Miracle-dz/UniFAR-FTUs huggingface dataset:
Interaction of traffic police with motorized vehicle control by CCTV

The rapid technological developments can help traffic police in interacting with motor vehicle users on the highway. With the installation of closed circuit television (CCTV) so traffic disturbance and crime on the highway will be minimized because traffic flow can be monitored. If there is a traffic jam, then the traffic police officers will be able to cope. In other, if there is traffic light that goes out and accidents can be handled immediately. If there are criminal incidents on the highway can also be quickly known. The purpose of this research is to prevent and reduce crime and traffic accidents on the road with the installation of CCTV. The method used is empirical juridical, with primary and secondary data, and qualitative analysis presented descriptively. The result is that the installation of CCTV causes a significant reduction of crime. CCTV cameras mounted on red lights and busy intersections will provide information for traffic officers. It can also be combined with sensors that can capture vehicles that violate the maximum speed limit and also recording images proof with the date and time of the incident. accidents caused by drivers who break through red lights have decreased after the CCTV installation.
Voltage-dependent currents prolong single-axon postsynaptic potentials in layer III pyramidal neurons in rat neocortical slices.

1. Using isolated slices of rat cingulate and sensorimotor cortex, intracellular recordings were obtained from pyramidal neurons in layer III. Simultaneous extracellular recordings were obtained from neurons in ventral layer III and layer IV. Spike-triggered averaging was employed to investigate synaptic connections from neurons in layers III/IV to pyramidal cells in layer III. 2. Of 701 simultaneously recorded pairs of neurons, comprising 699 extracellularly and 128 intracellularly recorded neurons, synaptic connections were demonstrated in 30 pairs. Of these, 29 were excitatory postsynaptic potentials (EPSPs) and 1, an inhibitory postsynaptic potential (IPSP). Single-axon EPSPs with a wide variety of amplitudes were recorded: the range recorded at membrane potentials between -68 and -72 mV was 0.079-2.3 mV. Comparing recordings obtained from different cells, EPSP amplitude was found to be independent of both the membrane resistance of the postsynaptic neuron and the EPSP time course; i.e., the largest EPSPs were not necessarily those recorded from neurons with the highest input resistance, nor those with the briefest time course. 3. Shape indices: width at half amplitude and rise-time, indicative of both proximal and distal synaptic locations were obtained. Normalized rise-times were between 0.1 and 2 times the membrane time constant and half-widths between 0.8 and 20 times. 4. The majority of postsynaptic neurons displayed nonlinear voltage relations typical of pyramidal neurons, and the contribution to EPSP shape of voltage-dependent currents was investigated. EPSP amplitude and duration were found to be dependent on membrane potential. The majority of single-axon EPSPs (26 of 29), increased in amplitude and duration with membrane depolarization over the range -95 - -50 mV, despite the significant decrease in driving force for the EPSP that would be expected to accompany such large depolarizations. This increase coincided with an increase in the amplitude of voltage responses to small injected current pulses. 5. It is concluded that the amplitude and time course of single-axon EPSPs recorded in cortical pyramidal somata are affected not only by the amplitude of the postsynaptic current and the location(s) of the synapse(s) relative to the soma, but also by voltage-dependent currents. The possibility that the increase in amplitude and duration of these EPSPs with membrane depolarization is due to N-methyl-D-aspartate receptor involvement is discussed.
Differential binding of S-adenosylmethionine S-adenosylhomocysteine and Sinefungin to the adenine-specific DNA methyltransferase M.TaqI.

The crystal structures of the binary complexes of the DNA methyltransferase M.TaqI with the inhibitor Sinefungin and the reaction product S-adenosyl-L-homocysteine were determined, both at 2.6 A resolution. Structural comparison of these binary complexes with the complex formed by M.TaqI and the cofactor S-adenosyl-L-methionine suggests that the key element for molecular recognition of these ligands is the binding of their adenosine part in a pocket, and discrimination between cofactor, reaction product and inhibitor is mediated by different conformations of these molecules; the methionine part of S-adenosyl-L-methionine is located in the binding cleft, whereas the amino acid moieties of Sinefungin and S-adenosyl-L-homocysteine are in a different orientation and interact with the active site amino acid residues 105NPPY108. Dissociation constants for the complexes of M.TaqI with the three ligands were determined spectrofluorometrically. Sinefungin binds more strongly than S-adenosyl-L-homocysteine or S-adenosyl-L-methionine, with KD=0.34 microM, 2.4 microM and 2.0 microM, respectively.
Diaphragmatic eventration: Review of current knowledge, diagnostic, and management options

The diaphragmatic eventration [DE] is a rare pathology, commonly asymptomatic, but can result in dyspnea and recurrent respiratory infections. Can be caused can a congenital defect or be acquired by phrenic nerve injury. Your diagnosis occurs primarily through the visualization of the elevation of the diaphragmatic dome affected on chest xrays applied at random. Your management depends on the clinical symptoms, which if present, surgical treatment and minimally invasive techniques the procedure of choice.
Experimental verification of high frequency link DC-AC converter using pulse density modulation at secondary matrix converter

This paper verifies an isolated DC-AC power converter using a single phase to three phase matrix converter in experiment. A matrix converter does not require the large reactors and the large smoothing capacitors in a DC-link part. Furthermore, the proposed control method enables zero voltage switching of the matrix converter by implementing a phase shift control on the primary inverter and a pulse density modulation on the secondary matrix converter. In this paper, the fundamental operation of the converter is demonstrated by the experiment. From the experimental results, the total harmonic distortion in the output voltage is less than 5% in the entire range. In addition, a maximum efficiency of 90.9 % is achieved at an output power of 1.5kW.
Endoplasmic Reticulum Stress-Sensing Mechanism Is Activated in Entamoeba histolytica upon Treatment with Nitric Oxide

The Endoplasmic Reticulum stores calcium and is a site of protein synthesis and modification. Changes in ER homeostasis lead to stress responses with an activation of the unfolded protein response (UPR). The Entamoeba histolytica endomembrane system is simple compared to those of higher eukaryotes, as a canonical ER is not observed. During amoebiasis, an infection of the human intestine and liver by E. histolytica, nitric oxide (NO) triggers an apoptotic-like event preceded by an impairment of energy production and a loss of important parasite pathogenic features. We address the question of how this ancient eukaryote responds to stress induced by immune components (i.e. NO) and whether stress leads to ER changes and subsequently to an UPR. Gene expression analysis suggested that NO triggers stress responses marked by (i) dramatic up-regulation of hsp genes although a bona fide UPR is absent; (ii) induction of DNA repair and redox gene expression and iii) up-regulation of glycolysis-related gene expression. Enzymology approaches demonstrate that NO directly inhibits glycolysis and enhance cysteine synthase activity. Using live imaging and confocal microscopy we found that NO dramatically provokes extensive ER fragmentation. ER fission in E. histolytica appears as a protective response against stress, as it has been recently proposed for neuron self-defense during neurologic disorders. Chronic ER stress is also involved in metabolic diseases including diabetes, where NO production reduces ER calcium levels and activates cell death. Our data highlighted unique cellular responses of interest to understand the mechanisms of parasite death during amoebiasis.
Similarity of Chlamydia pneumoniae strains in the variable domain IV region of the major outer membrane protein gene

DNA was amplified by polymerase chain reaction from the gene encoding the major outer membrane protein (MOMP) of Chlamydia pneumoniae in order to examine the relatedness of strains isolated from diverse geographical regions. Primers for this reaction were chosen to span a 207-bp region comparable to that of the fourth variable segment of the MOMP gene of Chlamydia trachomatis. Among C. trachomatis, sequence heterogeneity is characteristic within variable sequence domain IV (VDIV) and correlates with serovar type. In contrast, sequence analysis of polymerase chain reaction products from 13 C. pneumoniae isolates indicated that all tested strains were identical in this segment of the MOMP gene. The predicted amino acid sequences from the C. pneumoniae VDIV gene products shared only 13.3 to 30% homology with published VDIV regions from serovars of C. trachomatis. Homology of these VDIV amino acid sequences with sequences from strains of C. psittaci ranged from 45.7 to 60%. The sequence conservation of the VDIV region of the MOMP gene indicates that C. pneumoniae strains may be more genetically homogeneous than C. trachomatis or Chlamydia psittaci strains. Future investigations of antigenic diversity among C. pneumoniae strains should be aimed at the evaluation of variation in other regions of the C. pneumoniae genome.
Applications of Potassium Permanganate in the Oxidative Degradation of Trichloroethylene

The scope of this study was to determine techniques to remediate trichloroethylene contamination under different environmental conditions, media and in co-existence with chromium. The specific objectives were focused on the oxidation of trichloroethylene (TCE) in soil and aqueous media using both unmodified KMnO4 particles and poly (methyl methacrylate), PMMA encapsulated KMnO4 in the presence and absence of hexavalent chromium, Cr(VI). Molar ratios (p-values) of KMnO4 to TCE were used as a determining factor in the TCE oxidation process. p-values of 2, 5 and 10 were investigated in aqueous media and an approximately 0.5 M-1·s-1 rate constant was obtained using unmodified KMnO4 in aqueous system. The extent of oxidation did not change with TCE concentration. In soil system, TCE oxidation requires a large amount of KMnO4 to produce similar results as in aqueous system. pH experiments indicate that except at high alkaline condition, pH does not impact the extent of TCE oxidation. Also, the presence of Cr(VI) did not hinder TCE oxidation by KMnO4. Using controlled release application, the rate of TCE oxidation was reduced by PMMA encapsulated KMnO4. Comparative study indicated an expectedly slow rate of TCE degradation using modified KMnO4 but similar overall extent of oxidation for both modified and unmodified KMnO4. The application of the encapsulated matrix yielded 88% ± 3% TCE oxidation and a simultaneous 81% ± 2.1% Cr(VI) reduction by ferrous ion in the same system.
The effects of pediatric epilepsy on a language connectome

This study introduces a new approach for assessing the effects of pediatric epilepsy on a language connectome. Two novel data‐driven network construction approaches are presented. These methods rely on connecting different brain regions using either extent or intensity of language related activations as identified by independent component analysis of fMRI. An auditory word definition decision task paradigm was used to activate the language network for 29 patients and 30 controls. Evaluations illustrated that pediatric epilepsy is associated with a network efficiency reduction. Patients showed a propensity to inefficiently use the whole brain network to perform the language task; whereas, controls seemed to efficiently use smaller segregated network components to achieve the same task. To explain the causes of the decreased efficiency, graph theoretical analysis was performed. The analysis revealed substantial global network feature differences between the patients and controls for the extent of activation network. It also showed that for both subject groups the language network exhibited small‐world characteristics; however, the patient's extent of activation network showed a tendency toward randomness. It was also shown that the intensity of activation network displayed ipsilateral hub reorganization on the local level. We finally showed that a clustering scheme was able to fairly separate the subjects into their respective patient or control groups. The clustering was initiated using local and global nodal measurements. Compared to the intensity of activation network, the extent of activation network clustering demonstrated better precision. This ascertained that the network differences presented by the networks were associated with pediatric epilepsy. Hum Brain Mapp 35:5996–6010, 2014. © 2014 Wiley Periodicals, Inc.
Place-centric Visual Urban Perception with Deep Multi-instance Regression

This paper presents a unified framework to learn to quantify perceptual attributes (e.g., safety, attractiveness) of physical urban environments using crowd-sourced street-view photos without human annotations. The efforts of this work include two folds. First, we collect a large-scale urban image dataset in multiple major cities in U.S.A. , which consists of multiple street-view photos for every place. Instead of using subjective annotations as in previous works, which are neither accurate nor consistent, we collect for every place the safety score from government's crime event records as objective safety indicators. Second, we observe that the place-centric perception task is by nature a multi-instance regression problem since the labels are only available for places (bags), rather than images or image regions (instances). We thus introduce a deep convolutional neural network (CNN) to parameterize the instance-level scoring function, and develop an EM algorithm to alternatively estimate the primary instances (images or image regions) which affect the safety scores and train the proposed network. Our method is capable of localizing interesting images and image regions for each place. We evaluate the proposed method on a newly created dataset and a public dataset. Results with comparisons showed that our method can clearly outperform the alternative perception methods and more importantly, is capable of generating region-level safety scores to facilitate interpretations of the perception process.
Image Super-Resolution Using Compressed Sensing Based on Learning Sub Dictionary

Many applications have benefited remarkably from high resolution (HR) imaging models such as, astronomical and biomedical imaging system. In recent years, image enhancement and resolution approach has been embark the great result, and received great deal of attention of the researcher, and many researchers have proposed several methods to achieve the goal of high resolution image. In this paper an efficient method of high resolution image based on the concept of Compressed Sensing (CS) have been introduced, which uses sub dictionary instead of redundant dictionary and traditional orthogonal basis. The new framework is consisted of three phases. Firstly, we designed the sub dictionary that are learned from a range of datasets of high quality patches and then selected adaptively. Secondly, Principal Component Analysis (PCA) has been applied to each data sets of the high quality patches to evaluate the principal component from which the dictionary is constructed. Finally, the HR image is generated by averaging all high resolution patches. In addition, the proposed method has been demonstrated better results on real images in terms of peak to signal and noise ratio (PSNR), structural similarity (SSIM) and root mean square error (RMSE). Furthermore, our method has been evaluated by deriving the modulation transfer function (MTF), the MTF curve showed better reconstruction of HR image and achieved various improvements compared with other methods. Key-Words: Compressed Sensing, Compact Dictionary, Image Resolution, Modulation Transfer Function, Principal Component Analysis (PCA)
A Tactical Framework for Market Penetration with a Multidimensional Organization

A critical element to the growth opportunities in existing markets and new markets in neighboring sectors is penetration strategies. An entrepreneurial business that is interested in leveraging synergies to grow profitability must understand the dynamic nature of the market so that a suitable strategic posture can be taken. This strategy could be driven by tactical and deliberate action, or another exogenous force. The opportunities are there in many sectors and customers of multinational enterprises (MNE’s) exist almost everywhere. Cross border B2C e-commerce is expected to double by 2022 according to Forrester Research. So, how do MNE’s efficiently penetrate within segments and across geographic markets? Scaling opportunities exist across a multidimensional design (MDD) and the synergy opportunities between sites. This article describes methods and capabilities of market penetration ideally suited for an MDD. These themes emerged in the data when MDD leaders were asked about the roles of each function. In this case study an MNE utilized a multidimensional organization design to reach customers in many parts of the world. The author presents findings from this case and ultimately extracts ten propositions to guide client penetration strategy. Absent these measures, risk of revenue loss is enhanced significantly.
Fusion d'informations pour la reconnaissance automatique d'adresses postales dans le cadre de la théorie des fonctions de croyance

Dans ce memoire, un probleme de fusion de decisions postales est presente. Une des caracteristiques de ce probleme reside dans l'organisation hierarchique des decisions, chaque lecteur d'adresses postales pouvant fournir une decision d'un niveau quelconque dans la hierarchie. Plusieurs modeles de fusion de decisions postales sont construits dans le cadre de la theorie des fonctions de croyance. Des methodes de construction d'une fonction de croyance a partir d'une matrice de confusion et d'une hierarchie, sont exposees, ainsi que la methode de prise de decision permettant un ajustement de la combinaison aux contraintes de taux de lecture et taux d'erreur attendues par l'utilisateur. Des performances probantes sont obtenues par ces modeles. Sur le plan theorique, de nouveaux outils de manipulation de fonctions de croyance ont ete developpes afin d'exploiter plus finement des informations sur la fiabilite des sources a combiner. Par l'affaiblissement contextuel, la dependance au contexte de la fiabilite peut etre prise en compte. Par le mecanisme general de correction propose, differents etats de fiabilite peuvent etre modelises, ce qui permet de developper des strategies de correction autres qu'un affaiblissement.
The Optimization Design and Motion Characteristic Experiment of PMLSM Based on GA and TwinCAT

By analyzing the specific location of a new permanent magnet synchronous linear motor (PMSLM) for the project needs of the national high tech research and development program, the subject establishes the motor mathematical model with the equivalent circuit method. In order to reduce the thrust ripple and increase the power density of PMSLM, the parameters of the motor can be optimized to get the best through the genetic algorithm. By comparing the push force experiment based on LabVIEW with the finite element simulation analysis (FEA) and the motion control experiments based on TwinCAT NC have verified the robustness, validity and reliability of the optimization design of PMLSM. At the same time, the motor has some advantages of less thrust fluctuation, good economy, small size, etc., and accords with the actual needs of the project.
Antimicrobial peptides: therapeutic potential for the treatment of Candida infections

The increasing frequency of fungal infections in immunocompromised patients together with the emergence of strains resistant to currently used antifungal drugs point to an increased need for a new class of antimycotics. Antimicrobial peptides are promising candidates for the treatment of fungal infections since they have both mechanisms of action distinct from available antifungal agents and the ability to regulate the host immune defence systems as well. This review focuses on Candida albicans as a large amount of work on the mechanisms of action of classical antifungals as well as antimicrobial peptides, such as defensins, protegrins, histatins and lactoferrin (LF)-derived peptides, has been performed in this yeast. Analogues of these antimicrobial peptides and combinations of antimicrobial peptides with classical antimycotics are under investigation for treatment of candidiasis.
Two-dimensional gel electrophoresis and immunoblotting of Campylobacter pylori proteins

Whole-cell, outer-membrane protein, flagellum-associated antigens and partially purified urease of Campylobacter pylori were analyzed by two-dimensional gel electrophoresis. C. pylori strains were readily distinguished from strains of Campylobacter jejuni, C. coli, and C. fetus by absence of major outer membrane proteins with Mrs of 41,000 to 45,000. C. pylori strains also lacked the acidic surface-array proteins at Mr 100,000 to 149,000 identified previously in serum-resistant strains of C. fetus. Surface labeling of intact C. pylori cells with 125I revealed two common major proteins, which we have designated protein 2 (pI 5.6 to 5.8, Mr 66,000) and protein 3 (pI 5.2 to 5.5, Mr 63,000). Proteins 2 and 3 were also the major components (subunits) observed in partially purified urease. Partially purified preparations of flagella consistently contained proteins 2 and 3. Thus, urease appears to be associated with both outer membranes and flagella of C. pylori. C. pylori strains also possessed an antigen at Mr 59,000 which was cross-reactive with antiserum against flagella of C. jejuni. However, the antigen did not appear to be associated with flagella per se in C. pylori. Protein 2 was unique to C. pylori among the Campylobacter species studied. It was not recognized by antibody against whole cells of C. jejuni or C. fetus or flagella of C. jejuni. Protein 3 was cross-reactive with antiserum against whole cells of C. jejuni and C. fetus, as were several other major protein antigens. Because protein 2 is a major outer membrane protein that is apparently unique to C. pylori, development of monospecific antibodies against this antigen may be useful for the identification of C. pylori in tissues, and purified antigen may be useful for serologic tests for specific diagnosis of C. pylori infections.
Tumbling Titans? The Changing Patterns of Price Discovery in the U.S. Equity Market

After the implementation of Regulation NMS in 2007, the U.S. equity market became highly fragmented. The traditional exchanges, in particular the New York Stock Exchange (NYSE), lost substantial trading volume to the off-exchange market. We investigate the extent to which this development has been accompanied by a fragmentation of price discovery across established exchanges and off-exchange trading venues. The results of analyzing high frequency data of 91 U.S. stocks over a period of six years show that the contribution of the NYSE to price discovery has sharply declined; as of 2012, it even was overtaken by the Nasdaq. Trading in the off-exchange market also contributes to price discovery with rapidly increasing shares. Using daily estimates, we document a positive link between liquidity and price discovery contributions and offer evidence that liquidity Granger-causes price discovery for NYSE, Nasdaq, and trades reported through trade-reporting facilities.