Miracle-dz/UniFAR-FTUs huggingface dataset:
Research and Design of Capsule-like Robot Wireless Powering System Based on ClassE Inverter

The power supply problem is one of the main problems facing the capsule-like robot technology. There are many issues worthy of further exploration. Such as the transmitter power and efficiency is not high, the performance can be greatly reduced when increase the using frequency, coil position stability problems and many other issues. Aiming at these problems, the paper studies on the method of improving the transmitter power, efficiency and operating frequency. This system chooses the class-E inverter as the transmitter of the inverter, make optimization design and parametric modelling of class-E inverter. This paper analyzed the transmitter circuit characteristics, parameters of actual circuit on the circuit performance. Finally, This paper tested the wireless power supply system. The test results show that, the wireless power supply system has high frequency, high power, high efficiency, and the loop current with the input power supply voltage is in linear relation, the system has good repetition. Keywords-wireless power supply; class-E inverter; capsule-like robot; frequency tracker; positional stability
Dynamic Loading of Trees

The dynamic forces on tree structures during periods of high winds is being studied in order to determine the loads on trees and the responses of the trees to those dynamic loads. Field measurements of dynamic forces on trees, branches, and cables have been conducted on urban trees in an attempt to quantify the magnitude of these forces and to provide a basis for evaluating tree stability. Equipment was constructed to measure the dynamic wind loads on tree trunks and branches in situ. This equipment is described, and results are presented which indicate that tree structure is loaded by highly variable wind gusts and responds by behaving in a complex dynamic manner, which minimizes the energy transfer from the wind to the tree structure. The dynamic response of the tree involves a complex interaction of the natural frequencies of each component of the tree, including the trunk, main branches, sub-branches, and smaller sections. A dynamic model of trees is presented and includes mass damping that minimizes the sway energies and combines with the drag forces of the canopy to help the tree cope with large wind forces. A discussion of windthrow and tree dismantling is presented, based on the information collected from these studies.
Therapeutic strategies for head and neck cancer based on p 53 status ( Review )

Squamous cell carcinomas of the head and neck (HNSCC) are one of the most common types of cancers worldwide, and despite advances in treatment, they still represent a clinical challenge. Inactivation of one or more components in the p53 signaling pathway is an extremely common event in human neoplasia, including HNSCC. The loss of p53 function is responsible for increased aggressiveness in cancers, while tumor chemoresistance and radioresistance can depend on deleted p53 expression, or on the expression of mutated-p53 proteins. Thus, consideration and manipulation of the p53 status during HNSCC cancer therapy should be considered. This review discusses the p53 signaling pathways activated by various cellular stresses, including exposure to cancer therapies. The recognition of the p53 status in cancer cells is a significant factor and could provide valuable assistance during the selection of an effective therapeutic approach.
Multi-scale permeability estimation for a tropical catchment

Physically based and spatially distributed modelling of catchment hydrology involves the estimation of block or whole-hillslope permeabilities. Invariably these estimates are derived by calibration against rainfall-runoff response. Rarely are these estimates rigorously compared with parameter measurements made at the small scale. This study uses a parametrically simple model, TOPMODEL, and an uncertainty framework to derive permeability at the catchment scale. The utility of expert knowledge of the internal catchment dynamics (i.e. extent of saturated area) in constraining parameter uncertainty is demonstrated. Model-derived estimates are then compared with core-based measurements of permeability appropriately up-scaled. The observed differences between the permeability estimates derived by the two methods might be attributed to the role of intermediate scale features (natural soil pipes). An alternative method of determining block permeabilities at the intermediate or hillslope scale is described. This method uses pulse-wave tests and explicitly incorporates the resultant effects of phenomena such as soil piping and kinematic wave migration. The study aims to highlight issues associated with parameterizing or validating distributed models, rather than to provide a definitive solution. The fact that the permeability distribution within the Borneo study catchment is comparatively simple, assists the comparisons. The field data were collected in terrain covered by equatorial rainforest. Combined field measurement and modelling programmes are rare within such environments.
Determinants of export performance in Ethiopia: a VAR model analysis

Despite encouraging improvements in recent decades, Ethiopia’s export performance has typically been portrayed as poor compared with other sub -Saharan African countries. The major objective of this paper is to investigate factors that determine the export performance of the country by using an econometric model for the period 1970/71-2010/11. This study tried to review the export performance; trends and share of different export items and examine the long run and short run determinants of export performance of Ethiopia. The long run and short run estimates are investigated using Johansson co-integration and Vector Error Correction approaches. The data is collected from NBE (2011), EEA statistical data base CD-ROM (2010), and WB and WDI (2011). The findings of the study revealed that in the long run export performance has found to be positively influenced by real effective exchange rate, openness, RGDP of home country, infrastructural development and private credit as a ratio of GDP (financial development). The RGDP of trading partner has found to be statistically insignificant. Hence, the long run elasticities of export performance with respect to real effective exchange rate, openness, RGDP of home country, infrastructural development and private credit as a ratio of GDP (financial development) are 0.7, 0.54, 1.7, 0.3 and 0.44 respectively. In the short run only last year openness has directly involved in enhancing export performance of current year. Maintaining high and sustainable economic growth, improvements in infrastructural facilities and credit access, and maintaining conducive and stable exchange rate policies as well as working to reduce trade restriction mechanism should due emphasis so as to improve Ethiopia’s export performance.
05 52 5 v 2 [ gr-q c ] 2 3 M ay 2 01 8 Metric-affine f ( R , T ) theories of gravity and their applications

E. Barrientos, ∗ Francisco S. N. Lobo, † S. Mendoza, ‡ Gonzalo J. Olmo, 4, § and D. Rubiera-Garcia ¶ Instituto de Astronomı́a, Universidad Nacional Autónoma de México, AP 70-264, Ciudad de México, 04510, México Instituto de Astrof́ısica e Ciências do Espaço, Faculdade de Ciências da Universidade de Lisboa, Edif́ıcio C8, Campo Grande, P-1749-016 Lisbon, Portugal Departamento de F́ısica Teórica and IFIC, Centro Mixto Universidad de Valencia CSIC. Universidad de Valencia, Burjassot-46100, Valencia, Spain Departamento de F́ısica, Universidade Federal da Paráıba, 58051-900 João Pessoa, Paráıba, Brazil (Dated: October 5, 2018)
Regularization and Estimation in Regression with Cluster Variables

Clustering Lasso, a new regularization method for linear regressions is proposed in the paper. The Clustering Lasso can select variable while keeping the correlation structures among variables. In addition, Clustering Lasso encourages selection of clusters of variables, so that variables having the same mechanism of predicting the response variable will be selected together in the regression model. A real microarray data example and simulation studies show that Clustering Lasso outperforms Lasso in terms of prediction performance, particularly when there is collinearity among variables and/or when the number of predictors is larger than the number of observations. The Clustering Lasso paths can be obtained using any established algorithm for Lasso solution. An algorithm is proposed to construct variable correlation structures and to compute Clustering Lasso paths efficiently.
Title Extending Demand Response to Tenants in Cloud Data Centers via Non-intrusive Workload Flexibility Pricing Permalink

Participating in demand response programs is a promising tool for reducing energy costs in data centers by modulating energy consumption. Towards this end, data centers can employ a rich set of resource management knobs, such as workload shifting and dynamic server provisioning. Nonetheless, these knobs may not be readily available in a cloud data center (CDC) that serves cloud tenants/users, because workloads in CDCs are managed by tenants themselves who are typically charged based on a usage-based or flat-rate pricing and often have no incentive to cooperate with the CDC operator for demand response and cost saving. Towards breaking such “split incentive” hurdle, a few recent studies have tried market-based mechanisms, such as dynamic pricing, inside CDCs. However, such mechanisms often rely on complex designs that are hard to implement and difficult to cope with by tenants. To address this limitation, we propose a novel incentive mechanism that is not dynamic, i.e., it keeps pricing for cloud resources unchanged for a long period. While it charges tenants based on a Usagebased Pricing (UP) as used by today’s major cloud operators, it rewards tenants proportionally based on the time length that tenants set as deadlines for completing their workloads. This new mechanism is called Usage-based Pricing with Monetary Reward (UPMR). We demonstrate the effectiveness of UPMR both analytically and empirically. We show that UPMR can reduce the CDC operator’s energy cost by 12.9% while increasing its profit by 4.9%, compared to the state-of-the-art approaches used by today’s CDC operators to charge their tenants. Keywords—Demand response, monetary reward, split incentive, cloud data center, time-shiftable load, demand delaying.
Seabrook Political Context Money and State Legislative Elections : The Conditional Impact of

This study builds on existing literature demonstrating the conditional effects of contextual and conversion factors on the relationship between money and votes in state legislative elections. A conditional theory of the impact of spending in state legislative campaigns is developed, emphasizing that the effectiveness of expenditures should vary according to the number of “up for grabs” voters in a district, candidate quality, and strategic decisions about when to enter a race. Using an original data set of elections to state legislatures in nine states, the analysis provides evidence that the political and institutional context of a race has a significant impact on the effectiveness of campaign spending. Specifically, the percentage of registered independents in a district, the presence or absence of term limits on legislators, and the level of professionalism of a legislature each significantly condition the impact of money.
A network approach to characterize the teammates interactions on football: a single match analysis

*e aim of this case study was to apply a set of network metrics inorder to characterize the teammates’ cooperation in a football team. *esemetrics were applied in three levels of analysis: i) micro (individual analysis);ii) meso (players’ contribution for the team); and iii) macro (global interactionof the team). One-single case study match was observed and fromsuch procedure were analysed 131 attacking plays. Results from the macroanalysis showed a moderate heterogeneity between teammates, thus suggestingthe emergence of clusters within the team. *e players with highestconnections with their teammates were the right defender, central defenderfrom the left side, defensive mid+elder, right mid+elder and the forwardplayer. Finally, in the micro analysis was observed that right defender, centraldefender, right mid+elder and the forward can be considered the centroidplayers during attacking plays, thus being the most prominent in theattacking building. In sum, the network metrics allowed to characterize theteammates’ interaction during the attacking plays, providing an importantand di<erent information that can be useful for the future of match analysis
Merced Proceedings of the Annual Meeting of the Cognitive Science Society Title Cognitive processes of artistic creation : A field study of a traditional Chinese ink painter ’ s drawing process

How are art works created by artists? In this study, we focused on the drawing processes of a Chinese ink painter through a field study and a field experiment. In the field study, we observed processes of fusuma drawing in a temple, and in the field experiment, we asked the painter to draw sixteen pictures (eight drawings in BLANK condition and eight drawings LINES condition). We analyzed those drawing processes and found that: (1) this artist seems to gradually form a global image of the drawing as he draws each part one by one; (2) lines that the audience drew seem to create new constraints for his drawing and force him to create new patterns; and (3) moving his brush in the air before actually drawing lines on the paper seems to serve one of the following functions: Positioning (where to draw), rehearsal (how to draw), and image generation (what to draw).
The Asymptotic Worst-Case Ratio of the Bin Packing Problem by Maximum Occupied Space Technique

The bin packing problem (BPP) is an NP-Complete Problem. The problem can be described as there are N = {1, 2, …, n } which is a set of item indices and L = {s1, s2, …, sn} be a set of item sizes sj, where 0 ＜sj ≤ 1,∀ j ∈ N. The objective is to minimize the number of bins used for packing items in N into a bin such that the total size of items in a bin does not exceed the bin capacity. Assume that the bins have capacity equal to one. In the past, many researchers put on effort to find the heuristic algorithms instead of solving the problem to optimality. Then, the quality of solution may be measured by the asymptotic worst-case ratio or the average-case ratio. The First Fit Decreasing (FFD) is one of the algorithms that its asymptotic worst-case ratio equals to 11/9. Many researchers prove the asymptotic worst-case ratio by using the weighting function and the proof is in a lengthy format. In this study, we found an easier way to prove that the asymptotic worst-case ratio of the First Fit Decreasing (FFD) is not more than 11/9. The proof comes from two ideas which are the occupied space in a bin is more than the size of the item and the occupied space in the optimal solution is less than occupied space in the FFD solution. The occupied space is later called the weighting function. The objective is to determine the maximum occupied space of the heuristics by using integer programming. The maximum value is the key to the asymptotic worst-case ratio.
The impact of the UK national minimum wage on productivity by low-paying sectors and firm-size groups: report to the Low Pay Commission.

Previous research has found little evidence of any impact by the minimum wage on labour or total factor productivity. This report investigated the longitudinal impact on productivity by size of firm. Detailed financial information using the FAME dataset was used to analyse impacts on total factor productivity since the minimum wage’s introduction. In general, it is found that the National Minimum Wage had a significant positive effect on aggregate productivity in low-paying sectors. The strongest effects were in larger firms; small firms showed weaker effects. This may be explained by larger firms greater ability to use monopoly power and also to reorganise their productive processes.
Analytic approximation of the head-tail phase difference from continuous transverse excitation for measuring chromaticity

We will explore a method for measuring chromaticity by continuously kicking the beam transversely. This is called the continuous head-tail method for measuring chromaticity. The complete analytic approximation in terms of trigonometric functions is derived for zero transverse emittance beam. A simple formula for calculating chromaticity from experimental data is also shown. Finally, the theory is compared with experimental data.
Recovery : the Business case

Similarly, the scientific evidence for supporting self-management (challenge 1) is compelling. Other challenges have a strong evidence base indicating that they improve people’s experience of services. The positive experiences of students at Recovery Colleges (challenge 3) and the beneficial impact on experience of more involvement in safety planning (challenge 6) are clear. This paper makes the Business Case for supporting recovery. We believe that this should be informed by three types of data: evaluative research (such as randomised controlled trials); the perceived benefits for service users – what might be termed ‘customer satisfaction’; and best evidence about value for money.
POPULATION DENSITY AND FOOD CONDITIONS DETERMINE ADULT FEMALE BODY SIZE IN BROWN BEARS

Abstract We investigated growth and determinants of adult female body size in brown bears (Ursus arctos) in 2 study areas in Sweden. Scandinavian female brown bears reached 90% of their asymptotic size at 4.1–4.7 years. Four factors were considered in our analysis of the determinants of adult female size: annual food conditions, population density, multilocus heterozygosity, and yearling body size. Our results suggest that individual body size variation of female brown bears is negatively related to density-dependent factors and positively correlated to density-independent fluctuations in the environment. Density-dependent factors may operate by increasing competition for food, resulting in a decrease in body size. Food resources for brown bears in Sweden fluctuate annually in the boreal forest and influence individual body size. Multilocus heterozygosity and yearling body size were not important in explaining adult size, because initially smaller individuals show compensatory growth when experiencing good food conditions.
College Context Effects and Their Infl uence on Media Recall

PSI CHI JOURNAL OF UNDERGRADUATE RESEARCH | SPRING 2009 Copyright 2009 by Psi Chi, The International Honor Society in Psychology (Vol. 14, No. 1/ISSN 1089-4136) When encoding information into memory, people not only process and store the target information, but they also process the information surrounding the target object or event. This additional information can then later help them retrieve the target and can enhance memory across a variety of situations. Among the additional information that is encoded are cues from the context in which the target memory was formed. These context effects enhance retrieval by providing additional retrieval cues for the target memory. Perhaps one of the most striking examples of context effects is the physical context effect. In studies of physical context effects, the actual physical location of participants can infl uence performance. For example, Godden and Baddeley (1975) found compelling evidence for context-dependent memory when looking at divers’ memory performance either underwater or on land. They showed that word lists learned underwater were better recalled underwater than on land, and that words learned on land were better recalled on land than underwater. Similarly, Smith, Glenberg, and Bjork (1987) showed that participants who encoded and recalled a list of paired associates in the same room and setting showed better overall recall than did participants whose encoding and recall context did not match. These results provide evidence that elements of the context become associated with the target memory and can clearly improve memory performance when these elements are available during testing. Physical context, however, is not the only type of context that is stored with the target memory. The semantics of an object or event are also encoded. Semantic context encourages participants to focus on the meaning of a target memory which can then greatly improve memory. For example, Thompson (1972) presented word pairs such as sky blue and told particiJACOB E. SAUSER
V505 Mon -An early-type binary with a disk

New spectra of the eclipsing binary V505 Mon (usually classied as B5 Ib) were obtained in the optical and UV regions. Only spectral lines of one component are visible, with K =9 3 km s 1 . A ccording to arguments based on the extent of the disk the mass ratio might be about 0.30. The star with the visible spectral lines would then have a mass of 2.3, the other component of 7.7 M, i.e. their supergiant nature can be ruled out. The distance to the system appears to be about 1 kpc. Together with published photometric data, the spectroscopy provides clear evidence for the presence of a disk around the secondary component. The proles of the C ii 1335/6 doublet lines are used to derive the rotational velocity of the disk. The structure of the disk can be characterized by a central ionized zone surrounded by neutral outer parts. Additional matter of cloudy nature has to be present, and both components are embedded in an extended atmosphere. Abundance of carbon was found to be very low. Similarity with some other non-eclipsing binaries is discussed.
Investment Promotion and FDI Inflows: Quality Matters

Information asymmetries constitute a significant obstacle to capital flows across international borders, and in particular to flows of foreign direct investment (FDI) to emerging markets. Many governments aim to reduce information barriers by engaging in investment promotion activities. Despite potentially large benefits of FDI and popularity of investment promotion intermediaries (IPIs), relatively little is known about their effectiveness. This study uses data collected through the Global Investment Promotion Benchmarking (GIPB) exercise to examine whether higher quality of IPI services translates into higher FDI inflows. The analysis, based on information on 156 countries, suggests that countries with IPIs able to handle investor inquiries in a more professional manner and IPIs possessing higher quality Web sites tend to attract greater volume of FDI. These results are robust to using sector-level data and instrumental variable approach. (JEL codes: F21, F23, H11) Copyright The Author 2012. Published by Oxford University Press on behalf of Ifo Institute, Munich. All rights reserved. For permissions, please email: journals.permissions@oup.com, Oxford University Press.