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 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
Background:Invasive meningococcal disease is a potentially life-threatening infection caused by Neisseria meningitidis.Vaccination is highly effective in preventing meningitis and reducing its associated complications...Background:Invasive meningococcal disease is a potentially life-threatening infection caused by Neisseria meningitidis.Vaccination is highly effective in preventing meningitis and reducing its associated complications.This study aims to assess the United Arab Emirates(UAE)parents meningitis knowledge and explore vaccination attitudes and practices.Methodology:An observational cross-sectional study was conducted between March and May 2024 across the UAE using convenience sampling through social media,electronic mail,and word of mouth.A 58-item questionnaire collected information regarding demographics,meningitis knowledge,attitudes and practices,and meningococcal vaccination knowledge and practices.Results:Of 443 parents included,more than a third had no knowledge about meningitis.Symptoms and severity were well-recognized overall,but clear gaps were evident regarding complications and meningococcal vaccines.Only 10.38%(46/443)identified themselves as knowledgeable/very knowledgeable regarding meningococcal vaccines.A healthcare provider recommendation was the strongest factor encouraging parents to vaccinate their child.Most vaccine hesitancy was seen regarding side effects.Views and practices regarding the two vaccines aligned closely,with more than four-fifths of participants needing more information and the major reasons for not vaccinating a child being a lack of information or lack of recommendation.Social media and governmental websites were the most common sources for learning more about meningitis,with doctors ranking third.In fact,trust in doctors varied with less than half having moderate or strong trust in their main paediatrician.Multivariate logistic regression revealed that coronavirus disease 2019 vaccination status[adjusted odds ratio(AOR):0.365,95%confidence interval(CI):0.172 to 0.774,P=0.013]and female gender(AOR:2.741,95%CI:1.184 to 6.347,P=0.019)were significant predictors of vaccine hesitancy.Conclusion:Meningococcal vaccine hesitancy is a significant concern,primarily driven by fears of side effects and lack of knowledge and physician recommendation.However,vaccine attitudes were overall positive and highly dependent on physician involvement.There is a need for targeted educational initiatives enhancing meningitis disease awareness and vaccine uptake.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
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
Water scarcity poses a significant challenge globally,with South Africa exemplifying the severe socio-economic and environmental impacts of limited water access.Despite advances in modern water management systems,the ...Water scarcity poses a significant challenge globally,with South Africa exemplifying the severe socio-economic and environmental impacts of limited water access.Despite advances in modern water management systems,the integration of indigenous knowledge(IK)into formal frameworks remains underutilized.This study systematically reviews the role of indigenous water conservation practices in South Africa,analyzing over 50 high-quality sources using the PRISMA methodology.The findings highlight the effectiveness of IK in addressing water scarcity through techniques such as rainwater harvesting,terracing,and wetland management,which are low-cost,environmentally sustainable,and deeply rooted in cultural practices.Indigenous methods also enhance climate resilience by enabling communities to adapt to droughts and floods through practices such as weather prediction and adaptive farming techniques.Furthermore,these practices foster social inclusivity and community empowerment,ensuring equitable water access and intergenerational knowledge transfer.The study underscores the potential of integrating IK with modern water technologies to create holistic solutions that are scalable,sustainable,and aligned with South Africa’s goal of achieving water security by 2030.Policy recommendations emphasize the need for institutional support,data collection,and financial incentives to sustain and mainstream indigenous approaches.By bridging the gap between traditional and contemporary systems,this research provides a roadmap for leveraging diverse knowledge systems to address water scarcity and build resilient communities.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
Objective:To assess knowledge and practice among nurses toward neonatal resuscitation in hospitals in Hebron.Methods:A cross-sectional study design was conducted among 151 nurses from Hebron.Data were collected using ...Objective:To assess knowledge and practice among nurses toward neonatal resuscitation in hospitals in Hebron.Methods:A cross-sectional study design was conducted among 151 nurses from Hebron.Data were collected using a self-administered questionnaire.Multiple logistic regression was conducted to test the associated factors with the dependent variables.Results:Only 9.3%of participants had a standardized level of knowledge,while 68.9%reported adequate skills for neonatal resuscitation.Factors associated with a standardized level of knowledge were age(p=0.001)and supportive supervision(p=0.007).Factors associated with the standardized practice level were the presence of hospital guidelines(p=0.028),previous training of nurses(p=0.011),and the presence of supportive supervision(p<0.001).Conclusions:The majority of emergency nurses in Hebron hospitals demonstrated a substandard level of knowledge of neonatal resuscitation.However,most of those nurses surprisingly reported a standardized practice level.The presence of hospital guidelines,training programs,or direct supervision for nurses are factors that can be considered to improve both knowledge and practice toward neonatal resuscitation among emergency nurses in Hebron.展开更多
Objective:To assess the socioeconomic characteristics influencing knowledge,attitudes,and practices in preventing toxocariasis among the adult Khmer population in Tra Vinh Province,Vietnam.Methods:This cross-sectional...Objective:To assess the socioeconomic characteristics influencing knowledge,attitudes,and practices in preventing toxocariasis among the adult Khmer population in Tra Vinh Province,Vietnam.Methods:This cross-sectional study was conducted across 30 communities in eight districts and cities of Tra Vinh Province using a 30-cluster random sampling method during 2023.Results:The study encompassed 760 participants(median age:52 years;interquartile range:39-63 years),female 65.9%.There existed moderate levels of knowledge,attitudes,and preventive practices among participants,with variations across sociodemographic groups.Education(OR 0.53;95%CI 0.36-0.53;P=0.002),and average family income(OR 0.40;95%CI 0.24-0.68;P=0.001)were inversely associated with poor knowledge.Participants aged≥60 years had higher odds of negative attitudes(OR 5.26;95%CI 2.31-11.96;P<0.001)towards toxocariasis prevention.Not owning pets(OR 1.53;95%CI 1.13-2.08;P=0.006)and age≥60 years(OR 5.33;95%CI 2.61-10.86;P<0.001)were associated with significantly higher odds of poor preventive practices.Conversely,higher education(OR 0.11;95%CI 0.06-0.20;P<0.001)and higher income(OR 0.14;95%CI 0.06-0.33;P<0.001)were protective factors,significantly reducing the risk of poor preventive practices.Conclusions:Knowledge,attitudes,and practice levels regarding toxocariasis prevention among Khmer adults in Tra Vinh were moderate and associated with age,education and income.Targeted health education efforts,especially in rural and low-income groups,are essential to improve preventive behaviors and reduce infection risks.展开更多
With the continuous development of artificial intelligence and natural language processing technologies, traditional retrieval-augmented generation (RAG) techniques face numerous challenges in document answer precisio...With the continuous development of artificial intelligence and natural language processing technologies, traditional retrieval-augmented generation (RAG) techniques face numerous challenges in document answer precision and similarity measurement. This study, set against the backdrop of the shipping industry, combines top-down and bottom-up schema design strategies to achieve precise and flexible knowledge representation. The research adopts a semi-structured approach, innovatively constructing an adaptive schema generation mechanism based on reinforcement learning, which models the knowledge graph construction process as a Markov decision process. This method begins with general concepts, defining foundational industry concepts, and then delves into abstracting core concepts specific to the maritime domain through an adaptive pattern generation mechanism that dynamically adjusts the knowledge structure. Specifically, the study designs a four-layer knowledge construction framework, including the data layer, modeling layer, technology layer, and application layer. It draws on a mutual indexing strategy, integrating large language models and traditional information extraction techniques. By leveraging self-attention mechanisms and graph attention networks, it efficiently extracts semantic relationships. The introduction of logic-form-driven solvers and symbolic decomposition techniques for reasoning significantly enhances the model’s ability to understand complex semantic relationships. Additionally, the use of open information extraction and knowledge alignment techniques further improves the efficiency and accuracy of information retrieval. Experimental results demonstrate that the proposed method not only achieves significant performance improvements in knowledge graph retrieval within the shipping domain but also holds important theoretical innovation and practical application value.展开更多
BACKGROUND Glaucoma is the leading cause of irreversible blindness worldwide,with 60.5 million affected individuals,of whom 11 million are from India.Due to its asymptomatic nature,the disease largely remains underdia...BACKGROUND Glaucoma is the leading cause of irreversible blindness worldwide,with 60.5 million affected individuals,of whom 11 million are from India.Due to its asymptomatic nature,the disease largely remains underdiagnosed or diagnosed in advanced stages,where little can be done to salvage functional vision.The literature suggests that a lack of knowledge is one of the reasons for its grave consequences.Assessment of awareness is the first step in planning management.Several studies have been conducted in the Indian community,but data from healthcare providers,who play a significant role in educating the masses directly or indirectly,are limited.AIM To identify awareness,knowledge,and attitudes about glaucoma among healthcare workers in a tertiary center in India.METHODS This cross-sectional study was conducted at a tertiary care institute in Eastern India.Data were collected from 423 participants by systematic stratified sampling after Institutional Ethics Committee approval via a pretested,self-designed,semistructured,validated questionnaire.Statistical analyses were performed using the Statistical Package for Social Sciences Software v22.0.Continuous variables are expressed as the means±SD for parametric values and medians with interquartile ranges for nonparametric values.The associations between the variables were studied via multivariate linear and logistic regression.P<0.05 was considered statistically significant.RESULTS Most respondents were 20–30 years old(n=345,81.6%).The knowledge regarding glaucoma was good,and almost 56.3%of the participants gained knowledge from their medical training.The majority were aware that it has a familial predisposition and is secondary to high intraocular pressure,leading to irreversible peripheral vision loss.Only 42%knew about the life-long requirements of treatment.The resident group scored highest on knowledgeand attitude-based questions,whereas the faculty group scored highest on practice-based questions.Although 62%of the nursing staff had good attitude scores,their knowledge and practice scores were lower.The occupation group response difference was statistically significant(P<0.05)for all the knowledge-based questions.CONCLUSION Although the majority of healthcare providers are aware of glaucoma,there is a dearth of knowledge about treatment modalities.Education via seminars and media can improve their knowledge,attitudes,and practices.展开更多
In the context of the“Two New”initiatives,high school mathematics instruction still grapples with three interlocking problems:knowledge fragmentation,limited cultivation of higher-order thinking,and weak alignment a...In the context of the“Two New”initiatives,high school mathematics instruction still grapples with three interlocking problems:knowledge fragmentation,limited cultivation of higher-order thinking,and weak alignment among teaching,learning,and assessment.To counter these challenges,we propose an Inquiry-Construction Double-Helix model that uses a domain-specific knowledge graph as its cognitive spine.The model interweaves two mutually reinforcing strands-student-driven inquiry and systematic knowledge construction-into a double-helix trajectory analogous to DNA replication.The Inquiry Strand is launched by authentic,situation-based tasks that shepherd students through the complete cycle:question→hypothesis→verification→reflection.The Construction Strand simultaneously externalizes,restructures,and internalizes core disciplinary concepts via visual,hierarchical knowledge graphs.Within the flow of a lesson,the two strands alternately dominate and scaffold each other,securing the co-development of conceptual understanding,procedural fluency,and mathematical literacy.Empirical evidence demonstrates that this model significantly enhances students’systematic knowledge integration,problem-solving transfer ability,and core mathematical competencies,offering a replicable and operable teaching paradigm and practical pathway for deepening high school mathematics classroom reform.展开更多
The aim of this research was to assess the knowledge and practices of radiological versus non-radiological health professionals on the optimisation of radiation protection in paediatric and adult radiology in BUKAVU h...The aim of this research was to assess the knowledge and practices of radiological versus non-radiological health professionals on the optimisation of radiation protection in paediatric and adult radiology in BUKAVU hospitals. To achieve this, we surveyed a convenience sample of 73 health professionals including 23 radiologists working in the hospitals surveyed to assess knowledge and level of implementation of radiation protection principles. Also, physical parameters were taken for the calculation of entry doses in paediatric and adult radiology units for comparison with the International Commission on Radiological Protection (ICRP) diagnostic reference levels. After analysis of the data, the following was found: although radiologists have sufficient knowledge of radiation protection standards, technical constraints do not allow them to observe the dose limitation principle recommended by the ICRP. This is why several radiology departments, including those of the HPGRB, the MWANZI clinic and CIRIRI hospital, have proved to be very irradiating for children. However, radiologists and non-radiologists alike do not contribute positively to the optimisation of radiation protection in the diagnostic use of X-rays. Therefore, support in the implementation of radiation protection principles and regular monitoring of the units as well as replacement of non-standard equipment is necessary to promote patient and environmental safety by optimising radiation protection.展开更多
Objective:To describe the implementation of evidence-based practice(EBP)and identify the associated factors among clinical nurses working at an oncology hospital in Central Vietnam.Methods:A cross-sectional study was ...Objective:To describe the implementation of evidence-based practice(EBP)and identify the associated factors among clinical nurses working at an oncology hospital in Central Vietnam.Methods:A cross-sectional study was conducted with 190 clinical nurses recruited from an oncology hospital in Central Vietnam.The self-administered Evidence-Based Practice Questionnaire(EBPQ)was employed to assess the nurses'knowledge/skills,attitudes,and implementation of EBP.Data analysis utilized descriptive statistics,the Mann-Whitney test,the Kruskal-Wallis test,and Spearman's rho correlation.Results:The mean total score for EBP implementation among the nurses was 29.52(SD=7.14)out of 42 scores.The most frequently undertaken activity was sharing evidence with colleagues,whereas finding relevant evidence was the least performed.The level of EBP implementation significantly varied based on the nurses'role types and their participation in related courses(P<0.05).Moreover,a strong positive correlation was observed between EBP implementation and both knowledge/skills(r=0.703,P<0.001)and attitudes toward EBP(r=0.536,P<0.001).Conclusions:The implementation of EBP by oncology nurses is generally moderate and is significantly positively correlated with their knowledge/skills and attitudes toward EBP.These findings underscore the importance of enhancing educational programs and facilitating suppor tive institutional policies to fur ther encourage the adoption of EBP among nurses.展开更多
Objective:To explore the application of the Registered Nurses'Association of Ontario(RNAO)Best Practice Guideline(BPG)for Developing and Sustaining Nursing Leadership through the lens of nursing students transitio...Objective:To explore the application of the Registered Nurses'Association of Ontario(RNAO)Best Practice Guideline(BPG)for Developing and Sustaining Nursing Leadership through the lens of nursing students transitioning from classroom learning to clinical practice.Through this reflection,the authors hope to inspire and empower future nursing leaders to champion innovation,resilience,and excellence in healthcare.Methods:By integrating evidence-based leadership principles,the authors reflect on their personal experiences,challenges,and successes in implementing these guidelines in real-world settings.Results:The paper highlights the significance of leadership in fostering healthy work environments and improving patient outcomes,emphasizing the role of nursing students as emerging leaders.Practical strategies for applying BPG,the RNAO BPG suggests leadership skills on professional development,and recommendations for embedding leadership principles into nursing education and practice are discussed.Conclusions:Implementing nursing leadership from the beginning of a nursing student's journey is vital for shaping the next generation of healthcare leaders.By integrating leadership principles early in nursing education,students can develop the skills needed to navigate clinical challenges,collaborate effectively with healthcare teams,and advocate for positive change.Starting with leadership guidelines in nursing school ensures that future nurses are equipped to foster supportive work environments,improve patient outcomes,and drive innovation from the very start of their careers,making leadership an inherent part of their professional identity.展开更多
Since Google introduced the concept of Knowledge Graphs(KGs)in 2012,their construction technologies have evolved into a comprehensive methodological framework encompassing knowledge acquisition,extraction,representati...Since Google introduced the concept of Knowledge Graphs(KGs)in 2012,their construction technologies have evolved into a comprehensive methodological framework encompassing knowledge acquisition,extraction,representation,modeling,fusion,computation,and storage.Within this framework,knowledge extraction,as the core component,directly determines KG quality.In military domains,traditional manual curation models face efficiency constraints due to data fragmentation,complex knowledge architectures,and confidentiality protocols.Meanwhile,crowdsourced ontology construction approaches from general domains prove non-transferable,while human-crafted ontologies struggle with generalization deficiencies.To address these challenges,this study proposes an OntologyAware LLM Methodology for Military Domain Knowledge Extraction(LLM-KE).This approach leverages the deep semantic comprehension capabilities of Large Language Models(LLMs)to simulate human experts’cognitive processes in crowdsourced ontology construction,enabling automated extraction of military textual knowledge.It concurrently enhances knowledge processing efficiency and improves KG completeness.Empirical analysis demonstrates that this method effectively resolves scalability and dynamic adaptation challenges in military KG construction,establishing a novel technological pathway for advancing military intelligence development.展开更多
The rapid development of information technology and accelerated digitalization have led to an explosive growth of data across various fields.As a key technology for knowledge representation and sharing,knowledge graph...The rapid development of information technology and accelerated digitalization have led to an explosive growth of data across various fields.As a key technology for knowledge representation and sharing,knowledge graphs play a crucial role by constructing structured networks of relationships among entities.However,data sparsity and numerous unexplored implicit relations result in the widespread incompleteness of knowledge graphs.In static knowledge graph completion,most existing methods rely on linear operations or simple interaction mechanisms for triple encoding,making it difficult to fully capture the deep semantic associations between entities and relations.Moreover,many methods focus only on the local information of individual triples,ignoring the rich semantic dependencies embedded in the neighboring nodes of entities within the graph structure,which leads to incomplete embedding representations.To address these challenges,we propose Two-Stage Mixer Embedding(TSMixerE),a static knowledge graph completion method based on entity context.In the unit semantic extraction stage,TSMixerE leveragesmulti-scale circular convolution to capture local features atmultiple granularities,enhancing the flexibility and robustness of feature interactions.A channel attention mechanism amplifies key channel responses to suppress noise and irrelevant information,thereby improving the discriminative power and semantic depth of feature representations.For contextual information fusion,a multi-layer self-attentionmechanism enables deep interactions among contextual cues,effectively integrating local details with global context.Simultaneously,type embeddings clarify the semantic identities and roles of each component,enhancing the model’s sensitivity and fusion capabilities for diverse information sources.Furthermore,TSMixerE constructs contextual unit sequences for entities,fully exploring neighborhood information within the graph structure to model complex semantic dependencies,thus improving the completeness and generalization of embedding representations.展开更多
This paper delves into effective pathways for transforming course ecosystems from resource provision to knowledge service and competency development through university-enterprise collaboration in co-building knowledge...This paper delves into effective pathways for transforming course ecosystems from resource provision to knowledge service and competency development through university-enterprise collaboration in co-building knowledge graphs and intelligent shared courses.This approach enables personalized,learning-driven teaching.Based on knowledge graphs and integrated teacher-machine-student smart teaching scenarios,it not only innovates autonomous learning environments and human-computer interaction models while optimizing teaching experiences for both instructors and students,but also effectively addresses the issues of students’“scattered,superficial,and fragmented learning”.This establishes the foundation for personalized teaching tailored to individual aptitudes.展开更多
Globally,mealtimes provide key insights into cultural and social values and practices.We examine mealtime environments and eating practices in two different African settings using quantitative observational and questi...Globally,mealtimes provide key insights into cultural and social values and practices.We examine mealtime environments and eating practices in two different African settings using quantitative observational and questionnaire data.Participating families(N=80)were recruited from two rural locations in Zambia and Kenya.Results following descriptive analysis showed that meals are typically taken as a family in a sociable context,providing opportunities to nurture children’s positive behaviours.In both communities,mothers(71.25%)were most likely to be present and typically prepared meals and provided the food.We observed a few distractions being used during mealtimes,and children finished their food with little to no conflict.Plate sharing varied across the two sites and was more common in Zambia,where we also observed more traditional practices such as eating with hands(as opposed to cutlery)and sitting on mats on the ground(as opposed to seated on chairs or sofas).Overall,our findings suggest more similarities in the cultural and social values across the two African contexts despite slight differences in mealtime practices.In particular,positive mealtime behaviours(little food refusal,lack of conflict)were common across all contexts,regardless of the extent to which traditional practices(such as plate-sharing and sitting on the floor)were used.Findings align with Family Systems theory,which states that the family is understood best by conceptualizing it as a complex,dynamic,and changing collection of parts,subsystems,and family members.展开更多
This paper proposes a deep learning-based 3D LiDAR perception framework designed for applications such as autonomous robots and vehicles.To address the high dependency on large-scale annotated data—an inherent limita...This paper proposes a deep learning-based 3D LiDAR perception framework designed for applications such as autonomous robots and vehicles.To address the high dependency on large-scale annotated data—an inherent limitation of deep learning models—this study introduces a hybrid perception architecture that incorporates expertdriven LiDAR processing techniques into the deep neural network.Traditional 3DLiDAR processingmethods typically remove ground planes and apply distance-or density-based clustering for object detection.In this work,such expert knowledge is encoded as feature-level inputs and fused with the deep network,therebymitigating the data dependency issue of conventional learning-based approaches.Specifically,the proposedmethod combines two expert algorithms—Patchwork++for ground segmentation and DBSCAN for clustering—with a PointPillars-based LiDAR detection network.We design four hybrid versions of the network depending on the stage and method of integrating expert features into the feature map of the deep model.Among these,Version 4 incorporates a modified neck structure in PointPillars and introduces a new Cluster 2D Pseudo-Map Branch that utilizes cluster-level pseudo-images generated from Patchwork++and DBSCAN.This version achieved a+3.88%improvement mean Average Precision(mAP)compared to the baseline PointPillars.The results demonstrate that embedding expert-based perception logic into deep neural architectures can effectively enhance performance and reduce dependency on extensive training datasets,offering a promising direction for robust 3D LiDAR object detection in real-world scenarios.展开更多
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 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Background:Invasive meningococcal disease is a potentially life-threatening infection caused by Neisseria meningitidis.Vaccination is highly effective in preventing meningitis and reducing its associated complications.This study aims to assess the United Arab Emirates(UAE)parents meningitis knowledge and explore vaccination attitudes and practices.Methodology:An observational cross-sectional study was conducted between March and May 2024 across the UAE using convenience sampling through social media,electronic mail,and word of mouth.A 58-item questionnaire collected information regarding demographics,meningitis knowledge,attitudes and practices,and meningococcal vaccination knowledge and practices.Results:Of 443 parents included,more than a third had no knowledge about meningitis.Symptoms and severity were well-recognized overall,but clear gaps were evident regarding complications and meningococcal vaccines.Only 10.38%(46/443)identified themselves as knowledgeable/very knowledgeable regarding meningococcal vaccines.A healthcare provider recommendation was the strongest factor encouraging parents to vaccinate their child.Most vaccine hesitancy was seen regarding side effects.Views and practices regarding the two vaccines aligned closely,with more than four-fifths of participants needing more information and the major reasons for not vaccinating a child being a lack of information or lack of recommendation.Social media and governmental websites were the most common sources for learning more about meningitis,with doctors ranking third.In fact,trust in doctors varied with less than half having moderate or strong trust in their main paediatrician.Multivariate logistic regression revealed that coronavirus disease 2019 vaccination status[adjusted odds ratio(AOR):0.365,95%confidence interval(CI):0.172 to 0.774,P=0.013]and female gender(AOR:2.741,95%CI:1.184 to 6.347,P=0.019)were significant predictors of vaccine hesitancy.Conclusion:Meningococcal vaccine hesitancy is a significant concern,primarily driven by fears of side effects and lack of knowledge and physician recommendation.However,vaccine attitudes were overall positive and highly dependent on physician involvement.There is a need for targeted educational initiatives enhancing meningitis disease awareness and vaccine uptake.
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.
文摘Water scarcity poses a significant challenge globally,with South Africa exemplifying the severe socio-economic and environmental impacts of limited water access.Despite advances in modern water management systems,the integration of indigenous knowledge(IK)into formal frameworks remains underutilized.This study systematically reviews the role of indigenous water conservation practices in South Africa,analyzing over 50 high-quality sources using the PRISMA methodology.The findings highlight the effectiveness of IK in addressing water scarcity through techniques such as rainwater harvesting,terracing,and wetland management,which are low-cost,environmentally sustainable,and deeply rooted in cultural practices.Indigenous methods also enhance climate resilience by enabling communities to adapt to droughts and floods through practices such as weather prediction and adaptive farming techniques.Furthermore,these practices foster social inclusivity and community empowerment,ensuring equitable water access and intergenerational knowledge transfer.The study underscores the potential of integrating IK with modern water technologies to create holistic solutions that are scalable,sustainable,and aligned with South Africa’s goal of achieving water security by 2030.Policy recommendations emphasize the need for institutional support,data collection,and financial incentives to sustain and mainstream indigenous approaches.By bridging the gap between traditional and contemporary systems,this research provides a roadmap for leveraging diverse knowledge systems to address water scarcity and build resilient communities.
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Objective:To assess knowledge and practice among nurses toward neonatal resuscitation in hospitals in Hebron.Methods:A cross-sectional study design was conducted among 151 nurses from Hebron.Data were collected using a self-administered questionnaire.Multiple logistic regression was conducted to test the associated factors with the dependent variables.Results:Only 9.3%of participants had a standardized level of knowledge,while 68.9%reported adequate skills for neonatal resuscitation.Factors associated with a standardized level of knowledge were age(p=0.001)and supportive supervision(p=0.007).Factors associated with the standardized practice level were the presence of hospital guidelines(p=0.028),previous training of nurses(p=0.011),and the presence of supportive supervision(p<0.001).Conclusions:The majority of emergency nurses in Hebron hospitals demonstrated a substandard level of knowledge of neonatal resuscitation.However,most of those nurses surprisingly reported a standardized practice level.The presence of hospital guidelines,training programs,or direct supervision for nurses are factors that can be considered to improve both knowledge and practice toward neonatal resuscitation among emergency nurses in Hebron.
文摘Objective:To assess the socioeconomic characteristics influencing knowledge,attitudes,and practices in preventing toxocariasis among the adult Khmer population in Tra Vinh Province,Vietnam.Methods:This cross-sectional study was conducted across 30 communities in eight districts and cities of Tra Vinh Province using a 30-cluster random sampling method during 2023.Results:The study encompassed 760 participants(median age:52 years;interquartile range:39-63 years),female 65.9%.There existed moderate levels of knowledge,attitudes,and preventive practices among participants,with variations across sociodemographic groups.Education(OR 0.53;95%CI 0.36-0.53;P=0.002),and average family income(OR 0.40;95%CI 0.24-0.68;P=0.001)were inversely associated with poor knowledge.Participants aged≥60 years had higher odds of negative attitudes(OR 5.26;95%CI 2.31-11.96;P<0.001)towards toxocariasis prevention.Not owning pets(OR 1.53;95%CI 1.13-2.08;P=0.006)and age≥60 years(OR 5.33;95%CI 2.61-10.86;P<0.001)were associated with significantly higher odds of poor preventive practices.Conversely,higher education(OR 0.11;95%CI 0.06-0.20;P<0.001)and higher income(OR 0.14;95%CI 0.06-0.33;P<0.001)were protective factors,significantly reducing the risk of poor preventive practices.Conclusions:Knowledge,attitudes,and practice levels regarding toxocariasis prevention among Khmer adults in Tra Vinh were moderate and associated with age,education and income.Targeted health education efforts,especially in rural and low-income groups,are essential to improve preventive behaviors and reduce infection risks.
文摘With the continuous development of artificial intelligence and natural language processing technologies, traditional retrieval-augmented generation (RAG) techniques face numerous challenges in document answer precision and similarity measurement. This study, set against the backdrop of the shipping industry, combines top-down and bottom-up schema design strategies to achieve precise and flexible knowledge representation. The research adopts a semi-structured approach, innovatively constructing an adaptive schema generation mechanism based on reinforcement learning, which models the knowledge graph construction process as a Markov decision process. This method begins with general concepts, defining foundational industry concepts, and then delves into abstracting core concepts specific to the maritime domain through an adaptive pattern generation mechanism that dynamically adjusts the knowledge structure. Specifically, the study designs a four-layer knowledge construction framework, including the data layer, modeling layer, technology layer, and application layer. It draws on a mutual indexing strategy, integrating large language models and traditional information extraction techniques. By leveraging self-attention mechanisms and graph attention networks, it efficiently extracts semantic relationships. The introduction of logic-form-driven solvers and symbolic decomposition techniques for reasoning significantly enhances the model’s ability to understand complex semantic relationships. Additionally, the use of open information extraction and knowledge alignment techniques further improves the efficiency and accuracy of information retrieval. Experimental results demonstrate that the proposed method not only achieves significant performance improvements in knowledge graph retrieval within the shipping domain but also holds important theoretical innovation and practical application value.
文摘BACKGROUND Glaucoma is the leading cause of irreversible blindness worldwide,with 60.5 million affected individuals,of whom 11 million are from India.Due to its asymptomatic nature,the disease largely remains underdiagnosed or diagnosed in advanced stages,where little can be done to salvage functional vision.The literature suggests that a lack of knowledge is one of the reasons for its grave consequences.Assessment of awareness is the first step in planning management.Several studies have been conducted in the Indian community,but data from healthcare providers,who play a significant role in educating the masses directly or indirectly,are limited.AIM To identify awareness,knowledge,and attitudes about glaucoma among healthcare workers in a tertiary center in India.METHODS This cross-sectional study was conducted at a tertiary care institute in Eastern India.Data were collected from 423 participants by systematic stratified sampling after Institutional Ethics Committee approval via a pretested,self-designed,semistructured,validated questionnaire.Statistical analyses were performed using the Statistical Package for Social Sciences Software v22.0.Continuous variables are expressed as the means±SD for parametric values and medians with interquartile ranges for nonparametric values.The associations between the variables were studied via multivariate linear and logistic regression.P<0.05 was considered statistically significant.RESULTS Most respondents were 20–30 years old(n=345,81.6%).The knowledge regarding glaucoma was good,and almost 56.3%of the participants gained knowledge from their medical training.The majority were aware that it has a familial predisposition and is secondary to high intraocular pressure,leading to irreversible peripheral vision loss.Only 42%knew about the life-long requirements of treatment.The resident group scored highest on knowledgeand attitude-based questions,whereas the faculty group scored highest on practice-based questions.Although 62%of the nursing staff had good attitude scores,their knowledge and practice scores were lower.The occupation group response difference was statistically significant(P<0.05)for all the knowledge-based questions.CONCLUSION Although the majority of healthcare providers are aware of glaucoma,there is a dearth of knowledge about treatment modalities.Education via seminars and media can improve their knowledge,attitudes,and practices.
文摘In the context of the“Two New”initiatives,high school mathematics instruction still grapples with three interlocking problems:knowledge fragmentation,limited cultivation of higher-order thinking,and weak alignment among teaching,learning,and assessment.To counter these challenges,we propose an Inquiry-Construction Double-Helix model that uses a domain-specific knowledge graph as its cognitive spine.The model interweaves two mutually reinforcing strands-student-driven inquiry and systematic knowledge construction-into a double-helix trajectory analogous to DNA replication.The Inquiry Strand is launched by authentic,situation-based tasks that shepherd students through the complete cycle:question→hypothesis→verification→reflection.The Construction Strand simultaneously externalizes,restructures,and internalizes core disciplinary concepts via visual,hierarchical knowledge graphs.Within the flow of a lesson,the two strands alternately dominate and scaffold each other,securing the co-development of conceptual understanding,procedural fluency,and mathematical literacy.Empirical evidence demonstrates that this model significantly enhances students’systematic knowledge integration,problem-solving transfer ability,and core mathematical competencies,offering a replicable and operable teaching paradigm and practical pathway for deepening high school mathematics classroom reform.
文摘The aim of this research was to assess the knowledge and practices of radiological versus non-radiological health professionals on the optimisation of radiation protection in paediatric and adult radiology in BUKAVU hospitals. To achieve this, we surveyed a convenience sample of 73 health professionals including 23 radiologists working in the hospitals surveyed to assess knowledge and level of implementation of radiation protection principles. Also, physical parameters were taken for the calculation of entry doses in paediatric and adult radiology units for comparison with the International Commission on Radiological Protection (ICRP) diagnostic reference levels. After analysis of the data, the following was found: although radiologists have sufficient knowledge of radiation protection standards, technical constraints do not allow them to observe the dose limitation principle recommended by the ICRP. This is why several radiology departments, including those of the HPGRB, the MWANZI clinic and CIRIRI hospital, have proved to be very irradiating for children. However, radiologists and non-radiologists alike do not contribute positively to the optimisation of radiation protection in the diagnostic use of X-rays. Therefore, support in the implementation of radiation protection principles and regular monitoring of the units as well as replacement of non-standard equipment is necessary to promote patient and environmental safety by optimising radiation protection.
文摘Objective:To describe the implementation of evidence-based practice(EBP)and identify the associated factors among clinical nurses working at an oncology hospital in Central Vietnam.Methods:A cross-sectional study was conducted with 190 clinical nurses recruited from an oncology hospital in Central Vietnam.The self-administered Evidence-Based Practice Questionnaire(EBPQ)was employed to assess the nurses'knowledge/skills,attitudes,and implementation of EBP.Data analysis utilized descriptive statistics,the Mann-Whitney test,the Kruskal-Wallis test,and Spearman's rho correlation.Results:The mean total score for EBP implementation among the nurses was 29.52(SD=7.14)out of 42 scores.The most frequently undertaken activity was sharing evidence with colleagues,whereas finding relevant evidence was the least performed.The level of EBP implementation significantly varied based on the nurses'role types and their participation in related courses(P<0.05).Moreover,a strong positive correlation was observed between EBP implementation and both knowledge/skills(r=0.703,P<0.001)and attitudes toward EBP(r=0.536,P<0.001).Conclusions:The implementation of EBP by oncology nurses is generally moderate and is significantly positively correlated with their knowledge/skills and attitudes toward EBP.These findings underscore the importance of enhancing educational programs and facilitating suppor tive institutional policies to fur ther encourage the adoption of EBP among nurses.
文摘Objective:To explore the application of the Registered Nurses'Association of Ontario(RNAO)Best Practice Guideline(BPG)for Developing and Sustaining Nursing Leadership through the lens of nursing students transitioning from classroom learning to clinical practice.Through this reflection,the authors hope to inspire and empower future nursing leaders to champion innovation,resilience,and excellence in healthcare.Methods:By integrating evidence-based leadership principles,the authors reflect on their personal experiences,challenges,and successes in implementing these guidelines in real-world settings.Results:The paper highlights the significance of leadership in fostering healthy work environments and improving patient outcomes,emphasizing the role of nursing students as emerging leaders.Practical strategies for applying BPG,the RNAO BPG suggests leadership skills on professional development,and recommendations for embedding leadership principles into nursing education and practice are discussed.Conclusions:Implementing nursing leadership from the beginning of a nursing student's journey is vital for shaping the next generation of healthcare leaders.By integrating leadership principles early in nursing education,students can develop the skills needed to navigate clinical challenges,collaborate effectively with healthcare teams,and advocate for positive change.Starting with leadership guidelines in nursing school ensures that future nurses are equipped to foster supportive work environments,improve patient outcomes,and drive innovation from the very start of their careers,making leadership an inherent part of their professional identity.
文摘Since Google introduced the concept of Knowledge Graphs(KGs)in 2012,their construction technologies have evolved into a comprehensive methodological framework encompassing knowledge acquisition,extraction,representation,modeling,fusion,computation,and storage.Within this framework,knowledge extraction,as the core component,directly determines KG quality.In military domains,traditional manual curation models face efficiency constraints due to data fragmentation,complex knowledge architectures,and confidentiality protocols.Meanwhile,crowdsourced ontology construction approaches from general domains prove non-transferable,while human-crafted ontologies struggle with generalization deficiencies.To address these challenges,this study proposes an OntologyAware LLM Methodology for Military Domain Knowledge Extraction(LLM-KE).This approach leverages the deep semantic comprehension capabilities of Large Language Models(LLMs)to simulate human experts’cognitive processes in crowdsourced ontology construction,enabling automated extraction of military textual knowledge.It concurrently enhances knowledge processing efficiency and improves KG completeness.Empirical analysis demonstrates that this method effectively resolves scalability and dynamic adaptation challenges in military KG construction,establishing a novel technological pathway for advancing military intelligence development.
基金supported by the National Natural Science Foundation of China(No.62267005)the Chinese Guangxi Natural Science Foundation(No.2023GXNSFAA026493)+1 种基金Guangxi Collaborative Innovation Center ofMulti-Source Information Integration and Intelligent ProcessingGuangxi Academy of Artificial Intelligence.
文摘The rapid development of information technology and accelerated digitalization have led to an explosive growth of data across various fields.As a key technology for knowledge representation and sharing,knowledge graphs play a crucial role by constructing structured networks of relationships among entities.However,data sparsity and numerous unexplored implicit relations result in the widespread incompleteness of knowledge graphs.In static knowledge graph completion,most existing methods rely on linear operations or simple interaction mechanisms for triple encoding,making it difficult to fully capture the deep semantic associations between entities and relations.Moreover,many methods focus only on the local information of individual triples,ignoring the rich semantic dependencies embedded in the neighboring nodes of entities within the graph structure,which leads to incomplete embedding representations.To address these challenges,we propose Two-Stage Mixer Embedding(TSMixerE),a static knowledge graph completion method based on entity context.In the unit semantic extraction stage,TSMixerE leveragesmulti-scale circular convolution to capture local features atmultiple granularities,enhancing the flexibility and robustness of feature interactions.A channel attention mechanism amplifies key channel responses to suppress noise and irrelevant information,thereby improving the discriminative power and semantic depth of feature representations.For contextual information fusion,a multi-layer self-attentionmechanism enables deep interactions among contextual cues,effectively integrating local details with global context.Simultaneously,type embeddings clarify the semantic identities and roles of each component,enhancing the model’s sensitivity and fusion capabilities for diverse information sources.Furthermore,TSMixerE constructs contextual unit sequences for entities,fully exploring neighborhood information within the graph structure to model complex semantic dependencies,thus improving the completeness and generalization of embedding representations.
基金supported by Harbin Institute of Technology High-level Teaching Achievement Award(National Level)Cultivation Project(256709).
文摘This paper delves into effective pathways for transforming course ecosystems from resource provision to knowledge service and competency development through university-enterprise collaboration in co-building knowledge graphs and intelligent shared courses.This approach enables personalized,learning-driven teaching.Based on knowledge graphs and integrated teacher-machine-student smart teaching scenarios,it not only innovates autonomous learning environments and human-computer interaction models while optimizing teaching experiences for both instructors and students,but also effectively addresses the issues of students’“scattered,superficial,and fragmented learning”.This establishes the foundation for personalized teaching tailored to individual aptitudes.
基金funded by UKRI Global Challenges Research Fund through the Economic and Social Research Council(grant reference:ES/T004959/1)with additional partial support from the National Research Foundation of South Africa(grant CSUR230503101533)。
文摘Globally,mealtimes provide key insights into cultural and social values and practices.We examine mealtime environments and eating practices in two different African settings using quantitative observational and questionnaire data.Participating families(N=80)were recruited from two rural locations in Zambia and Kenya.Results following descriptive analysis showed that meals are typically taken as a family in a sociable context,providing opportunities to nurture children’s positive behaviours.In both communities,mothers(71.25%)were most likely to be present and typically prepared meals and provided the food.We observed a few distractions being used during mealtimes,and children finished their food with little to no conflict.Plate sharing varied across the two sites and was more common in Zambia,where we also observed more traditional practices such as eating with hands(as opposed to cutlery)and sitting on mats on the ground(as opposed to seated on chairs or sofas).Overall,our findings suggest more similarities in the cultural and social values across the two African contexts despite slight differences in mealtime practices.In particular,positive mealtime behaviours(little food refusal,lack of conflict)were common across all contexts,regardless of the extent to which traditional practices(such as plate-sharing and sitting on the floor)were used.Findings align with Family Systems theory,which states that the family is understood best by conceptualizing it as a complex,dynamic,and changing collection of parts,subsystems,and family members.
基金supported by Basic Science Research Program through the National Research Foundation of Korea(NRF)funded by the Ministry of Education(RS-2023-00245084)by Korea Institute for Advancement of Technology(KIAT)grant funded by the Korea Government(MOTIE)(RS-2024-00415938,HRD Program for Industrial Innovation)and Soonchunhyang University.
文摘This paper proposes a deep learning-based 3D LiDAR perception framework designed for applications such as autonomous robots and vehicles.To address the high dependency on large-scale annotated data—an inherent limitation of deep learning models—this study introduces a hybrid perception architecture that incorporates expertdriven LiDAR processing techniques into the deep neural network.Traditional 3DLiDAR processingmethods typically remove ground planes and apply distance-or density-based clustering for object detection.In this work,such expert knowledge is encoded as feature-level inputs and fused with the deep network,therebymitigating the data dependency issue of conventional learning-based approaches.Specifically,the proposedmethod combines two expert algorithms—Patchwork++for ground segmentation and DBSCAN for clustering—with a PointPillars-based LiDAR detection network.We design four hybrid versions of the network depending on the stage and method of integrating expert features into the feature map of the deep model.Among these,Version 4 incorporates a modified neck structure in PointPillars and introduces a new Cluster 2D Pseudo-Map Branch that utilizes cluster-level pseudo-images generated from Patchwork++and DBSCAN.This version achieved a+3.88%improvement mean Average Precision(mAP)compared to the baseline PointPillars.The results demonstrate that embedding expert-based perception logic into deep neural architectures can effectively enhance performance and reduce dependency on extensive training datasets,offering a promising direction for robust 3D LiDAR object detection in real-world scenarios.
