Model-based or algorithm-based? Statistical evidence for diabetes and treatments using gene expression

Gene expression profiles obtained from samples of diabetic and normal rats with and without treatments can be used to identify genes that distinguish normal and diabetic individuals and also to evaluate the effectiveness of drug treatments. This study examines changes in global gene expression in rat muscle caused by streptozotocin-induced diabetes and vanadyl sulfate treatment. We explored model-based and algorithm-based methods with gene screening measures for microarray gene expression data to classify and predict individuals with high risk of diabetes. Results show that the mixed ANOVA model-based approach provides an efficient way to conduct an investigation of the inherent variability in gene expression data and to estimate the effects of experimental factors such as treatments and diseases and their interactions. The algorithm-based weighted voting and neural network classifiers show good classification performance for the diabetes and treatment groups. Although neural network performs better than weighted voting with higher classification rate, the interpretation of weighted voting is more straightforward. The study indicates that the choice of the gene selection procedure is at least as important as the choice of the classification procedure. We conclude that both mixed model-based and algorithm-based approaches provide the statistical evidence of the biological hypotheses that vanadyl sulfate treatment of diabetic animals restores gene expression patterns to normal. Although model-based and algorithm-based methods provide different strengths and perspective for the analysis of the same set of data, in general both can be considered and developed for analyzing factorial design experiments with multiple groups and factors. This study represents a major step towards the discovery of responsible genes related to diabetes and its treatment.     

Hybrid life-cycle environmental and cost inventory of sewage sludge treatment and end-use scenarios: a case study from China

Sewage sludge management poses environmental, economic, and political challenges for wastewater treatment plants and municipalities around the globe. To facilitate more informed and sustainable decision making, this study used life-cycle inventory (LCI) to expand upon previous process-based LCIs of sewage sludge treatmenttechnologies. Additionally, the study evaluated an array of productive end-use options for treated sewage sludge, such as fertilizer and as an input into construction materials, to determine how the sustainability of traditional manufacturing processes changes with sludge as a replacement for other raw inputs. The inclusion of the life-cycle of necessary inputs (such as lime) used in sludge treatment significantly impacts the sustainability profiles of different treatment and end-use schemes. Overall, anaerobic digestion is generally the optimal treatment technology whereas incineration, particularly if coal-fired, is the most environmentally and economically costly. With respect to sludge end use, offsets are greatest for the use of sludge as fertilizer, but all of the productive uses of sludge can improve the sustainability of conventional manufacturing practices. The results are intended to help inform and guide decisions about sludge handling for existing wastewater treatment plants and those that are still in the planning phase in cities around the world. Although additional factors must be considered when selecting a sludge treatment and end-use scheme, this study highlights how a systems approach to planning can contribute significantly to improving overall environmental sustainability.     

Web prefetching through efficient prediction by partial matching

In this work we propose a prediction by partial matching technique to anticipate and prefetch web pages and files accessed via browsers. The goal is to reduce the delays necessary to load the web pages and files visited by the users. Since the number of visited web pages can be high, tree-based and table-based implementations can be inefficient from the representation point of view. Therefore, we present an efficient way to implement the prediction by partial matching as simple searches in the observation sequence. Thus, we can use high number of states in long web page access histories and higher order Markov chains at low complexity. The time-evaluations show that the proposed PPM implementation is significantly more efficient than previous implementations. We have enhanced the predictor with a confidence mechanism, implemented as saturating counters, which classifies dynamically web pages as predictable or unpredictable. Predictions are generated selectively only from web pages classified as predictable, improving thus the accuracy. The experiments show that the prediction by partial matching of order 4 with a history of 500 web pages is the optimal.     

Oil and development planning : Implications for Nigeria

The development of the oil industry in Nigeria has occurred very rapidly since 1960 — to the point where petroleum revenues now account for over 40% of GDP and 85% of government revenues. Oil revenues obviously provide a strong stimulus to development but a bureaucratic structure largely inherited from colonial days has had difficulties in coping with changed circumstances. This has led to radical steps to reform the structure of the Nigerian civil service.     

Exploiting selective instruction reuse and value prediction in a superscalar architecture

In our previously published research we discovered some very difficult to predict branches, called unbiased branches. Since the overall performance of modern processors is seriously affected by misprediction recovery, especially these difficult branches represent a source of important performance penalties. Our statistics show that about 28% of branches are dependent on critical Load instructions. Moreover, 5.61% of branches are unbiased and depend on critical Loads, too. In the same way, about 21% of branches depend on MUL/DIV instructions whereas 3.76% are unbiased and depend on MUL/DIV instructions. These dependences involve high-penalty mispredictions becoming serious performance obstacles and causing significant performance degradation in executing instructions from wrong paths. Therefore, the negative impact of (unbiased) branches over global performance should be seriously attenuated by anticipating the results of long-latency instructions, including critical Loads. On the other hand, hiding instructions’ long latencies in a pipelined superscalar processor represents an important challenge itself. We developed a superscalar architecture that selectively anticipates the values produced by high-latency instructions. In this work we are focusing on multiply, division and loads with miss in L1 data cache, implementing a dynamic instruction reuse scheme for the MUL/DIV instructions and a simple last value predictor for the critical Load instructions. Our improved superscalar architecture achieves an average IPC speedup of 3.5% on the integer SPEC 2000 benchmarks, of 23.6% on the floating-point benchmarks, and an improvement in energy-delay product (EDP) of 6.2% and 34.5%, respectively. We also quantified the impact of our developed selective instruction reuse and value prediction techniques in a simultaneous multithreaded architecture (SMT) that implies per thread reuse buffers and load value prediction tables. Our simulation results showed that the best improvements on the SPEC integer applications have been obtained with 2 threads: an IPC speedup of 5.95% and an EDP gain of 10.44%. Although, on the SPEC floating-point programs, we obtained the highest improvements with the enhanced superscalar architecture, the SMT with 3 threads also provides an important IPC speedup of 16.51% and an EDP gain of 25.94%.     

Charting prices in a socialist economy

A centrally planned economy based on socialist principles still has to cope with increasing building costs and prices. Here an economist at EGSZI, the Hungarian Institute for Building Economics and Organisation, explains the data collection system which produces building price indices based on unit labour costs, a process which has marked similarities with price-monitoring systems elsewhere.

This article is an abridged version of a detailed contribution to the work of CIB working group W55 on building economics.     

Adverse Impact of Diet-Induced Hypercholesterolemia on Cardiovascular Tissue Homeostasis in a Rabbit Model: Time-Dependent Changes in Cardiac Parameters

The present study evaluates a hypothesis that diet-related hypercholesterolemia increases oxidative stress-related burden to cardiovascular tissue, resulting in progressively increased mortality, along with deterioration of electrophysiological and enzymatic function in rabbit myocardium. New Zealand white rabbits were divided into four groups, defined as follows: GROUP I, cholesterol-free rabbit chow for 12 weeks; GROUP II, cholesterol-free chow, 40 weeks; GROUP III, chow supplemented with 2% cholesterol, 12 weeks; GROUP IV, chow supplemented with 2% cholesterol, 40 weeks. At the 12 and 40 weeks time points, animals in each of the aforementioned cohorts were subjected to echocardiographic measurements, followed by sacrifice. Significant deterioration in major outcome variables measured in the present study were observed only in animals maintained for 40 weeks on 2% cholesterol-supplemented chow, with much lesser adverse effects noted in animals fed high cholesterol diets for only 12 weeks. It was observed that rabbits receiving high cholesterol diets for 40 weeks exhibited significantly increased mortality, worsened ejection fraction and general deterioration of cardiac functions, along with increased atherosclerotic plaque formation and infarct size. Additionally, myocardium of GROUP IV animals was observed to contain lower levels of heme oxygenase-1 (HO-1) and cytochrome c oxidase III (COX III) protein relative to the controls.     

Can combining economizers with improved filtration save energy and protect equipment in data centers?

Economizer use in data centers is an energy efficiency strategy that could significantly limit electricity demand in this rapidly growing economic sector. Widespread economizer implementation, however, has been hindered by potential reliability concerns associated with exposing information technology equipment to particulate matter of outdoor origin. This study explores the feasibility of using economizers in data centers to save energy while controlling particle concentrations with high-quality air filtration. Physical and chemical properties of indoor and outdoor particles were analyzed at an operating northern California data center equipped with an economizer under varying levels of air filtration efficiency. Results show that when improved filtration is used in combination with an economizer, the indoor/outdoor concentration ratios for most measured particle types were similar to levels when using conventional filtration without economizers. An energy analysis of the data center reveals that, even during the summer months, chiller savings from economizer use greatly outweigh any increase in fan power associated with improved filtration. These findings indicate that economizer use combined with improved filtration could reduce data center energy demand while providing a level of protection from particles of outdoor origin similar to that observed with conventional design.     

Cognitive and affective aspects of thigmotaxis strategy in humans.

The present article describes the cognitive and emotional aspects of human thigmotaxis (a wall-following spatial strategy) during exploration of virtual and physical spaces. The authors assessed 106 participants with spatial and nonspatial performance-based learning-memory tasks and with fear and anxiety questionnaires. The results demonstrate that thigmotaxis plays a distinct role at different phases of spatial learning. The 1st phase shows a positive correlation between thigmotaxis and general phobic avoidance, whereas there is no association between thigmotaxis and general phobic avoidance during later phases of learning. Furthermore, participants who underperformed in working memory tests and in a spatial construction task exhibited greater thigmotaxis and a higher potential for fear response. Findings are interpreted in the framework of interactions among emotion-, action-, and knowledge-controlled spatial learning theories. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Mechanism of seed lectin tolerance by a major insect storage pest of Phaseolus vulgaris,acanthoscelides obtectus

The bean weevil Acanthoscelides obtectus (Say) is a major storage peat of Phaseolus vulgaris L (kidney, haricot bean). The seeds of P vulgaris contain high levels (up to 30 mg g^?1 DM) of lectin, which has been shown to be toxic towards larvae of the related bruchid storage pest of cowpea, Callosobruchus maculatus F. The lack of toxicity of this lectin towards larvae of A obtectus is demonstrated. Unlike the strong binding of lectin to the midgut epithelium observed in larvae of C maculatus, no binding of lectin molecules was found to occur in the gut epithelial cells of A obtectus. This observation provides the basis for a hypothesis explaining the lack of toxicity of P vulgaris lectin towards A obtectus. Assays of proteolytic activity in gut homogenates of C maculatus and A obtectus suggest that the difference in susceptibility of the two insects towards the toxic effects of the lectin is not due to differential inactivation by proteolysis. Besides its effects on larval development, the lectin has a further effect at pupation, causing disruption of adipose tissues in C maculatus but having no effect on A obtectus.