ahmedabdelwahed/Medical_papers_title_and_abstract_NLP_dataset huggingface dataset:
Establishment of a Culex tarsalis (Diptera: Culicidae) Cell Line and its Permissiveness to Arbovirus Infection

A cell line was established from Culex tarsalis Coquillett embryonated eggs and designated as CxTr. The cell line is heterogeneous, composed predominantly of small, round cells, and spindle-shaped cells with a doubling time of approximately 52-60 h. The identity of the cell line was verified as Cx. tarsalis by sequencing of cytochrome oxidase I and the cells were found to be free of contaminating cells, bacteria, fungi, and mycoplasma. The permissiveness of CxTr cells to arbovirus infection was investigated with vaccine and wildtype arboviruses from four viral families: Flaviviridae (Japanese encephalitis virus), Phenuiviridae (Rift Valley fever phlebovirus), Rhabdoviridae (vesicular stomatitis virus), and Togaviridae (Mayaro virus). All viruses were able to infect and replicate within CxTr cells.
Professional Self-Structuration in the Arts: Sustaining Creative Careers in the 21st Century

In this paper, we investigate the ongoing, self-motivated activity called freelancing or self-employment, and explore ideas about the entrepreneurial competencies needed to conduct a sustainable work life in the arts. We present the findings of a comparative concept analysis of three concept clusters concerning working in the arts and creative sector: Portfolio of jobs, Portfolio of hybrid practices, and the Portfolio/Protean career. We relate these concept clusters to ideas about arts entrepreneurship and professionalism in the arts in order to investigate our research questions: How do cultural workers/artists in today's social context create economically and creatively sustainable careers? What can we learn from their experiences about broader questions of the cultural value of art, the ongoing trend toward professionalization, and the changing roles of the worker and the entrepreneur in 21st-century economic life? To begin to answer these questions, we undertake a conceptual literature review and use conceptual mapping as a primary tool. We draw on a critical analysis of research, practice, and policy, as well as numerous discussions and interviews with creative professionals and the authors' own experiences with educating students who aim to become cultural workers in the creative sector. Based on our findings, we developed the Integrated Model for Self-Structuring Portfolio Professions. This model demonstrates how incomes and work practices tend to be clustered into portfolios that are self-structured by individual creative workers, acting as the entrepreneurs in their own career management and sustainability.
Real-Time License Plate Detection in High-Resolution Videos Using Fastest Available Cascade Classifier and Core Patterns

We present a novel method for real-time automatic license plate detection in high-resolution videos. Although there have been extensive studies of license plate detection since the 1970s, the suggested approaches resulting from such studies have difficulties in processing high-resolution imagery in real-time. Herein, we propose a novel cascade structure, the fastest classifier available, by rejecting false positives most efficiently. Furthermore, we train the classifier using the core patterns of various types of license plates, improving both the computation load and the accuracy of license plate detection. To show its superiority, our approach is compared with other state-of-the-art approaches. In addition, we collected 20,000 images including license plates from real traffic scenes for comprehensive experiments. The results show that our proposed approach significantly reduces the computational load in comparison to the other state-of-the-art approaches, with comparable performance accuracy.
Polish Architectural Lighting Design

Good lighting affects human safety, comfort and behaviour. Contemporary architectural lighting design in Poland is based on a approach to light planning which is a combination of visual and physical based experience and knowledge applied to design. (Polish Architectural Lighting Design).
Neutrophil-derived interleukin-17A participates in neuroinflammation induced by traumatic brain injury

After brain injury, infiltration and abnormal activation of neutrophils damages brain tissue and worsens inflammation, but the mediators that connect activated neutrophils with neuroinflammation have not yet been fully clarified. To identify regulators of neutrophil-mediated neuroinflammation after traumatic brain injury, a mouse model of traumatic brain injury was established by controlled cortical impact. At 7 days post-injury (sub-acute phase), genome-wide transcriptomic data showed that interleukin 17A-associated signaling pathways were markedly upregulated, suggesting that interleukin 17A may be involved in neuroinflammation. Double immunofluorescence staining showed that interleukin 17A was largely secreted by neutrophils rather than by glial cells and neurons. Furthermore, nuclear factor-kappaB and Stat3, both of which are important effectors in interleukin 17A-mediated proinflammatory responses, were significantly activated. Collectively, our findings suggest that neutrophil-derived interleukin 17A participates in neutrophil-mediated neuroinflammation during the subacute phase of traumatic brain injury. Therefore, interleukin 17A may be a promising therapeutic target for traumatic brain injury.
Compressive Bilateral Filtering

This paper presents an efficient constant-time bilateral filter that produces a near-optimal performance tradeoff between approximate accuracy and computational complexity without any complicated parameter adjustment, called a compressive bilateral filter (CBLF). The constant-time means that the computational complexity is independent of its filter window size. Although many existing constant-time bilateral filters have been proposed step-by-step to pursue a more efficient performance tradeoff, they have less focused on the optimal tradeoff for their own frameworks. It is important to discuss this question, because it can reveal whether or not a constant-time algorithm still has plenty room for improvements of performance tradeoff. This paper tackles the question from a viewpoint of compressibility and highlights the fact that state-of-the-art algorithms have not yet touched the optimal tradeoff. The CBLF achieves a near-optimal performance tradeoff by two key ideas: 1) an approximate Gaussian range kernel through Fourier analysis and 2) a period length optimization. Experiments demonstrate that the CBLF significantly outperforms state-of-the-art algorithms in terms of approximate accuracy, computational complexity, and usability.
Efficacy and Safety of Vasopressin Alone or in Combination With Catecholamines in the Treatment of Septic Shock: A Systematic Review

Septic shock is one of the life-threatening emergencies in hospital settings. Patients with septic shock have been treated with various vasopressors alone as a first-line or in combination with other agents to improve blood pressure and increase the chance of survival. Our study focuses particularly on the efficacy and safety of vasopressin (VP) alone and in combination with other vasopressors. Our study used Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, 2020 to do our systematic review. We searched thoroughly for articles in PubMed, PubMed Central (PMC), Medline, and ScienceDirect. To locate all pertinent papers, we employed the medical subject headings (MeSH) systematic search technique. Twelve papers that were related to the study's issue and passed the quality check were extracted after we applied inclusion/exclusion criteria and reviewed the titles and abstracts. We used a variety of assessment methods for diverse study designs as a quality check. We compared all included studies after reviewing them thoroughly. VP and its synthetic variants (Terlipressin and Selepressin) have always been given as adjuvants to catecholamine, especially with Noradrenaline, in low to moderate doses with continuous infusion in patients with septic shock. Furthermore, VP is a better adjuvant agent than Dopamine and Dobutamine. Though VP has been proven superior to other vasopressors as an adjuvant agent in patients with septic shock, it can cause digital ischemia in high doses.
Biofilm-Associated Infections in Chronic Wounds and Their Management

Chronic wounds including vascular ulcers, diabetic ulcers, pressure ulcers, and burn wounds show delayed progress through the healing process. Some of their common features are prolonged inflammation, persistent infection, and presence of biofilms resistant to antimicrobials and host immune response. Biofilm formation by opportunistic pathogens is a major problem in chronic wound management. Some of the commonly and traditionally used chronic wound management techniques are physical debridement and cleansing. In recent years, novel techniques based on anti-biofilm agents are explored to prevent biofilm-associated infections and facilitate wound healing. In this chapter, the role of biofilms formed by the ESKAPE pathogens (Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa) and Candida species in delayed wound healing have been discussed. The current and emerging techniques in the detection of biofilms for the management of wounds have been focused. The limitations of the existing therapeutics and novel wound management strategies have been deliberated.
State-of-the-art review of water pipe failure prediction models and applicability to large-diameter mains

This paper provides an overview of the work performed in the last 13 years to predict the failure of large-diameter trunk water mains. Large-diameter water mains, defined as water mains with a diameter greater than 500 mm, form the main transmission lines in most water distribution systems. The consequences of their failure can be severe and costly. In order for predictive models to be applicable to large-diameter water mains, all models reviewed are capable of analysing individual pipes or pipe segments and calculate either an absolute probability of failure or the hazard of failure relative to other pipes in the system. These models can be divided into two broad categories: physical and statistical models. This review provides a description and a brief critique for each model presented.
Structural measures to track the evolution of SNOMED CT hierarchies

The Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT) is an extensive reference terminology with an attendant amount of complexity. It has been updated continuously and revisions have been released semi-annually to meet users' needs and to reflect the results of quality assurance (QA) activities. Two measures based on structural features are proposed to track the effects of both natural terminology growth and QA activities based on aspects of the complexity of SNOMED CT. These two measures, called the structural density measure and accumulated structural measure, are derived based on two abstraction networks, the area taxonomy and the partial-area taxonomy. The measures derive from attribute relationship distributions and various concept groupings that are associated with the abstraction networks. They are used to track the trends in the complexity of structures as SNOMED CT changes over time. The measures were calculated for consecutive releases of five SNOMED CT hierarchies, including the Specimen hierarchy. The structural density measure shows that natural growth tends to move a hierarchy's structure toward a more complex state, whereas the accumulated structural measure shows that QA processes tend to move a hierarchy's structure toward a less complex state. It is also observed that both the structural density and accumulated structural measures are useful tools to track the evolution of an entire SNOMED CT hierarchy and reveal internal concept migration within it.
Dora's mother: a housewife's psychosis

I examine a speculative diagnosis made by Sigmund Freud regarding his patient's mother in his landmark 1905 paper describing a hysterical illness. Freud considered the impact of Dora's mother's mental state on her daughter, wondering whether the mother might suffer from a 'housewife's psychosis'. Here was an emphasis on the social structures of the times and differences between the parents in terms of sexual freedom and societal limitations placed on women. Freud's description drew attention to Dora's anxieties in relation to her parents, in particular the state of their sexual relationship and the apparently sanctioned entry of another couple, Frau and Herr K, into the parental relationship. In particular, the role of syphilis in the aetiology of sexual disturbances was considered, affecting men and their sexual partners, specifically their wives, who faced lifelong risks of morbidity, inadequate treatment and psychic disturbances at this time in 19th century Vienna.
Dilated residual encode-decode networks for image denoising

Owing to recent advancements, very deep convolutional neural networks (CNNs) have found application in image denoising. However, while deeper models lead to better restoration performance, they are marred by a high number of parameters and increased training difficulty. To address these issues, we propose a CNN-based framework, named dilated residual encode-decode networks (DRED-Net), for image denoising, which learns direct end-to-end mappings from corrupted images to obtain clean images using few parameters. Our proposed network consists of multiple layers of convolution and deconvolution operators; in addition, we use dilated convolutions to boost the performance of our network without increasing the depth of the model or its complexity. Extensive experiments on synthetic noisy images are conducted to evaluate DRED-Net, and the results are compared with those obtained using state-of-the-art denoising methods. Our experimental results show that DRED-Net leads to results comparable with those obtained using other state-of-the-art methods for image denoising tasks. (C) 2018 SPIE and IS&T
Activation of Angiotensin-converting Enzyme 2 Protects Against Lipopolysaccharide-induced Glial Activation by Modulating Angiotensin-converting Enzyme 2/Angiotensin (1-7)/Mas Receptor Axis

Neuroinflammation is associated with activation of glial cells and pro-inflammatory arm of the central Renin Angiotensin System (RAS) namely, Angiotensin-Converting Enzyme/Angiotensin II/Angiotensin Type 1 Receptor (ACE/Ang II/AT1R) axis. Apart from this, another axis of RAS also exists, Angiotensin-Converting Enzyme 2/Angiotensin (1-7)/Mas Receptor (ACE2/Ang (1-7)/MasR), which counters ACE/Ang II/AT1R axis by showing anti-inflammatory properties. However, the role of ACE2/Ang (1-7)/MasR axis has not been explored in glial activation and neuroinflammation. Hence, the present study tries to unveil the role of ACE2/Ang (1-7)/MasR axis in lipopolysaccharide (LPS)-induced neuroinflammation using diminazene aceturate (DIZE), an ACE2 activator, in astroglial (C6) and microglial (BV2) cells as well as male SD rats. We found that ACE2 activation efficiently prevented LPS-induced changes by decreasing glial activation, inflammatory signaling, cell migration, ROS generation via upregulation of ACE2/Ang (1-7)/MasR signaling. In addition, activation of ACE2/Ang (1-7)/MasR axis by DIZE significantly suppressed the pro-inflammatory ACE/Ang II/AT1R axis by reducing Ang II level in neuroinflammatory conditions induced by LPS in both in vitro and in vivo. ACE2/Ang (1-7)/MasR axis activation further decreased mitochondrial depolarization and apoptosis, hence providing neuroprotection. Furthermore, to validate that the beneficial effect of the ACE2 activator was indeed through MasR, a selective MasR antagonist (A779) was used that significantly blocked the anti-inflammatory effect of ACE2 activation by DIZE. Hence, our study demonstrated that ACE2 activation imparted neuroprotection by enhancing ACE2/Ang (1-7)/MasR signaling which in turn decreased glial activation, neuroinflammation, and apoptosis and improved mitochondrial health.
Partial Discreteness: A Novel Prior for Magnetic Resonance Image Reconstruction

An important factor influencing the quality of magnetic resonance (MR) images is the reconstruction method that is employed, and specifically, the type of prior knowledge that is exploited during reconstruction. In this work, we introduce a new type of prior knowledge, partial discreteness (PD), where a small number of regions in the image are assumed to be homogeneous and can be well represented by a constant magnitude. In particular, we mathematically formalize the partial discreteness property based on a Gaussian Mixture Model (GMM) and derive a partial discreteness image representation that characterizes the salient features of partially discrete images: a constant intensity in homogeneous areas and texture in heterogeneous areas. The partial discreteness representation is then used to construct a novel prior dedicated to the reconstruction of partially discreteMR images. The strength of the proposed prior is demonstrated on various simulated and real k-space data-based experiments with partially discrete images. Results demonstrate that the PD algorithm performs competitively with state-of-the-art reconstruction methods, being flexible and easy to implement.
Persistent HIV Viremia: Description of a Cohort of HIV Infected Individuals with ART Failure in Puerto Rico

The introduction of antiretroviral therapy (ART) has allowed human immunodeficiency virus (HIV) suppression in patients. We present data of a cohort of Puerto Rican patients with HIV who were under treatment with a steady regime of ART across a time horizon of eleven years. The time periods were categorized into four year stratums: 2000 to 2002; 2003 to 2005; 2006 to 2008 and 2009 to 2011. Socio-demographic profile, HIV risk factors, co-morbid conditions were included as study variables. One year mortality was defined. The p value was set at <= 0.05. The cohort consisted of 882 patients with 661 subjects presenting with persistent HIV viral load after a self-reported 12 month history of ART use. In this sub-cohort a higher viral load was seen across time (p < 0.05). Illicit drug use, IV drug use, alcohol use, loss of work were associated to having higher viral load means (p < 0.05). HIV viral load mean was lower as BMI increased (p < 0.001). It is imperative to readdress antiretroviral adherence protocols and further study ART tolerance and compliance.
Advanced Functional Decomposition Using Majority and Its Applications

Typical operators for the decomposition of Boolean functions in state-of-the-art algorithms are AND, exclusive-OR (XOR), and the 2-to-1 multiplexer (MUX). We propose a logic decomposition algorithm that uses the majority-of-three (MAJ) operation. Such a decomposition can extend the capabilities of current logic decompositions, but only found limited attention in the previous work. Our algorithm make use of a decomposition rule based on MAJ. Combined with disjoint-support decomposition, the algorithm can factorize XOR-majority graphs (XMGs), a recently proposed data structure which has XOR, MAJ, and inverters as only logic primitives. XMGs have been applied in various applications, including: 1) exact-synthesis-aware rewriting; 2) preoptimization for 6-input look-up table (6-LUT) mapping; and 3) synthesis of quantum circuits. An experimental evaluation shows that our algorithm leads to better XMGs compared to state-of-the-art algorithms based on XMGs, which positively affects all of these three applications. As one example, our experiments show that the proposed method achieves an average of 10% and 26% reduction on the LUTs size/depth product applied to the EPFL arithmetic and random control benchmarks after technology mapping, respectively.
Unstated Contributions - How Artistic Inquiry Can Inform Interdisciplinary Research

Since 1990, many creative disciplines, such as art, design and performance, have engaged increasingly with academic research. Accompanying this has been a good deal of interest in ways to employ their professional and creative practices as instruments of inquiry, just as previous disciplines have developed research methods that employ their specialist skills and knowledge. This raises questions about how research in the creative disciplines might contribute to knowledge and understanding. Research and practice in these fields may deal with matter that changes meaning with time or context, especially in art, where audiences may be expected to complete the meaning of creative works for themselves. This paper offers an oversight of these issues. It sets out some examples from the wider community that illustrate how incomplete or tacit contributions to inquiry can be a valuable and sometimes necessary part of the enterprise of creating knowledge, establishing a research model that is relevant in many areas, especially where disciplines collaborate. It goes on to set out tentative principles for such contributions.
High-accuracy filtering-based envelope generation and digital predistortion for wideband envelope tracking power amplifier

A high-accuracy filtering-based envelope generation technique for wideband envelope tracking power amplifiers (ET PAs) is proposed to improve PA efficiency with limited envelope bandwidth. It is achieved by optimizing the envelope generation block by employing three generalized rectification functions. The proposed envelope can be obtained by finding the proper coefficients in these generalized rectification functions. Furthermore, the digital predistortion can be employed to compensate for the nonlinearity and memory effect introduced by the proposed envelope. Experiments have been carried out on an ET system that is operated with the center frequency of 3.5 GHz, which have shown that the proposed technique can improve the PA efficiency by more than 2.2% with only 1.2x the modulated bandwidth compared to the state-of-the-art methods. The normalized mean square error can achieve -44.8 dB, and the adjacent channel leakage ratio can achieve better than -52 dBc. The proposed technique can improve the PA efficiency with limited envelope bandwidth compared to the state-of-the-art techniques, and the PA supplied by the proposed envelope can be linearized well, while it may cost more resources to find the proper coefficients of these three generalized rectification functions.