Miracle-dz/UniFAR-FTUs huggingface dataset:
To appear in ACM TOG 34 ( 4 )

We present a novel implicit formulation for highly viscous fluids simulated with Smoothed Particle Hydrodynamics SPH. Compared to explicit methods, our formulation is significantly more efficient and handles a larger range of viscosities. Differing from existing implicit formulations, our approach reconstructs the velocity field from a target velocity gradient. This gradient encodes a desired shear-rate damping and preserves the velocity divergence that is introduced by the SPH pressure solver to counteract density deviations. The target gradient ensures that pressure and viscosity computation do not interfere. Therefore, only one pressure projection step is required, which is in contrast to state-of-the-art implicit Eulerian formulations. While our model differs from true viscosity in that vorticity diffusion is not encoded in the target gradient, it nevertheless captures many of the qualitative behaviors of viscous liquids. Our formulation can easily be incorporated into complex scenarios with oneand two-way coupled solids and multiple fluid phases with different densities and viscosities. CR Categories: I.3. 7 [Computer Graphics]: Three-Dimensional Graphics and Realism—Animation;
Information Processing in Electronic Markets: Measuring Subjective Interpretation Using Sentiment Analysis

Information availability plays an important role in the efficient resource allocation of electronic markets and e-commerce. Most of this information is of qualitative nature containing essential facts that are, however, difficult to decode. Currently, the information processing capabilities of human agents facing such qualitative news is mostly unknown. Accordingly, it is crucial to understand how different decision makers process qualitative information. In this paper we show that sentiment-analysis facilitates research in qualitative information processing. We use a capital market example to demonstrate how investors and analysts perceive novel information. We find that their interpretation is different from one another: investors rapidly translate novel information into transactions, whereas analysts take more time to respond. We further observe that analysts emphasize different parts of information than investors, and are less put-off by complex information. The approach can be applied to other electronic-markets and the e-commerce industry where individuals react upon textual information.
The Role of ICTs in the Servitisation and Degradation of it Professional Work

Recently IT work has been subjected to management approaches that apply production methods to service work. Specialized ICTs used by IT professionals have played an important role in this ‘service turn’, but this has not been adequately explored in the literature. Via a qualitative study of IT professionals situated across the servitized IT functions of five UK-based organizations, this article considers how these ICTs are inscribed with managerial logics that afford control benefits to managers while undermining professional autonomy and job quality. The article makes two main contributions to the literature. Firstly, it sheds light on how ICTs introduced into organizational IT functions support managerial control objectives and impact the job quality of IT professionals. Secondly, it suggests that ICTs may infect the logic of professionalism that takes pride in the quality of the work performance with a dominant managerial logic that places an emphasis on meeting management objectives.
Comparing cultural differences with domain-specific differences of appreciating and understanding values

ABSTRACT Human endeavors such as promoting science or creating art have a close connection to underlying values and virtues. For example, creativity, curiosity or objectivity provide orientation when working as scientist or artist, outlining the ultimate aim of practitioners active in those domains. The appreciation and interpretation of domain values are expected to depend upon the domain, which should less be the case for moral values. This study investigates differences in the semantics, perceived importance and interpretation of 10 domain and 10 moral values in two domains (art and medicine) and two cultural settings (US, N = 336; Switzerland, N = 554). It is shown that the semantic understanding of values is robust with respect to culture and domain and that the appreciation of values varies in dependence of the domains but not the culture. Cultural factors have a greater impact compared to the domain for domain value interpretation, but not moral value interpretation.
RGame: Embodied gaming for robot learning by demonstration

We here demonstrate robot learning from demonstration using interactive tutelage. Our Dogged Learning architecture (introduced in [1] and shown in Figure 1) combines concepts of teleoperative demonstration, mixed-initiative control, feedback and transparency, and real time policy inference. It is designed to be abstract, applicable to many platforms (robots), demonstration interfaces, and learning algorithms. Briefly, a robot platform provides perceptual inputs to the system, which are displayed to a demonstrator, as well as analyzed by a learned approximate policy. Both the demonstrator and the learner generate desired action outputs, as well as confidence values. The outputs can be NULL, and confidences 0, if either is not present. Using the confidences, the system arbitrates between the two outputs by, for example, taking the more confident output. Results of arbitration are displayed to the user, and the chosen action is passed to the robot, which performs as commanded. Additionally, if the commanded action is from the demonstrator, the action is paired with the perception that led to it, and the pair is used by the learner to update its policy approximation. The DL architecture is embedded within the RGame program, which allows for users who are not co-located with the robots to generate demonstration data for them. Further, the system collects data for learning, and manages the learned policies. It is a goal of our work that remote users can log in, train robots to perform tasks, and then continue to monitor and improve their performance over time.
A Method for Non-Rigid Face Alignment via Combining Local and Holistic Matching

We propose a method for non-rigid face alignment which only needs a single template, such as using a person’s smile face to match his surprise face. First, in order to be robust to outliers caused by complex geometric deformations, a new local feature matching method called K Patch Pairs (K-PP) is proposed. Specifically, inspired by the state-of-art similarity measure used in template matching, K-PP is to find the mutual K nearest neighbors between two images. A weight matrix is then presented to balance the similarity and the number of local matching. Second, we proposed a modified Lucas-Kanade algorithm combined with local matching constraint to solve the non-rigid face alignment, so that a holistic face representation and local features can be jointly modeled in the object function. Both the flexible ability of local matching and the robust ability of holistic fitting are included in our method. Furthermore, we show that the optimization problem can be efficiently solved by the inverse compositional algorithm. Comparison results with conventional methods demonstrate our superiority in terms of both accuracy and robustness.
Eddy-Driven Recirculations from a Localized Transient Forcing

AbstractThe generation of time-mean recirculation gyres from the nonlinear rectification of an oscillatory, spatially localized vorticity forcing is examined analytically and numerically. Insights into the rectification mechanism are presented and the influence of the variations of forcing parameters, stratification, and mean background flow are explored. This exploration shows that the efficiency of the rectification depends on the properties of the energy radiation from the forcing, which in turn depends on the waves that participate in the rectification process. The particular waves are selected by the relation of the forcing parameters to the available free Rossby wave spectrum. An enhanced response is achieved if the parameters are such to select meridionally propagating waves, and a resonant response results if the forcing selects the Rossby wave with zero zonal group velocity and maximum meridional group velocity, which is optimal for producing rectified flows. Although formulated in a weakly nonli.
Defining youth psychopathy

Defining Youth Psychopathy by Arva Bensaheb Dr. Christopher Kearney, Examination Committee Chair Director of Clinical Training University of Nevada, Las Vegas Psychopathy has been considered one of the most dangerous and pervasive of disorders known to date. The construct has been researched extensively in the adult male criminal population but an ongoing debate remains as to whether personality or behavioral criteria should be considered cardinal to this disorder. A preliminary construct for “adolescent psychopathy” has been based on downward extensions of adult criteria such as the Psychopathy Checklist Revised (PCL-R). This process has been controversial, however, and yielded no conclusive findings. This study adopted a “back to basics” approach to define the construct of adolescent psychopathy using clinicians’ judgments.
Asymptotic Capacity of Multi-User MIMO Correlated Channels

This paper introduces a new formula to derive explicit capacity expressions of a class of communication schemes, including single-cell multi-user MIMO and multi-cell point-topoint MIMO, when the wireless channels have separable variance profiles and the system dimensions grow large. As an introductory example, we study point-to-point MIMO channels with multicell interference, in downlink. In this setting, we provide new asymptotic capacity expressions when single-user decoding or MMSE decoding are used. Simulations are shown to corroborate the theoretical claims, even when the number of transmit/receive antennas is not very large.
Photocatalysis for Renewable Energy Production Using PhotoFuelCells

The present work is a short review of our recent studies on PhotoFuelCells, that is, photoelectrochemical cells which consume a fuel to produce electricity or hydrogen, and presents some unpublished data concerning both electricity and hydrogen production. PhotoFuelCells have been constructed using nanoparticulate titania photoanodes and various cathode electrodes bearing a few different types of electrocatalyst. In the case where the cell functioned with an aerated cathode, the cathode electrode was made of carbon cloth carrying a carbon paste made of carbon black and dispersed Pt nanoparticles. When the cell was operated in the absence of oxygen, the electrocatalyst was deposited on an FTO slide using a special commercial carbon paste, which was again enriched with Pt nanoparticles. Mixing of Pt with carbon paste decreased the quantity of Pt necessary to act as electrocatalyst. PhotoFuelCells can produce electricity without bias and with relatively high open-circuit voltage when they function in the presence of fuel and with an aerated cathode. In that case, titania can be sensitized in the visible region by CdS quantum dots. In the present work, CdS was deposited by the SILAR method. Other metal chalcogenides are not functional as sensitizers because the combined photoanode in their presence does not have enough oxidative power to oxidize the fuel. Concerning hydrogen production, it was found that it is difficult to produce hydrogen in an alkaline environment even under bias, however, this is still possible if losses are minimized. One way to limit losses is to short-circuit anode and cathode electrode and put them close together. This is achieved in the “photoelectrocatalytic leaf”, which was presently demonstrated capable of producing hydrogen even in a strongly alkaline environment.
A DTN Stack for Cognitive Radio Networks

In this paper, we evaluate over a software defined radio testbed the performance of a DTN implementation in cognitive radio networks. Our experimental platform uses USRP devices operated by the GNU radio platform for physical and MAC layers operations. Over the deployed software archietcture, we have compared 2 existing DTN implementations then run a set of expirements in order to chatacterize the reaction of the DTN bundle protocol to dynamically frequency changing environment. Our experiments show that DTN can offer lower delivery delays in cognitive radio networks. This improvement can reach 35% over highly dynamic spectrum bands.
Carcinoid tumours of the thymus.

BACKGROUND--Carcinoid tumours of the thymus are rare. The clinical manifestations, radiographic findings, and cytological features of eight histopathologically verified thymic carcinoid tumours have been assessed. METHODS--One hundred and sixty two patients of mean age 52 (range 31-68) years with malignant mediastinal tumours were reviewed retrospectively and eight cases of thymic carcinoid were identified. Four of the eight patients were diagnosed by percutaneous ultrasound guided fine needle aspiration biopsy via a parasternal approach. RESULTS--Two patients had Cushing's syndrome at presentation and four had symptoms and signs secondary to mediastinal compression. Two were asymptomatic. Local extension of the tumour to pleura, pericardium, great vessels, phrenic nerve or regional lymph nodes, or both, were found in seven patients. Only one had the tumour confined to the thymus at diagnosis. Distant metastases were found in two patients, one to both lungs and the other in the iliac bone. Local recurrence or distant metastases developed 15-60 months after surgery in four of the five patients who underwent radical resection of the thymic tumour. Three patients died at 17 months, 34 months, and 10 years after diagnosis. The other five patients are alive at 9-51 months. CONCLUSION--Thymic carcinoid is a slow growing tumour with a poor prognosis because of its tendency to local and distant spread. Cytological examination of samples obtained by ultrasound guided fine needle aspiration may provide a useful method for diagnosis in selected patients.
Immunohistochemical localization of an inositol 1,4,5-trisphosphate receptor, P400, in neural tissue: studies in developing and adult mouse brain

The immunohistochemical localization of P400/inositol 1,4,5- trisphosphate (InsP3) receptor protein was studied in developing and adult mouse brain by using monoclonal antibodies. The developmental expression pattern of P400/InsP3 receptor protein differed among different classes of neurons. It was first detected in the somata of immature Purkinje cells at embryonic day 17, in the ventrolateral region of the posterior vermis in the cerebellum. Axonal immunoreactivity within the cerebellar nuclei was first present at postnatal day 3. Neurons in the retrosplenial cortex, the anterior olfactory nucleus, and the CA1 region of the hippocampus expressed immunoreactivity earlier than other regions of the brain. In the adult brain, not only the Purkinje cell but also many other types of cells in many areas of the brain expressed P400/InsP3 receptor, though to a lesser extent. These included the neurons in the striatum, globus pallidus, nucleus accumbens septi, anterior olfactory nucleus, olfactory tubercle, precommissural hippocampus, hippocampus, substantia nigra, cerebral cortex, pons, and certain hypothalamic nuclei. Forebrain cortical regions that receive afferents from the olfactory bulb, such as the anterior olfactory nucleus, olfactory tubercle, prepiriform cortex, entorhinal cortex, and amygdala, exhibited distinct immunoreactivity, while olfactory bulb was almost devoid of staining. Immunoreactivity in the axonal pathways was also found in the limbic- hypothalamic pathways, strionigral projection, and part of the corpus callosum. Results of Western blot analysis and 3H-InsP3 binding assay were consistent with the qualitative regional differences of immunoreactivity demonstrated by immunohistochemical study. The location of InsP3 receptor in the brain correlates well with the InsP3 binding sites demonstrated by an autoradiographic study.
405 A Study of Upright Posture Stabilization by Ground Reaction Force Control

When standing on a slope, a human adjusts his or her posture, i.e., ankle joint angles adjust to the gradient of the slope. In such adaptive behavior, ground reaction forces play an important role. Based on this view, we propose a new posture control law that employs PD and force feedback control, and prove its effectiveness in creating local stability. Applying this control law to a simple robot system, we examine this law's e±ciency. In this experiment, the robot achieves a behavior adaptive to constant external force. Finally, we discuss the possibility of control only using force feedback in consideration of human muscle properties.
Fully persistent arrays with optimal worst-case complexity

: We describe a RAM implementation of fully persistent array with worst-case O (log log m ) time complexity for update and lookup, where m is the number of modiﬁcations to the array. The space complexity of such persistent array with n elements is O ( n + m ) . This lookup complexity is shown to be asymptotically optimal even for partially persistent arrays in the cell probe model using recent results of P˘atra¸scu and Thorup. Hence there cannot exist any fully persistent array, persistent hashtable nor any persistent graph with constant-time operations. We also improve the complexity of update and lookup to O (log log min( n, m )) and show how to augment the algorithm to cooperate with the garbage collector to free unreachable data.
“Paying it forward” via satisfying a basic human need: The need for relatedness satisfaction mediates gratitude and prosocial behavior

People who receive kindness tend to feel gratitude and act in a prosocial manner toward third persons (i.e., “paying it forward”). Combining the separate evidence that (a) gratitude leads to the formation of strong psychological bonds from a beneficiary to a benefactor and that (b) people become more prosocial toward strangers when the need for relatedness (NFR) is satisfied, two online experiments were conducted to examine if NFR satisfaction mediates the association between gratitude and prosocial behavior toward third persons. After evoking gratitude by recalling past experiences (Study 1) or writing a letter to someone (Study 2), participants were asked to make a donation from their remuneration for the experiment to a charity organization. As predicted, emotional manipulation promoted donation via feelings of gratitude and satisfied NFR. Implications of the current model for integrating previous findings are discussed.
Specific Serotonergic Denervation Affects tau Pathology and Cognition without Altering Senile Plaques Deposition in APP/PS1 Mice

Senile plaques and neurofibrillary tangles are major neuropathological features of Alzheimer's Disease (AD), however neuronal loss is the alteration that best correlates with cognitive impairment in AD patients. Underlying neurotoxic mechanisms are not completely understood although specific neurotransmission deficiencies have been observed in AD patients and, in animal models, cholinergic and noradrenergic denervation may increase amyloid-beta deposition and tau phosphorylation in denervated areas. On the other hand brainstem neurodegeneration has been suggested as an initial event in AD, and serotonergic dysfunction, as well as reductions in raphe neurones density, have been reported in AD patients. In this study we addressed whether specific serotonergic denervation, by administering 5,7-dihydroxitriptamine (5,7-DHT) in the raphe nuclei, could also worsen central pathology in APPswe/PS1dE9 mice or interfere with learning and memory activities. In our hands specific serotonergic denervation increased tau phosphorylation in denervated cortex, without affecting amyloid-beta (Aβ) pathology. We also observed that APPswe/PS1dE9 mice lesioned with 5,7-DHT were impaired in the Morris water maze test, supporting a synergistic effect of the serotonergic denervation and the presence of APP/PS1 transgenes on learning and memory impairment. Altogether our data suggest that serotonergic denervation may interfere with some pathological aspects observed in AD, including tau phosphorylation or cognitive impairment, without affecting Aβ pathology, supporting a differential role of specific neurotransmitter systems in AD.
Big Data Refinement

"Big data" has become a major area of research and associated funding, as well as a focus of utopian thinking. In the still growing research community, one of the favourite optimistic analogies for data processing is that of the oil refinery, extracting the essence out of the raw data. Pessimists look for their imagery to the other end of the petrol cycle, and talk about the "data exhausts" of our society. Obviously, the refinement community knows how to do "refining". This paper explores the extent to which notions of refinement and data in the formal methods community relate to the core concepts in "big data". In particular, can the data refinement paradigm can be used to explain aspects of big data processing?
Reliable adaptive lightweight multicast protocol

Typical applications of mobile ad hoc networks (MANET) require group-oriented services. Digital battlefields and disaster relief operations make data dissemination and teleconferences a key application domain. Network-supported multicast is hence critical for efficient any-to-many communications. However, very little work has been done on "reliable" transport multicast. We propose and evaluate reliable adaptive lightweight multicast (RALM). The design choices of RALM are motivated by lessons we learned from evaluating the performance of traditional wired reliable multicast transport protocols (in particular, SRM) in ad hoc networks. We argue the two components, reliability and congestion control, are essential in designing a reliable multicast transport protocol for MANETs. RALM addresses both reliability and congestion control. It achieves reliability by guaranteeing data delivery to troubled receivers in a round-robin fashion. RALM's send-and-wait congestion control uses NACK feedback to adjust to congestion experienced by receivers. We show through simulations that RALM achieves perfect reliability while exhibiting low end-to-end delay and minimal control overhead compared against other protocols.
Localization of faults in software programs using Bernoulli divergences

Software testing and debugging play a vital role in developing reliable software. A crucial part of debugging is fault localization - the process of identifying the locations of bugs, i.e., lines of code that are faulty due to a human error. For real systems, fault localization can be costly, requiring much human time and effort. To address this code, researchers have proposed a number of useful techniques for fault localization. However, effective and accurate fault localization remains an elusive goal at present. This paper presents a novel approach, which is based on Bernoulli divergences - a family of divergences that use Bernoulli random variables - to automate fault localization. Thus, our approach takes concepts from information theory and machine learning and applies them to software engineering. Initial experimental results a suite of programs show this approach for fault localization holds promise.