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Management of Borderline Personality Disorder Crises in the Emergency Room: A Case Study
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作者 Taqialdeen Zamil Talato Kabore +1 位作者 Ayman Tailakh Khadija Hamisi 《Open Journal of Medical Psychology》 2025年第1期32-40,共9页
This case study describes the care provided to a female patient with borderline personality disorder (BPD) who presented to the emergency department (ED). While people with borderline personality disorder use emergenc... This case study describes the care provided to a female patient with borderline personality disorder (BPD) who presented to the emergency department (ED). While people with borderline personality disorder use emergency services frequently, clinicians often face difficulties when providing medical and behavioral services to these patients. It may be difficult for nurse practitioners to determine if a patient with BPD who presents to the ED in crisis should be admitted, medicated, observed, or discharged. Self-harm is frequently confused with suicide attempts, which can result in unnecessary hospitalizations. This case study seeks to examine the proper management and difficulties encountered by healthcare providers in managing crises involving individuals with BPD in ED settings. The case study underscores the significance of thorough evaluation, recognition of BPD characteristics, active engagement in treatment, the therapeutic alliance, and the emphasis on interpersonal connections and stressors alongside the utilization of psychopharmacology. 展开更多
关键词 Borderline personality Disorder Psychiatric Crises Borderline personality Crises
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Proactive personality and health literacy among patients with permanent colostomy:an observational study
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作者 Wen Li Hui Zheng +3 位作者 Hai-Bo Wang Ye Jiang Zhong-Zhen Yang Soh Kim Lam 《Frontiers of Nursing》 2025年第1期91-98,共8页
Objective:To investigate the distribution of health literacy(HL)levels and the association of HL with proactive personality in patients with permanent colostomy.Methods:A cross-sectional study was conducted to measure... Objective:To investigate the distribution of health literacy(HL)levels and the association of HL with proactive personality in patients with permanent colostomy.Methods:A cross-sectional study was conducted to measure proactive personality and HL using validated scales.A total of 172 patients with permanent colostomy were selected from January 2021 to May 2022 in Yantai City,China.Descriptive statistics,t-test,ANOVA,Pearson correlation analysis,and multiple linear regression analysis techniques were used.Results:The results obtained from the study showed that the HL status of the participants was moderate.The correlation between participants’total HL scores and proactive personality scores was 0.417(P-value<0.001).In addition,HL showed statistically significant differences according to education level,place of residence,profession,and average monthly household income.Conclusions:This study showed that patients with higher proactive personality scores had higher HL.The key stakeholders require several positive strategies to improve the HL of patients with permanent colostomy by cultivating their proactive personalities,and these important policies will help to improve patient health and quality of life. 展开更多
关键词 health literacy observational study permanent colostomy proactive personality surgical nursing
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Personalized nutritional care for immune function recovery in postoperative gastrointestinal surgery patients:An observational study
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作者 Fang-Hong Zhong 《World Journal of Gastrointestinal Surgery》 2025年第2期199-206,共8页
BACKGROUND Gastrointestinal(GI)surgery can significantly affect the nutritional status and immune function of patients.This study aimed to investigate the effects of personalized nutritional care on the recovery of im... BACKGROUND Gastrointestinal(GI)surgery can significantly affect the nutritional status and immune function of patients.This study aimed to investigate the effects of personalized nutritional care on the recovery of immune function in patients who underwent postoperative GI surgery.AIM To study examines personalized nutritional care’s impact on immune function recovery,nutritional status,and clinical outcomes after GI surgery.METHODS This observational study included 80 patients who underwent GI surgery between 2021 and 2023.Patients received personalized nutritional care based on their individual needs and surgical outcomes.Immune function markers including lymphocyte subsets,immunoglobulins,and cytokines were measured preoperatively and at regular intervals postoperatively.Nutritional status,clinical outcomes,and quality of life were assessed.RESULTS Patients receiving personalized nutritional care showed significant improvements in immune function markers compared to baseline.At 4 weeks postoperatively,CD4+T-cell counts increased by 25%(P<0.001),while interleukin-6 levels decreased by 40%(P<0.001).Nutritional status,as measured by prealbumin and transferrin levels,improved by 30%(P<0.01).Postoperative complications reduced by 35%compared to historical controls.The quality-of-life scores improved by 40%at 3 months postoperatively.CONCLUSION Personalized nutritional care enhances immune function recovery,improves nutritional status,and reduces complications in patients undergoing postoperative GI surgery,highlighting its crucial role in optimizing patient outcomes following such procedures. 展开更多
关键词 Gastrointestinal surgery personalized nutrition Immune function Postoperative care Nutritional status
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Deep Learning-Based Modeling Methods in Personalized Education
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作者 Qiang SUN 《Artificial Intelligence Education Studies》 2025年第1期15-30,共16页
Deep learning has significantly transformed personalized education by enabling intelligent adaptation to indi-vidual learning needs.This study explores deep learning-based modeling methods that enhance personalized le... Deep learning has significantly transformed personalized education by enabling intelligent adaptation to indi-vidual learning needs.This study explores deep learning-based modeling methods that enhance personalized learning experiences,optimize instructional content,and predict student progress.We examine key techniques,including recurrent neural networks(RNNs),transformers,reinforcement learning,and multimodal learning analytics,to demonstrate their roles in personalized learning path recommendations and adaptive content gen-eration.Case studies of AI-driven tutoring systems and learning management platforms illustrate real-world applications.Additionally,we address challenges related to data privacy,algorithmic bias,and model inter-pretability.The paper concludes with future directions for deep learning in education,emphasizing its potential for enhancing immersive and intelligent learning environments. 展开更多
关键词 Deep Learning personalized Learning Adaptive Education Learning Analytics Artificial Intelligence
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Genetic insights in infectious diseases:Insights from a case report and implications for personalized medicine
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作者 Suryasnata Bhowmik Adrija Hajra Dhrubajyoti Bandyopadhyay 《World Journal of Clinical Cases》 2025年第13期1-6,共6页
The relationship between genetics and infectious diseases is important in shaping our understanding of disease susceptibility,progression,and treatment.Recent research shows the impact of genetic variations,such as he... The relationship between genetics and infectious diseases is important in shaping our understanding of disease susceptibility,progression,and treatment.Recent research shows the impact of genetic variations,such as heme-oxygenase promoter length,on diseases like malaria and sepsis,revealing both protective and inconclusive effects.Studies on vaccine responses highlight genetic markers like human leukocyte antigens,emphasizing the potential for personalized immunization strategies.The ongoing battle against drug-resistant tuberculosis(TB)illustrates the complexity of genomic variants in predicting resistance,highlighting the need for integrated diagnostic tools.Additionally,genome-wide association studies reveal antibiotic resistance mechanisms in bacterial genomes,while host genetic polymorphisms,such as those in solute carrier family 11 member 1 and vitamin D receptor,demonstrate their role in TB susceptibility.Advanced techniques like metagenomic next-generation sequencing promise detailed pathogen detection but face challenges in cost and accessibility.A case report involving a highly virulent Mycobacterium TB strain with the pks1 gene further highlights the need for genetic insights in understanding disease severity and developing targeted interventions.This evolving landscape emphasizes the role of genetics in infectious diseases,while also addressing the need for standardized studies and accessible technologies. 展开更多
关键词 Genetic profiling Infectious diseases Tuberculosis virulence pks1 gene Genetic polymorphisms personalized medicine
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Application of Health Action Process Approach Theory in Patients with Type D Personality Psoriasis
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作者 Qian Sun Jing Wang +3 位作者 Yachun Yao Xue Hu Yi Liu Jingjing Liu 《Journal of Biosciences and Medicines》 2025年第2期67-77,共11页
Objective: To explore the effect of Health Action Process Approach (HAPA) theory in patients with type D personality psoriasis. Methods: A total of 66 patients with type D personality psoriasis admitted to the dermato... Objective: To explore the effect of Health Action Process Approach (HAPA) theory in patients with type D personality psoriasis. Methods: A total of 66 patients with type D personality psoriasis admitted to the dermatology department of a top-three hospital in Jingzhou City from November 2022 to July 2023 were selected and divided into control group and test group with 33 cases in each group by random number table method. The control group received routine health education, and the experimental group received health education based on the HAPA theory. Chronic disease self-efficacy scale, hospital anxiety and depression scale and skin disease quality of life scale were used to evaluate the effect of intervention. Results: After 3 months of intervention, the scores of self-efficacy in experimental group were higher than those in control group (P P Conclusion: Health education based on the theory of HAPA can enhance the self-efficacy of patients with type D personality psoriasis, relieve negative emotions and improve their quality of life. 展开更多
关键词 Health Action Process Approach Theory Type D personality PSORIASIS SELF-EFFICACY Negative Emotions Quality of Life
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Integrating Knowledge Graphs and Causal Inference for AI-Driven Personalized Learning in Education
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作者 Liangkeyi SUN 《Artificial Intelligence Education Studies》 2025年第1期41-52,共12页
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
关键词 Artificial Intelligence in Education Knowledge Graphs Causal Inference personalized Learning Adap-tive Learning Systems
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多主体协同开发社区教育课程的PERSONAL模式探索——基于“我爱我家”的个案研究 被引量:1
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作者 陈莉 《继续教育研究》 2024年第3期40-47,共8页
通过对“我爱我家”这一社区自发课程的跟踪调查,发现社区自发课程开发实质上是一个组织学习过程,经过个体直觉、知识解释、知识整合等环节实现组织的制度化学习,在推动学习型无边界组织生成的同时,生成社区教育课程。在这一过程中,政策... 通过对“我爱我家”这一社区自发课程的跟踪调查,发现社区自发课程开发实质上是一个组织学习过程,经过个体直觉、知识解释、知识整合等环节实现组织的制度化学习,在推动学习型无边界组织生成的同时,生成社区教育课程。在这一过程中,政策(policies)支持、专家(expert)指导、区域需求和区域特征(regional)、社区系统(system)、组织化(organization)等多要素叠加发挥作用,通过不断拓展新鲜(new)领域的积极行动(action)整合所有资源,并推动跨越边界的学习(learning)贯穿始终。因此,多主体协同的社区自发课程可以不完全地概括为PERSONAL模式。要以PERSONAL模式发展社区自发课程,需要以学习者为中心,注重发展人际互动,营造有利于跨组织交互学习的教育生态系统。 展开更多
关键词 社区自发课程 组织学习 多主体协同 personal模式
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Justification of and Response to the Specificity of Workers’Personality Rights
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作者 RAO Zhijing ZHOU Yunfan 《The Journal of Human Rights》 2024年第5期1122-1147,共26页
The pervasive existence of subordination in the work-place endows workers’personality rights with a distinct specificity that differs from other civil subjects.The specificity of workers’personality rights is primar... The pervasive existence of subordination in the work-place endows workers’personality rights with a distinct specificity that differs from other civil subjects.The specificity of workers’personality rights is primarily manifested in three aspects:the exercise of rights is restricted by the employer;personality rights infringements often accompany violations of workers’economic property rights;and the scope of rights is not limited to the duration of employment.To respond to the specificity arising in the labor domain,certain disputes concerning workers’personality rights should be handled through labor dispute resolution procedures.In individual cases,judicial authorities should differentiate among protection levels based on the specific type of personality rights involved,with a focus on examining the reasons,methods,and extent of the employer’s restrictive actions,thereby establishing a practical and reasonable review system.。 展开更多
关键词 personality rights WORKPLACE personal freedom human dignity Civil Code
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Beyond Algorithms: A Comprehensive Analysis of AI-Driven Personalization in Strategic Communications
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作者 Natalie Nkembuh 《Journal of Computer and Communications》 2024年第10期112-131,共20页
This comprehensive study investigates the multifaceted impact of AI-powered personalization on strategic communications, delving deeply into its opportunities, challenges, and future directions. Employing a rigorous m... This comprehensive study investigates the multifaceted impact of AI-powered personalization on strategic communications, delving deeply into its opportunities, challenges, and future directions. Employing a rigorous mixed-methods approach, we conduct an in-depth analysis of the effects of AI-driven personalization on audience engagement, brand perception, and conversion rates across various industries and communication channels. Our findings reveal that while AI-powered personalization significantly enhances communication effectiveness and offers unprecedented opportunities for audience connection, it also raises critical ethical considerations and implementation challenges. The study contributes substantially to the growing body of literature on AI in communications, offering both theoretical insights and practical guidelines for professionals navigating this rapidly evolving landscape. Furthermore, we propose a novel framework for ethical AI implementation in strategic communications and outline a robust agenda for future research in this dynamic field. 展开更多
关键词 Artificial Intelligence (AI) Strategic Communications personalIZATION Machine Learning Natural Language Processing (NLP) Customer Engagement Data Analytics Digital Marketing Audience Segmentation Communication Effectiveness AI Ethics Conversion Optimization Predictive Analytics Content personalization Marketing Automation
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Personal Thermal Management by Radiative Cooling and Heating 被引量:2
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作者 Shidong Xue Guanghan Huang +3 位作者 Qing Chen Xungai Wang Jintu Fan Dahua Shou 《Nano-Micro Letters》 SCIE EI CAS CSCD 2024年第8期225-267,共43页
Maintaining thermal comfort within the human body is crucial for optimal health and overall well-being.By merely broadening the setpoint of indoor temperatures,we could significantly slash energy usage in building hea... Maintaining thermal comfort within the human body is crucial for optimal health and overall well-being.By merely broadening the setpoint of indoor temperatures,we could significantly slash energy usage in building heating,ventilation,and air-conditioning systems.In recent years,there has been a surge in advancements in personal thermal management(PTM),aiming to regulate heat and moisture transfer within our immediate surroundings,clothing,and skin.The advent of PTM is driven by the rapid development in nano/micro-materials and energy science and engineering.An emerging research area in PTM is personal radiative thermal management(PRTM),which demonstrates immense potential with its high radiative heat transfer efficiency and ease of regulation.However,it is less taken into account in traditional textiles,and there currently lies a gap in our knowledge and understanding of PRTM.In this review,we aim to present a thorough analysis of advanced textile materials and technologies for PRTM.Specifically,we will introduce and discuss the underlying radiation heat transfer mechanisms,fabrication methods of textiles,and various indoor/outdoor applications in light of their different regulation functionalities,including radiative cooling,radiative heating,and dual-mode thermoregulation.Furthermore,we will shine a light on the current hurdles,propose potential strategies,and delve into future technology trends for PRTM with an emphasis on functionalities and applications. 展开更多
关键词 personal thermal management Radiative cooling and heating Thermal comfort Dynamic thermoregulation
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Personalized medicine:Clinical oncology on molecular view of treatment 被引量:1
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作者 Rafick Costa Dos Santos Da Silva Nathalia de Andrade Simon +5 位作者 AndréAlves Dos Santos Gabriel De Melo Olegário Jayne Ferreira Da Silva Naide Oliveira Sousa Manuel Alvarez Troncoso Corbacho Fabrício Freire de Melo 《World Journal of Clinical Oncology》 2024年第8期992-1001,共10页
Cancer,the second leading global cause of death,impacts both physically and emotionally.Conventional treatments such as surgeries,chemotherapy,and radiotherapy have adverse effects,driving the need for more precise ap... Cancer,the second leading global cause of death,impacts both physically and emotionally.Conventional treatments such as surgeries,chemotherapy,and radiotherapy have adverse effects,driving the need for more precise approaches.Precision medicine enables more targeted treatments.Genetic mapping,alongside other molecular biology approaches,identifies specific genes,contributing to accurate prognoses.The review addresses,in clinical use,a molecular perspective on treatment.Biomarkers like alpha-fetoprotein,beta-human chorionic gonadotropin,5-hydroxyindoleacetic acid,programmed death-1,and cytotoxic T lymphocyte-associated protein 4 are explored,providing valuable information.Bioinformatics,with an emphasis on artificial intelligence,revolutionizes the analysis of biological data,offering more accurate diagnoses.Techniques like liquid biopsy are emphasized for early detection.Precision medicine guides therapeutic strategies based on the molecular characteristics of the tumor,as evidenced in the molecular subtypes of breast cancer.Classifications allow personalized treatments,highlighting the role of trastuzumab and endocrine therapies.Despite the benefits,challenges persist,including high costs,tumor heterogeneity,and ethical issues.Overcoming obstacles requires collaboration,ensuring that advances in molecular biology translate into accessible benefits for all. 展开更多
关键词 ONCOLOGY NEOPLASIA Molecular biology personalized medicine Molecular Markers Cancer
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Effects of personalized oral hygiene management on oral health status of pregnant women 被引量:1
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作者 Xiao-Chen Men Xiao-Pei Du Ying Ji 《World Journal of Clinical Cases》 SCIE 2024年第21期4566-4573,共8页
BACKGROUND The Cariostat caries activity test(CAT)was used to evaluate the effectiveness of personalized oral hygiene management combining oral health education and professional mechanical tooth cleaning on the oral h... BACKGROUND The Cariostat caries activity test(CAT)was used to evaluate the effectiveness of personalized oral hygiene management combining oral health education and professional mechanical tooth cleaning on the oral health status of pregnant women.AIM To investigate whether personalized oral hygiene management enhances the oral health status of pregnant women.METHODS A total of 114 pregnant women who were examined at Dalian Women’s and Children’s Medical Center were divided into four groups:High-risk experimental group(n=29;CAT score≥2;received personalized oral hygiene management training),low-risk experimental group(n=29;CAT score≤1;received oral health education),high-risk control group(n=28;CAT score≥2),and low-risk control group(n=28;CAT score≤1).No hygiene intervention was provided to control groups.CAT scores at different times were compared using independent samples t-test and least significant difference t-test.RESULTS No significant difference in baseline CAT scores was observed between the experimental and control groups,either in the high-risk or low-risk groups.CAT scores were reduced significantly after 3(1.74±0.47 vs 2.50±0.38,P<0.0001)and 6 months(0.53±0.50 vs 2.45±0.42,P<0.0001)of personalized oral hygiene management intervention but not after oral health education alone(0.43±0.39 vs 0.46±0.33,P>0.05 and 0.45±0.36 vs 0.57±0.32,P>0.05,respectively).Within groups,the decrease in CAT scores was significant(2.43±0.44 vs 1.74±0.47 vs 0.53±0.50,P<0.0001)for only the high-risk experimental group.CONCLUSION Personalized oral hygiene management is effective in improving the oral health of pregnant women and can improve pregnancy outcomes and the oral health of the general population. 展开更多
关键词 Oral health care Pregnant women Decayed teeth Cariostat caries activity test Professional mechanical tooth cleaning personalized oral hygiene management
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The Effect of Personalized Comprehensive Care on the Nursing Care of Severe Pneumonia Patients 被引量:2
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作者 Juan Li 《Journal of Clinical and Nursing Research》 2024年第1期71-77,共7页
Objective:To explore the value of receiving personalized comprehensive care for patients with severe pneumonia.Methods:73 patients with severe pneumonia who visited the clinic from February 2020 to February 2023 were ... Objective:To explore the value of receiving personalized comprehensive care for patients with severe pneumonia.Methods:73 patients with severe pneumonia who visited the clinic from February 2020 to February 2023 were included in this study.The patients were randomly grouped into Group A and Group B.Group A received personalized comprehensive care whereas Group B received conventional care.The value of care was compared.Results:The duration of mechanical ventilation time,the time taken for fever and dyspnea relief,and the hospitalization time of Group A were shorter than those in Group B(P<0.05).The blood gas indexes such as PaO_(2),PaCO_(2),and blood pH of Group A were better than those of Group B(P<0.05).The pulmonary function indexes such as peak expiratory flow(PEF),forced vital capacity(FVC),and forced expiratory volume in 1 second(FEV_(1))of Group A were better than those of Group B,P<0.05.Moreover,the patients in Group A were generally more satisfied with the care given compared to the patients in Group B(P<0.05).Conclusion:Personalized comprehensive care improves blood gas indexes,enhances lung function,accelerates the relief of symptoms,and also enhances patient satisfaction in severe pneumonia patients. 展开更多
关键词 Severe pneumonia personalized nursing Comprehensive care
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Framework for Personalized Chronic Pain Management:Harnessing AI and Personality Insights for Effective Care 被引量:1
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作者 Akshi Kumar Rahul Seewal +1 位作者 Dipika Jain Ravleen Kaur 《Journal of Artificial Intelligence and Technology》 2024年第2期132-144,共13页
This paper introduces a cutting-edge framework for personalized chronic pain management,leveraging the power of artificial intelligence(AI)and personality insights.It explores the intricate relationship between person... This paper introduces a cutting-edge framework for personalized chronic pain management,leveraging the power of artificial intelligence(AI)and personality insights.It explores the intricate relationship between personality traits and pain perception,expression,and management,identifying key correlations that influence an individual’s experience of pain.By integrating personality psychology with AI-driven personality assessment,this framework offers a novel approach to tailoring chronic pain management strategies for each patient’s unique personality profile.It highlights the relevance of well-established personality theories such as the Big Five and the Myers-Briggs Type Indicator(MBTI)in shaping personalized pain management plans.Additionally,the paper introduces multimodal AI-driven personality assessment,emphasizing the ethical considerations and data collection processes necessary for its implementation.Through illustrative case studies,the paper exemplifies how this framework can lead to more effective and patient-centered pain relief,ultimately enhancing overall well-being.In conclusion,the paper positions the need of an“AI-Powered Holistic Pain Management Initiative”which has the potential to transform chronic pain management by providing personalized,data-driven solutions and create a multifaceted research impact influencing clinical practice,patient outcomes,healthcare policy,and the broader scientific community’s understanding of personalized medicine and AI-driven interventions. 展开更多
关键词 artificial intelligence health informatics PAIN personality traits
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Correlation of personality with individual reproductive success in shrub-nesting birds depends on their life history style
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作者 Jianchuan Li Wen Zhang +5 位作者 Ningning Sun Yujie Wang Lifang Gao Ran Feng Liqing Fan Bo Du 《Avian Research》 SCIE CSCD 2024年第1期42-49,共8页
Two questions in the research of animal personality—whether there is a correlation between a personality trait and individual reproductive success,and what is the genetic basis underlying a personality trait—remain ... Two questions in the research of animal personality—whether there is a correlation between a personality trait and individual reproductive success,and what is the genetic basis underlying a personality trait—remain unresolved.We addressed these two questions in three shrub-nesting birds,the Azure-winged Magpie(Cyanopica cyanus,AM),White-collared Blackbird(Turdus albocinctus,WB),and Brown-cheeked Laughingthrush(Trochalopteron henrici,BL).The personality type of an individual was first identified according to its response to a territorial intruder.Then,we compared the fleeing distance,breeding parameters,and differential expressed genes(DEGs) in the brain transcriptome between bold and shy breeders.In the three species,bold breeders exhibited more aggressiveness towards an intruder of their territory than did shy breeders.The reproductive success of bold breeders was significantly higher than that of shy breeders in AM but not in WB and BL.The three species shared one DEG,crabp1,which was up-regulated in bold relative to in shy individuals.By regulating the expression of corticotropin-releasing hormone,higher crabp1 gene expression can decrease cellular response to retinoic acid.Therefore,bold individuals are insensitive to external stresses and able to exhibit more aggressiveness to intruders than their shier counterparts.Aggressiveness is beneficial to bold individuals in AM but not in WB and BL because the former could evoke neighbors to make the same response of defending against intruders but the latter could not.Although a personality trait may have the same genetic basis across species,its correlation with reproductive success depends largely on the life history style of a species. 展开更多
关键词 BOLDNESS Life history style personalITY Reproductive success Transcriptome analysis
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Mutations in Ras homolog family member A in patients with peripheral T-cell lymphoma and implications for personalized medicine
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作者 Lina Hu Xuanye Zhang Shengbing Zang 《Cancer Biology & Medicine》 SCIE CAS CSCD 2024年第9期754-768,共15页
Genome sequencing has revealed frequent mutations in Ras homolog family member A(RHOA)among various cancers with unique aberrant profiles and pathogenic effects,especially in peripheral T-cell lymphoma(PTCL).The discr... Genome sequencing has revealed frequent mutations in Ras homolog family member A(RHOA)among various cancers with unique aberrant profiles and pathogenic effects,especially in peripheral T-cell lymphoma(PTCL).The discrete positional distribution and types of RHOA amino acid substitutions vary according to the tumor type,thereby leading to different functional and biological properties,which provide new insight into the molecular pathogenesis and potential targeted therapies for various tumors.However,the similarities and discrepancies in characteristics of RHOA mutations among various histologic subtypes of PTCL have not been fully elucidated.Herein we highlight the inconsistencies and complexities of the type and location of RHOA mutations and demonstrate the contribution of RHOA variants to the pathogenesis of PTCL by combining epigenetic abnormalities and activating multiple downstream pathways.The promising potential of targeting RHOA as a therapeutic modality is also outlined.This review provides new insight in the field of personalized medicine to improve the clinical outcomes for patients. 展开更多
关键词 Drug target MUTATION PATHOGENESIS personalized medicine peripheral T-cell lymphoma Ras homolog family member A
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Research on Multi-modal In-Vehicle Intelligent Personal Assistant Design
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作者 WANG Jia-rou TANG Cheng-xin SHUAI Liang-ying 《印刷与数字媒体技术研究》 CAS 北大核心 2024年第4期136-146,共11页
Intelligent personal assistants play a pivotal role in in-vehicle systems,significantly enhancing life efficiency,driving safety,and decision-making support.In this study,the multi-modal design elements of intelligent... Intelligent personal assistants play a pivotal role in in-vehicle systems,significantly enhancing life efficiency,driving safety,and decision-making support.In this study,the multi-modal design elements of intelligent personal assistants within the context of visual,auditory,and somatosensory interactions with drivers were discussed.Their impact on the driver’s psychological state through various modes such as visual imagery,voice interaction,and gesture interaction were explored.The study also introduced innovative designs for in-vehicle intelligent personal assistants,incorporating design principles such as driver-centricity,prioritizing passenger safety,and utilizing timely feedback as a criterion.Additionally,the study employed design methods like driver behavior research and driving situation analysis to enhance the emotional connection between drivers and their vehicles,ultimately improving driver satisfaction and trust. 展开更多
关键词 Intelligent personal assistants Multi-modal design User psychology In-vehicle interaction Voice interaction Emotional design
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Transforming Healthcare:AI-NLP Fusion Framework for Precision Decision-Making and Personalized Care Optimization in the Era of IoMT
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作者 Soha Rawas Cerine Tafran +1 位作者 Duaa AlSaeed Nadia Al-Ghreimil 《Computers, Materials & Continua》 SCIE EI 2024年第12期4575-4601,共27页
In the rapidly evolving landscape of healthcare,the integration of Artificial Intelligence(AI)and Natural Language Processing(NLP)holds immense promise for revolutionizing data analytics and decision-making processes.... In the rapidly evolving landscape of healthcare,the integration of Artificial Intelligence(AI)and Natural Language Processing(NLP)holds immense promise for revolutionizing data analytics and decision-making processes.Current techniques for personalized medicine,disease diagnosis,treatment recommendations,and resource optimization in the Internet of Medical Things(IoMT)vary widely,including methods such as rule-based systems,machine learning algorithms,and data-driven approaches.However,many of these techniques face limitations in accuracy,scalability,and adaptability to complex clinical scenarios.This study investigates the synergistic potential of AI-driven optimization techniques and NLP applications in the context of the IoMT.Through the integration of advanced data analytics methodologies with NLP capabilities,we propose a comprehensive framework designed to enhance personalized medicine,streamline disease diagnosis,provide treatment recommendations,and optimize resource allocation.Using a systematic methodology data was collected from open data repositories,then preprocessed using data cleaning,missing value imputation,feature engineering,and data normalization and scaling.Optimization algorithms,such as Gradient Descent,Adam Optimization,and Stochastic Gradient Descent,were employed in the framework to enhance model performance.These were integrated with NLP processes,including Text Preprocessing,Tokenization,and Sentiment Analysis to facilitate comprehensive analysis of the data to provide actionable insights from the vast streams of data generated by IoMT devices.Lastly,through a synthesis of existing research and real-world case studies,we demonstrated the impact of AI-NLP fusion on healthcare outcomes and operational efficiency.The simulation produced compelling results,achieving an average diagnostic accuracy of 93.5%for the given scenarios,and excelled even further in instances involving rare diseases,achieving an accuracy rate of 98%.With regard to patient-specific treatment plans it generated them with an average precision of 96.7%.Improvements in early risk stratification and enhanced documentation were also noted.Furthermore,the study addresses ethical considerations and challenges associated with deploying AI and NLP in healthcare decision-making processes,offering insights into risk-mitigating strategies.This research contributes to advancing the understanding of AI-driven optimization algorithms in healthcare data analytics,with implications for healthcare practitioners,researchers,and policymakers.By leveraging AI and NLP technologies in IoMT environments,this study paves the way for innovative strategies to enhance patient care and operational effectiveness.Ultimately,this work underscores the transformative potential of AI-NLP fusion in shaping the future of healthcare. 展开更多
关键词 AI healthcare NLP Internet of Medical Things(IoMT) personalized medicine predictive analytics decision support
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Compensatory Damages in Personal Information Public Interest Litigation in China: Challenges and Prospects
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作者 Qi Haixia 《科技与法律(中英文)》 CSSCI 2024年第6期138-148,共11页
In contrast to private interest litigation,public interest litigation provides a more potent solution to personal information infringements marked by extensive scope,unspecified victims,and limited individual loss.How... In contrast to private interest litigation,public interest litigation provides a more potent solution to personal information infringements marked by extensive scope,unspecified victims,and limited individual loss.However,com⁃pensatory damages remain a contentious issue,both in theory and in practice,within the legal framework of personal in⁃formation public interest litigation.Through an empirical study conducted within China's judicial practice,this paper reveals that the pending issue concerning the nature and function of compensatory damages has caused highly contra⁃dictory verdicts regarding their calculation and allocation,as well as their relationship with other forms of pecuniary li⁃abilities.Only by acknowledging the role of compensatory damages imposed in personal information public interest liti⁃gation as"Skimming off Excess Profits",and affirming their function as deterrence rather than compensation can they truly achieve the broader objective of safeguarding personal information security and promoting public welfare,as well as avoid disrupting the harmony of the existing legal landscape. 展开更多
关键词 personal information protection compensatory damages public interest litigation skimming-off excess profits equal liability
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