Miracle-dz/UniFAR-FTUs huggingface dataset:
Conformational Regulation of Membrane Localization and Activation of Talin

Talin is a cytosolic protein which is known to be one of the key players involved in integrin mediated cell adhesion dependent processes, including blood coagulation, tissue redmodeling. It connects the extracellular matrix with the actin cytoskeleton. Talin comprises of a head domain (talin-H) and a rod domain (talin-R). Talin-H is further subdivided in F0, F1, F2 and F3 domains. Talin-R contains 13 contiguous helical bundle domains (R1-R13) followed by an actin binding dimerization domain (DD). The F3 domain contains a key integrin binding site that regulates integrin activation. In our previous studies, we have shown that cytosolic talin exists in an autoinhibited state where the integrin binding site in F3 domain is self-masked by R9 domain. The autoinhibited talin is randomly distributed in the cytosol but upon activation, talin is rapidly localized to membrane and it binds and activates integrin. The main focus of the present study was to understand the mechanism of plasma membrane localization and activation of talin. Since talin has long been known to also bind to actin, we also investigated the actin binding sites in talin and how they are conformationaly regulated.
Improved dehazing techniques for maritime surveillance image enhancement

The subjective quality of images (human interpretation) is very important in long-range imaging systems, where the presence of haze directly influences visibility of the scene, by reducing contrast and obscuring objects. Image enhancement techniques – dehazing techniques, are usually required in such systems. This paper compares the most significant single image dehazing approaches, proposes three additional enhancement steps in dehazing algorithms, compares performance of the algorithms and additional enhancement steps, and presents test results on maritime surveillance images, which represent one special case of long-range images.
The sensitivity of Fama-French factors to economic uncertainty

This paper analyzes the sensitivity of the three Fama-French factors in relation to the US economic uncertainty, by using three proxies of uncertainty measures in macroeconomics, financial markets or economic policy from January 1985 to December 2011. We examine the extent, speed and duration of response of the three (market, size and value) risk premia to movements in the US uncertainties under low and high volatility regimes through the Markov-regime switching VAR model. We find clearly two (high and low) volatility regimes, where each regime is highly persistent. The high volatility regime is the prevailing regime between periods of 2000 to 2003, and 2008 to the end of 2012. We show a negative effect of changes in financial and economic policy uncertainties on value risk premia during the high volatility regime. This finding imply that investors move to growth stocks from value stocks in high volatility regime when volatility is expected to increase. The latter suggests that value firms can be more risky than growth firms during high volatility periods. We also propose an aggregate measure of economic uncertainty by using Principal Component Analysis based on the three uncertainty proxies. The results on value risk premia are confirmed. We find a negative relationship between the market risk premium and the change in the economic uncertainty index in high volatility regime. Finally, by adding a liquidity risk factor we find a positive effect of financial uncertainty on liquidity factor during the high volatility regime, suggesting that investors preferring liquidity stocks when market uncertainty increases.
Context2Name: A Deep Learning-Based Approach to Infer Natural Variable Names from Usage Contexts

Most of the JavaScript code deployed in the wild has been minified, a process in which identifier names are replaced with short, arbitrary and meaningless names. Minified code occupies less space, but also makes the code extremely difficult to manually inspect and understand. This paper presents Context2Name, a deep learningbased technique that partially reverses the effect of minification by predicting natural identifier names for minified names. The core idea is to predict from the usage context of a variable a name that captures the meaning of the variable. The approach combines a lightweight, token-based static analysis with an auto-encoder neural network that summarizes usage contexts and a recurrent neural network that predict natural names for a given usage context. We evaluate Context2Name with a large corpus of real-world JavaScript code and show that it successfully predicts 47.5% of all minified identifiers while taking only 2.9 milliseconds on average to predict a name. A comparison with the state-of-the-art tools JSNice and JSNaughty shows that our approach performs comparably in terms of accuracy while improving in terms of efficiency. Moreover, Context2Name complements the state-of-the-art by predicting 5.3% additional identifiers that are missed by both existing tools.
Methods for Optimising Patient Function After Total Hip Arthroplasty

Symptomatic hip osteoarthritis occurs in 3% of the elderly (Felson 2004) and is associated with poor general health status (Dawson et al. 2004). Treatment strategies for hip pain have traditionally involved conservative measures (analgesia, exercise, education, weight reduction) and surgical intervention (joint replacement) is the most effective treatment for end stage disease (Birrell et al. 2000, Di Domenica et al. 2005). According to the National joint registry, the number of primary total hip replacements (THR) in England and Wales in 2008/2009 totalled 77608, which is a steady rise from the amount reported in 2007/2008 (73632) and 2006/2007 (51981) (National Joint Registry for England and Wales 2010). The average age of patients undergoing a primary total hip replacement is 66.7 years (SD 13.1) with females slightly older than males (average 68.4 years (SD12.4) vs. 65.8 years (SD 12.24) respectively) (National Joint Registry for England and Wales 2010). As technology and surgical techniques for total hip replacement (THR) improve, patient expectations have also increased, including for an early return to normal physical function and activities (Wang, Gilbey & Ackland 2002). A reduced time between surgery and mobilisation has been found to have an influence in reducing length of stay and increasing patient satisfaction (Husted et al. 2008). This is particularly important due to the introduction of initiatives such as integrated care pathways, which have rapidly reduced the length of hospital stay following joint replacement with inpatient physiotherapy time also reduced (National Audit Office 2003). The median length of stay for THR patients according to data collated from a total of 125 acute trusts in England (2004-2005) was 7 days (interquartile range IQR 5-10) (Wilson et al. 2008). Whilst THR generally resolves pain, function usually remains substantially sub-optimal. At 24 months following total joint arthroplasty, patients with low pre-operative function are five times more likely to require assistance from another person for their activities of daily living compared to those with high preoperative function (relative risk 5.2, 95% CI 1.9-14.6; (Fortin et al. 2002)). This protracted disability has detrimental economic, social and health consequences. Optimising function after surgery is therefore an important component of rehabilitation.
Simulation of soil organic carbon changes in Vertisols under conservation tillage using the RothC model

The purpose of this study was to determine the measured and simulated rates of soil organic carbon (SOC) change in Vertisols in short-term experiments when the tillage system is changed from traditional tillage (TT) to conservation tillage (CT). The study was conducted in plots in four locations in the state of Michoacan and two locations in the state of Guanajuato. In the SOC change simulation, the RothC-26.3 carbon model was evaluated with different C inputs to the soil (ET1-ET5). ET was the measured shoot biomass (SB) plus estimated rhizodeposition (RI). RI was tested at values of 10, 15, 18, 36 and 50 % total biomass (TB). The SOC changes were simulated with the best trial where ET3 = SB + (0.18*TB). Values for model efficiency and the coefficient of correlation were in the ranges of 0.56 to 0.75 and 0.79 to 0.92, respectively. The average rate of SOC change, measured and simulated, in the study period was 3.0 and 1.9 Mg ha−1 yr−1, respectively; later, in a simulation period of 45 years, SOC change was 1.2 ± 0.8. In particular, without making adjustments in the RothC parameters and with information on measured plant residue C inputs to the soil, it was possible to simulate changes in SOC with RothC and estimate trends over a period of more than 45 years.
Systems approach to standardization of care in the secondary prevention of noncardioembolic ischemic stroke

A systems approach to stroke care is a multidisciplinary team strategy with the goal of reducing stroke risk. This strategy may start with community-based primary prevention education. For individuals who experience stroke, the inpatient component of a stroke system is designed to integrate evidence-based acute treatment and secondary prevention strategies. A key component to stroke systems care is the use of standardized, evidence-based treatment protocols. During the acute (or subacute) phase of care, the team must be prepared to prevent stroke progression, prevent complications of stroke, manage comorbidities, and reduce the risk of secondary stroke. Hospitalists may take a leadership role both in establishing stroke systems protocols at their institutions and in providing inpatient care for stroke patients. The objective of this article is to review the components of inpatient stroke systems, with a focus on care of patients with noncardioembolic ischemic stroke. Methods to minimize common barriers to establishing stroke systems programs are also presented. Journal of Hospital Medicine 2008;3(4 Suppl):S29–S35. © 2008 Society of Hospital Medicine.
A hybrid addition chain method for faster scalar multiplication

Solutions to addition chain problem can be applied to operations involving huge number such as scalar multiplication in elliptic curve cryptography. Recently, a decomposition method was introduced, with an intention to generate addition chain with minimal possible terms. Totally different from others, this new method uses rule representation for prime factors of n, and a new algorithm to generate a complete chain for n. Although the chain is not always optimal, the method is shown to outclass other existing methods for certain cases of n. The method is based on prime power decomposition and it can be seen as a two-layered approach, prime layer and prime power layer. In this paper, we adapt an idea of non-adjacent form into decomposition method at prime layer. This new hybrid method is called signed decomposition method. Our objective is to reduce the number of addition operations for each p by transforming an original unsigned rule into a signed rule. The study shows that the length of this new chain is confined to the same boundary as that of an optimal chain. A series of tests shows that our method outperforms decomposition method as well as earlier methods significantly. Moreover, possible saving of terms can be made more noticeable as we increase the prime factor.
ANALYTIC DESIGN OF CYCLIC LOW ENERGY ADC WITH SUB-OPTIMAL ESTIMATES CALCULATION

Principles of complex software and hardware design of the sub-optimal low-energy cyclic ADC (CADC) are presented. The extended conversion algorithm for esti- mates computing is discussed. Upper boundaries of CADC resolution, rate of conversion and the ways they can be achieved are analyzed. Properties and general advantage of sub-optimal CADC are discussed and investigated in simulation experiments.
Development and evaluation of advanced backcross families of rice for agronomically important traits

Wild relatives of crop species may contain trait-enhancing genes. Our studies showed that grain yield in cultivated rice can be increased significantly using the genes found in common wild rice. Advanced backcross progenies (Oryza rufipogon IRGC105491 x O. sativa cv. MR219) exhibited higher values for most of the yield and yield-related traits analyzed in comparison to the cultivated parent, MR219. About 10% of the BC2F2 families exhibited 33.5% higher grain yield per plant in comparison to MR219. Even though there was an increase in empty grains per panicle, number of tillers per plant also increased considerably (41.5%). This resulted in higher grain yield per plant, which ranged from 52.4 to 77.5g for the selected families in contrast to 42.4g for MR219. Two families, viz., S163 and S165, were identified through GGE biplot analysis as most promising genotypes for cultivar development. The backcross families offer an efficient source of genetic diversity for future breeding programmes.
Oxidative stress caused by the use of preemergent herbicides in rice crops

Among the methods of weed control, stands out chemical control. However, even selective, herbicides can trigger the production of reactive species of oxygen and cause oxidative stress. The aim of the study was to evaluate changes in photosynthetic parameters, oxidative damage, antioxidant enzyme activity and altered metabolism of rice plants after applying pre-emergent herbicides. The experiment was conducted in a greenhouse and herbicides used were oxadiazon, pendimethalin and oxyfluorfen, beyond the control without herbicide. There was a reduction of photosynthetic rate and efficiency of carboxylation, compared to the control, when applied herbicides oxyfluorfen and pendimethalin. The major lipid peroxidation and proline accumulation was observed for the herbicide oxyfluorfen. The oxyfluorfen and oxadiazon herbicides also resulted in increased activity of superoxide dismutase, compared to control. When evaluated ascorbate peroxidase activity, there was a higher enzyme activity in plants treated with oxadiazon and pendimethalin. Even selective herbicides registered for weed control in rice crops cause phytotoxicity, reduce height and alter the metabolism of plants, generating reactive oxygen species, which activate enzymatic and non-enzymatic defense systems and result in the degradation of photosynthetic pigments and in reduced protein content.
EFFECTS OF TIME SYNCHRONIZATION ON OPERATIONAL MODAL ANALYSIS

In this paper a common problem in Wireless Sensor Networks (WSN) as is synchronization between distributed measurement nodes is analyzed. This issue becomes more important as information gathered by each node must be combined to form a global information subsequently analyzed. In the case of using WSN for Operational Modal Analysis (OMA) applied to Structural Health Monitoring, small synchronization errors can cause major problems in modal identification. Thus, a numerical experiment is presented in which the effects of these synchronization errors on the OMA estimation are shown. This controlled simulation allows us to analyze the mode shapes identified with and without error yielding important conclusions that may be used to improve estimations in future applications.
Molecular characterization of Listeria species isolated from frozen fish.

The objective of this study was to investigate the molecular characterization of Listeria species isolated from frozen raw fish. A total of 219 samples consisting of 104 mackerel, 52 horse mackerel, 51 catfish and 12 herring were collected and analyzed by bacteriological, serological, antimicrobial and molecular methods. Overall, 29(56.9%) and 1(0.96%) of catfish samples and mackerel samples respectively were positive for Listeria spp. No Listeria was detected in herring and horse mackerel. In catfish, L. welshimeri (13.7 %) was the most commonly isolated species followed by L. monocytogenes (11.8 %), L. innocua (9.8 %), L. grayi subsp. murrayi (9.8 %), L. grayi subsp. grayi (7.8 %), and L. ivanovii (3.9 %). In mackerel, only L. monocytogenes was detected in one sample. L. monocytogenes isolates serotyped as type 1 and type 4 (3 isolates each) and one non-typeable. Antimicrobial resistance profiling showed all L. monocytogenes isolates were resistant to ampicillin and tetracycline. Two were resistant to erythromycin. However, they were susceptible to rifampicin, vancomycin, chloramphenicol and streptomycin. Four virulence-associated genes (prfA, hlyA, actA and inlA) in addition to the genus gene (prs) were investigated using multiplex PCR. All the isolates were positive for prs gene but, only L. monocytogenes isolates were positive for all tested virulence genes. Our study indicates that imported raw catfish can represent a significant source of L. monocytogenes and potential health risk for listeriosis.
Antidiabetic Potential of Eugenia jambolana Ethanolic Seed Extract: Effect on Antihyperlipidemic and Antioxidant in Experimental Streptozotocin-Induced Diabetic Rats

Diabetes is one of the chronic diseases characterized by hyperglycemia resulting from impaired insulin secretion, insulin action, or both and presently one of the vital causes leading to mortality and morbidity [1]. Chronic hyperglycemia is damaging to β-cells and peripheral tissues, a condition termed glucotoxicity, which is clinically related as a cause of diabetes-related complications such as cardiovascular disease, nephropathy, retinal blindness, neuropathy and peripheral gangrene [2,3]. Therefore, maintenance of glycemic homeostasis is the most common therapeutic aim for patients with Type 2 diabetes, the most prevalent type of diabetes. Moreover, abnormal lipid metabolism in adipose and other tissues can cause lipotoxicity, exhibit increased low density Research Article
Perception and lexical encoding of tone in a restricted tone language: Developmental evidence from Limburgian

Within the large family of tone languages, differences exist with respect to the importance and phonetic realization of tones. It remains unclear how these differences influence the acquisition and processing of lexical tone. Limburgian, spoken in the south of the Netherlands, is assumed to have lexical tone, but it has a lower functional load than for example Mandarin Chinese. Moreover, lexical tone in Limburgian is subject to an intriguing amount of surface variation [1]. We compared performance of native Limburgians to native non-tonal Dutch controls on a series of behavioral experiments: Discrimination of lexical tone in the first year of life (Exp. 1) and in adulthood (Exp. 2), and the encoding of lexical tone during word learning in toddlers and adults (Exp. 3). Our results partly deviate from previous research on tone languages like Mandarin, but are on a par with recent findings with Japanese children, suggesting that the acquisition and processing of lexical tone indeed seems to be influenced by functional load and phonetic variability.
Combination Effect of Feed Supplements on Milk Yield and Milk Quality of Dairy Cattle

This study was to evaluate the effects of feed supplements containing tannins, NPN and mineral on milk yield and milk quality of dairy cattle. Nine lactating dairy cows were designed in experiment by a completely randomized design with 3 treatments and 3 replications. Treatment consists of R0: Total Mixed Ration (TMR); RA: TMR + supplements A; RB: TMR + supplement B. The results showed that supplementation of feed supplements A and B were no effect on milk yield and quality but were had significantly different effect on Milk production efficiency for MPE (Milk yield/FCM). Feed supplement A can increase milk yield by 20.88% and feed supplement B increase milk yield by 8.07% compare with only TMR feeding. All supplementation feed supplement had average milk yield higher than control feed. In conclusion the feed supplements increase feed efficiency for dairy cattle. 
Evolve Then Filter Regularization for Stochastic Reduced Order Modeling

In this paper, we introduce the evolve-then-filter (EF) regularization method for reduced order modeling of convection-dominated stochastic systems. The standard Galerkin projection reduced order model (G-ROM) yield numerical oscillations in a convection-dominated regime. The evolve-then-filter reduced order model (EF-ROM) aims at the numerical stabilization of the standard G-ROM, which uses explicit ROM spatial filter to regularize various terms in the reduced order model (ROM). Our numerical results based on a stochastic Burgers equation with linear multiplicative noise. It shows that the EF-ROM is significantly better results than G-ROM.
Prepared for the NRMA-ACT Road Safety Trust

The predominantly urban roads of the ACT create a complex environment in which drivers must quickly detect and respond to changing hazards. This project comprised three experiments designed to assess factors that affect drivers’ ability to detect changes in visual information and specifically exploring whether sleepiness impairs change detection, as no previous published research had examined this. Experiment 1 assessed factors that affect drivers’ change detection using photographic stimuli representing urban and rural driving scenes. Accuracy, response time (RT) and eye movements were measured. Participants showed superior change detection in rural compared with urban scenes, and for changes involving road users, animals and traffic lights, compared to inanimate objects (signs and trees). Experiment 2 used a modified version of the Experiment 1 task to explore the effect of sleep loss on change detection. Participants completed the change detection task twice, once after a normal night’s sleep (8 hours) and once following a night of sleep restriction (5 hours). Sleepiness did not impair accuracy, but was associated with increased RT to detect changes in urban scenes. As in Experiment 1, participants were more efficient at detecting changes to other road users than static objects (trees and signs) and were better at detecting changes in rural scenes compared to urban scenes. Experiment 3 was conducted in the CARRS-Q advanced driving simulator. Participants’ ability to detect expected and unexpected changes while driving in simulated urban and rural areas was compared when alert (8 hours sleep) and sleepy (5 hours sleep). Sleep loss did not significantly impair detection of expected changes; however, there was a non-significant reduction in detection of unexpected changes. Participants were better at detecting changes with high safety relevance and in urban areas (where travel speed was low), compared to rural areas (where travel speeds were high). Overall, this research suggests that drivers are better at detecting changes that involve other road users and targets with high safety relevance. The impact of safety relevance is greatest in demanding situations, e.g. when the visual environment is cluttered or at high travel speeds. There is limited evidence that sleep loss impairs efficiency of change detection in visually cluttered urban scenes. Future research is necessary to understand the vulnerability of visual attention to sleep loss.
Dielectric And Electrical Properties Of Barium Zirconate Titanate Ceramics

At lower frequency range, the curve was not well fitted suggesting the contribution of small ac conductivity due to electrode polarization effect along with dc conductivity; however at higher frequency the curves were well fitted indicating the frequency dependence of ac conductivity at higher frequency. Frequency dependent of ac conductivity indicates that conduction occurs due to hopping of small polarons among the localized states. It was also reported that changes in ac conductivity with Zr contents in the samples.