Miracle-dz/UniFAR-FTUs huggingface dataset:
Features of the Mechanisms of Conductivity of the Electrorheological Fluids With Double Doped TiO2 Particles Under External Temperature Effects

Electrophysical and rheological characteristics of ER fluids with TiO2 particles doped with alumi-num and phosphorus and having anatase structure are considered in an extended temperature range (5 - 100 ° C). The mechanisms of leakage currents in the ER fluid in electric fields up to 3.5 kV/mm are determined. Conduction mechanisms such as thermionic ionization, electron injection from an electrode, thermal excitation of charges, field emission of electrons from an electrode, thermionic emission of electrons from an electrode, and field emission of electrons from traps are identified. Based on the analysis of the current-voltage characteristics of the ER fluid, the positive role of the additional doping of the dispersed phase particles with phosphorus compared with the known results for ER fluid with TiO2/Al particles was established. The use of double doping of particles of the dispersed phase made it possible to obtain stable dependences of the shear stress of electrorheological fluids on the electric field strength in the range of the temperature effects under study.
The Validation of the Free Fantasy Questionnaire for Children and Adolescents: From Imaginary Playmate to “Dreamtime”

Fantasy in children is a precocious and important skill. In normal subjects some imaginative events, very close to hallucinations (perception-like experiences), have been found. Therefore, a better knowledge on both fantasy and the difference between imagination and the external world is needed. The aims of this study are: (a) to validate a new questionnaire for fantasy in children and adolescents; (b) to test its clinical application in ADHD children. 1.707 participants aged 8–18 years were enrolled: 1557 were recruited from a survey in six schools, whereas 150 participants were recruited in an ADHD Center. They filled out a new questionnaire, the Free Fantasy Questionnaire for Children and Adolescents, FFQ. Statistical analyses were performed to validate the FFQ and to study five parameters of fantasy. Analyses showed good properties of the FFQ as regards factor structure and reliability. Descriptive analysis showed that: 10% of the adolescents frequently have fantasy with paracosmos and 9.5% sometimes have a fantasy with imaginary relatives. Moreover, in the 64.3% of participants of primary school, in the 34.5% of lower-secondary, and in the 27.4% of upper-secondary school Perception-like experiences, involving invisible but real personages, were found. Quality of fantasy and Lack of control on imagination are correlated with a high score in the Reality/Unreality Dimension and Perception-like experiences. As regards ADHD participants, the 40% of the group showed Perception-like experiences: the 21.66% of them reported a very high score in the dimension Reality/Unreality, have some dissociative symptoms, and the 3.33% presented a clear dissociative identity disorder. All were free from psychosis or neurologic disorders. A new questionnaire to study fantasy in children and adolescents was validated. Many children and adolescents of the general population declared Perception-like experiences. These events seem to be specific, and probably normal, features of the mind; they could be better named as “Dreamtime,” whereas only in extreme conditions they could represent a risk for dissociation.
Hα Nuclear Geyser (Bipolar Outflow) from the Barred Galaxy NGC 1415

A long-slit spectrum from the barred galaxy NGC 1415 (ESO 482-G033) has been obtained with the 2.1 m Guillermo Haro telescope in Cananea, México, at position angle ∼155° and shows the kinematics of Na i D lines (in absorption) and Hαλ6562. 8 Å, [N ii] λ6548 Å, [N ii] λ6584 Å, [S ii] λ6716 Å, and [S ii] λ6731 Å lines in emission from the central regions and the disk. Our previous Hα continuum-free imaging of the central region showed mainly two central bright Hα knots straddling the nucleus, and Hα emission regions along the southeast and northwest inner spiral arms. Velocities of the Na i D absorption lines are taken as representative of the rotation curve of NGC 1415. Our kinematical data indicates that the central bright Hα straddling the nucleus have velocities in excess of the Na i D velocities. We interpret these velocity excesses of the central bright Hα knots as being due to a geyser (bipolar outflow) with Voutflow ∼ 140 km s−1 at a P.A. +165°. The axis of this outflow is not along the rotation axis of the disk of NGC 1415 (if it were, it would be at P.A.+238°). Additionally, we determined Ωgas, radial resonances κ(R), and estimated the value of the pattern angular speed of an inner boxy stellar bar in NGC 1415, Ωbar, from the Na i D rotation curve assuming  = 1 , Ωbar ∼ 134 km s−1 kpc−1.
All’s Bad That Ends Bad: There Is a Peak-End Memory Bias in Anxiety

The peak-end memory bias has been well documented for the retrospective evaluation of pain. It describes that the retrospective evaluation of pain is largely based on the discomfort experienced at the most intense point (peak) and at the end of the episode. This is notable because it means that longer episodes with a better ending can be remembered as less aversive than shorter ones; this is even if the former had the same peak in painfulness and an overall longer duration of pain. Until now, this bias has not been studied in the domain of anxiety despite the high relevance of variable levels of anxiety in the treatment of anxiety disorders. Therefore, we set out to replicate the original studies but with an induction of variable levels of anxiety. Of 64 women, half watched a clip from a horror movie which ended at the most frightening moment. The other half watched an extended version of this clip with a moderately frightening ending. Afterward, all participants were asked to rate the global anxiety which was elicited by the video. When the film ended at the most frightening moment, participants retrospectively reported more anxiety than participants who watched the extended version. This is the first study to document that the peak-end bias can be found in the domain of anxiety. These findings require replication and extension to a treatment context to evaluate its implications for exposure therapy.
Caloric Restriction Alters Postprandial Responses of Essential Brain Metabolites in Young Adult Mice

Caloric restriction (CR) has been shown to extend longevity and protect brain function in aging. However, the effects of CR in young adult mice remain largely unexplored. In addition to the fundamental, long-term changes, recent studies demonstrate that CR has a significant impact on transient, postprandial metabolic flexibility and turnover compared to control groups. The goal of this study was to identify the brain metabolic changes at a transient (2 h) and steady (6 h) postprandial state in young mice (5–6 months of age) fed with CR or ad libitum (AL; free eating). Using metabolomics profiling, we show that CR mice had significantly higher levels of neurotransmitters (e.g., glutamate, N-acetylglutamate), neuronal integrity markers (e.g., NAA and NAAG), essential fatty acids (e.g., DHA and DPA), and biochemicals associated carnitine metabolism (related to reduced oxidative stress and inflammation) in the cerebral cortex and hippocampus at 2-h. These biochemicals remained at high levels at the 6-h postprandial time-point. The AL mice did not show the similar increases in essential fatty acid and carnitine metabolism until the 6-h time-point, and failed to show increases in neurotransmitters and neuronal integrity markers at any time-point. On the other hand, metabolites related to glucose utilization—glycolysis and pentose phosphate pathway (PPP)—were low in the CR mice throughout the 6-h period and significantly increased at the 6-h time-point in the AL mice. Our findings suggest that CR induces distinct postprandial responses in metabolites that are essential to maintain brain functions. CR mice produced higher levels of essential brain metabolites in a shorter period after a meal and sustained the levels for an extended period, while maintaining a lower level of glucose utilization. These early brain metabolism changes in the CR mice might play a critical role for neuroprotection in aging. Understanding the interplay between dietary intervention and postprandial metabolic responses from an early age may have profound implications for impeding brain aging and reducing risk for neurodegenerative disorders.
VetCAST Method for Determination of the Pharmacokinetic-Pharmacodynamic Cut-Off Values of a Long-Acting Formulation of Florfenicol to Support Clinical Breakpoints for Florfenicol Antimicrobial Susceptibility Testing in Cattle

The PK/PD cut-off (PK/PDCO) value of florfenicol for calf pathogens was determined for long acting formulations (MSD Nuflor® and a bioequivalent generic product). PK/PDCO is one of the three MICs considered by VetCAST, a sub-committee of the European Committee on Susceptibility Testing (EUCAST), to establish a Clinical Breakpoint for interpreting Antimicrobial Susceptibility Testing (AST). A population model was built by pooling three pharmacokinetic data sets, obtained from 50 richly sampled calves, receiving one of two formulations (the pioneer product and a generic formulation). A virtual population of 5,000 florfenicol disposition curves was generated by Monte Carlo Simulations (MCS) over the 96 h of the assumed duration of action of the formulations. From this population, the maximum predicted MIC, for which 90% of calves can achieve some a priori selected critical value for two PK/PD indices, AUC/MIC and T>MIC, was established. Numerical values were established for two bacterial species of the bovine respiratory disease (BRD) complex, Pasteurella multocida and Mannheimia haemolytica. It was concluded that the PK/PDCO of florfenicol for both AUC/MIC and T>MIC was 1 mg/L.
Genetic and Epigenetic Studies in Diabetic Kidney Disease

Chronic kidney disease is a worldwide health crisis, while diabetic kidney disease (DKD) has become the leading cause of end-stage renal disease (ESRD). DKD is a microvascular complication and occurs in 30–40% of diabetes patients. Epidemiological investigations and clinical observations on the familial clustering and heritability in DKD have highlighted an underlying genetic susceptibility. Furthermore, DKD is a progressive and long-term diabetic complication, in which epigenetic effects and environmental factors interact with an individual’s genetic background. In recent years, researchers have undertaken genetic and epigenetic studies of DKD in order to better understand its molecular mechanisms. In this review, clinical material, research approaches and experimental designs that have been used for genetic and epigenetic studies of DKD are described. Current information from genetic and epigenetic studies of DKD and ESRD in patients with diabetes, including the approaches of genome-wide association study (GWAS) or epigenome-wide association study (EWAS) and candidate gene association analyses, are summarized. Further investigation of molecular defects in DKD with new approaches such as next generation sequencing analysis and phenome-wide association study (PheWAS) is also discussed.
PQM130, a Novel Feruloyl–Donepezil Hybrid Compound, Effectively Ameliorates the Cognitive Impairments and Pathology in a Mouse Model of Alzheimer’s Disease

Alzheimer’s disease (AD) is the most frequent type of dementia in older people. The complex nature of AD calls for the development of multitarget agents addressing key pathogenic processes. Donepezil, an acetylcholinesterase inhibitor, is a first-line acetylcholinesterase inhibitor used for the treatment of AD. Although several studies have demonstrated the symptomatic efficacy of donepezil treatment in AD patients, the possible effects of donepezil on the AD process are not yet known. In this study, a novel feruloyl–donepezil hybrid compound (PQM130) was synthesized and evaluated as a multitarget drug candidate against the neurotoxicity induced by Aβ1-42 oligomer (AβO) injection in mice. Interestingly, PQM130 had already shown anti-inflammatory activity in different in vivo models and neuroprotective activity in human neuronal cells. The intracerebroventricular (i.c.v.) injection of AβO in mice caused the increase of memory impairment, oxidative stress, neurodegeneration, and neuroinflammation. Instead, PQM130 (0.5–1 mg/kg) treatment after the i.c. v. AβO injection reduced oxidative damage and neuroinflammation and induced cell survival and protein synthesis through the modulation of glycogen synthase kinase 3β (GSK3β) and extracellular signal–regulated kinases (ERK1/2). Moreover, PQM130 increased brain plasticity and protected mice against the decline in spatial cognition. Even more interesting is that PQM130 modulated different pathways compared to donepezil, and it is much more effective in counteracting AβO damage. Therefore, our findings highlighted that PQM130 is a potent multi-functional agent against AD and could act as a promising neuroprotective compound for anti-AD drug development.
Global bounds for the cubic nonlinear Schrödinger equation (NLS) in one space dimension

This article is concerned with the small data problem for the cubic nonlinear Schrödinger equation (NLS) in one space dimension, and short range modifications of it. We provide a new, simpler approach in order to prove that global solutions exist for data which is small in H0,1. In the same setting we also discuss the related problems of obtaining a modified scattering expansion for the solution, as well as asymptotic completeness.
Liquidity Premia, Price-Rent Dynamics, and Business Cycles

In the U.S. economy during the past 25 years, house prices exhibit fluctuations considerably larger than house rents, and these large fluctuations tend to move together with business cycles. We build a simple theoretical model to characterize these observations by showing the tight connection between price-rent fluctuation and the liquidity constraint faced by productive firms. After developing economic intuition for this result, we estimate a medium-scale dynamic general equilibrium model to assess the empirical importance of the role the price-rent fluctuation plays in the business cycle. According to our estimation, a shock that drives most of the price-rent fluctuation explains 30 percent of output fluctuation over a six-year horizon.
Research on fabrication of mirror segments for E-ELT

The next generation ground-based giant telescope, the European Extremely Large Telescope (E-ELT), under development by the European Southern Observation (ESO) 1, will have nearly 1000 hexagonal segments of 1.45m across the flats. Fast processing of these segments with high form and edge specifications has proven to be a challenge. The Zeeko Precessions sub-aperture bonnet polishing plays an important role providing capability for polishing the surface and correcting the form to meet this target 2,3. BoXTM grinding has been adopted. This technology has the advantage of fast generating of aspheric surface with very low subsurface damage (SSD) 4. This will avoid the need of removing thick layer of stock at polishing stage to remove SSD. However the result grinding signatures has proven to be problematic for direct polishing with Zeeko’s standard bonnet technology. A novel ‘grolishing’ process which stands between ‘grinding’ and ‘polishing’ has been developed to deal with mid-spatial features left by BoXTM grinding. This tool is designed base on Zeeko’s R80 bonnet which will fits directly into the company’s IRP series machines. The process parameters have been optimised to have signatures less than 10 nm PV. The edge profile is 1μm upstand within 40 mm edge zone. The ‘grolished’ surface can be directly pre-polished together with all the form corrections. To meet the fabrication time target, R160 bonnet is used with 50 mm polishing spot, this will provide removal rate of 9.8 mm3/minute, which can be employed at pre-polishing stage and some form correction. Process parameters have been developed to leave slow upstand at edge zone without any form of sharp edge downturn. The following form correction stage, which employs smaller polishing spot of about 20 mm diameter, will continue to remove form errors of spatial frequency between 0.02 – 0.05 1/mm. Furthermore, the upstand edge will be, to a large part, removed at this stage. It is demonstrated that the form specs can be achieved after this process. The following smoothing process will improve surface textures and remove edge errors. Local edge rectification is normally necessary to bring the edge at same level. A final smoothing process will bring the bulk area and edge zone to meet all the specifications.
A Survey on Improve Efficiency And Scability vertical mining using Agriculter large data base

— Basic idea is that the search tree could be divided into sub process of equivalence classes. And since generating item sets in sub process of equivalence classes is independent from each other, we could do frequent item set mining in sub trees of equivalence classes in parallel. So the straightforward approach to parallelize Éclat is to consider each equivalence class as a data (agriculture). We can distribute data to different nodes and nodes could work on data without any synchronization. Even though the sorting helps to produce different sets in smaller sizes, there is a cost for sorting. Our Research to analysis is that the size of equivalence class is relatively small (always less than the size of the item base) and this size also reduces quickly as the search goes deeper in the recursion process. Base on time using more than using agriculture data we can handle large amount of data so first we develop éclat algorithm then develop parallel éclat algorithm then compare with using same data with respect time . with the help of support and confidence.
基于Kernel K-means的负荷曲线聚类

电力负荷曲线聚类是配用电系统的基础,对负荷管理具有重大意义。 采用基于核方法的聚类算法提高负荷曲线聚类的准确性,通过点积的方式构造核矩阵,再将数据映射到高维空间中进行聚类,进而加大数据的可分性。 同时,针对核矩阵的规模大、计算复杂的问题,提出使用核主成分与缩减矩阵规模对该方法进行优化。 实验过程中采用美国能源部开发能源信息网站提供的负荷数据进行聚类,并以Davies-Bouldin聚类有效性指标评估效果。 结果表明该方法具有较好的划分能力,可以提高负荷曲线聚类的准确性。
Intelligent Coaching Systems in Higher-Order Applications: Lessons from Automated Content Creation Bottlenecks

Intelligent virtual environments hold promise for improving learner-directed instruction in context. These systems trace the progress of learners performing tasks and can insert immediate coaching to focus learner attention, link knowledge to activity, and accelerate the shift from abstract to concrete learning. Such technology has been used to improve self-directed learning of hands-on procedures, but also shows promise for higher-order applied fields, such as engineering. To realize this vision, research must address the formidable bottlenecks around content creation and build understanding of the types of reusable content libraries relevant to the subject domains. This presentation describes two projects for interactive training that developed prototypes for automated content creation. A third project is presented that illustrates a suite of learning object libraries to support engineering instruction.The first project, SAVE, uses a 3D browser-based simulation environment not only for hands-on training in equipment maintenance, but also for automating the generation of instructional exercise solutions. SAVE allows a subject matter expert to use the interactive simulation for modeling the correct steps of a procedure, thus providing a rapid way to extract their knowledge. The system collects a trace of the expert? s activity, which becomes the reference against which learner activity is compared in automated assessment. The second project, AR Mentor, delivers augmented reality overlays in head-mounted displays worn by student mechanics while learning to maintain terrestrial vehicles. An automated speech system interacts with the students as they perform equipment adjustments and troubleshoot system faults. To deliver audible step-by-step guidance, a prototype text-to-speech translator was developed to convert steps as written in the technical manual into the voice of a virtual coach. The third project, SiMPLE, developed a library of engineering computation objects to allow learners to construct electromechanical simulations, and provides an intelligent coaching system to allow novice engineers to iteratively refine their design specifications. When a working simulation is achieved, the system is linked to a 3D printer for physical prototype production.The first two projects demonstrate methods of using virtual intelligent technologies to accelerate training content production in hands-on domains: expert model tracing and technical manual translation. The third project provides the tools needed to support engineering instruction: object libraries with embedded computations, as well as scripts for design coaching, design testing, and physical prototyping. Together, these projects illustrate the wide range of available, reusable libraries and the extensive opportunities for automating content creation in many socio-technical fields.
A Comparative Study of the Secret Sharing Algorithms for Secure Data in the Cloud

With advances in the field of cloud computing many computing rsources and/or services are being provided to the end user on a pay -as-you-use basis. Data outsourcing is a new paradigm in which a third party provides storage services. This is more cost e ffective for the user as there is no need of purchasing expensive hardware and software for data storage. The user is also relieved from administrative activities of software upgrades and maintenance.Before data out sourcing can become viable, the data pr ovider needs to guarantee that the datais secure, be able to execute queries on the data, and the results of the queries must also be secure and not visible to the data provider. Data encryption, Homomorphic Encryption, Secret Sharing algorithms and Private Information R etrieval (PIR) are the techniques widely used for secure data outsourcing. CIA (Confidentiality, Integrity and Availability) are the challenging issues associated with data storage management with/without data outsourcing. In this paper the performance of two secret sharing algo rithms are compared. The Shamir’s secret sharing algorithm and Rabin’s Information Dispersal Algorithm (IDA) are implemented in a private cloud setup using the OpenStack Cloud framework.
Mx Ubraries -dewey

Are the large measured returns to on-the-job computer-use productivity gains or the result of unobserved heterogeneity unrelated to productivity? We examine this issue with two large cross-sectional surveys from Germany. First, we confirm that the estimated wage differential associated with computer use in Germany is very similar to the U.S. differential. Second, using standard techniques we also measure large differentials for on-the-job use of calculators, telephones, pens or pencils, or for those who work while sitting down. Along with our reanalysis of U.S. data these findings cast some doubt on the interpretation of the computer-use wage differential as reflecting true productivity effects.