Miracle-dz/UniFAR-FTUs huggingface dataset:
A “Coiled-Coil” Motif Is Important for Oligomerization and DNA Binding Properties of Human Cytomegalovirus Protein UL77

Human cytomegalovirus (HCMV) UL77 gene encodes the essential protein UL77, its function is characterized in the present study. Immunoprecipitation identified monomeric and oligomeric pUL77 in HCMV infected cells. Immunostaining of purified virions and subviral fractions showed that pUL77 is a structural protein associated with capsids. In silico analysis revealed the presence of a coiled-coil motif (CCM) at the N-terminus of pUL77. Chemical cross-linking of either wild-type pUL77 or CCM deletion mutant (pUL77ΔCCM) implicated that CCM is critical for oligomerization of pUL77. Furthermore, co-immunoprecipitations of infected and transfected cells demonstrated that pUL77 interacts with the capsid-associated DNA packaging motor components, pUL56 and pUL104, as well as the major capsid protein. The ability of pUL77 to bind dsDNA was shown by an in vitro assay. Binding to certain DNA was further confirmed by an assay using biotinylated 36-, 250-, 500-, 1000-meric dsDNA and 966-meric HCMV-specific dsDNA designed for this study. The binding efficiency (BE) was determined by image processing program defining values above 1.0 as positive. While the BE of the pUL56 binding to the 36-mer bio-pac1 containing a packaging signal was 10.0±0.63, the one for pUL77 was only 0.2±0.03. In contrast to this observation the BE of pUL77 binding to bio-500 bp or bio-1000 bp was 2.2±0.41 and 4.9±0.71, respectively. By using pUL77ΔCCM it was demonstrated that this protein could not bind to dsDNA. These data indicated that pUL77 (i) could form homodimers, (ii) CCM of pUL77 is crucial for oligomerization and (iii) could bind to dsDNA in a sequence independent manner.
On the evolutionary status of early-type galaxies in clusters at z 0.2 - I. The Fundamental Plane†

We investigate a spectroscopic sample of 48 early-type galaxies in the rich cluster Abell 2390 at z = 0.23 and 48 early-type galaxies from a previously published survey of Abell 2218 at z = 0.18. The spectroscopic data of A 2390 are based on multi-object spectroscopy using the multi-object spectrograph for Calar Alto at the 3.5-m telescope on Calar Alto Observatory and are complemented by ground-based imaging using the 5.1-m Hale telescope and Hubble Space Telescope (HST) observations in the F555W and F814W filters. Our investigation spans a broad range in luminosity (−20.5 Mr −23.0) and a rather wide field of view of 1.53 h −1 × 1.53 h −1 Mpc 2 . As the A 2218 and A2390 samples are very similar, we can combine them and analyse a total number of 96 early-type (E+S0) galaxies at z ∼ 0.2. Using the ground-based data only, we construct the Faber‐Jackson relation (FJR) for all 96 E+S0 galaxies and detect a modest luminosity evolution with respect to the local reference. The average offset from the local FJR
Effects of acoustic distortion and semantic context on lexical access

This study explored the role of attentional and perceptual factors in lexical access by examining the effects of acoustic distortion on semantic priming of spoken words by a sentence context. The acoustic manipulations included low-pass filtering, which was intended to interfere with the sensory encoding of the acoustic signal by reducing intelligibility, and time compression, which was intended to disrupt central language processing by reducing processing time. These distortions were applied to the sentence context to explore how the contribution of contextual information to lexical access is affected by acoustic degradation. Low-pass filtering significantly reduced semantic facilitation. In contrast, temporal compression significantly reduced semantic inhibition without affecting facilitation. These qualitative differences between two forms of acoustic distortion are discussed in terms of the activation, selection, and integration of lexical-semantic information in models of lexical access. Filtering may have its primary effect on a relatively early, automatic process (reflected in facilitation effects), while compression has its primary effect on a later, more demanding process (reflected in inhibition effects). Practical and theoretical implications for higher-level language processing in hearing-impaired and elderly populations are discussed.
Patellofemoral kinematics during weight-bearing and non-weight-bearing knee extension in persons with lateral subluxation of the patella: a preliminary study.

STUDY DESIGN Single-group, repeated-measures design. OBJECTIVE To compare patellofemoral joint kinematics during weight-bearing and non-weight-bearing knee extension in persons with lateral subluxation of the patella. BACKGROUND The only previous study to quantify differences in patellofemoral joint kinematics during weight-bearing and non-weight-bearing tasks was limited in that static loading conditions were utilized. Differences in patellofemoral joint kinematics between weight-bearing and non-weight-bearing conditions have not been quantified during dynamic movement. METHODS AND MEASURES Six females with a diagnosis of patellofemoral pain and lateral subluxation of the patella participated. Using kinematic magnetic resonance imaging, axial images of the patellofemoral joint were obtained as subjects extended their knee from 45 degrees to 0 degrees during non-weight-bearing (5% body weight resistance) and weight-bearing (unilateral squat) conditions. Measurements of patellofemoral joint relationships (medial/lateral patellar displacement and patellar tilt), as well as femur and patella rotations relative to an external reference system (ie, the image field of view), were obtained at 3 degrees increments during knee extension. RESULTS During non-weight-bearing knee extension, lateral patellar displacement was more pronounced than during the weight-bearing condition between 30 degrees and 12 degrees of knee extension, with statistical significance being reached at 27 degrees, 24 degrees, and 21 degrees. No differences in lateral patellar tilt were observed between conditions (P = .065). During the weight-bearing condition, internal femoral rotation was significantly greater than during the non-weight-bearing condition as the knee extended from 18 degrees to 0 degrees. During the non-weight-bearing condition, the amount of lateral patellar rotation was significantly greater than during the weight-bearing condition throughout the range of motion tested. CONCLUSIONS The results of this study demonstrated that lateral patellar displacement was more pronounced during non-weight-bearing knee extension compared to weight-bearing knee extension in persons with lateral patellar subluxation. In addition, the results of this investigation suggest that the patellofemoral joint kinematics during non-weight-bearing could be characterized as the patella rotating on the femur, while the patellofemoral joint kinematics during the weight-bearing condition could be characterized as the femur rotating underneath the patella.
Gossiping, Asynchronous Automata and Zielonka's Theorem

In this paper, we rst tackle a natural problem from distributed computing, involving time-stamps. We then show that our solution to this problem can be applied to provide a simpliied proof of Zielonka's theorem|a fundamental result in the theory of concurrent systems. Let P = fp 1 ; p 2 ; : : : ; p N g be a set of computing agents or processes which synchronize with each other from time to time and exchange information about themselves and others. The gossip problem is the following: Whenever a set P P meets, the processes in P must decide amongst themselves which of them has the latest information, direct or indirect, about each agent p in the system. We propose an algorithm to solve this problem which is nite-state and local. Formally, this means that our algorithm can be implemented as an asynchronous automaton. Solving the gossip problem appears to be a basic step in tackling other problems involving asynchronous automata. Here, we apply our solution to derive an alternative proof of Zielonka's fundamental result that deterministic asynchronous automata accept precisely the class of recognizable trace languages. For a given recognizable trace language L over a concurrent alphabet ((; I), we show how to construct a deterministic asynchronous automaton with the same underlying independence structure which accepts L. Zielonka's original proof of this theorem is quite intricate and hard to grasp. To the best of our knowledge, ours is the rst simpliied proof of this result which works directly with asynchronous automata.
An Empirical formula for the mass-loss rates of dust-enshrouded red supergiants and oxygen-rich asymptotic giant branch stars

We present an empirical determination of the mass-loss rate as a function of stellar luminosity and effective tem- perature, for oxygen-rich dust-enshrouded Asymptotic Giant Branch stars and red supergiants. To this aim we obtained optical spectra of a sample of dust-enshrouded red giants in the Large Magellanic Cloud, which we complemented with spectroscopic and infrared photometric data from the literature. Two of these turned out to be hot emission-line stars, of which one is a definite B(e) star. The mass-loss rates were measured through modelling of the spectral energy distributions. We thus obtain the mass- loss rate formula log u M = −5.65 + 1.05 log(L/10 000 L� ) − 6. 3l og(Teff/3500 K), valid for dust-enshrouded red supergiants and oxygen-rich AGB stars. Despite the low metallicity of the LMC, both AGB stars and red supergiants are found at late spectral types. A comparison with galactic AGB stars and red supergiants shows excellent agreement between the mass-loss rate as predicted by our formula and that derived from the 60 µm flux density for dust-enshrouded objects, but not for optically bright objects. We discuss the possible implications of this for the mass-loss mechanism.
Halo model at its best: constraints on conditional luminosity functions from measured galaxy statistics

Using the conditional luminosity function (CLF; the luminosity distribution of galaxies in a dark matter halo) as the fundamental building block, we present an empirical model for the galaxy distribution. The model predictions are compared with the published luminosity function (LF) and clustering statistics from the Sloan Digital Sky Survey (SDSS) at low redshifts, galaxy correlation functions from the Classifying Objects by Medium-Band Observations 17 (COMBO-17) survey at a redshift of 0.6, the Deep Extragalactic Evolutionary Probe 2 (DEEP2) survey at a redshift of unity, the Great Observatories Deep Origins Survey (GOODS) at a redshift around 3 and the Subaru/XMM-Newton Deep Field data at a redshift of 4. The comparison with statistical measurements allows us to constrain certain parameters related to analytical descriptions on the relation between a dark matter halo and its central galaxy luminosity, its satellite galaxy luminosity, and the fraction of early- and late-type galaxies of that halo. With the SDSS r-band LF at M r M sat , using SDSS data, we find that M sat = (1.2 +2.9 -1.1 ) x 10 13 h -1 M ○. and power-law slope β s = 0.56 +0.19 -0.17 for galaxies with M r < -17 at z < 0.1. At z ∼ 0.6, the COMBO-17 data allows these parameters for M B < -18 galaxies to be constrained as (3.3 +4.0 -3.0 ) x 10 13 h -1 M ○. and (0.62 +0.33 -0.27 ), respectively. At z ∼ 4, Subaru measurements constrain these parameters for M B < -18.5 galaxies as (4.12 +5.90 -4.08 ) x 10 12 h -1 M ○. and (0.55 +0.32 -0.35 ), respectively. The redshift evolution associated with these parameters can be described as a combination of the evolution associated with the halo mass function and the luminosity-halo mass relation. The single parameter well constrained by clustering measurements is the average of the total satellite galaxy luminosity corresponding to the dark matter halo distribution probed by the galaxy sample. For SDSS, (L sat ) = (2.1 +0.8 -0.4 ) x 10 10 h -2 L ○. , while for GOODS at z ∼ 3, (L sat ) < 2 x 10 11 h -2 L ○. For SDSS, the fraction of galaxies that appear as satellites is 0.13 +0.03 -0.03 , 011 +0.05 -0.02 , 0.11 +0.12 -0.03 and 0.12 +0.33 -0.05 for galaxies with luminosities in the r' band from -22 to -21, -21 to -20, -20 to -19 and -19 to -18, respectively. In addition to constraints on central and satellite CLFs, we also determine model parameters of the analytical relations that describe the fraction of early- and late-type galaxies in dark matter haloes. We use our CLFs to establish the probability distribution of halo mass in which galaxies of a given luminosity could be found either at halo centres or as satellites. Finally, to help establish further properties of the galaxy distribution, we propose the measurement of cross-clustering between galaxies divided into two distinctly different luminosity bins. Our analysis shows how CLFs provide a stronger foundation to built-up analytical models of the galaxy distribution when compared with models based on the halo occupation number alone.
THE ASSOCIATION BETWEEN SOCIODEMOGRAPHIC FACTORS AND TEACHERS’ GUIDANCE TOWARDS STUDENTS’ ADVERSITY QUOTIENT

This paper aims to report results of research on the association between sociodemographic indicators and teachers’ efforts to help students cope with problems and help build students’ Adversity Quotient. A questionnaire in the form of self-report inventory was distributed to 102 fourth, fifth, and sixth grade students of A- and C-accredited primary schools in Bantul Regency, Yogyakarta, Indonesia. Multiple regression and inductive reasoning were used for analysis. FGDs with teachers were conducted in order to explore teachers’ efforts in helping improve students’ adversity quotient. Research results showed that students who were middle child had significantly lower AQ compared to those of first-born or earlier-born child, while sixth-graders had significantly higher AQ scores compared to fourth graders, and children whose fathers were skilled workers had greater odds of having high AQ. Teachers had already done some LEAD sequence, but had not guided students to explore and analyze the problem by themselves. The results have some implications for the education policy to integrate religious teachings into the curriculum that can facilitate the improvement of students’ Adversity Quotient.
Physical properties of spray dried grape syrup as affected by drying temperature and drying aids

In this study, the effect of spray drying conditions (inlet air temperature and maltodextrin concentration) on physicochemical properties of grape syrup powder was investigated. A pilot-scale spray dryer was used for drying process. Grape syrup was fed into the drier at inlet air temperatures of 150, and 170 °C (A maltodextrin)/(grape syrup solids) ratios of 4, 2, 1, and 0.5 was used for feeding material. The powders were analyzed for moisture content, water activity, bulk density, solubility, hygroscopicity, and wettability. The least significant difference between means at p < 0.05 was calculated using SPSS statistical software. The results showed that, by increasing inlet air temperature, moisture content, water activity, bulk density and hygroscopicity were decreased, while wettability and solubility were increased. Moisture content and water activity were significantly affected by the maltodextrin concentration. Bulk density, solubility, hygroscopicity and wettability were negatively influenced by maltodextrin concentration. Overall, increasing inlet air temperature and maltodextrin concentration led to reduced stickiness enhancing powder production yield.
Socialized Gaussian Process Model for Human Behavior Prediction in a Health Social Network

Modeling and predicting human behaviors, such as the activity level and intensity, is the key to prevent the cascades of obesity, and help spread wellness and healthy behavior in a social network. In this work, we propose a Socialized Gaussian Process (SGP) for socialized human behavior modeling. In the proposed SGP model, we naturally incorporates human's personal behavior factor and social correlation factor into a unified model, where basic Gaussian Process model is leveraged to capture individual's personal behavior pattern. Furthermore, we extend the Gaussian Process Model to socialized Gaussian Process (SGP) which aims to capture social correlation phenomena in the social network. The detailed experimental evaluation has shown the SGP model achieves the best prediction accuracy compared with other baseline methods.
A Distributed Reasoning Approach to Mobile Mesh Network Optimization

By using robots as routers, a team of networked robots can provide a communication substratum establishing a wireless mesh network. The mobile mesh network can autonomously optimize its configuration, increasing performance. One of the main sources of radio signal fading in such a network is multi-path propagation, which can be mitigated by moving the receivers distances on the order of a wavelength. In this paper, we measure the performance gain when robots are allowed to make such small movements and find that it may be as much as 300%. Our main contribution is the design of a system that allows robots to cooperate and improve the real-world network throughput via a practical solution. We model the problem of which robots to move as a distributed constraint optimization problem (DCOP). Our study includes using four local metrics to estimate global throughput.
Prognostic Value of Residual Disease after Interval Debulking Surgery for FIGO Stage IIIC and IV Epithelial Ovarian Cancer

Although complete debulking surgery for epithelial ovarian cancer (EOC) is more often achieved with interval debulking surgery (IDS) following neoadjuvant chemotherapy (NACT), randomized evidence shows no long-term survival benefit compared to complete primary debulking surgery (PDS). We performed an observational cohort study of patients treated with debulking surgery for advanced EOC to evaluate the prognostic value of residual disease after debulking surgery. All patients treated between 1998 and 2010 in three Dutch referral gynaecological oncology centres were included. The prognostic value of residual disease after surgery for disease specific survival was assessed using Cox-regression analyses. In total, 462 patients underwent NACT-IDS and 227 PDS. Macroscopic residual disease after debulking surgery was an independent prognostic factor for survival in both treatment modalities. Yet, residual tumour less than one centimetre at IDS was associated with a survival benefit of five months compared to leaving residual tumour more than one centimetre, whereas this benefit was not seen after PDS. Leaving residual tumour at IDS is a poor prognostic sign as it is after PDS. The specific prognostic value of residual tumour seems to depend on the clinical setting, as minimal instead of gross residual tumour is associated with improved survival after IDS, but not after PDS.
Further Evaluating the Relationship Between Adverse Childhood Experiences, Antisocial Behavior, and Violent Victimization: A Sibling-Comparison Analysis

A developing line of research suggests that adverse childhood experiences (ACEs) increase the risk for antisocial behavior and future victimization. However, the mechanisms that underlie this association remain largely speculative. To address this gap in the existing body of research, data on full siblings from a large population-based sample of youth were analyzed to evaluate the direct effect of ACEs on child antisocial behavior, adolescent delinquency, and young adult violent victimization after controlling for familial confounders. Traditional between-family analyses revealed that ACEs were significantly associated with higher levels of childhood antisocial behavior, adolescent delinquent behavior, and risk for violent crime victimization. After controlling for unmeasured common genetic and shared environmental confounds using fixed-effect sibling comparisons, siblings exposed to more ACEs did not demonstrate higher levels of antisocial behavior, delinquent behavior, or risk for future victimization. The implications of these results for future ACEs research are discussed.
The GI-GPx Gene Is a Target for Nrf2

ABSTRACT The gastrointestinal glutathione peroxidase (GI-GPx, GPx2) is a selenoprotein that was suggested to act as barrier against hydroperoxide absorption but has also been implicated in the control of inflammation and malignant growth. In CaCo-2 cells, GI-GPx was induced by t-butyl hydroquinone (tBHQ) and sulforaphane (SFN), i.e., “antioxidants” known to activate the “antioxidant response element” (ARE) via electrophilic thiol modification of Keap1 in the Nrf2/Keap1 system. The functional significance of a putative ARE in the GI-GPx promoter was validated by transcriptional activation of reporter gene constructs upon exposure to electrophiles (tBHQ, SFN, and curcumin) or overexpression of Nrf2 and by reversal of these effects by mutation of the ARE in the promoter and by overexpressed Keap1. Binding of Nrf2 to the ARE sequence in authentic gpx2 was corroborated by chromatin immunoprecipitation. Thus, the presumed natural antioxidants sulforaphane and curcumin may exert their anti-inflammatory and anticarcinogenic effects not only by induction of phase 2 enzymes but also by the up-regulation of the selenoprotein GI-GPx.
Resource Demand Growth and Sustainability Due to Increased World Consumption

The paper aims at continuing the discussion on sustainability and attempts to forecast the impossibility of the expanding consumption worldwide due to the planet’s limited resources. As the population of China, India and other developing countries continue to increase, they would also require more natural and financial resources to sustain their growth. We coarsely estimate the volumes of these resources (energy, food, freshwater) and the gross domestic product (GDP) that would need to be achieved to bring the population of India and China to the current levels of consumption in the United States. We also provide estimations for potentially needed immediate growth of the world resource consumption to meet this equality requirement. Given the tight historical correlation between GDP and energy consumption, the needed increase of GDP per capita in the developing world to the levels of the U.S. would deplete explored fossil fuel reserves in less than two decades. These estimates predict that the world economy would need to find a development model where growth would be achieved without heavy dependence on fossil fuels.