【latex版】水贴

During 1982, seven localities and 22 villages were selected from the Vellore town and KV Kuppam development block sampling frames, respectively. All children aged 5–7 years were screened for signs of malnutrition by consultant pediatricians. The children from rural and urban areas of Vellore town were screened at baseline and were followed up for 3.5 years where, data was collected at every sixth month, spanning seven follow-ups. Oral consent was obtained from the parents of these children. The written informed consent was not mandatory during that time. The Christian Medical College Vellore IRB provided ethical approval. The anthropometric data were collected by two anthropologists, and care was taken to reduce inter- and intra-observer variation by standardizing the procedure.

There are different criteria to detect children with UW, however, this paper used body mass index (BMI) Z scores. BMI Z scores were classified as Severe, Mild/Moderate UW and, Normal using <−3Z<−3Z, −3Z−3Z to −2Z−2Z and >−2Z>−2Z score, respectively, [16]. The EPIINFO version 3.5.1 Nutrition module was used to compute the age and sex specific Z scores [14].

Let YtYt be the malnutrition state measured at time t; t=0,1,2,3,4,5,6,7. Then, YtYt is said to have the Markov property, if P(Yt+1∣Y1,Y2,…,Yt)=P(Yt+1∣Yt)P(Yt+1∣Y1,Y2,…,Yt)=P(Yt+1∣Yt). In otherwords, the probability of future state of malnutrition depends only on the current state and not on the past states. The conditional probabilities describing the future state of the process given the states occupied by the process in the past are referred to as transition probabilities and are denoted by
pij(t,t+1)=P(Yt+1=j∣Yt=i),pij(t,t+1)=P(Yt+1=j∣Yt=i),(1)
where pij≥0, ∀i,jpij≥0, ∀i,j; ∑jpij=1, ∀i∑jpij=1, ∀i; i, j=1, 2, 3, the states of malnutrition.

“你们有三个选择：你可以选择A，或者A，或者A。”

　　哇，琳琅满目耶。

　　什么？你想选择B？好的，谢谢你选择A。什么？你想选择B？好的，谢谢你选择A。

一种“睡梦教育”，就是在人睡着时不断地向他们广播重复信息。比如，“苹果是个坏东西”、“苹果是个坏东西”、“苹果是个坏东西”……等睡梦中的人们醒过来时，他们会伸着懒腰揉着双眼，喃喃自语：苹果是个坏东西。

Interview: M.C. Srivas, MapR on Demystifying the Art of Processing Massive Data

M.C. Srivas ran one of the major search infrastructure teams at Google where GFS, BigTable and MapReduce were used extensively. He wanted to provide that powerful capability to everyone, and started MapR on his vision to build the next-generation platform for semi-structured big data. His strategy was to evolve Hadoop and bring simplicity of use, extreme speed and complete reliability to Hadoop users everywhere, and make it seamlessly easy for enterprises to use this powerful new way to get deep insights. That vision is shared by all at MapR. Srivas brings to MapR his experiences at Google, Spinnaker Networks, Transarc in building game-changing products that advance the state of the art.

M.C. Srivas

M.C. Srivas

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