Digital Library Research Articles

New QSTR models to evaluation of imidazolium- and pyridinium-contained ionic liquids toxicity

We present machine learning studies devoted to the creation of predictive models for toxicity evaluation of imidazolium- and pyridinium-containing ionic liquids. New created predictive models were developed using the OCHEM. The predictive ability of the models was tested by cross-validation, giving a coefficient of determination q2 = 0.77–0.82. The models were applied to screen a virtual chemical library to the toxicity of ILs in Danio rerio and Daphnia magna bioassays. Models were used to predict toxicity for 25 ILs, which were then synthesized and tested in vivo. The in vivo toxicity studies found that D. magna is a more sensitive aquatic test organism than D. rerio – 67 % of the studied ILs are classified as extremely toxic with an LC50 range from 0.005 to 0.01 mg/l. At the same time, only one IL 1-dodecylpyridinium bromide with an LC50 of 0.08 mg/l is classified as extremely toxic, and 76 % are classified as slightly and moderately toxic compounds using D. rerio as a test organism. The most toxic ILs 5 and 19 were docked into the human AChE active center and demonstrated calculated binding energy values −9.5 and −9.3 kcal/mol that is comparable with the complexation of the human AChE inhibitor Donepezil, which provides insight into the potential molecular mechanisms of ILs toxicity. The created QSTR models are a successful tool for the toxicity analysis of new promising ILs. QSTR models demonstrated not only high predictive indicators but also a high percentage of correctly predicted toxicity values in vivo studies.

Кластеризация научных публикаций по морскому автономному надводному судовождению для выявления кластеров ключевых слов

An approach to structuring scientific publications is proposed using the example of scientific works on marine autonomous surface navigation, which allows for data mining with clustering and visualization of the main keywords and phrases related to the designated topic. The resource of the Russian scientific electronic library was used as a source for obtaining data eLIBRARY.RU. Information has been collected on 534 relevant scientific publications for the period from 2013 to the beginning of 2024, containing the title of the work, the year of publication, the list of authors and their affiliation, keywords and phrases, etc. A database for intellectual analysis has been formed, containing 1304 keywords or phrases indicated by the authors of scientific publications related to the selected topic. Data mining was performed using an open source software package for visualization and analysis of related data Gephi. The processing results are presented in the form of undirected graphs. The undirected graphs obtained are presented, and the characteristics of certain graphs for various kernel parameters are indicated. Clusters of keywords or phrases and connections between them have been identified, demonstrating current trends in the development of the chosen scientific field. With the advent of new scientific publications on marine autonomous surface navigation, the graphs will change, fixing new connections between the authors of scientific publications, key words and phrases. Such an approach to data processing may be useful for students, graduate students and researchers to identify a pool of keywords and phrases that need to be paid attention to when studying this topic.

Biology, ecology, and taxonomy of the parasitoids of the families of Austroniidae, Peradeniidae, Proctorenyxidae, Roproniidae, and Vanhorniidae (Hymenoptera: Proctotrupoidea)

Proctotrupoidae are koinobiont endoparasitoids of holometabolous insect larvae. Although Proctrotrupidae can be common and readily collected by sweep netting or Malaise traps, the superfamily is poorly known biologically. Proctotrupoidae are parasitoids of Coleoptera and, to a lesser extent, Diptera larvae, with one extraordinary host record from a centipede, whereas Heloridae has been reared from Neuroptera larvae. Extralimital families attacking Coleoptera and Neuroptera (Austroniidae, Peradeniidae, Proctorenyxidae) are biologically unknown. This work studies the biology, ecology, and taxonomy of the parasitoids of the Families of Roproniidae, Vanhorniidae, Austroniidae, Proctorenyxidae and Peradeniidae (Hymenoptera: Proctotrupoidea). In terms of the type of research source, we worked with scientific articles published in national and international journals. This modality of production, in addition to being commonly the most valued in the set of bibliographic production, is the most easily accessed. Access to articles was through virtual libraries such as Scielo, the University of São Paulo, Latin American Literature, and the University of Brasilia. This library has a specific section for Hymenoptera, with eight journals and texts of articles available in full. The journals included in this section are the following: Zootaxa, Canadian Journal of Zoology, Proceedings of the Entomological Society of Washington, Memoirs of the American Entomological Institute, Florida Entomologist, Canadian Entomologist, Neotropical Entomology, Cladistics, Journal of Asia-Pacific Entomology, Insect Systematics & Evolution, Journal of Hymenoptera Research. Considering only this section constitutes a limitation of the study since articles belonging to journals that integrate other sections of the aforementioned electronic library could also contribute to the discussion of the production of knowledge about the relationship between hosts and parasitoids. However, in principle, within these articles, there could not necessarily be a discussion focused on biology, ecology, and taxonomy.

Trouble with the curve: the 90–9-1 rule to measure volitional participation inequalities among Royal Canadian Mounted Police cadets during training

ObjectiveThe Royal Canadian Mounted Police (RCMP) Study includes longitudinal multimodal assessments of RCMP cadets from pre-training (i.e., starting the Cadet Training Program [CTP]) to post-deployment and for five years thereafter. The data allow for investigating the multidimensionality of volitional participation in digital health data collection frameworks within serial data collection platforms and the impact of participation inequalities by classifying cadets using the 90–9-1 rule. By classifying cadets as Lurkers, Contributors, and Superusers formally described by the 90–9-1 rule, where 90% of actors do not participate, 9% seldom contribute, and 1% contribute substantially allows for the assessing of relationships between participation inequalities in self-monitoring behaviors as well as whether mental health disorder symptoms at pre-training (i.e., starting the CTP) were associated with subsequent participation.MethodsParticipants were asked to complete a Full Assessment prior to their training at CTP, as well as short daily surveys throughout their training. Participation frequency was described using a process where participants were rank ordered by the number of daily surveys completed and classified into one of three categories. Full assessment surveys completed prior to their training at CTP included screening tools for generalized anxiety disorder (GAD), major depressive disorder (MDD), posttraumatic stress disorder (PTSD), alcohol use disorder (AUD), and panic disorder (PD). The Kruskal-Wallis H test was used to assess differences in participation rates between mental health disorder symptom screening groups for each measure at pre-training, and Spearman’s Rho was used to test for associations amongst self-reported Full Assessment screening tool responses and the number of daily surveys completed during CTP.ResultsThere were 18557 daily survey records collected from 772 participants. The rank-ordering of cadets by the number of daily surveys completed produced three categories in line with the 90–9-1 rule: Superusers who were the top 1% of cadets (n=8) and produced 6.4% of all recordings; Contributors who were the next 9% of cadets (n=68) and produced 49.2% of the recordings; and Lurkers who were the next 90% of cadets (n=695) and produced 44.4% of daily survey recordings. Lurkers had the largest proportion of positive screens for self-reported mental health disorders at pre-training.ConclusionThe creation of highly individualized, population-based mental health injury programs has been limited by an incomplete understanding of the causal relationships between protective factors and mental health. Disproportionate rates of disengagement from persons who screen positive for mental health disorders further compounds the difficulty in understanding the relationships between training programs and mental health. The current results suggest persons with mental health challenges may be less likely to engage in some forms of proactive mental health training. The current results also provide useful information about participation, adherence, and engagement that can be used to inform evidence-based paradigm shifts in health-related data collection in occupational populations.

Editorial to special issue of IJDL: digital library research at the inception of a pandemic

Editorial to special issue of IJDL: digital library research at the inception of a pandemic

Assessment of COVID-19 vaccine effectiveness in a nation with a low vaccination coverage: insights from real-world data and propensity score matched analyses

We conducted a comprehensive evaluation of COVID-19 vaccine effectiveness in reducing mortality rates in a country with a low vaccination coverage. A retrospective cohort study analysed data from 1,048,574 adult (≥ 18) patients spanning from March 2020 to April 2022, using data from the national digital medical record repository. Univariate analysis and logistic regression calculated odds ratios and their significance. Propensity score matching was utilised to strengthen the statistical results. Among the 1,048,574 patients diagnosed with COVID-19, 73% (n = 780,718) were unvaccinated, and 27% (n = 267,856) were reported as fully vaccinated. Unadjusted statistical analyses revealed a significant reduction in mortality rates among the vaccinated cohort (1,608 deaths; 0.6%) compared to the unvaccinated group (40,985 deaths; 5.2%) [OR 0.1090 (95%CI 0.1037 to 0.1146), p < 0.0001]. This outcome was consistent across all subgroups, including patient sex, age group, in-hospital setting, vaccine type, SARS-CoV-2 variant, and high-risk patient groups (i.e. with a solid malignancy, cardiovascular disease, chronic pulmonary disease or diabetes mellitus). Logistic regression revealed that the highest fatal risk was in non-vaccinated males aged >63. Propensity score matching substantiated the observed reduction in mortality rates across the entire vaccinated cohort and within all patient subgroups. Individuals infected with SARS-CoV-2 face an elevated risk of premature mortality. Vaccination, especially when utilising mRNA-based platforms, significantly mitigates this risk, particularly among high-risk populations.

Views about the clinical, diagnostic and comprehensive treatment of plantar fasciitis: a review

INTRODUCTION. One of the problems in modern podiatry is plantar fasciitis. According to population studies, more than two million patients are treated for plantar fasciitis each year in the United States, 1 in 10 people will develop heel pain during their lifetime, and 1 % of visits to podiatrists are related to heel pain. Plantar fasciitis occurs in approximately 10 % of the general population, with 83 % of these patients being active working adults between the ages of 25 and 65. The high prevalence of plantar fasciitis in the population necessitates the search and development of new and effective methods for its recognition and treatment. AIM. Generalization of literature data on the mechanisms of development of plantar fasciitis, methods of diagnosis and treatment. MATERIALS AND METHODS. The databases PubMed, Scopus and the electronic scientific library eLIBRARY were searched for articles using the keywords: “plantar fasciitis”, “plantar fasciosis”, “heel pain”, “heel spur”. Search depth — 10 years. Publications related to the diagnosis and treatment of PF were selected. During the study, 40 publications were selected, the content of which, to one degree or another, corresponded to the purpose of this study. RESULTS AND DISCUSSION. Pain syndrome in the area of the heel bone is the main reason for seeking medical care in patients with plantar fasciitis. Currently, there are several approaches to the treatment of plantar fasciitis: conservative and surgical treatment. Conservative treatment is represented by methods of manual therapy, physical therapy, and physical therapy. Surgical methods include various variants of resection of the bony outgrowth of the calcaneal region and other interventions. CONCLUSION. Treatment of plantar fasciitis requires a multidisciplinary approach to treatment, as no single treatment method is universal. Conservative treatment of patients with plantar fasciitis should be comprehensive. Due to the high prevalence of plantar fasciitis in the population, the introduction of new treatment techniques and the development and use of a unified patient management tactic can improve patient outcomes and quality of life. Among other surgical methods, the use of RFD has a positive effect in patients with PF refractory to conservative therapy and is the least invasive method among surgical methods.

Penerapan Layanan Aplikasi Perpustakaan Digital pada Perpustakaan Universitas Negeri Padang

This study aims to describe: (1) achievement of objectives in the implementation of digital library application services at the Padang State University Library; (2) integration in the implementation of digital library application services at the Padang State University Library; (3) adaptation to the application of digital library application services at the Padang State University Library.This research is a qualitative research with descriptive method. The research instrument used is an interview guideline. The data collection techniques used in this research are observation, interview, and the documentation. The data analysis are data collection, data reduction, data presentation, dan conclusions. Source triangulation was used to test the validity of the data in this study. The results of this study are as follows. First, the achievement of goals in the implementation of digital library application services at the Padang State University Library has not been maximized, limited membership quotas and the unavailability of applications on non-Android devices cause uneven access for users. Second, the integration of the implementation of digital library application services at the Padang State University Library is running quite well, the application is easy to use and also a different system from the traditional library system owned by Padang State University so that it is difficult to integrate the application service. Third, adaptation to the application of digital library application services at the Padang State University Library has not been maximized, the collections available in the application have not adjusted to the target users, in this case Padang State University students.

Digital Behavior Change Intervention Designs for Habit Formation: Systematic Review.

With the development of emerging technologies, digital behavior change interventions (DBCIs) help to maintain regular physical activity in daily life. To comprehensively understand the design implementations of habit formation techniques in current DBCIs, a systematic review was conducted to investigate the implementations of behavior change techniques, types of habit formation techniques, and design strategies in current DBCIs. The process of this review followed the PRISMA (Preferred Reporting Item for Systematic Reviews and Meta-Analyses) guidelines. A total of 4 databases were systematically searched from 2012 to 2022, which included Web of Science, Scopus, ACM Digital Library, and PubMed. The inclusion criteria encompassed studies that used digital tools for physical activity, examined behavior change intervention techniques, and were written in English. A total of 41 identified research articles were included in this review. The results show that the most applied behavior change techniques were the self-monitoring of behavior, goal setting, and prompts and cues. Moreover, habit formation techniques were identified and developed based on intentions, cues, and positive reinforcement. Commonly used methods included automatic monitoring, descriptive feedback, general guidelines, self-set goals, time-based cues, and virtual rewards. A total of 32 commonly design strategies of habit formation techniques were summarized and mapped to the proposed conceptual framework, which was categorized into target-mediated (generalization and personalization) and technology-mediated interactions (explicitness and implicitness). Most of the existing studies use the explicit interaction, aligning with the personalized habit formation techniques in the design strategies of DBCIs. However, implicit interaction design strategies are lacking in the reviewed studies. The proposed conceptual framework and potential solutions can serve as guidelines for designing strategies aimed at habit formation within DBCIs.

A Systematic Literature Review on Using Natural Language Processing in Software Requirements Engineering

This systematic literature review examines the integration of natural language processing (NLP) in software requirements engineering (SRE) from 1991 to 2023. Focusing on the enhancement of software requirement processes through technological innovation, this study spans an extensive array of scholarly articles, conference papers, and key journal and conference reports, including data from Scopus, IEEE Xplore, ACM Digital Library, and Clarivate. Our methodology employs both quantitative bibliometric tools, like keyword trend analysis and thematic mapping, and qualitative content analysis to provide a robust synthesis of current trends and future directions. Reported findings underscore the essential roles of advanced computational techniques like machine learning, deep learning, and large language models in refining and automating SRE tasks. This review highlights the progressive adoption of these technologies in response to the increasing complexity of software systems, emphasizing their significant potential to enhance the accuracy and efficiency of requirement engineering practices while also pointing to the challenges of integrating artificial intelligence (AI) and NLP into existing SRE workflows. The systematic exploration of both historical contributions and emerging trends offers new insights into the dynamic interplay between technological advances and their practical applications in SRE.

Implementation of RDBMS in Establishing a Digital Repository for Schizophyllum Commune (Kurakding) Regional Knowledge

Implementation of RDBMS in Establishing a Digital Repository for Schizophyllum Commune (Kurakding) Regional Knowledge

Clinical case of genous schwannoma

Schwannomas are benign tumors that arise from Schwann cells and account for approximately 5% of all benign soft tissue tumors, are characterized by slow growth (1–2 mm per year) and are clinically asymptomatic for a long time.Material and methods. A review of literary sources for 2000–2023 was carried out, sources from the Russian scientific electronic library eLIBRARY, RSCI databases, and PubMed were used. A clinical case of patient with geniculate ganglion schwannoma is presented.Results. Schwannomas can occur at any age, no gender specific characteristics have been identified, the incidence most often occurs between the third and sixth decades, and there is an association with genetic disorders, in particular with neurofibromatosis. The dominant diagnostic methods remain MRI and MSCT of the brain.Conclusion. The presented clinical case demonstrates a long-term, asymptomatic course of geniculate ganglion schwannoma with intracranial spread. The surgical treatment contributed to improving the patient’s quality of life.

ChemFH: an integrated tool for screening frequent false positives in chemical biology and drug discovery.

High-throughput screening rapidly tests an extensive array of chemical compounds to identify hit compounds for specific biological targets in drug discovery. However, false-positive results disrupt hit compound screening, leading to wastage of time and resources. To address this, we propose ChemFH, an integrated online platform facilitating rapid virtual evaluation of potential false positives, including colloidal aggregators, spectroscopic interference compounds, firefly luciferase inhibitors, chemical reactive compounds, promiscuous compounds, and other assay interferences. By leveraging a dataset containing 823391 compounds, we constructed high-quality prediction models using multi-task directed message-passing network (DMPNN) architectures combining uncertainty estimation, yielding an average AUC value of 0.91. Furthermore, ChemFH incorporated 1441 representative alert substructures derived from the collected data and ten commonly used frequent hitter screening rules. ChemFH was validated with an external set of 75 compounds. Subsequently, the virtual screening capability of ChemFH was successfully confirmed through its application to five virtual screening libraries. Furthermore, ChemFH underwent additional validation on two natural products and FDA-approved drugs, yielding reliable and accurate results. ChemFH is a comprehensive, reliable, and computationally efficient screening pipeline that facilitates the identification of true positive results in assays, contributing to enhanced efficiency and success rates in drug discovery. ChemFH is freely available via https://chemfh.scbdd.com/.

Assessment of Nurses’ Knowledge, Attitude and Practice Regarding Physical Restraint: A Scoping Review

The use of physical restraints (PR) in healthcare settings, especially in psychiatric units, is a controversial topic. The attitude, knowledge, and practices of nurses towards PR can influence its application, which raises concerns about the balance between patient safety and individual rights. With mental disorders being a leading cause of disability globally, understanding the complexities surrounding PR use becomes paramount. A comprehensive literature review was conducted using multiple databases, including PubMed, Medline, CINAHL, PsycINFO, ProQuest, The Cochrane Library, the Saudi Digital Library, and Google Scholar. The search spanned literature published up to December 2022, focusing on studies that explored the relationship between nurses’ knowledge, attitudes, and practices regarding PR in psychiatric settings. Inclusion and exclusion criteria were applied to filter out relevant studies. From 220 records initially retrieved, 12 articles were identified for the final review. The reviewed studies highlighted a moderate knowledge and attitude among nurses concerning PR. Many nurses were found to be uncertain about the reasons for PR application and its alternatives. Educational interventions were emphasized in several studies as beneficial in improving nurses’ knowledge, attitudes, and practices. However, inconsistencies were observed regarding the impact of these interventions on nurses’ attitudes. Experience, higher education, and continuous training sessions were found to be correlated with better knowledge and more favourable attitudes towards PR. This review emphasizes the critical need for consistent training and education for nurses regarding PR, given the profound implications for patient care and safety. While educational interventions show promise in enhancing knowledge and practice, their impact on attitudes remains contested. Future research should consider the gaps identified in this review, including the exploration of alternatives to PR, larger sample sizes and longitudinal studies to understand the long-term effects of interventions.

Parameters for the evaluation of egg quality: a systematic review

Eggs have economic and nutritional potential, being a source of animal protein and are widely consumed in meals. Due to their importance, the objective of this paper is to compile, through a systematic review, information on parameters in egg quality. The search was conducted through Scientific Electronic Library Online (SCIELO), CAPES Periodic, ScienceDirect, and Google Scholar using the following terms: “Quality parameters of eggs” and “physicochemical parameters of eggs”. Eighteen studies were selected; out of the total, 33% of the contributions were from Brazil. Approximately 5 studies investigated age, bird genotypes, different forms of rearing and the influence of these factors on the quality of the eggs produced. Six papers sought to observe the effects of bird feeding on egg quality, while 3 works addressed the use of alternative methods for egg quality analysis. Two studies applied physical evaluations and microbiological analyses to verify the quality of commercialized eggs, and 2 studies presented different approaches involving physical or physicochemical methods for microbial control of eggs. It was concluded that egg quality can be determined by various parameters, whether with traditional methods or the application of alternative and innovative methodologies.

Accessibility of digital systems in information retrieval by users with visual impairment

Purpose This paper aims to evaluate the accessibility of digital information systems as a key usability attribute in information retrieval by users with visual impairment (VI), to inform development of accessible information systems. Design/methodology/approach This study used a cross-sectional survey design based on the quantitative research paradigm. Data was collected from 117 students with visual impairments from selected public universities in Kenya, using a semi-structured questionnaire adapted from Web Content Accessibility Guidelines. Findings This study revealed that gender did not influence screen reader compatibility, alternative format preferences, perceptions of accessible content or digital library navigability. Instead, type of visual impairment, prior assistive technology (AT) training and digital library use frequency significantly impacted these attributes. Blind students reported positive experiences, favouring alternative formats, and expressed positive views on accessible content while those with low vision faced more challenges. Prior training in assistive technology and frequent digital library use resulted in higher screen reader compatibility and better navigability. Increased digital library use was linked to access to alternative content for those with prior assistive technology training. Research limitations/implications This study contributes to the existing literature on accessibility of digital information systems for users with visual impairments. Further research is needed to explore other factors that may influence the accessibility of digital systems, such as the design of user interfaces as well as an evaluation of accessibility of digital systems for other categories of disabilities such as hearing impairment, physical impairment, autism and intellectual disability, among others. Practical implications The findings of this study have practical implications for the design and development of digital systems such as digital libraries. Developers can leverage findings of this study to enhance compatibility of digital platforms with screen readers and provide alternative formats and accessible content. User-centred design principles can be used to create interfaces that are easy to navigate and friendly to users with visual impairments. Training programmes on assistive technology should be provided to users to enhance their skills and confidence in using digital systems. Originality/value This study contributes towards design and creation of navigable systems that are compatible with screen readers. The study also points out the importance of creating more inclusive and usable digital environments for persons with visual impairments.

Human-Centered Design and Benefit Realization Management in Digital Health Care Solution Development: Protocol for a Systematic Review.

Earlier research shows that a significant number of resources are wasted on software projects delivering less than the planned benefits. It has, however, been evidenced that adopting a human-centered design approach when designing health devices can be beneficial. This understanding from earlier research has raised our interest in investigating how human-centered design might contribute to realizing the potential benefits of health care software projects. To our current knowledge, this intersection of human-centered design and benefit realization management has not yet comprehensively and consistently been researched within the context of digital health care solutions. Therefore, there is a need for evidence synthesis using systematic reviews to address this potential research gap. The objective of this study is to examine if human-centered design helps benefit realization management processes in the development of digital health care solutions and thereby enables better benefit realization. We explore the evidence of assumed or confirmed benefits of using human-centered design in the health care domain and whether better results have been reported when the benefit realization management process is followed. This protocol was developed following the PRISMA-P (Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols) guidelines. The proposed review would use a planned and systematic approach to identify, evaluate, and synthesize relevant and recent studies (reported in English) to see if there is evidence that using human-centered design and benefit realization management has a positive effect on realizing set benefits in those projects. We will commence a systematic literature search using human-centered design, benefit realization management, and health care-related search terms within 5 repositories (ACM Digital Library, PubMed Central, Scopus, PubMed, and Web of Science). After removing duplicate results, a preliminary scan for titles and abstracts will be done by at least 2 reviewers. Any incongruities regarding whether to include articles for full-text review will be resolved by a third reviewer based on the predefined criteria. Initial queries of 2086 records have been executed and papers are being prescreened for inclusion. The search was initiated in December 2023 and the results are expected in 2024. We anticipate finding evidence of the use of human-centered design in the development of digital health care solutions. However, we expect evidence of benefitting from both human-centered design and benefit realization management in this context to be scarce. This protocol will guide the review of existing literature on the use of human-centered design and benefit realization management when developing digital health care solutions. The review will specifically focus on finding evidence of confirmed benefits derived from the use of human-centered design and benefit realization management. There may be an opportunity to gain a broader understanding of the tools or approaches that provide evidence of increased benefit realization within the health care domain. DERR1-10.2196/56125.

Keep me PoS-ted: experimenting with Part-of-Speech prediction on Old Babylonian letters

Abstract Within this paper we will account for a cooperation between Ghent University based Assyriologists and computational linguists that has set up a pilot study to analyse the language used in Old Babylonian (OB) letters using Natural Language Processing (NLP) techniques. OB letters make up an interesting dataset because (1) they form an invaluable source for everyday vernacular language, and (2) more than 5000 have been recovered, many of which are accessible in transliteration and translation through the series Altbabylonische Briefe and the Cuneiform Digital Library Initiative. Based on a first batch of letters from OB Sippar, later extended by other Akkadian letters, we aim to develop machine learning approaches to perform semi-automatic text analysis and annotation of the letters. We will here present a Part-of-Speech (PoS) tag prediction model using machine learning. The input data is Akkadian in transliteration and the best performing model is a fine-tuned Multilingual BERT Transformer with Word embeddings (weighted avg F1: 90.19 %). When compared to the benchmark attempt of PoS tagging on a larger Akkadian corpus (97.67 %), it leaves room for improvement. However, analysing the results shows us that multilingual word embeddings improve the model performance and with an enlargement of the corpus targeting certain classes, we could considerably better the macro average F1 scores.

Promoting healthy school food environments and nutrition in Canada: a systematic review of interventions, policies, and programs.

The school food environment is a critical interface for child and adolescent nutrition, and there is a need to understand existing literature on Canadian school food environments to identify equity gaps and opportunities, and empower decision-makers to plan for future action. Literature on Canadian school food and nutrition interventions, policies, programs, and their effects on diets and nutritional status are synthesized and appraised in this systematic review. A search strategy was developed for each database used (Medline, Embase, PsycINFO, ERIC, Cochrane Collaboration, Canadian Electronic Library, BiblioMap), with a combination of free text and controlled vocabulary, for articles published from 1990 to 2021. Unpublished data and grey literature were also searched. Quantitative and qualitative studies with an observational or intervention study design, reviews, or program evaluations conducted in Canadian schools with participants aged 5-19.9 years were included. Key study characteristics and risk of bias were extracted independently by 2 investigators using a standardized tool. A total of 298 articles were included (n = 192 peer reviewed and 106 from the grey literature), which were mostly conducted in Ontario (n = 52), British Columbia (n = 43), and Nova Scotia (n = 28). Twenty-four interventions, 5 nonevaluated programs, and 1 policy involved Indigenous populations. Overall, 86 articles measured and reported on effectiveness outcomes, including dietary intake; anthropometry; knowledge, attitudes, and practices; and physical activity. The literature remains largely heterogenous and primarily focused on nutrition education programs that use subjective assessments to infer changes in nutrition. A key facilitator to implementation and sustainability was community engagement, whereas key barriers were staff capacity, access to resources and funding, and consistent leadership. This review provides insight into Canadian school food and nutrition interventions, programs, and policies and uncovers important evidence gaps that require careful examination for future evaluations. Governments must create supportive environments that optimize nutrition for children and adolescents through equitable policies and programs. PROSPERO registration no. CRD42022303255.

Neural Architecture Comparison for Bibliographic Reference Segmentation: An Empirical Study

In the realm of digital libraries, efficiently managing and accessing scientific publications necessitates automated bibliographic reference segmentation. This study addresses the challenge of accurately segmenting bibliographic references, a task complicated by the varied formats and styles of references. Focusing on the empirical evaluation of Conditional Random Fields (CRF), Bidirectional Long Short-Term Memory with CRF (BiLSTM + CRF), and Transformer Encoder with CRF (Transformer + CRF) architectures, this research employs Byte Pair Encoding and Character Embeddings for vector representation. The models underwent training on the extensive Giant corpus and subsequent evaluation on the Cora Corpus to ensure a balanced and rigorous comparison, maintaining uniformity across embedding layers, normalization techniques, and Dropout strategies. Results indicate that the BiLSTM + CRF architecture outperforms its counterparts by adeptly handling the syntactic structures prevalent in bibliographic data, achieving an F1-Score of 0.96. This outcome highlights the necessity of aligning model architecture with the specific syntactic demands of bibliographic reference segmentation tasks. Consequently, the study establishes the BiLSTM + CRF model as a superior approach within the current state-of-the-art, offering a robust solution for the challenges faced in digital library management and scholarly communication.