Miracle-dz/UniFAR-FTUs huggingface dataset:
Asset Pricing Models in China Stock Market

Harry Markowitz (1959) develops "mean-variance model". Based on this model, Sharpe (1964), Lintner (1965) and Black (1972) build CAPM. However, empirical findings are not in favor of CAPM. Then，Merton (1973) generalizes CAPM and proposes ICAPM. Afterwards, Fama and French (1996) take the idea of Ross (1976)'s arbitrage pricing theory and construct a three-factor model. The three-factor model explains the covariation in average returns. The purpose of this study is to explore explanatory power of asset pricing models to investor behavior in China stock market. Findings of this study are that Fama French three-factor model better explains time-series variation in stock return than CAPM based on different sample data. Size effect exists in Shanghai and China stock market. However, value effect is found only in Shanghai stock market. This study also shows that unlike Fama French (1996), firms with low E/P ratios tend to have higher returns and firms with higher E/P ratios tend to have lower returns in Shanghai stock market. Robustness tests show that Fame French three-factor model is robust.
The impact of text product reviews on sales

Purpose – The aim of this research is to theorize and demonstrate that analyzing consumers’ text product reviews using text mining can enhance the explanatory power of a product sales model, particularly for hedonic products, which tend to generate emotional and subjective product evaluations. Previous research in this area has been more focused on utilitarian products. Design/methodology/approach – Our text clustering-based procedure segments text reviews into multiple clusters in association with consumers’ numeric ratings to address consumer heterogeneity in taste preferences and quality valuations and the J-distribution of numeric product ratings. This approach is novel in terms of combining text clustering with numeric product ratings to address consumers’ subjective product evaluations. Findings – Using the movie industry as our empirical application, we find that our approach of making use of product text reviews can improve the explanatory power and predictive validity of the box-office sales mode.
High standards for high dimensional investigations

ADVANCES in research methods that create large datasets have motivated innovations in experimental measurement standards to promote comparison between datasets and among lab groups. Such increases in data sharing can accelerate progress in complex experimental systems by providing access to more data than is available from any one lab alone. This is particularly valuable in revealing variations in human translational studies where differences among study subjects may be subtle but are nonetheless critical for understanding divergent health outcomes. The focus on complex interactions in precision medicine—such as immune-mediated pathogenesis and in depth profiling studies—has led investigators to produce many such datasets. The large datasets generated present opportunities for tremendous advances through additional data-mining and re-use of data for new users. Consideration of the need for meaningful data sharing has launched a call to action internationally for common standards in experimental data collection, health data standards in clinical settings, as well as efforts in data annotation and reporting nomenclature (1). The use of repositories for data sharing has been broadly adopted over the last two decades for “-omics” research in e.g., DNA sequencing (dbGap), transcriptional microarray data (GEO, ArrayExpress), microbiome (hmpdacc), metabolomics (Metabolomics Data Repository). This more recently has included immunologic data in NIH-supported ImmPORT (www.immuneprofiling.org/hipc/page/show), and the Human Immunology Project Consortium (HIPC) where one of the goals is the integration of data across centers (2). Effective experimental standards and normalization are critical to the success of this effort and include elements such as sample handling, reagents, instrument setup, and data analysis for flow cytometry (2) or commonly agreed-upon and tested controls and protocols to verify technical performance and data quality for transcriptional studies (3). Further, the NIH initiative for rigor and reproducibility, and the required authentication of reagents as part of every grant proposal, places these concerns foremost for investigators before the first experiment begins (4).
ICOS-Dependent Homeostasis and Function of Foxp3+ Regulatory T Cells in Islets of Nonobese Diabetic Mice

A progressive waning in Foxp3+ regulatory T cell (Treg) functions is thought to provoke autoimmunity in the NOD model of type 1 diabetes (T1D). A deficiency in IL-2 is one of the main triggers for the defective function of Tregs in islets. Notably, abrogation of the ICOS pathway in NOD neonates or BDC2.5-NOD (BDC2.5) mice exacerbates T1D, suggesting an important role for this costimulatory pathway in tolerance to islet Ags. Thus, we hypothesize that ICOS selectively promotes Foxp3+ Treg functions in BDC2.5 mice. We show that ICOS expression discriminates effector Foxp3− T cells from Foxp3+ Tregs and specifically designates a dominant subset of intra-islet Tregs, endowed with an increased potential to expand, secrete IL-10, and mediate suppressive activity in vitro and in vivo. Consistently, Ab-mediated blockade or genetic deficiency of ICOS selectively abrogates Treg-mediated functions and T1D protection and exacerbates disease in BDC2.5 mice. Moreover, T1D progression in BDC2.5 mice is associated with a decline in ICOS expression in and expansion and suppression by intra-islet Foxp3+ Tregs. We further show that the ICOS+ Tregs, in contrast to their ICOS− counterparts, are more sensitive to IL-2, a critical signal for their survival and functional stability. Lastly, the temporal loss in ICOS+ Tregs is readily corrected by IL-2 therapy or protective Il2 gene variation. Overall, ICOS is critical for the homeostasis and functional stability of Foxp3+ Tregs in prediabetic islets and maintenance of T1D protection.
Consumer Attitude Regarding Mobile Service Buying Behavior in India with Special Reference to National Capital Region (NCR)

Cellular phone services in India have grown by leaps and bounds since the turn of the century. Competition is stiff and companies adopt various practices to attract young customers and retain them. Significant attempt is seen in wooing the youth segment with various schemes and offers. The tendency among the service providers is to understand the mind of the youth segment. In the present exploratory study, a sketchy picture has been presented about the service providers in India, which is followed up with finding various factors affecting perception of the buyers regarding the cell phone services according to the youth of NCR. By using Gratification model and followed by factor analysis of data collected, it was concluded that personality factor, service performance, extra packages, internet facility, tariffs, coverage, value added service, are the crucial factors.
From Finding to Explaining: Information Retrieval to Support Maritime Anomaly Analysis

Supporting anomaly analysis in the maritime field is a challenging problem because of the dynamic nature of the task: the definition of abnormal or suspicious behaviour is subject to change and depends on user interests. This paper provides a novel approach to support anomaly analysis in the maritime domain through the exploration of large collections of interpretation reports. Based on observables or more sophisticated patterns, the approach provides information retrieval strategies going from basic facts retrieval that guide short-term corrective actions to more complex networks of related concepts that help domain experts to understand or to explain abnormal vessel behaviours. Semantic integration is used to link various information sources, by using a commonly adopted standard. The paper seeks to explore different aspects of using information retrieval to support the analysis and interpretation of abnormal vessel behaviours for maritime surveillance.
Corporate Brand as Co-Driver a Framework for More Transparent Corporate Brand Leverage

As the corporate brand becomes linked to other brands and other entities, a coherent corporate brand architecture becomes a crucial component in a firm’s overall marketing strategy, as it provides a structure to leverage the corporate brand in different product market contexts. This paper discusses how a corporate brand can develop a more expansive brand architecture through imagetransfer to and from brands and other entities in the internal brand hierarchy and surrounding brand network.
Using Agency Theory to Design Successful Outsourcing Relationships

Outsourcing affects thousands of companies and employees every year. Recent studies indicate that 85 per cent of all companies outsource at least one function generating billions of dollars in outsourcing contracts (ElmutiElute, KathwalaKithara & Monippallil, 1995). Transportation is one of outsourcing's biggest players. Many outsourcing attempts have proved unsuccessful and recent articles blame these failures on failed outsourcing relationships. This paper addresses these failed relationships and suggests two possible solutions to the problem. The first solution is to diagnose the relationship from both sides of the contract. The second suggestion is to engage agency theory to help design the types of contracts and relationships necessary to provide and support an environment of trust.
The Great East Japan Earthquake and Investor Behavior in Japan's Equity Markets *

The Japanese stock prices, which had been on the uptrend before the occurence of the Great East Japan Earthquake, dramatically plummeted after the disaster. However, it showed some resilience within a few weeks. In recent years, a large share of transactions in Japan's equity markets has been executed by foreign investors, who conducted more active transactions than usual after the disaster. It was only such foreign investors that purchased Japanese listed equities around the time of the occurence of the disaster. The aggregate trading data of listed equities by main investor groups in Japan shows that the Japanese equities were being propped up by the foreign investors from the beginning of the year 2011. Several preceding literatures on investor groups in Japan show that securities firms often took identical positions with the foreign investors, which means the net purchase by the domestic securities firms also often increased when there was an increase in the net purchase by the foreign investors. However, our research shows that the domestic securities firms and other financial institutions kept on selling equities around the time of the disaster, although the foreign investors were net purchasing. According to our VAR (Vector Autoregression) analysis, a certain pattern of transactions was observed among the domestic investors such as financial institutions and security firms. We also conducted some analyses on the impact of the nuclear power plants' accidents including the stock returns of TEPCO, Tokyo Electric Power Co., Inc., in our VAR analysis. However, there was no special causal relationship observed between the stock returns of TEPCO and the transactions by the foreign investors, who must have been particularly sensitive to the changing situations of the accidents during the period subject to our analysis.
The Impact of Vocational Teachers on Student Learning in Developing Countries

Although a large number of students around the world attend vocational schools, there is little evidence about what factors matter for learning in these schools. Using data on approximately 1,400 vocational students in one eastern province in China, we employ a student fixed-effects model to identify whether teacher enterprise experience, direct occupational experience, and not just program training increases students’ technical skills. We find this to be the case, especially for students who began the program as high performers. In contrast, “professional certification” that is given to teachers who participate in short-term training programs has no positive impact.
A Perception-Action Coupling Type of Control in Long Jumping

Abstract The authors' goal was to identify the control mechanisms used by long jumpers (N = 6) to precisely position their foot at the board. In addition to the intertrial method usually used in previous research, an original method based on a trial-by-trial analysis was also implemented. If the approach to the board in long jumping encompasses two distinct sequences separated by a key step that marks the initiation of visual control, then a trial-by-trial analysis should reveal those sequences, regardless of the amount of adjustment: The step number at which regulation is initiated should be the same irrespective of the amount of adjustment. If, in contrast, a perception-action coupling mechanism operates, then the step number at which regulation is initiated should be a function of the amount of adjustment: A linear relation between those 2 variables should emerge. The results of the present study are compatible with continuous control mechanisms based on a perception-action coupling.
Factor Investing: When Alpha Becomes Beta

Many sources of alpha have become easy to identify and widely replicated over time. Such systematic return drivers, or factors, occupy the space between traditional beta and alpha. They represent investment strategies that require skill beyond passive investing but not the complexity necessary for alpha generation. Factor investing can provide significant benefits to investors through controlled risk exposures and lower fees relative to active investing.
Preferences Evaluation With a Choice Experiment on Cultural Heritage Tourism

This work focuses on the elicitation of tourist preferences from an economic evaluation standpoint and in relation to the Royal Savoy’s Residences, a cultural network included in the UNESCO World Heritage List. After analyzing the visits to the Metropolitan Museum System of Turin City (Italy), a conjoint choice experiment was implemented, where future scenarios of public/private supply were defined by a certain number of tour packages, characterized by different services and prices. The results emphasize the complementarity of the transport rather than the food and wine services. The research also tries to give some suggestions about the understanding, measurement and evaluation of tourist behavior, opening new possibilities for future research directions in the area of the on-site tourist experience.
Impact of Interruptions, Distractions, and Cognitive Load on Procedure Failures and Medication Administration Errors

Medication administration errors are difficult to intercept since they occur at the end of the process. The study describes interruptions, distractions, and cognitive load experienced by registered nurses during medication administration and explores their impact on procedure failures and medication administration errors. The focus of this study was unique as it investigated how known individual and environmental factors interacted and culminated in errors.
INTELLECTUAL CAPITAL, COMPANY’S PERFORMANCE AND GROWTH: AN EMPIRICAL STUDY AT BANKING COMPANIES IN INDONESIA

In a very competitive business environment, the competitive advantage would be in the company favor if It can manage both capitals, i.e., physical and intellectual capitals. The objectives of this research are to examine the influence of intellectual capital on company’s performance and growth. This research used the banking companies listed on Indonesia Stock Exchange for period 2008-2012. Applying the purposive sampling method, the total samples consists of 8 companies. By simple linier regression analysis, the result show that the intellectual capital has positive and significant influence on the company’s performance and growth.
Impact of mode of delivery on pregnancy outcomes in women with premature rupture of membranes after 28 weeks of gestation in a low-resource setting: A prospective cohort study

Background Despite the high prevalence of premature rupture of membranes (PROM) in low-resource settings, the preferred mode of delivery remains unclear. We compared the perinatal mortality in a prospective cohort of women with PROM after 28 weeks following vaginal or caesarean delivery at Mulago Hospital with the aim of adopting evidence based practice and improving patient care. Methods Between November 2015 and May 2016, 1455 women with PROM after 28 weeks of gestation and their newborns were prospectively followed from admission to discharge at Mulago Hospital. The primary outcome was perinatal mortality. Secondary neonatal outcomes included sepsis and admission to the Special Care Unit. Maternal outcomes included maternal deaths and complications. Outcomes were compared between women who had vaginal vs. caesarean delivery using multivariable logistic regression. All statistical tests were 2-sided with the level of statistical significance set at p < 0.05. Results The incidence of PROM was 12.1%. The perinatal mortality following PROM was 65 per 1000 live births. Of the 1425 women with PROM, 991 (69.5%) had vaginal delivery and 434 (30.5%) underwent Caesarean section. There was no statistical difference in perinatal mortality by the mode of delivery (vaginal vs. caesarean) in PROM (p = 0.12). The risk factors for perinatal mortality included chorioamnionitis, failure to administer corticosteroids in preterm PROM, gestational age (28–33 weeks), duration of drainage of liquor (24–48 hours), and presence of maternal complications. Caesarean delivery was associated with increased maternal postpartum infections, admission to the Special Care Unit and maternal death. Conclusion In low resource settings, vaginal delivery is the preferred mode of delivery for PROM after 28 weeks gestation. It is associated with lesser maternal and perinatal morbidity when compared to caesarean delivery.
CMOS-based biosensors with an independent double-gate FinFET

A novel biosensor based on an independent double-gate FinFET is demonstrated for the first time. It features a silicon nanowire implemented on a bulk substrate, a floating gate for charge sensing, and a control gate for current driving. The detection of charged polymers and DNA is demonstrated for the diagnosis of breast cancer.
Oracle identity management

In todays competitive marketplace with its focus on profit, maintaining integrity can often be a challenge. Further complicating this challenge is the fact that those assigned to the task of assuring accountability within an organization often have little, if any, visibility into the inner workings of that organization. Oracle Identity Management: Governance, Risk, and Compliance Architecture is the definitive guide for corporate stewards who are struggling with the challenge of meeting regulatory compliance pressures while embarking on the path of process and system remediation. The text is written by Marlin Pohlman, a director with Oracle who is recognized as one of the primary educators worldwide on identity management, regulatory compliance, and corporate governance. In the books first chapters, Dr. Pohlman examines multinational regulations and delves into the nature of governance, risk, and compliance. He also cites common standards, illustrating a number of well-known compliance frameworks. He then focuses on specific software components that will enable secure business operations. To complete the picture, he discusses elements of the Oracle architecture, which permit reporting essential to the regulatory compliance process, and the vaulting solutions and data hubs, which collect, enforce, and store policy information. Examining case studies from the five most regulated business verticals, financial services, retail, pharma-life sciences, higher education, and the US public sector, this work teaches corporation stewards how to: Attain and maintain high levels of integrity Eliminate redundancy and excessive expense in identity management Map solutions directly to region and legislation Hold providers accountable for contracted services Identity management is the first line of defense in the corporate internal ecosystem. Reconcilingtheory and practicality, this volume makes sure that defense is workable, responsive, and effective.
Consensus analysis of second-order agents with active leader and time delay via impulsive control

In this paper, the leader-following consensus problem of second-order agents with time delay is considered. By designing an appropriate impulse sequence, and assuming that the leader is globally reachable at these impulse moments, the consensus error is estimated if the leader's velocity is variable and the consensus is achieved if the leader's velocity is constant. An example with simulation is given to illustrate the theoretical results.
Varactor modeling methodology for simulation of the VCO tuning sensitivity

A modeling methodology for CMOS varactors is presented using a simple test structure and a new special device target function. The device target function is based on the definition of the differential frequency tuning sensitivity K/sub vco/ of a voltage controlled oscillator (VCO). The parameter extraction applying the new methodology is demonstrated for a BSIM4 MOS model. A good agreement between measurement and simulation of K/sub vco/ for a 4 GHz VCO built in a 0.25 /spl mu/m BiCMOS technology is achieved using a varactor model extracted with the new methodology. The modeling approach directly gives Kvco for different oscillation amplitudes of the VCO. The good agreement between modeled and measured Kvco characteristics can be used to determine the oscillation amplitude of the VCO which is difficult to be measured directly at RF frequencies.
Robust, efficient and balanced (REB) rate-compatible puncturing schemes, for hybrid ARQ algorithms using turbo codes

In this paper, we propose and evaluate compatible puncturing schemes for turbo codes for Forward Error Correction / Automatic Repeat Request (FEC/ARQ) algorithms, in which the data transmission is supposed to go on progressively. The aim is 1) to obtain a better performance w.r. t. hybrid ARQ schemes already proposed in the literature when the user has to cope with some random packet erasures due, e.g., to deep fading conditions on wireless links, or to congestion on wired networks, i.e., when the number of lost data packets (erasures on an erasure channel) is hard to predict; 2) to obtain a performance comparable to one of the most efficient hybrid ARQ schemes proposed in the literature when all the packets are available to the final user, even if seriously corrupted, as on a pure wireless link. To obtain an unbiased comparison of the different schemes, an analytical method based on the sphere-packing bound is employed. To assess the accuracy of the bound, simulation results are also presented.
VALUE RELEVANCE OF BANK OPERATIONAL PERFORMANCE IN INDONESIA

The objective of the paper is to examine the value relevance of the disclosure of bank operating performance, as regulated by Bank of Indonesia. There are five operating performance ratios (CAR, NIM, BOPO, LDR, NPL) are examined in this study. The valuation model, then, also includes earnings and market condition, as control variables. The sample firms are bank that are listed in IDX during period 2005-2010, which consists of 144 observations. The result shows that some observations had performance measures below or above Bank of Indonesia’s acceptable ratio ranges. The analysis shows that only NIM is regarded as a relevant valuation factor. CAR and BOPO are less relevant, when earnings are used as control variables. Earnings and market condition are positively related to market value of the banks. This concludes that market is indifferent in their valuation approach to banking industry and other industries.