Miracle-dz/UniFAR-FTUs huggingface dataset:
A new accurate approximation for the Gaussian process classification problem

Gaussian processes is a very promising novel technology that has been applied for both the regression problem and the classification problem. While for the regression problem it yields simple exact solutions, this is not the case for the classification case. The reason is that we encounter intractable integrals. In this paper we propose a new approximate solution for the Gaussian process classification problem. The approximating formula is based on certain transformations of the variables and manipulations that lead to orthant multivariate Gaussian integrals. An approximation is then applied that leads to a very simple formula. In spite of its simplicity, the formula gives better results in terms of classification accuracy and speed compared to some of the well-known competing methods.
Biochemical Changes in Endothelial Cell Monolayers Induced by Fibrin Deposition In Vitro

Endothelial cells In vivo come Into contact with fibrin during numerous physiological and pathological processes, but the nature of this Interaction Is poorly understood. The Interaction of fibrin and endothelial cells was examined by Incubating bovine aortic endothelial cell monolayers in vitro with flbrlnogen (100 μg/ml) In medium supplemented with 10% calf serum. This treatment produced a layer of fibrin above the endothelial cell monolayer, which Induced disorganization of the monolayer and remained associated with the monolayer even after washing. Endothelial cell pinocytosis of 14C-sucrose was elevated by 25% and 60% after Incubation with fibrin for 8 hours and 2 days, respectively. Fibrin deposition on endothelial cell monolayers Increased the rate of DNA synthesis (3H-thymldine Incorporation) for 1 to 3 days by as much as 60% over controls. Concomitant with the lysis of fibrin above endothelial cells and the reorganization of the monolayer at Days 4 or 5 was a reduction of endothelial cell pinocytosis and DNA synthesis to control values. In contrast, there was no effect on the cell density at any time after Incubation with fibrin. These results Indicate that fibrin Interacts with endothelial cells and induces a disorganization of the monolayer that Is accompanied by changes In the rate of pinocytosis and In the rate of DNA synthesis.
On tracing flicker sources and classification of voltage disturbances

Developments in measurement technology, communication and data storage have resulted in measurement systems that produce large amount of data. Together with the long existing need for characterizing the performance of the power system this has ressaulted in demand for automatic and efficient information-extraction methods. The objective of the research work presented in this thesis was therefore to develop new robust methods that extract additional information from voltage and current measurements in power systems. This work has contributed to two specific areas of interest. The first part of the work has been the development of a measurement method that gives information how voltage flicker propagates (with respect to a monitoring point) and how to trace a flicker source. As part of this work the quantity of flicker power has been defined and integrated in a perceptionally relevant measurement method. The method has been validated by theoretical analysis, by simulations, and by two field tests (at low-voltage and at 130-kV level) with results that matched the theory. The conclusion of this part of the work is that flicker power can be used for efficient tracing of a flicker source and to determine how flicker propagates. The second part of the work has been the development of a voltage disturbance classification system based on the statistical learning theory-based Support Vector Machine method. The classification system shows always high classification accuracy when training data and test data originate from the same source. High classification accuracy is also obtained when training data originate from one power network and test data from another. The classification system shows, however, lower performance when training data is synthetic and test data originate from real power networks. It was concluded that it is possible to develop a classification system based on the Support Vector Machine method with “global settings” that can be used at any location without the need to retrain. The conclusion is that the proposed classification system works well and shows sufficiently high classification accuracy when trained on data that originate from real disturbances. However, more research activities are needed in order to generate synthetic data that have statistical characteristics close enough to real disturbances to replace actual recordings as training data.
A Systematic Approach to Multiple Breath Nitrogen Washout Test Quality

Background Accurate estimates of multiple breath washout (MBW) outcomes require correct operation of the device, appropriate distraction of the subject to ensure they breathe in a manner representative of their relaxed tidal breathing pattern, and appropriate interpretation of the acquired data. Based on available recommendations for an acceptable MBW test, we aimed to develop a protocol to systematically evaluate MBW measurements based on these criteria. Methods 50 MBW test occasions were systematically reviewed for technical elements and whether the breathing pattern was representative of relaxed tidal breathing by an experienced MBW operator. The impact of qualitative and quantitative criteria on inter-observer agreement was assessed across eight MBW operators (n = 20 test occasions, compared using a Kappa statistic). Results Using qualitative criteria, 46/168 trials were rejected: 16.6% were technically unacceptable and 10.7% were excluded due to inappropriate breathing pattern. Reviewer agreement was good using qualitative criteria and further improved with quantitative criteria from (κ = 0.53–0.83%) to (κ 0.73–0.97%), but at the cost of exclusion of further test occasions in this retrospective data analysis. Conclusions The application of the systematic review improved inter-observer agreement but did not affect reported MBW outcomes.
Evaluating satellite-derived bathymetry accuracy from Sentinel-2A high-resolution multispectral imageries for shallow water hydrographic mapping

The wide-ranging evolution of remote sensing technology has offered a promising application to the hydrographic surveying, the Satellite-Derived Bathymetry (SDB). SDB is a contemporary acquisition technique which derives bathymetric data from multispectral satellite imagery for various hydrographic purposes. The introduction and availability of the chargeless Sentinel-2A multispectral satellite data in the region, has inspired the National Hydrographic Centre (NHC) and Universiti Teknologi Malaysia (UTM) to collaborate in assessing the level of accuracy provided by Sentinel-2A imageries as a data sources for shallow water hydrographic mapping. The assessment is concentrating on both empirical algorithm methods, Lyzenga and Stumpf models in two different seabed topology conditions. Both Lyzenga and Stumpf model produced almost identical results for the area with normal gradient seabed. Conversely, for the rough and irregular seabed surface, results from Lyzenga model was much better compared to Stumpf’s. Lyzenga model has delivered better results where a total of 166,747 (36.23%) of depths samples achieved the IHO minimum survey order standard compared to 103,418 (22.47%) by Stumpf model. Thus, this paper would deliberate the detail findings from the study primarily on the accuracy level of the Sentinel-2A data for SDB hydrographic mapping application over the tropical environmental setting in Malaysia
Signal Probability Based Statistical Timing Analysis

VLSI timing analysis and power estimation target the same circuit switching activity. Power estimation techniques are categorized as (1) static, (2) statistical, and (3) simulation and testing based methods. Similarly, statistical timing analysis methods are in three counterpart categories: (I) statistical static timing analysis, (2) probabilistic technique based statistical timing analysis, and (3) Monte Carlo (SPICE) simulation and testing. Leveraging with existing power estimation techniques, I propose signal probability (i.e., the logic one occurrence probability on a net) based statistical timing analysis, for improved accuracy and reduced pessimism over the existing statistical static timing analysis methods, and improved efficiency over Monte Carlo (SPICE) simulation. Experimental results on ISCAS benchmark circuits show that SPSTA computes the means (standard deviations) of the maximum signal arrival times within 5.6% (7.7%), SSTA within 16.5% (46.9%), and STA within 83.0% (132.4%) in average of Monte Carlo simulation results, respectively. More significant accuracy improvements are expected in the presence of increased process and environmental variations.
A First Step towards Understanding Saudi Political Activities on Twitter

Purpose – This study aims to understand the underlying social structure of Saudi citizens' interaction and discussion of political topics over the Twitter sphere.Design/methodology/approach – The study employs social network analysis (SNA) measurements such as centrality, eigenvector and graph density on tweets produced in June 2012 by the Saudi community.Findings – The result of SNA reveals relevant differences in the patterns of interconnection among different political topics. It also provides insights into sociological characteristics of modern political issues in Saudi Arabia.Research limitations/implications – The limitation of this study resides in the lack of large data set for robust analysis.Originality/value – This is the first study aiming to understand social network dynamics of Twitter targeting the Saudi community.
The impact of mimicry behavior on guilt

Guilt, on the one hand, can be unpleasant and exhausting. On the other hand, it can also motivate individuals to, for example, make amends and repair broken social relationships. To understand this dual nature of guilt, this research turns to the concept of mimicry. Mimicry is defined as the unconscious imitation of behaviors and is widely recognized as a 'social glue' that plays a crucial role in forming and maintaining social relationships. A key question is whether mimicry could serve as an appliance for the sake of guilt release. A series of six studies (N = 414) reveals the opposite pattern: participants who were mimicked (compared to non-mimicked) felt more guilty. This outcome suggests that while mimicry generally fosters social connections, its interplay with emotions like guilt can be complex.
Extracting question/answer pairs in multi-party meetings

Understanding multi-party meetings involves tasks such as dialog act segmentation and tagging, action item extraction, and summarization. In this paper we introduce a new task for multi-party meetings: extracting question/answer pairs. This is a practical application for further processing such as summarization. We propose a method based on discriminative classification of individual sentences as questions and answers via lexical, speaker, and dialog act tag information, followed by a contextual optimization via Markov models. Our results indicate that it is possible to outperform a non-trivial baseline using dialog act tag information. More specifically, our method achieves a 13% relative improvement over the baseline for the task of detecting answers in meetings.
Perceptual speech quality improvement for vocoder based on amplitude spectrum of residual signal

In this paper, we propose a linear pre- and post-filter for improving the perceptual speech quality of a vocoder based on amplitude spectrum of residual signal. The goal of the pre-filter in analyzer is to make the noise of spectrum inaudible. It attempts to hide the noise under the signal spectrum by exploiting human auditory masking. The post-filter in synthesizer is to improve speech quality. Experimental results show that the proposed vocoder can obtain an average mean opinion score (MOS) of 4.5 for four voices (2 female and 2 male voices) while preserving high-quality property after parameter compression.
A Four-Sweep LBFS Recognition Algorithm for Interval Graphs

In their 2009 paper, Corneil et al. design a linear time interval graph recognition algorithm based on six sweeps of Lexicographic Breadth-First Search (LBFS) and prove its correctness. They believe that their corresponding 5-sweep LBFS interval graph recognition algorithm is also correct. Thanks to the LBFS structure theory established mainly by Corneil et al., we are able to present a 4-sweep LBFS algorithm which determines whether or not the input graph is a unit interval graph or an interval graph. Like the algorithm of Corneil et al., our algorithm does not involve any complicated data structure and can be executed in linear time.
Buffalo Byte: A Highly Mobile and Autonomous Millirobot Platform

The Buffalo Byte is a small, highly mobile and autonomous millirobot platform that can move on non-smooth, natural terrain. Each Buffalo Byte has two silicone treads, with compliant spines that increase traction forces. The silicone treads are driven independently by small DC motors. An individual robot can reach speeds up to <inline-formula><tex-math notation="LaTeX">$235.7 \,\mathrm{m}\mathrm{m}\mathrm{/}\mathrm{s}$</tex-math></inline-formula> and drive over rough terrain and inclines up to <inline-formula><tex-math notation="LaTeX">$12.5\deg$</tex-math></inline-formula>. Each Buffalo Byte has an ESP8266EX system on chip (SoC) on-board used for computation and communication over the Wi-Fi. A completely autonomous Buffalo Byte carrying its own power source has a mass of <inline-formula><tex-math notation="LaTeX">$11.35 \,\mathrm{g}$</tex-math></inline-formula> with a volumetric footprint of <inline-formula><tex-math notation="LaTeX">$28.5 \,\mathrm{m}\mathrm{m}$</tex-math></inline-formula> × <inline-formula><tex-math notation="LaTeX">$29.5 \,\mathrm{m}\mathrm{m}$</tex-math></inline-formula>× <inline-formula><tex-math notation="LaTeX">$21.4 \,\mathrm{m}\mathrm{m}$</tex-math></inline-formula> with an average runtime of 30 minutes. The Buffalo Byte is even capable of closed-loop control on rough terrain using feedback from the on-board inertial measurement unit (IMU).
Modelling the EAH Data Compression Algorithm using Graph Theory

Adaptive codes associate variable-length codewords to symbols being encoded depending on the previous symbols in the input data string. This class of codes has been introduced in [Dragos Trinca, cs.DS/0505007] as a new class of non-standard variable-length codes. New algorithms for data compression, based on adaptive codes of order one, have been presented in [Dragos Trinca, ITCC-2004], where we have behaviorally shown that for a large class of input data strings, these algorithms substantially outperform the Lempel-Ziv universal data compression algorithm. EAH has been introduced in [Dragos Trinca, cs.DS/0505061], as an improved generalization of these algorithms. In this paper, we present a translation of the EAH algorithm into the graph theory.
E-dumbbell: An electronic dumbbell with haptic feedback for wrist rehabilitation

In this paper, the design and implementation of a wrist rehabilitation system that is cheap and simple is presented. E-dumbbell consists of a regular dumbbell mounted with an accelerometer and a pair of vibro-tactile actuators that allow the dumbbell interface to interact with a two dimensional Ping-Pong game. The main purpose of the system is to enable patients to perform their daily wrist training in a convenient and entertaining manner. The system can be adapted to fit the needs of different patients with different rehabilitation levels by allowing patients to customize the difficulty level of the game. The training sensory data are stored in a database that could be used by the therapist to track his/her patient's progress.
Genome-based Proteomic Analysis of Lignosus rhinocerotis (Cooke) Ryvarden Sclerotium

Lignosus rhinocerotis (Cooke) Ryvarden (Polyporales, Basidiomycota), also known as the tiger milk mushroom, has received much interest in recent years owing to its wide-range ethnobotanical uses and the recent success in its domestication. The sclerotium is the part with medicinal value. Using two-dimensional gel electrophoresis coupled with mass spectrometry analysis, a total of 16 non-redundant, major proteins were identified with high confidence level in L. rhinocerotis sclerotium based on its genome as custom mapping database. Some of these proteins, such as the putative lectins, immunomodulatory proteins, superoxide dismutase, and aegerolysin may have pharmaceutical potential; while others are involved in nutrient mobilization and the protective antioxidant mechanism in the sclerotium. The findings from this study provide a molecular basis for future research on potential pharmacologically active proteins of L. rhinocerotis.
Improving conservation planning for subtidal estuarine biodiversity

Improving conservation planning for subtidal estuarine biodiversity ii Abstract Conservation planning is used to identify areas for protection of biodiversity. In marine systems, however, such planning is often based on limited information and may therefore be conducted using conservation targets, such as arbitrary fixed percentage targets, that are unrepresentative of underlying biological assemblages, which frequently exhibit considerable spatial variability amongst areas. There is a clear need for improved methods for gathering and classifying subtidal marine biodiversity data and for setting targets in conservation planning. Here, methods for collecting data for subtidal estuarine habitats and fish and mollusc assemblages were developed, a novel method for classifying habitats was established, and techniques for modelling surrogacy relationships between biological assemblages and abiotic variables were examined. The resulting data were used to assess the relative efficiency of different target-setting approaches in conservation planning, highlighting the benefits that accrue when conservation planning takes underlying biological diversity into consideration. The study was based on data gathered in the Port Stephens estuary in New South Wales, Australia; part of the Port Stephens-Great Lakes Marine Park. Habitats within Port Stephens were surveyed using a combination of towed video and aerial photography over an area exceeding 50 km 2 . A classification system for habitats was developed using surveys of benthic cover across a range of sites and depths. Relationships between habitat distributions and abiotic variables were explored using distance-based linear modelling and, for seagrass habitats, the novel application of relative environmental suitability modelling. Fish and mollusc assemblage data were gathered across habitat types, using underwater visual census, and distance-based linear modelling was again used to examine whether habitats and abiotic variables provided useful surrogates for fish and mollusc assemblages. Approaches to setting targets for conservation planning were investigated, including the potential for setting quantitative non-uniform targets based on species-area relationships. Habitat classification identified a number of significantly different benthic habitats within Port Stephens and identified previously unknown areas of some habitats in the study area. Modelling identified strong correlations between benthic habitat distributions and abiotic variables of depth, location, substrate type, and current strength. For seagrass habitats,
Visualizing Sensor Data

As costs and size of microprozessors and sensors decrease, interest in using sensor networks for various applications of the most different kinds grows. According to this fact rises the need of exploring best ways of sensor deployement, data acquisition from a network as well as visualizing the sensed data. This paper deals with the last of this needs through the contemplation of sensors and their data delivery, of visualization criterions and the try to merge sensor data and visualization. Sensor networks can vary from very small to very big depending on the number of sensors included and the number of measurands, a sensor node is able to sense. Hence exists a wide range of different applications, sensor networks can be used at, creating an even wider range of possible visualizations. Besides the application the raw sensor data as well as position and time of a measurement are the main aspects when deciding on a visualization.
Cloning, Characterization, and Expression of a G-Protein-Coupled Receptor from Lymnaea stagnalis and Identification of a Leucokinin-Like Peptide, PSFHSWSamide, as Its Endogenous Ligand

Neuropeptides are known to be important signaling molecules in several neural systems of the pond snail Lymnaea stagnalis. Although the functions of these peptides have been studied in many neurons, the nature of the postsynaptic signal transduction is mainly unknown. The cloning and characterization of neuropeptide receptors in Lymnaea thus would be very valuable in further elucidating peptidergic pathways. Indirect evidence suggests that these neuropeptides operate via G-protein-coupled mechanisms indicating the presence of G-protein-coupled receptors as the initial postsynaptic targets. Here we describe the cloning of a neuropeptide receptor from Lymnaea and the isolation of an endogenous ligand. This peptide, PSFHSWSamide, belongs to the leucokinin family of peptides, and, thus, this Lymnaeareceptor is the first example of a leucokinin-like neuropeptide receptor, representing a new subfamily of G-protein-coupled neuropeptide receptors.
A B-SPLINE MODEL FOR CAMERA CALIBRATION By YIMING XU A THESIS PRESENTED TO THE GRADUATE SCHOOL OF THE UNIVERSITY OF FLORIDA IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENCE UNIVERSITY OF FLORIDA

of Thesis Presented to the Graduate School of the University of Florida in Partial Fulfillment of the Requirements for the Degree of Master of Science A B-SPLINE MODEL FOR CAMERA CALIBRATION By Yiming Xu May 2012 Chair: Carl Crane Major: Mechanical Engineering This thesis presents a general B-spline surface model for camera calibration. The model implicitly characterizes lens distortion by directly relating positions on the image plane to lines of sight in the world reference frame. Resolution for the model can be adjusted by the numbers of control vertices. Orders for the B-spline surfaces can also be chosen for improvement of accuracy without increasing degrees of freedom in the model. A calibration grid with known position and orientation is used for data acquisition, and calibration results are compared with actual measurements. An auxiliary method is provided to recover the relationship between the camera model and the world reference frame after the camera is moved. Both numerical and practical tests are conducted for demonstration purposes.