从美国回国探亲可带礼品大汇总(ZT)

深海鱼油 卵磷脂 维生素 花旗参 螺旋藻 血糖计 血压计 皮带 zippo 打火机 香水

 

下面是nemocell的建议

 

1 保健品

1．1 fish oil鱼油, 12 bottles

amazon.com, brand"nature made", $6 each of 1200mgX180gel

1．2 ginkgo biloba银杏片, 18 bottles

（防止老年痴呆，健忘）抗血栓，有效的预防心肌梗塞及中风的发生；

 

促进脑部的血液

循环及降低脑细胞老化，预防老年痴呆症、脑中风、大脑紊乱、眩晕症；增强记忆力和

心智功能，集中注意力。； 防治心肺疾病、哮喘、气管炎、动脉硬化；改善心脏血管

，延缓衰老。在中国重金难买,

amazon.com -Ginkgo Biloba Extract 60 MgX60 gel, $3 each

1．3 Co-Enzyme Q-10, 2bottles

预防及控制心肌梗塞，心肌衰竭，心绞痛，心跳异常，因为其显著的保护心脏的作用，

在中国重金难买,

Amazon- Sundown Co Q-10 (Coenzyme Q-10) 50 Mg Dietary Supplement Softgels -

30 Softgels $10

1．4 Alpha-lipoic acid 硫辛酸, 2bottles

糖尿病患及高危险人群；心血管疾病及高危险人群；中老年人的健康保养；皮肤干涩多

细纹者。对清除头部各器官自由基毒素格外有效，可以保护大脑、眼睛免受污染毒素和

感染的危害，解除大脑、眼睛疲劳，改善各种过敏症、炎症、鼻炎、结膜炎，增强免疫

力。 在中国重金难买.

Amazon: Alpha Lipoic Acid 100 Mg 120 Caps $4.8

 

2 化妆品及其他

2．1 lancom,75%off, purchase at thanksgiving, total $180 ,给一般朋友

2．2 clinique大黄油+赠品套装 $25 X2 , 给好朋友

2．3 CVS 男士护肤剃须用品,一般男性朋友

2.4 菲利普豪华剃须刀,原价$95, promotion价格@$29, 6个, 送亲属中男性

3 食品

3．1 巧克力：Costco 的truffle,现在正在sale, $10 /2kg/2盒, 买了3套一共6盒

,亲家一盒,自家一盒,送人3盒,自消一盒,呵呵

3．2 酒：人头马一瓶 $50刀; signature 威士忌一瓶$30, 亲家一瓶自家一瓶

4 日用品

4．1 swiss knife 简单版本 $6 each, 一共6个,送小男生和一般男性朋友

4．2 swiss knife 复杂版本 $11 each, 一共6个,送公公和爸爸

4．3 swiss knife gift set $12 each,一个六个,送好朋友的ＬＧ和亲属中男性公民

4.4 adidas 旅游鞋 , outlet on sale right now, average 50%off, and $30 each.

4.5 clumbia cloth, outlet on sale, $17 each,original price at about $100

 

5 小孩礼物

5．1 15岁以下男生：车模,刚在amazon买的,平均$7一个的hot wheels.一共4个

5．2 10以下女生：电动转笔刀和文具,学画模板书

5．3 给不太熟的小孩子文具,都是去年thanksgiving free的彩笔和free 的太阳帽子

 

6 纪念品

买几套GREETING FROM AMERICA 的邮票,五十个州各具特色.这个还没找到;

积攒的quarter,已经积攒了40个不一样的了,还差一些.

 

7 电器

7．1 laptop, $1200,被点名要的.lenovo

7．2 laser printer,$40,被点名要的, samsong

7．3 LCD,准备买个19''widescreen,希望100左右搞定,还在等,呵呵

7.4 DVD-burner

7.5 平时攒下来的free的 SD卡 CF卡, card reader, flash drive等,给需要的人

 

8 特殊用品

8.1 血糖议, free,给有需要的人

 

PS 他人劳动果实。转载

 

谁有建议可以跟贴,你也可以推荐可信的商家

 

我能想到的有

 

深海鱼油 卵磷脂

 

维生素 花旗参

 

螺旋藻 血糖计

 

血压计 皮带

 

zippo 打火机 香水

Computer Science Conference Rankings

Conference, Ranking

Topic I: Artificial Intelligence / Machine Learning / Pattern Recognition Topic II: Databases / Knowledge and Data Management / Data Security / Web / Mining （由于长度关系，会议影响因子对比部分只帖了这两个热门Topic的Conf） Topic I: AAAI: American Association for AI National Conference (0.99) NIPS: Neural Information Processing Systems (0.98) IJCAI: Intl Joint Conf on AI (0.96) ICCV: Intl Conf on Computer Vision (0.96) CVPR: IEEE Conf on Comp Vision and Pattern Recognition (0.96) ICML: Intl Conf on Machine Learning (0.95) CSSAC: Cognitive Science Society Annual Conference (0.92) UAI: Conference on Uncertainty in AI (0.91) ACL: Annual Meeting of the ACL - Association of Computational Linguistics (0.90) NAACL: North American Chapter of the ACL (0.88) GP/GECCO: Genetic and Evolutionary Computation Conference (0.85) AID: Intl Conf on AI in Design (0.84) CHI: ACM SIGCHI - Computer Human Interaction (0.84) CAIP: Intl Conf on Comp. Analysis of Images and Patterns (0.84) IPCV: Intl Conf on Image Processing, Computer Vision, and Pattern Recognition (0.83) IEEE/WIC Intl Joint Conf on Web Intelligence and Intelligent Agent Technology (0.82) CoNLL: Conference on Natural Language Learning (0.82) ICAI: (or IC-AI) International Conference on Artificial Intelligence (0.80) EMNLP: Empirical Methods in Natural Language Processing (0.79) AIME: AI in Medicine in Europe (0.76) AAMAS: Intl Conf on Autonomous Agents and Multi-Agent Systems (0.76) IAAI: Innovative Applications in AI (0.76) ICNN/IJCNN: Intl (Joint) Conference on Neural Networks (0.76) ECML: European Conf on Machine Learning (0.76) ICPR: Intl Conf on Pattern Recognition (0.76) ECAI: European Conf on AI (0.76) ICDAR: International Conference on Document Analysis and Recognition (0.75) ICTAI: IEEE conference on Tools with AI (0.74) ANNIE: Artificial Neural Networks in Engineering (0.72) AI-ED: World Conference on AI in Education (0.72) DAS: International Workshop on Document Analysis Systems (0.71) ICIP: Intl Conf on Image Processing (0.71) ICGA: International Conference on Genetic Algorithms (0.71) EA: International Conference on Artificial Evolution (0.70) WACV: IEEE Workshop on Apps of Computer Vision (0.65) COLING: International Conference on Computational Linguistics (0.64) ECCV: European Conference on Computer Vision (0.63) EACL: Annual Meeting of European Association Computational Linguistics (0.62) DocEng: ACM Symposium on Document Engineering (0.61) CAAI: Canadian Artificial Intelligence Conference (0.60) AMAI: Artificial Intelligence and Maths (0.60) ICRA: IEEE Intl Conf on Robotics and Automation (0.60) WCES: World Congress on Expert Systems (0.60) ACCV: Asian Conference on Computer Vision (0.59) CAIA: Conf on AI for Applications (0.57) IEA/AIE: Intl Conf on Ind. and Eng. Apps of AI and Expert Sys (0.57) ICCBR: International Conference on Case-Based Reasoning (0.57) ICASSP: IEEE Intl Conf on Acoustics, Speech and SP (0.57) ASC: Intl Conf on AI and Soft Computing (0.57) PACLIC: Pacific Asia Conference on Language, Information and Computation (0.56) ICONIP: Intl Conf on Neural Information Processing (0.56) IWPAAMS: Intl Workshop on Practical Appl. of Agents & Multiagent Systems (0.56) SMC: IEEE Intl Conf on Systems, Man and Cybernetics (0.55) CAEPIA: Conference of the Spanish Association for Artificial Intelligence (0.55) IWANN: Intl Work-Conf on Art and Natural Neural Networks (0.55) CIA: Cooperative Information Agents (0.55) RANLP: Recent Advances in Natural Language Processing (0.54) ICANN: International Conf on Artificial Neural Networks (0.54) MLMTA: Intl Conf on Machine Learning; Models, Technologies and Applications (0.54) NLPRS: Natural Language Pacific Rim Symposium (0.54) ACIVS: Int抣 Conference on Advanced Concepts For Intelligent Vision Systems (0.53) RSS: Robotics: Science and Systems Conference (0.53) ICAPS/AIPS: Conference on Artificial Intelligence Planning Systems (0.53) ECAL: European Conference on Artificial Life (0.53) MAAMAW: Modelling Autonomous Agents in a Multi-Agent World (0.52) ANTS: Ant Colony Optimization and Swarm Intelligence (0.51) NC: ICSC Symposium on Neural Computation (0.51) TopicII: SIGMOD: ACM SIGMOD Conf on Management of Data (0.99) VLDB: Very Large Data Bases (0.99) KDD: Knowledge Discovery and Data Mining (0.99) ICDE: Intl Conf on Data Engineering (0.98) ICDT: Intl Conf on Database Theory (0.97) S&P: IEEE Symposium on Security and Privacy (0.97) SIGIR: ACM SIGIR Conf on Information Retrieval (0.96) PODS: ACM SIGMOD Conf on Principles of DB Systems (0.95) WWW: World-Wide Web Conference (0.92) FODO: Intl Conf on Foundation on Data Organization (0.91) ER: Intl Conf on Conceptual Modeling ?ER (0.90) CIKM: Intl. Conf on Information and Knowledge Management (0.90) KR: Intl Conference on Principles of Knowledge Representation and Reasoning (0.90) DOOD: Deductive and Object-Oriented Databases (0.89) DEXA: Database and Expert System Applications (0.88) SSDBM: Intl Conf on Scientific and Statistical DB Mgmt (0.88) COMAD: Intl Conf on Management of Data (0.88) EDBT: Extending DB Technology (0.88) ICDM: IEEE International Conference on Data Mining (0.87) VDB: Visual Database Systems (0.87) SSD: Intl Symp on Large Spatial Databases (0.85) CoopIS: Conference on Cooperative Information Systems (0.85) SAM: Intl Conference on Security and Management (0.85) IFIP-DS: IFIP-DS Conference (0.85) DaWaK: Data Warehousing and Knowledge Discovery (0.85) ADTI: Intl Symp on Advanced DB Technologies and Integration (0.83) PAKDDM: Practical App of Knowledge Discovery and Data Mining (0.82) NGDB: Intl Symp on Next Generation DB Systems and Apps (0.81) MDM: Int. Conf. on Mobile Data Access/Management - MDA/MDM (0.80) ARTDB: Active and Real-Time Database Systems (0.80) CODAS: Intl Symp on Cooperative DB Systems for Adv Apps (0.80) IFIP-DBSEC: IFIP Workshop on Database Security (0.80) EFIS/EFDBS: Engineering Federated Information (Database) Systems (0.80) IDEAS: International Database Engineering and Application Symposium (0.80) USITS: USENIX Symposium on Internet Technologies and Systems (0.80) IKE: Intl Conference on Information and Knowledge Engineering (0.80) KRDB: Knowledge Representation Meets Databases (0.79) ADBIS: Symposium on Advances in DB and Information Systems (0.79) DMIN: Intl Conference on Data Mining (0.79) DBPL: Workshop on Database Programming Languages (0.79) ICOMP: (or IC in DBLP) International Conference on Internet Computing (0.79) NLDB: Applications of Natural Language to Data Bases (0.79) FQAS: Flexible Query-Answering Systems (0.79) DASFAA: Database Systems for Advanced Applications (0.79) IDC(W): International Database Conference - HK CS (0.79) NRDM: Workshop on Network-Related Data Management (0.78) RTDB: Workshop on Real-Time Databases (0.78) BNCOD: British National Conference on Databases (0.77) WebDB: International Workshop on the Web and Databases (0.77) MEWS: Mining for Enhanced Web Search (0.77) DASWIS: Data Semantics in Web Information Systems (0.77) DMDW: Design and Management of Data Warehouses (0.76) NDB: National Database Conference - China (0.76) OODBS: Workshop on Object-Oriented Database Systems (0.76) ADC: Australasian Database Conference (0.75) USENIX Security: USENIX Security Symposium (0.75) PDIS: Parallel and Distributed Information Systems (0.75) WCW: Web Caching Workshop (0.75) ISWC: International Semantic Web Conference (0.75) DOLAP: International Workshop on Data Warehousing and OLAP (0.75) WECWIS: Workshop on Advanced Issues of E-Comm. & Web Based Info. Sys. (0.75) KDEX: Knowledge and Data Engineering Exchange Workshop (0.74) MobiDE: Workshop on Data Engineering for Wireless and Mobile Access (0.74) MDDS: Mobility in Databases and Distributed Systems (0.74) SWWS: Semantic Web and Web Services (0.73) TAKMA: Theory and Applications of Knowledge Management (0.73) WIDM: International Workshop on Web Information and Data Management (0.70) DMKD: Workshop on Research Issues in Data Mining and Knowledge Discovery (0.69) WAIM: International Conference on Web Age Information Management (0.69) CDB: Constraint Databases and Applications (0.69) SPIRE: String Processing and Information Retrieval (0.69) DTVE: Workshop on Database Technology for Virtual Enterprises (0.69) IWDOM: International Workshop on Distributed Object Management (0.69) ADMA: Advanced Data Mining and Applications (0.65) PAKDD: Pacific-Asia Conf on Know. Discovery and Data Mining (0.64) W4A: Workshop on Web Accessibility (0.63) DATESO: Databases, Texts, Specifications, Objects (0.62) K-CAP: International Conference on Knowledge Capture (0.62) PKDD: Principles of Data Mining and Knowledge Discovery (0.62) KDDMBD: Knowledge Discovery & Data Mining in Biological Databases (0.61) KES: Int抣 Conf. on Knowledge-Based Intelligent Info. & Eng. Systems (0.61) DBA: Databases and Applications (0.60) ICDIM: International Conference on Digital Information Management (0.59) DNIS: Databases in Networked Information Systems (0.59) PAKM: Practical Aspects of Knowledge Management (0.57) KDID: International Workshop on Knowledge Discovery in Inductive Databases (0.55) SCN: International Conference on Security in Communication Networks (0.54) SDM: SIAM Intl Conference on Data Mining (0.51) 此外，按等级划分会议如下（只贴Top Tier和Second Tier的）： DB: Databases DM: Data Mining AI: Artificial Inteligence NL: Natural Language Processing ED: Computer Education IR: Information Retrieval W3: Web and Information Systems DP: Distributed and Parallel Computing GV: Graphics, Vision and HCI MM: Multimedia NC: Networks, Communications & Performance SE: Security and Privacy OS: Operating Systems / Simulations Top Tier Conferences  (Rank 1)   (DB) VLDB: Very Large Data Bases (since 1975) (DB) SIGMOD: ACM SIGMOD Conf on Management of Data (since 1975) (DB) PODS: ACM SIGMOD Conf on Principles of DB Systems (since 1982) (DB) ICDE: IEEE Intl Conf on Data Engineering (since 1984) (DB) ICDT: Intl Conf on Database Theory (since 1986) (DB) EDBT: Extending DB Technology (since 1988) (DM) SIGKDD: ACM Knowledge Discovery and Data Mining (since 1995) (DM) ICDM: IEEE International Conference on Data Mining (since 2001) (AI) IJCAI: Intl Joint Conf on AI (since 1969) (AI) AAAI: American Association for AI National Conference (since 1980) (AI) ICML: Intl Conf on Machine Learning (since 1984) (AI) UAI: Conference on Uncertainty in AI (since 1985) (AI) UM: Intl Conf on User Modeling (since 1985) (AI) NIPS: Neural Information Processing Systems (since 1987) (AI) AGENTS: International Conference on Autonomous Agents (since 1997) (NL) ACL: Association for Computational Linguistics (since 1963) (ED) AIED: Intl Conf on Artificial Intelligence in Education (since 1983) (ED) ITS: Intelligent Tutoring System Conference (since 1988) (IR) SIGIR: ACM SIGIR Conf on Information Retrieval (since 1971) (W3) WWW: World-Wide Web Conference (since 1994) (W3) ICIS: Intl Conf on Information Systems (since 1983) (DP) PPoPP: Principles and Practice of Parallel Programming (since 1988) (DP) PACT: Intl Conf on Parallel Arch and Compil Tech (since 1990) (DP) IPDPS: IEEE Intl Parallel and Dist Processing Symp (since 1986) (DP) ICPP: Intl Conf on Parallel Processing (SINCE 1972) (DP) Euro-Par: European Conf. on Parallel Computing (SINCE 1995) (GV)SIGGRAPH: ACM SIGGRAPH Conference (since 1974) (GV) CVPR: IEEE Conf on Comp Vision and Pattern Recognition (since 2000) (GV)ICCV: Intl Conf on Computer Vision (since 1987) (GV)I3DG: ACM-SIGRAPH Interactive 3D Graphics (MM) ACM-MM: ACM Multimedia Conference (since 1993) (NC) SIGCOMM: ACM Conf on Applic, Techno, Archit, and Protocols for Comp Comm (since 1977) (NC) PERFORMANCE: IFIP Intl Symp on Computer Performance, Modeling, Measurements & Evaluation (since 1980) (NC) SIGMETRICS: ACM Conf on Meas. & Modelling of Comp Sys (since 1981) (NC) INFOCOM: Annual Joint Conf IEEE Comp & Comm Soc (since 1982) (NC) MOBICOM: ACM Intl Conf on Mobile Computing and Networking (since 1995) (SE) IEEE Symposium on Security and Privacy (since 1980) (SE) CCS: ACM Conf on Comp and Communications Security (since 1993) (OS) SOSP: ACM SIGOPS Symp on OS Principles (since 1967) (OS) OSDI: Usenix Symp on OS Design and Implementation (since 1994) Other 1st tier conferences: (..) FOCS: IEEE Symposium on Foundations of Computer Science (since 1959) (..) STOC: ACM Symposium on Theory of Computing (since 1969) (..) ICALP: International Colloquium on Automata, Languages and Programming (since 1973) (..) SODA: SIAM/ACM Symposium on Discrete Algorithms (since 1990) (..) ISMB: Intl Conf on Intelligent Systems for Molecular Biology (since 1993) Second Tier Conferences  (Rank 2) (DB) ER: Intl Conf on Conceptual Modeling (Conf on the Entity Relationship Approach) (Since 1979) (DB) SSDBM: Intl Conf on Scientific and Statistical DB Mgmt (since 1981) (DB) FODO: Intl Conf on Foundation on Data Organization (since 1981) (DB) DASFAA: Database Systems for Advanced Applications (since 1989) (DB) SSD: Intl Symp on Large Spatial Databases (since 1989) (DB) DOOD: Deductive and Object-Oriented Databases (since 1989) (DB) CIKM: Intl. Conf on Information and Knowledge Management (since 1992) (DB) CoopIS: Conference on Cooperative Information Systems (since 1993) (DM) PAKDD: Pacific-Asia Conf on Know. Discovery & Data Mining (since 1997) (DM) PKDD: European Conf on Principles and Practice of Knowledge Discovery in Databases (since 1997) (DM) DAWAK: Intl Conf on Data Warehousing and Knowledge Discovery (since 1999) (DM) SDM: SIAM International Conference on Data Mining (since 2001) (AI) AID: Intl Conf on AI in Design (since 1991) (AI) ECAI: European Conf on AI (since 1974) (AI) ECML: European Conf on Machine Learning (since 1986) (AI) GECCO: Genetic and Evolutionary Computation Conference (since 1999) (AI) ICGA: Intl Conf on Genetic Algorithms (since 1991) (AI) GP: Genetic Programming Conference (since 1995) (AI) IAAI: Innovative Applications of AI (since 1989) (AI) ICIP: Intl Conf on Image Processing (since 1994) (AI) ICNN/IJCNN: Intl (Joint) Conference on Neural Networks (since 1989) (AI) ICPR: Intl Conf on Pattern Recognition (since 1989) (AI) ICDAR: Intl Conf on Document Analysis and Recognition (since 1991) (AI) ICTAI: IEEE conference on Tools with AI (since 1989) (AI) AMAI: Intl Symp on Artificial Intelligence and Maths (since 1990) (NL) EACL - European Association for Computational Linguistics (since 1983) (NL) COLING: Intl Conf on Computational Liguistics (since 1966) (NL) EMNLP: Conf on Empirical Methods in Natural Language Processing (since 1996) (ED) ICALT: IEEE Intl Conf on Advanced Learning Technologies (since 2001) (IR) TREC: Text REtrieval Conference (since 1992) (IR) ECIR: European Conference on Information Retrieval (since 1979) (W3) HYPERTEXT: ACM Conference on Hypertext and Hypermedia (since 1987) (W3) EC-web: Intl Conf on Electronic Commerce and Web Technologies (since 2000) (W3) WISE: Intl Conf on Web Information Systems Engineering (since 2000) (W3) ICWS: IEEE Intl Conf on Web Services (since 2003) (DP) ICDCS: IEEE Intl Conf on Distributed Comp Systems (since 1980) (DP) PODC: ACM Symp on Principles of Distributed Computing (since 1982) (DP) SPAA: ACM Symp on Parallel Algms and Architecture (since 1989) (DP) ASAP: Intl Conf on Apps for Specific Array Processors (DP) CCC: Cluster Computing Conference (DP) ICPADS: IEEE Intl Conf on Parallel and Distributed Systems (Since 1994?) (GV) ECCV: European Conference on Computer Vision (since 1998) (GV) EUROGRAPH: European Graphics Conference (GV) CGI: Computer Graphics International (since 1997) (GV) CA: Computer Animation (since 1997) (MM) IEEE-MM: IEEE Intl Conf on Multimedia Computing and Sys (MM) MMCN: ACM/SPIE Multimedia Computing and Networking (MM) ICME: Intl Conf on MMedia & Expo (since 2000) (NC) NetStore: Network Storage Symposium (NC) IC3N: Intl Conf on Comp Comm and Networks (NC) LCN: IEEE Annual Conference on Local Computer Networks (NC) ICC: Intl Conf on Comm (NC) WCNC: IEEE Wireless Communications and Networking Conference (SE) SECURITY: Usenix Security Symposium (since 1992) (SE) ESORICS: European Symposium on Research in Computer Security (since 1990) (OS) IEEE Annual Simulation Symposium (since 1968) (OS) MASCOTS: Symp Model Analysis & Sim on Comp & Telecom Sys (since 1993) Other 2nd tier conferences: (..) CC: Compiler Construction (since 1986)

Venus Just After Sunset

 

 

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Venus Just After Sunset

via Astronomy Picture of the Day RSS Feed on 10/20/10

Venus Just After Sunset Is that Venus or an airplane? A common ponderable for sky enthusiasts is deciding if that bright spot near the horizon is the planet Venus. Usually, an airplane will show itself by moving significantly in a few moments. Venus will set only slowly as the Earth turns. Still, the identification would be easier if Venus did not keep shifting its position each night. Pictured above, Venus was captured on 44 different nights during 2006 and 2007 over the Bolu mountains in Turkey, when Earth's sister planet appeared exclusively in the evening sky. The average spacing of the images was about five days, while the images were always taken with the Sun about seven degrees below the horizon. That bright spot toward the west in your evening sky this month might be neither Venus nor an airplane, but Mars.

 

 

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结婚笔记3-买房

 

 

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结婚笔记3-买房

via 千里驴常有，伯乐也有了！ by 驴子 on 10/16/10

自2007年以降，房价一直在升。全国人民讨论房子问题的积极性增长之迅速比起房价本身的窜高有过之而无不及，政府屡次三番的进行调控仍然收效甚微，地产商则认为人们对房子的需求是刚性需求不愁卖不出去，加之群众们追涨杀跌的非理性心理，使得房价节节攀升……虽然我在最开始就没有把买房这个事儿放进规划之中，但是作为结婚笔记毫不涉及这个话题可以说是不完整的了，因此还是要记一下我对房子问题的看法。

关于房子的重要性，我和大多数人一样觉得是无庸置疑的，总不可能无家可归居无定所吧，特别是结婚以后，不论是跟爸妈同住还是与同事朋友拼居，都会有诸多不便，还是得想办法搞个属于自己的房子--不过这个"属于"可以是所有权也可以是使用权。于是问题就转化成了我们应该买一套房子还是应该租一套房子，下面用反证法，假设该买，看能否推出很糟糕的结论。

一旦确定要买房，就得回答"在什么时候买"和"怎么买"：

1 该在什么时候买房

从自身能力的角度来说 ，刚毕业一年多，收入不丰，存款寥寥4，5万，买个戒指办个婚礼度个蜜月估计就花光了，如何奢谈买房？先看一组数据：

要知道，折算一下收入和房价的比例，在国外买房甚至比北京上海容易。当鬼子们刚走出校园开始四处毕业旅行的时候，我们辛苦加班打工挣着微薄的薪水还在操心怎么才能买下一两百万的房子。贵国的子民们二十六七岁两手空空却都争相买房实在是个很诡异的事情，虽然这已经成为了事实，不过在这个畸形变态的社会里我们是否也要跟着一起畸了呢？

从外部环境来说 ，在一个没有土地权，而财产权又得不到制度性保障的奇葩国家里，谁敢保证今天发生在那些被强拆、被自杀的住户身上的惨案不会在二三十年后落到下一批房产所有者身上呢？面对造出楼盘可以整体跪倒，承重墙可以填充泡沫，盖房子可以用胶水的奇葩开发商们，谁有信心买到的房子可以稳稳当当的一直住下去呢？在这样一个朝令夕改的奇葩政府的照顾之下，谁知道那不算很长的七十年的房产有效期会不会被进一步缩短呢？

从房地产市场的现状来说 ，垄断国企纷纷进入地产行业造出一个又一个的地王，各种民企也都无心做实业将资金转移到楼市之中，靠这种热钱推高的房价到底有多少水分和泡沫呢？并不消耗太多"社会必要劳动时间"的砖墙瓦砾，要卖到几万一平米，价格和价值是否已经脱钩了呢？高房价的接力棒不知道还能坚持传多久，不过最后肯定是要咂在普罗大众手中。

2 该通过什么方式买

没钱又想买房，只能借，平时关系再好朋友同事也就只能借个万儿八千的救救急，对买房而言可谓杯水车薪，于是只剩下两个选择：父母和银行。而且很可能需要双管齐下。

父母出钱买房 ，要说还是中国的父母最伟大，辛辛苦苦省吃俭用攒了一辈子的几十万块钱，就愿意全砸在儿女身上，管吃管喝二十几年，还要帮忙出首付买房子。但是我总觉得是很亏心的，因为无以回报啊，父母以后（也要不了几年了）退了休，在家待着无聊的时候，我还在外地工作不能陪在身边;他们生病了要花钱医治，我却因为工资都还了贷款而没什么积蓄……如果说反哺之事是心有余而力不足，那让我把来自父母的爱心传递下去，将我的积蓄全花在自己小孩身上（如果以后想要小孩的话），我真是连心都没有了……而一边心安理得地享受着上一辈、甚至几辈的无私奉献，一边对着自己的小孩喊"你要自立"，这也太恶心了点儿。我的意思是，既然我觉得自己将来肯定会学习西方经验而不在下一代身上倾其所有，那么现在也不该贪婪地找父母索取过多。

另一方面，父母出钱买的房，总归还是他们的财产，我只能算是无偿居住，心里始终是矮了一截儿，比如在怎么装修的问题上，一旦发生了分歧，争执起来都没有底气。我当然毫不怀疑父母给我买房的初衷和动机，只是缺少经济上的独立自主，寄人篱下自然会觉得发言权要小很多。（again，我充分理解父母的好心，并且表示感激）

找银行贷款 ，有个段子，讲得是中国老太婆和美国老太婆驾鹤进了天堂，一个说自己终于把买房的贷款还完了，一个说自己终于把买房的钱凑齐了。并由此引伸出对东西方人金钱观的思考，给人感觉似乎是提前消费的美国老太太比较明智。然而，尽管贷款与找父母借钱或者干脆是要钱不同，跟银行之间的债务关系十分纯净，欠债还钱天经地义，也不会有什么道德上的负担，然而每天早上一睁眼就欠银行几百块钱，并且持续十年、二十年甚至三十年，这还是有很大的心理压力，只能盼着自己不要被单位解雇，最好还能慢慢往上爬一点，而类似于"辞职休息一两个月"，或者"改行做点别的兴趣之所在"，或者"出国读两年书"，更是万万是不敢想的。

3 买房后会怎样

除开上面已提到的买房后经济上的诸多弊端，我们还要面对很可能出现的被房价逼到郊区之后每天上下班路上一两个小时的交通问题，已经政府将来美其名曰调控楼市打击炒房而出台政策增加物业税房产税时普通业主躺着中枪的问题（可参考有车一族们这几年是怎么背上一个又一个包袱的：涨油价，单双号限行，停车费，养路费，过桥费，钓鱼违规罚单……），总之买了房就像老黄牛给套上了耕犁，从此就勤勤恳恳的为银行，为开发商，为党国干几十年苦力吧。

如果执意要买，结果会怎样呢？最近正好看到几个案例。

一个参加工作没几年的清华毕业生买房后 ：

一个算得上事业小有成就的中产阶级家庭买房后 ：

虽然这只是两个个案，不能严格推出什么结论，但是这些结果是具有普遍性的还是仅仅是特例大家可以掂量。

反之，如果不买房呢？那就如我之前所说 的，碰到什么喜欢的就买吧 ，iTouch、iPad什么的都是浮云，LV啊GUCCI啊也就一平米，单反加镜头不到两平米，亚洲围着玩一圈也就一个厕所，欧洲绕着跑一遍也就一个客厅，我靠，人生他妈的豁然开朗阿。

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英语学术论文常用句型

英语学术论文常用句型

    Beginning
    1. In this paper, we focus on the need for
    2. This paper proceeds as follow.
    3. The structure of the paper is as follows.
    4. In this paper, we shall first briefly introduce fuzzy sets and related concepts
    5. To begin with we will provide a brief background on the
    Introduction
    1. This will be followed by a description of the fuzzy nature of the problem and a detailed presentation of how the required membership functions are defined.
    2. Details on xx and xx are discussed in later sections.
    3. In the next section, after a statement of the basic problem, various situations involving possibility knowledge are investigated: first, an entirely possibility model is proposed; then the cases of a fuzzy service time with stochastic arrivals and non fuzzy service rule is studied; lastly, fuzzy service rule are considered.
    Review
    1. This review is followed by an introduction.
    2. A brief summary of some of the relevant concepts in xxx and xxx is presented in Section 2.
    3. In the next section, a brief review of the .... is given.
    4. In the next section, a short review of ... is given with special regard to ...
    5. Section 2 reviews relevant research related to xx.
    6. Section 1.1 briefly surveys the motivation for a methodology of action, while 1.2 looks at the difficulties posed by the complexity of systems and outlines the need for development of possibility methods.
    Body
    1. Section 1 defines the notion of robustness, and argues for its importance.
    2. Section 1 devoted to the basic aspects of the FLC decision making logic.
    3. Section 2 gives the background of the problem which includes xxx
    4. Section 2 discusses some problems with and approaches to, natural language understanding.
    5. Section 2 explains how flexibility which often ... can be expressed in terms of fuzzy time window
    6. Section 3 discusses the aspects of fuzzy set theory that are used in the ...
    7. Section 3 describes the system itself in a general way, including the ….. and also discusses how to evaluate system performance.
    8. Section 3 describes a new measure of xx.
    9. Section 3 demonstrates the use of fuzzy possibility theory in the analysis of xx.
    10. Section 3 is a fine description of fuzzy formulation of human decision.
    11. Section 3, is developed to the modeling and processing of fuzzy decision rules
    12. The main idea of the FLC is described in Section 3 while Section 4 describes the xx strategies.
    13. Section 3 and 4 show experimental studies for verifying the proposed model.
    14. Section 4 discusses a previous fuzzy set based approach to cost variance investigation.
    15. Section 4 gives a specific example of xxx.
    16. Section 4 is the experimental study to make a fuzzy model of memory process.
    17. Section 4 contains a discussion of the implication of the results of Section 2 and 3.
    18. Section 4 applies this fuzzy measure to the analysis of xx and illustrate its use on experimental data.
    19. Section 5 presents the primary results of the paper: a fuzzy set model ..
    20. Section 5 contains some conclusions plus some ideas for further work.
    21. Section 6 illustrates the model with an example.
    22. Various ways of justification and the reasons for their choice are discussed very briefly in Section 2.
    23. In Section 2 are presented the block diagram expression of a whole model of human DM system
    24. In Section 2 we shall list a collection of basic assumptions which a ... scheme must satisfy.
    25. In Section 2 of this paper, we present representation and uniqueness theorems for the fundamental measurement of fuzziness when the domain of discourse is order dense.
    26. In Section 3, we describe the preliminary results of an empirical study currently in progress to verify the measurement model and to construct membership functions.
    27. In Section 5 is analyzed the inference process through the two kinds of inference experiments...This Section
    1. In this section, the characteristics and environment under which MRP is designed are described.
    2. We will provide in this section basic terminologies and notations which are necessary for the understanding of subsequent results.Next Section
    2. The next section describes the mathematics that goes into the computer implementation of such fuzzy logic statements.
    3. However, it is cumbersome for this purpose and in practical applications the formulae were rearranged and simplified as discussed in the next section.
    4. The three components will be described in the next two section, and an example of xx analysis of a computer information system will then illustrate their use.
    5. We can interpret the results of Experiments I and II as in the following sections.
    6. The next section summarizes the method in a from that is useful for arguments based on xx
    Summary
    1. This paper concludes with a discussion of future research consideration in section 5.
    2. Section 5 summarizes the results of this investigation.
    3. Section 5 gives the conclusions and future directions of research.
    4. Section 7 provides a summary and a discussion of some extensions of the paper.
    5. Finally, conclusions and future work are summarized
    6. The basic questions posed above are then discussed and conclusions are drawn.
    7. Section 7 is the conclusion of the paper.
    Chapter 0. Abstract
    1. A basic problem in the design of xx is presented by the choice of a xx rate for the measurement of experimental variables.
    2. This paper examines a new measure of xx in xx based on fuzzy mathematics which overcomes the difficulties found in other xx measures.
    3. This paper describes a system for the analysis of the xx.
    4. The method involves the construction of xx from fuzzy relations.
    5. The procedure is useful in analyzing how groups reach a decision.
    6. The technique used is to employ a newly developed and versatile xx algorithm.
    7. The usefulness of xx is also considered.
    8. A brief methodology used in xx is discussed.
    9. The analysis is useful in xx and xx problem.
    10. A model is developed for a xx analysis using fuzzy matrices.
    11. Algorithms to combine these estimates and produce a xx are presented and justified.
    12. The use of the method is discussed and an example is given.
    13. Results of an experimental applications of this xx analysis procedure are given to illustrate the proposed technique.
    14. This paper analyses problems in
    15. This paper outlines the functions carried out by ...
    16. This paper includes an illustration of the ...
    17. This paper provides an overview and information useful for approaching
    18. Emphasis is placed on the construction of a criterion function by which the xx in achieving a hierarchical system of objectives are evaluated.
    19. The main emphasis is placed on the problem of xx
    20. Our proposed model is verified through experimental study.
    21. The experimental results reveal interesting examples of fuzzy phases of: xx, xx
    22. The compatibility of a project in terms of cost, and xx are likewise represented by linguistic variables.
    23. A didactic example is included to illustrate the computational procedure 
    Chapter 1. Introduction
    Time
    1. Over the course of the past 30 years, .. has emerged form intuitive
    2. Technological revolutions have recently hit the industrial world
    3. The advent of ... systems for has had a significant impact on the
    4. The development of ... is explored
    5. During the past decade, the theory of fuzzy sets has developed in a variety of directions
    6.The concept of xx was investigated quite intensively in recent years
    7. There has been a turning point in ... methodology in accordance with the advent of ...
    8. A major concern in ... today is to continue to improve...
    9. A xx is a latecomer in the part representation arena.
    10. At the time of this writing, there is still no standard way of xx
    11. Although a lot of effort is being spent on improving these weaknesses, the efficient and effective method
    has yet to be developed.
    12. The pioneer work can be traced to xx [1965].
    13. To date, none of the methods developed is perfect and all are far from ready to be used in commercial systems.
    Objective / Goal / Purpose
    1. The purpose of the inference engine can be outlined as follows:
    2. The ultimate goal of the xx system is to allow the non experts to utilize the existing knowledge in the area of manual handling of loads, and to provide intelligent, computer aided instruction for xxx.
    3. The paper concerns the development of a xx
    4. The scope of this research lies in
    5. The main theme of the paper is the application of rule based decision making.
    6. These objectives are to be met with such thoroughness and confidence as to permit ...
    7. The objectives of the ... operations study are as follows:
    8. The primary purpose/consideration/objective of
    9. The ultimate goal of this concept is to provide
    10. The main objective of such a ... system is to
    11. The aim of this paper is to provide methods to construct such probability distribution.
    12. In order to achieve these objectives, an xx must meet the following requirements:
    13. In order to take advantage of their similarity
    14. more research is still required before final goal of ... can be completed
    15. In this trial, the objective is to generate...
    16. for the sake of concentrating on ... research issues
    17. A major goal of this report is to extend the utilization of a recently developed procedure for the xx.
    18. For an illustrative purpose, four well known OR problems are studied in presence of fuzzy data: xx.
    19. A major thrust of the paper is to discuss approaches and strategies for structuring ..methods
    20. This illustration points out the need to specify
    21. The ultimate goal is both descriptive and prescriptive.
    22. Chapter 2. Literature Review
    23. A wealth of information is to be found in the statistics literature, for example, regarding xx
    24. A considerable amount of research has been done .. during the last decade
    25. A great number of studies report on the treatment of uncertainties associated with xx.
    26. There is considerable amount of literature on planning
    27. However, these studies do not provide much attention to uncertainty in xx.
    28. Since then, the subject has been extensively explored and it is still under investigation as well in
    methodological aspects as in concrete applications.
    29. Many research studies have been carried out on this topic.
    30. Problem of xx draws recently more and more attention of system analysis.
    31. Attempts to resolve this dilemma have resulted in the development of
    32. Many complex processes unfortunately, do not yield to this design procedure and have, therefore, not yet been automated.
    33. Most of the methods developed so far are deterministic and /or probabilistic in nature.
    34. The central issue in all these studies is to
    35. The problem of xx has been studied by other investigators, however, these studies have been based upon classical statistical approaches.
    36. Applied ... techniques to
    37. Characterized the ... system as
    38. Developed an algorithm to
    39. Developed a system called ... which
    40. Uses an iterative algorithm to deduce
    41. Emphasized the need to
    42. Identifies six key issues surrounding high technology
    43. A comprehensive study of the... has been undertaken
    44. Much work has been reported recently in these filed
    45. Proposed/Presented/State that/Described/Illustrated/
    Indicated/Has shown / showed/Address/Highlights
    46. Point out that the problem of
    47. A study on ...was done / developed by []
    48. Previous work, such as [] and [], deal only with
    49. The approach taken by [] is
    50. The system developed by [] consists
    51. A paper relevant to this research was published by []
    52. []'s model requires consideration of...
    53. []' model draws attention to evolution in human development
    54. []'s model focuses on...
    55. Little research has been conducted in applying ... to
    56. The published information that is relevant to this research...
    57. This study further shows that
    58. Their work is based on the principle of
    59. More history of ... can be found in xx et al. [1979].
    60. Studies have been completed to established
    61. The ...studies indicated that
    62. Though application of xx in the filed of xx has proliferated in recent years, effort in analyzing xx, especially xx, is lacking.
    Problem / Issue / Question
    63. Unfortunately, real-world engineering problems such as manufacturing planning do not fit well with this narrowly defined model. They tend to span broad activities and require consideration of multiple aspects.
    64. Remedy / solve / alleviate these problems
    67. ... is a difficult problem, yet to be adequately resolved
    68. Two major problems have yet to be addressed
    69. An unanswered question
    70. This problem in essence involves using x to obtain a solution.
    71. An additional research issue to be tackled is ....
    72. Some important issues in developing a ... system are discussed
    73. The three prime issues can be summarized:
    74. The situation leads to the problem of how to determine the ...
    75. There have been many attempts to
    76. It is expected to be serious barrier to
    77. It offers a simple solution in a limited domain for a complex

向Latex中插入Visio画的流程图（转成EPS格式）

添加评论2007年5月12日 软件兔

从来没用过Latex的，结果这几天GF毕业逼我帮他画图，就陆陆续续地会了一点Latex中的画图。前几天GF突然拿了一个流程图让给他画出来，一看流程图的复杂程度……@#*&@#^%$  只好向她力荐Visio，在向她介绍了近半小时Visio的诸多便捷之处后，她终于同意了（其实是不耐烦听下去了……）。

虽然用Latex画会觉得图复杂，但用Visio简直是太小儿科了，装上Visio后三下五除二就搞定了。然后导出为JPG，JPG再转成EPS，再从Latex中引用这个EPS图形，很快就搞定了，不过就是有点不清楚较为模糊的样子 ^_^

但今天GF又找我，说越看越模糊，不行，让重新用Latex画…… 郁闷了……

回来后不死心，放狗搜了一下，发现原来EPS是矢量图（呵呵，不好意思，以前从来没接触过EPS格式），那就很清楚了，因为JPG是位图，转矢量后效果当然不好了。

到Visio中看了一下，导出格式中有几种矢量格式，但Latex似乎都不支持，最后搜了一下，发现有个wmf2eps.exe，可以把WMF格式转换成EPS，那就死马当活马医一把吧。

先导出WMF矢量图，再下载wmf2eps.exe，安装后看了一下界面倒也简单，就一个转换功能，但转换时提示需要把PDF打印机的“属性－打印首先项－Adobe PDF Settings”中的“Do not send fonts to "Adobe PDF"”取消选定（晕，装这么个小东西竟然给我的系统里装了个“Adobe PDF”虚拟打印机），都提示得这么清楚了，当然好说，很快就取消了。

重新打印，这次不提示那个错误了，又出来一个新错误：

—————————
EPS error
—————————
Could not read BoundingBox out of line
‘%%BoundingBox: (atend) ‘.
WMF2EPS will continue, but expect bad output !
—————————
确定   
—————————

这算什么事儿呀，玩儿我呢，这种提示让我怎么处理呀~。差点就放弃了，但想到既然别人能用，说明这个软件还是能的，估计还是哪儿的设置有问题，就一点一点地找（软件里没什么可设的，就是去虚拟打印机里改设置），最后终于发现当“属性－打印首先项－纸张/质量－高级－文档选项－PostScript选项－PostScript输出选项”中的值改为“内嵌的 PostScript（EPS）”时转换就不报错了，用GSview一看，呵呵，一点问题也没有，搞定~

没想到这么点小问题竟然前后用了三个多小时才搞定，浪费了我许多周末睡觉的大好时光~

第二个问题的设置点找起来比较麻烦，抓个图说明一下：

另外，wmf2eps.exe这个文件也不是很好找（特别是带Patch的），顺便也把它传上来。其实不破解也能用的，只是用之前需要稍等几秒而已，我用的时候就没破解，反正也用不了几次。

下载地址: wmf2eps.rar(With Patch)

另外值得一提的是Visio转成WFM格式时如果第一个对象（过程/文档/输入等）中的文本如果是竖排的话，转换后的WMF图中所有的文本就全是竖排的，看上去格式就全乱了，所以如果大多数对象中的文本都是横排的话就要把第一个（全部）纵排的文本变成横排的。至于怎么让横排文本看上去的效果象纵排的，实现方法很多，也都很简单，我就懒得仔细描述了。

PS: 刚才看到人有说把Visio导出成两倍大小的JPG，然后再把JPG转换成EPS插入到Latex中去也能得到清晰的效果，但我一开始时这么做过，结果是如果原图较小，放大后倒是可行的，但如果原图本来就很大，放大插入到Latex中虽然清晰，但页面中根本显示不开，如果进行一下缩放，缩小到合适的大小就又放得不