Miracle-dz/UniFAR-FTUs huggingface dataset:
Using Convolutional Neural Networks to Predict Completion Year of Fine Art Paintings

This paper investigates the feasibility of using a convolutional neural network to predict the year of completion of a fine art painting. We confirmed the feasibility of this problem by training a network that achieves a 48% accuracy classifying a test set into 5 different 25 year periods between the years of 1875 and 2000. The approach taken to achieve this was to take a pre trained model designed to classify ImageNet images, and reset both fully connected layers and several of the deepest convolutional layers with the goal of learning high level feature representations that are more useful to the task of art classification than ImageNet classification.
EVALUATION OF COMMERCIAL PHEROMONE LURES AND TRAPS FOR MONITORING MALE FALL ARMYWORM ( LEPIDOPTERA : NOCTUIDAE ) IN THE COASTAL REGION OF CHIAPAS , MEXICO

Commercially available sex pheromone lures and traps were evaluated for monitoring male fall armyworm (FAW), Spodoptera frugiperda , in maize fields in the coastal region of Chiapas, Mexico during 1998-1999. During the first year, Chemtica and Trécé lures performed better than Scentry lures, and there was no difference between Scentry lures and unbaited controls. In regard to trap design, Scentry Heliothis traps were better than bucket traps. In 1999, the pattern of FAW captured was similar to that of 1998, although the number of males captured was lower. The interaction between both factors, traps and lures, was significant in 1999. Bucket traps had the lowest captures regardless of what lure was used. Scentry Heliothis traps with Chemtica lure captured more males than with other lures or the controls. Delta traps had the greatest captures with Chemtica lure, followed by Trécé and Pherotech lures. Several non-target insects were captured in the FAW pheromone baited traps. The traps captured more non-target insects than FAW males in both years. Baited traps captured more non-target insects than unbaited traps.
Derivative observations used in predictive control

Gaussian processes provide approach to probabilistic nonparametric modelling which allows a straightforward combination of measured data and local linear models in an empirical model. This is of particular importance in the identification of nonlinear dynamic systems from experimental data where usually more data are available far from equilibrium points. We illustrate the utility of such simple nonlinear predictive control example.
Semantics for Dynamic Syntactic Epistemic Logics

Traditional epistemic logic assumes that agents' knowledge is closed under logical consequence. Many attempts to solve this logical omniscience problem weaken the closure condition by assuming that agents are ignorant of certain logical rules. Duc (1997) avoids the apparent paradox of non-omniscience and non-ignorance by introducing propositions on the form "Փ is true after some train of thought of agent i" explicitly into the language. A logic DES4n for this language is presented as a dynamic version of S4n. DES4n describes agents who do not necessarily know any (S4n) consequence of their knowledge now, but can get to know any such consequence in the future. Duc does not, however give a semantics for DES4n. In this paper we provide a semantics, for DES4n and some weaker systems, and prove soundness and completeness. A key assumption is that an agent can only know a finite number of formulae at each time. The semantics is based on Kripke models, where each world syntactically assigns a finite number of formulae to each agent and the transitions model steps of reasoning.
The Tyrosine Phosphatase STEP Mediates AMPA Receptor Endocytosis after Metabotropic Glutamate Receptor Stimulation

Although it is well established that AMPA receptor (AMPAR) trafficking is a central event in several forms of synaptic plasticity, the mechanisms that regulate the surface expression of AMPARs are poorly understood. Previous work has shown that striatal-enriched protein tyrosine phosphatase (STEP) mediates NMDAR endocytosis. This protein tyrosine phosphatase is enriched in the synapses of the striatum, hippocampus, cerebral cortex, and other brain regions. In the present investigation, we have explored whether STEP also regulates AMPAR internalization. We found that (RS)-3,5-dihydroxyphenylglycine (DHPG) stimulation triggered a dose-dependent increase in STEP translation in hippocampal slices and synaptoneurosomes, a process that requires stimulation of mGluR5 (metabotropic glutamate receptor 5) and activation of mitogen-activated protein kinases and phosphoinositide-3 kinase pathways. DHPG-induced AMPAR internalization and tyrosine dephosphorylation of GluR2 (glutamate receptor 2) was blocked by a substrate-trapping TAT-STEP [C/S] protein in hippocampal slices and cultures. Moreover, DHPG-triggered AMPAR internalization was abolished in STEP knock-out mice and restored after replacement of wild-type STEP. These results suggest a role for STEP in the regulation of AMPAR trafficking.
Multi-sensor fusion for vehicle localization in real environment

It is essential for vehicles acquiring one's own current position to navigate autonomously. Especially, vehicles usually do not clearly obtain GPS information at indoor environments. In order to localize itself, vehicles have to use absolute and relative measurement systems from surrounding environmental and its driving information. Absolute position information such as environmental structures and magnets located on the ground can be used for offsetting the error of vehicle's relative position estimated from encoder and inertial sensors. In this paper, we describe how a variety of multi-sensors are integrated to measure the precise position of a vehicle. This means that as a way to reduce the relative position error, sensor fusion is able to produce accurate navigation information. In order to sense indoor environmental structures such as walls, artificial cones and magnets, we have employed LiDAR sensors and a magnet ruler, a device can detect magnetic field. Thus, we apply these information to Extended Kalman Filter for estimating vehicle's accurate position, and conduct two experiments to prove the effectiveness of the localization.
Sumoylation of bZIP Transcription Factor NRL Modulates Target Gene Expression during Photoreceptor Differentiation*

Development of rod photoreceptors in the mammalian retina is critically dependent on the basic motif-leucine zipper transcription factor NRL (neural retina leucine zipper). In the absence of NRL, photoreceptor precursors in mouse retina produce only cones that primarily express S-opsin. Conversely, ectopic expression of NRL in post-mitotic precursors leads to a rod-only retina. To explore the role of signaling molecules in modulating NRL function, we identified putative sites of post-translational modification in the NRL protein by in silico analysis. Here, we demonstrate the sumoylation of NRL in vivo and in vitro, with two small ubiquitin-like modifier (SUMO) molecules attached to the Lys-20 residue. NRL-K20R and NRL-K20R/K24R sumoylation mutants show reduced transcriptional activation of Nr2e3 and rhodopsin promoters (two direct targets of NRL) in reporter assays when compared with wild-type NRL. Consistent with this, in vivo electroporation of the NRL-K20R/K24R mutant into newborn Nrl−/− mouse retina leads to reduced Nr2e3 activation and only a partial rescue of the Nrl−/− phenotype in contrast to the wild-type NRL that is able to convert cones to rod photoreceptors. Although PIAS3 (protein inhibitor of activated STAT3), an E3-SUMO ligase implicated in photoreceptor differentiation, can be immunoprecipitated with NRL, there appears to be redundancy in E3 ligases, and PIAS3 does not seem to be essential for NRL sumoylation. Our studies suggest an important role of sumoylation in fine-tuning the activity of NRL and thereby incorporating yet another layer of control in gene regulatory networks involved in photoreceptor development and homeostasis.
ORGANIZATIONAL COMMITMENT AS MEDIATOR VARIABLES ON THE RELATIONSHIP BETWEEN ORGANIZATIONAL JUSTICE AND TURNOVER INTENT

Current research conducted with two main concerns, first, to investigate the effect of distributive and procedural justice on turnover intent. And second, to examine the roles of affective, continuance and normative organizational commitment as the mediator variables on the effects of distributive and procedural justice on turnover intent. One-hundred-and-fifty-five employees from a public organization located in Bengkulu Province participated voluntarily as the respondents. Three steps Mediated Regression Analysis (MDA) applied to test the hypotheses. As expected, Distributive justice and procedural justice negatively affect the turnover intent. In addition, the effect of distributive justice on turnover intent mediated by affective and normative organizational commitment. The effect of procedural justice is mediated by affective, continuance, and normative organizational commitment.
Lifetime Physical Activity and Risk of Endometrial Cancer

Background: The role of moderate physical activity and life patterns of activity in reducing endometrial cancer risk remains uncertain. Methods: We assessed lifetime histories of activity from recreation, transportation, chores, and occupation and other risk factors in a population-based case-control study of endometrial cancer conducted in the San Francisco Bay area. The analysis was based on 472 newly diagnosed cases ascertained by the regional cancer registry and 443 controls identified by random-digit dialing who completed an in-person interview. Results: Reduced risks associated with greater lifetime physical activity (highest versus lowest tertile) were found for both total activity [odds ratio (OR), 0.61; 95% confidence interval (95% CI), 0.43-0.87; Ptrend = 0.01] and activity of moderate intensity (OR, 0.44; 95% CI, 0.30-0.64; Ptrend < 0.0001). Compared with women with low lifetime physical activity (below median), those with greater activity throughout life had a higher reduction in risk (OR, 0.62; 95% CI, 0.44-0.88). Inverse associations were stronger in obese and overweight women, but differences were not statistically significantly different from those in normal-weight women. Conclusion: These findings suggest that physical activity in adulthood, even of moderate intensity, may be effective in lowering the risk of endometrial cancer, particularly among those at highest risk for this disease. Impact: The results emphasize the importance of evaluating lifetime histories of physical activity from multiple sources, including both recreational and nonrecreational activities of various intensities, to fully understand the relation between physical activity and disease risk. Cancer Epidemiol Biomarkers Prev; 19(5); 1276–83. ©2010 AACR.
SSB Protein Limits RecOR Binding onto Single-stranded DNA*

The RecO and RecR proteins form a complex that promotes the nucleation of RecA protein filaments onto SSB protein-coated single-stranded DNA (ssDNA). However, even when RecO and RecR proteins are provided at optimal concentrations, the loading of RecA protein is surprisingly slow, typically proceeding with a lag of 10 min or more. The rate-limiting step in RecOR-promoted RecA nucleation is the binding of RecOR protein to ssDNA, which is inhibited by SSB protein despite the documented interaction between RecO and SSB. Full activity of RecOR is seen only when RecOR is preincubated with ssDNA prior to the addition of SSB. The slow binding of RecOR to SSB-coated ssDNA involves the C terminus of SSB. When an SSB variant that lacks the C-terminal 8 amino acids is used, the capacity of RecOR to facilitate RecA loading onto the ssDNA is largely abolished. The results are used in an expanded model for RecOR action.
Citizenship Rights and Social Movements: A Comparative and Statistical Analysis

This text studies the relationship between social movements and citizenship rights. It identifies the main connections made between collective action and individual rights, in theory and history, and tests them in the context of modern authoritarian regimes. It does so by measuring both social mobilization and the presence of rights over time, and by analysing their mutual impact statistically - both within and across national cases. The results create a new perspective on democratic struggles in authoritarian conditions, and on processes of democratic transitions. The selected cases of Brazil, Chile, Mexico and Spain are similar enough to make comparisons possible, and different enough to make them interesting. Measuring mobilization and rights provides a comparative description of their forms and fluctuations, just as the statistical results promote a comparative analysis of their influence and interactions. The study uses statistical techniques, but employs them to illuminate historical processes. In sum, its quantitative methods work to enhance the qualitative inquiry, and together they come to constitute a robust defense of democracy as the direct result of collective struggles for individual rights.
Predicting Mn concentration in water reservoir using Artificial neural network ( Chahnimeh 1 reservoir , Iran )

Water samples were collected from Chahnimeh1 reservoir was the most important source of drinking water in Sistan-balochistan and analyzed for physical quality parameters including: EC(Electrical Conductivity), TDS(Total Dissolved Solids), T(Temperature), pH and Mn concentration using standard methods. In this study, a three-layer artificial neural network (ANN) model was investigated to predict the Mn concentration in water of Chahnimeh1 reservoir. The input variables are EC, TDS, T and pH while the Mn concentration in water is the output. The Levenberg–Marquardt (LM) algorithm was used to train ANN. The results showed that a network with 10 hidden neurons was highly accurate in predicting the Mn concentration. The mean squared error (MSE) and coefficient of correlation (R) between experimental data and model outputs were calculated as 0.0011 and 0.9515 for training, 0.0034 and 0.8934 for validation and 0.0033 and 0.8847 for testing date sets. It has been seen a good agreement between actual data and the ANN outputs for training, validation and testing data sets. The results indicated that the ANN model explained in this study is an applied tool to predict the Mn concentration.
What makes one person paranoid and another person anxious? The differential prediction of social anxiety and persecutory ideation in an experimental situation

Background In recent years a close association between anxiety and persecutory ideation has been established, contrary to the traditional division of neurosis and psychosis. Nonetheless, the two experiences are distinct. The aim of this study was to identify factors that distinguish the occurrence of social anxiety and paranoid thoughts in an experimental situation. Method Two hundred non-clinical individuals broadly representative of the UK general population were assessed on a range of psychological factors, experienced a neutral virtual reality social environment, and then completed state measures of paranoia and social anxiety. Clustered bivariate logistic regressions were carried out, testing interactions between potential predictors and the type of reaction in virtual reality. Results The strongest finding was that the presence of perceptual anomalies increased the risk of paranoid reactions but decreased the risk of social anxiety. Anxiety, depression, worry and interpersonal sensitivity all had similar associations with paranoia and social anxiety. Conclusions The study shows that social anxiety and persecutory ideation share many of the same predictive factors. Non-clinical paranoia may be a type of anxious fear. However, perceptual anomalies are a distinct predictor of paranoia. In the context of an individual feeling anxious, the occurrence of odd internal feelings in social situations may lead to delusional ideas through a sense of ‘things not seeming right’. The study illustrates the approach of focusing on experiences such as paranoid thinking rather than diagnoses such as schizophrenia.
Language Models for Searching in Web Corpora

We describe our participation in the TREC 2004 Web and Terabyte tracks. For the web track, we employ mixture language models based on document full-text, incoming anchortext, and documents titles, with a range of webcentric priors. We provide a detailed analysis of the effect on relevance of document length, URL structure, and link topology. The resulting web-centric priors are applied to three types of topics? distillation, home page, and named page? and improve effectiveness for all topic types, as well as for the mixed query set. For the terabyte track, we experimented with building an index just based on the document titles, or on the incoming anchor texts. Very selective indexing leads to a compact index that is effective in terms of early precision, catering for the typical web searcher behavior.
Rapid speaker adaptation using speaker clustering

This paper examines an approach to speaker adaptation called speaker cluster weighting (SCW) for rapid adaptation in the Jupiter weather information system. SCW extends the ideas of previous speaker cluster techniques by allowing the speaker cluster models (learned from training data) to be adaptively weighted to match the current speaker. We explore strategies for automatic speaker clustering as well as cluster model training procedures for use with this algorithm. As part of this exploration, we develop a novel algo-rithm called least squares linear regression (LSLR) clustering for the clustering of speakers for whom only a small amount of data is available.
Simulation of a DC chopper using single phase matrix converter topology

Choppers are widely used for traction motor control in electric automobiles and other electric transportation system. In those applications, control of dc motor's speed is required where the supply is dc or an ac voltage that has been rectified. This paper presents work on development of four quadrant DC chopper based on the SPMC topology, an advanced topology that hypothetically could perform many different converter functions. Prior to hardware implementation a computer simulation model was developed using the Power System Block Set (PSB) within the MATLAB/Simulink (MLS) environment, to study the behaviors of the proposed converter. Successful results presented are mainly due to the use of resistive load to reduce complexities. Results from PSB simulation are compared with those obtained from PSpice to ascertain its validity. The output is being synthesized using Pulse Width Modulation (PWM) technique. It is shown that the same SPMC topology could be used as a DC chopper extending the versatility of the topology a desirable feature in the future as increases in costs for skilled manpower could be traded-off with versatile technology.
Page segmentation for Manhattan and non-Manhattan layout documents via selective CRLA

The constrained run-length algorithm (CRLA) is a well-known technique for page segmentation. The algorithm is fast and can be used to partition documents with Manhattan layouts. It is not, however, suited to deal with pages with layouts beyond the Manhattan format, e.g. irregular halftone images embedded in text paragraphs. A modified version of the CRLA, named selective CRLA, is presented in this paper. The selective CRLA is capable of processing documents with both Manhattan and non-Manhattan layouts. The selective CRLA is performed twice with different sets of parameters on a label image derived from the input document image. After both of its executions, the yielded text regions are extracted. The proposed method has been successfully applied to extraction of text from commercial magazine pages with complicated layouts.
In the Bacillus stearothermophilus DnaB-DnaG Complex, the Activities of the Two Proteins Are Modulated by Distinct but Overlapping Networks of Residues

ABSTRACT We demonstrate the primase activity of Bacillus stearothermophilus DnaG and show that it initiates at 3′-ATC-5′ and 3′-ATT-5′ sites synthesizing primers that are 22 or 23 nucleotides long. In the presence of the helicase DnaB the size distribution of primers is different, and a range of additional smaller primers are also synthesized. Nine residues from the N- and C-terminal domains of DnaB, as well as its linker region, have been reported previously to affect this interaction. In Bacillus stearothermophilus only three residues from the linker region (I119 and I125) and the N-terminal domain (Y88) of DnaB have been shown previously to have direct structural importance, and I119 and I125 mediate DnaG-induced effects on DnaB activity. The functions of the other residues (L138, T191, E192, R195, and M196) are still a mystery. Here we show that the E15A, Y88A, and E15A Y88A mutants bind DnaG but are not able to modulate primer size, whereas the R195A M196A mutant inhibited the primase activity. Therefore, four of these residues, E15 and Y88 (N-terminal domain) and R195 and M196 (C-terminal domain), mediate DnaB-induced effects on DnaG activity. Overall, the data suggest that the effects of DnaB on DnaG activity and vice versa are mediated by distinct but overlapping networks of residues.
Study of phoconductive and electrical properties of AgInS2 thin films prepared by co-evaporation

AgInS2 (AIS) thin films with chalcopyrite type tetragonal structure were grown using a procedure based on the co-evaporation of their precursors in a two stage process. The effect of the evaporated mass of Ag to evaporated mass of In (mAg/mIn) ratio on the electrical transport properties was investigated through temperature dependent conductivity and Hall voltage measurements carried out in the range between 90K and 600K. The study revealed that the electrical conductivity of the AIS films is affected by hole transport in extended states of the valence band as well as by variable range hopping (VRH) transport mechanism. Transient photocurrent measurements, indicated that the electrical transport is affected by recombination processes via band to band transitions and trap assisted transitions, being the band to band recombination de dominant one. It was also found that the AgInS2 thin films present p-type conductivity, a high absorption coefficient (greater than 104 cm−1) and an energy band gap Eg of about 1.94 eV, indicating that this compound has good properties to perform as absorbent layer on the top cell in two junction tandem solar cells.
A Semantic Labeling of the Environment Based on What People Do

In this work, a system is developed for semantic labeling of locations based on what people do. This system is useful for semantic navigation of mobile robots. The system differentiates environments according to what people do in them. Background sound, number of people in a room and amount of movement of those people are items to be considered when trying to tell if people are doing different actions. These data are sampled, and it is assumed that people behave differently and perform different actions. A support vector machine is trained with the obtained samples, and therefore, it allows one to identify the room. Finally, the results are discussed and support the hypothesis that the proposed system can help to semantically label a room.