Miracle-dz/UniFAR-FTUs huggingface dataset:
A VISUAL TOOL FOR GENERATING MULTI-DEVICE RICH INTERNET APPLICATIONS 1

ion Hardware environmental adaptability The number of implemented functions using device-specific APIs. Table 3. Quality metrics to be considered on the quantitative evaluation Due to the specific capabilities of AlexandRIA such as the capability to generate source code of RIAs based on more than one cloud services API at the same time and the capability to generate installation files of multi-device RIAs in a fully-automatic way, the case study presented in the previous section of this paper is not adequate to be used as a code generation scenario using RUX-Tool and AIR® Launchpad. Thus, in order to measure the quality of the code generated by each of the evaluated tools under the same circumstances, we have proposed a basic code generation scenario comprising a Web application that covers different standard features of RIAs, namely, the interaction design patterns support, the multimedia support and the support for retrieving data from one or more simultaneous sources, both in synchronous and asynchronous way (see N.1. T.F.1 and N.1 T.F.4). In this sense, we have outlined this code generation scenario as the “hello world” program of RIAs. It is also a means for justifying the results obtained from the qualitative analysis, at least the results corresponding to the aspects covered in this code generation scenario. It is worth mentioning that, this scenario does not involve the measurement of neither the software environmental adaptability nor the hardware environmental adaptability because these metrics are focused on evaluating standalone RIAs. Notwithstanding its simplicity, this code generation scenario still involves hand coding functionality; in fact, in the case of code generation using AIR® Launchpad, the scenario has to be almost entirely implemented by hand due to the absence of a sample application conforming to most of the requirements of the application to be generated. Going beyond this issue, AIR® Launchpad is able to generate desktop and native mobile applications only. Taking this into account, we have decided to exclude AIR® Launchpad from this evaluation with the aim of preserve the accurateness of the results. In detail, the application to be generated must: 1) allow users to search for videos on YouTubeTM, 2) retrieve the corresponding video feeds from YouTubeTM (YouTubeTM Data API), 2) display the search results by view count using a list, 3) implement the drag and drop interaction design pattern to 352 AlexandRIA: A Visual Tool for Generating Multi-device Rich Internet Applications allow users to drag videos from the search results list and drop they into a video playlist and 4) play the video playlist. In addition, the video results must be displayed by pages of ten results at a time (inline paging interaction design pattern).
The Effect of Good Corporate Governance and Cost Components on the Tradeoff Between Real and Accrual Earning Management in Conventional Bank-(Empirical Study on Conventional Banks Listed in Indonesia Stock Exchange)

This study aims to examine the Effects of Good Corporate Governance and Cost Component on the Trade Off between Real and Accrual Earnings Management in conventional banks. The population of this research was in Conventional Bank that listed on the Indonesia Stock Exchange in 2013-2017. This study uses a sample of 20 conventional banks through purposive sampling method. The methodology of this research uses panel data regression analysis with EViews Version 10 as a statistical test tool. The results of the study show that good corporate governance which measured by audit committee effectiveness, seen from the number of audit committee members who has a accounting background show no significant effect on the real earning management but have a significant negative effect on the accrual earnings management. While the audit committee effectiveness which seen from the attendance percentage of the audit committee meeting has no significant effect on the real or accruals earnings management. There is no significant effect of audit fee, BOPO, cost of fund variables on the real and accrual earnings management. NOA variable has no significant effect on the real earnings management but have a negative effect on the accrual earnings management.
#OPPANOTICEME: THE INFLUENCE OF AN IDOL INSTAGRAM ACCOUNT ON SASAENG BEHAVIOR

This research discusses the developments of South Ko rean idol worship and its effect on the psychologica l state of fans. Specifically, this research will target how an idol’s use of Instagram influences these partic ular behaviors and whether location and time play a significant role. I t will discuss what types of Instagram posts lead to what type of fan and sasaeng behavior. The research will conclude a b reakdown of the positive and negative behaviors that c me about through the most interactive and followed Instagram accounts of idols from the three biggest labels in South Korea; SM Entertainment, YG Entertainment and JYP Entertainment .
Picard Groups , Grothendieck Rings , and Burnside Rings of Categories

1 I thank Po Hu for spurring me to write these observations, and I thank Halvard Fausk and Gaunce Lewis for careful readings of several drafts and many helpful comments. I thank Madhav Nori and Hyman Bass for help with the ring theory examples and Peter Freyd, Michael Boardman, and Neil Strickland for facts about cancellation phenomena in topology. I thank Fabien Morel for many interesting discussions of examples in algebraic geometry. Department of Mathematics, The University of Chicago, Chicago, Illinois 60637 E-mail: may@math.uchicago. edu
Mid-Range Management Theory: Competence Perspectives on Modularity and Dynamic Capabilities

In this paper we examine some fundamental epistemological issues in building theory for applied management science, by which we mean theory that can be usefully applied in a scientific approach to management research and practice. We first define and distinguish “grand theory” from “midrange theory” in the social and management sciences. We then elaborate and contrast epistemologies for (i) building “grand theory” intended to be applicable to all cases and contexts, and (ii) building “mid-range theory” intended to apply to specific kinds of contexts. We illustrate the epistemological challenges in building grand theory in management science by considering important differences in the abilities of two “grand theories” in strategic management – industry structure theory and firm resources Research in Competence-based Management, volume 8, 1–23 Copyright © 2018 by emerald publishing limited all rights of reproduction in any form reserved issn: 1744-2117/doi:10.1108/s1744-211720170000008001 2 Ron sanChez and aiMé heene theory – to support development of conceptually consistent models and propositions for empirical testing, theoretical refinement, and application in management practice. We then suggest how a mid-range theory building approach can help to achieve integration of the two grand strategic management theories and improve their ability to support empirical testing, theory refinement, and application of theory in practice. Finally, we suggest how the competence-based management (CBM) perspective provides the foundational concepts needed to build both mid-range theory and (potentially) grand theory in strategic management that can be usefully applied in management science.
Performance fatigability is not regulated to a peripheral critical 1 threshold 2 3

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Bethe Ansatz for a Supersymmetric Vertex Model with U q [ osp ( 2 | 2 ) ( 2 ) ] symmetry

The Algebraic Bethe ansatz for a supersymmetric nineteen vertexmodel constructed from a three-dimensional representation of the twisted quantum affine Lie superalgebra Uq[osp(2|2) ] is presented in detail. The eigenvalues and eigenvectors of the row-to-row transfer matrix are calculated and the corresponding Bethe Ansatz equations are obtained and analyzed numerically. PACS numbers: 05.20. -y; 05.50. +q; 04.20. Jb
N ov 2 01 0 A new parallel simulation technique

We develop a “semi-parallel” simulation technique suggested by Pretorius and Lehner, in which the simulation spacetime volume is divided into a large number of small 4-volumes which have only initial and final surfaces. Thus there is no two-way communication between processors, and the 4-volumes can be simulated independently without the use of MPI. This technique allows us to simulate much larger volumes than we otherwise could, because we are not limited by total memory size. No processor time is lost waiting for other processors. We compare a cosmic string simulation we developed using the semiparallel technique with our previous MPI-based code for several test cases and find a factor of 2.6 improvement in the total amount of processor time required to accomplish the same job for strings evolving in the matterdominated era.
Interactive comment on “ Brief Communication : Evaluation and comparisons of permafrost map over Qinghai-Tibet Plateau based on inventory of in-situ evidence ” by Bin

Permafrost maps were released by various institutes or research teams during the past several decades. They used modeling, statistical, and other mapping techs. Basically, the maps were evaluated during processing. However, the inter-comparison, what this study was done, is required for better understanding. This study collected more than a thousand samples over the QTP. The results of this study would be useful for future permafrost studies on the QTP and broad interest to the permafrost communities.
Physical Modeling Considerations for Control System Development 2014-01-0310

A mature process for the development of embedded controls and systems using Model-Based Design relies on libraries of validated models for the physical system components. These models are used throughout the design process and are readily available to the system and controls engineers for design and validation tasks. Models are created at various levels of abstraction to accommodate analysis needs at various stages of the design process. Abstract models are used early in the process for quick assessment of design tradeoffs, while higher fidelity models are used as the design progresses to account for the dynamics that affect system performance. Once acceptable system performance is achieved with desktop simulation, the models are moved to a real-time platform for final verification. Creating real-time capable plant models typically requires making assumptions and compromises to achieve acceptable performance. The end result is successful deployment of the embedded controls system with minimal reliance on expensive prototype hardware during the bulk of the design process. This paper outlines the necessary requirements and key considerations in using plant models as part of Model-Based Design.
Pose Model Switching for Robust Face Tracking

Computer Vision is the broadly growing field of studying how computers can process images and videos to quantify and model visual information, as well as discover knowledge in complex scenes and events. Face recognition from visual cues has emerged as an active research area with numerous possible commercial and law enforcement applications. These applications require robust algorithms for human face detection and recognition under varying—often non-optimal— situations. We present an approach for face detection and recognition under varying poses. Currently one of the most popular approaches is Active Shape Models that can only be used for frontal or nearly frontal poses, but cannot detect/track faces under major off-plane rotation. A naive solution to this problem is to attempt to fit multiple face models at different rotations/poses and pick the model with the best fit. However, this approach does not consider temporal constraints that depict the motion continuity. We tackle this issue using statistical modeling methods for structured prediction to provide more accurate, efficient, and robust switching of face models. Index Terms – Active Shape Model (ASM), Hidden Markov Model (HMM), Condition Random Fields (CRFs), pose estimation, model switching
Protected And Proficient Data Statement Protocol In Wbans

Wireless Body Area Networks (WBANs) befit to match a crucial business inside the ﬁeld of patient-health monitoring inside the close to long run, that gains astounding regard between researchers in recent times. One of your demanding situations undergo make a settle verbal exchange composition in the midst of sensors and users, at the same time as addressing the prevalent care and concealment concerns. In this person study, we advise a conversation construction for BANs, and aim a scenario to reliable the information communiques betwixt implanted /wearable sensors and the information slip/goods consumers (doctors or nourish) by employing Cipher text-Policy Attribute Based Encryption (CP ABE) and seal to showroom the information in cipher text composition at the info slump, thence making certain input confidence [1]. Our strategy achieves a job-based get right of entry to keep an eye on by employing a get right of entry to keep an eye on shrub deﬁned individually attributes of your goods. We still make two protocols to solidly bring back the emotional info coming out of a BAN and warn the sensors in a BAN. We figure out the suggested strategy, and claim sweeping provides theme reliability and conspiracy struggle, and is efﬁcient and reasonable. We again weigh its show when it comes to strength drinking and conversation/computation over.
CLEAR SEAS CENTRE FOR RESPONSIBLE MARINE SHIPPING – REPORT DIGEST HIGHLIGHTS OF THE BEHAVIOUR AND ENVIRONMENTAL IMPACTS OF CRUDE OIL RELEASED INTO AQUEOUS ENVIRONMENTS

Over the past few decades much has been learned about the causes and impacts of ship-source accidents and oil spills. This learning curve has resulted in: (1) better preventative and spill response legislation being implemented by governments; (2) improvement in construction and safety awareness on the part of ship owners and mariners; and (3) greater public awareness and scrutiny regarding the transportation of oil and oil products.
AN OVERVIEW OF ENHANCING DROUGHT TOLERANCE IN COTTON THROUGH MANIPULATING STRESS RESISTANCE GENES

Drought stress affects the normal growth of plant by influencing Physiological, morphological molecular and biochemical traits at cellular level. It is a polygenic trait, controlled by multiple genes, which makes its manipulation difficult by genetic engineering. It seems drought could be major threat in future to high yield of cotton in Pakistan as well around the globe because it is spontaneous and cannot be controlled with manuring and skilled agricultural practices. Gene manipulation could be a solution of this threat by producing transgenic cotton plants. As it is polygenic trait, so, understanding about cellular mechanism of drought tolerance is crucial to impart tolerance by controlling gene expression under stressed conditions. Universal Stress Proteins (USP) genes have already been identified in drought stressed leaves of Gossypium arboreum which make this variety of cotton a rich source of stress tolerance genes. USP genes could be manipulated for drought tolerant transgenic cotton with high yielding as well and it is most important family of proteins in this regard. This family encompasses a conserved group of proteins that has been reported in different organisms which are activating under various abiotic stress conditions. USP is also a regulatory protein; its activity can be increased by manipulating its interactions.
Adaptive Time-Frequency Scattering for Periodic Modulation Recognition in Music Signals

Vibratos, tremolos, trills, and ﬂutter-tongue are techniques frequently found in vocal and instrumental music. A common feature of these techniques is the periodic modulation in the time–frequency domain. We propose a representation based on time–frequency scattering to model the inter-class variability for ﬁne discrimination of these periodic modulations. Time–frequency scattering is an instance of the scattering transform, an approach for building invariant, stable, and informative signal representations. The proposed representation is calculated around the wavelet subband of maximal acoustic energy, rather than over all the wavelet bands. To demonstrate the feasibility of this approach, we build a system that computes the representation as input to a machine learning classiﬁer. Whereas previously published datasets for playing technique analysis focus primarily on techniques recorded in isolation, for ecological validity, we create a new dataset to evaluate the system. The dataset, named CBF-periDB, contains full-length expert performances on the Chinese bamboo ﬂute that have been thoroughly annotated by the players themselves. We report F-measures of 99% for ﬂutter-tongue, 82% for trill, 69% for vibrato, and 51% for tremolo detection, and provide explanatory visualisations of scattering coefﬁcients for each of these techniques.
A Relevant Fuzzy Logic Algorithm to Better Optimize Electricity Consumption in

In this article, a Fuzzy Logic algorithm (MATLAB environment) is descripted to better predict and manage electricity consumption in individual housing. Several measurements were performed in 3 houses to have an idea of typical electrical energy consumptions. Without any prediction model, the simulation results of the management system exhibit that it is not possible to smooth all peak demands. In particular, this smoothing is in chronological sequence. Using the prediction and management modeling, the highest peak demands can be forecasted. As a consequence, if the house is composed of a storage system, all stored electricity can be reinjected during the highest peak periods. Finally, the system proposed here provides safety guarantees, and particularly during AC-line disconnection.
Predicting online toxic content

A big problem for any major social media website today is how to handle toxic content such as hate speech, threats, racism, and online sexual harassment. Communities like Facebook, Reddit, and Quora rely on moderators and users to report offensive content, but there is a need for scalable solutions. This research investigates different state-of-the-art Machine Learning techniques for NLP and gives an experimental comparison of these methods to predict and flag toxic online content. To evaluate the performance, these algorithms are applied on the Quora questions dataset. Two different types of Recurrent Neural Networks (RNN), a Long Short-Term Memory Network (LSTM) and a Gated Recurrent Unit (GRU), are used and compared against a Logistic Regression baseline model. The results showed that the LSTM gives the best performance with a F1 score of 0.671. Both the LSTM and GRU outperformed the baseline model. This paper concludes that deep learning models are well suited for NLP tasks.
Modelling of macrophage interactions in breast cancer by partial differential equations

The recruitment of macrophages at the tumor sites is the earliest immune response takes place during tumor progression. In breast cancer, experimental studies reveals that the tumor cells are capable of taking advantage on the plasticity of macrophages. Tumor cells respond to epidermal growth factor, EGF that released by macrophages while macrophages respond to colony stimulating factor 1, CSF1 that released by tumor cells. This chains continues and results a paracrine signalling loop. Consequently, tumor cells and macrophages will aggregate and invade to other tissues or organ. Tumor cells also receive their own signals, adding a new feature of interaction called autocrine signalling loop. By considering in vitro interactions, a system of partial differential equations that incorporate the saturating functions for secretion terms was developed. This functions describes the production of chemical signals saturates with increasing cell density. Stability analysis are then performed to investigate the conditions for aggregation. For a given average of cells density, the homogeneous steady state is non-trivial and the concentration of CSF-1 and EGF are produced in the saturated production. Stability results show that regions for instability are reduced, compared to previous model which assumes the production rates are linear with increasing cell density. Besides, the inclusion of autocrine signalling loop increase the occurrence of aggregation. Decreasing the production rates and chemotaxis sensitivity, together with increasing the decay rates are required to impede the aggregation from initiated. This results should provide valuable clinical suggestions in guiding medical experts during drug designs.
A Lab-on-a-Chip Device Integrated DNA Extraction and Solid Phase PCR Array for the Genotyping of High-Risk HPV in Clinical Samples

Point-of-care (POC) molecular diagnostics play a crucial role in the prevention and treatment of infectious diseases. It is necessary to develop portable, easy-to-use, inexpensive and rapid molecular diagnostic tools. In this study, we proposed a lab-on-a-chip device that integrated DNA extraction, solid-phase PCR and genotyping detection. The ingenious design of the pneumatic microvalves enabled the fluid mixing and reagent storage to be organically combined, significantly reducing the size of the chip. The solid oligonucleotide array incorporated into the chip allowed the spatial separation of the primers and minimized undesirable interactions in multiplex amplification. As a proof-of-concept for POC molecular diagnostics on the device, five genotypes of high-risk human papillomavirus (HPV) (HPV16/HPV18/HPV31/HPV33/HPV58) were examined. Positive quality control samples and HPV patient cervical swab specimens were analyzed on the integrated microdevice. The platform was capable of detection approximately 50 copies of HPV virus per reaction during a single step, including DNA extraction, solid-phase PCR and genotype detection, in 1 h from samples being added to the chip. This simple and inexpensive microdevice provided great utility for the screening and monitoring of HPV genotypes. The sample-to-result platform will pave the way for wider application of POC molecular testing in the fields of clinical diagnostics, food safety, and environmental monitoring.
Decomposing the VIX: Implications for the Predictability of Stock Returns

We identify the VIX index is innately a risk-neutrally forward-looking measure of the polynomial (not quadratic) variation of market returns. Correspondingly, the VIX risk premium, squared VIX minuses the realized VIX (a physically conditional measure of the polynomial variation), compensates jointly for the risk of stochastic volatility and that of jump and tail. The VIX index consequently can be decomposed into four fundamentally different components: the realized variance (RV), the variance risk premium (VRP*), the realized tail (RT), and the tail risk premium (TRP), respectively. The empirical results reveal that VRP*, RT, and TRP (except RV) help predict future market returns.