Miracle-dz/UniFAR-FTUs huggingface dataset:
MULTIPLE ALIGNMENT FOR AMINO ACID SEQUENCES BY DYNAMIC PROGRAMMING

Alignment is the most important operation in comparing the amino acid sequences of biological species. The computational complexity for the alignment when dynamic programming is used is O(LN), where L is the length of the sequence and N is the number of sequences; it is tremendous when N is increased. It should be noted, however, that the obtained solution is usually close to the diagonal of the lattice graph of dynamic programming, and the path seldom goes through a lattice point far away from the diagonal. This paper describes a method of improving computational efficiency for alignment, by predicting the number of gaps (deletion of amino acids) in the alignment solution, and deleting the lattice points except for the neighborhood of the diagonal by utilizing the result of prediction. © 1998 Scripta Technica. Electron Comm Jpn Pt 3, 81(4): 12–20, 1998
Contactless Induction Method for Electric Resistivity Measurement

A new absolute method is developed for measuring electric resistivity in the range of 10−8 to 10+8 Ω cm of a sample of almost arbitrary shape. This method takes into account the effect of self‐induced conduction and polarization current. Measurements are made with the specimen placed in a constant rotating magnetic field in such an orientation that it experiences maximum torque and has minimum moment of inertia. This can be shown to be the same orientation for which, if the specimen were free to rotate, it would reach the angular velocity of the rotating field in minimum time. This method is applicable to homogeneous and isotropic conducting materials in both solid and liquid states, including ferromagnetic substances. The mathematical formula for the measured torque is developed and the technique for measuring electric resistivity is explained.
Moment T-matrix approach to e+ -H scattering. II. Elastic scattering and total cross section at intermediate energies

Elastic amplitudes for ${e}^{+}$-H scattering are calculated for positron energies from 0.25-1.15 a.u. (\ensuremath{\sim}7-34 eV), an energy range where pickup and impact-ionization channels are open. These amplitudes are used to calculate the elastic ${e}^{+}$-H cross section, and assuming unitarity, the total ${e}^{+}$-H scattering cross section.
Mössbauer spectroscopy of amorphous Fe–Si–B alloys with different free volume content

The hyperfine field distributions of as‐cast and annealed Fe81.5Si4B14. 5 amorphous alloys prepared with different quenching rates have been measured at room temperature by means of Mossbauer spectroscopy. No significant differences have been found between the spectra of as‐cast materials produced at different quenching rates, in contrast with the results of measurements of the electrical resistivity and the magnetic permeability aftereffect. This result indicates that the variation of the distribution of pressure–density fluctuations in differently quenched systems does not modify the value of the hyperfine field, which is rather dominated by the effect of the local magnetic disorder, and not substantially influenced by small variations of the quenching rate. The hyperfine field distributions of annealed ribbons are coherently shifted towards higher values with respect to the ones of as‐cast alloys. This result is related the increase of the Curie temperature, observed in these alloys after annealing, and.
Object Tracking Algorithm Based on Block LAB Feature Histogram and Particle Filter

In order to improve real-time object tracking effect when tracking objects are partly covered or mixed by different backgrounds, and even under the conditions of changed illuminations, in this paper, we proposed an object tracking algorithm based on block LAB feature histogram and particle filter. To demonstrate new algorithm’s excellent performance, we carried several compared experiments when objects moved under different conditions such as changed illuminations, mixed backgrounds and so forth. Experiment results show that tracking objects are often lost by using tracking algorithm based on traditional features such as color histogram, but moving objects under various and complex environments could be correctly tracked by using real-time tracking algorithm proposed in this paper.
New BFGS method for unconstrained optimization problem based on modified Armijo line search

In this article, a class of nonconvex unconstrained optimization problems is considered. As the Armijo line search is less costing in finding a steplength, a new Armijo-type line search (called WALS) with desirable features of the Wolfe condition is employed in the proposed modified BFGS method. A new updating formula incorporated with WALS is constructed and generates approximate Hessian matrices which are positive definite. On this basis, a class of well-defined modified BFGS algorithms is developed. It shows that under some suitable conditions, the modified BFGS algorithm is globally convergent. Numerical experiments are carried out on 20 benchmark test problems and the obtained results clearly indicate the effectiveness of the developed algorithm over two most popular BFGS-type algorithms available in the literature.
Performance of Cellular Networks on the Wheels

After 4 years of rapid deployment in the US, 5G is expected to have significantly improved the performance and overall user experience of mobile networks. However, recent measurement studies have focused either on static performance or a single aspect (e.g., handovers) under driving conditions of 5G, and do not provide a complete picture of cellular network performance today under driving conditions - a major use case of mobile networks. Through a cross-continental US driving trip (from LA to Boston, 5700km+), we conduct an in-depth measurement study of user-perceived experience (network coverage/performance and QoE of a set of major latency-critical 5G "killer'' apps) To understand the root cause of the observed network performance, while collecting low-level 5G statistics and signaling messages. Our study shows disappointingly low coverage of 5G networks today under driving and highly fragmented coverage by cellular technologies. More importantly, network and application performance are often poor under driving even in areas with full 5G coverage. We also examine the correlation of technology-wise coverage and performance with geo-location and the vehicle's speed and analyze the impact of a number of lower layer KPIs on network performance.
Poster: SmartX BGP BVT: A First Real-Time BGP Blackholing Visibility Tool

BGP Blackholing is an effective mitigation solution for networks to counter the frequent Distributed Denial of Service (DDoS) attacks. It enables to drop all network traffic that is directed towards a particular victim prefix under DDoS attack, ideally, as close to the source as possible. Despite its huge importance in the Internet, there is no tool available for the real-time visualization of BGP Blackholing activity. Visualization is one of the most powerful techniques for network operators to monitor network activity. From discovering successful network topology to expose anomalous behaviors in networks, easy-to-use visualizations are powerful weapons to capture important patterns on the Internet traffic[1, 5]. In this work, we propose a first real-time BGP Blackholing Visibility Tool (named as SmartX BGP-BVT) to detect and visualize community based BGP Blackholing on live BGP data. This tool will be helpful for network operators and researchers interested in BGP Blackholing service and DDoS mitigation in the Internet. Analysis of BGP Blackholing on BGP datasets and its significant usage rate is highlighted in the literature [2, 3]. Community based BGP Blackholing enables with the help of BGP community attribute. So, for the monitoring of BGP Blackholing activity, first, we need to collect all BGP Blackhole communities from the Internet. Today, many networks including ISPs and IXPs offer BGP Blackholing service to their customers, and they publish their corresponding BGP Blackhole communities either on their official Web pages or in their Internet Routing Registry (IRR) records. By following Giotsas et al. [3] methodology, we make BGP Blackhole communities dictionary that is described in detail in our previous work [2]. To the best of our knowledge, SmartX BGP BVT3 is the first real-time BGP Blackholing Visibility Tool which visualizes community-based BGP Blackholing with the help of Blackhole Communities Dictionary. However, real-time BGP Blackholing visualizations are helpful for measuring the current adoption rate of this mitigation solution and also can serve as a proxy for identifying DDoS attacks.
The Edible Insect Gryllus bimaculatus Protects against Gut-Derived Inflammatory Responses and Liver Damage in Mice after Acute Alcohol Exposure

Accumulation of reactive oxygen species (ROS) in response to excess alcohol exposure is a major cause of gut barrier disruption and lipopolysaccharide (LPS)-induced hepatic inflammation, as well as liver steatosis and apoptosis. This study was designed to investigate protective effects of the cricket Gryllus bimaculatus, an edible insect recognized by the Korea Food and Drug Administration, against acute alcoholic liver damage in mice. Administration of G. bimaculatus extracts (GBE) attenuated alcohol-induced steatosis and apoptotic responses in the liver and intestinal permeability to bacterial endotoxin. These protective effects were associated with suppression of ROS-mediated oxidative stress in both the liver and small intestine. Furthermore, in vivo and in vitro studies revealed that GBE inhibits LPS-induced Kupffer cell activation and subsequent inflammatory signaling. Importantly, the protective effects of GBE were more potent than those of silymarin, a known therapeutic agent for alcoholic liver diseases.
The continuing drama of the semiconductor interface

Studies on III—V compound semiconductor surfaces and metal interfaces are discussed. For GaAs and InP surfaces aqueous photowashing or chalcogenide coatings can significantly reduce surface state densities. For metal interfaces experimental conditions have been found which lead to metal work function dominated Schottky barrier heights to GaAs. Finally, using special epilayer samples of GaAs, AlGaAs and InGaAs containing a significant excess of As, more has been learned about the origin of the invariance of the interface Fermi level (pinning) commonly observed at III—V semiconductor interfaces. The excess As can form either a high density of point defects or a dispersion of elemental As clusters depending on the post growth annealing conditions. It has been found that the pinning effects of point defects are qualitatively different from those due to the clusters of elemental As. Specifically, when the excess As is in the form of As precipitates, the As forms a Schottky barrier whose barrier height is well characterized by the parameters of As work function and semiconductor electron affinity.
Predicting stroke outcome using DCE-CT measured blood velocity

CT plays an important role in the diagnosis of acute stroke patients. Dynamic contrast enhanced CT (DCE-CT) can estimate local tissue perfusion and extent of ischemia. However, hemodynamic information of the large intracranial vessels may also be obtained from DCE-CT data and may contain valuable diagnostic information. We describe a novel method to estimate intravascular blood velocity (IBV) in large cerebral vessels using DCE-CT data, which may be useful to help predict stroke outcome. DCE-CT scans from 34 patients with isolated M1 occlusions were included from a large prospective multi-center cohort study of patients with acute ischemic stroke. Gaussians fitted to the intravascular data yielded the time-to-peak (TTP) and cerebral-blood-volume (CBV). IBV was computed by taking the inverse of the TTP gradient magnitude. Voxels with a CBV of at least 10% of the CBV found in the arterial input function were considered part of a vessel. Mid-sagittal planes were drawn manually and averages of the IBV over all vessel-voxels (arterial and venous) were computed for each hemisphere. Mean-hemisphere IBV differences, mean-hemisphere TTP differences, and hemisphere vessel volume differences were used to differentiate between patients with good and bad outcome (modified Rankin Scale score <3 versus ≥3 at 90 days) using ROC analysis. AUCs from the ROC for IBV, TTP, and vessel volume were 0.80, 0.67 and 0.62 respectively. In conclusion, IBV was found to be a better predictor of patient outcome than the parameters used to compute it and may be a promising new parameter for stroke outcome prediction.
VV Puppis - The soft X-ray machine

The detection of soft and hard X rays from VV Pup is reported, and an orbital light curve is presented for both. The light curves are found to be in good agreement with the orbital light curve observed in the optical (Warner and Nather, 1972), suggesting that both X rays and optical light arise from the vicinity of a bright spot near one magnetic pole of the white dwarf. The radius of the soft X-ray-emitting bright spot is in the range 20-120 km, and its temperature is in the range (2-6) x 10 to the 5th K. The observed ratio of soft X-ray to hard X-ray fluxes is approximately 15, the highest of all the AM Her stars.
Identification of brain connectivity disruptions due to thalamic lesions in early development using Diffusion-Weighted MRI

Continuous spike-wave of sleep (CSWS) is an age-related epileptic syndrome with an unknown mechanism of action, that affects mainly children. Nevertheless, thalamic lesions have been demonstrated to be the most common etiology. Recently, a model was proposed for the genesis of CSWS in patients with thalamic lesions that consists of a thalamo-cortical disconnection producing a pathological sleep-stage-dependent synaptic plasticity, named augmenting response during the non-rapid eye movement (non-REM) sleep stages, which leads to CSWS. Diffusion-weighted imaging (DWI) is a technique sensitive to the microstructural organization of the tissues, that has been widely used to map the white matter pathways of the brain. It also enables to parcellate brain structures according to its connectivity profile, in a method known as connectivity-based parcellation. Parcellation of the thalamus was carried out in four infants with CSWS associated with strictly unilateral thalamic lesions; the aim was to infer on the structural connectivity of the different thalamic nuclei with the cortex and identify asymmetries between the healthy and lesioned hemispheres. Electroencephalogram (EEG) and functional magnetic resonance imaging (fMRI) data were also used to support the interpretations made. The asymmetries in thalamocortical connectivity were consistent with the distribution of epileptic events observed on the EEG, supporting the hypothesis of a partial disruption of thalamic inputs to the cortex being responsible for the genesis of epileptic activity, in CSWS patients with thalamic lesions.
THE DESIGN AND TESTING OF FILTER-DETECTOR SYSTEMS USING SYNTHETIC PHOTOMETRY

Synthetic photometry is applied to the problem of designing a filter set that, when combined with a CCD, provides photometry that can be transferred to the Johnson (1955) UBV and the Kron-Cousins (1976) VRI systems. A filter set with transformation coefficients less than 0.07 is developed. The color and magnitude residuals from the synthetic photometry show that the transformations are linear over the color ranges, (B-V) between 0.0 and 1.4, (V-R) between 0.0 and 1.0, and (R-I) between 0.0 and 0.8.
NEW DUAL-BAND BANDPASS FILTER WITH WIDE UPPER REJECTION BAND

A new circuit structure is proposed for design of dual- band bandpass fllters with a wide upper stopband. The unit cell of the circuit consists of two two-port networks in shunt connection; one is a coupled-line section of ‚/4 long followed by a transmission line segment of identical length, and the other has the same elements but cascaded in reverse order, where ‚/4 is the wavelength at arithmetic mean frequency of the two passbands. Higher-order circuits can be obtained by directly cascading two or more such cells and show improved frequency selectivity. In addition to on both sides of the passbands, transmission zeros are also created in the rejection bands. Analysis of the unit cell circuit is formulated by the transmission line theory, and design curves for one- and two-cell circuits are provided. In realization, interdigital capacitors are incorporated with the ‚/4 coupled sections for compensating the efiect of unequal modal phase velocities on the fllter performance in the rejection band. Two circuits are fabricated and measured to validate the analysis.
Integrating flexible tree searches to orthogonal matching pursuit algorithm

The orthogonal matching pursuit (OMP) algorithm employs an overcomplete dictionary in an adaptive nonlinear process for signal decomposition. An efficient tree-search-based OMP algorithm is considered for sparse signal representations, namely the flexible tree-search-based OMP (FTB-OMP). The algorithm makes use of an extended tree-search structure for finding good approximations. It allows a tradeoff between approximation performance and experimental time complexity by providing various design parameters. The efficiency is achieved by reducing the number of children as the depth of nodes increases via the exponentially decaying characteristics of the search algorithm. Further time efficiency is achieved by using a correlation-based pruning in the search tree. Through the use of the design parameters, FTB-OMP offers numerous variations that range from OMP to optimum solution. It is experimentally verified that a good approximation performance can be achieved by the exponentially decaying tree structure of FTB-OMP with much lower time complexity. This is shown for several signals and for the component detection problem. As an application example, the angle-of-arrival estimation problem is considered.
The metal–poor end of the Spite plateau: gravity sensitivity of the Hα wings fitting.

Abstract We recently presented (Sbordone et al., 2009a) the largest sample to date of lithium abundances in extremely metal-poor (EMP) Halo dwarf and Turn-Off (TO) stars. One of the most crucial aspects in estimating Li abundances is the Teff determination, since the Li I 670.8 nm doublet is highly temperature sensitive. In this short contribution we concentrate on the Teff determination based on Hα wings fitting, and on its sensitivity to the chosen stellar gravity.
Improved video image by pixel-based learning for super-resolution

In recent years, the resolution of display devices has been extremely increased. The resolution of video camera (except very expensive one), however, is quite lower than that of display since it is difficult to achieve high spatial resolution with specific frame rate (e.g. 30 frames per second) due to the limited bandwidth. The resolution of image can be increased by interpolation, such as bi-cubic interpolation, but in this method it is known that the edges of image are blurred. To create plausible high-frequency details in the blurred image, super-resolution technique has been studied for a long time. In this paper, we proose a new algorithm for video super-resolution by considering multi-sensor camera system. The multi-sensor camera can capture two types video sequence as follow; (a) high-resolution with low frame rate luminance sequence, (b) low-resolution with high frame rate color sequences. The training pairs for super-resolution are obtained from these two sequences. The relationships between the high- and low-resolution frames are trained using pixel-based feature named "texton" and stored in the database with their spatial distribution. The low-resolution sequences are then represented with texton and each texton is substituted by searching the trained database to create high-resolution features in output sequences. The experimental results showed that the proposed method can well reproduce both the detail regions and sharp edges of the scene. It was also shown that the PSNR of the image obtained by proposed method is improved compared to the image by bi-cubic interpolation method.
PHOTOMETRIC SOLUTION AND FREQUENCY ANALYSIS OF THE oEA SYSTEM EW BOO

We present the first photometric solution and frequency analysis of the neglected oscillating Algol-type (oEA) binary EW Boo. B- and V-band light curves of the star were obtained on 11 nights in 2014. Using the Wilson–Devinney code, the eclipsing light curves were synthesized and the first photometric solution was derived for the binary system. The results reveal that EW Boo could be a semi-detached system with the less-massive secondary component filling its Roche lobe. By subtracting the eclipsing light changes from the data, we obtained the intrinsic pulsating light curves of the hotter, massive primary component. Frequency analysis of residual light shows multi-mode pulsation with the dominant period at 0.01909 days. A preliminary mode identification suggests that the star could be pulsating in non-radial (l = 1) modes. The long-term orbital period variation of the system was also investigated for the first time. An improved orbital period and new ephemerides of the eclipsing binary are given. The O − C ? > analysis indicates a secular period increasing at a rate of dP / dt = 2.9 × 10 − 7 days yr − 1 ? > , which could be interpreted as mass transfer from the cooler secondary to the primary component.
Long-range detection of VLF radiation produced by heating the auroral electrojet

This paper presents the first evidence of long-range detection (>1000 km) of calibrated VLF signals resulting from the HF heating of the auroral electrojet, that is, signal detection at a point of direct “line of sight” of the heated patch of ionosphere. Other workers have presented calibrated data from shorter ranges (190–550 km) or claimed the detection of uncalibrated signals at ranges greater than 6000 km, but we believe that no such calibrated and clear signals, like those presented here from a range of greater than 2000 km, have previously been reported. Also, in contrast to earlier long-range detection experiments we record the “radial” as well as the “azimuthal” magnetic component of the signals and from their ratio obtain the waveguide mode polarization. Observed absolute magnetic field strengths and waveguide polarizations are found to be in line with the predictions of simple waveguide models.
A Machine Learning Approach for Detecting Distributed Denial of Service Attacks

This research aims to present the method for identifying distributed denial of service (DDoS) attacks. Two benchmark dataset, including KDD CUP 1999 and NSL-KDD, were used. The dataset were checked and deleted duplicate data. After the process, the amount of records of KDD Cup 1999 dataset were decreased from 4,898,431 records to 529,655 records, and the amount of records of NSL-KDD dataset were decreased from 125,373 to only 12,354 records. The reduction of the records always happened because of the characteristics of DDoS attacks which send repeated data to the victims’ server. The researchers converted alphabet data to numeric data, then training by K-nearest neighbor (KNN), multi-layer perceptron and support vector machine. The result showed that KNN was the best method to identify the DDoS attacks.