Miracle-dz/UniFAR-FTUs huggingface dataset:
A power-spectral theory of propagation in the mobile-radio environment

The statistical properties of radio propagation between a mobile unit and a base-station terminal are derived. The power spectrum of the transmission coefficient in the multipath medium is used to determine probability distributions of amplitude and phase, correlations of fields versus time and space at mobile and base stations, level-crossing rates and durations of fades, and random frequency modulation. Duality between the power spectrum and density of time delays is shown. The correlations versus frequency and the coherence bandwidth then follow from the density of time delays. The performance of standard diversity systems is then predicted. There is a review of results previously presented by Clarke [1], however, the derivations given herein utilize expressions of the power spectrum rather than expressions of the component waves. The power-spectral approach, used throughout, allows direct application of previous statistical analyses, particularly those of Rice [2].
NONZERO-TEMPERATURE TRANSPORT NEAR QUANTUM CRITICAL POINTS

We describe the nature of charge transport at non-zero temperatures (T ) above the two-dimensional (d) superuid-insulator quantum critical point. We argue that the transport is characterized by inelastic collisions among thermally excited carriers at a rate of order kBT=h. This implies that the transport at frequencies ! kBT=h is in the hydrodynamic, collision-dominated (or ‘incoherent’) regime, while ! kBT=h is the collisionless (or ‘phasecoherent’) regime. The conductivity is argued to be e 2 =h times a non-trivial universal scaling function ofh! =kBT , and not independent of h! =kBT ,a s has been previously claimed, or implicitly assumed. The experimentally measured d.c. conductivity is the hydrodynamic h! =kBT ! 0 limit of this function, and is a universal number times e 2 =h, even though the transport is incoherent. Previous work determined the conductivity by incorrectly assuming it was also equal to the collisionless h! =kBT ! 1limit of the scaling function, which actually describes phase-coherent transport with a conductivity given by a dierent universal number times e 2 =h. We provide the rst computation of the universal d.c. conductivity in a disorder-free boson model, along with explicit crossover functions, using a quantum Boltzmann equation and an expansion in =3 d. The case of spin transport near quantum critical points in antiferromagnets is also discussed. Similar ideas should apply to the transitions in quantum Hall systems and to metal-insulator transitions. We suggest experimental tests of our picture and speculate on a new route to self-duality at two-dimensional quantum critical points.
Reconstruction of symmetric Potts Models

The reconstruction problem on the tree has been studied in numerous contexts including statistical physics, information theory and computational biology. However, rigorous reconstruction thresholds have only been established in a small number of models. We prove the first exact reconstruction threshold in a non-binary model establishing the Kesten-Stigum bound for the 3-state Potts model on regular trees of large degree. We further establish that the Kesten-Stigum bound is not tight for the $q$-state Potts model when $q \geq 5$. Moreover, we determine asymptotics for the reconstruction thresholds.
Data Reduction in Very Large Spatio-Temporal Datasets

Today, huge amounts of data are being collected with spatial and temporal components from sources such as metrological, satellite imagery etc. Efficient visualisation as well as discovery of useful knowledge from these datasets is therefore very challenging and becoming a massive economic need. Data Mining has emerged as the technology to discover hidden knowledge from very large size of data. Furthermore, data mining techniques could be applied to decrease the large size of raw data by retrieving its useful knowledge as representatives. As a consequence, instead of dealing with a large size of raw data, we can use these representatives to visualise or to analyse without losing important information. This paper presents a data reduction technique based on clustering to help analyse very large spatio-temporal data. We also present and discuss preliminary results of this approach.
Hyperspectral image analysis with piece-wise convex endmember estimation and spectral unmixing

A hyperspectral endmember detection and spectral unmixing algorithm that finds multiple sets of endmembers is presented. This algorithm, the Piece-wise Convex Multiple Model Endmember Detection (P-COMMEND) algorithm, models a hyperspectral image using a piece-wise convex representation. By using a piece-wise convex representation, non-convex hyperspectral data are more accurately characterized. For example, the well-known Indian Pines hyperspectral image is used as an example of a piece-wise convex collection of pixels. The convex regions, weights, endmembers and abundances are found using an iterative fuzzy clustering method. Results indicate that the piece-wise convex representation provides endmembers that better represent hyperspectral data sets over methods that use a single convex region.
Application of multivariable sequential patterns mining in teaching effect evaluation

Build the multivariable model for teaching effect evaluation in tutoring system, and discuss the algorithm and application of multivariable sequential patterns mining in tutoring system. The mining results can find the learning habits and advantages of students, and help students to correct learning method and increase learning interest, so that we can realize the intervention and guidance of learning activities through tutoring system.
Oral transfer of chemical cues, growth proteins and hormones in social insects

Social insects frequently engage in oral fluid exchange – trophallaxis – between adults, and between adults and larvae. Although trophallaxis is widely considered a food-sharing mechanism, we hypothesized that endogenous components of this fluid might underlie a novel means of chemical communication between colony members. Through protein and small-molecule mass spectrometry and RNA sequencing, we found that trophallactic fluid in the ant Camponotus floridanus contains a set of specific digestion- and non-digestion related proteins, as well as hydrocarbons, microRNAs, and a key developmental regulator, juvenile hormone. When C. floridanus workers’ food was supplemented with this hormone, the larvae they reared via trophallaxis were twice as likely to complete metamorphosis and became larger workers. Comparison of trophallactic fluid proteins across social insect species revealed that many are regulators of growth, development and behavioral maturation. These results suggest that trophallaxis plays previously unsuspected roles in communication and enables communal control of colony phenotypes.
Probing some theoretical aspects of practitioner-based inquiry research in information systems

Information and Communication Technologies (ICT) practitioners are often located in the social sciences branch of Information Systems (IS). Practitioner research comprises of research that practitioners undertake with a view to the advancement of their practice. A question arises in respect of research conducted by ICT practitioners: does practitioner-based inquiry research have a theoretical base and does practitioner-based inquiry research challenge enlightenment presuppositions based upon an empiricist epistemology? The probing and discussion of this question is the objective of this paper. In this paper, ICT practitioner-based inquiry research in organisations is discussed. Some philosophical underpinnings of practitioner-based inquiry research are probed and a reflection on practitioner-inquiry research is given. It is suggested that actively participating ICT practitioners in the IS research domain are a necessity in the workplace environment but their participation requires that the actual context in which IS practices are conducted, should be analysed. To ensure that such IS research is valid, an epistemological base is needed, for critical reflection and thoughtful action from which to draw.
On A Machine Learning Approach for Identifying Disease-Treatment Relations in Short Texts

The Machine learning used in many application in almost every area. In this electronic world, everything has to be automated to improve quality, time complexity, accuracy, efficiency etc. In the biomedical area, information is mainly in natural language text format. The biomedical researchers need fast information accessing tools for extracting useful information from lager amount of biomedical repositories. This paper provides a survey of machine learning and various natural language text representations method that are used currently. The main purpose of this work is to show what Natural Language Processing (NLP) and Machine Learning (ML) techniques used for representation of information and what classification algorithms are suitable for identifying and classifying relevant biomedical information in short texts. This work focuses on retrieval of updated, accurate and relevant information from Medline datasets using Machine-Learning approach. It is also used to identifying relationship extraction from biomedical text. This will help to understand appropriate feature representation and machine learning technique suitable for the medical domain. Keywords— Healthcare, machine learning, natural language processing, Disease Treatment Extraction, Medline
Multi-view face recognition by nonlinear dimensionality reduction and generalized linear models

In this paper we propose a new general framework for real-time multi-view face recognition in real-world conditions, based on a novel nonlinear dimensionality reduction method IsoScale and generalized linear models (GLMs). Multi-view face sequences of freely moving people are obtained from several stereo cameras installed in an ordinary room, and IsoScale is used to map the faces into a low-dimensional space where the manifold structure of the view-varied faces is preserved, but the face classes are forced to be linearly separable. Then, a GLM-based linear map is learnt between the low-dimensional face representation and the classes, providing posterior probabilities of class membership for the test faces. The benefits of the proposed method are illustrated in a typical HCl application
A comparison of high-power converter topologies for the implementation of FACTS controllers

This paper compares four power converter topologies for the implementation of flexible AC transmission system (FACTS) controllers: three multilevel topologies (multipoint clamped (MPC), chain, and nested cell) and the well-established multipulse topology. In keeping with the need to implement very-high-power inverters, switching frequency is restricted to line frequency. The study addresses device count, DC filter ratings, restrictions on voltage control, active power transfer through the DC link, and balancing of DC-link voltages. Emphasis is placed on capacitor sizing because of its impact on the cost and size of the FACTS controller. A method for the dimensioning the DC capacitor filter is presented. It is found that the chain converter is attractive for the implementation of a static compensator or a static synchronous series compensator. The MPC converter is attractive for the implementation of a unified power flow controller or an interline power flow controller, but a special arrangement is required to overcome the limitations on voltage control.
Complexity and Competition in Appetitive and Aversive Neural Circuits

Decision-making often involves using sensory cues to predict possible rewarding or punishing reinforcement outcomes before selecting a course of action. Recent work has revealed complexity in how the brain learns to predict rewards and punishments. Analysis of neural signaling during and after learning in the amygdala and orbitofrontal cortex, two brain areas that process appetitive and aversive stimuli, reveals a dynamic relationship between appetitive and aversive circuits. Specifically, the relationship between signaling in appetitive and aversive circuits in these areas shifts as a function of learning. Furthermore, although appetitive and aversive circuits may often drive opposite behaviors – approaching or avoiding reinforcement depending upon its valence – these circuits can also drive similar behaviors, such as enhanced arousal or attention; these processes also may influence choice behavior. These data highlight the formidable challenges ahead in dissecting how appetitive and aversive neural circuits interact to produce a complex and nuanced range of behaviors.
Volume Registration Using the 3-D Pseudopolar Fourier Transform

This paper introduces an algorithm for the registration of rotated and translated volumes using the three-dimensional (3-D) pseudopolar Fourier transform, which accurately computes the Fourier transform of the registered volumes on a near-spherical 3-D domain without using interpolation. We propose a three-step procedure. The first step estimates the rotation axis. The second step computes the planar rotation relative to the rotation axis. The third step recovers the translational displacement. The rotation estimation is based on Euler's theorem, which allows one to represent a 3-D rotation as a planar rotation around a 3-D rotation axis. This axis is accurately recovered by the 3-D pseudopolar Fourier transform using radial integrations. The residual planar rotation is computed by an extension of the angular difference function to cylindrical motion. Experimental results show that the algorithm is accurate and robust to noise
At a Crossroads: Will Aquaculture Fulfill the Promise of the Blue Revolution?

There is now little doubt that the world’s fisheries are in crisis. Mounting scientific evidence points to dramatic declines in global catches. Increasingly, many are making the case that farming fish offers a solution to meeting the growing demand for seafood that catching fish cannot provide. Aquaculture now accounts for roughly one-third of the world’s total supply of food fish and undoubtedly the contribution of aquaculture to seafood supplies will increase in the future. Aquaculture has the potential to become a sustainable practice that can supplement capture fisheries and significantly contribute to feeding the world’s growing population. However, instead of helping to ease the crisis in wild fisheries, unsustainable aquaculture development could exacerbate the problems and create new ones, damaging our important and already-stressed coastal areas. The vast majority of aquaculture takes place in Asia. In 2002, over 70% of worldwide aquaculture production was in China alone. Most farmed fish and shellfish are grown in traditional small-scale systems that benefit local communities and minimize the environmental impact. Utilizing simple culture technologies and minimal inputs, these systems have been used for centuries. The net contribution of these traditional aquaculture systems can be great as they offer many benefits, including food security in developing nations. However, as happened with the “green revolution” of agriculture in the last century, the current “blue revolution” of aquaculture is becoming an industrial mode of food production. An emerging trend is toward the increased development of farming high-value carnivorous fish species using environmentally and socially damaging systems. Farming fish on an industrial scale, especially carnivorous fish is rapidly expanding; the number of different species farmed and geographic regions where they are farmed increases continually. Largely controlled by multinational corporations, industrialized farming of carnivorous fish such as salmon requires the intensive use of resources and exports problems to the surrounding environment, often resulting in environmental impacts and social conflicts. Some segments of the aquaculture industry are long overdue for reform. What is required is a paradigm shift in how we think about aquaculture, particularly its interaction with natural and social systems. This new paradigm should be based on sustainable development — “the management and conservation of the natural resource base, and the orientation of technological and institutional change in such a manner to ensure the attainment and continued satisfaction of human needs for present and future generations. Such development conserves land, water, plant and genetic resources, is environmentally non-degrading, technologically appropriate, economically viable and socially acceptable. ” Sustainable aquaculture must consider the ecological, social, and economic aspects of development.
Patterns of placental development evaluated by X chromosome inactivation profiling provide a basis to evaluate the origin of epigenetic variation

BACKGROUND Inactivation of the maternally or paternally derived X chromosome (XCI) initially occurs in a random manner in early development; however as tissues form, a ‘patchiness’ will occur in terms of which X is inactivated if cells positioned near each other are clonally descended from a common precursor. Determining the relationship between skewed XCI in different tissues and in different samples from the same tissue provides a molecular assessment of the developmental history of a particular tissue that can then be used to understand how genetic and epigenetic variation arises in development. METHODS XCI skewing was evaluated in and compared between amnion, chorion, trophoblast and mesenchyme using multiple sampling sites from 14 term placentae. XCI was also evaluated in chorionic villus samples obtained at multiple sites and depths from four additional term placentae. The pattern of variation was then compared with methylation variation associated with the H19/IGF2 imprinting control region (ICR); promoter regions of KISS1, PTPN6, CASP8 and APC; and LINE-1 elements. RESULTS Mean placental level of skewing for amnion and chorion are correlated, consistent with a common developmental origin of at least a component of these membranes from inner cell mass derivatives subsequent to XCI, while trophoblast appears to be derived independently, consistent with its origin from the trophectoderm. Villus samples taken from different depths spanning the fetal to maternal side of the placenta were highly clonally related. Comparing patterns of clonal growth identified through XCI to the distribution of epigenetic variation in other genomic regions suggests that some variation arises early in development (e.g. LINE-1 methylation), whereas other variation arises predominantly after villus tree formation (e.g. methylation at H19/IGF2 ICR). CONCLUSIONS The patterns of XCI skewing are consistent with a model whereby each biopsied site of chorionic villi represents one or a few individual villus trees, each of which is clonally derived from only one or a few precursor cells. Sampling of placentae to evaluate changes associated with clinical pathology should be done with consideration of the tree-to-tree differences. A limitation of this study is the small number of placentas used and therefore placental-specific differences in variation could not be assessed.
Towards Crowd-Assisted Data Mining

Copyright retained by authors. Abstract Mining massive datasets can benefit from human input, but current approaches require making tradeoffs between overburdening end users or under-informing the system – algorithms become more accurate given more training data, but requiring more exemplars takes significant user effort. In this paper, we suggest an approach that engages nonexpert and semi-expert crowds as a supporting “interface layer” between end users and data mining systems. Leveraging human intelligence will allow systems to answer new types of queries (e.g., vague or subjective ones) and generate richer example sets for user-specified patterns.
Does Genetic Programming Work Well on Automated Program Repair?

Automated program repair has made some important progress in the recent decade. One well-known repair tool is GneProg, which automates the patch generation process according to the guidance of genetic programming. Although GenProg has successfully fixed many legacy faulty programs, the guidance effectiveness of genetic programming used by GenProg has not been even justified through the comparison with random search algorithm. In this paper we try to make the guidance effectiveness comparison between genetic programming and random search algorithm on program repair. The experimental results show that genetic programming does not perform better than random search algorithm on guiding the patch generation process.
Real-time navigation in dynamic human environments using optimal reciprocal collision avoidance

In this paper, the navigation strategy that a service robot navigates in dynamic human environments only relying on its own sensors is studied. Because of the limitation of partially-observable first-person perspective, the uncertainties of robot localization and estimation of people's states are increased, which blocks the navigation decision for a service robot. To solve this problem, a local collision avoidance method based on optimal reciprocal collision avoidance (ORCA) is proposed. The states of multiple pedestrians are estimated by combining a variant of particle-PHD filter for multi-target tracking with constant velocity motion model. To reduce the uncertainties, an encircling-particles method is proposed to refine the true states of robot and pedestrians from the probabilistic particle distribution. The effectiveness of the proposed technique is demonstrated through experiments in real environments.
Differential positional neutralization of back vowels in two Majorcan Catalan sub-dialects

The present paper explores the patterns of unstressed vowel reduction affecting the three back vowels of Catalan: /ɔ/, /o/ and /u/. In particular, we examine two reduction patterns found in the Catalan dialect spoken on the island of Majorca: (i) the general Majorcan pattern according to which /ɔ/ and /o/ merge to [o] in unstressed position and /u/ remains different (as [u]), and (ii) a pattern found only in one small village on the island of Majorca, Sóller, according to which /ɔ/, /o/ and /u/ all merge to [u]. Bymeans of an acoustic study, the present paper establishes that the traditional impressionistic descriptions of these subdialects of Catalan with respect to their back vowels are correct and that these processes are thus best described as categorical, phonological (rather than gradient, phonetic) processes.
The Effect of the Directorate Characteristics on Earnings Management Based on Chinese Market Data

As the center of corporate governance, board of directors plays an important role in constraining earnings management. This paper examines the relationship between the composition, ownership and activity of board and earnings management. The empirical results based on 6832 data sample of listed Chinese firms show that the extent of earnings management is negatively related to the proportion of the independent directors, and is positively related to its square and the activity of the board measured by the board meetings frequency. By analysis the quadratic curve determined by independent directors, the optimal proportion is approximately 50%. On the other hand, the board size and board ownership are not significantly related to the earnings management. The findings provide empirical evidence for corporate governance reform and benefit improvement of financial reporting quality.