Miracle-dz/UniFAR-FTUs huggingface dataset:
Strategy Alignment and Performance Evaluation for Shared Service Centers: A Longitudinal Study on the Role of Balanced Scorecard

Although the SSC concept has gained increasing attention in practice, researchers have not examined the associated issues sufficiently. Through integration in business processes, shared service centers (SSCs) aim to reduce costs and provide better services to internal customers for efficient and effective operations. This longitudinal field study explores how an organization could make existing SSCs more successful. Specifically, we investigate two issues: first, whether using the balanced scorecard (BSC) can assist the employees of SSCs to better understand and achieve the strategies of other operating units as well as those of the headquarters, and second, whether using BSC can better measure the performance of SSCs and reveal the value of SSCs. We illustrate the processes and impacts related to the implementation of BSC on SSCs in a large car dealership in Taiwan. The results show that most employees in SSCs strongly sense and understand organizational strategies after implementing BSC; however, SSCs’ employees do not believe that BSC provides effective performance measures on SSCs. We also find that the managers and employees of SSCs focus more on revenue, cost, and serving internal customers after the implementation of BSC.
Shunt capacitor failures due to windfarm induction generator self-excitation phenomenon

In this paper, a capacitor failure at a wind energy electric generation facility is investigated. The probable cause of the capacitor failures is identified to be overvoltage resulting from self-excitation of the induction generators. Relationships between the voltage escalation and the characteristics of the wind turbines is evaluated. Results of time domain digital simulation are presented along with a comprehensive explanation for this particular type of self-excitation phenomenon. The nature of the problem indicates that similar events could occur in any windfarm which uses capacitor compensation for the reactive power demand of induction generators. Methods for avoiding occurrences similar to that described in this paper are discussed. >
The Development of Effective Clinical Teaching Model (ECTM) and The Effects to Self Efficacy of Nurse Clinical Instructors in Jakarta State Hospital

Self-efficacy of clinical nurse instructors (CNI’s) could improve the socialization of nursing professionals of nursing students, whereas, on the fact that their self-efficacy was still low. The purpose of this study was to know the effect of an effective clinical teaching model on knowledge, attitude, and self-efficacy of CNI’s. The second step used a pre-post test with control group design, to know the effects of an effective clinical teaching module (ECTM) by training toward knowledge, attitudes, and self-efficacy. The sampling method used consecutive sampling that included 74 CNI’s (37 intervention and 37 control). The research result showed that ECTM training: 1) could improve significantly (P-value 0,00), the variable knowledge, attitudes, and self-efficacy; 2) knowledge variable most affected (77%). The conclusion was the ECTM training significantly improved knowledge, attitudes, and self-efficacy of CNI’S, and knowledge was the most affected variable.
An implementation of double‐frequency oscillation cancellation technique in control of DSTATCOM

SUMMARY This paper presents an implementation of double-frequency oscillation cancellation (DFOC) technique in phase locked loop less synchronous reference frame theory for control of a distribution static compensator (DSTATCOM). This control algorithm on DSTATCOM is used for improvement of power quality under linear and nonlinear loads. The DFOC technique is used for cancellation of double-frequency component from the load fundamental active and reactive power components of currents which are used for deriving the reference supply currents without time delay. A DSTATCOM is developed, and its performance is tested using a digital signal processor. The performance of DSTATCOM is found satisfactory for different types of loads in transient and steady state conditions. Copyright © 2013 John Wiley & Sons, Ltd.
Crashworthiness performance of thin-walled, square tubes with circular hole discontinuities under high-speed impact loading

Abstract This paper presents an experimental investigation about the effect of the hole on the crushing force of thin tubes with the square cross-section under axial impact with a high strain rate. To this end, 24 absorbers were studied and their crushing properties were extracted and compared with a simple absorber. The effect of different parameters, including hole diameter, sample length, sample cross-section size, and impact speed were also evaluated. It was found that in hole square thin-wall tubes with high strain rates, an increase in tube length did not affect the maximum force. The results showed that considering cylindrical tubes, average and maximum force in square thinwall tubes without a hole are less than those with holes; this difference in force was not significant but collapse force efficiency (CFE) decreased to 46%. Moreover, by the increase of hole diameter, the maximum force to square thin wall decreased.
Modeling, analysis, and application of buck converters in discontinuous-input-voltage mode operation

By adding a suitable LC filter to the input of a buck power converter, it is possible to force the converter into discontinuous-input-voltage mode operation. A buck power converter in this mode of operation has useful properties such as power factor correction and soft turn-off switching. The operation, modeling, low-frequency behavior, and application of the power converter are studied. Experimental results verifying the theoretical predictions are also presented.
DCPS or Sidwell Friends? How Politician Schooling Choices Affect Voter Evaluations

Voters often rely on informational shortcuts, such as the background traits of politicians, to decide which candidates to support at the ballot box. One such background trait is family composition, particularly parental status. Research, however, has mostly overlooked whether the value-laden choices that politicians make regarding their families—like what neighborhoods they live in, where they worship, and what schools they send their children to—affect how constituents view them. We conduct a survey experiment in the U.S. that presents respondents with hypothetical biographies of politicians that randomly vary one of the most important decisions that politicians make regarding their families: whether to send them to public or private school. We find that: (1) voters are more inclined to vote for politicians with children in public school; and (2) this preference may be due to voters perceiving these politicians as both warmer and more committed to public services.
Changes in RAPD-DNA Markers and Plasma Protein Profile in Progesterone-Treated Chicken

The abuse of contraceptive pills as growth promoters in the poultry industry has serious health concerns. Consumption of hormonal residues in animal products results in reproductive disorders and an increased risk of cancers in humans. This study aimed to investigate the effect of treatment with progesterone hormone on the plasma proteins and RAPD-DNA markers of broiler chickens. One hundred, one-day-old broiler chicks were equally divided into 5 groups (n = 20). Four groups were treated daily with progesterone hormone either subcutaneously or orally (1.0 mg, 1.5mg/kg). The 5th group was control non-treated chicken. Sodium dodecyl sulfate polyacrylamide gel-electrophoresis (SDS-PAGE), and RAPD assays in conjunction with productive parameters such as growth rate were assessed. SDS-PAGE and RAPD-DNA patterns were significantly affected by progesterone hormone treatment. Either or oral or subcutaneous progesterone hormone treatments increased the body weight of chicks compared to control. Treatment with progesterone hormone induces effects on both DNA and plasma proteins in broiler chickens. Changes at the genomic DNA level may be due to specific modifications in RAPD patterns or arise as a consequence of hot spot DNA changes and/or mutations.
An Exact Solution Approach for the Bus Line Planning Problem with Integrated Passenger Routing

The bus line planning problem or transit network design problem with integrated passenger routing is a challenging combinatorial problem. Although well-known benchmark instances for this problem have been available for decades, the state of the art lacks optimal solutions for these instances. The branch and bound algorithm, presented in this paper, introduces three novel concepts to determine these optimal solutions: (1) a new line pool generation method based on dominance, (2) the introduction of essential links, i.e., links which can be determined beforehand and must be present in the optimal solution, and (3) a new network representation based on adding only extra edges. Next to presenting the newly obtained optimal solutions, each of the abovementioned concepts is examined in isolation in the experiments, and it is shown that they contribute significantly to the success of the algorithm.
Vehicle Control Unit Integrated with GPRS/GPS Development for Electric Vehicle

A vehicle control unit (VCU) of electric car integrated with GPRS/GPS and CAN bus was proposed for vehicle driving status monitoring and performance evaluation. The vehicle powertrain information, including parameters of electric motor and battery package as well as their fault messages, and driver operations were collected by VCU and sent to the monitoring center by GPRS. To ensure the wireless transmission reliable and flexible, VCU hardware was designed using MC9S12XET256 and GPRS/GPS module, and the wireless transmission protocol was developed with data message. Laboratory experiment and road test results verified that the GPRS transfer accuracy could reach close to 100% at 5 kb/s. The driving performance of testing vehicle was analyzed, which showed that VCU could follow the drivers operation and the driving range exceeded 120km and energy consumption reduced by 12.7% owing to regenerative braking.
Revealing What's Important to the User: Value-Focused Thinking

Despite the importance of software interfaces, trade-offs must be made during development. Value Focused Thinking (VFT) provides an objective methodology that is well suited for handling multi-objective problems such as interface design issues. Facilitated sessions are held with the intended users to elicit what is of importance to the user. These values are characterized and put to a common scale, allowing measurement of their contribution to the overall objective. The resulting hierarchy can be used to guide software development or compare different interface solutions. In this study, a VFT hierarchy was developed with military intelligence analysts to identify what values were desired in an interface for software intended to address a facet of data overload. The prototype interface was evaluated against the hierarchy with these stated values. The process and the hierarchy itself provided insight on where resources should be expended to provide the greatest benefit in the final product.
Evolutionary modal identification utilizing coupled shear–flexural response—implication for multistory buildings. Part II : Application

A novel solution of dynamic response of multistory buildings is utilized in an evolutionary system identification algorithm for rapid and robust estimation of dynamic characteristics of instrumented structures. The method is fully automated such that it can be used virtually without delay in the aftermath of an urban earthquake. The application of the proposed method and its capabilities are exhibited through numerous examples of building structures shaken by multiple earthquakes in their lives; a number of them are amongst the most intensively studied instrumented buildings. The introduction of stiffness ratio into the reduced‐order dynamic response algorithm that is used in this study (Miranda and Taghavi, 2005) makes it possible to monitor any loss of flexural and/or shear stiffness in a structure subject to strong ground shaking. The system identification scheme presented here is part of a comprehensive structural health‐monitoring software system that is developed for the instrumented building structures at the R&D Department of John A. Martin & Associates with collaboration with research universities. Copyright © 2006 John Wiley & Sons, Ltd.
A Real-Time Data Analysis Platform for Short-Term Water Consumption Forecasting with Machine Learning

This article presents a real-time data analysis platform to forecast water consumption with Machine-Learning (ML) techniques. The strategy fully relies on a web-oriented architecture to ensure better management and optimized monitoring of water consumption. This monitoring is carried out through a communicating system for collecting data in the form of unevenly spaced time series. The platform is completed by learning capabilities to analyze and forecast water consumption. The analysis consists of checking the data integrity and inconsistency, in looking for missing data, and in detecting abnormal consumption. Forecasting is based on the Long Short-Term Memory (LSTM) and the Back-Propagation Neural Network (BPNN). After evaluation, results show that the ML approaches can predict water consumption without having prior knowledge about the data and the users. The LSTM approach, by being able to grab the long-term dependencies between time steps of water consumption, allows the prediction of the amount of consumed water in the next hour with an error of some liters and the instants of the 5 next consumed liters in some milliseconds.
4.5.1 Systems Modeling with SysML – an experience report

Model Based Systems Engineering has been presented as the future way of working for quite some time now. In this paper the practice of Model based systems engineering with SysML within SAAB Aeronautics is presented. Three different cases of different ambition and complexity are presented along with an analysis of the results. A number of modification proposals to SysML based on the experience made are also presented.
Testing of the Milliampere Booster Prototype Cavity

The Milliampere Booster (MAMBO) is the injector linac for the Mainz Energy-recovering Superconducting Accelerator MESA. MESA is a multi-turn energy recovery linac with beam energies in the 100 MeV regime currently designed and built at Institut für Kernphysik (KPH) of Johannes Gutenberg-Universität Mainz [1]. The main accelerator consists of two superconducting Rossendorf type modules [2–4], while the injector MAMBO relies on normal conducting technology. The MAMBO RF cavities are bi-periodic π/2 structures [5, 6] with 33 cells and 37 cells, respectively. In this paper we present the results of the commissioning and testing of a 13 cell prototype structure.
An Easy and Quick Formulation of Patient-Specific 3D-FEM Dentate Mandible Model with Periodontal Ligament for Mechanical Analysis

In recent years, the number of patients with mandibular defects is increasing, and the orthognathic surgery of mandible has become a common treatment for re-establishing functional and aesthetic anatomy by repositioning displaced skeletal elements. To decrease a heavy burden and high risk of the surgery falling on the patients and clinicians, the present authors have developed a mechanical support system for orthognathic surgery. An easy, quick and patient-specific mesh generation including the periodontal ligament is essential. First, a mandible template was obtained manually, which requests the small number of elements. It is composed of 7 different materials and could reproduce the original shape of each material pretty well with a reduced number of elements. Next the template of around 6600 nodes is mapped by a simple formula in a moment of time to fit the patient's mandible polygonal image obtained from an individual CT image. The calculation with the resulted patient-specific mesh by a 3D FEM code is also performed successfully.
Control of Transient Thermoelastic Displacement in a Piezoelectric Based Intelligent Plate

The present paper deals with an intelligent solid state actuator which can control a distribution of thermoelastic displacement at submicron order, in the case where unknown transient heating temperature acts on the actuator. The intelligent actuator consists of an isotropic structural layer onto which two piezoceramic layers of crystal class 6 mm are perfectly bonded. First, by analyzing an inverse problem of transient piezothermoelasticity, the unknown heating temperature acting on the structural layer is inferred from the electric potential induced in the middle piezoceramic layer. Next, analysis of a control problem leads to a transient electric potential applied to the top piezoceramic layer which gives the desired elastic displacement distribution on the free surface of the structural layer. Finally, numerical results are illustrated graphically.
40 Gbit/s decision IC using InP/InGaAs composite-collector heterojunction bipolar transistors

40 Gbit/s error-free operation with a phase margin of 216/spl deg/ has been obtained from a decision IC fabricated using reliable InP/InGaAs composite-collector heterojunction bipolar transistors (CC-HBTs) with a unity current gain cutoff frequency of 116 GHz and a maximum oscillation frequency of 169 GHz. This is the first demonstration of all bipolar transistor decision ICs at such a high bit rate.
Small Longitudinal Emittance Setup in Injectors with Gold Beam for Beam Energy Scan in RHIC

In recent years, Relativistic Heavy Ion Collider (RHIC) physics program calls for gold beam collisions with energies at and lower than the nominal RHIC injection energy. To get shorter bunches at the three higher energies (9.8 GeV, 7.3 GeV and 5.75 GeV), RHIC 28MHz cavities were used. The longitudinal emittance out of injectors needs to fit in the 28 MHz cavities in RHIC. At two lower energies (4.59 GeV and 3.85 GeV), the 9 MHz RF cavities were used, which set different requirements from injectors. Extensive beam studies were carried out to establish needed beam parameters, such as bunch intensities and longitudinal emittances. In general, enough intensity can be provided for all energies within the longitudinal emittance constraint. This paper summarizes the recent injector operation experiences for various energies.
Discrete and Continuous Preference Heterogeneity in a Kuhn-Tucker Model: Beach Recreational Demand

This study extended an existing Kuhn-Tucker (KT) model to integrate a mixture of discrete and continuous preference heterogeneity to address taste variations at individual and group levels. Specifically, we introduced random parameters into site quality attributes in a latent segmentation KT framework. In an empirical application to beach recreational demand, our proposed model statistically dominated other conventional specifications and revealed heterogeneous preferences for beach quality across and within groups. Our welfare analysis further showed that ignoring either the continuous or discrete component of the mixing distributions might lead to biased welfare estimates as well as opposite policy implications.
A Modified TopDisc Algorithm in WSN

TopDisc algorithm, one classic algorithm based on minimum dominating set, puts forward an effective method—approximate topology to set up network. TopDisc algorithm, which only needs local information, is a fully distributed and expandable network-control algorithm. The shortcomings of such algorithm are as follows: the algorithm expense is considerable without taking nodes residual energy into account. After a close analysis of TopDisc algorithm, the author proposes a modified algorithm. The modified algorithm makes good use of the nodes residual energy and reasonably chooses backbone node form heavily energy-loaded ones, which makes the energy evenly consumed, network topology stable and network lifetime endurable. Simulation data indicate that the modified algorithm is very flexible, making the energy evenly consumed, net work topology stable and network lifetime endurable.
The knowledge system and organisational learning sequences of enterprises serving the elderly: evidence from China

ABSTRACT The study explores the knowledge system and organisational learning activities of enterprises serving the elderly using the case study of two Chinese enterprises, and the following findings were obtained. The analysis shows that the complexity of the knowledge system of comprehensive enterprises for the elderly is not weaker than that of the professional technical service industry. The knowledge system of enterprises serving the elderly presents sequential characteristics. We ague that the types of knowledge elements of enterprises serving the elderly should be integrated and contained to form a knowledge system with holographic characteristics. Furthermore, the knowledge accumulation of enterprises serving the elderly depend on the selection of appropriate organisational learning strategies, showing an obvious spiral process of stimulus-response model. This paper provides valuable insights for the enterprises serving the elderly to determine the development direction and path.
A simple and efficient method to simulate induction machines with rotor asymmetries

The need for detection of rotor faults at an earlier stage, so that maintenance can be planned ahead, has pushed the development of monitoring methods with increasing sensitivity and noise immunity. An important issue in such effort is the modelling of the induction machine including rotor bar and end-ring faults, with a minimum of computational complexity. In this paper, it is introduced a new and simpler approach for the modelling and computer simulation of induction machines with rotor asymmetries. This approach is based on the well-known dq transient model of the symmetrical machine, with rotor asymmetries introduced through a linear transformation of the extended rotor current vector. Simulation results previously presented in the literature are reproduced to support the proposed approach.
Adaptive separation of background activity and transient phenomenon in epileptic EEG using mathematical morphology and wavelet transforms

Epileptic EEG data contains transient activities, such as spikes, muscle activities, eye movements and artifacts. The transients are complex in shape, occurring randomly and with short duration. The background EEG often appears as a slow wave in contrast with transients. In the past, many methods have been investigated to separate the two components of background activity and transients. These methods detect background activity or localize the transients by using linear signal processing techniques, which are not effective for detecting sharp waves and patterns. This paper presents a new approach to signal separation by directly judging the differences between the components' shapes using morphological analysis. Morphological analysis utilizes analytic operations based on a pre-defined structuring element (SE). These operations, implemented by a filter, can detect and extract specific signal features determined by the SE. In our case, the SE is defined as a circle to measure the degree of smoothness between the two signal components. A discrete wavelet transform is applied to construct the processed signal. The multi-resolution property of the wavelet transform adapts well to the time-invariant nature of the signal. Combining mathematical morphology and wavelet transforms, this method has successfully separates the background activity and transient phenomenon from an epileptic EEG signal.