Miracle-dz/UniFAR-FTUs huggingface dataset:
Predicting the Evolution Process of Infrastructure Networks With an NSIPA Link Prediction Method

Infrastructure networks, such as power grids, have been developing rapidly. There is a growing demand for predicting the future evolution process of power grids in the planning of infrastructure systems. As the structure of power grids evolves to be more complex, the grids can be studied under complex network theory by extracting structural properties. Accordingly, the prediction of the evolution process of power grids can be regarded as a link prediction problem. To correspond with the actual self-organization regulations of power grids, a novel link prediction model based on preferential attachment is proposed in this brief. After experimenting on several real world power grids, results show that our model outperforms six other popular models in various kinds of realistic networks. It is demonstrated as a possible methodology for solving the prediction problem of power grid evolution.
T RAINING M ODE OF M ENTAL H EALTH Q UALITY OF C OLLEGE S TUDENTS IN A LL -M EDIA E NVIRONMENT

The mental health quality of college students directly affects their success and development. However, the effect of mental health quality education is inevitably influenced by the environmental changes. Therefore, this paper aims to design a training mode of mental health quality for college students in all-media environment. Based on the theories of pedagogy, communication and psychology, the author firstly discussed the essence and connotation of mental health quality education for college students. Then, the college education of mental health quality was divided into three stages, according to the features of mental health development of college students in the all-media environment. On this basis, the author determined the categories and levels of objectives in different stages, and put forward the guarantee mechanism of the mental health quality of college students in the all-media environment. This paper provides a reference for the innovation in mental health education in the all-media environment.
Chapter 6 Weight of Evidence for the Microplastic Vector Effect in the Context of Chemical Risk Assessment

The concern that in nature, ingestion of microplastic (MP) increases exposure of organisms to plastic-associated chemicals (the ‘MP vector effect’) plays an important role in the current picture of the risks of microplastic for the environment and human health. An increasing number of studies on this topic have been conducted using a wide variety of approaches and techniques. At present, the MP vector effect is usually framed as ‘complex’, ‘under debate’ or ‘controversial’. Studies that critically discuss the approaches and techniques used to study the MP vector effect, and that provide suggestions for the harmonization needed to advance this debate, are scarce. Furthermore, only a few studies have strived at interpreting study outcomes in the light of environmentally relevant conditions. This constitutes a major research gap, because these are the conditions that are most relevant when informing risk assessment and management decisions. Based on a review of 61 publications, we propose evaluation criteria and guidance for MP vector studies and discuss current study designs using these criteria. The criteria are designed such that studies, which fulfil them, will be relevant to inform risk assessment. By critically reviewing the existing literature in the light of these criteria, a weight of evidence assessment is provided. We demonstrate that several studies did not meet the standards for their conclusions on the MP vector effect to stand, whereas others provided overwhelming evidence that the vector effect is unlikely to affect chemical risks under present natural conditions. A. A. Koelmans (*) · N. J. Diepens · N. H. Mohamed Nor Aquatic Ecology and Water Quality Management Group, Wageningen University & Research, Wageningen, The Netherlands e-mail: bart.koelmans@wur.nl; noel.diepens@wur.nl; Hazimah.mohamednor@wur.nl
Full-scale field test of a model predictive control system for a 3MW wind turbine

Model predictive control (MPC) is a strong candidate for modern wind turbine control. While the design of model predictive wind turbine controllers in simulations has been extensively investigated in academic studies, the application of these controllers to real wind turbines reveals open research challenges. In this work, we focus on the validation of a linear time-variant MPC system for a 3MW wind turbine in a full-scale field test. First, the study proves the MPC’s capability to control the real wind turbine in the partial load region. Compared to the turbine’s baseline PID controller, the MPC system offers similar results for the electrical power output and for the occurring mechanical loads. Second, the study validates a previously proposed, simulation-based rapid control prototyping process for a systematic MPC development. The systematic development process allows to completely design and parameterize the MPC system in a simulative environment independent of the real wind turbine. Through the rapid control prototyping process, the MPC commissioning in the wind turbine’s programmable logic controller can be realized within a few hours without any modifications required in the field. Thus, this study establishes the proof of concept for a linear time-variant MPC system for a 3MW wind turbine in a full-scale field test and bridges the gap between the control design and field testing of MPC systems for wind turbines in the multi-megawatt range. Sebastian Dickler sebastian.dickler@rwth-aachen.de 1 Institute of Automatic Control, RWTH Aachen University, Campus-Boulevard 30, 52074 Aachen, Germany 2 W2E Wind to Energy GmbH, Grubenstraße 44, 18055 Rostock, Germany
Adaptive Heterogeneous Multi-Population Cultural Algorithm

Optimization problems is a class of problems where the goal is to make a system as effective as possible. The goal of this research area is to design an algorithm to solve optimization problems effectively and efficiently. Being effective means that the algorithm should be able to find the optimal solution (or near optimal solutions), while efficiency refers to the computational effort required by the algorithm to find an optimal solution. In other words, an optimization algorithm should be able to find the optimal solution in an acceptable time. Therefore, the aim of this dissertation is to come up with a new algorithm which presents an effective as well as efficient performance. There are various kinds of algorithms proposed to deal with optimization problems. Evolutionary Algorithms (EAs) is a subset of population-based methods which are successfully applied to solve optimization problems. In this dissertation the area of evolutionary methods and specially Cultural Algorithms (CAs) are investigated. The results of this investigation reveal that there are some room for improving the existing EAs. Consequently, a number of EAs are proposed to deal with different optimization problems. The proposed EAs offer better performance compared to the state-of-the-art methods. The main contribution of this dissertation is to introduce a new architecture for optimization algorithms which is called Heterogeneous Multi-Population Cultural Algorithm (HMP-CA). The new architecture first incorporates a decomposition technique to divide the given problem into a number of sub-problems, and then it assigns the sub-problems to different local CAs to be optimized separately in parallel. In order to evaluate the proposed architecture, it is applied on numerical optimization problems. The evaluation results reveal that HMP-CA is fully effective such that it can find the optimal solution for every single run. Furthermore, HMP-CA outperforms the state-of-the-art methods by offering a more efficient performance. vii The proposed HMP-CA is further improved by incorporating an adaptive decomposition technique. The improved version which is called Adaptive HMP-CA (A-HMP-CA) is evaluated over large scale global optimization problems. The results of this evaluation show that HMP-CA significantly outperforms the state-of-the-art methods in terms of both effectiveness and efficiency.
Benefit Points for the Project

We start by looking at projects and their most abstract product elements, the epics, and show how to estimate their benefit using benefit points. Then we show how to sort epics according to a benefit-cost index to help decide the order in which to put epics into releases. Instantiating points with a monetary value provides added means of prioritizing and determining when to stop sending epics into construction. We show two modes of estimating benefit: one where the purpose is to fulfil a given goal (confirmatory mode), and the other where the purpose is to explore where to set the goal (exploratory mode).
Genome‐Wide Identification and Expression Analyses of CONSTANS‐Like Family Genes in Cucumber (Cucumis sativus L.) Zhen Tian1 · Xiaodong Qin1 · Hui Wang1 · Ji Li1 · Jinfeng Chen1

The CONSTANS-like (COL) gene family is one of the plant-specific transcription factor families that play important roles in plant growth and development. However, the knowledge of COLs related in cucumber is limited, and their biological functions, especially in the photoperiod-dependent flowering process, are still unclear. In this study, twelve CsaCOL genes were identified in the cucumber genome. Phylogenetic and conserved motif analyses provided insights into the evolutionary relationship between the CsaCOLs. Further, the comparative genome analysis revealed that COL genes are conserved in different plant species, especially collinearity gene pairs related to CsaCOL5. Ten kinds of cis-acting elements were vividly detected in CsaCOLs promoter regions, including five light-responsive elements, which echo the diurnal rhythm expression patterns of seven CsaCOL genes under SD and LD photoperiod regimes. Combined with the expression data of developmental stage, three CsaCOL genes are involved in the flowering network and play pivotal roles for the floral induction process. Our results provide useful information for further elucidating the structural characteristics, expression patterns, and biological functions of COL family genes in many plants
Housing circumstances and quality of life among local and immigrant population in Norwegian neighbourhoods

This paper explores the relationship between the concept of quality of life (QoL) and housing circumstances among the immigrant and local population of two neighbourhoods in Norway: Storhaug in Stavanger and Grünerløkka in Oslo. Objective data regarding housing circumstances, e.g., type of residence, dimension or overcrowding, is collected through spatial analysis and desktop-research. Inhabitants of these neighbourhoods are interviewed with the help of map-based questionnaires to collect both objective data regarding these housing circumstances as well as subjective data, e.g. reason of location and personal satisfaction with housing and QoL. The objective and subjective data is analysed geographically and statistically. This study finds that the immigrant group has less favourable housing circumstances than the local population. Circumstances such as type of residence, the reason of location and satisfaction with the residence are predictors for satisfaction with QoL between both groups. Being local or immigrant, as well as the study area, Storhaug and Grünerløkka, or the type of ownership were not significant predictors of satisfaction with QoL in this specific study. These findings provide a base for understanding the importance of housing circumstances for QoL. Due to the high percentage of the immigrant population and its projection in Norway, these investigations are expected to help practitioners identify housing features and design aspects that can impact on the overall satisfaction with QoL of both host and immigrant society.
Biologically Inspired and Rehabilitation Robotics

The Institute of Advanced Biomedical Engineering System, School of Life Science, Beijing Institute of Technology, No. 5, Zhongguancun South Street, Haidian District, 100081 Beijing, China Kagoshima University, Kagoshima, Japan Khalifa University Center for Autonomous Robotics Systems and Department of Mechanical Engineering, Khalifa University of Science and Technology, PO Box, 127788 Abu Dhabi, UAE
Impedance Transforming 3-Db 90° Hybrids

Design techniques and performance results for impedance transforming 3-dB 90° hybrids are presented. A broadband hybrid with 50- to 20-Omega impedance transformation has been realized by tandem connection of coupled-line sections. Measured results show an amplitude balance of 3.7 +- 0.68 dB and return loss and isolation of approximately 15 dB over the 3- to 5-GHz range. Test results for a 50-Omega tandem hybrid and a 50- to 25-Omega branch-line hybrid are also presented.
Workspace analysis of the bogie 6-degree-of-freedom dynamic simulation test bench

The bogie 6-degree-of-freedom dynamic simulation test bench can simulate various operating conditions of the bogie through coordinated movement of the three parallel 6-degree-of-freedom motion platforms; however, the motion of the platforms will be interfered by some space obstacles. In order to obtain the collision-free workspace of the 6-degree-of-freedom motion platforms, a limit boundary–search method based on the collision-detection model is proposed. The structure of three parallel 6-degree-of-freedom motion platforms is analyzed, and its inverse kinematics model is established. Considering its internal constraints, the constraint models of the actuators’ stroke and the spherical hinges angle are established. Based on the collision-detection method between convex polygons, the minimum distance-detection models between platforms and obstacles as well as between actuators and obstacles are established. Then the limit boundary–search method is used to search for all boundary points that satisfy the constraint conditions. Finally, the correctness and feasibility of the proposed method and models are verified by some simulation examples. The proposed research avoids collisions effectively and provides a reference for the optimal design of the test bench.
Assessment of Community-Based Activities to Reduce Assessment of Community-Based Activities to Reduce Human–Elephant Conflict in Nepal Human–Elephant Conflict in Nepal

Human-elephant conflict (HEC) is a growing problem in Nepal. The Asian elephant ( Elephas maximus ) is the one of the most dangerous wildlife species in Nepal, causing more than 40% of wildlife conflicts with humans and 70% of human casualties. We developed an approach to assess the implementation of community-based HEC activities, and tested it in the buffer zone of the Chitwan National Park in southern Nepal. We conducted focus group sessions in 17 villages, rated 15 attributes in each community, and tested for significant correlations between the attributes. The communities implemented a wide range of community-based HEC activities with varying success. We found that communities with experience managing community forests tended to be more successful in implementing community based HEC activities. We recommend that the national park seek ways to speed up the lengthy process of registering community forests in the buffer zone villages, and provide additional technical and financial support to community-based HEC programs.
A comparison of sequential learning methods for incomplete data

This invention relates to an improved golf ball retriever of the type which may be lowered directly over the ball. The retriever has a telescopic handle for reaching into water hazards and the like. The handle is pivotally connected to a body member which has a pair of lower forwardly extending curved arms and a retaining ring pivotally connected at its rear to the body member at a point above the plane of the curved arms. Thus the retaining ring normally slopes forwardly downward and rests on the ends of the curved arms. The ring is slightly larger in diameter than a golf ball and when the retriever is lowered over a golf ball, the ring pivots slightly upward to increase the effective size of the opening between it and the curved arms to allow the ball to pass therethrough. When it has, the ring drops down past the outside of the ball, and the retriever is then lifted upwards with the ball engaged by the ring and the curved arms. The body member has an upper curved holding finger which prevents the ball from being dislodged and to which the handle is pivotally connected. This structure provides the advantage that the ball may be released simply by resting the body member on the ground and pulling forward on the handle. This automatically pivots the body portion about the ball and the retaining ring to release the ball. In other embodiments, the retaining ring may be rectangular or triangular with the body portion having arms to match.
From Marketing to Project Management

This paper aims to convey the results of doctoral research that has clarified relations between marketing and project activity, especially the links between marketing and project management. The actions favorable to the process of project marketing will be also pointed out, as well as the development of this process within the business-to-business sector. Six variables-actions, which are decisive for the advancement of project marketing process, are put forward. Internal and external resources to be mobilized according to the four phases that are also identified for project marketing are: pre-project marketing, marketing at the start of the project, ongoing project marketing, and marketing intended to create the conditions of a future project (based on the process master of an ongoing project). A dynamic process model of project marketing is proposed, which highlights the link with project management, and envisages further researches perspectives for a useful and successful merge between the two disciplines.
THE THREE-DIMENSIONAL FLOW SIMULATION OF A FLAPPING WING

This study investigates three-dimensional (3D) flow fields around a flapping wing with a span of 20 cm. Numerical simulations are performed by varying the simulation mesh density for a half-flapping-wing profile with wind tunnel domain for flapping stroke angles of 53° and 90°. Wind velocities ranging from 1 to 3 m/s, variation in flapping frequency of 14-15 Hz, and corresponding lift characteristics are obtained. Comparative evaluation of numerical and experimental lift force data reveals the translational and rotational lift phenomena of Dickinson’s mechanisms. The stream line that flows over the 3D wing profile is found to be in good agreement with the existing smoke trace experimental data. The motions of a flapping wing obtained through 3D stereo photography and COMSOL Multiphysics simulation are compared and the aerodynamic characteristics are exploited. The streamwise and spanwise 3D velocity fields with intercepting planes at three chord sections are explored, and the reverse Karman vortex sheet is observed. The comparison of the simulation and experimental results for a 3D flapping wing provides insight into the motion characteristics of a flapping wing and flapping wing aerodynamic analysis of micro air vehicles.
First report of powdery mildew of rainforest spinach (

Powdery mildew-infected rainforest spinach (Elatostema reticulatum) plants were found in Queensland, Australia. Based on morphology and nrDNA ITS sequence analyses, the pathogen was identified as Podosphaera xanthii, a powdery mildew species with a worldwide distribution and a broad host range. This is the first record of P. xanthii infecting E. reticulatum, and the first powdery mildew infection recorded for this native Australian plant.
TOPICAL REVIEW: The defining length scales of mesomagnetism: a review

This review is intended as an introduction to mesomagnetism, with an emphasis on what the defining length scales and their origins are. It includes a brief introduction to the mathematics of domains and domain walls before examining the domain patterns and their stability in 1D and 2D confined magnetic structures. This is followed by an investigation of the effects of size and temperature on confined magnetic structures. Then, the relationship between mesomagnetism and the developing field of spin electronics is discussed. In particular, the various types of magnetoresistance, with an emphasis on the theory and applications of giant magnetoresistance and tunnelling magnetoresistance, are studied. Single electronics are briefly examined before concluding with an outlook on future developments in mesomagnetism.
Agriculture and Wetland Applications 3

Based on experimental results, this chapter describes applications of SAR polarimetry to extract relevant information on agriculture and wetland scenarios by exploiting differences in the polarimetric signature of different scatterers, crop types and their development stage depending on their physical properties. Concerning agriculture, crop type mapping, soil moisture estimation and phenology estimation are reviewed, as they are ones with a clear benefit of full polarimetry over dual or single polarimetry. For crop type mapping, supervised or partially unsupervised classification schemes are used. Phenology estimation is treated as a classification problem as well, by regarding the different stages as different classes. Soil moisture estimation makes intensive use of scattering models, in order to separate soil and vegetation scattering and to invert for soil moisture from the isolated ground component. Then, applications of SAR polarimetry to wetland monitoring are considered that include the delineation of their extent and their characterisation by means of polarimetric decompositions. In the last section of the chapter, the use of a SAR polarimetric decomposition is shown for the assessment of the damages consequential to earthquakes and tsunamis.
Flow and the dynamics of conscious thought

The flow construct has been influential within positive psychology, sport psychology, the science of consciousness, the philosophy of agency, and popular culture. In spite of its longstanding influence, it remains unclear [a] how the constituents of the flow state ‘hang together’—how they relate to each other causally and functionally—[b] in what sense flow is an ‘optimal experience,’ and [c] how best to describe the unique phenomenology of the flow state. As a result, difficulties persist for a clear understanding of the flow state’s structure and function. After explicating the standard view of the flow construct (section one), I articulate several basic questions regarding its nature and functional roles (section two), and I argue that these questions are best answered by integrating flow within broader streams of research on the dynamics of thought, on cognitive control resource allocation, and on creative thought (sections three and four).