Miracle-dz/UniFAR-FTUs huggingface dataset:
Development of Empowerment Strategy for Street Food Traders Based on Community in Purwokerto City

There has been a "process of poisoning" between villages and towns. The city poisoned the villages with industrial products that resulted in a decline in the purchasing power of the people due to the exchange rate of agricultural products is not comparable with the results of industry, on the contrary, the village poisoned the city with urbanization and unemployment. The statement contains the truth even though it is not entirely true. It can be seen, many of our citizens with mediocre capital but they can survive in the city. They become street food vendors that are rife in several big cities and middle cities. One of them located the City of Purwokerto. This study aims to find the problems and solutions faced by street food vendors and also find strategies that have been implemented in connection with street food traders as for empowering them. This research found that the problems faced by food vendors are generally four: first, working capital. Many traders claim the reason is they cannot improve their business responsibly is because of their small capital. Second, the problem of work skills. Third, concerns the capacity of their small and fourth-scale business they generally do not have business networking. Besides, there are several strategies that they have developed. One of the things they do most often is to package their products to make savings, such as modifying their products, reducing the quality of the served food. In the latter case, they reluctant if the product to be stated not qualified.
Everything In Its Place: Social Order and Land Use in America

Interviews with bankers, civic leaders, politicians, and architects provide the basis for this searching analysis of the ways in which the physical arrangement of land expresses American ideals, assumptions, and beliefs.Originally published in 1977.The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These paperback editions preserve the original texts of these important books while presenting them in durable paperback editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.
Alcohol screening and brief intervention in a college student health center: a randomized controlled trial.

OBJECTIVE This study tested the effectiveness of brief primary care provider interventions delivered in a college student health center to a sample of college students who screened positive for high-risk drinking. METHOD Between November 2005 and August 2006, 8,753 students who presented as new patients to the health service at a large public university were screened for high-risk drinking, and 2,484 students (28%) screened positive on the 5/4 gender-specific high-risk drinking question (i.e., five or more drinks per occasion for men and four or more for women). Students who screened positive for high-risk drinking and consented to participate (N= 363; 52% female) were randomly assigned either to a control group (n = 182) or to an experimental group (n = 181). Participants in the experimental group received two brief intervention sessions that were founded in motivational interviewing techniques and delivered by four specially trained providers within the student health center. Data on alcohol use and related harms were obtained from a Web-based Healthy Lifestyle Questionnaire, 30-day Timeline Followback alcohol-use diaries, the Rutgers Alcohol Problem Index (RAPI), and eight items from the Drinker Inventory of Consequences-2L. RESULTS Repeated measures analysis showed that, compared with the control group (C), the intervention group (I) had significant reductions in typical estimated blood alcohol concentration (BAC) (C = .071 vs I = .057 at 3 months; C = .073 vs I = .057 at 6 months), peak BAC (C = . 142 vs I = .112 at 3 months; C = .145 vs I = .108 at 6 months), peak number of drinks per sitting (C = 8.03 vs I = 6.87 at 3 months; C = 7.98 vs I = 6.52 at 6 months), average number of drinks per week (C = 9.47 vs I = 7.33 at 3 months; C = 8.90 vs I = 6.16 at 6 months), number of drunk episodes in a typical week (C = 1.24 vs I = 0.85 at 3 months; C = 1.10 vs I = 0.71 at 6 months), number of times taken foolish risks (C = 2.24 vs I = 1.12 at 3 months), and RAPI sum scores (C = 6.55 vs I = 4.96 at 6 months; C = 6.17 vs I = 4.58 at 9 months). CONCLUSIONS Brief interventions delivered by primary care providers in a student health center to high-risk-drinking students may result in significantly decreased alcohol consumption, high-risk drinking, and alcohol-related harms.
A Survey on the Role of Fringe Benefits in Employee Satisfaction – An Analysis of Organizations of Pakistan

This study investigates the relationship between fringe benefits and employee’s job satisfaction. More specifically, following variables were taken as fringe benefits (i) Health Protection Benefits, (ii) Recreation Leaves, and (iii) Flexible Working hours. The primary data is gathered through questionnaire from the sample size of 200 respondents based on non-probability convenience sampling technique. The results were later analyzed through exploratory factor analysis and multiple regression. This study showed positive and significant relationship of Recreation Leaves and Health protection benefits on job satisfaction whereas in case of flexible working hours, the relationship seems to be insignificant. Through results, it may be concluded that if a good number of leaves and a good health Protection plan is provided by the employer, the employees tend to be more satisfied and committed towards their job. Whereas, flexible working hours does not much contribute much towards their level of satisfaction towards job. This study might help employers in Pakistan to add commendable benefits programs to their schedule in order to retain their loyal employees and increase firm’s productivity.
Analysis and detection of cognitive load and frustration in drivers' speech

Non-driving related cognitive load and variations of emotional state may impact a driver’s capability to control a vehicle and introduces driving errors. Availability of reliable cognitive load and emotion detection in drivers would benefit the design of active safety systems and other intelligent in-vehicle interfaces. In this study, speech produced by 68 subjects while driving in urban areas is analyzed. A particular focus is on speech production differences in two secondary cognitive tasks, interactions with a co-driver and calls to automated spoken dialog systems (SDS), and two emotional states during the SDS interactions - neutral/negative. A number of speech parameters are found to vary across the cognitive/emotion classes. Suitability of selected cepstral- and production-based features for automatic cognitive task/emotion classification is investigated. A fusion of GMM/SVM classifiers yields an accuracy of 94.3% in cognitive task and 81.3% in emotion classification.
Review of Inflation Bias, Output Stabilization, and Central Bank Independence by Thomas Jordan

This short book contains four connected essays on the consequences of non linearity inthe Phillips curve (PC), asymmetry in the attitude of policymakers to positive and to negativeoutput gaps, and imperfect control of in ﬂation for the in ﬂation bias, the sacriﬁce ratio and thevariabilitities of inﬂation and of output. Solid understanding of those issues backed by empiricalevidence is highly relevant for the conduct of contemporary monetary policy. Although it doesnot provide empirical evidence the book contains a number of interesting results that shed newlight on some of those issues.Followingthepresentationofeachframeworkthebookconsiders,ineachcase,thedesir-ability of delegating the authority to conduct monetary policy to a (Rogo ﬀ (1985) type) centralbank (CB) that is more conservative than society as represented by government. Chapters 2and 3 feature a PC that is convex to the origin implying that, at lower in ﬂation rates, monetarypolicy has a relatively stronger impact on output than on in ﬂation. Chapters 4 and 5 return tothe conventional linear PC but deviate from the conventional monetary policy game setup bypostulating that policymakers are more averse to negative than to positive output gaps.The ﬁrst essay (chapter 2) considers the consequences of non linearity in the PC for theinﬂation bias and for the extent of stabilization policy under alternative levels of CB conser-
Paper Special Section on Networking Technologies for Overlay Networks a Cooperative Mechanism for Hybrid P2p File-sharing Networks to Enhance Application-level Qos

SUMMARY Overlay networks, such as P2P, Grid, and CDN, have been widely deployed over physical IP networks. Since simultaneous overlay networks compete for network resources, their selfish behaviors to improve their application-oriented QoS disrupt each other. To enhance the collective performance and improve the QoS at the application level, we consider so-called the overlay network symbiosis where overlay networks cooperate with each other. In this paper, we proposed a cooperative mechanism for hybrid P2P file-sharing networks, where peers can find more files and exchange files with more peers. Through simulation experiments, we verified the effectiveness of cooperation from view points of application and system.
Neuro-Wavelet Based Approach for Image Compression

Images have large data quantity. For storage and transmission of images, high efficiency image compression methods are under wide attention. In this paper we propose a neuro- wavelet based model for image compression which combines the advantage of wavelet transform and neural network. Images are decomposed using wavelet filters into a set of sub bands with different resolution corresponding to different frequency bands. Different quantization and coding schemes are used for different sub bands based on their statistical properties. The coefficients in low frequency band are compressed by differential pulse code modulation (DPCM) and the coefficients in higher frequency bands are compressed using neural network. Using this scheme we can achieve satisfactory reconstructed images with large compression ratios.
A new method for human face recognition using texture and depth information

The efficiency of a human face recognition system depends on the capability of face recognition in presence of different changes in the appearance of face. One of the main difficulties regarding the face recognition systems is to recognize face in different views and poses. In this paper we propose a new algorithm which utilizes the combination of texture and depth information to overcome the problem of pose variation and illumination change for face recognition. In the proposed algorithm, we first use intensity image to extract efficient key features and find probable face matches in the face database using feature matching algorithm. We have defined some criteria to find the final match based on texture information or leave the decision to second stage. In the second stage the depth information are normalized and used for pose invariant face recognition. We tested the proposed algorithm using a face database with different poses and illumination and compared the results with those of other methods. We obtained the recognition rate of 88.96 percent which shows the considerable enhancement compared to previous methods.
A Model-driven Approach to Flexible Multi-Level Customization of SaaS Applications

Recently, Software as a Service (SaaS) has become a popular software service mode. Context-awareness and customizability are important and desirable properties for providing the same application for different customers. Most of existing approaches tackle application customization by explicitly specifying some form of variation points where parts of the application remain unspecified or are defaulted and can be customized by each customer to suit its particular needs. This, however, leads to a mismatch between how the architect or developer logically views and interprets differences in a SaaS application family and the actual modeling constructs through which the logical differences must be expressed. Hence, in order to capture the variability in SaaS applications in a more logical and independent way we propose the concept of change fragment and change primitives. A novel approach to effective customization of SaaS at levels of control flow and component framework is proposed and evaluated. Keywords-context-awareness; SaaS; MDD; SaaS customization
Seamless Indoor Outdoor Positioning Using Bayesian Sensor Data Fusion on Mobile and Embedded Devices

As one of the seven “Beyond Tomorrow Projects” the project GeMo (Gemeinschaftlich-E-Mobilität) wants to provide technical solutions for the shared use of electric mobility. The vision behind this project is that in 2050 almost only electric vehicles will be driving within larger European cities and the coordination and sharing of mobility resources will be a major task. Fraunhofer IIS’s contribution to this project is the development of localization services, which run on mobile user devices as well as on embedded hardware platforms inside cars and provide seamless indoor and outdoor positioning by integrating technologies like GNSS, Wi-Fi fingerprinting and dead reckoning based on inertial sensors. The paper describes the theoretical foundations based on Bayesian reasoning and the well-established realization of these ideas in terms of the particle filter, which uses Monte Carlo sampling to estimate probability distributions of the actual state. The probabilistic motion and measurements models are discussed, which serve as inputs to the filtering algorithm. The experimental results are presented together with a description of the setup and equipment. The achieved positioning uncertainty in indoor and outdoor environments with focus on the transition regions is discussed.
International Journal of Women's Health Dovepress Continuation Rates, Bleeding Profile Acceptability, and Satisfaction of Women Using an Oral Contraceptive Pill Containing Estradiol Valerate and Dienogest versus a Progestogen-only Pill after Switching from an Ethinylestradiol-containing Pill in a Re

hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms Background: Oral contraceptives are still associated with high discontinuation rates, despite their efficacy. There is a wide choice of oral contraceptives available, and the aim of this study was to assess continuation rates, bleeding profile acceptability, and the satisfaction of women in the first year of using a contraceptive pill containing estradiol valerate and dienogest (E 2 V/DNG) versus a progestogen-only pill (POP) in a real-life setting after discontinuing an ethinylestradiol-containing pill. Methods and results: In this prospective, noninterventional, observational study, 3,152 patients were included for the efficacy analyses (n=2,558 women in the E 2 V/DNG group and n=592 in the POP group (two patients fulfilled the criteria of the efficacy population, but the used product was not known). Women had been taking an ethinylestradiol-containing pill $3 months before deciding to switch to the E 2 V/DNG pill or a POP. Overall, 19.8% (n=506) of E 2 V/DNG users and 25.8% (n=153) of POP users discontinued their prescribed pill. The median time to discontinuation was 157.0 days and 127.5 days, respectively. Time to discontinuation due to bleeding (P,0.0001) or other reasons (P=0.022) was significantly longer in the E 2 V/DNG group versus the POP group. The E 2 V/DNG pill was also associated with shorter (48.7% vs 44.1%), lighter (54% vs 46.1%), and less painful bleeding (91.1% vs 73.7%) and greater user satisfaction (80.7% vs 64.6%) than POP use, within 3–5 months after switch. Conclusion: The E 2 V/DNG pill was associated with higher rates of continuation, bleeding profile acceptability, and user satisfaction than POP use and may be an alternative option for women who are dissatisfied with their current pill. Introduction Oral contraceptives (OCs) have proved to be a popular method of contraception with . 100 million women estimated to use them worldwide, since their introduction in the 1960s. 1 Despite being one of the most effective forms of contraception and there being an ever-widening choice of OCs to suit the individual needs of women, a high percentage of users discontinue OCs for various reasons, leading to an increased risk Dovepress Dovepress 478 Briggs et al of unintended pregnancy, if not replaced by a comparably effective method. …
Word Segmentation Method Based on Inductive Learning and Segmentation Rule

A word segmentation method based on inductive learning for non-segmented language uses only surface information of a character string; it has an advantage that is entirely not dependent on any specific language. The method extracts recursively a character string that occur frequently in text as word candidates, extracts segmentation rule with context information to deal with segmentation ambiguity. The method classifies those extracted word candidates to different ranking according to extraction situation, segments a text into words with extracted word candidates. Though proofread process erroneous segmentation was corrected, ranking of word candidates and segmentation rules was renewed. Evaluation experiments showed availability of the method for Japanese and Chinese word segmentation.
Signaling Protocols for Distributed Multicast-Based Publish / Subscribe Applications

The publish/subscribe paradigm provides content-oriented data dissemination, where communication channels between content providers and content consumers are set up on the basis of interest matches between content provided by the publishers and content requested by the the subscribers. In this paper, we present a distributed active matchmaker architecture for publish/subscribe paradigm, where “active matchmakers”, consisting of end hosts and interior active routers or application level relay nodes, intercept and perform matches between publication announcements and subscription requests, and trigger establishing content based data forwarding controls. We explore two common signaling approaches, the broadcast subscription approach and the broadcast publication approach, and introduce another link-marking approach of accomplishing the functionality of active matchmakers. We develop a simple and fully distributed active matchmaker signaling protocol (AMSP) that dynamically adapts to applications’ publishing and subscribing behaviors and adjusts link-marking configurations so as to optimize the control overhead of conducting “matchmaking” among publishers and subscribers. We compare the performance of the three signaling approaches using simulations. Our simulation results show that AMSP significantly reduces system control message overhead in comparison to the existing broadcast publication or broadcast subscription approaches under various network and application
Piecewise Bivariate Hermite Interpolations for Large Sets of Scattered Data

The requirements for interpolation of scattered data are high accuracy and high efficiency. In this paper, a piecewise bivariate Hermite interpolant satisfying these requirements is proposed. We firstly construct a triangulation mesh using the given scattered point set. Based on this mesh, the computational point () is divided into two types: interior point and exterior point. The value of Hermite interpolation polynomial on a triangle will be used as the approximate value if point () is an interior point, while the value of a Hermite interpolation function with the form of weighted combination will be used if it is an exterior point. Hermite interpolation needs the first-order derivatives of the interpolated function which is not directly given in scatted data, so this paper also gives the approximate derivative at every scatted point using local radial basis function interpolation. And numerical tests indicate that the proposed piecewise bivariate Hermite interpolations are economic and have good approximation capacity.
A TAXONOMY OF TECHNOLOGY FOR COGNITION — PRODUCT AND PROCESS

AD currently affects nearly a quarter of million (238,000) Canadians; this number is projected to more than double, to nearly 500,000 by 2030 [1]. Caring for Canadians with AD now costs about $5.5B each year. Worldwide incidence is projected to grow from a current level of 18 million to 34 million by 2025. More generally, the incidence of dementia worldwide may grow to 42 million by 2020, according to a report published in the Lancet in December.
The earliest low and high δ18O caldera-forming eruptions of the Yellowstone plume: implications for the 30–40 Ma Oregon calderas and speculations on plume-triggered delaminations

We present new isotopic and trace element data for four eruptive centers in Oregon: Wildcat Mountain (40 Ma), Crooked River (32–28 Ma), Tower Mountain (32 Ma), and Mohawk River (32 Ma). The first three calderas are located too far east to be sourced through renewed subduction of the Farallon slab following accretion of the Yellowstone-produced Siletzia terrane at ~50 Ma. Basalts of the three eastern eruptive centers yield high Nb/Yb and Th/Yb ratios, indicating an enriched sublithospheric mantle source, while Mohawk River yields trace element and isotopic (δ18O and eHf) values that correlate with its location above a subduction zone. The voluminous rhyolitic tuffs and lavas of Crooked River (41 x 27 km) have δ18Ozircon values that include seven low δ18Ozircon units (1.8–4.5 ‰), one high δ18Ozircon unit (7.4–8.8 ‰), and two units with heterogeneous zircons (2.0–9.0 ‰), similar to younger Yellowstone-Snake River Plain rhyolites. In order to produce these low δ18O values, a large heat source, widespread hydrothermal circulation, and repeated remelting are all required. In contrast, Wildcat Mountain and Tower Mountain rocks yield high δ18Ozircon values (6.4–7.9 ‰) and normal to low eHfi values (5.2–12.6), indicating crustal melting of high-δ18O supracrustal rocks. We propose that these calderas were produced by the first appearance of the Yellowstone plume east of the Cascadia subduction zone, which is supported by plate reconstructions that put the Yellowstone plume under Crooked River at 32–28 Ma. Given the eastern location of these calderas along the suture of the accreted Siletzia terrane and North America, we suggest that the Yellowstone hotspot is directly responsible for magmatism at Crooked River, and for plume-assisted delamination of portions of the edge of the Blue Mountains that produced the Tower Mountain magmas, while the older Wildcat Mountain magmas are related to suture zone instabilities that were created following accretion of the Siletzia terrane.
Developing Resilience: A Cognitive-Behavioural Approach

8.6 MB Free download Developing Resilience: A Cognitive-Behavioural Approach book PDF, FB2, EPUB and MOBI. Read online Developing Resilience: A Cognitive-Behavioural Approach which classified as Other that has 208 pages that contain constructive material with lovely reading experience. Reading online Developing Resilience: A Cognitive-Behavioural Approach book will be provide using wonderful book reader and it's might gives you some access to identifying the book content before you download the book.