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Amber has been well documented since the Han Dynasty as a precious material many amber artifacts have been unearthed from tombs of Han Dynasty in China, It is generally believed that amber raw materials and some already-made artifacts may come from Europe (Baltic Sea) and Myanmar during the Han Dynasty, so amber and its artifacts are considered as a vital material and hard evidence of cultural exchange between ancient China and abroad. However, the analysis of excavated amber by using scientific methods is still limited so far. This paper applies Fourier transformed infrared spectroscopy (FTIR) to characterize several pieces of amber ornaments excavated from the tombs of Han Dynasty in central and southern Hunan Province and the results indicate that most of the ornaments were made of raw materials from Myanmar but also one Shuang Sheng amulet made of Baltic amber, Amber artifacts undergo significant deterioration during burial and exhibition, and varying degrees of deterioration and the presence of sedentary attachment may affect the results of infrared spectra of amber, which in turn interferes with the study of tracing the origin of the amber raw material. A preliminary study of amber and ornaments made of various gemstones and glass could reveal that the Hunan Province has influenced by both the Northern Steppe Silk Road and Southern Maritime Silk Road during the Han Dynasty and that in-land trade flows in this region were complex and diverse, and some amber ornaments may have been produced locally by exotic materials. More scientific data and analysis will support the study of ancient trade and cultural exchange during ancient time on a larger scale.

Multi-feature fusion data model

This study uses the Python based NLP toolkit PaddleNLP as a text segmentation tool. To improve the accuracy of person name segmentation, a custom dictionary is set up to store all person names that appear in the diary in the dictionary file. Based on the part of speech labels generated after word segmentation processing, remove other irrelevant vocabulary and extract person name vocabulary with substantive meaning in each sentence. To count the co-occurrence frequency of each person's name vocabulary pair in all sentences, Python programming is used to enumerate the co-occurrence frequency of each person's name vocabulary pair in each sentence, and then the same person's name vocabulary pairs in all sentences of the four original diary texts are merged and counted. In order to focus the analysis on important high-frequency characters, this study limits the number of names participating in character co-occurrence analysis through a threshold set to the names that appear in the top 200 pairs of names with the highest frequency in each diary and year.

The image data set of various factions of Chinese ceramics, which is crawled and preprocessed from Baidu pictures, contains a total of 18,295 pictures and labels, including blue and white porcelain, pastel porcelain, Linglong porcelain, color glaze porcelain (four famous porcelain), other porcelain, purple pottery, purple clay pottery, laurel pottery, Anpottery (four famous pottery), other pottery, a total of 10 categories.The data set includes two parts: training set and test set. 10 pictures of class objects are stored in folders with corresponding numbers (0-9). Among them, the training set is divided into 10 chunks according to 10-fold cross-validation.

ACE2005 English dataset contains various types of data composed of entity, relationship, and event annotation, and supports English, Arabic, and Chinese. The dataset annotates 16,375 sentences in 599 documents. The data sources of the documents mainly come from the following six fields: Newswire, radio news, radio talks, blogs, newsgroups, and telephone conversations. The submitted data preprocessed ACE2005 data set, added dependency analysis results, and divided it into three data sets: training set, test set, and verification set.

This is a bi-monthly export. CERD is a database of engineers from the Chinese Republican period (1912–1949). Based on various digitised historical sources, it is a prosopographic catalogue of individuals, their education and their employment, and the institutions connected with it. Most biographical events have geographical information attached to them. The data can be used freely by researchers to answer individual research questions. Citation recommendation: Pelzer, Thorben, et al., eds. (2021–2023). Chinese Engineers Relational Database (CERD) (Version 1.7.0). Zenodo. http://doi.org/10.5281/zenodo.4075601. Changelog: 1.7.0 (February 2023): Approx. 17,600 individuals, two additional sources 1.6.0 (August 2022): Approx. 17,400 entries, completed sources, minor corrections, mergers, translations 1.5.0 (June 2022): Approx. 17,300 entries, added additional memberships 1.4.0 (April 2022): Approx. 16,800 entries, added additional sources, schooling 1.3.0 (February 2022): Approx. 16,500 entries, added documentation, additional memberships 1.2.0 (December 2021): Approx. 16,300 entries, added frequent CSV exports, source annotations, 5 missing minglu pages, additional association memberships 1.1.0 (October 2021): Approx. 15,700 entries, added selected association memberships 1.0.0 (August 2021): Approx. 15,400 entries [complete gongchengren minglu dataset milestone] 0.5.0 (June 2021): Approx. 13,000 entries 0.4.0 (April 2021): Approx. 10,500 entries 0.3.0 (February 2021): Approx. 7,500 entries, as well as various corrections, mergers, translations 0.2.0 (December 2020): Approx. 5,000 entries, as well as various corrections, mergers, translations 0.1.0 (October 2020): Early version with approx. 3,000 entries Online Access: Via Heurist: https://home.uni-leipzig.de/cerd/ Funded through the DFG (SFB 1199: "Processes of Spatialization under the Global Condition") and partly the BMBF ("The Pioneers of China's Rise to Technological Power: Technical Educational Institutions and Their Students in the Age of Global Transformation, 1860–1911").

Computational Research on Cross-lingual Classical Style - Diagram Source File

Wang, Puchen 王 蒲 臣 (2023). My childhood, family, early education, fate encounter and eye-witness of China, In: “Global Humanities and Liberal Arts ”, Wang, L. K. 王 抗 曝 (editor). 86 p. 2023(1), Lenox Institute Press,MA, USA. ..................ABSTRACT: General Wang Puchen 王 蒲 臣, the author, was the classmate of Dai Li 戴 笠, Mao Renfeng 毛 人 凤 at Wenxi Higher Primary School in Jiangshan County. General Dai was the ROC National Intelligence Director, and General Mao was the Head of the ROC Secrecy Bureau 保 密 局. General Wang joined the ROC 军 统 局 in 1935, and attended Central Military Academy (黄 埔 ) in 1941. He served as the Director of the Bureau of Investigation and Statistics in Beijing (保 密 局 北 平 站 督 察 长) of the ROC 保 密 局 (formerly 军 统) in 1948 and he was the Coordinator for the historical cease fire event between ROC and the Communist in Beijing in 1949. This publication is one of many author's memoirs documenting his life and modern Chinese history :(a) Getting a son in my father's dream 我 父 夢 中 得 子; (b) My family background 我 的 家 世; (c) Saving my life with one mouthful medicine 一 口 葯 救 回 了 一 條 命; (d) My nursing mother as good as my mother 乳 母 如 親 母; (e) Childhood memories 童 年 往 事; (f) From Qing dynasty to the Republic of China 由 滿 清 到 民 國; (g) The birth of the Republic of China 中 華 民 國 之 誕 生; (h) My father was my first teacher 父 親 是 我 的 開 蒙 老 師; (i) Meeting General Dai Li as a new friend 認 識 了 戴 笠 將 軍; (j) Quitting school for five years for recuperation 修 學 五 年 養 身 補 習; (k) Continuing school education 重 過 學 校 的 生 活; (l) Three special classmates 三 位 奇 特 的 同 學; and (m) My two articles that broke my hearts 一 生 寫 了 兩 篇 最 不 願 意 寫 的 文 章. Also included are General Wang's four long-life secrets and a poem (Journey of Life 人 生 之 旅) presented by the Editor .

Various HfB2 powders were prepared by coprecipitation method combined with carbothermal reduction method, and were characterized by XRD, SEM, TEM, XPS, NMR, FTIR, TGA-DSC, etc. using the instrument platform of the Chinese Academy of Sciences to obtain the original experimental data. Philips X’Pert powder X-ray diffractometer using CuKα (PANalytiacl X’Pert-Pro MPD,USA, λ = 0.15419 nm) radiation. Field emission scanning electron microscope (FESEM, Hitachi SU8020, Japan) and field emission transmission electron microscope (FETEM, Tecnai G2 F20, USA) were used to study the microscopic morphology and structure of samples. An X-ray photoelectron spectrometer (XPS, KRATOS AXIS SURPRA+, Japan) was performed to investigate the valence bonds and surface chemical status of the samples. Thermogravimetric-differential thermal analysis (TGADSC) was performed in an argon atmosphere at a heating rate of 5 ◦C/ min (METTLER-TOLEDO, TGA/DSC 3+, Switzerland). Fourier transform infrared (FTIR, Thermo Nicolet Corporation, NEXUS G2192, USA) analysis was performed in the range of 500–4000 cm- 1 using the KBr pellet method. Nitrogen and oxygen analyzer (LECO, ON836 series elements analyzer, USA) was used to determine the oxygen content of the samples. 1H Nuclear Magnetic Resonance (1H NMR) spectra were taken on Avance 400 spectrometer (Bruker, AVANCE 400, USA) with Methanol-D4 as the solvent and chemical shift references for 1H NMR.The experiment was completed from September 2021 to August 2022.