Miracle-dz/UniFAR-FTUs huggingface dataset:
Real-time parameter estimation for SAR moving target based on WVD slice and FrFT

Most synthetic aperture radar (SAR) applies to static targets while moving targets appear unfocused in SAR images. To obtain clear images of moving targets, the Doppler parameter estimation is critical in SAR processing. However, most of the time–frequency analysis methods cannot simultaneously meet the requirements of accuracy and real time. A real-time parameter estimation algorithm based on Wigner–Ville distribution (WVD) slice and fractional Fourier transform (FrFT) is proposed. In this algorithm, the Doppler frequency rate is roughly estimated through the observed signal's WVD slices first. Then, its corresponding FrFT rotational angle is deduced and the search region is determined. Next, Doppler parameters can be accurately estimated by FrFT under the premise of reducing the computational complexity. Three reasonable choices of the slice positions are given and their estimation results are explained. SAR real data processing results indicate that the proposed algorithm can estimate Doppler parameters quickly and effectively while ensuring accuracy and providing a new way for SAR real-time parameter estimation. Finally, motion compensation in accord with the estimated parameters is also completed and focused images of several moving ship targets are obtained.
THE EFFECTIVENESS OF COMMUNICATIVE LANGUAGE TEACHING ON STUDENTS’ ENGLISH READING COMPREHENSION

People from non-native English speaking countries usually encounter the issue of learning and appropriately using the English language. It is an important to have higher acquaintance with the English language since most of the curriculums are designed and imparted in English. The non-native English speaking countries persistently put efforts to improve the English learning levels through innovative pedagogies. The study reports the results of an intervention for improving the reading comprehension skills. The study aimed to examine the effectiveness of communicative English language teaching program on students’ reading comprehension skills. To achieve the intended objectives, a non-equivalent pre-test, post-test quasi-experimental design was employed. The participants were the first year law students in two classes at the University of Gondar. The principle of randomization was applied and the groups were categorized as experimental and control groups. The intervention was carried out for two months of the academic year 2017. It was hypothesized that the students taught through communicative language teaching instruction would improve their reading comprehension skills better than those doesn't had this exposure. An English reading achievement test was developed and employed to assess the pre and post intervention levels. The validity and reliability of the research instruments were statistically measured and found the fit. The intervention programme was focussed on different aspects of reading comprehension. The data were analyzed using appropriate statistical tests. Results indicate that the reading comprehension skills score of the experimental group improved significantly and to an extent greater than the control group due to the treatment. Hence, the present study strongly recommends that instructors should employ communicative language instruction at University level for teaching EFL reading lessons. The results of the present study underline the implications of focussed interventions for the improvement of core language skills. The results show that communicative language teaching through a well-designed student-centric program based on the procedures and principles of Communicative Language Teaching improved the students‟ reading skills better than that of the conventional method of teaching. Hence, in the experimental group, there was an improvement of students' reading skills from pre to post-test than the control group due to the treatment. The implications of the present study urge the need for change in the conventional methods of teaching in which the students are merely at the receiving end than their role as an active participant in the learning process.
Classical and Quantum Gravity

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The B ! D l m l decays in the pQCD approach with the Lattice QCD input

In this paper, we studied the semileptonic decays B ! D ð(cid:2)Þ l (cid:3) (cid:2) m l by using the ‘‘pQCD ? Lattice QCD’’ method. We made the extrapolation for the six relevant form factors by using the input values obtained from the pQCD factorization approach in the low q 2 region of 0 (cid:4) q 2 (cid:4) m 2 s and the lattice QCD input at the endpoint q 2 ¼ q 2max . We then calculated the ratios R ( D ) and R ð D (cid:2) Þ of the branching ratios Bð B ! D ð(cid:2)Þ l (cid:3) (cid:2) m l Þ and found numeri-cally that (1) the ‘‘pQCD ? Lattice QCD’’ predictions for the branching ratios Bð B ! D ð(cid:2)Þ l (cid:3) (cid:2) m l Þ agree well with the measured values within one standard deviation; and (2) the ‘‘pQCD ? Lattice QCD’’ predictions for the ratios R ð D ð(cid:2)Þ Þ are R ð D Þ ¼ 0 : 337 þ 0 : 038 (cid:3) 0 : 037 and R ð D (cid:2) Þ ¼ 0 : 269 þ 0 : 021 (cid:3) 0 : 020 ; they agree with the data within 2 r deviation, in other words, one can explain the ‘‘ R ð D ð(cid:2)Þ Þ -puzzle’’ in the framework of the Standard Model.
Identification of evolutionary and kinetic drivers 1 of NAD-dependent signalling 2

signaling turnover by preventing accumulation of inhibitory Nam. This 22 unexpected kinetic interplay between NamPT and NNMT needs to be considered in therapeutic strategies 23 targeting these enzymes. Abstract NAD provides an important link between metabolism and signal transduction and has emerged as central 26 hub between bioenergetics and all major cellular events. NAD-dependent signalling, e.g. by sirtuins and 27 PARPs, consumes considerable amounts of NAD. To maintain physiological functions, NAD consumption 28 and biosynthesis need to be carefully balanced. Using extensive phylogenetic analyses, mathematical 29 modelling of NAD metabolism and experimental verification, we show that the diversification of NAD- 30 dependent signalling in vertebrates depended on three critical evolutionary events: i) the transition of NAD 31 biosynthesis to exclusive usage of nicotinamide phosphoribosyltransferase (NamPT); ii) the occurrence of 32 nicotinamide N-methyltransferase (NNMT), which diverts nicotinamide (Nam) from recycling into NAD, 33 preventing Nam accumulation and inhibition of NAD-dependent signalling reactions and iii) structural 34 adaptation of NamPT, providing an unusually high affinity towards Nam, necessary to maintain NAD 35 levels. Our results reveal an unexpected co-evolution and kinetic interplay between NNMT and NamPT 36 that enables extensive NAD signalling. This has implications for therapeutic strategies of NAD 37 supplementation and the use of NNMT or NamPT inhibitors in disease treatment.
The survival rate of extremely low birth weight infants improved in Guangdong Province, China

Background With the increase in extremely low birth weight (ELBW) infants, their outcomes received special attention. However, in China, studies of the outcomes of ELBW infants are rare. The hospitalized records of ELBW infants discharged from twenty-six neonatal intensive care units were reviewed and analyzed. A total of 2575 ELBW infants were enrolled and the overall survival rate was 55.11%. From 2008 to 2017, the number of ELBW infants increased rapidly from 91 to 466, and the survival rate improved steadily from 41.76–62.02%. The survival rate rose with increasing BW, the ascending level of regional economic development and specialist hospitals. The incidence of complications was neonatal respiratory distress syndrome (85.2%), bronchopulmonary dysplasia (63.7%), retinopathy of prematurity (39.3%), intraventricular hemorrhage (29.4%), necrotizing enterocolitis (12.0%), and periventricular leukomalacia (8.0%). Among the 1156 nonsurvivors, 90.0% of infants died during the neonatal period ( ≤ 28 days), and the other died after the neonatal period. A total of 768 ELBW infants died after medical care withdrawal, with economic factors and expected outcome being important causes. The number of ELBW infants is increasing in China, and the overall survival rate is still low but is improving steadily. association) showed that the annual survival rate of ELBW infants improved from 2008 to 2017 (P(cid:0)0.001). ELBW: Extremely low birth weight.
Title: Mcidas and GemC1/Lynkeas are key regulators for the generation of multiciliated ependymal cells in the adult neurogenic niche.

Multiciliated cells are abundant in the epithelial surface of different tissues, including cells lining the walls of the lateral ventricles in the brain and the airway epithelium. Their main role is to control fluid flow and thus defects in their differentiation were implicated in many human disorders such as hydrocephalus, accompanied by defects in adult neurogenesis and mucociliary disorder in the airway system. Here we show that Mcidas, which was mutated in human mucociliary clearance disorder and GemC1/Lynkeas, previously implicated in cell cycle progression, are key regulators of multiciliated ependymal cells generation in the brain. Overexpression and knock down experiments show that Mcidas and GemC1/Lynkeas are sufficient and necessary for cell fate commitment and differentiation of radial glial cells to multiciliated ependymal cells. Furthermore, we show that GemC1/Lynkeas and Mcidas operate in hierarchical order, upstream of Foxj1 and c-Myb transcription factors, known regulators of ependymal cell generation, while Notch signaling is inhibiting their function. Our results suggest that Mcidas and GemC1/Lynkeas are key players for the generation of multiciliated ependymal cells of the adult neurogenic niche. These results indicate that loss of radial glial characteristics of periventricular cells and the ectopic increase of Foxj1 and Mcidas expressing cells that was observed upon GemC1/Lynkeas or Mcidas overexpression is inhibited when Notch is co-overexpressed, suggesting that Notch pathway reduces GemC1/Lynkeas and Mcidas ability to promote RGCs commitment to the ependymal cell lineage. consist Mcidas or GemC1/Lynkeas expressing plasmids and analyzed five days later by using anti-GFP and antibodies against Ki67, of cycling
DOCKING, SYNTHESIS AND EVALUATION OF ANTIOXIDANT ACTIVITY OF 9-(PIPERAZIN-1-YL) ACRIDINE DERIVATIVES FROM 2-[(4-METHYL-2-NITROPHENYL) AMINO]BENZOIC ACID

A series of nitrogen-containing heterocyclic compounds such as substituted 9-(piperazin-1-yl) acridine derivatives were synthesized by [(4-Methyl-2-nitrophenyl) amino] benzoic acid, phosphorus oxychloride, piperazine, dichloro methane evaluated for their antioxidant activity by DPPH method. Among the screened compounds, electron rich acridine exhibited significant antioxidant activities . The in vitro . Molecular docking results shows that the compound CP-05( 2-methyl -4-nitro-9-[(4-benzyl) piperazin-1-yl] acridine ) shows siginificant anti oxidant activity than compare with the standard compound α-Tocopherol. In all the synthesized compounds, CP-05 shows best binding energy and IC 50 value -9.27 Kcal/mol and 155.03 nano molar concentration respectively. The compound CP-05 shows molecular interactions like H-Bonds ASN10; ASN59; GLY60 and Pi-Bonds at ASP27; ASN59; PRO89; ALA92; PRO187. The ADME results of the compounds obeys Lipinski rule of five and the compounds shows the low Mutagenic and no toxicity shows on Tumerogenic, Effect on Reproductive system, Eye
Regularity Analysis Using Bollinger Band Method

- Regularity is one of the main features for many Patterned texture material inspection. This paper shows the new approach called Bollinger Band (BB) method which is used to outline the shape of the defective region. In the proposed method the Bollinger Band is calculated based on standard deviation and moving average. The Bollinger Band method is shift invariant approach and hence immune of the alignment. In this paper the upper Bollinger band and lower Bollinger bands are developed to indicate defective areas in patterned fabric. Abnormal changes in the pattern lead to large variation in the standard deviation. Its mathematical definition was simple. For defect detection on patterned texture application of Bollinger Band is divided into training stage and testing stage.
Regulation of the Extent of Splicing of Influenza Virus NS1 mRNA: Role of the Rates of Splicing and of the Nucleocytoplasmic Transport of NS1 mRNA

Influenza virus NS1 mRNA is spliced by host nuclear enzymes to form NS2 mRNA, and this splicing is regulated in infected cells such that the steady-state amount of spliced NS2 mRNA is only about 10% of that of unspliced NS1 mRNA. This regulation would be expected to result from a suppression in the rate of splicing coupled with the efficient transport of unspliced NS1 mRNA from the nucleus. To determine whether the rate of splicing of NS1 mRNA was controlled by trans factors in influenza virus-infected cells, the NS1 gene was inserted into an adenovirus vector. The rates of splicing of NS1 mRNA in cells infected with this vector and in influenza virus-infected cells were measured by pulse-labeling with [3H]uridine. The rates of splicing of NS1 mRNA in the two systems were not significantly different, strongly suggesting that the rate of splicing of NS1 mRNA in influenza virus-infected cells is controlled solely by cis-acting sequences in NS1 mRNA itself. In contrast to the rate of splicing, the extent of splicing of NS1 mRNA in the cells infected by the adenovirus recombinant was dramatically increased relative to that occurring in influenza virus-infected cells. This could be attributed largely, if not totally, to a block in the nucleocytoplasmic transport of unspliced NS1 mRNA in the recombinant-infected cells. Most of the unspliced NS1 mRNA was in the nuclear fraction, and no detectable NS1 protein was synthesized. When the 3' splice site of NS1 mRNA was inactivated by mutation, NS1 mRNA was transported and translated, indicating that the transport block occurred because NS1 mRNA was committed to the splicing pathway. This transport block is apparently obviated in influenza virus-infected cells. These experiments demonstrate the important role of the nucleocytoplasmic transport of unspliced NS1 mRNA in regulating the extent of splicing of NS1 mRNA.
Designing a Mobile User Interface for Crowdsourced Verification of Datasets

—During the last decade machine learning has spread rapidly in computer science and beyond, and a central issue for machine learning is data quality. This study was carried out in the intersection of business and Human-Computer Interaction, examining how an interface may be developed for crowdsourced veriﬁcation of datasets. The interface is developed for efﬁciency and enjoyability through research on areas such as usability, information presentation models and gamiﬁcation. The interface was developed iteratively, drawing from needs of potential users as well as the machine learning industry. More speciﬁcally, the process involved a literature study, expert interviews, a user survey on the Kenyan market and user tests. The study was divided into a conceptual phase and a design phase, each constituting a clearly bounded part of the study with a prototype being developed in each stage. The results of this study give an interesting insight on what usability factors are important when designing a practical tool-type mobile application, while balancing efﬁciency and en-joyability. The resulting novel interface indicated on a more effective performance than a conventional grid layout and is more enjoyable to use according to the users. In addition, the ‘rapid serial visual presentation’ can be deemed a well functioning model for tool-type mobile applications which require a high amount of binary decisions on short time. The study highlights the importance of iterative, user-driven processes, allowing a new innovation or idea to merge with the needs and skills of users. The results may be of interest to anyone developing tool-type mobile applications and certainly if binary decision making on images is central.
Design Nanocavity Coupled Biosensor Based On 2D Photonic Crystal

- in this paper we have presented a two dimensional photonic crystal based biosensor. The structure of biosensor consists a linear waveguide with nanocavity which is used for sensing purpose, their refractive index change according to sensing material. Plane wave expansion method use to find out a bandgap. For the purpose structure band gap is 1339 to 1981nm and input wavelength is 1550nm. The simulation results have analyzed by using the finite difference time domain (FDTD) method.
A New Hand Based Biometric Modality &An Automated Authentication System

With increased adoption of smartphones, security has become important like never before. Smartphones store confidential information and carry out sensitive financial transactions. Biometric sensors such as fingerprint scanners are built in to smartphones to cater to security concerns. However, due to limited size of smartphone, miniaturised sensors are used to capture the biometric data from the user. Other hand based biometric modalities like hand veins and finger veins need specialised thermal/IR sensors which add to the overall cost of the system. In this paper, we introduce a new hand based biometric modality called Fistprint. Fistprints can be captured using digital camera available in any smartphone. In this work, our contributions are:i) we propose a new non-touch and non-invasive hand based biometric modality called fistprint. Fistprint contains many distinctive elements such as fist shape, fist size, fingers shape and size, knuckles, finger nails, palm crease/wrinkle lines etc. ii) Prepare fistprint DB for the first time. We collected fistprint information of twenty individuals - both males and females aged from 23 years to 45 years of age. Four images of each hand fist (total 160 images) were taken for this purpose. iii) Propose Fistprint Automatic Authentication SysTem (FAAST). iv) Implement FAAST system on Samsung Galaxy smartphone running Android and server side on a windows machine and validate the effectiveness of the proposed modality. The experimental results show the effectiveness of fistprint as a biometric with GAR of 97.5 % at 1.0% FAR.
Informal Logic Argumentation and Fiction Types of overlaps and their functions

: Argumentation and fiction are quite different types of communicative phenomena. However, overlaps between them happen to be very frequent. We can both fictionalize by means of argumentation and argue by means of fiction. The main goal of this paper is to analyse the different types of overlap that may arise between argumentation and fiction. In this paper, the defended hypothesis is that by considering who the “character” that is arguing is, we can get an exhaustive account of any possible overlap, as well as an explanation of the different functions that such overlaps can play.
MAXIM: Multi-Axis MLP for Image Processing (Supplementary Material)

All the datasets used in the paper are summarized in Tab. 1. We describe details of training for each dataset in the following. Note that we used the `2 loss for the dehazing task while using the loss defined in the main paper for all the other tasks. Image Denoising. We trained our model on 320 highresolution images provided in SIDD [2] and evaluated on 1,280 (256× 256) and 1,000 (512× 512) images provided by authors of SIDD [2] and DND [27], respectively. The results on DND were obtained via the online server [1]. We cropped the training images into 512 × 512 patches with a stride of 256 to prepare the training patches. We trained the MAXIM-3S model for 600k steps with a batch size of 256. Image Deblurring. We trained our model on 2,103 image pairs from GoPro [23]. To demonstrate generalization ability, we evaluated our GoPro trained model on 1,111 pairs of the GoPro evaluation set, 2,025 images in the HIDE dataset [33], as well as the RealBlur dataset [32], which contains 980 paired images of camera JPEG output and RAW images, respectively. We cropped training images from GoPro into 512 × 512 patches with a stride of 128 to generate training patches. We trained our MAXIM-3S model over 600k steps with a batch size of 256. For evaluation on RealBlur setting (2) (see main paper), we loaded the GoPro pre-trained checkpoint and fine-tuned for 70k and 15k iterations on RealBlur-J and RealBlur-R, respectively. Additionally, we trained our model on 24,000 images Task Dataset #Train #Test Test Dubname
Using backup supply with responsive pricing to mitigate disruption risk for a risk-averse firm

We consider a risk-averse firm’s sourcing problem with two suppliers: a dedicated one and a backup one. The dedicated supplier charges a lower wholesale price, but faces potential disruption risk. The backup supplier is assumed to be perfectly reliable, but charges a higher wholesale price. To mitigate the disruption risk, the firm uses a joint backup supply and responsive pricing strategy. We consider three common backup strategies between the firm and the backup supplier: advance purchase, reservation and contingency purchase. We derive under what conditions each strategy could be optimal. The results show that the thresholds that determine the optimal backup supply strategy are affected by the risk aversion level. When the risk aversion level is not extremely high, the firm should choose among the three backup suppliers by considering the disruption probability and the reservation fee. Firms with a higher risk aversion level tend to rely more on ex-ante preventive efforts (i.e. reservation or advance purchase strategies). When the risk aversion level is extremely high, the firm never considers the contingency purchase strategy, even for a low-probability disruption event. Additionally, market conditions yield non-negligible influences on the firm’s strategic choices due to the existence of risk aversion.
Dual-Shutter Optical Vibration Sensing

Visual vibrometry is a highly useful tool for remote capture of audio, as well as the physical properties of materials, human heart rate, and more. While visually-observable vibrations can be captured directly with a high-speed camera, minute imperceptible object vibrations can be optically amplified by imaging the displacement of a speckle pattern, created by shining a laser beam on the vibrating surface. In this paper, we propose a novel method for sensing vibrations at high speeds (up to 63kHz), for multiple scene sources at once, using sensors rated for only 130Hz operation. Our method relies on simultaneously capturing the scene with two cameras equipped with rolling and global shutter sensors, respectively. The rolling shutter camera captures distorted speckle images that encode the high-speed object vibrations. The global shutter camera captures undistorted reference images of the speckle pattern, helping to decode the source vibrations. We demonstrate our method by capturing vibration caused by audio sources (e.g. speakers, human voice, and musical instruments) and analyzing the vibration modes of a tuning fork.