G-CPT Symmetry of Quantum Emergence and Submergence—An Information Conservational Multiagent Cellular Automata Unification of CPT Symmetry and CP Violation for Equilibrium-Based Many-World Causal Analysis of Quantum Coherence and Decoherence

An equilibrium-based YinYang bipolar dynamic Generalization of CPT (G-CPT) symmetry is introduced based on energy/information conservational quantum emergence-submergence. As a bottleneck of quantum computing, quantum decoherence or collapse has been plaguing quantum mechanics for decades. It is suggested that the crux of the problem can trace its origin back to the incompleteness of CPT symmetry due to the lack of holistic representation for equilibrium-based bipolar coexistence. In this work, the notion of quantum emergence-submergence is coined as two opposite processes with bipolar energy/information conservation. The new notion leads to G-CPT symmetry supported by a Bipolar Quantum Cellular Automata (BQCA) interpretation of quantum mechanics. It is shown that the new interpretation further leads to the unification of electromagnetic particle-antiparticle bipolarity and gravitational action-reaction bipolarity as well as CPT symmetry and CP violation into a philosophically, geometrically and logically different quantum gravity theory. On one hand, G-CPT symmetry enables a Bipolar Quantum Agent (BQA) to emerge as a bipolar quantum superposition or entanglement coupled to a globally coherent BQCA;on the other hand, G-CP violation supports a causal theory of BQA submergence or decoupling from the global coherence. In turn, BQAs can submerge from one world but emerge in another within YinYang bipolar quantum geometry. It is suggested that all logical, physical, social, biological and mental worlds are bipolar quantum entangled under G-CPT symmetry. It is contended that G-CPT symmetry constitutes an analytical paradigm of quantum mechanics and quantum gravity—a fundamental departure from “what goes around comes around”. The new paradigm leads to a number of predictions and challenges.

Documental Quality of Websites Concerning Physical Activity, Lifestyle and Sedentarism Available on the Internet

Objectives: To analyze the documental quality of 389 websites in Portuguese about physical activity, healthy lifestyles and sedentary lifestyles found on the Brazilian version of the general search engine Google. Methods: The documental quality of the 389 websites was estimated based upon the following parameters: 1) a combination of quality criteria from the Health Information Locator (LIS—OPS/BIREME) and those from Chile’s Pontifical Catholic University, organized into 17 variables;2) uniformity of reference criteria (Vancouver);3) association between the presence of authorship and a higher number of the quality criteria being fulfilled. We also studied the ranking of the results presented by Google in addition to attributes connected to the websites’ target audience, the types of content, their sponsors and country of origin. Results: Of the 389 websites studied, 111 links were not active (28.53% CI 95% [24.05 - 33.02]) and none of the websites in the sample met all of the 17 quality variables. Authored websites displayed remarkable differences in quality when compared to those which did not identify their authors. Conclusions: Faced with the issue of the proliferation of websites with questionable quality content, and the fact that the ranking of results interferes directly in the internal evaluation of content relevance, we propose that public-health research institutions cooperate with web-searching developers to improve the website-positioning formula, in which the “identified authorship” criterion should play a major role in the ranking system.

An Informetric analysis of web citation in Chinese journals of Library and Information Science in recent years

This paper selects 998 articles as its data sources from four Chinese core journals in the field of Library and Information Science from 2003 to 2007.Some pertinent aspects of reference citations particularly from web resources are selected for a focused analysis and discussion.This includes primarily such items as the number of web citations,web citations per each article,the distribution of domain names of web citations and also certain aspects about the institutional and/or geographical affiliations of the author.The evolving situation of utilizing online networked academic information resources in China is the central thematic discussion of this study.The writing of this paper is augmented by the explicatory presentation of 3 graphic figures,6 tables and 18 references.

《信息技术OFD档案应用指南》国家标准解读

围绕电子文件长期保存需求,GB/T 42133—2022《信息技术OFD档案应用指南》为发展电子文件和档案管理全链条自主信息服务提供了重要参考。从标准的研制背景、主要内容、适用对象和主要场景等方面对标准进行解读,有助于软件开发者和档案等用户理解及应用该标准。

INFORMATION RETRIEVAL FOR SHORT DOCUMENTS

The major problem of the most current approaches of information models lies in that individual words provide unreliable evidence about the content of the texts. When the document is short, e.g. only the abstract is available, the word-use variability problem will have substantial impact on the Information Retrieval （IR） performance. To solve the problem, a new technology to short document retrieval named Reference Document Model （RDM） is put forward in this letter. RDM gets the statistical semantic of the query/document by pseudo feedback both for the query and document from reference documents. The contributions of this model are three-fold： （1） Pseudo feedback both for the query and the document; （2） Building the query model and the document model from reference documents; （3） Flexible indexing units, which can be ally linguistic elements such as documents, paragraphs, sentences, n-grams, term or character. For short document retrieval, RDM achieves significant improvements over the classical probabilistic models on the task of ad hoc retrieval on Text REtrieval Conference （TREC） test sets. Results also show that the shorter the document, the better the RDM performance.

Evaluation of a Mobile Station Electronic Health Record on Documentation Compliance and Nurses’ Attitudes

Electronic Health Record (EHR) Systems have been adopted by healthcare organizations for documentation of patient care. Often these information systems are embedded in mobile nurse stations. As part of assessing the impact of this technology it is important to determine the effect it has on charting compliance and user acceptance. Data were collected at a medical center in Taiwan in two stages. The first stage involved use of a 28-item medical review tool to measure charting compliance in 99 charts before and after implementation of the EHR system. In stage two, a survey was conducted with 709 nurse users to determine their level of mobile EHR acceptance 3 months after this documentation technology was initiated. Results demonstrated that EHR significantly improved documentation compliance in standardized data entry format (name, date, time), abbreviation, content correction/revision, patient care needs, and care goals. Analysis of data from the five categories of a user acceptance survey revealed the following results (based on a 4-point Likert scale): patient care (2.92), nursing efficiency (2.78), education and training (2.98), usability (2.61), and usage benefits (2.87). The study concluded that use of mobile nurse stations with EHR can improve documentation compliance and that although frequent system downtime needs improvement, nurses generally have positive attitudes toward this technology application.

Information Network Systems and Information Sharing on Administrative Websites

In Japanese 'e-government' policy, called 'e-Japan', the 'administrative document management system' is functioning as information searching systems. On the other hand, this system has also generated the problem that it is not fully functioning as a means for the information sharing in a governmental agency. So, the purpose of this research is to find how the administrative document management system can function as information sharing in administrative organization. For this purpose, this paper considers the current status and some problems firstly. And secondary, this paper proposes the idea and constructs some information systems using administrative official Website. This is the method and approach of this research. As a conclusion, this proposal information system junctions as information sharing support systems.

Trust and Security on Semantic HIM (Health Information Management)

Information technology have changed information media by networking and internet using technology in health as same as another part improve efficiency and effectiveness. Currently, the medical document is reality-based medicine, so that is the most important, richest and the most realistic source of medical and health information. Health information management systems that require systems to the storage, retrieval, storage and elimination of health records (by law), and adjust to the rules of professional. These processes are difficult and time consuming for human. In the meantime semantic HIM seem best solution.

Assessment of Sentiment Analysis Using Information Gain Based Feature Selection Approach

Sentiment analysis is the process of determining the intention or emotion behind an article.The subjective information from the context is analyzed by the sentimental analysis of the people’s opinion.The data that is analyzed quantifies the reactions or sentiments and reveals the information’s contextual polarity.In social behavior,sentiment can be thought of as a latent variable.Measuring and comprehending this behavior could help us to better understand the social issues.Because sentiments are domain specific,sentimental analysis in a specific context is critical in any real-world scenario.Textual sentiment analysis is done in sentence,document level and feature levels.This work introduces a new Information Gain based Feature Selection(IGbFS)algorithm for selecting highly correlated features eliminating irrelevant and redundant ones.Extensive textual sentiment analysis on sentence,document and feature levels are performed by exploiting the proposed Information Gain based Feature Selection algorithm.The analysis is done based on the datasets from Cornell and Kaggle repositories.When compared to existing baseline classifiers,the suggested Information Gain based classifier resulted in an increased accuracy of 96%for document,97.4%for sentence and 98.5%for feature levels respectively.Also,the proposed method is tested with IMDB,Yelp 2013 and Yelp 2014 datasets.Experimental results for these high dimensional datasets give increased accuracy of 95%,96%and 98%for the proposed Information Gain based classifier for document,sentence and feature levels respectively compared to existing baseline classifiers.

Towards delivery of situational information in distributed environments

In the distributed environment,robots should be able to provide users with adaptive services automatically according to the situational information changing dynamically which is obtained from both users and their environments.The workflow depends on situational information obtained from physical environments and provides context-aware services automatically based on the information retrieved.And the workflow in the business processes and the distributed computing environments have supported the automation of services by connecting tasks.The workflow needs to specify ubiquitous situational information as state-transition constraints.However,the delivery and use of sensor data in the workflow is a difficult problem for the robot system.In order to bridge the gap between applications and low-level constructs and to acquire raw situational information for the execution of the context-aware workflow in the robot systems,this paper presents an approach which can achieve the sensor data transmission between a sensing server and a robot system easily.

Web of Science核心数据库中信息素养教育研究历史文献分析

了解国内外信息素养的研究历史与演进路径,为改善当前信息素养的培养方式方法提供研究经验。利用HistCite历史引文分析软件,以“Information literacy”或(or)“Information literature”或(or)“Information Accomplishment”或(or)“Information Attainment”为检索式对Web of Science核心数据库进行标题检索,时间跨度为“所有年份”,检索时间为2022年8月31日。对检索结果文献从核心作者、文献发表时间、文献发表国家、载文期刊、经典文献等方面进行详细的可视化分析,以此来揭示信息素养的研究历史与演进路径。最后为改善当前信息素养的培养方式方法提出三层渐进式教学模型:嵌入式教学、针对式教学、突击式教学。

Causality Is Logically Definable—Toward an Equilibrium-Based Computing Paradigm of Quantum Agent and Quantum Intelligence (QAQI) (Survey and Research)

A survey on agents, causality and intelligence is presented and an equilibrium-based computing paradigm of quantum agents and quantum intelligence (QAQI) is proposed. In the survey, Aristotle’s causality principle and its historical extensions by David Hume, Bertrand Russell, Lotfi Zadeh, Donald Rubin, Judea Pearl, Niels Bohr, Albert Einstein, David Bohm, and the causal set initiative are reviewed;bipolar dynamic logic (BDL) is introduced as a causal logic for bipolar inductive and deductive reasoning;bipolar quantum linear algebra (BQLA) is introdused as a causal algebra for quantum agent interaction and formation. Despite the widely held view that causality is undefinable with regularity, it is shown that equilibrium-based bipolar causality is logically definable using BDL and BQLA for causal inference in physical, social, biological, mental, and philosophical terms. This finding leads to the paradigm of QAQI where agents are modeled as quantum enssembles;intelligence is revealed as quantum intelligence. It is shown that the enssemble formation, mutation and interaction of agents can be described as direct or indirect results of quantum causality. Some fundamental laws of causation are presented for quantum agent entanglement and quantum intelligence. Applicability is illustrated;major challenges are identified in equilibriumbased causal inference and quantum data mining.

水利古籍档案资源开发利用探析——以东北农业大学图书馆为例

我国是世界上最早开发水利工程的国家之一,水利古籍承载着丰富的历史文化信息,不仅记录了古代水利工程的设计理念、建造工艺和管理经验,还包含了大量关于灌溉、防洪和水运等方面的记述,是古代社会经济、政治和文化发展的重要历史见证,并兼有书籍、档案、文书三重意义[1]。本文探讨了水利古籍的特点和价值,水利古籍档案资料的利用现状,并对水利古籍档案资料有效开发利用提出可行性的建议。

基于应用现代化的铁路信息系统统型方法研究

针对铁路信息系统多小散、开发主体多、运营维护困难等诸多难题,研究铁路信息系统统型总体思路及实施策略。文章分析了铁路信息系统建设现状,提出铁路信息系统统型的具体需求;基于应用现代化理论,提出铁路信息系统统型总体思路,分别从管理层面、技术层面、业务层面提出具体实施方案,其中,在业务层面,提出了通用化统型、系列化统型、模块化统型等3种方法;以未来3~5年为周期,规划统型实施策略,同时提出保障措施。研究结果可为铁路信息系统统型提供系统性的理论参考及技术支撑。

融合实体和上下文信息的篇章关系抽取研究

篇章关系抽取旨在识别篇章中实体对之间的关系.相较于传统的句子级别关系抽取,篇章级别关系抽取任务更加贴近实际应用,但是它对实体对的跨句子推理和上下文信息感知等问题提出了新的挑战.本文提出融合实体和上下文信息(Fuse entity and context information,FECI)的篇章关系抽取方法,它包含两个模块,分别是实体信息抽取模块和上下文信息抽取模块.实体信息抽取模块从两个实体中自动地抽取出能够表示实体对关系的特征.上下文信息抽取模块根据实体对的提及位置信息,从篇章中抽取不同的上下文关系特征.本文在三个篇章级别的关系抽取数据集上进行实验,效果得到显著提升.

骗取出入境证件行为的刑法定性

对于以提供伪假证明材料等方式骗取出入境证件行为的刑法定性,存在行政法中的出境入境证件与刑法中的出入境证件混同、对出售出入境证件罪中出售行为的认定争议较大等诸多问题。《出境入境管理法》规定的外国人停留居留证件既不属于司法解释例示的出入境证件,也不可归为司法解释所规定的“其他出入境时需要查验的资料”,故不属于刑法意义上的“出入境证件”。对于骗得出入境证件后将该证件出售的行为,应当将其认定为出售出入境证件罪;对于有偿为他人骗取出境证件的行为,可以将其认定为骗取出境证件罪或骗取出境证件的行政违法行为;对于有偿为他人骗取入境证件的行为,只能认定为骗取入境证件的行政违法行为。骗取入境证件行为与骗取出境证件行为的规制必要性相当,应在刑事立法层面将“骗取出境证件罪”调整为“骗取出入境证件罪”,从而进一步完善对出入境证件的刑法保护。

公文结构的理论研究述评与前瞻

当前的公文结构研究在形式要素结构、写作思维结构、写作结构模式、整体篇章结构等方面已取得显著成果。然而,由于多数研究集中在形式的静态考察和表层的宏观描写,导致结论的适用性和解释力有限。因此,未来的研究应重点关注内容信息结构,在篇章语言学视角下结合中国文件制度语境,运用跨学科研究方法,深入探讨公文结构的语言表达、话语结构、信息组织模式以及篇章结构系统要素之间的关系等问题。这将有助于形成科学的理论知识体系,为社会组织进行公文写作和交流沟通提供有力的理论支撑。

基于Web 2.0的软件工程实践教学平台设计

软件工程实践教学平台在运行过程中,存在没有全方位整合教学资源的问题。为此,提出基于Web 2.0的软件工程实践教学平台设计研究。将恩智浦iMX8MM开发板DB11作为平台硬件装置,构建Web 2.0技术为支撑的软件工程实践教学平台构架,动态整合工程实践教学资源,并引入单参数项目信息函数作为软件工程实践教学资源的属性进行划分。在测试结果中,进程/线程交换率不仅能够结合并行请求规模实现适应性调整,而且调整的幅度较大。

基于大规模预训练模型的地质矿物属性识别方法及应用

地球科学的研究成果通常记录在技术报告、期刊论文、书籍等文献中,但许多详细的地球科学报告未被使用,这为信息提取提供了机遇。为此,我们提出了一种名为GMNER(Geological Minerals named entity recognize,MNER)的深度神经网络模型,用于识别和提取矿物类型、地质构造、岩石与地质时间等关键信息。与传统方法不同,本次采用了大规模预训练模型BERT(Bidirectional Encoder Representations from Transformers,BERT)和深度神经网络来捕捉上下文信息,并结合条件随机场(Conditional random field,CRF)以获得准确结果。实验结果表明,MNER模型在中文地质文献中表现出色,平均精确度为0.8984,平均召回率0.9227,平均F1分数0.9104。研究不仅为自动矿物信息提取提供了新途径,也有望促进矿产资源管理和可持续利用。