Miracle-dz/UniFAR-FTUs huggingface dataset:
Visual attribute discovery and analyses from web-data

SIRION VITTAYAKORN: VISUAL ATTRIBUTE DISCOVERY AND ANALYSES FROM WEB-DATA. (Under the direction of Tamara L. Berg.) Visual attributes are important for describing and understanding an objects appearance. For an object classification or recognition task, an algorithm needs to infer the visual attributes of an object to compare, categorize or recognize the objects. In a zeroshot learning scenario, the algorithm depends on the visual attributes to describe an unknown object since the training samples are not available. Because different object categories usually share some common attributes (e.g., many animals have four legs, a tail and fur), the act of explicitly modeling attributes not only allows previously learnt attributes to be transferred to a novel category but also reduces the number of training samples for the new category which can be important when the number of training samples is limited. Even though larger numbers of visual attributes help the algorithm to better describe an image, they also require a larger set of training data. In the supervised scenario, data collection can be both a costly and time-consuming process. To mitigate the data collection costs, this dissertation exploits the weakly-supervised data from the Web in order to construct computational methodologies for the discovery of visual attributes, as well as an analysis across time and domains. This dissertation first presents an automatic approach to learning hundreds of visual attributes from the open-world vocabulary on the Web using a convolutional neural net-
The Murderer Next Door Why The Mind Is Designed To Kill

Thank you very much for downloading the murderer next door why the mind is designed to kill. Maybe you have knowledge that, people have look hundreds times for their chosen books like this the murderer next door why the mind is designed to kill, but end up in harmful downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they cope with some malicious bugs inside their laptop.
Analysis on Oral History Attitudes of Pre-service Teachers

The present study aimed to investigate pre-service teachers’ attitudes towards oral history methods. The research was conducted at a public university in Turkey’s Mugla province. A total of 322 pre-service teachers constituted the research sample. For this study a fivelevel Likert scale was used to collect the data. Within the overall aim of the study, the collected data was analyzed by using SPSS. The result showed that there was a significant difference among the pre-service teachers studying Social Studies in their attitudes for Oral History studies. In addition, it was concluded that when the time allocated to media tools for Oral History studies increased, the attitude to Oral History studies became more positive. Moreover, a comment was made as when the level of interest in Oral History studies rose, the attitudes to Oral History studies also became more positive. Some suggestions aregiven at the end of the study. © Kamla-Raj 2014 Anthropologist, 18(3): 959-968 (2014)
THE PARALLAX AND MASS OF 70 OPHIUCHI.

Radial velocities measured for both components of 70 Oph during the recent passage of the stars through the nodes of their orbits enable the parallax and mass of the system to be determined independently of absolute astrometric measurements. The absolute parallax derived from radial velocities alone is 0.194 arcmin (+ or - 0.004 arcmin) (if the apparent semiaxis and the period of the orbit are assumed to be given by visual observations). Combining this value with the best astrometric determination yields an absolute parallax of (0.199 arcmin) and individual masses for the stars of 0.81 (+ or - 0.06)solar mass and 0.72 (+ or - 0.09). It is also shown that the new radial-velocity observations agree with the best micrometer measures in providing no evidence for a perturbation in the orbital motion of the brighter star.
Quantification of extremal dependence in spatial natural hazard footprints: independence of windstorm gust speeds and its impact on aggregate losses

Abstract. Natural hazards, such as European windstorms, have widespread effects that result in insured losses at multiple locations throughout a continent. Multivariate extreme-value statistical models for such environmental phenomena must therefore accommodate very high dimensional spatial data, as well as correctly representing dependence in the extremes to ensure accurate estimation of these losses. Ideally one would employ a flexible model, able to characterise all forms of extremal dependence. However, such models are restricted to a few dozen dimensions, hence an a priori diagnostic approach must be used to identify the dominant form of extremal dependence. Here, we present various approaches for exploring the dominant extremal dependence class in very high dimensional spatial hazard fields: tail dependency measures, copula fits, and conceptual loss distributions. These approaches are illustrated by application to a data set of high-dimensional historical European windstorm footprints (6103 spatial maps of 3-day maximum gust speeds at 14 872 locations). We find there is little evidence of asymptotic extremal dependency in windstorm footprints. Furthermore, empirical extremal properties and conceptual losses are shown to be well reproduced using Gaussian copulas but not by extremally dependent models such as Gumbel copulas. It is conjectured that the lack of asymptotic dependence is a generic property of turbulent flows. These results open up the possibility of using geostatistical Gaussian process models for fast simulation of windstorm hazard fields.
Envelope Inversion Analysis for High-Frequency Seismic Energy Radiation from the 2011 M w 9 . 0 Off the Pacific Coast of Tohoku Earthquake by Hisashi Nakahara

I study S-wave energy radiation in higher frequencies of 1–8 Hz from the 2011 Mw 9.0 Off the Pacific Coast of Tohoku, Japan, earthquake (hereafter called the Tohoku-Oki earthquake) based on a seismogram envelope inversion method. I first evaluate two medium parameters of scattering attenuation and intrinsic absorption for S waves using spatial and temporal distributions of seismic energy from aftershock records, which are necessary for calculating Green’s functions. Next, applying the envelope inversion method to 27 near-field strong-motion records from the mainshock, I estimate the S-wave energy radiation from 40 subfaults on the fault of 500 km × 250 km. Each subfault is allowed to rupture for eight consecutive source time windows. Rupture velocity and the duration of energy radiation for each time window are determined by a grid search to be 2:5 km=s and 8.0 s, respectively. Energy radiated from the entire fault is 5:8 × 10 J for 1–2 Hz, 4:5 × 10 J for 2–4 Hz, 1:5 × 10 J for 4–8 Hz, and totaling 1:2 × 10 J in the 1–8 Hz range. Strong energy emanated twice from greater depths of the off-Miyagi region, corresponding to two peaks seen at the northern stations. And energy radiation at greater depths off the Fukushima–Ibaraki border is compatible with a single peak found at the southern stations. Strong high-frequency radiations at greater depths strikingly contrast with large slips at shallower depths estimated in lower frequencies. This frequencydependent rupture may accord with structural changes along the dip direction. Online material: Snapshots of high-frequency energy radiation from the fault plane and results of estimating scattering parameters by the multiple lapse time window analysis in 1–2 and 2–4 Hz.
Numerical simulations of magnetized jets

The present axisymmetric numerical simulations of light hypersonic jets allow unmagnetized jets and jets carrying a dynamically important magnetic field to be contrasted. After decelerating a weakly magnetized jet through a series of weak, oblique shocks, a Mach disk and a strong annular shock are encountered near the outer edges of the contact discontinuity separating the shocked fluid from the shocked ambient gas. Upon passing the annular shock, the gas quickly expands and enters a backflowing cocoon surrounding the jet. The overall speed of advance of the jet is reduced; matter near the jet axis which passes through the terminal Mach disk accumulates in a plug, and gas is discharged into the cocoon by the intermittent shedding of vortices. When magnetic stresses dominate, however, the jet is rapidly decelerated via a Mach disk and strong annular shock. 28 refs.
Proximate and nutrient analysis of selected medicinal plants of Tank and South Waziristan area of Pakistan

Inhabitants of Tank and South Waziristan area of Pakistan are facing acute shortage of medicines and food. The purpose of this study was to evaluate the medicinal plants of the area for their nutrient and medicinal values and to recommend their preservation/propagation for medicinal and/or food purposes. The plants investigated were Alhagi maurorum Medik,Datura alba Ness, Chenopodium album L. Tecomella undulata (Sm.), Withania coagulansDunal, Berberis lycium Royle. Proximate parameters like protein, fat, fiber, carbohydrates, moisture contents, ash, and energy values were obtained using Association of Official Analytical Chemists (AOAC) methods. Macronutrients (Ca, Mg, Na, and K) and micronutrients (Fe, Cu, Zn, Cr, Cd, Pb, and Ni) were analyzed by employing atomic absorption spectrophotometer. The study showed that Datura album has higher nutrient value thanWithania coagulans and there exist a significant correlation among the results. Further, the plants were found to be useful for medicine and food purpose. Key words: Proximate analysis, protein, fiber, macro- and micro-nutrients, medicinal plants, Tank, South Waziristan area.
Health seeking behaviour among post-menopausal women: a knowledge, attitude and practices study

Background: Ageing women suffer problems associated with senility along with that of the reproductive tract changes. Unless the woman is treated as a whole, her problem is actually not addressed. With this background, the present study was undertaken with the following objectives: to identify the major health problems of postmenopausal women, to determine the level of knowledge, attitude and practices of postmenopausal women in terms of seeking Health care facilities for their problems and to determine the utilization pattern and barriers to utilization of health care services by these women. Methods: It was a community based cross-sectional study conducted in the registered field practice areas of the Department of Community Medicine, Jawahar Lal Nehru Medical College and Hospital, Aligarh from June, 2012 to May, 2013. The study tools consisted of pre-tested and semi-structured proforma and standard Menopausal Rating scale (MRS) questionnaire. Results: Psychological symptoms were reported by 34.3%, somatological symptoms by 60.1% and urogenital symptoms by 59.6% of the study population. To deal with these problems, majority in urban areas said that a doctor should be consulted whereas majority in rural areas either said that they did not know what could be done or traditional or home-based measures should be resorted to. Conclusions: A large majority suffered from ill-health. Most rural women had no access to health services. Lack of knowledge and traditional practices were barriers to utilization of services.
Robust Multiuser Detection in Non Gaussian Channels

In wireless system where multiuser detection techniques may be applied, the ambient channel noise is known through experimental measurements to be decidedly non Gaussian This paper consider the problem of adaptive robust detection of direct sequence spread spectrum(DS SS) signal in the presence of unknown correlated SS interference and additive non Gaussian noise Many efforts have been made and most of them have two major problems:the first, explicit a priori knowledge of the underlying noise statistics is generally not available in a realistic scenario; second, computational complexity must be taken into consideration From traditional subspace tracking techniques, we derive a robust method with low computational complexity Analytical and simulation results show that the proposed robust techniques offer significant performance better than the normal subspace tracking methods in impulsive noise
Structures And Procedures Of Implicit Knowledge

structures and procedures of implicit knowledge is available in our digital library an online access to it is set as public so you can download it instantly. Our book servers spans in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Merely said, the structures and procedures of implicit knowledge is universally compatible with any devices to read.
Clustering with Balancing Constraints

In many applications of clustering, solutions that are balanced, i.e, where the clusters obtained are of comparable sizes, are preferred. This chapter describes several approaches to obtaining balanced clustering results that also scale well to large data sets. First, we describe a general scalable framework for obtaining balanced clustering which first clusters only a small subset of the data and then efficiently allocates the rest of the data to these initial clusters while simultaneously refining the clustering. Next, we discuss how frequency sensitive competitive learning can be used for balanced clustering in both batch and on-line scenarios, and illustrate the mechanism with a case study of clustering directional data such as text documents. Finally, we briefly outline balanced clustering based on other methods such as graph partitioning and mixture modeling.
EID Mappings Multicast Across Cooperating Systems for LISP

One of the potential problems with the "map-and-encapsulate" approaches to routing architecture is that there is a significant chance of packets being dropped while a mapping is being retrieved. Some approaches pre-load ingress tunnel routers with at least part of the mapping database. Some approaches try to solve this by providing intermediate "default" routers which have a great deal more knowledge than a typical ingress tunnel router. This document proposes a scheme which does not drop packets yet does not require a great deal of knowledge in any router. However, there are still some issues that need to be worked out.
HIFU is safe, effective, and feasible in pancreatic cancer patients: a monocentric retrospective study among 523 patients

Purpose This study aimed to evaluate the clinical value of high-intensity focused ultrasound (HIFU) combined with gemcitabine (GEM) in treating unresectable pancreatic ductal adenocarcinoma (PDAC). Patients and methods A total of 523 unresectable PDAC patients were recruited from December 30, 2007 to January 30, 2015 at Fudan University Shanghai Cancer Center. Among them, 347 received HIFU combined with GEM (with regional intra-arterial chemotherapy [RIAC] or with systemic chemotherapy) and the remaining patients received GEM only. Postoperative complications were observed, and overall survival was recorded. Results The median overall survival of patients who received HIFU combined with GEM vs GEM alone was 7.4 vs 6.0 months (P=0.002); the 6-month, 10-month, 1-year, and 2-year survival rates for patients in these two groups were 66.3% vs 47.5% (P<0.0001), 31.12% vs 15.9% (P<0.0001), 21.32% vs 13.64% (P=0.033), and 2.89% vs 2.27% (P=0.78), respectively. In the combined therapy group, the most obvious survival benefits were obtained among patients who received HIFU plus RIAC and systemic chemotherapy (used in the intervals between RIAC treatments). There were no severe complications in patients undergoing HIFU treatment. Conclusion We demonstrated the survival benefit of HIFU among PDAC patients treated with GEM. The benefit was most obvious in PDAC patients treated with HIFU plus RIAC and systemic chemotherapy.
Exploring the application of a conceptual framework in a social MALL app

This article presents a prototype social Mobile Assisted Language Learning (henceforth, MALL) app based on Kukulska-Hulme’s (2012) conceptual framework. This research allows the exploration of time, place and activity type as key factors in the design of MALL apps, and is the first step toward a systematic analysis of such a framework in this type of app in the future. Firstly, the selected conceptual framework is discussed, emphasizing the adequacy of its development (or even adaptation) for the systematized design of mobile apps for second language learning. Secondly, the prototype of the Audio News Trainer (ANT) app, which aims at developing oral and written competences in a mixed individual-social modality, is presented in terms of its formal features and its functionality. Finally, some preliminary findings are presented together with suggestions for further development.
Does Vertical Integration Increase Efficiency? A Look at Ethanol Plants in the Center-South of Brazil

Brazil is one of the world’s leading ethanol, sugar and sugarcane producer. Sugarcane is produced by farmers (40%) and ethanol plants (60%). Sugarcane production is limited to a certain radius of the mill to minimize transportation costs and avoid sugarcane quality losses. The distance and harvest timeline limitations aligned with the desire to guarantee sugarcane supply or to create barrier of entry to competing firms make vertical integration, a common practice for mills in Brazil. This study estimates the impact of upstream vertical integration on output-oriented technical efficiency using an output-oriented DEA analysis and a tobit censured model. Inputs considered in the model are the amount of crushed sugarcane and the land used, while the quantities of ethanol and sugar produced are the outputs. The sample consists of 154 mills located in the Center-South area of Brazil. The tobit censured model controlled for the percentage of crushed sugarcane produced on lands owned or rented by mills, the type of mill (i.e. mixed mill or one that produces only sugar or only ethanol), if the mill was in the of Sao Paulo, if it was in the Center-West region and its daily sugarcane crushing capacity. An increase in the percentage of the vertical integration decreases output-oriented technical efficiency by 0.0001 at a 10% level of statistical significance. The continued existence of vertical integration, aligned with the results from this study, implies that mills are adopting this strategy for reasons other than gains in efficiency. Mills may be willing to forgo marginal gains in efficiency, from procuring sugarcane from independent producers, to avoid transaction costs. The Brazilian government may be able to reduce vertical integration by subsidizing sugarcane producers, applying contract enforcement measures and, providing farmers with adequate infrastructure (e.g. paved roads). These measures could increase the number of sugarcane suppliers and eliminate barriers to entry created by mills.
Parasitological and Molecular Prevalence of Bovine Theileria and Babesia Species in the Vicinity of Kayseri

This study was carried out to detect and compare the prevalence of bovine Theileria and Babesia species in the vicinity of Kayseri by microscopic examinations (ME) and reverse line blotting (RLB). A total of 337 cattle usually grazed on pasture in 13 different regions of Kayseri were sampled randomly. Blood samples were collected into tubes containing EDTA from jugular veins. Thin blood smears were prepared from ear capillaries. On microscopic examination of smears, 51 (15.1%) were positive for piroplasms. In the RLB assay, 61 (18.1%) were positive for T. annulata and 3 (0.9%) for T. buffeli/orientalis. Two (0.6%) of the animals were infected with B. bigemina and also had a concurrent infection of T. annulata. No animals were positive for B. bovis or B. divergens. The differences between ME and RLB results were statistically significant (P < 0.05).
The assessment of quality of care in prenatal services in Irbid north Jordan: womens perspectives.

The quality of prenatal care services received by 289 pregnant women at maternal health care centers in Irbid Jordan in 1992 was assessed through home interviews with these women conducted 1 month after delivery and validated through independent observations of the service delivery process. On average study participants made 3.1 prenatal visits. 64% of women reported being satisfied most or all of the time with the care provided. In general women were most dissatisfied with the patient-provider relationship and the extent of information exchange between themselves and care providers. Only 66 women (23%) reported personal communication with health care providers and just 34 (12%) felt providers understood their problems and concerns. Half the women were dissatisfied with the lack of privacy in the clinics. Women were moderately satisfied with the technical competence of providers and highly satisfied with the management of the facility. 9 of the 10 health centers observed had established days for prenatal care. Observation confirmed that waiting rooms were crowded and the transmission of information was not adapted to a womans needs or psychosocial status. Most communication took place with women standing and in the presence of 5 or more persons. In general womens assessment of and satisfaction with the quality of prenatal care they received were validated by observation. Womens participation in the assessment of the care they receive has the potential to contribute to both democratization of the health care delivery system and womens empowerment.
The Maximizing Deviation Method Based on Interval-Valued Pythagorean Fuzzy Weighted Aggregating Operator for Multiple Criteria Group Decision Analysis

As a new extension of Pythagorean fuzzy set (also called Atanassov’s intuitionistic fuzzy set of second type), interval-valued Pythagorean fuzzy set which is parallel to Atanassov’s interval-valued intuitionistic fuzzy set has recently been developed to model imprecise and ambiguous information in practical group decision making problems. The aim of this paper is to put forward a novel decision making method for handling multiple criteria group decision making problems within interval-valued Pythagorean fuzzy environment based on interval-valued Pythagorean fuzzy numbers (IVPFNs). There are three key issues being addressed in this approach. The first is to introduce an interval-valued Pythagorean fuzzy weighted arithmetic averaging (IVPF-WAA) operator to aggregate the decision data in order to get the overall preference values of alternatives. Some desirable properties of the IVPF-WAA operator are also investigated. Based on the idea of the maximizing deviation method, the second is to establish an optimization model for determining the weights of criteria for each expert. The third is to construct a minimizing consistency optimal model to derive the weights of criteria for the group. Finally, an illustrating example is given to verify the proposed approach.