Miracle-dz/UniFAR-FTUs huggingface dataset:
RIVER: Reconfigurable Pre-Synthesized-Streaming Architecture for Signal Processing on FPGAs

We present a scalable run-time configurable and programmable signal processing architecture for real-time applications which covers a wide performance spectrum. Our approach goes beyond conventional special purpose signal processing engines. Scalability has multiple dimensions: on core- and network-level. We base our novel architecture on programmable components which can be re-combined and re-configured to match application specific requirements for signal processing tasks at run-time. Users of the RIVER architecture can use our pre-synthesized cores to avoid HDL-coding and lengthy FPGA translation. For evaluation we have mapped computational- and memory-intensive kernels to the RIVER architecture and achieved 250 GMACs which is significantly (1.6-2x) more than many high-end DSPs provide.
Considering dependence among genes and markers for false discovery control in eQTL mapping

MOTIVATION Multiple comparison adjustment is a significant and challenging statistical issue in large-scale biological studies. In previous studies, dependence among genes is largely ignored. However, such dependence may be strong for some genomic-scale studies such as genetical genomics [also called expression quantitative trait loci (eQTL) mapping] in which thousands of genes are treated as quantitative traits and mapped to different genetical markers. Besides the dependence among markers, the dependence among the expression levels of genes can also have a significant impact on data analysis and interpretation. RESULTS In this article, we propose to consider both the mean as well as the variance of false discovery number for multiple comparison adjustment to handle dependence among hypotheses. This is achieved by developing a variance estimator for false discovery number, and using the upper bound of false discovery proportion (uFDP) for false discovery control. More importantly, we introduce a weighted version of uFDP (wuFDP) control to improve the statistical power of eQTL identification. In addition, the wuFDP approach can better control false positives than false discovery rate (FDR) and uFDP approaches when markers are in linkage disequilibrium. The relative performance of uFDP control and wuFDP control is illustrated through simulation studies and real data analysis. SUPPLEMENTARY INFORMATION Supplementary figures, tables and appendices are available at Bioinformatics online.
Control Strategies for Mobile Robot With Obstacle Avoidance

Obstacle avoidance is an important task in the field of robotics, since the goal of autonomous robot is to reach the destination without collision. Several algorithms have been proposed for obstacle avoidance, having drawbacks and benefits. In this survey paper, we mainly discussed different algorithms for robot navigation with obstacle avoidance. We also compared all provided algorithms and mentioned their characteristics; advantages and disadvantages, so that we can select final efficient algorithm by fusing discussed algorithms. Comparison table is provided for justifying the area of interest
Mode competition between rotating waves in a swirling flow with reflection symmetry

Flow in a cylinder driven by the co-rotation of the top and bottom endwalls displays distinct instability mechanisms, depending on whether its aspect ratio (length to diameter) is large or small. When the cylinder length is about the same as its diameter, the two mechanisms compete and lead to a stable mixed mode solution. Using numerical computations of the three-dimensional Navier–Stokes equations, together with equivariant bifurcation and normal form theory, we explore the nature of this mode competition, both from a flow physics point of view and from a dynamical systems with symmetry point of view. The results help to clarify the distinct behaviours observed experimentally in some short and long cylinder flows.
Predicting Eye Fixations With Higher-Level Visual Features

Saliency map and object map are the two contrasting hypotheses for the mechanisms utilized by the visual system to guide eye fixations when humans are freely viewing natural images. Most computational studies define saliency as outliers of distributions of low-level features, and propose saliency as an important factor for predicting eye fixations. Psychophysical studies, however, suggest that high-level objects predict eye fixations more accurately and the early saliency only has a minor effect. But this view has been challenged by a study which shows opposite results, suggesting that the role of object-level features needs further investigations. In addition, little is known about the role of intermediate features between the low-level and the object-level features. In this paper, we construct two models based on mid-level and object-level features, respectively, and compare their performances against those based on low-level features. Quantitative evaluation on three benchmark natural image fixation data sets demonstrates that the mid-level model outperforms the state-of-the-art low-level models by a significant margin and the object-level model is inferior to most low-level models. Quantitative evaluation on a video fixation data set demonstrates that both the mid-level and object-level models outperform the state-of-the-art low-level models, and the latter performs better under three out of four standard metrics. When combined together the two proposed models achieve even higher performance. However, incorporating the best low-level model yields negligible improvements on all of the data sets. Taken together, these results indicate that higher level features may be more effective than low-level features for predicting eye fixations on natural images in the free viewing condition.
“ Sweet-Spot ” : Using Spatiotemporal Data to Discover and Predict Shots in Tennis

In this paper, we use ball and player tracking data from “Hawk-Eye” to discover unique player styles and predict within-point events. We move beyond current analysis that only incorporates coarse match statistics (i.e. serves, winners, number of shots, volleys) and use spatial and temporal information which better characterizes the tactics and tendencies of each player. Using a probabilistic graphical model, we are able to model player behaviors which enables us to: 1) find the factors such as location and speed of the incoming shot which are most conducive to a player hitting a winner (i.e. “sweet-spot”) or cause an error, and 2) do “live in-point” prediction based on the shots being played during a rally we estimate the probability of the outcome of the next shot (e.g. winner, continuation or error). As player behavior depends on the opponent, we use model adaptation to enhance our prediction. We show the utility of our approach by analyzing the play of Djokovic, Nadal and Federer at the 2012 Australian Tennis Open.
The Dynamics of Type 2 Diabetes Mellitus Prevalence and Management Rates among Rural Population in Henan Province, China

The aim of this study was to estimate the dynamics of type 2 diabetes mellitus (T2DM) prevalence and management rates based on a rural cohort study in Henan Province of China. The rural prospective study was conducted for 20194 Chinese population ≥18 years in 2007-2008 and followed during 2013-2014. A total of 14009 individuals were recruited for the prospective analysis ultimately. Over 5.74 years of follow-up, the age-standardized prevalence, awareness, treatment, and control of T2DM increased from 6.18%, 44.41%, 34.39%, and 19.08% at baseline to 7.87%, 59.64%, 52.17%, and 26.52% at follow-up in total population, respectively. Similar changes were found in men and women except the age-standardized control in men. The four parameters of T2DM were higher among various factors at follow-up than those at baseline. There was no statistical difference in awareness (P = 0.089) and treatment (P = 0.257) in the newly diagnosed T2DM compared with the rates at baseline. The current study indicated that the prevalence, awareness, treatment, and control of T2DM displayed chronological increasing trends while the awareness, treatment, and control of T2DM were still disproportionally low in central China. More works are needed urgently to popularize public health education and improve the quality of medical care in T2DM.
Collaborative learning processes in the context of a public health professional development program: a case study

ABSTRACT The health promotion laboratory (HPL – Canada) is a public health professional development program building on a collaborative learning approach in order to support long-term practice change in local health services teams. This study aims to analyse the collaborative learning processes of two teams involved in the program during the first year of implementation. Based on a multiple case study design involving observations, interviews, and documentary sources, the study: (1) describes the learning process by which each team built a common understanding of the problem at hand and developed an intervention to address it; (2) identifies factors that facilitated or hindered these processes; and (3) proposes a cross-case explanation of the collaborative learning process in the HPL. The results demonstrate that the two teams learned by expanding their repertoire of actions, albeit experiencing different processes. Results point to the central role of shared mental models and key influencing factors, such as commitment and participation (team cohesion), team climate (psychological safety), and leadership style. Unlike previous studies on team learning that concentrated on existing teams in organisations, the current research studied purposely created teams working at transforming their practices and showed that they can successfully learn if specific conditions are achieved.
Distributed flow estimation and closed-loop control of an underwater vehicle with a multi-modal artificial lateral line

Bio-inspired sensing modalities enhance the ability of autonomous vehicles to characterize and respond to their environment. This paper concerns the lateral line of cartilaginous and bony fish, which is sensitive to fluid motion and allows fish to sense oncoming flow and the presence of walls or obstacles. The lateral line consists of two types of sensing modalities: canal neuromasts measure approximate pressure gradients, whereas superficial neuromasts measure local flow velocities. By employing an artificial lateral line, the performance of underwater sensing and navigation strategies is improved in dark, cluttered, or murky environments where traditional sensing modalities may be hindered. This paper presents estimation and control strategies enabling an airfoil-shaped unmanned underwater vehicle to assimilate measurements from a bio-inspired, multi-modal artificial lateral line and estimate flow properties for feedback control. We utilize potential flow theory to model the fluid flow past a foil in a uniform flow and in the presence of an upstream obstacle. We derive theoretically justified nonlinear estimation strategies to estimate the free stream flowspeed, angle of attack, and the relative position of an upstream obstacle. The feedback control strategy uses the estimated flow properties to execute bio-inspired behaviors including rheotaxis (the tendency of fish to orient upstream) and station-holding (the tendency of fish to position behind an upstream obstacle). A robotic prototype outfitted with a multi-modal artificial lateral line composed of ionic polymer metal composite and embedded pressure sensors experimentally demonstrates the distributed flow sensing and closed-loop control strategies.
The research of business intelligence system based on data mining

In recent years, China's ports continuously improve the level of information, with remarkable achievements in improving service processes, improving operational efficiency, logistics, port services has become more automated and intelligent. But with the increasingly fierce competition in the port business, simply increased automation and operational efficiency can't meet the demand for port development, there are many problems in business operations and business decisions because lack of business intelligence applications, resulting in the port. The value of this paper is that the specific business decisions can be linked with business intelligence optimization theory and practice in port, which is full utilization of the characteristics of the port business data. Data mining technology and business intelligence systems combine to achieve financial risk control port and customer policy management, decision-making ability of enterprises to improve the port.
Intramural Recurrence Without Mucosal Lesions After an Endoscopic Mucosal Resection for Early Colorectal Cancer

Advances in endoscopic instruments and techniques have enabled increased detection and removal of early colorectal cancer (ECC), which is defined as a tumor whose invasion is limited to the mucosa or submucosa. Some cases can be treated by endoscopic mucosal resection (EMR). However, local recurrence frequently occurs after an EMR for ECC. The recurrence pattern is usually intramural recurrence with a mucosal lesion at the EMR's site. We report the cases of two patients with intramural recurrence without mucosal lesions after an EMR for ECC. These cases indicate that a local recurrence after an EMR for ECC can appear as an intramural recurrence without mucosal lesions at a previous EMR site or another site, although this presentation is very unusual.
Genes with stable DNA methylation levels show higher evolutionary conservation than genes with fluctuant DNA methylation levels

Different human genes often exhibit different degrees of stability in their DNA methylation levels between tissues, samples or cell types. This may be related to the evolution of human genome. Thus, we compared the evolutionary conservation between two types of genes: genes with stable DNA methylation levels (SM genes) and genes with fluctuant DNA methylation levels (FM genes). For long-term evolutionary characteristics between species, we compared the percentage of the orthologous genes, evolutionary rate dn/ds and protein sequence identity. We found that the SM genes had greater percentages of the orthologous genes, lower dn/ds, and higher protein sequence identities in all the 21 species. These results indicated that the SM genes were more evolutionarily conserved than the FM genes. For short-term evolutionary characteristics among human populations, we compared the single nucleotide polymorphism (SNP) density, and the linkage disequilibrium (LD) degree in HapMap populations and 1000 genomes project populations. We observed that the SM genes had lower SNP densities, and higher degrees of LD in all the 11 HapMap populations and 13 1000 genomes project populations. These results mean that the SM genes had more stable chromosome genetic structures, and were more conserved than the FM genes.
DRINKING WATER TREATMENT : A NEURAL NETWORK MODEL FOR COAGULATION DOSING

The aim of this paper is to present the development and validation of a neural network model for on-line prediction of coagulant dosage from raw water characteristics. The main parameters influencing the coagulant dosage are firstly determined via a PCA. A brief description of the methodology used for the synthesis of neural models is given and experimental results are included. The training of the neural network is performed using the Weight Decay regularization in combination with Levenberg-Marquardt method. The simulation results of neural model compared to a linear regression model are illustrated with real data. Copyright © 2005 IFAC
SNR estimation and bit allocation applied in logging telemetry equipment

Nowadays many logging communication systems adapt the Orthogonal Frequency Division Multiplexing (OFDM) for the implementation of high transmission rate. In order to realize higher rate, adaptive bit allocation is proposed, which is based on signal-to-noise ratio (SNR). SNR is a significant evaluation parameter for the channel quality in the communication systems. In this paper, we derive a SNR estimation method for the logging cable channel. Simulation results show that the proposed algorithm is available to obtain relatively accurate measurements of SNR. On the basis of measurements, we assign the bits for sub-channels by a simplified bit allocation method. Compared with fixed bit allocation, this method improves the transmission rate.
A real time infrared scene simulator in CMOS/SOI MEMS

A 64/spl times/128 real-time infrared (RTIR) CMOS/SOI scene generation IC is presented. The RTIR IC offers real-time dynamic thermal scene generation. This system is a mixed mode design, with analog scene information written and stored into a thermal pixel array. The design presented utilizes micro-electromechanical systems (MEMS) in conjunction with the 0.8 /spl mu/m SPAWAR CMOS/SOI process to develop a RTIR IC scene generator.
Current and Potential Antiarrhythmic Drugs Targeting Voltage-Gated Cardiac Ion Channels

Voltage-gated ion channels play a fundamental role in the generation and propagation of the cardiac action potential by acting synergistically to produce an ionic current across cellular membranes. Abnormalities of heart ion channel activities that lead to loss or gain of function (channelopathies) are often associated with disruption of the coordinated propagation of electrical activity of the cardiac myocytes and can generate fatal arrhythmogenesis. Drugs that act on cardiac ion channels have long been used to restore normal rhythm and conduction in patients affected by cardiac arrhythmias and offered to basic scientists the possibility to characterize distinct ion channel classes. This review will explore the mechanisms and role of the current anti-arrhythmic drugs used in the clinic, and discuss recent development on ion channel openers as potential anti-arrhythmic drugs.
FUZZY LOGIC NAVIGATION AND CONTROL OF A NON-HOLONOMIC VACUUM CLEANER

In this work, a simple fuzzy logic navigation and control design for a non-holonomic robotic vacuum cleaner is presented. The embedded control has been designed by using the Motorola flash microcontroller. A circular cleaning algorithm is used to clean the space, the execution of which is driven according to the underlying philosophy of binary random sequences and obstacle occurrence. Any kind of obstacle is sensed by infra-red detectors before collision may take place. In turn, navigation and control algorithm is redirects the robot cleaner toward some other area in the vicinity while avoiding a possible collision.
Multimedia Target Tracking through Feature Detection and Database Retrieval

The real-time detection and tracking of moving objects is a challenging task and automatic tools to identify and follow them are often subject to constraints regarding the environment under investigation or the full visibility of the targeted object. Exploiting the possibility of a multisource acquisition in the targeted scene, firstly detection is performed by means of characteristic features extraction and storing in a database; secondly, the tracking task is approached using algorithms, where automatic search involves occluded or masked targets in the scene. This latter problem is solved through database retrieval, based on well-defined multi-modal features. The method has been tested on case studies regarding the identification and tracking of animals moving at night in an open environment (i.e. natural reserves or parks), and the surveillance of known scenes for unauthorized access control.
A Note on Closed Subsets in Quasi-zero-dimensional Qcb-spaces

We introduce the notion of quasi-zero-dimensionality as a substitute for the notion of zero-dimensionality, motivated by the fact that the latter behaves badly in the realm of qcb-spaces. We prove that the category QZ of quasi-zero-dimensional qcb0-spaces is cartesian closed. Prominent examples of spaces in QZ are the spaces of the Kleene-Kreisel continuous functionals equipped with the respective sequential topology. Moreover, we characterise some types of closed subsets of QZ-spaces in terms of their ability to allow extendability of continuous functions. These results are related to a problem in Computable Analysis.
A method for selecting M dwarfs with an increased likelihood of unresolved ultracool companionship

Locating ultra-cool companions to M dwarfs is important for constraining low-mass formation models, the measurement of sub-stellar dynamical masses and radii, and for testing ultra-cool evolutionary models. We present an optimised method for identifying M dwarfs which may have unresolved ultra-cool companions. We construct a catalogue of 440,694 candidates, from WISE, 2MASS and SDSS, based on optical and near-infrared colours and reduced proper motion. With strict reddening, photometric and quality constraints we isolate a sub-sample of 36,898 M dwarfs and search for possible mid-infrared M dwarf + ultra-cool dwarf candidates by comparing M dwarfs which have similar optical/near-infrared colours (chosen for their sensitivity to effective temperature and metallicity). We present 1,082 M dwarf + ultra-cool dwarf candidates for follow-up. Using simulated ultra-cool dwarf companions to M dwarfs, we estimate that the occurrence of unresolved ultra-cool companions amongst our M dwarf + ultra-cool dwarf candidates should be at least four times the average for our full M dwarf catalogue. We discuss possible contamination and bias and predict yields of candidates based on our simulations.
Visualization of Three-Dimensional Form: A discussion of theoretical models of internal representati

Current research in perception, cognition, and human-computer interaction is explored as a source of theories explaining the process by which threedimensional forms are visualized. A number of theoretical models are summarized and compared in an attempt to uncover variables important to future research conducted by the EDG profession. The appropriateness of dynamic versus static imaging techniques to develop a student's visualization abilities becomes a vehicle for applying some of these theoretical models and proposing specific display techniques. Wiebe, E. N. (1993). Visualization of three-dimensional form: A discussion of theoretical models of internal representation. Engineering Design Graphics Journal, 57, (1). Wiebe, E. N. (1993). Visualization of three-dimensional form: 2 A discussion of theoretical models of internal representation.