Miracle-dz/UniFAR-FTUs huggingface dataset:
SP 1 and STAT 3 Functionally Synergize to Induce the RhoU Small GTPase and a Subclass of Non-canonical WNT Responsive Genes Correlating with Poor Prognosis in Breast Cancer

Breast cancer is a heterogeneous disease whose clinical management is very challenging. Although specific molecular features characterize breast cancer subtypes with different prognosis, the identification of specific markers predicting disease outcome within the single subtypes still lags behind. Both the non-canonical Wingless-type MMTV Integration site (WNT) and the Signal Transducer and Activator of Transcription (STAT)3 pathways are often constitutively activated in breast tumors, and both can induce the small GTPase Ras Homolog Family Member U RhoU. Here we show that RhoU transcription can be triggered by both canonical and non-canonical WNT ligands via the activation of c-JUN N-terminal kinase (JNK) and the recruitment of the Specificity Protein 1 (SP1) transcription factor to the RhoU promoter, identifying for the first time SP1 as a JNK-dependent mediator of WNT signaling. RhoU down-regulation by silencing or treatment with JNK, SP1 or STAT3 inhibitors leads to impaired migration and invasion in basal-like MDA-MB-231 and BT-549 cells, suggesting that STAT3 and SP1 can cooperate to induce high RhoU expression and enhance breast cancer cells migration. Moreover, in vivo concomitant binding of STAT3 and SP1 defines a subclass of genes belonging to the non-canonical WNT and the Interleukin (IL)-6/STAT3 pathways and contributing to breast cancer aggressiveness, suggesting the relevance of developing novel targeted therapies combining inhibitors of the STAT3 and WNT pathways or of their downstream mediators.
Magic Quadrant for Web Application Firewalls

The web application firewall (WAF) market is driven by a customer's need to protect public and internal web applications when they are deployed locally (on-premises) or remotely (hosted, cloud-based or as a service). WAFs protect web applications and APIs against a variety of attacks, notably including injection attacks and application-layer denial of service (DoS). They should not only provide signature-based protection, but should also support positive security models and/or anomaly detection.
Aalborg Universitet Mobile Handset Performance Evaluation Using Spherical Measurements

The mean effective gain (MEG) is an attractive performance measure of mobile handsets, since it incorporates both directional and polarization properties of the handset and environment. In this work the MEG is computed from measured spherical radiation patterns of five different mobile handsets, both in free space and including a human head & shoulder phantom. Different models of the environment allow a comparison of the MEG obtained for realistic models based on measurements with the total radiated power (TRP) and the total isotropic sensitivity (TIS). All the comparisons are based on the MEG values obtained for different orientations of the handsets in the environments.
A STUDY ON CUSTOMER PERCEPTION TOWARDS E-TICKETING IN COIMBATORE

This research investigated peoples‟ perception of online buying tickets (eticketing) as well as why some people use this facility while some who do not use it stick to the traditional way to fulfill their needs. In addition, factors such as what inform peoples‟ eagerness and unwillingness to use internet facilities are also examined. The outcome of this research showed a comprehensively integrated framework that can be utilized by policy makers and business enterprises to understand the dynamic relationships among dimensions of perceived risk, user trustworthiness, usefulness, familiarity and confidence. Also, this study considered how price perception and internet security can be utilized to understand the consumers’ perception. Moreover, it is also necessary to review consumers’ purchasing behavior in making the decision to use the internet as a means of buying online rather than the traditional way.
Automatic Generation of Test-Cases Using Model Checking for SL / SF Models ⋆

Model based test-case generation methods use different techniques, viz., random data generation, guided simulation, constraint solving, etc., for automatically deriving test-cases from reference models. Recently, automatic test generation using model checking, a formal verification technique, has been reported to produce more efficient test-suites compared to conventional test generation techniques. In this paper, we describe our experience in test generation using model checking for the Simulink/Stateflow (SL/SF) models of two automotive controller examples. Model checking based test generation is non-trivial since the SL/SF models have to be first translated into a formal language to serve as an input for the model checker tool. Moreover, to handle the size and complexities of the industrial designs the translation has to make use of various abstractions yet preserve the semantics of the original model relevant for test generation. We provide an outline of the translation scheme used for translating the SL/SF models into a formal language called SAL. Preliminary results indicate that model checking based test generation, in conjunction with suitable model abstractions, can yield better results in terms of coverage and efficiency of test-cases as compared to the conventional approaches based on simulation and random data generation.
Spatial Patterns of Trees in the Sinharaja Forest in Sri Lanka

Process that maintains species diversity, species richness and species distribution are one of the central questions in ecology. There are dozens of theories proposed to explain distribution patterns of the species (e.g. Hutchison’s hyper-volume concept (1957), Mc-Arthur ‘s Broken stick model, Janzen-Connel effects, Chesson’s lottery model (1981), Connells intermediate disturbance hypothesis, and Hubbell’s neutral theory (Hubbell, 2001)). Spatial distribution of tree species associated with several factors (e.g. habitat heterogeneity, dispersal limitation and tree interactions). Species composition is different with respect to high elevation areas, mid elevation areas, and low elevation. Limited dispersal ability of species delay competitive exclusion not allowing superior species to reach all the favorable sites. May be facilitation and competition of species determine species distribution of species. However, facilitation in tropical forest is rare. Competition is often found at small spatial scales. Many processes operate at different spatial scales. Detail analysis of spatial distribution can reveal processes that operate at different spatial scale (Condit et al. 2000; Wiegand and Moloney 2004; He and Legendre 2002; Seidler and Plotkin 2006; Wiegand et al. 2007; Shen et al. 2009). In this study attempt is made to understand the spatial distribution of species using Clarke-Evans test, Ripley’s K-function, L-function, and PairCorrelation function.
Redundant Causality and Robustness

This essay examines the stabilizing effect of redundant causality. The first part argues that inert, preempted backups play an irreducibly causal role in the sciences by making systems counterfactual-supporting and robust. The second part develops a notion of redundant causal process, which combines the insights of differencemaking theories of causation with a process-based or mechanistic perspective.
THE INFLUENCE OF SUBSTRATE PREPARATION , ANODIZATION CONDITIONS AND POST ANODIZING TREATMENT ON AAO MICROSTRUCTURE

Series of anodization experiments was conducted on pure aluminium (99,95 Goodfellow) substrates with the aim to map the possibilities and evaluate available techniques. Oxalic acid electrolyte was used for anodization at different voltage levels ranging from 20 to 60V, while current was always measured continuously during the experiment. The influence of substrate surface treatment, time and grain size of the substrate was documented for as anodized oxide structures using FEG-SEM. Well aligned and evenly distributed pores of the diameters ranging 2035 nm were achieved. Extremely fine pores down to 10 nm were achieved using the step-down technique governed by current limitation. Further post-anodizing treatment was evaluated – pore widening by chemical and electrochemical etching, which resulted in pores 80nm wide. The feasibility of electrodeposition of metallic wires directly into the AAO structure without substrate removal was evaluated. DC, AC symmetric and non-symmetric voltage setups were used. The deposition experiments results varied strongly depending on the post anodization treatment. For combination of porewidening after anodizing with step-down stage, the deposition of copper nanowires was achieved. For simple step-down procedure, creation of very fine copper particles was realized using non-symmetric AC deposition.
Tilburg University Pollution and endogenous growth

The effects of increased environmental care on optimal technology choice and long-term growth are studied for an economy in which pollution is a side-product of physical capital used in production. First, it is shown that in case of a standard neoclassical production structure, the result is a less capital-intensive production process whereas the long-run growth rate is not affected. Next, we introduce assumptions of the endogenous growth literature. When there are constant returns to physical capital [following Rebelo (1991) and Romer (1986)], an increase in abatement activities crowds out investment and lowers the endogenous growth rate. When human capital accumulation is the engine of growth [as in Lucas (1988)], physical capital intensity declines and the endogenous optimal growth rate is unaffected by increased environmental care or is even higher, depending on whether pollution influences agents' ability to learn or not.
Eagle Knights 2014: Small Size League Team Description Paper

In this paper we describe the architecture of our RoboCup Small Size League 2014 team. This architecture has improvements in hardware and a radically dierent design in software from what we had presented until 2013. In hardware, we improved the PID robot controller, and we are in the progress of changing motor types. In software, we now have a modular system that uses ROS in order to integrate modules.
Automated Stock Price Prediction Using Machine Learning

Traditionally and in order to predict market movement, investors used to analyze the stock prices and stock indicators in addition to the news related to these stocks. Hence, the importance of news on the stock price movement. Most of the previous work in this industry focused on either classifying the released market news as (positive, negative, neutral) and demonstrating their effect on the stock price or focused on the historical price movement and predicted their future movement. In this work, we propose an automated trading system that integrates mathematical functions, machine learning, and other external factors such as news’ sentiments for the purpose of achieving better stock prediction accuracy and issuing profitable trades. Particularly, we aim to determine the price or the trend of a certain stock for the coming end-of-day considering the first several trading hours of the day. To achieve this goal, we trained traditional machine learning algorithms and created/trained multiple deep learning models taking into consideration the importance of the relevant news. Various experiments were conducted, the highest accuracy (82.91%) of which was achieved using SVM for Apple Inc. (AAPL) stock
Effects of active videogame-based intervention on self-concept, balance, motor performance and adaptive success of children with cerebral palsy: preliminary study

Study developed in the Child Development Analysis Laboratory, Department of Physical Therapy, Universidade Federal de São Carlos (UFSCar) – São Carlos (SP), Brazil. 1Physical Therapist, PhD student in Physical Therapy, Graduate Program, Universidade Federal de São Carlos (UFSCar) – São Carlos (SP), Brazil. 2Physical Therapist, graduated from the Faculdade de Taquaritinga (FTGA) – Taquaritinga (SP), Brazil. 3Physical Therapist, graduated from the Universidade Federal de São Carlos (UFSCar) – São Carlos (SP), Brazil. 4Professor, Physical Therapy Program and Physical Therapy Graduate Program, Universidade Federal de São Carlos (UFSCar) – São Carlos (SP), Brasil. 294
Inflation , Entropy and Economic Growth

In this article, we argue that inflation increases complexity pertaining to knowledge production (or R&D). Then, we expand a recently developed complexity index based on entropy to include the effect of inflation. As a result of this new mechanism in an endogenous growth model, inflation is no longer superneutral. In the model, inflation can decrease economic growth in a nonlinear way, a sudden upward shock on inflation can severely hurt economic growth and an inflation cut can be responsible for a take-off. These effects are illustrated quantitatively.
A Method for Generating Texture Images used on Landscape Simulation

When new buildings, roads or bridges are constructed, landscape simulation is used to investigate if the new constructed objects can match with the current scene. Landscape simulation needs a large number of modeling data, which are created with computer graphics modeling software. On the modeling, a technique called texture mapping is used to make the manmade modeling data realistic. Texture mapping is a computer graphics technique, which maps real pictures onto surfaces of buildings, roads or bridges created by modeling software. However, in order to make the manmade modeling data very realistic, many pictures are needed and that requires much work for both taking pictures and managing them. This paper describes a method for generating texture images such as surfaces of houses or roads. With this method, texture images are generated automatically using random and fractal functions. The generated images look like very natural and enable the modeling data of landscape simulation very realistic. This method uses two types of image. One is a material image and the other is a weathered one. The material image is generated by placing some fundamental patterns at random. The more patterns are used, the more varieties are generated. On the other hand, the weathered image is generated using fractal functions. Selecting the fractal seeds can make an intended image such as a texture that represents water drop track on a wall. Also, combining both material and weathered images can make more realistic images for texture mapping. With this method, we succeeded in creating realistic modeling data for landscape simulation.
DESIGN OF MOLECULARLY IMPRINTED POLYMER FOR SOLID PHASE EXTRACTION OF SINENSETIN FROM Orthosipon stamineus

Sinensetin extractions from Orthosipon stamineus (Misai Kucing) using an organic solvent are costly and need practical technique to get high yields. A Solid Phase Extraction (SPE) technique can be as an alternative using a novel solid material in the SPE column known as Molecularly Imprinted Polymer (MIP). In our paper, we reported computer aided design of MIP for sinensetin by molecular modeling approach to get the optimum procedure in MIP’s synthesis. The modeling is done to select monomer that is usable to bind several active sites in sinensetin. Molecular modeling is performed using AM1 semi-empirical – quantum mechanics method to study the interaction between sinensetin as template and a functional monomer molecule. There are twenty functional monomer used in this work covering acidic, neutral and basic organic monomer. The result from the modeling showed that the acidic functional monomer is good for this purpose. Non covalent bonding has an important role to the interaction.
THEORETICAL ASPECTS REGARDING THE ELABORATION OF THE MACROECONOMIC FORECASTS

The elaboration of the methodological framework of the macroeconomic forecast involves solving the following three major problems: structuring the forecasts; substantiating forecasts: ensuring a logical fl ow of drafting work. Structuring the forecasts means grouping them, problems and actions, according to various criteria that allow the work to be done in such order in relation to the skills of those who develop such works and to ensure the desired degree of operationalization. The provisions of the forecasts are structured, however, in a diff erentiated way on: sections large groups of problems; profi les grouping provisions by branch, territorial or social criterion; categories of provisions, namely indicative or imperative, are particularly relevant to plans and programs. Establishing macroeconomic forecasts means setting each of their elements on the basis of suffi cient information, taking into account the network of interdependencies and predictable developments, while ensuring risk and uncertainty measures. The substantiation of the forecasts is aimed at carrying out activities that are technically, economically, socially and ecologically effi cient. The elaboration of the macroeconomic forecasting projects involves the following three essential steps, namely: diagnosis, forecasting and planning or programming. All of this is in information and methodological conditioning.
PERFORMANCE ENHANCEMENT OF MULTIGATE MOSFET USING ENGINEERING TECHNIQUE-A REVIEW

: The design of future VLSI circuits using conventional MOSFET has become a challenge for the device engineers. The presence of short channel effects at nanoscale has becomes the limiting factor for the futuristic devices. The dielectric engineering along with gate and channel engineering effectively reduce the SCEs and outcomes in improved performance in terms of transconductance and sub-threshold behavior. In this paper, the consequences of engineering technique on the multigate MOSFETs have been explored and reported.
EXTRACTS ON SOME BIOLOGICAL ASPECTS OF SPIDER MITE , TETRANYCHUS URTICAE KOCH ( ACARI : TETRANYCHIDAE ) WAKED

he usage of plant extracts for pest control is considered as an alternative control method to synthetic pesticides. The effect of methanol and water extracts obtained from Sage (Salvia officinalis L.) plant from the Lamiaceae family on Tetranychus urticae Koch was evaluated. The sprayed leaf disk method was used to determine the effect of the plant extracts. The effect of Sage extracts on the eggs and adult females was examined. Four concentrations of the plant extracts 5%, 10%, 15% and 20% were evaluated. Mortality was observed after 1, 3 and 5 days from treatment. The highest death rates of T. urticae adults were found at 20% concentration as 92.85% and 87.14% for methanol and water Sage extracts, respectively. Both extracts gave poor toxic effect to eggs compared with adult females. Both extracts proved superiority in repellency to spider mite, T. urticae. Rate of repellency was decreased gradually by time elapsed after treatment. T. urticae females preferred to settle, deposit eggs and feed on the untreated half of the disc and the majority refused to settle on the treated part especially with the high concentrations. Both solvent extracts shortened the longevity and reduced fecundity of adult females of T. urticae. As a consequence, Sage extracts are thought to be used as an alternative safe method for mite control.
Demystifying Software Defined Radios using an approachable Docker Image

The use of SDRs is non-trivial and the learning curve along with the time overhead required to retrieve useful data from an SDR is a deterrent to users regardless of their skill level. Basic FM radio applications require the user to boot to a live image, configure drivers/libraries, or install specialized operating systems all the while troubleshooting configuration issues. To solve these issues, we bundled all the necessary SDR libraries within our Docker Image to provide an os-independent application that when paired with a HackRF radio antenna, will allow end users to scan multiple wireless frequencies. These frequencies include but are not limited to WiFi information on 2.4GHz and 5GHz frequency bands along with collection of Bluetooth and Zigbee information on the 2.4GHz frequency band. From this work, a user would connect to our Docker image via their preferred web browser to view graphs of all packets and their respective information in a easy to understand format. This additional technology was aimed to help end users gain deep insight into various radio defined networks. Overall, we hope our Docker Image aptly named SUPERFREQ, has helped layed down the basic foundation for people curious in this technology to expand it to LTE and beyond.
S rDNA OF DACTYLiS GLOMERATA ( POACEAE ) : MOLECULAR ORGANIZATION AND TAXONOMIC APPLICATION

Aim. During the last decades, extensive use of molecular methods resulted in significant elucidation of evolution and taxonomy of Poaceae, but determination of boundaries between related tribes still represent an actual problem. Especially, application of variable genes like 5S rDNA is necessary for further improvement of existing knowledge about the phylogeny of Poaceae. In order to clarify the phylogenetic position of the subtribe Dactylidinae within the tribe Poeae, we describe molecular organization of 5S rDNA of Dactylis glomerata. Methods. The 5S rDNA repeated units were amplified by PCR, cloned and sequenced. Results. It was shown that only one 258 bp-long variant of 5S rDNA repeats is present in the genome of D. glomerata and the level of intragenomic similarity of the repeats is high, ranging from 96,8 to 98,8%. The repeats appear to be functionally active since they contain all known elements of external promoter for RNA polymerase III. According to sequence comparison the 5S rDNA of D. glomerata appears to be similar to that one of distantly related Aveninae species. Conclusions. The data indicate a possible hybridization between representatives of subtribes Dactylidinae and Aveninae.
Radical Innovation Identification Based on Topic Mutation of Scientific Knowledge Cited in Patents

: [ Objective ] Technical fields that closely related to basic research require radical innovation identification from the content of scientific knowledge cited in patents (SKCP). [ Methods ] This paper firstly extracts keywords and subject categories of scientific references in patents to represent SKCP, then identifies topics in keywords co-occurrence network and combinations of subject categories, finally proposes the method of topic mutation degree calculation based on keywords and subject categories, to identify technical topics of radical innovation. [ Results ] In the domain of Nano electronics, Nano circuit is an approved radical innovation. The related topics about this are confirmed using proposed method including Nano wire, carbon nanotubes, computing circuit, and Nano materials and the manufacturing technologies. Moreover, the corresponding combination of subject categories is materials science, chemistry, optics, biology and applied physics. [ Limitations ] The accuracy of SKCP’s extraction, preprocessing and matching needs to be improved and the generality of method needs to be validated in other areas. [ Conclusions ] This method is an important improvement and supplement of radical innovation identification based on patent information and could be extended to other technical fields that are closely related to basic research
Hybrid DE - HS Algorithm with Randomized Parameters

The evolutionary algorithms and their hybrid methods are quite efficient and accurate in terms of solution quality of optimization. In this study, a new hybrid algorithm is generated by merging Differential Evolution (DE) and Harmony Search Optimization (HS) algorithms which is called DES. The core steps of the algorithms are used without any modifications, but the main control parameters which directly affect the performance are randomized. The experimental study is done by comparing DE, HS and their hybrid method DES. According to the results, it is found that DES algorithm has improved the performances of original algorithms for the selected test problems