ahmedabdelwahed/Medical_papers_title_and_abstract_NLP_dataset huggingface dataset:
HEAP: An Efficient and Fault-Tolerant Authentication and Key Exchange Protocol for Hadoop-Assisted Big Data Platform

Hadoop framework has been evolved to manage big data in cloud. Hadoop distributed file system and MapReduce, the vital components of this framework, provide scalable and fault-tolerant big data storage and processing services at a lower cost. However, Hadoop does not provide any robust authentication mechanism for principals' authentication. In fact, the existing state-of-the-art authentication protocols are vulnerable to various security threats, such as man-in-the-middle, replay, password guessing, stolen-verifier, privileged-insider, identity compromization, impersonation, denial-of-service, online/off-line dictionary, chosen plaintext, workstation compromization, and server-side compromisation attacks. Beside these threats, the state-of-the-art mechanisms lack to address the server-side data integrity and confidentiality issues. In addition to this, most of the existing authentication protocols follow a single-server-based user authentication strategy, which, in fact, originates single point of failure and single point of vulnerability issues. To address these limitations, in this paper, we propose a fault-tolerant authentication protocol suitable for the Hadoop framework, which is called the efficient authentication protocol for Hadoop (HEAP). HEAP alleviates the major issues of the existing state-of-the-art authentication mechanisms, namely operatingsystem-based authentication, password-based approach, and delegated token-based schemes, respectively, which are presently deployed in Hadoop. HEAP follows two-server-based authentication mechanism. HEAP authenticates the principal based on digital signature generation and verification strategy utilizing both advanced encryption standard and elliptic curve cryptography. The security analysis using both the formal security using the broadly accepted real-or-random (ROR) model and the informal (non-mathematical) security shows that HEAP protects several well-known attacks. In addition, the formal security verification using the widely used automated validation of Internet security protocols and applications ensures that HEAP is resilient against replay and man-in-the-middle attacks. Finally, the performance study contemplates that the overheads incurred in HEAP is reasonable and is also comparable to that of other existing state-of-theart authentication protocols. High security along with comparable overheads makes HEAP to be robust and practical for a secure access to the big data storage and processing services.
Label-free and de-conjugation-free workflow to simultaneously quantify trace amount of free/conjugated and protein-bound estrogen metabolites in human serum

Different chemical forms of sex hormones including free/conjugated metabolites as well as their protein/DNA adducts in human serum are a panel of important indicators of health conditions. It is, however, hard to quantify all species simultaneously due to the lack of general extraction, derivatization, and de-conjugation methods. Here we developed a label-free and de-conjugation-free workflow to quantify 11 free/conjugated estrogen metabolites including depurinating DNA and protein adduct forms of 4-hydroxyestradiol (4OHE2) in human serum. Acetonitrile acts as an excellent solvent to purify adducted and non-adducted human serum albumin (HSA) by precipitation as well as to extract free/conjugated metabolites and depurinating DNA adducts from the supernatant by salting-out effect. The adduction level of 4OHE2 on HSA was determined by proteomics; free/conjugated metabolites were quantified by a newly developed microflow liquid chromatography (microflow LC)-nanoelectrospray ionization (nanoESI)-multiple reaction monitoring (MRM) method with high reproducibility (7-22% RSD, n > 3) and sub-picogram levels (0.6-20 pg/mL) of quantification limits (S/N = 8) by using non-pulled capillary as nano-ESI emitter. This workflow was demonstrated to reveal endogenous adduction level of 4OHE2 on HSA as well as circulation levels of free/conjugated metabolites in clinical samples. 4OHE2 in human serum were solely detected as protein-bound form, indicating the merit of such integrated platform covering unstable or active metabolites. Compared to traditional methods using labeling or de-conjugation reaction, this workflow is much simplier, more sensitive, and more specific. Moreover, it can be widely applied in omics to concurrently access various bio-transformed known and un-known markers or drugs.
Is Denoising Dead?

Image denoising has been a well studied problem in the field of image processing. Yet researchers continue to focus attention on it to better the current state-of-the-art. Recently proposed methods take different approaches to the problem and yet their denoising performances are comparable. A pertinent question then to ask is whether there is a theoretical limit to denoising performance and, more importantly, are we there yet? As camera manufacturers continue to pack increasing numbers of pixels per unit area, an increase in noise sensitivity manifests itself in the form of a noisier image. We study the performance bounds for the image denoising problem. Ourwork in this paper estimates a lower bound on the mean squared error of the denoised result and compares the performance of current state-of-the-art denoising methods with this bound. We show that despite the phenomenal recent progress in the quality of denoising algorithms, some room for improvement still remains for a wide class of general images, and at certain signal-to-noise levels. Therefore, image denoising is not dead-yet.
A Cost-Effective Fault Tolerance Technique for Functional TSV in 3-D ICs

Regular and redundant through-silicon via (TSV) interconnects are used in fault tolerance techniques of 3-D IC. However, the fabrication process of TSVs results in defects that reduce the yield and reliability of TSVs. On the other hand, each TSV is associated with a significant amount of on-chip area overhead. Therefore, unlike the state-of-the-art fault tolerance architectures, here we propose the time division multiplexing access (TDMA)-based fault tolerance technique without using any redundant TSVs, which reduces the area overhead and enhances the yield. In the proposed technique, by means of TDMA, we reroute the signal through defect-free TSV. Subsequently, an architecture based on the proposed technique has been designed, evaluated, and validated on logic-on-logic 3-D IWLS'05 benchmark circuits using 130-nm technology node. The proposed technique is found to reduce the area overhead by 28.70%-40.60%, compared to the state-of-the-art architectures and results in a yield of 98.9%-99.8%.
Algorithm and VLSI Architecture Design of Low-Power SPIHT Decoder for mHealth Applications

A real-time cost and power-efficient (CPE) set partitioning in hierarchical trees (SPIHT) decoder design with low hardware complexity and low-power dissipation is introduced in one-dimension (1-D) wavelet-based quality-assured electrocardiograph (ECG) compression systems for mobile health (mHealth) applications. However, current SPIHT coding architectures are designed for image/video processing. These architectures require a large amount of memory as well as complicated sorting algorithms, which both require time-consuming tasks and are unsuitable for mobile ECG applications. Based on our previously modified SPIHT coding work, which used flags and check bits to reduce memory requirements and coding complexity by merging three search processes into one step. Therefore, to achieve the real-time design goal for mobile ECG applications, in this paper, we first introduce a hardware-oriented SPIHT decoding algorithm that is suitable for decoding the previously presented SPIHT codingwork. Accordingly, an appropriate low-power hardware architecture is developed to implement a real-time high-performance and low-cost SPIHT VLSI design for our proposed decoder algorithm, which is appropriate for mobile ECG applications. Using the distinct ECG signals in the MIT-BIH arrhythmia database (sampling rate of 360 Hz), the final simulation and VLSI implementation results reveal that the proposed CPE SPIHT decoder design outperforms the state-of-the-art designs in terms of the average decoding time, the decoding quality, the VLSI speed, and the power consumption. Most importantly, the design can be exploited to a 1-D 1024 x 1 wavelet-based quality-assured ECG data compression system.
Adversarial Learning Approach to Unsupervised Labeling of Fine Art Paintings

An automatic classification of fine art images is limited by the scarcity of high-quality labels made by art experts. This study aims to provide meaningful automatic labeling of fine art paintings (machine labeling) without the need for human annotation. A new unsupervised Adversarial Clustering System (ACS) is proposed. The ACS is an adversarial learning approach comprising an unsupervised clustering module generating machine labels and a supervised classification module classifying the data based on the machine labels. Both modules are linked through an optimization algorithm iteratively improving the unsupervised clusters. The objective function driving the improvement consists of the within-cluster sum of squares (WCSS) error and the supervised classification accuracy. The proposed method was tested on three different fine-art datasets, including two sets of paintings previously categorized by art experts and one never categorized collection of Australian Aboriginal paintings. The unsupervised clusters were analyzed using standard unsupervised clustering metrics and a reliability measure between machine and human labeling. The ACS showed higher reliability compared to the classical k-means clustering method. The content analysis of unsupervised clusters indicated grouping based on scene composition, type, and shape of the object, edge sharpness and direction, and color palette.
Advanced Covalent Organic Frameworks for Multi-Valent Metal Ion Batteries

Covalent organic frameworks (COFs) have received increased interest in recent years as an advanced class of materials. By virtue of the available monomers, multiple conformations and various linkages, COFs offer a wide range of opportunities for complex structural design and specific functional development of materials, which has facilitated the widespread application in many fields, including multi-valent metal ion batteries (MVMIBs), described as the attractive candidate replacing lithium-ion batteries (LIBs). With their robust skeletons, diverse pores, flexible structures and abundant functional groups, COFs are expected to help realize a high performance MVMIBs. In this review, we present an overview of COFs, describe advances in topology design and synthetic reactions, and study the application of COFs in MVMIBs, as well as discuss challenges and solutions in the preparation of COFs electrodes, in the hope of providing constructive insights into the future direction of COFs.
State-of-the-art, challenges, and future trends in security constrained optimal power flow

This paper addresses the main challenges to the security constrained optimal power flow (SCOPF) computations. We first discuss the issues related to the SCOPF problem formulation such as the use of a limited number of corrective actions in the post-contingency states and the modeling of voltage and transient stability constraints. Then we deal with the challenges to the techniques for solving the SCOPF, focusing mainly on: approaches to reduce the size of the problem by either efficiently identifying the binding contingencies and including only these contingencies in the SCOPF or by using approximate models for the post-contingency states, and the handling of discrete variables. We finally address the current trend of extending the SCOPF formulation to take into account the increasing levels of uncertainty in the operation planning. For each such topic we provide a review of the state of the art, we identify the advances that are needed, and we indicate ways to bridge the gap between the current state of the art and these needs. (C) 2011 Elsevier B.V. All rights reserved.
In vivo evaluation of analgesic and anti-inflammatory activity of hydroalcoholic extracts from Handroanthus impetiginosus and their chemical composition by UPLC/MS analysis

This study demonstrates in vivo analgesic and anti-inflammatory properties of hydroalcoholic extracts of leaves, bark and flowers from the Handroanthus impetiginosus (Bignoniaceae) plant, recognized as 'Ipê roxo' in Brazil. The extracts were evaluated in male Swiss albino mice via oral administration. Moreover, results of the in vivo paw oedema test induced by carrageenan revealed that extracts of leaves and bark displayed relevant anti-inflammatory activity potential at the dosage of 100 mg/kg, 300 mg/kg, and 500 mg/kg. Likewise, the results obtained for leaves and flowers extracts suggested potent analgesic action in the conventional hot plate test. UPLC/MS analysis of the hydroalcoholic extracts samples identified metabolites belonging to several classes, mainly naphthoquinones and iridoids derivatives as well as flavonoids. Thus, the obtained results indicate that the extracts of H. impetiginosus plant parts could be considered as a complementary herbal medicine for the treatment of pain and inflammation disorders.
Evaluation of graphite and TiO2 as susceptors for microwave dewaxing in ceramic shell casting processes of artworks

The main problems of the traditional foundry dewaxing processes in fine arts workshops are the emission of gases, the loss of 80% of the wax, the high electrical consumption, and the high risks for the operators. The introduction of the microwave technology for dewaxing of ceramic shell molds allows to minimize some of these problems, although the use of electromagnetic susceptors that capture the radiated energy and transform it into heat is required. This article describes different microwave dewaxing tests using TiO2 and graphite as susceptors. The results obtained show that this technique is viable, allowing the casting process to be carried out with a low percentage of breakage problems in the mold and significantly reducing the emitted gases and electricity consumption. The technique allows to recover in the same operation around 90% of the wax used in small and medium format objects. The tests show that the selection of the material used as a susceptor, the area of application and the power regimes, are fundamental to enable a controlled, soft and non-aggressive dewaxing, both for the art molds and for the environment, as opposed to the traditional Flash Dewaxing technique. In this way, it is possible to change the foundry of ceramic shells for artworks to achieve high levels of performance and safety, and to save energy, time and materials.
Abdominopelvic CT Image Quality: Evaluation of Thin (0.5-mm) Slices Using Deep Learning Reconstruction

BACKGROUND. Because thick-section images (typically 3-5 mm) have low image noise, radiologists typically use them to perform clinical interpretation, although they may additionally refer to thin-section images (typically 0.5-0.625 mm) for problem solving. Deep learning reconstruction (DLR) can yield thin-section images with low noise. OBJECTIVE. The purpose of this study is to compare abdominopelvic CT image quality between thin-section DLR images and thin- and thick-section hybrid iterative reconstruction (HIR) images. METHODS. This retrospective study included 50 patients (31 men and 19 women; median age, 64 years) who underwent abdominopelvic CT between June 15, 2020, and July 29, 2020. Images were reconstructed at 0.5-mm section using DLR and at 0.5-mm and 3.0-mm sections using HIR. Five radiologists independently performed pairwise comparisons (0.5-mm DLR and either 0.5-mm or 3.0-mm HIR) and recorded the preferred image for subjective image quality measures (scale, -2 to 2). The pooled scores of readers were compared with a score of 0 (denoting no preference). Image noise was quantified using the SD of ROIs on regions of homogeneous liver. RESULTS. For comparison of 0.5-mm DLR images and 0.5-mm HIR images, the median pooled score was 2 (indicating a definite preference for DLR) for noise and overall image quality and 1 (denoting a slight preference for DLR) for sharpness and natural appearance. For comparison of 0.5-mm DLR and 3.0-mm HIR, the median pooled score was 1 for the four previously mentioned measures. These assessments were all significantly different (p < .001) from 0. For artifacts, the median pooled score for both comparisons was 0, which was not significant for comparison with 3.0-mm HIR (p = .03) but was significant for comparison with 0.5-mm HIR (p < .001) due to imbalance in scores of 1 (n = 28) and -1 (slight preference for HIR, n = 1). Noise for 0.5-mm DLR was lower by mean differences of 12.8 HU compared with 0.5-mm HIR and 4.4 HU compared with 3.0-mm HIR (both p < .001). CONCLUSION. Thin-section DLR improves subjective image quality and reduces image noise compared with currently used thin- and thick-section HIR, without causing additional artifacts. CLINICAL IMPACT. Although further diagnostic performance studies are warranted, the findings suggest the possibility of replacing current use of both thin- and thick-section HIR with the use of thin-section DLR only during clinical interpretations.
Compressed Sensing With Nonlinear Analog Mapping in a Noisy Environment

We propose a low delay and low complexity sensor system based on the combination of Shannon-Kotel'nikov mapping and compressed sensing (CS). The proposed system uses nonlinear analog mappings on the CS measurements to increase their immunity against channel noise. Numerical results show that the proposed purely-analog system outperforms the state-of-the-art purely CS systems in terms of signal-to-distortion ratio. In addition to sparsity knowledge, we use a statistical characterization of the observed signal to further improve system performance.
The Impact of Marine Culture Development on the Formation of Offshore Architectural Art

As one of the most expressive art forms, architecture is closely related to the formation of human civilization. Architectural art in the offshore area is not only affected by marine culture, but also an important manifestation of the marine culture development. This paper aims to explore the impact of the marine culture development on the formation of offshore architectural art. To this end, it first discusses about the connotation and characteristics of marine culture, and offshore architectural art. Then, taking the offshore urban square as an example, the case analysis method was used to analyze the performance of marine culture in offshore architectural art. The research results show that marine culture involves all aspects and fields of social life; the boat houses of Li minority in Hainan is one of the buildings that were earlier affected by marine culture; with the development of the times, marine cultural elements have been more integrated into offshore urban architecture, such as the Sydney Opera House and the National Maritime Museum of China; marine elements such as marine animals, ships, and sails are widely used in landscape sketches of urban square, and have both practical and spiritual functions; offshore urban squares usually reflect the marine cultural characteristics of offshore cities through road paving with different materials and colors and beautiful line designs, which give strong visual effects, and play a role in guiding and dividing space; marine culture is the cultural foundation of the economics, beauty, practicality, and regionality for the garden square in the offshore city.. The research findings have important practical value for the mutual promotion of marine culture and the image construction of offshore cities.
Accurate and robust tracking of rigid objects in real time

We present the shape model object tracker, which is accurate, robust, and real-time capable on a standard CPU. The tracker has a failure mode detection, is robust to nonlinear illumination changes, and can cope with occlusions. It uses subpixel-precise image edges to track roughly rigid objects with high accuracy and is virtually drift-free even for long sequences. Furthermore, it is inherently capable of object re-detection when tracking fails. To evaluate the accuracy, robustness, and efficiency of the tracker precisely, we present a challenging new tracking dataset with pixel-precise ground truth. The precise ground-truth labels are created automatically from the photo-realistic synthetic VIPER dataset. The tracker is thoroughly evaluated against the state of the art through a number of qualitative and quantitative experiments. It is able to perform on par with the current state-of-the-art deep-learning trackers, but is at least 45 times faster, even without using a GPU. The efficiency and low memory consumption of the tracker are validated in further experiments that are conducted on an embedded device.
Methods for U-series dating of CaCO3 crusts associated with Palaeolithic cave art and application to Iberian sites

U-series dating is a precise and accurate geochronological tool which is widely applied to date secondary CaCO3 formation, for example in speleothem based palaeoclimate research. It can also be employed to provide chronological constraints for archaeological sites which have a stratigraphic relationship with speleothem formations. We present in detail our methods to conduct precise and accurate U-Th dating of calcite crusts that formed on top of cave paintings. Our protocols allow the application of U-series measurements on small, thin calcite crusts covering cave art, which can be found in many sites, while taking care not to harm the art underneath. The method provides minimum ages for the covered art and, where possible, also maximum aged by dating the flowstone layer the art is painted on. We present dating results for crusts from two locality types in Spain, a typical cave environment (La Pasiega) and a more open, rock shelter type cave (Fuente del Trucho). (C) 2016 Published by Elsevier B.V.
Schinus Essential Oils: Chemical Composition by GC×GC-TOFMS and Phytotoxic Effects on Arabidopsis thaliana

Schinus essential oils were tentatively identified by GC×GC/TOFMS, which revealed a greater number of compounds than previously reported. Eighty-six, seventy-two, and eighty-eight components were identified in Schinus lentiscifolius, Schinus molle and Schinus terebinthifolius essential oils, respectively. Compound separation due to 2 D selectivity was observed. Phytotoxic effects of Schinus essential oils were assessed on germination and initial growth of Arabidopsis thaliana. All essential oils in all tested quantities (5 μL, 10 μL, 15 μL, 20 μL, and 25 μL) affected germination rate, speed of accumulated germination, and root and shoot length of A. thaliana. Considering the mode of action of the essential oils, no differences were observed on expression of the genes ANP1 and CDK B1;1 in A. thaliana, which was analyzed by RT-qPCR. Results suggest that phytotoxic effects of Schinus essential oils seem to be explained by cellular damage rather than by induction of stress-inducible genes.