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In a growing digital landscape, enhancing the discoverability and resonance of scientific articles is essential. Here, we offer 10 recommendations to amplify the discoverability of studies in search engines and databases. Particularly, we argue that the strategic use and placement of key terms in the title, abstract and keyword sections can boost indexing and appeal. By surveying 230 journals in ecology and evolutionary biology, we found that current author guidelines may unintentionally limit article findability. Our survey of 5323 studies revealed that authors frequently exhaust abstract word limits-particularly those capped under 250 words. This suggests that current guidelines may be overly restrictive and not optimized to increase the dissemination and discoverability of digital publications. Additionally, 92% of studies used redundant keywords in the title or abstract, undermining optimal indexing in databases. We encourage adopting structured abstracts to maximize the incorporation of key terms in titles, abstracts and keywords. In addition, we encourage the relaxation of abstract and keyword limitations in journals with strict guidelines, and the inclusion of multilingual abstracts to broaden global accessibility. These recommendations to editors are designed to improve article engagement and facilitate evidence synthesis, thereby aligning scientific publishing with the modern needs of academic research.

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The Centers for Disease Control and Prevention (CDC) Science Clips is an online weekly bibliographical digest showcasing over 46,000 scientific articles and publications from 2009 to present. The digest is curated by the Stephen B. Thacker CDC Library to bring awareness to relevant and quality public health literature. This overview describes how users can access and navigate the database, and evaluates the database usability and relevance in public health.

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The Sultanate of Oman has a rich biodiversity, particularly in medicinal plants, and plays a crucial role in traditional healthcare practices. However, the wealth of knowledge about these plants is scattered across various literature, making it challenging for researchers, practitioners, and the public to access comprehensive information. Therefore, the availability of a centralized, user-friendly online database to catalog Oman's medicinal plants is of great importance. PlantMedOman presented here, which currently holds 186 records helps to enhance academic research, support drug discovery studies, promote the conservation of medicinal plants, and foster greater awareness of Oman's ethnomedicinal heritage.

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Created by the NIH in 2015, the Common Data Elements (CDE) Repository provides free online access to search and use Common Data Elements. This tool helps to ensure consistent data collection, saves time and resources, and ultimately improves the accuracy of and interoperability among datasets. The purpose of this column is to provide an overview of the database, discuss why it is important for researchers and relevant for health sciences librarians, and review the basic layout of the website, including sample searches that will demonstrate how it can be used.

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Protein structure determination and prediction, active site detection, and protein sequence alignment techniques all exploit information about protein structure and structural relationships. For membrane proteins, however, there is limited agreement among available online tools for highlighting and mapping such structural similarities. Moreover, no available resource provides a systematic overview of quaternary and internal symmetries, and their orientation relative to the membrane, despite the fact that these properties can provide key insights into membrane protein function and evolution. Here, we describe the Encyclopedia of Membrane Proteins Analyzed by Structure and Symmetry (EncoMPASS), a database for relating integral membrane proteins of known structure from the points of view of sequence, structure, and symmetry. EncoMPASS is accessible through a web interface, and its contents can be easily downloaded. This allows the user not only to focus on specific proteins, but also to study general properties of the structure and evolution of membrane proteins.

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The biochemical methane potential test is a standard method to determine the biodegradability of lignocellulosic wastes (LWs) during anaerobic digestion (AD) with disadvantages of long experiment duration and high operating expense. This paper developed a machine learning model to predict the cumulative methane yield (CMY) using the data of 157 LWs regarding physicochemical characteristics, digestion condition and methane yield, with the coefficient of determination equal to 0.869. Model interpretability analyses underscored lignin content, organic loading, and nitrogen content as pivotal attributes for CMY prediction. For the feedstocks with a cellulose content exceeding about 50%, the CMY in the early AD stage would be relatively lower than those with low cellulose content, but prolonging digestion time could promote methane production. Besides, lignin content in feedstock surpassing 15% would significantly inhibit methane production. This work contributes to valuable guidance for feedstock selection and operation optimization for AD plants.

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BACKGROUND: Social inequalities among underrepresented communities may lead to higher overdose mortality involving cocaine use. We assessed the temporal trends in cocaine-involved overdose mortality rate in the US by race, ethnicity, and geographic region from 1999 to 2020. METHODS: We conducted a cross-sectional study among adults in the US using data from the Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research database (1999 to 2020). To identify cocaine-involved overdose decedents, we used the International Classification of Diseases Code, 10th Revision-T40.5. We used Joinpoint regression to examine the trends in age-adjusted cocaine-involved overdose mortality rates (AAMR) by race, ethnicity, and geographic region and estimated annual percentage changes (APC). RESULTS: Overall, cocaine-involved overdose mortality trends increased (APC, 11.3%; 95% CI, 0.6, 23.2) from 2017 to 2020. The latest trends have remained stable among Non-Hispanic Whites since 2017 (APC, 4.3%; 95% CI, -5.7%, 15.4%) but have significantly increased among Non-Hispanic Blacks (APC, 27.2%; 95% CI, 22.1%, 32.5%), Hispanics (APC, 26.9%; 95% CI, 20.6%, 33.5%), and American Indians/Alaska Natives (APC, 24.1%; 95% CI, 16.5%, 32.2%). CONCLUSION: Cocaine-related overdose deaths in the US significantly increased between 2017 and 2020, but the increase was among racial and ethnic minorities and not among Non-Hispanic Whites. These findings suggest a need to address the US' longstanding racial and ethnic healthcare inequities.

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For more than 25 years, the National Resource Center on Domestic Violence has operated VAWnet, a freely available, online network focused on violence against women and other forms of gender-based violence. This column will provide an overview of the resources available from VAWnet, including a sample search that demonstrates how to access the resources available within as well as a discussion of how to effectively browse the thousands of materials available on VAWnet that provide life-saving information on gender-based violence and related issues.

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Chromosome numbers and information on ploidy level are of great importance for better understanding of plant evolution and taxonomy but also for species identification. Technical developments in flow cytometry dramatically improved the measurement of genome size and triggered a renewed interest in chromosome numbers. Web-based portals make these kind of data accessible for a wide audience in both academia and citizen science. The specialised database of German plant chromosome counts and ploidy estimates comprises to date more than 14,000 records covering 52% of the German taxa. The database is accessed about 70 times per month and became an integral part of several more comprehensive initiatives. One example is the Rothmaler Flora of Germany, which now for the first time features chromosome data with verified origin from the region of interest. Another is the German plant information hub FloraWeb currently amended by several new data sources with the chromosome number database as a major component.

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Chromosome numbers have been used in plant taxonomy, and they are still fundamental for taxon delimitation and genome evolution studies. South America is one of the most diverse continents in terms of plant species and there is a considerable number of species not yet analyzed. Accumulated knowledge about plant chromosome numbers has been compiled from online databases, and here we present an overview. The CCDB is one of the largest plant cytological databases and includes data for around 18% of known vascular plants in the world. In this work, we review the information contained in CCDB and in three databases with exclusive information for South America. At present, the three existing databases comprise information on around 1800 plant taxa related to specific regions, countries, or biomes. Efforts are necessary to expand cytological knowledge and to collect all the available information in a plant chromosome database for this continent.

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This column provides an overview of the Virtual Health Library (VHL) Regional Portal, a resource provided by Pan American Health Organization and others with the purpose of communicating and exchanging health experiences and information for Latin American and Caribbean countries. The content is organized in four sub-portals: the VHL Model, which describes health information and knowledge management to structures and guides; LILACS, the Latin American and Caribbean Index Health Science Literature; DeCS, Descriptors Health Sciences, a controlled vocabulary; and Training, which gathers and organizes information for librarians, developers, and users who are interested in construction and use of VHL methodologies. An overview of the resource and sample search is discussed.

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This study aims to evaluate the determinants that influence the adoption of online databases in the learning process of students at economics universities in Vietnam. A quantitative study with a meta-analysis was conducted by utilizing structural equation modeling (SEM). The sample consisted of 492 students from economics universities located in Vietnam who were surveyed using stratified random sampling. The results indicate that the adoption of online databases in student learning is influenced by six determinants, namely: (i) perceived effectiveness, (ii) perceived ease of use, (iii) technical barriers, (iv) personal usefulness, (v) usage attitudes, and (vi) convenience. Our study has revealed that students' intention to use the online database system is positively influenced by their perceived ease of use and perceived usefulness. These findings could be valuable in shaping policies for enhancing the online database system at economics universities, taking into account the students' characteristics and the institution's needs.

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Bookshelf is a database maintained by the National Center for Biotechnology Information (NCBI) at the National Library of Medicine that contains freely accessible online biomedical documents, including systematic reviews, technical reports, textbooks, and reference books. The database allows users to browse and search across all content and within individual books, and it is linked to other NCBI content. This article provides an overview of Bookshelf and demonstrates its usage in a sample search. The resources available in Bookshelf are useful for students, researchers, healthcare professionals, and librarians.

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Antioxidants are widely used in the fields of food, medicine, nutraceuticals, and cosmetics. Given their important roles in promoting and maintaining human health, a large number of antioxidants have been reported. Some antioxidant-related databases have been developed; however, the annotation of antioxidants and related information stored in existing databases is incomplete and requires more efficient retrieval methods. This study aimed to develop a manually curated comprehensive antioxidant database (AODB). Currently, it stores 56,666 small molecules tested for antioxidant activity, 1480 antioxidant peptides, and 998 antioxidant proteins, including their structures, names, antioxidant assay records, computable physicochemical and ADMET properties, and sources. AODB supports text search and mining, 2D and 3D chemical structure search, and BLAST-based protein sequence search, enabling users to retrieve antioxidant data quickly and easily. AODB, as a one-stop antioxidant database, can facilitate the exploration of antioxidants and potential applications. AODB is publicly available and updated annually at https://aodb.idruglab.cn/.

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The Genetic and Rare Diseases Information Center (GARD) is a database dedicated to aiding anyone who may be seeking assistance and knowledge regarding rare diseases. This public health resource was put into motion by the Rare Diseases Act of 2002, and uses Translational Science to enhance research procedures. People can use this resource to find support, disease facts, ongoing research information, and available treatments. The GARD database is an excellent guide for anyone wanting to increase their knowledge of rare diseases and how to help those who have a rare disorder.

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Choosing and using health insurance is a complicated task for anyone, and there are limited resources available to assist users during this process. Insuring Good Health is an online resource that was developed out of a community-based participatory research partnership to address this need. This column will provide an overview of the resources available from Insuring Good Health and outline how the website and videos can support patrons' health insurance-related information needs.

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The Health Evidence database is a collection of over 7,000 systematic reviews from multiple databases relating to the effectiveness and cost-effectiveness of public health interventions. Standardized criteria are utilized by the Health Evidence research team to assess and evaluate each systematic review included in the database, and every review is assigned a quality rating. By providing users with evidence that has already been evaluated, Health Evidence can save researchers and public health officials valuable time and resources when implementing public health measures.

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The interactions between ectodomains of cell surface proteins are vital players in many important cellular processes, such as regulating immune responses, coordinating cell differentiation, and shaping neural plasticity. However, while the construction of a large-scale protein interactome has been greatly facilitated by the development of high-throughput experimental techniques, little progress has been made to support the discovery of extracellular interactome for cell surface proteins. Harnessed by the recent advances in computational modeling of protein-protein interactions, here we present a structure-based online database for the extracellular interactome of cell surface proteins in humans, called EXCESP. The database contains both experimentally determined and computationally predicted interactions among all type-I transmembrane proteins in humans. All structural models for these interactions and their binding affinities were further computationally modeled. Moreover, information such as expression levels of each protein in different cell types and its relation to various signaling pathways from other online resources has also been integrated into the database. In summary, the database serves as a valuable addition to the existing online resources for the study of cell surface proteins. It can contribute to the understanding of the functions of cell surface proteins in the era of systems biology.

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Amyotrophic Lateral Sclerosis (ALS) is a fatal disease, progressive nature characterizes by loss of both upper and lower motor neuron functions. One of the major challenge is to understand the mechanism of ALS multifactorial nature. We aimed to explore some key genes related to ALS through bioinformatics methods for its therapeutic intervention. Here, we applied a systems biology approach involving experimentally validated 148 ALS-associated proteins and construct ALS protein-protein interaction network (ALS-PPIN). The network was further statistically analysed and identified bottleneck-hubs. The network is also subjected to identify modules which could have similar functions. The interaction between the modules and bottleneck-hubs provides the functional regulatory role of the ALS mechanism. The ALS-PPIN demonstrated a hierarchical scale-free nature. We identified 17 bottleneck-hubs, in which CDC5L, SNW1, TP53, SOD1, and VCP were the high degree nodes (hubs) in ALS-PPIN. CDC5L was found to control highly cluster modules and play a vital role in the stability of the overall network followed by SNW1, TP53, SOD1, and VCP. HSPA5 and HSPA8 acting as a common connector for CDC5L and TP53 bottleneck-hubs. The functional and disease association analysis showed ALS has a strong correlation with mRNA processing, protein deubiquitination, and neoplasms, nervous system, immune system disease classes. In the future, biochemical investigation of the observed bottleneck-hubs and their interacting partners could provide a further understanding of their role in the pathophysiology of ALS.

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Real-time quantitative polymerase chain reaction (qPCR) is a powerful tool for analyzing and quantifying gene expression, and its primer design is the first and most important step. In order to improve the efficiency and effectiveness of primer design, we designed a database qPrimerDB, based on thermodynamics gene-specific for multispecies qPCR primers design.In this chapter, we explained the working principle of the database and detailed the step-by-step practical steps with examples. The valuable and time-saving qPrimerDB database is publicly accessible at http://biodb.swu.edu.cn/qprimerdb and will be routinely updated.

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