Miracle-dz/UniFAR-FTUs huggingface dataset:
Investigation of Frequent Batch Auctions using Agent Based Model Takanobu Mizuta

Recently, the speed of order matching systems on financial exchanges increased due to competition between markets and due to large investor demands. There is an opinion that this increase is good for liquidity by increasing providing liquidity of market maker strategies (MM), on the other hand, there is also the opposite opinion that this speed causes socially wasteful arms race for speed and these costs are passed to other investors as execution costs. A frequent batch auction (FBA) which reduces the value of speed advantages proposed, however, is also criticized that MM providing liquidity are exposed to more risks, and then they can continue to provide liquidity, then many MM retire, and finally liquidity will be reduced. In this study we implemented a price mechanism that is changeable between a comparable continuance double auction (CDA) and FBA continuously, and analyzing profits/losses and risks of MM, we investigated whether MM can continue to provide liquidity even on FBA by using an artificial market model. Our simulation results showed that on FBA execution rates of MM becomes smaller and this causes to reduce liquidity supply by MM. They also suggested that on FBA MM cannot avoid both an overnight risk and a price variation risk intraday, furthermore, it is very difficult that MM is rewarded for risks and continues to provide liquidity. Only on CDA MM is rewarded for risks and continue to provide liquidity. This suggestion implies that MM that can provide liquidity on CDA cannot continue to provide liquidity on FBA and then many MM retire, finally liquidity will be reduced. ∗ Note that the opinions contained herein are solely those of the authors and do not necessarily reflect those of Japan Exchange Group, Inc., its subsidiaries, affiliates, and SPARX Asset Management Co., Ltd. This research was partially supported by CREST, JST and JSPS KAKENHI Grant Number 15H02745. Contact: Takanobu Mizuta (mizutata@gmail.com) † SPARX Asset Management Co., Ltd. ‡ The University of Tokyo
Title Diagnostic Accuracy of Memory Measures in Alzheimer ' s Dementia and Mild Cognitive Impairment : a Systematic Review and Meta-Analysis Permalink

With an increasing focus on biomarkers in dementia research, illustrating the role of neuropsychological assessment in detecting mild cognitive impairment (MCI) and Alzheimer’s dementia (AD) is important. This systematic review and metaanalysis, conducted in accordance with PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) standards, summarizes the sensitivity and specificity of memory measures in individuals with MCI and AD. Both meta-analytic and qualitative examination of AD versus healthy control (HC) studies (n = 47) revealed generally high sensitivity and specificity (≥ 80% for AD comparisons) for measures of immediate (sensitivity = 87%, specificity = 88%) and delayed memory (sensitivity = 89%, specificity = 89%), especially those involving word-list recall. Examination of MCI versus HC studies (n = 38) revealed generally lower diagnostic accuracy for both immediate (sensitivity = 72%, specificity = 81%) and delayed memory (sensitivity = 75%, specificity = 81%). Measures that differentiated AD from other conditions (n = 10 studies) yielded mixed results, with generally high sensitivity in the context of low or variable specificity. Results confirm that memory measures have high diagnostic accuracy for identification of AD, are promising but require further refinement for identification of MCI, and provide support for ongoing investigation of neuropsychological assessment as a cognitive biomarker of preclinical AD. Emphasizing diagnostic test accuracy statistics over null hypothesis testing in future studies will promote the ongoing use of neuropsychological tests as Alzheimer’s disease research and clinical criteria increasingly rely upon cerebrospinal fluid (CSF) and neuroimaging biomarkers.
Chapter 7 Monitoring forest cover and deforestation

Forests provide a range of goods and services that benefit peoples’ livelihoods and wellbeing and that play an important role in economies around the world. It is widely acknowledged that reliable and timely information on forest resources are essential to assess the full benefits of forests, as well as facilitate governments and other stakeholders in assessing and monitoring the effectiveness of policies and programs related to forestry and other land uses (MacDicken, 2015).
Aequorin Based Functional Assessment of the Melanin Concentrating Hormone Receptor by Intracellular Calcium Mobilization

Melanin concentrating hormone is a neuropeptide highly expressed in the brain that regulates several physiological functions mediated by receptors in the G-protein coupled receptor family, especially plays an important role in the complex regulation of energy balance and body weight mediated by the melanin concentrating hormone receptor subtype 1 (MCH1). Compelling pharmacological evidence implicating MCH1 signaling in the regulation of food intake and energy expenditure has generated a great deal of interest by pharmaceutical companies as MCH1 antagonists may have potential therapeutic benefit in the treatment of obesity and metabolic syndrome. Although fluorescence-based calcium mobilization assay platform has been one of the most widely accepted tools for receptor research and drug discovery, fluorescence interference and shallow assay window limit their application in high throughput screening and have led to a growing interest in alternative, luminescence-based technologies. Herein, a luminescence-based functional assay system for the MCH1 receptor was developed and validated with the mitochondrial targeted aequorin. Aequorin based functional assay system for MCH1 presented excellent Z’ factor (0.8983) and high signal-to-noise ratio (141.9). The nonpeptide MCH1 receptor antagonist, SNAP 7941 and GSK 803430, exhibited IC50 values of 0.62 ± 0.11 and 12.29 ± 2.31 nM with excellent correlation coefficient. These results suggest that the aequorin based assay system for MCH1 is a strong alternative to the traditional GPCR related tools such as radioligand binding experiments and fluorescence functional determinations for the compound screening and receptor research.
Self-employment and Motherhood – What Can We Infer from the Survey Data?

There is a broad discussion in the literature if self-employment is a solution allowing women to reconcile their work and family life. Nevertheless there is still very little empirical evidence supporting this hypothesis for different countries and institutional frameworks and the results are mixed. One of the reasons may be the lack of sufficient data containing questions on self-employment, entrepreneurship, innovations, firm performance and simultaneously questions fertility intentions and decisions. The article compares properties of several European representative surveys and discusses potential methodological issues.
Gene Expression Profiling In Rat Smooth Muscle Cells Reveals Novel Regulatory Pathways Modulated by Rapamycin and Paclitaxel

Drug-eluting stents have rapidly become a standard therapy for treatment of obstructive coronary artery disease. Differences exist in therapeutic responses to different DES formulations, and mechanisms to predict drug responses in the preclinical setting have not been standardized. We have used gene expression profiling to characterize the patterns of gene regulation within cultures of rat aortic smooth muscle cells treated with rapamycin or paclitaxel. Although both drugs are used to arrest smooth muscle proliferation when delivered by drug eluting stents, there were major differences in gene regulatory responses. Paclitaxel caused marked changes in expression of tubulin and microtubule-related genes. In contrast, the gene expression responses to rapamycin demonstrated dramatic effects on the transcription of genes involved in cell signaling and macromolecular biosynthesis. Gene expression profiling may provide a useful preclinical method to characterize the activities of candidate drugs for stent impregnation, and to understand their biological activities.
The Research and Application of Fuzzy Association Rule Mining in Power Plant Operation Optimization

The determination of the operation optimization values is very important to the validity and accuracy of the economical analysis in thermal power plants.Based on the association characteristic of the electric industrial data,this paper proposed the operation optimization based on data mining in power plants.The basic structure of operation optimization based on data mining is established and the improved fuzzy association rule mining algorithm is used to find the optimization target values from quantitative values of the equipments to guide the operation in power plant.Based on the actual local data in 300MW unit,the optimal values of each performance targets and operating parameters with the relationship to the load of the unit are found out.The optimal values are provided to the operators online to guide the operation.The experiment results show that the new method can improve the efficiency and decrease the contamination emission.The optimization values by fuzzy association mining reflect the optimal running status and can be used to provide to the operators to guide the operation online.
Study of STATCOM based on hybrid cascaded multilevel inverter

As the broad application of multilevel inverters in high-power area,a 2H/3H cascaded multilevel inverter is used as a static synchronous compensator(STATCOM). Stair-waveform modulation and equal-pulse width modulation(EPWM) is used to control this STATCOM.Comparing with the STATCOM put into operation,this STATCOM can eliminate bulky and weighty transformers.Therefore,the power loss and the cost of this system are reduced.Furthermore,this STATCOM outputs less harmonic so that it will not bring new pollution into the power system.This paper explains the operation principle and the modulation technique of this system.The simulation software Simplorer is used to prove the validity of this system.
Overview of XBRL Technologies for Decision Making in Accounting Information Systems

XBRL (Extensible Business Reporting Language) is a language for the electronic communication of business and financial data in XML (Generalized Markup Language). This technology has benefits in the preparation, analysis and business data informing compared with other methods of paper basis or hoc technologies of previous EDI (Semantic Web). These advantages include cases such as cost reduction, greater efficiency and effectiveness, accuracy and reliability for all activities involved in supplying or using financial data. This article has an overview to XBRL technologies and how to employ them in decision-making in various financial areas and also considers the Semantic Web and Web Services as future challenges. Normal 0 false false false RU X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Обычная таблица"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin;}
Eire Mod: A DSGE Model for Ireland

We present EIRE Mod, a quarterly DSGE model developed for macroeconomic policy analysis in Ireland. We simulate productivity and wage and price mark-up shocks to mimic the impact of various structural reforms aimed at improving the efficiency and competitiveness of the Irish economy. We find that all the structural reforms lead to an increase in aggregate output. However, depending on the source of the shocks, there are important differences in the transmission channels and the effect on employment and external competitiveness. This work is the first step towards the development of a suite of DSGE models for Ireland. Extensions of the core EIRE Mod detailed here will further enhance its analytic capabilities.
Decentralization in Argentina

Human development, reflected in the status of people's levels of health and education, affects future growth and, in turn, is affected by decentralization. Unlike earlier exclusive emphasis on budgetary issues, this study focuses on the impact of fiscal decentralization on the level of human development. It traces the origin and recent development of revenue-sharing arrangements across Argentina's provinces over time (1970-94). The study regresses two indicators of health and educational status on two decentralization measures. It highlights the link between decentralization and human development outcomes and suggests that devolutionary decentralization has a positive influence on the effectiveness of public policy directed towards an improvement in the level of human development. Decentralization is shown to reduce intra- regional disparities and increase levels of human development. While the paper also recognizes problems associated with decentralization, including addressing inter-regional disparities, the positive impact of decentralization schemes on human development is seen to be of relevance in evaluating the Argentine co-participation regime which is currently under negotiation.
APTITUDE, EXPERIENCE, AND SECOND LANGUAGE PRONUNCIATION PROFICIENCY DEVELOPMENT IN CLASSROOM SETTINGS

Abstract The current study longitudinally examined the influence of aptitude on second language (L2) pronunciation development when 40 first-year Japanese university students engaged in practice activities inside and outside English-as-a-Foreign-Language classrooms over one academic year. Spontaneous speech samples were elicited at the beginning, middle, and end points of the project, analyzed for global, segmental, syllabic, prosodic, and temporal aspects of L2 pronunciation, and linked to their aptitude and experience profiles. Results indicated that the participants generally enhanced the global comprehensibility of their speech (through reducing vowel insertion errors in complex syllables) as a function of increased classroom experience during their first semester, and explicit learning aptitude (associative memory, phonemic coding) appeared to help certain learners further enhance their pronunciation proficiency through the development of fluency and prosody. In the second semester, incidental learning ability (sound sequence recognition) was shown to be a significant predictor of the extent to which certain learners continued to improve and ultimately attain advanced-level L2 comprehensibility, largely thanks to improved segmental accuracy.
1 Measuring Changes in Health Capital

This study is aimed to estimate the value of the change in health observed in Catalonia, from 1994 to 2002. Quality-adjusted years of life (QALYs) and years of life (YOL) for genders and different ages were calculated and then transformed in monetary values. Our results shown that the health capital stock has diminished from 1994 to 2002 due to a worsening in the quality of life of the population. Different estimation procedures have been applied for revealing relevant variables that help to explain this negative result.
A clinical study of MLC-based IMRT lung dose calculation accuracy on plan evaluation parameters

Intensity Modulated Radiation Therapy (IMRT) is widely accepted as an appropriate method to treat tumors at many different anatomic locations including lung. Dose calculation algorithms that have different degrees of accuracy are used to produce clinical IMRT treatment plans. In this study, Monte Carlo (MC) dose calculation was used to evaluate the reliability of plan evaluation parameters compared to a pencil beam (PB) dose calculation for IMRT of the lung.Twenty fi ve lung IMRT cases were randomly selected for analysis. Plan evaluation parameters were calculated using PB and MC methods for the targets and organs at risk (OARs). Comparisons were made using dose-volume histograms, mean dose, and equivalent uniform dose. The following doses-volume histogram points were compared: D98, D95 of the GTV and PTV, V20 and V30 for the lungs, D33 for the heart and esophagus and Dmax for the spinal cord. Mean dose differences were 3.6 ± 2.3% and 4.3 ± 2.8% for the GTV and PTV, respectively. The average EUD differences were 4.1 ± 2.4% for the GTV and 5.7 ± 4.9% for the PTV. Less than 2% differences were observed between the MC and PB algorithms for all OAR plan evaluation parameters. However, minimum and maximum differences for some plan evaluation parameters ranged from about ±20%. There are appreciable differences in plan evaluation parameters between the PB and MC calculations for the targets. The mean dose and EUD have a weak but statistically signifi cant inverse dependence on the number of fi elds, total MU, GTV volume and PTV volume for the targets. There can be large case-to-case differences between PB and MC for both the targets and OARs. Accurate MC calculations can remove those remaining systematic errors from treatment plans compared to PB calculations.
Eco-ideation and eco-selection of R&D projects for complex systems

Eco-design becomes more and more recognized and well deployed in competitive mass-consumer goods producers (B-to-C). However the situation is not so advanced in B-to-B industries, in particular for complex industrial systems, characterized by a very long and uncertain life cycle, a high number of subsystems and components or strong interactions with their environment. The technological and regulatory constraints associated with these systems may slow down the ability to innovate, as reliable and long-term proven technologies are often favored. Nevertheless the need for eco-innovation is clearly present, however to eco-innovate on complex industrial systems is a hard task. R&D projects in complex systems industries are often driven by technological and not environmental considerations. These project need to be identified really early in the design process, with few information. On the other hand everybody agrees that environmental-oriented R&D projects are necessary, but the product complexity makes the initiation of an eco-innovation approach tricky, and only few R&D decision-makers are trained in eco-design or eco-innovation. That is why a simple and effective eco-innovation method is necessary, with little necessary preliminary environmental knowledge and stimulating the collaboration. Thus we propose in this paper such an intuitive eco-innovation process. It permits to identify at a strategic level and with limited time and resources eco-innovative R&D projects through a multidisciplinary working group.
Research on the Relationship between Training and Knowledge Worker Retention

Knowledge workers are invaluable assets in the organization in the knowledge economy era today. Both training and employee retention are the two critical parts in human resource management. The report analyzes why training might influence knowledge worker retention based on human capital theory and psychological contract theory. Followed with the empirical evidence on the link between training and retention, the report finishes with conclusions and future research directions.
Evaluating the feasibility and impact of interactive telephone technology and incentives when combined with a behavioral intervention for weight loss: a pilot study

Correspondence: Mary Annette Hess School of Nursing, Room 436, 1701 University Boulevard, University of Alabama at Birmingham (UAB), Birmingham, AL 35294-1210, USA Tel +1 205 934 0479 Fax +1 205 996 7183 Email wrighta@uab.edu Abstract: The purpose of this study was to determine the effectiveness of delivering the ‘EatRight Lifestyle’ program as an educational weight loss program when combined with a system for behavior-based incentives (ie, ChipRewards). Participants (N = 70) were randomly assigned to one of two interventions over a 12-week period: (1) ‘EatRight Lifestyle’ only (control), and (2) ‘EatRight Lifestyle plus ChipRewards’. From baseline to the 12-week visit, the overall attrition rate was 27.14% (n = 19). A completers only and an intent-to-treat repeated measures analysis of covariance was conducted on the outcome measures (ie, weight loss, change in blood glucose) for the baseline and 12-week visit. It was found that waist circumference decreased slightly for those in the ‘EatRight Lifestyle plus ChipRewards’ program; however, BMI and weight was slightly more reduced for those who were more compliant to the study protocol in general, regardless of group assignment. No other time or group differences were detected. This study showed that these two weight loss programs did not produce drastically differential effects on these outcome measures.
Bridging research to operations transitions: Status and plans of community GSI

AbstractWith a goal of improving operational numerical weather prediction (NWP), the Developmental Testbed Center (DTC) has been working with operational centers, including, among others, the National Centers for Environmental Prediction (NCEP), National Oceanic and Atmospheric Administration (NOAA), National Aeronautics and Space Administration (NASA), and the U.S. Air Force, to support numerical models/systems and their research, perform objective testing and evaluation of NWP methods, and facilitate research-to-operations transitions. This article introduces the first attempt of the DTC in the data assimilation area to help achieve this goal. Since 2009, the DTC, NCEP’s Environmental Modeling Center (EMC), and other developers have made significant progress in transitioning the operational Gridpoint Statistical Interpolation (GSI) data assimilation system into a community-based code management framework. Currently, GSI is provided to the public with user support and is open for contributions from inter.
A Novel Design of Penternary Inverter Gate Based on Carbon Nano Tube

(Received 23 Dec. 2017; Revised 16 Jan. 2018; Accepted 21 Feb. 2018; Published 15 Mar. 2018) Abstract: This paper investigates a novel design of penternary logic gates using carbon nanotube field effect transistors (CNTFETs). CNTFET is a suitable candidate for replacing MOSFET with some useful properties, such as the capability of having the desired threshold voltage by regulating the diameter of the nanotubes. Multiple-valued logic (MVL) such as ternary, quaternary, and penternary is a promising alternative to the binary logic design, because of less complexity, less computational step and reduced chip area. We propose two penternary inverters which are designed in the multiplevalued voltage mode based on CNTFET. In the first proposed design, the resistors are used to implement penternary logic whereas, in the second proposed design, they are replaced with the transistors. Extensive simulation results using HSPICE represent that the two proposed designs reduce significantly the power consumption and delay and sensitivity to process variations as compared to the state-of-the-art penternary logic circuit in the literature.