ahmedabdelwahed/Medical_papers_title_and_abstract_NLP_dataset huggingface dataset:
A generic reverse osmosis model for full-scale operation

Mathematical models can be a powerful tool in the operation of reverse osmosis (RO) facilities which is often challenged by a varying feed water quality. Most models, however, do not consider both full-scale and good modelling practice, which makes them less suited in practice. In this paper, a generic steady state model for RO was set-up and applied to a unique three-year data set from a full-scale RO process according to state-of-the-art good modelling practice. It was found that the model outputs are most sensitive towards the water and the solute permeability, and the feed spacer channel height, and therefore, only these parameters were calibrated. Furthermore, manufacturer's tests do not always reflect the full-scale situation, which highlights the importance of calibration. The model was validated with online conductivity data as input taking into account the uncertainty originating from online sensors, and compared to the commercial software Winflows. Despite the lack of long-term predictive power since fouling was not included, the model with online conductivity data as input showed satisfactory results, i.e. an average deviation from the data of 2.7%, 12.7%, 34.1% and 18.7% for respectively the recovery, the concentrate pressure, the permeate and concentrate solute concentration.
Cofired laminated ceramic package antenna for single-chip wireless transceivers

A novel concept for implementing art antenna ova art integrated circuit package is proposed for the single-chip solution of a wireless transceiver with the use of deep submicron CMOS technology. The prototype antenna printed on a 40-p-i-n dual-in-line cofired laminated ceramic package is experimentally studied at 3.45 GHz. The results show that the antenna has achieved a bandwidth of 25.1% and a gain of -2.0 dBi. (C) 2002 Wiley Periodicals, Inc.
Effects of Particulate Matter on the Risk of Gestational Hypertensive Disorders and Their Progression

Associations between particulate matter (PM) and gestational hypertensive disorders (GHDs) are well documented, but there is no evidence on the associations between PM and GHD progression, especially among those with assisted reproductive technology (ART) conceptions. To explore the effects of PM on the risk of GHDs and their progression among pregnant women with natural or ART conception, we enrolled 185,140 pregnant women during 2014-2020 in Shanghai and estimated the associations during different periods using multivariate logistic regression. During the 3 months of preconception, 10 mu g/m3 increases in PM concentrations were associated with increased risks of gestational hypertension (GH) (PM2.5: aOR = 1.076, 95% CI: 1.034-1.120; PM10: aOR = 1.042, 95% CI: 1.006-1.079) and preeclampsia (PM2.5: aOR = 1.064, 95% CI: 1.008-1.122; PM10: aOR = 1.048, 95% CI: 1.006-1.092 ) among women with natural conception. Furthermore, for women with ART conceptions who suffered current GHD, 10 mu g/m3 increases in PM concentrations in the third trimester elevated the risk of progression (PM2.5: aOR = 1.156, 95% CI: 1.022-1.306 ; PM10: aOR = 1.134, 95% CI: 1.013-1.270). In summary, women with natural conception should avoid preconceptional PM exposure to protect themselves from GH and preeclampsia. For women with ART conceptions suffering from GHD, it is necessary to avoid PM exposure in late pregnancy to prevent the disease from progressing.
ILLUMINATION IN RESTORATION WORKSHOPS: PRESSING CHALLENGES AND THEIR SOLUTIONS

Restoration workshops often stay in the periphery of museum life standing in the background of headline exhibitions. At the same time, restoration is an essential part of cultural heritage conservation. In this report, we would like to review the matters of formation of an optimal luminous environment using the workshops of the Grabar Art Conservation Centre as an example. The nature of light in a workshop is of primary importance for high quality of restoration work. We consider this case important since the Grabar Art Conservation Centre cooperates with many regional museums of Russia, and its experience may be interesting for museum practitioners.
Micro balun design and fabrication at 910 MHz and mobile RFID reader miniaturization thereby

This article represents a microchip balun for UHF mobile RFID system at 910 MHz. This balun is designed by transforming coupled transmission lines into lumped-element equivalent circuit, and thus monolithic elements that art fabricated by IPD technology replace it for entirely miniaturized size. The corresponding balun performs under 3 dB return loss, with nearly 176 (176.42) degree of phase difference characteristic; therefore, this meets the UHF mobile RFID reader system consideration. (C) 2008 Wiley Periodicals, Inc.
Targeting breast and pancreatic cancer metastasis using a dual-cadherin antibody

The successful application of antibody-based therapeutics in either primary or metastatic cancer depends upon the selection of rare cell surface epitopes that distinguish cancer cells from surrounding normal epithelial cells. By contrast, as circulating tumor cells (CTCs) transit through the bloodstream, they are surrounded by hematopoietic cells with dramatically distinct cell surface proteins, greatly expanding the number of targetable epitopes. Here, we show that an antibody (23C6) against cadherin proteins effectively suppresses blood-borne metastasis in mouse isogenic and xenograft models of triple negative breast and pancreatic cancers. The 23C6 antibody is remarkable in that it recognizes both the epithelial E-cadherin (CDH1) and mesenchymal OB-cadherin (CDH11), thus overcoming considerable heterogeneity across tumor cells. Despite its efficacy against single cells in circulation, the antibody does not suppress primary tumor formation, nor does it elicit detectable toxicity in normal epithelial organs, where cadherins may be engaged within intercellular junctions and hence inaccessible for antibody binding. Antibody-mediated suppression of metastasis is comparable in matched immunocompetent and immunodeficient mouse models. Together, these studies raise the possibility of antibody targeting CTCs within the vasculature, thereby suppressing blood-borne metastasis.
Role of regulatory pathways and multi-omics approaches for carbon capture and mitigation in cyanobacteria

Cyanobacteria are known for their metabolic potential and carbon capture and sequestration capabilities. These cyanobacteria are not only an effective source for carbon minimization and resource mobilization into value-added products for biotechnological gains. The present review focuses on the detailed description of carbon capture mechanisms exerted by the various cyanobacterial strains, the role of important regulatory pathways, and their subsequent genes responsible for such mechanisms. Moreover, this review will also describe effectual mechanisms of central carbon metabolism like isoprene synthesis, ethylene production, MEP pathway, and the role of Glyoxylate shunt in the carbon sequestration mechanisms. This review also describes some interesting facets of using carbon assimilation mechanisms for valuable bio-products. The role of regulatory pathways and multi-omics approaches in cyanobacteria will not only be crucial towards improving carbon utilization but also will give new insights into utilizing cyanobacterial bioresource for carbon neutrality.
Fast and efficient method for computing ART

Angular radial transform (ART), which is the region-based shape descriptor of MPEG-7, has desirable properties for representing shape information in a small number of features with no redundancy. However, in order for ART to be useful, especially in limited computing environments, the computational cost of ART must be greatly reduced. In this paper, we derive symmetric/antisymmetric properties from the basis functions of ART and present a fast and efficient method to compute the ART coefficients using these properties. The proposed method significantly reduces the number of sinusoidal operations and multiplications in computing the coefficients of ART. Moreover, the memory requirements needed to store the ART basis functions in lookup tables are only 25% of the conventional method. The experimental results are presented to show the effectiveness of the proposed method.
Hijacking the Peptidoglycan Recycling Pathway of Escherichia coli to Produce Muropeptides

Soluble fragments of peptidoglycan called muropeptides are released from the cell wall of bacteria as part of their metabolism or as a result of biological stresses. These compounds trigger immune responses in mammals and plants. In bacteria, they play a major role in the induction of antibiotic resistance. The development of efficient methods to produce muropeptides is, therefore, desirable both to address their mechanism of action and to design new antibacterial and immunostimulant agents. Herein, we engineered the peptidoglycan recycling pathway of Escherichia coli to produce N-acetyl-β-D-glucosaminyl-(1→4)-1,6-anhydro-N-acetyl-β-D-muramic acid (GlcNAc-anhMurNAc), a common precursor of Gram-negative and Gram-positive muropeptides. Inactivation of the hexosaminidase nagZ gene allowed the efficient production of this key disaccharide, providing access to Gram-positive muropeptides through subsequent chemical peptide conjugation. E. coli strains deficient in both NagZ hexosaminidase and amidase activities further enabled the in vivo production of Gram-negative muropeptides containing meso-diaminopimelic acid, a rarely available amino acid.
Tackling inadequate vitamin D intakes within the population: fortification of dairy products with vitamin D may not be enough

Dietary recommendations for vitamin D are designed by authoritative agencies to prevent vitamin D deficiency in the population, and while individual target intakes around the globe vary, they are generally between 10 and 20 μg/day [400-800 IU/day], depending on age, assuming little or no sunshine exposure. National dietary surveys report usual intakes of vitamin D that are much lower than these targets, at about 3-7 μg/day [120-280 IU/day], depending on usual diet, age, sex, and mandatory or voluntary fortification practices, and there is widespread dietary inadequacy around the globe. While acknowledging the valuable contribution fortified milk makes to vitamin D intakes among consumers, particularly in children, and the continued need for fortification of milk and other dairy products, additional strategic approaches to fortification, including biofortification, of a wider range of foods, have the potential to increase vitamin D intakes in the population and minimize the prevalence of low serum 25(OH)D without increasing the risk of excessive dosing. Careful consideration must be given to the range of products used for fortification and the amount of vitamin D used in each; there is a need for well-designed and sustainable fortification, and biofortification strategies for vitamin D, which use a range of foods to accommodate dietary diversity. Clinical patients may require additional consideration in terms of addressing low vitamin D status.
Binding of piperine to mycobacterial RNA polymerase improves the efficacy of rifampicin activity against Mycobacterium leprae and nontuberculous mycobacteria

Piperine (PPN) is a known inhibitor of efflux pumps in Mycobacterium tuberculosis and in vitro synergism with rifampicin (RIF) has been proven. The current study evaluates the activity of PPN and synergism with RIF in rapidly and slowly growing nontuberculous mycobacteria (NTM). Also, to propose a possible mechanism of interaction of PPN with M. leprae (Mlp) RNA polymerase (RNAp). Minimal inhibitory concentration and drug combination assay was determined by resazurin microtiter assay and resazurin drug combination assay, respectively. In silico evaluation of PPN binding was performed by molecular docking and molecular dynamics (MD). PPN showed higher antimicrobial activity against rapidly growing NTM (32-128 mg/L) rather than for slowly growing NTM (≥ 256 mg/L). Further, 77.8% of NTM tested exhibited FICI ≤ 0.5 when exposed to PPN and RIF combination, regardless of growth speed. Docking and MD simulations showed a possible PPN binding site at the interface between β and β' subunits of RNAp, in close proximity to the trigger-helix and bridge-helix elements. MD results indicated that PPN binding hindered the mobility of these elements, which are essential for RNA transcription. We hypothesize that PPN binding might affect mycobacterial RNAp activity, and, possibly, RIF activity and that this mechanism is partially responsible for synergic behaviors with RIF reported in vitro. Communicated by Ramaswamy H. Sarma.
Optimal fault ride through compliance of offshore wind power plants with VSC-HVDC connection by meta-heuristic based tuning

This paper presents a novel iterative procedure augmented by electromagnetic transient type simulations and the state of the art mean variance mapping optimization algorithm. The aforementioned procedure enables the optimal tuning of coordinated fault ride through compliance strategies for offshore wind power plants with VSC-HVDC transmission. In particular, the formulated optimization task minimizes the electrical stresses experienced by the VSC-HVDC system and the offshore wind power plants during onshore faults. Moreover, it ensures that the onshore and offshore grid code profiles are not vicilated due to unwanted dynamics associated with the combined response of the VSC-HVDC system and the wind power plants. Two state of the art coordinated fault ride through strategies are optimized, namely the voltage drop and the frequency modulation technique. Simulation results demonstrate that the optimal tuning of coordinated fault ride through compliance strategies by the proposed iterative procedure enables improved dynamic response and reduced electrical stresses for the offshore wind power plant and the VSC-HVDC transmission. (C) 2016 Elsevier B.V. All rights reserved.
SFOD-Trans: semi-supervised fine-grained object detection framework with transformer module

As the labeling cost of object detection for medical images is very high, semi-supervised learning methods for medical images are investigated. In this paper, semi-supervised fine-grained object detection framework with transformer module (SFOD-Trans) is proposed for hepatic portal vein detection. It adopts Sparse R-CNN as the backbone. In detection model, the transformer module is introduced and contrastive loss is added to improve the performance of fine-grained object detection. In order to complete the information transfer both of labeled and unlabeled pictures, a new fusion module named normalized ROI fusion (NRF) is designed based on the characteristics of hepatic portal vein. We run a large number of experiments on a dataset of 1000 real CT scans. The results show that Average Precision (AP) and Average Recall (AR) of the proposed method reach 0.773 and 0.831 respectively with the 300 labeled and 1500 unlabeled samples. An overview of semi-supervised fine-grained object detection framework with transformer module (SFOD-Trans). There are two parallel branches to train supervised loss and semi-supervised loss respectively.
Experimental analysis of optimization techniques on the road passenger transportation problem

Analyzing the state of the art in a given field in order to tackle a new problem is always a mandatory task. Literature provides surveys based on summaries of previous studies, which are often based on theoretical descriptions of the methods. An engineer, however, requires some evidence from experimental evaluations in order to make the appropriate decision when selecting a technique for a problem. This is what we have done in this paper: experimentally analyzed a set of representative state-of-the-art techniques in the problem we are dealing with, namely, the road passenger transportation problem. This is an optimization problem in which drivers should be assigned to transport services, fulfilling some constraints and minimizing some function cost. The experimental results have provided us with good knowledge of the proper-ties of several methods, such as modeling expressiveness, anytime behavior, computational time, memory requirements, parameters, and free downloadable tools. Based on our experience, we are able to choose a technique to solve our problem. We hope that this analysis is also helpful for other engineers facing a similar problem. (C) 2008 Elsevier Ltd. All rights reserved.
Travelling Wave Expansion: A Model Fitting Approach to the Inverse Problem of Elasticity Reconstruction

In this paper, a novel approach to the problem of elasticity reconstruction is introduced. In this approach, the solution of the wave equation is expanded as a sum of waves travelling in different directions sharing a common wave number. In particular, the solutions for the scalar and vector potentials which are related to the dilatational and shear components of the displacement respectively are expanded as sums of travelling waves. This solution is then used as a model and fitted to the measured displacements. The value of the shear wave number which yields the best fit is then used to find the elasticity at each spatial point. The main advantage of this method over direct inversion methods is that, instead of taking the derivatives of noisy measurement data, the derivatives are taken on the analytical model. This improves the results of the inversion. The dilatational and shear components of the displacement can also be computed as a byproduct of the method, without taking any derivatives. Experimental results show the effectiveness of this technique in magnetic resonance elastography. Comparisons are made with other state-of-the-art techniques.
Incorporating artistic thinking into sustainability

Arts have great potential to facilitate sustainability. However, as a growing research field, it is still not clear how and what factors of arts can be applied to promote sustainable behavior. This paper summarizes five key factors of artistic thinking, including novelty, criticism, perfectionism, unique, and passion; each of them reveals clues to addressing sustainability issues. Meaningful examples are presented to demonstrate the proposed ideas, and the implications for researchers and practitioners are discussed. The results suggest that turning any form of art-making processes into service offerings can help companies work with their customers and co-create sustainable value with them. Artistic thinking also encourages hands-on programs and problem-based learning that benefit education for sustain ability. To link artistic thinking to behavior change, more art-making and art learning programs for citizens and communities should be developed. (C) 2018 Elsevier Ltd. All rights reserved.
Omicron variant of SARS-CoV-2: a review of existing literature

On November 24th, 2021 a case of a new viral variant of SARS-CoV-2 was reported by South Africa and Botswana to WHO, which later was designated as the variant of concern on 26th November 2021. It has around 60 mutations (50 non synonymous, 8 synonymous, and 2 non coding) as compared to the original parent strain of Wuhan. Different hypotheses have been put forward as an explanation for the origin like reverse zoonosis i.e. animal to human transmission, origin from an immune compromised patient or use of highly mutagenic drug like molnupiravir as treatment. A huge spike in cases around the globe is suggestive of a high rate of infectivity and transmissivity as compared to the previous known variants. With whatever cases have been documented so far, it is said that omicron causes mostly mild clinical illnesses and there is a less chance of hospitalization according to the clinicians. Among the reported cases, there were already vaccinated patients also. So there is a possibility that omicron might be able to evade the vaccine induced immunity due to a huge number of mutations (especially in the spike protein sequences). Until new vaccines specific to the pathogen are being developed, the coverage of the currently acceptable vaccines should be increased so that none is deprived of the mandatory doses and a third booster dose might help to reduce the chances of serious complications of this new strain beforehand. So an equal focus on the host and environment is required along with the pathogen.
Dual Referenced Composite Free Layer Design for Improved Switching Efficiency of Spin-Transfer Torque Random Access Memory

A composite free layer spin-transfer torque random access memory (STT-RAM) cell is proposed for ultra-high density memory. The structure consists of three layers-a high anisotropy interior layer and two low anisotropy outer layers that assist the switching of the interior layer via exchange coupling. Efficiencies (k(BT)/mu A) of 4.5 and 4.1 are achieved for the proposed structure with perpendicular and longitudinal anisotropies, respectively. An efficiency of 4.3 is obtained for the state-of-the-art single-layer dual-referenced structure with perpendicular anisotropy. Simulation of the conventional singlelayer structure with perpendicular anisotropy yields an efficiency of 1.6. Therefore, the proposed structure with perpendicular anisotropy achieves an improvement of 5% and 181% relative to the state-of-the-art dual-referenced and conventional STT-RAM cells, respectively. Furthermore, use of low anisotropy assistive layers enables reduction of Gilbert damping and an increase of partial spin polarization within those low anisotropy layers-not feasible with single layer structures that require high anisotropy for thermal stability. This significantly increases perpendicular and longitudinal efficiencies to 8.5 and 6.8, respectively. Therefore, this augmented proposed structure with perpendicular anisotropy achieves an improvement of 99% and 446% relative to the state-of-the-art dual-referenced and conventional STT-RAM cells, respectively.
Decommodify the 2030 Agenda: Why and How to Finance What Is Not Profitable?

The 2030 Agenda serves as a guide for current economic policy. Despite this, the dominant political and economic discourse still relies on the market for success. Incentives are being developed to create business opportunities that align with the sustainable development goals. However, funding for these projects ultimately depends on their potential profitability. As a result, economic growth is seen as a necessary condition for achieving the 2030 Agenda. This approach leaves culture and the arts behind, as they are difficult to commodify. The artist job market highlights the tension between the democratic value of the arts and the values of the capitalist system. This challenge is seen in both the field of cultural economics and in discussions of culture's role in meeting the 2030 Agenda's sustainable development goals. To address this, the study proposes incorporating culture into a funding strategy not based on the private market by using the employer of last resort or job guarantee policy for future applications. This will redirect focus from the economic value of the arts to their value for human development, ultimately realizing the goals set by the 2030 Agenda.