Miracle-dz/UniFAR-FTUs huggingface dataset:
The H1 and H2 polypeptides associate to form the asialoglycoprotein receptor in human hepatoma cells

Antibody-induced degradation and chemical cross-linking experiments have been carried out to assess the nature of the interaction between the two asialoglycoprotein-receptor polypeptides, H1 and H2, synthesized in HepG2 cells. Incubation of HepG2 cell monolayers with anti-H1 antibody caused a specific and equal loss of both H1 and H2 polypeptides. The same result was obtained with anti-H2 antibody. Control serum did not affect the level of H1 or H2 not did anti-H1 or anti-H2 antibodies affect the level of the transferrin receptor. The chemical cross-linking reagent, difluorodinitrobenzene, has been used to demonstrate that H1 can be cross-linked to H2 in HepG2 cell microsomal membranes. Dimer and trimer species with apparent molecular masses of 93 and 148 kD, respectively, were readily observed upon chemical cross-linking and some dimers and trimers were immunoreactive with both anti-H1 and anti-H2 antibodies. The putative trimer, possibly two H1 and one H2 molecules, is a minimum estimate of the true size of the asialoglycoprotein receptor in intact HepG2 cell, and it is possible that larger hetero-oligomeric forms of the receptor exist. The results of both types of experiments indicate that H1 and H2 form an oligomeric complex in HepG2 cells and thus, both polypeptides constitute the human asialoglycoprotein receptor.
Development of series elastic actuator based myoelectric knee exoskeleton for trajectory generation and load augmentation

This paper describes the development and control of a series elastic actuator based myoelectric knee exoskeleton which can be used for gait rehabilitation and load augmentation purposes. The device consists of a motorized ball screw mechanism along with a spring placed between the motor and load. In load augmentation mode, the spring strain is measured to get accurate estimate of force which can be controlled in force feedback mode for amplifying force according to user's intention. User's intention is reflected in myoelectric signal. For gait rehabilitation purpose, this device has been developed to function as a normal knee joint during walking by acquiring myoelectric signals from muscles around knee and joint trajectory information. Joint angle obtained from position sensor is combined with the gait parameters acquired from EMG and they are fed to a PID servo which has been developed to control knee angle trajectory of the exoskeleton. Functioning, control and acceptability of the exoskeleton device increases to a user as the system is run and controlled by user's own intention.
Stores and partial continuations as first-class objects in a language and its environment

ion and application are interesting, because they interact closely with curcont and fork, as will be seen below. Abstraction, Iike the semantics of integers above, simply applies the continuation to the extant store and a semantic cognate of the (syntactic)1 abstraction: Me[[func id.ezpr]]e s c p = p c (6, Xc1 .X(SI, vl). Me[[ezpr]]e[id t VI] 81 cl (~c24s2, v2). cz(s2, v2))
“Self” versus “Non-Self” Connectivity Dictates Properties of Synaptic Transmission and Plasticity

Autapses are connections between a neuron and itself. These connections are morphologically similar to “normal” synapses between two different neurons, and thus were long thought to have similar properties of synaptic transmission. However, this has not been directly tested. Here, using a micro-island culture assay in which we can define the number of interconnected cells, we directly compared synaptic transmission in excitatory autapses and in two-neuron micronetworks consisting of two excitatory neurons, in which a neuron is connected to one other neuron and to itself. We discovered that autaptic synapses are optimized for maximal transmission, and exhibited enhanced EPSC amplitude, charge, and RRP size compared to interneuronal synapses. However, autapses are deficient in several aspects of synaptic plasticity. Short-term potentiation only became apparent when a neuron was connected to another neuron. This acquisition of plasticity only required reciprocal innervation with one other neuron; micronetworks consisting of just two interconnected neurons exhibited enhanced short-term plasticity in terms of paired pulse ratio (PPR) and release probability (Pr), compared to autapses. Interestingly, when a neuron was connected to another neuron, not only interneuronal synapses, but also the autaptic synapses on itself exhibited a trend toward enhanced short-term plasticity in terms of PPR and Pr. Thus neurons can distinguish whether they are connected via “self” or “non-self” synapses and have the ability to adjust their plasticity parameters when connected to other neurons.
Aspect-Oriented Method for dependable data warehouse systems based on MDA approach

Data warehouse systems have several dependability aspects, which crosscut the whole system modules. That might cause difficulties while designing, reusing or maintaining the systems; therefore it may affect its performance. Aspect Oriented Method is a software development paradigm which supports an horizontal separation of concerns by providing mechanisms for encapsulating cross-cutting features using the aspects. In our Aspect Oriented Modeling (AOM) method, dependability attributes are modeled as aspects in Model Driven Architecture (MDA) approach then are composed with the functional model to form complete Data warehouse system. Concretely, we refine the Platform Independent Model (PIM) of aspects to Platform Specific Model (PSM). Then we weave it with the functional PSM of each Data Warehouse system layer in order to obtain an integral PSM.
OFDM versus Single Carrier towards Spectrally Efficient 100 Gb / s Transmission with Direct Detection

1  Abstract—In this paper, we show the comparison of performances of three different digital signal processing (DSP) based directly detected 100 Gb/s transmission schemes namely optical orthogonal frequency division multiplexing (DDO-OFDM), optical single carrier frequency domain equalization (DDO-SCFDE), and optical DFT-spread OFDM (DDO-DFTS). Performances of these systems are characterized with different link parameters including laser linewidth, modulation formats, RF frequency, modulator drive power, and so on. Simulation results suggest that at optimum operating conditions, receivers' sensitivities of these systems may not exhibit any significant difference with respect to each other confirming their suitability for next-generation 100 Gb/s short reach optical links.
Benefits, limitations and measures concerning the development of cooperation between higher education institutions and external entities

Cooperation between higher education institutions and external entities is a prerequisite for the success of all economic entities and society as a whole in any knowledge-based economy. The aim of the study was to identify, analyze and evaluate the benefits of, and factors limiting, cooperation between higher education institutions and external entities, and identify measures that would contribute to the development of this cooperation from the perspective of managers of public, state and private higher education institutions carrying out activities in the Czech Republic. The study shows that higher education managers consider the contribution to the development of knowledge and experience of students, academics and researchers to be the most important benefit of cooperation. From their point of view, the most significant limiting factors are the limited time availability of faculty/staff, insufficient financial resources and the administrative demands of cooperation. The development of cooperation would be most enhanced by financial support from national public sources or the EU, or through the use of contacts with graduates working for external entities.
3-D mapping of an underground mall using a tracked vehicle with four sub-tracks

The authors attempted to create a 3-D map of an underground mall and subway station using a tracked vehicle. This paper is a field report of the 3-D mapping of the Sendai subway station by the tracked vehicle in Dec. 2007. From the ticket barriers to the platform, the Sendai subway station consists of three floors. For the 3-D mapping, we developed a tracked vehicle named “Kenaf”, a small and light-weight 3-D laser scanner called TK scanner, and a robust 3-D scan matching method. Kenaf can pass through ticket barriers and climb up and down stairs, while TK scanner has a wide view angle and can measure dense 3-D shapes. During the experiment, the robot stopped at different points and collected 3-D scan data. The 3-D shapes were recorded by the TK scanner as point clouds. These 3-D point clouds were integrated into a map on the basis of odometry data on-line. The constructed map was not correct because of the lack of robot position z and the odometry error. The 3-D map was constructed by matching these 3-D point clouds off-line. To increase the robustness of the matching, we used the iterative closest point (ICP) matching method with a gravity constraint.
Posttranslational Modification and Cell Type-Specific Degradation of Varicella-Zoster Virus ORF29p

ABSTRACT The ORF29 gene of varicella-zoster virus encodes a single-stranded DNA binding protein that is predominantly nuclear during lytic infection but appears to be restricted to the cytoplasm of latently infected neurons. Following reactivation, ORF29p accumulates in the nuclei of neurons, suggesting that its confinement to the cytosol may be critical for maintaining quiescence. When autonomously expressed, ORF29p accumulates in the nuclei of fibroblasts and the cytoplasm of cells (guinea pig enteric neurons) and cell lines (U373MG) of neuronal origin. Inhibition of the 26S proteasome redirects the accumulation of ORF29p to the nucleus in cells of neuronal origin. Here, we show that ORF29p is ubiquitinated and sumoylated in 293T cells and subsequently degraded from the N terminus. Ubiquitinated ORF29p accumulates in both the nuclei and the cytoplasm of fibroblasts, but degradation products are seen primarily in the cytoplasm. Modification and degradation of ORF29p occurs in 293T, U373MG, and MeWo cells. Therefore, these processes are ubiquitous; however, the robustness of the degradation process is cell type specific. The proteasome-mediated mechanism of nuclear exclusion in U373MG cells is an active process that is not specific for the endogenous ORF29p nuclear localization signal but can be saturated by protein stabilization or overexpression, which leads to nuclear accumulation of ORF29p. The evidence for ORF29p ubiquitination and previous data regarding the effect of proteasome inhibitors on the abundance and distribution of ORF29p implicate the 26S proteasome in influencing the protein's cell type-specific localization.
Distributed image processing using Hadoop and HIPI

In the present era, huge amount of data is being produced every single day. A significant portion of this massive data or big data is contributed by images. Besides the amount of data, the size and resolution of individual images is also increasing at a very fast pace, leading to more and more complex image processing algorithms which in turn pose great demand to computation power. This paper provides a solution to one such image processing application which analyzes the image-processing kernels from an industrial application: Organic-Light-Emitting-Diode (oled) Printing for OLED center detection. The application uses Hadoop and Hadoop Image Processing Interface HIPI for parallelizing the processing. Hadoop provides the parallel processing paradigm, which when used along with HIPI can provide significant performance improvements for processing images.
Dendritic cell vaccination with a toll-like receptor agonist derived from mycobacteria enhances anti-tumor immunity

Dendritic cell (DC)-based vaccines are considered useful in cancer immunotherapy, and the interaction of DC and adjuvants is important in the design of the next generation vaccines. In this study, whether DC combined with Rv2299c derived from mycobacteria could improve anti-tumor immune responses in a colon cancer mouse model was evaluated. MC38 cell lines were injected subcutaneously to establish colon-cancer-bearing mice and the following four groups were evaluated: PBS control, tumor antigen (TA) loaded-DC, Rv2299c, and a combination of TA-loaded-DC and Rv2299c. The combination treatment with TA-loaded-DC and Rv2299c exhibited greater inhibition of tumor growth compared to other groups. These effects were associated with the reduction of suppressor cells, such as myeloid-derived suppressor cells and regulatory T cells, and the induction of effector cells, such as CD4+ T cells and CD8+ T cells, in spleen, and with the activation of cytotoxic T Lymphocytes and NK cells. These results suggest that TA-loaded-DC vaccination with Rv2299c derived from mycobacteria enhanced anti-tumor immunity in a mouse colon cancer model by inhibiting the generation of immune-suppressive cells and recovering numbers of effector cells, and demonstrated superior polarization of the Th1/Th2 balance in favor of the Th1 immune response.
From Vision to Realtime Motion Control for the RoboCup Domain

In this paper, an overview is given of how the path from vision to motion has been developed in the TechUnited team. The vision module includes: (i) color calibration using a union of convex hulls to select an area in the 3D-colorspace, (ii) automatic calibration of the mapping from the camera image to the field via a genetic algorithm, (iii) self localization based on field lines. The output of the vision module is used by the motion module which includes: (i) vision and encoder sensor fusion by monitoring the drift caused by odometry, (ii) generating a motion path complying with the robot's limitations to prevent wheel slippage, (iii) collocated motion control. In contrast to closing the loop on vision, our approach uses wheel encoders as the basis for motion control, which has several advantages such as less delay due to a higher sampling frequency. Vision is only used to compensate for slow drift caused by slip in the wheel-surface contact.
The Hepatitis C Virus Modulates Insulin Signaling Pathway In Vitro Promoting Insulin Resistance

Insulin is critical for controlling energy functions including glucose and lipid metabolism. Insulin resistance seems to interact with hepatitis C promoting fibrosis progression and impairing sustained virological response to peginterferon and ribavirin. The main aim was to elucidate the direct effect of hepatitis C virus (HCV) infection on insulin signaling both in vitro analyzing gene expression and protein abundance. Huh7.5 cells and JFH-1 viral particles were used for in vitro studies. Experiments were conducted by triplicate in control cells and infected cells. Genes and proteins involved in insulin signaling pathway were modified by HCV infection. Moreover, metformin treatment increased gene expression of PI3K, IRS1, MAP3K, AKT and PTEN more than >1.5 fold. PTP1B, encoding a tyrosin phosphatase, was found highly induced (>3 fold) in infected cells treated with metformin. However, PTP1B protein expression was reduced in metformin treated cells after JFH1 infection. Other proteins related to insulin pathway like Akt, PTEN and phosphorylated MTOR were also found down-regulated. Viral replication was inhibited in vitro by metformin. A strong effect of HCV infection on insulin pathway-related gene and protein expression was found in vitro. These results could lead to the identification of new therapeutic targets in HCV infection and its co-morbidities.
Two algorithms for the discrete time approximation of Markovian backward stochastic differential equations under local conditions

Two discretizations of a novel class of Markovian backward stochastic differential equations (BSDEs) are studied. The first is the classical Euler scheme which approximates a projection of the processes $Z$, and the second a novel scheme based on Malliavin weights which approximates the mariginals of the process $Z$ directly.Extending the representation theorem of Ma and Zhang leads to advanced a priori estimates and stability results for this class of BSDEs.These estimates are then used to obtain competitive convergence rates for both schemes with respect to the number of points in the time-grid.The class of BSDEs considered includes Lipschitz BSDEs with fractionally smooth terminal condition as well as quadratic BSDEs with bounded, H\"older continuous terminal condition.
Estimation with non-ideal training information

We consider the problem of channel estimation when non-ideal training information (pilots) is available such as in Turbo equalization, where this information are probabilities about the transmitted symbols of varying reliability. We study how these probabilities can be incorporated into common estimation algorithms by observing the estimation error statistics. We consider the two cases that the probabilities are mapped to a hardor soft-estimate of the transmitted symbol. It turns out that neither of the two estimates yields always better estimation error variances. However, the channel estimator becomes biased with hard-estimates and we conclude that for the two estimations algorithms analyzed in this paper, soft-estimates are the better choice.
Rapid onset asthma: a severe but uncommon manifestation

BACKGROUND Studies of asthma death and severe life threatening asthma (SLTA) include reports of patients who had rapid onset asthma. A study was undertaken to determine the relative frequency of rapid (<6 hours duration) and slow (⩾6 hours) onset attacks in patients admitted to hospital with acute severe asthma, and to establish whether those with rapid onset asthma differ in terms of risk factors for asthma morbidity and mortality such as indices of asthma severity/control, socioeconomic factors, health care, and psychological factors. METHODS A cross sectional study was performed on 316 patients aged 15–49 years admitted with acute severe asthma and interviewed within 24–48 hours of admission. RESULTS Patients underestimated the duration of the index attack. Only 27 (8.5%) were classified as rapid onset. There were more men in the rapid onset group than in the slow onset group (52% versus 26%), and there was evidence of socioeconomic advantage in the patients with rapid onset attacks. The rapid onset group had more previous episodes of SLTA and were more likely to present with SLTA, but there was no difference in length of stay in hospital. The rapid onset group were less likely to have presented to a GP during the index attack and were more likely to have used ambulance services. There was no difference between the groups in any psychological or health care measure. CONCLUSIONS Rapid onset attacks are an important but uncommon manifestation of asthma that are more likely to present with SLTA in patients who are more likely to have had previous SLTA. Male subjects are at increased risk of rapid onset attacks, and socioeconomic disadvantage, deficiencies in health care (ongoing and acute), and psychological factors are no more common in these patients than in those with attacks of slow onset. These data are consistent with the hypothesis that there is a small proportion of patients with rapid onset severe asthma who do not have the usual risk factors associated with asthma morbidity or mortality, and thus require different management strategies.
An Analysis on Sensor Locations of the Human Body for Wearable Fall Detection Devices: Principles and Practice

Wearable devices for fall detection have received attention in academia and industry, because falls are very dangerous, especially for elderly people, and if immediate aid is not provided, it may result in death. However, some predictive devices are not easily worn by elderly people. In this work, a huge dataset, including 2520 tests, is employed to determine the best sensor placement location on the body and to reduce the number of sensor nodes for device ergonomics. During the tests, the volunteer’s movements are recorded with six groups of sensors each with a triaxial (accelerometer, gyroscope and magnetometer) sensor, which is placed tightly on different parts of the body with special straps: head, chest, waist, right-wrist, right-thigh and right-ankle. The accuracy of individual sensor groups with their location is investigated with six machine learning techniques, namely the k-nearest neighbor (k-NN) classifier, Bayesian decision making (BDM), support vector machines (SVM), least squares method (LSM), dynamic time warping (DTW) and artificial neural networks (ANNs). Each technique is applied to single, double, triple, quadruple, quintuple and sextuple sensor configurations. These configurations create 63 different combinations, and for six machine learning techniques, a total of 63 × 6 = 378 combinations is investigated. As a result, the waist region is found to be the most suitable location for sensor placement on the body with 99.96% fall detection sensitivity by using the k-NN classifier, whereas the best sensitivity achieved by the wrist sensor is 97.37%, despite this location being highly preferred for today’s wearable applications.
Sequential Active Appearance Model Based on Online Instance Learning

A hybrid active appearance model (AAM) called sequential AAM (SAAM) based on online instance learning is presented. The subspace of the subject-specific AAM component is initially learned with sequential registration results of first frames, and is periodically updated through incremental principal component analysis and online instance fitting process. A drift correction component of the AAM is also updated during tracking by selecting previous ‘good fitting’ frame as a reference image. With the model, facial features can be tracked in a video given theirs locations in the first frame and no other information. Experiments show improved fitting accuracy and computation cost compared with other state-of-the-art AAM.
A multilayer feedforward network for model estimation from range data

A novel neural architecture aimed to estimate superquadrics parameters form range data is presented. The network topology is designed to model and compute the inside-outside function of an undeformed superquadric in whatever attitude, starting from the (x,y,z) data triples. The network has been trained using backpropagation, and the weights arrangement, after training, represents a robust estimate of the superquadric parameters. The architectural approach is general, it can be extended to other geometric primitives for part-based object recognition, and performs faster than classical model fitting techniques. Detailed explanation of the theoretical approach, along with some experiments with real data, are reported.
Performance tradeoffs in the VLSI implementation of the sphere decoding algorithm

Sphere decoding (SD) allows the high-dimensional MIMO maximum likelihood detection problem to be solved with significantly lower complexity than other methods. The SD algorithm has, however, mostly only been analyzed with DSP implementations in mind. We show that VLSI implementations call for new performance metrics, analyze the resulting implementation tradeoffs for the decoding of complex signal constellations, and develop design guidelines and a generic architecture. When using the /spl lscr/ /sup /spl infin//-norm for the sphere constraint instead of the /spl lscr/ /sup 2/-norm, significant reductions in circuit complexity and improvements in tree pruning efficiency are possible at a minimum performance penalty. As a proof of concept, a high performance ASIC implementation is presented.