The integration of digital tools and effective knowledge management practices is critical for enhancing administrative efficiency and institutional continuity in higher education. This study investigates the relations...The integration of digital tools and effective knowledge management practices is critical for enhancing administrative efficiency and institutional continuity in higher education. This study investigates the relationships between knowledge modeling, institutional memory, leadership styles, technology, and administrative efficiency at the University of Cape Coast (UCC). The study sought to identify the challenges and opportunities in integrating digital tools into administrative processes and to provide actionable recommendations for improvement. A mixed-methods research design was employed, combining quantitative analysis using Partial Least Squares Structural Equation Modeling (PLS-SEM) with qualitative thematic analysis of interviews. The findings revealed key challenges, including resistance to change, fragmented knowledge repositories, and inadequate funding, alongside opportunities such as centralized knowledge systems, cost-effective open-source tools, and capacity-building initiatives. The study highlights the importance of strategic leadership, robust policies, and investments in digital infrastructure to enhance administrative practices. Policy implications include the need for clear digital transformation guidelines and leadership training to foster innovation and collaboration. Recommendations include investing in scalable digital tools, implementing comprehensive capacity-building programs, and promoting stakeholder engagement to drive successful digital integration. These insights provide a roadmap for UCC and similar institutions seeking to optimize administrative efficiency through digital transformation.展开更多
Background: Blood transfusion (BT) is crucial to the provision of modern health care. However, blood is scarce and costly, and its use is associated with risks. Therefore, the medical professionals who handle it shoul...Background: Blood transfusion (BT) is crucial to the provision of modern health care. However, blood is scarce and costly, and its use is associated with risks. Therefore, the medical professionals who handle it should have adequate knowledge to ensure rational and safe utilization. The objective of the study was to determine the level of BT knowledge among junior medical doctors in Kenya. Methodology: A cross-sectional study was conducted among junior medical doctors working in Western Kenya. Data was collected using questionnaires from August 2021 to March 2022, and analysis was done by way of descriptive and inferential statistics. A p Results: A total of 150 medical doctors participated in the study. Males comprised 60% (n = 90), and the mean age of the participants was 29.9 (SD 3.6) with a range of 25 - 45 years. The mean knowledge score was 54.1% ± 16.4% and was associated with orientation (AOR = 3.157, 95% CI = 1.194 - 8.337). Conclusion: Blood transfusion knowledge among the doctors was suboptimal and was associated with pre-internship induction. There is a need for additional education in BT during all phases of medical training and practice, including orientation for medical interns.展开更多
In the field of intelligent education,the integration of artificial intelligence,especially deep learning technologies,has garnered significant attention.Knowledge tracing(KT)plays a pivotal role in this field by pred...In the field of intelligent education,the integration of artificial intelligence,especially deep learning technologies,has garnered significant attention.Knowledge tracing(KT)plays a pivotal role in this field by predicting students’future performance through the analysis of historical interaction data,thereby assisting educators in evaluating knowledgemastery and tailoring instructional strategies.Traditional knowledge tracingmethods,largely based on Recurrent Neural Networks(RNNs)and Transformer models,primarily focus on capturing long-term interaction patterns in sequential data.However,these models may neglect crucial short-term dynamics and other relevant features.This paper introduces a novel approach to knowledge tracing by leveraging a pure Multilayer Perceptron(MLP)architecture.We proposeMixerKT,a knowledge tracing model based on theHyperMixer framework,which uniquely integrates global and localMixer feature extractors.This architecture enables more effective extraction of both long-terminteraction trends and recent learning behaviors,addressing limitations in currentmodels thatmay overlook these key aspects.Empirical evaluations on twowidely-used datasets,ASSIS Tments2009 and Algebra2005,demonstrate that MixerKT consistently outperforms several state-of-the-art models,including DKT,SAKT,and Separated Self-Attentive Neural Knowledge Tracing(SAINT).Specifically,MixerKT achieves higher prediction accuracy,highlighting its effectiveness in capturing the nuances of learners’knowledge states.These results indicate that our model provides a more comprehensive representation of student learning patterns,enhancing the ability to predict future performance with greater precision.展开更多
BACKGROUND Monkeypox(Mpox),is a disease of global public health concern,as it does not affect only countries in western and central Africa.AIM To assess Burundi healthcare workers(HCWs)s’level of knowledge and confid...BACKGROUND Monkeypox(Mpox),is a disease of global public health concern,as it does not affect only countries in western and central Africa.AIM To assess Burundi healthcare workers(HCWs)s’level of knowledge and confidence in the diagnosis and management of Mpox.METHODS We conducted a cross-sectional study via an online survey designed mainly from the World Health Organization course distributed among Burundi HCWs from June-July 2023.The questionnaire comprises 8 socioprofessional-related questions,22 questions about Mpox disease knowledge,and 3 questions to assess confidence in Mpox diagnosis and management.The data were analyzed via SPSS software version 25.0.A P value<0.05 was considered to indicate statistical significance.RESULTS The study sample comprised 471 HCWs who were mainly medical doctors(63.9%)and nurses(30.1%).None of the 22 questions concerning Mpox knowledge had at least 50%correct responses.A very low number of HCWs(17.4%)knew that Mpox has a vaccine.The confidence level to diagnose(21.20%),treat(18.00%)or prevent(23.30%)Mpox was low among HCWs.The confidence level in the diagnosis of Mpox was associated with the HCWs’age(P value=0.009),sex(P value<0.001),work experience(P value=0.002),and residence(P value<0.001).The confidence level to treat Mpox was significantly associated with the HCWs’age(P value=0.050),sex(P value<0.001),education(P value=0.033)and occupation(P value=0.005).The confidence level to prevent Mpox was associated with the HCWs’education(P value<0.001),work experience(P value=0.002),residence(P value<0.001)and type of work institution(P value=0.003).CONCLUSION This study revealed that HCWs have the lowest level of knowledge regarding Mpox and a lack of confidence in the ability to diagnose,treat or prevent it.There is an urgent need to organize continuing medical education programs on Mpox epidemiology and preparedness for Burundi HCWs.We encourage future researchers to assess potential hesitancy toward Mpox vaccination and its associated factors.展开更多
Introduction: Breastfeeding is the best way to provide ideal nutrition for optimal infant growth and development. Objectives: The aim of our work was to assess the knowledge, attitudes and practices of mothers of chil...Introduction: Breastfeeding is the best way to provide ideal nutrition for optimal infant growth and development. Objectives: The aim of our work was to assess the knowledge, attitudes and practices of mothers of children aged 0 - 24 months on exclusive breastfeeding in the Central African Republic. Methods: This was a cross-sectional, descriptive and analytical study conducted from September 15 to October 15, 2024 among mothers of infants aged 0 to 24 months. Sociodemographic, obstetric and breastfeeding-related data were collected through individual interviews conducted during sensitizations on good feeding practices organized by the Tina Touadera Foundation. The chi2 test was used to test for relationships between variables, and the p significance level was set at 0.05. Results: The average age of the mothers surveyed was 27.67 years. 65.69% (n = 247) of mothers lived in urban areas and 55.85% (n = 210) were Muslim. 56.38% (n = 212) were living common-law and 34.04% (n = 128) were poor. Secondary-school mothers (44.42%, n = 167) and housewives (53.72%, n = 202) were in the majority. Exclusive breastfeeding (EBF) was correctly defined by 79.26% (n = 298) of mothers and actually practised in 24.20% (n = 91) of cases. The main source of information was a health professional in 75.36% (n = 304) of cases. Among the 285 mothers who practised mixed breastfeeding, lack of time (33.33%) was the main reason. They acknowledged having given water (100%), corn porridge (75.09%) and/or artificial milk (24.91%) before the first 6 months of life. The average time for introducing water was 2.2 months, and for porridge/formula 2.79 months. More than half the mothers (55.05%) said they did not know their infants’ weaning age. Factors positively influencing the use of EBF were age under 29, residence in an urban area, primiparity, having been informed about AME by a health professional, and being a housewife or shopkeeper (p Conclusion: Mothers’ level of knowledge was heterogeneous but insufficient overall. An effective system of information and education from pregnancy to the first six months of life is needed to promote breastfeeding.展开更多
Objective:This study aimed to explore undergraduates’knowledge,attitude,and practice/behavior of human papillomavirus(HPV)vaccination,as well as the essential influencing factors for vaccination decision-making.Metho...Objective:This study aimed to explore undergraduates’knowledge,attitude,and practice/behavior of human papillomavirus(HPV)vaccination,as well as the essential influencing factors for vaccination decision-making.Methods:Through cluster and convenience sampling,2000 undergraduates from the Nursing and Language department of a university in Shanghai were sent a self-designed questionnaire.Chi-square tests,independent sample t-test/ANOVE,and multiple linear regression were used to investigate participants’knowledge and attitude on HPV vaccination,as well as the factors that predicted potential action to receive and promote HPV vaccination in the future.Results:The mean HPV knowledge score was 5.027 out of 10.Health science students showed a significantly higher knowledge mean score than the non-health science students(P<0.000).There was a statistically difference in HPV vaccination attitude among undergraduates in different grades(P<0.05).Awareness of cervical cancer and worries about the risk of cervical cancer were the significant predictors of willingness to receive and promote HPV vaccination in the future.Conclusions:It would take time for a new health product to be aware,understood,accepted,and received.Education providing and information sharing are expected to break the dawn and make the procedure processed.展开更多
BACKGROUND Breast cancer is one of the most prevalent causes of morbidity and mortality worldwide,presenting an increasing public health challenge,particularly in lowincome and middle-income countries.However,data on ...BACKGROUND Breast cancer is one of the most prevalent causes of morbidity and mortality worldwide,presenting an increasing public health challenge,particularly in lowincome and middle-income countries.However,data on the knowledge,attitudes,and preventive practices regarding breast cancer and the associated factors among females in Wollo,Ethiopia,remain limited.AIM To assess the impact of family history(FH)of breast disease on knowledge,attitudes,and breast cancer preventive practices among reproductive-age females.METHODS A community-based cross-sectional study was conducted in May and June 2022 in Northeast Ethiopia and involved 143 reproductive-age females with FH of breast diseases and 209 without such a history.We selected participants using the systematic random sampling technique.We analyzed the data using Statistical Package for Social Science version 25 software,and logistic regression analysis was employed to determine odds ratios for variable associations,with statistical significance set at P<0.05.RESULTS Among participants with FH of breast diseases,the levels of knowledge,attitudes,and preventive practices were found to be 83.9%[95%confidence interval(CI):77.9-89.9],49.0%(95%CI:40.8-57.1),and 74.1%(95%CI:66.9-81.3),respectively.In contrast,among those without FH of breast diseases,these levels were significantly decreased to 10.5%(95%CI:6.4-14.7),32.1%(95%CI:25.7-38.4),and 16.7%(95%CI:11.7-21.8),respectively.This study also indicated that knowledge,attitudes,and preventive practices related to breast cancer are significantly higher among participants with FH of breast diseases compared to those without HF breast diseases.CONCLUSION Educational status,monthly income,and community health insurance were identified as significant factors associated with the levels of knowledge,attitudes,and preventive practices regarding breast cancer among reproductive-age females.展开更多
Background: Hepatitis B virus (HBV) is a primary reason for liver cancer and continues to be a worldwide public health issue. The likelihood of contracting HBV is greater in healthcare workers (HCWs) compared to indiv...Background: Hepatitis B virus (HBV) is a primary reason for liver cancer and continues to be a worldwide public health issue. The likelihood of contracting HBV is greater in healthcare workers (HCWs) compared to individuals who are not in healthcare professions. Medical students are classified as a high-risk demographic since, like HCWs, they often come into contact with bodily fluids and blood during their clinical training. By 2030, a greater proportion of people will have received HBV vaccinations, thereby halting the spread of new infections—The Somali Ministry of Health with the help of various agencies announced to eradicate hepatitis from Somalia. The priority actions are national hepatitis strategy, hepatitis survey, public awareness, training, and capacity building. Objectives: This study aims to assess the knowledge, attitude, and vaccination status of Hepatitis B infection among medical university students in Mogadishu, Somalia, 2024. Methods: Cross-sectional study design was used in this study and the survey was carried out among medical students enrolled in Universities from April 1, 2023 to June 30, 2023. The data was analyzed using SPSS version 26.0 software, Chi-square analysis and Logistic regression analysis to identify associations between demographic factors and HBV knowledge, attitudes, and vaccination status, as well as perspectives and immunization status concerning viral hepatitis. Results: The study achieved a response rate of (96%), with 230 participants. Most students (76.5%) were aged 26 - 30 years, and (60.8%) were male. Nearly half (48.7%) were in their third year of study, and the majority (36.1%) were from the Medicine and Surgery department. While 92.2% had heard of HBV, gaps in understanding were evident. About 37.8% erroneously believed HBV could spread via handshakes, and only 33.9% were aware HBV is treatable. Awareness of HBV’s severe complications, such as liver cirrhosis and liver cancer, was reported by 61.3%, and 83% understood that vaccination could prevent infection. Positive attitudes towards HBV vaccination were prevalent. Most participants (81.3%) supported vaccination before sexual activity, and 78.3% endorsed mandatory HBV vaccination policies for healthcare workers. However, 87.4% expressed concerns about the vaccine promoting unsafe sexual behavior, and 96.1% cited cultural resistance as a barrier to vaccination. A significant proportion (80.86%) of students had not been vaccinated against HBV. Among vaccinated students, 17.4%, 15.7%, and 47.82% had received one, two, and three doses, respectively. Barriers to vaccination included safety concerns (77.4%), lack of time (86.52%), and doubts about efficacy (42.61%). Conclusion: This study highlights gaps in knowledge and vaccination coverage among medical students, which are critical for their health and future clinical practice. Enhancing awareness and vaccination rates can empower students to advocate for preventative measures in their professional environments. Despite high awareness of HBV, knowledge gaps and cultural barriers persist, affecting attitudes and vaccination uptake among medical students. Educational interventions addressing misconceptions, cultural resistance, and vaccine safety are critical. Increased advocacy for mandatory vaccination policies in healthcare settings is also essential to improve HBV prevention methods.展开更多
Schistosomiasis is a neglected tropical disease (NTD) widespread in sub-Saharan Africa and mostly affects school going children. Côte d’Ivoire is one of the most vulnerable countries to schistosomiasis, and its ...Schistosomiasis is a neglected tropical disease (NTD) widespread in sub-Saharan Africa and mostly affects school going children. Côte d’Ivoire is one of the most vulnerable countries to schistosomiasis, and its prevalence varies by region. This cross-sectional survey was conducted in schools in the Upper Sassandra region to determine the knowledge, attitude, and practices of school children regarding schistosomiasis. In total, 354 students participated in the survey. Our results showed that, compared to the girls, the boys had a higher level of knowledge about schistosomiasis OR = 1.605 and p = 0.05. Regarding the signs, symptoms, and modes of transmission and prevention of schistosomiasis, the participants reported a low level of knowledge p > 0.05 and OR 1. In conclusion, it is important to target health messages in schools to reach the most vulnerable students effectively. This initiative aims to provide children with basic knowledge and skills in the transmission of schistosomiasis.展开更多
The global rise in animal protein consumption has significantly amplified the demand for fodder.A comprehensive understanding of the diversity and characteristics of existing fodder resources is essential for balanced...The global rise in animal protein consumption has significantly amplified the demand for fodder.A comprehensive understanding of the diversity and characteristics of existing fodder resources is essential for balanced nutritional fodder production.This study investigates the diversity and composition of fodder plants and identifies key species for cattle in Zhaotong City,Yunnan,China,while documenting indigenous knowledge on their usage and selection criteria.Ethnobotanical surveys were conducted in 19 villages across seven townships with 140 informants.Data were collected through semi-structured interviews,free listing,and participatory observation,and analyzed using Relative Frequency Citation.A total of 125 taxa(including 106 wild and 19 cultivated)were reported.The most cited family is Poaceae(27 taxa,21.43%),followed by Asteraceae(17 taxa,13.49%),Fabaceae(14 taxa,11.11%),Polygonaceae(9 taxa,7.14%)and Lamiaceae(4 taxa,3.17%).The whole plant(66.04%)and herbaceous plants(84.80%)were the most used parts and life forms.The most cited species were Zea mays,Brassica rapa,Solanum tuberosum,Eragrostis nigra,and Artemisia dubia.Usage of diverse fodder resources reflects local wisdom in managing resource availability and achieving balanced nutrition while coping with environmental and climatic risks.Preferences for certain taxonomic groups are due to their quality as premier fodder resources.To promote integrated crop-livestock farming,we suggest further research into highly preferred fodder species,focusing on nutritional assessment,digestibility,meat quality impacts,and potential as antibiotic alternatives.Establishing germplasm and gene banks for fodder resources is also recommended.展开更多
Non-communicable diseases (NCDs) are on the rise worldwide and in developing countries like Botswana. Unhealthy eating habits and lack of proper nutrition knowledge cause non-communicable diseases and affect adolescen...Non-communicable diseases (NCDs) are on the rise worldwide and in developing countries like Botswana. Unhealthy eating habits and lack of proper nutrition knowledge cause non-communicable diseases and affect adolescents. It is in adolescence that eating habits are formed that persist till adulthood. Lifestyle interventions are needed to curb NCDs in adolescents. This paper reports the findings of a study that aimed to validate a lifestyle intervention program and its effect on food intake, physical activity, and nutrition knowledge. It was a clustered randomized control trial study conducted in four (4) junior secondary schools. There were 46 participants, 21 in the control and 25 in the intervention arm, who were blindly assigned to each arm by a statistician. Information and skills on nutrition were imparted using the Information, Motivation, and Behavioral Skills model. The program was implemented for eight (8) weeks hourly after school. A questionnaire was used to collect data pre- and post-intervention. Number, proportion, percentage, and independent t-test (mean and SD or median and IQR, p-value) were calculated using numerical and categorical data. The findings showed that the lifestyle intervention was valid, and there was a slight decrease in the intake of sweets among participants in both trial arms (p = 0.066). There was no significant difference in terms of food intake. Only a small number of participants still ate a few fruits, and there was no change in vegetable intake in both trial arms (p = 0.641). There was no change in the intake of fried foods in both trail arms (p = 0.402). Regarding nutrition knowledge, there was a slight significant difference of p = 0.079 between the trial arms. Though the effect of the lifestyle intervention program was not statistically significant, the results are promising, especially if the duration could be increased to a longer period and a larger sample size included.展开更多
Artificial Intelligence(AI)has revolutionized education by enabling personalized learning experiences through adaptive platforms.However,traditional AI-driven systems primarily rely on correlation-based analytics,lim-...Artificial Intelligence(AI)has revolutionized education by enabling personalized learning experiences through adaptive platforms.However,traditional AI-driven systems primarily rely on correlation-based analytics,lim-iting their ability to uncover the causal mechanisms behind learning outcomes.This study explores the in-tegration of Knowledge Graphs(KGs)and Causal Inference(CI)as a novel approach to enhance AI-driven educational systems.KGs provide a structured representation of educational knowledge,facilitating intelligent content recommendations and adaptive learning pathways,while CI enables AI systems to move beyond pattern recognition to identify cause-and-effect relationships in student learning.By combining these methods,this research aims to optimize personalized learning path recommendations,improve educational decision-making,and ensure AI-driven interventions are both data-informed and causally validated.Case studies from real-world applications,including intelligent tutoring systems and MOOC platforms,illustrate the practical impact of this approach.The findings contribute to advancing AI-driven education by fostering a balance between knowledge modeling,adaptability,and empirical rigor.展开更多
Introduction: Uterine fibroids are benign tumors that develop from the connective and muscular tissues of the uterus. Common among African-American women, patients suffering from them often arrive late to the hospital...Introduction: Uterine fibroids are benign tumors that develop from the connective and muscular tissues of the uterus. Common among African-American women, patients suffering from them often arrive late to the hospital in our African regions. This study aimed to investigate the knowledge and perception of uterine fibroids among women who came to the gynecology-obstetrics department of the Regional Hospital Center (CHR) Tsévié. Methodology: It was a cross-sectional descriptive study, with data collection conducted from May 7th to 20th, 2024, using systematic sampling. The study included all women present in the Gynecology-Obstetrics Department of CHR Tsévié during the study period who willingly and informedly consented to participate in the survey. Results: 362 women participated in the study. Among them, 36.8% had a secondary level, and 72.9% were Christians. About 97.5% had heard of uterine fibroids. In 63.5% of cases, their entourage was the principal source of information. The diagnostic methods mentioned by the women were ultrasound in 94.6% of cases, while prayers and occultism were also cited in 28% and 33.3% of cases, respectively. While 91.9% of the women considered the hospital, the place for treatment, some indicated that treatment would require plant-based approaches (46.8%) and prayers (26%). The cost of treatment was an obstacle for 85.4% of women, and 61.3% expressed fear of dying during surgery. There was a statistically significant relationship between treatment choice and religion. Conclusion: The majority of women had heard of uterine fibroids but had incorrect information about the treatment.展开更多
After the design of aerospace products is completed,a manufacturability assessment needs to be conducted based on 3D model's features in terms of modeling quality and process design,otherwise the cost of design ch...After the design of aerospace products is completed,a manufacturability assessment needs to be conducted based on 3D model's features in terms of modeling quality and process design,otherwise the cost of design changes will increase.Due to the poor structure and low reusability of product manufacturing feature information and assessment knowledge in the current aerospace product manufacturability assessment process,it is difficult to realize automated manufacturability assessment.To address these issues,a domain ontology model is established for aerospace product manufacturability assessment in this paper.On this basis,a structured representation method of manufacturability assessment knowledge and a knowledge graph data layer construction method are proposed.Based on the semantic information and association information expressed by the knowledge graph,a rule matching method based on subgraph matching is proposed to improve the precision and recall.Finally,applications and experiments based on the software platform verify the effectiveness of the proposed knowledge graph construction and rule matching method.展开更多
In the context of power generation companies, vast amounts of specialized data and expert knowledge have been accumulated. However, challenges such as data silos and fragmented knowledge hinder the effective utilizati...In the context of power generation companies, vast amounts of specialized data and expert knowledge have been accumulated. However, challenges such as data silos and fragmented knowledge hinder the effective utilization of this information. This study proposes a novel framework for intelligent Question-and-Answer (Q&A) systems based on Retrieval-Augmented Generation (RAG) to address these issues. The system efficiently acquires domain-specific knowledge by leveraging external databases, including Relational Databases (RDBs) and graph databases, without additional fine-tuning for Large Language Models (LLMs). Crucially, the framework integrates a Dynamic Knowledge Base Updating Mechanism (DKBUM) and a Weighted Context-Aware Similarity (WCAS) method to enhance retrieval accuracy and mitigate inherent limitations of LLMs, such as hallucinations and lack of specialization. Additionally, the proposed DKBUM dynamically adjusts knowledge weights within the database, ensuring that the most recent and relevant information is utilized, while WCAS refines the alignment between queries and knowledge items by enhanced context understanding. Experimental validation demonstrates that the system can generate timely, accurate, and context-sensitive responses, making it a robust solution for managing complex business logic in specialized industries.展开更多
In the international shipping industry, digital intelligence transformation has become essential, with both governments and enterprises actively working to integrate diverse datasets. The domain of maritime and shippi...In the international shipping industry, digital intelligence transformation has become essential, with both governments and enterprises actively working to integrate diverse datasets. The domain of maritime and shipping is characterized by a vast array of document types, filled with complex, large-scale, and often chaotic knowledge and relationships. Effectively managing these documents is crucial for developing a Large Language Model (LLM) in the maritime domain, enabling practitioners to access and leverage valuable information. A Knowledge Graph (KG) offers a state-of-the-art solution for enhancing knowledge retrieval, providing more accurate responses and enabling context-aware reasoning. This paper presents a framework for utilizing maritime and shipping documents to construct a knowledge graph using GraphRAG, a hybrid tool combining graph-based retrieval and generation capabilities. The extraction of entities and relationships from these documents and the KG construction process are detailed. Furthermore, the KG is integrated with an LLM to develop a Q&A system, demonstrating that the system significantly improves answer accuracy compared to traditional LLMs. Additionally, the KG construction process is up to 50% faster than conventional LLM-based approaches, underscoring the efficiency of our method. This study provides a promising approach to digital intelligence in shipping, advancing knowledge accessibility and decision-making.展开更多
Dear Colleagues,It is my distinct honor to serve as the Honorary Chief Editor of AMEM,an international open-access journal,dedicated to serve as a platform for international exchange,and the translation of research ou...Dear Colleagues,It is my distinct honor to serve as the Honorary Chief Editor of AMEM,an international open-access journal,dedicated to serve as a platform for international exchange,and the translation of research outcomes in the field of life sciences.AMEM strives to establish itself as a high-level international academic exchange platform that brings together scientific wisdom from around the world and offers a prestigious journal for presenting research findings,and disseminating state of the art knowledge in the vibrant fields of life sciences.展开更多
BACKGROUND Ischemic bowel disease(IBD)is a critical condition caused by reduced blood flow to the intestines,leading to tissue damage and potentially severe complications.Early recognition and timely management are es...BACKGROUND Ischemic bowel disease(IBD)is a critical condition caused by reduced blood flow to the intestines,leading to tissue damage and potentially severe complications.Early recognition and timely management are essential for improving patient outcomes and reducing morbidity and mortality associated with IBD.AIM To evaluate the knowledge,attitude and practice(KAP)of healthcare professionals regarding IBD.METHODS This cross-sectional study was conducted among healthcare professionals in China from November 2023 to December 2023 using a self-designed questionnaire.RESULTS A total of 315 valid questionnaires were analyzed,with 215 participants(68.25%)being female.The mean KAP scores were 17.55±5.35(range:0-24),27.65±2.77(range:8-40),and 18.88±4.23(range:6-30),respectively.Multivariate linear regression analysis revealed the following factors to be independently associated with knowledge:Age 26-35 years(β=2.80,95%CI:0.31-5.30,P=0.028),professional title(β=2.66,95%CI:0.91-4.41,P=0.003),position(β=-3.78,95%CI:-5.45 to-2.11,P<0.001),participation in IBD-related training(β=3.45,95%CI:2.39-4.51,P<0.001),and admission of more than five IBD cases in the past month(β=3.25,95%CI:1.58-4.92,P<0.001).Attitude was independently associated with knowledge(β=0.20,95%CI:0.15-0.26,P<0.001)and being a nurse or nursing supervisor(β=-1.30,95%CI:-2.16 to-0.40,P=0.003).Practice was independently associated with knowledge(β=0.20,95%CI:0.10-0.30,P<0.001)and attitude(β=0.24,95%CI:0.06-0.42,P=0.007).Structural equation modeling demonstrated direct effects of knowledge on attitude(β=0.24,P<0.001)and practice(β=0.26,P<0.001),as well as of attitude on practice(β=0.22,P=0.012).CONCLUSION Healthcare professionals demonstrated adequate knowledge but moderate attitude and inactive practice regarding IBD.Addressing the gaps in attitude and practice through targeted training programs and interventions is essential for improving patient care and outcomes.展开更多
Objective: To develop a best-evidence-based optimal nutrition management plan for patients with chronic heart failure, apply it in clinical practice, and evaluate its effectiveness. Methods: Use the KTA knowledge tran...Objective: To develop a best-evidence-based optimal nutrition management plan for patients with chronic heart failure, apply it in clinical practice, and evaluate its effectiveness. Methods: Use the KTA knowledge translation model to guide evidence-based practice in nutrition management, and compare the nutritional status, cardiac function status, quality of life, and quality review indicators of chronic heart failure patients before and after the application of evidence. Results: After the application of evidence, the nutritional status indicators (MNA-SF score, albumin, hemoglobin) of two groups of heart failure patients significantly increased compared to before the application of evidence, with statistically significant differences (p Conclusion: The KTA knowledge translation model provides methodological guidance for the implementation of evidence-based practice for heart failure patients. This evidence-based practice project is beneficial for improving the outcomes of malnutrition in chronic heart failure patients and is conducive to standardizing nursing pathways, thereby promoting the improvement of nursing quality.展开更多
The cost and strict input format requirements of GraphRAG make it less efficient for processing large documents. This paper proposes an alternative approach for constructing a knowledge graph (KG) from a PDF document ...The cost and strict input format requirements of GraphRAG make it less efficient for processing large documents. This paper proposes an alternative approach for constructing a knowledge graph (KG) from a PDF document with a focus on simplicity and cost-effectiveness. The process involves splitting the document into chunks, extracting concepts within each chunk using a large language model (LLM), and building relationships based on the proximity of concepts in the same chunk. Unlike traditional named entity recognition (NER), which identifies entities like “Shanghai”, the proposed method identifies concepts, such as “Convenient transportation in Shanghai” which is found to be more meaningful for KG construction. Each edge in the KG represents a relationship between concepts occurring in the same text chunk. The process is computationally inexpensive, leveraging locally set up tools like Mistral 7B openorca instruct and Ollama for model inference, ensuring the entire graph generation process is cost-free. A method of assigning weights to relationships, grouping similar pairs, and summarizing multiple relationships into a single edge with associated weight and relation details is introduced. Additionally, node degrees and communities are calculated for node sizing and coloring. This approach offers a scalable, cost-effective solution for generating meaningful knowledge graphs from large documents, achieving results comparable to GraphRAG while maintaining accessibility for personal machines.展开更多
文摘The integration of digital tools and effective knowledge management practices is critical for enhancing administrative efficiency and institutional continuity in higher education. This study investigates the relationships between knowledge modeling, institutional memory, leadership styles, technology, and administrative efficiency at the University of Cape Coast (UCC). The study sought to identify the challenges and opportunities in integrating digital tools into administrative processes and to provide actionable recommendations for improvement. A mixed-methods research design was employed, combining quantitative analysis using Partial Least Squares Structural Equation Modeling (PLS-SEM) with qualitative thematic analysis of interviews. The findings revealed key challenges, including resistance to change, fragmented knowledge repositories, and inadequate funding, alongside opportunities such as centralized knowledge systems, cost-effective open-source tools, and capacity-building initiatives. The study highlights the importance of strategic leadership, robust policies, and investments in digital infrastructure to enhance administrative practices. Policy implications include the need for clear digital transformation guidelines and leadership training to foster innovation and collaboration. Recommendations include investing in scalable digital tools, implementing comprehensive capacity-building programs, and promoting stakeholder engagement to drive successful digital integration. These insights provide a roadmap for UCC and similar institutions seeking to optimize administrative efficiency through digital transformation.
文摘Background: Blood transfusion (BT) is crucial to the provision of modern health care. However, blood is scarce and costly, and its use is associated with risks. Therefore, the medical professionals who handle it should have adequate knowledge to ensure rational and safe utilization. The objective of the study was to determine the level of BT knowledge among junior medical doctors in Kenya. Methodology: A cross-sectional study was conducted among junior medical doctors working in Western Kenya. Data was collected using questionnaires from August 2021 to March 2022, and analysis was done by way of descriptive and inferential statistics. A p Results: A total of 150 medical doctors participated in the study. Males comprised 60% (n = 90), and the mean age of the participants was 29.9 (SD 3.6) with a range of 25 - 45 years. The mean knowledge score was 54.1% ± 16.4% and was associated with orientation (AOR = 3.157, 95% CI = 1.194 - 8.337). Conclusion: Blood transfusion knowledge among the doctors was suboptimal and was associated with pre-internship induction. There is a need for additional education in BT during all phases of medical training and practice, including orientation for medical interns.
基金supported by National Natural Science Foundation of China(Nos.62266054 and 62166050)Key Program of Fundamental Research Project of Yunnan Science and Technology Plan(No.202201AS070021)+2 种基金Yunnan Fundamental Research Projects(No.202401AT070122)Yunnan International Joint Research and Development Center of China-Laos-Thailand Educational Digitalization(No.202203AP140006)Scientific Research Foundation of Yunnan Provincial Department of Education(No.2024Y159).
文摘In the field of intelligent education,the integration of artificial intelligence,especially deep learning technologies,has garnered significant attention.Knowledge tracing(KT)plays a pivotal role in this field by predicting students’future performance through the analysis of historical interaction data,thereby assisting educators in evaluating knowledgemastery and tailoring instructional strategies.Traditional knowledge tracingmethods,largely based on Recurrent Neural Networks(RNNs)and Transformer models,primarily focus on capturing long-term interaction patterns in sequential data.However,these models may neglect crucial short-term dynamics and other relevant features.This paper introduces a novel approach to knowledge tracing by leveraging a pure Multilayer Perceptron(MLP)architecture.We proposeMixerKT,a knowledge tracing model based on theHyperMixer framework,which uniquely integrates global and localMixer feature extractors.This architecture enables more effective extraction of both long-terminteraction trends and recent learning behaviors,addressing limitations in currentmodels thatmay overlook these key aspects.Empirical evaluations on twowidely-used datasets,ASSIS Tments2009 and Algebra2005,demonstrate that MixerKT consistently outperforms several state-of-the-art models,including DKT,SAKT,and Separated Self-Attentive Neural Knowledge Tracing(SAINT).Specifically,MixerKT achieves higher prediction accuracy,highlighting its effectiveness in capturing the nuances of learners’knowledge states.These results indicate that our model provides a more comprehensive representation of student learning patterns,enhancing the ability to predict future performance with greater precision.
文摘BACKGROUND Monkeypox(Mpox),is a disease of global public health concern,as it does not affect only countries in western and central Africa.AIM To assess Burundi healthcare workers(HCWs)s’level of knowledge and confidence in the diagnosis and management of Mpox.METHODS We conducted a cross-sectional study via an online survey designed mainly from the World Health Organization course distributed among Burundi HCWs from June-July 2023.The questionnaire comprises 8 socioprofessional-related questions,22 questions about Mpox disease knowledge,and 3 questions to assess confidence in Mpox diagnosis and management.The data were analyzed via SPSS software version 25.0.A P value<0.05 was considered to indicate statistical significance.RESULTS The study sample comprised 471 HCWs who were mainly medical doctors(63.9%)and nurses(30.1%).None of the 22 questions concerning Mpox knowledge had at least 50%correct responses.A very low number of HCWs(17.4%)knew that Mpox has a vaccine.The confidence level to diagnose(21.20%),treat(18.00%)or prevent(23.30%)Mpox was low among HCWs.The confidence level in the diagnosis of Mpox was associated with the HCWs’age(P value=0.009),sex(P value<0.001),work experience(P value=0.002),and residence(P value<0.001).The confidence level to treat Mpox was significantly associated with the HCWs’age(P value=0.050),sex(P value<0.001),education(P value=0.033)and occupation(P value=0.005).The confidence level to prevent Mpox was associated with the HCWs’education(P value<0.001),work experience(P value=0.002),residence(P value<0.001)and type of work institution(P value=0.003).CONCLUSION This study revealed that HCWs have the lowest level of knowledge regarding Mpox and a lack of confidence in the ability to diagnose,treat or prevent it.There is an urgent need to organize continuing medical education programs on Mpox epidemiology and preparedness for Burundi HCWs.We encourage future researchers to assess potential hesitancy toward Mpox vaccination and its associated factors.
文摘Introduction: Breastfeeding is the best way to provide ideal nutrition for optimal infant growth and development. Objectives: The aim of our work was to assess the knowledge, attitudes and practices of mothers of children aged 0 - 24 months on exclusive breastfeeding in the Central African Republic. Methods: This was a cross-sectional, descriptive and analytical study conducted from September 15 to October 15, 2024 among mothers of infants aged 0 to 24 months. Sociodemographic, obstetric and breastfeeding-related data were collected through individual interviews conducted during sensitizations on good feeding practices organized by the Tina Touadera Foundation. The chi2 test was used to test for relationships between variables, and the p significance level was set at 0.05. Results: The average age of the mothers surveyed was 27.67 years. 65.69% (n = 247) of mothers lived in urban areas and 55.85% (n = 210) were Muslim. 56.38% (n = 212) were living common-law and 34.04% (n = 128) were poor. Secondary-school mothers (44.42%, n = 167) and housewives (53.72%, n = 202) were in the majority. Exclusive breastfeeding (EBF) was correctly defined by 79.26% (n = 298) of mothers and actually practised in 24.20% (n = 91) of cases. The main source of information was a health professional in 75.36% (n = 304) of cases. Among the 285 mothers who practised mixed breastfeeding, lack of time (33.33%) was the main reason. They acknowledged having given water (100%), corn porridge (75.09%) and/or artificial milk (24.91%) before the first 6 months of life. The average time for introducing water was 2.2 months, and for porridge/formula 2.79 months. More than half the mothers (55.05%) said they did not know their infants’ weaning age. Factors positively influencing the use of EBF were age under 29, residence in an urban area, primiparity, having been informed about AME by a health professional, and being a housewife or shopkeeper (p Conclusion: Mothers’ level of knowledge was heterogeneous but insufficient overall. An effective system of information and education from pregnancy to the first six months of life is needed to promote breastfeeding.
文摘Objective:This study aimed to explore undergraduates’knowledge,attitude,and practice/behavior of human papillomavirus(HPV)vaccination,as well as the essential influencing factors for vaccination decision-making.Methods:Through cluster and convenience sampling,2000 undergraduates from the Nursing and Language department of a university in Shanghai were sent a self-designed questionnaire.Chi-square tests,independent sample t-test/ANOVE,and multiple linear regression were used to investigate participants’knowledge and attitude on HPV vaccination,as well as the factors that predicted potential action to receive and promote HPV vaccination in the future.Results:The mean HPV knowledge score was 5.027 out of 10.Health science students showed a significantly higher knowledge mean score than the non-health science students(P<0.000).There was a statistically difference in HPV vaccination attitude among undergraduates in different grades(P<0.05).Awareness of cervical cancer and worries about the risk of cervical cancer were the significant predictors of willingness to receive and promote HPV vaccination in the future.Conclusions:It would take time for a new health product to be aware,understood,accepted,and received.Education providing and information sharing are expected to break the dawn and make the procedure processed.
文摘BACKGROUND Breast cancer is one of the most prevalent causes of morbidity and mortality worldwide,presenting an increasing public health challenge,particularly in lowincome and middle-income countries.However,data on the knowledge,attitudes,and preventive practices regarding breast cancer and the associated factors among females in Wollo,Ethiopia,remain limited.AIM To assess the impact of family history(FH)of breast disease on knowledge,attitudes,and breast cancer preventive practices among reproductive-age females.METHODS A community-based cross-sectional study was conducted in May and June 2022 in Northeast Ethiopia and involved 143 reproductive-age females with FH of breast diseases and 209 without such a history.We selected participants using the systematic random sampling technique.We analyzed the data using Statistical Package for Social Science version 25 software,and logistic regression analysis was employed to determine odds ratios for variable associations,with statistical significance set at P<0.05.RESULTS Among participants with FH of breast diseases,the levels of knowledge,attitudes,and preventive practices were found to be 83.9%[95%confidence interval(CI):77.9-89.9],49.0%(95%CI:40.8-57.1),and 74.1%(95%CI:66.9-81.3),respectively.In contrast,among those without FH of breast diseases,these levels were significantly decreased to 10.5%(95%CI:6.4-14.7),32.1%(95%CI:25.7-38.4),and 16.7%(95%CI:11.7-21.8),respectively.This study also indicated that knowledge,attitudes,and preventive practices related to breast cancer are significantly higher among participants with FH of breast diseases compared to those without HF breast diseases.CONCLUSION Educational status,monthly income,and community health insurance were identified as significant factors associated with the levels of knowledge,attitudes,and preventive practices regarding breast cancer among reproductive-age females.
文摘Background: Hepatitis B virus (HBV) is a primary reason for liver cancer and continues to be a worldwide public health issue. The likelihood of contracting HBV is greater in healthcare workers (HCWs) compared to individuals who are not in healthcare professions. Medical students are classified as a high-risk demographic since, like HCWs, they often come into contact with bodily fluids and blood during their clinical training. By 2030, a greater proportion of people will have received HBV vaccinations, thereby halting the spread of new infections—The Somali Ministry of Health with the help of various agencies announced to eradicate hepatitis from Somalia. The priority actions are national hepatitis strategy, hepatitis survey, public awareness, training, and capacity building. Objectives: This study aims to assess the knowledge, attitude, and vaccination status of Hepatitis B infection among medical university students in Mogadishu, Somalia, 2024. Methods: Cross-sectional study design was used in this study and the survey was carried out among medical students enrolled in Universities from April 1, 2023 to June 30, 2023. The data was analyzed using SPSS version 26.0 software, Chi-square analysis and Logistic regression analysis to identify associations between demographic factors and HBV knowledge, attitudes, and vaccination status, as well as perspectives and immunization status concerning viral hepatitis. Results: The study achieved a response rate of (96%), with 230 participants. Most students (76.5%) were aged 26 - 30 years, and (60.8%) were male. Nearly half (48.7%) were in their third year of study, and the majority (36.1%) were from the Medicine and Surgery department. While 92.2% had heard of HBV, gaps in understanding were evident. About 37.8% erroneously believed HBV could spread via handshakes, and only 33.9% were aware HBV is treatable. Awareness of HBV’s severe complications, such as liver cirrhosis and liver cancer, was reported by 61.3%, and 83% understood that vaccination could prevent infection. Positive attitudes towards HBV vaccination were prevalent. Most participants (81.3%) supported vaccination before sexual activity, and 78.3% endorsed mandatory HBV vaccination policies for healthcare workers. However, 87.4% expressed concerns about the vaccine promoting unsafe sexual behavior, and 96.1% cited cultural resistance as a barrier to vaccination. A significant proportion (80.86%) of students had not been vaccinated against HBV. Among vaccinated students, 17.4%, 15.7%, and 47.82% had received one, two, and three doses, respectively. Barriers to vaccination included safety concerns (77.4%), lack of time (86.52%), and doubts about efficacy (42.61%). Conclusion: This study highlights gaps in knowledge and vaccination coverage among medical students, which are critical for their health and future clinical practice. Enhancing awareness and vaccination rates can empower students to advocate for preventative measures in their professional environments. Despite high awareness of HBV, knowledge gaps and cultural barriers persist, affecting attitudes and vaccination uptake among medical students. Educational interventions addressing misconceptions, cultural resistance, and vaccine safety are critical. Increased advocacy for mandatory vaccination policies in healthcare settings is also essential to improve HBV prevention methods.
文摘Schistosomiasis is a neglected tropical disease (NTD) widespread in sub-Saharan Africa and mostly affects school going children. Côte d’Ivoire is one of the most vulnerable countries to schistosomiasis, and its prevalence varies by region. This cross-sectional survey was conducted in schools in the Upper Sassandra region to determine the knowledge, attitude, and practices of school children regarding schistosomiasis. In total, 354 students participated in the survey. Our results showed that, compared to the girls, the boys had a higher level of knowledge about schistosomiasis OR = 1.605 and p = 0.05. Regarding the signs, symptoms, and modes of transmission and prevention of schistosomiasis, the participants reported a low level of knowledge p > 0.05 and OR 1. In conclusion, it is important to target health messages in schools to reach the most vulnerable students effectively. This initiative aims to provide children with basic knowledge and skills in the transmission of schistosomiasis.
基金supported by the Strategic Priority Research Program of Chinese Academy of Sciences(Grant No.XDA26050301-02)。
文摘The global rise in animal protein consumption has significantly amplified the demand for fodder.A comprehensive understanding of the diversity and characteristics of existing fodder resources is essential for balanced nutritional fodder production.This study investigates the diversity and composition of fodder plants and identifies key species for cattle in Zhaotong City,Yunnan,China,while documenting indigenous knowledge on their usage and selection criteria.Ethnobotanical surveys were conducted in 19 villages across seven townships with 140 informants.Data were collected through semi-structured interviews,free listing,and participatory observation,and analyzed using Relative Frequency Citation.A total of 125 taxa(including 106 wild and 19 cultivated)were reported.The most cited family is Poaceae(27 taxa,21.43%),followed by Asteraceae(17 taxa,13.49%),Fabaceae(14 taxa,11.11%),Polygonaceae(9 taxa,7.14%)and Lamiaceae(4 taxa,3.17%).The whole plant(66.04%)and herbaceous plants(84.80%)were the most used parts and life forms.The most cited species were Zea mays,Brassica rapa,Solanum tuberosum,Eragrostis nigra,and Artemisia dubia.Usage of diverse fodder resources reflects local wisdom in managing resource availability and achieving balanced nutrition while coping with environmental and climatic risks.Preferences for certain taxonomic groups are due to their quality as premier fodder resources.To promote integrated crop-livestock farming,we suggest further research into highly preferred fodder species,focusing on nutritional assessment,digestibility,meat quality impacts,and potential as antibiotic alternatives.Establishing germplasm and gene banks for fodder resources is also recommended.
文摘Non-communicable diseases (NCDs) are on the rise worldwide and in developing countries like Botswana. Unhealthy eating habits and lack of proper nutrition knowledge cause non-communicable diseases and affect adolescents. It is in adolescence that eating habits are formed that persist till adulthood. Lifestyle interventions are needed to curb NCDs in adolescents. This paper reports the findings of a study that aimed to validate a lifestyle intervention program and its effect on food intake, physical activity, and nutrition knowledge. It was a clustered randomized control trial study conducted in four (4) junior secondary schools. There were 46 participants, 21 in the control and 25 in the intervention arm, who were blindly assigned to each arm by a statistician. Information and skills on nutrition were imparted using the Information, Motivation, and Behavioral Skills model. The program was implemented for eight (8) weeks hourly after school. A questionnaire was used to collect data pre- and post-intervention. Number, proportion, percentage, and independent t-test (mean and SD or median and IQR, p-value) were calculated using numerical and categorical data. The findings showed that the lifestyle intervention was valid, and there was a slight decrease in the intake of sweets among participants in both trial arms (p = 0.066). There was no significant difference in terms of food intake. Only a small number of participants still ate a few fruits, and there was no change in vegetable intake in both trial arms (p = 0.641). There was no change in the intake of fried foods in both trail arms (p = 0.402). Regarding nutrition knowledge, there was a slight significant difference of p = 0.079 between the trial arms. Though the effect of the lifestyle intervention program was not statistically significant, the results are promising, especially if the duration could be increased to a longer period and a larger sample size included.
文摘Artificial Intelligence(AI)has revolutionized education by enabling personalized learning experiences through adaptive platforms.However,traditional AI-driven systems primarily rely on correlation-based analytics,lim-iting their ability to uncover the causal mechanisms behind learning outcomes.This study explores the in-tegration of Knowledge Graphs(KGs)and Causal Inference(CI)as a novel approach to enhance AI-driven educational systems.KGs provide a structured representation of educational knowledge,facilitating intelligent content recommendations and adaptive learning pathways,while CI enables AI systems to move beyond pattern recognition to identify cause-and-effect relationships in student learning.By combining these methods,this research aims to optimize personalized learning path recommendations,improve educational decision-making,and ensure AI-driven interventions are both data-informed and causally validated.Case studies from real-world applications,including intelligent tutoring systems and MOOC platforms,illustrate the practical impact of this approach.The findings contribute to advancing AI-driven education by fostering a balance between knowledge modeling,adaptability,and empirical rigor.
文摘Introduction: Uterine fibroids are benign tumors that develop from the connective and muscular tissues of the uterus. Common among African-American women, patients suffering from them often arrive late to the hospital in our African regions. This study aimed to investigate the knowledge and perception of uterine fibroids among women who came to the gynecology-obstetrics department of the Regional Hospital Center (CHR) Tsévié. Methodology: It was a cross-sectional descriptive study, with data collection conducted from May 7th to 20th, 2024, using systematic sampling. The study included all women present in the Gynecology-Obstetrics Department of CHR Tsévié during the study period who willingly and informedly consented to participate in the survey. Results: 362 women participated in the study. Among them, 36.8% had a secondary level, and 72.9% were Christians. About 97.5% had heard of uterine fibroids. In 63.5% of cases, their entourage was the principal source of information. The diagnostic methods mentioned by the women were ultrasound in 94.6% of cases, while prayers and occultism were also cited in 28% and 33.3% of cases, respectively. While 91.9% of the women considered the hospital, the place for treatment, some indicated that treatment would require plant-based approaches (46.8%) and prayers (26%). The cost of treatment was an obstacle for 85.4% of women, and 61.3% expressed fear of dying during surgery. There was a statistically significant relationship between treatment choice and religion. Conclusion: The majority of women had heard of uterine fibroids but had incorrect information about the treatment.
基金Sponsored by the National Key Research and Development Program from Ministry of Science and Technology of the People's Republic of China (Grant No.2020YFB1711403)。
文摘After the design of aerospace products is completed,a manufacturability assessment needs to be conducted based on 3D model's features in terms of modeling quality and process design,otherwise the cost of design changes will increase.Due to the poor structure and low reusability of product manufacturing feature information and assessment knowledge in the current aerospace product manufacturability assessment process,it is difficult to realize automated manufacturability assessment.To address these issues,a domain ontology model is established for aerospace product manufacturability assessment in this paper.On this basis,a structured representation method of manufacturability assessment knowledge and a knowledge graph data layer construction method are proposed.Based on the semantic information and association information expressed by the knowledge graph,a rule matching method based on subgraph matching is proposed to improve the precision and recall.Finally,applications and experiments based on the software platform verify the effectiveness of the proposed knowledge graph construction and rule matching method.
文摘In the context of power generation companies, vast amounts of specialized data and expert knowledge have been accumulated. However, challenges such as data silos and fragmented knowledge hinder the effective utilization of this information. This study proposes a novel framework for intelligent Question-and-Answer (Q&A) systems based on Retrieval-Augmented Generation (RAG) to address these issues. The system efficiently acquires domain-specific knowledge by leveraging external databases, including Relational Databases (RDBs) and graph databases, without additional fine-tuning for Large Language Models (LLMs). Crucially, the framework integrates a Dynamic Knowledge Base Updating Mechanism (DKBUM) and a Weighted Context-Aware Similarity (WCAS) method to enhance retrieval accuracy and mitigate inherent limitations of LLMs, such as hallucinations and lack of specialization. Additionally, the proposed DKBUM dynamically adjusts knowledge weights within the database, ensuring that the most recent and relevant information is utilized, while WCAS refines the alignment between queries and knowledge items by enhanced context understanding. Experimental validation demonstrates that the system can generate timely, accurate, and context-sensitive responses, making it a robust solution for managing complex business logic in specialized industries.
文摘In the international shipping industry, digital intelligence transformation has become essential, with both governments and enterprises actively working to integrate diverse datasets. The domain of maritime and shipping is characterized by a vast array of document types, filled with complex, large-scale, and often chaotic knowledge and relationships. Effectively managing these documents is crucial for developing a Large Language Model (LLM) in the maritime domain, enabling practitioners to access and leverage valuable information. A Knowledge Graph (KG) offers a state-of-the-art solution for enhancing knowledge retrieval, providing more accurate responses and enabling context-aware reasoning. This paper presents a framework for utilizing maritime and shipping documents to construct a knowledge graph using GraphRAG, a hybrid tool combining graph-based retrieval and generation capabilities. The extraction of entities and relationships from these documents and the KG construction process are detailed. Furthermore, the KG is integrated with an LLM to develop a Q&A system, demonstrating that the system significantly improves answer accuracy compared to traditional LLMs. Additionally, the KG construction process is up to 50% faster than conventional LLM-based approaches, underscoring the efficiency of our method. This study provides a promising approach to digital intelligence in shipping, advancing knowledge accessibility and decision-making.
文摘Dear Colleagues,It is my distinct honor to serve as the Honorary Chief Editor of AMEM,an international open-access journal,dedicated to serve as a platform for international exchange,and the translation of research outcomes in the field of life sciences.AMEM strives to establish itself as a high-level international academic exchange platform that brings together scientific wisdom from around the world and offers a prestigious journal for presenting research findings,and disseminating state of the art knowledge in the vibrant fields of life sciences.
文摘BACKGROUND Ischemic bowel disease(IBD)is a critical condition caused by reduced blood flow to the intestines,leading to tissue damage and potentially severe complications.Early recognition and timely management are essential for improving patient outcomes and reducing morbidity and mortality associated with IBD.AIM To evaluate the knowledge,attitude and practice(KAP)of healthcare professionals regarding IBD.METHODS This cross-sectional study was conducted among healthcare professionals in China from November 2023 to December 2023 using a self-designed questionnaire.RESULTS A total of 315 valid questionnaires were analyzed,with 215 participants(68.25%)being female.The mean KAP scores were 17.55±5.35(range:0-24),27.65±2.77(range:8-40),and 18.88±4.23(range:6-30),respectively.Multivariate linear regression analysis revealed the following factors to be independently associated with knowledge:Age 26-35 years(β=2.80,95%CI:0.31-5.30,P=0.028),professional title(β=2.66,95%CI:0.91-4.41,P=0.003),position(β=-3.78,95%CI:-5.45 to-2.11,P<0.001),participation in IBD-related training(β=3.45,95%CI:2.39-4.51,P<0.001),and admission of more than five IBD cases in the past month(β=3.25,95%CI:1.58-4.92,P<0.001).Attitude was independently associated with knowledge(β=0.20,95%CI:0.15-0.26,P<0.001)and being a nurse or nursing supervisor(β=-1.30,95%CI:-2.16 to-0.40,P=0.003).Practice was independently associated with knowledge(β=0.20,95%CI:0.10-0.30,P<0.001)and attitude(β=0.24,95%CI:0.06-0.42,P=0.007).Structural equation modeling demonstrated direct effects of knowledge on attitude(β=0.24,P<0.001)and practice(β=0.26,P<0.001),as well as of attitude on practice(β=0.22,P=0.012).CONCLUSION Healthcare professionals demonstrated adequate knowledge but moderate attitude and inactive practice regarding IBD.Addressing the gaps in attitude and practice through targeted training programs and interventions is essential for improving patient care and outcomes.
文摘Objective: To develop a best-evidence-based optimal nutrition management plan for patients with chronic heart failure, apply it in clinical practice, and evaluate its effectiveness. Methods: Use the KTA knowledge translation model to guide evidence-based practice in nutrition management, and compare the nutritional status, cardiac function status, quality of life, and quality review indicators of chronic heart failure patients before and after the application of evidence. Results: After the application of evidence, the nutritional status indicators (MNA-SF score, albumin, hemoglobin) of two groups of heart failure patients significantly increased compared to before the application of evidence, with statistically significant differences (p Conclusion: The KTA knowledge translation model provides methodological guidance for the implementation of evidence-based practice for heart failure patients. This evidence-based practice project is beneficial for improving the outcomes of malnutrition in chronic heart failure patients and is conducive to standardizing nursing pathways, thereby promoting the improvement of nursing quality.
文摘The cost and strict input format requirements of GraphRAG make it less efficient for processing large documents. This paper proposes an alternative approach for constructing a knowledge graph (KG) from a PDF document with a focus on simplicity and cost-effectiveness. The process involves splitting the document into chunks, extracting concepts within each chunk using a large language model (LLM), and building relationships based on the proximity of concepts in the same chunk. Unlike traditional named entity recognition (NER), which identifies entities like “Shanghai”, the proposed method identifies concepts, such as “Convenient transportation in Shanghai” which is found to be more meaningful for KG construction. Each edge in the KG represents a relationship between concepts occurring in the same text chunk. The process is computationally inexpensive, leveraging locally set up tools like Mistral 7B openorca instruct and Ollama for model inference, ensuring the entire graph generation process is cost-free. A method of assigning weights to relationships, grouping similar pairs, and summarizing multiple relationships into a single edge with associated weight and relation details is introduced. Additionally, node degrees and communities are calculated for node sizing and coloring. This approach offers a scalable, cost-effective solution for generating meaningful knowledge graphs from large documents, achieving results comparable to GraphRAG while maintaining accessibility for personal machines.
