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Metaverse technology can help all aspects of life in the economic, educational and business fields. however, limited information and literacy can have a negative impact, so socialization about the metaverse is needed. This study analyzes to see the effectiveness of economic opportunities in (Lake Toba tourism: example) through metaverse tourism. This study uses a descriptive qualitative method by utilizing secondary data and interviews to strengthen references and confirm the data found during the study. The virtual world in tourism has opened up new possibilities for innovation in enjoying travel. Adapting to technology that is environmentally friendly and has a positive impact on preserving nature without having to be afraid of negative issues that will reduce the interest of tourists to come to visit to enjoy natural phenomena and travel in (Lake Toba: example). Indonesia must be ready to face this technological metaverse because in the future the world will change.

Lipid-based drug delivery systems offer several advantages and have wide solubility, permeation, and bioavailability enhancement applications. This review provides detailed information on the fabrication, application and aspects of QbD of various lipid-based vesicles. Most of the review studies focused on lipid-based vesicles without the QbD aspect. This review article covers all the lipid-based systems in escalating on the method of QbD, which enhances the bioavailability of active pharmaceutical ingredients in different formulation approaches. Among all the different available approaches towards formulation development, lipid-based drug delivery systems (LBDDS) have continually maintained the limelight on themselves. One of the reasons for the popularity of LBDDS is their ability to solve problems with poorly water-soluble drugs and their bioavailability. Several drugs' efficacy was improved by utilizing this type of delivery system. Vesosomes, Phytosomes, Solid Lipid Nanoparticles (SLNs), Nanostructured Lipid Carriers (NLCs), and Archaeosomes are novel lipid-based systems with unique applications in drug delivery. Hence, the present perspective is to review the various LBDDS approaches utilized to enhance the formulations' performance while dissecting the studies systematically to get a clear outline of various LBDD subsystems, their applications, methods of preparation, and the mechanism of drug delivery. In addition to this, the review also focuses on overcoming the lacunas of the past literature by making an attempt to identify Quality target product profile (QTPP), Critical quality attributes (CQAs) and applying them for the statistical design of experiments and continuous strategy by QbD at the same time harnessing their potential in risk assessment. Applying QbD in developing lipid-based drug delivery systems reduces the number of trials and yields a product with in-built quality as it deliberates various critical variables, process parameters, risk assessment, and control strategy in formulation development.

Purpose The growth of web emerging technology and data visual demand from the World Wide Web (WWW) makes the need for information repositories become vital. Proper database development will assure the repository managing web content effectively aligns with web archive metadata standards. This paper aims to present the database design process for web archive content repository specifically to maintain social and cultural heritage values upon Malaysians as Mfigures. Design/methodology/approach The empirical process start with literature review and validation from expert on the elements and scopes of research. Then, structured database design guideline which part of database life cycle (DBLC) was applied and combined with the step of comparative and mapping the conceptual model with metadata standard that is relevant with web archive content. The paper focuses on the first three stages: Database Initial Study, web archiving and Metadata standard mapping; and conceptual design to focus on data modelling. Another two stages of database design are logical design and physical design will be exposed later. Findings The empirical process has produced initial conceptual data model, database structure that can be a basis of web archiving repository. The data model had also been verified with metadata data standards to assure the database structure implementation cater the need of web archiving repository features especially web information discovery. Research limitations/implications Nevertheless, database design is the most effective way to develop good information architecture on the Net, but the absence of some important fields on related tables have been identified such as subject, language, coverage, right, publisher and contributor. The MFigures’ database schema will continuously improve for better scope and coverage of web archive content suite with future information demands on the WWW. Practical implications The conceptual data model act as a communication tool by the technical team in web application development. It can be revisited to suite with other different database management system or to suite with other similar scope of information repository requirements. Social implications Mfigures was uniquely designed for collecting Malaysian social and cultural heritage, which are rarely design before, and it can be beneficial as Malaysia society future references for excellent motivations roles and successful stories. Originality/value The Mfigure conceptual data model was empirically design and gone through a proper validation process by the industrial and academic experts.

This is an abstract, poster and talk presentation atthe Annual Conference 2023 of the Marie Curie Alumni Association, presented in Cordoba, Spain in 24 and 25 of February. We speak about capacity building in digital and global community through training and mentoring program for Open Science ambassadors and community of practice. We present the practices for equitable participation in the program and developed open educational resources, and share an example of community response to public consultations in best practices in open science. We would like to thank the Executive Director Yo Yehudi and all Open Life Science community members. &nbsp

sj-docx-1-eso-10.1177_23969873231172559 for Predicting risk of AF in ischaemic stroke using sinus rhythm ECG abnormalities: A meta-analysis by Alexander Berry-Noronha, Luke Bonavia, Duncan Wilson, Antti Eranti, Maria Uggen Rasmussen, Ahmad Sajadieh, Fabienne Kreimer, Michael Gotzmann and Ramesh Sahathevan in European Stroke Journal

sj-docx-2-eso-10.1177_23969873231172559 for Predicting risk of AF in ischaemic stroke using sinus rhythm ECG abnormalities: A meta-analysis by Alexander Berry-Noronha, Luke Bonavia, Duncan Wilson, Antti Eranti, Maria Uggen Rasmussen, Ahmad Sajadieh, Fabienne Kreimer, Michael Gotzmann and Ramesh Sahathevan in European Stroke Journal

Supplemental material, sj-docx-3-eso-10.1177_23969873231172559 for Predicting risk of AF in ischaemic stroke using sinus rhythm ECG abnormalities: A meta-analysis by Alexander Berry-Noronha, Luke Bonavia, Duncan Wilson, Antti Eranti, Maria Uggen Rasmussen, Ahmad Sajadieh, Fabienne Kreimer, Michael Gotzmann and Ramesh Sahathevan in European Stroke Journal

sj-pptx-4-eso-10.1177_23969873231172559 for Predicting risk of AF in ischaemic stroke using sinus rhythm ECG abnormalities: A meta-analysis by Alexander Berry-Noronha, Luke Bonavia, Duncan Wilson, Antti Eranti, Maria Uggen Rasmussen, Ahmad Sajadieh, Fabienne Kreimer, Michael Gotzmann and Ramesh Sahathevan in European Stroke Journal

TheISCB Student Counciland its Regional Student Groups organizedthe 1st Asian Student Council Symposium (#ASCS2022),directly preceding theGIW XXXI/ISCB-Asia V conference.The Student Council Symposium is a forum forstudents and young researchers in Computational Biology and Bioinformatics. Participants hadthe opportunity to present their work to an international audience, build a network within the computational biology community and develop important soft skills in an environment that fosters the exchange of ideas and knowledge.

We are writing late summer 2021. We are more than a year into daily reports of mass loss of life due to the SARS-Covid 19 virus (across the globe), everyday experiences of lockdown and crackdown (p...

Further to the adoption of the UNESCO Recommendation on Open Science in November 2021, UNESCO launched a Global Call for Best Practices in Open Science. Website with more information: https://www.unesco.org/en/articles/unesco-launches-global-call-best-practices-open-science The Open Life Science team (email: team@openlifesci.org) led a workshop to facilitate discussion and put together a community solicited recommendations on the 2-3 (out of seven) selected priority areas. Workshop date: 22 June 2022 Session facilitators: Malvika Sharan, Emmy Tsang Workshop Contributors: Emmy Tsang, Yo Yehudi, Paz Bernaldo, Patricia Herterich, Mayya Sundukova, Hao Ye, Wai-Yin Kwan, Irene Ramos, Pradeep Eranti, Victoria Dominguez Del Angel Summary of workshop notes: Gracielle Higino Editor: Malvika Sharan This document is shared under a CC-BY 4.0 licence. DOI: 10.5281/zenodo.6841873. Zenodo: https://doi.org/10.5281/zenodo.6841873. Attributed to the Open Life Science community and individual contributors.

30th Annual Conference on Intelligent Systems for Molecular Biology (ISMB) -- JUL 10-14, 2022 -- Madison, WI, Motivation Wikipedia is one of the most important channels for the public communication of science and is frequently accessed as an educational resource in computational biology. Joint efforts between the International Society for Computational Biology (ISCB) and the Computational Biology taskforce of WikiProject Molecular Biology (a group of expert Wikipedia editors) have considerably improved computational biology representation on Wikipedia in recent years. However, there is still an urgent need for further improvement in quality, especially when compared to related scientific fields such as genetics and medicine. Facilitating involvement of members from ISCB Communities of Special Interest (COSIs) would improve a vital open education resource in computational biology, additionally allowing COSIs to provide a quality educational resource highly specific to their subfield. Results We generate a list of around 1500 English Wikipedia articles relating to computational biology and describe the development of a binary COSI-Article matrix, linking COSIs to relevant articles and thereby defining domain-specific open educational resources. Our analysis of the COSI-Article matrix data provides a quantitative assessment of computational biology representation on Wikipedia against other fields and at a COSI-specific level. Furthermore, we conducted similarity analysis and subsequent clustering of COSI-Article data to provide insight into potential relationships between COSIs. Finally, based on our analysis, we suggest courses of action to improve the quality of computational biology representation on Wikipedia., Harvard Medical School Master of Biomedical Informatics (MBI) Program; ISCB, We thank ISCB CEO Diane E. Kovats and ISCB Student Council members Nazeefa Fatima, Aishwarya Alex and Bart Cuypers for their support in organizing the 2021 ISCB SCS Wikipedia Hackathon. We thank the ISCB and the Harvard Medical School Master of Biomedical Informatics (MBI) Program for sponsoring the hackathon. We thank Aparna Chauhan and Nusrat Jahan Lily for hackathon participation, Russell Schwartz for useful discussion and Alex Bateman and ISMB reviewers for manuscript comments.

Motivation: Both genetic and epigenetic mechanisms influence the risk of allergic diseases (AD) and Immunoglobulin E (IgE) levels, a key intermediate phenotype in allergy. Integration of omics data related to AD and IgE can provide more insight into allergy-related mechanisms. Methodology: We applied network analysis to summary-level data from a publicly available genome-wide association study (GWAS) of AD (242,569 subjects, GWAS catalog: GCST005038), and from epigenome-wide association studies (EWAS) of IgE levels based on targeted bisulfite sequencing and conducted separately in 343 asthmatics and 370 non-asthmatics from the EGEA study. We used the STRING protein-protein interaction network as background and the SigMod method to identify modules (sub-networks) enriched in trait-associated genes. We then investigated the relationships between the AD-GWAS gene module and each of the two IgE-EWAS gene modules. Results: We identified three modules of (i) 292 genes and 1,233 interactions derived from AD-GWAS; (ii) 251 genes and 720 interactions derived from IgE-EWAS in asthmatics; (iii) 205 genes and 534 interactions derived from IgE-EWAS in non-asthmatics. More than 99% of the genes from each module were nominally associated (P≤0.05) with their respective trait. The AD-GWAS module shared eight and seven genes, respectively, with IgE-EWAS modules (asthmatics and non-asthmatics). A significant proportion of AD-GWAS module genes directly interacted with genes from each IgE-EWAS module (more than 70%, P-5). Enrichment analysis of the genes belonging to each of the two AD-GWAS and IgE-EWAS joint modules revealed a high proportion of shared pathways, including Interferon gamma signaling, pathways related to antigen presentation in the context of MHC complex, PD-1 signaling, Co-stimulation by the CD20 family, and Signaling by interleukins. This study shows shared biological mechanisms underlying AD-GWAS and IgE-EWAS gene modules and better insight into the biological mechanisms underlying the risk of allergic diseases and the regulation of IgE production., {"references":["https://doi.org/10.5281/zenodo.4321815"]}

Publisher Copyright: © 2022 Heart Rhythm Society Background: Poor R-wave progression (PRWP) is a common clinical finding on the standard 12-lead electrocardiogram (ECG), but its prognostic significance is unclear. Objective: The purpose of this study was to examine the prognosis associated with PRWP in terms of sudden cardiac death (SCD), cardiac death, and all-cause mortality in general population subjects with and without coronary artery disease (CAD). Methods: Data and 12-lead ECGs were collected from a Finnish general population health examination survey conducted during 1978–1980 with follow-up until 2011. The study population consisted of 6854 subjects. Main end points were SCD, cardiac death, and all-cause mortality. PRWP was defined as R-wave amplitude ≤ 0.3 mV in lead V3 and R-wave amplitude in lead V2 ≤ R-wave amplitude in lead V3. Results: PRWP occurred in 213 subjects (3.1%). During the follow-up period of 24.3 ± 10.4 years, 3723 subjects (54.3%) died. PRWP was associated with older age, higher prevalence of heart failure and CAD, and β-blocker medication. In multivariate analyses, PRWP was associated with SCD (hazard ratio [HR] 2.13; 95% confidence interval [CI] 1.34–3.39), cardiac death (HR 1.75; 95% CI 1.35–2.15), and all-cause mortality (HR 1.29; 95% CI 1.08–1.54). In the subgroup with CAD, PRWP had a stronger association with cardiac mortality (HR 1.71; 95% CI 1.19–2.46) than in the subgroup without CAD, while the association with SCD was significant only in the subgroup with CAD (HR 2.62; 95% CI 1.38–4.98). Conclusion: PRWP was associated with adverse prognosis in the general population and with SCD in subjects with CAD.

The shift of society toward sustainable food culture requires collectively challenging meat and dairy-based diets and their role in current practices of eating. This study focuses on how discussions in social media can facilitate reconfiguration in eating. Three practice-theoretical perspectives - practices constituting of elements, eating as a compound practice, and communities of practice - afford us with analytical tools to investigate eating and how the constituting elements are negotiated and recrafted in social media discussions across the compound practice. As empirical data, we use altogether 14,250 social media messages on the Finnish Vegan Challenge campaign. By combining qualitative content analysis with topic modeling, we capture the various themes occurring in these discussions and their relation to changes in eating practices. The results show that within these discussions, social learning among peers covered the whole sphere of eating-related practices from production and distribution to purchasing and cooking vegan food, and to sharing stories and experiences of veganism. Our findings illustrate how these discussions can be seen as forming a reconfigurative community of practice, which can potentially support and facilitate social change of eating toward sustainability also outside the Vegan Challenge community.

Objective: To identify ECG changes in sinus rhythm that may be used to predict subsequent development of new AF. Method: We identified prospective and retrospective cohort or case control studies evaluating ECG patterns from a 12-lead ECG in sinus rhythm taken in hospital or community predicting subsequent development of new AF. For each identified ECG predictor, we then identify absolute event rates and pooled risk ratios (RR) using an aggregate level random effects meta-analysis. Results: We identified 609,496 patients from 22 studies. ECG patterns included P wave terminal force V1 (PTFV1), interatrial block (IAB) and advanced interatrial block (aIAB), abnormal P wave axis (aPWA), PR prolongation and atrial premature complexes (APCs). Pooled risk ratios reached significance for each of these; PTFV1 RR 1.48 (95% CI 1.04–2.10), IAB 2.54 (95% CI 1.64–3.93), aIAB 4.05 (95% CI 2.64–6.22), aPWA 1.89 (95% CI 1.25–2.85), PR prolongation 2.22 (95% CI 1.27–3.87) and APCs 3.71 (95% CI 2.23–6.16). Diabetes reduced the predictive value of PR prolongation. Conclusion: APC and aIAB were most predictive of AF, while IAB, PR prolongation, PTFV1 and aPWA were also significantly associated with development of AF. These support their use in a screening tool to identify at risk cohorts who may benefit from further investigation, or following stroke, with empirical anticoagulation.

Structures of political power, as well as power differentials and social inequality, are reproduced by means of culture, symbols, ideologies, and imaginaries. The material bases of power, including...

Direction of arrival (DOA) is one of the essential topics in array signal processing that has many applications in communications, smart antennas, seismology, acoustics, radars, and many more. As the applications of DOA estimation are broadened, the challenges in implementing a DOA algorithm arise. Different environments require different modifications to the existing methods. This paper reviews the DOA algorithms in the literature. It evaluates and compares the performance of the three well known algorithms, including MUSIC, ESPRIT, and Eigenvalue Decomposition (EVD), with and without using adaptive directional time–frequency distributions (ADTFD) at the preprocessing stage. We simulated a case with four sources and three receivers. The sources were well separated. Signals were received at each sensor with an SNR value of −5 dB, 0 dB, 5 dB, and 10 dB. The angles of the sources were 15, 30, 45, and 60 degrees. The simulation results show that the ADTFD algorithm significantly improved the performance of MUSIC, while it did not provide similar results for the ESPRIT and EVD methods. As expected, the computation time of the algorithms was increased by implementing the ADTFD algorithm as a preprocessing step.

PurposeThis study investigates the level of artificial intelligence (AI) awareness among library leaders, practitioners and scientists of Indonesian academic libraries to elucidate the benefits of AI implementation and its necessary infrastructure and challenges.Design/methodology/approachThe study adopted a purposive sampling technique to select the 38 participants and thematic analysis to analyze the data, identifying eight themes: understanding of AI, AI adoption, benefits of AI, competencies needed to support AI, facilities to support AI, factors supporting AI adoption, AI-inhibiting factors and expectations of AI.FindingsDifferent viewpoints provided full awareness among library stakeholders and sufficient information to begin AI initiatives in Indonesian libraries as leaders, practitioners and scientists had a favorable, open and encouraging outlook on AI.Research limitations/implicationsThe study does not investigate variations in perspectives between the participants, but it examines their understanding of AI and elaborates the results into the concept of an intelligent library. Moreover, this study only uses samples from academic libraries.Practical implicationsLibraries can take these results into consideration before implementing AI, especially in technology and facilities, librarian competency with regard to AI and leadership roles in AI projects.Social implicationsLibrary boards and library associations can use this research as a source to create guidelines about AI implementation in academic libraries.Originality/valueThe study addresses the gap in the research on university libraries' readiness and awareness to implement AI, especially in developing countries.

We argue that ‘topics’ of topic models can be used as a useful proxy for frames if (1) frames are operationalized as connections between concepts; (2) theme-specific data are used; and (3) topics are validated in terms of frame analysis. Demonstrating this, we analyse 12 climate change frames used by NGOs, governments and experts in Indian and US media, gathered by topic modeling. We contribute methodologically to topic modeling in the social sciences and frame analysis of public debates, and empirically to research on climate change media debates.

SummaryUnder standard care, psychotic disorders can have limited response to treatments, high rates of chronicity and disability, negative impacts on families, and wider social and economic costs. In an effort to improve early detection and care of individuals developing a psychotic illness, early intervention in psychosis services and early detection services have been set up in various countries since the 1980s. In April 2016, NHS England implemented a new ‘access and waiting times’ standard for early intervention in psychosis to extend the prevention of psychosis across England. Unfortunately, early intervention and early detection services are still not uniformly distributed in the UK, leaving gaps in service provision. The aim of this paper is to provide a business case model that can guide clinicians and services looking to set up or expand early detection services in their area. The paper also focuses on some existing models of care within the Pan-London Network for Psychosis Prevention teams.

Politics is a slippery research object – for sociologists, at least. Sometimes we envy the relatively easier life of the political scientist: to observe elections, parliamentary deliberations, or p...

The authors thank DST-FIST Lab (RERDS-CPR), R&D Director, for providing necessary facilities and assistance to perform this research work., Introducción: El objetivo del presente estudio fue formular y caracterizar el Sistema Flotante (FRS, siglas en Inglés) de Amoxicilina para prolongar el tiempo de residencia gástrica y liberación del fármaco para el enfoque efectivo del Helicobacter pylori. Método: Para el presente estudio se seleccionaron como factores goma guar, Monoestearato de glicerilo (GMS), carbonato de calcio. Como reacciones, se seleccionaros el período de congelación (h), el lapso de flotación (min), y el porcentaje acumulado de liberación del fármaco (CDR). Para la experimentación se seleccionaron el diseño factorial 23 con réplicas. Resultados: Se observó que la goma guar y el GMS fueron los factores principales que afectaron el período de congelación y mostraron un efecto sinérgico (positivo). Mientras que la goma guar y el carbonato de calcio mostraron un efecto positivo y el GMS mostró un efecto antagónico (negativo) en el lapso de flotación. El porcentaje CDR mostró un efecto antagónico en todos los factores. Se emplearon curvas de nivel para identificar el diseño del espacio, análisis numéricos posteriores produjeron 12 soluciones óptimas en base a la deseabilidad. El FRS mostró un mayor AUCo-t, Cmax, tmaxy t1/2 cuando se comparó con la formulación comercial, aproximadamente 2.30 cambios múltiplos y prolongación con liberación sostenida por más de 24 h que pudo deberse a una mejor congelación. Conclusiones: Se puede concluir que el sistema flotante se desarrolló satisfactoriamente por la aplicación del Diseño de Experimentos (DoE) con menores ensayos y utilizando fácilmente los excipientes disponibles para una mejor flotación, congelación y suministro constante del fármaco., Introduction: The aim of the present study was to develop and to characterize the floating raft system (FRS) of Amoxicillin to enhance gastric residence time and drug release to target Helicobacter pylori effectively. Method: In the present study, guar gum, glyceryl monostearate (GMS), calcium carbonate were selected as factors. Gelation duration (h), floating lag time (min), and % Cumulative drug release (CDR) were selected as responses. 23 factorial design with replicates was selected for experimentation. Results: It was observed that guar gum and GMS were the major factors affecting gelation duration, increase in the quantity of both guar gum and GMS increased gelation duration i.e., sustained gelation period (24 h). Floating time increased with an increase in the amount of guar gum and calcium carbonate, whereas an increase in the quantity of GMS decreased floating time. Guar gum, calcium carbonate, and GMS exhibited an antagonistic effect on % CDR. Contour plots were used to identify design space; further numerical analysis yielded 12 best solutions based on desirability. FRS exhibited greater AUCo-t, Cmax, tmax, and t1/2 when compared to marketed formulation approximately 2.30 folds enhancement and prolongation with a sustained release for greater than 24 h that might be due to better gelation. Conclusions: It can be concluded that the floating raft system was successfully developed by the Design of experiment (DoE) application with fewer trails and by utilizing easily available excipients for better floating, gelation, and sustained delivery of the drug.

Around half of patients with early psychosis have a history of cannabis use. We aimed to determine if there are neurobiological differences in these the subgroups of persons with psychosis with and without a history of cannabis use. We expected to see regional deflations in hippocampus as a neurotoxic effect and regional inflations in striatal regions implicated in addictive processes. Volumetric, T1w MRIs were acquired from people with a diagnosis psychosis with (PwP + C = 28) or without (PwP − C = 26) a history of cannabis use; and Controls with (C + C = 16) or without (C − C = 22) cannabis use. We undertook vertex‐based shape analysis of the brainstem, amygdala, hippocampus, globus pallidus, nucleus accumbens, caudate, putamen, thalamus using FSL FIRST. Clusters were defined through Threshold Free Cluster Enhancement and Family Wise Error was set at p, Cannabis is often associated with the early course of psychotic disorders. The EfCIP study looked at four groups: People with psychosis with cannabis use, people with psychosis without cannabis use, controls with cannabis use and controls without cannabis use. We observe change in subcortical morphology in persons with psychosis with cannabis use versus persons with psychosis without cannabis use in the putamen and thalamus which may be due to compulsive use in this group.

When we presented the early 2020 issue of the European Journal of Cultural and Political Sociology, no one comprehended what the outbreak of the novel coronavirus, COVID-19, in Wuhan province, Chin...

Early repolarization (ER) has been linked to the risk of sudden cardiac death (SCD) in the general population, although controversy remains regarding risks across various subgroups.The purpose of this study was to investigate whether age and sex influence the prognostic significance of ER.We evaluated the 12-lead electrocardiograms of 6631 Finnish general population subjects age ≥30 years (mean age 50.1 ± 13.9 years; 44.5% men) for the presence of ER (J-point elevation ≥0.1 mV in ≥2 inferior/lateral leads) and followed them for 24.4 ± 10.3 years. We analyzed the association between ER and the risk of SCD, cardiac death, and all-cause mortality in subgroups according to age (50 or ≥50 years) and sex.ER was present in 367 of the 3305 subjects age50 years and in 426 of 3326 subjects ≥50 years. ER was not associated with any of the endpoints in the entire study population. After adjusting for clinical factors, ER was associated with SCD (hazard ratio [HR] 1.88; 95% confidence interval [CI] 1.16-3.07) in subjects50 but not in older subjects (interaction between ER and age group, P = .048). In the younger subgroup, women with ER had a high risk of SCD (HR 4.11; 95% CI 1.41-12.03), whereas among men ER was not associated with SCD. Finally, ER was not associated with cardiac mortality or all-cause mortality in either age group.ER is associated with SCD in subjects younger than 50 years, particularly in women, but not in subjects 50 years and older.