马克思的哲学意识、科学意识及历史意识

本文结合学术界关于马克思哲学本质的讨论 ,致力于探讨在哲学意识与科学意识的关系问题上 ,马克思所具有的与西方现代哲学家不同的出场路径。马克思尽管没有像胡塞尔和海德格尔那样转向现象学和存在论 ,但他依然很好地发挥了哲学的意识 ,并且恰恰就是在现代西方哲学家所要克服的认识论的维度上来发挥这种哲学意识的 ,这就是马克思科学认识论的丰富内涵之所在。     

关于“安乐死”立法化的理论思考

"安乐死"问题事关生死大事,跨越社会、伦理、法律、医学等学科,争议由来已久。对死亡问题进行哲学思辨,目的在于揭示安乐死的哲学基础并寻求共识。对安乐死问题进行伦理分析和文化兼容性思考,有助于突破安乐死问题中国化所面对的两大障碍。研究并解决好这些问题,是实现安乐死立法化的必由之路。     

马克思主义时代观理论形态的逻辑演进——论马克思、列宁、邓小平的时代理论和创新发展

马克思主义时代观是科学认识和系统把握时代发展变革规律性的立场、观点、方法的综合集成,是马克思主义时代发展理论的高度概括和集中体现。商品经济产生资本主义,资本主义导致帝国主义,国家垄断资本主义作为垄断资本主义的典型形式和成熟形态,成为通向社会主义的新物质准备与历史阶梯和发展中间站。资本主义的整个发展过程及其通向社会主义道路,又是以经济现代化和全球化为载体的世界社会化大生产从低级形态向高级形态逻辑演进过程,并以三个不同发展阶段形成了世界历史发展的三个不同时代。马克思、列宁、邓小平系统考察他们各自所处于的世界经济现代化和全球化不同发展阶段及其具有不同的时代内容和时代形式,从世界体系和全球战略上科学揭示出世界历史不同发展阶段及其时代发展变革规律性,形成了时代构成基础、时代中心问题、时代发展道路三位一体的马克思主义时代观及其创新发展的三大理论形态。这三大时代发展理论形态以鲜明的时代内容和时代形式,不仅成为马克思主义理论体系发展的三大阶段及其时代化的主要标志,而且构成了马克思主义理论体系的重要组成部分,成为马克思主义体现时代性、把握规律性、富于创造性的科学方法和理论支柱。     

论民事检察监督的范围

“权力导致腐败；绝对的权力导致绝对的腐败”,任何权力都必须接受监督.民事检察监督作为极具中国特色的民事审判监督机制,对于遏制司法不公具有极为现实的作用.对民事检察监督范围的科学界定,是研究民事检察监督所要解决的首要问题,也是监督机关依法履行检察监督权的权限范围.民事检察监督应从审判独立、当事人处分权、裁判稳定性的关系等理论基础出发,结合我国检察监督的实际规定,进行范围的界定和划分.     

Introduction to the Special Issue on Peircean Semeiotic

This special issue should go a long way towards increasing the understanding of Peirce’s semeiotic and its applicability for solving problems in legal studies. In fact, the New Science of Semiotics should result in developing a rigorous and systematic methodology for legal studies making it a true semiotic science which I suggest calling “jurisology.”     

深刻理解和深入贯彻《物权法》需把握好几个重要关系

深刻理解和深入贯彻物权法的关键,是充分认识物权法中"物"、"权"和"法"三个基本概念的内涵,并把握好物与物、物与人以及人与人之间的关系。物权以物为客体区别于知识产权、人身权与债权,并筑构了民法的完整体系;以明确物的归属,规范了财产权利的界定,实现定分止争,以明确用益物权和担保物权规范权利的延伸,实现物的增值;物权法以明确财产权来保障人权、推进发展、促进和谐,因而是人权之法、发展之法、和谐之法。     

用双抗夹心间接ELISA方法检测p30确证人类精斑

检测p30确证精斑有下列几种方法:免疫扩散,免疫电泳,交叉免疫电泳,胶乳凝集抑制试验,薄层免疫分析和酶联免疫吸附试验(ELISA).这些方法各有优缺点,就灵敏度而论,则以     

教育环境的哲学思考

教育环境是影响教育存在发展的诸种因素的总和。教育环境与教育互制互约，相互制衡。树立科学发展观，建构和谐发展的教育环境，促进教育事业繁荣，是实施科教兴国战略、加快教育改革和发展的当务之急。     

略论广松涉对早期马克思“异化劳动”概念的解读——以《1844年经济学哲学手稿》为例

广松涉在《唯物史观的原像》一书中作出了一个基本判断,认为异化劳动不过是马克思对私有财产所作的概念性把握,二者的真实关系在《1844年经济学哲学手稿》中尚未最后解决。广松涉的这个判断基本上是正确的,但关于马克思所面临的逻辑张力和理论困境,他的分析就难免有疏漏之处。     

Near-infrared spectroscopy combined with chemometrics to classify cosmetic foundations from a crime scene

Cosmetic smears are a form of trace evidence that can link the crime scene, suspects, and victims. Foundation and lipstick are the most common sources of cosmetics that can easily smear, with most current research focused on the evidential analysis of lipsticks. This research aims to create a database of cosmetic foundations on different materials and to access the robustness of using Near-infrared with chemometrics as a non-destructive technique to identify unknown samples collected from a crime scene. Small amounts of six shades of three brands of foundations were smeared on clothing materials, which were then analysed with a combination of Near-infrared with chemometric analysis. Principle component analysis (PCA) was used to reduce data dimensionality and explore potential patterns in sample separation and Linear Discriminant Analysis (LDA) was utilised to assign unknown samples to one of the established classes. The selected techniques proved to be promising for database construction and as a preliminary method of analysis, with 93% of the spectra being correctly classified. Notably, darker foundation shades were less likely to be correctly classified (90% classified correctly) compared to lighter ones (96.7% classified correctly). This could not be improved with Standard Normal Variate (SNV) data pre-treatment or selecting specific NIR regions. This finding is of particular importance; according to the Crime Survey for England and Wales (year ending March 2020) police recorded sexual offences demonstrated that those in Mixed and Black or Black British ethnic groups were significantly more likely to be a victim of sexual assault compared to White, Asian or Other ethnic groups. It is, therefore, crucial to add a wide range of foundation shades, particularly of darker tones, to the future database.