ahmedabdelwahed/Medical_papers_title_and_abstract_NLP_dataset huggingface dataset:
Unravelling the pharmacological properties of cryptolepine and its derivatives: a mini-review insight

Cryptolepine (1,5-methyl-10H-indolo[3,2-b]quinoline), an indoloquinoline alkaloid, found in the roots of Cryptolepis sanguinolenta (Lindl.) Schltr (family: Periplocaceae), is associated with the suppression of cancer and protozoal infections. Cryptolepine also exhibits anti-bacterial, anti-fungal, anti-hyperglycemic, antidiabetic, anti-inflammatory, anti-hypotensive, antipyretic, and antimuscarinic properties. This review of the latest research data can be exploited to create a basis for the discovery of new cryptolepine-based drugs and their analogues in the near future. PubMed, Scopus, and Google Scholar databases were searched to select and collect data from the existing literature on cryptolepine and their pharmacological properties. Several in vitro studies have demonstrated the potential of cryptolepine A as an anticancer and antimalarial molecule, which is achieved through inhibiting DNA synthesis and topoisomerase II. This review summarizes the recent developments of cryptolepine pharmacological properties and functional mechanisms, providing information for future research on this natural product.
Superficial femoral vein transposition as a solution for hemodialysis vascular access

The significant growth in the number of individuals dependent on hemodialysis for renal replacement therapy and unrestricted use of short and long-term catheters have challenged vascular surgeons in search of solutions for patients whose options for access via the upper limbs have been exhausted and for the increasing rates of central venous stenosis in these patients. When access via the upper limbs is impossible, exceptional techniques can be used and the lower limbs offer feasible alternative vascular access sites for hemodialysis. This article reports a case of superficial femoral vein transposition to make a loop arteriovenous fistula in a patient with no possibility of access via the upper limbs and presents a literature review on this technique that remains little used.
MASK: Practical Source and Path Verification Based on Multi-AS-Key

The source and path verification in Path-Aware Networking considers the two critical issues: (1) end hosts could verify that the network follows their forwarding decisions, and (2) both on-path routers and destination host could authenticate the source of packets and filter the malicious traffic. Unfortunately, the state-of-the-art mechanisms require heavy communication overhead in the network and computation overhead in the router; moreover, it is difficult to meet the dynamic requirements of the end host. We propose a user-driven mechanism, source and path verification based on Multi-AS-Key (MASK). MASK decreases the communication overhead by a short additional packet header and reduces the computation overhead by separating the control and data plane in terms of the cryptographic operation. Furthermore, it utilizes the stateful user to instruct the stateless routers to process the packet with a user-driven policy, thus satisfying the user's requirements such as detecting the packet drop and replay attack. With the plausible design, the communication overhead for realistic path lengths is 1/2 to 1/10 compared with the state-of-the-art mechanisms. We implement MASK in the BMv2 environment and commodity Barefoot Tofino programmable switch, testify that MASK introduces significantly less overhead than the state-of-the-art mechanisms, and demonstrate that MASK could achieve the verification in the programmable switch at line rate.
Emotional Framework of Marine Graphic Design Art in the Era of Interactive Design

With the current design art entering the era of interactive design, the expression of emotion and the expression of emotional resonance of ocean graphic art design based on interactive design reconstruct the design concept and design emotion, which is helpful to realize the continuous improvement of emotional framework of ocean graphic design art. This paper first analyzes the extension of the concept of interactive design and the consideration of marine graphic art design. Secondly, it studies the motivation of emotional expression of marine graphic design in the era of interactive design. Finally, it clarifies the emotional communication of marine graphic design in the era of interactive design.
Making visible the invisible. A microarchaeology approach and an Archaeology of Color perspective for rock art paintings from the southern cone of South America

From the literature research review of studies that involved the physicochemical characterization of rock art paintings in Argentina and Chile, we evaluate the impact of this analytic approach in our understanding of these visual and material practices in the southern region of South America. We identify the techniques, protocols and sample preparation, the information obtained, and archaeological questions addressed with these analyses. Consequently, we propose the need for a microarchaeological approach. We stress the materiality and particularities of the rock art practice, as an action performed over continuously altered walls, which forms complex microstratigraphies. Moreover, we highlight the benefits of obtaining comparable results with the use of paintings on different supports and contexts to hold an Archaeology of Color that allows studying not only the meaning, but also understand the exploitation, production, and consumption of color, being the painted rock art one form of the final stage of a complex sequence related to color materials.
Women's mental health and climate change Part II: Socioeconomic stresses of climate change and eco-anxiety for women and their children

Climate change is a significant public health crisis that is both rooted in pre-existing inequitable socioeconomic and racial systems and will further worsen these social injustices. In the face of acute and slow-moving natural disasters, women, and particularly women of color, will be more susceptible to gender-based violence, displacement, and other socioeconomic stressors, all of which have adverse mental health outcomes. Among the social consequences of climate change, eco-anxiety resulting from these negative impacts is also increasingly a significant factor in family planning and reproductive justice, as well as disruptions of the feminine connection to nature that numerous cultures historically and currently honor. This narrative review will discuss these sociologic factors and also touch on ways that practitioners can become involved in climate-related advocacy for the physical and mental well-being of their patients.
Occupational exposure to physicians working with a Zero-Gravity (TM) protection system in haemodynamic and electrophysiology labs and the assessment of its performance against a standard ceiling suspended shield

A two centre clinical study was performed to analyse exposure levels of cardiac physicians performing electrophysiology and haemodynamic procedures with the use of state of the art Zero-Gravity (TM) radiation protective system (ZG). The effectiveness of ZG was compared against the commonly used ceiling suspended lead shield (CSS) in a haemodynamic lab. The operator's exposure was assessed using thermoluminescent dosimeters (TLDs) during both ablation (radiofrequency ablation (RFA) and cryoablation (CRYA)) and angiography and angioplasty procedures (CA/PCI). The dosimeters were placed in multiple body regions: near the left eye, on the left side of the neck, waist and chest, on both hands and ankles during each measurement performed with the use of ZG. In total 29 measurements were performed during 105 procedures. To compare the effectiveness of ZG against CSS an extra 80 measurements were performed with the standard lead apron, thyroid collar and ceiling suspended lead shield during CA/PCI procedures. For ZG, the upper values for the average eye lens and whole body doses per procedure were 4 mu Sv and 16 mu Sv for the left eye lens in electrophysiology lab (with additionally used CSS) and haemodynamic lab (without CSS), respectively, and about 10 mu Sv for the remaining body parts (neck, chest and waist) in both labs. The skin doses to hands and ankles non-protected by the ZG were 5 mu Sv for the most exposed left finger and left ankle in electrophysiology lab, while in haemodynamic lab 150 mu Sv and 17 mu Sv, respectively. The ZG performance was 3 times (p < 0.05) and at least 15 times (p < 0.05) higher for the eye lenses and thoracic region, respectively, compared to CSS (with dosimeters on the apron/collar). However, when only ZG was used slightly higher normalised doses were observed for the left finger compared to CSS (5.88e - 2 Sv/Gym(2) vs. 4.31 e - 2 Sv/Gym(2), p = 0.016). The study results indicate that ZG performance is superior to CSS. It can be simultaneously used with the ceiling suspended lead shield to ensure the protection to the hands as long as this is not obstructive for the work.
Regeneration enhancers: a field in development

The ability to regenerate tissues and organs following damage is not equally distributed across metazoans, and even highly related species can vary considerably in their regenerative capacity. Studies of animals with high regenerative potential have shown that factors expressed during normal development are often reactivated upon damage and required for successful regeneration. As such, regenerative potential may not be dictated by the presence or absence of the necessary genes, but whether such genes are appropriately activated following injury. The identification of damage-responsive enhancers that regulate regenerative gene expression in multiple species and tissues provides possible mechanistic insight into this phenomenon. Enhancers that are reused from developmental programs, and those that are potentially unique to regeneration, have been characterized individually and at a genome-wide scale. A better understanding of the regulatory events that, direct and in some cases limit, regenerative capacity is an important step in developing new methods to manipulate and augment regeneration, particularly in tissues that do not have this ability, including those of humans.
An efficient and robust negotiating strategy in bilateral negotiations over multiple items

Multi-item negotiations surround our daily life and usually involve two parties that share common or conflicting interests. Effective automated negotiation techniques should enable the agents to adaptively adjust their behaviors depending on the characteristics of their negotiating partners and negotiation scenarios. This is complicated by the fact that the negotiation agents are usually unwilling to reveal their information (strategies and preferences) to avoid being exploited during negotiation. In this paper, we propose an adaptive negotiation strategy, called ABiNeS, which can make effective negotiations against different types of negotiating partners. The ABiNeS strategy employs the non-exploitation point to adaptively adjust the appropriate time to stop exploiting the negotiating partner and also predicts the optimal offer for the negotiating partner based on the reinforcement-learning based approach. Simulation results show that the ABiNeS strategy can perform more efficient exploitations against different types of negotiating partners, and thus achieve higher overall payoffs compared with the state-of-the-art strategies under negotiation tournaments. We also provide a detailed analysis of why the ABiNeS strategy can negotiate more efficiently compared with other existing state-of-the-art negotiation strategies focusing on two major components. Lastly, we propose adopting the single-agent best deviation principle to analyze the robustness of different negotiation strategies based on model checking techniques. Through our analysis, the ABiNeS strategy is shown to be very robust against other state-of-the-art strategies under different negotiation contexts. (C) 2014 Elsevier Ltd. All rights reserved.
GASTRONOMY AS A SOCIAL CATALYST IN THE CREATIVE PLACE-MAKING PROCESS

This paper examines the integration of gastronomy in the creative place-making process. The study is based on the interviews with the organizers of five gastronomy events: a cooking workshop, a gastronomy festival, a series of gastronomy events at museums, a gastronomy theatre performance and an intimate dinner event. The contextual analysis shows that gastronomy events can contribute to five important features defining quality of place: diversity, liveliness, innovativeness, creativity and openness/tolerance. The final phase of our study brings comparison with findings in art-based place-making studies and discusses on diversity, integration in development policies and replicability potential of analyzed gastronomy events.
A mini-review on bio-inspired polymer self-assembly: single-component and interactive polymer systems

Biology demonstrates meticulous ways to control biomaterials self-assemble into ordered and disordered structures to carry out necessary bioprocesses. Empowering the synthetic polymers to self-assemble like biomaterials is a hallmark of polymer physics studies. Unlike protein engineering, polymer science demystifies self-assembly by purposely embedding particular functional groups into the backbone of the polymer while isolating others. The polymer field has now entered an era of advancing materials design by mimicking nature to a very large extend. For example, we can make sequence-specific polymers to study highly ordered mesostructures similar to studying proteins, and use charged polymers to study liquid-liquid phase separation as in membraneless organelles. This mini-review summarizes recent advances in studying self-assembly using bio-inspired strategies on single-component and multi-component systems. Sequence-defined techniques are used to make on-demand hybrid materials to isolate the effects of chirality and chemistry in synthetic block copolymer self-assembly. In the meantime, sequence patterning leads to more hierarchical assemblies comprised of only hydrophobic and hydrophilic comonomers. The second half of the review discusses complex coacervates formed as a result of the associative charge interactions of oppositely charged polyelectrolytes. The tunable phase behavior and viscoelasticity are unique in studying liquid macrophase separation because the slow polymer relaxation comes primarily from charge interactions. Studies of bio-inspired polymer self-assembly significantly impact how we optimize user-defined materials on a molecular level.
Influence of citrate/tartrate on chromite crystallization behavior and its potential environmental implications

The ferrite process has been developed to purify wastewater containing heavy metal ions and recycle valuable metals by forming chromium ferrite. However, organic matter has an important influence on the crystallization behavior and stability of chromite synthesized from chromium-containing wastewater. We focused on the influence and effect mechanism of two typical organic acid salts (citrate (CA) and tartrate (TA)) on the process of chromium mineralization. It was found that the presence of organic matter leads to the increase of the residual content of Cr in CA system (0.50 mmol/L) and TA system (0.61 mmol/L) in the solution, and the removal of chromium was mainly due to the surface adsorption of Fe(III) hydrolysate. The decreased crystallinity of mineralized products is ascribed to the completion of organic compounds with Fe(II) and Fe(III), which hinders the formation of ferrite precursors. There was bidentate and monodentate chelation between -COO- and metal ions in the CA system and TA system respectively, which resulted in a stronger affinity between CA and iron. This study provides the underlying mechanism for Cr(III) solid oxidation by the ferrite method in an organic matter environment and is of great significance to prevent and control chromium pollution in the environment.
Segment 2D and 3D Filaments by Learning Structured and Contextual Features

We focus on the challenging problem of filamentary structure segmentation in both 2D and 3D images, including retinal vessels and neurons, among others. Despite the increasing amount of efforts in learning based methods to tackle this problem, there still lack proper data-driven feature construction mechanisms to sufficiently encode contextual labelling information, which might hinder the segmentation performance. This observation prompts us to propose a data-driven approach to learn structured and contextual features in this paper. The structured features aim to integrate local spatial label patterns into the feature space, thus endowing the follow-up tree classifiers capability to grouping training examples with similar structure into the same leaf node when splitting the feature space, and further yielding contextual features to capture more of the global contextual information. Empirical evaluations demonstrate that our approach outperforms state-of-the arts on well-regarded testbeds over a variety of applications. Our code is also made publicly available in support of the open-source research activities.
LSTM multichannel neural networks in mental task classification

Purpose The purpose of this paper is to apply recurrent neural networks (RNNs) and more specifically long-short term memory (LSTM)-based ones for mental task classification in terms of BCI systems. The authors have introduced novel LSTM-based multichannel architecture model which proved to be highly promising in other fields, yet was not used for mental tasks classification. Design/methodology/approach Validity of the multichannel LSTM-based solution was confronted with the results achieved by a non-multichannel state-of-the-art solutions on a well-recognized data set. Findings The results demonstrated evident advantage of the introduced method. The best of the provided variants outperformed most of the RNNs approaches and was comparable with the best state-of-the-art methods. Practical implications - The approach presented in the manuscript enables more detailed investigation of the electroencephalography analysis methods, invaluable for BCI mental tasks classification. Originality/value The new approach to mental task classification, exploiting LSTM-based RNNs with multichannel architecture, operating on spatial features retrieving filters, has been adapted to mental tasks with noticeable results. To the best of the authors' knowledge, such an approach was not present in the literature before.
Improving Lateral Resolution in 3-D Imaging With Micro-beamforming Through Adaptive Beamforming by Deep Learning

There is an increased desire for miniature ultrasound probes with small apertures to provide volumetric images at high frame rates for in-body applications. Satisfying these increased requirements makes simultaneous achievement of a good lateral resolution a challenge. As micro-beamforming is often employed to reduce data rate and cable count to acceptable levels, receive processing methods that try to improve spatial resolution will have to compensate the introduced reduction in focusing. Existing beamformers do not realize sufficient improvement and/or have a computational cost that prohibits their use. Here we propose the use of adaptive beamforming by deep learning (ABLE) in combination with training targets generated by a large aperture array, which inherently has better lateral resolution. In addition, we modify ABLE to extend its receptive field across multiple voxels. We illustrate that this method improves lateral resolution both quantitatively and qualitatively, such that image quality is improved compared with that achieved by existing delay-and-sum, coherence factor, filtered-delay-multiplication-and-sum and Eigen-based minimum variance beamformers. We found that only in silica data are required to train the network, making the method easily implementable in practice.
Deep Mining External Imperfect Data for Chest X-Ray Disease Screening

Deep learning approaches have demonstrated remarkable progress in automatic Chest X-ray analysis. The data-driven feature of deep models requires training data to cover a large distribution. Therefore, it is substantial to integrate knowledge from multiple datasets, especially for medical images. However, learning a disease classification model with extra Chest X-ray (CXR) data is yet challenging. Recent researches have demonstrated that performance bottleneck exists in joint training on different CXR datasets, and few made efforts to address the obstacle. In this paper, we argue that incorporating an external CXR dataset leads to imperfect training data, which raises the challenges. Specifically, the imperfect data is in two folds: domain discrepancy, as the image appearances vary across datasets; and label discrepancy, as different datasets are partially labeled. To this end, we formulate the multi-label thoracic disease classification problem as weighted independent binary tasks according to the categories. For common categories shared across domains, we adopt task-specific adversarial training to alleviate the feature differences. For categories existing in a single dataset, we present uncertainty-aware temporal ensembling of model predictions to mine the information from the missing labels further. In this way, our framework simultaneously models and tackles the domain and label discrepancies, enabling superior knowledge mining ability. We conduct extensive experiments on three datasets with more than 360,000 Chest X-ray images. Our method outperforms other competing models and sets state-of-the-art performance on the official NIH test set with 0.8349 AUC, demonstrating its effectiveness of utilizing the external dataset to improve the internal classification.
Nucleoporin 35 regulates cardiomyocyte pH homeostasis by controlling Na+-H+ exchanger-1 expression

The mammalian nuclear pore complex is comprised of ∼ 30 different nucleoporins (Nups). It governs the nuclear import of gene expression modulators and the export of mRNAs. In cardiomyocytes, Na(+)-H(+) exchanger-1 (NHE1) is an integral membrane protein that exclusively regulates intracellular pH (pHi) by exchanging one intracellular H(+) for one extracellular Na(+). However, the role of Nups in cardiac NHE1 expression remains unknown. We herein report that Nup35 regulates cardiomyocyte NHE1 expression by controlling the nucleo-cytoplasmic trafficking of nhe1 mRNA. The N-terminal domain of Nup35 determines nhe1 mRNA nuclear export by targeting the 5'-UTR (-412 to -213 nt) of nhe1 mRNA. Nup35 ablation weakens the resistance of cardiomyocytes to an acid challenge by depressing NHE1 expression. Moreover, we identify that Nup35 and NHE1 are simultaneously downregulated in ischemic cardiomyocytes both in vivo and in vitro. Enforced expression of Nup35 effectively counteracts the anoxia-induced intracellular acidification. We conclude that Nup35 selectively regulates cardiomyocyte pHi homeostasis by posttranscriptionally controlling NHE1 expression. This finding reveals a novel regulatory mechanism of cardiomyocyte pHi, and may provide insight into the therapeutic strategy for ischemic cardiac diseases.
THM-GCMS and FTIR for the study of binding media in Yellow Islands by Jackson Pollock and Break Point by Fiona Banner

Throughout the 20th century a number of binding media, including synthetic resins, have been employed in paints. It is only very recently that thermally assisted hydrolysis and methylation-gas chromatography-mass spectrometry (THM-GCMS) has been used for the identification of a wide variety of binding media employed in the 20th century art. This paper shows as THM-GCMS was successfully used in conjunction with Fourier Transform Infrared Spectroscopy for the study of binding media in samples from Yellon, Islands by Jackson Pollock [Tate Collection, T00436] and Break Point by Fiona Banner [Tate Collection, T07501]. (C) 2003 Elsevier B.V. All rights reserved.