Framework for Personalized Chronic Pain Management:Harnessing AI and Personality Insights for Effective Care

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.

Correlation of personality with individual reproductive success in shrub-nesting birds depends on their life history style

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.

Personality Trait Detection via Transfer Learning

Personality recognition plays a pivotal role when developing user-centric solutions such as recommender systems or decision support systems across various domains,including education,e-commerce,or human resources.Tra-ditional machine learning techniques have been broadly employed for personality trait identification;nevertheless,the development of new technologies based on deep learning has led to new opportunities to improve their performance.This study focuses on the capabilities of pre-trained language models such as BERT,RoBERTa,ALBERT,ELECTRA,ERNIE,or XLNet,to deal with the task of personality recognition.These models are able to capture structural features from textual content and comprehend a multitude of language facets and complex features such as hierarchical relationships or long-term dependencies.This makes them suitable to classify multi-label personality traits from reviews while mitigating computational costs.The focus of this approach centers on developing an architecture based on different layers able to capture the semantic context and structural features from texts.Moreover,it is able to fine-tune the previous models using the MyPersonality dataset,which comprises 9,917 status updates contributed by 250 Facebook users.These status updates are categorized according to the well-known Big Five personality model,setting the stage for a comprehensive exploration of personality traits.To test the proposal,a set of experiments have been performed using different metrics such as the exact match ratio,hamming loss,zero-one-loss,precision,recall,F1-score,and weighted averages.The results reveal ERNIE is the top-performing model,achieving an exact match ratio of 72.32%,an accuracy rate of 87.17%,and 84.41%of F1-score.The findings demonstrate that the tested models substantially outperform other state-of-the-art studies,enhancing the accuracy by at least 3%and confirming them as powerful tools for personality recognition.These findings represent substantial advancements in personality recognition,making them appropriate for the development of user-centric applications.

The Impact of Big Five Personality Traits on Older Europeans’ Physical Health

Investigating the role of Big Five personality traits in relation to various health outcomes has been extensively studied. The impact of “Big Five” on physical health is here explored for older Europeans with a focus on examining age groups differences. The study sample included 378,500 respondents derived from the seventh data wave of Survey of Health, Aging and Retirement in Europe (SHARE). The physical health status of older Europeans was estimated by constructing an index considering the combined effect of well-established health indicators such as the number of chronic diseases, mobility limitations, limitations with basic and instrumental activities of daily living, and self-perceived health. This index was used for an overall physical health assessment, for which the higher the score for an individual, the worst health level. Then, through a dichotomization process applied to the retrieved Principal Component Analysis scores, a two-group discrimination (good or bad health status) of SHARE participants was obtained as regards their physical health condition, allowing for further con-structing logistic regression models to assess the predictive significance of “Big Five” and their protective role for physical health. Results showed that neuroti-cism was the most significant predictor of physical health for all age groups un-der consideration, while extraversion, agreeableness and openness were not found to significantly affect the self-reported physical health levels of midlife adults aged 50 up to 64. Older adults aged 65 up to 79 were more prone to open-ness, whereas the oldest old individuals aged 80 up to 105 were mainly affected by openness and conscientiousness. .

Justification of and Response to the Specificity of Workers’Personality Rights

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’per-sonality 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 la-bor dispute resolution procedures.In individual cases,judicial author-ities should differentiate among protection levels based on the specific type of personality rights involved,with a focus on examining the rea-sons,methods,and extent of the employer’s restrictive actions,thereby establishing a practical and reasonable review system.。

Cognitive impairment in patients with bipolar disorder alone versus those with bipolar disorder comorbid with borderline personality disorder

BACKGROUND Bipolar disorder(BD)is a severe mental illness.BD often coexists with borderline personality disorders,making the condition more complex.AIM To explore the differences in cognitive impairment between patients with BD and those with BD comorbid with borderline personality disorder.METHODS Eighty patients with BD and comorbid borderline personality disorder and 80 patients with BD alone were included in groups A and B,respectively,and 80 healthy volunteers were included as controls.Cognitive function in each group was evaluated using the Chinese version of the repeatable battery for the assess-ment of neuropsychological status(RBANS),the Stroop color-word test,and the Wechsler intelligence scale-revised(WAIS-RC).RESULTS The indices of the RBANS,Stroop color-word test,and WAIS-RC in groups A and B were significantly lower than those of the control group(P<0.05).Group A had significantly longer Stroop color-word test times for single-character,single-color,double-character,and double-color,lower scores of immediate memory,visual breadth,verbal function dimensions and total score of the RBANS,as well as lower scores of verbal IQ,performance IQ,and overall IQ of the WAIS-RC compared with group B(P<0.05).Compared to group B,group A exhibited significantly longer single-character time,single-color time,double-character time,and double-color time in the Stroop color-word test(P<0.05).CONCLUSION The cognitive function of patients with BD complicated with borderline personality disorder is lower than that of patients with BD.

Personality:人格还是个性

Personality在我国心理学中的译名既可谓人格,也可谓个性。这一奇特的现象是中国的特色。文章考察了它们在中国的沿革及personality在西方的原意和演变,分析了其形成和存在的原因,提出了解决这一问题主张和建议。

元宇宙下虚拟数字人信息保护的困境与解决路径

元宇宙下虚拟数字人信息与元宇宙用户信息实时传递,具有同步性,但相较于以自然人为主体的个人信息保护,虚拟数字人信息缺少相应的监管与保护措施,泄露风险加剧。现有立法无法对虚拟数字人信息保护的适用范围、责任认定等核心内容提供精细指引。基于此,当前应立足民法保护、算法技术归责以及行业规范三维路径。首先,确定虚拟数字人法律主体地位、厘清虚拟数字人信息保护范围;其次,建立算法数字技术归责体系,明确责任承担方式;最后,确定元宇宙平台的准入标准、明晰企业的权利义务。

Educational Leader's Personality Style Inventory in K12 and Higher Education Levels

The research introduced the application of Personality Style Inventory on two levels of educational leaders: K12 level and higher education level, including both American and Chinese school leaders. Through comparing and contrasting of personality types at different levels, it is revealed that educational leaders in different levels have different personal characteristics and the researcher tries to find out how the Personality Style Inventory can improve the leadership practice.

邻域信息约束融合Student's t混合模型的医学图像分割

医学图像的高噪声以及偏移场的存在使得传统图像分割方法在分割此类图像时分割效果不理想.针对上述问题,提出一种邻域信息约束融合Student's t混合模型分割算法.首先,获取像素点的邻域信息进行滤波操作以达到降噪效果;其次,构建Student's t混合模型,通过噪声平滑因子融合邻域信息约束修正先验概率;最后,利用最大期望(EM)算法求解,获取最大后验概率实现图像分割.实验结果采用DICE指标验证了算法的有效性.

Revolutionizing diabetic retinopathy screening and management:The role of artificial intelligence and machine learning

Diabetic retinopathy(DR)remains a leading cause of vision impairment and blindness among individuals with diabetes,necessitating innovative approaches to screening and management.This editorial explores the transformative potential of artificial intelligence(AI)and machine learning(ML)in revolutionizing DR care.AI and ML technologies have demonstrated remarkable advancements in enhancing the accuracy,efficiency,and accessibility of DR screening,helping to overcome barriers to early detection.These technologies leverage vast datasets to identify patterns and predict disease progression with unprecedented precision,enabling clinicians to make more informed decisions.Furthermore,AI-driven solutions hold promise in personalizing management strategies for DR,incorpo-rating predictive analytics to tailor interventions and optimize treatment path-ways.By automating routine tasks,AI can reduce the burden on healthcare providers,allowing for a more focused allocation of resources towards complex patient care.This review aims to evaluate the current advancements and applic-ations of AI and ML in DR screening,and to discuss the potential of these techno-logies in developing personalized management strategies,ultimately aiming to improve patient outcomes and reduce the global burden of DR.The integration of AI and ML in DR care represents a paradigm shift,offering a glimpse into the future of ophthalmic healthcare.

人不是物:社会认知的稽古维新

当代社会认知的理论版图可分为经典概念工具箱与正在与之对抗的新概念工具两部分。经考证,理论论和模拟论等经典概念工具集中诞生于1980年代的美国认知科学界,可以被视为1956认知革命蔓延至社会心理学领域的产物,而新概念工具可以被视为与第二代认知革命相适合的替代理论。历史上,社会心理学接受了认知主义的“物”的抽象认知原理,也全盘接受了它带来的理论负荷,即对“人”的感知被还原为对“物”的感知,并且隶属于后者。然而,基于“物”的抽象认知原理始终无法与社会认知的以“人”为本的实践经验相结合,也未能实现该领域的自治。事实上,这一理论困难并非一直存在于“社会认知”的历史路径中,至少在以Heider为标志性人物的1950年代早期社会认知中便不是这样。Heider“人不是物”理论体系在个体层面上包括知觉实在论、事件归因和生命性−非生命性范畴区分三个部分,但是第三个理论部件彼时囿于作者主题侧重、证据不足、技术匮乏等多种原因未能完成。结合当代来自演化和比较的、行为和发展的以及神经通路假设的新证据,通过重新发掘并最终完整构建了“人不是物”论题,尝试为当代社会认知理论困难提供一个建设性意见。

Brain-derived neurotrophic factor alterations and cognitive decline in schizophrenia:Implications for early intervention

This manuscript explores the recent study by Cui et al which assessed the interplay between inflammatory cytokines and brain-derived neurotrophic factor(BDNF)levels in first-episode schizophrenia patients.The study revealed that higher levels of interleukin-6 and tumor necrosis factor-αcorrelated with reduced BDNF levels and poorer cognitive performance.Schizophrenia is a severe psy-chiatric disorder impacting approximately 1%of the global population,charac-terized by positive symptoms(hallucinations and delusions),negative symptoms(diminished motivation and cognitive impairments)and disorganized thoughts and behaviors.Emerging research highlights the role of BDNF as a potential biomarker for early diagnosis and therapeutic targeting.The findings from Cui et al’s study suggest that targeting neuroinflammation and enhancing BDNF levels may improve cognitive outcomes.Effective treatment approaches involve a com-bination of pharmacological and non-pharmacological interventions tailored to individual patient needs.Hence,monitoring cognitive and neuroinflammatory markers is essential for improving patient outcomes and quality of life.Conse-quently,this manuscript highlights the need for an integrated approach to schizo-phrenia management,considering both clinical symptoms and underlying neuro-biological changes.

Spastin and alsin protein interactome analyses begin to reveal key canonical pathways and suggest novel druggable targets

Developing effective and long-term treatment strategies for rare and complex neurodegenerative diseases is challenging. One of the major roadblocks is the extensive heterogeneity among patients. This hinders understanding the underlying disease-causing mechanisms and building solutions that have implications for a broad spectrum of patients. One potential solution is to develop personalized medicine approaches based on strategies that target the most prevalent cellular events that are perturbed in patients. Especially in patients with a known genetic mutation, it may be possible to understand how these mutations contribute to problems that lead to neurodegeneration. Protein–protein interaction analyses offer great advantages for revealing how proteins interact, which cellular events are primarily involved in these interactions, and how they become affected when key genes are mutated in patients. This line of investigation also suggests novel druggable targets for patients with different mutations. Here, we focus on alsin and spastin, two proteins that are identified as “causative” for amyotrophic lateral sclerosis and hereditary spastic paraplegia, respectively, when mutated. Our review analyzes the protein interactome for alsin and spastin, the canonical pathways that are primarily important for each protein domain, as well as compounds that are either Food and Drug Administration–approved or are in active clinical trials concerning the affected cellular pathways. This line of research begins to pave the way for personalized medicine approaches that are desperately needed for rare neurodegenerative diseases that are complex and heterogeneous.

人格判断能力的老化:信息量的调节作用

人格判断对个体社会功能的发挥具有重要影响。本研究采用2(判断者年龄组:老年、年轻)×3(目标人物信息量:单一、中等、丰富)被试间实验设计,考察了信息量对老年人和年轻人人格判断准确性的影响,包括普遍准确性(对目标人物所在群体人格共性判断的准确性)和特有准确性(对目标人物个体人格判断的准确性)。结果显示,老年人人格判断的普遍准确性高于年轻人,且信息量的多少并不影响这一年长优势。信息量只影响特有准确性判断的年龄差异:单一信息量(仅实时文字)时,老年人的特有准确性低于年轻人;中等(实时文字和声音)和丰富信息量(实时文字、声音和图像)时,二者表现相当。综上,老年人的人格判断能力总体保持较好,且能有效利用增量信息来弥补与年轻人在特有准确性上的差距。

Revisiting dexamethasone dosage in COVID-19 management

The ongoing coronavirus disease 2019(COVID-19)pandemic has necessitated rapid advancements in therapeutic strategies,with dexamethasone emerging as a key treatment for severe cases.This editorial discusses the systematic review conducted by Sethi et al,published in the World Journal of Virology.The review critically examines the efficacy and safety of varying dosages of dexamethasone in severe COVID-19 patients,providing a comprehensive meta-analysis that underscores the current clinical recommendations favoring a low-dose regimen.Despite these findings,the review highlights the potential benefits of tailored dosages for specific patient subgroups,suggesting a need for personalized treatment approaches.This editorial expands on the implications of these findings,advocating for the integration of evolving clinical data into treatment protocols and calling for further research into patient-specific responses to therapy.It emphasizes the importance of adaptability and precision in pandemic response,urging the medical community to consider both the robustness of existing evidence and the potential for innovative approaches to enhance patient outcomes in the face of global health challenges.

数字化精准全膝关节置换与传统置换方法的短期效果对比

背景:传统全膝关节置换手术在术前的准备有限,作者提出基于计算机仿真和3D打印技术的数字化精准全膝置换方法,旨在通过充分的术前设计来提升置换效果。目的:利用计算机仿真和个性化手术导板建立数字化精准全膝关节置换方法,比较新方法和传统方法的临床效果。方法:回顾性分析97例全膝关节置换患者的临床资料,根据手术方法将患者分为2组,对照组(n=48)采取传统方式进行全膝关节置换手术,使用传统胶片模板;观察组(n=49)采用数字化精准全膝置换方法进行手术,使用计算机辅助技术选定假体尺寸型号。比较两组患者的手术时间、术中出血量、术前及术后美国特种外科医院膝关节评分以及股骨力线和膝关节面线夹角和胫骨角、髋膝踝角与标准角度的差值。结果与结论:(1)两组患者术前性别、年龄、体质量指数、美国特种外科医院膝关节评分,以及胫骨角、股骨力线和膝关节面线夹角、髋膝踝角与标准角度的差值相比差异均无显著性意义(P> 0.05);(2)与对照组比较,观察组手术时间缩短、出血量减少;两组术后3个月膝关节美国特种外科医院膝关节评分对比术前均显著升高(P> 0.05),且术后3个月观察组评分高于对照组(P> 0.05);(3)两组之间胫骨角、股骨力线和膝关节面线夹角、髋膝踝角与标准角度的差值相比差异均有显著性意义,观察组优于对照组(P <0.05);(4)观察组股骨假体预测准确率为94%,对照组为58%;胫骨假体预测准确率为96%,对照组为62%;(5)提示数字化精准全膝关节置换相较传统全膝关节置换的手术时间更短、出血量更少、术后膝关节功能评分和力线恢复更好,具有良好的短期临床效果。

乌尔第三王朝的重名和规避国王名讳现象

在古代两河文明的进程中,乌尔第三王朝是经济、文化发展的鼎盛时期,留存下来的泥板文献数以万计。在这一时期的文献中,数以千计的人名中重名者较多,但未见与国王重名者,这一现象是对乌尔第三王朝的楔形文文献断代的一个重要依据,亦是判断相关人名的释读是否正确的重要参考。在已出版的研究成果中,部分学者因对该时期人名避国王名讳的情况重视不足,在文献释读的过程中出现了误读。

声音保护“参照适用”的教义解释

《民法典》第一千零二十三条第二款首次对声音保护采用“参照适用”的准用性立法技术,但是存在操作路径不明确的问题。首先,对《民法典》第一千零二十三条第二款的调整范围展开教义解释,作为参照适用主体的“声音保护”中的“保护”指除“资格确认”外的全部事项,对“声音”应作“声音利益”之理解;作为参照适用客体的“有关规定”不受本章或本编范围之限制。其次,对声音保护可供参引的规范范围进行限缩,可构成触发“参照适用之例外”的“差异性”限于侵权形态差异和保护位阶差异。在涉及“差异性”的场合,宜以《民法典》第九百九十八条为依据实现声音侵权责任的认定,其余归入“相似性”的部分可援引肖像权保护的规定。

A Study on Ruth's Personality Structure in Martin Eden

In Martin Eden,the development of the relationship between Martin and Ruth falls into three stages.During the first stage of their acquaintance,Ruth’s ego and super-ego vanquish her id transitorily.In the second stage of intimacy,Ruth is strongly manipulated by her super-ego that mainly originates from her Electra complex.Consequently,she attempts to re-mould Martin in the shape of her father,but in vain.When it comes to the third stage of relationship break-down,obliged to moralities and norms,Ruth chooses to end their relationships.