Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of load modeling in security constrained OFP studies

Results of computational experiments carried out on an adaptation of the AEP/IEEE 30 bus test system are reported. Some selected buses were modeled using an exponential type of load model. Three cases are considered. In the first case it is assumed that the specified load at modeled buses is obtained with unity voltage. In the second case it is assumed that the transformer taps have been adjusted to give all industrial-type consumers one per unit at the low-voltage panel when the high-side voltage corresponds to the standard optimal power flow (OPF) solution. The third case differs from the second in that the specified power demand is assumed to take place when the high-side voltages correspond to the intact case of the standard security constrained OPF solution. It is concluded that a decrease in fuel cost can be obtained in some instances when load models are incorporated in security constrained OPF studies during contingencies only. In situations where a decrease in fuel cost is obtained in this manner, the magnitude of decrease depends on the total percentage of load fed by fixed tap transformers and the sensitivity of these loads to modeling. >
Towards a Self-Organizing Digital Business Ecosystem: Examining IT-Enabled Boundary Spanning Practice of China's LeEco

The emergence of digital business platforms, ecosystems and non-linear value chains fosters hyper-connections among human actors, organizations, and processes. Such digital moves have brought cross-industry convergence and the blurring of business ecosystem boundaries, bringing about the possibility of overlapping business ecosystems, generating complex socio-technical issues. In this research-in-progress paper, we unpack the processes of how China’s LeEco develop from an emergent digital platform to a self-organizing digital business ecosystem. Drawing on theoretical notions of boundary spanning practice, we posit that towards a self-organizing digital business ecosystem, managers must seek to instill a conducive environment that reinforces, reciprocates and reproduces digital infrastructure through organizational coalition, congruence and hybridity respectively. Towards theoretical and practitioner contributions, ongoing analysis seeks to unpack the process of managing overlapping digital business ecosystems, the conditions under which they operate, the role of digital infrastructure in transition across organizational forms, the implications and outcomes.
Unconventional ferromagnetic transition in La1-xCaxMnO3.

Neutron scattering has been used to study the magnetic correlations and long wavelength spin dynamics of ${\mathrm{La}}_{1\ensuremath{-}x}{\mathrm{Ca}}_{x}{\mathrm{MnO}}_{3}$ in the ferromagnetic regime $(0\ensuremath{\le}xl\frac{1}{2})$. For $x\phantom{\rule{0ex}{0ex}}=\phantom{\rule{0ex}{0ex}}\frac{1}{3}$ $({T}_{C}\phantom{\rule{0ex}{0ex}}=\phantom{\rule{0ex}{0ex}}250\mathrm{K})$ where the magnetoresistance effects are largest the system behaves as an ideal isotropic ferromagnet at low $T$, with a gapless $(l0.04\mathrm{meV})$ dispersion relation ${E\phantom{\rule{0ex}{0ex}}=\phantom{\rule{0ex}{0ex}}Dq}^{2}$ and ${D}_{T\phantom{\rule{0ex}{0ex}}=\phantom{\rule{0ex}{0ex}}0}\ensuremath{\approx}170\mathrm{meV}{\AA{}}^{2}$. However, an anomalous strongly field-dependent diffusive component develops above $\ensuremath{\sim}200\mathrm{K}$ and dominates the fluctuation spectrum as $T\ensuremath{\rightarrow}{T}_{C}$. This component is not present at lower $x$.
Correlation between Deregulated Expression of PER2 Gene and Degree of Glioma Malignancy

Aims and background Growing evidence indicates that disruption of circadian rhythms may be a risk factor for the development of glioma. However, the molecular mechanisms underlying the genetic regulation of circadian rhythms in glioma cells have yet to be explored. Methods and study design Using immunohistochemical staining and methylation-specific PCR techniques, we examined the expression of the period 2 (PER2) gene, one of the most important clock genes, epidermal growth factor receptor (EGFR), and proliferating cell nuclear antigen (PCNA) in 92 gliomas. Results Our results revealed disturbances in the expression of PER2 in most (52.17%) glioma cells compared with the expression in nearby noncancerous cells, and indicated that PER2 gene deregulation most likely occurs via methylation of PER2 promoters. The protein expression of PCNA and EGFR was significantly higher in highgrade than low-grade gliomas (P <0.05). Furthermore, a negative correlation was detected between the protein expression of PER2 and PCNA and EGFR in glioma. Conclusions Because the circadian clock regulates the expression of cell cycle-related genes, we suggest that disturbances in PER2 gene expression may disrupt the regulation of the circadian clock, thus enhancing the survival of cancer cells and promoting carcinogenesis.
The estimation of rainfall and precipitation variation during 2011 convective system using an artificial neural network over Tawau, Sabah

For succeed the early warning system development programme for space activity plan at Tawau, Sabah Malaysia, we studied the variation of rainfall and precipitation over convective system activity. We use five variables data such as the surface meteorological data (Pressure, Temperature and Relative Humidity), rainfall data, and precipitation. The surface meteorological data are taken from weather underground website, the rainfall data we obtain from rain gauge sensor Department of Irrigation and Drainage (DID) Malaysia, and also the precipitation data was obtained from NASA Satellite (Tropical Rainfall Measuring Mission). In this study, we attempt to estimate two variable targets (rainfall and precipitation) using Artificial Neural Network (ANN). The estimation was constructed as an alternative method to develop rainfall and precipitation model using surface meteorological data during convective system activity on summer monsoon over Tawau area. In this study, we processed surface meteorological, rainfall and precipitation data from 1 June 2011 to 31 August 2011. The Multilayer Perceptron (MLP) architecture and Levenberg Marquardt (LM) algorithms have been deployed in this study. We obtain the good result of estimation with one output target. The Root Mean Square Error (RMSE) value of rainfall and precipitation were 4.3540e-004 and 2.7834e-004 respectively and also Variance Accounted For (VAF) of rainfall and precipitation were 94.344% and 98.923% respectively during the training process. Testing results showed an error of 5.656% and 1.077% for precipitation and rainfall, respectively. However, we found the weakness of estimation model using three parameter inputs and two parameter output targets with the same structure. It means that for future work we suggest using 3 years data over convective system activity during summer monsoon is considered in the output target (rainfall and precipitation).
Credit Card Fraud Detection Using Self-Organizing Maps

Nowadays, credit card fraud detection is of great importance to financial institutions. This article presents an automated credit card fraud detection system based on the neural network technology. The authors apply the Self-Organizing Map algorithm to create a model of typical cardholder’s behavior and to analyze the deviation of transactions, thus finding suspicious transactions.
Multi‐criteria supplier selection using fuzzy AHP

A supplier selection decision inherently is a multi‐criterion problem. It is a decision of strategic importance to companies. The nature of this decision usually is complex and unstructured. Management science techniques might be helpful tools for these kinds of decision‐making problems. The aim of this paper is to use fuzzy analytic hierarchy process (AHP) to select the best supplier firm providing the most satisfaction for the criteria determined. The purchasing managers of a white good manufacturer established in Turkey were interviewed and the most important criteria taken into account by the managers while they were selecting their supplier firms were determined by a questionnaire. The fuzzy AHP was used to compare these supplier firms.
Hypoosmotic‐ and pressure‐induced membrane stretch activate TRPC5 channels

Transient receptor potential (TRP) channels mediate a wide array of sensory functions. We investigated the role of TRPC5, a poorly characterized channel widely expressed in the central and peripheral nervous system, as a potential osmosensory protein. Here we show that hypoosmotic stimulation activates TRPC5 channels resulting in a large calcium influx. The response to osmotically induced membrane stretch is blocked by GsMTx‐4, an inhibitor of stretch activated ion channels. Direct hypoosmotic activation of TRPC5 is independent of phospholipase C function. However, the osmotic response is inhibited in a cell line in which PIP2 levels are reduced by regulated overexpression of a lipid phosphatase. The response was restored by increasing intracellular PIP2 levels through the patch pipette. The mechano‐sensitivity of the channel was probed in the whole‐cell configuration by application of steps of positive pressure through the patch pipette. Pressure‐induced membrane stretch also activated TRPC5 channels, suggesting its role as a transducer of osmo‐mechanical stimuli. We also demonstrated the expression of TRPC5 in sensory neurones which together with the osmo‐mechanical characteristics of TRPC5 channels suggest its putative role in mechanosensory transduction events.
Estimating Default and Downgrade Risk: Sector, Region and Structured Product estimates

In this paper the Moody’s databases, of corporate issuers of long term bonds and structured products, are used to estimate asset and factor correlations across a group of sectors, world regions and products. The estimation is performed with the dynamic one factor model for default risk proposed in Koopman, Lucas and Daniels (2005). The results show signiflcant difierences in the estimated asset correlations across groups. These flndings are in line with some of the objectives of the Basel 2 accord, along the lines of accounting as much as possible for the heterogeneity of the issuers, in credit portfolio analysis.
Consequences of consumer trust in PDO food products: the role of familiarity

Purpose – This research proposes studying how the moderating role of consumers' familiarity with a food product with a protected denomination of origin (PDO) influences consumer behavior. Past research has ascertained that consumers confuse different brands and PDOs. For this reason, it is important to analyze whether the level of consumers' experience with PDO food products influences their decisions.Design/methodology/approach – Structural equations and multi‐sample models were applied to measure the effect of familiarity on the relations between perceived risk, trust, satisfaction, loyalty and buying intention in a PDO food product. The consumer was asked to indicate his/her level of agreement or disagreement with a series of statements based on a seven‐point Likert scale. After the completion of the fieldwork, an analytic process (exploratory and confirmatory reliability analysis) was performed and 414 valid questionnaires were obtained.Findings – Results indicate that all the relationships proposed i.
An Investigation into the Factors Influencing Herd Formation by Investors in the Nairobi Securities Exchange: A Behavioural Finance Approach

The Efficient Market Hypothesis (EMH) and the rational expectation theories which are standard (traditional) finance theories explain the happenings in the stock markets using models in which the investors are rational and how stock prices reflect the available information in the market. However, there are instances where stock markets go contrary to this explanation, due to other factors, thus leading to market imperfections such as herd formation. This study sought to investigate the factors that influence herd formation by individual investors in the Nairobi Securities Exchange (NSE). A sample of 100 respondents within Nairobi County was used. The respondents were selected using simple random sampling. Primary data was gathered using questionnaires and personal interviews. Secondary data was acquired through reviewing of journals, annual reports, newspapers, relevant websites, newsletters and other relevant literature on the study under investigation. Data was analyzed qualitatively and quantitatively with the assistance of the Statistical Package for Social Sciences (SPSS). Literature review shows that market imperfections that are contrary to traditional finance theories are best explained by the new branch of finance (behavioural finance) which incorporates the psychological mechanisms of individuals in making of investment decisions. Behavioural finance outlines behavioural aspects such as loss aversion, contrarian behaviour, overconfidence, cognitive dissonance, cognitive heuristics, self deception, representativeness, anchoring, behavioural biases and herd formation portrayed by individual investors as examples of such imperfections. These behaviours in turn influence the trend in the stock market. The study found out that herding or herd formation is one of the behavioural aspects prevalent in the NSE. The factors influencing herd formation are social pressure of conformity to a group, market announcements and the political environment. However, technology though an important factor in share trading does not influence herd formation in the NSE. There is therefore need for the government, investors, NSE, Capital Markets Authority (CMA), learning institutions and other market players to understand the market dynamics and look more closely at factors other than price that influence the performance of the stock market and enact well designed strategies on the efficient operation and management of the stock market in Kenya. I'
Interactive Bank of Unscented Kalman Filters for Fault Detection and Isolation in Reaction Wheel Actuators of Satellite Attitude Control System

The main objective of the research investigated in this paper is the detection and isolation of partial (soft) and total (hard) failures in the reaction wheel (RW) actuators of the satellite attitude control system (ACS) during its mission operation. The fault detection and isolation (FDI) is accomplished using the interactive multiple models (IMM) scheme developed based on the unscented Kalman filter (UKF) algorithm. Towards this objective, the healthy mode of the ACS system under different operating conditions as well as a number of different fault scenarios including changes and anomalies in the temperature, power supply bus voltage, and unexpected current variations in the actuators of each axis of the satellite are considered. We describe and develop a bank of interacting multiple model unscented Kalman filters (IMM-UKF) to detect and isolate the above mentioned reaction wheel failures in the ACS system. Also, it should be emphasized that the proposed IMM-UKF technique is implemented based on a high-fidelity highly nonlinear model of a commercial RW. Compared to other fault detection and isolation (FDI) strategies developed in the control systems literature, the proposed FDI scheme is shown, through extensive numerical simulations, to be more accurate, less computationally demanding, and more robust with the potential of extending to a number of other engineering applications
Forecasting of Mobile Subscriptions in Asia Pacific Using Bass Diffusion Model

In today's dynamic world, mobile communication has changed the lifestyle of many people. Forecasting of mobile subscriptions in a country is one of the research areas. In this paper, Bass diffusion model is used to forecast the number of mobile service subscribers in major countries in Asia Pacific. Technically, we compare two forecasting methods: Bass diffusion model and diffusion by analogy. One is popular in research and the other is commonly applied in practice. Two estimation methods for Bass diffusion model are also compared: adaptive nonlinear least square (adaptive NLS) and genetic algorithm (GA). The results show that Bass diffusion model in general performs better than diffusion by analogy based on the in-sample sum of squared errors (SSE) and out-of-sample SSE. On the other hand, adaptive NLS and genetic algorithms are comparable in generating reasonably sound forecasting results
Treatment-emergent adverse events associated with atypical antipsychotics

Introduction: Atypical antipsychotics provide broad-spectrum effectiveness for the acute and/or preventative treatment of disparate psychiatric disorders. Atypical antipsychotics offer improved efficacy in some psychopathological domains when compared with typical antipsychotics. Notwithstanding, atypicals are not a catholicon and are associated with clinically significant and treatment-limiting side effects (e.g., extrapyramidal symptoms and weight gain). Areas covered: This article reviews commonly encountered adverse events attributable to the use of atypical antipsychotic agents. This review aims to provide a current overview of common adverse events associated with atypical agents with a particular emphasis on adverse events that frequently lead to treatment discontinuation (e.g., changes in weight, metabolism, extrapyramidal side effects, neuroendocrine changes, blood dyscrasias, and cardiovascular toxicity). Expert opinion: Atypicals are not a catholicon and are associated with clinically significant and treatment-limiting side effects (e.g., extrapyramidal symptoms and weight gain). Improving the utility of these agents requires a familiarity and understanding of the heterogeneous tolerability and safety profiles of atypical agents as well as the therapeutic evidence for their efficacy.
On crises, crashes and comovements

Crises and crashes in financial markets are investors’ worst fear. The combination of large losses, a persistent increase of price fluctuations, and a strengthening of comovements in prices causes investors great harm. While the severe consequences of crises and crashes are intuitively clear, many essential questions regarding the magnitude of the effects on specific fields in finance and the precise impact of the different factors have yet to be resolved. This dissertation provides answers to these questions from an investor’s perspective. Its main conclusion reads that the tendency of crises and crashes to spread to other assets and markets as well as over time is of crucial importance for determining their impact. Traditional models for comovements underestimate the risk of joint downward movements. Persistence exacerbates the effects of a crisis and increases the costs of ignoring its possibility beforehand. Moreover, this thesis concludes that investors can expect a compensation for the grave consequences of a crash that they are unable to evade. The size of this compensation indicates that crash risk may be equally important as the traditional risk in the normal fluctuations of asset prices. Furthermore, predictions on the likelihood of a crash can be improved by studying past returns. Besides these empirical contributions, this dissertation shows how various econometric techniques, including copulas and regime-switching models, can be used innovatively for the examination of crises, crashes and comovements.
Revenue and Profit Implications of Industrial Service Strategies

In many business markets, manufacturers seek service-led growth to secure their existing positions and continue to grow in increasingly competitive environments. Using longitudinal data from 513 German mechanical engineering companies and latent growth curve modeling, this study offers a fine-grained view of the financial performance implications of industrial service strategies. By disentangling the revenue and profit implications of industrial service strategies, findings reveal that such strategies increase both the level and the growth of manufacturing firms’ revenue streams. In contrast, they reduce the level but improve the growth of manufacturers’ profits. Results further suggest that services supporting the clients’ actions (SSC) and services supporting the supplier’s product (SSP) affect performance outcomes in different ways. SSCs directly affect revenue and profit streams. In turn, SSPs display only indirect effects on financial performance mediated through SSCs. A moderator analysis identifies two organizational contingencies that facilitate service business success: Only companies with decentralized decision-making processes and a high share of loyal customers can expect favorable financial results from industrial service strategies. In summary, this research provides significant insights and managerial guidance for turning service strategies into financial successes.
Determinants of Failed Service Quality in the Malaysia Retail Banking Sector

Purpose - The main purpose this study is to provide managers and researchers a comprehensive view of the root causes of failed service quality in the Malaysia retail banking sector.Design/methodology/approach - A quantitative research design was conducted among retail banking customers who had defected from a large retail bank provider. A total of 300 questionnaires were distributed and received 100 valid replies.Findings - The results discovered that the determinants of failed service quality from retail bank with customer dissatisfaction, lack of commitment and loyalty. Both customer dissatisfaction and lack of commitment have significantly and positively affect the failed service quality. While loyalty on the contrary, it is not significantly and negatively related. Research limitations/implications - The findings of this paper primarily pertain to the operational level of the organization. Further research could also attempt to isolate the other factors that influence failed service quality on the bank performance. Practical implication - Key areas causing customer dissatisfaction and eventually defection are shown to bank managers, providing direction for implementing strategies and mechanisms in order to effectively reduce the defection rate.Originality/value - The theoretical model, which was in large confirmed through the empirical data, offers for the first time empirical evidence regarding the extent to which the general categories of reasons to defect in a service context identified in the literature are indeed causing customer exit.