Miracle-dz/UniFAR-FTUs huggingface dataset:
Self-assembled or mixed peptide amphiphile micelles from Herpes simplex virus glycoproteins as potential immunomodulatory treatment

The use of micelle aggregates formed from peptide amphiphiles (PAs) as potential synthetic self-adjuvant vaccines to treat Herpes simplex virus (HSV) infection are reported here. The PAs were based on epitopes gB409–505 and gD301–309, selected from HSV envelope glycoprotein B (gB) and glycoprotein D (gD), that had their N-terminus modified with hydrophobic moieties containing two C18 hydrocarbon chains. Pure and mixed micelles of gB and/or gD peptide epitopes were easily prepared after starting with the synthesis of corresponding PAs by solid phase methods. Structural characterization of the aggregates confirmed that they were sufficiently stable and compatible with in vivo use: critical micelle concentration values around 4.0 ⋅ 10−7 mol ⋅ Kg−1; hydrodynamic radii (RH) between 50–80 nm, and a zeta potential (ζ) around − 40 mV were found for all aggregates. The in vitro results indicate that both peptide epitopes and micelles, at 10 μM, triggered U937 and RAW 264.7 cells to release appreciable levels of cytokines. In particular, interleukin (IL)-23-, IL-6-, IL-8- or macrophage inflammatory protein (MIP)-2-, and tumor necrosis factor (TNF)-α-release increased considerably when cells were treated with the gB-micelles or gD-micelles compared with the production of the same cytokines when the stimulus was the single gB or gD peptide.
Synergistic Antitumor Effects of Combination Immunotherapy with Recombinant Interleukin-2 and a Recombinant Hybrid a-Interferon in the Treatment of Established Murine Hepatic MÃ © tastases

\Ve investigated the antitumor effects of combined immunotherapy with recombinant human interleukin-2 (rhIL-2) and the recombinant human interferon-a (rhIFN-a) A/D hybrid in the treatment of established single or multiple murine hepatic mÃ©tastases. Mice bearing either weakly immunogenic MCA-106 or nonimmunogenic MCA-102 were treated with rhIL-2 alone, rhIFN-a alone, or. the combination of lymphokines. Ther apy was initiated on Day 3 or 10 and continued for 3-4 consecutive days. In the treatment of 3and 10-day multiple MCA-106 liver mÃ©tastases, significant reductions in the number of mÃ©tastases, often more than 90%, were observed with the combination of rhIL-2 and rhIFN-a at doses of each lymphokine which had no effect when given alone. This decrease in the number of mÃ©tastasesresulted in a survival benefit that was seen in the combination therapy groups in a dose-dependent manner. Similarly, substantial reductions in tumor weight were seen when the combination of rlil I . -2 and rhIFN-a was administered to mice with single large hepatic mÃ©tastases. The decreases in both single and multiple metastatic tumor deposits by the combination of lymphokines were more than that pre dicted by the additive effect of each treatment alone. With the nonim munogenic tumor, MCA-102, however, no benefit was derived from the addition of rhIFN-a to rhIL-2 therapy. Immunotherapy with recombinant murine interferon-f and rhIL-2 was directly compared to therapy with rhl 1-2 and rhIFN-a. The combination of rhIL-2 and rhIFN-a again was found to be effective while recombinant murine interferon--/ added toxicity but no therapeutic benefit to immunotherapy with rhIL-2 alone. The synergy between rhIL-2 and rhIFN-a was shown to be dependent on the host's intact immune system since mice immunosuppressed by sublethal irradiation prior to inoculation of tumor did not respond to the combined treatment. Possible mechanisms of the in vivo synergy between rhIL-2 and rhlFN-or are discussed.
Optimal Sensor Velocity Configuration for TDOA-FDOA Geolocation

This paper establishes the velocity orientation requirements for dual or multiple mobile sensors to achieve optimal localization of a stationary emitter, based on TDOA and FDOA measurements. In one approach, optimal velocities are obtained by maximizing the determinant of the Fisher Information Matrix (FIM). The other approach calls for minimizing the trace of the FIM inverse. The paper shows that for a given source-sensor position geometry, two opposite optimal sensor velocity configurations are possible. One way to apply the results of this paper is to deploy sensors onboard highly maneuvering platforms, which are able to rapidly align the platform velocities with those computed by one of the optimization approaches. This usually brings a significant increase in emitter localization accuracy even if the initial sensor-source position geometry is poor. A number of computer simulations are given in the paper, which confirms the paper's theoretical findings.
Pengaruh Kecerdasan Emosional, Perilaku Belajar, Dan Minat Belajar Terhadap Tingkat Pemahaman Akuntansi. (Studi Empiris Pada Mahasiswa Akuntansi Fakultas Ekonomika Dan Bisnis UNTAG Semarang)

The research aims to examine the influence of Emotional Intelligence, Learning Behavior and the Learning Intention toward Accounting Understanding Level.This study uses primary data to provide the questions in the form of a questionnaire that measured using a Likert scale. The population in this study is a Accounting Students, Economics And Business Faculty UNTAG Semarang in 2015, totally 372 students. While the sample totaled 132 students. Samples were selected using purposive sampling method that is by sampling using specific criteria.The statistical method used to test the hypothesis is a Multiple Linear Regression Analysis.The results of this study showed that Emotional Intelligence, Learning behavior and Learning Intention had significant and positive effect on the Accounting Understanding Level Accounting Students, Economics And Business Faculty UNTAG Semarang. Keywords : Emotional Intelligence, Learning behavior, Learning Intention, Accounting Understanding Level.Pengaruh Kecerdasan Emosional, Perilaku Belajar, Dan Minat Belajar Terhadap Tingkat Pemahaman Akuntansi. (Studi Empiris Pada Mahasiswa Akuntansi Fakultas Ekonomika Dan Bisnis UNTAG Semarang)
Absence of significant cross-correlation between WMAP and SDSS

Aims. Several authors have claimed to detect a significant cross-c orrelation between microwave WMAP anisotropies and the SDSS galaxy distribution. We repeat these analyses to determine the different cross-correlation uncertainties caused by re-sampl ing errors and field-to-field fluctuations. The first type of error co ncerns overlapping sky regions, while the second type concerns nonoverlapping sky regions. Methods. To measure the re-sampling errors, we use bootstrap and jack-knife techniques. For the field-to-field fluctuations, we us e three methods: 1) evaluation of the dispersion in the cross- correlation when correlating separated regions of WMAP with the original region of SDSS; 2) use of mock Monte Carlo WMAP maps; 3) a new method (developed in this article), which measures the error as a function of the integral of the product of the self-correla tions for each map. Results. The average cross-correlation for b > 30 deg. is significantly stronger than the re-sampling error s—both the jack-knife and bootstrap techniques provide similar results—but it is of t he order of the field-to-field fluctuations. This is confirmed b y the crosscorrelation between anisotropies and galaxies in more than the half of the sample being null within re-sampling errors. Conclusions. Re-sampling methods underestimate the errors. Field-to-fi eld fluctuations dominate the detected signals. The ratio of signal to re-sampling errors is larger than unity in a way tha t strongly depends on the selected sky region. We therefore conclude that there is no evidence yet of a significant detection of the inte grated Sachs-Wolfe (ISW) effect. Hence, the value of �≈ 0.8 obtained by the authors who assumed they were observing the ISW effect would appear to have originated from noise analysis.
Survey of Cherry necrotic rusty mottle virus and Cherry green ring mottle virus incidence in Korea by Duplex RT-PCR

The incidence of Cherry necrotic rusty mottle virus (CNRMV) and Cherry green ring mottle virus (CGRMV) have recently been occurred in Korea, posing a problem for sweet cherry cultivation. Since infected trees have symptomless leaves or ring-like spots on the pericarp, it is difficult to identify a viral infection. In this study, the incidence of CNRMV and CGRMV in sweet cherry in Gyeongbuk province was surveyed using a newly developed duplex reverse transcriptase polymerase chain reaction (RT-PCR) method that can detect both viruses in a single reaction. CNRMV and CGRMV co-infection rates were 29.6%, 53.6%, and 17.6%, respectively, in samples collected from three different sites (Daegu, Gyeongju and Gyeongsan) in Gyeongbuk province during 2012 and 2013. This duplex RT-PCR method offers a simple, rapid, and effective way of identifying CNRMV and CGRMV simultaneously in sweet cherry trees, which can aid in the management of viral infections that could undermine yield.
Novel Handoff Decision Algorithm in Hierarchical Macro/Femto-Cell Networks

Hierarchical macro/femto-cell networks are considered as a promising technology for the improvement of indoor coverage and network capacity. In these emerging networks, handoff procedures for a mobile station moving from a macrocell to a femtocell should be provided to maximize the advantages of femtocells with respect to user satisfaction and system performance. Therefore, we propose an efficient handoff decision algorithm that can be utilized in the situation where a user enters the coverage area of the femtocell. The main idea of the proposed algorithm is to combine the values of received signal strength from a serving macro BS and a target femto BS in the consideration of large asymmetry in their transmit powers. Numerical results show that there is a significant gain in view of the probability that the user will be assigned to the femtocell while keeping the same level of the number of handoffs.
Strategies to Characterize Fungal Lipases for Applications in Medicine and Dairy Industry

Lipases are water-soluble enzymes that act on insoluble substrates and catalyze the hydrolysis of long-chain triglycerides. Lipases play a vital role in the food, detergent, chemical, and pharmaceutical industries. In the past, fungal lipases gained significant attention in the industries due to their substrate specificity and stability under varied chemical and physical conditions. Fungal enzymes are extracellular in nature, and they can be extracted easily, which significantly reduces the cost and makes this source preferable over bacteria. Soil contaminated with spillage from the products of oil and dairy harbors fungal species, which have the potential to secrete lipases to degrade fats and oils. Herein, the strategies involved in the characterization of fungal lipases, capable of degrading fatty substances, are narrated with a focus on further applications.
Expectation-Regulated Neural Model for Event Mention Extraction

We tackle the task of extracting tweets that mention a speciﬁc event from all tweets that contain relevant keywords, for which the main challenges include unbalanced positive and negative cases, and the unavailability of manually labeled training data. Existing meth-ods leverage a few manually given seed events and large unlabeled tweets to train a classi-ﬁer, by using expectation regularization training with discrete ngram features. We pro-pose a LSTM-based neural model that learns tweet-level features automatically. Compared with discrete ngram features, the neural model can potentially capture non-local dependencies and deep semantic information, which are more effective for disambiguating subtle semantic differences between true event mentions and false cases that use similar wording patterns. Results on both tweets and forum posts show that our neural model is more effective compared with a state-of-the-art discrete baseline.
Nonsinusoidal oscillations underlie pathological phase-amplitude coupling in the motor cortex in Parkinson’s disease

Parkinson’s disease (PD) is associated with abnormal beta oscillations (13-30 Hz) in the basal ganglia and motor cortex (M1). Recent reports show that M1 beta-high gamma (50-200 Hz) phase-amplitude coupling (PAC) is exaggerated in PD and is reduced following acute deep brain stimulation (DBS). Here we analyze invasive M1 electrocorticography recordings in PD patients on and off DBS, and in isolated cervical dystonia patients, and show that M1 beta oscillations are nonsinusoidal, having sharp and asymmetric features. These sharp oscillatory beta features underlie the previously reported PAC, providing an alternative to the standard interpretation of PAC as an interaction between two distinct frequency components. Specifically, the ratio between peak and trough sharpness is nearly perfectly correlated with beta-high gamma PAC (r = 0.96) and predicts PD-related motor deficit. Using a simulation of the local field potential, we demonstrate that sharp oscillatory waves can arise from synchronous synaptic activity. We propose that exaggerated beta-high gamma PAC may actually reflect such synchronous synaptic activity, manifesting as sharp beta oscillations that are “smoothed out” with DBS. These results support the “desynchronization” hypothesis of DBS wherein DBS counteracts pathological synchronization throughout the basal ganglia-thalamocortical loop. We argue that PAC can be influenced by more than one mechanism. In this case synaptic synchrony, rather than the often assumed spike-field coherence, may underlie exaggerated PAC. These often overlooked temporal features of the oscillatory waveform carry critical physiological information about neural processes and dynamics that may lead to better understanding of underlying neuropathology.
Societal development, social stratification and power- and achievement-values Inglehart’s scarcity hypothesis and the theory of the social production functions in the comparative study of values

ABSTRACT Power- and achievement-values are seen to be important for productivity and societal stability. But what exact factors drive the forces to adhere to power- and achievement-values? In this study, the focus is on societal development and social stratification. Research on values in general often is not very careful in the distinction between different levels of analysis although the necessity has been outlined in several contributions to theoretical thinking in sociology. That is why this article comes from the position of methodological individualism and highlights explicitly the different levels of analysis and their assumed interrelations. It is shown that Inglehart’s scarcity hypothesis as an explaining mechanism has some weaknesses. As an alternative, the theory of social production functions is suggested that is capable to provide a framework of compatible societal- and individual-level mechanisms. The empirical analysis is based on data of the fourth round of the European Social Survey containing about 50,000 respondents in 31 countries. The comparability of power- and achievement-values across countries and across the societal and the individual level is tested by using two-level confirmatory factor analysis. The results show that comparability across countries and across both levels can be confirmed. Furthermore, opposing relations for societal development and social stratification are found: The higher the societal development, the lower the priority of power- and achievement-values; the higher the social stratification position, the more important the power- and achievement-values. Therefore, the scarcity hypothesis is rejected and the need for an alternative explanation is reinforced.
Identification of the Companion Stars of Type Ia supernovae

The nature of the binary systems giving rise to Type Ia supernovae (SNe Ia) remains an unsolved problem. In this Letter, we calculate, from the statistics of initial conditions (masses and binary separations), the mass, luminosity, and velocity distributions of the possible binary companions (main-sequence star, subgiant, and red giant) following the explosion of the white dwarf that gives rise to the SNe Ia. Those companions could be detected from either their proper or their radial motions by means of high-precision astrometric and radial velocity measurements in young, nearby supernova remnants. Peculiar velocities typically ranging from 100 to 450 km s-1 should be expected; these velocities place proper-motion measurements within reach of the Hubble Space Telescope instruments. Detections would solve the long-standing problem of which kinds of binaries produce SNe Ia and would clear the way for an accurate physical modeling of the explosions.
An analysis of social justice research in school psychology

ABSTRACT The purpose of the current content analysis was to build upon previous empirical research both within school psychology and in other subdisciplines of psychology to refine the operationalized definition of social justice within school psychology research. Operationalizing the definition and substantiating it within the empirical literature is a critical next step for moving the discussion within the field of school psychology from the abstract to the concrete and measurable. We analyzed the research in school psychology to identify how much of the applied literature in school psychology journals between 2010 and 2013 had a social justice focus, what components of social justice were addressed, how they aligned with an established social justice framework from the literature, and what sociodemographic groups were represented. Of the 1,190 school psychology articles reviewed, 13% reported on applied research that included a focus on at least one component of our social justice definition. The majority of studies were conducted using elementary school-aged, English-speaking, White, and typically developing children as participants. Implications and future directions for school psychology research, practice, and training are discussed.
Antibodies Against β2-Glycoprotein I Complexed With an Oxidised Lipoprotein Relate to Intima Thickening of Carotid Arteries in Primary Antiphospholipid Syndrome

To explore whether antibodies against β2-glycoprotein I (β2GPI) complexed to 7-ketocholesteryl-9-carboxynonanoate (oxLig-1) and to oxidised low-density lipoproteins (oxLDL) relate to paraoxonase activity (PONa) and/or intima media thickness (IMT) of carotid arteries in primary antiphospholipid syndrome (PAPS). As many as 29 thrombotic patients with PAPS, 10 subjects with idiopathic antiphospholipid antibodies (aPL) without thrombosis, 17 thrombotic patients with inherited thrombophilia and 23 healthy controls were investigated. The following were measured in all participants: β2GPI−oxLDL complexes, IgG anti-β2GPI−oxLig-1, IgG anti-β2GPI−oxLDL antibodies (ELISA), PONa, (para-nitrophenol method), IMT of common carotid (CC) artery, carotid bifurcation (B), internal carotid (IC) by high resolution sonography. β2GPI−oxLDL complex was highest in the control group (p < 0.01), whereas, IgG anti-β2GPI−oxLig1 and IgG anti-β2GPI−oxLDL were highest in PAPS (p < 0.0001). In healthy controls, β2GPI−oxLDL complexes positively correlated to IMT of the IC (p = 0.007) and negatively to PONa after correction for age (p < 0.03). PONa inversely correlated with age (p = 0.008). In PAPS, IgG anti-2GPI−oxLig-1 independently predicted PONa (p = 0.02) and IMT of B (p = 0.003), CC, (p = 0.03) and of IC (p = 0.04). In PAPS, PONa inversely correlated to the IMT of B, CC and IC (p = 0.01, 0.02 and 0.003, respectively). IgG anti-2GPI−oxLig-1 may be involved in PAPS related atherogenesis via decreased PON activity.
The Problem-size Effect in Mental Addition: Developmental and Cross-national Trends

Across two experiments, the magnitude of the problem-size effect in mental addition was examined for kindergarten and elementary school children, as well as adults, from mainland China and the United States. In North American samples, the problem-size effect represents the finding that arithmetic problems consisting of larger-valued numbers (e.g. 8+7) take longer to solve and are more error prone than are problems consisting of smaller-valued numbers (e.g. 2+3). This standard finding was found for the kindergarten, elementary school, and adult samples from the United States. For the Chinese children, the problem size effect was evident in kindergarten and at the beginning of first grade. However, the effect had disappeared at the end of first grade and had reversed (i.e. largervalued addition problems were solved more quickly than smaller-valued problems) by the end of third grade. However, the standard problem-size effect “reappeared” for the Chinese adults. The results are interpreted in terms of theore.
Convolutional neural networks for attribute-based active authentication on mobile devices

We present a Deep Convolutional Neural Network (DCNN) architecture for the task of continuous authentication on mobile devices. To deal with the limited resources of these devices, we reduce the complexity of the networks by learning intermediate features such as gender and hair color instead of identities. We present a multi-task, part-based DCNN architecture for attribute detection that performs better than state-of-the-art methods in terms of accuracy. As a byproduct of the proposed architecture, we are able to explore the embedding space of the attributes extracted from different facial parts, such as mouth and eyes, to discover new attributes. Furthermore, through extensive experimentation, we show that the attribute features extracted by our method outperform a previously presented attribute-based method and a baseline LBP method for the task of active authentication. Lastly, we demonstrate the effectiveness of the proposed architecture in terms of speed and power consumption by deploying it on an actual mobile device.
Comparative toxicological assessment of PAMAM and thiophosphoryl dendrimers using embryonic zebrafish

Dendrimers are well-defined, polymeric nanomaterials currently being investigated for biomedical applications such as medical imaging, gene therapy, and tissue targeted therapy. Initially, higher generation (size) dendrimers were of interest because of their drug carrying capacity. However, increased generation was associated with increased toxicity. The majority of studies exploring dendrimer toxicity have focused on a small range of materials using cell culture methods, with few studies investigating the toxicity across a wide range of materials in vivo. The objective of the present study was to investigate the role of surface charge and generation in dendrimer toxicity using embryonic zebrafish (Danio rerio) as a model vertebrate. Due to the generational and charge effects observed at the cellular level, higher generation cationic dendrimers were hypothesized to be more toxic than lower generation anionic or neutral dendrimers with the same core composition. Polyamidoamine (PAMAM) dendrimers elicited significant morbidity and mortality as generation was decreased. No significant adverse effects were observed from the suite of thiophosphoryl dendrimers studied. Exposure to ≥50 ppm cationic PAMAM dendrimers G3-amine, G4-amine, G5-amine, and G6-amine caused 100% mortality by 24 hours post-fertilization. Cationic PAMAM G6-amine at 250 ppm was found to be statistically more toxic than both neutral PAMAM G6-amidoethanol and anionic PAMAM G6-succinamic acid at the same concentration. The toxicity observed within the suite of varying dendrimers provides evidence that surface charge may be the best indicator of dendrimer toxicity. Dendrimer class and generation are other potential contributors to the toxicity of dendrimers. Further studies are required to better understand the relative role each plays in driving the toxicity of dendrimers. To the best of our knowledge, this is the first in vivo study to address such a broad range of dendrimers.