Miracle-dz/UniFAR-FTUs huggingface dataset:
Hyaluronan binding function of CD44 is transiently activated on T cells during an in vivo immune response

Though CD44 functions as a cell surface receptor for hyaluronan (HA) in some cell lines, most normal hematopoietic cells expressing CD44 do not bind HA. Certain CD44-specific monoclonal antibodies (mAbs) can rapidly induce CD44-mediated HA binding in normal murine T cells. This observation suggests that in vivo mechanisms may exist for activating the HA receptor function of CD44 on normal T cells. Here, it is shown that up to one third of splenic T cells are capable of CD44-mediated binding of fluorescein-conjugated HA (Fl-HA) during an in vivo allogeneic response. HA binding activity peaks at 7-8 d postinjection and declines rapidly. These rapid kinetics could be the result of transient activation of CD44 function and/or differentiation or expansion of short-lived population(s) that have constitutive HA- binding function. Both CD4 and CD8 T cells are included in the HA binding population which is strongly CD44 positive. After separation of HA-binding cells from nonbinding cells by cell sorting, it is shown that almost all cytotoxic effector cells are found in the HA-binding population. However, there is no evidence that CD44-mediated HA recognition is directly involved in the killing of target cells, since cytotoxicity could not be inhibited by CD44-specific mAbs that inhibit HA binding or by soluble HA. PCR amplification of cDNA reverse transcribed from RNA of sorted HA-binding cells indicated no evidence for CD44 isoforms other than the standard (hematopoietic) form. Though CD44 expression is known to be elevated upon T cell activation, and, as shown here, HA-binding function is induced in a portion of CD44- expressing T cells including cytotoxic effector cells, the role of CD44 and HA-recognition in immune responses is not known.
Reactive Oxygen Species in Unstimulated Hemocytes of the Pacific Oyster Crassostrea gigas: A Mitochondrial Involvement

The Pacific oyster Crassostrea gigas is a sessile bivalve mollusc whose homeostasis relies, at least partially, upon cells circulating in hemolymph and referred to as hemocytes. Oyster’s hemocytes have been reported to produce reactive oxygen species (ROS), even in absence of stimulation. Although ROS production in bivalve molluscs is mostly studied for its defence involvement, ROS may also be involved in cellular and tissue homeostasis. ROS sources have not yet been described in oyster hemocytes. The objective of the present work was to characterize the ROS sources in unstimulated hemocytes. We studied the effects of chemical inhibitors on the ROS production and the mitochondrial membrane potential (Δψm) of hemocytes. First, this work confirmed the specificity of JC-10 probe to measure Δψm in oyster hemocytes, without being affected by ΔpH, as reported in mammalian cells. Second, results show that ROS production in unstimulated hemocytes does not originate from cytoplasmic NADPH-oxidase, nitric oxide synthase or myeloperoxidase, but from mitochondria. In contrast to mammalian cells, incubation of hemocytes with rotenone (complex I inhibitor) had no effect on ROS production. Incubation with antimycin A (complex III inhibitor) resulted in a dose-dependent ROS production decrease while an over-production is usually reported in vertebrates. In hemocytes of C. gigas, the production of ROS seems similarly dependent on both Δψm and ΔpH. These findings point out differences between mammalian models and bivalve cells, which warrant further investigation about the fine characterization of the electron transfer chain and the respective involvement of mitochondrial complexes in ROS production in hemocytes of bivalve molluscs.
Fast Sampling Plane Filtering , Polygon Construction and Merging from Depth Images

Recently, the availability of low cost depth cameras has provided 3D sensing capabilities for mobile robots in the form of dense 3D point clouds, usable for applications like 3D mapping and reconstruction, shape analysis, pose tracking and object recognition. For all the aforementioned applications, processing the raw 3D point cloud in real time and at full frame rates may be infeasible due to the sheer volume of data. Hence, a natural choice is to extract geometric features from the point cloud, and process these features instead of the raw point clouds. The task of geometric feature extraction itself is challenging due to noisy sensing, geometric outliers and real-time constraints. We introduce the Fast Sampling Plane Filtering (FSPF) algorithm to reduce the volume of the 3D point cloud by sampling points from the depth image, and classifying local grouped sets of points using Random Sample Consensus (RANSAC) as belonging to planes in 3D (called the “plane filtered” points) or points that do not correspond to planes (the “outlier” points). The plane filtered points are then converted to a set of convex polygons in 3D which represent the planes detected in the scene. The detected convex polygons are then merged across successive depth images to generate a set of scene polygons. The FSPF and polygon merging algorithms run in real time at full camera frame rates with low CPU requirements: In a real world indoor environment scene, FSPF takes on average 1.39 ms to process a single 640 × 480 depth image, producing 2004 plane filtered 3D points and 70 polygons(average). The polygon merging algorithm takes 1.12 ms to merge the latest frame with the history of obervations. Thus, the algorithms are capable of processing depth images at about 400 frames per second on average. We provide experimental results demonstrating the computational efficiency of the FSPF algorithm, and include results from different indoor scenes.
Diversity and Multiplexing Tradeoff of Spatial Multiplexing MIMO Systems With CSI

Following the seminal work of Zheng and Tse, this paper investigates the fundamental diversity and multiplexing tradeoff of multiple-input-multiple-output (MIMO) systems in which knowledge of the channel state at both sides of the link is employed to transmit independent data streams through the channel eigenmodes. First, the fundamental diversity and multiplexing tradeoff of each of the individual substreams is obtained and this result is then used to derive a tradeoff optimal scheme for rate allocation along channel eigenmodes. The tradeoff of spatial multiplexing is finally compared to the fundamental tradeoff of the MIMO channel and to the one of both space only codes and V-BLAST which do not require channel state information (CSI) at the transmit side.
Extending Karger's randomized min-cut Algorithm for a Synchronous Distributed setting

A min-cut that seperates vertices s and t in a network is an edge set of minimum weight whose removal will disconnect s and t. This problem is the dual of the well known s-t max-flow problem. Several algorithms for the min-cut problem are based on max-flow computation although the fastest known min-cut algorithms are not flow based. The well known Karger's randomized algorithm for min-cut is a non-flow based method for solving the (global) min-cut problem of finding the min s-t cut over all pair of vertices s,t in a weighted undirected graph. This paper presents an adaptation of Karger's algorithm for a synchronous distributed setting where each node is allowed to perform only local computations. The paper essentially addresses the technicalities involved in circumventing the limitations imposed by a distributed setting to the working of Karger's algorithm. While the correctness proof follows directly from Karger's algorithm, the complexity analysis differs significantly. The algorithm achieves the same probability of success as the original algorithm with O(mn^{2}) message complexity and O(n^{2}) time complexity, where n and m denote the number of vertices and edges in the graph.
Visible and near-infrared multispectral analysis of rocks at Meridiani Planum, Mars, by the Mars Exploration Rover Opportunity

Multispectral measurements in the visible and near infrared of rocks at Meridiani Planum by the Mars Exploration Rover Opportunity's Pancam are described. The Pancam multispectral data show that the outcrops of the Burns formation consist of two main spectral units which in stretched 673, 535, 432 nm color composites appear buff- and purple-colored. These units are referred to as the HFS and LFS spectral units based on higher and lower values of 482 to 535 nm slope. Spectral characteristics are consistent with the LFS outcrop consisting of less oxidized, and the HFS outcrop consisting of more oxidized, iron-bearing minerals. The LFS surfaces are not as common and appear, primarily, at the distal ends of outcrop layers and on steep, more massive surfaces, locations that are subject to greater eolian erosion. Consequently, the HFS surfaces are interpreted as a weathering rind. Further inherent spectral differences between layers and between different outcrop map units, both untouched and patches abraded by the rover's Rock Abrasion Tool, are also described. Comparisons of the spectral parameters of the Meridiani outcrop with a set of laboratory reflectance measurements of Fe^(3+)–bearing minerals show that the field of outcrop measurements plots near the fields of hematite, ferrihydrite, poorly crystalline goethite, and schwertmannite. Rind and fracture fill materials, observed intermittently at outcrop exposures, are intermediate in their spectral character between both the HFS and LFS spectral classes and other, less oxidized, surface materials (basaltic sands, spherules, and cobbles).
Evaluation of anomaly-based IDS for mobile devices using machine learning classifiers

Mobile devices have evolved and experienced an immense popularity over the last few years. This growth however has exposed mobile devices to an increasing number of security threats. Despite the variety of peripheral protection mechanisms described in the literature, authentication and access control cannot provide integral protection against intrusions. Thus, a need for more intelligent and sophisticated security controls such as intrusion detection systems (IDSs) is necessary. Whilst much work has been devoted to mobile device IDSs, research on anomaly-based or behaviour-based IDS for such devices has been limited leaving several problems unsolved. Motivated by this fact, in this paper, we focus on anomaly-based IDS for modern mobile devices. A dataset consisting of iPhone users data logs has been created, and various classification and validation methods have been evaluated to assess their effectiveness in detecting misuses. Specifically, the experimental procedure includes and cross-evaluates four machine learning algorithms (i.e. Bayesian networks, radial basis function, K-nearest neighbours and random Forest), which classify the behaviour of the end-user in terms of telephone calls, SMS and Web browsing history. In order to detect illegitimate use of service by a potential malware or a thief, the experimental procedure examines the aforementioned services independently as well as in combination in a multimodal fashion. The results are very promising showing the ability of at least one classifier to detect intrusions with a high true positive rate of 99.8%. Copyright © 2011 John Wiley & Sons, Ltd.
Commentary : Progress , Issues , and Implications of Prodromal Research : An Inside View

This issue of the Schizophrenia Bulletin focuses around research in the prodromal phase of severe mental illness, largely schizophrenia. The years since the last Bulletin issue on early detection and intervention have witnessed success at identifying the prodrome prospectively, positive initial data about treating prodromal symptoms and delaying psychosis onset, and hopeful data about elucidating the pathophysiology of psychosis through the prodrome. In this overview I will comment on some of the opportunities and challenges generated by this new line of research. Themes include the recruitment of prodromal subjects, characteristics of prodromal samples thus far collected, the process of conversion to psychosis in these samples, minimizing false positive prodromal subjects, dosing of drug treatments in prodromal clinical trials, treatment practice implications of prodromal research, defining conversion to psychosis prospectively, and screening, assessing, and naming the prodrome. It is concluded that prodromal research holds much promise but will require the formal collaboration of many investigators and the availability of resources for sustained efforts to recruit what amounts to an incidence sample.
JaceP2P: an Environment for Asynchronous Computations on Peer-to-Peer Networks

Using peer-to-peer (P2P) networks is a way to federate a large amount of processors in order to solve large scale scientific problems. Those networks are decentralized, highly dynamic and composed of heterogeneous machines. The goals of our work is to compute large scale scientific iterative applications on P2P networks. We propose JaceP2P, a multi-threaded Java based library designed to build asynchronous parallel iterative applications. Using this library, it is possible to run such applications on a set of dynamic and heterogeneous machines organized in a decentralized and P2P fashion
Models and effects of different updating and sampling concepts to the control of grid-connected PWM converters — A study based on discrete time domain analysis

PI-based current control of voltage source pulsewidth-modulation (PWM) converters with L- and LCL-filters is addressed. The design and analysis of these systems require proper system modeling. Computational and sampling delays are most important in this context. Three widely used PWM and sampling concepts are considered: single-update PWM with sampling at the start of the switching period, single-update PWM with sampling in the middle of the switching period, and double-update PWM with updating and sampling twice per switching period. For each, the resulting delay is accurately modeled. Moreover, this paper presents a design method, in all three cases, of a PI-based current-control using discrete-time analysis. The derived models are analyzed by root-locus and step response analysis and thoroughly verified by measurements. Additionally, the impact of updating and sampling strategy on an LCL filter system with different characteristic resonance frequencies is analyzed.
Nanoporous Anodic Alumina Platforms: Engineered Surface Chemistry and Structure for Optical Sensing Applications

Electrochemical anodization of pure aluminum enables the growth of highly ordered nanoporous anodic alumina (NAA) structures. This has made NAA one of the most popular nanomaterials with applications including molecular separation, catalysis, photonics, optoelectronics, sensing, drug delivery, and template synthesis. Over the past decades, the ability to engineer the structure and surface chemistry of NAA and its optical properties has led to the establishment of distinctive photonic structures that can be explored for developing low-cost, portable, rapid-response and highly sensitive sensing devices in combination with surface plasmon resonance (SPR) and reflective interference spectroscopy (RIfS) techniques. This review article highlights the recent advances on fabrication, surface modification and structural engineering of NAA and its application and performance as a platform for SPR- and RIfS-based sensing and biosensing devices.
The Improvement of DS Evidence Theory and Its Application in IR/MMW Target Recognition

ATR system has a broad application prospect in the military field, especially in the field of modern defense technology. When paradoxes are in existence in ATR system due to adverse battlefield environment, integration cannot be effectively and reliably carried out only by traditional DS evidence theory. In this paper, a modified DS evidence theory is presented and applied in IR/MMW target recognition system. The improvement of DS evidence theory is realized by three parts: the introduction of sensor priority and evidence credibility to realize the discount processing of evidences, the modification of DS combination rule to enhance the accuracy of synthesis results, and the compound decision-making rule. The application of the modified algorithm in IR/MMW system is designed to deal with paradoxes, improve the target recognition rate, and ensure the reliability of target recognition system. Experiments are given to illustrate that the introduction of the modified DS evidence theory in IR/MMW system is better able to realize satisfactory target recognition performance through multisensor information fusion than any single-mode system.
Home-based personalized cognitive training in MS patients: a study of adherence and cognitive performance.

OBJECTIVES To explore unprompted adherence to a personalized, home-based, computerized cognitive training program in patients with multiple sclerosis (MS), and to examine the impact of training on cognitive performance. METHODS Participants were assigned to a training (n=59) or a control group (n=48). Those in the training group were instructed to train three times a week for 12 weeks. The control group received no training. All participants were evaluated with a Neuropsychological Examination (N-CPC) at baseline and at the end of the study. RESULTS In the training group, 42 (71.2%) participants adhered to the training schedule and 22 (37.3%) completed the entire training regimen. In the control group, 24 (50.0%) participants agreed to be retested on the N-CPC. The training group showed a significant improvement over that shown by the control group in three memory-based cognitive abilities (general memory, visual working memory and verbal working memory). Post-hoc exploration of data from the N-CPC showed that cognitive training was also associated with increased naming speed, speed of information recall, focused attention and visuo-motor vigilance. CONCLUSIONS The appreciable rates of adherence and cognitive improvements observed indicate that personalized cognitive training is a practical and valuable tool to improve cognitive skills and encourage neuronal plasticity in patients with MS.
The Controversial Role of Food Allergy in Infantile Colic: Evidence and Clinical Management

Food allergies (FAs) are an increasing problem in Western countries, affecting up to 10% of young children. FAs are frequently associated with gastrointestinal manifestations. The role of FAs as a potential causative factor for infantile colic (IC) is still controversial. We report the most recent evidence on the pathogenesis, clinical and diagnostic aspects of FA-induced infantile colic (IC) and suggest a stepwise diagnostic approach. We selected articles on clinical and immunologic features, pathogenesis and management of FAs and IC from of 1981 to 2015. Original and review articles were identified through selective searches performed on PubMed, using the following terms: colic, infantile colic, food allergy and infantile colic, infantile colic treatment. The possible relationship between FAs and IC derives from the presence of dysmotility with visceral hypersensitivity and dysbiosis, demonstrated in both conditions, and the clinical response to dietary interventions. Unfortunately, the design of the studies, poor characterization of atopy and different dietary approaches limit the understanding of the importance of FAs in subjects with IC. The role of FAs in IC subjects without other symptoms of atopy remains controversial. However, where there is a suspicion of FAs, a short trial with an extensively hydrolyzed cow’s proteins formula or, if breast fed, with maternal elimination diet may be considered a reasonable option.
Music Therapy in Hospice and Palliative Care: a Review of the Empirical Data

Although music therapy is an established allied health profession and is used with increasing frequency in the treatment of those with a terminal illness, there is a real dearth of empirical research literature supporting the use of music therapy in end-of-life care. This article reviews the empirical studies found in the literature and documents the emergence of an evidenced-based approach to the use of music therapy in hospice and palliative care. A total of 11 studies are reviewed; of these, six show significant differences supporting the use of music therapy in this area. Dependent variables positively affected by music therapy include pain, physical comfort, fatigue and energy, anxiety and relaxation, time and duration of treatment, mood, spirituality and quality of life. Guidelines for future research are considered, and variables that need to be controlled are presented. The need to create an evidence-based approach to hospice and palliative care music therapy is articulated, and future researchers are empowered to continue to conduct investigations among this population.
Collapsin Response Mediator Protein 4a (CRMP4a) Is Upregulated in Motoneurons of Mutant SOD1 Mice and Can Trigger Motoneuron Axonal Degeneration and Cell Death

Embryonic motoneurons from mutant SOD1 (mSOD1) mouse models of amyotrophic lateral sclerosis (ALS), but not wild-type motoneurons, can be triggered to die by exposure to nitric oxide (NO), leading to activation of a motoneuron-specific signaling pathway downstream of the death receptor Fas/CD95. To identify effectors of mSOD1-dependent cell death, we performed a proteomic analysis. Treatment of cultured mSOD1 motoneurons with NO led to a 2.5-fold increase in levels of collapsin response mediator protein 4a (CRMP4a). In vivo, the percentage of mSOD1 lumbar motoneurons expressing CRMP4 in mSOD1 mice increased progressively from presymptomatic to early-onset stages, reaching a maximum of 25%. Forced adeno-associated virus (AAV)-mediated expression of CRMP4a in wild-type motoneurons in vitro triggered a process of axonal degeneration and cell death affecting 60% of motoneurons, whereas silencing of CRMP4a in mSOD1 motoneurons protected them from NO-induced death. In vivo, AAV-mediated overexpression of CRMP4a but not CRMP2 led to the death of 30% of the lumbar motoneurons and an 18% increase in denervation of neuromuscular junctions in the gastrocnemius muscle. Our data identify CRMP4a as a potential early effector in the neurodegenerative process in ALS.