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

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。

沉默MARK4通过NF-κB信号通路抑制溃疡性结肠炎细胞焦亡和炎症因子表达

目的探讨MARK4(microtubule-affinity regulating kinase 4,MARK4)在脂多糖(lipopolysaccharide,LPS)诱导的FHC细胞溃疡性结肠炎(ulcerative colitis,UC)模型中对FHC细胞焦亡、炎症因子释放和肠道屏障相关蛋白表达的影响及其可能分子机制。方法采用Western blot检测UC患者、健康人群结肠组织和LPS诱导的FHC细胞炎症模型中MARK4和细胞焦亡相关的因子Caspase-1、NLRP3和GSDMD的表达水平;通过质粒转染shRNA沉默FHC细胞中MARK4,在正常对照组、LPS组和沉默MARK4+LPS组中采用Western blot分别检测Caspase-1、NLRP3、GSDMD、肠道屏障相关蛋白和NF-κB信号通路相关蛋白的表达水平;ELISA和RT-qPCR检测炎症因子IL-1β、IL-6和TNF-α表达水平;流式细胞术检测细胞凋亡情况。结果在UC患者结肠组织和LPS诱导FHC细胞体外UC炎症模型中MARK4和焦亡相关蛋白包括NLRP3、Caspase-1和GSDMD的表达水平显著升高。沉默MARK4能够抑制LPS诱导FHC细胞中焦亡相关蛋白NLRP3、Caspase-1、GSDMD表达水平,下调炎症相关细胞因子IL-1β、IL-6和TNF-α的表达水平,抑制FHC细胞凋亡,上调肠道屏障相关蛋白ZO-1、Occludin表达和上调Claudin2的表达水平。GSEA富集分析显示,MARK4与NF-κB信号通路呈正相关。沉默MARK4能够抑制NF-κB信号通路中p-P65、p-IKKα的表达水平。结论MARK4在UC组织和细胞中显著高表达,沉默MARK4能够通过阻滞NF-κB信号通路激活,进而抑制UC细胞焦亡和炎症因子表达。MARK4可能成为UC患者治疗的一个潜在靶点。

Redox, immune and genetic biomarker system for personalized treatments in colorectal cancer

BACKGROUND Identifying biomarkers for the risk of developing degenerative processes linked to aging and colorectal cancer(CRC) onset that could improve clinical strategies.AIM To determine valid targets and a predictive biomarker's system of chronicization of inflammation for cancer treatment.METHODS A group of 147 CRC patients was studied. Clinical diagnosis was confirmed histopathologically, and patients were sub-typed using the pathological tumornode-metastasis classification. Thirteen colon adenoma patients and 219 healthy subjects were also studied. A system biology study on Thioredoxin1/CD30 redox-immune systems(Trx1/CD30), T helper cytokines and polymorphisms of killer immunoglobulin-like receptors, FcγRIIa-131 H/R and FcγRIIIa-158 V/F was carried out. Enzyme-linked immunosorbent assay was performed to analyze sera.Genetic study was executed by polymerase chain reaction sequence-specific primers and sequence-based typing method. Statistical analysis was performed by using the "Statgraphics software systems".RESULTS We found a positive increase between Trx1/RTrx1 levels and sCD30 level and increased age. With respect to the gender relationships, there were distinct differences. Females showed a primary relationship between transforming growth factor beta(TGFβ) with Trx1, whereas males had one with TGFβ and RTrx1. Trx1/CD30 controls the redox immune homeostasis, and an imbalance in the relationship between the Trx1/RTrx1 and sCD30 levels is linked to the onset and progression of tumor. This event happens through different gender-specific cytokine pathways. Our study demonstrated that the serum levels ofTrx1/RTrx1, TGFβ/interleukin(IL)6 and TGFβ/IL4 combinations and the sCD30,IFNγ and IL2 combination constitute a predictive gender specific biomarker system. This is relevant for clinical screening to detect the risk of the potential development or progression of a tumor.CONCLUSION Oxidative stress on Trx1/CD30 is a trigger of cancer disease, and the selected oxidation and immune products are a biomarker system for aging and cancer.

基于三圆轨迹规划的MARKⅢ型LNG薄膜舱波纹板机器人焊接

MARKⅢ型LNG薄膜舱波纹板的焊接质量是LNG船建造成功与否的关键之一。为了实现MARKⅢ型LNG薄膜舱1.2mm厚304L不锈钢波纹板的机器人焊接,研究了基于“三圆”连接构思的波纹板机器人焊接的轨迹规划模型,通过模型计算了沿波纹板轨迹焊接过程中的焊枪位置和焊枪姿态坐标,并对模型和计算的结果进行了仿真验证;在此基础上,进行了不锈钢波纹板机器人搭接焊的脉冲等离子弧焊的工艺优化研究。结果表明:本文建立的波纹板机器人焊接的“三圆”轨迹规划模型以及基于该模型计算的焊枪位姿坐标准确;基于模型和计算,结合优化后的脉冲等离子弧焊工艺参数,实现了焊缝成形良好的MARKⅢ型LNG薄膜舱1.2mm厚304L不锈钢波纹板搭接的机器人焊接,焊缝成形达到了法国GTT公司标准文件中提供的成形尺寸标准。

Personal Thermal Management by Radiative Cooling and Heating

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.

The Personal Information Protection Act comes into force soon Corporate Data Security Market Is Expected to Stay Solid

On August 20,the 30th meeting of the Standing Committee of the 13th National People’s Congress passed the Personal Information Protection Law of the People’s Republic of China (the law),which will come into force on November1,2021.Following the Cyber Security Law in 2016 and the Data Security Law in June2021,the Personal Information Protection Law further clarifies the principles for the collection and disposal of personal information,marking the establishment of a comprehensive legal safeguard system for information security in China.

Combining User-Driven Social Marketing with System-Driven Personalized Recommendation for Student Finding

Student selection is of crucial importance for supervisors who are choosing students for postgraduate studies or research projects.Due to the challenge of asymmetric information,it is difficult for them to find suitable candidates.The existing methods do not work so well in the web 2.0 context which is inundated with vast online information.In order to overcome the deficiency,a research social network enhanced approach is proposed to provide decision support.It appeals to supervisors to adopt the proposed user-driven social marketing strategy.Meanwhile,this study mainly presents a system-driven personalized recommendation approach to support supervisors'decisions of student selection.The proposed method distinguishes supervisors based on their co-author networks to extract their potential preferences of collaboration styles.Subsequently,corresponding recommendation strategies are employed to provide personalized student recommendation services for targeted supervisors.A prototype is implemented on ScholarMate which provides online communication channels for researchers.A user study is conducted to verify the effectiveness of the proposed approach.The results enlighten designers to consider the differences among different users when designing recommendation strategies.

运动对孤独症谱系障碍大鼠内侧前额叶皮层树突棘重塑的影响及MARK1/MAP1A/PSD-95通路的作用

目的:探讨游泳结合转轮跑步运动干预对丙戊酸(valproic acid,VPA)诱导的孤独症谱系障碍(autism spectrum disorder,ASD)大鼠内侧前额叶皮层树突棘结构重塑的影响,以及微管亲和力调节激酶1(microtubule affinity regulating kinase 1,MARK1)、微管相关蛋白1A(microtubule-associated protein 1A,MAP1A)和突触后致密蛋白95(postsynaptic density protein-95,PSD-95)的作用。方法:通过妊娠期VPA或生理盐水暴露的方法收集雄性子代制备ASD模型大鼠及对照大鼠,随机分为运动组和静置组,每组9~11只。采用三箱社交实验评价运动对ASD大鼠社交行为的影响,荧光示踪病毒局部感染观察内侧前额叶皮层亚区边缘前皮层(prelimbic cortex,PrL)和边缘下皮层(infralimbic cortex,IL)树突棘密度和形态,Western blot检测PSD-95和突触小泡蛋白(synaptophysin,Syn)蛋白表达,RNA原位杂交检测MARK1、MAP1A和PSD-95阳性颗粒数及共定位情况。结果:与对照组相比,ASD模型组大鼠社交行为存在缺陷,表现为在陌生大鼠箱体的活动时间、嗅探陌生大鼠的时间和频率均显著减少(P<0.05);经过运动干预后ASD大鼠的社交行为显著改善。树突棘形态观察发现ASD大鼠PrL区而不是IL区总树突棘密度显著增加,主要表现为蘑菇型和短粗型树突棘密度增加(P<0.05);运动干预能有效改善树突棘异常重塑。Western blot发现运动干预能有效逆转ASD大鼠PrL区的PSD-95蛋白表达上升的趋势;而PrL区的Syn及IL区的PSD-95和Syn蛋白表达在各组均无统计学差异。RNA原位杂交发现运动干预能有效降低ASD大鼠PrL区异常增多的MARK1、MAP1A和PSD-95的RNA阳性颗粒数,降低MARK1+MAP1A、MARK1+PSD-95和MAP1A+PSD-95的共定位。结论:运动干预可能通过PrL区MARK1/MAP1A/PSD-95分子通路改善ASD大鼠树突棘结构重塑,从而改善社交相关行为障碍。

Personalized Perioperative Care for a Patient with a 10-Year-Old Postpartum Old Thrombus after Neoadjuvant Therapy for Breast Cancer

Breast cancer is one of the most common malignant tumors in women, and has become the main cause threatening women’s health. A case of breast cancer with neoadjuvant chemotherapy was discharged after active treatment and nursing.

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.

Status and Prospect of the Beauty and Personal Care Market in China

The Chinese beauty and personal care market has been mainly dominated by big foreign brands such as L＇Oreal and Maybelline, due to their good product reputation, high quality and other advantages. On the back of ＂Korean Wave＂ in China, the Korean cosmetics are expanding their presence in the Chinese market. Local companies must upgrade their brand image and enhance the competitiveness of their brands in the high-end market. In the future, with the increase of people＇s purchasing power, and the demand for high-end cosmetics, the competition in the Chinese cosmetic market will become fiercer.

Methods to prevent side marks from rusting on heavy steel plates

When a steel plate produced by a steel plant leaves the factory,its upper surface should be marked with the specification,variety,batch number,and other identifying information,and its side should be marked with a side marking.The side marking contains the plate number,specification,batch number,and other information,which are convenient for customers to accurately identify relevant information after stacking.However,because of the influence of weather,environment,and other factors,the side marking becomes unidentifiable when the steel plate is corroded,affecting the customer’s loading,unloading,and other operations.The development and application of side anticorrosion devices and cleaning of finished heavy steel plates with antirust agents will solve the problem of unrecognizable side marking due to corrosion.

Mutations in Ras homolog family member A in patients with peripheral T-cell lymphoma and implications for personalized medicine

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.

基于机器视觉的工件Mark点快速提取方法研究

在现代化工业生产流程中,工件Mark点类型繁多且提取过程既复杂又低效。为解决这一问题,提出了一种基于机器视觉的工件Mark点快速提取的方法。首先,使用工业相机采集原始图像,然后对图像进行预处理以减少噪声和锯齿的影响。随后,针对目标边缘提取繁琐且不准确的问题,提出一种基于OpenCV的卡尺工具算法,该算法通过在检测边缘周围产生等大等距的测量矩形,利用亚像素图像及改进的Canny边缘检测算子获得测量矩形内的最佳边缘点,再利用基于梯度下降法的最小二乘法来进行直线或圆的拟合,通过该算法可以快速高效地获得工件的直线或圆边缘。最后,通过组合这些直线或圆边缘来获得所需的Mark点。实验证明,该方法可以快速而准确地拟合工件的直线边缘或圆边缘,并最终成功获取到相应的Mark点,定位精度可达到亚像素级,且具有较高的稳定性。

Autoimmune hepatitis:Towards a personalized treatment

Autoimmune hepatitis is an uncommon condition that affects both adults and children and is characterized by chronic and recurrent inflammatory activity in the liver.This inflammation is accompanied by elevated IgG and autoantibody levels.Historically,treatment consists of steroids with the addition of azathioprine,which results in remission in approximately 80%of patients.Despite significant advancements in our understanding of the immune system over the past two decades,few modifications have been made to treatment algorithms,which have remained largely unchanged since they were first proposed more than 40 years ago.This review summarized the various treatment options currently available as well as our experiences using them.Although steroids are the standard treatment for induction therapy,other medications may be considered.Cyclosporin A,a calcineurin inhibitor that decreases T cell activation,has proven effective for induction of remission,but its long-term side effects limit its appeal for maintenance.Tacrolimus,a drug belonging to the same family,has been used in patients with refractory diseases with fewer side effects.Sirolimus and everolimus have interesting effects on regulatory T cell populations and may become viable options in the future.Mycophenolate mofetil is not effective for induction but is a valid alternative for patients who are intolerant to azathioprine.B celldepleting drugs,such as rituximab and belimumab,have been successfully used in refractory cases and are useful in both the short and long term.Other promising treatments include anti-tumor necrosis factors,Janus kinases inhibitors,and chimeric antigen receptor T cell therapy.This growing armamentarium allows us to imagine a more tailored approach to the treatment of autoimmune hepatitis in the near future.

Personalized Lower Limb Gait Reconstruction Modeling Based on RFA-ProMP

Personalized gait curves are generated to enhance patient adaptability to gait trajectories used for passive training in the early stage of rehabilitation for hemiplegic patients.The article utilizes the random forest algorithm to construct a gait parameter model,which maps the relationship between parameters such as height,weight,age,gender,and gait speed,achieving prediction of key points on the gait curve.To enhance prediction accuracy,an attention mechanism is introduced into the algorithm to focus more on the main features.Meanwhile,to ensure high similarity between the reconstructed gait curve and the normal one,probabilistic motion primitives(ProMP)are used to learn the probability distribution of normal gait data and construct a gait trajectorymodel.Finally,using the specified step speed as input,select a reference gait trajectory from the learned trajectory,and reconstruct the curve of the reference trajectoryusing the gait keypoints predictedby the parametermodel toobtain the final curve.Simulation results demonstrate that the method proposed in this paper achieves 98%and 96%curve correlations when generating personalized lower limb gait curves for different patients,respectively,indicating its suitability for such tasks.

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.

Personalized treatment of perihilar cholangiocarcinoma based on tumor genetic and molecular characteristics

This editorial discusses the article written by Tchilikidi et al that was published in the latest edition of the World Journal of Gastrointestinal Surgery.Genetic and molecular profiling of perihilar cholangiocarcinoma(pCCA)has identified a number of key abnormalities that drive tumor growth and spread,including pyruvate kinase M2,proline rich 11,and transcription factor 7,etc.pCCA has specific genetic and molecular features that can be used to develop personalized treatment plans.Personalized treatment approaches offer new opportunities for effectively targeting the underlying drivers of tumor growth and progression.The findings based on tumor genetic and molecular characteristics highlight the importance of developing personalized treatment strategies.

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. .

Personalized medicine and opioid use disorder

Opioid use disorder(OUD)is a major public health problem affecting millions of people worldwide.Although OUD is a chronic and relapsing disorder,a variety of pharmacological and non-pharmacological interventions are available.Medication-assisted treatment of OUD generally relies on competition for opioid receptors against the addictive substance.The mechanisms of this competition are to block or inactivate the opioid receptor or activate the receptor with a substance that is intermittent or long acting.Methadone and buprenorphine are two United States Food and Drug Administration-approved medications that have long-term positive effects on the health of opioid-dependent individuals.Although clinical studies of drugs generally demonstrate efficacy in thousands of people and toxicity is excluded,it cannot be predicted whether the given drug will cause side effects in one of the patients at the treatment dose.Individual differences can be explained by many biological and environmental factors.Variations in genes encoding drug metabolism or cellular drug targets significantly explain the variability in drug response between individuals.Therefore,for the effects of candidate genes to be accepted and included in individual treatment protocols,it is important to repeat studies on individuals of different ethnic backgrounds and prove a similar effect.