Search Protocol Research Articles

Determinants of language development during early years: Systematic review

Purpose: This review presents findings from recent studies investigating the role of ecological factor affecting language development. Methods: A systematic search protocol was followed using both superordinate and subordinate search terms. Multiple searches were run across the major academic databases to identify all possible national and international articles that were available through search engines commonly used. Results: Several cross-sectional and longitudinal studies demonstrate many ecological factors like maternal interactions, child early babbling, motor development, home environment, birth order, and sibling, SES underline the detrimental effects child language development. Thus, input effects on language outcomes persist even in the absence of genetic confounds. Conclusion: This review throws light on preventive and intervention measures that could be taken for language development in the early years

Genotype-Phenotype Relations for Episodic Ataxia Genes: MDSGene Systematic Review.

Most episodic ataxias (EA) are autosomal dominantly inherited and characterized by recurrent attacks of ataxia and other paroxysmal and non-paroxysmal features. EA is often caused by pathogenic variants in the CACNA1A, KCNA1, PDHA1, and SLC1A3 genes, listed as paroxysmal movement disorders (PxMD) by the MDS Task Force on the Nomenclature of Genetic Movement Disorders. Little is known about the genotype-phenotype correlation of the different genetic EA forms. We performed a systematic review of the literature to identify individuals affected by an episodic movement disorder harboring pathogenic variants in one of the four genes. We applied the standardized MDSGene literature search and data extraction protocol to summarize the clinical and genetic features. All data are available on MDSGene at MDSGene, https://www.mdsgene.org/. Information on 717 patients (CACNA1A:491, KCNA1:125, PDHA1:90, and SLC1A3:11) carrying 287 different pathogenic variants from 229 papers was identified and summarized. We show the profound phenotypic variability and overlap leading to the absence of frank genotype-phenotype correlation aside from a few key 'red flags.' Given this overlap, a broad approach to genetic testing using a panel or whole exome or genome approach is most practical in most circumstances.

Resistance of multiple stakeholders to e-health innovations: Integration of fundamental insights and guiding research paths

Consumer/user resistance is considered a key factor responsible for the failure of digital innovations. Yet, existing scholarship has not given it due attention while examining user responses to e-health innovations. The present study addressed this need by consolidating the existing findings to provide a platform to motivate future research. We used a systematic literature review (SLR) approach to identify and analyze the relevant literature. To execute the SLR, we first specified a stringent search protocol with specific inclusion and exclusion criteria to identify relevant studies. Thereafter, we undertook an in-depth analysis of 72 congruent studies, thus presenting a comprehensive structure of findings, gaps, and opportunities for future research. Specifically, we mapped the relevant literature to elucidate the nature and causes of resistance offered by three key constituent groups of the healthcare ecosystem—patients, healthcare organizational actors, and other stakeholders. Finally, based on the understanding acquired through our critical synthesis, we formulated a conceptual framework, classifying user resistance into micro, meso, and macro barriers which provide context to the interventions and strategies required to counter resistance and motivate adoption, continued usage, and positive recommendation intent. Being the first SLR in the area to present a multi-stakeholder perspective, our study offers fine-grained insights for hospital management, policymakers, and community leaders to develop an effective plan of action to overcome barriers that impede the diffusion of e-health innovations.

An Assessment of State-Level Planning for Physical Activity Promotion in the United States.

The prevalence and attributable risk of disease due to physical inactivity require it to be made a public health priority. Public health planning allows for prioritization and resource allocation, particularly at the state and local levels. The extent to which state planning efforts for physical activity exist in the United States is unknown. The purpose of this paper is to describe the scope in which physical activity is incorporated in state-level public health plans in the United States, with an emphasis on alignment with the national guidelines and the National Physical Activity Plan. A standardized internet search audit was developed and conducted for each of 50 US states and the District of Columbia between May 2017 and January 2018 to determine the prevalence and characteristics of health planning documents that include physical activity. Data abstracted for analysis used a standardized search protocol that included the components of the Physical Activity Guidelines for Americans and the US National Physical Activity Plan. Results found that most states had between 4 and 6 chronic disease prevention and control plans that mention physical activity; however, it was inconsistently aligned with recommendations from both the Guidelines and the National Plan. Only 2 states had stand-alone public health planning documents explicitly dedicated to physical activity promotion. No state planning documents addressed children and adolescents, adults, and older adults simultaneously. To be maximally effective, state public health planning for physical activity should be made a priority and these efforts should align as much as possible with current guidance from the Physical Activity Guidelines for Americans and the US National Physical Activity Plan.

A Systematic Literature Review on Cyber Security Education for Children

<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Contribution:</i> This article presents a systematic literature review of research concerning cyber security education for children (under 18s) on a global scale. <p xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <i>Background:</i> While the Internet brings great convenience to children, it can potentially cause harms due to lack of knowledge about online risks. <p xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <i>Research Questions</i>: 1. What cyber security skills are taught to children worldwide? 2. What are key strategies/methods for cyber security education? 3. What stakeholders are regarded as responsible for cyber security education of children? <p xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <i>Methodology</i>: Using the PRISMA protocol for literature search, 412 papers published between January 2015 and June 2021 were retrieved and 44 were identified for thematic analysis. <p xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <i>Findings</i>: The content considered for cyber security education varies greatly between nations, being therefore inconsistent and filled with gaps. This article suggests curriculum content framed around six broad categories of cyber security awareness for educators and policy makers to follow, and further recommends that curriculum should be influenced not only by expert advice, but also through a “bottom-up” approach listening to children’s voice to adequately gauge the level of Internet engagement and their activities. This article finds that innovative teaching methods (e.g., gamification) are claimed to provide “hands on” and “real life” experiences that greatly enhance traditional classroom teaching (e.g., mentoring), but existing literature lacks evaluation of comparative effectiveness. Finally, this article finds that the primary provider for cyber security education, from the sample analyzed, is regarded as schoolteachers, supported by parents and by a formal curriculum resourced adequately by governments.

OVERVIEW OF THE CONCEPTS AND APPROACHES FOR BUDGET PLANNING IN ENTERPRISES IN THE BULGARIAN SCIENTIFIC LITERATURE

In the conditions of a rapidly changing and uncertain dynamic environment, increasing competition, and limited resources, the global economic crisis brought planning and control to the fore as the leading functions of management. Modern practice is characterized by a significant variety of tools, approaches and methods in the implementation of planning in enterprises. The purpose of this publication is to review the concepts and tools for budget planning in the enterprise, which are known in the Bulgarian scientific literature, indexed in the scientific database Google Scholar at the end of March 2023. Methodologically, the review used a systematic approach. The review was conducted in three stages: developing a search protocol, conducting the search and reporting the results. The literature sample of review sources covers eleven scientific publications corresponding to the researched topic. The results of the review show that many Bulgarian authors recommend the application of quantitative methods and approaches for enterprise budget planning. As such, the balanced scorecard and tools of fuzzy set theory are indicated. A number of authors emphasize the need for the application of a flexible and dynamic toolkit for budget planning, which enables the assessment and successful management of internal and external risk. For crisis conditions, the authors most often recommend scenario planning and heuristic models. Some authors highlight the kaizen concept and controlling as attractive and successful planning concepts. Other authors point to expert systems based on artificial intelligence as a particularly valuable tool for planning. In the "discussion" part of the present study, some recommendations for future research are given. In the opinion of the author, this development has the character of a landmark for the state of the Bulgarian scientific literature about the concepts and tools for budget planning in the enterprise. Despite the theoretical nature of the study, it can be used by both researchers and management practice.

Big data analytics and e-governance: Actors, opportunities, tensions, and applications

We present a systematic review of peer-reviewed articles, empirical as well as conceptual, investigating the integration of big data analytics in e-governance within business management, decision sciences, social sciences, and policy literature. Our primary objective in undertaking this review is to better understand the competing and conflicting scholarly perspectives on the integration of big data analytics in the delivery of governance, public services, and evidence-based policymaking. We focus particularly on a critical assessment of the literature to identify visible as well as less perceptible gaps in extant research to set a comprehensive future research agenda. In addition, we also aim to dig deeper into the landscape of the available research in terms of the volume of scientific production and other bibliometric characteristics to gauge the extent and nature of scholarly engagement with the area to inform future research. To these ends, we executed our systematic review through a four-step process of scoping, specification and execution of search protocols, short-listing of congruent literature, and quantitative and qualitative data analysis. In all, we identified 45 articles that attended to big data analytics and e-governance as the core concerns or themes. Our analysis generated four pillars on which the academic contributions in the area rest: actors, opportunities, tensions, and applications. We critically synthesized the findings around these four pillars to map the gaps and develop potential research questions that future researchers can address to expand the evidence and insights in the area to influence policy and governance.

Teaching 21st Century Skills: Understanding the Depth and Width of the Challenges to Shape Proactive Teacher Education Programmes

21st-century skills are key words which have been most searched in recent past. Yet, there seems to be amiss on how teachers should be prepared to teach 21st-century skills. Limited research insights imply lack of actionable inputs for design of teacher education programmes. Thus, this study supports the call by reviewing 55 relevant studies, using the systematic literature review (SLR) approach. This study employed a stringent search protocol to confine search to two popular databases—Scopus and Web of Science (WOS). The authors identified two emerging themes and six sub-themes. The three sub-themes under the first theme upskilling and reskilling of in-service teachers in 21st-century skills are: (1). training initiatives, (2). teachers’ experiences in teaching 21st-century skills, and (3). teachers’ perceptions and skill assessment. The other three sub-themes under the second theme professional development of pre-service teachers and 21st-century skills are: (1). pedagogical approaches, (2). technology-based teaching-learning of 21st-century skills, and (3). experience, competence and proficiency in 21st-century skills. Findings suggest the need to focus on targeted interventions, pedagogical tools and resources and peer-based learning, and recommend expanding the list of keywords searched under this study by including specific 21st century skills such as creativity to add a new dimension to their review.

How to Measure Sustainability in the Supply Chain Design: An Integrated Proposal from an Extensive and Systematic Literature Review

The increase in the world population and resource scarcity has led to the introduction of environmental concepts such as sustainability and sustainable supply chain design (SSCD). However, there is a lack of consensus among researchers on how to measure sustainability in SSCD. Therefore, the authors propose a novel approach to measuring sustainability in the context of SSCD by developing an integrated, tractable, and representative metrics framework. The methodology corresponds to a quantitative approach involving bibliographic examination and statistical techniques. First, the authors conducted a systematic literature review by formulating research questions and a search protocol, searched for relevant articles, and conducted a quality assessment on full-text reviews to obtain metrics for measuring sustainability in SSCD from the literature. Then, they defined aggregation criteria representing their inclusion relationship by merging associated metrics. The authors then used Cluster Analysis (CA), a multivariate statistical technique, for grouping the metrics. Consequently, twelve clusters were distinguished from 541 research articles, grouping 51 metrics from different sustainability dimensions. It shows the strong connection among the sustainability dimensions, i.e., they must be assessed holistically. Then, we proposed reducing the 51 metrics to 5 to evaluate sustainability in the SSCD, allowing us to focus on a reduced number of indicators.

AAJS: An Anti-Malicious Attack Graphic Similarity Judgment System in Cloud Computing Environments

With the rapid development of cloud computing and other modern technologies, collaborative computing between data is increasing, and privacy protection and secure multi-party computation are also attracting more attention. The emergence of cloud computing provides new options for data holders to perform complex computing problems and to store images; however, data privacy issues cannot be ignored. If a graphic is encrypted and stored in the cloud, the cloud server will perform confidential similar matching when the user searches. At present, most research on searchable encryption is focused on text search, with few schemes researched on how to finish the graphic search. To solve this problem, this paper proposes a secure search protocol based on graph shape under the semi-honest model. Using the cut-choose method and zero-knowledge proof, further designs of the anti-malicious attack graphic similarity judgment system (AAJS) based on the Paillier encryption algorithm, can achieve the secure search and matching of the graph while resisting malicious adversary attacks. The proposed protocol’s security is proved by the real/ideal model paradigm. This paper conducts performance analysis and experimental simulation on the existing scheme and the experiments demonstrate that the system achieves high execution efficiency.

Utilising tourist-generated citizen science data in response to environmental challenges: A systematic literature review

There has been a proliferation of studies that have examined the impacts of public participation in Citizen Science (CS) that respond to environmental challenges and the recovery of ecosystems, endangered species or other important natural assets. However, comparatively few studies have explored how tourists may play a critical role in the generation of CS data and thus it has been posited that many potential opportunities remain unrealised. By systematically analysing studies that have utilised tourist-generated data in response to environmental challenges or issues, this paper seeks to establish an appraisal of what has so far been established in extant literature and to identify future possibilities for the inclusion of tourists in CS. Via our literature search, a total of 45 peer-reviewed studies were identified via the PRISMA search protocol. Our findings reveal numerous positive outcomes were reported that highlight the significant, yet largely untapped, potential of tourist integration in CS, with studies also offering a range of recommendations on how tourists could be included more effectively to expand scientific knowledge. Notwithstanding, several limitations were observed, and it is critical that future CS projects that utilise tourists for data collection purposes are acutely aware of the challenges they may encounter.

Right-Wing Extremism in Mainstream Games: A Review of the Literature

Hate speech, harassment, and an increasing prevalence of right-wing extremism in online game spaces are of growing concern in the United States. Understanding trends in how and to what extent extremist groups utilize online gaming spaces is vital in taking action to protect players. To synthesize the current state of extant research and suggest future directions, we conduct a systematic review of the literature on right-wing extremism in videogames. We detail our search protocol, selection criteria, and analysis of the collected work, and then summarize the findings. Important themes include how and why extremists’ targeting of online game communities began, the role of Gamergate in this process, and the industry and market context in which such activities emerged. We describe the current nature of the problem, with extremist language and ideology providing a kind of on-ramp for radicalizing disenfranchised gamers. We conclude with a summary of responses from industry and legislators.

Cultural considerations at end-of-life for people of culturally and linguistically diverse backgrounds: A critical interpretative synthesis.

To establish cultural considerations for people from culturally or linguistically diverse backgrounds at the end-of-life in Australia. Globally, there is a rapidly increasing proportion of the ageing population, and high levels of migration to Australia, the Australian healthcare community must recognise individualised and cultural needs when approaching death and end-of-life care. Many people from culturally and linguistically diverse backgrounds do not traditionally practice the palliative care approaches that have been developed and practised in Australia. A Critical Interpretive Synthesis. A review protocol was established using PRISMA 2020 guidelines and the literature searched using CINAHL, PubMed, Psych INFO and Medline from January 2011 to 27th February 2021. This search protocol results in 19 peer-reviewed results for inclusion in critical analysis. Included studies were qualitative (14), quantitative (4) and mixed methods (1). Four themes were identified from the literature: (i) communication and health literacy; (ii) access to end-of-life care services; (iii) cultural norms, traditions and rituals; and (iv) cultural competence of healthcare workers. Healthcare workers have an essential role in providing care to people with life-limiting illnesses. Cultural considerations during end-of-life care are imperative for the advancement of nursing practice. To achieve effective care for people of culturally and linguistically diverse backgrounds during end-of-life care, healthcare workers need to increase their education and cultural competency. There is inadequate research conducted within specific cultural groups, rural and remote Australian communities and individual cultural competence of healthcare workers. Continuing advancement within nursing practice relies on health professionals adopting a person-centred and culturally appropriate approach to care. To ensure individualised person-centred care is provided in a culturally appropriate way, healthcare workers must learn to reflect on their practice and actively advocate for people with culturally and linguistically diverse backgrounds during end-of-life care.

The Color of Gifted Education Research: A 20-Year Content Analysis of Selected Journals

ABSTRACT This content analysis focuses on content from four major gifted journals (i.e., Gifted Child Quarterly, Journal for the Education of the Gifted, Journal of Advanced Academics, and Roeper Review). After applying a priori search and inclusion protocols, a final sample (N = 202) of articles examining Black and Brown students in gifted education were retained. The trends in gifted education research centered on Black and Brown students can be placed into three broad categories: (a) representation, (b) methodology, and (c) focus on National Association for Gifted Children (NAGC) standards. The researchers provide implications for equitable gifted education praxis, which include filling the gaps in research on Black and Brown gifted students and methodological considerations.

Privacy-preserving and efficient data sharing for blockchain-based intelligent transportation systems

Recent years have witnessed the development and adoption of blockchain technology in intelligent transportation systems (ITS) because of its authenticity and traceability. However, increasing ITS devices impose grand challenges in privacy-preserving and efficient data sharing. Recent research has demonstrated that integrating searchable symmetric encryption in blockchain enables privacy-preserving data sharing among ITS devices. However, existing solutions focus only on single-keyword searches over encrypted ITS data on the blockchain and suffer from privacy and efficiency issues when extended to multi-keyword scenarios. This work proposes a bloom filter-based multi-keyword search protocol for ITS data with enhanced efficiency and privacy preservation. We design a bloom filter to select a low-frequency keyword from the multiple keywords input by the ITS data owner. The low-frequency keyword can filter out a large portion of the ITS data from the search result, thus significantly reducing the computational cost. Furthermore, each identifier-keyword pair is attached with a pseudorandom tag that enables the completion of a search operation in only one round. In this manner, privacy is preserved because there are no intermediate rounds and results. In addition to the multi-keyword search protocol, we specify the addition and deletion protocols to enable dynamic updates of data records. We conducted a comprehensive performance evaluation of the protocols. The experimental results indicate that the proposed multi-keyword search protocol saves 14.67% query time and 59.96% financial cost.

Mixed Reality Platforms in Telehealth Delivery: Scoping Review

Background The distinctive features of the digital reality platforms, namely augmented reality (AR), virtual reality (VR), and mixed reality (MR) have extended to medical education, training, simulation, and patient care. Furthermore, this digital reality technology seamlessly merges with information and communication technology creating an enriched telehealth ecosystem. This review provides a composite overview of the prospects of telehealth delivered using the MR platform in clinical settings. Objective This review identifies various clinical applications of high-fidelity digital display technology, namely AR, VR, and MR, delivered using telehealth capabilities. Next, the review focuses on the technical characteristics, hardware, and software technologies used in the composition of AR, VR, and MR in telehealth. Methods We conducted a scoping review using the methodological framework and reporting design using the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines. Full-length articles in English were obtained from the Embase, PubMed, and Web of Science databases. The search protocol was based on the following keywords and Medical Subject Headings to obtain relevant results: “augmented reality,” “virtual reality,” “mixed-reality,” “telemedicine,” “telehealth,” and “digital health.” A predefined inclusion-exclusion criterion was developed in filtering the obtained results and the final selection of the articles, followed by data extraction and construction of the review. Results We identified 4407 articles, of which 320 were eligible for full-text screening. A total of 134 full-text articles were included in the review. Telerehabilitation, telementoring, teleconsultation, telemonitoring, telepsychiatry, telesurgery, and telediagnosis were the segments of the telehealth division that explored the use of AR, VR, and MR platforms. Telerehabilitation using VR was the most commonly recurring segment in the included studies. AR and MR has been mainly used for telementoring and teleconsultation. The most important technical features of digital reality technology to emerge with telehealth were virtual environment, exergaming, 3D avatars, telepresence, anchoring annotations, and first-person viewpoint. Different arrangements of technology—3D modeling and viewing tools, communication and streaming platforms, file transfer and sharing platforms, sensors, high-fidelity displays, and controllers—formed the basis of most systems. Conclusions This review constitutes a recent overview of the evolving digital AR and VR in various clinical applications using the telehealth setup. This combination of telehealth with AR, VR, and MR allows for remote facilitation of clinical expertise and further development of home-based treatment. This review explores the rapidly growing suite of technologies available to users within the digital health sector and examines the opportunities and challenges they present.

Worker and workplace Artificial Intelligence (AI) coexistence: Emerging themes and research agenda

Workplace Artificial Intelligence (AI) helps organisations increase operational efficiency, enable faster-informed decisions, and innovate products and services. While there is a plethora of information about how AI may provide value to workplaces, research on how workers and AI can coexist in workplaces is evolving. It is critical to explore emerging themes and research agendas to understand the trajectory of scholarly research in this area. This study's overarching research question is how workers will coexist with AI in workplaces. A search protocol was employed to find relevant articles in Scopus, ProQuest, and Web of Science databases based on appropriate and specific keywords and article inclusion and exclusion criteria. We identified four themes: (1) Workers' distrust in workplace AI stems from perceiving it as a job threat, (2) Workplace AI entices worker-AI interactions by offering to augment worker abilities, (3) AI and worker coexistence require workers' technical, human, and conceptual skills, and (4) Workers need ongoing reskilling and upskilling to contribute to a symbiotic relationship with workplace AI. We then developed four propositions with relevant research questions for future research. This review makes four contributions: (1) it argues that an existential argument better explains workers' distrust in AI, (2) it gathers the required skills for worker and AI coexistence and groups them into technical, human, and conceptual skills, (3) it suggests that technical skills benefit coexistence but cannot outweigh human and conceptual skills, and (4) it offers 20 evidence-informed research questions to guide future scholarly inquiries.

Usage of Water Marking-Based Techniques for Performing Necessary Operations on a Plaintext Image in the Cloud

To provide the image with security multiple encryption techniques are used. This way the image is converted to a form in which it is not read by a third party unless they have the watermark which is known to only the user. Some cryptographic protocols have been constructed, the emergence of quantum computers and quantum algorithms presents a problematic scenario for those protocols. Data-driven and Feedback-Enhanced Trust (DFET) is developed due to the multi cloud environment created by the multiple data centers. A method for quantum picture watermarking is provided to blend a grayscale quantum watermark into a quantum carrier image.Multiple image search protocols are used in which the image is searched based on their specialities. for example, Content-Based Image Retrieval (CBIR), Convolutional Neural Network (CNN). scale-invariant feature transform (SIFT) approach for encrypted images that protects privacy. PRISMA checklist in addition to a few components of the Cochrane Quality Assessment. social media and gaming applications have been widely adopted by the general public and the number of social media and gaming applications has increased, with the help of white hacking it has established a security technique, stealth robot conceals itself from the intended target/victim by using stealth tactics. Making it easier for protection.

Stress-inducing or performance-enhancing? Safety measure or cause of mistrust? The paradox of digital surveillance in the workplace

The advent of digital technology has inevitably changed the modern workplace. While digital transformation has been beneficial for companies in terms of added productivity and efficiency—it has simultaneously unveiled several grey areas that are worth investigating, such as the topics of digital surveillance and its implications for technostress, performance and trust. While academic research has kept pace with rising industry interest, especially in the wake of the COVID-19 pandemic, the literature on digital surveillance has only recently gained traction compared to the rest of the digital transformation literature. In an effort to synthesize extant academic production on digital surveillance and provide guidance for future research directions on the topic, the present study utilizes a critical systematic literature review (SLR) to analyze literature published on the topic of digital surveillance. Making use of a clearly defined search protocol, we examined the content of 57 distinct studies. Subsequently, three main thematic areas of research are identified through the use of content analysis: the implications of digital surveillance on technostress, the correlation between digital surveillance and performance, and the ways in which digital surveillance can affect trust and acceptance. Additionally, several gaps are identified in the extant literature, and subsequent paths for further research are proposed. The study offers both theoretical and practical implications. From a theoretical perspective, the present SLR contributes to the literature stream of digital surveillance by critically reviewing and synthesizing extant scientific production and compiling a research agenda for future studies. From a practical perspective, this study provides valuable insights to support current efforts by practitioners seeking to effectively implement digital surveillance in the workplace.

Searching and Navigating UniProt Databases.

The Universal Protein Resource (UniProt) is a comprehensive resource for protein sequence and annotation data. The UniProt website receives about 800,000 unique visitors per month and is the primary means to access UniProt. It provides 10 searchable datasets and four main tools. The key UniProt datasets are the UniProt Knowledgebase (UniProtKB), the UniProt Reference Clusters (UniRef), the UniProt Archive (UniParc), and protein sets for completely sequenced genomes (Proteomes). Other supporting datasets include information about proteins that is present in UniProtKB protein entries, such as literature citations, taxonomy, and subcellular locations, among others. This article focuses on how to use UniProt datasets. The first basic protocol describes navigation and searching mechanisms for the UniProt datasets, and two additional protocols build on the first protocol to describe advanced search and query building. © 2023 The Authors. Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Searching UniProt datasets Basic Protocol 2: Advanced search and query building Basis Protocol 3: Adding parameters using advanced search.