Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of non-linear growth curves models for native slow-growing Khazak chickens.

Native poultry is a valuable genetic source with high resistance against diseases providing an important subject for breeding programs. The non-linear mathematical modeling of the growth pattern may partly explain the relationship between requirements and body weight to precise feeding that plays a vital role in the animal enterprises. A study was conducted to compare five non-linear models including Gompertz, Richards, Lopez, Logistic, and Von Bertalanffy describing the growth curve of Khazak native chickens. A total of 120 Khazak chickens (male and female) were individually weighed from 0 to 29 weeks under the same condition. The models were fitted on body weight data set and then evaluated by goodness-of-fit criteriaincluding root mean square error (RMSE), Bayesian information criterion (BIC), Akaike information criterion (AIC), and adjusted coefficient of determination (R2Adj). Based on goodness-of-fit criteria, Lopez model was the most suitable one for describing the growth curves in female and male chickens. The effect of sex was significantly important on curve parameters in all models (P< 0.05). The highest and lowest initial weight (W0) parameter was estimated by Logistic and Richards models, respectively, however, the other parameters of the growth curves were higher in Lopez model compared to others. Male chickens had higher values for age (ti), and weight (wi) at inflection point than females. Using an appropriate model to describe the growth curve in native Khazak chickens could increase the accuracy of selection for rapid growth at early stages of age.
T T-deformed 2D quantum eld theories

It was noticed many years ago, in the framework of massless RG ows, that the irrelevant composite operator T T, built with the components of the energy-momentum tensor, enjoys very special properties in 2D quantum eld theories, and can be regarded as a peculiar kind of integrable perturbation. Novel interesting features of this operator have recently emerged from the study of eective string theory models. In this paper we study further properties of this distinguished perturbation. We discuss how it aects
An F-band resistive mixer based on heterostructure field effect transistor technology

A fundamentally pumped millimeter-wave resistive mixer based on an HFET (heterostructure FET) technology operating at F-band (90-140 GHz) is described. Nonlinear simulations have been performed for this mixer based on a specially designed double delta -doped pseudomorphic HFET device developed for this application. A minimum conversion loss of 12 dB at an LO (local oscillator)-power of 9 dBm, including the losses in the waveguide-microstrip transitions, filters, substrates, etc., was obtained in the frequency range of 108-116 GHz. Conversion losses can be decreased by reducing source bonding inductances and improving device parameters. Conversion losses of the device itself were estimated to be 8-9 dB. <<ETX>>
Una mirada a los recreos escolares: El sentir y pensar de los niños y niñas

Researchers of the Institute for Interdisciplinary Studies of Childhood and Adolescence (INEINA) have been interested in studying the current activities developed during recess time in public schools and what children require for this period from the point of view of the child population. This paper is the result from a research conducted on this matter with the participation of a group of children, in order to collect ideas from the participants and provide recommendations on possible strategies to enhance and strenghten recreation time at schools.
Personalized Privacy-Preserving Trajectory Data Publishing

Due to the popularity of mobile internet and location-aware devices, there is an explosion of location and trajectory data of moving objects. A few proposals have been proposed for privacy preserving trajectory data publishing, and most of them assume the attacks with the same adversarial background knowledge. In practice, different users have different privacy requirements. Such non-personalized privacy assumption does not meet the personalized privacy requirements, meanwhile, it looses the chance to achieve better utility by taking advantage of differences of users' privacy requirements. We study the personalized trajectory k-anonymity criterion for trajectory data publication. Specifically, we explore and propose an overall framework which provides privacy preserving services based on users' personal privacy requests, including trajectory clustering, editing and publication. We demonstrate the efficiency and effectiveness of our scheme through experiments on real world dataset.
Perturbation theory for an Anderson quantum dot asymmetrically attached to two superconducting leads

Self-consistent perturbation expansion up to the second order in the interaction strength is used to study a single-level quantum dot with local Coulomb repulsion attached asymmetrically to two generally different superconducting leads. At zero temperature and wide range of other parameters the spin-symmetric version of the expansion yields excellent results for the position of the $0-\pi$ impurity quantum phase transition boundary and Josephson current together with the energy of Andreev bound states in the $0$-phase as confirmed by numerical calculations using the Numerical Renormalisation Group method. We analytically prove that the method is charge-conserving as well as thermodynamically consistent. Explicit formulas for the position of the $0-\pi$ phase boundary are presented for the Hartree-Fock approximation as well as for its variant called Generalized Atomic Limit. It is shown that the Generalized Atomic Limit can be used as a quick estimate for the position of the phase boundary at half-filling in a broad range of parameters. We apply our second order perturbation method to the interpretation of the existing experimental data on the phase boundary with very satisfactory outcome suggesting that the so far employed heavy numerical tools such as Numerical Renormalization Group and/or Quantum Monte Carlo are not necessary in a class of generic situations and can be safely replaced by a perturbative approach.
Accuracy of Mixed-Source Statistics as Affected by Classification Errors

Abstract Publications in official statistics are increasingly based on a combination of sources. Although combining data sources may result in nearly complete coverage of the target population, the outcomes are not error free. Estimating the effect of nonsampling errors on the accuracy of mixed-source statistics is crucial for decision making, but it is not straightforward. Here we simulate the effect of classification errors on the accuracy of turnover-level estimates in car-trade industries. We combine an audit sample, the dynamics in the business register, and expert knowledge to estimate a transition matrix of classification-error probabilities. Bias and variance of the turnover estimates caused by classification errors are estimated by a bootstrap resampling approach. In addition, we study the extent to which manual selective editing at micro level can improve the accuracy. Our analyses reveal which industries do not meet preset quality criteria. Surprisingly, more selective editing can result in less accurate estimates for specific industries, and a fixed allocation of editing effort over industries is more effective than an allocation in proportion with the accuracy and population size of each industry. We discuss how to develop a practical method that can be implemented in production to estimate the accuracy of register-based estimates.
Genetic Programming Bias with Software Performance Analysis

The complexities of modern software systems make their engineering costly and time consuming. This thesis explores and develops techniques to improve software by automating re-design. Source code can be randomly modi ed and subsequently tested for correctness to search for improvements in existing software. By iteratively selecting useful programs for modi cation a randomised search of program variants can be guided toward improved programs. Genetic Programming (GP) is a search algorithm which crucially relies on selection to guide the evolution of programs. Applying GP to software improvement represents a scalability challenge given the number of possible modi cation locations in even the smallest of programs. The problem addressed in this thesis is locating performance improvements within programs. By randomly modifying a location within a program and measuring the change in performance and functionality we determine the probability of nding a performance improvement at that location under further modi cation. Locating performance improvements can be performed during GP as GP relies on mutation. A probabilistic overlay of bias values for modi cation emerges as GP progresses and the software evolves. Measuring di erent aspects of program change can ne-tune the GP algorithm to focus on code which is particularly relevant to the measured aspect. Measuring execution cost reduction can indicate where an improvement is likely to exist and increase the chances of nding an improvement during GP.
Glyph Design for Temporal and Multi-Dimensional Data : Design Considerations and Evaluation

The goal of this thesis is to provide researchers and practitioners with guidance in designing data glyphs for temporal and multi-dimensional data. Therefore, the term ”glyph” in the context of information visualization has to be introduced and defined first, to establish a common understanding of the overall topic and motivate the need for additional support in selecting or creating data glyphs. This definition is the basis for reviewing literature about data glyph experiments, for conducting further controlled user studies, and finally for introducing new data glyph designs. In summary, the computer science contributions in the area of information visualization are threefold. First, literature about quantitative experiments on data glyphs from the past 70 years is systematically reviewed. By sampling and tabulating the literature on data glyph studies, listing their designs, questions, data, and tasks an overview about study goals and results is provided and open research gaps are revealed. Based on this meta analysis of all results a catalog of design considerations is created, which will be further extended throughout this thesis. Second, the previously identified research gaps are used as a motivation for conducting controlled user studies, which are introduced in this thesis. Since variations of star glyphs and radial color encodings have not received much research attention, these designs will be subject to quantitative experiments. Results indicate that, against intuition, the whisker glyph which is hardly used in practice outperforms the alternative star glyph variations. Additionally, further study outcomes suggest that radial glyph layouts making use of the visual variable orientation to separate different dimensions are the best choice for detecting specific points in time. This finding contradicts the ranking of visual variables from Cleveland and McGill where position encodings outperform orientation encodings. Based on these results the set of design considerations collected in the initial survey is extended and summarized to facilitate the guidance in creating and selecting data glyph designs. Third, the design space of data glyphs is enriched with two new metaphoric designs tailored towards specific domains and evaluated with use cases and controlled user studies to show their applicability to real-world scenarios. The clock glyph representation, for example, supports the analyst in detecting specific points in time by arranging the temporal dimensions in a radial fashion. Results from quantitative experiments indicate the usefulness of this metaphoric approach outperforming well-established alternative representations like line glyphs. The leaf glyph technique on the other hand makes use of environmental cues to encode multi-dimensional data controlling main leaf properties like leaf morphology, leaf venation, and leaf boundary. The design is motivated by the human ability to visually discriminate natural shapes like trees in a
Barriers Broken. Production Relations and Agrarian Change in South India

This book studies agrarian change and the factors which have the potential to control and direct the course of such change. Hence it deals with a fundamental issue which has a direct bearing on poverty. Based on a survey of 367 agrarian households in South India, this book systematically compares two major ecotypes in Indian agriculture: rainfed cultivation and irrigated agriculture. The authors link this ecological analysis to class relations, technology, and patterns of agriarian change, especially after the Green Revolution. They then go on to compare land and labour relations, class structures, credit and usurious relations, and agricultural productivity in these two ecotypes.
EXPLORING THE POSSIBILITIES OF PLASTINATION TECHNIQUES AND THEIR APPLICATION TO THE PRESERVATION OF THE ANATOMICAL PREPARATIONS

Following the introduction of plastination there new possibilities for preservation of anatomical preparations in anatomical practice. Internal organs, limbs and parts of the trunk are treated with classical plastination methods S10, but P40 plastination technique is used for the production of brain plates with preserved features of the anatomical structure of the brain. The main qualities of plastination technologies are: long-term preservation and absolute safety of made anatomical preparations for human health. Introduction in medical training in human and veterinary medicine of plastinated anatomical preparations will improve the quality of education in conditions of safety training.
Synthesis Lectures on Information Concepts, Retrieval, and Services

In recent years there has been an increasing demand for research evaluation within universities and other research-based organisations. In parallel, there has been an increasing recognition that traditional citation-based indicators are not able to reflect the societal impacts of research and are slow to appear. This has led to the creation of new indicators for different types of research impact as well as timelier indicators, mainly derived from the Web. These indicators have been called altmetrics, webometrics or just web metrics. This book describes and evaluates a range of web indicators for aspects of societal or scholarly impact, discusses the theory and practice of using and evaluating web indicators for research assessment and outlines practical strategies for obtaining many web indicators. In addition to describing impact indicators for traditional scholarly outputs, such as journal articles and monographs, it also covers indicators for videos, datasets, software and other non-standard scholarly outputs. The book describes strategies to analyse web indicators for individual publications as well as to compare the impacts of groups of publications. The practical part of the book includes descriptions of how to use the free software Webometric Analyst to gather and analyse web data. This book is written for information science undergraduate and Master’s students that are learning about alternative indicators or scientometrics as well as Ph.D. students and other researchers and practitioners using indicators to help assess research impact or to study scholarly communication.
Law of Large Numbers unifying Maxwell-Boltzmann, Bose-Einstein and Zipf-Mandelbort distributions, and related fluctuations

We consider a system composed of a fixed number of particles and having total energy smaller or equal to some prescribed value. The particles are non-interacting, distributed on a fixed number of energy levels. The energy levels are degenerate and degeneracy is a function of the number of particles. Three cases of the degeneration function is considered. It can increase with either the same rate as the number of particles or slower, or faster. We provide explicit points of maximum of entropy for all the cases. Depending on the total energy, the maximum can be in the interior of the system state space or on the boundary. On the boundary it can have further three cases depending on the degeneration function. The main result, Law of Large Numbers yields the most probable system states, which can become either Maxwell-Boltzmann statistics or Bose-Einstein statistics, or Zipf-Mandelbort law. We also find the limiting laws for the fluctuations. These laws are different for various cases of the maximum point of the entropy. They can be mixture of a Normal, Exponential and Discrete distributions. Explicit rate of convergence is provided for all the theorems.
Support subspaces method for synthetic aperture radar automatic target recognition

This article offers a new object recognition approach that gives high quality using synthetic aperture radar images. The approach includes image preprocessing, clustering and recognition stages. At the image preprocessing stage, we compute the mass centre of object images for better image matching. A conjugation index of a recognition vector is used as a distance function at clustering and recognition stages. We suggest a construction of the so-called support subspaces, which provide high recognition quality with a significant dimension reduction. The results of the experiments demonstrate that the proposed method provides higher recognition quality (97.8%) than such methods as support vector machine (95.9%), deep learning based on multilayer auto-encoder (96.6%) and adaptive boosting (96.1%). The proposed method is stable for objects processed from different angles.
Projected Changes in Mean and Extreme Precipitation in Africa under Global Warming. Part I: Southern Africa

AbstractProbable changes in mean and extreme precipitation in East Africa are estimated from general circulation models (GCMs) prepared for the Intergovernmental Panel on Climate Change Fourth Assessment Report (AR4). Bayesian statistics are used to derive the relative weights assigned to each member in the multimodel ensemble. There is substantial evidence in support of a positive shift of the whole rainfall distribution in East Africa during the wet seasons. The models give indications for an increase in mean precipitation rates and intensity of high rainfall events but for less severe droughts. Upward precipitation trends are projected from early this (twenty first) century. As in the observations, a statistically significant link between sea surface temperature gradients in the tropical Indian Ocean and short rains (October–December) in East Africa is simulated in the GCMs. Furthermore, most models project a differential warming of the Indian Ocean during boreal autumn. This is favorable for an increa.
An Innovation Approach for Optimal Resource Allocation in Emergency Management

In metropolitan regions, emergency events with different severity levels usually require multiple resources that have appropriate functionalities, money expenditure, moving velocities, etc. These resources could distribute over an extensive area with different ownerships. Solving the resource allocation problem for such an event involves complicated collaboration of multiple emergency departments under strict time constraints. Traditional resource allocation approaches usually have difficulties to efficiently find out the best resource assignment within the time limits by considering the large number of possibilities, which result in a considerable increase in fatalities. In this paper, a multiagent-based decentralised resource allocation approach using the domain transportation theory is proposed to handle a multi-task emergency event. The proposed approach is designed to effectively select appropriate resources without the global information and to concurrently generate the resource deployment plans for multiple tasks by considering the severity level of an emergency event. In the experiments, the proposed approach is tested along with other related approaches, and the experimental results indicate that the proposed approach can efficiently generate the optimal solution in terms of resource allocation time and money expenditure.
Avaliação da contaminação por matérias estranhas em carne de sol comercializada em “casas do norte”

A carne de sol é um produto artesanal, obtido de técnicas de salga e desidratação, empregado por populações do Norte e Nordeste do Brasil. A falta de emprego de tecnologia mais avançada no processamento e no estabelecimento de padrões oficiais de identidade e de qualidade contribuem na produção, comercialização e distribuição em condições sanitárias insatisfatórias, os quais põem em risco a saúde do consumidor. Com o objetivo de avaliar as condições sanitárias da carne de sol comercializada em “casas do norte”, foi pesquisada a ocorrência de matérias estranhas. Foram analisadas 44 amostras de carne de sol coletadas de 22 “casas do norte” localizadas em Diadema –SP/Brasil. As condições de exposição e de comercialização do produto nas “casas do norte” foram investigadas, as quais serviram de informação complementar na apreciação do grau de segurança alimentar do produto. Em todas as amostras analisadas foram encontradas matérias estranhas, tais como, insetos, fragmentos, larvas, exúvias, ácaros, pelos de roedor, bárbula de ave, fungos filamentosos e, também, objetos pontiagudos e cortantes. Em 11 locais de venda foi verificada a presença de vetores mecânicos. Das amostras analisadas, 90,9% apresentaram condições sanitárias insatisfatórias em função da presença de perigos físicos. Esses achados, associados às condições observadas nas “casas do norte”, indicam que os produtos analisados podem colocar em risco a saúde do consumidor.
The permeability of natural soft clays. Part II: Permeability characteristics: Reply

The permeability characteristics of a number of intact natural soft clays from Quebec, the USA, and Sweden have been investigated in the laboratory. The variation of permeability with void ratio is best represented in terms of a linear e vs. lg k relation which is generally valid in the range of volumetric strains encountered in engineering practice.The permeability at the in-situ void ratio is shown to be a complex function of such parameters as the void ratio, the clay fraction, the plasticity index, and the fabric of the clay. Permeability anisotropy is negligible in marine clays.The e vs. lg k relationships of the various clays tested are well ordered in terms of an empirical parameter (IP + clay fraction), irrespective of the geological origin of the clay. The slope of the e vs. lg k relationship, referred to as permeability change index Ck, is simply related to the initial void ratio by Ck = 0.5eo. Keywords: permeability, clays, laboratory tests, permeability anisotropy, permeability – void ratio re.
Scour of a cohesive soil by submerged plane turbulent wall jets

This paper presents the results of a laboratory study undertaken to examine the effect of hydraulic variables on the scour of a cohesive soil produced by submerged plane turbulent wall jets. The velocity and thickness of the jet were varied in tests with one cohesive soil in part to determine if repeatable scour experiments by these jets could be performed in cohesive material. Measurements were taken of the scour hole profiles at the asymptotic or equilibrium state of scour, including the maximum depth of scour, the location of the maximum scour depth, and the length of the scour hole. Dimensional analysis is used to show that the scour hole dimensions at asymptotic state can be expressed as a function of the velocity at the nozzle, the density of the eroding fluid, the nozzle thickness, and the critical shear stress of the soil. The scour hole profiles are shown to scale with the maximum depth of scour and the distance from the nozzle where the scour is half the maximum scour depth. Observations of the growth of the scour holes are also presented.