Technological innovation has an important impact on environmental pollution. In this paper, first, we analyze the influence mechanism of technological innovation on environmental pollution and then design the index system of technological innovation. Then, we use the entropy method to calculate the technological innovation level of different regions in China based on provincial panel data from 2004 to 2016. Finally, the panel vector autoregression model is adopted, and taking the discharge of sewage, solid waste, and exhaust gas as the research (...) objects, the impact of technological innovation on them is empirically analyzed. The results show that China’s technological innovation level is steadily improving, but there are significant differences in the impact of technological innovation on wastewater, waste gas, and solid waste. Specifically, technological innovation can contribute to an increase in wastewater and solid waste emissions. However, the impact of this technological innovation on them is not equal. Secondly, the impact of technological innovation on exhaust emissions is to inhibit exhaust emissions in the short term and promote exhaust emissions in the long term. Finally, there are clear differences between them in terms of the specific impact of changes in wastewater, solid waste, and exhaust emissions. Changes in wastewater discharges and solid waste generation are largely derived from their own effects, while the role of technological innovation is supportive and insignificant. The change in exhaust emissions is initially influenced by itself, but in the long run, the influence of technological innovation gradually increases and eventually exceeds its own influence. Based on these research results, this paper puts forward corresponding policy suggestions to speed up environmental pollution control. (shrink)

Photovoltaic power forecasting can provide strong support for the safe operation of the power system. Existing forecasting methods are ineffective for grid scheduling decisions or risk analysis. The novel multicluster interval prediction method is proposed to consider the volatility and randomness of PV power output. First, this method utilizes the sparse autoencoder and Bayesian regularized NARX network for point forecasting of PV power. Second, density peak clustering improved by kernel Mahalanobis distance is applied to classify the dataset into multiple clusters, (...) including forecasting error and meteorological factors. Finally, the joint probability density is established by multivariate kernel density estimation to accomplish the PV power interval prediction. The proposed hybrid method is applied for the interval prediction of PV power at Yulara, Australia. Comparative research of point forecasting is implemented to evaluate the machine learning and deep learning methods, with the proposed SAE-BRNARX under four different periods. Results shows that the average values of nRMSE, MRE, nMAE, and R2 for the four periods are 4.45%, 0.90%, −0.15%, 3.39%, and 95.93%, respectively. Moreover, the results of interval prediction obtained by the other interval prediction approaches are compared with the proposed KMDDPC-MKDE. It shows that the average values of PICP, PINAW, ACE, and nMPICD for four periods are 93.93%, 9.50%, 3.93%, and 7.10% at 90% confidence level, respectively. Outcomes demonstrate that the proposed method can obtain more accuracy, a higher coverage rate, narrower average bandwidth, and a closer distance between the middle of interval and actual value than other methods. (shrink)

With the rapid development of Internet of Things technology, RFID technology has been widely used in various fields. In order to optimize the RFID system hardware deployment strategy and improve the deployment efficiency, the prediction of the RFID system identification rate has become a new challenge. In this paper, a neighborhood rough set and random forest combination model is proposed to predict the identification rate of an RFID system. Firstly, the initial influencing factors of the RFID system identification rate are (...) reduced using neighborhood rough set theory combined with the principle of heuristic attribute reduction of neighborhood weighted dependency, thus obtaining a kernel factor subset. Secondly, a random forest prediction model is established based on the kernel factor subset, and a confusion matrix is established using out-of-bag data to evaluate the prediction results. The test is conducted under the constructed RFID experimental environment, whose results showed that the model can predict the identification rate of the RFID system in a fast and efficient way, and the classification accuracy can reach 90.5%. It can effectively guide the hardware deployment and communication parameter protocol setting of the system and improve the system performance. Compared with BP neural network and other prediction models, NRS-RF has shorter prediction time and faster calculation speed. Finally, the validity of the proposed model was verified by the RFID intelligent archives management platform. (shrink)

本书讲述了中国传统道德文化治国之道, 强调了传统文化对国家发展的重要性.内容包括: 故国之思, 核心之道, 庙堂之器, 大道之行及复兴之焰五个部分.

本书以人类辅助生殖法律制度为研究对象,对这一制度在不同国家,我国不同法域的产生,发展及未来方向作了全面分析,以比较分析的视角,从中总结出可为我国借鉴吸收的优秀成果,对于未来法制发展方向与具体制度的建构 提出了可行化的学者建议.

本書系統總結了2016年順義區社會建設成果，在區級層面出版社會建設藍皮書，是一個創新。本書的出版，將有助於系統梳理順義區社會建設的經驗，進一步推進全區社會治理體系建設，促進全區社會治理能力現代化，更好 地服務於北京市城市戰略定位、優化提升首都核心功能，助力構建首都有效的超大城市治理體系，加快建設國際一流的和諧宜居之都進程。.

老子智慧的清泉，不但滋养了中华民族，哺育了中国历史上的盛唐强汉，而且也为西方哲学与社会科学的发展注入了强大的思想动力。老子的人生智慧，更是启迪了两千多年来无数迷茫的心灵。本书紧密联系现实生活实际，以追 求和平幸福、和谐发展为旨归，从多方面解读老子思想的深邃内涵，引导人们抵御消费主义社会物质力量对人的精神家园的侵吞，培养达观的人生态度。.

本书主要探讨人类的生死问题，将立足于中华民族生死文化之血脉的基础上，从分析生命与死亡之本真出发，顺次探讨死亡态度、死亡观念、生死智慧等问题。.

本书讨论的内容有:生存的背景、生存的误区、生存的悖谬、现实生存、社会生存、细节生存、我的境界就是我的生存等。.

以明末清初理學文本與話語為主要研究對象， 試圖重探明清之際思想轉型的重大議題。 從儒者的生死觀、工夫論、舜的聖人形象、孝行與家禮、 夫婦之倫、人性論等主題， 分析明清之際儒學如何在歷史發展及反思中自我修正與轉化， 建構一個能兼顧個人道德修養與家庭社群人倫，能對治晚明學風之弊， 並在日用人倫中重建社會秩序的思想體系。 呂妙芬新作《成聖與家庭人倫：宗教對話脈絡下的明清之際儒學》鎖定明清之際（以十七世紀為主）的理學為主要研究範圍，試圖以更豐富而新穎的史料、新的研究議題與視角，來探討明清之際儒學的發展與轉型，也試圖回應一 些過去學者提出的看法。 呂妙芬在本書裡認為理學的信念在清代仍是支持政治與社會的價值體系，理學的議題也仍是士人關心的問題，清代理學思想與話語也不盡然因襲舊說，而有其推陳出新之處，只是這方面較未被充分探討認知。 《成聖與家庭人倫》一書也強調當時儒學是在高度宗教對話的語境中發言，調整自我義理內涵，書中亦論及儒學宗教化與庶民化的現象，及對過去啓蒙論述的反思。 本書共分三部，第一部「成聖、不朽、家庭人倫」包含三章，主要探討明清之際儒學發展的延續與變化，並標出「成聖」與「家庭人倫」為核心議題。第一章〈生死觀的新發展〉探討明清之際理學話語中，是否出現類似個體靈魂 的概念？是否有關於死後想像的論述？第二章〈儒門聖賢皆孝子〉延續了上一章的討論，主要根據的文本也相近，焦點則轉到清初儒學與晚明儒學的差異。第三章〈聖人處兄弟之變〉考察明清士人對於《孟子》記載舜、象兄弟故 事的不同詮釋，說明士人對於舜的詮釋反映了他們對儒學理想與聖人形象的思索。 第二部「血脈與道脈的雙重認同」包含兩章，內容則離開思想觀念的分析，轉而探討萬里尋親、居家拜聖賢兩種實踐行為，藉此說明家族血脈與儒學道脈在儒家士人心目中具有同等重要的地位。第四章選擇與宗族文化密切相關的 萬里尋親孝行為主題，支持此類孝行的理念正是儒家的孝道思想，以及「家」作為永恆歸屬的觀念。第五章討論明清士人在家拜聖賢的禮儀實踐。明清時期祭拜儒家聖賢之禮，除了在孔廟、鄉賢祠、學校和書院中，或在某些民間 宗教的寺廟中舉行外，它也以一種堅持儒學正統、不與其他宗教混合的方式，走入士人家庭。 第三部「宗教對話語境下的儒學論述」共有兩章，分別討論夫婦之倫、人性論兩個主題。第六章探討儒學在夫婦之道的神聖性與戒淫之間的張力，以及因發言語境之差異所形成關於夫婦之倫的不同論述面向。第七章是針對明清氣 學人性論的探討。結論部分則分別就「從晚明到清初學術思想的延續與創新」、「儒學的宗教關懷與庶民化傾向」、「再思17世紀儒學轉型在中國思想史上的意義」三方面，總結說明本書的主要論點。.