cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Inverse-free inference and reliable uncertainty quantification with gaussian processes
Creators: name: Popescu, Sebastian Gabriel
Publisher: name: Imperial College London
Year: 2023

description: Standard machine learning research involves running experiments on training and testing data stemming from the same distribution, which is usually a data generating pipeline that involves clean data occurring in a clearly defined environment. However, in real-life scenarios models face unexpected distributions shifts, with the imperative need to discern unknown ``unknowns'', more specifically to detect outliers. Deep Neural Networks have proven their prowess in correctly classifying objects, albeit the lack of uncertainty, of a framework to incorporate prior knowledge and the reliance on large datasets. Bayesian methods are considered to fix said issues, with Gaussian Processes being an example of models that place function-space priors, finding usage due to their uncertainty quantification properties. Associated drawbacks to Gaussian Processes range from designing data-specific kernels to distributional mismatch between Gaussian predictive distribution and the real data generation distribution. This thesis posits that deep Gaussian Processes represent the optimal choice towards adequate out-of-distribution detection, as they circumvent aforementioned issues due to hierarchical nature. Firstly, we investigate deep Gaussian Processes' capabilities to properly detect outliers and propose changes to enhance out-of-distribution detection. Subsequently, we introduce a probabilistic layer that acts as a drop-in replacement for layers in convolutional architectures, with the property of reliably propagating uncertainty forward. We re-frame medical imaging prediction tasks as outlier detection, showing that our probabilistic module is more capable of detecting pathologies in MR scans as outliers given healthy samples in the training set. To ensure the competitiveness of our models we need to address the computational drawbacks associated to training Gaussian Processes. We propose an inverse-free variational lower bound to sparse Student-t Processes, showing through various experiments similar behaviour to matrix-inversion dependent models. Lastly, we dwell on future research pathways and applications, concluding that safe machine learning deployment is conditioned on probabilistic models with strong uncertainty guarantees.
Manuel de photogrammétrie forensique
Creators: name: Milliet Quentin
name: Sapin Éric Germain
Publisher: name: Zenodo
Year: 2019
Subjects: Image témoin
Photogrammétrie
Reconstruction 3D
Photographie forensique

description: Le fichier doit être téléchargé et visionné à l'aide d'un lecteur de fichier PDF pour que le contenu et les liens fonctionnent. Le présent manuel est destiné aux autorités de poursuites judiciaires et aux praticiens des services d'identité judiciaire. Il formalise les conditions d'intervention des collaborateurs de l'École des Sciences Criminelles mandatés pour exploiter les données récoltées sur une scène de crime ou des images témoins afin de réaliser des mesures, des plans en 2D ou des modèles 3D des lieux.
 Les personnes habilitées à intervenir sur les scènes de crime réalisent, à l'aide de la procédure d'acquisition proposée, un relevé photogrammétrique des lieux. Des images témoins peuvent être exploitées, en suivant la procédure de transmission décrite dans le manuel. L'utilisation de la photogrammétrie implique de suivre certaines règles pour que les images soient exploitables. Ce manuel décrit l'équipement nécessaire et propose une procédure d'acquisition et d'exploitation pour mettre en oeuvre la photogrammétrie lors de l'état des lieux. La procédure d'acquisition permet d'obtenir un relevé photographique approprié. L'exploitation de ce relevé est réalisée pour obtenir une restitution photogrammétrique, qui sert de base à la création d'un plan ou d'un modèle 3D des lieux.
Fast machine learning in the CMS level-1 trigger for the high-luminosity LHC
Creators: name: Brown, Christopher
Publisher: name: Imperial College London
Year: 2023

description: The Large Hadron Collider at CERN will undergo an upgrade in 2027 to increase the integrated luminosity delivered to its associated experiments by a factor of 10 over its lifetime. The higher luminosity will allow CMS to broaden its physics programme with the Higgs boson self coupling being a key measurement that will be accessible with this upgrade. The upgrade will also increase the number of simultaneous proton-proton interactions (pileup) to between 140 and 200. To maintain physics selectivity in this high pileup the CMS Level-1 trigger will be upgraded to use charged particle tracks from the silicon tracker for the first time and more sophisticated algorithms, including those based on machine learning, will be implemented on an all-FPGA architecture. Level-1 track reconstruction is an essential part of the Level-1 trigger upgrade; without it the trigger would be unable to cope with the increased pileup and will lose sensitivity. Work on the final module of the reconstruction algorithm is presented. A track quality boosted decision tree was designed, implemented and also shown to outperform basic cuts on track fitting parameters and has been run in hardware tests. Demonstrations of reduced versions of the track reconstruction algorithm were performed along with integration tests with the wider trigger system. The global track trigger uses the reconstructed tracks to perform primary vertex finding. The location of the hard scatter in an event is essential for reducing background pileup contributions to energy sums and reduces the number of candidates being used in downstream algorithms. An end-to-end neural network-based approach to primary vertex finding and track-to-vertex association was developed and shown to outperform the baseline approach. This model was successfully implemented in firmware, running within the required latency and resource usage, and initial hardware testing results are shown. The use of machine learning models in a changing environment such as the Level-1 trigger is an open topic in trigger development. Different strategies such as robust learning, uncertainty quantification, and continual learning are proposed and their suitability for the different time scales of the changing environment in CMS is explored. A study into the use of continual learning in the trigger demonstrates that machine learning models are at risk of performance degradation in a changing environment, but a continual learning approach can prevent this from happening and produces more robust models; an essential feature for algorithms which decide whether data is kept.
Perception of and Compliance with the Alcoholic Beverage Control Act B.E. 2551 by Alcohol Sellers
Creators: name: Det Pueon
Publisher: name: Faculty of Pharmaceutical Sciences KKU MSU UBU
Year: 2012
Subjects: Perception, Alcoholic Beverage Control Act, Alcoholic beverage, Alcohol sellers

description: Isan Journal ofPharmaceutical Sciences, 8, 3, 24-34
Triarylsilanols as catalysts for direct amidation of carboxylic acids
Creators: name: Qamar, Rabia
Publisher: name: Imperial College London
Year: 2023

description: Triarylsilanols have been employed as the first silicon-based molecular catalysts for direct amidation of carboxylic acids. Tris(p-bromophenyl)silanol exhibited superior catalytic activity amongst tris(p-haloaryl)silanols selected for this study. Kinetic experiments revealed that Lewis acidic arylsilanol catalysts are sensitive to product inhibition, thus explaining the observed diminished catalytic efficiency in direct amidation reactions investigated. Tertiary amides proved to be more detrimental to the catalytic activity than secondary amides in the event of product inhibition. Accelerated catalyst deactivation in the presence of more basic secondary amines was evidenced by ex situ HPLC catalyst quantification. Computational studies uncovered the likelihood of a pentacoordinate silyl ester-amide complex as the possible mode of catalyst inhibition.
Three-algebras, triple systems and 3-graded Lie superalgebras
Creators: name: Palmkvist, Jakob
Publisher: name: arXiv
Year: 2009
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: The three-algebras used by Bagger and Lambert in N=6 theories of ABJM type are in one-to-one correspondence with a certain type of Lie superalgebras. We show that the description of three-algebras as generalized Jordan triple systems naturally leads to this correspondence. Furthermore, we show that simple three-algebras correspond to simple Lie superalgebras, and vice versa. This gives a classification of simple three-algebras from the well known classification of simple Lie superalgebras.
description: 21 pages. v2: published version
Additional file 5 of CK2 alpha prime and alpha-synuclein pathogenic functional interaction mediates synaptic dysregulation in huntington’s disease
Creators: name: Yu, Dahyun
name: Zarate, Nicole
name: White, Angel
name: Coates, De’jah
name: Tsai, Wei
name: Nanclares, Carmen
name: Cuccu, Francesco
name: Yue, Johnny S.
name: Brown, Taylor G.
name: Mansky, Rachel H.
name: Jiang, Kevin
name: Kim, Hyuck
name: Nichols-Meade, Tessa
name: Larson, Sarah N.
name: Gundry, Katherine
name: Zhang, Ying
name: Tomas-Zapico, Cristina
name: Lucas, Jose J.
name: Benneyworth, Michael
name: Öz, Gülin
name: Cvetanovic, Marija
name: Araque, Alfonso
name: Gomez-Pastor, Rocio
Publisher: name: figshare
Year: 2022
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Additional file 5. Expressions of all identified co-expression gene modules from WGCNA studies for each mouse sample. A total of 20 different modules were identified when comparing all the genotypes.
Physical Exercise Behavior of Ubon Ratchathani University Undergraduate Students
Creators: name: Sawaeng Watcharathanakij
Publisher: name: Faculty of Pharmaceutical Sciences KKU MSU UBU
Year: 2012
Subjects: Physical exercise, Intention to exercise, Undergraduate Ubon Ratchathani University students

description: Isan Journal ofPharmaceutical Sciences, 8, 3, 35-47
Harnessing Motivation & Emotion to Transform Educational Experiences.
Creators: Daniels, LM
Publisher: name: University of Alberta Library
Year: 2025

Understanding motivation and emotion is pivotal to transforming educational experiences for both students and educators. In this presentation, Lia M. Daniels, PhD, will use robust social psychological theories to explain how motivation and emotions impact academic outcomes, shape learning environments, and are central to a scholarly conceptualization of well-being. Drawing across more than 15 years of research and practical insights, she will discuss evidence-based strategies for fostering adaptive motivation and emotions in classrooms. Special attention will be given to new research on how motivational principles can inform effective classroom assessment practices as one of the most persistent sources of ill-being reported by post-secondary students.
Internal structure of a Maxwell-Gauss-Bonnet black hole
Creators: name: Alexeyev, S.
name: Barrau, A.
name: Rannu, K. A.
Publisher: name: arXiv
Year: 2009
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: The influence of the Maxwell field on a static, asymptotically flat and spherically-symmetric Gauss-Bonnet black hole is considered. Numerical computations suggest that if the charge increases beyond a critical value, the inner determinant singularity is replaced by an inner singular horizon.
description: 5 pages, 5 figures, published version with minor changes
Fairer, faster, more foreseeable: incentives, throughput and stability of proof of work blockchains
Creators: name: Werner, Sam Maximilian
Publisher: name: Imperial College London
Year: 2023

description: Blockchains employ internal and external incentive structures to influence participant behaviour, maintain network security, and ensure stable throughput. Internal incentives, like block rewards and transaction fees, are embedded within the blockchain design, while external incentives arise from market forces and competition. Both incentive structures are crucial for shaping blockchain behaviour and network efficiency. The primary motivation of this thesis is to examine how misaligned incentive structures can negatively affect stability in Proof-of-Work blockchains, focusing on stable block and transaction throughput. The thesis aims to provide novel insights into the negative impact of unstable throughput on individual agents and the network as a whole. Additionally, it evaluates potential attack vectors resulting from misconstructed incentive structures, past exploits, and proposes fairer and more robust mechanisms to align incentives, ensuring higher throughput stability and network security. The contributions of this thesis include the development of an open-source simulation framework called PoolSim. It enables the analysis of miner behaviour under different mining pool reward distribution schemes, including the profitability evaluation of queue-based manipulation strategies and pool-hopping between such pools. The thesis introduces the uncle traps attack, specific to Ethereum queue-based mining pools, which adversely affects block throughput and presents a fix to the uncle block reward distribution mechanism. Furthermore, this thesis examines the impact of difficulty adjustment algorithms on block throughput. It identifies instability in block solve times due to cyclicality observed in Bitcoin Cash and analyses how miners' behaviour contributes to this phenomenon. A novel difficulty algorithm based on a negative exponential filter is derived, eliminating oscillations and ensuring more stable block solve times. Lastly, the thesis addresses transaction throughput improvement by presenting a gas price prediction model for Ethereum. It combines deep-learning-based price forecasting with an urgency-based algorithm, optimising the trade-off between timely inclusion and transaction cost. Empirical analysis and real-world evaluation demonstrate significant cost savings with minimal delays compared to existing mechanisms.
Validation of Kidney Disease Self-screening Questionnaire (KIDs) and Screening for Occult Renal Disease (SCORED) for Chronic Kidney Disease Screening
Creators: name: Waranya Satjamuk
Publisher: name: Faculty of Pharmaceutical Sciences KKU MSU UBU
Year: 2012
Subjects: Chronic kidney disease, Questionnaire, Screening, Validation

description: Isan Journal ofPharmaceutical Sciences, 8, 3, 64-75
Tree structures for the current fluctuations in the exclusion process
Creators: name: Prolhac, Sylvain
Publisher: name: arXiv
Year: 2009
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: We consider the asymmetric simple exclusion process on a ring, with an arbitrary asymmetry between the hopping rates of the particles. Using a functional formulation of the Bethe equations of the model, we derive exact expressions for all the cumulants of the current in the stationary state. These expressions involve tree structures with composite nodes. In the thermodynamic limit, three regimes can be observed for the current fluctuations depending on how the asymmetry scales with the size of the system.
description: 43 pages
Neutrino mass hierarchy and three-flavor spectral splits of supernova neutrinos
Creators: name: Dasgupta, Basudeb
name: Mirizzi, Alessandro
name: Tamborra, Irene
name: Tomas, Ricard
Publisher: name: arXiv
Year: 2010
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: It was recently realized that three-flavor effects could peculiarly modify the development of spectral splits induced by collective oscillations, for supernova neutrinos emitted during the cooling phase of a protoneutron star. We systematically explore this case, explaining how the impact of these three-flavor effects depends on the ordering of the neutrino masses. In inverted mass hierarchy, the solar mass splitting gives rise to instabilities in regions of the (anti)neutrino energy spectra that were otherwise stable under the leading two-flavor evolution governed by the atmospheric mass splitting and by the 1-3 mixing angle. As a consequence, the high-energy spectral splits found in the electron (anti)neutrino spectra disappear, and are transferred to other flavors. Imperfect adiabaticity leads to smearing of spectral swap features. In normal mass hierarchy, the three-flavor and the two-flavor instabilities act in the same region of the neutrino energy spectrum, leading to only minor departures from the two-flavor treatment.
description: v2(11 pages, 9 figures). Matches the version published on PRD. Minor changes in the text and in the Figures. Conclusions unchanged
Cube diagrams and 3-dimensional Reidemeister-like moves for knots
Creators: name: Baldridge, Scott
name: Lowrance, Adam
Publisher: name: arXiv
Year: 2008
Subjects: subject: Geometric Topology (math.GT)
subject: Symplectic Geometry (math.SG)
subject: FOS: Mathematics
subject: 57M25, 57R58

description: In this paper we introduce a representation of knots and links called a cube diagram. We show that a property of a cube diagram is a link invariant if and only if the property is invariant under two types of cube diagram operations. A knot homology is constructed from cube diagrams and shown to be equivalent to knot Floer homology.
description: 31 pages, 34 figures. Final version published by J. Knot Theory Ramifications
The effect of freshwater biofilms on turbulent boundary layers and the implications for hydropower canals
Creators: name: Andrewartha, JM
Publisher: name: University Of Tasmania
Year: 2023

description: The majority of the electricity supplied in Tasmania, Australia, is produced by hydropower. Hydro Tasmania, the power generation utility, operates 29 hydropower stations incorporating 170 km of open channels. These open channels are susceptible to extensive biofilm growth dominated by the freshwater diatoms Gomphonema tarraleahae and Tabellaria flocculosa, which form a gelatinous biofilm several millimetres thick and cause reductions in flow capacity of up to 10%. This thesis presents results of a multidisciplinary study on the effects of freshwater biofilms on hydropower canal capacity and turbulent boundary layer structure. The extent to which the surface roughness affects the structure of the turbulent boundary layer was critically examined, in the context of the wall similarity hypothesis. A recirculating water tunnel, equipped with a floating element force balance and a twodimensional Laser Doppler Velocimetry system, was used to obtain detailed measurements on test plates covered with flow-conditioned freshwater biofilms. Total drag measurements, mean velocity profiles and turbulent Reynolds stresses were compared for smooth, sandgrain and biofouled test plates. An artificial biofilm was developed to study the motion of algae streamers under flow conditions. Each test surface was mapped using digital close-range photogrammetry to provide a three-dimensional surface model. A logarithmic relationship was found between the roughness function and the maximum peak-to-valley height from the photogrammetry measurements for the low-form gelatinous biofilms. Seven methods for determining the wall shear stress were investigated; however, none of the methods examined were entirely satisfactory. A method which can be used for both smooth and rough surfaces with reasonable measurement uncertainty is needed to allow objective comparison of the structure of smooth and rough wall turbulent boundary layers. The presence of biofouling caused a significant increase in the local skin friction coefficient and overall drag coefficient with increases in skin friction of up to 210% measured over smooth plate values. Results for low-form gelatinous biofilms provided support for the wall similarity hypothesis. The biofilms modified the structure of the turbulent boundary layer in the near-wall region. Velocity defect profiles, Reynolds stress profiles and quadrant analyses showed good agreement for different test plate surfaces in the outer region of the boundary layer. The results for an artificial filamentous biofilm were less conclusive, and may not support wall similarity.
Change of the plane of oscillation of a Foucault pendulum from simple pictures
Creators: name: Jordan, Thomas F.
name: Maps, J.
Publisher: name: arXiv
Year: 2009
Subjects: subject: Classical Physics (physics.class-ph)
subject: FOS: Physical sciences

description: The change of the plane of oscillation of a Foucault pendulum is calculated without using equations of motion, the Gauss-Bonnet theorem, parallel transport, or assumptions that are difficult to explain.
description: 5 pages, 4 figures
New Statistical Results on the Angular Distribution of Gamma-Ray Bursts
Creators: name: Balazs, L. G.
name: Horvath, I.
name: Vavrek, R.
name: Bagoly, Z.
name: Meszaros, A.
Publisher: name: arXiv
Year: 2009
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: We presented the results of several statistical tests of the randomness in the angular sky-distribution of gamma-ray bursts in BATSE Catalog. Thirteen different tests were presented based on Voronoi tesselation, Minimal spanning tree and Multifractal spectrum for five classes (short1, short2, intermediate, long1, long2) of gamma-ray bursts, separately. The long1 and long2 classes are distributed randomly. The intermediate subclass, in accordance with the earlier results of the authors, is distributed non-randomly. Concerning the short subclass earlier statistical tests also suggested some departure from the random distribution, but not on a high enough confidence level. The new tests presented in this article suggest also non-randomness here.
description: in GAMMA-RAY BURSTS 2007: Proceedings of the Santa Fe Conference
Bayesian and deep generative modelling for image registration, with a focus on uncertainty quantification & similarity learning
Creators: name: Grzech, Daniel Ignacy
Publisher: name: Imperial College London
Year: 2023

description: Image registration is the process of aligning images into a common coordinate system where discrete pixel locations represent the same semantic information. Beside object detection and image segmentation, image registration is the backbone of many image analysis pipelines. However, practical use of automated image registration is limited by accuracy, which remains unsatisfactory except in case of relatively simple problems, e.g. rigid image registration, where only a single linear transformation applied to an image. In this thesis we present new methods to improve on the existing algorithms for non-rigid image registration, which models local differences between images. Firstly, we formulate a Bayesian model for image registration that overcomes the existing barriers to uncertainty quantification when using a dense, high-dimensional, and diffeomorphic transformation parametrisation, and use stochastic gradient Markov chain Monte Carlo to quantify image registration uncertainty on large, three-dimensional images. Secondly, we develop a variational Bayesian method for diffeomorphic, non-rigid registration of medical images. This model learns in an unsupervised way a data-specific similarity metric for mono-modal atlas-based image registration, i.e. when all the images in the dataset are aligned to a single target image. The similarity metric is parametrised as a neural network and leads to more accurate results than traditional similarity metrics which are used to initialise the model, e.g. sum of squared differences and local cross-correlation. The proposed approach has little to no impact on image registration speed and transformation smoothness. Finally, we formulate unsupervised similarity learning as a maximum likelihood estimation problem, with the similarity metric parametrised as an energy-based model. This formulation simplifies the model and enables us to make use of larger datasets in order to further improve unsupervised image registration accuracy also in case of pairwise image registration, i.e. when using any image in the dataset as the target image.
Non-minimal Kinetic coupling to gravity and accelerated expansion
Creators: name: Granda, L. N.
Publisher: name: arXiv
Year: 2009
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We study a scalar field with kinetic term coupled to itself and to the curvature, as a source of dark energy, and analyze the role of this new coupling in the accelerated expansion at large times. In the case of scalar field dominance, the scalar field and potential giving rise to power-law expansion are found in some cases, and a dynamical equation of state is calculated for a given solution of the field equations. A behavior very close to that of the cosmological constant was found.
description: 17 pages, 1 figure, references added, constraints on time variation of the gravitational coupling added
Development of Quality Indicators of Dispensing Process for Hospital Pharmacists in Rheumatoid Arthritis Patients
Creators: name: Ratchanok Boondee
Publisher: name: Faculty of Pharmaceutical Sciences KKU MSU UBU
Year: 2012
Subjects: Quality Indicator, Rheumatoid Arthritis, Pharmacist, dispensing process

description: Isan Journal ofPharmaceutical Sciences, 8, 3, 76-90
A place in the empire : negotiating the life of Gertrude Kenny
Creators: name: Morris, ME
Publisher: name: University Of Tasmania
Year: 2023

description: In the winter of 1879 a riot broke out at the New Norfolk Hospital for the Insane in Tasmania. The focus was an effigy dressed in a frock and cap that was set alight amidst a cacophony of rough music. The figure represented the Matron, Gertrude Kenny. Exploring one woman's biographical trajectory, this thesis will examine the tensions and interrelationships between identity formation and imperial ideals of class, race and gender. Gertrude Kenny migrated from Britain to Tasmania in 1858, working initially as a parlourmaid to an Anglo-Indian family and then as a nursery governess of a family implicated in the a scandal over Aboriginal remains collected for the Royal College of Surgeons and whose fortunes were tied up with Kenny's own. In 1870 she became a matron, first training neglected and wayward girls for service and then, in 1878, at a hospital for the insane. Here, convalescing after a serious injury, it was rumoured that she was pregnant and she charged the Surgeon-Superintendent with rape. After an enquiry and hearing that found in his favour, Gertrude Kenny was tried for perjury. My thesis is divided into four parts. The first, Point of Departure, maps out my theoretical territory and includes the search for Gertrude Kenny's native place and her 'placing' in the period prior to her departure from England. In Part Two, 'Marking her Territory', I build on her context, moving from the almost unknown of her origins to the particular households and institutions where she worked. In these chapters, Gertrude Kenny forms her colonial identity in a quest for respectability, authority and independence. In Part Three and Part Four, the pace changes. In A Body on Trial, Gertrude Kenny, having been coaxed from obscurity, enters the text in full force, often in her own voice, and always amidst competing narratives. Her particular female embodiment breaks out from acceptable containment, and she is examined, judged and pilloried. The final chapters examine Gertrude Kenny's strategic deployment of the law, media and patronage, if not for retribution, at least for compensation and the re-establishment of her reputation; and how her desire for place, but refusal to be placed, destabilised the political and cultural institutions of a colony struggling with its own identity.
William Faulkner and Sherwood Anderson : A study of a literary relationship
Creators: name: Frame, Gary Andrew
Publisher: name: University of British Columbia
Year: 2011

description: This study explores the nature and extent of Sherwood Anderson's influence upon William Faulkner. It demonstrates, through the use of the comparative method, that Anderson's influence is a major and continuous one. The early New Orlean Sketches strongly echo and, at times, imitate Anderson's work. Faulkner's first novel, Soldiers' Pay, was not only written at Anderson's suggestion but also published through his influence. In Mosquitoes, Faulkner closely modeled his main character after Anderson. Anderson helped Faulkner to organize some of the "folk" material in that novel. Faulkner's early use of negro characters to embody a kind of sane, healthy alternative to the world of the whites may well have been encouraged by Anderson's example. Furthermore, Anderson played an important role, at a crucial period In Faulkner's development, in directing him to the fictional use of the Yoknapatawpha material. He led Faulkner to realize that universality in art could grow out of regional material. Faulkner's sense of community and his exploration of the individual's search for community so closely resemble Anderson's as to suggest some indebtedness. Faulkner's dramatization of the effects of the destruction of that community by the forces of modern commerce and industry is rendered in terms similar to Anderson's. Also, Faulkner's creation of an idyllic, rural world in contrast to the mechanistic, urban world resembles that in Anderson's stories of horses and men. And Faulkner uses Anderson's idea that the world of horses is a totally male world elsewhere in his fiction. There is a strong resemblance, finally, in Faulkner's and Anderson's concept of the grotesque: for both, it concerns truth and its consequences in the individual's Isolation and behaviour. In fact, it is argued that Anderson's "theory of the grotesque" provides a rationale for the larger structure of some of Faulkner's most important work. For these reasons, it is concluded that Anderson was an important force in shaping the form and content of Faulkner's art.
Iron isotope effect on the superconducting transition temperature and the crystal structure of FeSe_1-x
Creators: name: Khasanov, R.
name: Bendele, M.
name: Conder, K.
name: Keller, H.
name: Pomjakushina, E.
name: Pomjakushin, V.
Publisher: name: arXiv
Year: 2010
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: The Fe isotope effect (Fe-IE) on the transition temperature T_c and the crystal structure was studied in the Fe chalcogenide superconductor FeSe_1-x by means of magnetization and neutron powder diffraction (NPD). The substitution of natural Fe (containing \simeq 92% of ^{56}Fe) by its lighter ^{54}Fe isotope leads to a shift of T_c of 0.22(5)K corresponding to an Fe-IE exponent of α_Fe=0.81(15). Simultaneously, a small structural change with isotope substitution is observed by NDP which may contribute to the total Fe isotope shift of T_c.
description: 4 pages, 3 figures
A Spectral Algorithm for Learning Hidden Markov Models
Creators: name: Hsu, Daniel
name: Kakade, Sham M.
name: Zhang, Tong
Publisher: name: arXiv
Year: 2008
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computationally hard (under cryptographic assumptions), and practitioners typically resort to search heuristics which suffer from the usual local optima issues. We prove that under a natural separation condition (bounds on the smallest singular value of the HMM parameters), there is an efficient and provably correct algorithm for learning HMMs. The sample complexity of the algorithm does not explicitly depend on the number of distinct (discrete) observations---it implicitly depends on this quantity through spectral properties of the underlying HMM. This makes the algorithm particularly applicable to settings with a large number of observations, such as those in natural language processing where the space of observation is sometimes the words in a language. The algorithm is also simple, employing only a singular value decomposition and matrix multiplications.
description: Published in JCSS Special Issue "Learning Theory 2009"
Epithelial activation in chronic obstructive pulmonary disease (COPD)
Creators: name: Sohal, Sukhwinder
Publisher: name: University Of Tasmania
Year: 2023

description: `Background:` Early on I identified that reticular basement membrane (Rbm) in current smokers with COPD was highly fragmented, with cracks termed clefts‚ÄövÑvp containing cells. This looked like the described hallmark of EMT (epithelial mesenchymal transition). I followed this preliminary observation with a comprehensive cross-sectional study in which I hypothesized that the airway epithelium is activated in smokers, and that this may promote EMT, but that this will be especially active in COPD. As a part of my thesis, I also investigated the expression and activity of the anti-inflammatory enzyme HDAC2 (histone deacetylase 2) which is reported to be reduced in COPD lungs and may account for associated pulmonary inflammation. I hypothesised that the current literature is correct in stating that HDAC2 is down-regulated in COPD airways and also that these reduced HDAC2 levels are normalised by aggressive inhaled corticosteroid (ICS) therapy and smoking cessation in patients with COPD. \\(Methods\\) \\(and\\) \\(results:\\) Endobronchial biopsies (ebb) from current smokers with COPD (COPD-CS) and ex-smokers with COPD (COPD-ES), smokers with normal lung function (NS) and never-smoking controls (NC) stained for markers of EMT, matrix metalloproteinase-9 (MMP-9), fibroblast protein (S100A4), epidermal growth factor receptor (EGFR), vimentin and cytokeratins. To confirm the extent of suppressed HDAC2 ebb were immuno-stained for HDAC2. In a double-blind, randomized, placebo-controlled study, I assessed the effects of ICS on Rbm fragmentation and HDAC2. Compared to NC, there was significant fragmentation of the Rbm in COPD-CS, COPD-ES and NS groups. COPD-CS, NS and COPD-ES demonstrated increases in staining for: basal epithelial S100A4, epithelial EGFR and MMP-9 and S100A4 for cells in Rbm ``clefts`` compared to NC. Dual staining revealed that vimentin (a mesenchymal marker) co-stained with cytokeratin (an epithelial marker). ICS normalised Rbm fragmentation. Compared to NC there was significant increase in HDAC2 positive cells in NS in the lamina propria (LP) but a decrease in COPD-CS. However, this latter abnormality was due to a reduction in total LP cells and not % cell HDAC2 staining. There were significantly more HDAC2 positive cells in COPD-ES compared to COPD-CS, but again due to an increase in total cell numbers. ICS made no difference to HDAC2 staining. `Conclusions:` This is the first description of likely EMT in smoking and COPD. ICS reversed Rbm fragmentation. HDAC2 expression was reduced in smokers but confounded by changes in cellularity. Quitting does seem to have a real effect on upregulating HDAC2, but it is not affected by ICS.
Characterization of Newcastle Disease Virus Propagated from LLC MK2 Cell Culture
Creators: name: Ratiya Kukhetpitakwong
Publisher: name: Faculty of Pharmaceutical Sciences KKU MSU UBU
Year: 2012
Subjects: Newcastle disease virus, avirulent, fusion protein, cell culture, immune

description: Isan Journal ofPharmaceutical Sciences, 8, 3, 91-99
Charge and spin Hall effect in graphene with magnetic impurities
Creators: name: Ding, Kai-He
name: Zhu, Zhen-Gang
name: Berakdar, Jamal
Publisher: name: arXiv
Year: 2009
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: We point out the existence of finite charge and spin Hall conductivities of graphene in the presence of a spin orbit interaction (SOI) and localized magnetic impurities. The SOI in graphene results in different transverse forces on the two spin channels yielding the spin Hall current. The magnetic scatterers act as spin-dependent barriers, and in combination with the SOI effect lead to a charge imbalance at the boundaries. As indicated here, the charge and spin Hall effects should be observable in graphene by changing the chemical potential close to the gap.
description: 7 pages
"METHODOLOGICAL BASIS FOR RESEARCH ON THE DEVELOPMENT OF HEALTH ORIENTATION IN ADOLESCENT STUDENTS"
Creators: name: Atamuratova, Feruza
Publisher: name: Zenodo
Year: 2025

description: Health is defined as the ability of a person to have their own personality, “self-awareness”, to fully and harmoniously join the Society of people. In our opinion, as a sense of self-awareness develops in adolescence, the perception that their own health is the main criterion for the path to personal development also provides the basis for saying that compliance with the requirements of society and filling the xiss of having a place in oneself is also significant.
Galactic diffuse gamma rays --- recalculation based on the new measurements of cosmic electron spectrum
Creators: name: Zhang, Juan
name: Yuan, Qiang
name: Bi, Xiao-Jun
Publisher: name: arXiv
Year: 2009
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: In this work, we revisit the all-sky Galactic diffuse $γ$-ray emission taking into account the new measurements of cosmic ray electron/positron spectrum by PAMELA, ATIC and Fermi, which show excesses of cosmic electrons/positrons beyond the expected fluxes in the conventional model. Since the origins of the extra electrons/positrons are not clear, we consider three different scenarios to account for the excesses: the astrophysical sources such as the Galactic pulsars, dark matter decay and annihilation. Further, new results from Fermi-LAT of the (extra-)Galactic diffuse $γ$-ray are adopted. The background cosmic rays without the new sources give lower diffuse $γ$ rays compared to Fermi-LAT observation, which is consistent with previous analysis. The scenario with astrophysical sources predicts diffuse $γ$-rays with little difference with the background. The dark matter annihilation models with $τ^{\pm}$ final state are disfavored by the Fermi diffuse $γ$-ray data, while there are only few constraints on the decaying dark matter scenario. Furthermore, these is always a bump at higher energies ($\sim$ TeV) of the diffuse $γ$-ray spectra for the dark matter scenarios due to final state radiation. Finally we find that the Fermi-LAT diffuse $γ$-ray data can be explained by simply enlarging the normalization of the electron spectrum without introduce any new sources, which may indicate that the current constraints on the dark matter models can be much stronger given a precise background estimate.
description: 23pages,7figures; Fermi diffuse gamma ray data are used, the corresponding discussion and figs are changed, sections are reorganized and a new section is added. ApJ in press
title: Exploring parameter interactions and deep learning for modeling pressure related downhole safety conditions during drilling
Creators: name: Osarogiagbon, Augustine Uhunoma
Publisher: name: Memorial University of Newfoundland
Year: 2021

description: Drilling for petroleum is technically engaging, considering the potentially huge risk involved. Blowout due to uncontrolled kick represents a scenario that is to be avoided due to disastrous consequences, e.g. huge financial loss, environmental damage, and death of personnel. Kick occurrence can be prevented if the pore pressure is correctly estimated and the proper drilling mud weight employed. Pore pressure prediction is done in shale lithology; hence a fast means of proper lithology identification is important for pore pressure prediction. Monitoring downhole for pore pressure related hazard therefore includes but is not limited to: monitoring for kick occurrence, monitoring for abnormal pore pressure, and monitoring for changes in lithology for adequate pore pressure prediction. In the field of data science, deep learning is gaining significant interest, which is likely due to its potentials and successful applications. Researchers have begun to explore deep learning in several areas with close affinity to drilling engineering, such as lithology identification, drilling rig state determination, generating logging/other drilling parameters, detecting downhole events, and detecting abnormality in data. Therefore, this serves as a motivation to take advantage of deep learning capabilities in monitoring downhole conditions during drilling to prevent pore pressure based hazardous events. In this dissertation, a novel methodology for kick detection using drilling parameters is presented. Likewise, a novel methodology for predicting the shaliness of a rock formation using drilling parameters is also presented. These methodologies utilized deep learning algorithms in order to achieve the desired objectives. Results obtained using field data justified the development of methodologies with the capability to capture sequential dependencies. Cost represents a significant factor for utilizing drilling parameters in comparison to the use of highly sophisticated/expensive downhole sensors. As part of this dissertation, a novel approach for pore pressure prediction from porosity and resistivity measurement is presented. The aim of combining porosity and resistivity is to explore how the interrelationship between them can enhance pore pressure prediction. The methodology developed for combining porosity and resistivity performed better than the conventional approach based on field data. Machine learning was also employed for pore pressure prediction and better result was also achieved in comparison to conventional approach based on the same field data. In summary, this dissertation presents several novel methodologies for monitoring different aspects of downhole conditions from downhole lithology to downhole drilling events which are important for improved drilling safety.
Aspects of Infamia
Creators: name: Taylor, TS
Publisher: name: University Of Tasmania
Year: 2023

description: This thesis examines the development of the legal concept of infamia in Roman law. The first chapter examines the legal sources for studying Roman law, in particular the Corpus Iuris Ciuilis in order to establish the degree to which they may be relied upon in establishing the law of earlier periods, in particular the period from the late Republic until the reign of Diocletian. A cautiously optimistic conclusion is drawn about the degree to which these sources may be used to establish classical law. A synchronic study is then undertaken of infamia as it appears in the Corpus Iuris Ciuilis, focusing on the terms used to describe persons who are infames and the consequences of infamia. The understanding of infamia gained from this examination is then compared with the concept of infamia that appears in the Codex Theodosianus and in the Roman law-based barbarian codes to provide some guide as to the degree to which Justinian‚ÄövÑvºs compilers may have altered the law. It is argued that, in fact, there is little evidence for doctrinal change under the law of Justinian. The final Chapter adopts a more diachronic approach and attempts to trace back the cases and consequences of infamia established through the synchronic examination of the Justinianic Corpus. It is argued that a ‚ÄövÑvªcore‚ÄövÑvº of people can be identified for the classical period who were continuously subjected to the same legal disabilities that under Justian were embraced by the term infamia. However, it is also argued that infamia as a positive legal concept was a later development. Instead of using an umbrella concept like infamia, late Republican and early Imperial legal documents tended to list exhaustively persons subject to legal disabilities and what those disabilities were. The earliest appearance of infamia or a cognate in the legal sources is as a descriptive term of art for people who undergo certain legal disabilities under the edict, though the term itself was not in the edict. It is tentatively suggested that the existence of a recurring ‚ÄövÑvªcore‚ÄövÑvº of persons undergoing similar legal disabilities encouraged the expansion of the use of this term, which eventually enabled its use as a positive legal concept in later legal sources.
Simulating X-ray Supercavities and Their Impact on Galaxy Clusters
Creators: name: Guo, Fulai
name: Mathews, William G.
Publisher: name: arXiv
Year: 2009
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: Recent X-ray observations of hot gas in the galaxy cluster MS 0735.6+7421 reveal huge radio-bright, quasi-bipolar X-ray cavities having a total energy ~10^{62} ergs, the most energetic AGN outburst currently known. We investigate the evolution of this outburst with two-dimensional axisymmetric gasdynamical calculations in which the cavities are inflated by relativistic cosmic rays. Many key observational features of the cavities and associated shocks are successfully reproduced. The radial elongation of the cavities indicates that cosmic rays were injected into the cluster gas by a (jet) source moving out from the central AGN. AGN jets of this magnitude must be almost perfectly identically bipolar. The relativistic momentum of a single jet would cause a central AGN black hole of mass 10^9 M_{sun} to recoil at ~6000 km s^{-1}, exceeding kick velocities during black hole mergers, and be ejected from the cluster-center galaxy. When the cavity inflation is complete, 4PV underestimates the total energy received by the cluster gas. Deviations of the cluster gas from hydrostatic equilibrium are most pronounced during the early cavity evolution when the integrated cluster mass found from the observed gas pressure gradient can have systematic errors near the cavities of ~10-30%. The creation of the cavity with cosmic rays generates a long-lasting global cluster expansion that reduces the total gas thermal energy below that received from the cavity shock. One Gyr after this single outburst, a gas mass of ~ 6 \times 10^{11} M_{sun} is transported out beyond a cluster radius of 500 kpc. Such post-cavity outflows can naturally produce the discrepancy observed between the cluster gas mass fraction and the universal baryon fraction inferred from WMAP observations. (Abridged)
description: Slightly revised version, accepted for publication in ApJ. 11 pages, 6 figures
Non-linear buckling and large deflection analyses of isotropic and composite stiffened panels using an arbitrarily orientated stiffened element approach
Creators: name: Ojeda, RE
Publisher: name: University Of Tasmania
Year: 2023

description: A new approach for the non-linear buckling and large deflection analyses of isotropic and composite stiffened panels, as used in high speed craft, is presented. Eight node isoparametric elements, formulated according to Marguerre shallow shell theory, are combined with three node beam elements, using the concept of equal displacements at the panel-stiffener interface, to represent the stiffened panels. Non-linear equilibrium equations are derived using the principle of virtual work applied to a continuum with a total Lagrangian description of motion. The arbitrarily stiffened, shallow shell element is capable of modelling eccentric or concentric stiffeners attached to flat or imperfect panels under in-plane or transverse loads. Special modelling considerations for the loading and boundary conditions, required in the linear and non-linear buckling analyses of stiffened panels using arbitrarily stiffened finite elements, are suggested and discussed for the first time. The Newton-Raphson incremental-iterative solution technique is used to obtain the non-linear response path. Results obtained in this investigation are compared with those available in the open literature to demonstrate the validity and efficiency of the proposed approach. Good agreement is found in all the investigated cases.