Miracle-dz/UniFAR-FTUs huggingface dataset:
Traditional Markets Community Empowerment Model in Good Governance Approach (Studies of the Bunder Market Merchants Empowerment in Healthy Markets Program in Sragen Regency of Indonesia)

This research on model of traditional markets community empowerment in good governance approach of Bunder Healthy Market Program in Sragen City is aimed to analyze, interpret and describe several objectives, which are: 1). the implementation of a Healthy Market Program; 2). the role of local government, private, and market community through Healthy Markets Program; and 3). develop an alternative model of market community empowerment in good governance perspective. This study used qualitative research method in which data were collected through observations, in-depth interviews, documentation and focused group discussion techniques. Qualitative data analysis was chosen as the technique of data analysis. The Bunder Market Community Empowerment Program is a partnership program among the three parties namely: Sragen Regency Local Government, private sector which was Yayasan Danamon Peduli (YDP) through its CSR, and the merchants of Bunder traditional market community by participating in the program. The findings showed that the process of market community empowerment through Healthy Market Program has been established successfully in governance perspective. It can be witnessed from the habitual changes of the market community, with in particular, has been heading toward health behaviors such as hygienic awareness and waste management. Keywords : community empowerment, governance, healthy market.
1 E-Learning System Based on Semantic Web Technology

The challenge of the semantic web is the provision of distributed in-formation with well-defined meaning, understandable for different parties. ELearning is efficient task relevant and just-in-time learning grown from the learning requirements of the new dynamically changing, distributed business world. In this paper we design an e-Learning system by using semantic web technology and describe a few scenarios in the e-learning domain and illustrate the role of a few services. We also describe in some detail a service doing semantic (annotations, ontologies and services) of argumentation in student essays for allowing visualization of argumentation and providing useful feedback to students.
Markov Layout

Consider the problem of laying out a set of $n$ images that match a query onto the nodes of a $\sqrt{n}\times\sqrt{n}$ grid. We are given a score for each image, as well as the distribution of patterns by which a user's eye scans the nodes of the grid and we wish to maximize the expected total score of images selected by the user. This is a special case of the \emph{Markov layout} problem, in which we are given a Markov chain $M$ together with a set of objects to be placed at the states of the Markov chain. Each object has a utility to the user if viewed, as well as a stopping probability with which the user ceases to look further at objects. This layout problem is prototypical in a number of applications in web search and advertising, particularly in an emerging genre of search results pages from major engines. In a different class of applications, the states of the Markov chain are web pages at a publishers website and the objects are advertisements. We study the approximability of the Markov layout problem. Our main result is an $O(\log n)$ approximation algorithm for the most general version of the problem. The core idea is to transform an optimization problem over partial permutations into an optimization problem over sets by losing a logarithmic factor in approximation, the latter problem is then shown to be sub modular with two matroid constraints, which admits a constant-factor approximation. In contrast, we also show the problem is APX-hard via a reduction from {\sc Cubic Max-Bisection}. We then study harder variants of greater practical interest of the problem in which no \emph{gaps} -- states of $M$ with no object placed on them -- are allowed. By exploiting the geometry, we obtain an $O(\log^{3/2} n)$ approximation algorithm when the digraph underlying $M$ is a grid and an $O(\log n)$ approximation algorithm when it is a tree. These special cases are especially appropriate for our applications.
Propranolol Prevents Osteoporosis and up-regulates Leptin in Ovariectomized Rats

Osteoporosis is a systemic skeletal disease and there is a close relationship between the sympathetic nervous system (SNS) and bone metabolism. Leptin has been shown to regulate bone formation and bone resorption via the SNS. However, the effect of SNS on leptin signaling has not been clearly understood. In the present study, we studied the effect of propranolol on ovariectomy-induced osteoporosis of rat. The results showed propranolol could increase the bone mass of ovariectomized rat. Propranolol could also up-regulate the level of peripheral leptin and the level of leptin receptor expression in ovariectomized rat hypothalamus. Our results indicate the effect of propranolol on ovariectomy-induced osteoporosis may be exerted, at least partly, through the regulation of leptin signaling and there may be an interaction between the SNS and leptin on the regulation of bone metabolism.
Future challenges of coordinating hundreds of autonomous vehicles in distribution facilities

The Kiva mobile fulfillment system (Kiva MFS) uses a breakthrough new approach to order fulfillment - one that simultaneously improves productivity, speed, accuracy, and flexibility. With the Kiva MFS, operators stand still while the products come to them. Pallets, cases, and orders are stored on inventory pods that are picked up and moved by hundreds of mobile robotic drive units. As a result, any product can go to any operator. The largest installation to date is a 500 robot system for an office supply company in the United States. Videos and other related information may be found at www.kivasystems. com.
Retriveval of soll moisture under vegetation using Polarimetric Scattering Cubes

Soil moisture inversion from polarimetric SAR data has attracted significant attention for the past twenty years. Comparing with the simple case of bare surface, it is extremely complicated for vegetated terrain to invert soil moisture because of a larger number of scattering mechanisms that contributes to the observation. In this paper, we show how polarimetric decomposition technique, which decomposes SAR observations into preferred scattering mechanisms, can be used for the inversion. The result leads us to give up the use of polarimetric decomposition because of an unknown attenuation ratio caused by the canopy. Then a new inversion algorithm using Polarimetric Scattering Cubes (PSC) is introduced with simulation results to show a sensitivity to physical parameter such as vegetation distribution. Finally, we also discuss how the technique should be implemented for the real SAR data.
The bubble bit technique as improvement of HDL-based quantum circuits simulation

When performed on a classical computer, the simulation of quantum circuits is usually an exponential job. The methodology based on Hardware Description Languages is able to isolate the entanglement as source of simulation complexity. However, it was shown that this methodology is not efficient in the presence of total entanglement, and the probability of such a situation grows exponentially with the number of qubits [ M. Udrescu, L. Prodan, M Vladutiu (2004) ]. The bubble bit technique is designed to avoid the entangled representation of the quantum state, thus allowing the HDL structural description of the quantum circuit, which requires polynomial resources for simulation. We provide experimental runtimes, obtained by simulation of quantum arithmetic and Grover's algorithm circuits, which indicate substantial runtime speedup.
Long-term exposure to elevated CO2 enhances plant community stability by suppressing dominant plant species in a mixed-grass prairie

Significance Evaluating ecological responses to climate change is essential to predict ecosystem function under future climate scenarios. In a mixed-grass prairie, we use a multifactor field experiment to show that the effects of elevated CO2 and warming on plant community structure and productivity depend on interannual variation in precipitation. We also show that shifts in plant dominance patterns driven by elevated CO2 in a mixed-grass prairie ecosystem promoted biomass and compositional stability and resistance to interannual variation in precipitation. The economic value of grasslands is largely dependent on the relative abundance of key forage species. Thus, our results have implications for how we manage native grasslands in the face of changing climate. Climate controls vegetation distribution across the globe, and some vegetation types are more vulnerable to climate change, whereas others are more resistant. Because resistance and resilience can influence ecosystem stability and determine how communities and ecosystems respond to climate change, we need to evaluate the potential for resistance as we predict future ecosystem function. In a mixed-grass prairie in the northern Great Plains, we used a large field experiment to test the effects of elevated CO2, warming, and summer irrigation on plant community structure and productivity, linking changes in both to stability in plant community composition and biomass production. We show that the independent effects of CO2 and warming on community composition and productivity depend on interannual variation in precipitation and that the effects of elevated CO2 are not limited to water saving because they differ from those of irrigation. We also show that production in this mixed-grass prairie ecosystem is not only relatively resistant to interannual variation in precipitation, but also rendered more stable under elevated CO2 conditions. This increase in production stability is the result of altered community dominance patterns: Community evenness increases as dominant species decrease in biomass under elevated CO2. In many grasslands that serve as rangelands, the economic value of the ecosystem is largely dependent on plant community composition and the relative abundance of key forage species. Thus, our results have implications for how we manage native grasslands in the face of changing climate.
Question Analysis and Query Expansion in CS-CS IR4QA

This paper describes our work in NTCIR-7 on the subtask of simplified Chinese monolingual information retrieval for question answering (CS-CS IR4QA). Based on the observation that inappropriate key terms and term mismatch often result in depressed precision and impressive recall, we employ a special question analysis method extracting more appropriate key terms and apply the query expansion technique gaining more relevant key terms, to enhance precision and efficiency for retrieval performance.
J un 2 00 0 Pattern formation with a conservation law

Pattern formation in systems with a conserved quantity is considered by studying the appropriate amplitude equations. The conservation law leads to a large-scale neutral mode that must be included in the asymptotic analysis for pattern formation near onset. Near a stationary bifurcation, the usual Ginzburg–Landau equation for the amplitude of the pattern is then coupled to an equation for the large-scale mode. These amplitude equations show that for certain parameters all roll-type solutions are unstable. This new instability differs from the Eckhaus instability in that it is amplitude-driven and is supercritical. Beyond the stability boundary, there exist stable stationary solutions in the form of strongly modulated patterns. The envelope of these modulations is calculated in terms of Jacobi elliptic functions and, away from the onset of modulation, is closely approximated by a sech profile. Numerical simulations indicate that as the modulation becomes more pronounced, the envelope broadens. A number of applications are considered, including convection with fixed-flux boundaries and convection in a magnetic field, resulting in new instabilities for these systems.
Women's Sports Coverage: Online Images of the 2008 Olympic Games

A content analysis of sports photographs from the 2008 Olympic Games on ABC News Online shows greater exposure for sportswomen who stepped outside the boundaries of conventionally appropriate female behaviour to participate in power sports and team sports. Yet, in total, female athletes received far fewer photographs than male athletes. Frequent depictions of them as passive subjects rather than active competitors in their sports echoed the historic and stereotypical treatment of women in sports media. News Online's coverage was heavily tilted towards three types of sports - swimming, athletics and basketball - limiting the opportunity for portrayals of successful female and male athletes in lesser-profile Olympic sports. The findings of this study are also compared with News Online's reporting of two previous consecutive Olympics.
Inferring the Public Agenda from Implicit Query Data

implicit feedback measures are used to evaluate the performance of a particular information retrieval system. This research instead takes a distinctly applied approach to the use of implicit feedback, and extends the inference from aggregate query data to the social and political sciences. Using the three months prior to the 2008 election as a test scenario, the analysis here assesses daily fluctuations in search coverage of candidates and issues as predicted by the amount of news coverage, proximity to election day, and public opinion poll ratings of the candidates. Findings indicate that aggregate shifts in topical search queries may in fact be a useful, inexpensive indicator of political interest.
THE ACTIVE CENTAURS

The Centaurs are recent escapees from the Kuiper Belt that are destined either to meet fiery oblivion in the hot inner regions of the solar system or to be ejected to the interstellar medium by gravitational scattering from the giant planets. Dynamically evolved Centaurs, when captured by Jupiter and close enough to the Sun for near-surface water ice to sublimate, are conventionally labeled as “short-period” (specifically, Jupiter-family) comets. Remarkably, some Centaurs show comet-like activity even when far beyond the orbit of Jupiter, suggesting mass loss driven by a process other than the sublimation of water ice. We observed a sample of 23 Centaurs and found nine to be active, with mass-loss rates measured from several kg s−1 to several tonnes s−1. Considered as a group, we find that the “active Centaurs” in our sample have perihelia smaller than the inactive Centaurs (median 5.9 AU versus 8.7 AU), and smaller than the median perihelion distance computed for all known Centaurs (12.4 AU). This suggests that their activity is thermally driven. We consider several possibilities for the origin of the mass loss from the active Centaurs. Most are too cold for activity at the observed levels to originate via the sublimation of crystalline water ice. Solid carbon monoxide and carbon dioxide have the opposite problem: they are so volatile that they should drive activity in Centaurs at much larger distances than observed. We consider the possibility that activity in the Centaurs is triggered by the conversion of amorphous ice into the crystalline form accompanied by the release of trapped gases, including carbon monoxide. By imposing the condition that crystallization should occur when the crystallization time is shorter than the orbital period we find a qualitative match to the perihelion distribution of the active Centaurs and conclude that the data are consistent with the hypothesis that the Centaurs contain amorphous ice.
Forward/backward spatial smoothing techniques for coherent signal identification

A spatial smoothing scheme is further investigated in the context of coherent signal classification. It is shown that by making use of a set of forward and complex conjugated backward subarrays simultaneously, it is always possible to estimate any K directions of arrival using at most 3K/2 sensor elements. This is achieved by creating a smoothed array output covariance matrix that is structurally identical to a covariance matrix in some noncoherent situation. By incorporating eigenstructure-based techniques on this smoothed covariance matrix, it then becomes possible to correctly identify all directions of arrival irrespective of their correlation. >
Empirical ARMA indoor propagation model for WLAN signals in 2.4GHz

Representing the signal power at a studied environment through a mathematical model is one major challenge of signal propagation study. In this work is proposed an empirical Autoregressive Moving-Average (ARMA) model for signal strength prediction in indoor environments. A Genetic Algorithm (GA) was employed to calibrate the model (finding coefficients), thus, allowing future improvements without major changes to the program source code.
Markets, Competition, and the Economy as a Social System

Editor's Introduction Frederic S. Lee Economy as a Social System: Niklas Luhmann's Contribution and its Significance for Economics Ivan Boldyrev Social Network Analysis and the Sociology of Economics: Filling a Blind Spot with the Idea of Social Embeddedness Dieter Boegenhold Scmoller s Method as a Critique and Alternative to Marginalist Economics: A Comment to Louzek Carlo D'Ippoliti The Economic Deterioration of the Family: Historical Contingencies Preceding the Great Depression Michael Gillespie The Market Concept: A Characterization from Institutional and Post Keynesian Economics Eduardo Fernandez-Huerga Understanding the Socio-Economics Impact of Actually Existing Markets: An Analytical Framework for Empirical Research Lynn Chester Three Makes of Competition in the Marketplace William Redmond Saving Private Business Enterprises: A Heterodox Microeconomic Approach to Market Governance and Market Regulation Tae-Hee Jo Consumer Market Cycles Riders, Industries and Environments in France and the United States, 1865-1914 Thomas C. Burr The End of the Consensus in Macroeconomic Theory? A Methodological Inquiry John McCombie and Maureen Pike
Effects of slow rTMS at the right dorsolateral prefrontal cortex on EEG asymmetry and mood

In a sham-controlled design (n = 12), slow repetitive transcranial magnetic stimulation (rTMS) was applied to the right dorsolateral prefrontal cortex for 20 min, and the subsequent effects on mood and the EEG spectrum were investigated. Analysis revealed a significant left hemisphere increase in EEG theta activity at 25–35 and 55–65 min after stimulation. In addition, participants reported significant decrease in anxiety immediately after stimulation, as well as 35 and 65 min after rTMS. These findings indicate that reductions in anxiety after slow rTMS at the right dorsolateral prefrontal cortex are associated with a contralateral increase in theta activity.
Probabilistic Route Selection Algorithm to Trace DDoS Attack Traffic Source

DoS(Denial of Service) or DDoS(Distributed DoS) attack is a major threaten and the most difficult problem to solve among many attacks. Moreover, it is very difficult to find a real origin of attackers because DoS/DDoS attacker uses spoofed IP addresses. To solve this problem, we propose a probabilistic route selection algorithm to trace the attacker's real origin. This algorithm uses three types of packets such as an alert packet, an agent packet and a reply agent packet. The alert packet is in use to notify to a victim that DDoS attacks occur. The agent packet is in use to find the attacker's real origin and the reply agent packet is in use to notify to a victim that the agent packet is reached the edge router of the attacker. When source-end detector and victim-end detector detect attacks, the victim-end detector sends the alert packet to the victim. The victim received the alert packet generates the agent packet and sends it to a victim's edge router. The attacker's edge router received the agent packet generates the reply agent packet and send it to the victim. The agent packet and the reply agent packet is forwarded refer to probabilistic packet forwarding table by routers. The probabilistic route selection algorithm runs on the distributed routers and probabilistic packet forwarding table is stored and managed by routers. We simulate for the propose of validation this algorithm by using OPNET14.0 in terms of false positive and required number of packets to trace DDoS attack traffic source.
Accurately modeling speculative instruction fetching in trace-driven simulation

Performance evaluation of modern, highly speculative, out-of-order microprocessors and the corresponding production of detailed, valid, accurate results have become serious challenges. A popular evaluation methodology is trace-driven simulation which provides the advantage of a highly portable simulator that is independent of the constraints of the trace generation system. While developing and maintaining a trace-driven simulator is relatively easier than other alternatives, a primary drawback is the inability to accurately simulate speculative instruction fetching and subsequent execution. Fetching from an incorrect path occurs often in a speculative processor, however it is difficult to capture this information in a trace. This paper investigates a scheme to accurately model instruction fetching within a trace-driven framework. This is accomplished by recreating an approximate copy of the object code segment, which we call resurrected code, using a preliminary pass through the trace. We discuss a fast and memory-efficient method for implementing this resurrected code.
Improved SIFT features in image retrieval using

In this paper, based on SIFT feature algorithm, the SIFT feature descriptor is improved, the area of feature points used to construct a new circular region feature descriptor, thus improving the characteristics of the problem of high dimension, but also enhanced features descriptor of their own anti-rotation, and then two images by calculating the feature vector Euclidean distance, the findings were compared in order to achieve image matching, in building the image database to find the minimum distance vector with which to achieve the target image retrieval. Experimental results show that the algorithm not only has the scale, translation, rotation invariance, but also the use of more stable and faster image retrieval.
Comparison of epidermal growth factor receptor mutations between primary and corresponding metastatic tumors in tyrosine kinase inhibitor-naive non-small-cell lung cancer.

BACKGROUND Mutations of the epidermal growth factor receptor (EGFR) gene in non-small-cell lung cancer (NSCLC) patients predict the patients who will respond to EGFR tyrosine kinase inhibitor (TKI) treatment. A recent study has suggested that 33% of NSCLC showed primary tumor/metastasis discordance of EGFR expression by immunohistochemistry analysis. We intended to find out whether the EGFR mutations of primary lung cancers are concordant to that of corresponding metastatic tumors. MATERIALS AND METHODS We analyzed EGFR exons 18-21 from paired primary and metastatic tumors in 67 lung cancer patients who had not received TKI before tissues were sampled. RESULTS Using the direct sequencing method, 9 of 18 (50%) patients with EGFR mutation-positive primary lung tumors had lost the mutations in metastases. For 26 patients who were EGFR mutation positive in the metastatic tumors, 17 (65%) were negative in the primary tumors. We analyzed these paired tissues with discrepant EGFR mutations by the Scorpion Amplified Refractory Mutation System assay. Finally, the discordant rate reached 27% (18 of 67 cases). CONCLUSION EGFR mutations in primary lung tumors do not always reflect the same situation in metastases. Analysis of EGFR mutations in the primary lung tumor would be inadequate for planning the use of TKI for advanced NSCLC.