bluuebunny/crossref_metadata_2025_split huggingface dataset:
From macro to micro: multi-scale study of plasmonic nanocoating self-assembled on multijunction bulk solar cells
Authors: Su Dan , Zhang Xiao-Yang , Lv Lei , Zhou Huan-Li , Wang Shan-Jiang , Yang Yi , Wu Jing-Yuan , Zhao Ning , Zhang Tong 
Published: November 2020

Abstract
Nanophotonics pours into new opportunities to achieve ultrahigh-efficiency solar cells, attracting tremendous interests from photovoltaic research and industry. Plasmonic nanostructures, enabling strong light-matter interaction at the nanoscale, have been widely used for efficiency enhancement in thin-film solar cell devices based on plasmonic near-field effects. Unlike thin-film device cases, we found forward scattering and inter-particle coupling engineering of subwavelength plasmonic nanostructures are the key to enhance the efficiency of bulk multijunction solar cells (MJSCs). As a proof of concept, we studied the plasmonic enhancement of Ag@SiO2 nanocoating self-assembled on InGaP/GaInAs/Ge MJSCs at both macro and micro scales. From the macro measurements, the experimental enhancement of Ag@SiO2 core-shell nanostructure could be well-matched with the simulational results, where strong forward scattering and suppressed interparticle coupling could be simultaneously achieved by employing ~ 22 nm SiO2 shell layer. Using a double excitation method under an infinity optical microscope, we directly observed multi-wavelength uniform photocurrent enhancements on MJSCs at a submicrometer scale. This study will provide an effective strategy and opening up new opportunities to explore high-efficient MJSCs using nanophotonics.
Anxiety increases the willingness to be exposed to COVID-19 risk among young adults in France
Authors: Etilé Fabrice , Geoffard Pierre-Yves 
Published: November 2020

Abstract
The COVID-19 outbreak has generated significant uncertainty about the future, especially for young adults. Health and economic threats, as well as more diffuse concerns about the consequences of COVID-19, can trigger feelings of anxiety, leading individuals to adopt uncertainty-reducing behaviours. We tested whether anxiety was associated with an increase in willingness to be exposed to the risk of COVID-19 infection (WiRE) using an online survey administered to 3,110 French individuals aged between 18 and 35 years old during the lockdown period (April 2020). Overall, 56.5% of the sample declared a positive WiRE. Unemployment was associated with a higher WiRE (+8.2 percentage points (pp); 95% CI +0.9-15.4 pp). One standard deviation increases in income (+1160€) and psychological state anxiety raised the WiRE by +2.7 pp (95% CI: +1.1-4.4 pp) and +3.9 pp (95% CI: +1.6-6.2 pp), respectively. A one standard deviation increase in perceived hospitalisation risk was associated with a -4.1 pp (95% CI: -6.2-2.1 pp) decrease in the WiRE. Overall, our results suggest that both the prospect of economic losses and psychological anxiety can undermine young adults’ adherence to physical distancing recommendations. Public policies targeting young adults must consider both their economic situation and their mental health, and they must use uncertainty-reducing communication strategies.
Node-Block based Topology Control Algorithm for Mobile Optical Wireless Communication Networks
Authors: Gao Yan , Shang Tao , Liu Yuanhao , Qian Peiheng 
Published: November 2020

Abstract

Topology control is an efficient strategy to improve robustness and connectivity in networks. The mobility of nodes, the limited node degree and fragile links in optical wireless communication (OWC) networks make topology control a great challenge. In this paper, the node-block (NB) based topology control algorithm is proposed. Firstly, the proposed algorithm uses the prediction of the contact time between the nodes as the link weight to form a stable tree structure that is called node-block; secondly, the quantized value based on Gamma-Gamma channel model is used as the link weight between node-blocks, and then a multi-link connection is established between any two node-blocks; finally, a connected graph is formed. The performance evaluation parameters, such as topological stability, algebraic connectivity and average node degree are discussed, and their expressions are given. The related simulations are carried out, and comparing with MST algorithm are also made. The results show that our proposed topology control algorithm can ensure the connectivity and stability of the OWC networks, meanwhile, the available node degree are reserved is applied to the large-scale networks.
Research on an Improved Neural Network Model for Film Text Image Segmentation in Film Internet of Things
Authors: Tong Yangfan , Feng Shuo , Zhang Ruiqing 
Published: November 2020

Abstract
In order to solve the problem that Film text is difficult to recognize and difficult to handle in Film Internet of Things, a method that can effectively identify the content in Film text is sought. This paper uses the Mask RCNN algorithm with ResNet101 as the backbone network to establish a Film document image segmentation model.The optimal hyperparameters are: the shape ratio of the anchor frame is [0.5, 1, 3], the threshold for non-maximum suppression is 0.15, and the confidence level is 0.85. The F1 score obtained at this time is 0.8951. When these hyperparameters are substituted into the IOU of 0.8, the F1 score is 0.7417. According to the results of the Pattern Recognition Laboratory of the Chinese Academy of Sciences, this algorithm model ranked first with an IOU of 0.6. Under the premise that IOU is 0.8, it is ranked second, and the first is a non-end-to-end model with a single task. It can be seen that the adjustment of the hyperparameters and the training of the algorithm model are relatively successful.The experimental results show that the MASK RCNN can accurately identify all the formulas in the Film Text. MASK RCNN is significantly better at identifying small objects such as formulas in Film Text images than traditional fast cnn and faster cnn.
The Magnitude and Effect of Work-Life Imbalance on Cognition and Affective Range among the Non-Western Population: A Study from Muscat.
Authors: Adawi Samir Al , Alameddine Mohamad , Al-Saadoon Muna , Balushi Amal A. Al , Chan Moon Fai , Bou-Karroum Karen , Al-Kindy Hamad , Al-Harthi Saud M. 
Published: November 2020

Abstract
Work-life balance/imbalance has been increasingly recognized as being critically involved in poor adjustment in occupational settings. Little has been forthcoming on cognitive functioning among those with work-life imbalance. This study was to explore the rate of work-life imbalance, variation in neuropsychological functioning. The relationship between mood and work-life balance was also explored. The target population in this study are Omani nationals who were referred for psychometric evaluation. The study employs neuropsychology measures tapping into attention and concentration, learning and remembering, processing speed, and executive functioning. Subjective measures of cognitive decline and affective ranges were also explored. A total of 168 subjects (75.3% of the responders) were considered to be at a work-life imbalance. Multivariate analysis showed that demographic and neuropsychological variables were significant risk factors for work-life imbalance including age and the presence of anxiety disorder. Furthermore, participants indicating work-life imbalance were more likely to report cognitive decline on indices of attention and concentration and learning and remembering. This study reveals that individuals with work-life imbalance might dent the integrity of cognition including attention and concentration, learning and remembering, executive functioning, and endorsed caseness for anxiety.
A complete analysis of the epidemiological scenario around a SARS-CoV-2 reinfection: previous infection events and subsequent transmission
Authors: Lago Laura Pérez , Latorre Leire Pérez , Herranz Marta , Tejerina Francisco , Campoy Pedro J Sola , Sicilia Jon , González Julia Suárez , Zayas Cristina Andrés , Oms Alvaro Chiner , Serrano Santiago Jiménez , González Neris García , Comas Iñaki , Candelas Fernando González , Laperche Carolina Martínez , Catalán Pilar , Muñoz Patricia , Viedma Darío García de 
Published: November 2020

Abstract
Rationale: The first descriptions of reinfection by SARS-CoV-2 have been recently reported. However, these studies focus exclusively on the reinfected case, without considering the epidemiological context of the event.Objectives: To perform a complete analysis of the sequential infections and transmission events around a SARS-CoV-2 reinfection, including the infection events preceding it, the exposure and subsequent transmissions.Methods: Our analysis was supported by host genetics, viral whole genome sequencing, phylogenomic viral population analysis, and refined epidemiological data obtained from interviews with the involved subjects.Results: The reinfection involved a 53-year-old woman with asthma (Case A), with a first COVID-19 episode in April-2020 and a much more severe second episode four months and a half later, with COVID-19 seroconversion in August, and requiring hospital admission. An extended genomic analysis allowed us to demonstrate that the strain involved in Case A´s reinfection was circulating in the epidemiological context of Case A and was also transmitted subsequently from Case A to her family context. The reinfection was also supported by a phylogenetic analysis, including 348 strains from Madrid, which revealed that the strain involved in the reinfection was circulating by the time Case A suffered the second episode, August/September-2020, but absent at the time range corresponding to Case A´s first episode.Conclusion: We present the first complete analysis of the epidemiological scenario around a reinfection by SARS-CoV-2, more severe than the first episode, including three cases preceding the reinfection, the reinfected case per se, and the subsequent transmission to another seven cases.
Stool pattern is associated with prevalence of tumorigenic bacteria of the microbiota and plasma and fecal fatty acids in healthy Japanese adults
Authors: Watanabe Daiki , Murakami Haruka , Ohno Harumi , Tanisawa Kumpei , Konishi Kana , Todoroki-Mori Kikue , Tsunematsu Yuta , Sato Michio , Ogata Yuji , Miyoshi Noriyuki , Kubota Naoto , Kunisawa Jun , Wakabayashi Keiji , Kubota Tetsuya , Watanabe Kenji , Miyachi Motohiko 
Published: November 2020

Abstract
Background: Colibactin-producing Escherichia coli containing polyketide synthase (pks+ E. coli) has been shown involved in colorectal cancer (CRC) development through gut microbiota analysis in animal models. Stool status has been associated with potentially adverse gut microbiome profiles from fecal analysis in adults. We examined the association between stool patterns and the prevalence of pks+ E. coli isolated from microbiota in fecal samples of 224 healthy Japanese individuals. Results: Stool patterns were determined by factorial analysis using a previously validated questionnaire including stool frequency, volume, color, shape, and odor. Factor scores were classified by tertile. The prevalence of pks+ E. coli was determined using specific primers for pks+ E. coli in fecal samples. Plasma and fecal fatty acids were measured via gas chromatography-mass spectrometry. The prevalence of pks+ E. coli was 26.8%. Three stool patterns contributed 70.1 % of all patterns seen (factor 1: lower frequency, darker color, and softer shape, factor 2: higher volume and harder shape, and factor 3: darker color and stronger odor). Multivariable adjusted odds ratios (95% confidence intervals) of the prevalence of pks+ E. coli for the highest versus the lowest third of the factor 1 score was 3.16 (1.38 to 7.24; P for trend = 0.006). This stool pattern correlated with some plasma and fecal fatty acids. No other stool patterns were significant. Conclusions: These results suggest that stool pattern may be useful for evaluating gut microbiota, including the presence of tumorigenic bacteria and fecal fatty acids. It may provide useful insight for effective early discovery strategies for CRC.
Female Students Use More Language Learning Strategies Than Male Students? - A Case Study of ESL Learners in a Macau Public University
Authors: Yao Don 
Published: November 2020

Abstract
Language Learning Strategies (LLSs) as a pluralistic and pervasive strategic system (Yan & Zha, 2011, p. 1) always attaches great importance of Second Language Acquisition (SLA). Numerous researchers have been working on this topic since the 1970s. Also, since students differ from person to person in their adoption of learning strategies and the research on differences in individuals develops, the topic of gender differentiation has arisen in the LLSs. Research related to gender and LLSs has been brought to the forefront in the last three decades, and many studies have found that gender can have a significant impact on LLSs (Zafar, 2012, p. 640). In China, most of the previous studies in learning strategies have paid attention to age, motivation, aptitude, educational level, good language learners, etc. But not much has been done in terms of the perspective of gender. Also, as one of the special economic zones in China, researchers may neglect the importance of Macau for most of them have focused more on Hong Kong. This paper then investigated the use of LLSs by a group of ESL learners in a Macau public university. It emphasized the gender differences and aimed to find out how gender affected the use of LLSs. Quantitative research method was adopted in this paper. A total of 188 ESL learners (M = 92, F = 96) participated in this study. The instrument Oxford’s 50-item Strategy Inventory for Language Learning (SILL) questionnaire was used. In consideration of their English proficiency levels, Liao’s (2002) Chinese version of the SILL questionnaire was adopted so that it was easier for students to understand. Moreover, the statistical software SPSS 22.0 was used for statistical analysis. The major findings were that gender as a variable affected students’ strategy use with female students (`X = 3.26) more frequently used strategies than male students (`X = 3.22), and they both used metacognitive strategies the most (M:`X = 3.41; F: `X = 3.49) and memory strategies the least (M:`X = 3.01; F: `X = 3.11). In terms of gender and frequency of LLSs use, metacognitive strategies showed the strongest correlation (r = .88) and memory strategies showed the weakest (r = .64). To sum up, for students, they can learn English more efficiently and effectively with the guidance of proper learning strategies. And students with gender differentiation will use more useful strategies when learning a foreign language; For teachers, they can teach students with their actual needs with the help of learning strategies.
Integrated analysis of cancer stem cells-associated lncRNA-miRNA-mRNA network for ovarian cancer via microarray and Gene Expression Omnibus database
Authors: Li Zheng , Wang Zhijiao , Zhou Yingying 
Published: November 2020

Abstract
Background: Cancer stem cells (CSCs) are associated with the recurrence, metastasis and chemoresistance of epithelial ovarian cancer. Competing endogenous RNAs (CeRNAs) play an important role in maintenance of ovarian cancer stem cell-like cells (OCSCs) characteristics. To construct a ceRNA regulatory network for OCSCs, microarray technology and Gene Expression Omnibus (GEO) database had been used. Human serous epithelial ovarian carcinoma cell line COC1 cells were treated with cisplatin and paclitaxel then maintained in stem cell conditions for 6 days to obtain CD117+/CD133+ cells (OCSCs). We identified the differentially expressed miRNAs (DEMs), lncRNA (DELs) and mRNA (DEGs) between OCSCs and COC1 by microarray and combined them with representative microarray profiles in GEO Database. Results: According to the combination, 28 DEMs were identified at first, and 452 DEGs were obtained combining with the predicted targets of these miRNAs and our mRNA microarray results. Up-regulated DEGs of them were significantly enriched in ‘p53 signaling pathway’, ‘FoxO signaling pathway’ and ‘MicroRNAs in cancer’, whereas down-regulated DEGs were significantly enriched in ‘Adherens junction’ and ‘Hepatitis C’ pathway. 29 transcripts of 17 lncRNAs should be the ceRNAs of 10 of these miRNAs according to bioinformatics predicted results and lncRNA microarray. Finally, we obtained ceRNA network with 10 DEMs, 21 DEGs, and 25 transcripts of 13 DELs which should play an important role in maintenance of OCSCs characteristics. LINC00665-miR-146a-5p-NRP2 should be one of ceRNA pathways of the network. The qPCR results indicated that the expression of miR-146a-5p in OCSCs was lower than that in COC1, and LINC00665 shows the opposite trend. These results were consistent with the results of microarray partially. When LINC00665 expression was up-regulated in COC1, the cell proliferation ability enhanced, apoptosis rate reduced, and the percentage of G2/M phase cells increased. Conclusions: The ceRNA network we constructed may be involved in the stem cell characteristics maintenance of OCSCs and provide directions for further OCSCs research in the future, so as to assist the development and treatment of ovarian cancer.
Serine 477 plays a crucial role in the interaction of the SARS-CoV-2 spike protein with the human receptor ACE2.
Authors: Singh Amit , Steinkellner Georg , Köchl Katharina , Gruber Karl , Gruber Christian C. 
Published: November 2020

Abstract
Since the worldwide outbreak of the infectious disease COVID-19, several studies have been published to understand the structural mechanism of the novel coronavirus SARS-CoV-2. During the infection process, the SARS-CoV-2 spike (S) protein plays a crucial role in the receptor recognition and cell membrane fusion process by interacting with the human angiotensin-converting enzyme 2 (hACE2) receptor. However, new variants of these spike proteins emerge as the virus passes through the host reservoir. This poses a major challenge for the design of a potent antibody against these spike proteins. Through structural bioinformatics analysis based on normal mode analysis (NMA) we identified a highly flexible region in the receptor binding domain (RBD) of SARS-CoV-2, starting from residue 475 up to residue 485. Structurally, S477 shows the highest rotational degrees of freedom among them. At the same time, S477 is the world’s most frequently mutated residue in the RBD of SARS-CoV-2. Therefore, using advanced MD simulations, we have investigated the role of S477 and its two frequent mutations (S477G and S477N) at the RBD during the binding to hACE2. We found that the amino acid exchanges S477G and S477N strengthen the binding of the SARS-COV-2 spike with the hACE2 receptor.
A propensity-matched analysis of stereotactic body radiotherapy and sublobar resection for stage I non-small cell lung cancer in patients at high risk for lobectomy: the results in a Chinese population
Authors: Chen Wu-Cheng , Yuan Xiao-Shuai , Liu Yuan-Jun , Lin Qing-Ren , Sun Xiao-Jiang , Liu Jin-Shi , Xu Ya-Ping 
Published: November 2020

Abstract
Background: To investigate comparative effectiveness of stereotactic body radiotherapy (SBRT) and sublobar resection (SLR) in patients who had stage I non-small cell lung cancer (NSCLC) and a high risk for lobectomy.Methods: From January 2012 to December 2015, patients who underwent SBRT or SLR for clinical stage I NSCLC were examined retrospectively. Propensity score matching (PSM) was performed to reduce selection biases in SBRT and SLR patients.Results: 86 SBRT and 79 SLR patients were collected. Median follow-up periods of SBRT and SLR groups were 32 and 37 months, respectively. Patients treated with SBRT exhibited significant increased age, larger tumor diameter, lower FEV1, poorer PS and higher rates of male comparing with SLR. There were no significant differences in terms of 3-year overall survival (OS) (80.3% and 82.3%, P = 0.405), cause-specific survival (CSS) (81.3% and 83.4%, P = 0.383) and local control (LC) (89.7% and 86.0%, P = 0.501) were found in SBRT and SLR patients. 49 patients were identified from each group after performing PSM. The differences of matching factors were balanced based on age, gender, performance status, tumor characteristics and pulmonary function, as no significant differences in terms of 3-year OS (85.4% and 73.3%, P = 0.649), CSS (87.2% and 74.9%, P = 0.637) and LC (95.6% and 82.1%, P = 0.055) in matched SBRT and SLR patients were observed. The rate of grade 3 or the occurrence of worse adverse events was 0 and 10.2% in the matched SBRT and SLR groups (P = 0.056), respectively.Conclusion: These results suggest that disease control and survival achieved by SBRT were equivalent to SLR in patients who had clinical stage I NSCLC and were at high risk for lobectomy. SBRT can be an alternative option to SLR in treating patients with a high operative risk.
Understanding Steps and Challenges to Take-home Naloxone and Buprenorphine/naloxone Implementation in Québec Emergency Rooms: Suboxed Project
Authors: Talbot Annie , Khemiri Rania , Londei-Leduc Luc , Robin Christine , Marcotte Suzanne , Therrien Guenièvre , Goulet Geneviève , Beaudet-Hillman Geneviève , Ouellette Christine , Brissette Suzanne , Sako Aïssata , Martin Marcel , Lauzon Pierre 
Published: November 2020

Abstract
BackgroundDeaths attributable to drug abuse are on the rise across Canada. It is estimated that there were more than 13,900 opioid-related deaths from January 2016 to June 2019 in the country. Emergency departments (EDs) are often on the frontline of care provided to people at risk of opioid overdose within Québec’s healthcare system. A variety of programs to implement take-home naloxone distribution and/or the provision of opioid agonist treatment for ED patients who are at risk for overdose have been created in the United States and in Europe. However, few EDs in Canada have developed protocols for the provision of take-home naloxone and/or opioid agonist treatment by ED doctors.MethodsA clinical algorithm for take home naloxone (THN) and prescription of buprenorphine/naloxone (B/N) was implemented in three EDs of Québec, Canada. This first phase of the SuboxED project required selecting clinical experts, describing the patient population, and creating partnerships with pharmacists and opioid agonist treatment clinics.Results:The clinical experts developed tools based on literature reviews and national and international guidelines. They also created educational tools and trained over 328 ED clinical staff. In addition, SuboxED ensured that a supply of take-home naloxone and B/n was available in the three ED sites for the study.ConclusionImplementing the proposed clinical algorithm for THN and prescription of B/N was challenging: drug supply and ED staff’s buy-in were among the most notable difficulties of SuboxED. Planning training sessions at three different institutions, each with its own governance structure and clinical culture, local realities and harm reduction priorities was complicated. Engaging already overworked ED teams consistently working in a gridlocked environments, revealed in itself to be a difficult endeavour.In the next phase of SuboxED, we will focus on data collection and analysis to evaluate both the implementation of the protocol through a retrospective review of electronic health records and satisfaction surveys of patients and healthcare professionals.Trial registration: none