Search Box Research Articles

A multi-centric, single-blinded, randomized, parallel-group study to evaluate the effectiveness of nasoalveolar moulding treatment in non-syndromic patients with complete unilateral cleft lip, alveolus and palate (NAMUC study): a study protocol for a randomized controlled trial

BackgroundCleft lip and palate (CLP) are among the most common congenital anomaly that affects up to 33,000 newborns in India every year. Nasoalveolar moulding (NAM) is a non-surgical treatment performed between 0 and 6 months of age to reduce the cleft and improve nasal aesthetics prior to lip surgery. The NAM treatment has been a controversial treatment option with 51% of the cleft teams in Europe, 37% of teams in the USA and 25 of cleft teams in India adopting this methodology. This treatment adds to the already existing high burden of care for these patients. Furthermore, the supporting evidence for this technique is limited with no high-quality long-term clinical trials available on the effectiveness of this treatment.MethodThe NAMUC study is an investigator-initiated, multi-centre, single-blinded randomized controlled trial with a parallel group design. The study will compare the effectiveness of NAM treatment provided prior to lip surgery against the no-treatment control group in 274 patients with non-syndromic unilateral complete cleft lip and palate. The primary endpoint of the trial is the nasolabial aesthetics measured using the Asher McDade index at 5 years of age. The secondary outcomes include dentofacial development, speech, hearing, cost-effectiveness, quality of life, patient perception, feeding and intangible benefits. Randomization will be carried out via central online system and stratified based on cleft width, birth weight and clinical trial site.DiscussionWe expect the results from this study on the effectiveness of treatment with NAM appliance in the long term along with the cost-effectiveness evaluation can eliminate the dilemma and differences in clinical care across the globe.Trial registrationClinicalTrials.gov CTRI/2022/11/047426 (Clinical Trials Registry India). Registered on 18 November 2022. The first patient was recruited on 11 December 2022. CTR India does not pick up on Google search with just the trial number. The following steps have to be carried out to pick up.How to search: (https://ctri.nic.in/Clinicaltrials/advsearch.php—use the search boxes by entering the following details: Interventional trial > November 2022 > NAMUC).

A Literature Review of China’s Smart Elderly Care Industry

With the aging population in China, the issue of elderly care has gradually become a topic of concern in today’s society. Traditional elderly care models can no longer meet the needs of contemporary elderly people. Therefore, smart elderly care, as a new type of elderly care model formed by the development of information technology, can provide efficient, convenient, and personalized services for the elderly, with broad market prospects and development space. Therefore, the smart elderly care industry is also receiving increasing attention from researchers, and the number of related papers is also increasing year by year. This article uses China National Knowledge Infrastructure (CNKI) as the database source and conducts a search under the theme of “smart elderly care industry” in the search box. A visual analysis is conducted on 525 articles found from 2013 to 2024. It is found that research on the smart elderly care industry in China began in 2013, and the annual circulation of related papers has been on the rise since 2019. This paper reviews the literature on three research directions including problems and strategies of the smart elderly care industry, the elderly care industry under Internet plus and artificial intelligence, and related policies of the smart elderly care industry. Through analysis, it finds that some researchers are committed to studying some problems of the smart elderly care industry, and put forward some suggestions, such as establishing a unified smart elderly care service standard and finding an appropriate industrial integration path based on the needs of the elderly. Some researchers believe that the Internet and artificial intelligence will bring opportunities to the elderly care industry, help to accurately position the market, and meet the needs of the elderly. Some policy researchers have also found that the Chinese government is increasingly valuing the smart elderly care industry. Hence, by summarizing and evaluating the current situation, development, and related policies of the smart elderly care industry, this study hopes to provide some ideas and directions for researchers in the research of the smart elderly care industry.

ICEED: Integrated customized extraction of enzyme data.

Enzymes catalyze diverse biochemical reactions and are building blocks of cellular and metabolic pathways. Data and metadata of enzymes are distributed across databases and are archived in various formats. The enzyme databases provide utilities for efficient searches and downloading enzyme records in batch mode but do not support organism-specific extraction of subsets of data. Users are required to write scripts for parsing entries for customized data extraction prior to downstream analysis. Integrated Customized Extraction of Enzyme Data (iCEED) has been developed to provide organism-specific customized data extraction utilities for seven commonly used enzyme databases and brings these resources under an integrated portal. iCEED provides dropdown menus and search boxes using typehead utility for submission of queries as well as enzyme class-based browsing utility. A utility to facilitate mapping and visualization of functionally important features on the three-dimensional (3D) structures of enzymes is integrated. The customized data extraction utilities provided in iCEED are expected to be useful for biochemists, biotechnologists, computational biologists, and life science researchers to build curated datasets of their choice through an easy to navigate web-based interface. The integrated feature visualization system is useful for a fine-grained understanding of the enzyme structure-function relationship. Desired subsets of data, extracted and curated using iCEED can be subsequently used for downstream processing, analyses, and knowledge discovery. iCEED can also be used for training and teaching purposes.

SAM-Induced Pseudo Fully Supervised Learning for Weakly Supervised Object Detection in Remote Sensing Images

Weakly supervised object detection (WSOD) in remote sensing images (RSIs) aims to detect high-value targets by solely utilizing image-level category labels; however, two problems have not been well addressed by existing methods. Firstly, the seed instances (SIs) are mined solely relying on the category score (CS) of each proposal, which is inclined to concentrate on the most salient parts of the object; furthermore, they are unreliable because the robustness of the CS is not sufficient due to the fact that the inter-category similarity and intra-category diversity are more serious in RSIs. Secondly, the localization accuracy is limited by the proposals generated by the selective search or edge box algorithm. To address the first problem, a segment anything model (SAM)-induced seed instance-mining (SSIM) module is proposed, which mines the SIs according to the object quality score, which indicates the comprehensive characteristic of the category and the completeness of the object. To handle the second problem, a SAM-based pseudo-ground truth-mining (SPGTM) module is proposed to mine the pseudo-ground truth (PGT) instances, for which the localization is more accurate than traditional proposals by fully making use of the advantages of SAM, and the object-detection heads are trained by the PGT instances in a fully supervised manner. The ablation studies show the effectiveness of the SSIM and SPGTM modules. Comprehensive comparisons with 15 WSOD methods demonstrate the superiority of our method on two RSI datasets.

Comprehensive Review of R-CNN and its Variant Architectures

This research paper delves into the intricacies of Region-based Convolutional Neural Networks (R- CNN) and its variants, providing a meticulous comparative analysis. The study encompasses the evolution, functionality, and impact of these models in the realm of object detection within computer vision [3]. The objectives of this paper are to elucidate the significance of R-CNN and its variants, present an overview of object detection challenges, and underscore the crucial role these models play in addressing these challenges. The methodologies employed in this research involve an in-depth examination of the architectural components, such as Selective Search, feature extraction, object classification, and bounding box regression that constitute the R-CNN approach. By reviewing the historical context and subsequent developments, including Fast R-CNN, Faster R-CNN, and Mask R-CNN, the paper aims to shed light on the continuous evolution of these models. The findings of this study aim to contribute to the broader understanding of the advancements in object detection through deep learning, with potential applications in diverse fields, including autonomous driving and face recognition.

Developing systems to encourage FAIR and secure research data

Welcome to first issue of IASSIST Quarterly for 2024; this is Volume 48 of the journal (IQ 48(1) 2024). The three papers in this issue represent different aspects of researchers’ use of data archives. Experts from three major data archives (ICPSR, IPUMS, and GESIS) share their experiences developing systems to make research resources in their archives more findable, accessible, and usable. Lafia, Million, and Hemphill in their article “Exploratory and directed search strategies at a social science data archive” investigate search strategies of users of a large social science data archive. In an effort to understand how users search for curated research data, the authors analyze data queries issued through the Inter-University Consortium for Political and Social Research (ICPSR) website’s search box. The study is meant to inform archives and repositories of their users’ experience and help develop systems that encourage dataset findability, accessibility and reuse. The authors identify two types of data searches, exploratory and directed searches. They find that while users that issued exploratory queries were able to navigate the ICPSR website successfully and refine their searches, they may benefit from more explicit support for query reformation. The authors suggest ways development of tools and training could improve users’ experience. In the article “Stewarding our resources: Building a sustainable IPUMS archival document access system” Daina Magnuson describes IPUMS experience building a web interface to support exploration and dissemination of archival materials associated with IPUMS International (IPUMS-I). Ancillary materials, including thousands of unique pieces of census and survey documentation were obtained by IPUMS-I during data acquisition efforts. This rich source material was curated and preserved by archival staff. Magnuson describes in details the development of a system that would make these resources findable, searchable and downloadable to internal users as well as IPUMS researchers. Strategies describe may inform other data archives considering developing similar tools. Deborah Wiltshire in her article “Developing canonical ‘Safe Researcher’ training materials for Trusted Research Environment” describes the development of training materials for researchers applying to access restricted data through Trusted Research Environment (TRE). The increased use of a virtual desktop environment, as opposed to physical safe rooms, offers researchers easier and more flexible access to restricted data; however, it offers fewer physical safeguards. Attending a mandatory ‘Safe Researcher’ training is one of the principles of the Five Safe Framework[i] developed by the UK’s Office for National Statistics to bridge this gap and assure the safe use of sensitive data. The process described in the article could be easily adapted by other TREs according to their needs and settings (e.g., in-person vs. online training). In the spirit of making information findable, accessible and reusable, we’re happy to share that the Open Journal System platform from the University of Alberta has enabled author linking to ORCID. This means that IQ authors are now able to connect their ORCID iDs to their IQ publications, so that their ORCID profiles will automatically update with those citations as their articles are published. For existing IQ account holders, log into your account at the upper right of the IQ page, and go to Profile > Public. Then click “Create or Connect your ORCID iD” (just below the Homepage URL field). For details, see this video walkthrough of profile authentication. New IQ users will automatically be prompted to link (or create) their ORCID iDs during IQ account creation. Authors are also encouraged to note their ORCID iD link with their affiliation and contact information in an endnote when submitting a manuscript for publication. We hope to see many of you at the 49th Annual IASSIST Conference in Halifax, Nova Scotia, Canada, May 28-31, 2024! Ofira Schwartz and Michele Hayslett, March 2024

Search Box System to Improve User Interaction in Knowledge Graph Searches: A Solution for Users Without Expert Skills

Search Box System to Improve User Interaction in Knowledge Graph Searches: A Solution for Users Without Expert Skills

Bibliometric Evaluation of the 100 Top-Cited Articles on Anesthesiology.

This review is a bibliometric analysis based on anesthesiology, which is a medical specialty that deals with a patient's complete preoperative, intraoperative, and postoperative care. The objective of the review attempts to analyze the bibliometric characteristics of the 100 most top-cited articles on anesthesiology. The meta-data of the study were collected from the Core Collection of Web of Science database. A title search option was employed, and "Anesthesia" and "Anesthesiology" were typed in two different search boxes separated with the Boolean operator ''OR''. Further, the data were sorted by highest citation order; later, "article" was selected from the filter of document type, and all other types of documents were excluded. Finally, downloaded the bibliographic details of the 100 top-cited articles. VOSviewer Software (version 1.6.10 by van Eck and Waltman) was used for bibliometric network analysis for co-authors and keywords. Pearson chi-square test was used for statistical analysis. The 100 top-cited articles were published between the years of 1971 and 2018. These articles gained a maximum of 1006 to a minimum of 276 citations with an average of 384.57 cites/article. Open accessed articles gained a slightly higher ratio of citations, while more than half of the articles were published in the two leading journals of "Anesthesiology" and "Anesthesia and Analgesia". There was no statistically significant difference in both citation analysis among open and closed access journalsand Anesthesia vs Non-Anesthesia journals. Thirty-six articles were published in journals not specifically related to Anesthesia. Most of the top-cited articles were contributed by the United States, whereas Surgery and General Anesthesia were the two most occurred keywords. We conclude that all the top-cited articles in anesthesiology were contributed by authors who belonged to the developed nations and the United States outclassed the rest of the world. This bibliometric analysis would be valuable to practitioners, academics, researchers, and students to understand the dynamics of progress in the field of anesthesiology.

User Experience Research Techniques Facilitate Improvements for Access and Discovery Tools Managed by Technical Services Librarians

A Review of: Hill, K. (2020). Usability beyond the home page: Bringing usability into the technical services workflow. The Serials Librarian, 78 (1–4), 173–180. https://doi.org/10.1080/0361526X.2020.1702857 Objective – To demonstrate how user experience research techniques can be incorporated into technical services work. As proof of this concept, the author describes a case wherein a team of librarians, including one in a technical services role, deployed a user experience study to determine if students were able to successfully use LibGuides and the A-Z Database List to find subject-specific resources. The study also aimed to gauge the potential for several A-Z Database List interface redesign options. Design – A case study of user experience techniques applied to technical services projects, including a classic usability test of existing tools and an A/B/C comparison of potential interface redesigns. Setting – The library at the University of North Carolina Greensboro (UNCG), a public R2 university (doctoral university with high research activity). Subjects – Eleven student participants recruited through convenience sampling. Methods – The research team recruited study participants who were in the library at the time of the study, deselecting students from UNCG’s library school and those who were not currently affiliated with the university through an initial questionnaire. Eleven student participants were ultimately selected and led through a series of tasks related to finding subject-specific databases using the A-Z Database List and LibGuides. After the tasks for the A-Z Database List were completed, students were asked for their impression of two additional database list interfaces. Students were recorded throughout the tasks using the “talk aloud” method to provide researchers with insights on their thought processes and preferences. Following the study, researchers listened to the recordings, coding them as successful or incomplete and noting their observations for use in generalized findings. Main Results – Eight of eleven participants used the library’s main search box to locate a general resource for their major on the library’s homepage. When shown the A-Z Database List, ten out of eleven participants used the list to find a database for their major, while one used the link to “Research guides by subject” from that page. Comparisons of three A-Z Database List interfaces showed that most students preferred the Springshare Content Management System that allowed for filtering by subject area. When asked to find a research guide for their subject or major from the library’s homepage, nine out of eleven students clicked on the link labeled “Research guides by subject.” Starting from their subject guide, ten out of eleven could find a tab listing article databases. Nine participants noted that the number of databases listed on the guides was daunting. Conclusion – Results from the user experience study were used to support a redesign of the A-Z Database List using the Springshare Content Management System. The author regarded the experience as a whole as demonstrating how technical services librarians can become involved in user experience work and incorporate findings from usability studies into their management and design of tools that promote access and discoverability.

Developing a Linked Open Data Platform for Folktales in the Greater Mekong Subregion

This research paper presents the development of a linked open data (LOD) platform that aims to organize and facilitate access to valuable knowledge about folktales and ethnic groups in the Greater Mekong Subregion countries. The study’s methodology involved the creation of a linked open data platform, structuring folktales’ knowledge, and evaluating its performance through expert assessment. The LOD platform was constructed through Google OpenRefine to establish connections with external data sources, and the RDF files (N-Triples) were deployed on Fuseki Server (Apache Jena) to serve as the SPARQL endpoint for querying the linked open data. The Pubby web app was chosen for further development to provide a user-friendly interface, which customized with the Bootstrap framework, featuring an intuitive homepage and a search box function for simplified data retrieval. For the expert evaluation, the study confirmed that the platform performs a high suitability in terms of congruence, reliability, integrity, understandability, collaboration, accessibility, and connectedness. The developed LOD platform exhibits significant potential for expanding its application to various content domains, offering a valuable resource for accessing and exploring the rich cultural heritage of folktales in the Greater Mekong Subregion countries. Doi: 10.28991/ESJ-2023-07-06-06 Full Text: PDF

Trapped in the search box: An examination of algorithmic bias in search engine autocomplete predictions

This paper examines the autocomplete algorithmic bias of leading search engines against three sensitive attributes: gender, race, and sexual orientation. By simulating search query prefixes and calling search engine APIs, 106,896 autocomplete predictions were collected, and their semantic toxicity scores as measures of negative algorithmic bias were computed based on machine learning models. Results indicate that search engine autocomplete algorithmic bias is overall consistent with long-standing societal discrimination. Historically disadvantaged groups such as the female, the Black, and the homosexual suffer higher levels of negative algorithmic bias. Moreover, the degree of algorithmic bias varies across topic categories. Implications about the search engine mediatization, mechanisms and consequences of autocomplete algorithmic bias are discussed.

Effect of preprocessing and simulation parameters on the performance of molecular docking studies.

Molecular docking is an important and rapid tool that provides a comprehensive view of different molecular mechanisms. It is often used to verify the binding interactions of many pairs of molecules and is much faster than more rigorous approaches. However, its application requires carefully preprocessing each molecule and selecting a series of simulation parameters, which is not always done correctly. We show how preprocessing and simulation parameters can positively or negatively impact molecular docking performance. For example, the inclusion of hydrogen atoms leads to better redocking scores, but molecular dynamics simulations must be performed under certain constraints; otherwise, it may worsen performance rather than improve it. This study clarifies the importance and influence of these different parameters in the simulation results. We analyzed the influence of different parameters on the predictive ability of molecular docking techniques using two software packages: AutoDock Vina and AutoDock-GPU. Thus, 90 receptor-ligand complexes were redocked, evaluating the root mean square deviation (RMSD) between the original position of the ligand (receptor-ligand complex obtained experimentally) and that obtained by the software for every analysis. We investigated the influence of hydrogen atoms (on the receptor and on the receptor-ligand complex), partial charges (QEq, QTPIE, EEM, EEM2015ha, MMFF94, Gasteiger-Marsili, and no charge), search boxes (size and exhaustiveness), ligand characteristics (size and number of torsions), and the use of molecular dynamics (of the receptor or the receptor-ligand complex) before docking analyses.

P75 Are ‘hypoallergenic’ personal care products truly safe?

Abstract It is estimated that one-fifth of the general population may have allergic contact dermatitis (ACD) to common environmental allergens. Skincare companies are increasingly advertising their products as ‘hypoallergenic’, targeting consumers who seek personal care products (PCPs) that are less likely to cause an allergic reaction. However, there are no Food and Drug Administration standards to regulate the use of the term hypoallergenic, allowing manufacturers to use the term freely. We evaluated PCPs marketed as hypoallergenic from two health and beauty retailers in the UK for the presence of allergens in the British Society of Cutaneous Allergy (BSCA) baseline series. Product and ingredient lists were obtained from www.boots.com and www.superdrug.com in November 2022 using the term hypoallergenic in the search box. PCPs without the term hypoallergenic in the product description, unrelated products (plasters, jewellery, sanitary towels, tampons, clothing, facial brushes) and duplicates (same products in different sizes) were excluded. In total, 208 PCPs met the inclusion criteria: 47 (22.6%) were rinse-off and 161 (77.4%) were leave-on products. At least one substance from the BSCA baseline series was an ingredient in 79 (38.0%) PCPs. Of these, 54 (26.0%) had 1 potential allergen, 21 (10.2%) had 2, and 4 (1.9%) had 3 potential allergens from the series. The frequently encountered allergens were cetearyl alcohol and paraben mix, found in 42 (20.4%) and 37 (18.0%) of products, respectively. Other BSCA baseline series allergens identified in PCPs included 2-bromo-2-nitropropane-1,3-diol, lanolin, decyl glucoside, diazolidinyl urea, methylisothiazolinone, limonene and linalool. In addition, PCPs had chemicals that were related to and may cross-react with allergens in the BSCA baseline series. Parfum/fragrance, which can cross-react with fragrance mix I and II, was found in 85 (41.3%) PCPs. Sodium benzoate and/or benzoic acid, often used as preservatives in PCPs, were found in 66 (32.0%) products. Forty (19.4%) PCPs had ingredients that belong to the Asteraceae family and therefore may trigger an ACD in those with positive reaction to Compositae and/or sesquiterpene lactone mix. Twenty-three (11.2%) PCPs contained cetyl alcohol and/or stearyl alcohol, the two major components of cetearyl alcohol. Overall, 153 (74.3%) of 206 PCPs marketed as hypoallergenic contained BSCA baseline series allergens or ingredients that may cross-react with them. This highlights the need to increase public awareness and education about the potential dangers of purchasing ‘hypoallergenic’ PCPs.

CD10 (P75) Are ‘hypoallergenic’ personal care products truly safe?

Abstract It is estimated that one-fifth of the general population may have allergic contact dermatitis (ACD) to common environmental allergens. Skincare companies are increasingly advertising their products as ‘hypoallergenic’, targeting consumers who seek personal care products (PCPs) that are less likely to cause an allergic reaction. However, there are no Food and Drug Administration standards to regulate the use of the term hypoallergenic, allowing manufacturers to use the term freely. We evaluated PCPs marketed as hypoallergenic from two health and beauty retailers in the UK for the presence of allergens in the British Society of Cutaneous Allergy (BSCA) baseline series. Product and ingredient lists were obtained from www.boots.com and www.superdrug.com in November 2022 using the term hypoallergenic in the search box. PCPs without the term hypoallergenic in the product description, unrelated products (plasters, jewellery, sanitary towels, tampons, clothing and facial brushes) and duplicates (same products in different sizes) were excluded. In total, 208 PCPs met the inclusion criteria: 47 (22.6%) were rinse-off and 161 (77.4%) were leave-on products. At least one substance from the BSCA baseline series was an ingredient in 79 (38.0%) PCPs. Of these, 54 (26.0%) had one potential allergen, 21 (10.2%) had two, and four (1.9%) had three potential allergens from the series. The frequently encountered allergens were cetearyl alcohol and paraben mix, found in 42 (20.4%) and 37 (18.0%) of products, respectively. Other BSCA baseline series allergens identified in PCPs included 2-bromo-2-nitropropane-1,3-diol, lanolin, decyl glucoside, diazolidinyl urea, methylisothiazolinone, limonene and linalool. In addition, PCPs had chemicals that were related to and may cross-react with allergens in the BSCA baseline series. Parfum/fragrance, which can crossreact with fragrance mix I and II, was found in 85 (41.3%) PCPs. Sodium benzoate and/or benzoic acid, often used as preservatives in PCPs, were found in 66 (32.0%) products. Forty (19.4%) PCPs had ingredients that belong to the Asteraceae family and therefore may trigger an ACD in those with positive reaction to Compositae and/or sesquiterpene lactone mix. Twenty-three (11.2%) PCPs contained cetyl alcohol and/or stearyl alcohol, the two major components of cetearyl alcohol. Overall, 153 (74.3%) of 206 PCPs marketed as hypoallergenic contained BSCA baseline series allergens or ingredients that may cross-react with them. This highlights the need to increase public awareness and education about the potential dangers of purchasing ‘hypoallergenic’ PCPs.

Implementation of Rabin Karp Algorithm in E-Commerce Search Box Feature (Case Study: Sinar Baja Store)

Inside any e-commerce platform, search features are a key factor in an online business. In order to look for the desired item name, users need to type a pattern into the search feature. Inside the typing process users may make some mistypes. Based on the problem, the writer tried to create a search box as the search feature inside an e-commerce system with a capability to look for item names, even if there are some accidental mistypes inside the user's typing process. The main purpose is to reduce the possibility of empty results after a searching process due to the user’s accidental mistypes. This research utilizes Rabin Karp Algorithm in order to look for the item names. Result of this research is that the Rabin Karp Algorithm can be implemented in a website-based e-commerce, but this method is slower than SQL as a method to search item names inside the same system. It happens because Rabin Karp requires a longer process than SQL to get the similarity percentage from each comparison. This research shows that k-gram value inside the algorithm affects the overall results with a condition where greater the value.

A NOVEL SPECIALIZED SEARCH ENGINE FOR AI-MODELS AND THEIR COMPARISON

In recent years, the world of AI has tremendously increased in size and depth. Both new and old researchers are facing the problem of fast emerging AI researches, models and services. One needs to continuously read complete papers to understand the idea behind any novel research. This work presents a novel AI service that removes the burdens of long text reading and uncategorized search. It consists of a website that categorizes all the AI researches in a well-designed database. The users just have to select the models they are interested in, and the website will return a table containing the technical data in addition to a graph that shows visual relationships between the AI models, features and datasets. Future work will emphasize on developing the tool by applying NLP in two directions: one on the search box to retrieve the main keyword to search for, and the other on research papers to automatically extract the data into the website categorized database.

Comparison of Tertiary Drug Information Resources With the CDC Guideline for Oxycodone Dosing: Are Patients at Risk?

Background: Inappropriate prescribing of opioids is thought to play a central role in the ongoing opioid health crisis. Tertiary information resources are commonly used by clinicians for obtaining opioid dosing information. To assist health care providers in pain management, the Centers for Disease Control and Prevention (CDC) developed a guideline for prescribing opioids. Objective: To identify discrepancies for dosing information on oxycodone between commonly used tertiary drug information resources and the CDC Guideline. Methods: Searches of the tertiary drug information resources were conducted in the following order: Facts and Comparisons, Lexicomp, Medscape, and Micromedex. The term "oxycodone" was entered in the search box in the tertiary resources' applications. Drug information items retrieved were organized in tabular format. In the Google Chrome version 106.0.5249.119 search box, the term "CDC guideline for opioid dosing" was entered to retrieve current information on the CDC Guideline. Results: Searches produced drug information on oxycodone for available formulations, dosing regimens, recommended dosing, and maximum daily dose (MDD). Searches revealed discrepancies in dosing recommendations for oxycodone among tertiary drug resources and between tertiary drug resources and the CDC Guideline. Conclusions: When considering maximum daily dosing information for oxycodone from the selected tertiary drug information resources, the potential exists for patients to be at risk of addiction, overdose, and perhaps death. Improving the way opioids are prescribed through the CDC Clinical Practice Guideline can ensure patients have access to safer, more effective chronic pain treatment while reducing the number of people who misuse or overdose from inappropriate dosing information.

UniProt Tools: BLAST, Align, Peptide Search, and ID Mapping.

The Universal Protein Resource (UniProt) is a comprehensive resource for protein sequence and annotation data (UniProt Consortium, 2023). The UniProt website receives about 800,000 unique visitors per month and is the primary means to access UniProt. Along with various datasets that you can search, UniProt provides four main tools. These are the "BLAST" tool for sequence similarity searching, the "Align" tool for multiple sequence alignment, the "Peptide Search" tool for retrieving proteins containing a short peptide sequence, and the "Retrieve/ID Mapping" tool for using a list of identifiers to retrieve UniProt Knowledgebase (UniProtKB) proteins and to convert database identifiers from UniProt to external databases or vice versa. This article provides four basic protocols and seven alternate protocols for using UniProt tools. © 2023 The Authors. Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Basic local alignment search tool (BLAST) in UniProt Alternate Protocol 1: BLAST through UniProt text search results pages Alternate Protocol 2: BLAST through UniProt basket Basic Protocol 2: Multiple sequence alignment in UniProt Alternate Protocol 3: Align tool through UniProt results pages and entry pages Alternate Protocol 4: Align tool through UniProt basket Basic Protocol 3: Peptide search in UniProt Basic Protocol 4: Batch retrieval and ID mapping in UniProt Alternate Protocol 5: Retrieve/ID Mapping tool through UniProt text search results pages and BLAST and Align results pages Alternate Protocol 6: Retrieve/ID Mapping tool through UniProt basket Alternate Protocol 7: Retrieve/ID Mapping tool through UniProt search box.

Mediators of arrested development as attractive malaria vector control tools: The Azadirachta indica and azadirachtin routes

Insecticides are utilized as key components in agriculture and public health tool-kits. Mosquitoes are targeted using out/indoor insecticide sprays and treated bed nets to reduce malaria. These practices are associated with increasing resistance in various species of mosquitoes, multiple insecticide use, environmental pollution, high cost and spread of malaria into regions where they did not exist before. This paper explores the possibility of developing a safer route to mosquito control through the use of plant secondary metabolites. Peer-reviewed literature on safe substances from biological sources with attractive potentials to mediate arrested development on water-based stages of mosquitoes were appraised. Google Scholar search engine was used to locate published works from reputable journals and institutions by feeding its dialogue search box with relevant key words. Insecticide use is bedeviled with lots of impediments which embolden malaria vectors to acquire resistance, destabilize the ecosystem besides causing public health problems. Plants such as Citrullus colocynthi, Azadirachta indica, etc. contain secondary metabolites that are effective in arresting eggs, larva and pupa in water. Azadirachta indica extract is reputed to have the highest activity against insect vectors. Its most active ingredient against vectors is azadirachtin. Its use in mosquito control will be sustainable as it is well endowed with both reduced cost, accessibility and effectiveness in small water bodies around human surroundings. Small- and large-scale production of azadirachtin can be done through plant tissue culture which is boosted with new editing tools in genetic engineering. Use of A. Indica’s azadirachtin is a safe malaria vector control that can be accomplished through imposition of arrested development on immature mosquitoes. Its role in deceiving egg laden mosquitoes deserve further investigations while funding agencies such as World Health Organization (WHO) and governments of Sub Sahara Africa should take advantage of this harmless route to eliminate malaria.

Line-Features-Based Pose Estimation Method for the Disc Cutter Holder of Shield Machine.

To achieve automatic disc cutter replacement of shield machines, measuring the accurate pose of the disc cutter holder by machine vision is crucial. However, under polluted and restricted illumination conditions, achieving pose estimation by vision is a great challenge. This paper proposes a line-features-based pose estimation method for the disc cutter holder of the shield machine by using a monocular camera. For the blurring effect of rounded corners on the image edge, a rounded edge model is established to obtain edge points that better match the 3D model of the workpiece. To obtain the edge search box corresponding to each edge, a contour separation method based on an adaptive threshold region growing method is proposed. By preprocesses on the edge points of each edge, the efficiency and the accuracy of RANSAC linear fitting are improved. The experimental result shows that the proposed pose estimation method is highly reliable and can meet the measurement accuracy requirements in practical engineering applications.