Miracle-dz/UniFAR-FTUs huggingface dataset:
Learning Cross-domain Semantic-Visual Relation for Transductive Zero-Shot Learning

Zero-Shot Learning (ZSL) aims to learn recognition models for recognizing new classes without labeled data. In this work, we propose a novel approach dubbed Transferrable Semantic-Visual Relation (TSVR) to facilitate the cross-category transfer in transductive ZSL. Our approach draws on an intriguing insight connecting two challenging problems, i.e. domain adaptation and zero-shot learning. Domain adaptation aims to transfer knowledge across two different domains (i.e., source domain and target domain) that share the identical task/label space. For ZSL, the source and target domains have different tasks/label spaces. Hence, ZSL is usually considered as a more difficult transfer setting compared with domain adaptation. Although the existing ZSL approaches use semantic attributes of categories to bridge the source and target domains, their performances are far from satisfactory due to the large domain gap between different categories. In contrast, our method directly transforms ZSL into a domain adaptation task through redrawing ZSL as predicting the similarity/dissimilarity labels for the pairs of semantic attributes and visual features. For this redrawn domain adaptation problem, we propose to use a domain-specific batch normalization component to reduce the domain discrepancy of semantic-visual pairs. Experimental results over diverse ZSL benchmarks clearly demonstrate the superiority of our method.
Weak solvability of fractional Voigt model of viscoelasticity

In the present paper we establish the existence of weak solutions to one fractional Voigt type model of viscoelastic fluid. This model takes into account a memory along the motion trajectories. The investigation is based on the theory of regular Lagrangean flows, approximation of the problem under consideration by a sequence of regularized Navier-Stokes systems and the following passage to the limit.
Dovepress Open Access to Scientific and Medical Research Open Access Full Text Article Effect of Magnetic Nanoparticles of Fe 3 O 4 and 5-bromotetrandrine on Reversal of Multidrug Resistance in K562/a02 Leukemic Cells

This study aims to evaluate the multidrug resistance (MDR) reversal activity by magnetic nanoparticles of Fe 3 O 4 (MNPs-Fe 3 O 4) and 5-bromotetrandrine (BrTet) MDR cell line K562/A02 solitarily or symphysially. The proliferation of K562 and K562/A02 cells and the cytotoxicity on peripheral blood mononuclear cells (PMBCs) were evaluated by MTT assay. Cellular accumulation of daunorubicin (DNR) was analyzed by flow cytometry. Real-time polymerase chain reaction and Western blotting analyses were performed to examine the mRNA and protein levels of mdr1, respectively. The results showed that the combination of MNPs-Fe 3 O 4 and BrTet with effective concentrations significantly increased cytotoxicity against MDR cell line K562/A02. Both BrTet and MNPs-Fe 3 O 4 increased the intracellular DNR accumulation in the K562/A02 cell line, and downregulated the level of mdr1 gene and expression of P-glycoprotein. Furthermore, the combination did not have significant cytotoxicity in PMBCs. We propose that MNPs-Fe 3 O 4 conjugated with DNR and BrTet probably have synergetic effects on MDR reversal.
A history of the systems approach in geomorphology Une histoire de l'approche systémique en géomorphologie

A systems approach in geomorphology has a long and varied history that tracks developments in physics, chemistry, biology, and ecology. Four related stages started with classical mechanics and moved through classical thermodynamics and open systems to non-equilibrium thermodynamics and dissipative systems. New ideas emerged in each of the stages that led to fresh concepts about the dynamics of geomorphic systems. Classical mechanics and classical thermodynamics promoted the idea of equilibrium, open systems thermodynamics fostered the idea of steady state and dynamic equilibrium, and non-equilibrium thinking generated the linked ideas of complexity and chaos.
Calibrated Fairness in Bandits

We study fairness within the stochastic, \emph{multi-armed bandit} (MAB) decision making framework. We adapt the fairness framework of"treating similar individuals similarly"to this setting. Here, an `individual' corresponds to an arm and two arms are `similar' if they have a similar quality distribution. First, we adopt a {\em smoothness constraint} that if two arms have a similar quality distribution then the probability of selecting each arm should be similar. In addition, we define the {\em fairness regret}, which corresponds to the degree to which an algorithm is not calibrated, where perfect calibration requires that the probability of selecting an arm is equal to the probability with which the arm has the best quality realization. We show that a variation on Thompson sampling satisfies smooth fairness for total variation distance, and give an $\tilde{O}((kT)^{2/3})$ bound on fairness regret. This complements prior work, which protects an on-average better arm from being less favored. We also explain how to extend our algorithm to the dueling bandit setting.
Fusion of multi-spectral and panchromatic images based on 2D-PWVD and SSIM

A combined method using 2D pseudo Wigner-Ville distribution (2D-PWVD) and structural similarity(SSIM) index is proposed for fusion of low resolution multi-spectral (MS) image and high resolution panchromatic (PAN) image. First, the intensity component of multi-spectral image is extracted with generalized IHS transform. Then, the spectrum diagrams of the intensity components of multi-spectral image and panchromatic image are obtained with 2D-PWVD. Different fusion rules are designed for different frequency information of the spectrum diagrams. SSIM index is used to evaluate the high frequency information of the spectrum diagrams for assigning the weights in the fusion processing adaptively. After the new spectrum diagram is achieved according to the fusion rule, the final fusion image can be obtained by inverse 2D-PWVD and inverse GIHS transform. Experimental results show that, the proposed method can obtain high quality fusion images.
Static stability and swim bladder volume in the bluegill sunfish Lepomis macrochirus

The static stability of a fish in the water is determined by the relative locations of its center of mass and center of buoyancy. These locations may not be constant, but may depend on the volume of the swim bladder. Changes in swim bladder volume affect both the distribution of mass and the overall volume of the fish, thus affecting the location of the center of mass and center of buoyancy, respectively. To determine the static stability and to examine the influence of the swim bladder on static stability, we used micro-computed tomography to estimate the locations of the center of mass and center of buoyancy in bluegill sunfish (Lepomis macrochrius). In fish oriented head up in the scanner, we found that the center of buoyancy is located 0.441 body lengths from the snout and 0.19 body lengths above the ventral surface of the pelvic girdle, and that the center of mass is 0.0012 BL posterior to and 0.00045 BL ventral to the center of buoyancy. Swim bladders from our specimens ranged in size from 1.9% to 7.6% total body volume, and we found no correlation between swim bladder volume and the distance between the center of mass and center of buoyancy. However, in fish scanned in a head-down orientation, the center of mass is anterior and dorsal to the center of buoyancy—the opposite configuration of that found in fish oriented head up. This change in center of mass and center of buoyancy seems to be caused by changes in the location of the swim bladder in the body: the centroid of the swim bladder is located more posteriorly in fish oriented head-down. The air in the bladder “rises” while heavier tissues “sink,” driving a change in tissue distribution and changing the location of the center of mass relative to the center of buoyancy. We conclude that while static stability does not change with swim bladder volume, pitch angle could have a marked effect on static stability.
Patient outcome in migraine prophylaxis: the role of psychopharmacological agents

included in the current review. Results: The most effective pharmacological treatment for migraine prophylaxis is propranolol and anticonvulsants such as topiramate, valproic acid, and amitriptyline. Nonmedical treatments such as acupuncture, biofeedback, and melatonin have also been proposed. Peripheral neurostimulation has been suggested for the treatment of chronic daily headache that does not respond to prophylaxis and for the treatment of drug-resistant primary headache. The majority of the pharmacological agents available today have limited efficacy and may cause adverse effects incompatible with long-term use. Limitations: The review was limited by the highly variable and often insufficient reporting of the complex outcome data and by the fact that migraine prophylaxis trials typically use headache diaries to monitor the course of the disease. The results of the different studies were also presented in different ways, making comparison of the results difficult. Discussion: An adequate prophylaxis is crucial in reducing disability and preventing the evolution of the problem into a chronic progressive illness. The implications of the present findings were discussed.
Schémas Volumes Finis en mécanique des fluides complexes

Le travail de these expose dans ce manuscrit porte sur le developpement et l’analyse numerique de schemas volumes finis de type dualite discrete (DDFV) pour la discretisation des equations de Darcy en milieu poreux heterogene anisotrope et celle des equations de Stokes avec viscosite variable. Un point commun a ces problemes, qui motive l’emploi des schemas DDFV, est que leur resolution par volumes finis necessite d’approcher toutes les composantes du gradient de la solution. Les schemas DDFV consistent a discretiser la solution de l’equation simultanement aux centres des volumes de controle et aux sommets du maillage. Ce double jeu d’inconnues permet de definir naturellement un gradient discret sur des maillages tres generaux, ne verifiant en particulier pas necessairement la condition d’orthogonalite classique des maillages volumes finis. On etudie tout d’abord la discretisation du probleme de diffusion scalaire anisotrope pour des conditions aux bords mixtes de type Dirichlet/Fourier. Le schema que nous proposons permet de construire un algorithme de Schwarz discret associe a une decomposition de domaine sans recouvrement avec des conditions de transmission de type Fourier qui converge vers la solution obtenue sans decomposition. Des experiences numeriques illustrent les resultats theoriques d’estimation d’erreur et de convergence des algorithmes de Schwarz DDFV. On se propose ensuite de discretiser des problemes de Stokes avec une viscosite variable. Les schemas DDFV correspondant sont en general mal poses. Pour y remedier, on stabilise le bilan de masse par differents termes en pression. Dans un premier temps, on suppose la viscosite reguliere. L’analyse du schema, qui conduit a une estimation d’erreur optimale, repose sur une inegalite de Korn discrete et sur une condition inf-sup discrete utilisant le terme de stabilisation en pression. Dans un second temps, on considere le cas ou la viscosite est discontinue. Ces discontinuites doivent etre prise en compte par le schema pour surmonter la perte de consistance des contraintes a l’interface. Ceci necessite la construction de nouveaux operateurs discrets definis a l’aide des inconnues artificielles. L’etude theorique devient plus compliquee. Dans tous les cas, l’existence et l’unicite de solutions discretes sont demontrees, ainsi que des estimations d’erreur optimales. Une premiere etude de l’extension des schemas DDFV des equations de Stokes aux equations de Navier-Stokes est egalement presentee. Une generalisation des resultats pour le probleme de Stokes avec une viscosite variable et reguliere est donnee dans le cas tridimensionnel. Des tests numeriques illustrent les differentes estimations d’erreur.
Examining Committee

A metal-insulator-metal (MIM) device is used to rectify high frequency radiation received through an antenna coupled to it. In this study, a Ta-SiO2-Ta MIM device was fabricated and characterized. SiO2 layers with different thicknesses of 2nm, 5nm and 8nm were deposited and evaluated both electrically and optically. Tantalum was deposited using a sputtering system, while the oxide was evaporated using an E-beam evaporator. A Keithley 4200-SCS system combined with a four-probe station was adopted to measure both current-voltage and capacitance-voltage (C-V) characteristics. The I-V curves for all MIM devices were almost linear except the one with 8nm of SiO2 exhibited some nonlinearity. The C-V measurement that was carried out at AC frequency showed changing resistance for all samples and the resistance decreased as the thickness decreased. However, the E-beam SiO2 was found not to be a desirable oxide for MIM application due to the existence of many defects.
Some results on unipotent orbital integrals

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Losing Control: How and Why People Fail at Self-Regulation

Basic Issues: Introduction: Self-Regulation Failure in Social and Theoretical Context. General Patterns and Mechanisms of Self-Regulation Failure. Controlling Thoughts, Feelings, and Actions: Task Performance and Self-Regulation Failure: Blowing It. Self-Management: Taking Care of Yourself. Thoughts Out of Control. Failure to Control Emotions and Moods. Controlling Impulses and Appetities: Impulses and Appetites. Alcohol Consumption and Abuse. Eating Too Much. Smoking. A Sampler of Other Behavioral Control Problems: Gambling, Shopping, and Aggression. Conclusion: Self Regulation: Propects, Problems, and Promises. References. Subject Index.
Multimodal Audio-textual Architecture for Robust Spoken Language Understanding

Tandem spoken language understanding 001 (SLU) systems suffer from the so-called 002 automatic speech recognition (ASR) error 003 propagation problem. Additionally, as the 004 ASR is not optimized to extract semantics, but 005 solely the linguistic content, relevant semantic 006 cues might be left out of its transcripts. In 007 this work, we propose a multimodal language 008 understanding (MLU) architecture to mitigate 009 these problems. Our solution is based on 010 two compact unidirectional long short-term 011 memory (LSTM) models that encode speech 012 and text information. A fusion layer is also 013 used to fuse audio and text embeddings. 014 Two fusion strategies are explored: a simple 015 concatenation of these embeddings and a 016 cross-modal attention mechanism that learns 017 the contribution of each modality. The ﬁrst 018 approach showed to be the optimal solution 019 to robustly extract semantic information from 020 audio-textual data. We found that attention 021 is less effective at testing time when the text 022 modality is corrupted. Our model is evaluated 023 on three SLU datasets and robustness is tested 024 using ASR outputs from three off-the-shelf 025 ASR engines. Results show that the proposed 026 approach effectively mitigates the ASR error 027 propagation problem for all datasets. 028
Characteristics and Application of the NHPP Log-Logistic Reliability Model

In this paper, a Nonhomogeneous Poisson Process (NHPP) reliability model based on the two-parameter Log-Logistic (LL) distribution is considered. The essential model’s characteristics are derived and represented graphically. The parameters of the model are estimated by the Maximum Likelihood (ML) and Non-linear Least Square (NLS) estimation methods for the case of time domain data. An application to show the flexibility of the considered model are conducted based on five real data sets and using three evaluation criteria. We hope this model will help as an alternative model to other useful reliability models for describing real data in reliability engineering area.
Combining class-specific fragments for object classification

We describe an approach to object classification based on the conjunction of multiple classspecific object fragments detected in the image. The method represents members of a given class (such as a face, or a car) using combinations of common sub-structures, termed fragments. These fragments are partial 2-D patterns extracted from examples views of objects belonging to the class in question. An object view is covered by multiple, overlapping fragments of several types, and at multiple levels of complexity. We describe the detection of the individual fragments, and the combination of the fragments to detect complete objects. The combination of fragments to form a consistent overall arrangement is based in this scheme on a number of simple mechanisms: the use of overlapping fragments, a spatial `voting' scheme, and by imposing some constraints on the tolerated location of the fragments within the overall object view. We present experimental results of the application of the method to the detection of face and car views in cluttered scenes and to partially occluded objects. We present evidence that by combining fragments from different objects the method can deal successfully with intra-object variability within a class. The method is more economical and more resistant to occlusion and deformations than methods relying on global object views. Introduction In this paper we study the challenging task of detecting different objects from a given class (such as a face or a car) in an image. In addition to the unknown location and illumination of the object, the method must deal with intra-class variability between objects from the same class. The detection process must therefore cover a range of possible shapes, missing parts and additional clutter. To deal with the problem of shape variability and detect novel shapes of a given class, Turk & Pentland (1991) used the principal components of registered face views. Views of novel objects can be approximated by the superposition of several basis functions, or 'eigenfaces'. Poggio & Sung (1994) used a distribution-based modeling scheme for detecting faces in cluttered scenes. They represented a face view as a gray level vector with 283 components, and trained a multi-layered preceptron network to classify such data as face/non-face vectors. The generalization to novel shapes within the class is obtained in these schemes by the inherent generalization capacity of the neural network mechanism. Rowley, Baluja & Kanade (1995) and Lin, Kung & Lin (1996) BMVC99
Edge Computing : A Survey of the Emerging 5 G Network Edge Cloud Architecture & Orchestration

Multi-access Edge Computing (MEC) is an emerging ecosystem, which aims at converging telecommunication and IT services, providing a cloud computing platform at the edge of the Radio Access Network (RAN). MEC offers storage and computational resources at the edge, reducing latency for mobile end users and utilizing more efficiently the mobile backhaul and core networks. This paper introduces a survey on MEC and focuses on the fundamental key enabling technologies. It elaborates MEC orchestration considering both individual services and a network of MEC platforms supporting mobility, bringing light into the different orchestration deployment options. In addition, this paper analyzes the MEC reference architecture and main deployment scenarios, which offer multi-tenancy support for application developers, content providers and third parties. Finally, this paper overviews the current standardization activities and elaborates further on open research challenges.
User and device localization using probabilistic device log trilateration

This paper describes a method to learn demand models and find relative locations of users and devices based on usage logs only. It therefore allows the monitoring and optimization of infrastructures using a signal that is often already available. Absolute positions can be obtained by combining the usage logs with a small number of hand-labeled positions of users and/or devices.
Low-Fidelity Stochastic Approach for Airfoil-Turbulence Interaction Noise

Introduction The noise due to the interaction of turbulent flow with the leading edge of an airfoil is a primary source of aerodynamic noise. The problem is illustrated in Fig. 1. Turbulence is, by its very nature, stochastic and therefore has a broad frequency spectrum which makes it more difficult to calculate the effect induced by it. Acoustic radiation from an airfoil subjected to a real flow is one such effect induced by turbulence and demands high-performance computing for its prediction numerically. The methods which are available now range back from analytical ones, which are fast but not precise enough to capture nonlinear effects, to the numerical one, which heavily depends on the computing resources [1].
Scholarlycommons Logical and Computational Aspects of Programming with Sets/bags/lists Recommended Citation Logical and Computational Aspects of Programming with Sets/bags/ Lists Logical and Computational Aspects of Programming with Sets/bags/lists Ms-cis-91-29 Logic & Computation 31 Logical and Com

We study issues that arise in programming with primitive recursion over non-free datatypes such as lists, bags and sets. Programs written in this style can lack a meaning in the sense that their outputs may be sensitive to the choice of input expression. We are, thus, naturally led to a set-theoretic denotational semantics with partial functions. We set up a logic for reasoning about the definedness of terms and a deterministic and terminating evaluator. The logic is shown to be sound in the model, and its recursion free fragment is shown to be complete for proving definedness of recursion free programs. The logic is then shown to be as strong as the evaluator, and this implies that the evaluator is compatible with the provable equivalence between different set (or bag, or list) expressions. Oftentimes, the same non-free datatype may have different presentations, and it is not clear a priori whether programming and reasoning with the two presentations are equivalent. We formulate these questions, precisely, in the context of alternative presentations of the list, bag, and set datatypes and study some aspects of these questions. In particular, we establish back-and-forth translations between the two presentations, from which it follows that they are equally expressive, and prove results relating proofs of program properties, in the two presentations. Abstract. We study issues that arise in programming with primitive recursion over non-free datatypes such as lists, bags and sets. Programs written in this style can lack a meaning in the sense that their outputs may be sensitive to the choice of input expression. We are, thus, naturally lead to a set-theoretic denotational semantics with partial functions. We set up a logic for reasoning about the definedness of terms and a deterministic and terminating evaluator. The logic is shown to be sound in the model, and its recursion free fragment is shown to be complete for proving definedness of recursion free programs. The logic is then shown to be as strong as the evaluator, and this implies that the evaluator is compatible with the provable equivalence between different set (or bag, or list) expressions. Oftentimes, the same non-free datatype may have different presentations, and it is not clear a priori whether programming and reasoning with the two presentations are equivalent. We formulate these questions, precisely, in the context of alternative presentations of the list, bag, and set datatypes and study some aspects of these questions. …