Information Tools Research Articles

Intelligent Verification Tool for Surgical Information of Ophthalmic Patients-A Study Based on Artificial Intelligence Technology.

With the development of day surgery, the characteristics of "short, frequent and fast" ophthalmic surgery are becoming more prominent. However, nurses are not efficient in verifying patients' surgical information, and problems such as patient privacy leakage are becoming more prominent. To improve the situation, we developed a new augmented reality (AR)-based tool for visual recognition and artificial intelligent (AI) interpretation of the pattern and location of patient surgical skin markings for the verification of the correct surgical site and procedure. The tool can also display a variety of other verbally requested patient information. The purpose of this proposal is to evaluate its feasibility of use by surgical nurses in a real clinical setting. We developed a tool with image recognition technologies to interpretation patient surgical skin markings and match the information obtained with the patients surgical records, thus, verify the patient's surgical information. Verification includes the proper surgical site and type of procedure to be performed. Nurses can interact with the device through its speech recognition capabilities and the device provides them with a variety of other requested patient information via a heads-up display. Three hundred patients in an outpatient ophthalmology clinic were divided into an AR intelligent verification experimental group and a manual verification control group. The accuracy of information verification, work time consumption, and economic cost data were compared between the 2 groups to evaluate the effectiveness of the AR Surgical Information Intelligent Verification Tool in clinical patient surgical information verification. There was no statistically difference in the correct rates of patient surgical information review between the experimental group (95.33%) and the control group (98.67%) (χ2 = 2.934, P = 0.087). The median time for information verification was 10.00 (10.00, 11.00) seconds in the experimental group and 21.00 (20.00, 24.00) seconds in the control group, a statistically difference (Z = 0.000, P < 0.001). The experimental group saved 11 seconds per patient per review compared with the control group. Considering 10,531 surgeries in 2023, printing 1 page of surgical information per 9 patients and requiring 4 copies, 4680 pages of printing paper could be saved. The AR Surgical Information Intelligent Verification Tool has advantages in assisting medical staff in patient surgical information verification, improving nursing efficiency, preventing surgical mark errors or nonstandardization, protecting patient privacy, and saving costs. It has certain research and application value in the scenario of patient surgical information verification in ophthalmic day ward.

Catching Mind Wandering With Pupillometry: Conceptual and Methodological Challenges.

Mind-wandering (MW) refers to the shift of attention away from an ongoing task and/or external environment towards mental contents (e.g., memories, prospective thoughts) unrelated to the task. Physiological measures (e.g., pupil size, EEG, and fMRI) have often been acquired as objective markers for MW states, which has greatly helped their study as well as triangulation with other measures. Pupillometry in particular has been used as a covert biomarker of MW because it is reliably modulated by several distinct processes spanning arousal, emotion, and attention, and it signals attentional lapses. Yet, coupling MW and the measurement of pupil size has led to seemingly contrasting results. We argue that, common to the studies reviewed here, one reason is resolving to the measurement of tonic pupil size, which reflects low-frequency, slow changes in one's physiological state, and thus implicitly assumes that MW is a static, long-lasting process. We then additionally focus on three major axes of variability in the reviewed studies: (i) the definition and measurement of MW; (ii) the impact of contextual aspects, such as task demands and individual arousal levels; (iii) the identification and tracking of MW in combination with pupillary measures. We provide an overview of these differences and put forward recommendations for using physiological measures-including, but not limited to, pupil size-in MW research effectively. In conclusion, pupillometry can be a very informative tool for MW research, provided that it is used with the due methodological caution.

Evaluasi Kegunaan Website Mahasiswa Universitas Amikom Purwokerto Menggunakan Metode Usability Testing

The purpose of this research is to evaluate the usability of the website by students of Amikom University Purwokerto using the usability testing method. In today's digital world, websites have become the primary tools for communication and information for educational institutions. Therefore, it is important to ensure that the website meets the needs and expectations of users. The methods used in this study include data collection through a questionnaire designed to measure five key variables: learnability, efficiency, memorability, errors, and user satisfaction. This questionnaire was distributed to students to gather comprehensive feedback regarding their experiences while using the website.The research results indicate that there are many aspects that need improvement to enhance the user experience, including ease of navigation and the speed of information delivery. The lower scores on the memorability index suggest that users experience difficulties recalling how to use certain functions after not visiting the website for a certain period. Additionally, several performance issues and errors were found that could hinder users from achieving their goals on the website. We hope that these findings can provide useful recommendations for the development of educational websites to be more efficient and user-friendly. Given the negative aspects identified, it is hoped that the user experience can be improved so that the website can function as a source of information and services for students.

Desain Buku Sebagai Media Informasi Mengenai Menstruasi Pertama

This research aims to evaluate the effectiveness of books as information media in educating teenagers about first menstruation. The research methods used included questionnaires, interviews, and observations of a sample of teenage girls. The research results show that books are an effective source of information in helping teenagers understand their first menstruation. Teens who use books as a source of information tend to have a better understanding of the physical and emotional changes associated with menstruation. Apart from that, books also help reduce the stigma and anxiety related to menstruation. These results have important implications for the development of more effective adolescent health education programs. This study provides valuable insight into the role of books as a relevant information tool in understanding first menstruation.

Research on the Multilingual Talent Cultivation System Empowered by AI under the New Liberal Arts Context

This paper explores the AI (artificial intelligence) empowerment in foreign language education within the context of “New Liberal Arts” and its impact on a diversified foreign language talent cultivation system. Though challenges brought by AI, AI empowerment could facilitate the foreign language discipline development. Drawing upon this basis, the paper further explores the breakthroughs in foreign language talent cultivation. That suggests a shift from information tools to character education, from language proficiency to core competency strengthening, from single-discipline to interdisciplinary talent cultivation, and from imparting language knowledge to advancing general education understanding. This paper proposes paths for diversified foreign language talent cultivation in the AI era, including AI empowerment character education cultivation approaches, the construction of a diversified curriculum system, the innovation of interdisciplinary curriculum clusters, AI empowerment reshaping of digital teaching practice settings, and AI empowerment reconstruction of foreign language digital teaching resources. With those approaches, the adjusting focus and methods of foreign language talents cultivation, an effective Multilingual Talent Cultivation System will be established with international perspectives, cross-cultural communication skills, and innovation capabilities to meet the development needs of the AI era.

Noninvasive optical monitoring of cerebral hemodynamics in a preclinical model of neonatal intraventricular hemorrhage.

Intraventricular hemorrhage (IVH) is a common complication in premature infants and is associated with white matter injury and long-term neurodevelopmental disabilities. Standard diagnostic tools such as cranial ultrasound and MRI are widely used in both preclinical drug development and clinical practice to detect IVH. However, these methods only provide endpoint assessments of blood accumulation and lack real-time information about dynamic changes in ventricular blood flow. This limitation could potentially result in missed opportunities to advance drug candidates that may have protective effects against IVH. In this pilot study, we aimed to develop a noninvasive optical approach using diffuse correlation spectroscopy (DCS) to monitor real-time hemodynamic changes associated with hemorrhagic and sub-hemorrhagic events in a preclinical rabbit model of IVH. DCS measurements were conducted during the experimental induction of IVH, and results were compared with ultrasound and histological analysis to validate findings. Significant changes in hemodynamics were detected in all animals subjected to IVH-inducing procedures, including those that did not show clear positive results on ultrasound. The study revealed progressively elevated coefficients of variation in blood flow, particularly driven by increased oscillations within the 0.05-0.1 Hz frequency band. These hemodynamic changes were more pronounced in animals that developed IVH, as confirmed by ultrasound. Our findings suggest that real-time optical monitoring with DCS can provide critical insights into pathological blood flow changes, offering a more sensitive and informative tool for evaluating potential therapeutics in the context of IVH.

Forecasting Electricity Consumption Using Function Fitting Artificial Neural Networks and Regression Methods

With the growth of smart grids, consumers now have access to new technologies that enable improvements in the quality of service provided and allow new levels of energy efficiency. Much of this increase in energy efficiency is directly related to changes in consumption habits due to the quantity and quality of information made available by new technologies. At this point, short-term consumption forecasting can be considered an effective information tool in the search for better consumption patterns and energy efficiency. This paper presents prediction tests combining the result obtained from an artificial neural network and regression methods. The artificial neural network used was the Multilayer Perceptron (MLP), and its results were compared with polynomial regression techniques (first, second, and third degree), demonstrating the superiority of the network. The neural network has proven to be a highly effective tool for forecasting future data, demonstrating its ability to capture complex patterns in input data and produce accurate estimates. Additionally, the flexibility of neural networks in handling large volumes of data and their continuous adjustment capability further enhance their suitability as a robust tool for future predictions. The results corroborate the capacity of the methodology presented for short-term consumption forecasting.

How policy satisfaction affects residents’ low-carbon behavior: the mediating role of place attachment

ABSTRACT Policy interventions can effectively promote the public’s low-carbon behaviors (LCBs), provided the public already understands and perceives the policy. The extent to which the public gets to know the policy is easily overlooked in relevant studies. Based on a survey conducted in Hangzhou, China, this paper compares the residents’ satisfaction with the policies promoting LCBs. Furthermore, the impact of different levels of policy satisfaction on the willingness to engage in LCBs with place attachment as a mediator is also investigated. The results show that respondents’ policy satisfaction is moderately high, with female respondents (3.479) slightly higher than males (3.430). The policy satisfaction, from high to low, is administrative regulations (3.515), technical interventions (3.463), information tools (3.457), and economic incentives (3.384). Policy satisfaction has a significant effect on willingness to engage in LCBs and place attachment, and place attachment has a positive effect on willingness to engage in LCBs. Place attachment plays a partial mediating role in the influence path of policy satisfaction on the willingness of LCBs. The study provides insights for policymakers on enhancing policy dissemination and engagement, particularly in the context of gender differences, and offers a comprehensive view of the dynamics driving sustainable behavior change in urban China.

Minimally Modified HIV-1 Infection of Macaques: Development, Utility, and Limitations of Current Models.

Nonhuman primate (NHP) studies that utilize simian immunodeficiency virus (SIV) to model human immunodeficiency virus (HIV-1) infection have proven to be powerful, highly informative research tools. However, there are substantial differences between SIV and HIV-1. Accordingly, there are numerous research questions for which SIV-based models are not well suited, including studies of certain aspects of basic HIV-1 biology, and pre-clinical evaluations of many proposed HIV-1 treatment, prevention, and vaccination strategies. To overcome these limitations of NHP models of HIV-1 infection, several groups have pursued the derivation of a minimally modified HIV-1 (mmHIV-1) capable of establishing pathogenic infection in macaques that authentically recapitulates key features of HIV-1 in humans. These efforts have focused on three complementary objectives: (1) engineering HIV-1 to circumvent species-specific cellular restriction factors that otherwise potently inhibit HIV-1 in macaques, (2) introduction of a C chemokine receptor type 5 (CCR5)-tropic envelope, ideally that can efficiently engage macaque CD4, and (3) correction of gene expression defects inadvertently introduced during viral genome manipulations. While some progress has been made toward development of mmHIV-1 variants for use in each of the three macaque species (pigtail, cynomolgus, and rhesus), model development progress has been most promising in pigtail macaques (PTMs), which do not express an HIV-1-restricting tripartite motif-containing protein 5 α (TRIM5α). In our work, we have derived a CCR5-tropic mmHIV-1 clone designated stHIV-A19 that comprises 94% HIV-1 genome sequence and replicates to high acute-phase titers in PTMs. In animals treated with a cell-depleting CD8α antibody at the time of infection, stHIV-A19 maintains chronically elevated plasma viral loads with progressive CD4+ T-cell loss and the development of acquired immune-deficiency syndrome (AIDS)-defining clinical endpoints. However, in the absence of CD8α+ cell depletion, no mmHIV-1 model has yet displayed high levels of chronic viremia or AIDS-like pathogenesis. Here, we review mmHIV-1 development approaches, the phenotypes, features, limitations, and potential utility of currently available mmHIV-1s, and propose future directions to further advance these models.

Comparative Study of the Genetic Similarity of Aquaporins through In Silico Genetic Analysis of Homo sapiens, Jaculus jaculus, Pan troglodytes, and Mus musculus

Our study aims to compare the nucleotide sequences of specific aquaporin genes (AQPs) by analysing and studying the possible similarities and differences of a number of animal species using the NCBI website, BLAST, MEGA, and MAFFT. As a practical application of modern methods and tools in molecular analysis through informatics tools. This study shows that comparing the nucleotide sequences of aquaporin genes between different species can reveal important evolutionary advances and fundamental biological adaptations. The differences and similarities discovered between humans (Homo sapiens), chimpanzees (Pan troglodytes), gerbils (Jaculus jaculus) and house mice (Mus musculus) highlight the delicate balance between genetic conservation and adaptation to different environments, enhancing our deep understanding of the molecular mechanisms that regulate water balance in different organisms.

Risk factors of foodborne parasitic diseases still remain in China: a WeChat-based knowledge, attitudes, and practices study

ObjectiveWith the progress of economic globalization and food diversification, foodborne parasitic diseases pose a significant public health challenge in China. This study aimed to explore the knowledge, attitudes, and practices regarding foodborne parasitic diseases among the Chinese population via WeChat, which is a promising tool for disease surveillance and health education.MethodsUsing a questionnaire, this cross-sectional study was conducted on September 25, 2023. Participants completed a structured questionnaire by scanning a QR code provided in a tweet from the WeChat official account of the Jiangsu Institute of Parasite Disease. Multivariable logistic regression analysis was employed to explore potential independent determinants of adequate knowledge of foodborne parasitic diseases, and the positive attitude and good practice rates of the participants were calculated.ResultsIn total, 5,675 valid questionnaires were collected via the WeChat official account. Most participants (79.91%) fell within the age range of 20–40 years, with a higher representation of males (53.18%), and 89.80% were of Han Chinese ethnicity. It was found that 76.65% of the participants had adequate level of knowledge. Multivariable logistic regression analysis revealed that individuals of Hui nationality (OR = 0.57, 95% CI: 0.40–0.81, p = 0.002), clinicians (OR = 0.13, 95% CI: 0.09–0.19, p < 0.001), teachers (OR = 0.48, 95% CI: 0.34–0.69, p < 0.001), and government staff (OR = 0.40, 95% CI: 0.30–0.53, p < 0.001) had significantly higher levels of knowledge. Among the participants, 33.9% reported consuming raw fish or drunken shrimp, 10.6% would still try to consume raw fish despite the risk of parasitic infection, and 84.1% did not use separate cutting boards for raw and cooked foods in their kitchens.ConclusionsAlthough majority of the Chinese public (76.65%) demonstrates adequate level of knowledge on foodborne parasitic diseases, there is a need to enhance personal hygiene practices and dietary habits, particularly the utilization of distinct cutting boards and the consumption of raw fish. A WeChat official account is an accessible tool for spreading foodborne parasitic diseases related health information to the public. WeChat-based health education should be implemented to enhance public awareness regarding the prevention and control of foodborne parasitic diseases.

Large Language Models based on historical text could offer informative tools for behavioral science

Large Language Models based on historical text could offer informative tools for behavioral science

Saliva metabolomics: concepts and applications in oral disorders.

The purpose of this review was to present the basic concepts of metabolomics methodology and the use of saliva for diagnostic, prognostic, and predictive strategies. This review followed the focus in: "saliva metabolomics" and "oral diseases". The authors searched studies on PubMed database. The inclusion criteria were original studies and reviews that assessed metabolomics techniques. A descriptive analysis was performed considering the study design, approach system, clinical steps, and tools for the determination of profile or biomarkers metabolites, and the advantages and disadvantages. Metabolomic analyses use a combination of analytical instrumentation and informatic tools to provide information on metabolite characteristics. In this review we described different technologies applied and the advantages and limitations of each technique. Furthermore, in the literature search, we retrieved 25 studies that investigated saliva metabolites in oral diseases: 8 studies used targeted analysis and 17 untargeted metabolomics approaches. Most studies included patients with periodontal diseases, oral squamous cell carcinoma, and Sjögren Syndrome. The most frequently reported metabolites were glycine, leucine, phenylalanine, dipeptides, linoleic acid, arachidonic acid, tyrosine, choline, taurine, lactate, valine, and proline. Metabolomics analysis has emerged as a powerful tool for tumor diagnosis and to enhance tumor classification, including salivary gland tumors (SGTs). It also holds promise for developing personalized treatment plans and defining more precise prognostic categories. Metabolomics is the most functional and comprehensive technique for monitoring and understanding gene functions and identifying the biochemical state of an organism in response to genetic and environmental changes.

MAIN DIRECTIONS OF BANK LOANS IN CREDIT MARKET

Financial analysis in credit market and commercial banks, which have been an important factor of economy and human life and activity currently, study of financial-economic results of activity of a bank, determination of main directions of development of the bank and main factors of financial business processes, determination of purpose-oriented special knowledge and growth rates, etc. Different economic sources, internet materials have been applied as a theoretical and methodological basis. As systematization of loans in bank lending system is a theme of the research, methods such as analysis, induction and deduction have been used. Main scientific innovation that has been put forward: In this field, one of the most important issues is, certainly, organization of organization system of information issues, which have the most significant role in determining and implementation of successful demand and supply of bank loans in credit market and main directions of bank loans in credit market. Results of the research: Finding perspective improvement ways of commercial banks Development of credit system, directly improved by banks, significantly positively effects progress of country economy Information tools and technology play the most important role in improving credit market now.

Human keratinocyte response to 4,4’-methylene diphenyl diisocyanate-glutathione conjugate exposure

Workplace exposure to diisocyanates like 4,4’-methylene diphenyl diisocyanate can cause occupational asthma (MDI-OA), and the underlying biological pathways are still being researched. Although uncertainty remains, evidence supports the hypothesis that dermal exposure to MDI plays an important role in the development of MDI-OA. Gene expression, proteomics, and informatics tools were utilised to characterise changes in expression of RNA and protein in cultured human HEKa keratinocyte cells following exposure to conjugates of MDI with glutathione (MDI-GSH). RT-qPCR analysis using a panel of 39 candidate primers demonstrated 9 candidate genes upregulated and 30 unchanged. HPLC-MS/MS analysis of HEKa cell lysate identified 18 540 proteins across all samples 60 proteins demonstrate statistically significant differential expression in exposed cells, some of which suggest activation of immune and inflammatory pathways. The results support the hypothesis that dermal exposures have the potential to play an important role in the development of MDI-OA. Furthermore, proteomic and gene expression data suggest multiple immune (adaptive and innate) and inflammatory pathways may be involved in the development of MDI-OA.

Информационные системы налоговых органов как инструмент предупреждения и разрешения налоговых споров

The article reveals the stages of digital transformation of the tax authorities of the Russian Federation. The main directions for the development of information tools of tax authorities in the field of tax Diptych and pre-trial consideration and resolution of tax disputes are indicated. The structure of the central information system of tax authorities - AIS «Tax-3» and one of its applied subsystems - the information resource «Tax Disputes» is analyzed. An analysis of this information resource is presented from the point of view of the functionality of its use in constructing samples of data sets to identify the causes of tax disputes and formulate measures to eliminate them based on them. Potential directions for further modernization of the information resource «Tax Disputes» are indicated.

Artificial Intelligence Hybrid Survival Assessment System for Robot-Assisted Proctectomy: A Retrospective Cohort Study.

Robotic-assisted proctectomy (RAP) has emerged as the predominant surgical approach for patients with rectal cancer in recent years; although good postoperative patient recovery with accurate prediction is a guarantee of adaptive surveillance management, there is still a lack of easy-to-use prognostic tools and risk scores designed specifically for those patients undergoing RAP. This study used the electronic health records of 506 RAP participants, including a National Specialist Center for da Vinci Robotic Colorectal Surgery (NSCVRCS) meta cohort, and an independent external validation Sun Yat-sen Memorial Hospital cohort. In the NSCVRCS meta cohort, patients were divided into a discovery cohort (70%, n = 268), where the best-fit model was applied to model our prediction system, RAP-AIscore. Subsequently, an internal validation process for RAP-AIscore was conducted using a replication cohort (30%, n = 116). The study designed and implemented a large-scale artificial intelligence (AI) hybrid framework to identify the best strategy for building a survival assessment system, the RAP-AIscore, from 132 potential modeling scenarios through a combination of iterative cross-validation, Monte Carlo cross-validation, and bootstrap resampling. The 10 variables most relevant to clinical interpretability were identified on the basis of the AI hybrid optimal model values, which helps provide reliable prognostic survival guidance for new patients. The consistent evaluation of discrimination, calibration, generalization, and prognostic value across cohorts reaffirmed the accuracy and robust extrapolation capability of this system. The 10 feature variables most associated with clinical interpretability on the basis of Shapley values were identified, facilitating reliable prognostic survival guidance for new patients. This study introduces a promising and informative tool, the RAP-AIscore, which can be explained through nomograms for interpreting clinical outcomes. It facilitates postoperative risk stratification management and enhances clinical management of prognosis for RAP patients.

Examining The Integration Of ICT Tools In English Language Teaching: Comparative Analysis Of High School Teachers' Practices In India And Vietnam

This study explores the integration of Information and Communication Technology (ICT) tools in English language teaching practices of high school teachers in India and Vietnam. A survey with chart-based responses was distributed to 60 teachers(30 from each country) from nearby districts. The research investigates howteachers utilize ICT tools, their assessment practices, and perceived effects on student engagement and learning. The findings reveal that both countries employ ICT tools, with a focus on social media platforms, language learning applications, and online dictionaries. Vietnamese teachers demonstrated a slightly higher adoption rate, particularly for virtual reality (VR) and augmented reality (AR) technologies. While paper-based assessments remain prevalent, online tools like Google Forms and online assessment platforms are gaining traction. Teachers reported positive perceptions of ICT tools, believing they enhance student engagement and learning outcomes. However, challenges were identified, including limited access to technology resources and a lack of training on effective ICT integration. This study highlights the need for further research to directly measure the impact of ICT tools on student achievement. Additionally, it emphasizes the importance of addressing teacher training needs to unlock the full potential of ICT tools and create more engaging and effective English language learning experiences for students.

Toward a public outreach and community engagement strategy on cancer in Newfoundland and Labrador: an initial road map and recommendations

Abstract Background: The province of Newfoundland and Labrador has one of the highest incidence and mortality rates for cancer among the Canadian provinces. Sharing accessible knowledge on cancer is an important part of cancer control and population health efforts. However, bringing useful health information and knowledge exchange events to residents requires an efficient and accessible system. Objectives: We aimed to create a road map and recommendations for effective public outreach and community engagement on cancer in Newfoundland and Labrador. Methods: We used the following information, experience, or public engagement tools to gather information to inform our work: discussions with the members of the Public Interest Group on Cancer Research, researchers' experiences with recruitment and knowledge translation activities, feedback provided to 2 public conferences delivered (Public Conference on Genetics delivered in 2020 and Public Conference on Cancer delivered in 2022—where the target audience was general public), and 2 public town halls (one in-person, one virtual) and 2 individual consultation sessions with key stakeholders. Information gathered was then summarized. Results: We identified a rich set of cancer-related topics for which to organize public events on cancer. In addition, a large number of public outreach and engagement options were identified, emphasizing the fragmented, inefficient, and resource-intensive nature of public outreach and community engagement efforts in the province. Based on the information collected, we developed an initial road map and recommendations to inform future public engagement activities and strategies. In addition, our group has started to implement the road map for our current and future public engagement activities. Conclusions: We present key cancer-related topics that are of public interest and issues and opportunities for recruitment and delivery of knowledge and events to residents of Newfoundland and Labrador. This information can be useful for researchers, organizations, and the health care system in the province. However, more inclusive consultations, larger collaborations, funding, and systematic data collection are needed to build a province-wide public outreach network on cancer and to identify more comprehensive public engagement options. The work presented here can potentially guide these efforts. Our work is also expected to inspire other provinces, states, and communities to assess their public outreach status and help develop road maps co-led by patients to progress their public engagement efforts in cancer.

A-233 Update to the Cutaneous Lymphoma Application (CLApp v2.0) on iPhone. A resource tool for information and training for healthcare professionals

A-233 Update to the Cutaneous Lymphoma Application (CLApp v2.0) on iPhone. A resource tool for information and training for healthcare professionals