Miracle-dz/UniFAR-FTUs huggingface dataset:
FOR COMPUTER-BASED LABORATORIES ON POWER SYSTEM DYNAMICS AND CONTROL

The paper describes the author's experience with laboratory activities based on Jupyter Notebook for the module “Power System Dynamics and Control” in the academic year 2017/2018 at University College Dublin. Jupyter is an open-source project that started in 2014 based on IPython and has quickly become popular in the scientific and academic community. Jupyter Notebooks are basically interactive webpages, that can be easily and efficiently designed for testing live code, embedding narrative text and visualizing results. The paper shows that using Jupyter Notebooks for teaching can improve the students learning experience and minimize the need to know how to interact with a Unix server and, thereby effectively increasing the ability of the students to run more tests and simulations. An example of the lab activities proposed in the module as well as the point of view of the teaching assistant that helped run the laboratories and students’ feedback are provided in the paper.
Effect of 24-Epibrassinolide and 28-Homobrassinolide on Some Biochemical Parameters in Raphanus sativus L . Plants under Chromium Stress

The effects of 24-epibrassinolide (24-EBL) and 28-homobrassinolide (28-HBL) on protein content and the activities of Polyphenol oxidase (PPO; EC 1.10.3.1) and glutathione peroxidase (EC 1.11.1.9) were studied in the 75-days old Raphanus sativus L. cv ‘Pusa Chetaki’ plants grown under chromium (Cr) metal stress. Surface sterilized seeds of R. sativus were pre-treated with different concentrations (0 M, 10 M, 10 M and 10 M) of 24-EBL and 28-HBL for 8 h and grown in the field. The soil was treated with different concentrations (0, 0.5, 1.0 mM) of Cr metal. Seventy-five days old plants were harvested for further analysis of biochemical parameters. Cr metal treatment enhanced the protein content and PPO activity in both roots and leaves of radish plants. However, the activity of Glutathione peroxidase (GPOX) declined. The 24-EBL and 28-HBL treatments further increased the protein content and activities of antioxidant enzymes under Cr-stressed plants. _____________________________________________________________________________________________________________
A SURVEY OF BIG DATA FRAMEWORKS ON A LAYERED DATAFLOW MODEL

In the world of Big Data analytics, one can find a series of tools aiming at simplifying programming applications to be executed on clusters. Although each tool is claiming to provide better programming, data and execution models—for which only informal (and often confusing) semantics is generally provided—all share a common underlying model, namely, the Dataflow model. The Dataflow model we provide shows how various tools share the same expressiveness at different levels of abstraction. The contribution of this work is twofold: first, we show that the resulting model is (at least) as general as existing batch and streaming frameworks (e.g., Spark, Flink, Storm), thus making it easier to reason about high-level data-processing applications written in such frameworks. Second, we provide a layered model that can represent tools and applications following the dataflow paradigm and we show how the analyzed tools fit in each level.
My Friend Harry’s a Wizard: Predicting Parasocial Interaction With Characters From Fiction

We explored parasocial interactions with characters from a narrow range of books and movies, namely, those featuring the character “Harry Potter. ” Following research that suggests that parasocial interactions are multidimensional, we investigated which personality, reading, and viewing motives predicted 4 dimensions of parasocial interaction with characters in the “Harry Potter” series. The pattern of significant predictors indicated that interpersonal aspects of reading (neuroticism and reading for companionship) and sociable aspects of movie viewing (openness, agreeableness, extraversion, and viewing to be sociable) lead to greater experience of the dimensions of parasocial interaction. We suggest that these factors relate to the availability of interactive media and experiences surrounding this series, and the series representing mainstream rather than subcultural media. Results support the suggestion that parasocial interaction is multidimensional and demonstrate that factors predicting these dimensions may vary dependent on the medium in which the favored persona is presented, or on the identity of the favored persona.
On reporting frequency and intertemporal substitution e ¤ ects

The optimal reporting frequency is an important issue in accounting. In many production settings, substitution e¤ects across periods occur. This paper shows that the optimal reporting frequency depends on the strength of the substitution e¤ect and on the information content of performance signals. For a subset of parameter combinations the low-chance scenario infrequent reporting is always e¢ cient; for other parameter combinations the high-chance scenario infrequent reporting is e¢ cient as long as rst-period signals show high informativeness (and substitution e¤ects are strong). Limited commitment by the principal does not inuence results.
Identification and characterization of early photoreceptor cis-regulatory elements and their relation to Onecut 1

Background: Cone and rod photoreceptors are two of the primary cell types affected in human retinal disease. Potential strategies to combat these diseases are the use of gene therapy to rescue compromised photoreceptors or to generate new functional photoreceptors to replace those lost in the diseased retina. Cis-regulatory elements specific to cones, rods, or both types of photoreceptors are critical components of successful implementation of these two strategies. The purpose of this study was to identify and characterize the cell type specificity and activity of cis-regulatory elements active in developing photoreceptors. Methods: Cis-regulatory elements were introduced into the developing chicken and mouse retina by electroporation. Characterization of reporter activity in relation with cell type markers was determined using confocal microscopy. In addition, two high-throughput flow cytometry assay were developed to assess whether these elements were downstream of Onecut1 in the photoreceptor specification network. Results: The majority of cis-regulatory elements were active in both cone and rod photoreceptors and were largely uninfluenced by a Onecut1 dominant-negative construct. Elements associated with the Thrb, Nr2e3, and Rhodopsin genes showed highly enriched activity in cones or rods, and were affected by interference in Onecut1 signaling. Rhodopsin promoter activity was the most highly influenced by Onecut1 activity and its induction could be modulated by the Maf family transcription factor L-Maf. Nr2e3 elements were observed to have activity in cone photoreceptors and Nr2e3 protein was expressed in developing cone photoreceptors, suggesting a role for this predominant rod gene in cone photoreceptor development. Conclusions: The analysis presented here provides an experimental framework to determine the specificity and strength of photoreceptor elements within specific genetic networks during development. The Onecut1 transcription factor is one such factor that influences the gene regulatory networks specific to cones and rods, but not those that are common to both.
Chess playing robot

The invention discloses a chess playing robot which comprises a hardware system and a control system. The hardware system comprises a main body, at least one mechanical arm and at least one camera, a chessboard and at least one chess piece box are arranged on the main body, each chess piece box is arranged on the chessboard and is loaded with a plurality of chess pieces, the mechanical arms are rotationally connected with the main body, and each camera is fixedly connected with the main body by a connecting piece so as to be positioned right above the chessboard; and the control system comprises a computer and a master controller, the computer, the hardware system and the master controller are connected with one another pairwise, and the computer instructs the master controller according to chessboard images transmitted by the cameras, so that operation of the mechanical arms is controlled. The chess playing robot has the advantages that the chess playing robot is simple in structure and is light and intelligent, and functions of visual identification, pattern recognition and research, hand-eye coordination of the robot, research and verification of chess playing algorithms and the like can be realized.
Unsupervised Learning of Dense Shape Correspondence

We introduce the first completely unsupervised correspondence learning approach for deformable 3D shapes. Key to our model is the understanding that natural deformations (such as changes in pose) approximately preserve the metric structure of the surface, yielding a natural criterion to drive the learning process toward distortion-minimizing predictions. On this basis, we overcome the need for annotated data and replace it by a purely geometric criterion. The resulting learning model is class-agnostic, and is able to leverage any type of deformable geometric data for the training phase. In contrast to existing supervised approaches which specialize on the class seen at training time, we demonstrate stronger generalization as well as applicability to a variety of challenging settings. We showcase our method on a wide selection of correspondence benchmarks, where we outperform other methods in terms of accuracy, generalization, and efficiency.
AUTOMATIC CONTROL A SIMPLE FUZZY CONTROL DESIGN FOR POWERTRAIN SYSTEMS WITH THREE INERTIAS

This paper proposes a simple fuzzy control design for powertrain systems with three inertias. Considering four operating modes of the clutch, the piecewise affine state-space models offers an accurate characterization of the powertrain systems as controlled processes. A class of Takagi-Sugeno fuzzy controllers (T-S FCs) is offered with this regard. The inputs of the T-S FCs are the two variables that define the four operating regimes and they also define a partition of the fifth order statespace model, the control error and the increment of control error. The control error and the increment of control error are usually involved in structures of Mamdani and Takagi-Sugeno PI-fuzzy controllers. The control error is defined considering the wheel speed as the controlled output. Neglecting the affine terms in the piecewise affine state-space models of the process, the frequency domain design is applied to the process models in terms of neglecting the affine terms to obtain four continuous-time PI controllers. The continuous-time PI controllers are next discretized and included in the six rule consequents of T-S FCs. This modal equivalence principle-based design approach offers T-S FCs that exhibit the bumpless interpolation between separately designed linear PI controllers for each operating mode of the clutch. Digital simulation results are presented to illustrate the performance of the fuzzy control system and to compare it with the linear PI-based control system that are successfully used as wheel speed control systems.
Implementation of Inward CRM toward Organizational Effectiveness Improvement

Competitive advantage is achievable if an organization has a sustainable, focused, and flexible business strategy. Customer relationship management (CRM) is a strategy often employed by service organizations in an effort to attain competitive advantage in the marketplace. In fact, the foundational components required for successful customer relationship management (CRM) externally, have direct applicability to internal relationships between organizational IT departments and the business units they support. Business departments and staff are the “customers” of the IT department. The same relationships and communication processes must be built, nurtured and managed very similarly. Horizontal integration and alignment across organizations, especially between IT and the business units they support, is directly affected by the items described in the preceding sections. In summarizing and categorizing much of the extensive literature related to the business and IT integration and alignment problem, clear themes evolved. Relationships, communication and horizontal integration are critical and often causal success factors across each area. These factors form the foundation and building blocks for constructing a comprehensive and integrated assessment model, and a prescriptive framework for improving this internal relationship. This study tries to show the effectiveness of Applying Inward Customer Relationship Management Principles for Improving Business / IT Integration and Performance in banking industry. Our results suggest that Business units need to understand their interdependency so that there is a blending of technology with processing. Encouraging such interaction requires leadership by example, an understanding of the value to the customer and the organization, performance metrics aligned with cooperation as opposed to individual successes, and local management efforts to build cross-functional relationships.
Japanese experience to reduce road traffic noise by barriers with noise reducing devices

The history of development for novel designed noise barriers in Japan is described. These are called edge modified noise barriers which have noise reducing devices at the top position of the barriers. This kind of barriers has been developed since 1980's. The application to road traffic noise and the noise reducing abilities are shown. Finally recent new types of barriers are present. PACS no. 43.50. Gf
Using Microsatellites to Understand the Genetic Structures of Native and Invasive Populations of the Comb Jelly

Mnemiopsis leidyi is one of the most notorious invasive marine species in the world. It is native to the Atlantic coast of North and South America, and is invasive in Eurasian waters via ballast water transfer. There have been two separately recorded invasions, one in the North and Baltic Seas and one in the Black and Mediterranean Seas. Invaded areas experience adverse ecological impacts, including fishery collapses and decreased biodiversity. Using six previously developed microsatellite primers, we analyzed individuals collected from its native range, northern Europe, and southern Europe, with a focus on the native range and southern Europe. We found at least two genetically structured clusters in the native range, with the potential for at least 15 clusters using a range of F statistics and geography. Additionally, we found weak evidence for a genetic bottleneck effect, and the reduced genetic diversity in the invasive range could be explained through a combination of the founder effect, genetic bottlenecks, propagule pressure, and population growth. Finally, we found that individuals from the northern invasion originate from the native northern cluster and that individuals from the southern invasion originate from the native southern cluster. The addition of more microsatellites to our analysis has the ability to increase the power and accuracy of all our tests and analysis, as suggested by our preliminary analysis with an additional six microsatellites, giving us a total of 12 microsatellites. These results will aid in providing more information and motivation for effective ballast water management.
# Initial # cwnd 2 . " Connection Manager " Cwnd Table Data Collector " Performance Oriented " Learning 1

Current TCP is very inefficient for web services. Web transactions are often very short-lived. TCP flow starts with a conservative initial congestion window (IW), which causes multiple round-trip times to finish the transmission even if the end-to-end bandwidth is sufficient for the transaction to be finished in one round-trip time. Previous research efforts have been focusing on finding the overall best IW for the entire Internet or a service company. However, we observe that oneIW-fits-all is suboptimal after one year of online measurement in Baidu, one of the top global search engine companies. To reduce the TCP latency, we propose TCP WISE, which dynamically assigns suitable IWs for different user cluster at different times on the server side. The values of users’ IWs are proactively learned based on the historical experience on the server-side. Our testbed experiments show that our learning algorithm can handle the network changes and converge to the best IW. We have deployed TCP WISE in one of Baidu’s production data center, and results shows that the 80 percentile latency of the HTTP responses has been reduced by 10.4% compared with current TCP with a fixed IW of 10.
3 D Shape Completion and Canonical Pose Estimation with Structured Neural Networks

3D point cloud is an efficient and flexible representation of 3D structures and the raw output of many 3D sensors. The ability to learn useful representations from 3D point cloud data is thus of great value to autonomous agents that perceive and interact with the surrounding 3D environment. Recently, neural networks operating on point clouds have shown superior performance on various 3D understanding tasks, thanks to their power to extract task-specific semantic features directly from points. In this thesis, we study how to incorporate geometric and algorithmic structures into the design of neural networks in order to achieve more effective and efficient learning from raw point clouds. In particular, we investigate two problems – 3D shape completion and canonical pose estimation – that address two essential characteristics of 3D data in the wild: incompleteness and misalignment. We show that the structured neural networks we propose outperform alternative approaches that do not incorporate structural priors on synthetic benchmarks and demonstrate the potential of our networks to operate on challenging real world data such as LiDAR scans collected from an autonomous vehicle.
ALGORITHM FOR AUTOMATIC CLUSTERING OF LEARNING MATERIALS BASED ON THE USAGE STATISTICS

Semantic web technologies brought to the desktop by the Nepomuk 1 project can prove to be useful in design of the next-generation e-learning systems due to a high level of data interchangeability between different components of the system and programs. In this article, we will present one of the potential applications of the so called “semantic desktop” when applied to usage behaviour and document classification. This research is implemented as a part of the KDE Contour system and has been successfully tested in real-world environment.
THE CCPP-ARM PARAMETERIZATION TESTBED (CAPT): EVALUATING CLIMATE MODELS IN A WEATHER FORECASTING FRAMEWORK

In practice, the reduction of GCM systematic errors entails both increases in the resolution at which the model state variables (e.g. for atmospheric GCMs, the pressure, temperature, moisture, and wind fields) are predicted, and improvements in the parameterizations of unresolved sub-grid processes (e.g. radiation, clouds, convection, precipitation microphys ics, turbulent fluxes and diffusion). In GCMs designed for climate simulations (hereafter, "climate GCMs"), parameterization development is especially important for correct representation of relevant processes .
METAMATERIAL INSPIRED STRUCTURE WITH OFFSET-FED MICROSTRIP LINE FOR MULTI BAND OPERATIONS

A miniaturized rectangle-shaped complementary split ring radiating element with an offsetfed microstrip line is reported for multiband operations. The fabricated antenna with a compact size of 19×19×1.6 mm3 is designed on an FR-4 substrate with loss tangent tan δ = 0.02 and dielectric constant (εr) of 4.4. Multiband and antenna miniaturization are achieved by a complementary split ring radiating element, and it produces an impedance bandwidth of 40 MHz resonance at 3.03 GHz, 40 MHz resonance at 3.66 GHz, and 1470 MHz resonance at 5.5 GHz. The passband behaviour of the complementary split ring radiating element is studied in detail for obtaining multiband abilities of the miniaturized antenna. The metamaterial property of the complementary split ring radiating element is analyzed, by which the negative permittivity (ε) existence and the new resonance frequency are confirmed. The fabricated antenna shows optimum performance at the measured radiation characteristics.
HELIOS 2007 Team Description

HELIOS2007 is a 2D soccer simulation team which has been participating in the RoboCup competition since 2000. This paper describes the overview and the research focus of HELIOS2007. Our main goal is to develop a more realistic simulated soccer team. In particular, we are interested in applying a human’s training operations without programming knowledge into the soccer agent’s decision making. For this purpose, some GUI tools have already been developed. And, we propose a novel positioning mechanism, which utilizes the Delaunay Triangulation and can be adjusted by human’s intuitive operations using our GUI tool. Our positioning mechanism has many advantages than previous methods.
3D Human Pose Estimation From Multi Person Stereo 360 Scenes

This paper presents a human tracking and 3D pose estimation algorithm for use with a pair of 360 cameras. We identify and track an individual throughout complex, multiperson scenes in both indoor and outdoor environments using appearance models and positional data, and produce a temporally consistent 3D skeleton by optimising a skeleton of realistic joint lengths over joint positions produce by Convolutional Pose Machines (CPMs). Our results show an average improvement of 22.67% over state of the art deep learning approaches for tracking, as well as reasonable estimates for pose using just two cameras.
Effects of A Universal Design for Learning Based Literature Circle Model on Higher-Order Reading Comprehension Skills and Student Engagement

Outcomes related to students’ higher-order reading comprehension skills and their academic and intellectual engagement, following the implementation of a UDL-based literature circles pedagogical model were investigated in this mixed design study. Fifty-nine students attending three public middle schools took part in this study. Quantitative data were collected from all the 59 students, while qualitative data were collected from a purposively selected sub-sample of 24 students. Quantitative and qualitative data were analyzed using repeated measures (MANOVA) and a case study approach, respectively. Quantitative results indicated a small but significant increase in reading comprehension outcomes for proficient and typical readers in treatment groups compared to control classes, and a significantly greater increase in reading comprehension outcomes for students who were culturally and linguistically diverse struggling readers in treatment classes. Qualitative results indicated that students’ academic and intellectual engagement increased in the treatment classes for both proficient and struggling readers.
Assessment of Non-Native Children ’ s Pronunciation : Human Marking and Automatic Scoring

The paper investigates automatic rating of non-native children’s pronunciation. We have designed a set of 28 pronunciationfeatures; when classification is performed in high-dimensional feature space best recognition-results can be achieved. Different measures to evaluate inter-rater agreement and the machine score are proposed. In the European project Pf-Star data of native and non-native children has been recorded; the German children reading English texts have been graded by 13–14 raters. When classifying 5 sentence-level marks the result can be interpreted as 73 % correct. Looking at a longer context, recognition becomes more robust. On the speaker level error and correlation is comparable with some of the human raters.