Miracle-dz/UniFAR-FTUs huggingface dataset:
Output Power Smoothing for Wind Turbine Permanent Magnet Synchronous Generators Using Rotor Inertia

Abstract Due to wind speed variations, the output power of wind turbines fluctuates. This power fluctuation can cause frequency deviations and power outage, particularly when wind power penetration is significant. Energy storage devices, such as batteries, ultracapacitors, super inductors, and flywheels can be utilized in a hybrid system to solve this problem. These methods are effective, but they impose a significant additional cost to the system. This article presents a novel control method to mitigate the power fluctuations using the rotor inertia as an energy storage component. Therefore, the additional energy storage system is not required. The proposed method is also modified to obtain better energy capturing efficiency. The efficiency of the algorithm is evaluated based on developed equations. The energy extracting capability using this method is comparable to other methods such as the maximum power extraction algorithm. Simulation studies for various cases are performed on a permanent magnet synchronous generator, which verify the theoretical analysis.
Strategy for Test Paper Composition Based on Genetic Algorithm

Recently, with rapid development of computer/network technology and algorithms for composing test paper, cyber-based online examination system is a practically valuable hot research concern. In the paper, the mathematical model is created for solving problems with the online test paper composition system. Through comparative analysis of merits and shortcomings of various coding schemes, and to overcome the shortcoming that traditional genetic algorithms easily fall into premature convergence, it utilizes the adaptive adjustment method of dynamic parameters and elitist strategy to improve to develop the online test paper forming scheme based on adaptive genetic algorithm. For the selection of each parameter, simulation test is conducted to obtain the solution approximate to the best one.
Process-independent force characterization for metal-cutting simulation

Obtaining accurate baseline force data is often the critical step in applying machining simulation codes. The accuracy of the baseline cutting data determines the accuracy of simulated results. Moreover, the testing effort required to generate suitable data for new materials determines whether simulation provides a cost or time advantage over trial-and-error testing. The efficiency with which baseline data can be collected is limited by the fact that simulation programs do not use standard force or pressure equations, so that multiple sets of tests must be performed to simulate different machining processes for the same tool-workpiece material combination. Furthermore, many force and pressure equations do not include rake angle effects, so that separate tests are also required for different cutter geometries. This paper describes a unified method for simulating cutting forces in different machining processes from a common set of baseline data. In this method, empirical equations for cutting pressures or forces as a function of the cutting speed, uncut chip thickness, and tool normal rake angle are fit to baseline data from end turning, bar turning, or fly milling tests. Forces in specific processes are then calculated from the empirical equations using geometric transformations. This approach is shown to accuratelymore » predict forces in end turning, bar turning, or fly milling tests on five common tool-work material combinations. As an example application, bar turning force data is used to simulate the torque and thrust force in a combined drilling and reaming process. Extrapolation errors and corrections for workpiece hardness variations are also discussed. « less
Antipatterns: Managing Software Organizations and People, Second Edition

Emphasizing leadership principles and practices, Antipatterns: Managing Software Organizations and People, Second Edition catalogs 49 business practices that are often precursors to failure. This updated edition of a bestseller not only illustrates bad management approaches, but also covers the bad work environments and cultural traits commonly found in IT, software development, and other business domains. For each antipattern, it describes the situation and symptoms, gives examples, and offers a refactoring solution. The authors, graduate faculty at Penn State University, avoid an overly scholarly style and infuse the text with entertaining sidebars, cartoons, stories, and jokes. They provide names for the antipatterns that are visual, humorous, and memorable. Using real-world anecdotes, they illustrate key concepts in an engaging manner. This updated edition sheds light on new management and environmental antipattems and includes a new chapter, six updated chapters, and new discussion questions. Topics covered include leadership principles, environmental antipatterns, group patterns, management antipatterns, and team leadership. Following introductory material on management theory and human behavior, the text catalogs the full range of management, cultural, and environmental antipatterns. It includes thought-provoking exercises that each describe a situation, ask which antipatterns are present, and explain how to refactor the situation. It provides time-tested advice to help you overcome bad practices through successful interaction with your clients, customers, peers, supervisors, and subordinates.
Analysis of return-to-zero-on-off-keying over absolute polar duty cycle division multiplexing in dispersive transmission medium

We propose and investigate a technique to reduce the spectral width as well as increase the tolerance to chromatic dispersion (CD) using improved return-to-zero (RZ) on-off-keying (OOK) over absolute polar duty cycle division multiplexing (AP-DCDM) technique. The proposed channel multiplexing and demultiplexing are performed electrically using only one modulator for n number of users, which is very economical. It is demonstrated that the spectral width occupied by 30 Gb/s RZ-OOK without AP-DCDM measured at -20 dB from the peak power is around 105 GHz whereas, this value can be reduced to around 64 GHz for 30 Gb/s RZ-OOK over AP-DCDM. This amount of saving in the spectral width is a significant achievement, which leads to better tolerance to CD. Its tolerance to CD is in the range of plusmn109 and plusmn155 ps/nm, for the worst and the best users, respectively. These values are higher than that of 30 Gb/s conventional RZ-OOK, which is around plusmn86.5 ps/nm. At 120 Gb/s RZ-OOK over AP-DCDM (the worst user) has pre-amplified receiver sensitivity and optical signal to noise ratio (OSNR) of -22.5 dBm and 28.57 dB, respectively.
Ex-Vivo Adhesion of Enterococcus faecalis and Enterococcus faecium to the Intestinal Mucosa of Healthy Beagles

Simple Summary Bacterial adhesion to the intestinal mucosa appears to be an important feature for probiotics. When selecting bacteria for probiotic use, those with high ability to attach to the intestines are preferred. Specific strains of Enterococcus faecalis and Enterococcus faecium have been used as probiotics or feed additives. Due to the lack of information in dogs, we aimed (1) to investigate the intra- and inter-host species adhesion of E. faecalis and E. faecium to the duodenal mucosa of six healthy beagles using bacteria derived from dogs and chickens, and (2) to validate a method of quantifying the adhesion of Alexa Fluor stain-labeled bacteria to paraffin-embedded canine duodenal mucosa. Our results show that both canine- and chicken-derived E. faecalis strains adhered better than E. faecium to the duodenal mucosa of beagles. In addition, canine E. faecalis and E. faecium adhere in higher numbers to canine duodenal mucosa, compared to chicken-derived strains of the same species. Our results suggest that both the bacterial strain and the host species may influence the mucosal adhesion properties of E. faecalis and E. faecium. Abstract Some Enterococcus faecalis and E. faecium strains are used as probiotics or feed additives. Adherence to the intestinal mucosa is considered a crucial step for intestinal bacteria to colonize and further interact with the host epithelium and the immune system. In dogs, there are no studies investigating the adhesion of E. faecalis and E. faecium to paraffin-embedded intestinal mucosa. Therefore, we aimed to investigate the adhesion of E. faecalis and E. faecium to the intestinal mucosa of six healthy beagles using bacteria derived from dogs and chickens. In addition, we aimed to validate a method to test the adhesion of Alexa Fluor-labeled bacteria to paraffin-embedded canine intestinal mucosa. The results of our study show that both canine- and chicken-derived E. faecalis strains adhered significantly better than E. faecium to the duodenal mucosa of healthy beagles (p = 0.002). In addition, canine E. faecalis and E. faecium adhered in higher numbers to canine duodenal mucosa, compared to chicken-derived strains of the same species (p = 0.015 for E. faecalis and p = 0.002 for E. faecium). The determination of the hydrophobicity of bacteria revealed that canine E. faecalis had the highest hydrophobicity level (36.6%), followed by chicken E. faecalis (20.4%), while canine E. faecium (5.7%) and chicken E. faecium (4.5%) had the lowest levels. Our results suggest that both the bacterial species and the host origin of the strain may influence mucosal adhesion.
Challenges and lessons learned in the deployment of an offshore oscillating water column

Purpose – The purpose of this paper is to disseminate the lessons learned from the successful deployment of a wave energy converter (WEC) and accelerate growth in the field of ocean energy. Design/methodology/approach – A thorough, well structured, documented, industrial approach was taken to the deployment because of the depth and scale of the task required. This approach is shown throughout the paper, which reflects the importance of a comprehensive project plan in success as well as failure. Findings – The findings demonstrate the viability of the use of off shore WEC to generate electricity and that such a project can be completed on time and on budget. Research limitations/implications – The research implications of the paper include the importance of an enhanced, integrated supervisory system control in terms of efficiency, operation and maintenance, and long-term viability of WECs. This paper can be used to help guide the direction of further research in similar areas. Practical implications – The .
Center of excellence for small robots

The mission of the Unmanned Systems Branch of SPAWAR Systems Center, San Diego (SSC San Diego) is to provide network-integrated robotic solutions for Command, Control, Communications, Computers, Intelligence, Surveillance, and Reconnaissance (C4ISR) applications, serving and partnering with industry, academia, and other government agencies. We believe the most important criterion for a successful acquisition program is producing a value-added end product that the warfighter needs, uses and appreciates. Through our accomplishments in the laboratory and field, SSC San Diego has been designated the Center of Excellence for Small Robots by the Office of the Secretary of Defense Joint Robotics Program. This paper covers the background, experience, and collaboration efforts by SSC San Diego to serve as the "Impedance-Matching Transformer" between the robotic user and technical communities. Special attention is given to our Unmanned Systems Technology Imperatives for Research, Development, Testing and Evaluation (RDT&E) of Small Robots. Active projects, past efforts, and architectures are provided as success stories for the Unmanned Systems Development Approach.
Evaluation of Fault Location based on Voltage Sags Profiles: a Study on the Influence of Voltage Sags Patterns

Research and development of fault location techniques for distribution system have been given a great emphasis to enhance reliability and quality of power supply. In a recent work, a comprehensive fault location method based on voltage sag profile has been proposed. In relation with this method, this paper presents a further test to evaluate the method performance by using a non-homogenous and unbalanced distribution network. A focus is given more on the influence of voltage sags patterns to the performance of the method. The test results present the strength and limitation of the method when applied for different fault resistances, loading variation and load models.
Polymer-based nanopiezoelectric generators for energy harvesting applications

Abstract Energy harvesting from ambient vibrations originating from sources such as moving parts of machines, fluid flow and even body movement, has enormous potential for small power applications, such as wireless sensors, flexible, portable and wearable electronics, and bio-medical implants, to name a few. Nanoscale piezoelectric energy harvesters, also known as nanogenerators (NGs), can directly convert small scale ambient vibrations into electrical energy. Scavenging power from ubiquitous vibrations in this way offers an attractive route to provide power to small devices, which would otherwise require direct or indirect connection to electrical power infrastructure. Ceramics such as lead zirconium titanate and semiconductors such as zinc oxide are the most widely used piezoelectric energy harvesting materials. This review focuses on a different class of piezoelectric materials, namely, ferroelectric polymers, such as polyvinlyidene fluoride (PVDF) and its copolymers. These are potentially superior energy harvesting materials as they are flexible, robust, lightweight, easy and cheap to fabricate, as well as being lead free and biocompatible. We review some of the theoretical and experimental aspects of piezoelectric energy recovery using Polymer-based NGs with a novel emphasis on coupling to mechanical resonance, which is relevant for efficient energy harvesting from typically low frequency (<1 kHz) ambient vibrations. The realisation of highly efficient and low cost piezoelectric polymer NGs with reliable energy harvesting performance could lead to wide ranging energy solutions for the next generation of autonomous electronic and wireless devices.
POWERSYSTEMSTABILIZATION VIAPARAMETER OPTIMIZATION - APPLICATION TOTHEHELLENIC INTERCONNECTED SYSTEM

Dynamic stability problems areusually over- comethrough theapplication ofPowerSystem Stabilizers. Thispaperpresents analternative approach for power systemstabilization baseduponthetuningoftheexist- inggenerator controllers, bothgovernors andA.V. R. 's. Thesensitivities oftheeigenvalues tothe controller parameters areevaluated andanoptimization technique isdeveloped tomaximize thedynamic stability. Appli- cationoftheparameter optimization methodona realis- tic modeloftheHellenic Interconnected Systemhas proved anefficient way to stabilize a numberofun- stable oscillatory modesbyrelatively smallparameter variations. Theresults aretestedwitha nonlinear simulation program andtheachieved stabilization, as shownbytherotorangleswings, isfoundtobesignif- icant.
(Non)Singing during the Covid-19 pandemic - Opinions and emotional experience of students from 5th to 8th grade of primary schools in the Republic of Croatia

Singing is an important factor in the teaching of Music Culture and, in addition to the compulsory content, an activity that is carried out the most. The scientific literature confirms that singing sparks positive emotional reactions in students to a great extent. With the proclamation of the COVID-19 pandemic in March 2020, almost all singing activities have been suspended for a long time. The aim of the study was to determine whether there is a difference in the perception of dissatisfaction with the suspension of singing depending on whether the students were actively and intensively engaged in singing compared to those who were not engaged in the activity or were only slightly involved in it prior to the pandemic. The first problem was to research whether there was a difference in personal dissatisfaction (happiness) and the perception of dissatisfaction with the suspension of singing depending on whether the students were actively singing before the pandemic or not and whether they continued singing online during the pandemic or if they have completely stopped active singing. Hypotheses have been confirmed that students who are members of choirs and/or ensembles feel more intense lack and personal dissatisfaction with the suspension of musical activities during the pandemic than those who actively sang only in Music Culture classes as well as that students who played music online are more satisfied and show more positive emotions compared to those who have stopped playing music. Another problem was to research whether there is a difference in the perception of singing in-person and singing in a virtual environment. It has been confirmed that students who have experienced both in-person singing and singing online believe that singing in-person has a greater effect than singing in a virtual environment. The results confirm that singing has a positive effect on the singer and that restricting singing intensifies personal dissatisfaction.
The design of an agent for modelling supply chain network dynamics

A useful insight into managerial decision making can be found from simulation of business systems, but existing work on simulation of supply chain behaviour has largely considered non-competitive chains. Where competitive agents have been examined, they have generally had a simple structure and been used for fundamental examination of stability and equilibria rather than providing practical guidance to managers. In this paper, a new agent for the study of competitive supply chain network dynamics is proposed. The novel features of the agent include the ability to select between competing vendors, distribute orders preferentially among many customers, manage production and inventory, and determine price based on competitive behaviour. The structure of the agent is related to existing business models and sufficient details are provided to allow implementation. The agent is tested to demonstrate that it recreates the main results of the existing modelling and management literature on supply chain dynamics. A brief exploration of competitive dynamics is given to confirm that the proposed agent can respond to competition. The results demonstrate that overall profitability for a supply chain network is maximised when businesses operate collectively. It is possible for an individual business to achieve higher profits by adopting a more competitive stance, but the consequence of this is that the overall profitability of the network is reduced. The agent will be of use for a broad range of studies on the long-run effect of management decisions on their network of suppliers and customers.
Milk Thistle - One of the Top Twenty Herbs Sold in the US in 2011 Milk Thistle: 2011 Yilinda Birleşik Devletler'de En Fazla Satilan Yirmi Bitkiden Birisi

SUMMARY Milk Thistle (MT) ranks 5 th or 6 th , according to the venue surveyed, in the top 20 herbs sold in the US in 2011. MT has also been assigned a grade of “B” from the Natural Standard Database staff scientists. These two ratings in combination give the impression that MT is one of those herbs that it would be important to understand from both an historical and a safety standpoint. This short monograph discusses MT from an historical perspective as well as laying out the myriad of safety concerns that accompany all botanicals used as alternative
ECONOMIC IMPACT AND TRICKLE DOWN EFFECT OF THE 2012 UCI ROAD WORLD CHAMPIONSHIPS

Frequently, public investments in major sport events are justified by policy makers who have a tendency to argue that economic and social benefits arise from those events. This was also the case with the Dutch region of Limburg, investing 6,8 million euro in the organisation of the 2012 UCI Road World Championships which were held from 15-23 September. More specifically, the political objective was to generate local economic impact, to contribute to the development of physical activity and sport participation and to use the event as a catalyst for place marketing. Competitive cycling is deeply rooted in the culture of Limburg, which also is a popular touristic region. The objective of this study is twofold. Firstly, to define the economic impact of the event for the southern part of Limburg. Secondly, to specify to which extent the event has lead to a trickle down effect among event visitors, concerning sport participation. The project was commissioned by the region of Limburg and was a coproduction of two universities for applied sciences Zuyd and NHTV Breda and the Mulier Institute. This study makes a contribution to the knowledge development regarding economic and social benefits which can arise from the organisation of sport events. It aims to make public organisations more aware of the effects which can result from a major sport event in order to stimulate optimal investment of tax payers’ money in the future.
Particle Swarm Optimization with Diverse Parameters

This paper proposes a particle swarm optimization (PSO) with diverse parameters that achieve an appropriate balance between diversification and intensification during the search based on numerical stability analysis. Numerical experiments using seven typical benchmark problems with 100, 500, and 1000 dimensions validate the robustness and search capabilities of the proposed PSO. © 2008 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.
Implications of the Presence of Hyperdense Middle Cerebral Artery Sign in Determining the Subtypes of Stroke Etiology

Background Identifying stroke subtypes is crucial in choosing appropriate treatment, predicting outcomes, and managing recurrent stroke prevention. Objectives To study the association of hyperdense middle cerebral artery sign (HMCAS) on noncontrast computed tomography (NCCT) brain and subtypes of stroke etiology. Methods This is a retrospective hypothesis testing study. Patients aged 18 or over who had middle cerebral artery occlusion symptoms with HMCAS with verification on brain NCCT and received intravenous thrombolysis between January 2016 and June 2019 were enrolled. The demographic data, clinical outcomes, stroke subtypes, and characteristics of HMCAS were collected from medical records. Results Ninety-nine out of 299 enrolled patients presented with HMCAS. The most common stroke subtype was cardioembolism (59%). Of the baseline characteristics, hypertension was more common in cases of large-artery atherosclerosis (LAA) (86.4%), and atrial fibrillation (AF) was the highest in cardioembolism (44.8%). HMCAS disappearance in cardioembolism was lowest compared to LAA and others (63% vs. 91% vs. 94.7%, respectively). The univariable analysis found that HMCAS disappearance is significantly associated with all stroke subtypes (Odds ratio, 95% confidence interval 10.58, 1.31-85.43; P = 0.027 for other and 5.88, 1.24-27.85; P = 0.026 for LAA). Multinomial logistic regression found that body weight and hypertension were associated with the LAA subtype. AF and intracranial hemorrhage (ICH) were associated with cardioembolism. Conclusion The most likely diagnosis from the presence of HMCAS is cardioembolism, but the definite stroke etiologic subtype can not be identified. Combining the patient risk factors, including body weight, hypertension, and AF, with HMCAS and its characteristics will predict stroke subtypes more accurately.
2-D adaptive state-space filters based on the Fornasini-Marchesini second model

Based on the Fornasini-Marchesini second model, a technique is developed for implementing two-dimensional (2D) adaptive state-space filters. First, the relationship between the coefficient sensitivities and the intermediate transfer functions is investigated for the Fornasini-Marchesini second model. A least mean square (LMS) adaptive algorithm is then presented by using new systems that generate the gradient vectors. Finally, a 2-D adaptive line enhancer is constructed by using the 2-D adaptive state-space filter to illustrate the utility of the proposed technique.