Miracle-dz/UniFAR-FTUs huggingface dataset:
Artificial Neural Network Analysis of Custom Power Devices for Mitigates the Problem of Power Failures

Unified series-shunt compensator (USSC) compensates a variety of power quality problems in the distribution system including voltage sag and voltage swell compensation, flicker reduction, unbalance mitigation, uninterrupted power supply (UPS) mode, power flow control and harmonics elimination. This paper deals with the simulation, analysis and comparison of voltage sag compensation capability of dynamic voltage resistor (DVR), synchronous static compensator (D-STATCOM) and USSC using artificial neural network (ANN). The USSC constructs use of two back to back connected insulated gate bipolar transistor (IGBT) based voltage source inverters (VSIs) with a common dc bus. One of the inverter is connected in series and the other one is placed in shunt with on load. The different operating conditions are applied to test the ability of USSC, D-STATCOM and DVR of the custom power devices. The results showed that artificial neural network calculations have potentially strong for prediction of the better performance of components. However, the proposed ANN showed better performance of the USSC than D-STATCOM and DVR. Hence, the reduced voltage sag and swell in the distribution system mitigates the problem of failures.
DEEP LEARNING METHODOLOGY CONVERTS TEXT TO IMAGE

—Text to image synthesis refers to the method of generating images from the input text automatically. Deciphering data between picture and text is a major issue in artificial intelligence. Automatic image synthesis is highly beneficial in many ways. Generation of the image is one of the applications of conditional generative models. For generating images, GAN (Generative Adversarial Models) are used. Recent progress has been made using Generative Adversarial Networks (GAN). The conversion of the text to image is an extremely appropriate example of deep learning.
Research Online Research Online Ranking method for optimizing precision/recall of content-based image Ranking method for optimizing precision/recall of content-based image retrieval retrieval

Abstract The ranking method is a key element of content-based image retrieval (CBIR) system, which can affect the final retrieval performance. In the literature, previous ranking methods based on either distance or probability do not explicitly relate to precision and recall, which are normally used to evaluate the performance of CBIR systems. In this paper, a novel ranking method based on relative density is proposed to improve the probability based approach by ranking images in the class. The proposed method can achieve optimal precision and recall. The experiments conducted on a large photographic collection show significant improvements of retrieval performance. Abstract The ranking method is a key element of Content-based Image Retrieval (CBIR) system, which can affect the ﬁnal retrieval performance. In the literature, previous ranking methods based on either distance or probability do not explicitly relate to precision and recall, which are normally used to evaluate the performance of CBIR systems. In this paper, a novel ranking method based on relative density is proposed to improve the probability based approach by ranking images in the class. The proposed method can achieve optimal precision and recall. The experiments conducted on a large photographic collection show signiﬁcant improvements of retrieval performance.
Teachers' Adoption of Learner-Centered Technology

Teachers’ Adoption of Learner-Centered Technology Melissa C. Warr Department of Instructional Psychology and Technology, BYU Master of Science In this thesis, I describe research on teachers’ experiences with learner-centered technology. Specifically, this research investigated teachers’ experiences with adoption of the learner-centered tools available from Imagine Learning, an online elementary school literacy program. This thesis includes an extended literature review describing learner-centered classrooms, technology integration, and models of technology adoption, followed by a journalready article that describes teachers’ experiences throughout the process of adopting Imagine Learning. Finally, I provide a description my experiences throughout this project as well as a proposal for future areas of study.
Structures in galaxies: nature versus nurture. Input from theory and simulations

Galaxies, in particular disc galaxies, contain a number of structures and substructures with well defined morphological, photometric and kinematic properties. Considerable theoretical effort has been put into explaining their formation and evolution, both analytically and with numerical simulations. In some theories, structures form during the natural evolution of the galaxy, i.e. they are a result of nature. For others, it is the interaction with other galaxies, or with the intergalactic medium -- i.e. nurture -- that accounts for a structure. Either way, the existence and properties of these structures reveal important information on the underlying potential of the galaxy, i.e. on the amount and distribution of matter -- including the dark matter -- in it, and on the evolutionary history of the galaxy. Here, I will briefly review the various formation scenarios and the respective role of nature and nurture in the formation, evolution and properties of the main structures and substructures.
The Role of Crustal Accretion Variations in Determining Slab Hydration at an Atlantic Subduction Zone

: We present a 2D P-wave velocity model from the outer rise region of the Lesser Antilles island arc, the first wide-angle seismic study of outer rise processes at an Atlantic subduction zone. The survey consists of 46 OBS receivers over a 174 km profile with velocities resolved to 15 km below top basement. The final velocity model, produced through tomographic inversion, shows a clear decrease in the velocity of the lower crust and upper mantle of the incoming plate as it approaches the trench. We attribute this drop to outer rise bend-related hydration, similar to Pacific cases, but superimposed on spatial variations in hydration generated at the slow-spreading ridge axis. In thin, tectonically controlled crust formed under magma-poor spreading conditions the superposition of these sources of hydration results in compressional velocities as low as 6.5 km s -1 beneath the PmP reflector. In contrast, segments of crust interpreted as having formed under magma-rich conditions show velocity reductions and inferred hydrous alteration more like that observed in the Pacific. Hence, variations in the style of crustal accretion, which is observed on 50-100 km length scales both along and across isochrons, is a primary control over the distribution of water within the slab at Atlantic subduction systems. This heterogeneous pattern of water storage within the slab is likely further complicated by along strike variations in outer rise bending, subducting fracture zones and deformation at segment ends and may have important for our understanding of long-term patterns of hazard at Atlantic subduction systems.
Debt and demand regimes in canonical growth models: a comparison of neo-Kaleckian and Supermultiplier models

The paper addresses the features of stock-ﬂow consistent (SFC) canonical versions of neo-Kaleckian (NK) and Supermultiplier (SM) models that introduce either the accumulation of debt of households or ﬁrms. The aim of this comparison is twofold: (i) to analyze the implications of a debt accumulation process in each of these models; (ii) to evaluate the extent to which these debt accumulation processes differ due to each model’s speciﬁc closure. For that purpose, we investigate the relation of debt ratios, demand, and growth, focusing on the conditions for the paradox of debt to arise in each model; and the stability conditions of ﬁrms’ and household debt ratios. Results suggest that not only the paradox of debt in the ﬁrms’ sector is not a necessary result of SM models, but the Minskyan debt regime is the sole economically viable one in the long-run. For the NK model, as extensively explored in the literature, ﬁrms’ leverage ratio can be either pro-cyclical or anti-cyclical. About the demand regimes, in this canonical version of the SM model, ﬁrms’ debt has no direct effect on demand; as for the NK model, demand can be either debt-led or debt-burdened. As for the household sector, the paradox of debt is a feature of the canonical Supermultiplier model in the long run, yet there may be episodes of rising debt-to-income ratios and ﬁnancial crises as precipitated by policy decisions. In turn, in the neo-Kaleckian model, results are ambiguous in what concerns the two-way relation between demand and household debt.
Towards the Construction of a WordNet for Old English

In this paper we will discuss our preliminary work towards the construction of a WordNet for Old English, taking our inspiration from other similar WN construction projects for ancient languages such as Ancient Greek, Latin and Sanskrit. The Old English WordNet (OldEWN) will build upon this innovative work in a number of different ways which we articulate in the article, most importantly by treateating figurative meaning as a ‘first-class citizen’ in the structuring of the semantic system. From a more practical perspective we will describe our plan to utilize a pre-existing lexicographic resource and the naisc system to automatically compile a provisional version of the WordNet which will then be checked and enriched by Old English experts.
Analysis of SQL Injection based on Petri Net in Wireless Network

SQL injection is becoming more frequent and is urgent to be studied the defense mechanism. In this paper, a fine-grained Petri Net ( PN ) model is proposed to describe the process of SQL Boolean injection and SQL time blind injection. The results show that the speed of PN model simulating SQL injection can be scaled, such as 10 times the speed. It is conducive to faster-than-real-time simulation and prediction of unknown vulnerabilities when the injection speed is fast. It is good for fine-grained analysis of the attack and establish a patch model when the injection speed is slow. The modeling and simulation in this paper provide a theoretical guarantee for the occurrence mechanism of vulnerabilities and the discovery of unknown vulnerabilities.
D-branes of A-type, their deformations, and Morse cobordism of A-branes on Calabi-Yau 3-folds under a split attractor flow: Donaldson/Alexander-Hilden-Lozano-Montesinos-Thurston/ Hurwitz/Denef-Joyce meeting Polchinski-Grothendieck

In [L-Y5] (D(6): arXiv:1003.1178 [math.SG]) we introduced the notion of Azumaya C 1 manifolds with a fundamental module and morphisms therefrom to a complex manifold. In the current sequel, we use this notion to give a prototypical definition of supersymmetric D-branes of A-type (i.e. A-branes) – in an appropriate region of the Wilson’s theory-space of string theory – as special Lagrangian morphisms with a unitary, minimally flat connectionwith-singularity. This merges Donaldson’s picture of special Lagrangian submanifolds (1999) and the Polchinski-Grothendieck Ansatz for D-branes in a Calabi-Yau space (Sec. 2.1). The Higgsing/un-Higgsing and the large- vs. small-brane wrapping of A-branes in string theory can be achieved via deformations of such morphisms (Sec. 2.2 and Sec. 2.3). For the case of Calabi-Yau 3-folds, classical results of Alexander (1920), Hilden (1974) and Montesinos (1976), Thurston (1982), and Hilden-Lozano-Montesinos (1983) on 3-manifolds branchedcovering S 3 implies that any embedded special Lagrangian submanifold with a complex vector bundle with a unitary flat connection on a Calabi-Yau 3-fold is the image of a special Lagrangian morphism from an Azumaya 3-sphere with a fundamental module, with a unitary minimally flat connection. This suggests a genus-like expansion of the path-integral of D3-branes in type IIB string theory compactified on Calabi-Yau 3-folds that resembles the genus expansion of the path-integral of strings (Sec. 2.4.2). Similarly, for the path-integral of D2-branes and M2-branes respectively. In Sec. 3, we use the technical results of Joyce (2002-2003) on desingularizations of special Lagrangian submanifolds with conical singularities to explain how supersymmetric D3-branes thus defined can be driven and re-assemble under a reverse split attractor flow at a point on the wall of marginal stability in Type IIB superstring theory compactified on varying Calabi-Yau 3-folds, studied by Denef (2001). This last section is to be read alongside the works [De3] (arXiv:hep-th/0107152) of Denef and [Joy3: V] (arXiv:math.DG/0303272) of Joyce. To cover the basic type of deformations of morphisms from Azumaya spaces in this note and its sequel, we discuss in Sec. 1 Morse cobordisms of manifolds and their promotion to Morse cobordisms of Azumaya manifolds with a fundamental module, and of morphisms from Azumaya manifolds to complex manifolds. The notion of cone of special Lagrangian cycles in a Calabi-Yau manifold is brought out in Sec. 2.4. 1 for further study. A summary of the needed results from Joyce is given in the appendix.
Application of computer vision for construction progress monitoring

Progress monitoring of construction work is crucial to identify the discrepancies between the as-built product and as-planned design and take necessary action based on the results. Construction work is time consuming and labour intensive. However, the use of new technologies, such as computer vision (CV), in construction progress monitoring (CPM) can minimise human errors. Thus, the aim of this study was to explore the current applications of CV in the construction industry in general and in the different stages of CPM. A qualitative approach based on the Delphi technique comprising two interview rounds was used to collect the required data. The study findings revealed that CPM has seven stages: initial planning, data acquisition, information retrieval, verification, progress estimation and comparison, results visualisation and schedule updating. During these stages, CV can be used in various CPM activities, such as earthmoving operations, crane operations, formwork and rebar tracking, worker activity tracking, safety assurance, landscape identification, work item monitoring and integrating with other technologies. Familiarisation of the workforce with CV and research on the applications of CV in construction can help the construction industry to move with technology and be on par with other industries. This study would enable construction personnel to explore the possibility of applying CV in CPM. Further research on identifying the synergy between CV and CPM can be based on the study findings.
Postoperative outcome of pancreaticoduodenectomy for pancreatic ductal adenocarcinoma and predictors of 1st year mortality

Background: Due to late detection, a low percentage of resectable malignancies, and resistance to systemic therapy, pancreatic ductal adenocarcinoma (PDAC) has the poorest outcome of all pancreatic cancers. The basis of contemporary multimodal therapies aimed at long-term survival is complete lesion excision. Postoperative complications are common consequences following pancreaticoduodenectomy (PD). Objective: To investigate the outcome and factors contributing to the 1 st year survival after Whipple’s procedure for pancreatic ductal adenocarcinoma. Patients and Methods: Between January 2020 and December 2021, all patients identified with pancreatic ductal adenocarcinoma (61 individuals) who had Whipple's surgery in the surgical department at the National Cancer Institute were included in this retrospective cohort analysis. Results: Wound infection (49.2%), followed by pancreatic leak (41.7%) were the most prevalent complications among the 61 patients who received PD. The 1 st year survival rate was 77% (47/61). In multivariate assessment postoperative pancreatic fistula and adjuvant treatment were independent predictors of 1 st year survival. Conclusion: In multimodally managed patients following curative PDAC surgery, individuals who acquired a postoperative pancreatic fistula and did not get adjuvant therapy had greater 1st year death rates.
International Journal of Science and Business

A number of theories have been used to describe e-commerce adoption and use of technology. TAM, TPB, TRA, and UTAUT have been widely used to describe the adoption at the individual level. Conversely, at the organizational level, two popular theories have been used widely either alone or with other theories to describe the adoption and use of technologies (including e-commerce). These two theories are Roger’s Diffusion of Innovation (DOI) theory (1962) and technology-organizationenvironment (TOE) framework (1990). Based on the available literature sources, this paper focuses on reviewing the prominent technology adoption models at the organizational level, Technology-OrganizationEnvironmental (TOE) framework and Diffusion of Innovation (DOI) theory in order to perceive their possible future application at the organizational level. The result of this study reveals that most of the ecommerce studies preferred questionnaire method. The studies of ecommerce adoption have recently been carried out mostly in developing countries. Moreover, this paper attempts to provide a better understanding of electronic commerce adoption theories at the organizational level by conducting a literature review. IJSB Accepted 02 April 2019 Published 07 Apri 2019 DOI: 10.5281/zenodo.2631413
CoRoSeOf - An Annotated Corpus of Romanian Sexist and Offensive Tweets

This paper introduces CoRoSeOf, a large corpus of Romanian social media manually annotated for sexist and offensive language. We describe the annotation process of the corpus, provide initial analyses, and baseline classification results for sexism detection on this data set. The resulting corpus contains 39 245 tweets, annotated by multiple annotators (with an agreement rate of Fleiss’κ= 0.45), following the sexist label set of a recent study. The automatic sexism detection yields scores similar to some of the earlier studies (macro averaged F1 score of 83.07% on binary classification task). We release the corpus with a permissive license.
Light-emitting diode lamp

The LED lamp includes several LED elements, one planar circuit board, one LED fixing cover plate, one circuit board installing seat and one copper lamp base. The planar circuit board is first cut or punched to form multilayer ring holes to hold LED elements, and then fixed to the circuit board installing seat to form arced shape. The LED fixing cover plate is used to fixed the positions and irradiating angles of the LEDs. The LED lamp has wide emitting angle and homogeneous light strength and is suitable for lighting.
Parameter Estimation of Frequency Hopping Signal Based on Modulated Wideband Converter

To resolve the problems of high hardware implementation cost and low reconstruction accuracy of existing traditional greedy algorithms. This paper proposes a Bayesian orthogonal matching pursuit (BOMP) algorithm based on modulated wideband converter (MWC) to estimate the parameters of frequency hopping (FH) signals. In the frequency domain, the algorithm estimates its parameters through the sparsity of the frequency hopping signal. The FH signal is sampled by the MWC framework and reconstructed by the BOMP reconstruction algorithm. The time-frequency ridge method is then adopted to estimate the hopping duration, hopping time, and carrier frequency of the time-frequency diagram. The simulation results show that in a low signal-to-noise ratio (SNR) environment, the anti-noise performance is improved by 6dB compared with traditional methods. This method improves the accuracy of parameter estimation of frequency hopping signal and dramatically reduces the hardware pressure.
Making Sight Translation Dynamic: Eliciting Summarization as a Strategy for Simultaneous Interpretation

Focusing on the specific exercise intended for eliciting summarization strategy to mitigate content omission for novice SI trainees, this article captures and analyses relevant longitudinal data from an action research conducted to investigate the extent to which sight translation (ST) facilitates skill development and transfer for simultaneous interpreting (SI) and to explore what specific strategies novice SI students could elicit from doing a dynamic type of sight translation (DST). Based on the action research conducted with three groups of student participants enrolled in Master of Conference Interpreting Program, a one-year program in 2014, 2015 and 2016 respectively, this article specifically reports the actions in eliciting the strategy of summarization via DST exercise and examines how the students responded to such a new teaching tool in a teaching environment. While the finding confirms that the progression from declarative knowledge to procedural knowledge takes time, it also supports that DST can be a useful driver of skill development and strategy application for novice interpreters at the beginning of conference interpreting training due to its similarities to SI.
Computing Maximum Structural Balanced Cliques in Signed Graphs

—Signed graphs have been used to capture the polarity of relationships between entities through positive and negative edge signs, indicating friendly and antagonistic relationships, respectively. In this paper, we focus on (structural) balanced cliques in signed graphs, where a clique, denoted by its vertex set C , is (structural) balanced if it can be uniquely partitioned into two sets C L and C R such that all negative edges in the clique are between C L and C R . We study the maximum balanced clique problem that aims to find the balanced clique C ∗ such that min {| C ∗ L | , | C ∗ R |} ≥ τ for a user-given threshold τ and | C ∗ | is the largest possible. We propose a novel graph reduction technique by transforming the maximum balanced clique problem over a signed graph G to a series of maximum dichromatic clique problems over small subgraphs of G . That is, for a vertex u in G , we first extract the subgraph G u of G induced by vertex set V L ∪ V R , where V L is the union of u and its positive neighbors and V R is u ’s negative neighbors. Then, we remove from G u all negative edges between vertices of the same set (i.e., V L or V R ) as well as remove all positive edges between V L and V R ; denote the resulting graph of discarding edge signs as g u . We show that the maximum balanced clique containing u in G is the same as the maximum dichromatic clique (i.e., it has at least τ vertices from each of V L and V R ) containing u in g u . Due to the small size and no edge signs in g u , the maximum dichromatic clique containing u in g u can be efficiently computed by exploiting the existing pruning and bounding techniques that are designed for the classic maximum clique problem on unsigned graphs. Furthermore, we extend our techniques to the polarization factor problem which aims to find the