with 1 in 3 women and 1 in 5 men being affected. The ability to better understand the mechanism of action of intermittent PTH (iPTH), will lay a further foundation to understand how iPTH stimulates bone formation in osteoporotic patients. This thesis endeavoured to understand the role of MCP-1 in the context of genomic suppression and the effects that potentiate bone remodelling and formation in the anabolic actions of iPTH. [...]
Strong gravity signatures in the polarization of gravitational waves
Creators: name: Shankaranarayanan, S.
Publisher: name: arXiv
Year: 2019
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: General Relativity is a hugely successful description of gravitation. However, both theory and observations suggest that General Relativity might have significant classical and quantum corrections in the Strong Gravity regime. Testing the strong field limit of gravity is one of the main objectives of the future gravitational wave detectors. One way to detect strong gravity is through the polarization of gravitational waves. For quasi-normal modes of black-holes in General Relativity, the two polarisation states of gravitational waves have the same amplitude and frequency spectrum. Using the principle of energy conservation, we show that, the polarisations differ for modified gravity theories. We obtain a diagnostic parameter for polarization mismatch that provides a unique way to distinguish General Relativity and modified gravity theories in gravitational wave detectors.
description: Received Honourable mention in Gravity Research Foundation essay competition-2019
Exploring and designing for multisensory interactions with 3D printed food
Creators: name: Gayler, Tom
Publisher: name: Lancaster University
Year: 2021

description: Experience of food is as varied as it is widespread, part of mundane activities but also embedded in rituals and celebrations. Despite its pervasive richness it has yet to be fully exploited to support embodied and multisensory experiences within Human-Computer Interaction. This thesis addresses this shortcoming, drawing on the unique qualities of food experience in combination with novel technology to design rich, affective, and embodied interactions through food. This work approaches 3D printed food as a material to design emotion- and memory-based experiences with food, and 3D printing of food as a technology for crafting multisensory user experiences in everyday contexts. These perspectives are integrated through the design and evaluation of novel interactions with 3D printed food, following a Research through Design approach combined with material approaches. Through this enquiry, novel research tools for HCI were also created for working with food, flavour, and taste. The thesis comprises seven studies that advance knowledge, based on gaps identified, and novel theoretical framings in a systematic literature review. Through a survey of user perceptions of 3D printed food, opportunities for user experience-based applications were highlighted. An identified opportunity for affective interactions through taste was considered through lab-based studies and interviews with chefs and food designers on using 3D printed food. This was extended through a co-design study with couples in romantic relationships to create flavours of 3D printed food to support emotional expression and coregulation. The use of flavours to cue experience was then explored in relation to self-defining memories with older adults. Through both co-design studies, a multisensory probe kit was built and evaluated to support designing with the senses in HCI and to further explore ideas from the study into food and memory and an app prototype designed for creating personalised flavour-based memory cues. Collectively, these studies support applications of the 3D printing of food for emotional and memory-based applications in HCI, as well as theoretical and methodological contributions to multisensory design and design with food and the body in HCI.
Enabling spaces by GeoComputation. GeoComputation 2019
Creators: name: Bergmann, Luke
name: O'Sullivan, David
Publisher: name: The University of Auckland
Year: 2019
Subjects: subject: 90903 Geospatial Information Systems
subject: FOS: Environmental engineering

description: Space, location, coordinates, distance: these interrelated concepts and their practical realisations in data structures, analytical procedures, and visualization techniques arecentral to what computation is able to achieve in geographical research. We argue the ideals and approaches of GeoComputation have much to contribute to the realisation of a geographical computation that embraces not only the representation and analysis of phenomena in absolute, Euclidean space, but can engage relative and relational spaces as well. Such spaces emerge with process and relation, and they were viewed as central toadvancing geographical research during the quantitative revolution. We present results of initial steps taken in this geocomputational research agenda: we formalise, implement, exemplify, and analyse a generalized, empirical projection approach appropriate to translating between the (sometimes complicated and emergent) coordinate systems of relational, relative, and absolute spaces.
title: To understand how Focusing method impacts entrepreneurial intuitive decision-making in SMEs
Creators: name: Yeung, An N
Publisher: name: Griffith University
Year: 2024
Subjects: subject: entrepreneurial decision-making
subject: intuition development
subject: focusing

description: Despite entrepreneurs comprising the majority of the global economy and being heralded as its driving force, they exhibit an alarmingly high failure rate. In comparison to large organisations, small and medium enterprises (SMEs) entrepreneurs operate in a hostile environment characterised by scarce information and resources. These constraints significantly diminish their ability to discover, evaluate and exploit decisions. Hence, the adoption of effective entrepreneurial decision-making strategies is crucial for enhancing the long-term survival rates of enterprises. Research has consistently demonstrated that entrepreneurs frequently rely on intuition, a practice that facilitates superior decision-making, particularly in the areas of opportunity recognition and innovation. Whilst management literature recognises the advantages of intuitive decision-making for entrepreneurs, there has been a lack of advancement in integrating intuition training into entrepreneurship. Furthermore, the few existing entrepreneurial training programs predominantly emphasise cognition, neglecting the affective and sensory pathways crucial for intuition development. To address this gap, this research investigates the development of a specific body-based training utilising Focusing techniques tailored specifically for the needs of SME entrepreneurs. Focusing is a psychotherapeutic method that systematically engages bodily awareness by tuning into affective and sensory responses within a given situation. This approach enables the integration of tacit information, facilitates the formation of a holistic perspective specific to a situation and generates new meanings. Although anecdotal evidence suggests that Focusing techniques can stimulate innovative thinking and advance decision-making effectiveness, there has been no dedicated academic endeavour to explore the relationship between Focusing application and entrepreneurial intuitive decision-making. This research aims to investigate the feasibility and impact of a Focusing intervention to enhance entrepreneurial intuitive decision-making in SMEs. It involves the design and implementation of a bespoke Focusing intervention for SME entrepreneurs aimed to deepen their affective and sensory awareness. Guided by an action research approach, the study consisted of three intervention cycles over a two-year period, with each cycle lasting four weeks. The qualitative data collected from pre- and post-intervention interviews and observations were interpreted and triangulated using the Constant Comparison Method (CCM). [...]
Scientific workflows for parameter-setting support in environmental modelling
Creators: name: Radosevic, Nenad
name: Duckham, Matt
name: Gang-Jun Liu
Publisher: name: The University of Auckland
Year: 2019
Subjects: subject: 90903 Geospatial Information Systems
subject: FOS: Environmental engineering

description: Parameter uncertainty, restricted information and insufficient transparency of many environmental models are often limiting factors in their use and application. The aim of this work is to demonstrate how scientific workflows can be designed and implemented to address these limitations in use and application of environmental models. Specifically, this work shows an application of scientific workflows and their potential in delivering a transparent, reproducible, integrated and automated tool for a parameter setting decision support. The results show how parameter uncertainty can be captured and managed using a freely-available and open-source scientific workflow management system (SWFMS). Specifically, scientific workflows integrate environmental modelling and a machine learning technique to discover and select appropriate parameter settings. This work shows a case study with the particular example of environmental modelling for estimating solar radiation potential of building rooftops. In general, an appropriate user support and management of parameter uncertainty help to broader usage and warrantability of environmental models and their outputs, both in research related work and in interdisciplinary analysis for decision making.
Classical simulation of noninteracting-fermion quantum circuits
Creators: name: Terhal, Barbara M.
name: DiVincenzo, David P.
Publisher: name: arXiv
Year: 2001
Subjects: subject: Quantum Physics (quant-ph)
subject: Condensed Matter (cond-mat)
subject: Computational Complexity (cs.CC)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: We show that a class of quantum computations that was recently shown to be efficiently simulatable on a classical computer by Valiant corresponds to a physical model of noninteracting fermions in one dimension. We give an alternative proof of his result using the language of fermions and extend the result to noninteracting fermions with arbitrary pairwise interactions, where gates can be conditioned on outcomes of complete von Neumann measurements in the computational basis on other fermionic modes in the circuit. This last result is in remarkable contrast with the case of noninteracting bosons where universal quantum computation can be achieved by allowing gates to be conditioned on classical bits (quant-ph/0006088).
description: 26 pages, 1 figure, uses wick.sty; references added to recent results by E. Knill
title: Together But Alone
title: Belongingness and Troublesome Socio-Academic Identities of Distance Doctoral Students
titleType: Subtitle
Creators: name: Ukpabio, Anietie Godswill
Publisher: name: Lancaster University
Year: 2021

description: Doctoral studies can be daunting and arguably even more daunting when studied from a distance away from the university. In this context, the relevancy of questions surrounding how a sense of belonging is built via interacting from a distance becomes more salient as well as how the student is viewed by members of the doctoral community (peers and staff members). This study aims at exploring how distance doctoral students interact towards building their belongingness and identity within their doctoral community. Through the lenses of Hodgins’s (2018) Psychological Construct of Belonging, the study explored the data collected from semi-structured interviews using a narrative inquiry approach. The interviews involved 25 distance doctoral students across six higher education institutions in the United Kingdom (UK). The students were studying in various doctoral programmes and at various stages of their programmes. The results contribute significantly to the existing body of knowledge, but also highlight some relevant issues that can enable or constrain the development of a sense of belonging and identity from a distance. Key recommendations are offered that oscillate between those that are within the control of the institutions and those that are not.
Solitons on H-bonds in proteins
Creators: name: d'Ovidio, Francesco
name: Bohr, Henrik
name: Lindgaard, Per-Anker
Publisher: name: arXiv
Year: 2002
Subjects: subject: Condensed Matter (cond-mat)
subject: Biomolecules (q-bio.BM)
subject: FOS: Physical sciences
subject: FOS: Biological sciences

description: A model for soliton dynamics on a hydrogen-bond network in helical proteins is proposed. It employs in three dimensions the formalism of fully integrable Toda lattices which admits phonons as well as solitons along the hydrogen-bonds of the helices. A simulation of the three dimensional Toda lattice system shows that the solitons are spontaneously created and are stable and moving along the helix axis. A perturbation on one of the three H-bond lines forms solitons on the other H-bonds as well. The robust solitary wave may explain very long-lived modes in the frequency range of 100 cm$^{-1}$ which are found in recent X-ray laser experiments. The dynamics parameters of the Toda lattice are in accordance with the usual Lennard-Jones parameters used for realistic H-bond potentials in proteins.
description: 6 pages, 7 figures
Reducing Automobile Dependency on Campus: Evaluating the Impact TDM Using Stated Preferences
Creators: name: Barla, Philippe
name: Lapierre, Nathanael
name: Alvarez Daziano, Ricardo
name: Herrmann, Markus
name: Barla, Philippe
name: Lapierre, Nathanael
name: Alvarez Daziano, Ricardo
name: Herrmann, Markus
Publisher: name: Unknown
Year: 2012
Subjects: subject: Community/Rural/Urban Development
subject: Resource /Energy Economics and Policy
subject: Mode choice
subject: stated preferences
subject: travel demand management

description: In this paper, we evaluate the potential impacts of travel demand management strategies to reduce the commuting mode share of automobiles using stated preference data. The analysis is carried out on members of Université Laval in Quebec City (Canada). We measure the impact of travel time and cost as well as attitudes toward automobile, public transit and the environment. We find elasticities with respect to time and cost parameters that are low implying that large changes are required to have a noticeable impact. We find however that combining several policy interventions is more effective. Policies aiming at reducing automobile dependency by changing attitudes do not appear to be particularly effective.
Quantization of kinematics on configuration manifolds
Creators: name: Doebner, H. -D.
name: Stovicek, P.
name: Tolar, J.
Publisher: name: arXiv
Year: 2001
Subjects: subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: The review is devoted to topological global aspects of quantal description. The treatment concentrates on quantizations of kinematical observables --- generalized positions and momenta. A broad class of quantum kinematics is rigorously constructed for systems, the configuration space of which is either a homogeneous space of a Lie group or a connected smooth finite-dimensional manifold without boundary. The class also includes systems in an external gauge field for an Abelian or a compact gauge group. Conditions for equivalence and irreducibility of generalized quantum kinematics are investigated with the aim of classification of possible quantizations. Complete classification theorems are given in two special cases. It is attempted to motivate the global approach based on a generalization of imprimitivity systems called {\em quantum Borel kinematics}. These are classified by means of global invariants --- quantum numbers of topological origin. Selected examples are presented which demonstrate the richness of applications of Borel quantization. The review aims to provide an introductory survey of the subject and to be sufficiently selfcontained as well, so that it can serve as a standard reference concerning Borel quantization for systems admitting localization on differentiable manifolds.
description: 43 pages
Regional Impact of Change in Dairy Trade Policies on the Northeast U.S. and Central Canada Dairy Sectors
Creators: name: Doyon, Maurice
name: Pratt, James E.
name: Novakovic, Andrew M.
name: Doyon, Maurice
name: Pratt, James E.
name: Novakovic, Andrew M.
Publisher: name: Unknown
Year: 1995
Subjects: Livestock Production/Industries

description: Quebec, Ontario and the Northeast U.S. are expected to be important players in Canada-U.S. dairy trade. This study explores two dairy trade scenarios between Quebec, Ontario and the Northeast U.S. In simulation I, the U.S. is allowed to unilaterally export yogurt and frozen desserts to Canada, and simulation II reflects a total free trade environment. In both trade simulations, the Canadian farm milk value decreases significantly.
Supplementary document for A highly deformable and high-performance optical paper-based perovskite terahertz modulator - 7325172.pdf
Creators: name: Fan, Xiaochen
name: Xiao, Lu
name: Zhou, Weiyi
name: Cheng, Hengzhen
name: Li, Wen
name: Feng, Caiyu
name: Cai, He
name: Zhang, Bo
Publisher: name: Optica Publishing Group
Year: 2025
Subjects: Uncategorized

description: Supporting Information