Comprehensive Online Research Articles

Qualitative Evaluation of A Comprehensive Online Wellness Program Among People with Spinal Cord Injury

<h3>Research Objectives</h3> To investigate the perceptions of people with SCI who participated in an eight-week, group-based telewellness program (MENTOR – Mindfulness, Exercise, and Nutrition To Optimize Resilience). <h3>Design</h3> This was a retrospective, qualitative program evaluation conducted via telephone interviews. <h3>Setting</h3> Participants who completed MENTOR were contacted via telephone to participate in a program evaluation interview. Participants were located in several cities across the U.S. <h3>Participants</h3> 14 individuals with SCI who completed a free, home-based telewellness program. Eligibility criteria included: 1) 18 to 70 years of age; 2) internet access; and 3) ability to access the program materials independently. <h3>Interventions</h3> The entire MENTOR program was conducted remotely and included no in-person interactions. Several months after completing MENTOR, participants were contacted via telephone to participate in a program evaluation interview. The interview lasted no longer than 30 minutes and included approximately 10 questions. The questions were semi-structured and asked participants about their overall thoughts of the program, likes/dislikes, potential benefits, and general questions pertaining to the 3 core components of the program (exercise, mindfulness, and nutrition). <h3>Main Outcome Measures</h3> Inductive thematic analysis was used to analyze qualitative data. Codes were generated iteratively across each transcription. In consideration of the small sample size of the study, the coders aimed to generate a small number of rich themes with only one code level per theme to enhance the likelihood of saturation. <h3>Results</h3> Qualitative analysis yielded 5 themes: 1) MENTOR provided an intimate online community for personal growth through peer support; 2) socialization, relationship building, and the program's holistic nature were enjoyable aspects of MENTOR; 3) tailored approaches from knowledgeable, personable coaches contributed to high program quality; 4) program components facilitated maintenance of health decision-making behaviors; and 5) improved psychological wellbeing related to the mindfulness classes. <h3>Conclusions</h3> MENTOR appears to benefit the physical and mental health of people with SCI. As a government-sponsored program, there is significant opportunity to continue building from these preliminary findings in future iterations of the program. <h3>Author(s) Disclosures</h3> The authors report no conflicts of interest.

Comprehensive Online Reversed-Phase × Chiral Two-Dimensional Liquid Chromatography-Mass Spectrometry with Data-Independent Sequential Window Acquisition of All Theoretical Fragment-Ion Spectra-Acquisition for Untargeted Enantioselective Amino Acid Analysis.

This work presents an advanced analytical platform for untargeted enantioselective amino acid analysis (eAAA) by comprehensive achiral × chiral 2D-LC hyphenated to ESI-QTOF-MS/MS utilizing data-independent SWATH (sequential window acquisition of all theoretical fragment-ion spectra) technology. The methodology involves N-terminal pre-column derivatization with 6-aminoquinolyl-N-hydroxysuccinimidyl carbamate (AQC; AccQ) as retention, selectivity, and MS tag, supporting retention and UV detection in RPLC (1D), chiral recognition, and thus enantioselectivity by the core-shell tandem column composed of a quinine carbamate weak anion exchanger (QN-AX) and a zwitterionic chiral ion-exchanger (ZWIX(+)) (2D) as well as the ionization efficiency during positive electrospray ionization due to a high proton affinity of the AQC label. Furthermore, the urea-type MS tag gives rise to the generation of AQC-tag characteristic signature fragments in MS2. The latter allows the chemoselective mass spectrometric filtering of targeted and untargeted N-derivatized amino acids or related labeled species. The chiral core-shell tandem column provides a complete enantioselective amino acid profile of all proteinogenic amino acids within 1 min, with full baseline separation of all enantiomers, but without resolution of isomeric Ile/allo-Ile (aIle)/Leu, which can be resolved by RPLC. The entire LC × LC separation occurs within a total run time of 60 min (1D), with the chiral 2D operated in gradient elution mode and a cycle time of 60 s. A strategy to mine the 2D-LC-SWATH data is presented and demonstrated for the qualitative eAAA of two peptide hydrolysate samples of therapeutic peptides containing common and uncommon as well as primary and secondary amino acids. Absolute configuration assignment of amino acids using template matching for all proteinogenic amino acids was made feasible due to method robustness and the inclusion of an isotopically labeled L-[U-13C15N]-AA standard. The quantification performance of this LC × LC-MS/MS assay was also evaluated. Accuracies were acceptable for the majority of AAs enabling AA composition determination in peptide hydrolysates simultaneously with configuration assignment, as exemplified by oxytocin. This methodology represents a step toward truly untargeted 2D enantioselective amino acid analysis and metabolomics.

FAVOR: functional annotation of variants online resource and annotator for variation across the human genome.

Large biobank-scale whole genome sequencing (WGS) studies are rapidly identifying a multitude of coding and non-coding variants. They provide an unprecedented resource for illuminating the genetic basis of human diseases. Variant functional annotations play a critical role in WGS analysis, result interpretation, and prioritization of disease- or trait-associated causal variants. Existing functional annotation databases have limited scope to perform online queries and functionally annotate the genotype data of large biobank-scale WGS studies. We develop the Functional Annotation of Variants Online Resources (FAVOR) to meet these pressing needs. FAVOR provides a comprehensive multi-faceted variant functional annotation online portal that summarizesand visualizes findings of all possible nine billion single nucleotide variants (SNVs) across the genome. It allows for rapid variant-, gene-and region-level queries of variant functional annotations. FAVOR integrates variant functional information from multiple sources to describe the functional characteristics of variants and facilitates prioritizing plausible causal variants influencing human phenotypes. Furthermore, we provide a scalable annotation tool, FAVORannotator, to functionally annotate large-scale WGS studies and efficiently store the genotype and their variant functional annotation data in a single file using the annotated Genomic Data Structure (aGDS) format, making downstream analysis more convenient. FAVOR and FAVORannotator are available at https://favor.genohub.org.

Knowledge, awareness, and prevalence of various types of suturing techniques used for intraoral wound closure.

Wound closing is critical to the completion of any surgical operation. An imperfect closure causes edge isolation, creating a possible route for bacterial contamination, which can lead to infection and scarring. While tissue adhesives and staples are now used as substitutes, surgical sutures remain the gold standard for a safe wound. The aim of this survey is to assess dental students' knowledge on the variety of suturing techniques. A comprehensive online survey of 100 dental students with simple questions about different types of sutures was performed. Each student was asked to complete a questionnaire of 20 questions. This study saw a total of 100 students take part in it. It was found that 58% of the participants opted for interrupted suturing technique and the rest 42% opted for simple continuous technique. It was found that 23% of the participants were not aware of the simple loop suturing technique and the rest 77% were aware of this suturing technique. Thus from the above results and discussion, we will conclude that almost all of the members are fairly privy to the distinctive suturing strategies; however; intensive expertise is required.

110 DEVELOPMENT AND DELIVERY OF A MULTI-DISCIPLINARY HYBRID EDUCATION PROGRAM IN SYNCOPE AND RELATED DISORDERS DURING THE COVID-19 PANDEMIC

Abstract Background Syncope and related disorders is an important area for training of all health professionals. During the COVID-19 pandemic, we adapted the delivery of our annual face-to-face certified program to a 9-month hybrid program. Here, we describe the development, delivery, and evaluation of such new program. Methods A pre-existing curriculum was modified to incorporate online content, online lecture delivery and interactive group learning, in addition to individual practical placements in a syncope management unit, in line with government and hospital infection control guidance at the time. Monthly content included video consultant case presentations, ECG analysis and interpretation, and instructional videos of diagnostic testing and relevant technologies. A comprehensive online week-long lecture program was developed. Results The lecture week included 30 clinical lectures, 10 clinical case presentations and 10 ‘how to’ practical videos for testing/monitoring procedures. Further learning over zoom incorporated learner case presentations in a small group format. At the completion of the course the leaners attended a final online half day of lectures and completed the multi choice question examination. Conclusion “Thank you so much for putting together such a fantastic week of training.” “The quality and expertise of the speakers was outstanding.” “I have taken a huge amount away to incorporate into my practice and local unit.” The above learner feedback is consistent with our aim to deliver a high-quality specialist program for those interested in advancing the management of syncope and related disorders. Over time, this specialist training will aid the development of regional syncope management units across Ireland. The benefits of a hybrid learning model include multiple options to cater for all categories of learners, thus suggesting it is the cornerstone of future learning modalities.

Online optical inspection of electrolytic copper plate based on digital moiré

The application of automatic inspection plays an important role in improving the quality of industrial products. Aiming at nodules on the surface of electrolytic copper plate, this article introduces a comprehensive optical online inspection method. In order to obtain dynamic information of product and overcome the interference of random factors such as large-curvature deformation, position deviation and tilt, the system integrates a variety of single technologies including digital moiré, image recognition and spatial transformation. The online test results show that the system can effectively extract the information of nodules and automatically classify the products according to the set threshold.

MADET: a Manually Curated Knowledge Base for Microbiomic Effects on Efficacy and Toxicity of Anticancer Treatments.

A plethora of studies have reported the associations between microbiota and multiple diseases, leading to the development of at least four databases to demonstrate microbiota-disease associations, i.e., gutMDisorder, mBodyMap, Gmrepo, and Amadis. Moreover, gut microbiota mediates drug efficacy and toxicity, whereas a comprehensive database to elucidate the microbiota-drug associations is lacking. Here, we report an open-access knowledge base, MADET (Microbiomics of Anticancer Drug Efficacy and Toxicity), which harbors 483 manually annotated microbiota-drug associations from 26 studies. MADET provides user-friendly functions allowing users to freely browse, search, and download data conveniently from the database. Users can customize their search filters in MADET using different types of keywords, including bacterial name (e.g., Akkermansia muciniphila), anticancer treatment (e.g., anti-PD-1 therapy), and cancer type (e.g., lung cancer) with different types of experimental evidence of microbiota-drug association and causation. We have also enabled user submission to further enrich the data documented in MADET. The MADET database is freely available at https://www.madet.info. We anticipate that MADET will serve as a useful resource for a better understanding of microbiota-drug associations and facilitate the future development of novel biomarkers and live biotherapeutic products for anticancer therapies. IMPORTANCE Human microbiota plays an important role in mediating drug efficacy and toxicity in anticancer treatment. In this work, we developed a comprehensive online database, which documents over 480 microbiota-drug associations manually curated from 26 research articles. Users can conveniently browse, search, and download the data from the database. Search filters can be customized using different types of keywords, including bacterial name (e.g., Akkermansia muciniphila), anticancer treatment (e.g., anti-PD-1 therapy), and cancer type (e.g., lung cancer), with different types of experimental evidence of microbiota-drug association. We anticipate that this database will serve as a convenient platform for facilitating research on microbiota-drug associations, including the development of novel biomarkers for predicting drug outcomes as well as novel live biotherapeutic products for improving the outcomes of anticancer drugs.

Development of A Framework for an Asynchronous Discussion Forum through an E-Learning Platform

Throughout the last several decades, the digital era has expanded the process of information sharing in classroom instruction in novel and surprising ways with reference to a wide variety of complex challenges. As a result, effective interactive e-learning management is critical for removing barriers to "knowledge acquisition, exchange, and construction" in this global learning community. According to a review of the pertinent literature, digital and social learning platforms, such as learning management systems (LMS), are effective guides for accomplishing comprehensive online learning. Using a quantitative approach, this paper illustrates the authors’ efforts to develop a social constructivist framework to facilitate formative assessment of an asynchronous discussion forum on various socio-scientific issues (SSI) among teenagers during the initial phase of the project. A learning management system (LMS) was utilised to collect data on project-based activities that encourage inquiry-based and problem-based learning (PBL) following the "Analyze, Design, Development, Implementation, and Evaluation" (ADDIE) model. Different methods of evaluation were implemented to determine the effectiveness of this approach in facilitating the discussions as well as to observe how students' participation in an asynchronous discussion forum improves their overall level of knowledge construction, interaction, and social network analysis (SNA). The important benefits of sharing information are looked at, and future research, innovative projects, and recommendations are shown and predicted.

Meorient: a pioneer of the digital exhibition industry

Learning outcomes This paper aims to first, identify the external and internal factors that a company needs to analyze when formulating its digital platform strategy. Based on the framework of PESTNPG (political economic social and culture technological population and globalization) and internal analysis a company should analyze both internal and external factors to formulate its digital platform strategy. For companies from emerging markets the institutional-based market created by national or local governments is important for digital platform strategy. Second dynamic capability theory and its linkages to digital platform strategy. The dynamic capabilities view is considered as a primary theoretical lens in the strategy literature to analyze a company’s strategies to achieve sustainable competitive advantages. To carry out a successful digital platform strategy companies need to build strong dynamic capabilities to capture or create opportunities and reconfigure their resources simultaneously. Third the advantages and disadvantages of different digital platform strategies (i.e. an independent digital platform and online–offline integration platform) and the possible consequences and risks of different strategies. It is important to evaluate different types of digital platform strategies that require different capabilities in terms of business structure product structure revenue structure organizational structure and technology architecture. A company needs to link these capabilities to a digital platform strategy to enable the integration (or separation) of online business with offline business. It also increases the accuracy and efficiency of online business. Fourth key points of digital platform strategy implementation. Companies need to identify key profit models for their digital platform to promote business growth and financial returns. It is equally important to increase customer value by leveraging its digital exhibition platform and to learn to use digital technology to foster organizational dematerialization. Case overview/Synopsis Zhejiang Meorient Commerce &amp; Exhibition Inc. (hereinafter referred to as “Meorient”) was a leading company in the exhibition industry in China. The unexpected outbreak of COVID-19 plunged Meorient into a state of emergency that forced it to fight for survival. Further, China had launched a national strategy of Digital China, which created new market opportunities for Meorient. As a result, Meorient gradually developed and launched its digital exhibition services in 2015. Meorient suffered significant losses in 2020 due to COVID-19 and had to formulate a new strategy based on a digital exhibition platform in 2021. Chairman Pan Jianjun had two options. One was a purely digital platform strategy without the original offline exhibition business. The other one was an online and offline integration strategy. Which option was the best way forward for Meorient? Pan had to make a choice. Some of the top management team members believed Meorient should completely transform into a digital platform company and provide comprehensive online digital exhibition services. Over the previous 20 years, Meorient had accumulated a large amount of data from domestic and foreign exhibitors and professional buyers and had gradually developed a digital exhibition platform. It was one of the companies that pioneered digital transformation within China’s exhibition industry. More conservative thinking held that Meorient's strategy should focus more narrowly on the integration of online and offline exhibition businesses. Toward the post-pandemic era, China’s national strategy of “Digital China” accelerated the development of digital infrastructures. During such critical transitional period, Meorient had to choose wisely if it was to sustain its profits or even survive. Complexity academic level The case is aimed at students in undergraduate, MBA, short course executive, EMBA or other executive education programs, especially where digital transformation is featured subject matter. Supplementary materials Teaching notes are available for educators only. Subject code CSS 11: Strategy

Reliability Analysis of Multisensor Fusion Technology in Disaster Nursing Application

The harm and impact of various natural disasters are becoming more and more obvious. Due to the high suddenness of natural disasters and the low efficiency of information sharing, our stress system will still not be able to respond to disasters in time. Therefore, facing the current complex natural environment and the diversity of disasters, we urgently need a practical and comprehensive online collaborative natural disaster protection system. Therefore, this paper proposes a disaster protection application system based on a multisensor information fusion algorithm. Firstly, the software platform of the natural disaster protection system based on multisensor is constructed; the hardware platform of multisensor disaster acquisition is designed. An information fusion algorithm based on Kalman joint filter is proposed. The main problems of joint filter are (1) improving the filtering accuracy, (2) improving the fault-tolerant performance of the filter, and (3) optimizing the fusion algorithm and reducing the amount of calculation and data communication, so as to facilitate real-time implementation of the algorithm. Combined with DS evidence theory, BP neural network, and support vector mechanism, a comprehensive diagnosis model is established. The model uses the preliminary diagnosis results of the BP neural network and support vector machine to carry out the BPA of DS evidence theory, which avoids the blindness caused by human operation. The simulation results show that the comprehensive diagnosis model can significantly improve the prediction accuracy of disasters, solve the uncertainty and fuzziness of diagnosis results of a single diagnosis model, and provide a new method for disaster protection. The results of the BP neural network in the disaster nursing system are fused at the decision level, the results show that the distribution probability corresponding to the fusion disaster category is greater than the threshold value of 0.8, and the diagnosis result can be given immediately. The diagnosis result is completely consistent with the actual disaster category.

Interrelationships between latent state-trait theory and generalizability theory within a structural equation modeling framework.

Over recent years, latent state-trait theory (LST) and generalizability theory (GT) have been applied to a wide variety of situations in numerous disciplines to enhance understanding of the reliability and validity of assessment data. Both methodologies involve partitioning of observed score variation into systematic and measurement error components. LST theory is focused on separating state, trait, error, and sometimes method effects, whereas generalizability theory is concerned with distinguishing universe score effects from multiple sources of measurement error. Despite these fundamental differences in focus, LST and GT share much in common. In this article, we use data from a widely used personality measure to illustrate similarities and differences between these two frameworks and show how the same data can be readily interpreted from both perspectives. We also provide comprehensive instructional online supplemental materials to demonstrate how to analyze data using the R package for all LST models and GT designs discussed. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

A survey of patient and medical professional perspectives on implementing osteoarthritis management programs for hip and knee osteoarthritis.

Strategies are needed to improve referral into, and uptake of, osteoarthritis (OA) management programs. This survey investigated and compared patients' and medical professionals' views around hip and knee OA management and factors impacting implementation of an osteoarthritis management program. As part of a mixed-methods program of research, patients with hip or knee OA and medical professionals routinely involved in the management of OA, were invited to complete a comprehensive online survey. All data were analysed descriptively or using chi squared tests. Survey findings for factors perceived to impact implementation of an OA management programme were triangulated with previously reported qualitative data. Fifty-three patients (38 females, 15 males) and 32 medical professionals (orthopaedic surgeons, sports physicians, rehabilitation physicians, rheumatologists and general practitioners) completed the survey. Twenty-eight patients (53%) had prior participation in the OA management programme (GLA:D® ) and 19 medical professionals (59%) had previously referred patients to the programme. Of the participants with prior exposure, 21 patients (75%) and 15 medical professionals (79%) agreed the programme was beneficial. A higher proportion of medical professionals, compared to patients, believed weight loss (100% vs. 67%), injection therapy (50% vs. 21%), hip replacement (100% vs. 62%) and knee replacement (97% vs. 62%) were effective treatments, with no differences for all other treatments. The barriers and enablers identified for referral into, and participation in, an OA management programme mostly aligned to factors identified in previous related qualitative research. Divergent factors in the survey included patients concerns about doing exercise-therapy with 81% (higher than expected) not reporting any concerns about exercising, and 19% (lower than expected) concerned about their OA joint, such as making their pain worse. This study has extended our understanding of barriers and enablers for referral into, and participation in, an OA management programme with a lower than expected number of patients being concerned about exercising due to their OA joint. Patients and medical professionals had positive views relating to the quality of the programme delivery, patient satisfaction and programme effectiveness. Medical professionals were more likely than patients to consider weight loss, injections and joint replacement as effective treatment options.

M6A-TSHub: Unveiling the Context-specific m6A Methylation and m6A-affecting Mutations in 23 Human Tissues

As the most pervasive epigenetic marker present on mRNAs and long non-coding RNAs (lncRNAs), N6-methyladenosine (m6A) RNA methylation has been shown to participate in essential biological processes. Recent studies have revealed the distinct patterns of m6A methylome across human tissues, and a major challenge remains in elucidating the tissue-specific presence and circuitry of m6A methylation. We present here a comprehensive online platform, m6A-TSHub, for unveiling the context-specific m6A methylation and genetic mutations that potentially regulate m6A epigenetic mark. m6A-TSHub consists of four core components, including (1) m6A-TSDB, a comprehensive database of 184,554 functionally annotated m6A sites derived from 23 human tissues and 499,369 m6A sites from 25 tumor conditions, respectively; (2) m6A-TSFinder, a web server for high-accuracy prediction of m6A methylation sites within a specific tissue from RNA sequences, which was constructed using multi-instance deep neural networks with gated attention; (3) m6A-TSVar, a web server for assessing the impact of genetic variants on tissue-specific m6A RNA modifications; and (4) m6A-CAVar, a database of 587,983 The Cancer Genome Atlas (TCGA) cancer mutations (derived from 27 cancer types) that were predicted to affect m6A modifications in the primary tissue of cancers. The database should make a useful resource for studying the m6A methylome and the genetic factors of epitranscriptome disturbance in a specific tissue (or cancer type). m6A-TSHub is accessible at www.xjtlu.edu.cn/biologicalsciences/m6ats.

P02.03.B Drug repurposing screen reveals glioblastoma cell line susceptibility to statins

Abstract Background The standard therapy for glioblastoma patients is tumor resection followed by radiotherapy and temozolomide chemotherapy. Although glioblastoma has been extensively molecularly profiled along with other cancers, this knowledge has not yet been translated into improved survival outcomes. We used a bioinformatics approach to identify potential novel therapeutic strategies for glioblastoma. Objectives: Comprehensive online datasets which have assessed up to 1376 cancer cell lines in multiple ways were interrogated to identify potential drug candidates for glioblastoma. Material and Methods Datasets included were from the cancer cell line encyclopedia (mRNA expression), the Achillies project (cell viability following Crispr-Cas9 knockout) and PRISM (drug treatment). A t-test comparing cell viability of glioblastoma cell lines versus other cancers was used to identify potential drug candidates, followed by the use of multiple statistical tools to investigate potential mechanism of action and status of biomarkers. Results Fluvastatin and pitavastatin were amongst the drugs with the most significant effects against glioblastoma cell lines while also being FDA approved. These effects were found in both glioblastoma cells and other cancer types with a mesenchymal-like expression phenotype. The anti-cancer properties of statins have previously been attributed to the inhibition of HMG-Coa reductase. Here, we found their effects correlated with the gene knockout of UBIAD1. We tested the effects of statins on patient-derived glioblastoma cell lines with a mesenchymal (n = 2) and non-mesenchymal phenotype (n=2). Mesenchymal-like glioblastoma cells lines were found to be more susceptible to statins. Conclusion Statins appeared to be especially effective against glioblastoma lines and the effect could be linked to the direct or indirect inhibition of UBIAD1. In vitro validation of this finding is ongoing.

Unleashing Adult Learners’ Numeracy Agency Through Self-Determined Online Professional Development

Opportunities for self-determined online professional development (OPD) are emerging, but their potential for increasing adult learners’ agency is not yet fully realised. Faced with the problem of successfully designing a self-determined comprehensive evidence-based online numeracy resource for educators who are often time poor and do not engage with online learning unless they are intrinsically motivated, we engaged in design research to conceptualise the Birth to Level 10 Numeracy Guide for educators and families. The Birth to Level 10 Numeracy Guide fosters educators’ and adult learners’ numeracy capability across numeracy focus areas from birth to level 10 (16-year-olds). This extensive OPD resource incorporates consistent design elements, double-looped learning, nonlinear learning, self-reflection, and metacognition activities to foster educators’ pedagogical content knowledge (PCK) through experiential learning. With a section dedicated to families, the resource provides suggestions and advice to parents and carers on everyday, authentic activities to develop children and young people’s numeracy understandings at home and in the local community. As education systems continue to grapple with the disruption brought about by the COVID-19 pandemic, the Birth to Level 10 Numeracy Guide is a timely, freely accessed, viable, and scalable option for providing low-cost OPD.

Do proton pump inhibitors affect the biomechanical efficiency of implant?- a systematic review.

This systematic review was executed to determine the influence of proton pump inhibitors on biomechanical efficiency of dental implants. The comprehensive online literature search was conducted on digital database of Pubmed, Cochrane database and EBSCO host, Web of Science and Scopus from 2010 to 2021(Dec).The studies included in our research comprised of randomized controlled trials and animal studies. Literature review, Letter to the editor, short communication and studies not related to the dental implants were excluded. A total of 6 studies were finalized and included in the systemic review. The proton pump inhibitors have a negative influence on the bone metabolism and adversely affect the Osseointegration of the dental implants. Further they reduce the biomechanical efficiency of dental implant which ultimately results in their failure. Proton pump inhibitors are a risk factor for dental implant survival. This conclusion has been drawn from the limited research available. Hence well designed prospective randomized controlled trials should be carried out on a large population including the users and non-users, to more thoroughly elucidate the effect of proton pump inhibitor on osseointegration process of dental implants.

PanCircBase: An online resource for the exploration of circular RNAs in pancreatic islets.

Circular RNAs (circRNAs) are a novel class of covalently closed RNA molecules that recently emerged as a critical regulator of gene expression in development and diseases. Recent research has highlighted the importance of novel circRNAs in the biosynthesis and secretion of insulin from β-cells of pancreatic islets. However, all circRNAs expressed in pancreatic islets or β-cells are not readily available in the database. In this study, we analyzed publicly available RNA-sequencing datasets of the pancreatic islets to catalog all circRNAs expressed in pancreatic islets to construct the PanCircBase (https://www.pancircbase.net/) database that provides the following resources: 1) pancreatic islet circRNA annotation details (genomic position, host gene, exon information, splice length, sequence, other database IDs, cross-species conservation), 2) divergent primers for PCR analysis of circRNAs, 3) siRNAs for silencing of target circRNAs, 4) miRNAs associated with circRNAs, 5) possible protein-coding circRNAs and their polypeptides. In summary, this is a comprehensive online resource for exploring circRNA expression and its possible function in pancreatic β-cells.

Strengthening Capacity for Implementation Research Amid COVID-19 Pandemic: Learnings From the Global Alliance for Chronic Diseases Implementation Science School.

Objective: To describe the design, delivery and evaluation of the 3rd Global Alliance for Chronic Diseases (GACD) Implementation Science School (ISS), delivered virtually in 2020 for the first time. Methods: Since 2014, GACD has supported the delivery of more than ten Implementation Science Workshops for more than 500 international participants. It has also been conducting an annual ISS since 2018. In this study, we described the design, delivery and evaluation of the third ISS. Results: Forty-six participants from 23 countries in five WHO regions attended the program. The virtual delivery was well-received and found to be efficient in program delivery, networking and for providing collaborative opportunities for trainees from many different countries. The recently developed GACD Implementation Science e-Hub was found to be an instrumental platform to support the program by providing a stand-alone, comprehensive online learning space for knowledge and skill development in implementation research. Conclusion: The delivery of the virtual GACD ISS proved to be feasible, acceptable and effective and offers greater scalability and sustainability as part of a future strategy for capacity strengthening in implementation research globally.

Hourly organic tracers-based source apportionment of PM2.5 before and during the Covid-19 lockdown in suburban Shanghai, China: Insights into regional transport influences and response to urban emission reductions

During the Covid-19 outbreak, strict lockdown measures led to notable reductions in transportation-related emissions and significantly altered atmospheric pollution characteristics in urban and suburban areas. In this work, we compare comprehensive online measurements of PM2.5 major components and organic molecular markers in a suburban location in Shanghai, China before lockdown (Dec. 28, 2019 to Jan. 23, 2020) and during lockdown (Jan. 24 to Feb. 9, 2020). The NOx levels declined sharply by 59% from 44 to 18 ppb during the lockdown, while O3 rose two times higher to 42 ppb. The PM2.5 level dropped from 64 to 49 μg m−3 (−24%). The major components all showed reductions, with the reduction of nitrate most prominent at −58%, followed by organics at −19%, and sulfate at −17%. Positive matrix factorization analysis identifies fourteen source factors, including nine primary sources and five secondary sources. The secondary sources consist of sulfate-rich factor, nitrate-rich factor, and three secondary organic aerosol (SOA) factors, with SOA_I being anthropogenic SOA, SOA_II associated with later generation products of organic oxidation, and SOA_III being biogenic SOA. The combined secondary sources contributed to 69% and 63% (40 and 22 μg m−3) of PM2.5 before and during lockdown, respectively, among which the reductions in the nitrate-rich (−55%) factor was the most prominent. Among primary sources, large reductions (>80%) were observed in contributions from industrial, cooking, and vehicle emissions. Unlike some studies reporting that the restriction during the Covid-19 resulted in enhanced secondary sulfate and SOA formation, we observed decreases in both secondary inorganic and SOA formation despite the overall elevated oxidizing capacity in the suburban site. Our results indicate that the formation change in secondary inorganic and organic compounds in response to substantial reductions in urban primary precursors are different for urban and suburban environments.

Can computer-assisted implant surgery improve clinical outcomes and reduce the frequency and intensity of complications in implant dentistry? A critical review.

Computer-assisted implant surgery (CAIS), either static or dynamic, is well documented to significantly improve the accuracy of implant placement. Whether the increased accuracy leads to a corresponding improvement in clinical outcomes has not yet been systematically investigated. The aim of this critical review was to investigate whether the use of CAIS can lead to reduction of complications as well as improved clinical and patient-reported outcomes (PROs) when compared with conventional freehand implant surgery. A comprehensive online search was conducted to identify studies where implants were installed with static computer-assisted implant surgery (s-CAIS)or dynamic computer-assisted implant surgery(d-CAIS) or combinations of the two, either compared with conventional free-hand implant placement or not. Seventy-seven studies were finally included in qualitative analysis, while data from three studies assessing postsurgical pain were suitable for a meta-analysis. Only a small number of the available studies were comparative. The current evidence does not suggest any difference with regard to intraoperative complications, immediate postsurgical healing, osseointegration success, and survival of implants placed with CAIS or freehand protocols. Intraoperative and early healing events as reported by patients in randomized clinical trials (RCTs) did not differ significantly between CAIS used with flap elevation and conventional implant placement. There is limited evidence that increased accuracy of placement with CAIS is correlated with superior esthetic outcomes. Use of CAIS does not significantly reduce the length of surgeries in cases of single implants and partially edentulous patients, although there appears to be a more favorable impact in fully edentulous patients. Although CAIS alone does not seem to improve healing and the clinical and PRO, to the extent that it can increase the utilization of flapless surgery and predictability of immediacy protocols, its use may indirectly lead to substantial improvements in all of the above parameters.