ahmedabdelwahed/Medical_papers_title_and_abstract_NLP_dataset huggingface dataset:
The growing need for reliable online health information during lockdown in Europe: An infodemiologic analysis of myocardial infarction management in the COVID-19 era

I n t r o d u c t i o n: The COVID-19 pandemic has put healthcare systems worldwide under huge strain, resulting in a significant loss of their capacity and availability. Patients have become more reluctant to contact their doctors or call an ambulance in case of myocardial infarction (MI) symptoms onset. It has been accompanied by a significant decrease in the number of coronary angiography and PCI procedures performed. O b j e c t i v e s: The aim of the study is to evaluate the role of online health information in the patient- dependent phase of MI management during the COVID-19 lockdown in Europe. Methods: We analyzed Google Trends data on the popularity of phrases related to MI symptoms, respiratory tract infection, urological complaints, and terms unrelated to health, for the period of the first COVID-19 lockdown, along with the data from the corresponding weeks from 2017-2019 in seven European countries. R e s u l t s: The search volume for particular symptoms of myocardial infarction increased in all studied countries, compared to the analogous period from 2017-2019, with a significant increase in for chest pain, shortness of breath, fear, and palpitations in most countries. These changes have not been accompanied by increased interest in terms related to respiratory tract infection symptoms and urological complaints. C o n c l u s i o n s: Our findings suggest that during lockdown, patients with MI symptoms may have tried to manage their complaints on their own, using information from the Internet. This demonstrates the growing role of the Internet in the patient's decision-making process in the emergency situation, indicating a growing need for reliable and freely available online information provided by healthcare professionals.
Network Flow Integer Programming to Track Elliptical Cells in Time-Lapse Sequences

We propose a novel approach to automatically tracking elliptical cell populations in time-lapse image sequences. Given an initial segmentation, we account for partial occlusions and overlaps by generating an overcomplete set of competing detection hypotheses. To this end, we fit ellipses to portions of the initial regions and build a hierarchy of ellipses, which are then treated as cell candidates. We then select temporally consistent ones by solving to optimality an integer program with only one type of flow variables. This eliminates the need for heuristics to handle missed detections due to partial occlusions and complex morphology. We demonstrate the effectiveness of our approach on a range of challenging sequences consisting of clumped cells and show that it outperforms state-of the-art techniques.
MMP-12 knockdown prevents secondary brain damage after ischemic stroke in mice

We previously reported that increased expression of matrix metalloproteinase-12 (MMP-12) mediates blood-brain barrier disruption via tight junction protein degradation after focal cerebral ischemia in rats. Currently, we evaluated whether MMP-12 knockdown protects the post-stroke mouse brain and promotes better functional recovery. Adult male mice were injected with negative siRNA or MMP-12 siRNA (intravenous) at 5 min of reperfusion following 1 h transient middle cerebral artery occlusion. MMP-12 knockdown significantly reduced the post-ischemic infarct volume and improved motor and cognitive functional recovery. Mechanistically, MMP-12 knockdown ameliorated degradation of tight junction proteins zonula occludens-1, claudin-5, and occludin after focal ischemia. MMP-12 knockdown also decreased the expression of inflammatory mediators, including monocyte chemoattractant protein-1, tumor necrosis factor-α, and interleukin-6, and the expression of apoptosis marker cleaved caspase-3 after ischemia. Overall, the present study indicates that MMP-12 promotes secondary brain damage after stroke and hence is a promising stroke therapeutic target.
Efficient full-flow process simulation for 3D structures including stress modeling

The need to use 3D process simulation increases as device dimensions shrink and new 3D device designs emerge. Moreover, many state-of-the art CMOS devices employ some sort of stress engineering, which necessitates 3D stress simulations. To perform these simulations efficiently and quickly, new methodologies need to be employed. In this paper we demonstrate several applications of the next generation TCAD tools to 3D simulation problems critical for understanding and development of modern devices.
Dermoid Cyst Spillage Resulting in Chemical Peritonitis: A Case Report and Literature Review

A dermoid cyst, also called a mature teratoma, is a benign tumor of the ovary derived from pluripotent germ cells. It is often asymptomatic; however, it can be expressed by several complications, including infection, adnexal torsion, and rupture. Rarely ovarian dermoid cysts can also transform into malignant degeneration. A ruptured teratoma is a rare and life-threatening complication and may arise spontaneously. However, cystic rupture is often secondary to surgical procedures such as ovarian cystectomy, leading to acute peritonitis and surgical emergency. Herein, we report a case of acute peritonitis in a female resulting from ovarian dermoid cyst spillage. Her clinical picture and radiological imaging were consistent with a ruptured ovarian cyst leading to chemical peritonitis, and a histopathological examination confirmed an ovarian dermoid cyst.
Minimum margin loss for deep face recognition

Face recognition has achieved great success owing to the fast development of deep neural networks in the past few years. Different loss functions can be used in a deep neural network resulting in different performance. Most recently some loss functions have been proposed, which have advanced the state of the art. However, they cannot solve the problem of margin bias which is present in class imbalanced datasets, having the so-called long-tailed distributions. In this paper, we propose to solve the margin bias problem by setting a minimum margin for all pairs of classes. We present a new loss function, Minimum Margin Loss (MML), which is aimed at enlarging the margin of those overdose class centre pairs so as to enhance the discriminative ability of the deep features. MML, together with Softmax Loss and Centre Loss, supervises the training process to balance the margins of all classes irrespective of their class distributions. We implemented MML in Inception-ResNet-v1 and conducted extensive experiments on seven face recognition benchmark datasets, MegaFace, FaceScrub, LFW, SLLFW, YTF, IJB-B and IJB-C. Experimental results show that the proposed MML loss function has led to new state of the art in face recognition, reducing the negative effect of margin bias. (C) 2019 Elsevier Ltd. All rights reserved.
Altered intrinsic organisation of brain networks implicated in attentional processes in adult attention-deficit/hyperactivity disorder: a resting-state study of attention, default mode and salience network connectivity

Deficits in task-related attentional engagement in attention-deficit/hyperactivity disorder (ADHD) have been hypothesised to be due to altered interrelationships between attention, default mode and salience networks. We examined the intrinsic connectivity during rest within and between these networks. Six-minute resting-state scans were obtained. Using a network-based approach, connectivity within and between the dorsal and ventral attention, the default mode and the salience networks was compared between the ADHD and control group. The ADHD group displayed hyperconnectivity between the two attention networks and within the default mode and ventral attention network. The salience network was hypoconnected to the dorsal attention network. There were trends towards hyperconnectivity within the dorsal attention network and between the salience and ventral attention network in ADHD. Connectivity within and between other networks was unrelated to ADHD. Our findings highlight the altered connectivity within and between attention networks, and between them and the salience network in ADHD. One hypothesis to be tested in future studies is that individuals with ADHD are affected by an imbalance between ventral and dorsal attention systems with the former playing a dominant role during task engagement, making individuals with ADHD highly susceptible to distraction by salient task-irrelevant stimuli.
Design and implementation of environmental design based on new energy technology

In recent years, China's new energy industry has developed rapidly. The role of new energy in promoting the economy is also becoming more and more obvious. Over time, the world's energy structure will undergo earth-shaking changes. This paper aims to study how to conduct research on environmental design based on new energy technologies. This paper presents the basic concepts of new energy technology and environmental design. The experimental results of this paper show that although the energy consumption of traditional environmental art design is not increasing all the time, the general trend is rising. From about 65% at the beginning to about 90% at the end, it shows that the energy consumption generated by traditional environmental art design is very huge. This also leads to increased environmental design costs and damage to the environment. The overall energy consumption of environmental art design based on new energy technology is only between 20% and 30%. Whether it is viewed from the perspective of the sustainable development of the economy and society and the protection of the earth's ecological environment on which human beings depend, or the practical energy supply for some special purposes, the development of new energy is of great strategic significance. This shows that the new energy technology saves a lot of cost for environmental art design, and has little damage to the environment. It can be seen that it is very meaningful to apply new energy technology to environmental design.(c) 2022 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
RERBEE: Robust Efficient Registration via Bifurcations and Elongated Elements Applied to Retinal Fluorescein Angiogram Sequences

We present RERBEE (robust efficient registration via bifurcations and elongated elements), a novel feature-based registration algorithm able to correct local deformations in high-resolution ultra-wide field-of-view (UWFV) fluorescein angiogram (FA) sequences of the retina. The algorithm is able to cope with peripheral blurring, severe occlusions, presence of retinal pathologies and the change of image content due to the perfusion of the fluorescein dye in time. We have used the computational power of a graphics processor to increase the performance of the most computationally expensive parts of the algorithm by a factor of over 1300, enabling the algorithm to register a pair of 3900 3072 UWFV FA images in 5-10 min instead of the 5-7 h required using only the CPU. We demonstrate accurate results on real data with 267 image pairs from a total of 277 (96.4%) graded as correctly registered by a clinician and 10 (3.6%) graded as correctly registered with minor errors but usable for clinical purposes. Quantitative comparison with state-of-the-art intensity-based and feature-based registration methods using synthetic data is also reported. We also show some potential usage of a correctly aligned sequence for vein/artery discrimination and automatic lesion detection.
Res2Net: A New Multi-Scale Backbone Architecture

Representing features at multiple scales is of great importance for numerous vision tasks. Recent advances in backbone convolutional neural networks (CNNs) continually demonstrate stronger multi-scale representation ability, leading to consistent performance gains on a wide range of applications. However, most existing methods represent the multi-scale features in a layer-wise manner. In this paper, we propose a novel building block for CNNs, namely Res2Net, by constructing hierarchical residual-like connections within one single residual block. The Res2Net represents multi-scale features at a granular level and increases the range of receptive fields for each network layer. The proposed Res2Net block can be plugged into the state-of-the-art backbone CNN models, e.g., ResNet, ResNeXt, and DLA. We evaluate the Res2Net block on all these models and demonstrate consistent performance gains over baseline models on widely-used datasets, e.g., CIFAR-100 and ImageNet. Further ablation studies and experimental results on representative computer vision tasks, i.e., object detection, class activation mapping, and salient object detection, further verify the superiority of the Res2Net over the state-of-the-art baseline methods. The source code and trained models are available on https://mmcheng.net/res2net/.
[Options for reconstruction after injuries in the head and neck region]

Reconstruction of lesions in the head and neck region must be both functionally and esthetically adequate, as the exposed anatomic position can easily lead to social stigmatization after injury. Distortion of symmetry, e.g., by a crooked nose, enophthalmos, or a (partial) amputation of the outer ear, is easily visible. On the other hand, limitations to nasal breathing and olfaction or diplopia may significantly reduce quality of life, and restoration of form and function continues to be challenging. This review discusses the treatment options for trauma of the external nose and the lateral midface, including the orbital floor and the auricle.
Vehicle Detection under Adverse Weather from Roadside LiDAR Data

Roadside light detection and ranging (LiDAR) is an emerging traffic data collection device and has recently been deployed in different transportation areas. The current data processing algorithms for roadside LiDAR are usually developed assuming normal weather conditions. Adverse weather conditions, such as windy and snowy conditions, could be challenges for data processing. This paper examines the performance of the state-of-the-art data processing algorithms developed for roadside LiDAR under adverse weather and then composed an improved background filtering and object clustering method in order to process the roadside LiDAR data, which was proven to perform better under windy and snowy weather. The testing results showed that the accuracy of the background filtering and point clustering was greatly improved compared to the state-of-the-art methods. With this new approach, vehicles can be identified with relatively high accuracy under windy and snowy weather.
An RNA-Seq-based reference transcriptome for Citrus

Previous RNA-Seq studies in citrus have been focused on physiological processes relevant to fruit quality and productivity of the major species, especially sweet orange. Less attention has been paid to vegetative or reproductive tissues, while most Citrus species have never been analysed. In this work, we characterized the transcriptome of vegetative and reproductive tissues from 12 Citrus species from all main phylogenetic groups. Our aims were to acquire a complete view of the citrus transcriptome landscape, to improve previous functional annotations and to obtain genetic markers associated with genes of agronomic interest. 28 samples were used for RNA-Seq analysis, obtained from 12 Citrus species: C. medica, C. aurantifolia, C. limon, C. bergamia, C. clementina, C. deliciosa, C. reshni, C. maxima, C. paradisi, C. aurantium, C. sinensis and Poncirus trifoliata. Four different organs were analysed: root, phloem, leaf and flower. A total of 3421 million Illumina reads were produced and mapped against the reference C. clementina genome sequence. Transcript discovery pipeline revealed 3326 new genes, the number of genes with alternative splicing was increased to 19,739, and a total of 73,797 transcripts were identified. Differential expression studies between the four tissues showed that gene expression is overall related to the physiological function of the specific organs above any other variable. Variants discovery analysis revealed the presence of indels and SNPs in genes associated with fruit quality and productivity. Pivotal pathways in citrus such as those of flavonoids, flavonols, ethylene and auxin were also analysed in detail.
Dynamic Dominating Set and Turbo-Charging Greedy Heuristics

The main purpose of this paper is to exposit two very different, but very general, motivational schemes in the art of parameterization and a concrete example connecting them. We introduce a dynamic version of the DOMINATING SET problem and prove that it is fixed-parameter tractable (FPT). The problem is motivated by settings where problem instances evolve. It also arises in the quest to improve a natural greedy heuristic for the DOMINATING SET problem.
Optically induced static power in combinational logic: Vulnerabilities and countermeasures

Physical attacks, namely invasive, observation, and combined, represent a great challenge for today's digital design. Successful class of strategies adopted by industry, allowing hiding data dependency of the side channel emissions in CMOS is based on balancing. Although attacks on CMOS dynamic power represent a class of state-ofthe-art attacks, vulnerabilities exploiting data dependency in CMOS static power and light-modulated static power were recently presented. In this paper, we describe structures and techniques developed to enhance and balance the power imprint of the traditional static CMOS bulk structures under invasive light attack. The novel standard cells designed according to the presented techniques in the TSMC180nm technology node were used to synthesize the dual-rail AES SBOX block. The behavior of the AES SBOX block composed of the novel cells is compared to classical approaches. Usage of novel cells enhances circuit security under invasive light attack while preserving comparable circuit resistance against state-of-the-art power attacks.
Identification of Key Genes during Ca2+-Induced Genetic Transformation in Escherichia coli by Combining Multi-Omics and Gene Knockout Techniques

The molecular mechanism of the Ca2+-mediated formation of competent cells in Escherichia coli remains unclear. In this study, transcriptome and proteomics techniques were used to screen genes in response to Ca2+ treatment. A total of 333 differentially expressed genes (317 upregulated and 16 downregulated) and 145 differentially expressed proteins (54 upregulated and 91 downregulated) were obtained. These genes and proteins are mainly enriched in cell membrane components, transmembrane transport, and stress response-related functional terms. Fifteen genes with these functions, including yiaW, ygiZ, and osmB, are speculated to play a key role in the cellular response to Ca2+. Three single-gene deletion strains were constructed with the Red homologous recombination method to verify its function in genetic transformation. The transformation efficiencies of yiaW, ygiZ, and osmB deletion strains for different-size plasmids were significantly increased. None of the three gene deletion strains changed in size, which is one of the main elements of microscopic morphology, but they exhibited different membrane permeabilities and transformation efficiencies. This study demonstrates that Ca2+-mediated competence formation in E. coli is not a simple physicochemical process and may involve the regulation of genes in response to Ca2+. This study lays the foundation for further in-depth analyses of the molecular mechanism of Ca2+-mediated transformation. IMPORTANCE Using transcriptome and proteome techniques and association analysis, we identified several key genes involved in the formation of Ca2+-mediated E. coli DH5α competent cells. We used Red homologous recombination technology to construct three single-gene deletion strains and found that the transformation efficiencies of yiaW, ygiZ, and osmB deletion strains for different-size plasmids were significantly increased. These results proved that the genetic transformation process is not only a physicochemical process but also a reaction process involving multiple genes. These results suggest ways to improve the horizontal gene transfer mechanism of foodborne microorganisms and provide new ideas for ensuring the safety of food preservation and processing.
Additional balloon aortic valvuloplasty to overcome the difficult removal of a self-expandable transcatheter aortic valve system due to valve infolding

Transcatheter aortic valve replacement (TAVR) is a well-established treatment for severe aortic stenosis. Advances in the devices used and operators' technique have reduced the frequency of complications. However, valve infolding is a rare but serious outcome after the implantation of self-expanding prostheses. We report a case of a successful bailout of a device that was difficult to remove because of valve infolding. TAVR using a 26 mm Evolut PRO+ system (Medtronic) was planned for a 91-year-old woman with severe aortic stenosis. After the valve was deployed in a satisfactory position on the second release, the system could not be removed because the nose cone was hooked to the basal frame of the deployed valve. To overcome this situation, an additional balloon was inserted from the contralateral femoral side and inflated, and we extracted the system successfully by pulling out the device while simultaneously deflating the balloon. Postoperative computed tomography revealed valve infolding, which was considered to cause the difficulty in system removal. Infoldings of self-expandable prostheses should be considered when faced with difficulty in removing the catheter system, and the method elucidated in this case report can be effective to manage it.
A 0.0023 mm(2)/ch. Delta-Encoded, Time-Division Multiplexed Mixed-Signal ECoG Recording Architecture With Stimulus Artifact Suppression

This article demonstrates a scalable, time-division multiplexed biopotential recording front-end capable of real-time differential- and common-mode artifact suppression. A delta-encoded recording architecture exploits the power spectral density (PSD) characteristics of Electrocorticography (ECoG) recordings, combining an 8-bit ADC, and an 8-bit DAC to achieve 14 bits of dynamic range. The flexibility of the digital feedback architecture is leveraged to time-division multiplex 64 differential input channels onto a shared mixed-signal front-end, reducing channel area by 2x compared to the state-of-the-art. The feedback DAC used for delta-encoding also serves to cancel differential artifacts with an off-chip adaptive loop. Analysis of this architecture and measured silicon performance of a 65 nm CMOS test-chip implementation, both on the bench and in-vivo, are included with this paper.
Stumped by the Mystery: A Case Report of Progressive Shortening of Bone Following an Above-Knee Amputation

Several studies have investigated the anatomical adaptations in amputation stumps. In this study, we present a case report of a patient who underwent an above-the-knee amputation and, over the course of time, the length of the residual bone spontaneously shortened. The patient had undergone a total hip replacement in the same leg, and the cement mantle of the hip replacement, which could be seen within the medullary canal in the early postoperative X-rays, protruded due to bone resorption one year after the amputation. Although changes in bone microarchitecture in amputation stumps are well established, this is the first report of macroscopic changes in its actual length.