The Analysis of the Effects of Smoke and Water Vapor on Insect Pheromone Communication and Physical Condition: An Investigation of the Causes of Colony Collapse Disorder

Summary
Since the outbreak of honey bee (Apis mellifera L.) disappearance in the phenomenon known as colony collapse disorder (CCD) in 2006, investigations dedicated to finding the causes of CCD have suggested possible factors; however, a singular cause has not yet been identified. This project aims at identifying how external factors in the environment, such as water vapor and smoke, can affect the social behavior and physical condition of honey bees. It was hypothesized that water vapor could block insect pheromone communication and that smoke could accumulate on the antennae of insects, interrupting pheromone communication. House crickets (Acheta domesticus) were used to test water vapor’s effect on pheromone communication because they communicate with pheromones like honey bees. Crickets were exposed to vinegar, mimicking the alarm pheromone, to confirm a social response. Next, we tested water vapor’s ability to block pheromone communication. To test the effect of smoke’s presence in the environment, red harvester ants (Pogonomyrmex barbatus) were used, due to their anatomical similarity to bees. The red harvester ant experiments measured the degree to which smoke particles accumulated on their body parts. The results showed that smoke particles did accumulate during exposure to smoke. This study provides evidence that external factors in the environment of insects may act as pheromone blocking agents and thus obstruct the insects’ ability to communicate through pheromone messages. This conclusion may provide an explanation for the observations in CCD such as the honey bee disappearance and diminishing health.

Orvill Delatorre and Ann Lambert

Development of Two New Efficient Means of Wastewater Treatment

Summary
Wastewater accumulation is a daunting issue. This global concern stimulates scientists to search for more effective ways of treating wastewater and preserving natural resources. In this study, we have augmented current treatment efficiencies and general effectiveness by creating two new methods. Using hollow fiber membrane (HFM) based liquid-liquid extraction technology in water treatment, we have demonstrated that this technique is more efficient than the current available methods at extracting organic components into the organic phase inside the HFM. Meanwhile, we have used polymeric resins to absorb both neutral and charged organic components in wastewater. Both newly developed methods have the potential to be industrialized for combating the human-caused wastewater contamination issue with increased vigor and efficiency.

Gilbert W. Bao, Albert M. Bao, Xiaojing Liu and Youxin Li

Click here for PDF file: February2014

Selenium’s Gift to Hometown Health​

Selenium’s Gift to Hometown Health​

QIZHE WEN

My hometown Enshi in Hubei holds the globe’s only verified independent selenium deposit—local rocks have up to 66.66mg/kg of this mineral, 11 times higher than comparable formations.

A nationwide survey shows 53% of Chinese students have myopia, but Enshi’s juvenile rate is far lower. Selenium shields lens proteins from oxidation, boosts ocular microcirculation, and slows eye axis growth. Enshi’s cancer incidence is merely 0.00468%, well below the national average.

“This is a blessing from selenium-rich earth,” my mother says proudly.​

 

我的家乡在湖北省恩施土家族苗族自治州,拥有全球唯一探明的独立硒矿床。家乡的岩石硒含量最高达66.66mg/kg,是同类岩石的 11 倍。

恩施州的调研数据显示:全国中小学生近视率高达53%,恩施州的中小学近视率远低于这个数字。因为硒能保护晶状体蛋白质不被氧化,还能改善眼部微循环,减缓眼轴增长。家乡癌症发病率仅4.68/10万,远低于全国平均水平。

妈妈说这是“硒土养出来的福气”。

Apache Hive-Based Big Data Analysis of HealthCare

The Electronic Health Record (EHR) stores valuable information on
patient records in digital form. The amount of data in the EHR is increasing
due to government mandates and technological innovation. Patient data
are recorded using sensors and medical reports. Given huge amounts of
heterogeneous data in the EHR, there is a need for effective methods to
store and analyze these data for meaningful interpretations. This study
focuses on various analysis techniques for analyzing and retrieving
required information from big data in the EHR. Many Hive queries are
conducted in the Hadoop distributed file system to extract valuable
information. The study also proposes and demonstrates the use of Tableau
as a data analysis technique for effectively deducing valuable information
in the form of visual graphs.

Zhenlin Kan, Xinru Cheng, Seung Hyun Kim,Yuting Jin

Pancreatic Adenocarcinoma: An Analysis of Drug Therapy Options through Interaction Maps and Graph Theory

Summary
Pancreatic cancer is the fourth leading cause of cancer-related deaths in humans (ASCO 2012). Pancreatic cancer cells exhibit a different gene expression profile from normal cells, with approximately 122 over-expressed proteins. A novel method was created to find the most important areas for future drug development based on influential disease-causing proteins in pancreatic cancer that currently lack drug treatments.

Anvita Gupta, Sejal Aggarwal, Sangeeta Agrawal

Click here for PDF file: February2014(1)