Miracle-dz/UniFAR-FTUs huggingface dataset:
mCD24, a glycoprotein transiently expressed by neurons, is an inhibitor of neurite outgrowth

In the immune system, mCD24, the mouse homolog of the human glycosyl phosphatidylinositol-anchored glycoprotein CD24, may play a role in cell adhesion. In the nervous system, the function of mCD24 has not been determined, but its transient expression by neurons suggests that it may be involved in axon growth in development. Here we show that retinal ganglion cells (RGCs) and dorsal root ganglion (DRG) neurons express mCD24 in the developing but not adult mouse in vivo and in DRG neurons of the injured adult peripheral nervous system (PNS). In vitro, mCD24 was expressed by immature neurons and by a subpopulation of adult DRG neurons. To analyze the possible function of mCD24 in the nervous system, we prepared rat C6 glioma cells stably transfected or retrovirally infected with mCD24 cDNA. The cells did not exhibit changes in their adhesive properties or cell division rate after transfection or infection. When mCD24-expressing cells were used as monolayer substrates for culturing RGCs and DRG neurons, neurite outgrowth was inhibited, depending on neuronal age and on the relative levels of mCD24 in the monolayer. This inhibition, however, was not dependent on the expression of mCD24 by the neurons themselves, because DRG neurons of a mouse deleted of the mCD24 gene showed the same response. These results show that mCD24 interacts in a heterophilic manner with a developmentally regulated molecule expressed by neurons, and they suggest that in vivo, mCD24 may inhibit the further extension or collateral branching of axons in late embryonic development.
Spatio-temporal requirements for transposable element piRNA-mediated silencing during Drosophila oogenesis

During Drosophila oogenesis, transposable element (TE) repression involves the Piwi-interacting RNA (piRNA) pathway which ensures genome integrity for the next generation. We developed a transgenic model to study repression of the Idefix retrotransposon in the germline. Using a candidate gene KD-approach, we identified differences in the spatio-temporal requirements of the piRNA pathway components for piRNA-mediated silencing. Some of them (Aub, Vasa, Spn-E) are necessary in very early stages of oogenesis within the germarium and appear to be less important for efficient TE silencing thereafter. Others (Piwi, Ago3, Mael) are required at all stages of oogenesis. Moreover, during early oogenesis, in the dividing cysts within the germarium, Idefix anti-sense transgenes escape host control, and this is associated with very low piwi expression. Silencing of P-element-based transgenes is also strongly weakened in these cysts. This region, termed the ‘Piwiless pocket’ or Pilp, may ensure that new TE insertions occur and are transmitted to the next generation, thereby contributing to genome dynamics. In contrast, piRNA-mediated silencing is strong in germline stem cells in which TE mobilization is tightly repressed ensuring the continued production of viable germline cysts.
Remote Area Plant Disease Detection Using Image Processing

India being an agro-based economy, farmers experince alot of problem in detecting andpreventing diseases in fauna. So there is a necessacity in detecting diseases in fauna which proves to be effective and conviennent for researchers. Relying on pure naked-eye observation to detect and classify diseases can be very unprecise and cumbersome. The color and texture features are used to recognize and classify different agriculture/horticulture produce into normal and affected regions. The combinations of features prove to be very effective in disease detection. The experimental results indicate that proposed approach significantly enhances accuracy in automatic detection of normal and affected produce. This paper presents an effective method for detection of diseases in Malus Domestica using methods like K-meanclustering, color and texture analysis. Keywords-CCM method, color & texture segmentation, K-mean clustering, Malus Domestica, nuclei segmentation
Analyzing the dynamic wavefront aberrations in the human eye

The optics of the human eye are not static in steady viewing conditions and exhibit microfluctuations. Previous methods used for analyzing dynamic changes in the eye's optics include simple Fourier-transform-based methods, which have been used in studies of the eye's accommodation response. However, dedicated tools for the analysis of dynamic wavefront aberrations have not been reported. We propose a set of signal processing tools, the combination of which uncovers aspects of the dynamics of eye's optical aberrations which were hidden from conventional analysis techniques. The methodology includes extraction of artifacts from potentially significant eye movements, filtering, optimal parametric signal modeling, and frequency and time-frequency representations. The exposition of the techniques and their advantages over traditional techniques is illustrated for real dynamic eye wavefront aberration measurements.
Function Formula Oriented Construction of Bayesian Inference Nets for Diagnosis of Cardiovascular Disease

An intelligent cardiovascular disease (CVD) diagnosis system using hemodynamic parameters (HDPs) derived from sphygmogram (SPG) signal is presented to support the emerging patient-centric healthcare models. To replicate clinical approach of diagnosis through a staged decision process, the Bayesian inference nets (BIN) are adapted. New approaches to construct a hierarchical multistage BIN using defined function formulas and a method employing fuzzy logic (FL) technology to quantify inference nodes with dynamic values of statistical parameters are proposed. The suggested methodology is validated by constructing hierarchical Bayesian fuzzy inference nets (HBFIN) to diagnose various heart pathologies from the deduced HDPs. The preliminary diagnostic results show that the proposed methodology has salient validity and effectiveness in the diagnosis of cardiovascular disease.
Excimer laser-annealed dopant segregated Schottky (ELA-DSS) Si nanowire gate-all-around (GAA) pFET with near zero effective Schottky barrier height (SBH)

We demonstrate excimer laser annealed dopant segregated Schottky (ELA-DSS) junction on gate-all-around (GAA) silicon nanowire pFETs. The metal-semiconductor junction interfacial doping is increased by two-fold with the ELA method. On silicon nanowire, the method achieves an effective Schottky barrier height (SBH) of nearly zero, improves the short channel performance and reduces the parasitic resistance of the fabricated devices, leading to an average improvement of 37% in ION as compared to the devices fabricated without laser annealing.
Night blindness of pregnancy in rural Nepal--nutritional and health risks.

BACKGROUND Night blindness (XN) is the most common clinical symptom of vitamin A deficiency among children in developing countries. Yet little is known about the aetiology or associated risks of maternal XN. Emerging evidence from South East Asia suggests that it may be more frequent than previously thought in women of reproductive age, especially during pregnancy. METHODS A population-based, case-control study was conducted to reveal the epidemiology of XN among pregnant Nepali women. Night blind cases were identified by history through a weekly community surveillance system. Controls were randomly selected from a pool of pregnant women without XN and pair-matched for gestational age of the cases. A home-based assessment was done within a week of selection, at which 7-day food frequency and morbidity histories were collected, anthropometry measured, and capillary blood drawn for serum retinol, beta-carotene and haemoglobin (Hb) estimation. RESULTS Cases and controls did not differ by age or number of previous pregnancies. However, cases were more likely to be from the lower castes, be illiterate, live in poorer quality homes, and own no land. The mean serum retinol level of cases was approximately 0.30 mumol/l lower than controls (P < 0.001), indicating a low vitamin A status of night blind pregnant women. Mean Hb level was significantly lower (by 0.7 g/dl, P < 0.004), and the risk of severe anaemia (Hb < 7.0 g/dl) higher among cases than controls (odds ratio = 3.0, 95% CI: 1.25-7.23). Cases were more under-nourished than controls reflected by lower mean weight (-2.6 kg), body mass index (-0.8), arm circumference (-0.9 cm) and triceps skinfold (-0.8 mm). Night blindness was associated with less frequent consumption of preformed vitamin A (milk products, fish and meat) and provitamin A (dark green leafy vegetables and mangoes) foods, especially in summer. Night blind women were 2-3 times more likely to report symptoms of urinary/reproductive tract infections such as lower abdominal pain, painful and burning urination, or vaginal discharge, symptoms of diarrhoea/dysentery, of pre-eclampsia or eclampsia, and of nausea, vomiting or poor appetite throughout pregnancy than controls. CONCLUSION Women who experience XN during pregnancy have a low vitamin A status, although several other risk factors appear to cluster among these women as well. Night blind women are also more likely to be anaemic, ill, and acutely under-nourished, and to be consuming a nutritionally poorer diet in pregnancy than non-night blind pregnant women. A simple history of XN can identify women at high risk during pregnancy who may require special nutritional support, antenatal care and counselling.
International Conference on Information Fusion ( FUSION ) Multisource Fusion for Land Cover Classification using Support Vector Machines *

Remote sensing data have proven to be an attractive source for extracting accurate land cover information. For a given application, information from an individual sensor may be incomplete, inconsistent, and imprecise. Additional data sources may assist in achieving a higher degree ofaccuracy. Recently, support vector machines (SVM), a non-parametric algorithm, has been proposed as an alternative for classification of remote sensing data, and the results are promising. In this paper, the use of the SVM algorithm for multisource classification has been investigated. An IRS-1C LISS III image along with NDVI and DEM data layers in the Himalayan region were fused for classification. The results illustrate a significant improvement in accuracy of classification on incorporation ofancillary data over the classification performed solely on the basis of remote sensing data.
A New Mechanism to Incorporate Network Coding Into TCP in Multi-radio Multi-channel Wireless Mesh Networks

Most of the approaches in the application of network coding either require the overhearing opportunity or have bad interaction with TCP. A new mechanism, named TCP-I2NC, is proposed in this paper to incorporate network coding into TCP in interference-free multi-radio multi-channel wireless mesh networks where there are nearly no overhearing opportunities. Multiple TCP flows are coded together and forwarded in block by hop-by-hop ACK and retransmissions in TCP-I2NC. Several encoding blocks are working simultaneously to effectively utilize available bandwidth. However the maximum of encoding blocks is adaptively adjusted according to the bandwidth, propagation delay and packet loss rate of a wireless link, and also back pressure algorithm is used to perform flow and scheduling control. The end-to-end delay is optimized so that TCP-I2NC is applicable to delay-sensitive applications. Simulations show that our mechanism both significantly improves the throughput of TCP and derives a relatively short end-to-end delay as losses increase. And the delay jitter of TCP-I2NC is also very small. TCP-I2NC also achieves complete fairness in resource allocation.
Designing anaglyphs with minimal ghosting and retinal rivalry

The anaglyph is a widely overlooked method of viewing three-dimensional images on any colored display. This is done by selectively filtering the image through colored lenses. Despite the simplicity of this system, the approach to designing anaglyph images remained largely empirical until a recent mathematical analysis by Eric Dubois. While the methods shown in the said work create good anaglyphs, they still exhibit a large amount of retinal rivalry which makes anaglyphs uncomfortable to view. This paper tackles modifications to the said approach to tackle several anaglyph issues, namely ghosting, retinal rivalry, and color reproduction, simultaneously. Subjective testing showed an improvement in viewer acceptance of images designed using the proposed method.
A Simulation Model of Cultural Consensus and Persistent Conflict

In this study we develop a highly simplified simulation of diffusion through a structured society. By testing diffusion of a single arbitrary trait through different social network structures we show that the type of social network can significantly extend the time required for a population to reach consensus. This is especially true of small-world networks where conflict may persist far longer than in other network structures. In addition, we demonstrate that with simple dynamic linking rules, a network may evolve in such a way that consensus is inhibited altogether and ideological diversity becomes entrenched. To assess simulation results and inform future versions of the model we describe results from a real-world case study in which networked actors experience persistent conflict. While results of the case study align with simulation output, they also reveal areas for substantial improvement to the model.
Similarity Thesauri and Cross-Language Retrieval

This paper describes a method for constructing a thesaurus automatically from a corpus of suitable documents, using standard information retrieval methods. The resulting thesauri can be used for user-initiated query expansion, automatic query expansion, as well as cross-language retrieval. Researchers at the Swiss Federal Institute of Technology in Zurich developed and evaluated this method in the early 90’s, after publication of Schauble and Knaus [1992].
Cancellation of OpAmp Virtual Ground Imperfections by a Negative Conductance Applied to Improve RF Receiver Linearity

High linearity CMOS radio receivers often exploit linear V-I conversion at RF, followed by passive down-mixing and an OpAmp-based Transimpedance Amplifier at baseband. Due to nonlinearity and finite gain in the OpAmp, virtual ground is imperfect, inducing distortion currents. This paper proposes a negative conductance concept to cancel such distortion currents. Through a simple intuitive analysis, the basic operation of the technique is explained. By mathematical analysis the optimum negative conductance value is derived and related to feedback theory. In- and out-of-band linearity, stability and Noise Figure are also analyzed. The technique is applied to linearize an RF receiver, and a prototype is implemented in 65 nm technology. Measurement results show an increase of in-band IIP 3 from 9 dBm to >20 dBm, and IIP2 from 51 to 61 dBm, at the cost of increasing the noise figure from 6 to 7.5 dB and <;10% power penalty. In 1 MHz bandwidth, a Spurious-Free Dynamic Range of 85 dB is achieved at <;27 mA up to 2 GHz for 1.2 V supply voltage.
Performance evaluation of MAC algorithms for real-time Ethernet communication systems

Industrial automation systems become more and more open for vertical integration using standardized information technology from the office world and access to the field level via Internet (Internet of Things and Industry 4.0). To protect such open automation systems there is a growing demand for the availability of suitable security features. However, real-time communication protocols used in automation networks typically provide no security functionalities and automation networks are vulnerable to numerous threats. In order to protect open automation systems, at least the authenticity of transferred data should be ensured. Therefore, an analysis of algorithms suitable for authenticity protection of data transferred by real-time Ethernet communication systems is presented in this paper. This includes an analysis of these algorithms and measurement results for a typical embedded system used in industrial Ethernet devices.
Sparsity Methods for Networked Control

In this presentation, we introduce sparsity methods for networked control systems and show the effectiveness of sparse control. In networked control, efficient data transmission is important since transmission delay and error can critically deteriorate the stability and performance. We will show that this problem is solved by sparse control designed by recent sparse optimization methods.
An underwater vehicle maneuvering simulation: focus on turning maneuvers

Maneuvering of an underwater vehicle was studied under the action of its dynamic control systems. The equations of motion were solved numerically in the original state without any linearization or other simplification. The underwater vehicle was assumed to be a rigid body with 6 DOF (Degrees Of Freedom) moving in calm water. To reduce the complexity of the real motion, some simplifying assumptions were applied to the hydrodynamic forces and moments. The computer code developed, using MATLAB TM7.1, can simulate versatile states of the underwater vehicle maneuvering. As an example, the turning maneuvers are demonstrated in detail. The simulation is applicable to either large manned submarines or AUVs (Autonomous Underwater Vehicles), however the sample simulations are performed for large submarines.
Adaptive logistic group Lasso method for predicting the no-reflow among the multiple types of high-dimensional variables with missing data

The prediction of no-reflow phenomenon aroused much attention, because of its independent association with increased in-hospital mortality, malignant arrhythmias, and cardiac failure. Many studies on prediction of no-reflow were carried out focusing on only few predictors. As big data era has been coming, high-dimensional predictors are available for prediction. However, as a common problem, big data analytics in healthcare from the electronic medical record (EMR) system is faced with many challenges, such as missing data processing, multiple types of variables processing and the high-dimensional data prediction. A general method based on improved weighted K-nearest neighbors and adaptive logistic group Lasso was proposed for predicting the no-reflow after cardiac surgery among the multiple types of variables with missing data. Compared with logistic regression, Lasso method, and artificial neural network method, our method has lower misclassification error rate and less complex model for no-reflow prediction, especially when predicting among multiple types of variables with missing data.
ASEV — Automatic situation assessment for event-driven video analysis

Many complex maneuvers involving aircraft, vehicles and persons are carried out at airport aprons. Manual video surveillance used for safety and security purposes is inefficient and privacy protection must be guaranteed. In this paper, we propose a system named ASEV that automatically assesses situations for airport surveillance. It combines four main components: a low-level image processing unit based on a new hardware implementation to extract features in real time, a high-level image processing unit for scene analysis, a real-time inference engine for scene understanding, and a data protection stage for log encryption. In addition, four often neglected aspects are successfully addressed: two-way communication between system and operator, power consumption, monitored people privacy and operator activity control. Extensive evaluation at a real airport shows that the proposed system improves the operator performance with sound and visual alerts based on the automatic assessment of various events.
Low Ethanol Sensitivity and Increased Ethanol Consumption in Mice Lacking Adenosine A2A Receptors

We have shown previously that the severity of handling-induced convulsions during ethanol withdrawal was reduced in A2Areceptor knock-out (A2AR−/−) mice. In the present report, we further characterize the role of adenosine A2A receptors in ethanol consumption and neurobiological responses to this drug of abuse. Male A2AR−/− mice showed increased consumption of solutions containing 6 and 20% (v/v) ethanol compared with wild-type (A2AR+/+) control mice; female A2AR−/− mice showed increased consumption of solutions containing 6 and 10% ethanol. This slightly higher ethanol consumption was also related to increased ethanol preference. In contrast, A2AR−/− mice showed normal consumption of solutions containing either sucrose or quinine. Relative to A2AR+/+ mice, A2AR−/− mice were found to be less sensitive to the sedative effect of 3.0 gm/kg ethanol, as measured by more rapid recovery from ethanol-induced loss of righting reflex, and to the hypothermic effects of 1.5, 3.0, and 4.0 gm/kg ethanol, although plasma ethanol levels did not differ significantly between the two genotypes. The selective adenosine A2A receptor antagonist ZM 241385 (4-(2-[7-amino-2-(2-furyl)[1,2,4]triazolo[2,3-a][1,3,5]triazin-5-ylamino]ethyl)phenol) (10–30 mg/kg) significantly attenuated ethanol-induced (4.0 gm/kg) hypothermia in CD1 mice. To assess whether ethanol administration would induce differential tolerance in A2AR−/− and wild-type mice, we administered ethanol (3.0 gm/kg) over 4 consecutive days and found no difference in the development of tolerance; however, female A2AR−/− mice showed a lower tolerance-acquisition rate. These data suggest that activating the A2A receptors may play a role in suppressing alcohol-drinking behavior and is associated with the sensitivity to the intoxicating effects of acute ethanol administration.
A Rearrangement Can Account for In Vitro Switching to IgG 1

During immune responses, B lymphocytes may switch from the expression of immunoglobulin M (IgM) to the expression of another isotype (e.g., IgG, IgE, IgA). In stable hybridomas and myelomas expressing a "switched" (S) isotype, DNA deletions between S# and a "downstream" S region (S region recombination) have been found. In primary B cells, studies of the molecular basis of switching have been limited by the ability to sensitively quantitate the amount of DNA deletion; such studies would be of interest because other nondeletional mechanisms (tmns-splicing, alternative processing of a long transcript) have been proposed to account for isotype switching in certain circumstances. We have applied the digestion-circularization polymerase chain reaction (DC-PCR) technique to measure the amount orS region recombination that occurs in the course of class switching in primary B lymphocytes. Resting B cells were cultured in lipopolysaccharide (LPS) and interleukin 4 (IL-4) to stimulate switching to IgG1. These cells begin to express membrane IgG1 at day 2.5 of culture and reach maximum expression by day 4.5. DNA was prepared from cultured cells and analyzed for S#-S3q rearrangement by DC-PCR. Chimeric switch regions, indicating S/z-S~I recombination, were detected in amounts that, in most cases, correlated with surface expression. Furthermore, when cells were sorted on the basis of surface IgG1 expression, a mean of at least one S#-$3,1 rearrangement per cell was seen in five out of seven experiments. In general, the IgG1 + cells obtained at 4.5 and 5.5 d of culture had close to 2 S/~-S~/1 rearrangements per cell. In IgG1cells, S#-S~/1 rearrangements were detectable, but at frequencies substantially lower that in IgG1 + cells. Thus, these results indicate that DNA deletion accompanies class switching in normal B cells stimulated with LPS and IL-4.
A Note on Quantile Coupling Inequalities and Their Applications

A relationship between the large deviation and quantile coupling is studied. We apply this relationship to the coupling of the sum of n i.i. d. symmetric random variables with a normal random variable, improving the classical quantile coupling inequalities (the key part in the celebrated KMT constructions) with a rate 1= p n for random variables with continuous distributions, or the same rate modulo constants for the general case. Applications to the asymptotic equivalence theory and nonparametric function estimation are discussed.