Miracle-dz/UniFAR-FTUs huggingface dataset:
A new spatiotemporal regularization approach for reconstruction of cardiac transmembrane potential patterns

The single-beat reconstruction of electrical cardiac sources from body-surface electrocardiogram data might become an important issue for clinical application. The feasibility and field of application of noninvasive imaging methods strongly depend on development of stable algorithms for solving the underlying ill-posed inverse problems. We propose a novel spatiotemporal regularization approach for the reconstruction of surface transmembrane potential (TMP) patterns. Regularization is achieved by imposing linearly formulated constraints on the solution in the spatial as well as in the temporal domain. In the spatial domain an operator similar to the surface Laplacian, weighted by a regularization parameter, is used. In the temporal domain monotonic nondecreasing behavior of the potential is presumed. This is formulated as side condition without the need of any regularization parameter. Compared to presuming template functions, the weaker temporal constraint widens the field of application because it enables the reconstruction of TMP patterns with ischemic and infarcted regions. Following the line of Tikhonov regularization, but considering all time points simultaneously, we obtain a linearly constrained sparse large-scale convex optimization problem solved by a fast interior point optimizer. We demonstrate the performance with simulations by comparing reconstructed TMP patterns with the underlying reference patterns.
IMGT, the international ImMunoGeneTics database

IMGT, the international ImMunoGeneTics database (http://imgt.cnusc. fr:8104), is a high-quality integrated database specialising in Immunoglobulins (Ig), T cell Receptors (TcR) and Major Histocompatibility Complex (MHC) molecules of all vertebrate species, created in 1989 by Marie-Paule Lefranc, Université Montpellier II, CNRS, Montpellier, France (lefranc@ligm.igh.cnrs.fr). IMGT comprises three databases: LIGM-DB, a comprehensive database of Ig and TcR, MHC/HLA-DB, and PRIMER-DB (the last two in development); a tool, IMGT/DNAPLOT, developed for sequence analysis and alignments; and expertised data based on the IMGT scientific chart, the IMGT repertoire. By its high quality and its easy data distribution, IMGT has important implications in medical research (repertoire in autoimmune diseases, AIDS, leukemias, lymphomas), therapeutic approaches (antibody engineering), genome diversity and genome evolution studies. IMGT is freely available at http://imgt.cnusc. fr:8104
The Internalization of Advertising Services: An Inter-Industry Analysis

Abstract This study investigates the extent to which U.S. advertisers use in-house rather than independent advertising agencies and examines inter-industry variation in such internalization. Contrary to the widely-held impression that use of an in-house advertising agency is more the exception than the rule, we find that vertical integration of advertising services is much more widespread than has hitherto been appreciated. Drawing on concepts from research on scale economies and transaction costs, we develop a set of hypotheses about differences in the expected depth of internalization across industries. We test these hypotheses in cross sectional analyses of data covering 69 two digit SIC industries at two points in time, 1991 and 1999. In both years, approximately half of advertisers of all sizes operated an in-house agency. Across industries, we find that the likelihood of internalization of at least some advertising services decreases as the size of advertising outlays increase but increases as advertising intensity and technological intensity increase and is greater for “creative” industries.
Relations between Life Satisfaction, Adjustment to Illness, and Emotional Distress in a Sample of Men with Ischemic Cardiopathy

Fifty-two men who had suffered a first episode ischemic heart disease reported their degree of life satisfaction, the strategies they used to adjust to the illness, and the symptoms of anxiety and depression they felt. The multiple regression analyses carried out indicated that emotional distress was associated with a lower level of life satisfaction. In the analyses of anxiety symptoms, the use of negative adjustment strategies was also a significant predictor. Lastly, a significant Life Satisfaction x Type of Adjustment interaction was obtained. According to this, the patients who felt more satisfaction with their lives used more positive strategies to adjust to the illness and fewer negative ones, than the group of patients who were less satisfied. In conclusion, life satisfaction predicts emotional well-being of patients with ischemic heart disease and it enhances the implementation of appropriate strategies to cope with the disease. Moreover, although life satisfaction has been considered a stable measure, we suggest it may change as the experience of illness limits individuals' important goals. Cincuenta y dos varones que acababan de sufrir algún episodio de cardiopatía isquémica por primera vez informaron del grado de satisfacción con su vida, las estrategias empleadas para ajustarse a la enfermedad y los síntomas de ansiedad y depresión que sentían. Los análisis de regresión múltiple realizados mostraron que el malestar emocional se asociaba con una menor satisfacción vital; y en el caso de la ansiedad, se añadía una tendencia a utilizar en mayor medida estrategias negativas de ajuste. Finalmente, se obtuvo una interacción significativa satisfacción vital x tipo de ajuste a la enfermedad, indicando que los pacientes más satisfechos utilizaban más el ajuste adaptativo que los menos satisfechos, y tendían a utilizar menos que estos últimos el ajuste negativo. Puede concluirse que la satisfacción predice el bienestar emocional de los pacientes con cardiopatía isquémica, facilitando la puesta en marcha de estrategias más adecuadas ante la enfermedad. Además se sugiere la posibilidad de que el nivel de satisfacción pueda variar con el tiempo a medida que la enfermedad limite metas importantes para el individuo.
Frame-Based Dynamic Voltage and Frequency Scaling for an MPEG Player

This paper describes a dynamic voltage and frequency scaling (DVFS) technique for MPEG decoding to reduce the energy consumption while maintaining a quality of service (QoS) constraint. The computational workload for an incoming frame is predicted by using a frame-based history so that the processor voltage and frequency can be scaled to provide the exact amount of computing power needed to decode the frame. More precisely, the required decoding time for each frame is separated into two parts: a frame-dependent (FD) part and a frame-independent (FI) part. The FD part varies greatly according to the type of the incoming frame whereas the FI part remains constant regardless of the frame type. Separation of the FI part from the overall decoding sequence provides two key benefits depending on the hardware platform: better compensation of the error due to workload prediction and higher level of energy saving when given a QoS degradation level. The proposed DVFS scheme has been implemented on two platforms, a low performance StrongArm-1110-based evaluation board from Intel and a high performance XScale-based testbed designed at USC. In the StrongArm-1110-based system, the FI part is used to compensate for the prediction error that may occur during the FD part, whereas in the XScale-based system, the FI part is used to reduce energy consumption by employing the lowest CPU frequency during the corresponding time intervals. Detailed current measurements in these two platforms demonstrate larger than 87% and 80% CPU energy saving while maintaining a user-provided frame, respectively. Index Terms — Dynamic voltage and frequency scaling, MPEG decoding, workload decomposition.
Induction of ischemic stroke in awake freely moving mice reveals that isoflurane anesthesia can mask the benefits of a neuroprotection therapy

Anesthetics such as isoflurane are commonly used to sedate experimental animals during the induction of stroke. Since these agents are known to modulate synaptic excitability, inflammation and blood flow, they could hinder the development and discovery of new neuroprotection therapies. To address this issue, we developed a protocol for inducing photothrombotic occlusion of cerebral vessels in fully conscious mice and tested two potential neuroprotectant drugs (a GluN2B or α4β2 nicotinic receptor antagonist). Our data show in vehicle treated mice that just 20 min of exposure to isoflurane during stroke induction can significantly reduce ischemic cortical damage relative to mice that were awake during stroke. When comparing potential stroke therapies, none provided any level of neuroprotection if the stroke was induced with anesthesia. However, if mice were fully conscious during stroke, the α4β2 nicotinic receptor antagonist reduced ischemic damage by 23% relative to vehicle treated controls, whereas the GluN2B antagonist had no significant effect. These results suggest that isoflurane anesthesia can occlude the benefits of certain stroke treatments and warrant caution when using anesthetics for pre-clinical testing of neuroprotective agents.
Plasmodium falciparum and Schistosoma mansoni coinfection and the side benefit of artemether-lumefantrine in malaria patients.

INTRODUCTION The distribution of both malaria and schistosomiasis exhibits a large geographical overlap in tropical environments, particularly in sub-Saharan Africa. This part of the world currently harbours more than 85% of the estimated global burden of these diseases. Studies showed that artemisinin derivatives used for the treatment of malaria also have an antischistosomal effect. This study aimed to investigate the extent of malaria-schistosomiasis co-infection and the antischistosomal effect of artemether-lumefantrine when administered to treat falciparum malaria in Kemise, Northeast Ethiopia. METHODOLOGY Stool samples were collected from 152 microscopically confirmed malaria patients and diagnosed for schistosomiasis using the Kato-Katz technique before treatment. The schistosomiasis cure rate and egg reduction were determined in co-infected patients, who were treated with artemether-lumefantrine,. RESULTS Twenty-eight out of 152 malaria patients were co-infected (18.4%, n = 152) with schistosomiasis. All 28 co-infected patients were found stool-negative for Schistosoma mansoni eggs four weeks after treatment. The extent of co-infection was associated with age, sex and educational level. Cure rate and egg reduction rate following the treatment of artemether-lumefantrine were 100%. CONCLUSION The co-infection rate was associated with patient characteristics. Artemether-lumefantrine was effective against S. mansoni in co-infected patient. Multicenter and randomized trials, however, are needed for a better understanding of the efficacy of artemether-lumefantrine against schistosome infection with ranges of intensity.
Constant Light Disrupts the Developing Mouse Biological Clock

The central biological clock of the brain, contained within the suprachiasmatic nuclei (SCN) of mammals, orchestrates an orderly “internal day” of physiology and behavior. The developing biological clock begins to respond to light at an early stage and a particular concern in humans is whether light exposure has disruptive effects on the developing biological clock of infants exposed to constant lighting conditions in neonatal intensive care units (NICUs). Worldwide, eighteen million, or 14%, of newborns estimated to be of low birth weight, are exposed to artificial lighting environments in hospital nurseries annually. Here, we have tested whether constant light (LL) exposure disrupts the developing biological clock of mice, using a circadian reporter transgenic mouse model in which the organization of the central biological clock can be assayed by real-time gene expression imaging. We now find that LL has both acute and long-term disruptive effects on developing biological clocks and that cyclic lighting conditions are critical for developing circadian clocks to coordinate their molecular circadian mechanisms. This suggests that, from the perspective of developing circadian organization in humans, cyclic light conditions in NICUs are likely to be most appropriate for infants.
Autonomous collision-free behavior of a snake-like robot

As we know, a snake-like robot imitating the locomotion of real snakes can adapt to many kinds of environments. A successful collision-free behavior is necessary for adaptive locomotion of the snake-like robot. Many researchers have used Amplitude Modulation Method (AMM) to realize the turn motion of the snake robot. However, most of them are only qualitative studies without any concrete analysis of this method. For this reason, this research tries to solve these problems and give a computational model of Amplitude Modulation Method (AMM) for turn motion. Based on a head-navigated motion pattern, how to implement the proposed model for a collision-free behavior automatically is investigated. A simple simulation environment is constructed to verify the designed control strategy for this autonomous collision-free behavior of the snake-like robot.
The analysis and improvement of a current-steering DACs dynamic SFDR-I: the cell-dependent delay differences

For a high-accuracy current-steering digital-to-analog converters (DACs), the delay differences between the current sources is one of the major reasons that cause bad dynamic performance. In this paper, a mathematical model describing the impact of the delay differences on the DACs SFDR property is presented. The results are verified by comparison to behavioral-level simulations and to actual measurement data from published papers. Based on this analysis, the delay differences cancellation (DDC) technique to reduce the impact of the delay differences on the SFDR property is proposed and verified by simulation results.
Simulating in-plane fatigue damage in woven glass fibre-reinforced composites subject to fully reversed cyclic loading

The interest in using fibre-reinforced composites in structural components is increasing. Some of these structural composites, such as wind turbine blades, aircraft components and torsion shafts are subject to fatigue loadings. It is widely accepted that fully reversed cyclic loading is the most adverse loading for fibre-reinforced composites, but the modelling of the material behaviour under this loading condition is very difficult. In this paper, a damage model is presented for woven glass fibre-reinforced composites subject to fully reversed cyclic loading. First fatigue experiments have been conducted in displacement-controlled fully reversed bending and the stiffness degradation and damage patterns have been observed. Based on these experimental data, a damage model has been developed, which includes the in-plane stress components and the degradation of the in-plane elastic properties. The model has been implemented in a commercial finite-element code and simulation of the successive stages in the fatigue life has been performed. The model has been validated for a plain woven glass fabric reinforced composite and simulated stiffness degradation, damage growth and damage distribution have been compared with experimental data.
A Novel Mouse Model of Aortic Valve Stenosis Induced by Direct Wire Injury

Objective—The response-to-tissue-injury theory is currently the favorite paradigm to investigate valve pathology. To the best of our knowledge, there are currently no in vivo valve injury models. There are few calcific aortic valve stenosis (AVS) models that develop hemodynamically significant stenosis. Here, we investigated the effect of direct mechanical injury on aortic valves in vivo and developed a novel mouse model of calcific AVS. Approach and Results—Aortic valve injury was created by inserting and moving a spring guidewire under echocardiographic guidance into the left ventricle of male C57/BL6 mice via right common carotid artery. Serial echocardiographic measurements revealed that aortic velocity was increased 1 week after injury and persistently increased until 16 weeks after injury. AVS mice showed a higher heart weight/body weight ratio and decreased left ventricular fractioning shortening 4 weeks after injury, compared with sham mice. We found remarkable proliferation of valve leaflets 4 weeks after injury. Proliferative valves showed increased production of reactive oxygen species and expression of inflammatory cytokines and osteochondrogenic factors. Alizarin red staining showed valvular calcification 12 weeks after injury. Conclusions—We report a novel calcific AVS model to support the response-to-tissue-injury theory. This model may be a valuable tool for analyzing the mechanism of AVS and assessing therapeutic options.
Faster Rates for the Frank-Wolfe Method over Strongly-Convex Sets

The Frank-Wolfe method (a.k.a. conditional gradient algorithm) for smooth optimization has regained much interest in recent years in the context of large scale optimization and machine learning. A key advantage of the method is that it avoids projections - the computational bottleneck in many applications - replacing it by a linear optimization step. Despite this advantage, the known convergence rates of the FW method fall behind standard first order methods for most settings of interest. It is an active line of research to derive faster linear optimization-based algorithms for various settings of convex optimization. In this paper we consider the special case of optimization over strongly convex sets, for which we prove that the vanila FW method converges at a rate of 1/t2. This gives a quadratic improvement in convergence rate compared to the general case, in which convergence is of the order 1/t, and known to be tight. We show that various balls induced by lp norms, Schatten norms and group norms are strongly convex on one hand and on the other hand, linear optimization over these sets is straightforward and admits a closed-form solution. We further show how several previous fastrate results for the FW method follow easily from our analysis.
REAL TIME MODELING OF ACOUSTIC PROPAGATION IN COMPLEX ENVIRONMENTS

In order to achieve high-quality audio-realistic rendering in com- plex environments, we need to determine all the acoustic paths that go from sources to receivers, due to specular reflections as well as diffraction phenomena. In this paper we propose a novel method for computing and auralizing the reflected as well as the diffracted field in 2.5D environments. The method is based on a preliminary geometric analysis of the mutual visibility of the environment re- flectors. This allows us to compute on the fly all possible acoustic paths, as the information on sources and receivers becomes avail- able. The construction of a beam tree, in fact, is here performed through a look-up of visibility information and the determination of acoustic paths is based on a lookup on the computed beam tree. We also show how to model diffraction using the same beam tree structure used for modeling reflection and transmission. In order to validate the method we conducted an acquisition campaign over a real environment and compared the results ob- tained with our real-time simulation system.
Development of antibiotic and debriding enzyme-loaded PLGA microspheres entrapped in PVA-gelatin hydrogel for complete wound management

Abstract A biocompatible moist system was developed for effective and complete wound healing. Optimized PLGA microspheres of gentamicin (GM) and serratiopeptidase (STP) were incorporated into PVA-gelatin slurry and casted into films to prepare multiphase hydrogel. The prepared system was characterized by in vitro and in vivo studies. Results revealed the uniform dispersion of microspheres in three-dimensional matrix of the hydrogel. The in vitro release data showed a typical biphasic release pattern. All parameters such as wound contraction, tensile strength, histopathological and biochemical parameters were observed significant (p < 0.05) in comparison to the control group. Results suggested an accelerated re-epithelialization with minimum disturbance of wound bed.
SYMPATHETIC INHIBITION OF THE LARGE INTESTINE IN HIRSCHSPRUNG'S DISEASE.

Physiologists have known for many years that lumbar sympathetic stimulation caused inhibition of motor activity in the colon together with contraction of the internal sphincter ani (1) (2). No direct application of this knowledge to the treatment of Hirschsprung's disease was however attempted until Royle observed marked improvement in the obstinate constipation of spastic paralytic patients after interrupting the lumbar sympathetic connections (3). Hunter studied the problem in the laboratory (4). Their clinical and experimental experiences that improved motor function of an inert colon followed the removal of the sympathetic influence, furnished the basis for testing the effect of a similar procedure in the treatment of congenital idiopathic dilatation of the colon. This condition had long been suspected of having a neurogenic basis (5) (6). But not until the relief of it achieved by Wade and Royle (7) through lumbar sympathetic ramisection, was there any convincing evidence that the extrinsic nervous mechanism of the bowel was etiologically involved. Besides this original case, the results of interrupting the sympathetic pathways to the colon have been recorded in six others of Hirschsprung's disease. Wade (8) operated upon four of these patients and Judd and Adson (9) reported two. We are sure that some others have been treated in this way but the results are not available as yet in the literature. In five of the seven cases the results have been eminently successful, while in two they have been unsatisfactory. The failure to obtain uniform results raises the question, in a given case of megalocolon what effect will be obtained by operative interruption of its sympathetic innervation. Further information concerning the nature
Crowd Scene Understanding with Coherent Recurrent Neural Networks

Exploring crowd dynamics is essential in understanding crowd scenes, which still remains as a challenging task due to the nonlinear characteristics and coherent spatio-temporal motion patterns in crowd behaviors. To address these issues, we present a Coherent Long Short Term Memory (cLSTM) network to capture the nonlinear crowd dynamics by learning an informative representation of crowd motions, which facilitates the critical tasks in crowd scene analysis. By describing the crowd motion patterns with a cloud of keypoint tracklets, we explore the nonlinear crowd dynamics embedded in the tracklets with a stacked LSTM model, which is further improved to capture the collective properties by introducing a coherent regularization term; and finally, we adopt an unsupervised encoder-decoder framework to learn a hidden feature for each input tracklet that embeds its inherent dynamics. With the learnt features properly harnessed, crowd scene understanding is conducted effectively in predicting the future paths of agents, estimating group states, and classifying crowd events. Extensive experiments on hundreds of public crowd videos demonstrate that our method is state-of-the-art performance by exploring the coherent spatio-temporal structures in crowd behaviors.