Miracle-dz/UniFAR-FTUs huggingface dataset:
Disulfiram inhibits TGF-β-induced epithelial-mesenchymal transition and stem-like features in breast cancer via ERK/NF-κB/Snail pathway

Disulfiram (DSF), an anti-alcoholism drug, has been reported as an inhibitor of NF-κB. NF-κB is involved in epithelial-mesenchymal transition (EMT) and self-renewal of breast cancer stem cells (CSCs). In this study, we treated MCF-7 and MDA-MB-231 breast cancer cells with TGF-β to induce EMT and cancer stem-like features and studied whether DSF can reverse this process. We found that DSF inhibited TGF-β induced EMT in breast cancer cells in a dose-dependent manner. Also, DSF inhibited EMT-associated stem-like features, migration and invasion of tumor cells as well as tumor growth in xenograft model. The activation of NF-κB was linked with EMT and stem-like cells. We conclude that DSF can suppress NF-κB activity and downregulate ERK/NF-κB/Snail pathway, leading to reverse EMT and stem-like features. Our data suggest that DSF inhibits EMT and stem-like properties in breast cancer cells associated with inhibition of the ERK/NF-κB/Snail pathway.
MCMC-based iterative method for mixed spectrum estimation

From the Bayesian statistical inference theory, a new mixed spectrum estimation method, which is based on Markov chain Monte Carlo (MCMC) approach, is proposed in this paper. The proposed method iteratively extracts the estimates of sinusoid parameters via the traditional methods, and estimates the ones of AR clutter parameters via the MCMC approach. Because the MCMC approach can fully dig the inherent information among the samples, it is more suitable for estimating the AR parameters from the less samples. Consequently, the proposed method is an efficient method for extracting the parameters of mixed spectrum for the applications with a small number of samples. Simulation results show that, comparing with the similar structure method, the method presented in this paper behaves superior estimation performance for the less samples case, and the estimation performance is less influenced by the signal-to-clutter ratio.
DỰ ĐOÁN HƯỚNG DI CHUYỂN VÀ

Currently, road traffic system of our country has been improved significantly. Besides building new roads to modern standards, the management, traffic monitoring have also been strengthened. Many camera systems to monitor the traffic situation in combination with security surveillance has been installed. There have been more and more applications of data mining from this monitoring system as traffic density computing, vehicle traffic counts, number plate recognition, vehicle speed measured. The determination of the velocity of the vehicle from the image of the CCTV system has been studied before, they often rely on a combination of machine learning methods for identification and use Meanshift algorithm or Camshift algorithm to track objects. Use Kalman filter to predict the movement, the velocity of the vehicle. This paper will present a method of determining the speed of movement of the car from the video image with a "measurement frame" is set on some basic methods of image processing such as background subtraction method to detect objects motion, using the weighted average calculations to predict the direction of movement and velocity of the object. The installation and testing has shown the accuracy and feasibility of this approach is entirely possible put into practical application.
Cell lines from the same cervical carcinomabut with different radiosensitivities exhibit different cDNA microarray patterns of gene expression

Combining chemotherapy with radiotherapy has improved the cure rate among patients with cancers of the cervix. Although one-half to two-thirds of the patients can be cured by radiation alone, such patients cannot be identified at present and must therefore suffer the burden of chemotherapy. Our long-range goal is to identify those cervical cancers that are radiosensitive and could be cured by radiotherapy alone. The advent of methods that permit the simultaneous analysis of expression patterns of thousands of genes, make it feasible to attempt to identify the molecular events related to radiosensitivity and the associated regulatory pathways. We hypothesize that the sensitivity of tumor cells to ionizing radiation (IR) is determined by the level of expression of specific genes that may be identified with the aid of cDNA microarrays. As the first step in testing this hypothesis, we determined the gene expression differences between two cell lines exhibiting different degrees of radiosensitivity. These were derived from the same tumor prior to treatment from a patient with squamous cell carcinoma of the cervix. The mRNA from these cells was subjected to cDNA analysis on a microarray of 5,776 known genes and ESTs. The expression of 52 genes of the total of 5,776 was elevated (maximum 4.1 fold) in the radioresistant cells as compared to the radiosensitive cells. Ten of the 52 sequences are known genes while 42 are ESTs. Conversely, the expression of 18 genes was elevated in the sensitive cells as compared to the resistant cells. Seven of these 18 are known genes while eleven are ESTs. Among the genes expressed differentially between the resistant and sensitive cells were several known to be associated with response to IR and many more genes and ESTs that had not previously been reported to be related to radiosensitivity. The genes that showed the greatest overexpression in the radioresistant cell line were metal-regulatory transcription factor-1, cytochrome P450 CYP1B1, adenomatosis polyposis coli, translation elongation factor-1, cytochrome-c oxidase, whereas in the sensitive cell line, transcription factor NF-kappa-B, metalloproteinase inhibitor-1 precursor, superoxide dismutase-2, insulin-like growth factor binding protein-3, guanine nucleotide-binding protein and transforming growth factor beta-induced protein were overexpressed.
Multifunctional Composites of Chiral Valine Derivative Schiff Base Cu(II) Complexes and TiO2

We have prepared four new Cu(II) complexes containing valine moieties with imidazole ligands at the fourth coordination sites and examined their photo-induced reactions with TiO2 in order of understanding the reaction mechanisms. Under a nitrogen atmosphere, the intermolecular electron transfer reactions (essentially supramolecular interactions) of these systems, which resulted in the reduction of Cu(II) species to Cu(I) ones, occurred after UV light irradiation. In this study, we have investigated the conditions of the redox reactions in view of substituent effects of aldehyde moieties. The results of cyclic voltammetry (CV) on an rotating ring-disk electrode (RRDE) suggested that the substitution effects and redox potentials were correlated. Density functional theory (DFT) and time-dependent DFT (TD-DFT) calculations were also performed to simulate the UV–Vis and circular dichroism (CD) spectra; the results revealed a reasonably good correlation between the substituent effects and the highest occupied molecular orbitals and the lowest unoccupied molecular orbitals (HOMO-LUMO) gaps associated with the most intense transition bands. In addition, we summarized the substitution effects of Cu(II) complexes for their corresponding UV light-induced reactions.
AVR Microcontroller Based Data Acquisition System for LaboratoryExperiments

Data acquisition and control system based on AVR microcontroller (Atmega16), for laboratory experiments is presented. This makes use of the built in ADC of the microcontroller and thus the resolution is 10 bits i.e. one part in 1024. In a typical setup the measuring system, under program control keeps on monitoring the voltage or current analogue inputs and makes the digital equivalent available on the selected ports. The controlling program on a PC read this input at pre-decided time intervals. The controlling program reads these values and process accordingly. Microcontroller programs are also developed and tested successfully. The data acquisition system was successfully used to monitor voltage and current during the experiment of growth of fractals. This data acquisition system is also used for other application such as to monitor changes in optical density of chemical solutions to demonstrate its application in Nephlometry. This data acquisition system can be easily be implemented on any real time measuring system in experimentation.
Learning Goal Orientation and Turnover Intention of the Malaysian Adult Students

The purpose of this study is to examine the relationship between learning goal orientation and turnover intention of the Malaysian adult students. Adult students were selected as the respondents in this study because they were regarded as the most active participants in the nation’s knowledge-based economy. In the creation of knowledge-based economy, employee turnover issues should not be overlooked as it has potential to become an obstacle in the process of organizational development. The findings of this study show that the respondents registered a high level of learning goal orientation and a moderate turnover intention. There were no significant group differences in the mean scores of learning goal orientation and turnover intention among the respondents. Regression analysis revealed that there is no significant relationship between learning goal orientation and turnover intention. However, adult students who are pursuing their continuing education may not have the intention to leave their organization at this moment. But, the situation may change when they have successfully completed their study. Therefore, it is recommended that the organization’s human resource department shall provide suitable responsibilities to these individuals to ensure that they remain in their organizations.
Unemployment. Labour Market Programmes and Wages in Norway

The Norwegian authorities pursue active labour market policies to fight unemployment by qualifying the unemployed in a wide range of programmes. We discuss theoretically and investigate empirically the effects such policies might have on the wage curve using a panel of more than 5400 Norwegian firms and regional unemployment figures. Total unemployment is a better predictor of wage pressure than open unemployment. The wage flexibility is reduced when we control for labour market programmes. The results support the view that labour market programmes shift the wage curve downwards and hence increase the equilibrium employment. JEL Classification: C23, J38.
Physical Activity and Cognitive Function in the Elderly Population

Running Title: Physical Activity and Cognitive Function : Use your device to scan and read the article online Caspian Journal of Neurological Sciences "Caspian J Neurol Sci" Journal Homepage: http://cjns.gums. ac.ir Article info: Received: 20 Jan 2018 First Revision: 05 Feb 2018 Accepted: 25 May 2018 Published: 01 Jul 2018 Funding: See Page 126 Copyright: The Author(s)
Numerical Study of the Impact of Filters Located in the Exhaust Duct of a Low-Voltage Circuit Breaker

Low-voltage circuit breakers under critical situations such as a severe short circuit develop a strong electric arc leading to brutal manifestations such as envelope rupture or fire. Apparatus are strictly designed to avoid damages like personal injury and material destruction. To limit the external manifestations of the electric arc, an efficient way consists of inserting a porous filter in the gas exhaust duct, composed of metallic cloth arranged in a Reps structure. Experimental tests have demonstrated the efficiency of this technique. We propose to complete the experimental study by carrying out the numerical simulations about the filter impact on the hot gas flow. A 2-D model based on the gas flow in porous media is considered, taking into account the porosity variation while the electric arc model derives from the experimental data and a thermal radiation model. A sophisticated finite-volume method based on a well-balanced scheme developed for nonconservative system is used to correctly approximate the solution when dealing with porosity variation.
Functional orientation of the acetabular component in ceramic-on-ceramic total hip arthroplasty and its relevance to squeaking.

AIMS Long-term clinical outcomes for ceramic-on-ceramic (CoC) bearings are encouraging. However, there is a risk of squeaking. Guidelines for the orientation of the acetabular component are defined from static imaging, but the position of the pelvis and thus the acetabular component during activities associated with edge-loading are likely to be very different from those measured when the patient is supine. We assessed the functional orientation of the acetabular component. PATIENTS AND METHODS A total of 18 patients with reproducible squeaking in their CoC hips during deep flexion were investigated with a control group of 36 non-squeaking CoC hips. The two groups were matched for the type of implant, the orientation of the acetabular component when supine, the size of the femoral head, ligament laxity, maximum hip flexion and body mass index. RESULTS The mean functional anteversion of the acetabular component at the point when patients initiated rising from a seated position was significantly less in the squeaking group than in the control group, 8.1° (-10.5° to 36.0°) and 21.1° (-1.9° to 38.4°) respectively (p = 0.002). CONCLUSION The functional orientation of the acetabular component during activities associated with posterior edge-loading are different from those measured when supine due to patient-specific pelvic kinematics. Individuals with a large anterior pelvic tilt during deep flexion might be more susceptible to posterior edge-loading and squeaking as a consequence of a significant decrease in the functional anteversion of the acetabular component. Cite this article: Bone Joint J 2016;98-B:910-16.
Computed tomography angiography for transcatheter aortic valve replacement.

BACKGROUND Transcatheter aortic valve replacement (TAVR) is an established alternative to surgery for patients with severe, symptomatic aortic stenosis who are not suitable candidates for surgical replacement of the aortic valve. The computed tomography (CT) technologist has a critical role in the care of patients undergoing TAVR. Because image acquisition and postprocessing for TAVR planning are highly complex, it is important for CT technologists involved in the planning to understand clinical detail, protocols, potential pitfalls, and factors that may influence workflow. PURPOSE To describe, from the CT technologist's point of view, the details of CT angiography acquisition and postprocessing at 1 institution for patients being screened for TAVR. DISCUSSION For TAVR patients, CT image acquisition and postprocessing is essential for a successful intervention. It is clinically essential to maintain and execute a detailed, standardized imaging approach. CONCLUSION TAVR planning is among the most complex procedures in radiology. For these patients, meticulous image acquisition and image postprocessing protocols are paramount, and successful patient outcomes depend on attention to clinical detail, protocols, potential pitfalls, and factors that may influence workflow.
Solution of Inverse Problems using Bayesian Approach with Application to Estimation of Material Parameters in Darcy Flow

Standard numerical methods for solving inverse problems in partial differential equations do not reflect a possible inaccuracy in observed data. However, in real engineering applications we cannot avoid uncertainties caused by measurement errors. In the Bayesian approach every unknown or inaccurate value is treated as a random variable. This paper presents an application of the Bayesian inverse approach to the reconstruction of a porosity field as a parameter of the Darcy flow problem. However, this framework can be applied to a wide range of problems that involve some amount of uncertainty. Here the material field is modeled as a Gaussian random field, which is expressed as a function of several random variables. The information about these random variables is given by the resulting posterior distribution, which is then studied using the Cross-Entropy method and samples are generated using the Metropolis-Hastings algorithm.
Bayesian Optimization of Unimodal Functions

Bayesian Optimization (BO) is a global optimization strategy designed to find the minimum of a black-box function by using a Gaussian process (GP) as a surrogate model for the function to be optimized. In this work, we study learning and optimization of unimodal functions using Bayesian optimization. We propose a hierarchical model for unimodal functions based on Gaussian processes with virtual derivative observations. We demonstrate that taking such structural prior information into account can decrease the number of function evaluations significantly and improve data efficiency.
Quality Modeling for Software Product Lines

In today's embedded software systems development, non-functional requirements (e.g., dependability, maintainability) are becoming more and more important. Simultaneously the increasing pressure to develop software in less time and at lower costs pushes software industry towards product line’s solutions. To support product lines for high quality embedded software, quality models are needed. In this paper, we investigate to which extent existing quality modeling approaches facilitate high quality software product lines. First, we define several requirements for an appropriate quality model. Then, we use those requirements to review the existing quality modeling approaches. We conclude from the review that no single quality model fulfills all of our requirements. However, several approaches contain valuable characteristics. Based upon those characteristics, we propose the Prometheus approach. Prometheus is a goal-oriented method that integrates quantitative and qualitative approaches to quality control. The method starts quality modeling early in the software lifecycle and is reusable across product lines.
Modification of TiO 2 Nanowire Arrays with Sn Doping as Photoanode for Highly Efficient Dye-Sensitized Solar Cells

The dye-sensitized solar cell (DSSC) is one candidate among the third-generation solar cells. The performance of most DSSCs based on TiO2 photoanode was limited by the low electron mobility within TiO2. To produce a much higher power conversion efficiency, Sn-doped TiO2 nanowire arrays were successfully prepared using a simple hydrothermal process. It was found that Sn doping augments electron mobility well and raises the flat band potential to improve the performance of DSSCs. The power conversion efficiency (η) of a DSSC based on the reasonable Sn-doped TiO2, N719 dye, platinized counter electrode and iodide/triiodide electrolyte reaches 8.75%. Furthermore, with an anatase TiO2 light scattering layer, a DSSC based on the Sn-doped TiO2 NWAs exhibits a remarkable power conversion efficiency of 9.43%, which is especially useful in weak light conditions.
Distribution Statement " a " (approved for Public Release, Distribution Unlimited). Advanced Millimeter-wave Multifunction Systems and the Implications for Semiconductor Technology

—As military combat platforms take on more challenging roles and missions, their need for advanced communications and sensors for both survivability and lethality has increased. Unfortunately the size, weight, and power (SWAP) available to accommodate these new capabilities has not grown proportionately, nor is it likely to. Many of these new capabilities are required to operate in the radio frequency (RF) spectrum as the need to operate in degraded visual environments increases and in order to reduce antenna sizes and increase available bandwidth, the millimeter-wave (MMW) portion of the spectrum is being examined to address these needs. DARPA has recently started a program in multifunction RF systems to address these needed capabilities while also addressing SWAP through the use of common apertures and exciter/receiver technology. This presentation will discuss how this need for a millimeter wave (MMW) multifunction system may influence our investment strategy in MMW components and ICs to enhance functionality and reduce cost while maintaining performance.
Agent–Principal Dilemma and the EU Chemical Management

Abstract In 2007, the EU adopted the most comprehensive chemical regulation in the world. The so-called REACH requires all chemical producers and importers to register and evaluate their chemical products and, when necessary, replace them with safer alternatives. For the administration of REACH, a new European Chemicals Agency (ECHA) was established. Establishment of this specialized body under the close supervision of the European Commission created in many ways an untraditional relationship which differs from the agent-principal model. The main aim of this article is to explore the specific nature of the agent-principal relationship between the ECHA and the European Commission in the areas of delegation, information asymmetry, motivation and control structures and emphasize how specific measures may limit the negative outcomes of the agent-principal dilemma.
Deity Representation: A Prototype Approach

This research systematically evaluates via prototype analysis how conceptualizations of Western adult's monotheistic God are structured. Over 4 studies, using U.S. student and community samples of predominantly Christians, features of God are identified, feature centrality is documented, and centrality influence on cognition is evaluated. Studies 1 and 2 produced considerable overlap in feature frequency and centrality ratings across the samples, with “God is love” being the most frequently listed central feature. In Studies 3 (choice latency) and 4 (recall and recognition memory), the centrality of features influenced cognitive processes: central features were more quickly identified as features of God than peripheral features; were correctly recognized more often; and central features were correctly recalled more often than peripheral features. Results indicated that participants meaningfully judged centrality and that centrality affected cognition. Thus, the two criteria necessary for demonstrating deity representations adhere to a prototype structure were met. Implications and future directions are discussed.
Enzymatic Activity and Motility of Recombinant Arabidopsis Myosin XI , MYA 1

We expressed recombinant Arabidopsis myosin XI (MYA1), in which the motor domain of MYA1 was connected to an artificial lever arm composed of triple helical repeats of Dictyostelium a-actinin, in order to understand its motor activity and intracellular function. The Vmax and Kactin of the actin-activated Mg2þ ATPase activity of the recombinant MYA1 were 50.7 Pi head 1 s 1 and 30.2 mM, respectively, at 258C. The recombinant MYA1 could translocate actin filament at the maximum velocity of 1.8 mms 1 at 258C in the in vitro motility assay. The value corresponded to a motility of 3.2 mms 1 for native MYA1 if we consider the difference in the lever arm length, and this value was very close to the velocity of cytoplasmic streaming in Arabidopsis hypocotyl epidermal cells. The extent of inhibition by ADP of the motility of MYA1 was similar to that of the well-known processive motor, myosin V, suggesting that MYA1 is a processive motor. The dissociation rate of the actin–MYA1ADP complex induced by ATP (73.5 s ) and the Vmax value of the actin-activated Mg2þ ATPase activity revealed that MYA1 stays in the actin-bound state for about 70% of its mechanochemical cycle time. This high ratio of actin-bound states is also a characteristic of processive motors. Our results strongly suggest that MYA1 is a processive motor and involved in vesicle transport and/or cytoplasmic streaming.