Miracle-dz/UniFAR-FTUs huggingface dataset:
Spatial and Temporal Resolution of Global Protein Synthesis during HSV Infection Using Bioorthogonal Precursors and Click Chemistry

We used pulse-labeling with the methionine analogue homopropargylglycine (HPG) to investigate spatiotemporal aspects of protein synthesis during herpes simplex virus (HSV) infection. In vivo incorporation of HPG enables subsequent selective coupling of fluorochrome-capture reagents to newly synthesised proteins. We demonstrate that HPG labeling had no effect on cell viability, on accumulation of test early or late viral proteins, or on overall virus yields. HPG pulse-labeling followed by SDS-PAGE analysis confirmed incorporation into newly synthesised proteins, while parallel processing by in situ cycloaddition revealed new insight into spatiotemporal aspects of protein localisation during infection. A striking feature was the rapid accumulation of newly synthesised proteins not only in a general nuclear pattern but additionally in newly forming sub-compartments represented by small discrete foci. These newly synthesised protein domains (NPDs) were similar in size and morphology to PML domains but were more numerous, and whereas PML domains were progressively disrupted, NPDs were progressively induced and persisted. Immediate-early proteins ICP4 and ICP0 were excluded from NPDs, but using an ICP0 mutant defective in PML disruption, we show a clear spatial relationship between NPDs and PML domains with NPDs frequently forming immediately adjacent and co-joining persisting PML domains. Further analysis of location of the chaperone Hsc70 demonstrated that while NPDs formed early in infection without overt Hsc70 recruitment, later in infection Hsc70 showed pronounced recruitment frequently in a coat-like fashion around NPDs. Moreover, while ICP4 and ICP0 were excluded from NPDs, ICP22 showed selective recruitment. Our data indicate that NPDs represent early recruitment of host and viral de novo translated protein to distinct structural entities which are precursors to the previously described VICE domains involved in protein quality control in the nucleus, and reveal new features from which we propose spatially linked platforms of newly synthesised protein processing after nuclear import.
Confronting School: Immigrant Families, Hope, Education

ABSTRACT While children remain at the center of families’ decisions to emigrate, the global contexts and technologies that allow diasporas to remain connected to their cultures have influenced families’ aspirations in relation to their children’s education. This article presents data from a qualitative study on how immigrant families negotiate the schooling of their children in Australia. Findings highlight there are incongruencies between immigrant parents’ understanding of education and what the Australian public school system offers. This clash is combined with parents’ determination to reinforce their culture at home, which is usually overridden by schools’ standardization of practices and values. The study suggests there is a need to better understand the range of experiences and expectations that immigrant families bring to schools for educational institutions to be more attuned with an increasingly diverse, mobile, and mediatically interconnected population.
SATELLITE ATTITUDE TRACKING BY QUATERNION-BASED BACKSTEPPING

Abstract In this paper a result on attitude tracking control of a micro satellite by integrator backstepping based on quaternion feedback is presented, and the controller is shown to render the system equilibrium point UGAS by application of the LaSalle-Yoshizawa theorem. This is a part of a study of possible control methods for the spacecraft ESEO, a spacecraft included in the SSETI project initiated by ESA. ESEO is actuated by four reaction control thrusters and one reaction wheel, and simulation results based on data from the satellite are presented.
Experimental evaluation of switching characteristics, switching losses and snubber design for a full SiC half-bridge power module

This paper analyzes the switching performance of the full SiC half-bridge power module BSM120D12P2C005 from Rohm Semiconductor. It investigates if the combination of a DC snubber and a turn-off snubber helps to reduce sufficiently the electrical stresses on hard-switching power modules. Simulations in LTspice IV and laboratory experiments give the basis for the analysis. Standard double-pulse tests of the module are conducted at different drain currents. This makes it possible to analyze the switching characteristics and the total switching losses of the SiC module. Simulations in LTspice are used in order to investigate if the use of suitable snubber circuits improves the switching transients. The performance of these snubbers is tested and verified through laboratory experiments. It is shown in both simulations and laboratory experiments that a simple and well-known DC snubber circuit for half-bridge configurations attenuates ringing without reducing the voltage overshoot. In order to suppress this extensive voltage overshoot to an acceptable level during device turn off, a turn-off snubber must be added to the circuit. It is found that this solution does not increase the switching losses significantly.
Software Development and Trade

We develop a model to study the implications of a legal environment on software development and international trade. We show that the degree of contract enforcement a®ects the organizational mode (i.e., in-house or outsourcing) of customized software development. In autarky, a country with weak copyright protection develops customized software only, while a country with strong copyright protection develops both customized software and packaged software. After opening to trade, the strong-copyright-protecting country exports packaged software and the weak-copyright-protecting country exports customized software.
Oryza sativa H+-ATPase (OSA) is Involved in the Regulation of Dumbbell-Shaped Guard Cells of Rice

The stomatal apparatus consists of a pair of guard cells and regulates gas exchange between the leaf and atmosphere. In guard cells, blue light (BL) activates H+-ATPase in the plasma membrane through the phosphorylation of its penultimate threonine, mediating stomatal opening. Although this regulation is thought to be widely adopted among kidney-shaped guard cells in dicots, the molecular basis underlying that of dumbbell-shaped guard cells in monocots remains unclear. Here, we show that H+-ATPases are involved in the regulation of dumbbell-shaped guard cells. Stomatal opening of rice was promoted by the H+-ATPase activator fusicoccin and by BL, and the latter was suppressed by the H+-ATPase inhibitor vanadate. Using H+-ATPase antibodies, we showed the presence of phosphoregulation of the penultimate threonine in Oryza sativa H+-ATPases (OSAs) and localization of OSAs in the plasma membrane of guard cells. Interestingly, we identified one H+-ATPase isoform, OSA7, that is preferentially expressed among the OSA genes in guard cells, and found that loss of function of OSA7 resulted in partial insensitivity to BL. We conclude that H+-ATPase is involved in BL-induced stomatal opening of dumbbell-shaped guard cells in monocotyledon species.
An Optoelectromechanical Tactile Sensor for Detection of Breast Lumps

We developed a compact tactile imaging (TI) system to guide the clinician or the self-user for noninvasive detection of breast tumors. Our system measures the force distribution based on the difference in stiffness between a palpated object and an abnormality within. The average force resolution, force range, and the spatial resolution of the device are 0.02 N, 0-4 N, and 2.8 mm, respectively. To evaluate the performance of the proposed TI system, compression experiments were performed to measure the sensitivity and specificity of the system in detecting tumor-like inclusions embedded in tissue-like cylindrical silicon samples. Based on the experiments performed with 11 inclusions, having two different sizes and two different stiffnesses located at three different depths, our TI system showed an average sensitivity of 90.8 ± 8.1 percent and an average specificity of 89.8 ± 12.7 percent. Finally, manual palpation experiments were performed with 12 human subjects on the same silicon samples and the results were compared to that of the TI system. The performance of the TI system was significantly better than that of the human subjects in detecting deep inclusions while the human subjects performed slightly better in detecting shallow inclusions close to the contact surface.
Thyrix : A simulator for articulated agents capable of manipulating objects

This paper describes a new simulator, Thyrix, designed for embodied cognitive science research. The simulator supports 2D agents having articulated arms, capable of manipulating objects from the environment and also of moving in the environment. The agents have sensors for vision, proprioception, and also tactile sensors distributed on the surface of their body. The simulator supports contact detection and resolution, and friction. It uses a simplified, Aristotelian mechanics, but can be easily extended to classical, Newtonian mechanics (and also to 3D). We present reasons for using such a simulator and describe design and implementation characteristics.
Post-Attack Detection Using Log Files Analysis

Security has become a most important issue in recent years, for that much intrusion detection systems have been proposed. Though there are lots of systems available we still need a system which will timely detect the intrusions. Proposed system is a host based intrusion detection system can be called is Post-Attack intrusion detection. We are investigating the system log files which contain the log of all system calls. The system has two main features. 1) It reduces the time to locate a particular log with intruder activities by factoring it. 2) A classifier which will classify the normal behaviour form malicious one. To factor the log files sequitur method is used which will reduce the size of log, and a classifier is the main part of system which is using a HMM (Hidden Markov Model) and k-means to classify normal and abnormal behaviour.
Optimizing run-time SOA governance through context-driven SLAs and dynamic monitoring

End-users increasingly demand the provisioning of secure, scalable, reliable, flexible, resilient, and cost-efficient infrastructures, platforms, and software. However, the preservation of these properties, particularly in SOA and cloud environments, is extremely affected by distributed, heterogeneous, transient, and volatile context information. We envision the implementation of governance feedback loops, an innovative approach that equips service-oriented systems with run-time governance capabilities able to control the fulfillment of service level agreements (SLA) under changing execution environments. However, the effectiveness of our approach depends on the capability of governance infrastructures to guarantee the consistency between monitoring strategies, governance objectives, and context situations. To advance our vision, this paper proposes (i) contextual RDF graphs, a machine-readable specification of monitoring requirements that enable governance feedback loops with dynamic context monitoring capabilities; and (ii) context-driven SLAs, an extension of SLAs where context requirements are explicitly mapped to service level objectives (SLO) to optimize the run-time control of contracted obligations.
Rapid Communications in Mass Spectrometry

The isotopic composition, e.g. of matter elements is heterogeneous. It is ruled by physical, chemical and biological mechanisms. Isotopes thus be enable to follow the fate of mineral and organic compounds during biogeochemical transformations. The determination of the isotopic composition of organic substances occurring at trace level into very complex mixtures such as sediments, soils and blood, has been made possible during the last 20 years due to the rapid development of molecular level isotopic techniques. After a brief glance at pioneer studies revealing isotopic breakthroughs the molecular and intramolecular levels, this paper reviews selected applications of compound-specific isotope analysis in various scientific fields.
Adaptive control of flexible beam with friction in the hub

This paper deals with the adaptive control of a flexible beam system with considering the unknown friction in the driving motor in state space form. By introducing an important lemma and dual friction observers, a robust adaptive control scheme is developed by involving the dynamic friction compensation term. The new adaptive control law ensures global stability of the entire system and achieves desired tracking precision even when the frictions are totally unknown. Simulations performed on a typical flexible beam system illustrate and clarify the validity of this approach.
IAPT: Improving Access to Psychiatric Training. CBT delivery by junior psychiatrists in primary care is good for the service, good for training and good for patients

Abstract The feasibility and effectiveness of trainee psychiatrists providing CBT in primary care was assessed by a triangulated procedure of service overview, trainee feedback and assessment of clinical measures. Hitherto trainees sought ‘suitable’ cases by individual request. In the primary-care setting: 82% of 11 trainees (50% previously) completed a ‘short case’ treatment within a 6-month attachment; 86% of trainees found the level of supervision ‘about right’; depression and anxiety scores for patients (n = 16) achieved statistically significant gains and showed moderate to large effect sizes. Although there was no comparator group, findings were just above the IAPT aim of a 50% recovery. Conclusions are that completion of their ‘short case’ experience within a 6-month attachment is feasible in a primary-care setting. Evidence that patients and the service also benefited demonstrates this to be good and ethical ‘business’ for the service provider. Integrating these skills into routine medical psychiatric practice may remain a later supervision need. Other training experiences including psychological treatments could initially be best met in less testing clinical encounters than those experienced in secondary care. Locally agreed formal arrangements would facilitate this and there is potential for the development of greater cross-service understanding in the longer term.
Summarizing Meeting Transcripts Based on Functional Segmentation

In this paper, we aim to improve meeting summarization performance using discourse specific information. Since there are intrinsically different characteristics in utterances in different types of function segments, e.g., Monologue segments versus Discussion ones, we propose a new summarization framework where different summarizers are used for different segment types. For monologue segments, we adopt the integer linear programming-based summarization method; whereas for discussion segments, we use a graph-based method to incorporate speaker information. Performance of our proposed method is evaluated using the standard AMI meeting corpus. Results show a good improvement over previous state-of-the-art algorithms according to various evaluation metrics and different compress ratios.
Combining Spatial Extent and Peak Intensity to Test for Activations in Functional Imaging

Within the framework of statistical mapping, there are up to now only two tests used to assess the regional significance in functional images. One is based on the magnitude of the foci and tends to detect high intensity signals, while the second is based on the spatial extent of regions defined by a simple thresholding of the statistical map, a test that is more sensitive to extended signals. The aim of this paper is to combine the two tests into a single test that is more sensitive to a wider range of signals. This combined test is based on an analytical approximation of the distribution of these two parameters (size and height) and is applied in the context of statistical maps. The risk of error in noise-only 2D or 3D volumes is assessed under a wide range of experimental conditions obtained by varying both the resolution of the map and the threshold at which clusters are defined. In addition, we have investigated this new test on simulated signals, and applied it to an experimental PET dataset. The experimental risk of error is close to the predicted one, and the overall sensitivity increases when analyzing a volume containing different types of signals.
The Detectability of Neon Fluorescence and Measurement of the Solar Photospheric Neon Abundance

Monte Carlo calculations of the Ne Kα line fluoresced by coronal X-rays and emitted near the temperature minimum region of the solar atmosphere have been employed to investigate the use of this feature to measure directly the solar photospheric Ne abundance. Although very weak, comparison with spectral line databases indicates that at plasma temperatures typical of the quiet Sun and cool active regions (≤2 × 106 K) the line is isolated and unblended. A canonical solar chemical composition yields an equivalent width of ~6 mÅ (0.3 eV) when observed at heliocentric angles ~0. For a 1' field of view, photon fluxes at Earth are of order 0.2 photons s-1 for the quiet Sun, rendering the Ne Kα fluorescent line a quite feasible means for determining the solar photospheric Ne content.
The Research of Granular Computing Applied in Image Mosaic

This article proposes a new characteristic-based image mosaic algorithm that used the granular computing theory. Firstly, establish a granular computing model of the image waiting to be spliced to obtain the image's edge segmentation; Secondly, extract the characteristic points in the edge graph, then carry on the related operation to these characteristic points to find matching characteristic points, and eliminate the mismatches to find the most superior matching characteristics; Thirdly, work out the spot transformation relations of two images according to the matching characteristic points, and mapped the two images on the same geometric plane surface by transformation matrix; Finally, smooth transition processing will be carried on the overlapped region to achieve the purpose of seamless image mosaic. The experimental result indicates that the algorithm in this article is a stable and steady method that superior than the traditional algorithm, and it gets well effectiveness.
Nonalcoholic Fatty Liver Disease for Identification of Preclinical Carotid Atherosclerosis

Abstract Nonalcoholic fatty liver disease (NAFLD) is associated with cardiovascular disease, yet whether identification of NAFLD in asymptomatic individuals is helpful over established risk factors remains unknown. A total of 37,799 asymptomatic adults aged 20 years or older who underwent comprehensive health check-up examination, including abdominal and carotid artery duplex ultrasonography (US) were included in the analysis. Nonalcoholic fatty liver disease was diagnosed with US and exclusion of secondary causes of fat accumulation or other causes of chronic liver disease, and graded as mild or moderate to severe fatty liver. Individuals with carotid plaque identified on carotid artery US were considered at risk for cardiovascular disease. Metabolic syndrome (MetS) was defined by the adult treatment panel III criteria. Nonalcoholic fatty liver disease was an independent factor associated with carotid plaque in a dose-dependent manner (odds ratio [OR]; 95% confidence interval [CI]: 1.09 [1.03–1.16] and 1.13 [1.06–1.21] for mild and ≥ moderate degree of NAFLD). Among clinically-relevant subgroups, NAFLD was more closely associated with carotid plaque in young adults (aged < 60 years) without MetS (OR [95% CI]: 1.13 [1.03–1.19] and 1.16 [1.06–1.27] for mild and ≥ moderate degree of NAFLD) than old adults (aged ≥ 60 years) or with MetS (OR [95% CI]: 1.06 [0.97–1.17] and 1.07 [0.97–1.19] for mild and ≥ moderate degree NAFLD). In young adults without MetS, the prevalence of carotid plaques was 32.8% and the sensitivity and specificity of NAFLD for carotid plaque was 0.38 and 0.67, respectively. In conclusion, NAFLD is associated with carotid plaque independent of traditional risk factors, especially in young adults without MetS. Nonalcoholic fatty liver disease could help identify additional individuals with preclinical atherosclerosis in asymptomatic young adults without MetS, yet, showed suboptimal performance as a screening tool.
Phosphodiesterase Type 4D Gene Polymorphism: Association with the Response to Short-Acting Bronchodilators in Paediatric Asthma Patients

Short-acting b2-adrenergic receptor agonists are commonly used bronchodilators for symptom relief in asthmatics. The aim of this study was to test whether genetic variants in PDE4D gene, a key regulator of b2-adrenoceptor-induced cAMP turnover in airway smooth muscle cells, affect the response to short-acting b2-agonists. Bronchodilator responsiveness was assessed in 133 asthmatic children by % change in baseline forced expiratory volume in one second (FEV1) after administration of albuterol. The analyses were performed in patients with airway obstruction (FEV1/FVC ratio below 90%, n = 93). FEV1 % change adjusted for baseline FEV1 values was significantly different between genotypes of rs1544791 G/A polymorphism (P = 0.006) and −1345 C/T (rs1504982) promoter variation (P = 0.03). The association remained significant with inclusion of age, sex, atopy, and controller medication into multivariate model (P = 0.004 and P = 0.02, resp.). Our work identifies new genetic variants implicated in modulation of asthma treatment, one of them (rs1544791) previously associated with asthma phenotype.
Internet of Things (IoT) based Smart Environment integrating various Business Applications

of Things (IoT) plays a vital role in Next Generation Networks. Ample number of research works in IoT is carried out in developing countries like India. Research and Development units of industries are working on connecting tiny devices and objects to infer and to measure environmental and ecological resources. Domestic applications are also in line with this research. This paper proposes an integrated smart environment based on IoT. Several sectors like agriculture, security and emergency, banking, Surveillances, meteorology, health care, education, government - e services, domestic appliances monitoring, traffic surveillance are integrated and the various objects and devices are connected using RFID technology. This paper also deals with how various sectors are connected by means of RFID technology and sensor networks. It also brings forth an idea of establishing IoT information Kendra which infers and processes the data extracted by the various sectors in the smart environment. Functioning of a cloud application based computing and data centre and an administration and management centre attached to IoT information Kendra is also discussed. Keywordsof Things (IoT), RFID, IoT Information Kendra,
Effect of Every Other Furrow Irrigation and Planting Density on Physiological Traits in Corn (Zea mays L.)

In order to study physiological response of corn (Zea mays L.) to drought stress under usual methods of surface irrigation, three irrigation methods viz. conventional furrow irrigation (CFI), fixed every other furrow irrigation (FFI) and alternate every other furrow irrigation (AFI) and different plant densities were evaluated on antioxidants, photosynthetic pigments and nitrogen components as farm experiment in Khorramabad, Iran. Result showed that using every other furrow irrigation (FFI and AFI) caused water stress in corn and decreased photosynthetic pigments (chlorophyll a, chlorophyll b and chlorophyll a+b) and soluble protein, but antioxidants (Catalase and peroxidase) and proline activity as biochemical markers for water stress raised in drought condition. Plant density had no significant effect on these traits.