Miracle-dz/UniFAR-FTUs huggingface dataset:
What ’ s going on in India ?

The glory. After 40 years of economic growth that barely exceeded population growth, India turned into a growth miracle, pulling hundreds of millions of people out of destitution. At Independence in 1947, Indians were perhaps the most malnourished large population in human history. Life expectancy at birth was close to 30 years. Today, each generation is taller than the previous one, gross medical signs of malnutrition are rare, more than 95% of Indians say that they get " enough food every day " , and the prevalence of extreme stunting and wasting is falling. Child and infant mortality rates are declining, and are lower in India today than in England in 1945. Girls are going to school en masse, even in places where their mothers are illiterate. That a few, smallish, Asian tigers could achieve such miracles is one thing. That India (and China) could do so for more than 2 billion people is surely one of the remark able and benevolent transitions of all time. So why the uncertainty? The World Bank classes India as a middle-income country, yet a third of the population lives below the destitution poverty line. Indians comprise a third of all of the world's poor. According to WHO's international growth standards, a half of India's children are severely malnourished, more than in most of sub-Saharan Africa, despite Africa's much lower incomes and higher mortality rates. The rate at which poverty is falling is much lower than would be warranted by India's growth rate if growth were equally spread. Many government schools and clinics are disfi gured by worker absenteeism, for which the culprits usually face no consequence. Private health care fills in, but private practitioners are not regulated, are often entirely unqualified, and routinely and indiscriminately dispense the antibiotics, injections, and intravenous drips that their clients demand. Public doctors are qualifi ed, but most spend little time with their patients and rarely undertake even basic medical tests. The Public Distribution Scheme (PDS), which provides heavily subsidised food to the poor, is rife with corruption, its food is often adulterated, and only a little more than a half of what is destined for the poor reaches them; the rest is lost through poor storage or sold off by corrupt offi cials. Critics levy similar charges against the more recent employment scheme that guarantees 100 days of work to each rural household at a government wage. …
ASYNCHRONOUS IMPLEMENTATION OF A PETRI NET BASED DISCRETE EVENT CONTROL SYSTEM USING A XILINX FPGA

This paper presents an asynchronous implementation of a Petri net based discrete event control system (DECS) using a Xilinx field programmable gate array (FPGA). Unlike microprocessor, microcontroller or programmable logic controller (PLC)-based software implementations, and hardwarebased synchronous implementations, the implementation method used in this paper is asynchronous and based on hardware offering very high speed to control fast plants at low cost. This paper reports on the successful implementation of a Petri net based DECS for an experimental manufacturing system by using the method proposed in (Uzam et al, 2001). The implementation of the controller is accomplished by using a Xilinx FPGA. This paper, therefore, is expected to serve as a guideline to show how to obtain very high speed, concurrent and asynchronous Petri net based controllers.
Time-varying industry beta in Indian stock market and forecasting errors

Purpose – The purpose of this paper is to empirically estimate industry beta in Indian stock market with three alternative models and compare the accuracy of forecasting error to find the most suitable model for time-varying beta estimation. Design/methodology/approach – The paper applies the standard regression model, Kalman filter model, other statistical approaches and secondary material. Findings – The paper finds that the existence of dynamic beta in Indian market. The results also indicate systematic risk or beta of Indian industries is susceptible to the global economic effect. Finally, the Kalman filter generates the lower forecasting error compared to the other method for almost all the industries. Practical implications – The accurate estimation of beta which is a measure of systematic risk helps investors to make investment decision easier. The implication of this result is important for finance practitioners such as portfolio managers, investment advisors and security analysts. This study will.
Methodology for identifying and solving accessibility related issues in web content management system environments

This work presents a methodology that allows identifying and solving accessibility related issues in web pages using Web Content Management System (CMS) environments. In this sense, the methodology establishes a series of steps to be performed in order to ensure that the content managed by CMSs is accessible. A study has been performed on two different CMSs to check the validity of the steps defined in the methodology. The paper includes the methodology used, the evaluation performed on both CMS (OpenCMS and Typo3) and the key findings of the analysis. The results of the study have been positive as the objective of providing CMS environments that allow developing accessible web pages has been fulfilled.
1 Introduction 1 . 1 Motivation : When is it Best to Best-Respond ?

Under many protocols — in computerized settings and in economics settings — participants repeatedly “best respond” to each others’ actions until the system “converges” to an equilibrium point. We ask when such myopic “local rationality” implies “global rationality”, i.e., when is it best for a player, given that the others are repeatedly best-responding, to also repeatedly best-respond? We exhibit a class of games where this is indeed the case. We identify several environments of interest that fall within our class: models of the Border Gateway Protocol (BGP) [9], that handles routing on the Internet, and of the Transmission Control Protocol Protocol (TCP) [7], and also stable-roommates [5] and cost-sharing [12, 13], that have been extensively studied in economic theory. ∗The School of Computer Science and Engineering, The Hebrew University of Jerusalem, Israel. Google, Tel Aviv, Israel. Supported by grants from the Israel Science Foundation. E-mail: noam@cs.huji. ac.il †Computer Science Dept. Yale University. Supported by grants from the Israel Science Foundation. E-mail: mikesch@cs.huji. ac.il ‡The School of Computer Science and Engineering, The Hebrew University of Jerusalem, Israel. Supported by grants from the Israel Science Foundation. E-mail: avivz@cs.huji. ac.il §Dept. of Computer Science, UC Berkeley, USA. E-mail: gvaliant@eecs.berkeley. edu
Determining the cost-effectiveness of a computer-based smoking cessation intervention in primary care.

PURPOSE To evaluate the incremental effectiveness and cost-effectiveness of a staged-based, computerized smoking cessation intervention relative to standard care in an urban managed care network of primary care physicians. DESIGN Decision-analytic model based on results of a randomized clinical trial. METHODOLOGY Patient outcomes and cost estimates were derived from clinical trial data. Effectiveness was measured in terms of 7-day point-prevalence abstinence at 6 months post-intervention. Quality-adjusted life years (QALYs) and cost-effectiveness (CE) were calculated, with CE measured as cost per patient per life year saved and per quality-adjusted life years saved. CE estimates were adjusted to account for partial behavior change as measured in terms of progression in stage of readiness to quit. Sensitivity analyses were conducted to evaluate the robustness of key model assumptions. PRINCIPAL FINDINGS Intervention patients were 1.77 times more likely to be smoke-free at 6 months follow-up than those in standard care (p=.078). The intervention generated an additional 3.24 quitters per year. Annualized incremental costs were $5,570 per primary care practice, and $40.83 per smoker. The mean incremental cost-effectiveness ratio was $1,174 per life year saved ($869 per QALY). When the intervention impact on progression in stage of readiness to quit was also considered, the mean incremental cost-effectiveness ratio declined to $999 per life year saved ($739 per QALY). CONCLUSIONS From a physician's practice perspective, the stage-based computer tailored intervention was cost-effective relative to standard care. Incorporation of partial behavior change into the model further enhanced favorability of the cost-effectiveness ratio.
Monopoles in Space-Time Noncommutative Born-Infeld Theory

We transform static solutions of space-noncommutative Dirac-Born-Infeld theory (DBI) into static solutions of space-time noncommutative DBI. Via Seiberg-Witten map we match this symmetry transformation with a corresponding symmetry of commutative DBI. This allows to: 1) study new BPS type magnetic monopoles, with constant electric and magnetic background and describe them both in the commutative and in the noncommutative setting; 2) relate by S-duality space-noncommutative magnetic monopoles to space-noncommutative electric monopoles.
A Robust Observer Design Method for Continuous-Time Lipschitz Nonlinear Systems

A new observer design method for Lipschitz nonlinear systems is proposed in the form of LMI optimization problem. Besides asymptotic stability, the proposed observer is robust against some nonlinear uncertainty. In addition, a new LMI approach for Hinfin nonlinear observer designed is introduced. The new LMI formulation allows optimizations both on the Hinfin cost and nonlinear uncertainty robustness
Real‐Time Volume Deformations

Real‐time free‐form deformation tools are primarily based on surface or particle representations to allow for interactive modification and fast rendering of complex models. The efficient handling of volumetric representations, however, is still a challenge and has not yet been addressed sufficiently. Volumetric models, on the other hand, form an important class of representation in many applications. In this paper we present a novel approach to the real‐time deformation of scalar volume data sets taking advantage of hardware supported 3D texture mapping. In a prototype implementation a modeling environment has been designed that allows for interactive manipulation of arbitrary parts of volumetric objects. In this way, any desired shape can be modeled and used subsequently in various applications. The underlying algorithms have wide applicability and can be exploited effectively for volume morphing and medical data processing.
Liquidity Creates Money and Debt: An Intertemporal Linear Trading Post Model

Liquidity Creates Money and Debt: An Intertemporal Linear Trading Post Model Ross M. Starr University of California, San Diego July 21, 2014 Preliminary — Not for Quotation Abstract In a pure exchange trading post economy over time linear transaction costs are recouped through a bid-ask price spread. There is a full set of spot and futures markets at each date, trivially generating rational price expec- tations. For every two commodities, there is a trading post where they can be traded pairwise for one another: spot for spot, spot for future, future for future. Most trading posts will be priced but inactive in equilibrium. One commodity (denoted m ) has, by assumption, distinctly low spot and futures transaction cost. Spot markets are assumed to have lower transaction cost than futures markets. Bid and ask prices for all goods, spot, in exchange for the low-transaction-cost good m reflect its low transaction cost, creating a narrow bid-ask spread. In general equilibrium and assuming the absence of double coincidence of wants, the low-transaction-cost commodity m be- comes the common medium of exchange. Further, storing m or engaging in futures market transactions for m (borrowing and lending) make m and its debt instruments ( m -futures) the prevailing intertemporal store of value. The rate of interest on m is implied in the pricing of m -futures. m ’s spe- cialization as the common medium of exchange and store of value is the result of decentralized exchange and competitive pricing. There is no role for governmental or legal tender designation, or consensus among transac- tors. Monetization of exchange using m as ’money’ is fully decentralized by general equilibrium pricing.
A leakage-energy-reduction technique for highly-associative caches in embedded systems

Power consumption is becoming one of the most important constraints for microprocessor design in nanometer scale technologies. Especially, as the transistor supply voltage and threshold voltage are scaled down, leakage energy consumption is increased even when the transistor is not switching. This paper proposes a simple technique to reduce the static energy. The key idea of our approach is to allow the ways within a cache to be accessed at different speeds and to place infrequently accessed data into the slow ways. We use dual-Vt technique to realize the non-uniform set-associative cache, and propose a simple replacement policy to reduce average access latency. Experimental results on 32-way set-associative caches demonstrate that any severe increase in clock cycles to execute application programs is not observed and significant static energy reduction can be achieved, resulting in the improvement of energy-delay product.
Humanoid robot push recovery through walking phase modification

Push recovery is an important capability that needs to be included while developing a robust humanoid robot walking scheme. In this paper we propose an overall control system and a push recovery controller for humanoid robot walking. When the robot is pushed, the algorithm will modify the walking phase to maintain walking, while considering the practical constraints. 3D simulation results of the walking phase modification approach are presented and its effectiveness for push recovery during walking is discussed.
A predictive power control scheme for OFDM wireless network

A new predictive power control scheme was considered for a wireless cellular system employing orthogonal frequency division multiplexing (OFDM). To mitigate the effect of cochannel interference CCI while satisfying required quality of service, the power level on each subchannel of OFDM systems should be allocated to and controlled at an optimum level. A conventional approach to OFDM power allocation system design is to maintain the same link quality for all subchannels. This simple scheme requires high power consumption and deteriorates control stability and convergence properties. To overcome the drawbacks of the traditional approach, a new power control scheme is proposed. Numerical results are presented to illustrate the advantages of the proposed algorithm over the conventional one
AI based supervised classifiers: an analysis for intrusion detection

Researchers investigated Artificial Intelligence (AI) based classifiers for intrusion detection to cope the weaknesses of knowledge based systems. AI based classifiers can be utilized in supervised and unsupervised mode. Here, we perform a blind set of experiments to compare & evaluate performance of the supervised classifiers by their categories using variety of metrics. The performance of the classifiers is analyzed using subset of benchmarked KDD cup 1999 dataset as training & Test dataset. This work has significant aspect of using variety of performance metrics to evaluate the supervised classifiers because some classifiers are designed to optimize some specific metric. This empirical analysis is not only a comparison of various classifiers to identify best classifier on the whole and best classifiers for individual attack classes, but also reveals guidelines for researchers to apply AI based classifiers to field of intrusion detection and directions for further research in this field.
Compliance analysis of IT investment governance practices to Val IT 2.0 framework in Indonesian commercial bank: The XYZ Bank case study

Company becomes more concern on the role of information technology (IT) as enabler of business. To enhance its performance, it needs to improve service quality, for example by increasing IT investment. This paper aims to analyze the practice of IT investment governance in XYZ Bank and sees its compliance with Val IT 2.0 in order to improve the current practices. Our findings show that project management to run IT investment initiatives has well established and is capable to help the company to achieve its objectives. Moreover, our analysis also show that almost all practices in the current framework can be mapped into Val IT 2.0. It shows a fact that although XYZ Bank has less awareness on IT investment governance framework, its current practices already meet the criteria of such a good IT investment governance.
A SPITZER SPECTROSCOPIC SURVEY OF LOW-IONIZATION NUCLEAR EMISSION-LINE REGIONS: CHARACTERIZATION OF THE CENTRAL SOURCE

We have conducted a comprehensive mid-infrared (IR) spectroscopic investigation of 67 low-ionization nuclear emission line regions (LINERs) using archival observations from the high-resolution modules of the Infrared Spectrograph on board the Spitzer Space Telescope. Using the [Ne v] 14 and 24 μm lines as active galactic nuclei (AGNs) diagnostics, we detect active black holes in 39% of the galaxies in our sample, many of which show no signs of activity in either the optical or X-ray bands. In particular, a detailed comparison of multiwavelength diagnostics shows that optical studies fail to detect AGNs in galaxies with large far-IR luminosities. These observations emphasize that the nuclear power source in a large percentage of LINERs is obscured in the optical. Indeed, the majority of LINERs show mid-IR [Ne v] 14/[Ne v] 24 μm flux ratios well below the theoretical low-density limit, suggesting that there is substantial extinction toward even the [Ne v]-emitting region. Combining optical, X-ray, and mid-IR diagnostics, we find an AGN detection rate in LINERs of 74%, higher than previously reported statistics of the fraction of LINERs hosting AGNs. The [Ne v] 24 μm/[O iv] 26 μm mid-IR line flux ratio in AGN-LINERs is similar to that of standard AGNs, suggesting that the spectral energy distribution of the intrinsic optical/UV continuum is similar in the two. This result is in contrast to previous suggestions of a UV deficit in the intrinsic broadband continuum emission in AGN-LINERs. Consistent with our finding of extinction to the [Ne v]-emitting region, we propose that extinction may also be responsible for the observed optical/UV deficit seen in at least some AGN-LINERs.
Global adaptive neural tracking control of strict-feedback systems with bounded uncertainty

In general, the adaptive neural tracking controllers ensure the semiglobal uniform ultimately bounded (SGUUB) stability on the condition that the neural approximation remains valid for all time. However, such a condition is difficult to verify beforehand. The paper aims to conquer such a drawback for strict-feedback systems with bounded mismatched uncertainty here. The proposed scheme contains an adaptive neural controller, a robust controller, and a switching algorithm monitoring the exchange of the two aforementioned controllers. In particular, the switching algorithm is sufficiently smooth and hence can be incorporated with the backstepping tool. The overall controller ensures the global uniformly ultimate boundedness (GUUB) without requiring prior knowledge of bounds of the neural approximation errors. Simulation results demonstrate the validity of the proposed designs.
PREDICTING THE SUCCESS OF NATIONS IN ASIAN GAMES USING NEURAL NETWORK

International success especially Asian sporting success has become increasingly important to a growing number of countries. Although an increasing number of nations invest large amounts of money in sport in order to compete against other nations, there is no clear evidence that demonstrates how sports variables can influence international sporting success. In this paper we tried to predict the success of nations in Asian Games Using Neural Network through macropolitical, economic, social and cultural variables. we used the information of variables include urban population, Education Expenditures, Age Structure, GDP Real Growth Rate, GDP Per Capita, Unemployment Rate, Population, Inflation Average, current account balance, life expectancy at birth and Merchandise Trade for all of the participating countries in Asian Games from 1970 to 2006 in order to build the model and then this model was tested by the information of variables in 2010. We used WEKA software that is a popular suite of machine learning software written in Java. The prediction is based on the number of golden medals acquired each country. The value of correlation coefficient between the predicted and original ranks is 86%. One of the other results of this research is that the predicted rank of countries include China, South Korea, Iran and Uzbekistan is exactly identical with their original rank and the difference between the original rank of the first ten countries and the predicted rank of them is minimal. We tried to design the pattern that: To give the opportunity to athletes to compare themselves with athletes from the other countries in order to identify their position and plan the necessary training programs and finally, obtain the better records according to the standard templates.
Recurrent coiled-coil motifs in NUP98 fusion partners provide a clue to leukemogenesis.

The NUP98 gene is the target of recurrent translocations in leukemia that fuse the 5′ portion of NUP98 with coding sequence from the partner gene. [1-8][1] Three of the known fusion partners, HOXA9 , HOXD13, and PMX1, are homeobox genes. The other known fusion partners, DDX10 , RAP1GDS1 , TOP1, and
On-line Dynamic Security Assessment with Missing PMU Measurements : A Data Mining Approach

A data mining approach using ensemble decision trees (DTs) learning is proposed for on-line dynamic security assessment (DSA), with the objective of mitigating the impact of possibly missing PMU data. Specifically, multiple small DTs are first trained off-line using a random subspace method. In particular, the developed random subspace method exploits the hierarchy of wide-area monitoring system (WAMS), the locational information of attributes, and the availability of PMU measurements, so as to improve the overall robustness of the ensemble to missing data. Then, the performance of the trained small DTs is re-checked by using new cases in near real-time. In on-line DSA, viable small DTs are identified in case of missing PMU data, and a boosting algorithm is employed to quantify the voting weights of viable small DTs. The security classification decision for on-line DSA is obtained via a weighted voting of viable small DTs. A case study using the IEEE 39-bus system demonstrates the effectiveness of the proposed approach.
3D Mapping, Localisation and Object Retrieval using Low Cost Robotic Platforms: A Robotic Search Engine for the Real-World

In this paper we present work in progress on the development of a low-cost autonomous robotic platform that integrates multiple state-of-the-art techniques in RGB-D perception to form a system capable of completing a real-world task in an entirely autonomous fashion. The task we set out to complete is determining the location of a preselected object within the physical world. This experiment requires a robotic framework with a number of capabilities including autonomous exploration, dense real-time localisation and mapping, object detection, path planning and motion control.