Information Database Research Articles

SNSMiner_VAC: Analyzing vaccination based on social network service data for safety surveillance

COVID-19 has created a major issue around the world, posing a serious threat to socioeconomic and human health, and there is still fear of new infectious diseases like this. In Korea, in response to COVID-19, the COVID-19 vaccine approved by the Ministry of Food and Drug Safety was sequentially administered to each group, raising national interest in the safety, side effects, and effectiveness of the vaccine, and securing the basis for related policies. Many attempts have been made for this. We are interested in a methodology to establish a scientific basis for how to respond to issues regarding vaccine stability due to the emergence of new infectious diseases. In this study, we use comments posted on Naver, the largest social platform in Korea, to obtain consumer sentiment information about vaccines and understand the change in Korean public sentiment in the first half of 2021 for each vaccine based on the analysis pipeline (SNSMiner_VAC). We investigated the Korean public’s response to the COVID-19 vaccination on social media from November 30, 2021, to January 31, 2022. We collected comments related to the COVID-19 vaccination using the Korean words for “COVID-19 vaccination” as keywords. Of the 329,559 comments, 240,322 were analyzed after preprocessing. We developed three lexicons (stopwords, sentiment words, and custom words related to COVID-19) for Korean natural language processing. Furthermore, we extracted five clusters — including symptoms, side effects, vaccine hesitancy, pro-vaccination, and infectious disease control policy — through network analysis. The sentiment analysis revealed that negative public opinion was prominent even after the commencement of the phased recovery of daily life. From these results, we were able to automatically collect data-based information on patients’ symptoms and side effects for the new vaccine and prepare and analyze the basis for collecting public opinions about vaccination. We hope that the pipeline proposed in this study can be used as a tool to create a data source for effective management policies for vaccines being developed against the emergence of new infectious diseases.

Accurate reference spectra of HD in an H2–He bath for planetary applications

Context. The hydrogen deuteride (HD) molecule is an important deuterium tracer in astrophysical studies. The atmospheres of gas giants are dominated by molecular hydrogen, and the simultaneous observation of H2 and HD lines provides reliable information on the D/H ratios on these planets. The reference spectroscopic parameters play a crucial role in such studies. Under the thermodynamic conditions encountered in these atmospheres, spectroscopic studies of HD require not only the knowledge of line intensities and positions but also accurate reference data on pressure-induced line shapes and shifts. Aims. Our aim is to provide accurate collision-induced line-shape parameters for HD lines that cover any thermodynamic conditions relevant to the atmospheres of giant planets, namely any relevant temperature, pressure, and perturbing gas composition (the H2–He mixture). Methods. We performed quantum-scattering calculations on our new, highly accurate ab initio potential energy surface (PES), and we used scattering S matrices obtained in this way to determine the collision-induced line-shape parameters. We used cavity ring-down spectroscopy to validate our theoretical methodology. Results. We report accurate collision-induced line-shape parameters for the pure rotational R(0), R(1), and R(2) lines, the most relevant HD lines for investigations of the atmospheres of the giant planets. Besides the basic Voigt-profile collisional parameters (i.e., the broadening and shift parameters), we also report their speed dependences and the complex Dicke parameter, which can influence the effective width and height of the HD lines up to almost a factor of 2 for giant planet conditions. The sub-percent-level accuracy reached in this work is a considerable improvement over previously available data. All the reported parameters (and their temperature dependences) are consistent with the HITRAN database format, hence allowing for the use of the HITRAN Application Programming Interface (HAPI) for generating the beyond-Voigt spectra of HD.

Multi-Scale Deep Learning-Based University Financial System: Hardware Design and Database Integration

With the increasing scale of college enrollment and the increasing complexity of college teaching management, college finance department should innovate the traditional financial management mode while adapting to the reform of teaching management, and make use of the openness and real-time characteristics of Internet to improve the quality of college financial management and reduce the risk of college financial management. To this end, this paper designs a university financial system based on multi-scale deep learning. In the hardware design, the system adds multiple sensors and scans all the information in the financial database using a coordinator. In the software design, the weights that can connect the financial information of the same attribute are set by establishing a database form; according to the multilayer perceptual network topology, a full interconnection model based on multi-scale deep learning is designed to realize the system’s deep extraction of data. The experimental results show that the financial risk is based on the risk warning capability for university finance, and compared with the system under the traditional design, the university finance system designed in this time has the most categories of financial information parameters extracted.

Dyskeratosis congenita associated with a novel missense variant in TERT: Approach for the dermatologists

Dyskeratosis congenita (DC) is a telomeropathy presenting diagnostic and therapeutic challenges across multiple specialties; yet, subtle dermatological signs enable early detection, altering patient prognosis. A specific DC genetic sequencing was performed according to the clinical criteria of our patient in study. Subsequently, cross-checked information in the main genetic databases was carried out. Additionally, an extensive review of the literature was made to organize the main dermatological aspects in DC. We report a novel variant of DC. Additionally, we share 10 useful and practical messages for dermatologists and any specialist caring for this group of patients.

ASSESSMENT OF THE OPPORTUNITIES OF MINERAL WATER RESOURSES FOR REGIONAL DEVELOPMENT – A CASE STUDY OF SOUTH-WESTERN PLANNING REGION, BULGARIA

The mineral water resources are the basis for the development for regions of balneology and SPA activities. The main goal of the present study is to analyze and evaluate the potential of mineral water resources and the state of balneo an d SPA tourism in the South-Western Planning Region of the country. Methods of scientific analysis and synthesis of the collected information database, and geographic information systems (GIS) were applied. The obtained results demonstrate that territory of the studied area has a serious potential of mineral water resources, which in case of sustainable and effective use, would contribute significantly to the development of tourism in the region.

Information-analytical support to business processes for making investment decisions

The object of this study is the business processes of making an investment decision based on determining the state of the investment attractiveness of the enterprise. To support the adoption of investment decisions under the conditions of a fast-moving and dynamic environment, information-analytical support to the algorithm using intelligent information systems has been developed. The relevance of the study is justified by the continuous development of digitization processes, in particular in the financial realm. The traditional approach to the reproduction of management decision-making technology is complemented by the tools and methods of intelligent information systems. In particular, the modeling of the target subject area using UML made it possible to determine the main requirements for the projected information-analytical support (user roles, available options, types of connections and the logic of interaction between them). SQL queries to the information database speed up the process of processing and obtaining the necessary data samples. Business intelligence (BI) tools are used to create interactive reports that provide access to operational financial data. At the stage of making investment decisions, these tools make it possible to study a wide range of analytical data based on the results of the assessment of the investment attractiveness of the enterprise obtained at the previous stage of the developed algorithm. Monitoring of the main indicators of the enterprise's investment attractiveness is carried out on the basis of a dashboard, an information panel (display) with graphs, tables, and figures that clearly reflect the dynamics and rates of change of the investigated indicators. The results of the use of algorithmic information-analytical support make it possible to quickly prepare and make investment decisions. A visual description of the projected information-analytical support, visual content of the results of investment analysis, the validity of decisions due to the use of reliable retrospective information from an aggregated database

Mining biosynthetic gene clusters in Paenibacillus genomes to discover novel antibiotics

BackgroundBacterial antimicrobial resistance poses a severe threat to humanity, necessitating the urgent development of new antibiotics. Recent advances in genome sequencing offer new avenues for antibiotic discovery. Paenibacillus genomes encompass a considerable array of antibiotic biosynthetic gene clusters (BGCs), rendering these species as good candidates for genome-driven novel antibiotic exploration. Nevertheless, BGCs within Paenibacillus genomes have not been extensively studied.ResultsWe conducted an analysis of 554 Paenibacillus genome sequences, sourced from the National Center for Biotechnology Information database, with a focused investigation involving 89 of these genomes via antiSMASH. Our analysis unearthed a total of 848 BGCs, of which 716 (84.4%) were classified as unknown. From the initial pool of 554 Paenibacillus strains, we selected 26 available in culture collections for an in-depth evaluation. Genomic scrutiny of these selected strains unveiled 255 BGCs, encoding non-ribosomal peptide synthetases, polyketide synthases, and bacteriocins, with 221 (86.7%) classified as unknown. Among these strains, 20 exhibited antimicrobial activity against the gram-positive bacterium Micrococcus luteus, yet only six strains displayed activity against the gram-negative bacterium Escherichia coli. We proceeded to focus on Paenibacillus brasilensis, which featured five new BGCs for further investigation. To facilitate detailed characterization, we constructed a mutant in which a single BGC encoding a novel antibiotic was activated while simultaneously inactivating multiple BGCs using a cytosine base editor (CBE). The novel antibiotic was found to be localized to the cell wall and demonstrated activity against both gram-positive bacteria and fungi. The chemical structure of the new antibiotic was elucidated on the basis of ESIMS, 1D and 2D NMR spectroscopic data. The novel compound, with a molecular weight of 926, was named bracidin.ConclusionsThis study outcome highlights the potential of Paenibacillus species as valuable sources for novel antibiotics. In addition, CBE-mediated dereplication of antibiotics proved to be a rapid and efficient method for characterizing novel antibiotics from Paenibacillus species, suggesting that it will greatly accelerate the genome-based development of new antibiotics.

Potential to use of viral reverse transcriptase inhibitors in oncology

In preparing the review, articles on the functioning of the reverse transcriptase enzyme of endogenous repeat sequences LINE1, the mechanisms of action and antitumor activity of viral reverse transcriptase inhibitors. Articles available in the biomedical literature information databases SciVerse Scopus, PubMed, Web of Science, Russian Science CitationIndex (RSCI) were analyzed. The review used information from 140 publications, of which 95 and 39 were published, respectively, over the last ten and three years, 2 articles present the results of clinical studies, and 45 articles refer to results demonstrating the anticancer properties of the studied compounds in various models in vitro and in vivo. Aim. Based on data on the functional properties of the reverse transcriptase enzyme of endogenous repeat sequences LINE1 (long interspersed nuclear elements 1), analyze the potential use of viral reverse transcriptase inhibitors in oncology, presenting their classification and main mechanisms of action. About 98 % of the human genome consists of repetitive sequences, most of which are represented by mobil genetic elements, the activation of which leads to increased genome instability. These include long (LINE) and short (SINE) interspersed nuclear element repeated DNA sequences interspersed nuclear elements, respectively, which occupy about 45 % of the human genome. Increased expression levels of these sequences in the genome have been identified in many forms of malignant neoplasms. Their transposition occurs due to the expression of LINE1-encoded reverse transcriptase, whichis homologous to viral reverse transcriptase. To date, reverse transcriptase inhibitors of viruses of nucleoside and non-nucleoside structure have been developed and are successfully used in the clinic. These drugs demonstrate an inhibitory effect on both LINE1 reverse transcriptase and telomerase, which provides the tumor cell with the ability to overcome replicative senescence. Due to these properties, these compounds are expected to exhibit both their own antitumor activity and increase the sensitivity of tumor cells to the therapy of malignant neoplasms, which is experimentally confirmed in models of malignant tumors in vitro and in vivo. Use of reverse transcriptase inhibitors in combination therapy seems advisable both to prevent further genome rearrangements caused by LINE1 and to suppress the survival of tumor cells by inhibiting telomerase activity.

Identification of lncRNA-mRNA network linking ferroptosis and immune infiltration to colon adenocarcinoma suppression

BackgroundColon adenocarcinoma (COAD) is one of the most common malignant tumors. The interplay involving ferroptosis between tumor and immune cells plays a crucial in cancer progression. However, the biological basis of this interplay in COAD development remains elusive. MethodsTranscriptome data of COAD samples were obtained from The Cancer Genome Atlas and National Center for Biotechnology Information databases. Using single-sample gene set enrichment analysis, we calculated the ferroptosis score (FS) and immune cell infiltration levels for each sample, leveraging the expression levels of genes related to ferroptosis and various immune cell types. Samples with FSs greater than the 75th percentile were classified into the high-FS subgroup, while those below the 25th percentile were categorized as the low-FS subgroup. Moreover, tumor tissue samples and adjacent normal tissue samples were collected from twenty colon patients. Using real-time quantitative polymerase chain reaction, we validated the expression of certain genes in these samples. ResultsThe COAD samples with high FSs experienced favorable survival probability and heightened sensitivity to anticancer drugs, with FSs negatively associated with the pathological stages. Moreover, the up-regulated genes in high-FS subgroup exhibited enrichment in immune-related pathways, suggesting a correlation between immunity and ferroptosis. Importantly, we discovered a key lncRNA-mRNA co-expression network linking tumor cell ferroptosis and immune infiltration (e.g., neutrophil) in the progression and classification of COAD. Further analysis identified several ferroptosis-related lncRNAs (e.g., RP11-399O19.9) within this network, indicating their potential roles in COAD progression and deserving in-depth study. ConclusionsOur findings provide novel insights into the underlying biological basis, particularly involving lncRNAs, at gene expression level associated with ferroptosis in COAD and cancer therapy. Nevertheless, further analysis and validation are required to expand the findings.

The Impact of Digital Trade on China’s Position in the GVC: An Empirical Analysis Based on Sino-Russian Cross-Border Panel Data

This study analyzes OECD input–output data and UNCTAD database information to assess the impact of Sino-Russian digital trade on China’s position in the global value chain (GVC). The findings indicate that digital trade between China and Russia enhances China’s GVC status, especially in technology-intensive manufacturing sectors, while its impact is less pronounced in non-technology-intensive sectors. The digitalization level of the service industry significantly influences its effectiveness, with stronger effects in sectors that are less digitally mature. Mechanism analysis reveals that Sino-Russian digital trade boosts GVC positions through effective technology transfer, increased capital stock, and optimized human resources. Based on theoretical and empirical analyses, deepening the digitization of the manufacturing sector, expanding the layout of digital industries, strengthening Sino-Russian digital trade cooperation, and promoting the development of a digital “Belt and Road” initiative are beneficial for enhancing China’s position in the GVC and enhancing overall prosperity. These strategies not only enhance global competitiveness but also contribute to the broader goals of sustainable development by fostering economic resilience and innovation.

Kurikulum Merdeka: Meningkatkan Kualitas Pembelajaran dengan Kebebasan dan Fleksibilitas

How the implementation of Independent curriculum in improving the quality of learning with freedom and flexibility. The implementation of The Independent curriculum has brought significant changes in improving the quality of learning in Indonesia. This curriculum gives teachers, students and the community the freedom and comfort to create more innovative and creative content and learning methods. The curriculum must follow the essence and character of the Times and pay attention to the diversity and inclusiveness of the teaching and learning process. The Independent curriculum gives students the opportunity to get more meaningful and personalized learning. The purpose of this study to determine the concept of independent curriculum as an aspect of learning with freedom and flexibility. In this study using the type of qualitative research, using the method of literature study. The technique of collecting data in this study is by searching in electronic books (e book) and the latest scientific articles: looking for information in catalogs and library databases. With the aim of solving the problem by tracing the sources of writing that have been made before that are in line with the title of this study.

Цитогенетические последствия воздействия бензина на Lepidium sativum L.

The study aimed to characterize the ecological aftermath of the impact of gasoline on biological objects. On today, oil and products from it remain one of the most common pollutants. The novelty and relevance of the study are determined by the minimum database of cytogenetic changes after impact of gasoline on biota. The registration of such consequences, as a rule, negative ones, dictates the need to develop directions and methods for the reclamation of contaminated areas. An experimental study using a model plant object – watercress (Lepidium sativum L.) revealed the aftermath of gasoline impact. This object made it possible to identify a complex of changes determined by the gasoline. The experiment studied the effect of AI-95 gasoline in concentrations of 3, 5, 10% (water solution). For cytogenetic analysis, temporary compressed micro preparations of root sections stained with acetoorcein were examined. The anaphase method was used to account the chromosomal abnormalities. Gasoline can also be characterized as a mutagen. The level of mutations (bridges, fragments, micronucleus) under the impact of gasoline at a concentration of 5% is 35 times higher than in the control. Multiple violations were registered only as a result of impact by the investigated pollutant, which determines a high increase in the frequency of micronucleus. The proportion of aberrant anaphases in the total number of anaphases in the control was 1,2%, in the experimental variants it increased to 42,0, 68,4 and 79,6% under the impact of gasoline at concentrations of 3, 5 and 10%. Mitotoxic, as well as cytotoxic activity, was recorded. It is shown in a decrease in the mitotic index and a change in the ratio of mitotic phases. In the experimental variants, the frequency of cells in anaphase is decreased and the proportion of cells at the prophase stage is increased. That may be due to increase repair systems operating time. New experimental data on the genotoxicity of gasoline replenish the information database on the negative consequences of the impact of gasoline on plant objects.

Prevalence of Burnout Among Health Workers in Iran: A Systematic Review and Meta-analysis

Introduction: Burnout significantly impacts human service professions, reducing the sense of competence and successful performance of duties. This study aimed to investigate the prevalence of job burnout among healthcare workers in Iran. Methods: A systematic search was conducted according to the PRISMA checklist in databases such as PubMed, Scopus, Web of Science, PsycINFO, Magiran, Scientific Information Database (SID), and IranDoc from the inception of each database until December 30, 2023. Studies that used the Maslach burnout inventory to investigate the prevalence of burnout in health workers and had an observational design (including cross-sectional studies) were included. The selection of relevant studies was performed independently by two researchers at all stages of study selection, including screening, full-text review, and qualitative evaluation using the modified version of the HOY tool. Data implementation was done in Excel, and data analysis was conducted using STATA version 12. Results: A total of 63 articles were included. About 62.2% of the studies had a low risk of bias. A meta-analysis was performed using the random-effects method to calculate the prevalence of job burnout, and the average score of burnout was calculated as ES: [95% Conf interval = 0.38 (0.30 - 0.46)]. The degree of heterogeneity was reported as I2 = 99.66%, which is significant (P = 0.000), indicating high heterogeneity among the studies. Subgroup analysis was conducted to reduce heterogeneity. The results showed that the average burnout score increases with the sample size increase in the study, which is statistically significant (P < 0.001). Conclusions: To minimize burnout, it is suggested that supportive approaches, including access to psychosocial support, web-based services, psychological first aid, psychological support hotlines, and self-care techniques, be considered for healthcare workers during their service years.

Study on mapping method of irrigated cultivated land–taking Nebraska as an example

The distribution information of irrigated cultivated land is important to many studies, including grain yield estimation, water resources management, drought risk assessment, and so on. This study developed a feature variable, called the irrigation probability index (IPI), based on the principle that irrigation can slow down or inhibit the evolution from meteorological drought to agricultural drought. Nebraska, which has a good irrigation information database, was selected as the study area. Combining IPI with the irrigation statistical data and other selected feature variables, irrigated cultivated land in Nebraska was mapped in 2017 using both the spatialization method and remote sensing classification methods (random forest and support vector machine). We verified the effectiveness of IPI in identifying irrigated cultivated land, analyzed the importance of different feature variables for irrigated cultivated land identification, and compared the accuracy of different irrigation mapping methods. The results show that the IPI is significantly correlated with the actual irrigation area, the area of irrigation facilities, and the number of active irrigation wells. It has a better indicative ability of irrigation in areas with a suitable climate or arid areas, than in areas with a humid climate. The crop water stress index (CWSI), IPI, vegetation index (EVI and NDVI), and land surface temperature difference between day and night are the most important feature variables that are used to distinguish irrigated cultivated land from rain-fed cultivated land. There are differences between the recognition accuracies of the three mapping methods in different climatic regions. Overall, the spatialization method had the highest accuracy (overall accuracy = 86.92 %, kappa = 0.74) and the highest similarity with the existing high-resolution irrigation maps. This study provides a direct and useful reference for other researchers to select feature variables and mapping methods in irrigated cultivated land mapping research.

Trends in commonly used and potentially inappropriate medications in older Korean patients with polypharmacy

BackgroundPolypharmacy is a global public health concern. This study aimed to determine the prevalence of polypharmacy and trends in the use of commonly used and potentially inappropriate medications among older Korean patients.MethodsIndividuals aged ≥ 65 years who were prescribed any medication between 2014 and 2018 were selected from the Korean National Health Information Database. Joinpoint regression analyses were used to determine trends in the age-adjusted polypharmacy rates by age group. The prescription rates of the most commonly used medications and the most commonly used potentially inappropriate medications were analysed by year or age group for patients with polypharmacy using the chi-square and proportion difference tests.ResultsThis study included 1,849,968 patients, 661,206 (35.7%) of whom had polypharmacy. Age-adjusted polypharmacy rates increased significantly between 2014 and 2018 (P = 0.046). Among patients with polypharmacy, the most commonly prescribed medications were aspirin (100 mg), atorvastatin, metformin, glimepiride, and rosuvastatin. The most commonly prescribed and potentially inappropriate medications were alprazolam, diazepam, amitriptyline, zolpidem, and dimenhydrinate. There was a significant decrease in the prescription rates for each of these drugs in 2018 compared with 2014 among patients with polypharmacy (all P < 0.001), whereas there was a significant increase in alprazolam prescription among patients aged ≥ 85 years when analysed by age group (P < 0.001).ConclusionsThis study revealed an increasing prevalence of polypharmacy among older adults. Additionally, it highlighted that the utilisation of commonly prescribed potentially inappropriate medications, such as benzodiazepines and tricyclic antidepressants, has remained persistent, particularly among patients aged ≥ 85 years who practiced polypharmacy. These findings provide evidence-based guidance for the development of robust polypharmacy management strategies to ensure medication safety among older adults.

THE INFLUENCE OF CONFLICTS ON THE STATE OF INTERNATIONAL SECURITY AND WAYS OF REGULATING GEOPOLITICAL TENSION

The growth of geopolitical tension and conflicts in the modern world pose a serious threat to the international security system. It has been established that in recent years conflict at the international level has reached a critical level with the highest risk of nuclear confronta- tion based on the results of the conducted research. In this regard, issues of constructive reso- lution of international conflicts, establishment and maintenance of a stable structure of inter- national relations are gaining significant relevance. The purpose of the article is to determine the essence of conflicts with the study of their impact on the state of international security and to build an analytical basis for the formation of systemic decisions aimed at their settlement in the conditions of growing geopolitical tension. Analysis of conceptual approaches, theories and concepts of conflict research has been provided in the course of the research. Classifications and typologies of international conflicts are considered with an emphasis on the main structural elements of the conflict. The formation of an analytical system for supporting strategic decision-making has been proposed in order to solve issues related to the settlement of international conflicts and the ef- fective development of international relations. The proposed system combines four subsys- tems, namely: the subsystem of forming information databases, the subsystem of determining relationships, the subsystem of modelling and the subsystem of forming strategic decisions. The practical use of the proposed system will make it possible to form analytical infor- mation and determine the dominant factors of influence on the socio-economic state and the conflict situation. It is possible to determine the trends in the development of international con- flicts and to form strategies for their settlement and increase the efficiency of international re- lations, taking into account the long-term perspective on the basis of obtaining analytical in- formation.

Investigating the intersections of vulnerability detection and Internet of Medical Things (IoMT) in healthcare, a scoping review protocol for Remote Patient Monitoring

Due to the rapid and ubiquitous development and acceptance of IoT, healthcare providers have changed their locational settings from solely based in clinics to extend more broadly into the reach of patients’ domestic homes. This IoMT focus extends to various medical devices and applications within the healthcare domain, such as any form of smartphones, surveillance cameras, wearable sensors, and actuators, that hold the capability to access IoT technologies. The aim of this scoping review has two important objectives. The first is to understand the best approaches towards acquisition and refinement of data in favour of an optimised cyber security posture for remote patient monitoring. The second is to understand how best to detect cyberattacks and vulnerabilities in Medical IoTs using automated reasoning. The review will be carried out according to the Joanna Briggs Institute (JBI) scoping review methodology. The key information sources are Springer Link, IEEE Xplore, Science Direct, SCOPUS, and ACM databases. The search is limited to studies written in English. The initial step in the review uses keywords and index terms to identify literature from the selected database information sources. The second step then takes the identified elements and searches each of the databases. The third step involves a search of the references to determine literature inclusion using a full-text screening process. Medical IoT devices, specifically designed for patient monitoring and diagnosis, excel in their ability to collect, transfer, and interact with real-time data. It focuses on intersections between IoMTs, cyberattacks and vulnerabilities, knowledge graph detection, and automated reasoning.

Beyond Diagnosis and Comorbidities-A Scoping Review of the Best Tools to Measure Complexity for Populations with Mental Illness.

Beyond the challenges of diagnosis, complexity measurement in clients with mental illness is an important but under-recognized area. Accurate and appropriate psychiatric diagnoses are essential, and further complexity measurements could contribute to improving patient understanding, referral, and service matching and coordination, outcome evaluation, and system-level care planning. Myriad conceptualizations, frameworks, and definitions of patient complexity exist, which are operationalized by a variety of complexity measuring tools. A limited number of these tools are developed for people with mental illness, and they differ in the extent to which they capture clinical, psychosocial, economic, and environmental domains. Guided by the PRISMA Extension for Scoping Reviews, this review evaluates the tools best suited for different mental health settings. The search found 5345 articles published until November 2023 and screened 14 qualified papers and corresponding tools. For each of these, detailed data on their use of psychiatric diagnostic categories, definition of complexity, primary aim and purpose, context of use and settings for their validation, best target populations, historical references, extent of biopsychosocial information inclusion, database and input technology required, and performance assessments were extracted, analyzed, and presented for comparisons. Two tools-the INTERMED, a clinician-scored and multiple healthcare data-sourced tool, and the VCAT, a computer-based instrument that utilizes healthcare databases to generate a comprehensive picture of complexity-are exemplary among the tools reviewed. Information on these limited but suitable tools related to their unique characteristics and utilities, and specialized recommendations for their use in mental health settings could contribute to improved patient care.

A Rumor Propagation Model Considering Media Effect and Suspicion Mechanism under Public Emergencies

In this paper, we collect the basic information data of online rumors and highly topical public opinions. In the research of the propagation model of online public opinion rumors, we use the improved SCIR model to analyze the characteristics of online rumor propagation under the suspicion mechanism at different propagation stages, based on considering the flow of rumor propagation. We analyze the stability of the evolution of rumor propagation by using the time-delay differential equation under the punishment mechanism. In this paper, the evolution of heterogeneous views with different acceptance and exchange thresholds is studied, using the standard Deffuant model and the improved model under the influence of the media, to analyze the evolution process and characteristics of rumor opinions. Based on the above results, it is found that improving the recovery rate is better than reducing the deception rate, and increasing the eviction rate is better than improving the detection rate. When the time lag τ &lt; 110, it indicates that the spread of rumors tends to be asymptotic and stable, and the punishment mechanism can reduce the propagation time and the maximum proportion of deceived people. The proportion of deceived people increases with the decrease in the exchange threshold, and the range of opinion clusters increases with the decline in acceptance.

Medication errors involving intravenous paracetamol in children: experience from enquiries to the National Poisons Information Service

IntroductionChildren are at higher risk of medication errors due to the complexity of drug prescribing and administration in this patient group. Intravenous (IV) paracetamol overdose differs from overdose by ingestion...