Miracle-dz/UniFAR-FTUs huggingface dataset:
Dissection of appetitive conditioning : does impulsivity play a role?

Rationale: It is generally assumed that cue-reactivity results from appetitive pavlovian learning. This is the reason for applying cue exposure with response prevention interventions in the treatment of substance and eating disorders. However, not all appetitive conditioned responses are equally sensitive to extinction. Additionally, impulsivity traits appear to moderate cue-reactivity. Nevertheless, there has been little research on the role of impulsivity traits in the learning of different appetitive response systems. Objectives: The purpose of the present study was (i) to replicate Van Gucht et al.’s (2010) ﬁndings, in particular, the acquisition and the differential extinction of appetitive learned responses and ii) to investigate the role of impulsivity traits in appetitive learning. Methods: Participants ( n = 50) took part in a single laboratory session. Impulsivity traits (reward sensitivity, response inhibition, sensation seeking) were measured at the beginning of the session. A paradigm similar to Van Gucht et al.’s (2010) was used for the acquisition and extinction of subjective conditioned responses for milk chocolate (craving, expectancy, and liking). Results: The acquisition of appetitive responses was successful. Unlike craving and liking, the extinction of expectancy was fully successful. Impulsivity traits played no role in the acquisition and extinction of appetitive conditioning. Conclusions: The results support the differential sensitivity of different appetitive response systems to extinction. The lack of ﬁndings for the role of impulsivity traits in appetitive learning shows that the question of how impulsivity affects appetitive behaviour still remains open. Theoretical and methodological issues and clinical implications of the ﬁndings are discussed.
3.1 Introduction

This chapter describes modeling and animating procedural textures, gases, and liquids. The main thrust of the chapter is on procedurally modeling and animating volume density functions for creating realistic images and animations of gases and fluids. A volume density function is a three-dimensional function (vf d(x; y; z)) that defines the density of a continuous three-dimensional space. By using volume rendering techniques[5], volume density functions can create volumetric gases and fluids. Volume density functions are the natural extension of solid texturing to describing the actual geometry of the object. Volume density functions are being used extensively in computer graphics for modeling and animating gases, fire, fur, liquids, and other ''soft'' objects. I have used them extensively for modeling and animating gases such as steam and fog [2, 7, 5, 3]. Hypertextures [18], metaballs [22](also called implicit surfaces and soft objects), and Inakage's flames [10] are other examples of the use of volume density functions. As mentioned above, this chapter described how to model and animate volumetric gases. Therefore, I should first explain why we want to model and animate gases in computer graphics. There are two reasons. First, we need gases for visual realism. Gases such as fog, steam, smoke, and clouds are a part of our everyday environment. In order to create realistic images of our environment, these gases must be included. Both indoor and outdoor scenes benefit from the addition of gases. The realism and mood of outdoor scenes, such as a dark, dreary forest can be increased greatly by the addition of elements such as fog. Realism of indoor scenes can also be enhanced by the inclusion of steam rising from a cup of coffee or smoke from a fireplace. Second, gases can be used for artistic effects. As the movie director uses fog machines and similar devices to set the stage of his drama, so can the computer animator use computer generated fog (and other gases) for dramatic effects. There have been several previous approaches to modeling gases in computer graphics. Kajiya, [11], has used a simple physical approximation for the formation and animation of clouds. Gardner, [8], has use solid textured hollow ellipsoids in modeling clouds and more recently produced animations of smoke rising from a forest fire [9]. Other approaches include the use of height fields [14], constant density media [13, 15], and fractals [21]. The author has developed several approaches for modeling and …
Multi Objective Ameliorated Repetitive Resource Allocation Algorithm for Cloud Resource Scheduling and Allocation

Mapping huge jobs onto cloud resources is a part of workﬂow scheduling, which increases scheduling effectiveness. Numerous researchers have been working hard to enhance the efﬁciency of scheduling in cloud computing as a result of this piqued interest. Scientiﬁc workﬂows, on the other hand, are huge data applications, therefore the executions are costly and time-consuming. Thus, a
Laryngeal Cancer Risks in Workers Exposed to Lung Carcinogens: Exposure-Effect Analyses Using a Quantitative Job Exposure Matrix.

INTRODUCTION Various established occupational lung carcinogens are also suspected risk factors for laryngeal cancer. However, individual studies are often inadequate in size to investigate this relatively rare outcome. Other limitations include imprecise exposure assessment and inadequate adjustment for confounders. METHODS This study applied a quantitative job exposure matrix (SYN-JEM) for four established occupational lung carcinogens to five case-control studies within the INHANCE Consortium. We used occupational histories for 2256 laryngeal cancer cases and 7857 controls recruited from 1989-2007. We assigned quantitative exposure levels for asbestos, respirable crystalline silica, chromium-VI, and chromium-VI & nickel combined (to address highly correlated exposures) via SYN-JEM. We assessed effects of occupational exposure on cancer risk for males (asbestos, respirable crystalline silica, chromium-VI, chromium-VI & nickel) and females (asbestos, respirable crystalline silica), adjusting for age, study, tobacco smoking, alcohol consumption, and asbestos exposure where relevant. RESULTS Among females, odds ratios (ORs) were increased for ever versus never exposed. Among males, p-values for linear trend were <0.05 for estimated cumulative exposure (all agents) and <0.05 for exposure duration (respirable crystalline silica, chromium-VI, and chromium-VI & nickel); strongest associations were for asbestos at >90%ile cumulative exposure (OR=1.3, CI=1.0-1.6), respirable crystalline silica at 30+ years duration (OR=1.4, CI=1.2-1.7) and 75%-90%ile cumulative exposure (OR=1.4, CI=1.1-1.8), chromium-VI at >75%ile cumulative exposure (OR=1.9, CI=1.2-3.0), and chromium-VI & nickel at 20-29 years duration (OR=1.5, CI=1.1-2.2). CONCLUSIONS These findings support hypotheses of causal links between four lung carcinogens (asbestos, respirable crystalline silica, chromium-VI, and nickel) and laryngeal cancer.
The complexity of approximate counting

There are several computational problems that can be formulated as problems of counting the number of objects having a certain property. Valiant [22] has introduced the class #P which includes a variety of counting problems such as counting the number of perfect matchings in a graph, computing the permanent of a matrix [22], finding the size of a backtrack search tree [14], and computing the probability that a network remains connected when links can fail with a certain probability [23]. We define and study a class of restricted, but very natural, probabilistic sampling methods motivated by the particular counting problems mentioned above. Instead of “singleton sampling” the algorithm is allowed to sample a large set S ample; U in one step; the information returned from the sample is whether S contains any element having the property being counted. We attempt to classify the complexity of computing approximate solutions to problems in #P. The classification is done in terms of the polynomial-time hierarchy (for short, P-hierarchy) [21]. We give a relativization result that complements a recent result of Sipser and Gaacute;c [19] that BPP is contained in the second level of the P-hierarchy.
Interdependence of Sentiment Indicators - A Case of Polish OTC Market

Prices observed on emerging markets are affected by market sentiment changes. The article presents an interdependence analysis of a chosen set of sentiment indicators observed on the Polish OTC market. The set contains both interest rate market (basis swap, asset swap, convergence swap, overnight index swap), foreign exchange market (ATM volatility, risk reversal) and equity market (WIG20). The analysis is focused on cointegration and Granger causality approach in order to present forecasting power of elaborated models. Evidence from the market reveals economic link between the time series that comes from the strong influence of the cross-border trading between non-residents and local market makers. High responsiveness of daily prices of OTC instruments to the changes of the market sentiment and a level of the risk aversion can be proven. Moreover, error correction model using foreign exchange options has practical forecasting power generating adequate trading decisions taken by market makers.
A Trajectory Planning-Based Energy-Optimal Method for an EMVT System

In this paper, a trajectory planning-based energy-optimal method is proposed to reduce the energy consumption of novel electromagnetic valve train (EMVT). Firstly, an EMVT optimization model based on state equation was established. Then, the Gauss pseudospectral method (GPM) was used to plan energy-optimal trajectory. And a robust feedforward-feedback tracking controller based on inverse system method is proposed to track the energy-optimal trajectory. In order to verify the effectiveness of the energyoptimal trajectory, a test bench was established. Finally, co-simulations based on MATLAB Simulink and AVL Boost were carried out to illustrate the effect of energyoptimal trajectories on engine performance. Experimental results show that the robust tracking controller can achieve good position tracking performance. And these energyoptimal trajectories can save up to 40% of the energy consumption compared with the conventional camshaft valve trajectories.
Multi-Semicircle based Single-and Dual-Band Narrowband Frequency Selective Surfaces

—This paper proposes two new frequency selective surface (FSS) designs based on specific combinations of a multiple number of semicircles. One of the proposed designs makes use of four semicircles, yielding a single band frequency response. The other proposed FSS design consists of a combination of eight semicircles arranged in a square like shape, yielding a dual-band frequency response. The proposed designs were simulated with commercial electromagnetic (EM) simulation software. Narrower bandwidth and better oblique incidence angular stability have been achieved with the single-band FSS, despite its resemblance with classical swastika designs. On the other hand, the dual-band variant presents narrower bandwidths compared to classical square design, with the advantage of dual-band frequency selectivity, in which the upper resonance frequency can be tuned independently from the first one. Both band reject and band pass implementations of these FSS designs, were evaluated and are discussed in this paper. Two passive prototypes were assembled and measured in an anechoic chamber.
Dear Author: Attached you will find a pdf of the proofs of your article scheduled to appear in a forthcoming issue of Neural Computation. Please print out the pdf of your proof on standard

Please print out the pdf of your proof on standard size paper (8 1⁄2 x 11) single-sided, and check for accuracy and consistency, making especially sure to check the accuracy of material that only you can verify (such as numerical data or spelling of proper names). Please also check all figures on the proofs for orientation, legibility, and overall quality and initial your approval next to all figures. Throughout, please limit your changes to those necessary to correct errors or inconsistencies. Major changes to the manuscript or replacement of figures may not be made. Note that changes resulting in repagination of the issue will not be accepted. Please do not send a revision of your article and do not alter the pdf that was sent to you. If you are unable to get the corrections back to us within the requested time frame, we can not guarantee that your changes will be incorporated.
NRMI: natural and efficient middleware

We present NRMI: a drop-in replacement of Java RMI that offers call-by-copy-restore semantics for arbitrary linked data structures, in addition to regular call-by-copy semantics. Call-by-copy-restore middleware is more natural to use than traditional call-by-copy RPC mechanisms, enabling distributed calls to behave much like local calls. We discuss in depth the effect of calling semantics for middleware, describe how call-by-copy-restore can be implemented efficiently, and show examples of Java programs where NRMI is more convenient than regular Java RMI.
SHIP: A Scalable Hierarchical Power Control Architecture for Large-Scale Data Centers — Supplementary File

The supplementary file of the paper is organized as follows. Section II introduces the power distribution hierarchy used in many data centers. Section III describes the controller design and analysis of the PDU-level power controller. Section IV discusses the rack-level power controller. Section VI provides additional implementation details of our control architecture and additional empirical results on a physical testbed. Section VII presents our simulation results in large-scale data centers. Section VIII discusses more related work. Section IX concludes the file.
Sustaining organizational culture change in health systems.

PURPOSE The questions addressed by this review are: first, what are the guiding principles underlying efforts to stimulate sustained cultural change; second, what are the mechanisms by which these principles operate; and, finally, what are the contextual factors that influence the likelihood of these principles being effective? The paper aims to discuss these issues. DESIGN/METHODOLOGY/APPROACH The authors conducted a literature review informed by rapid realist review methodology that examined how interventions interact with contexts and mechanisms to influence the sustainability of cultural change. Reference and expert panelists assisted in refining the research questions, systematically searching published and grey literature, and helping to identify interactions between interventions, mechanisms and contexts. FINDINGS Six guiding principles were identified: align vision and action; make incremental changes within a comprehensive transformation strategy; foster distributed leadership; promote staff engagement; create collaborative relationships; and continuously assess and learn from change. These principles interact with contextual elements such as local power distributions, pre-existing values and beliefs and readiness to engage. Mechanisms influencing how these principles sustain cultural change include activation of a shared sense of urgency and fostering flexible levels of engagement. PRACTICAL IMPLICATIONS The principles identified in this review, along with the contexts and mechanisms that influence their effectiveness, are useful domains for policy and practice leaders to explore when grappling with cultural change. These principles are sufficiently broad to allow local flexibilities in adoption and application. ORIGINALITY/VALUE This is the first study to adopt a realist approach for understanding how changes in organizational culture may be sustained. Through doing so, this review highlights the broad principles by which organizational action may be organized within enabling contextual settings.
Design and Implementation of a Fuzzy Controller for Steering Microparticles Inside Blood Vessels by Using a MRI System

RESUME Le present memoire porte sur l’etude de la conception et la realisation d’un controleur flou avec une seule entree et multiples sorties. Une telle etude vise a pouvoir controler un appareil clinique d’Imagerie par resonance magnetique (IRM) pour fournir des forces de pilotage dans le but de naviguer une microparticule ferromagnetique ou une agregation de ces microparticules le long d’une trajectoire predefinis a l’interieur du systeme cardio-vasculaire humaine. L’algorithme de ce controleur a ete propose sur un modele mathematique du fluide dynamique, et sa validite a ete verifiee par les resultats preliminaires de simulations en 2-D generes avec les logiciels MATLAB et C++. A l’aide d’un IRM clinique, des experiences de navigation en temps reel sur des petites perles ainsi que des microparticules ont egalement ete realisees dans un flux pulsatile. Connexes donnees experimentales peuvent prouver que, malgre certaines limites, ce type de controleur flou a le potentiel pour devenir le controleur approprie applique a la navigation par resonance magnetique (NRM). ----------ABSTRACT In this thesis, a Single-Input-Multiple-Output (SIMO) fuzzy controller is designed to drive an upgraded clinical real-time Magnetic Resonance Imaging (MRI) machine to provide steering forces for a single microparticle and an aggregation of ferromagnetic microparticles in the human cardiovascular system according to a pre-defined pathway. Based on a fluid dynamic mathematical model, the validity of this kind of controller has firstly been tested by preliminary 2-Dimensional (2-D) simulation results with MATLAB/C++ hybrid programming. With both the beads and real microparticles, real-time experiments were also performed with simulated Magnetic Resonance (MR) sequences and 2-D pulsatile flow. Related experimental data also illustrates that, despite some limitations, this kind of fuzzy controller has the potential to be the appropriate controller for Magnetic Resonance Navigation (MRN).
Research on the Laborers Allocation for the Aircraft Assembly Line Using an Improved Greedy Algorithm

—As a complex discrete manufacturing system, aircraft assembly line has a lot of different types of laborers. Currently, there are few effective optimization algorithms for laborers allocation problem (LAP). Based on a real aircraft assembly line and its characteristics, the paper proposed an improved greedy algorithm (IGA) which tries to resolve laborer allocation problem. This paper formulates multiple objective functions and constraints according to the actual demand. The utility function is employed to deal with the difficulty of integrating several conflicting and incommensurable objectives into one overall measure. The IGA is an optimization method to achieve balance control of LAP in the discrete manufacturing system based on the core idea of the greedy algorithm. That is to say, optimization can be obtained through moving different operations in a parallel way while the precedence constraints remain unchanged. During the optimization process, 11 attributes are defined for each operation so that the code can be written and the mathematical calculations can be conducted easily. Meanwhile, an example is used to illustrate the optimization process of the algorithm. In this paper, a self-contrast experiment is conducted to verify the validity of the IGA for LAP. The experimental results demonstrate that the IGA can effectively solve the LAP for aircraft assembly line.
EXPANDED CHOREOGRAPHY: Shifting the agency of movement in The Artificial Nature Project and 69 positions

Through two books and a series of video documentations of live performances Mette Ingvartsen makes choreography into a territory of physical, artistic and social experimentation. The Artificial Nature Series focusses on how relations between human and non-human agency can be explored and reconfigured through choreography. By investigating and creating a ‘nonhuman theater’ questions regarding material agency, ecology, natural disasters, the Anthropocene and non-subjective performativity are posed. The resulting reflections are closely related to the poetic principles utilized to create the performances, while also drawing connections to territories outside theater. By contrast, 69 positions inscribes itself into a history of human performance with afocus on nudity, sexuality and how the body historically has been a site for political struggles. By creating a guided tour through sexual performances – from the naked protest actions of the 1960’s, through an archive ofpersonal performances into a reflection on contemporary sexual practice – this solo work rethinks audience participation and proposes a notion of soft and social choreography. The contrasting performative strategiesarticulate a twofold notion of expanded choreography: on the one hand movement is extended beyond the human body by including the agency of nonhuman performers, and on the other hand, movement is expanded into animaginary and virtual space thanks to ‘language choreography’.
University of Birmingham Speed and sensitivity − integration of electrokinetic preconcentration with a leaky waveguide biosensor

: Improving the limit of detection by preconcentration and reducing the response time of optical biosensors are key requirements to enable their use in point of care (PoC) applications. To address these requirements, we have shown that integration of isoelectric focusing (IEF) at a pH step with a leaky waveguide (LW) sensor containing a non-specific affinity ligand (reactive blue 4 dye (RB4)) can reduce the limit of detection of an exemplar protein (bovine serum albumin (BSA)) by a factor of 600 - 930 and reduce the response time to < 60 s. This is 6 - 9 times better preconcentration and up to 16 times faster response time than previous reports. IEF was performed with standard ampholytes and with simple acids and bases forming a pH step. Using ampholytes gave good preconcentration, but was much slower than using a pH step. The LW sensor used a thin agarose hydrogel layer into which RB4 was immobilized. The dye acted both as a non-specific affinity ligand and to visualize the waveguide resonances. This allowed the refractive index of the waveguide to be monitored in real time at any point along the 10 mm separation channel length.
MIS on trees

A maximal independent set on a graph is an inclusion-maximal set of mutually non-adjacent nodes. This basic symmetry breaking structure is vital for many distributed algorithms, which by now has been fueling the search for fast local algorithms to find such sets over several decades. In this paper, we present a solution with randomized running time O(√log n log log n) on trees, improving roughly quadratically on the state-of-the-art bound. Our algorithm is uniform and nodes need to exchange merely O(log n) many bits with high probability. In contrast to previous techniques achieving sublogarithmic running times, our approach does not rely on any bound on the number of independent neighbors (possibly with regard to an orientation of the edges).