Miracle-dz/UniFAR-FTUs huggingface dataset:
Automatic page composition with combined image crop and layout metrics

Automatic layout algorithms simplify the composition of image-rich documents, but they still require users to have sufficient artistry to supply well cropped and composed imagery. Combining an automatic cropping technology with a document layout system enables better results to be produced faster by less-skilled users. This paper reviews prior work in automatic image cropping and automatic page layout and presents a case for a combined crop and layout technology. We describe one such technology in a system for interactive publication design by amateur self-publishers and show that providing an automatic cropping system with additional information about the layout context can enable it to generate a more appropriate set of ranked crop options for a given image. Furthermore, we show that providing an automatic layout system with sets of ranked crop options for images can enable it to compose more appropriate page layouts.
Direct-sequence spread-spectrum chip tracking in the presence of unresolvable multipath components

Delay lock loop (DLL) chip time tracking in the presence of unresolvable multipath components is known to be suboptimum and prone to tracking errors. In the present contribution, the behavior of noncoherent and coherent digital DLL (DDLL) for a bandlimited direct-sequence spread-spectrum (DS-SS) system in the presence of multipath is analyzed under slow and fast fading assumptions. Due to the fading channel random nature, the tracker performance is evaluated according to a statistical metric. Numerical results show that the noncoherent DLL outperforms the coherent DLL in terms of demodulator losses caused by unresolvable multipath.
Performance of the forward link of a CDMA cellular network

In this paper we study the performance of a point-to-multipoint CDMA communication system operating in an environment with multipath propagation. Rake receivers are used by the mobile terminals to receive the multipath signals. Analytical expressions for signal-to-noise ratios (SNR) are derived for both orthogonal and non-orthogonal spreading sequences. Analytical results are obtained assuming signal paths have amplitudes that are Rayleigh distributed. Also, multipath delay profile measurements, made in the Toronto area, are used to study how the SNR varies in urban and suburban environments. <<ETX>>
Chaotic digital encoding: an approach to secure communication

A method for using chaos in the digital domain for secure communications is proposed. The method uses a nonlinear digital filter with finite precision (8 bits) in conjunction with its inverse filter to implement an encoder and a decoder, respectively. The nature of the encoder is such that it behaves in a quasi-chaotic fashion (since chaotic behavior requires infinite precision), both with zero and nonzero input sequences. The determination of its quasi-chaotic behavior is based on QC-properties defined in the paper, which are proposed as a test for finite state digital filters. At the very least, these properties suggest that the encoder possessing them will be of value in secure communications applications. Variations on the encoding scheme are suggested that allow the potential for a wide range of applications, ranging from cost-effective real-time systems to high security systems incorporating one or more "keys. " Simulation results as well as a mathematical analysis are used to promote an understanding of the performance of the nonlinear encoder/decoder. >
Salt-and-Pepper Noise Removal Based on Image Patch Reordering

A new method based on image patch reordering for removing salt-and-pepper noise from corrupted images is presented. Firstly, the problem of salt-and-pepper noise removal can be turned into the problem of image in-painting. Then, we can use the image patch reordering method to recover the missing pixels and fulfill the salt-and-pepper noise removal. Experimental results demonstrate that the proposed method obtain much better performance in terms of both qualitative and quantitative assessment. Especially, the proposed method provides the improvement in the performance of noise suppression and detail preservation.
Effects of inductance on the propagation delay and repeater insertion in VLSI circuits

A closed form expression for the propagation delay of a CMOS gate driving a distributed RLC line is introduced that is within 5% of dynamic circuit simulations for a wide range of RLC loads. It is shown that the traditional quadratic dependence of the propagation delay on the length of an RC line approaches a linear dependence as inductance effects increase. The closed form delay model is applied to the problem of repeater insertion in RLC interconnect. Closed form solutions are presented for inserting repeaters into RLC lines that are highly accurate with respect to numerical solutions. An RC model as compared to an RLC model creates errors of up to 30% in the total propagation delay of a repeater system. Considering inductance in repeater insertion is also shown to significantly save repeater area and power consumption. The error between the RC and RLC models increases as the gate parasitic impedances decrease which is consistent with technology scaling trends. Thus, the importance of inductance in high performance VLSI design methodologies will increase as technologies scale.
The Acoustic Characteristics of /hVd/ Vowels in the Speech of some Australian Teenagers

The study presents an acoustic examination of the 18 stressed monophthongs and diphthongs of Standard Australian English, detailing the frequency and durational characteristics of these vowels produced in the hVd context by 60 male and 60 female adolescent talkers from Sydney. It entails a rigorous acoustic analysis using objective signal processing techniques to detail vowel structure in a strictly controlled fashion. The paper additionally provides the first large-scale published analysis of vowels produced by Australian females and compares vowel formant and durational characteristics across the sexes. The results provide a point of reference for those who require detailed acoustic information about Standard Australian English vowel production.
H1N1 Infection among Egyptian Renal Transplant Recipients

Background: Pandemic H1N1 infection has been associated with significant morbidity in general population. Immuno compromised transplanted patients are one of at risk groups. Handling of immunosuppressive drugs in such population was not discussed in details in literatures. Patients M 21 patients were admitted and isolated due to pneumonia, bronchitis, gastroenteritis and or shock while the other 4 patients treated on outpatient basis. Results: Twelve cases suffered from respiratory symptoms; six cases suffered from H1N1 pneumonia, while other 6 cases suffered from acute bronchitis. The other 13 admitted patients suffered from gastroenteritis, high fever and or shock. Twenty-three out of 25 RTR showed dramatic response to oseltamivir, high grade fever resolved 1-2 days after initiation of the antiviral drug. Most of patients discharged to home 4-6 days after admission. Conclusion: Early clinical suspicion and starting oseltamivir immediately upon clinical suspicion is to decrease the morbidity and mortality. Doubling the dose, extension of duration of treatment and reduction of immunosuppressive drugs (when indicated) are the keys for successful management of H1N1 infection in RTR.
Experimental verification of stepped frequency continuous wave Ground-Based SAR

GBSAR (Ground-Based Synthetic Aperture Radar) is an effective supplement to Space-borne SAR and Air-borne SAR, as well as an experimental platform for deformation detection and verification of advanced microwave imaging modes and algorithms. This paper first introduces the basic principle and structure of SFCWGBSAR (Stepped Frequency Continuous Wave GBSAR) developed by IECAS (Institute of Electronics Chinese Academy of Sciences), followed by the analysis of imaging principle and performance of SFCW (Stepped Frequency Continuous Wave). Frequency sampling of SFCW utilizes IDFT to realize range compression without match filtering, which simplifies the imaging algorithm, lowers the sampling rate of AD converter and reduces the data size in imaging. A simulation of SFCW range compression is conducted and the result is consistent with the analysis of SFCW's imaging performance. Finally, an experiment is presented and the result verifies the imaging ability of SFCWGBSAR. (5 pages)
On the Construction of Efficient Private Signature Scheme

Private signature is a signature which provides signature privacy and restricted transference. Using the private scheme a user can sign a message in such a way that only a designated verifier can verify the signature. In some cases, the signer may want to preserve the privacy forever, which means that the initial verifier should not be able to convince anyone else of the fact that the signer signed the message. In some other cases, the signer may want to give the initial verifier the possibility to transfer his conviction to someone else, if desired. In this paper we first review the private signatures proposed by Javier Herranz, and point its drawback. Then we propose efficient private signature by combining a secure signature scheme and a non-interactive one-way key agreement.
A New Method of Power System Load Forecasting Based on Intelligent Optimization Algorithm

Based on the research on the basis of analyzing the mechanism of polynomial fitting model, The polynomial fitting model or method was established based on intelligent optimization algorithm. The proposed method was applied to electric power system load forecasting, by a practical example’s calculation and analysis, this proposed intelligent optimization algorithm or method was verified to be feasible in the power system load forecasting, the results also showed that the method was compared with the traditional algorithm has superiority and has a broad application prospect in the field of polynomial fitting.
A new region-of-interest image compression method based on Wyner-Ziv coding

The JPEG2000 image coding standard defines two kinds of region of interest (ROI) compression methods--the general scaling based method and the maximum shift (maxshift) method. There are two major drawbacks of the two methods. First, they would significantly reduce the compression efficiency by increasing the dynamic range (or number of bitplanes) of wavelet coefficients. Second, they do not have the especial protection for the ROI against the bit errors in image communication application, i.e., remote medical treatment and Satellite Communication. When the bit errors occurred, the reconstruction quality of ROI and BG would reduce at the same time. In this paper, a new and flexible ROI image compression method is proposed according to the Wyner-Ziv theorem on source coding with side information. The reconstructed low quality ROI is regard as a noisy version of original ROI in the proposed method. So, along with the parity bits from the original ROI, the reconstructed low quality ROI as side information can be utilized to Turbo decoder to decode the high quality ROI. Our experimental results show that the proposed method applying the Wyner-Ziv coding to ROI compression can highly improve the compression efficiency as well as efficiently protect the ROI against the bit errors.
Research on Bioinformatics with Sparse Feature Fusion for Object Recognition

Combining multiple bioinformatics such as shape and color is a challenging task in object recognition. Usually, we believe that if more different bioinformatics are considered in object recognition, then we could get better result. Bag-of-words-based image representation is one of the most relevant approaches; many feature fusion methods are based on this model. Sparse coding has attracted a considerable amount of attention in many domains. A novel sparse feature fusion algorithm is proposed to fuse multiple bioinformatics to represent the images. Experimental results show good performance of the proposed algorithm.
Behandlung von erwachsenen Patienten mit ambulant erworbener Pneumonie und Prävention – Update 2016

Zusammenfassung Die vorliegende Leitlinie umfasst ein neues und aktualisiertes Konzept der Behandlung und Prävention von erwachsenen Patienten mit ambulant erworbener Pneumonie und löst die bisherige Leitlinie aus dem Jahre 2009 ab. Sie wurde entsprechend den Maßgaben zur Methodologie einer S3-Leitlinie erarbeitet und verabschiedet. Hierzu gehören eine systematische Literaturrecherche und -bewertung, die strukturierte Diskussion der aus der Literatur begründbaren Empfehlungen sowie eine Offenlegung und Bewertung möglicher Interessenskonflikte. Die Leitlinie zeichnet sich aus durch eine Zentrierung auf definierte klinische Situationen, eine aktualisierte Maßgabe der Schweregradbestimmung, Empfehlungen zu einer individualisierten Auswahl der initialen antimikrobiellen Therapie sowie zur primären und sekundären Prävention.
Multiple Facets of Abdominal Sarcoidosis

Submit Manuscript | http://medcraveonline.com Increase of liver enzymes (e.g., transaminases, gamma-gt and alkaline phosphatases) is commonly observed in patients with sarcoidosis [6], but should not considered a priori evidence of hepatic involvement in patients affected by pulmonary form of sarcoidosis unless confirmed by biopsy or, at least, by imaging. Other concomitant etiologies can indeed occur such as nonalcoholic fatty liver disease and viral hepatitis and differential diagnosis can be challenging if a high clinical suspect does not occur in these situations [7,8].
Exact linearization and noninteracting control of a 4 rotors helicopter via dynamic feedback

Presents a nonlinear dynamic model for a four rotors helicopter in a form suited for control design. We show that the input-output decoupling problem is not solvable for this model by means of a static state feedback control law. Then, a dynamic feedback controller is developed which renders the closed-loop system linear, controllable and noninteractive after a change of coordinates in the state-space. Finally, the stability and the robustness of the proposed control law in the presence of wind, turbulences and parametric uncertainties is analyzed through a simulated case study.
A Review of the Pathophysiology and Clinical Sequelae of Diabetic Polyneuropathy in the Feet

Diabetic neuropathy (DN), affects approximately 50% of the people who have diabetes mellitus. It is also the ubiquitous aspect of diabetes mellitus that is a precursor to decreased quality of life and limb threatening complications from diabetes. The vast majority of patients who develop a diabetic foot ulcer (DFU) are neuropathic and all patients who develop Charcot Arthropathy are profoundly neuropathic. Neuropathy can range from hypoesthetic (decreased sensation) to anesthetic to painful. Painful neuropathy is typically associated with small fiber neuropathy and affects approximately 20% percent of patient with neuropathy and will dramatically affect patient daily quality of life. However, hyopesthetic neuropathy is the leading cause of ulceration, Charcot Arthopathy and amputation. This article aims at reviewing the epidemiological relevance of DN as well as its pathophysiology and a brief review of diagnosis, and assessment as well as its sequelae.
The Urgent Need for Broad-Spectrum Antiviral Drugs

During the last decades, human populations have been exposed to several new viral pathogens such as Ebola and Marburg viruses, Lassa fever virus, SARSand MERSCorona viruses, Hantaviruses, Kyasanur Forest virus and others, often with disastrous consequences [1-6]. While in several cases these represent sporadic outbreaks that wane over a period of a few weeks, the events of 2014 have exposed our vulnerability to such highly pathogenic agents with the unprecedented Ebola virus epidemic which is barely under control after more than a year in West Africa [7]. These outbreaks tend to occur in developing countries; however they can rapidly expand and reach other parts of the globe through basic transportation facilities. The 2014 Ebola virus outbreak has provided a particularly interesting opportunity to test our ability to react and respond to a major health crisis in one of the worst possible situation. Sadly, the results have exposed several weaknesses and underlined the necessity to review our entire approach to these natural calamities. Besides the lack of basic facilities and limited infrastructure in the affected countries, the absence of an adequate vaccine to protect local populations and healthcare personal, and of approved antiviral drugs to treat infected patients, resulted in a true humanitarian disaster with thousands of deaths.
S2k-Leitlinie Gastrointestinale Infektionen und Morbus Whipple

Ergebnisse einer S2k-Konsensuskonferenz der Deutschen Gesellschaft fur Gastroenterologie, Verdauungsund Stoffwechselerkrankungen (DGVS) gemeinsam mit der Deutschen Gesellschaft fur Innere Medizin (DGIM), der Deutschen Gesellschaft fur Hygiene und Mikrobiologie (DGHM), der Deutschen Gesellschaft fur Infektiologie (DGI), der Deutschen Gesellschaft fur Krankenhaushygiene e. V. (DGKH), der Deutschen Gesellschaft fur Pathologie (DGP), der Deutschen Gesellschaft fur Tropenmedizin und Internationale Gesundheit (DTG), dem ROBERT-KOCHINSTITUT (RKI) und der Paul-Ehrlich Gesellschaft fur Chemotherapie e.V. (PEG)
Abdominal Aortic Aneurysm: Risk Factors, New Diagnosis Realities and Complications Prevision

Introduction An abdominal aortic aneurysm is defined as a permanent expansion of aorta superior or equal to cm which has a mortality in case of rupture Its formation is caused by the weakening of aortic wall that occurs when elastic and collagen fibers are degraded being an entity that has an elevated risk for human live Purpose To put in evidence the contribution of modifiable and non modifiable risk factors to the development of abdominal aortic aneurysms and to present new diagnosis paths and ways of previse complications of this entity Methodology Review article based on the search made between February and April of through the search engines ScienceDirect and Pubmed From the articles found were selected with only being used dated between and Discussion The majority of the risk factors contribute to enhance the development of an abdominal aortic aneurysm being the search of the individuals that present them fundamental This search is especially important in women aged between years with cardiovascular risk factors or in those aged over years with an abdominal aortic aneurysm rsquo s family history but also in those aged over years that present smoke or cardiac disease history Considering the complications associated with an abdominal aortic aneurysm its frequent evaluation is crucial having the purpose of determining the moment when the aneurysm reaches the minimum proposed diameter for surgery which matches with a higher rupture risk and consequently a higher life danger Conclusion The abdominal aortic aneurysms have risk factors similar to those found in atherosclerotic disease although it is thought that these two entities feature different etiologies Some D methods have emerged speckle tracking which has allowed a more detailed study of abdominal aortic aneurysms bridging the limitations found in D methods D methods in association with mortality and morbidity prognosis studies can justify and support the decision of intervening abdominal aortic aneurysms which must be performed when the rupture risk exceeds the surgical ones
Distributed caching strategy

When compared to biological experiments, using computational protein models can save time and effort in identifying native conformations of proteins. Nonetheless, given the sheer size of the conformation space, identifying the native conformation remains a computationally hard problem - even in simplified models such as hydrophobic-hydrophilic (HP) models. Distributed systems have become the focus of protein folding, providing high performance computing power to accommodate the conformation space. To use a distributed system efficiently (with limited resources), an appropriate strategy should be designed accordingly. Communication incurs overhead but can provide useful information in distributed systems through careful consideration. Our study focuses on understanding the behavior of distributed systems and developing an efficient communication strategy to save computational effort in order to obtain good solutions. In this paper, we propose a distributed caching strategy, which reuses partial results of computations and transmits the cached and reusable information among neighboring inter-connected processors. In order to validate this idea in a practical setting, we present algorithms to retrieve and restore the cached information and apply them to 2D triangular HP lattice models through coarse-grained parallel genetic algorithms (CPGAs). Our experimental results demonstrate the time savings as well as the limits in caching improvements for our distributed caching strategy.
A New Inspection Method of Chip Component Type Based on Moment Features

In order to automatically inspect chip components with the placement machine vision system, a new method is introduced to inspect the type of a chip component. This work studies the moment features selection for chip components classification. First, a new signal to noise ratio formula is proposed to exclude the unrelated moment features with classification, and then a support vector machine is applied to validate the classification performance of the remaining moment features. Then the correlation analysis and the sensitivity analysis are implemented to filter out the redundant moment features. Finally, a voting strategy of one to one is used to promote the support vector machine to obtain a multiclass classifier. Six types of components are inspected for the experiments, and the results show the effectiveness of the type inspection method.
Fast algorithm for minutiae matching based on multiple-ridge information

Autonomous real-time fingerprint verification, how to judge whether two fingerprints come from the same finger or not, is an important and difficult problem in AFIS (Automated Fingerprint Identification system). In addition to the nonlinear deformation, two fingerprints from the same finger may also be dissimilar due to translation or rotation, all these factors do make the dissimilarities more great and lead to misjudgment, thus the correct verification rate highly depends on the deformation degree. In this paper, we present a new fast simple algorithm for fingerprint matching, derived from the Chang et al.'s method, to solve the problem of optimal matches between two fingerprints under nonlinear deformation. The proposed algorithm uses not only the feature points of fingerprints but also the multiple information of the ridge to reduce the computational complexity in fingerprint verification. Experiments with a number of fingerprint images have shown that this algorithm has higher efficiency than the existing of methods due to the reduced searching operations.
Observer-Based Speed Estimation Method for Sensorless Vector Control Using Artificial Neural Network

This paper presents a novel approach to sensorless vector control of induction motor drives. The method is based on an adaptive flux observer in the rotorspeed reference frame in which an artificial neural network (ANN) is employed to modify the estimated rotor flux to improve the performance of speed estimation. The adopted ANN is a feed-forward neural network identified off-line. It uses the backpropagation learning process to update their weights. The data for training are obtained from a computer simulation and experimental data file of a vector control system. Then, the estimated rotor flux is used in the speed estimation that will feedback to the vector control system. The proposed method has the advantages of better accuracy at low speed range and speed following under heavy loads. Experimental results show the effectiveness of the proposed method.