Database Website Research Articles

Antibiotic resistance of Riemerella anatipestifer and comparative analysis of antibiotic-resistance gene detection methods

Riemerella anatipestifer is an important pathogen in waterfowl, and is generally multidrug resistant. This study assessed the current status of Riemerella anatipestifer antibiotic resistance and antibiotic-resistance genes (ARGs), compared the results of different detection methods, and evaluated a new method of studying the association between antibiotic resistance and ARGs in Riemerella anatipestifer. In this study, 51 strains of Riemerella anatipestifer were isolated from ducks on several farms, their resistance to 28 antibiotics was assessed, and the isolates were subjected to whole-genome sequencing. The number of ARGs carried by Riemerella anatipestifer was predicted, compared, and analyzed, and the consistency between ARGs and antibiotic-resistance phenotypes was assessed. The potential for loss of resistance genes during the sequencing and assembly of genome-wide framework map was assessed, and a new ARG detection method was pilot tested. The 51 strains of Riemerella anatipestifer were multidrug resistant (MDR) and had high level of resistance to aminoglycosides, trimethoprim, lincosamides, polypeptides, and macrolides. Based on the genome-wide framework map of the 51 strains, 3 local databases of ABRicate software and 1 online database of CARD website were used to detect ARGs, and a mean of 4 to 5 ARGs were identified per isolate. Although the detection results differed according to the database used, the general performance was consistent. The online website detected more types of ARGs than the ABRicate software. The association between ARGs and antibiotic-resistance phenotypes was assessed, and the ermF gene was identified as a possible key ARGs regulating macrolide resistance of Riemerella anatipestifer. The method used to investigate and detect Riemerella anatipestifer ARGs was convenient and rapid, and had strong accuracy and pertinence. The ARGs detection method reported here combined the advantages of PCR and genome detection, and could greatly reduce workload and detect ARGs more precisely.

Roles and mechanisms of m6A modification regulating RP11-426A6.5 in laryngeal squamous cell carcinoma

Objective: To investigate the roles of N6-methyladenosine (m6A) modification in regulating RP11-426A6.5 in the development of laryngeal squamous cell carcinoma (LSCC). Methods: The methylation and expression levels of lncRNAs were identified and important lncRNAs were screened utilizing long non-coding RNA (lncRNA) m6A methylation microarray. Cancer and para cancer tissue samples were taken from 48 LSCC patients hospitalized to the Department of Otolaryngology-Head and Neck Surgery of the Second Affiliated Hospital of Harbin Medical University between January and September 2017. Expression profiling microarray was performed in 3 of 48 LSCC samples, and methylated RNA immunoprecipitation-quantitative PCR (MeRIP-qPCR) and quantitative real-time fluorescent PCR (qRT-PCR) were performed in the remaining 45 LSCC samples to verify the m6A modification and expression levels of RP11-426A6.5. Correlations between RP11-426A6.5 and clinical factors were anlysed. Laryngeal cancer cell line with low expression of RP11-426A6.5 was created in vitro using RNA interference (RNAi) technology. The 5-Ethynyl-2'-deoxyuridine (EdU) cell proliferation experiment, wound healing experiment, and transwell invasion experiment were used respectively to measure the proliferation, migration, and invasion of LSCC cells. The effect of RP11-426A6.5 down-regulation on the growth of transplanted tumors in vivo was verified by nude mice tumorigenesis assay. The Cancer Genome Atlas (TCGA) database and sequence-based RNA adenosine methylation site predictor (SRAMP) website were used to predict the enzymes and corresponding methylation sites. MazF digestion was chosen to validate the binding sites. RNAi technology was used to observe the changes in cell function after interfering with the expression of the corresponding genes of the modified enzymes. MeRIP-qPCR was used to detect the level of RP11-426A6.5 m6A cell line treated with actinomycin D was used to observe the stability of RP11-426A6.5. Results: RP11-426A6.5 methylation and expression levels were significantly higher in LSCC tissues than those in paracancerous tissues (methylation levels: 23.828±4.975 vs 20.280±3.607; expression levels: 1.197±0.314 vs 1.015±0.170, all P values<0.05). RP11-426A6.5 expression levels were closely correlated with T stage (T1-2: 1.081±0.298 vs T3-4: 1.306±0.292, χ2=5.35, P<0.05). The postoperative survival of patients with high RP11-426A6.5 expressions was significantly lower than that of patients with low RP11-426A6.5 expression (P=0.046). Assays in vitro and in vivo showed that the downregulation of RP11-426A6.5 significantly decreased the proliferation, migration, and invasion abilities of LSCC cells and the growth of transplanted tumors. The binding of methyltransferase-like 3 (METTL3), an m6A-modified enzyme, to the corresponding methylation site of RP11-426A6.5 enhanced its stability and mediated its regulation of malignant behaviors of LSCC cells. Conclusions: RP11-426A6.5 can regulate the malignant behaviors of LSCC cells, which is mediated by the m6A modification process involving in the methyltransferase METTL3.

Structural and binding studies of 2′- and 3-fucosyllactose and its complexes with norovirus capsid protein by molecular dynamics simulations

Human breast milk contains free oligosaccharides (Human Milk Oligosaccharides–HMOs) that help to protect breastfed infants against a variety of infectious diseases and act as decoy receptors. In breast milk, HMOs are the third most abundant compounds after lactose and lipids. Structural and conformational models of HMOs are quite crucial to studying the interaction with proteins and molecular recognition phenomenon. Molecular dynamics simulations for two trisaccharides HMOs (2′-FL and 3-FL) were carried out for 250 ns and the conformational models were subsequently substantiated by three replicate simulations. The conformer models of HMOs 2′-FL and 3-FL were deposited in the 3-Dimensional Structural Database for Sialic acid-containing CARbohydrates (3DSDSCAR) database website (www.3dsdscar.org). HMOs were then docked into the active site of norovirus capsid protein and are simulated for 100 ns duration. Each complex system was stabilized by direct and water-mediated hydrogen bonding interactions. Binding free energy calculations predict two possible binding modes for each complex system. The conformational flexibility and binding stability of the complex systems were calculated. The protein folding/unfolding and compactness seem to be better for the two HMOs. From a general perspective, we found that both 2′-FL and 3-FL exhibited higher binding efficacy towards norovirus capsid protein and according to the structural stability, 3-FL might be used as a preventive inhibitor for norovirus infection. Communicated by Ramaswamy H. Sarma

IMPACT OF M-BANKING ON THE PROFITABILITY OF COMMERCIAL BANKS IN INDIA

Banking sector has always been the lifeblood of any economy and specifically of developing economies.With advent developments and technological advancements this sector has seen a transformation from its conventionalform to e-banking and recently to m-banking. The present study is an attempt to describe the current state of Mobilebanking in India. This paper is an assessment towards the impact of m-banking on the profitability of scheduledcommercial banks in India. The data pertaining to the usage of mobile banking and profitability measures of allscheduled commercial banks in India has been collected through RBI website and CMIE Database for the period from 2010 to 2020. Itwas found in the study that although the usage of m-banking has tremendously increased during the period of study,it has not played any significant role towards improvisation in the profitability of these banks. Also, m-banking hasbeen suffering from network effect as currently it is in its developing stage and most of the banks have recentlyincluded the concept of m-banking in the portfolio of their services. It has been opined in the paper that if all thebanks could proceed to the path of m-banking in a proper manner, the overall profitability due to m-banking willimprove in coming years.

Village Economic Revitalization Through Technology-Based OVOP Approach

The technology-based One Village One Product (OVOP) program is a program that aims to create superior village products through technology-based marketing management. This research uses qualitative analysis and produces a digital marketing application that is ready to be used by users. The stages of the research started from data reduction, data display, verification/drawing conclusions. Data design is done by making computer-based software. The software used in the application development process is XAMPP Control Panel for database management and website configuration, PhP MyAdmin to handle MySQL administration, Visual Studio Code as source-code editor in programming languages. Qualitative analysis is used to analyze technology-based applications OVOP approach in Horsik Village and the follow-up is to build digital marketing applications according to village needs. The samples and data sources for this research were village officials, farmer groups, village communities, and all parties who became data sources. The results of this study explain that the application of technology-based OVOP is very appropriate and feasible in Horsik Village. The author has re-verified the research results and conducted trials and training regarding the use of the application. The conclusion from this study is that the application of technology-based OVOP in Horsik Village has a very high chance of succeeding and improving the village economy through increasing sales of the village's superior products. The collaboration of the government, village officials, farmer groups and institutions through the results of this research will facilitate the revitalization of Horsik Village into a productive tourism village

Multihop Routing Implementation On Fire And Gas Leakage Detection System

Fires in the house occur due to several things, such as an electrical short circuit, and another cause is a gas leak from the LPG cylinder. This fire is caused by a lack of security in the house and public knowledge, the dangers of gas levels leaking from LPG gas cylinders, the presence of small fires, and temperatures too high due to these. Fire detectors and LPG gas leaks are provided in the home environment. This detection includes preventive efforts before a fire occurs and can be extinguished immediately. The method of the fire and gas leak detection prototype using the MQ-6 sensor, fire sensor and DHT-22 temperature sensor is multihop routing. This method was chosen because of the large number of sensors used, and in this prototype, there will be five sensor nodes and one sink node. With multihop routing, the prototype of this tool can be placed in various places and is faster in detecting fires if they occur in homes. This method is also used because it can send detection results from one sensor node to the sink node to the website database and the delivery time between these nodes is very short so that fires can be prevented and handled quickly. The test results of the fire sensor used to detect fire obtained an accuracy of 100%, and the detection distance of the fire was between 20 to 100 cm. In data transmission, the number of nodes is 5. The data delivery result is the closest to the end node, the more considerable the amount of data sent, increasing relatively, from around 3017 milliseconds to 575387 milliseconds.

Establishment of a risk model correlated with metabolism based on RNA-binding proteins associated with cell pyroptosis in acute myeloid leukemia.

RNA-binding protein (RBP) regulates acute myeloid leukemia (AML) by participating in mRNA editing and modification. Pyroptosis also plays an immunomodulatory function in AML. Therefore, this study aimed to identify pyroptosis-related RBP genes that could predict the prognosis of AML patients. AML related expression data were downloaded from the UCSC website and Gene Expression Omnibus (GEO) database. Pyroptosis-RPB-related differentially expressed genes (PRBP-DEGs) were conducted with a protein-protein interactions (PPI) network to screen out the key PRBP-DEGs, based on which a risk model was constructed by Cox analysis, and evaluated by plotting Receiver operating characteristic (ROC) curves and survival curves. Independent prognostic analysis was performed and a nomogram was constructed. Finally, enrichment analysis was performed for high and low riskgroups. A total of 71 PRBP-DEGs were obtained and a pyroptosis-RPB-related risk model was constructed based on IFIT5, MRPL14, MRPL21, MRPL39, MVP, and PUSL1 acquired from Cox analysis. RiskScore, age, and cytogenetics risk category were identified as independent prognostic factors, and the nomogram based on these independent prognostic factors could accurately predict 1-, 3- and 5-year survival of AML patients. Gene set enrichment analysis (GSEA) showed that the high-risk and low-risk groups were mainly enriched in metabolic- and immune-related processes and pathways. In this study, a risk score model correlated with metabolism based on RNA-binding proteins associated with cell pyroptosis in acute myeloid leukemia was established, which provided a theoretical basis and reference value for therapeutic studies and prognosis of AML.

Clinical Trial Success Rates of Investigational Antileukemic Drugs Presented at the American Society of Hematology (ASH) Meetings

Introduction: Recent genetic discoveries involved in hematologic malignancies have resulted in breakthroughs in novel therapeutic candidate drugs. Nevertheless, drug discovery and development is a long, costly, and high-risk process in which 90% of drug candidates fail. Here, we analyzed phase 1 anti-leukemic drugs presented at ASH meetings between 2011 and 2015 as they progressed to later stage studies, publication and FDA approval. Methods: We designed a customized hand-searching strategy to identify potentially relevant studies through the ASH publications website. We based our inclusion criteria on abstracts reporting clinical trials (CTs) that assessed anti-leukemia agents to treat leukemias, MDS, and MPS. We categorized the abstracts into main report, sub-analysis, or update. We searched the ClinicalTrials.gov database, PubMed, and FDA website to identify if CTs had transitioned to subsequent phase studies, were published as full-length journal manuscripts, and/or approved by the FDA. We calculated success rates in CTs from 2011 based on a 10-year timeline to approval. Results: We identified 3929 abstracts between 2011 and 2015 and determined that 1173 were CTs. After we applied our exclusion criteria, 793 studies remained, of which 545 were main CT reports, including 260 phase I, 232 phase II, 52 phase III, and 1 phase IV CTs. We identified 147 studies as sub-analysis and 101 as data updates (Figure 1). Among the 260 phase I abstracts identified, 47 were identified from 2011; these were further explored. Nearly half of the studies involved AML (46.48%), followed by MDS (15.49%), CLL (14.08%), ALL (9.86%), CML (8.45%), and MPS (5.63%). Thirty-eight abstracts (80.85%) resulted in full-length manuscripts in journals such as Blood (36.84%), Clinical Cancer Research (21.05%), Haematologica (21.05%) and The New England Journal of Medicine (10.52%). Most of the phase I CTs indicated that the drug was well tolerated (76.6%), effective (59.57%), and 8.5% of the abstracts conclusions described the drug as promising or encouraging. However, the transition to phase II success rate was 65.96%, with AML and CLL accounting for most (60% and 50%, respectively). Transition success to phase III was substantially lower (15.22%). The highest-performing diseases in this phase were CML and MPS (100% each), CLL (50%), MDS (25%) and AML (16.67%). Ultimately, we found that nearly one in ten (10.64%) of drugs in phase I CTs were approved by the FDA. CLL, CML, MPS (100% each) have the highest performing rates that led to regulatory approval, followed by AML (33.33%). (Figure 2). Of note, one CT evaluating a single agent (Glasdegib) was subsequently approved for AML in combination with another agent, and two drugs (Ponatinib and Ropeginterferon alfa-2b) transitioned from phase II to regulatory approval. Conclusion: The clinical trial success rate in 2011 remains similar to that reported in the last few decades, with transition to phase II being the largest hurdle. Although acute leukemias were the most studied conditions, they presented the lowest performing rates, highlighting the challenges for drug development in this setting. We are continuing to evaluate investigational drugs over a 10-year period (2011-2020), and updated results will be presented at the meeting. Figure 1View largeDownload PPTFigure 1View largeDownload PPT Close modal

The expression of DLGAP5 associate with progression and prognosis in glioma

Glioma is the most common primary malignant tumor of the central nervous system and is related to poor clinical outcomes. At present, the standard treatment of glioma in clinical practice is to maximally remove the focus on the premise of protecting the neurological function, supplemented by postoperative chemotherapy and radiotherapy. However, after standard treatment, the prognosis of glioma patients is still not satisfactory. DLGAP5 has been shown to play an important role in the occurrence and progression of various tumors. This study examined the expression of DLGAP5 in glioma samples and its significance in predicting the prognosis of glioma patients. TCGA and CGGA datasets were used to explore the difference in DLGAP5 expression between glioma and normal central nervous system tissues and to investigate the prognostic value of DLGAP5 expression in glioma patients. The cBioPortal online analysis website was used to explore the gene mutations of DLGAP5 expressing in glioma. The String database and GEPIA online analysis website were used to perform Enrichment Analysis to explore the molecular mechanism of DLGAP5.In this study, we observed that DLGAP5 expression was upregulated in glioma tissues compared with normal CNS tissues and was negatively associated with the prognosis of glioma patients. DLGAP5 may affect the occurrence and progression of glioma mainly through gene mutation, gene amplification, and gene depth deletion. At the same time, the molecular inhibition of DLGAP5 may be related to the cell cycle and the p53 pathway. In conclusion, our findings suggested that DLGAP5 may be a therapeutic target and an independent prognostic indicator for glioma.

HGTree v2.0: a comprehensive database update for horizontal gene transfer (HGT) events detected by the tree-reconciliation method.

HGTree is a database that provides horizontal gene transfer (HGT) event information on 2472 prokaryote genomes using the tree-reconciliation method. HGTree was constructed in 2015, and a large number of prokaryotic genomes have been additionally published since then. To cope with the rapid rise of prokaryotic genome data, we present HGTree v2.0 (http://hgtree2.snu.ac.kr), a newly updated version of our HGT database with much more extensive data, including a total of 20 536 completely sequenced non-redundant prokaryotic genomes, and more reliable HGT information results curated with various steps. As a result, HGTree v2.0 has a set of expanded data results of 6 361 199 putative horizontally transferred genes integrated with additional functional information such as the KEGG pathway, virulence factors and antimicrobial resistance. Furthermore, various visualization tools in the HGTree v2.0 database website provide intuitive biological insights, allowing the users to investigate their genomes of interest.

Identification of Hypoxia-Related Prognostic Signature and Competing Endogenous RNA Regulatory Axes in Hepatocellular Carcinoma

Hepatocellular carcinoma (HCC) is a common type of liver cancer and one of the highly lethal diseases worldwide. Hypoxia plays an important role in the development and prognosis of HCC. This study aimed to construct a new hypoxia-related prognosis signature and investigate its potential ceRNA axes in HCC. RNA profiles and hypoxia genes were downloaded, respectively, from the Cancer Genome Atlas hepatocellular carcinoma database and Gene Set Enrichment Analysis website. Cox regression analyses were performed to select the prognostic genes and construct the risk model. The ENCORI database was applied to build the lncRNA-miRNA-mRNA prognosis-related network. The TIMER and CellMiner databases were employed to analyze the association of gene expression in ceRNA with immune infiltration and drug sensitivity, respectively. Finally, the co-expression analysis was carried out to construct the potential lncRNA/miRNA/mRNA regulatory axes. We obtained a prognostic signature including eight hypoxia genes (ENO2, KDELR3, PFKP, SLC2A1, PGF, PPFIA4, SAP30, and TKTL1) and further established a hypoxia-related prognostic ceRNA network including 17 lncRNAs, six miRNAs, and seven mRNAs for hepatocellular carcinoma. Then, the analysis of immune infiltration and drug sensitivity showed that gene expression in the ceRNA network was significantly correlated with the infiltration abundance of multiple immune cells, the expression level of immune checkpoints, and drug sensitivity. Finally, we identified three ceRNA regulatory axes (SNHG1/miR-101-3p/PPFIA4, SNHG1/miR-101-3p/SAP30, and SNHG1/miR-101-3p/TKTL1) associated with the progression of HCC under hypoxia. Here, we constructed a prognosis gene signature and a ceRNA network related to hypoxia for hepatocellular carcinoma. Among the ceRNA network, six highly expressed lncRNAs (AC005540.1, AC012146.1, AC073529.1, AC090772.3, AC138150.2, AL390728.6) and one highly expressed mRNA (PPFIA4) were the potential biomarkers of hepatocellular carcinoma which we firstly reported. The three predicted hypoxia-related regulatory axes may play a vital role in the progression of hepatocellular carcinoma.

Oncology Informatics for Lynch Syndrome Research and Care: A Literature Review.

This study aims to review and evaluate available informatics platforms for research and management purposes of Lynch syndrome (LS) to identify gaps and needs for future development. LS informatics tools were identified through literature search in four publication databases (1 and Scopus). First, the LS and functional elements of every informatics tools for LS were introduced. Then, current existing LS informatics tools were reviewed and explained. A detailed review of implemented studies shows that many types of informatics platforms are available for LS management (ie, prediction model, clinical decision support system, database website, and other tools for research and management purposes of LS). Moreover, several dimensions of existing LS informatics tools were discussed and features and positive findings were reported. Reviewing the literature reveals that several LS informatics tools were focused on gene-specific estimate, cancer risk prediction, identifying/screening patients, supporting personalized care of individuals with LS, and storing mismatch repair mutations information. Nevertheless, these platforms do not fully cover the care and research purposes. For instance, future developments of LS tools require more attention to dynamic knowledgebase, extra-colonic lynch-related cancers on the basis of precision medicine, variants of unknown significance, and support from diagnosis to surveillance for patient follow-up. Insights and recommendations provided in this study could help researchers and developers to meet the existing challenges in future developments.

Interventions to reduce stigma related to contraception and abortion: a scoping review

ObjectivesWe conducted a scoping review to identify the types, volume and characteristics of available evidence and analyse the gaps in the knowledge base for evaluated interventions to reduce contraception and...

Participatory and deliberative processes in the UK related to income insecurity: a scoping review

BackgroundDemocratising decision making related to socioeconomic policy is an area of growing interest in health inequalities research; however, there is a recognised gap between the democratic theory and practical application at a macro socioeconomic level. This gap is notable in the current UK policy context defined by over a decade of austerity, rising income insecurity, and an increase in health inequalities. Underpinned by theories related to participatory, deliberative, and economic democracy, particularly those concerned with democratic innovations, this scoping Review investigates how, when, and where participatory and deliberative processes have been used to influence socioeconomic policy over the past 15 years in the UK and how this influence might inform any so-called democratic rejuvenation moving forward. MethodsThis Review, presenting the interim findings, is structured in accordance with the Joanna Briggs Institute's guidance for conducting systematic scoping reviews and applies the PRIMSA-Scoping Review checklist. Key search terms included “public policy”, “economic policy”, “income insecurity”, “poverty”, “public participation” “decision-making”, and “democratic innovation”. Searches were conducted in EconLit, SOC Index, Sociological Abstracts, and MedLine, as well as grey literature sources, including BASE database, government, third sector, and thinktank websites for articles related to participatory and deliberative processes (informed by theories of associative and direct democracy as well as Fung's Democracy Cube of public participation) in socioeconomic policy making in the UK, in English, from January, 2007, until June, 2022. A combined framework of democratic goods and typology of interventions to tackle health inequalities were applied for analysis. Findings14 articles were included in the final review (three peer-reviewed and 11 grey literature) with a concentration of results in Scotland (six articles) and in local government (five articles). Interim findings suggest a multiplicity of activities exist under the banner of participatory and deliberative processes; however, there are few, if any, examples that influence typically closed macro socioeconomic policy making and instead disperse participatory decision-making across less empowered spaces. InterpretationAmbitions for a democratic rejuvenation to tackle the upstream socioeconomic drivers of health inequalities require critical reflection on the locus of decision-making power, as well as the fractured and challenging nature of participatory policy making. FundingThis study is part of a PhD studentship with the Medical Research Council and Chief Scientist Office, Social and Public Health Sciences Research Unit at the University of Glasgow. The studentship is funded by the Medical Research Council (MC_UU_00022/3) and Chief Scientist Office of the Scottish Government Health Directorates (SPHSU18). KS is funded by the Medical Research Council (MC_UU_12017/11 and MC_UU_00022/3) and Strategic Award (MC_PC_13027) and Chief Scientist Office of the Scottish Government Health Directorates (SPHSU18). GF is funded through the UK Medical Research Council (MC_ UU_00022/2) and the Chief Scientist Office of the Scottish Government Health Directorates (SPHSU17).

Improving our estimates: assessing misclassification of abortion accessibility in the United States

Quantify the misclassification of abortion accessibility resulting from calculations based on block groups, census tracts, ZCTAs, or counties versus census blocks. We included 850 facilities from the 2018 ANSIRH Facility Database and Planned Parenthood website. Accessibility was the proportions of 18-44 year-old women living within a 30-, 60-, and 90-minute drive from an abortion-providing facility. We calculated accessibility using five different geographic units: census blocks, block groups, census tracts, ZCTAs, and counties. We estimated the potential magnitude of abortion accessibility misclassification resulting by calculating the difference between accessibility calculated using each geographic unit, respectively, for each drive time as compared to census blocks. In this analysis, counties, the largest geographic unit considered, underestimated national abortion accessibility compared with census blocks by up to 24.21 percentage points; while block group-, census tract, or ZCTA-based national estimates of abortion accessibility in the US resulted in small underestimates relative to estimates constructed using census blocks. Studies of population accessibility should use the smallest feasible geographic unit of analysis. While this study focused on abortion accessibility, our findings likely apply to other health services, particularly those with distributions like abortion care.

The mechanics of implementation strategies and measures: advancing the study of implementation mechanisms

BackgroundThere is a fundamental gap in understanding the causal mechanisms by which strategies for implementing evidence-based practices address local barriers to effective, appropriate service delivery. Until this gap is addressed, scientific knowledge and practical guidance about which implementation strategies to use in which contexts will remain elusive. This research project aims to identify plausible strategy-mechanism linkages, develop causal models for mechanism evaluation, produce measures needed to evaluate such linkages, and make these models, methods, and measures available in a user-friendly website. The specific aims are as follows: (1) build a database of strategy-mechanism linkages and associated causal pathway diagrams, (2) develop psychometrically strong, pragmatic measures of mechanisms, and (3) develop and disseminate a website of implementation mechanisms knowledge for use by diverse stakeholders.MethodsFor the first aim, a combination of qualitative inquiry, expert panel methods, and causal pathway diagramming will be used to identify and confirm plausible strategy-mechanism linkages and articulate moderators, preconditions, and proximal and distal outcomes associated with those linkages. For the second aim, rapid-cycle measure development and testing methods will be employed to create reliable, valid, pragmatic measures of six mechanisms of common strategies for which no high-quality measures exist. For the third aim, we will develop a user-friendly website and searchable database that incorporates user-centered design, disseminating the final product using social marketing principles.DiscussionOnce strategy-mechanism linkages are identified using this multi-method approach, implementation scientists can use the searchable database to develop tailored implementation strategies and generate more robust evidence about which strategies work best in which contexts. Moreover, practitioners will be better able to select implementation strategies to address their specific implementation problems. New horizons in implementation strategy development, optimization, evaluation, and deployment are expected to be more attainable as a result of this research, which will lead to enhanced implementation of evidence-based interventions for cancer control, and ultimately improvements in patient outcomes.

Systematic literature review of cost-effectiveness analyses of robotic-assisted radical prostatectomy for localised prostate cancer

ObjectivesReview and assess cost-effectiveness studies of robotic-assisted radical prostatectomy (RARP) for localised prostate cancer compared with open radical prostatectomy (ORP) and laparoscopic radical prostatectomy (LRP).DesignSystematic review.SettingPubMed, Embase, Scopus, International HTA...

Exploring the Sustainability of China’s New Energy Vehicle Development: Fresh Evidence from Population Symbiosis

It is particularly important to measure the growth prospects of new energy vehicles, especially electric vehicles, as they can effectively reduce the negative effects of the greenhouse effect. The population dynamics analysis model provides a method to comprehensively evaluate the growth mechanism, mode, and development prospects of new energy vehicles. In this research, the sales data of 20 automobile manufacturing enterprises were counted from the website database of the China Automobile Industry Association, and their development mechanism, development mode, and development trend were analyzed in order to help researchers understand the development prospects of China’s new energy vehicle enterprises. The conclusion is that the analysis results of the single population logistic model show that the intrinsic growth rate of Chinese new energy vehicle enterprises is generally relatively low. The intrinsic growth rate of China’s new energy automobile enterprises is lower than that of other mature traditional automobile manufacturing enterprises in China. The level of intrinsic growth rate of new energy vehicle enterprises is similar to that of declining enterprises with significantly declining sales. The Lotka–Volterra model provides the analysis results of the growth mechanism driven by market demand of automobile manufacturing sample enterprises. The market driven mode of China’s new energy vehicle enterprises is not obvious. It is difficult for the current development mechanism of China’s new energy vehicle enterprises to achieve the sustainability of growth. The optimization results of the MCGP model show that China’s new energy vehicle enterprises should transform to a market-driven development model.

An overview of the tropical cyclone database at the Central Weather Bureau of Taiwan

Taiwan’s Central Weather Bureau (CWB) has established a new version of tropical cyclone (TC) database to provide users with comprehensive TC data services. As of June 2022, the database includes 1673 TCs originating in the western North Pacific and South China Sea regions since the CWB began TC forecasting operations in 1958. It collects not only the track dataset, satellite imagery, and synoptic weather charts, but also more detailed data and products of TCs that have impacted Taiwan, such as radar reflectivity imagery, high-density surface observations, dropwindsonde data from aircraft observations, and mesoscale analysis maps of rainfall, wind, pressure, and temperature. Such detailed data realistically preserves the TC’s journey across Taiwan and is a feature of the CWB TC database. In addition, the TC database website (https://rdc28.cwb.gov.tw/TDB/) provides tools that allow users to search for TCs of interest based on track, rainfall, and wind. Digital best track data since 1958 is available (https://rdc28.cwb.gov.tw/TDB/manager/obs_data_download/) for users to download and conduct TC research. Also included are technical reports summarizing extensive historical observational research focusing on the mesoscale variations during a TC’s passage over Taiwan. The TC database has been widely used in academic research, disaster prevention, crop revenue insurance, offshore wind power, and other fields. It will continue to develop useful products and integrate more diverse observations to meet the needs of different users.

SC2sepsis: sepsis single-cell whole gene expression database.

Sepsis, one of the major challenges in the intensive care unit, is characterized by complex host immune status. Improved understandings of the phenotypic changes of immune cells during sepsis and the driving molecular mechanisms are critical to the elucidation of sepsis pathogenesis. Single-cell RNA sequencing (scRNA-seq), which interprets transcriptome at a single-cell resolution, serves as a useful tool to uncover disease-related gene expression signatures of different cell populations in various diseases. It has also been applied to studies on sepsis immunopathological mechanisms. Due to the fact that most sepsis-related studies utilizing scRNA-seq have very small sample sizes and there is a lack of an scRNA-seq database for sepsis, we developed Sepsis Single-cell Whole Gene Expression Database Website (SC2sepsis) (http://www.rjh-sc2sepsis.com/), integrating scRNA-seq datasets of human peripheral blood mononuclear cells from 45 septic patients and 26 healthy controls, with a total amount of 232 226 cells. SC2sepsis is a comprehensive resource database with two major features: (i) retrieval of 1988 differentially expressed genes between pathological and healthy conditions and (ii) automatic cell-type annotation, which is expected to facilitate researchers to gain more insights into the immune dysregulation of sepsis.Database URL http://www.rjh-sc2sepsis.com/