Miracle-dz/UniFAR-FTUs huggingface dataset:
Cumulant Analysis of Rössler Attractor and its Applications

This paper is dedicated to the statistical analysis of the chaos, generated by Rossler attractor, based on the so- called "Degenerated Cumulant Equations" method. The approach is illustrated by the calculus of the first cumulants, which are necessary to create an approximation of the Probability Density Function (PDF), applying the Gramm-Charlier series, the model distribution method, etc. An approximate method for the variance calculation at the output of the Rossler strange attractor is presented as well. The latter is based on the Kolmogorov-Sinai entropy estimated by the Lyapunov exponents for a statistically linearized chaotic system. Finally, an application using Rossler attractor output signals to model Radio Frequency Interferences (RFI) provided by Peripherical Component Interface express (PCIe) serial bus of high speed interconnects of Laptops and Desktops is presented.
CUTS: Improving Channel Utilization in Both Time and Spatial Domain in WLANs

Improving channel utilization is a well-known issue in wireless networks. In traditional point-to-point wireless communication, significant efforts had been made by the existing studies on enhancing the utilization of the channel access time. However, in the emerging wireless network using MU-MIMO, considering only the time domain in channel utilization is not sufficient. As multiple transmitters are allowed to transmit packets simultaneously to the same AP, allowing more antennas at AP would lead to higher channel utilization. Thus, the channel utilization in MU-MIMO should consider both time and spatial domains, i.e., the channel access time and the antenna usage, which have not been considered in the existing methods. In this paper, we point out that the fundamental problem is lacking of the antenna information of contention nodes in channel contention. To address this issue, we propose a new MAC-PHY architecture design, CUTS, to allow distributed nodes effectively contend for the channel and utilize the channel in both domains. Particularly, CUTS adopts interference nulling to attach the antenna information in channel contention. Meanwhile, techniques such as channel contention in frequency domain and ACK in frequency domain using self-jamming are adopted. Through the software defined radio-based real experiments and extensive simulations, we demonstrate the feasibility of our design and illustrate that CUTS provides better channel utilization with the gain over IEEE 802.11 reaching up to 470 percent.
Indoor Tracking Using Conditional Random Fields

This work proposes a working prototype of a novel, robust and responsive indoor tracking technique that is extremely computationally efficient (running in under 10 ms on an Android smartphone), does not require training in different sites, and tracks well even when presented with very noisy sensor data. The tracking system requires zero user effort (war-driving, fingerprinting, etc.) – only the floor plan is required.
Cortical Gating of Oropharyngeal Sensory Stimuli

Somatosensory evoked potentials provide a measure of cortical neuronal activation in response to various types of sensory stimuli. In order to prevent flooding of the cortex with redundant information various sensory stimuli are gated cortically such that response to stimulus 2 (S2) is significantly reduced in amplitude compared to stimulus 1 (S1). Upper airway protective mechanisms, such as swallowing and cough, are dependent on sensory input for triggering and modifying their motor output. Thus, it was hypothesized that central neural gating would be absent for paired-air puff stimuli applied to the oropharynx. Twenty-three healthy adults (18–35 years) served as research participants. Pharyngeal sensory evoked potentials (PSEPs) were measured via 32-electrode cap (10–20 system) connected to SynAmps2 Neuroscan EEG System. Paired-pulse air puffs were delivered with an inter-stimulus interval of 500 ms to the oropharynx using a thin polyethylene tube connected to a flexible laryngoscope. Data were analyzed using descriptive statistics and a repeated measures analysis of variance. There were no significant differences found for the amplitudes S1 and S2 for any of the four component PSEP peaks. Mean gating ratios were above 0.90 for each peak. Results supports our hypothesis that sensory central neural gating would be absent for component PSEP peaks with paired-pulse stimuli delivered to the oropharynx. This may be related to the need for constant sensory monitoring necessary for adequate airway protection associated with swallowing and coughing.
Opus: University of Bath Online Publication Store from Web Accessibility to Web Adaptability

This version is made available in accordance with publisher policies. Please cite only the published version using the reference above. Abstract Purpose: This paper asserts that current approaches to enhancing the accessibility of Web resources fail to provide a solid foundation for the development of a robust and future-proofed framework. In particular, they fail to take advantage of new technologies and technological practices. The paper introduces a framework for Web adaptability which encourages the development of Web-based services which can be resilient to the diversity of uses of such services, the target audience, available resources, technical innovations, organisational policies and relevant definitions of " accessibility ". Method: The article refers to a series of author-focussed approaches to accessibility through which the authors and others have struggled to find ways to promote accessibility for people with disabilities. These approaches depend upon the resource author's determination of the anticipated users' needs and their provision. Through approaches labelled as 1.0, 2.0 and 3.0, the authors have widened their focus to account for contexts and individual differences in target audiences. Now, the authors want to recognise the role of users in determining their engagement with resources (including services). To distinguish this new approach, the term 'adaptability' has been used to replace 'accessibility'; new definitions of accessibility have been adopted, and the authors have reviewed their previous work to clarify how it is relevant to the new approach. Results: Accessibility 1.0 is here characterised as a technical approach in which authors are told how to construct resources for a broadly defined audience. This is known as universal design. Accessibility 2.0 was introduced to point to the need to account for the context in which resources would be used, to help overcome inadequacies identified in the purely technical approach. Accessibility 3.0 moved the focus on users from a homogenised universal definition to recognition of the idiosyncratic needs and preferences of individuals and to cater for them. All of these approaches placed responsibility within the authoring/publishing domain without recognising the role the user might want to play, or the roles that other users in social networks, or even Web services might play. Conclusions: Adaptability shifts the emphasis and calls for greater freedom for the users to facilitate individual accessibility in the open Web environment.
A BIST structure to test delay faults in a scan environment

When stuck-at faults are targeted, scan design reduces the complexity of the test problem. But for delay fault testing, the standard scan structures are not so efficient, because delay fault testing requires the application of dedicated consecutive two-pattern tests. In a standard scan environment, pre-determined two pattern tests cannot be applied to the circuit under test because of the serial shifting procedure. In the literature, different scan modification possibilities have been proposed for applying delay fault oriented deterministic test patterns. Another issue of the delay fault testing problem in scan-based sequential circuits is presented in this paper. The solution combines a BIST structure with the standard scan design.
Identifying sparse and dense sub-graphs in large graphs with a fast algorithm

Identifying the nodes of small sub-graphs with no a priori information is a hard problem. In this work, we want to find each node of a sparse sub-graph embedded in both dynamic and static background graphs, of larger average degree. We show that by exploiting the summability over several background realizations of the Estrada-Benzi communicability and the Krylov approximation of the matrix exponential, it is possible to recover the sub-graph with a fast algorithm with computational complexity in the worst case, where n is the number of nodes and N is the number of backgrounds. Relaxing the problem to complete sub-graphs, the same performance is obtained with a single background, with a best case complexity O(n).
School Counselors' Roles in RAMP and PBIS a Phenomenological Investigation (Part Two)

Researchers conducted a qualitative, phenomenological investigation of the lived experiences of a sample of 10 school counselors in current or recent RAMP (Recognized ASCA [American School Counselor Association] Model Program) schools that also implemented positive behavioral interventions and supports (PBIS) with high fidelity. Researchers found two themes and related subthemes regarding school counselor roles. The first theme was school counselors' roles and responsibilities, with subthemes (a) makes sense with their role and (b) roles across tiers. The second theme was ASCA National Model themes in action. Subthemes were (a) advocacy and systemic change, (b) leadership, and (c) collaboration. The authors discuss findings, limitations, implications, and future research related to this study.
Rational convex cones and cyclotomic multiple zeta values

In this paper, we introduce zeta values of rational convex cones, which is a generalization of cyclotomic multiple zeta values. These zeta values have integral expressions. The main theorem asserts that zeta values of cones can be expressed as linear combinations of cyclotomic multiple zeta values over some cyclotomic field.
Monolithic 2-D scanning mirror using self-aligned angular vertical comb drives

We have demonstrated microfabricated, monolithic two degrees of freedom (two-dimensional) electrostatic torsional mirrors using a three-mask process on silicon-on-insulator wafer with a single plastic deformation step. The mirror operated independently in two orthogonal directions as controlled by two sets of self-aligned angular vertical combs. The measured dynamic performance showed resonant frequencies of 10.56 and 1.54 kHz with optical scanning angles up to 27/spl deg/ and 20/spl deg/ in the two orthogonal axes, respectively, under driving voltages of 20 V/sub dc/ plus 15 V/sub pp/. A 90-day continuous mirror operation at peak resonance, in equivalent to 80 and 12.1 billion cycles on the two orthogonal axes, showed negligible performance variations.
Robust and Fast Side View Vehicle Detection and Counting

Trafﬁc sensing is important for trafﬁc researchers, but there is limited infrastructure systems related to it. This project proposed a robust and fast computer vision based trafﬁc sensing approach. Static cameras were installed on the sidewalk and captured the side view of vehicles. The detection algorithm is based on HOG features and is trained with an SVM. Combined with fast motion detection and tracking algorithms, the approach is able to achieve good vehicle counting accuracy with fast computation.
Creating and Animating Subject‐Specific Anatomical Models

Creating and animating subject‐specific anatomical models is traditionally a difficult process involving medical image segmentation, geometric corrections and the manual definition of kinematic parameters. In this paper, we introduce a novel template morphing algorithm that facilitates three‐dimensional modelling and parameterization of skeletons. Target data can be either medical images or surfaces of the whole skeleton. We incorporate prior knowledge about bone shape, the feasible skeleton pose and the morphological variability in the population. This allows for noise reduction, bone separation and the transfer, from the template, of anatomical and kinematical information not present in the input data. Our approach treats both local and global deformations in successive regularization steps: smooth elastic deformations are represented by an as‐rigid‐as‐possible displacement field between the reference and current configuration of the template, whereas global and discontinuous displacements are estimated through a projection onto a statistical shape model and a new joint pose optimization scheme with joint limits.
Planting Seeds: Actively Developing Scholar-Practitioners

The Problem We know much about who and what scholar-practitioners are, but we know little about how to develop individuals into scholar-practitioners. Given this, we need to move the conversation beyond descriptive attributes and expend time and effort to identify methods to cultivate these professionals. Doing so will help change the perception that there are theory-to-practice gaps and ultimately improve the strength and value of the human resource development field to other disciplines. The Solution This article is in response to Ruona and Gilley’s call for moving beyond bemoaning the theory-practice gap and starting providing constructive solutions to close it. Using two real-life cases for illustration, I present a strategy for cultivating individuals in applied fields into effective scholar-practitioners. The Stakeholders This article provides a potential path for trainers to integrate theory and research into practice, for faculty to incorporate practical contexts into educational opportunities, and for managers and organizations to adapt evidence-based solutions to a complex, rapidly changing environment.
The SDSS Damped Lya Survey: Data Release 1

We present the results from an automated search for damped Lya (DLA) systems in the quasar spectra of Data Release 1 from the Sloan Digital Sky Survey (SDSS-DR1). At z~2.5, this homogeneous dataset has greater statistical significance than the previous two decades of research. We derive a statistical sample of 71 damped Lya systems (>50 previously unpublished) at z>2.1 and measure HI column densities directly from the SDSS spectra. The number of DLA systems per unit redshift is consistent with previous measurements and we expect our survey has >95% completeness. We examine the cosmological baryonic mass density of neutral gas Omega_g inferred from the damped Lya systems from the SDSS-DR1 survey and a combined sample drawn from the literature. Contrary to previous results, the Omega_g values do not require a significant correction from Lyman limit systems at any redshift. We also find that the Omega_g values for the SDSS-DR1 sample do not decline at high redshift and the combined sample shows a (statistically insignificant) decrease only at z>4. Future data releases from SDSS will provide the definitive survey of DLA systems at z~2.5 and will significantly reduce the uncertainty in Omega_g at higher redshift.
A neural network based on sequence learning for speech recognition

This paper aims to present a neural network based on sequence learning for speech recognition. Since, the sequence learning is an important component of learning in many task domains of intelligent system such as, speech recognition, natural language processing, adaptive control, inference, planning, reasoning, robotics, time series prediction, and DNA sequencing. Our proposed network shows recognition rate (100%). The proposed topology doesnpsilat need a long time for training so it is suitable for on line recognition. It is suitable for configurable hardware implementation and it can be used when there no enough data for training.
Neural coding model using the morphoelectrotonic transform theory

It is believed that the color and the shape movement etc. of objects are expressed with time series of neuron spikes in the brain. We do not have any answer to realize the process, “What kind of neuron dynamics works and is able to express the processes? ” To solve this problem, we need at least to s tudy the neural coding where information is expressed by the spike sequence. In this research, it introduces the neural coding that uses the theory of morphoelector otonic transform. The morphoelectorotonic transform is a theory based on the experiment on neurophysiology, and the neuron circuit can change dynamically depending on this coding model. Moreover, a simulation model that solved the binding problem to use this coding model is constructed, and significant of coding is verified.
Transmission Control Protocol Based on Statistic Process Control

Weifeng Zhao, Dawei Gao, Yandong An, Yantai Shu, M. Y. Sanadidi 1 First Author School of Computer Science and Technology, Tianjin University, Tianjin, P.R. China, fgwy_zhao@163.com School of Computer and Information Engineering, Tianjin Institute of Urban Construction, Tianjin, P.R. China, fgwy_zhao@163.com School of Computer Science and Technology, Tianjin University, Tianjin, P.R. China, naokicn@hotmail.com, nuanran199@yahoo.com. cn *5,Corresponding Author School of Computer Science and Technology, Tianjin University, Tianjin, P.R. China, ytshu@tju.edu. cn Computer Science Department, UCLA, Los Angeles, USA medy@cs.ucla. edu
Extinction of Learned Fear Induces Hippocampal Place Cell Remapping

The extinction of learned fear is a hippocampus-dependent process thought to embody new learning rather than erasure of the original fear memory, although it is unknown how these competing contextual memories are represented in the hippocampus. We previously demonstrated that contextual fear conditioning results in hippocampal place cell remapping and long-term stabilization of novel representations. Here we report that extinction learning also induces place cell remapping in C57BL/6 mice. Specifically, we observed cells that preferentially remapped during different stages of learning. While some cells remapped in both fear conditioning and extinction, others responded predominantly during extinction, which may serve to modify previous representations as well as encode new safe associations. Additionally, we found cells that remapped primarily during fear conditioning, which could facilitate reacquisition of the original fear association. Moreover, we also observed cells that were stable throughout learning, which may serve to encode the static aspects of the environment. The short-term remapping observed during extinction was not found in animals that did not undergo fear conditioning, or when extinction was conducted outside of the conditioning context. Finally, conditioning and extinction produced an increase in spike phase locking to the theta and gamma frequencies. However, the degree of remapping seen during conditioning and extinction only correlated with gamma synchronization. Our results suggest that the extinction learning is a complex process that involves both modification of pre-existing memories and formation of new ones, and these traces coexist within the same hippocampal representation.
Sparsity from binary hypothesis testing and application to non-parametric estimation

This paper presents and discusses an alternative notion of sparsity. This notion derives from a theoretical result in binary hypothesis testing and slightly differs from the standard notion of sparsity introduced by Donoho and Johnstone. As an application of this alternative notion of sparsity and as an extension of the detection threshold recently proposed, level-dependent detection thresholds are introduced. The performance of level-dependent detection thresholds is illustrated in the context of non-parametric estimation by soft thresholding in the wavelet domain. Experimental results show that the resulting approach performs well in comparison with one of the best up-to-date parametric method. In connection with some results concerning the statistical properties of wavelet coefficients associated with strictly stationary random processes, prospects are suggested for estimating unknown signals in non-necessarily white or Gaussian noise.
Fast Big Data Analysis in Geo-Distributed Cloud

As cloud services grow to span more and more globally distributed datacenters, there is an increasingly need for scheduling algorithms to automatically place tasks across these datacenters. In geo-distributed cloud, the limited WAN bandwidth has become the major bottleneck in fast big data analytics. The scheduling algorithm needs to minimize the global completion time, by jointly optimizing task scheduling and WAN data transfer. In this paper, we model the task scheduling as a community detection problem, with respect to the dependency relations between task, data, and datacenters, and propose a Community Detection-based Scheduling (CDS) algorithm, which is able to minimize the WAN data transfer volume. We utilize the real China-Astronomy-Cloud network to evaluate the proposed algorithms. Experimental results show that we can reduce the total data transfer volume by up to 40.7%, and the global completion time by up to 35.8%, compared with the Hypergraph Partition-based scheduling algorithm and the greedy scheduling algorithm.
BER evaluation of a low complexity transmit diversity scheme and its application to MIMO-BICM

In this paper, we first provide a theoretical validation for a low-complexity transmit diversity algorithm which employs only one RF chain and a low-complexity switch for transmission. Our theoretical analysis is compared to the simulation results and proved to be accurate. We then apply the transmit diversity scheme to multiple-input and multiple-output (MIMO) systems with bit-interleaved coded modulation (BICM).
BCL2 antagonist of cell death kinases, phosphatases, and ovarian cancer sensitivity to cisplatin

Objective The BCL2 family proteins are critical mediators of cellular apoptosis and, as such, have been implicated as determinants of cancer cell chemo-sensitivity. Recently, it has been demonstrated that the phosphorylation status of the BCL2 antagonist of cell death (BAD) protein may influence ovarian cancer (OVCA) cell sensitivity to cisplatin. Here, we sought to evaluate how kinase and phosphatase components of the BAD apoptosis pathway influence OVCA chemo-sensitivity. Methods Protein levels of cyclin-dependent kinase 1 (CDK1) and protein phosphatase 2C (PP2C) were measured by immunofluorescence in a series of 64 primary advanced-stage serous OVCA patient samples. In parallel, levels of cAMP-dependent protein kinase (PKA), AKT, and PP2C were quantified by Western blot analysis in paired mother/daughter platinum-sensitive/resistant OVCA cell lines (A2008/C13, A2780S/A2780CP, Chi/ChiR). BAD pathway kinase CDK1 was depleted using siRNA transfection, and the influence on BAD phosphorylation and cisplatin-induced apoptosis was evaluated. Results OVCA patient samples that demonstrated complete responses to primary platinum-based therapy demonstrated 4-fold higher CDK1 (p<0.0001) and 2-fold lower PP2C (p=0.14) protein levels than samples that demonstrated incomplete responses. Protein levels of PP2C were lower in the platinum-resistant versus that shown in the platinum-sensitive OVCA cell line sub-clones. Levels of PKA were higher in all platinum-resistant than in platinum-sensitive OVCA cell line sub-clones. Selective siRNA depletion of CDK1 increased sensitivity to cisplatin-induced apoptosis (p<0.002). Conclusion BAD pathway kinases and phosphatases, including CDK1 and PP2C, are associated with OVCA sensitivity to platinum and may represent therapeutic opportunities to enhance cytotoxic efficacy.