骊山老母
Multi tool use骊山老母（俗写作黎山老母或梨山老母）是骊山的山神，中国传说中古代道教的女神仙。姓氏与来历不详。
驪山老母是深居于骊山上的至高无上的女仙。在中国民间具有很大的影响力，在道观中通常都有供奉她的香火。驪山老母多为指点迷津、传授秘籍为世人所崇奉。
古书记载
清代·俞樾《春在堂随笔》附《小浮梅闲话》云：小说中多言骊山老母。骊山老母，实有其人，非乌有也。
《太平广记》卷六十三引《集仙传》略云：骊山姥，不知何代人也。李筌好性爱之道，常历名山，博采方术，至嵩山虎口岩石室中，得《黄帝阴符》本，李筌抄读数千遍，竟不晓其义理。因入秦，至骊山下，逢一老母，鬓髻当顶，餘髮半垂，敝衣扶杖，神壮甚异。路旁见遗火烧树，因老母自言“火生于木，祸发必尅”。李荃闻之心惊，趋前而问：“此《黄帝阴符》秘文，母何得而言之？”母曰：“吾受此符，已一千八十年矣。”于是李荃向其求教，遂命对日而立，端详一番后说：“心影不偏，性贤而好德，神勇而乐智，真乃我弟子也。”
《汉书·律历志》载张寿王言：“骊山女亦为天子，在殷周间。”考骊山女为戎胥轩妻，正当商周之间，意其为人，必有非常材艺，为诸侯所推服，故后世传闻有为天子之事，而唐宋以后遂以为女仙，尊曰老母。《史记·秦本纪》：申侯乃言孝王曰：“昔我先骊山之女，为戎胥轩妻，生中湡，以亲故归周，保西垂。西垂以其故和睦。”
《驪山老母玄妙真經》中记载老母乃斗姥所化，是上八洞古仙女中的第七柱，为上古时代的神仙。清代·程良玉的《何仙姑宝卷》上卷中也说驪山老母为上八洞神仙中的一位女仙。
《西游记》第二十三回中讲述驪山老母请来观音菩萨、文殊菩萨和普贤菩萨一起变出个莫家庄，自己变化成一个寡妇老婆婆，与三位菩萨变成的美女女儿一起試驗唐僧师徒，結果唐僧等人都遵守戒律，只誘惑了豬八戒。另外，在第七十三回中也曾在唐僧師徒遇百眼魔君所害時，出面指點孫悟空前去尋訪毘藍婆菩薩解危。
宋朝的郑所南著有《骊山老母磨铁杵欲作绣针图》的诗词。在李白小时候的故事中也出现了骊山老母磨铁杵的情景，李白看见一位老奶奶在磨一根很粗的铁杵，于是他好奇地问老奶奶为什么要磨这么粗的铁杵，老奶奶告诉他这是在磨绣花针呢，只要每天都磨，铁杵一定会磨成绣花针。后来有了这样的典故“只要功夫深，铁杵磨成绣花针”。
根据明代长篇通俗小说《三宝太监西洋记通俗演义》中描述：骊山老母称为治世天尊，火母之师。因她生下盘古，便叫她老母，又因她居住在骊山上，故称其为骊山老母。
文学中的徒弟
传说中骊山老母横跨多个时代，具有极为强大的法力，并教出各个时代中的英雄女将，如齐宣王的妻子钟无艳（战国时代）、薛丁山的妻子樊梨花（唐代）、杨宗保的妻子穆桂英（宋代）、高君保的妻子刘金定（宋代）、祝英台（东晋时期）、千年靈蛇白素贞（宋代）等，都为骊山老母的门下弟子。
杜光庭的《神仙感遇传》卷一中记载：“唐少室书生李筌常游嵩山，得《黄帝阴符经》，遇骊山老母，指授秘要。”
清代的刻本小说中有记载祝英台殉情后被老母所救，并传授一身绝技。
- 传说老母还传授神箭飞刀之术于穆桂英，使她成为杨门女将的一员。
- 小说《薛丁山征西》中说贞观年间，老母收留了西凉国寒江关守將的女儿樊梨花作为徒弟，传授她移山倒海，撒豆成兵之术，成就了一名英勇善战的女元帅。
- 《白蛇传》历代部分版本中提及传授白素贞或小青骊山法术的师傅就是骊山老母。
- 《五虎平西》中的北遼公主「八寶公主」據說亦是梨山老母之徒、樊梨花等人的同門師妹。與將星「金面虎」狄青為宿世良緣，後成為狄青之續弦。
参考資料
- 《神仙感遇传》
- 《小浮梅闲话》
- 《驪山老母玄妙真經》
- 《骊山老母磨铁杵欲作绣针图》
5rtSwqDj4 Gk pWn1MToP
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...
