Miracle-dz/UniFAR-FTUs huggingface dataset:
2 How Is a Climate Signal Transferred to Lakes ?

Limnologists and water resources managers have traditionally perceived lakes as discrete geographical entities. This has resulted in a tendency for scientific lake studies to concentrate on lakes as individuals, with little connection either to each other or to large-scale driving forces. Since the 1990s, however, a shift in the prevailing paradigm has occurred, with lakes increasingly being seen as responding to regional, rather than local, driving forces (Livings tone, 2008). The seminal work on regional coherence in lake behaviour was that of Magnuson et al. (1990), who showed that many features of lakes within the same region respond coherently to drivers such as climate forcing and catchment processes. From this study it emerged that the degree of coherence among lakes is greatest for those properties most directly affected by climate forcing. Specifically, the physical properties of lakes tend to vary in a more coherent way than their chemical and biological properties (see also Kratz et aI., 1998). Further overviews of the topics of coherence and climate-driven variability, focusing mainly on North American lakes, have been given by Magnuson et al. (2006a,b). In this chapter, we will examine the phenomenon of spatial coherence among time-series of some important physical, chemical and biological lake variables at regional and supra-regional scales in Europe. Here, spatial coherence is defined as the degree of correlation between time-series of measurements made simultaneously at different locations (in contrast to temporal coherence, which is defined as the degree of correlation between time-series of measurements made at one location but at different times). The concept of coherence in this context is not well-defined in a mathematical sense. It can be parameterised in various ways: for instance as the mean coefficient of determination (1'2) calculated between all possible lake pairs, or as the mean coefficient of determination calculated between each lake and the mean time-series of all other lakes (e.g., Livingstone and Dokulil, 2001), or
Multiple-model-based adaptive reconfiguration control of state delayed systems with actuator faults

In this paper, a new direct model reference adaptive control framework based on a multiple model approach is proposed. The main objective is to synthesis a fault tolerant controller which reconfigures the faulty system with state delay. This approach provides stable adaptation for a class of linear systems with state delay in the presence of unknown actuator faults. The proof of stability is based on the Lyapunov-Krasovskii function, while appropriate switching of the multiple models ensures asymptotic tracking for the system outputs, and under the proposed algorithms, the tracking errors of the reconfigured system trend to zero rapidly. Simulation results are presented to illustrate the efficiency of the proposed method.
Research on test cases automatic generation technique based on AADL model

The Architecture Analysis & Design Language (AADL) is a modeling language to describe the architecture of real-time embedded systems. This paper presents a model-driving test case generation method based on AADL model, defines a group of rules mapping AADL elements to abstract test cases, and takes an actual example to illustrate this method. The method can not only improve the automation level of test cases generation, but also increase the productivity of system development.
On modal time correlations of turbulent velocity and scalar fields

We consider Eulerian two-point, two-time correlations of a turbulent velocity field and those of a passive scalar mixed by a turbulent velocity field. Integral expressions are derived for the modal time-correlation functions of the velocity and scalar fields using the stretched-spiral vortex model. These expressions are evaluated using asymptotic methods for high wavenumber and, alternatively, using numerical integration. If the motion of the centres of the vortex structures is neglected, then an inertial time scaling (ek^2)^(−1/3), where e is the energy dissipation rate and k the wavenumber, is found to collapse the velocity and scalar modal time-correlation functions to universal forms. Allowing the centres of the vortex structures to move introduces a sweeping time scale, (uk)^(−1), where u is the rms velocity of the centres of the vortex structures. The sweeping time scale dominates the inertial time scale for sufficiently large wavenumbers. Results are also reported for a direct numerical simulation of passive scalar mixing by a turbulent velocity field at a Taylor Reynolds number of 265. The velocity and scalar modal time-correlation functions were calculated in the simulation. They coincide for large enough wavenumbers and are found to collapse to universal forms when a sweeping time scale is used.
3D video stabilization for humanoid eyes using vision and inertial sensors inspired by human VOR

This paper proposes a new 3D video stabilization for humanoid eyes using vision and inertial sensors. Most existing video stabilization methods based on 2D motion model work well where scenes are far from the camera or can be modeled as a plane. But these 2D video stabilizations may fail to stabilize unstable videos because a humanoid robot operates in the real 3D world. And so far 3D video stabilization approaches cannot be directly applied to humanoid robot eyes because they use an off-line optimization method. In order to solve above problems, we propose 3D video stabilization based on a spatially-varying warping technique that uses sparse reconstructed 3D data. And we integrate the proposed 3D video stabilization into a hardware stabilization device for humanoid eyes inspired by human VOR in order to compensate large and rapid unwanted motions. The experimental results showed that the proposed 3D video stabilization system can be a potential candidate for humanoid eyes.
Power System Stability Enhancement using SVC with Modified PSO Tuned PID Controller

modified particle swarm optimization (MPSO) algorithm is utilized in this paper to find out the optimum design of Proportional-Integral-Derivative (PID) controller parameters that improves the stability of a Single-Machine Infinite-Bus (SMIB) system with Static VAR Compensator (SVC). The performance of the power system under different loading conditions is investigated by using three tuning methods. Namely, Ziegler-Nichols-PID, PSO-PID, and MPSO-PID.The simulation results show that the proposed MPSO-PID controlling technique has improved the system response as compared to the two other techniques, that because it gives minimum rise time and minimum settling time with no overshoot and approximately zero steady-state error. All simulations are carried out in MATLAB R2010a software environment.
An electron microscopic examination of murine plasma cell neoplasms with and without paraproteinemia.

Summary We have examined seven generalized neoplasias which developed in BALB/c mice subsequent to inoculation of subcellular leukemic material from mice with plasma cell leukemias. Based on light microscopic criteria the malignancies were classified as immature plasma cell neoplasms. Four were associated with paraproteinemia of the gamma-globulin G type and 3 had normal electrophoretic patterns. An electron microscopic examination of malignant infiltrates from spleens and peripheral lymph nodes from both groups of animals showed the dominant malignant cell to be a rather primitive mesenchymal cell with some plasmacellular differentiation. Cells from leukemias with paraproteinemia usually exhibited more nucleoli, ergastoplasmic channels, and free ribosomes than cells from leukemias with normal serum electrophoresis. Amyloid fibrils were present both extra- and intracellularly in leukemic infiltrates from both groups of leukemias.
A Symbol-based Bar Code Decoding Algorithm

We investigate the problem of decoding bar codes from a signal measured with a hand-held laser-based scanner. Rather than formulating the inverse problem as one of binary image reconstruction, we instead determine the unknown code from the signal. Our approach has the benefit of incorporating the symbology of the bar code, which reduces the degrees of freedom in the problem. We develop a sparse representation of the UPC bar code and relate it to the measured signal. A greedy algorithm is proposed for for decoding the bar code from the noisy measurements, and we prove that reconstruction through the greedy algorithm is robust both to noise and to unknown parameters in the scanning device. Numerical examples further illustrate the robustness of the method.
Mathematical process of transforming RF signal to position information for tracking ingestible capsules

A detailed analysis of scientific work done in transforming radio frequency (RF) signals for tracking an embedded object with special reference to telemetry capsules in the gastro-intestinal (GI) tract is presented in this paper. We fully discuss the mathematics of the necessary stages for transformation from signal to hexadecimal, decimal, to distance up to the stage where the path trajectory is computed. Experimental validation is accomplished by using RF signals at 433MHz, Analog Devices 8052 based microcontroller with ADC capability and a means of transferring the received signal strength intensity voltage converted to digital, from the microcontroller to the personal computer. The primary focus of this paper is a proven practical way of achieving the above tasks by using basic mathematical and computing principles. Consequently, our algorithm-based tracking results for experiments in a liquid medium yielded an average error of less than 21%. These results were validated with the Bland-Altman plots using semi-automated manual measurements as gold standard.
Colour-Gradient Redundancy for Real-time Spatial Pose Tracking in Autonomous Robot Navigation

Mobile-robot interception or rendezvous with a maneuvering target requires the target’s pose to be tracked. This paper presents a novel 6 degree-of-freedom pose tracking algorithm. This algorithm incorporates an initial-pose estimation scheme to initiate tracking, operates in real-time, and, is robust to large motions. Initial-pose estimation is performed using the on-screen position and size of the target to extract 3D position, and, Principal Component Analysis (PCA) to extract orientation. Real-time operation is achieved by using GPU-based filters and a novel data-reduction algorithm. This data reduction algorithm exploits an important property of colour images, namely, that the gradients of all colour channels are generally aligned. A processing rate of approximately 60 to 85 fps was obtained. Multi-scale optical-flow has been adapted for use in the tracker, to increase robustness to larger motions.
Non-linear transport through a molecular nanojunction

We present a simple model of electrical transport through a metal-molecule-metal nanojunction that includes charging effects as well as aspects of the electronic structure of the molecule. The interplay of a large charging energy and an asymmetry of the metal-molecule coupling can lead to various effects in non-linear electrical transport. In particular, strong negative differential conductance is observed under certain conditions.
Two's a crowd: improving speaker diarization by automatically identifying and excluding overlapped speech

We present an update to our initial work [1] on overlapped speech detection for improving speaker diarization. Specifically, we describe the addition of new features and feature warping techniques that improve segmenter and, consequently, diarization performance. We also demonstrate improved diarization performance by additionally using overlap segment information in a new diarization pre-processing step which excludes overlap segments from speaker clustering. On a subset of the AMI Meeting Corpus we show that this overlap exclusion step nearly triples the relative improvement of diarization error rate as compared to overlap segment post-processing alone. Index Terms: speaker diarization, overlap detection
Motion planning algorithm for heterogeneous combinatorial robots

Some properties and an algorithm of motion planning problem of heterogeneous combinatorial point robots are presented. Heterogeneous combinatorial point robots can be combined and separated freely during moving. It is proven that the problem in a static discrete environment is compliant to the principle of optimality. Dynamic programming algorithms are used to solve this problem. The superposition property of the problem is presented. The n time complexity of this problem is O(|qV|2kSigmai=1 nCi n). The motion planning problem of homogeneous combinatorial point robots is a special case of that of heterogeneous ones. A probabilistic roadmap method is used in the experiments and it finds feasible motion plans efficiently.
A Hierarchical Fuzzy Integration of Local and Global Feature-based Classifiers to Recognize Objects in Autonomous Vehicles

Sensing is a paramount task for autonomous vehicles. In this field, machine vision is usually applied owing to its high dense information per sensing area. This characteristic contributes for the development of classification algorithms that extract information of objects in images. Although individual classifiers have been increasingly enhanced lately, effective integration of classification characteristics from different classifiers is still in a recent stage of investigation. To contribute for early step of classification fusion, we propose a method to combine the decisions of a local and a global feature-based classifiers. The main goal is to use a Label Set Reduction strategy based on a Hierarchical Fuzzy Integration system to make a decision about the results of the classification labels. The proposed architecture has been applied to recognize pedestrians and cars in outdoor environments, but it is easily expansible to include other types of classifiers and object classes. Promising results, in the final classifier, have been achieved.
Exome sequencing results in successful diagnosis and treatment of a severe congenital anemia

Whole-exome sequencing is increasingly used for diagnosis and identification of appropriate therapies in patients. Here, we present the case of a 3-yr-old male with a lifelong and severe transfusion-dependent anemia of unclear etiology, despite an extensive clinical workup. Given the difficulty of making the diagnosis and the potential side effects from performing interventions in patients with a congenital anemia of unknown etiology, we opted to perform whole-exome sequencing on the patient and his parents. This resulted in the identification of homozygous loss-of-function mutations in the EPB41 gene, encoding erythrocyte protein band 4.1, which therefore causes a rare and severe form of hereditary elliptocytosis in the patient. Based on prior clinical experience in similar patients, a surgical splenectomy was performed that resulted in subsequent transfusion independence in the patient. This case illustrates how whole-exome sequencing can lead to accurate diagnoses (and exclusion of diagnoses where interventions, such as splenectomy, would be contraindicated), thereby resulting in appropriate and successful therapeutic intervention—a major goal of precision medicine.
Unveiling and Taming Liabilities of Aspect Libraries Reuse

Aspect Libraries have introduced new possibilities of application composition, facilitating the reuse of crosscutting functionalities. However, if on the one hand this facilitates the independent development of reusable aspects, on the other hand it can bring additional complexity to software reuse, especially, in exception-aware systems. In this work, we present a set of potential fault scenarios associated with aspect libraries reuse. We show that the reuse of aspect libraries is indeed fault prone in exceptional conditions and present a principled reuse approach supported by a static analysis tool that leads to significant improvements.
Opinion mining for Thai restaurant reviews using neural networks and mRMR feature selection

Currently, Thai restaurants are popular around the world. There are tons of reviews related to foods and services in social networking websites. These tons of customer reviews make it difficult to analyze the opinions of customer toward foods and services. To help the businesses, the model of opinion mining is proposed for classifying the reviews and to analyze the attitude of customers for improving their products and services. In this research, the artificial neural network is applied to classify the positive and negative reviews. In addition, the mRMR feature selection is used to select the features of data in order to reduce the number of features in the data set. Consequently, the computational times of learning algorithms for neural networks are reduced. The experimental results show that the neural network is an effective model for classifying the Thai restaurant reviews.
Neurodynamics inside therapeutic interaction: a case study with simultaneous EEG recording / La neurodinámica en el contexto de la interacción terapéutica: un estudio de caso con una grabación simultánea de EEG

Abstract Recent research on processes of psychotherapy has focused on the study of patient-therapist regulation. Evidence concerning verbal and nonverbal coordination as predictors of therapeutic alliance and outcome in psychotherapy has been cumulating. These, along with others results in the field of social neuroscience, suggest that behavioural coordination may have neurophysiological correlates, which play a role in the regulatory process in psychotherapy. Here we introduce an observational paradigm and analytic method to assess the joint neurodynamic activity of patient and therapist. Additionally we report results from ongoing psychotherapy sessions. Our work highlights the involvement of brain activity in the psychotherapeutic process and provides novel insights on how psychotherapy works, in order to further the understanding of the embodied characteristic of the therapeutic interaction.
Momentum switches

Certain continuous-time quantum walks can be viewed as scattering processes. These processes can perform quantum computations, but it is challenging to design graphs with desired scattering behavior. In this paper, we study and construct momentum switches, graphs that route particles depending on their momenta. We also give an example where there is no exact momentum switch, although we construct an arbitrarily good approximation.
Statistical efficiency study of blind identification/equalization of two-path channels with the constant-modulus-criterion

The statistical efficiency of a batch-processing constant-modulus blind equalizer for estimating a) the complex-valued tap weight within a two-path channel model and b) the equalized signal is investigated. Expanding the constant-modulus cost-function in a multidimensional Taylor series up to third order we derive closed-form expressions for the first-order bias and variance of the path weight and the equalized symbols as a function of the variance of the Gaussian distributed noise, the block length, and the actual channel parameters. We study random as well as deterministic symbol sequences. In the first case we compute the average of the bias and variance over zero-mean random (real-valued) signals of binary pulse amplitude modulation (PAM), and (complex-valued) signals of phase shift keying (PSK) modulation. We compare our analytical results with Monte-Carlo simulations and find good agreement for small to medium noise variance.
THE CLASSIFICATION OF BAD CUSTOMERS BASED ON ACTION AND CHARACTER SPECIFIC

The target of the study is to determine which sub-components are used to account for character-based and behavior-based factors, which are the two main primary deviant consumer behavior types in Turkey. In Literature, researches aiming at identifying the general structure of consumer deviance have been conducted. However, there is not a study which has attempted to develop a pilot conceptual-based scale and a classification for the main groups. As a result of the confirmatory factor analysis, it was depicted that the 10-items revised fourfactor model for character-based consumer deviance behavior has strong construct validity. As for the actionbased four-factor model, the unrevised version was seen to be more reliable.
The olfactory thalamus: unanswered questions about the role of the mediodorsal thalamic nucleus in olfaction

The mediodorsal thalamic nucleus (MDT) is a higher order thalamic nucleus and its role in cognition is increasingly well established. Interestingly, components of the MDT also have a somewhat unique sensory function as they link primary olfactory cortex to orbitofrontal associative cortex. In fact, anatomical evidence firmly demonstrates that the MDT receives direct input from primary olfactory areas including the piriform cortex and has dense reciprocal connections with the orbitofrontal cortex. The functions of this olfactory pathway have been poorly explored but lesion, imaging, and electrophysiological studies suggest that these connections may be involved in olfactory processing including odor perception, discrimination, learning, and attention. However, many important questions regarding the MDT and olfaction remain unanswered. Our goal here is not only to briefly review the existing literature but also to highlight some of the remaining questions that need to be answered to better define the role(s) of the MDT in olfactory processing.
Portraits of Teachers: The Professional and Personal Characteristics of Twelve Primary Teachers.

The purpose o f this study was to determine the personal and professional characteristics o f six teachers who reported high developmentally appropriate beliefs and practices and six teachers who reported low developmentally appropriate beliefs and practices. The sample was identified using teachers’ scores on a self-reported survey measure o f developmentally appropriate practice based on the 1987 guidelines by NAEYC. Qualitative data were collected through interviews with open-ended questions. By providing an in-depth description as a literary portrait o f each teacher, this study provides insight into the beliefs and practical knowledge that inform the teaching practices o f 12 primary grade teachers. A cross-case analysis within each group revealed common themes o f teacher autonomy, teacher efficacy, and teaching strategies. Personal and professional characteristics are differentiated between the groups and are considered to influence teacher beliefs and practice. Reproduced with permission of the copyright owner. Further reproduction prohibited without permission. CHAPTER
Optimum Receiver Design for OFDM-Based Broadband Transmission — Part II : A Case Study

This paper details on the design of OFDM receivers. Special attention is paid to the OFDM-specific receiver functions necessary to demodulate the received signal and deliver soft information to the outer receiver for decoding. In Part I of the paper, the effects of nonideal transmission conditions have been thoroughly analyzed. To show the impact of the synchronization algorithms—which are most critical in OFDM—on system performance and complexity we consider the design of acomplete receiver consisting of symbol synchronization, carrier/sampling clock synchronization and channel estimation. The performance of the algorithms is analyzed and a qualitative estimate of the resulting complexity is given. This allows to draw conclusions concerning the achievable system performance under realistic complexity assumptions.