Nonparametric Bayesian sparse factor models with application to gene expression modeling

A nonparametric Bayesian extension of Factor Analysis (FA) is proposed where observed data $\mathbf{Y}$ is modeled as a linear superposition, $\mathbf{G}$, of a potentially infinite number of hidden factors, $\mathbf{X}$. The Indian Buffet Process (IBP) is used as a prior on $\mathbf{G}$ to incorporate sparsity and to allow the number of latent features to be inferred. The model's utility for modeling gene expression data is investigated using randomly generated data sets based on a known sparse connectivity matrix for E. Coli, and on three biological data sets of increasing complexity.

Farming the seaweed Kappaphycus

Seaweed farming is the top foreign exchange earner for the Philippines. Kappaphycus constitutes 80% of the Philippine seaweed export. It is sold in both fresh and dried forms; although dried seaweed has a greater demand, fresh seaweed is highly prices in restaurants. The 3 main seaweed products marketed are agar, alginate and carrageenan. A brief outline is given of farming operations and investment costs and returns.

沉淀剂YNB99—1在肝素钠精制中的应用

在pH 3．0时，去除85和95～105 USP u／mg粗品肝素钠的杂蛋白分别使用 0．05％和0．03％的YNB 99一l。120 USP u／mg以上的粗品在pH中性下直接使用0．05％ 的YNB 99—1即可。在氧化精制中，加入0．005％的YNB 99—1可使HzOz用量减少至 1．5％，氧化时间缩短至12 h。精品效价170 USP u／mg以上，产品收率90％以上。

Phrase-based statistical language generation using graphical models and active learning

Most previous work on trainable language generation has focused on two paradigms: (a) using a statistical model to rank a set of generated utterances, or (b) using statistics to inform the generation decision process. Both approaches rely on the existence of a handcrafted generator, which limits their scalability to new domains. This paper presents BAGEL, a statistical language generator which uses dynamic Bayesian networks to learn from semantically-aligned data produced by 42 untrained annotators. A human evaluation shows that BAGEL can generate natural and informative utterances from unseen inputs in the information presentation domain. Additionally, generation performance on sparse datasets is improved significantly by using certainty-based active learning, yielding ratings close to the human gold standard with a fraction of the data. © 2010 Association for Computational Linguistics.

Achieving Csiszár's source-channel coding exponent with product distributions

We derive a random-coding upper bound on the average probability of error of joint source-channel coding that recovers Csiszár's error exponent when used with product distributions over the channel inputs. Our proof technique for the error probability analysis employs a code construction for which source messages are assigned to subsets and codewords are generated with a distribution that depends on the subset. © 2012 IEEE.

Templates and anchors for antenna-based wall following in cockroaches and robots

The interplay between robotics and neuromechanics facilitates discoveries in both fields: nature provides roboticists with design ideas, while robotics research elucidates critical features that confer performance advantages to biological systems. Here, we explore a system particularly well suited to exploit the synergies between biology and robotics: high-speed antenna-based wall following of the American cockroach (Periplaneta americana). Our approach integrates mathematical and hardware modeling with behavioral and neurophysiological experiments. Specifically, we corroborate a prediction from a previously reported wall-following template - the simplest model that captures a behavior - that a cockroach antenna-based controller requires the rate of approach to a wall in addition to distance, e.g., in the form of a proportional-derivative (PD) controller. Neurophysiological experiments reveal that important features of the wall-following controller emerge at the earliest stages of sensory processing, namely in the antennal nerve. Furthermore, we embed the template in a robotic platform outfitted with a bio-inspired antenna. Using this system, we successfully test specific PD gains (up to a scale) fitted to the cockroach behavioral data in a "real-world" setting, lending further credence to the surprisingly simple notion that a cockroach might implement a PD controller for wall following. Finally, we embed the template in a simulated lateral-leg-spring (LLS) model using the center of pressure as the control input. Importantly, the same PD gains fitted to cockroach behavior also stabilize wall following for the LLS model. © 2008 IEEE.

三峡水库香溪河库湾主要营养盐的入库动态

基于香溪河及其主要支流高岚河的5a监测数据,估算三峡水库香溪河库湾氮磷营养盐的入库通量,并分析了氮磷营养盐的浓度及其通量的逐月动态。研究发现,每年大约有1623.49t总氮和331.85t总磷汇入香溪河库湾,其中,香溪河贡献了68.50%的总氮和91.74%的总磷。在这两条河流中,溶解无机氮是氮的主要存在形式;氮通量表现出夏季7月份偏高、春秋季次之、冬季较低的规律;面源污染是氮进入河道的主要途径。磷酸盐是香溪河磷的主要存在形式,而高岚河磷酸盐的含量则较低;香溪河磷通量的月均波动规律不明显,高岚河磷通量的高

武汉市饮用水中浮游藻类的调查

目的了解武汉市饮用水中浮游藻类的污染情况。方法分别于1999-2001年春、夏、秋、冬对武汉市不同水源供水区末梢水和同一地点水箱水进行4次采样,进行藻类形态学检测。结果生活饮用水中浮游藻类有蓝藻门(Cyanophyta)、隐藻门(Cryptohyta)、金藻门(Chrysophyta)、硅藻门(Bacillariophyta)、裸藻门(Euglenophyta)、绿藻门(Chlorophyta)等6个门,56个属、97个种藻类(其中67个鉴定到种,30个鉴定到属)。城市末梢水中浮游藻类检出为89%,饮水水

Rhythmic feedback control of a blind planar juggler

The paper considers the feedback stabilization of periodic orbits in a planar juggler. The juggler is "blind," i.e, he has no other sensing capabilities than the detection of impact times. The robustness analysis of the proposed control suggests that the arms acceleration at impact is a crucial design parameter even though it plays no role in the stability analysis. Analytical results and convergence proofs are provided for a simplified model of the juggler. The control law is then adapted to a more accurate model and validated in an experimental setup. © 2007 IEEE.

Sensorless stabilization of bounce juggling

The paper studies the properties of a sinusoidally vibrating wedge billiard as a model for 2-D bounce juggling. It is shown that some periodic orbits that are unstable in the elastic fixed wedge become exponentially stable in the nonelastic vibrating wedge. These orbits are linked with certain classical juggling patterns, providing an interesting benchmark for the study of the frequency-locking properties in human rhythmic tasks. Experimental results on sensorless stabilization of juggling patterns are described. © 2006 IEEE.