ahmedabdelwahed/Medical_papers_title_and_abstract_NLP_dataset huggingface dataset:
In-air handwritten Chinese text recognition with temporal convolutional recurrent network

As a new human-computer interaction way, in-air handwriting allows users to perform gesture-based writing in the midair. However, most existing in-air handwriting systems mainly focus on recognizing either isolated characters/words or only a small number of texts, making those systems far from practical applications. Instead, here we present a 3D in-air handwritten Chinese text recognition (IAHCTR) system for the first time, and construct the first public large-scale IAHCT dataset. Moreover, a novel architecture, named the temporal convolutional recurrent network (TCRN), is proposed for online HCTR. Specifically, the TCRN first applies the 1-dimensional convolution to extract local contextual features from low-level trajectories, and then it utilizes the recurrent network to capture long-term dependencies of high-level outputs. Compared with the state-of-the-art architecture, the TCRN not only avoids the domain-specific knowledge for feature image extraction, but also attains higher training efficiency with a more compact model. Empirically, this TCRN also outperforms the single recurrent network with faster prediction and higher accuracy. Experiments on CASIA-OLHWDB2 & ICDAR-2013 demonstrate that the TCRN yields the best result in comparison to the state-of-the-art methods for online HCTR. (C) 2019 Elsevier Ltd. All rights reserved.
The effect of gestational weight gain on serum total oxidative stress, total antioxidant capacity and gut microbiota

This study aimed to investigate the effect of gestational weight gain on total oxidative stress (TOS), total antioxidant capacity (TAC), oxidative stress index (OSI), dietary antioxidant intake, and the gut microbiome. The study was carried out on 40 pregnant women divided as follows: a) normal prepregnancy weight and gestational weight gain of 11.5-16.0 kg (n=10) b) normal prepregnancy weight and gestational weight gain of >16.0 kg (n=10) c) obese before pregnancy and gestational weight gain of 5-9 kg (n=10) and d) obese before pregnancy and gestational weight gain of >9.0 kg (n=10). Serum TOS and TAC levels, dietary antioxidant intake, and microbiome diversity of the gut microbiome were evaluated during the third trimester of pregnancy. A positive correlation was found between body mass index (BMI) in the third trimester and serum TOS levels and OSI. In women with normal prepregnancy weight, an increase in the Firmicutes and Bacteroidetes phyla was observed when gestational weight gain was above the recommended values (p<0.05). In women who were obese before pregnancy, an increase only in the Bacteroidetes phylum was observed when gestational weight gain was above the recommended values (p<0.05). A positive correlation was found between Firmicutes/Bacteroidetes and OSI, and a negative correlation was found between Firmicutes/Bacteroidetes and dietary antioxidant intake (p<0.05). Prepregnancy body weight, high serum TOS level, and dietary antioxidant intake are determinant factors for microbial diversity, with increased serum TOS levels caused by increased gestational weight gain.
ERBB2 exon 20 insertions are rare in Brazilian non-small cell lung cancer

ERBB2 exon 20 insertions may impact the clinical management of lung cancer patients. However, the frequency of ERBB2 exon 20 insertions in lung cancer patients in Brazil is scarce. Here, we analyzed 722 Brazilian non-small cell lung cancer (NSCLC) patients from Barretos Cancer Hospital that were indicated to require routine lung cancer molecular testing. ERBB2 exon 20 insertions were evaluated by a targeted panel using next-generation sequencing (NGS). Clinicopathological and molecular data were collected from patient medical records. Among the 722 NSCLC patients, 85.2% had lung adenocarcinomas, 53.9% were male, 66.8% were quitter or current smokers, and 63.2% were diagnosed at an advanced stage of the disease. We identified 0.8% (6/722) of patients who harbored the insertion p.(Tyr772_Ala775dup) at exon 20 of the ERBB2 gene. All ERBB2 mutated patients were diagnosed with lung adenocarcinoma, were never smokers, and wild-type for EGFR, KRAS, and ALK hotspot alterations. Less than 1% of Brazilian NSCLC patients harbor ERBB2 exon 20 insertions, yet they could benefit in future from the new drugs in development.
Service Composition and Optimal Selection in Cloud Manufacturing: State-of-the-Art and Research Challenges

Increasing interest in the field of Cloud Manufacturing (CMfg) has been witnessed over the last few years. This study aims to identify current and state-of-the-art techniques and to synthesize quality attributes, objectives, and evaluation methodologies for service composition and optimal selection (SCOS) in the field of CMfg. We used a systematic literature review (SLR) methodology for a thorough analysis of 46 shortlisted primary studies, from a total of 5872 accumulated studies from ten electronic databases. NVivo analysis software was used for data coding and qualitative analysis. A review scope was primarily devised based on research goals, and to uncover potential search strings; a pilot study was formulated. Secondarily, research identification, key data extraction, and deductive coding-based data analysis were performed. Multi-variant distribution approaches were adopted for data categorization. We found that the research in this domain has increased due to the rapid manufacturing urge. Although a few studies were based on industrial evaluations; however, scientific and empirically validated methodologies are still needed in this domain. This study lays an overview of SCOS in the field of CMfg and enlightens the identified future research areas.
Investigation of micromixing in the ART plate reactor PR37 using the acetal cleavage method and different mixing models

The mixing time can strongly affect the yield of a desired product if side reactions occur. Mixing is therefore of great practical importance. Millireactors enable comparatively high flow rates at moderate pressure drops and are thus well suited for production purposes. In this work, the mixing performance of the millistructured reactor ART PR37 is investigated using the Bourne method. Four plate types with similar meandering, converging/ diverging process channels, but different hydraulic diameters have been studied over a wide range of Reynolds numbers. Mixing times have been calculated using two different mixing models, the IEM model and a recently introduced modified incorporation model. Mixing times were found to be less than 0.1 second for Reynolds numbers exceeding 150. For higher Reynolds numbers, mixing times in the range of 0.02 to 0.03 s are achievable without prohibitively high pressure drops. The ART PR37 is therefore a promising option for mixing-sensitive reactions.
Insight Into Factors Governing Formation, Synthesis and Stereochemical Configuration of DNA Adducts Formed by Mitomycins

Mitomycin C, (MC), an antitumor drug used in the clinics, is a DNA alkylating agent. Inert in its native form, MC is reduced to reactive mitosenes in cellulo which undergo nucleophilic attack by DNA bases to form monoadducts as well as interstrand crosslinks (ICLs). These properties constitute the molecular basis for the cytotoxic effects of the drug. The mechanism of DNA alkylation by mitomycins has been studied for the past 30 years and, until recently, the consensus was that drugs of the mitomycins family mainly target CpG sequences in DNA. However, that paradigm was recently challenged. Here, we relate the latest research on both MC and dicarbamoylmitomycin C (DMC), a synthetic derivative of MC which has been used to investigate the regioselectivity of mitomycins DNA alkylation as well as the relationship between mitomycins reductive activation pathways and DNA adducts stereochemical configuration. We also review the different synthetic routes to access mitomycins nucleoside adducts and oligonucleotides containing MC/DMC DNA adducts located at a single position. Finally, we briefly describe the DNA structural modifications induced by MC and DMC adducts and how site specifically modified oligonucleotides have been used to elucidate the role each adduct plays in the drugs cytotoxicity.
A 4.49nW/Pixel Light-to-Stimulus Duration Converter-Based Retinal Prosthesis Chip

This paper presents a 288-pixel retinal prosthesis (RP) chip implemented in a 0.18 mu m CMOS process. The proposed light-to-stimulus duration converter (LSDC) and biphasic stimulator generate a wide range of retinal stimuli proportional to the incident light intensity at a low supply voltage of 1V. The implemented chip shows 25.5 dB dynamic stimulation range and the state-of-the art low power consumption of 4.49 nW/pixel. Ex-vivo experiments were performed with a mouse retina and patch-clamp recording. The electrical artifact recorded by the patch electrode demonstrates that the proposed chip can generate electrical stimuli that have different pulse durations depending on the light intensity. Correspondingly, the spike counts in a retinal ganglion cell (RGC) were successfully modulated by the brightness of the light stimuli.
Environmental influence in the forested area toward human health: incorporating the ecological environment into art psychotherapy

This study on the development of a psychotherapy program based on the relationship between forests and human health focused on actively considering the natural ecological environment. This study categorized and compared an art psychotherapy program that simply moved to an outdoor space and a forest-art therapy program that actively utilized the forest environment as a medium. The characteristics of the natural environment, such as openness, change, and diversity, shortened the amount of time participants took to develop a rapport and open up and played a vital role in recovering mental health. After a bold attempt at integrating forest environment and art psychotherapy by going beyond outdoor art therapy, there were significant results pertaining to improvements in mental disorders in today's society, including stress vulnerabilities, depression, anxiety, and aggression. The research results verified that the developed forest-art therapy method had greater efficacy in relation to both the Stress Vulnerability - Interpersonal Sensitivity Scale and the Stress Vulnerability - Self-Regulation Scale.
Promoting the Sustainability of City Communities through 'Voluntary Arts Activities' at Regenerated Cultural Arts Spaces: A Focus on the Combination of the 'Democratization of Culture' and 'Cultural Democracy' Perspectives

Abandoned industrial facilities have become a nuisance in cities because the needs of society members are continuously changing. Idle industrial facilities might be considered to be merely abandoned and empty spaces, but they are in reality historic sites that illustrate the period of industrialization in the region. They are valuable because they serve to accumulate memories from the past. Recently, with the need for urban regeneration, there have been various discussions on converting the abandoned industrial facilities into cultural art spaces. They are intended to promote the sustainability of communities and cities by vitalizing the area. Considering the social dimensions of urban regeneration, it is necessary to render such a creative space as a 'Third Place' to promote the city's sustainability. Converted industrial facilities, through the medium of 'Voluntary Arts Activities,' have many elements that are suitable for the needs of a creative space, and even for a 'Third Place'. As opposed to the private sector, it is seen that when the public sector regenerates these facilities, they approach this issue in order to lower the cultural arts barrier. The public sector, which is a government-centered first sector, conducts regeneration projects based on the 'Democratization of Culture' perspective. However, in order to promote participation in the third sector, which is a community-based, non-profit sector that actually uses the space, it is important to approach the issue from the 'Cultural Democracy' perspective. Focusing on this aspect, this study aims to examine cases of public sector-led converted cultural arts spaces by 'Voluntary Arts Activities' in France and South Korea, namely 'Le Centquatre-Paris,' the 'Oil Tank Culture Park,' and the 'West Seoul Arts Center for Learning'. This will allow us to contemplate the possibility of sustainable spaces, individuals, communities and cities.
Erica the Rhino: A Case Study in Using Raspberry Pi Single Board Computers for Interactive Art

Erica the Rhino is an interactive art exhibit created by the University of Southampton, UK. Erica was created as part of a city wide art trail in 2013 called "Go! Rhinos", curated by Marwell Wildlife, to raise awareness of Rhino conservation. Erica arrived as a white fibreglass shell which was then painted and equipped with five Raspberry Pi Single Board Computers (SBC). These computers allowed the audience to interact with Erica through a range of sensors and actuators. In particular, the audience could feed and stroke her to prompt reactions, as well as send her Tweets to change her behaviour. Pi SBCs were chosen because of their ready availability and their educational pedigree. During the deployment, 'coding clubs' were run in the shopping centre where Erica was located, and these allowed children to experiment with and program the same components used in Erica. The experience gained through numerous deployments around the country has enabled Erica to be upgraded to increase reliability and ease of maintenance, whilst the release of the Pi 2 has allowed her responsiveness to be improved.
Is Selective Head Cooling Combined with Whole-Body Cooling the Most Effective Hypothermia Method for Neonatal Hypoxic-Ischemic Encephalopathy?

This study aimed to compare combined hypothermia (CH) to the 2 classical therapeutic hypothermia (TH) methods selective head cooling (SHC) and whole-body cooling (WBC). This retrospective cohort study included neonates who underwent CH, SHC, and WBC between 2012 and 2020. Mean rectal temperature was maintained at 33.5 ± 0.5°C by cooling the head and the body in the CH group, at 34.5 ± 0.5°C by cooling the head in the SHC group, and at 33.5 ± 0.5°C by cooling the body in the WBC group. The groups were compared in terms of side effects, magnetic resonance imaging (MRI) scores, and status at discharge. The study included 60 neonates in the CH group, 112 in the WBC group, and 27 in the SHC group. There was no significant difference in side effects between the groups (p > 0.05). There was no significant difference in brain MRI scores between the groups (p > 0.05); however, gray matter, white matter, and total MRI scores in the CH group were lower than in the WBC group. Duration of hospitalization was shorter in the CH group than in the other two groups (p = 0.022). CH was not associated with more side effects than the two classical TH methods. In addition, some of these findings suggest that CH might result in better clinical outcome than the two classical TH methods.
Deep Learning for Natural Language Parsing

Natural language processing problems (such as speech recognition, text-based data mining, and text or speech generation) are becoming increasingly important. Before effectively approaching many of these problems, it is necessary to process the syntactic structures of the sentences. Syntactic parsing is the task of constructing a syntactic parse tree over a sentence which describes the structure of the sentence. Parse trees are used as part of many language processing applications. In this paper, we present a multi-lingual dependency parser. Using advanced deep learning techniques, our parser architecture tackles common issues with parsing such as long-distance head attachment, while using 'architecture engineering' to adapt to each target language in order to reduce the feature engineering often required for parsing tasks. We implement a parser based on this architecture to utilize transfer learning techniques to address important issues related with limited-resourced language. We exceed the accuracy of state-of-the-art parsers on languages with limited training resources by a considerable margin. We present promising results for solving core problems in natural language parsing, while also performing at state-of-the-art accuracy on general parsing tasks.
Bag of indexes: a multi-index scheme for efficient approximate nearest neighbor search

During the last years, the problem of Content-Based Image Retrieval (CBIR) was addressed in many different ways, achieving excellent results in small-scale datasets. With growth of the data to evaluate, new issues need to be considered and new techniques are necessary in order to create an efficient yet accurate system. In particular, computational time and memory occupancy need to be kept as low as possible, whilst the retrieval accuracy has to be preserved as much as possible. For this reason, a brute-force approach is no longer feasible, and an Approximate Nearest Neighbor (ANN) search method is preferable. This paper describes the state-of-the-art ANN methods, with a particular focus on indexing systems, and proposes a new ANN technique called Bag of Indexes (BoI). This new technique is compared with the state of the art on several public benchmarks, obtaining 86.09% of accuracy on Holidays+Flickr1M, 99.20% on SIFT1M and 92.4% on GIST1M. Noteworthy, these state-of-the-art accuracy results are obtained by the proposed approach with a very low retrieval time, making it excellent in the trade off between accuracy and efficiency.
Molecular simulations of electrolyte structure and dynamics in lithium-sulfur battery solvents

The performance of modern lithium-sulfur (Li/S) battery systems critically depends on the electrolyte and solvent compositions. For fundamental molecular insights and rational guidance of experimental developments, efficient and sufficiently accurate molecular simulations are thus in urgent need. Here, we construct a molecular dynamics (MD) computer simulation model of representative state-of-the art electrolyte-solvent systems for Li/S batteries constituted by lithium-bis(trifluoromethane)sulfonimide (LiTFSI) and LiNO3 electrolytes in mixtures of the organic solvents 1,2-dimethoxyethane (DME) and 1,3-dioxolane (DOL). We benchmark and verify our simulations by comparing structural and dynamic features with various available experimental reference systems and demonstrate their applicability for a wide range of electrolyte-solvent compositions. For the state-of-the-art battery solvent, we finally calculate and discuss the detailed composition of the first lithium solvation shell, the temperature dependence of lithium diffusion, as well as the electrolyte conductivities and lithium transference numbers. Our model will serve as a basis for efficient future predictions of electrolyte structure and transport in complex electrode confinements for the optimization of modern Li/S batteries (and related devices).
Is now the time for a Rubiscuit or Ruburger? Increased interest in Rubisco as a food protein

Much of the research on Rubisco aims at increasing crop yields, with the ultimate aim of increasing plant production to feed an increasing global population. However, since the identification of Rubisco as the most abundant protein in leaf material, it has also been touted as a direct source of dietary protein. The nutritional and functional properties of Rubisco are on a par with those of many animal proteins, and are superior to those of many other plant proteins. Purified Rubisco isolates are easily digestible, nutritionally complete, and have excellent foaming, gelling, and emulsifying properties. Despite this potential, challenges in efficiently extracting and separating Rubisco have limited its use as a global foodstuff. Leaves are lower in protein than seeds, requiring large amounts of biomass to be processed. This material normally needs to be processed quickly to avoid degradation of the final product. Extraction of Rubisco from the plant material requires breaking down the cell walls and rupturing the chloroplast. In order to obtain high-quality protein, Rubisco needs to be separated from chlorophyll, and then concentrated for final use. However, with increased consumer demand for plant protein, there is increased interest in the potential of leaf protein, and many commercial plants are now being established aimed at producing Rubisco as a food protein, with over US$60 million of funding invested in the past 5 years. Is now the time for increased use of Rubisco in food production as a nitrogen source, rather than just providing a carbon source?
Beam Training and Alignment for RIS-Assisted Millimeter-Wave Systems: State of the Art and Beyond

Reconfigurable intelligent surface (RIS) has recently emerged as a promising paradigm for future cellular networks. Specifically, due to its capability in reshaping the propagation environment, RIS was introduced to address the blockage issue in millimeter-wave (mmWave) or even terahertz communications. The deployment of RIS, however, complicates the system architecture and poses a significant challenge for beam training (BT)/beam alignment (BA), a process that is required to establish a reliable link between the transmitter and the receiver. In this article, we first review several state-of-the-art beam training solutions for RIS-assisted mmWave systems and discuss their respective advantages and limitations. We also present a new multidirectional BT method, which can achieve decent BA performance with only a small amount of training overhead. Finally, we outline several important open issues in BT for RIS-assisted mmWave systems.
Evaluation of Expressive Arts Therapy on the Resilience of University Students in COVID-19: A Network Analysis Approach

As an alternative to traditional verbal counselling, expressive arts therapy has been shown to be an effective method of mental health care, particularly when dealing with stressful public interactions, such as those associated with COVID-19. However, few studies have been conducted to determine the efficacy of expressive arts therapy on the resilience of psychologically exposed university students during COVID-19. Furthermore, since network analysis appears to be a popular approach in psychological research, it has not been used in recent intervention studies for resilience. As a result, the current study utilized a network analysis approach to determine the efficacy of expressive arts therapy on the resilience of university students during the COVID-19 pandemic. A total of 263 students in a comprehensive university in China were selected for the therapy group between March and November 2021. In a pre-post design, students' resilience was assessed using the Resiliency Scale for University Students (RSUS). The extended Bayesian information criteria (EBIC) and graphical LASSO were used to estimate and define paired resilience networks, and the strength, betweenness, and closeness indices were utilized to determine the centrality of the six facets of resilience. Additionally, we verified the stability and accuracy. It was discovered that significant differences appeared between the paired networks before and after expressive arts therapy. Facets of self-efficacy, self-acceptance and problem-solving in resilience were notably improved after the therapy, with the variable of emotional stability sustained at the mean level. Meanwhile, the network analysis has highlighted the central variable of self-efficacy in the pre-intervention and support from friends in the post-intervention. The connectivity among the components of problem solving, support from friends, and support from family was enhanced, with support from friends playing the role of hub nod in the following network. By utilizing a network analytic approach, expressive arts therapy can be more targeted in intervening in resilience mechanisms. As a proxy for efficacious problem-solving, intervention should be calibrated to the cultivation of social support networks, especially in the support from friends.