Miracle-dz/UniFAR-FTUs huggingface dataset:
Colonization and Extinction Patterns of a Metapopulation of Gold-spotted Pond Frogs, Rana plancyi chosenica

We investigated colonization and extinction patterns in a meta population of the gold-spotted pond frog (Rana planeyi ehoseniea) near the Korea National University of Education, Chungbuk, Korea, by surveying the frogs in the nine occupied habitat patches in the study area four times per breeding season for three years (20062008) and recording whether the patches were occupied by frogs as well as how many frogs were calling in the patches. We then developed five a priori year-specific models using the Akaike Information Criterion (AIC). The models predicted that: 1) probabilities of colonization and local extinction of the frogs were better explained by year-dependent models than by constant models, 2) there are high local extinction and low colonization probabilities, 3) approximately 31% number of patches will be occupied at equilibrium, and 4) that considerable variation in occupation rate should occur over a 30-year period, due to demographic stochasticity (in our model, the occupation rate ranged from 0.222 to 0.889). Our results suggest that colonization is important in this metapopulation system, which is governed by mainly stochastic components, and that more constructive conservation effects are needed to increase local colonization rates.
Characterization of epitaxial film silicon solar cells grown on seeded display glass

We report characterization of epitaxial film crystal silicon (c-Si) solar cells with open-circuit voltages (V<sub>oc</sub>) above 560 mV. The 2-um absorber cells are grown by low-temperature (<;750 °C) hot-wire CVD (HWCVD) on Corning<sup>®</sup> EAGLE XG<sup>®</sup> display glass coated with a layer-transferred (LT) Si seed. The high V<sub>oc</sub> is a result of low-defect epitaxial Si (epi-Si) growth and effective hydrogen passivation of defects. The quality of epitaxial growth by HWCVD on seeded glass substrates depends on the crystallographic quality of the seed and the morphology of the growth surface. Complete heterojunction cells consist of glass/c-Si LT seed/ epi n<sup>+</sup> Si:P/epi n<sup>-</sup> Si:P/intrinsic a-Si:H/p<sup>+</sup> a-Si:H/ITO. Similar devices grown on electronically `dead' n<sup>+</sup> wafers have given V<sub>oc</sub> ~ 630 mV and ~8% efficiency with no light trapping features. Here we study the effects of the seed surface polish on epi-Si quality, how hydrogenation influences the device character, and the dominant junction transport physics.
A 3.0 – 3.6 GHz LC-VCO with ETSPC Frequency Divider in 0.18-micron CMOS technology

This paper proposes the design, implementation, and measurement of a fully integrated voltage controlled oscillator (VCO) and frequency divider for multi-band transceivers in 0.18-micron IBM 7RF CMOS technology. The VCO is composed of a cross-coupled NMOS transistor-pair and LC tank as a core circuit and 4-bit digitally-switched capacitor block with linearly varying varactors for enhancement of the wide oscillation frequency bandwidth. A design of frequency divider is based on extended true-single-phase-clock (ETSPC) flip-flops with divide values ranging from 2 to 256 for very wide output frequency range. The measured results indicate that the LC-VCO frequency range is from 3.02 GHz to 3.55 GHz, and the phase noise is ‑108.89 dBc/Hz at 1 MHz offset from 3.55 GHz carrier. The power consumption of the LC-VCO with ETSPC frequency divider including all the buffers and other circuits is about 212 mW for 2.49 dBm of output power. The active area of the test chip occupies only 0.65×0.65 mm 2 and the whole chip size including the ESD protection circuits and pads is 1.5×1.5 mm 2 .
On evaluation of spectrum estimators for EEG

In the search for how neonatal EEG is affected by asphyxia it is of importance to find reliable estimates of EEG power spectra. Several spectral estimation methods do exist, but since the true spectra are unknown it is hard to tell how well the estimators perform. Therefore a model to generate simulated EEG with known spectrum is proposed and the model is used to evaluate performance of several parametric and Fourier based spectral estimators.
Accuracy and multi domain piezoelectric power harvesting model using VHDL-AMS and SPICE

This paper presents a piezoelectric power harvesting model including both the mechanical and electrical domain. It includes a mechanical system, electrical interface, storage capacitor and load. Bridge rectifier, Parallel Synchronized Switch Harvesting on Inductor (P-SSHI) and Synchronous Electric Charge Extraction (SECE) circuits are analyzed as electrical interface. A mechanical system and control signals are implemented in VHDL-AMS and electronics components in SPICE. Simulation results and experimental data are compared to show the accuracy of the proposed model.
Bunyamwera Bunyavirus Nonstructural Protein NSs Counteracts the Induction of Alpha/Beta Interferon

ABSTRACT Production of alpha/beta interferons (IFN-α/β) in response to viral infection is one of the main defense mechanisms of the innate immune system. Many viruses therefore encode factors that subvert the IFN system to enhance their virulence. Bunyamwera virus (BUN) is the prototype of the Bunyaviridae family. By using reverse genetics, we previously produced a recombinant virus lacking the nonstructural protein NSs (BUNdelNSs) and showed that NSs is a nonessential gene product that contributes to viral pathogenesis. Here we demonstrate that BUNdelNSs is a strong inducer of IFN-α/β, whereas in cells infected with the wild-type counterpart expressing NSs (wild-type BUN), neither IFN nor IFN mRNA could be detected. IFN induction by BUNdelNSs correlated with activation of NF-κB and was dependent on virally produced double-stranded RNA and on the IFN transcription factor IRF-3. Furthermore, both in cultured cells and in mice lacking a functional IFN-α/β system, BUNdelNSs replicated to wild-type BUN levels, whereas in IFN-competent systems, wild-type BUN grew more efficiently. These results suggest that BUN NSs is an IFN induction antagonist that blocks the transcriptional activation of IFN-α/β in order to increase the virulence of Bunyamwera virus.
Robust Object Tracking Based on Collaborative Sparse Representation of Multifeature

It is inefficient when the target changes in pose variation, scale and partial occlusion. In this paper, a new target tracking algorithm with collaborative sparse representation of multifeature is proposed, which is based on the particle filter framework and sparse representation. Firstly, in the construction of the target template, both the fusion feature and HAAR features are used to describe the target, the appearance model of the tracked target is modeled by instantaneous and stable appearance features simultaneously. Then, a two-stage sparse-coded method which takes the spatial neighborhood information of the image patch and the computation burden into consideration is used to construct the tracking likelihood function of transient and stable appearance. Finally, the reliability of each tracker is measured by the tracking likelihood function, and the most reliable tracker is obtained by a well established particle filter framework. The templates library are incrementally updated based on the current tracking results. Experimental results show that the proposed method is robust to pose variation, scale change and partial occlusion.
CONTENT BASED IMAGE MINING THROUGH CORRELATIVE HISTOGRAM FEATURE SELECTION

In this paper, content-based image retrieval (CBIR) for content-based image mining is proposed. Here, an approach of image detection in a image dataset and an improved histogram based approach for Correlative Histogram Features named as Correlative Histogram based Coding (CR-HBC) is proposed. The proposed approach enhances the objective of processing noise and system overhead with respect to the representation and retrieval performance. The proposed approach executes an inter-class searching mechanism to localize the object model by discarding noise elements. Further, a histogram similarity model and a spectral domain feature representation are proposed. The experiments have been conducted on the benchmark datasets. The experimental results show that the processing resource overhead and retrieval efficiency are improved.
Switching panels for complete utilisation of battery banks in multi-level inverters for PV systems

Multi-level inverter are preferred choice for PV system applications for past decade because of its better harmonic profile and low dv/dt. Along with these advantage it suffers from power balancing issues which are caused by uneven partial shading. This paper proposes a technique to minimize the difference in discharge levels of upper and lower battery banks. The proposed topology involves selection of isolated panels through optimization by considering irregularity of roof top and worst case conditions. In addition, a control strategy is developed for switching isolated panels depending on difference in discharge levels. This topology makes the system to run longtime by complete utilization of battery banks. The proposed topology is verified using three level topology using cascaded bridge configuration accompanied by two battery banks in MATLAB/SIMULINK environment.
Real-Time Hazard Symbol Detection and Localization Using UAV Imagery

Unmanned Aerial Vehicle (UAV) technology is advancing at a fast pace following the strong rise in interest in its applications for a wide variety of scenarios. One of the promising use cases for UAVs is their deployment during emergency and rescue operations. Their high mobility, aerial viewpoint and flexibility to be operated autonomously are huge assets during crises. UAVs exist in a wide range when it comes to cost, and so do the sensors or accessories they can carry along as payload. During emergencies it may be beneficial to have several low-cost UAVs on site, as opposed to one highly sophisticated, fully-equipped aerial platform. This way more ground can be covered in a shorter span of time during search-and-rescue operations. The situation where a single UAV is on the ground to recharge its battery can also be avoided. In this paper, we present an architecture that identifies and locates objects of interest in real-time using low-cost hardware and a state of the art object detection algorithm. We avoid the use of expensive LIDAR sensors and UAVs, but still manage to determine the position of specific predefined objects in the field with high precision. Without augmenting our detection setup by using intelligent adaptive flight patterns, we can locate an object within 1.5m of its actual location at very low latency. Our detection chain delivers the result and its location in well under one second.
Speaker Identification And Verification Of Noisy-Echoed Speech Using Gaussian Mixture Models

— The two major applications of speaker recognition applications are speaker verification and speaker identification. But in most of the cases the signal is corrupted with background interferences such as noise and echo. This paper proposes the method of speaker recognition and identification after the noise separation and echo cancellation. Support vector machine(svm) classification based signal separation is adopted here and general kalman filter is used for echo cancellation. Adapted gaussian mixture models along with universal background model(ubm) is used for speaker verification and identification tasks.
Test generation for combinational circuits based on DNA computing

The aim of this paper is to illustrate the automatic test generation for combinational circuits based on DNA computing. In the algorithm the Chromosomes are encoded by the four bases of nucleic acid σ = {A,G,C,T} and the gene-class genetic manipulation is introduced to ensure the population diversity; In addition, the test set size produced by DNA chain is controlled at different stages of test generation so as to reduce the redundancy of test sets and accelerate the speed of test generation. The experimental results for benchmark circuit iscas'85 show that this algorithm can achieve high fault coverage and substantially reduce the size of test vector sets.
Wireless and Non-contact ECG Measurement System – the “Aachen SmartChair”

This publication describes a measurement system that obtains an electrocardiogram (ECG) by capacitively coupled electrodes. For demonstration purposes, this measurement system was integrated into an off-the-shelf office chair (so-called “Aachen SmartChair”). Whereas in usual clinical applications adhesive, conductively-coupled electrodes have to be attached to the skin, the described system is able to measure an ECG without direct skin contact through the cloth. A wireless communication module was integrated for transmitting the ECG data to a PC or to an ICU patient monitor. For system validation, a classical ECG with conductive electrodes and an oxygen saturation signal (SpO 2 ) were obtained simultaneously. Finally, system-specific problems of the presented device are discussed.
Design of a Ka-Band LNA for SoC space-based millimeter-wave radiometers

This paper presents the design of a Ka-band two-stage LNA for System-on-Chip (SoC) space-based radiometers. The circuit features proper self-adaptive compensation to achieve robustness against temperature variations. The technology selected is a 250nm SiGe BiCMOS technology from IHP foundry. This selection is motivated by the space qualification of the above process, which is under development at IHP. An automatic design procedure for inductors has been developed on purpose. Preliminary simulations of the designed LNA show a conversion gain of 24 dB at 31.4 GHz with a noise figure of 3.5 dB. The obtained sensitivity is very promising for total power radiometric applications.
Analysis of very long distance AC power transmission line

At present, there is, an imbalanced power distribution to load from resources and also Electric shortages are regular in some countries. This article illustrates the Long-Distance Transmission Line technologies to overcome the above problems. It is mainly visualized in two ways — UHV AC and UHV DC Transmission Line. Under UHV AC Transmission Line, there are many technologies to analyze the system. Whereas, UHV DC Transmission Line is used to transmit the DC power. The different types of frequency multipliers are used in half-wavelength tuned AC Transmission Line. MATLAB is the soft ware use to analyze the test system.
Strong microwave electric field reached by a high power wideband amplifier for automotive application

Many automotive standards impose to generate high electric fields in microwave frequency bands. In this paper we present a microwave application developed for an automotive laboratory. The focus on the microwave amplifiers gives some specific solutions to reach the Ford and the requirements according to the Standard Specifications. The frequency range addressed is from 0.8 GHz to 4 GHz with an average output power up to 800 Watts for linear operation and up to 1000 Watts in saturation.
A supply insensitive resistor-less bandgap reference with buffered output

This paper describes a bandgap reference that doesn't use resistors or operational amplifiers. The circuit uses ratioed transistors in strong inversion with the inverse function technique to develop a voltage, proportional to the absolute temperature term of the reference. With the low-output impedance at the output, this reference voltage can drive resistive loads. Unlike its predecessor, this circuit's performance doesn't degrade with variations in supply voltage. The bandgap was designed on a 0. 6μm process and the corresponding BSIM3 (V3.2) models are used.
Wireless Phase - Locked Loop control for inductive Power Transfer Systems

Power transfer and efficiency maximization are the main aims in Inductive Power Transfer Systems (IPTSs) control. Misalignment between the magnetically coupled coils is inevitable in real life conditions and its impact in the power transfer capability of such systems is significant. This work presents a simple, yet robust technique for real-time, wireless tracking of the optimal operational frequency of an IPTS under different coupling conditions. The control is implemented by a Phase-Locked Loop (PLL). The phase of the load current signal is optically transmitted to the primary, where the PLL synchronizes the inverter output voltage to that signal. Experimental results on a secondary-side series compensated and a series-series compensated IPTS prototype show fast and accurate response, unaffected by bifurcation phenomena.
A novel high-Qu octave-tunable resonator with lumped tuning elements

This paper presents a novel design of high-quality factor (Qu) continuously-tunable resonator compatible with standard PCB fabrication technology. The proposed resonator is tuned by lumped element varactors placed on the top surface of a substrate-integrated evanescent-mode cavity, thus significantly reducing the complexity of integration without sacrificing Qu. The proposed design approach is compatible with a variety of tuning elements, including solid-state, ferroelectric, and RF-MEMS varactors. A tunable resonator with solid-state varactors is demonstrated to validate this design approach. The resonator surpasses the state-of-the-art with a frequency tuning range of 0.5-1.2 GHz (tuning ratio of 2.4 : 1) and Qu of 82-197. An RF-MEMS varactor enabled tunable resonator based on the same design further shows Qu of 240 at 6.6 GHz.
A Real Time Window-Based Local Call Admission Control Algorithm for IP Networks

We propose and evaluate a real-time window-based local call admission control algorithm (RWBLAC) for achieving quality of service in IP networks. RWBLAC utilizes a real time traffic measurement and variation of window based techniques traffic policing for QoS admission decisions. This real time fashion based on actual arrival rate make this research distinct form all other using predefined threshold. We use simulation to evaluate the link utilization and adherence to service commitment that could be achieved by RWBLAC, and to compare the performance of its diverse implementation options.
Time-Domain Simulation of CMOS Output Buffer with LECCS-I/O Model and Time-Variant Linear Switches

A new modeling technique is proposed to achieve fast time-domain simulation of digital circuits. A nonlinear switching device is modeled as a time-variant linear circuit, and the state equation is converted into a linear equation. As an example, transient waveform simulation is demonstrated with a simple model of a CMOS output buffer. Once the state transition matrix for the device is calculated, then simulation for different conditions can be performed in linear calculation.
Analyzing Partially Exchangeable Data

In this article, we propose a procedure to analyze partially exchangeable data which can also be viewed as realizations of mixtures of Markov chains. We present four constructive methods to give a rich class of parsimonious Markov chain mixtures resulting from rectangular complete monotonic functions. The class is shown to be closed under convex linear combinations, products, and composites. We provide a forward model selection method. Our procedure has mathematically simple and computationally feasible. We apply the proposed procedure to analyze two real datasets from dairy and medical sciences and have obtained superior results.
A connectionist architecture for sequential symbolic domains

This report describes a connectionist architecture specifically intended for use in sequential domains requiring symbol manipulation. The architecture is based on a network formalism which differs from other connectionist networks developed for use in temporal/sequential domains. Units in this formalism are updated synchronously and retain partial activation between updates. They produce two output values: the standard sigmoidal function of the activity and its velocity. Activation flowing along connections can be gated by units. Well-behaved symbol buffers which leam complex assignment behavior can be constructed using gates. Full recurrence is supported. The network architecture, its underlying formalism, and its performance on an incremental parsing task requiring non-trivial dynamic behavior are presented. This research was funded by grants from ATR Interpreting Telephony Research Laboratories and the National Science Foundation under grant number EET-8716324. The views and conclusions contained in this document are those of the author and should not be interpreted as representing the official policies, either expressed or implied, of ATR, NSF, or the U.S. Government
Darryl Wieland Through " Multiple Chronic Conditions : " Nobody Rushes You Comprehensive Primary Care for Older Patients

Supplementary material http://jama.ama-assn.org/cgi/content/full/304/17/1936/DC1 eTable Correction Contact me if this article is corrected. Citations Contact me when this article is cited. This article has been cited 1 time. Topic collections Contact me when new articles are published in these topic areas. Medicine; Quality of Care; Quality of Care, Other; Quality of Life Aging/ Geriatrics; Medical Practice; Medical Practice, Other; Primary Care/ Family
Osmo-responsive expression of oyster amino acid transporter gene and analysis of the regulatory region involved

To elucidate the involvement of amino acid transporter in osmotic adaptation of oysters, the expression of the amino acid transporter gene in response to environmental osmotic changes was investigated. As expected, the expression of the amino acid transporter gene was increased by hyper-osmotic stress, probably to elevate intracellular osmolality. Unexpectedly, the expression was also increased by hypo-osmotic stress, and the level of expression was higher than that induced by hyper-osmotic stress. To identify the region regulating the expression of the oyster amino acid transporter gene in response to changes in environmental osmolality, the 5′-flanking region of approximately 2.3 kb upstream from the translation start site was cloned. Expression vectors with luciferase as a reporter gene driven by 5′-flanking regions with different lengths were constructed and their promoter activities were compared. As a result, the osmo-responsive regulatory region responding to osmolality by both hyper- and hypo-osmolality was found within 132 bp from the transcription start site.
Learning Models for Opinion Mining Over a Fundamental Analysis Corpus

This paper presents a comprehensive survey of the methodologies and techniques used in opinion mining. Opinion mining, also known as sentiment analysis, refers to the use of natural language processing, text analysis, and computational linguistics to identify and extract subjective information from a variety of source materials. In this paper, we provide historical background and insight to the evolution of methodologies that compose the cutting edge techniques in sentiment analysis. Our goal in completing this survey is to compare the field’s techniques in order to establish and propose a best fit model for the mining of opinions within a financial news corpus. Based on results gathered from this research, we establish a method to accurately [16] extract sentiment from qualitative fundamental analysis text using Recursive Neural Tensor Networks [3] (RNTNs) along with phrase-level assessments of our corpus. In future work, we aim to use this proposed model to capture sentiment from our corpus at a topic level in order to assess and estimate the dynamic feedback effect of news in markets and sectors.