bluuebunny/crossref_metadata_2025_split huggingface dataset:
The multiple uses of telemedicine during the pandemic: the evidence from a cross-sectional survey of medical doctors in Brazil
Authors: Scheffer Mário César , Cassenote Alex Jones Flores , Alves Maria Teresa Seabra Soares de Britto e , Russo Giuliano 
Published: August 2022

Abstract
BackgroundThe use of Telemedicine, or the provision of healthcare and communication services through distance-based technologies, has increased substantially since the 2019 novel coronavirus (COVID-19) pandemic. However, it is still unclear what are the innovative features of the widespread use of such modality, its forms of employment and the context in which it is used across pluralist health systems, particularly in low- and middle-income settings. We have sought to provide empirical evidence on the above issues by analysing the responses of medical doctors in a representative cross-sectional survey in two states in Brazil: São Paulo and Maranhão.ResultsIn our sample from two Brazilian states, telemedicine was employed as a form of clinical collaboration by the majority of doctors, but only a third of them used it as a modality to provide healthcare services. During the pandemic, this modality was used predominantly in COVID-19-related areas, particularly for hospital-based in-patient services and in private clinics and ambulatory settings. Male, younger doctors used this modality the most. The use of telemedicine in São Paulo was more frequent than in Maranhão; doctors in urban settings reported using such a modality more than doctors in rural areas. Approximately three-quarters of doctors in large hospitals reported using telemedicine services, followed by doctors working for smaller private clinics. Only by a minority of primary care doctors used telemedicine services.ConclusionsOur study suggests that telemedicine may have helped ensure and expand the range of communication and healthcare services in low- and middle-income settings during the pandemic. However, the modality appears to lend itself to be disproportionally used by doctors working in specific sections of pluralistic health systems, and presumably by patients seeking care there. Regulation and incentives will be required to support the adoption and use of the technology across health systems in low- and middle-income countries in order to increase access to services for less disadvantaged populations.
Peer Led Team Learning in an Undergraduate Biology Course: Impacts on Recruitment, Retention, and Imposter Phenomenon
Authors: Wiles Jason R. , Snyder Julia J. , Dunk Ryan D. P. , Sloane Jeremy D. , Cannon Isabella , Maxwell Mariah C. 
Published: August 2022

Abstract
Objectives: The data presented in this note were collected during a multi-year project conducted in the context of large-enrollment introductory biology course at a large private R-1 research institution in the Northeastern United States. The project aimed to examine the impact of Peer Led Team Learning (PLTL) on the recruitment and retention of marginalized groups in Science, Technology, Engineering, and Mathematics (STEM) majors. While several results from the project have been published, additional data of interest have yet to be reported. This data note reports on additional associations between PLTL participation and improved outcomes for students from groups that have historically been excluded in STEM. Additional data reported herein were collected to determine if students in the course experienced imposter phenomenon, and whether PLTL may be associated with reduced levels of imposter feelings.Data description: The data in this note includes academic information such as final course grades and academic level; socio-demographic information such as gender identity, minority status, and first-generation status; and information on student recruitment, retention, imposter feelings, and participation in Peer Led Team Learning (PLTL). These data might be useful and of value to education researchers and undergraduate STEM instructors who are interested in improving equity in STEM education.
Characterization of multi-domain postoperative recovery trajectories after cardiac surgery using a digital platform
Authors: Krumholz Harlan , Mori Makoto , Dhruva Sanket , Geirsson Arnar 
Published: August 2022

Abstract
Understanding postoperative recovery is critical for guiding efforts to improve post-acute phase care. How recovery evolves during the first 30 days after cardiac surgery is not well-understood. A digital platform may enable granular quantification of recovery by frequently capturing patient-reported outcome measures (PROM) that can be logistically translatable to clinical implementation strategies that support recovery.We conducted a prospective cohort study using a digital platform to measure recovery after cardiac surgery using a PROM sent every 3 days for 30 days after surgery to characterize recovery in multiple domains (e.g., pain, sleep, activities of daily living, anxiety) and to identify factors related to the patient’s perception of overall recovery. We enrolled patients who underwent cardiac surgery at a tertiary center between January 2019 and March 2020 and automatically delivered PROMs and reminders electronically. Of the 10 surveys delivered per patient, a median 8 (IQR 6-10) were completed. Patients who experienced postoperative complications more commonly belonged to the worst overall recovery trajectory. Of the 12 domains modeled, only the worst anxiety trajectory was associated with the worse overall recovery trajectory membership, suggesting that even when patients struggle in the recovery of other domains, the patient may still feel progress in their recovery.We demonstrate that using a digital platform, automated PROM data collection and characterization of multi-domain recovery trajectories is feasible and likely implementable in clinical practice. Overall recovery may be impacted by complications, while slow progress in constituent domains may still allow for the perception of overall recovery progression.
How the diversity of constructed wetlands improves the plankton communities discharged into a protected Mediterranean wetland
Authors: Carabal Nuria , Segura Matilde , Puche Eric , Rojo Carmen , Rodrigo María A. 
Published: August 2022

Abstract
Constructed wetlands (CWs) are created to enhance wildlife and improve water quality. These services are especially relevant when the CWs are linked to a natural wetland. The CWs effectiveness in improving water quality has been demonstrated, but their role in enhancing the plankton biodiversity discharged into the wetland has not. To assess this, we analysed the plankton community of three structurally different CWs created within a protected Mediterranean wetland (Albufera de València Natural Park) over two years (2014–2015). We hypothesize that alpha-diversity in the inlet communities (a species mix from anthropically disturbed environments) will be higher than those from inner and outlet sites where natural assembly processes occur, and the beta-diversity of the Natural Park will increase due to the different communities found within and between the CWs. The first hypothesis was only partially supported: in two CWs the diversity decreased due to the loss of chlorophytes and cyanobacteria, or the dominance of large copepods or cladocerans. However, when organisms in the inlet bloomed, the emerging assemblages within the CW increased the diversity, as occurred in the third CW. The species of the resulting communities were indicative of improved water quality. The second hypothesis was also proved: the CWs contributed to beta-diversity as they functioned as generators of communities. Within the CWs, vegetation and sediment supplied benthic species to the water column. Communities being discharged into the wetland were much more dissimilar than those arriving in the CWs. Therefore, the wetland assemblage beta-diversity increased thanks to the diversity of CWs.
The Expression and Effection of miR-192-5p in colorectal cancer: A Bioinformatic Analysis
Authors: Zhang Wei , Yang Xin , Wen Zhenping , Feng Li 
Published: August 2022

Abstract
Background.
Colorectal cancer (CRC), which remained the third most commonly diagnosed type of cancer globally, was in urgent need of a risk assessment method to determine an accurate treatment course. Recently, miRNA expression patterns have been identified as potential biomarkers for diagnosis, prognosis, and personalized therapy. Here, we practically verified the clinical value of miR-192-5p and thoroughly explored its target genes as well as its potential functions in CRC.
Methods.
By Bioinformatic Analysis miR-192-5p was preliminarily deemed as potential biomarkers with CRC. To learn more about their relationship, we firstly investigated the expression of miR-192-5p in The Cancer Genome Atlas (TCGA) database and constructed receiver operating characteristic (ROC) curves, baseline data sheet and Kaplan-Meier (KM) curves by R software. For further proving expression in tissual level, cancerous and adjacent non-cancerous tissues of 45 CRC patients were collected for analysis using reverse transcription quantitative real-time PCR (qRT-PCR). What’s more, miR-192-5p related cell function assays were also performed in cell lines, including transfection and scratch assays. Furthermore, we identified potential target genes, hub genes and Immune-associated cell for miR-192-5p from online datasets. Finally, A protein-protein interaction (PPI) network and biological functions were constructed to analyze the prospective mechanisms of the predicted genes.
Results.
MiR-192-5p showed a significantly higher expression level in CRC tissues than adjacent normal tissues (P < 0.001). The area under the curve (AUC) of the receiver operating characteristic (ROC) was 0.969 (95% CI: 0.952–0.987, P < 0.001). The decreased mobility of the transfected group suggested that the overexpression of miR-192-5p may inhibit the migration of colon cancer cells. Significant correlations between miR-192-5p expression and clinicopathological features such as gender (P = 0.04), clinical TNM stage (P = 0.028), Vessel carcinoma embolus (P = 0.001), lymphatic metastasis (P = 0.002) and the CEA preoperatively (P = 0.028) were observed. To examine potential target genes, we obtained 93 genes for further function analysis and the PPI network indicated that KIF20A, TPX2, CDCA5, CCNB1, CDK1, PLP1 and NRXN1 were essential hub genes in the whole network. The GO and KEGG pathway annotation indicated synaptic membrane, glutamatergic synapse, and the Drug metabolism - cytochrome P450 pathway as significant prospective mechanisms. Meanwhile, miR-192-5p was highly involved in the process of immune infiltration and formation of pluralistic components in the above tumor.
Accuracy and eligibility of Bonwill⁃Hawley arch form established by CBCT image for dental crowding measurement: a comparative study with the conventional brass wire and caliper methods.
Authors: Meng Wenyu , Xue Hui , Wang Weining , Huo Yifei , Wang Xiaoming 
Published: August 2022

Abstract
Objectives
The purpose of this study was to develop a novel Bonwill⁃Hawley method (Bonwill⁃Hawley arch form based on CBCT image) for the assessment of dental crowding, and to investigate and compare the accuracy and eligibility with the conventional brass wire and caliper methods under different crowding conditions.
Material and methods
60 patients with the pair of plaster casts and CBCT data were collected. All the casts were marked and transformed into digital models using iTero scanner, and imported into OrthoCAD software to measure the required space. Using the conventional brass wire (M1) and caliper methods (M2), the available space and dental crowding were measured and calculated basing on digital models, respectively. Correspondingly, the axial planes in the level of dental arches were oriented and captured from the CBCT images to draw the Bonwill⁃Hawley arch forms (M3), which were used to measure and calculate the available space and dental crowding. For each method, intra and inter-examiner reliabilities were elevated with intra-class correlation coefficients (ICCs). Wilcoxon test and Kruskal-Wallis test were performed for statistically analyzing the discrepancy among different groups.
Results
Both intra and inter-examiner reliability were generally excellent for all parameters obtained by the three methods, except for the dental crowding measured using M1(ICC: 0.473/0.261). The dental crowding measured using M2 were significantly increased in mild, moderate and severe-crowding groups compared with M1. However, no significant difference was detected between M1 and M3 in severe-crowding group (maxilla, p = 0.108 > 0.05; mandible, p = 0.074 > 0.05). With the deteriorate of crowding condition, the discrepancy of dental crowding between M1 and M2, or M1 and M3 were significantly decreased (maxilla, M2-M1, mild VS serve, p = 0.003 < 0.05; maxilla, M3-M1, mild VS serve, p = 0.003 < 0.05; mandible, M2-M1, mild VS serve, p = 0.000 < 0.001; mandible, M3-M1, mild VS serve, p = 0.043 < 0.05).
Conclusion
Dental crowding measured using the novel Bonwill⁃Hawley method was relatively greater than the caliper method, but not exceeding the brass wire method, which wound gradually come close to the brass wire method with the deteriorate of crowding condition.
Clinical relevance
: The Bonwill⁃Hawley method basing on CBCT image proved to be a reliable and acceptable choice for orthodontists to analyze the dental crowding.
Vector species, pasture legume host range, and impact on grain legumes of an Australian soybean dwarf virus isolate
Authors: Congdon Benjamin Steven , Baulch J.R. , Foster K.J. 
Published: August 2022

Abstract
Soybean dwarf virus (SbDV; family Tombusviridae, genus Luteovirus, species Soybean dwarf virus) can cause damaging disease epidemics in cultivated Fabaceae. The biological characteristics of SbDV isolate WA-8, including its vector species, host range and potential impact on Australian grain legume cultivars, were investigated in a series of glasshouse experiments. WA-8 was determined to be a YP strain isolate as it was transmitted by Acyrthosiphon pisum (pea aphid) and Myzus persicae (green peach aphid) and infected known strain indicator species. Of the 18 pasture legume species inoculated with SbDV, 12 were SbDV hosts including eight previously unrecorded as hosts. When inoculated with SbDV, field pea (Pisum sativum), faba bean (Vicia faba), lentil (Lens culinaris) and narrow-leafed lupin cv. Jurien were most susceptible (70 to 100% plant infection rates), and albus lupin (Lupinus albus), chickpea (Cicer arietinum) and narrow-leafed lupin cv. Mandelup were less susceptible (20 to 70%). Over the course of three experiments, chickpea was the most sensitive to infection, with > 97% reductions in dry above ground biomass (AGB) and 100% reductions in seed yield. Field pea cv. Gunyah, faba bean and lentil were also sensitive with 36 to 61% reductions in AGB. Field pea cv. Kaspa was tolerant with no significant reduction in AGB or seed yield. The information generated in this study provides important clues in understanding SbDV epidemiology and suggests it has potential to threaten to grain legume production in Australia, especially if the impacts of climate change promote its spread.
Investigation on particle assisted through-mask electrochemical etching of micro pits array
Authors: Du Liqun , Yu Mingxin , Zhai Ke , Zheng Kunming , Cheng Haohao , Wang Shuxuan , Liu Junshan 
Published: August 2022

Abstract
Microstructures are applied in various fields to improve the friction and lubrication of mechanical components. Through-mask electrochemical etching (TMEE) has shown good feasibility in machining microstructures array. However, the machining precision of microstructures gradually decreases with increasing etching depth in TMEE. Localization and uniformity are essential indicators of machining precision in TMEE. Herein, particle assisted through-mask electrochemical etching (PA-TMEE) method was proposed to improve the localization and uniformity. Firstly, a coupled multi-physical field model, including gas-liquid two-phase flow, particle motion, and electrochemical processes, was established and adopted to predict the profiles of micro pits. Secondly, a comparison experiment between PA-TMEE and traditional TMEE was performed. The experimental results show that using PA-TMEE instead of TMEE resulted in improved localization and uniformity of the micro pits array. Then, the paper analyzed the effect of particle diameter and content on micro pits. When the particle diameter was 40 µm, and the particle content was 6 g/L, the maximum etching factor was 2.4. The minimum coefficient of variation of the diameter and depth of micro pits were 3.3% and 5.2%. Finally, The machining mechanism of PA-TMEE was analyzed by Scanning Electron Microscopy and Energy Dispersive Spectrometer.
Serine protease NAL1 exerts pleiotropic functions through degradation of TOPLESS-related corepressor in rice
Authors: Li Wenjing , Yan Junjie , Zhang Yu , Zhang Fei , Guan Zeyuan , Yao Yilong , Chang Yu , Tu Haifu , Li Xiaokai , Wang Huaijun , Xiong Haiyan , Lai Xuelei , Yin Ping , Xiong Lizhong 
Published: August 2022

Abstract
NAL1 (NARROW LEAF 1) is a breeding-valuable pleiotropic gene that affects multiple agronomic traits in rice, but the molecular mechanism is largely unclear. Here, we report that NAL1 is a serine protease and displays a novel hexameric structure whose formation is mediated by ATP-containing positively charged pocket at the N-terminal region. Moreover, we identified TOPLESS-related corepressor OsTPR2 involved in multiple growth and development processes as the substrate of NAL1. We found that NAL1 degraded OsTPR2, thus modulating the expression of downstream genes related to hormone signaling pathways, eventually achieving its pleiotropic physiological function. An elite allele NAL1A originated from wild rice could increase grain yield. Furthermore, the NAL1 homologs in different crops have a similar pleiotropic function to NAL1. Our study uncovers a NAL1-OsTPR2 regulatory module and provides gene resources for the design of high-yield crops.
Prevalence and determinants of condom use among youth in Malawi: Evidence from the 2015/16 Malawi Demographic and Health Survey
Authors: Jimu Scholastica Eunice , Ntoimo Lorretta F. C. , Okonofua Friday E. 
Published: August 2022

Abstract
Background
Unprotected sexual intercourse among the youths is common in Malawi. This has led to high rates of sexually transmitted infections (STIs), Human Immunodeficiency Virus (HIV), and unwanted pregnancies. The study investigated the prevalence and the determinants of condom use for the prevention of sexually transmitted infections and unwanted pregnancies among youths in Malawi.
Methods
The 2015/2016 Malawi Demographic and Health Survey data were used among 15 to 24-year-old males and females who had sexual intercourse four months preceding the survey. A total of 1,543 males and 5,143 females were selected from 3226 males and 10367 females respectively and analyzed with SPSS version 20 using .descriptive, bivariate, and binary logistic regression.
Results
The study showed a low prevalence (27.1%) of condom use among the youths in the last sexual intercourse within four months before the survey. More males (55.8%) used condoms than females (18.5%). The significant predictors of condom use among the male and female youths were: being sexually active (OR 0.39 CI 0.33–0.47), youths aged 20–24 (OR 0.80 CI 0.68–0.95), ever married (OR 0.07 CI 0.06–0.08), residence in central region (OR 0.56 CI 0.40–0.77), and southern region (OR 0.59 CI 0.42–0.83), residence in the rural area (OR 0.74 CI 0.61–0.90) and ever tested of HIV (OR 1.29 CI 1.03–1.55).
Conclusion
Having established low prevalence of condom use among the youth in Malawi, there is a need to scale up programs and policies that target the youths to practice safe sex, which will assist in addressing the challenges of STIs, including HIV, and preventing unwanted pregnancies in Malawi.
Prevalence and Factors Associated with the Use of Psychoactive Substances by Adolescents in Public Schools in a Brazilian municipality
Authors: Vellozo Eliana Pereira , Vitalle Maria Sylvia Souza , Passos Maria Aparecida Zanetti , Niskier Sheila Rejane , Schoen Teresa Helena , Hall Peter Richard , Arcanjo Francisco Plácido Nogueira , Costa Roberto Fernandes da , Kopelman Benjamin Israel , Konstantyner Tulio 
Published: August 2022

Abstract
Objective: To estimate the prevalence and identify factors associated with the use of psychoactive substances by adolescents in public schools. Methods: Cross-sectional study, which used randomized sample of adolescents from five public schools located in a city in the central-west region of the state of São Paulo, Brazil. Information on demographic and socioeconomic characteristics, and drug use were collected through self-reported questionnaires. The sample consisted of 1460 students, 716 (49.0%) boys, aged 10-19 years (13.19±2.04 years); 459 of the 744 girls were in post-menarche, with a mean age at menarche of 11.07±0.82 years. Results: The prevalence of use of psychoactive substances in the last month was 51.0% for analgesics; alcohol 48.8%; tobacco 37.3%; tranquilizers 30.8%; marijuana 23.1%; anabolic steroids 22.6%; ecstasy 21.6%; amphetamines/stimulants 15.3%; phencyclidine 13.4%; cocaine/crack 12.9%; inhalants/solvents 12.6%; opiates 11.5%; hallucinogens 11.4%; and other unclassified drugs 16.2%. In the correlation analysis between different types of drugs, positive relationships of strong magnitude (r = .400 to .690) and highly significant (p< .01) were identified between the use of several psychoactive drugs. Elementary school students were more likely to consume tobacco (OR= 2.306; 95%CI 1.733, 3.068; p< 0.001), and male students were more likely to consume any type of substance. Conclusion: We identified a high use of psychoactive substances among the participants in this study, with a higher prevalence among male students.
Multicollinearity Applied Stepwise StochasticImputation: A Large Dataset Imputation throughCorrelation-based Regression
Authors: Leiby Benjamin D. , Ahner Darryl K. 
Published: August 2022

Abstract
This paper presents a stochastic imputation approach for large datasets using acorrelation selection methodology when preferred commercial packages struggleto iterate due to numerical problems. A variable range-based guard railmodification is proposed that benefits the convergence rate of data elementswhile simultaneously providing increased confidence in the plausibility of theimputations. A large country conflict dataset motivates the search to imputemissing values well over a common threshold of 20% missingness. TheMulticollinearity Applied Stepwise Stochastic imputation methodology(MASS-impute) capitalizes on correlation between variables within the datasetand uses model residuals to estimate unknown values. Examination of themethodology provides insight toward choosing linear or nonlinear modeling terms.Tailorable tolerances exploit residual information to fit each data element. Themethodology evaluation includes observing computation time, model fit, and thecomparison of known values to replaced values created through imputation.Overall, the methodology provides useable and defendable results in imputingmissing elements of a country conflict dataset.