Miracle-dz/UniFAR-FTUs huggingface dataset:
Probabilistic load flow techniques applied to power system expansion planning

An application of the probabilistic load flow (PLF) techniques to the expansion planning of power systems is presented. A brief review of the PLF formulation and solution is included to identify differences between this technique and other available tools such as composite generation and transmission reliability evaluation algorithms. The potential of the PLF technique is demonstrated by a case study using the Brazilian North/Northeastern system. The network expansion planning of an area of this system is studied using a conventional load flow program and the results are compared with those obtained from a PLF program that models generation capacity unavailabilities and peak load uncertainties. The significant differences demonstrate the benefits of the PLF technique. Special emphasis is given to short-term and long-term modeling using analyses of real system load data. >
Comparison between asymmetric generalized Gaussian (AGG) and symmetric-/spl alpha/-stable (S/spl alpha/S) noise models for signal estimation in non Gaussian environments

This paper focuses on the problem of multilevel digital signal estimation in the presence of generic noise in a communication system. Noise is assumed unimodal, independent identically distributed, generically non Gaussian, that is eventually asymmetric, impulsive or not. The proposed solution is based on a previously developed estimator which requires the analytical probability density function model of the noise. The selected estimator was originally applied under the assumption of S/spl alpha/S noise distribution. In this paper the asymmetric generalized Gaussian (agg) model is selected as a suitable model to describe the noise processes: hence, it is discussed and compared with the S/spl alpha/S distributions in terms of decoding performances. Tests were performed on simulated binary sequences corrupted by interference generated as S/spl alpha/S processes. Test results outlines comparable performances of the two families of parametric noise models.
The Ecological Footprint of Ports: A Sustainability Indicator

The ecological footprint is studied as a macroindicator of sustainability applicable to companies and corporations. Until now, this macroindicator has been applied to cities, regions, or countries. It accounts for the consumption of natural resources by converting them into hectares of "nature" or consumed productive land. The parameters analyzed in this research have been consumption of energy, fuel, material, paper, wood, water, built land, and green areas, and residues generated by the Gijon Port Authority, Spain. The results show a net ecological footprint of 3,279.84 ha. The main components of the footprint are construction works (nearly 2,000 ha) and electricity consumption (679 ha). Studies of this kind enable companies to design sustainable development plans to reduce consumption as well as develop "green" (footprint-free) products and create "natural capital" (wastage absorption). Until now, these issues have not been on the agenda of companies, but they are indispensable in achieving real sustai.
Women in Organizational Studies: Comparison of Researcher Approaches on Gender Basis

Geliş Tarihi: 24.09. 2019 Kabul Tarihi: 15.01. 2020 Çevrimiçi Kullanım Tarihi: 12.02. 2020 Makale Türü: Araştırma makalesi Bu çalışmada, Türkiye’de Türkçe yayınlanmış örgüt çalışmalarında kadın odaklı çalışmaları, araştırmacıların toplumsal cinsiyet rollerine göre karşılaştırılmıştır. Çalışma kapsamında karşılaştırma yapabilmek için çalışmaları seçerken Tranfield vd. (2003) tarafından geliştirilen sistematik tarama prosedürü benimsenmiştir. Tarama sonucunda seksen dokuz yayını araştırmaya dahil edilmiştir. Örgüt çalışmalarında kadın odaklı olanlar, yönetim, kadın sorunları ve toplumsal cinsiyet başlıkları altında gruplanmıştır. Kadın çalışanların örgüt içerisinde karşılaştıkları sorunları değerlendiren çalışmaların ağırlıklı olarak kadın araştırmacılar tarafından yürütüldüğü tespit edilmiştir. Diğer gruplarda da kadın araştırmacıların sayısı yüksek olmakla birlikte, erkek araştırmacıların sayısı da görece fazladır. Ancak, genel olarak, araştırma kapsamındaki çalışmalarda, araştırmacıların konuya ve araştırmaya mesafeli kaldıkları değerlendirilmiştir. Anahtar Kelimeler: Kadın çalışmaları, toplumsal cinsiyet, örgüt çalışmaları, eleştirel gerçekçilik.
RNA-seq screening of cuticle protein genes in Culex pipiens pallens among cypermethrin-resistant populations

Background A long-lasting overdependence on insecticides has led to the rapid spread of pyrethroid resistance in mosquito vectors, which poses a great risk to the general public. Although there are many studies on metabolic resistance and target resistance, few have investigated cuticle resistance and behaviour resistance. The cuticle of mosquitoes has been hypothesized to play a role in insecticide resistance by reducing penetration or sequestering insecticides.Methods We used RNA sequencing (RNA-seq) to analyse the transcriptome of cypermethrin-resistant and cypermethrin-susceptible strains of Culex pipiens pallens. We sequenced 6 samples using an Illumina HiSeq platform and generated approximately 6.66 Gb bases from each sample on average. Mapping the sequenced reads to a reference genome and reconstructing the transcripts via gene expression analysis, we detected differentially expressed genes (DEGs) among the samples. Followed Gene Ontology (GO) classification and functional enrichment. Finally, we screened the genes of cuticle proteins associated with drug resistance throughout the genome, selected the significant DEGs with a log2 fold change > 3.0 and Padj < 0.05, and applied real-time fluorescence quantitative polymerase chain reaction (PCR) to verify the DEGs. Results We obtained 13,517 novel transcripts, of which 8,653 were previously unknown splicing events for known genes, 665 were novel coding transcripts without any known features, and 4,199 were long non-coding RNA (lncRNA). A total of 1035, 944, and 657 genes were upregulated in comparisons between the samples, and 2680, 1215, and 975 genes were downregulated in comparisons between the samples. Finally, among all samples, 167 genes were upregulated and 145 genes were downregulated. The GO classification and functional enrichment of DEGs were as follows: molecular function, 224 genes; cellular component, 149 genes; and biological process, 272 genes. The expression of XM_001863852 and XM_001845881 in resistant strains of Culex pipiens pallens was lower than that in the laboratory sensitive strain, with 0.177 and 0.548-fold change in expression, respectively; the expression of the XM_001845883. 1 in the resistant strain was higher than that in the susceptible strain, with a 2.281-fold change in expression.Conclusions Our results provide a reference for resistance mechanisms via the mosquito cuticle as well as a new perspective for disease vector control.
Multifrequency complementary phase-coded radar signal

A multifrequency radar signal is considered. It uses M subcarriers simultaneously. The subcarriers are phase modulated by M different sequences that constitute a complementary set. Such a set can be constructed, for example, from the M cyclic shifts of a perfect phase-coded sequence of length M (e.g. P4). The subcarriers are separated by the inverse of the duration of a phase element t/sub b/, yielding orthogonal frequency division multiplexing (OFDM), well known in communications. A single pulse of such a signal exhibits a thumbtack ambiguity function with delay resolution of t/sub b//M. The power spectrum is relatively flat, with width of M/t/sub b/. The signal can be constructed by power combining M fixed-amplitude signals. The resulting signal, however, is of variable amplitude. The peak-to-mean envelope power ratio can be maintained below 2. A train of complementary pulses and a weight function along the frequency axis are useful for further sidelobe reduction.
Investigations of Impedance and Electric Modulus of ZrO 2 - TiO 2 C eramics

ZrO2–TiO2 nanocrystals were prepared by coprecipitation calcination method. The formation of the composite was confirmed by X-ray diffraction. The grain morphologies were analyzed using SEM and TEM. All three morphological studies showed the formation of the composite in nanoscale. The dielectric behavior and impedance relaxation were investigated over a wide range of frequencies. The material exhibited a high dielectric constant and low loss. The ac conductivity was found to increase with increase in frequency. The high dielectric constant coupled with low dielectric loss facilitates the use of this nanocomposite for gate dielectrics. Keywords—Nanocomposites; Dielectric Constant; Impedance; Modulus.
Large‐signal device simulation in time‐ and frequency‐domain: a comparison

Purpose – The aim of this paper is to compare the most common time‐ and frequency‐domain numerical techniques for the determination of the steady‐state solution in the physics‐based simulation of a semiconductor device driven by a time‐periodic generator.Design/methodology/approach – The shooting and harmonic balance (HB) techniques are applied to the solution of the discretized drift‐diffusion device model coupled to the external circuit embedding the semiconductor device, thus providing a fully nonlinear mixed mode simulation.Findings – The comparison highlights the strong and weak points of the two approaches, basically showing that the time‐domain solution is more robust with respect to the initial condition, while the HB solution provides a more rapid convergence once the initial datum is close enough to the solution itself.Originality/value – The contribution compares two numerical techniques for the determination of the steady‐state solution of nonlinear dynamical systems, popular in the area of RF.
Design of Vehicle Active Suspension System Using Discrete-Time Sliding Mode Control With Parallel Genetic Algorithm

Sliding mode control (SMC) has gained a wide acceptance in recent years due to its simplicity and robustness. Discrete-time sliding mode control (DSMC) is advantageous over its continuous-time counterparts due to the development in digital signal processing. However, little attention has been paid to the application of DSMC to the design of active suspensions. In this research, DSMC-based active suspensions are designed using both the SMC theory and a genetic algorithm (GA) to improve the ride quality and handling performance with the full states observed by a discrete-time Kalman filter. The extensive computation demand levied by the GA is handled by using the parallel computation technique. The proposed optimization-based SMC approach simplifies the design process and improves the overall performance of the controlled system.Copyright © 2013 by ASME
Generation Y - framtidens konsumenter och medarbetare gör entré

Omfattande forandringar pagar i foretag och organisationer: 40-talisterna gar i pension och in kommer Generation Y - 80-talisterna som vill gora skillnad. Det har ar en generation konsumenter och medarbetare som har vuxit upp i ett samhalle med manga mojligheter och val, standig kommunikation och stora sociala natverk.Las merManga organisationer upplever Generation Y som besvarliga och uppkaftiga, men i sjalva verket kan de vara kreativa, kompetenta, bildade och varldsvana. I den har boken utmanas det etablerade tankandet kring marknadskommunikation, konsumentbeteende och rekrytering, genom att Generation Y:s karaktarsdrag analyseras. Lar kanna Generation Y och ta vara pa de mojligheter som de for med sig! Om forfattarnaAnders Parment ar ek. dr och verksam vid Linkopings universitet samt som strategikonsult och forelasare.Recensioner"Detta ar en lattlast och mycket tankvard bok med manga illustrativa exempel. Den bygger pa en blandning av vetenskaplig undersokning och erfarenhetsbaserade askikter. Boken ger en bra mojlighet att forsta Generation Y och ta till vara pa de mojligheter som detta for med sig. " Bengt Klefsjo for Kvalitetsmagasinet, mars 2010.
Gamification: Applications for Health Promotion and Health Information Technology Engagement

Game-based approaches (gamification) can provide ideal strategies for health promotion, prevention, and self-management of chronic conditions. However, there is a need to clearly define components and uses of gamification in healthcare for increased patient engagement in health information technology. Therefore, this chapter aims to define gamification and components of gamification, identify relevant research and examples of gamification in regards to health promotion and prevention, discuss strategies to gamify a health application, and summarize current research in the area of gamification for health promotion/prevention. Finally, this chapter provides an overview of gamification applications and how it can be used for health promotion.
A servo system tracking controller based on neural networks

A novel neural network (NN) based trajectory tracking controller for a servo system that also incorporates a knowledge-based control scheme is proposed in this paper. A decentralized control scheme, which neither requires a priori knowledge of the plant nor learning of the system dynamics, is introduced to deactivate the coupled dynamics associated with certain systems like robotic manipulators. The NN is employed to classify the system input-output measurements into several patterns depending on the displacement and velocity deviations from the respective desired trajectories. A proportional plus derivative gain control action is determined from a look-up table corresponding to the classification from the NN. Furthermore, an integrator is applied to enhance system performance. Several PD gains are introduced in a staggered format relative to the magnitudes of the displacement and velocity tracking errors, resulting in a controller that is robust to both structured and unstructured uncertainties.
Operational Risk: A Guide to Basel II Capital Requirements, Models, and Analysis

While operational risk has long been regarded as a mere part of "other" risks--outside the realm of credit and market risk--it has quickly made its way to the forefront of finance. In fact, with implementation of the Basel II Capital Accord already underway, many financial professionals--as well as those preparing to enter this field--must now become familiar with a variety of issues related to operational risk modeling and management. Written by the experienced team of Anna Chernobai, Svetlozar Rachev, and Frank Fabozzi, Operational Risk will introduce you to the key concepts associated with this discipline. Filled with in-depth insights, expert advice, and innovative research, this comprehensive guide not only presents you with an abundant amount of information regarding operational risk, but it also walks you through a wide array of examples that will solidify your understanding of the issues discussed. Topics covered include: The main challenges that exist in modeling operational risk. The variety of approaches used to model operational losses. Value-at-Risk and its role in quantifying and managing operational risk. The three pillars of the Basel II Capital Accord. And much more.
Systems and economic analysis of microalgae ponds for conversion of CO{sub 2} to biomass. Final report

There is growing evidence that global warming could become a major global environmental threat during the 21st century. The precautionary principle commands preventive action, at both national and international levels, to minimize this potential threat. Many near-term, relatively inexpensive, mitigation options are available. In addition, long-term research is required to evaluate and develop advanced, possibly more expensive, countermeasures, in the eventuality that they may be required. The utilization of power plant CO{sub 2} and its recycling into fossil fuel substitutes by microalgae cultures could be one such long-term technology. Microalgae production is an expanding industry in the U.S., with three commercial systems (of approximately 10 hectare each) producing nutriceuticals, specifically beta-carotene, extracted from Dunaliella, and Spirulina biomass. Microalgae are also used in wastewater treatment. Currently production costs are high, about $10,000/ton of algal biomass, almost two orders of magnitude higher than acceptable for greenhouse gas mitigation. This report reviews the current state-of-the-art, including algal cultivation and harvesting-processing, and outlines a technique for achieving very high productivities. Costs of CO{sub 2} mitigation with microalgae production of oils ({open_quotes}biodiesel{close_quotes}) are estimated and future R&D needs outlined.
Real-time dynamic trajectory optimization with application to free-flying space robots

The capability of robots to complete tasks or entire missions autonomously relies heavily on their ability to plan. Good planners must not only be able to produce efficient plans but must also be able to modify those plans quickly in response to unpredicted events. Unfortunately these two goals are often conflicting ones, with only slow, complex planners able to produce efficient plans, and only quick, simple planners able to react to unpredicted events. The research presented in this dissertation focuses on the development of a real-time dynamic trajectory optimization system that provides both highly efficient motion planning capabilities and the ability to react to uncertainty in the environment. This system achieves these capabilities by utilizing simultaneous planning and execution to improve the robot's trajectory while the robot is in motion along the trajectory. Although other robotic systems have used simultaneous planning and execution, this dissertation applies the concept to dynamic trajectory optimization, a sophisticated technique for computing highly efficient trajectories that has previously been used only in off-line planning applications and in simulation. The resulting system uses a non-linear optimization algorithm to improve an initial trajectory, subject to the dynamics of the system and constraints on the robot's motion, in order to minimize a weighted sum of the fuel and time required to complete the trajectory. Using this system, several motion planning tasks are demonstrated experimentally on a thruster propelled free-flying robot. The most complex of these tasks requires the robot to travel around a pair of stationary obstacles and intercept a moving, maneuvering target vehicle in a highly efficient manner. The experimental results show that for the sample moving-target-intercept task, the real-time planner provides 2.42 times better performance than a reactive planner and an on-line planner is unable to complete the task at all. This experimental demonstration highlights the advantages of real-time dynamic trajectory optimization in providing a high performance motion planning capability, even when operating in a dynamic, uncertain environment.
Feasibility study of a self-powered piezoelectric sensor

Sensors play a crucial role in structural systems with the concern of reliability/failure issues. The development of wireless monitoring systems has been of great interest because wireless transmission has been proven as a convenient means to transmit signals while minimizing the use of many long wires. However, the wireless transmission systems need sufficient power to function properly. Conventionally, batteries are used as the power sources of the remote sensing systems. However, due to their limited lifetime, replacement of batteries has to be carried out periodically, which is inconvenient. In recent years, piezoelectric materials have been developed as sensing and actuating devices mostly, and power generators in some cases. In this paper, a self-powered piezoelectric sensor is studied, in which one piece of piezoelectric material will be simultaneously used as a sensor and a power generator under vibration environment. Concurrent design with piezoelectric materials in sensor and power generator is integrated with energy storage device. We evaluate sensing and power generating abilities individually, and then their concurrent sensing and energy harvesting performances. The possibilities of the piezoelectric sensor to power wireless transmission systems are discussed. Experimental efforts are carried out to study the feasibility of the self-powered piezoelectric sensor system.
Urticaria and increased risk of rheumatoid arthritis: a two-sample Mendelian randomisation study in European population.

BACKGROUND In recent years, a growing body of observational studies suggest that urticaria is associated with a higher risk of rheumatoid arthritis (RA). However, the causal association between urticaria and RA remains unknown. OBJECTIVE To investigate the causal relationship of urticaria and RA in European populations by Mendelian randomisation (MR) approach. METHODS We conducted two-sample MR analyses. Eleven single-nucleotide polymorphisms associated with urticaria were used as instrumental variables. The summary data on urticaria were derived from FinnGen Data Freeze 2. The summary data on RA were obtained from a published meta-analysis using European samples. Four MR methods were applied to the MR estimates. Three heterogeneity tests, including Cochran's Q test, single variant analysis, and leave-one-out variant analysis, were used. The pleiotropy and horizontal pleiotropy among instrumental variables were assessed with MR-Egger regression intercept, MR pleiotropy residual sum and outlier global test, and PhenoScanner. RESULTS The MR analysis suggested that urticaria was causally associated with RA (odds ratio = 1.114, 95% confidence interval = 1.024-1.211, p = .011). No genetic pleiotropy or horizontal pleiotropy was revealed by MR-Egger regression intercept and MR pleiotropy residual sum and outlier global test. The sensitivity analysis results were relatively robust. CONCLUSIONS The MR analysis suggested there was sufficient evidence to indicate urticaria is the cause of RA.
Research of optical coherence tomography microscope based on CCD detector

The reference wave phase was modulated with a sinusoidal vibrating mirror attached to a Piezoelectric Transducer (PZT), the integration was performed by a CCD, and the charge storage period of the CCD image sensor was one-quarter period of the sinusoidal phase modulation. With the frequency- synchronous detection technique, four images (four frames of interference pattern) were recorded during one period of the phase modulation. In order to obtain the optimum modulation parameter, the values of amplitude and phase of the sinusoidal phase modulation were determined by considering the measurement error caused by the additive noise contained in the detected values. The PZT oscillation was controlled by a closed loop control system based on PID controller. An ideal discrete digital sine function at 50Hz with adjustable amplitude was used to adjust the vibrating of PZT, and a digital phase shift techniques was used to adjust vibrating phase of PZT so that the phase of the modulation could reach their optimum values. The CCD detector was triggered with software at 200Hz. Based on work above a small coherent signal masked by the preponderant incoherent background with a CCD detector was obtained.