ahmedabdelwahed/Medical_papers_title_and_abstract_NLP_dataset huggingface dataset:
Hepatic transcriptomics and metabolomics indicated pathways associated with immune stress of broilers induced by lipopolysaccharide

Broilers with immune stress show decline of growth performance, causing severe economic losses. However, the molecular mechanisms underlying the immune stress still need to be elucidated. One hundred and twenty broiler chicks were randomly assigned to 2 groups with 6 repeats per group, 10 birds per repeat. The model broilers were intraperitoneally injection of 250 µg/kg LPS at 12, 14, 33, and 35 d of age to induce immunological stress. Control group was injected with an equivalent amount of sterile saline. Blood samples from chickens were collected using wing vein puncture at 35 d of age and the serum was obtained for detection of CORT and ACTH. At the end of the experiment, the liver tissues were excised and collected for omics analysis. The results showed that LPS challenge significantly inhibited growth performance, increased relative weight of liver, spleen and decreased relative weight of bursa, as well as enhanced the concentration of serum ACTH and CORT, when compared with the Control. A total of 129 DEGs and a total of 109 differential metabolites were identified between Model and Control group. Transcriptomics profiles revealed that immune stress enhanced the expression of genes related to defense function while declined the expression of genes related to oxidation-reduction process. Metabolomics further suggested that immune stress changed metabolites related to amino acid metabolism, glycerophospholipid metabolism. In addition, integrated analysis suggested that the imbalance of valine, leucine and isoleucine metabolism, glycerophospholipid metabolism, and mTOR signaling pathway played an important role in immune stress of broiler chicks.
Label Augmentation to Improve Generalization of Deep Learning Semantic Segmentation of Laparoscopic Images

Training Deep Neural Networks to solve semantic segmentation is a challenging problem with small-size labeled datasets, leading to overfitting. This is especially problematic in medical images, and in particular, in laparoscopic surgery images. In this context, ground-truth segmentation labels are available only for a small set of images with few patients. Besides, inter-patient variability is very high in practice. Models trained for a specific setup and a set of patients usually performs poorly when deployed in a new environment. This work proposes a new training strategy that improves the generalization accuracy of current state-of-the-art semantic segmentation methods applied to laparoscopic images. Our approach is based on training a discriminator network, which learns to detect segmentation errors, producing a dense segmentation error map. Unlike in adversarial networks, we train the discriminator offline by synthetically altering ground-truth segmentation labels with simple morphological and geometric operations. We then use the discriminator to train a segmentation neural network, by minimizing the discriminator predicted error jointly with a standard segmentation loss. This strategy results in segmentation models that are significantly more accurate when tested in unseen images than those only relying on data augmentation. This technique is very suitable to boost the performance of any state-of-the-art segmentation network and can be combined with other data augmentation strategies. This paper evaluates and validates our proposal by training and testing common state-of-the-art segmentation models in publicly available semantic segmentation datasets, specialized in laparoscopic and endoscopic surgery. The results show that our methods are effective, obtaining a significant improvement in terms of segmentation accuracy, especially in challenging small-size datasets.
Hierarchical convolutional features for visual tracking via two combined color spaces with SVM classifier

As the state-of-the-art object trackers majority, hierarchical convolutional features (HCF) cannot recover tracking processes from problems of drifting caused by several challenges, especially by heavy occlusion, scale variation, and illumination variation. In this paper, we present a new effective method with the aim of treating these challenges robustly based on two principal tasks. First, we infer the target location using multichannel correlation maps, resulting from the combination of five learned correlation filters with convolutional features. In order to handle the illumination variation and get more rich features, we exploit an HSV energy condition to control the use of two color spaces, RGB and HSV. Second, we use the histogram of gradient features to learn another correlation filter in order to estimate the scale variation. Furthermore, we exploit an online training SVM classifier for target re-detecting in failure cases. The extensive experiments on a commonly used tracking benchmark dataset justify that our tracker significantly improves HCF and outperforms the state-of-the-art methods.
Reversible Data Hiding in Block Compressed Sensing Images

Block compressed sensing (BCS) is widely used in image sampling and is an efficient, effective technique. Through the use of BCS, an image can be simultaneously compressed and encrypted. In this paper, a novel reversible data hiding (RDH) method is proposed to embed additional data into BCS images. The proposed method is the first RDH method of its kind for BCS images. Results demonstrate that our approach performs better compared with other state-of-the-art RDH methods on encrypted images.
Scientific Information System for Silk Road Education Study

In this paper, we present a scientific information system for the Silk Road education study. The proposed information system includes martial arts, dance, and play of seven countries (Korea, Japan, China, Mongolia, Kazakhstan, Uzbekistan, and Iran) of the Silk Road. The purpose of the information system is to promote convergence education for university students by providing a fundamental framework of the information system and traditional cultures. The basic concept of the information system can help university students to develop information and communications technology skills and to develop their own applications by collaborating with each other as a team. In addition, while developing the information system of martial arts, dance, and play of seven countries of the Silk Road, university students will understand the connection between traditional cultures and modern cultures of the Silk Road.
Cancer risk assessment and source apportionment of the gas- and particulate-phase of the polycyclic aromatic hydrocarbons in a metropolitan region in Brazil

A risk assessment and a source apportionment of the particulate- and gas-phase PAHs were conducted in a high vehicular traffic and industrialized region in southeastern Brazil. Higher concentrations of PAHs were found during summer, being likely driven by the contributions of PAHs in the vapor phase caused by fire outbreaks during this period. Isomer ratio diagnostic and Principal Component Analysis (PCA) identified four potential sources in the region, in which the Positive Matrix Factorization (PMF) model confirmed and apportioned as gasoline-related (31.8%), diesel-related (25.1%), biomass burning (23.4%), and mixed sources (19.6%). The overall cancer risk had a tolerable value, with ∑CR = 4.6 × 10-5, being ingestion the major via of exposure (64% of the ∑CR), followed by dermal contact (33% of the ∑CR) and inhalation (3%). Mixed sources contributed up to 45% of the overall cancer risk (∑CR), followed by gasoline-related (up to 35%), diesel-related (up to 15%), and biomass burning (up to 10%). The risk assessment for individual PAH species allowed identifying higher CR associated with BaP, DBA, BbF, BaA, and BkF, species associated with gasoline-related and industrial sources. Higher risks were associated with PM2.5-bound PAHs exposure, mainly via ingestion and dermal contact, highlighting the need for measures of mitigation and control of PM2.5 in the region.
Reimagining Ocean Stewardship: Arts-Based Methods to 'Hear' and 'See' Indigenous and Local Knowledge in Ocean Management

Current ocean management approaches are often characterised by economic or environmental objectives, paying limited consideration to social and cultural dimensions, as well as Indigenous and local knowledge. These approaches tend to inhibit ocean stewardship, often marginalising coastal communities or limiting people's access to spiritual, traditional and recreational uses of the ocean and coast. Piloting arts-based participatory research methods to co-create knowledge with co-researchers in Algoa Bay, South Africa finds that these methods can be useful in highlighting cultural connections to the ocean, and remembering and imagining, or reimagining, ways in which people relate to and care for the ocean and coast. For example, using photography and in situ storytelling often allows people to convey memories and histories of more accessible coastlines, or envisaging a future with more inclusive and participatory ocean management. The study finds that there is a strong sense of exclusion from and lack of access to coastal and ocean areas in Algoa Bay where Indigenous and local communities have depended on for spiritual, cultural and recreational purposes for several generations. Co-creation of knowledge regarding connections, values and priorities of the coast and ocean with Indigenous and local communities should therefore be planned for before the implementation of integrated ocean management approaches and intentionally designed as part of adaptive management processes. Emphasising these cultural connections, and better recognising them in ocean management has the potential to include i people's awareness of the ocean which could translate into an increased sense of care and stewardship towards the ocean and coast as people feel more connected to their contextual seascapes. This could in turn contribute to a more sustainable sociocultural approach to ocean management which is necessary for equitable and sustainable future ocean social-ecological wellbeing.
Novel antennas for ultra-wideband communications

Two novel antennas for UWB communications, both inspired from bowtie and triangular patch structures, art presented and tested. This paper proposes their studs, and optimization in order to cover the new WPAN standard and facilitate their integration oil communication devices. This work has then been centered around three specific goals: wide bandwidth, minimum size, and low cost. (C) 2004 Wiley Periodicals, Inc.
KPAC: A Kernel-Based Parametric Active Contour Method for Fast Image Segmentation

Object boundary detection has been a topic of keen interest to the signal processing and pattern recognition community. A popular approach for object boundary detection is parametric active contours. Existing parametric active contour approaches often suffer from slower convergence rates, difficulty dealing with complex high curvature boundaries, and are prone to being trapped in local optima in the presence of noise and background clutter. To address these problems, this paper proposes a novel kernel-based active contour (KPAC) approach, which replaces the conventional internal energy term used in existing approaches by incorporating an adaptive kernel derived for the underlying image characteristics. Experimental results demonstrate that the KPAC approach achieves state-of-the-art performance when compared to two other state-of-the-art parametric active contour approaches.
Public long-term care insurance scheme and informal care use among community-dwelling older adults in China

The public long-term care insurance (LTCI) scheme has been implemented in a few countries. Although the hypotheses of crowding-out, crowding-in and specialisation can facilitate our understanding of the relationship between LTCI and informal care use, existing studies may suffer from reverse causality. Employing a quasi-experimental design, this study examined the policy effect of LTCI on informal care use among community-dwelling older adults in China. Based on the data from three waves of the Chinese Longitudinal Healthy Longevity Survey, a staggered difference-in-differences (DID) with propensity score matching (PSM) approach was used to analyse the impact of LTCI on probability and hours of informal care use. The results showed that, for disabled older adults, LTCI reduced 43.3% of the probability and 82.4% of the weekly hours of informal care. LTCI also exhibited a spillover effect among nondisabled older adults through reducing the probability and weekly hours of informal care by 5.2% and 12.2%, respectively. Therefore, we argue that policymakers can consider rolling out the scheme for the entire country. Meanwhile, measures are needed to avoid a sharp decrease in informal care provision.
Metasurface-Assisted Wireless Communication with Physical Level Information Encryption

Since the discovery of wireless telegraphy in 1897, wireless communication via electromagnetic (EM) signals has become a standard solution to address increasing demand for information transfer in modern society. With the rapid growth of EM wave manipulation technique, programmable metasurface (PM) has emerged as a new type of wireless transmitter by directly modulating digital information without complex microwave components, thus providing an alternative to simplify the conventional wireless communication system. However, the challenges of improving information security and spectrum utilization still exist. Here, a dual-band metasurface-assisted wireless communication scheme is introduced to provide additional physical channels for the enhancement of information security. The information is divided into several parts and transmitted through different physical channels to accomplish information encryption, greatly reducing the possibility of eavesdropping. As the proof of concept, a dual-channel and high-security wireless communication system based on a 1-bit PM is established to simultaneously transmit two different parts of a picture to two receivers. Experiments show that the transmitted picture can be successfully retrieved only if the received signals of different receivers are synthetized as predefined. The proposed scheme provides a new route of employing PM in information encryption and spectrum utilization of wireless communication.
CircUBXN7 suppresses cell proliferation and facilitates cell apoptosis in lipopolysaccharide-induced cell injury by sponging miR-622 and regulating the IL6ST/JAK1/STAT3 axis

Acute respiratory distress syndrome (ARDS) is a common and serious respiratory illness with substantial morbidity and mortality. Circular RNAs have been demonstrated to participate in various diseases processes. However, the biological function and mechanism of most circular RNAs have not been elucidated in ARDS. In this study, we found that circUBXN7 was significantly increased in lipopolysaccharide (LPS)-induced A549 and Beas-2B cell injury. Inhibition of circUBXN7 significantly promoted cell proliferation and reduced cell apoptosis, while overexpression of circUBXN7 suppressed cell proliferation and accelerated cell apoptosis in LPS-induced A549 and Beas-2B cells. CircUBXN7 acted as a sponge for miR-622, and miR-622 rescued the effect of circUBXN7 on cell proliferation and apoptosis. We also found that IL6ST was a target gene of miR-622, and the expression of IL6ST was indirectly regulated by circUBXN7. Furthermore, western blotting indicated that the JAK1/STAT3 signaling pathway was involved in the circUBXN7/miR-622/IL6ST axis in LPS-induced A549 and Beas-2B cell injury. Overall, our study suggested that circUBXN7 suppressed cell proliferation and facilitated cell apoptosis by sponging miR-622 and regulating IL6ST, to activate the JAK1/STAT3 signaling pathway in LPS-induced A549 and Beas-2B cell injury. CircUBXN7 might therefore be a potential biomarker for ARDS, and dysregulation of circUBXN7 may be involved in the pathogenesis of ARDS.
A Flexible Hydrogen-Bonded Organic Framework Constructed from a Tetrabenzaldehyde with a Carbazole N-H Binding Site for the Highly Selective Recognition and Separation of Acetone

Rational design of hydrogen-bonded organic frameworks (HOFs) with multiple functionalities is highly sought after but challenging. Herein, we report a multifunctional HOF (HOF-FJU-2) built from 4,4',4'',4'''-(9H-carbazole-1,3,6,8-tetrayl)tetrabenzaldehyde molecule with tetrabenzaldeyde for their H bonding interactions and carbazole N-H site for its specific recognition of small molecules. The Lewis acid N-H sites allow HOF-FJU-2 facilely separate acetone from its mixture with another solvent like methanol with smaller pKa value. The donor (D)-π-acceptor (A) aromatic nature of the organic building molecule endows this HOF with solvent dependent luminescent/chromic properties, so the column acetone/methanol separation on HOF-FJU-2 can be readily visualized.
State-of-the-art W-band extended interaction klystron for the CloudSat program

This paper reviews the National Aeronautics and Space Administration (NASA)/Jet Propulsion Laboratory(JPL) CloudSat Extended Interaction Klystron requirements, design, performance, and development of a long life model for the European Space Agency (ESA)/Japan Aerospace Exploration Agency EarthCARE program plus Ka-band Extended Interaction Klystrons for the NASA/JPL Jupiter lcy Moons Orbiter and ESA European Global Precipitation Measurement Missions.
Circulating cell-free DNA for target quantification in hematologic malignancies: Validation of a protocol to overcome pre-analytical biases

Circulating tumor DNA (ctDNA) has become the most investigated analyte in blood. It is shed from the tumor into the circulation and represents a subset of the total cell-free DNA (cfDNA) pool released into the peripheral blood. In order to define if ctDNA could represent a useful tool to monitor hematologic malignancies, we analyzed 81 plasma samples from patients affected by different diseases. The results showed that: (i) the comparison between two different extraction methods Qiagen (Hilden, Germany) and Promega (Madison, WI) showed no significant differences in cfDNA yield, though the first recovered higher amounts of larger DNA fragments; (ii) cfDNA concentrations showed a notable inter-patient variability and differed among diseases: acute lymphoblastic leukemia and chronic myeloid leukemia released higher amounts of cfDNA than chronic lymphocytic leukemia, and diffuse large B-cell lymphoma released higher cfDNA quantities than localized and advanced follicular lymphoma; (iii) focusing on the tumor fraction of cfDNA, the quantity of ctDNA released was insufficient for an adequate target quantification for minimal residual disease monitoring; (iv) an amplification system proved to be free of analytical biases and efficient in increasing ctDNA amounts at diagnosis and in follow-up samples as shown by droplet digital PCR target quantification. The protocol has been validated by quality control rounds involving external laboratories. To conclusively document the feasibility of a ctDNA-based monitoring of patients with hematologic malignancies, more post-treatment samples need to be evaluated. This will open new possibilities for ctDNA use in the clinical practice.
Background subtraction in dynamic scenes using the dynamic principal component analysis

This study presents a foreground detection method capable of robustly estimating the background under the presence of dynamic effects. The key contribution of this study is the use of the dynamic principal component analysis to model the serial correlation between successive frames and construct a robust pixel-based background model. The frames are normalised in hue, saturation and value colour space to reduce the effect of illumination changes. To restrict the background model, kernel density estimation is used to identify the distribution of the background time-lagged data matrix and then confidence interval limits are used to determine the corresponding detection thresholds. The foreground is detected using background subtraction. This method is tested on several common sequences such as CDnet 2014, ETSI 2014 and MULTIVISION 2013. The authors also hold comparisons based on quantitative metrics with several state-of-the-art methods. Experimental results show that their method outperforms some state-of-the-art methods and has comparable performance with some depth-based methods.
Tert-butylhydroquinone abrogates fructose-induced insulin resistance in rats via mitigation of oxidant stress, NFkB-mediated inflammation in the liver but not the skeletal muscle of high fructose drinking rats

The effect of 21% fructose drinking water (FDW) (w/v) on some parameters of metabolic syndrome, hepatic, and skeletal muscular histology of rats was studied using standard techniques. Twenty male albino rats were divided into four groups of 5 rats each in this in vivo study. Group I received distilled water, group 2 received FDW, group 3 received FDW and metformin (300 mg/kg body weight daily, orally), group 4 received FDW and 1% tert-butylhydroquinone feed. FDW changed the serum leptin, triacylglycerol, very low-density lipoprotein, and C-reactive protein levels of the rats, inducing hypertriglyceridemia, oxidative stress, and inflammation in their liver (but not the skeletal muscle) and insulin resistance which were modulated with metformin and tBHQ as corroborated by liver and muscle histology. The study reveals the potentials of metformin and tBHQ in mitigating hepatic and skeletal muscular morphological changes arising from exposure to high fructose drinks. PRACTICAL APPLICATIONS: There has been an increase in the global consumption of fructose (either as a sweetner in beverages or soft and carbonated drinks) in the last few decades and this has been positively correlated with the global increase in metabolic complications. Regular intake of fructose contributes to the pathogenesis of lipid disorders, oxidant stress, and chronic inflammation, which are linked with the metabolic syndrome components (MetS) (obesity, insulin resistance, and cardiovascular diseases) as well as increased morbidity and mortality. Given that the approaches that have been applied to treat the MetS have not been able to totally arrest it, currenty study which showed that tBHQ abrogated fructose-induced insulin resistance, dyslipidemia, hepatic, and skeletal muscular pathology in the rats places tBHQ in the spotlight as a nutraceutical that could be of relevance in mitigating high dietary fructose-induced hepatic and skeletal muscular pathology.
Controlled Electrophoretic Deposition Strategy of Binder-Free CoFe2O4 Nanoparticles as an Enhanced Electrocatalyst for the Oxygen Evolution Reaction

The kinetic-sluggish oxygen evolution reaction (OER) is the main obstacle in electrocatalytic water splitting for sustainable production of hydrogen energy. Efficient water electrolysis can be ensured by lowering the overpotential of the OER by developing highly active catalysts. In this study, a controlled electrophoretic deposition strategy was used to develop a binder-free spinel oxide nanoparticle-coated Ni foam as an efficient electrocatalyst for water oxidation. Oxygen evolution was successfully promoted using the CoFe2O4 catalyst, and it was optimized by modulating the electrophoretic parameters. When optimized, CoFe2O4 nanoparticles presented more active catalytic sites, superior charge transfer, increased ion diffusion, and favorable reaction kinetics, which led to a small overpotential of 287 mV for a current density of 10 mA cm-2, with a small Tafel slope of 43 mV dec-1. Moreover, the CoFe2O4 nanoparticle electrode exhibited considerable long-term stability over 100 h without detectable activity loss. The results demonstrate promising potential for large-scale water splitting using Earth-abundant oxide materials via a simple and cheap fabrication process.