常熟翁氏故居

Multi tool use坐标:31°38′34″N 120°44′14″E / 31.64278°N 120.73722°E / 31.64278; 120.73722
body.skin-minerva .mw-parser-output table.infobox captiontext-align:center
綵衣堂 |
---|
全国重点文物保护单位 中华人民共和国国务院公布
|
---|
所在 | 江苏省常熟市
|
---|
分类 | 古建筑 |
---|
时代 | 明 |
---|
编号 | 第四批第137项 |
---|
登录 | 1996年11月20日 |
---|
|
翁心存故居 |
---|
常熟市文物保护单位 |
---|
所在 | 常熟市城区翁家巷门 |
---|
分类 | 古建筑 |
---|
时代 | 清 |
---|
登录 | 1982年11月17日 |
---|
|
常熟翁氏故居位于中国江苏省常熟市城区翁家巷门,是典型的江南官绅宅第建筑,1982年以“翁心存故居”之名列为常熟市文物保护单位,其主厅“綵衣堂”于2001年被列为第四批全国重点文物保护单位。现已辟为翁同龢纪念馆。
翁氏故居始建于明代,原为桑氏所有,隆庆年间为严澂所有,后数易其主。清道光十三年(1883年),翁心存从仲氏购得,其子翁同龢等在此成长。总占地约6000平方米,建筑面积约3000平方米。綵衣堂为明晚期建筑,位于翁氏故居主轴线第三进,为故居的主厅,原称“森桂”,后改称“丛桂”,翁心存改建后改称綵衣堂,取二十四孝老莱子衣彩娱亲之意。綵衣堂为五架梁并轩前后廊九椽屋,面阔三间,硬山顶,面积235平方米,堂内梁柱等处的彩绘具有很高的艺术价值,是苏式彩绘的代表作。[1]
参考文献
^ 全国重点文物保护单位·第一至第五批·第Ⅰ卷. 文物出版社. 2004: 661. ISBN 7-5010-1525-2.
常熟翁氏
|
---|
| .mw-parser-output .chart-containermax-width:100%;overflow:auto;overflow-x:auto;overflow-y:visible.mw-parser-output .chart-contentborder-spacing:0;border-collapse:separate | | | | | | | | | | | | | | | | 过继 | | |
| | | | | | | | 翁心存 | |
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 翁同書 | | | | | | 翁同爵 | | | | | | 翁同龢 | |
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 翁曾源 | | 翁曾桂 | | 翁曾純 | | 翁曾榮 | | 翁曾翰 | |
| | | | | | | | | | | | | | | | | | | | | | |
翁斌孫 | | | | | | 翁奎孫 | | | | | | 翁安孙 | |
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 翁之廉 | | 翁之喜 | | | | | | | | |
| | | | | | | | | | | | | | | | | | | 翁万戈 | |
| | 註:本家族樹僅列出家族中翰林、進士及其他有官職者,以及對譜系關聯較重要的人物,其余子女未包括在內。 |
|
o0hlNwlH8,Z,ocQ9uk an4n5JUz Ie dDv1TSmGYNa,1vE6XEf2l CceIhIIKmUBPjE Xe 9XAgTUQ9EXYul2mHjSrH36s VdtEzt
Popular posts from this blog
Ramiro Burr's New Blog - to go back: www.ramiroburr.com From Latin rock to reggaeton, boleros to blues,Tex-Mex to Tejano, conjunto to corridos and beyond, Ramiro Burr has it covered. If you have a new CD release, a trivia question or are looking for tour info, post a message here or e-mail Ramiro directly at: musicreporter@gmail.com Top Tejano songwriter Luis Silva dead of heart attack at 64 By Ramiro Burr on October 23, 2008 8:40 AM | Permalink | Comments (12) | TrackBacks (0) UPDATE: Luis Silva Funeral Service details released Visitation 4-9 p.m. Saturday, Rosary service 6 p.m. Saturday at Porter Loring, 1101 McCullough Ave Funeral Service 10:30 a.m. Monday St. Anthony De Padua Catholic Church, Burial Service at Chapel Hills, 7735 Gibbs Sprawl Road. Porter Loring (210) 227-8221 Related New Flash: Irma Laura Lopez: long time record promoter killed in accident NewsFlash: 9:02 a.m. (New comments below) Luis Silva , one of the most well-known ...
1 I having trouble getting my ResourceDictionary.MergedDictionaries to load from app.xaml. My WPF app has a static class with a Main defined and startup object set to it. Within Main I created an instance of App and run it. The override OnStartup fires and the mainwindow.cs InitializeComponent gives the error "Message "Cannot find resource named 'MaterialDesignFloatingActionMiniAccentButton'. If I put the resources in the mainwindow.xaml everything is fine, but I wanted them to load at the app level so I they are not in each page. Any help appreciated. public partial class App protected override void OnStartup(StartupEventArgs e) base.OnStartup(e); var app = new MainWindow(); var context = new MainWindowViewModel(); app.DataContext = context; app.Show(); from the Main.. var app = new App(); app.Run(); app.xaml.. <Application x:Class="GS.Server.App" xmlns="http://schemas.microsoft.com/winfx/2006/xaml/presentation" xmlns:...
up vote 2 down vote favorite There is a clear pattern that show for two separate subsets (set of columns); If one value is missing in a column, values of other columns in the same subset are missing for any row. Here is a visualization of missing data My tries up until now, I used ycimpute library to learn from other values, and applied Iterforest. I noted, score of Logistic regression is so weak (0.6) and thought Iterforest might not learn enough or anyway, except from outer subset which might not be enough? for example the subset with 11 columns might learn from the other columns but not from within it's members, and the same goes for the subset with four columns. This bar plot show better quantity of missings So of course, dealing with missings is better than dropping rows because It would affect my prediction which does contain the same missings quantity relatively. Any better way to deal with these ? [EDIT] The nullity pattern is confirmed: machine-learning cor...