Empowering statistical methods for cellular and molecular biologists.

We provide guidelines for using statistical methods to analyze the types of experiments reported in cellular and molecular biology journals such as Molecular Biology of the Cell. Our aim is to help experimentalists use these methods skillfully, avoid mistakes, and extract the maximum amount of information from their laboratory work. We focus on comparing the average values of control and experimental samples. A Supplemental Tutorial provides examples of how to analyze experimental data using R software

The Obligation for Biologists to Commit to Political Advocacy

I explain here why all scientists should feel obligated to do their part to support the community by advocating for the benefits of government investments in scientific research and training

The role of finance in the decision-making of higher education applicants and students: findings from the Going into Higher Education Research study (BIS Research Paper No.9)

"This report summarises findings from the Going into HE research project. From the outset, the aim has been to develop a clear understanding of: the role and importance of finance in the decision-making process of English-domiciled people from different groups who are considering entering full-time Higher Education (HE) in the UK; and the impact of the support arrangements on their decisions. When taken alongside quantitative studies on HE participation and student finances, also published by DIUS/BIS, the qualitative research presented here contributes to an overall assessment of current student finance arrangements and should help to inform future developments." - exec. summary

Modeling, Design, Packaging and Experimental Analysis of Liquid-Phase Shear-Horizontal Surface Acoustic Wave

Recent advances in microbiology, computational capabilities, and microelectromechanical-system fabrication techniques permit modeling, design, and fabrication of low-cost, miniature, sensitive and selective liquid-phase sensors and labon- a-chip systems. Such devices are expected to replace expensive, time-consuming, and bulky laboratory-based testing equipment. Potential applications for devices include: fluid characterization for material science and industry; chemical analysis in medicine and pharmacology; study of biological processes; food analysis; chemical kinetics analysis; and environmental monitoring. When combined with liquid-phase packaging, sensors based on surface-acoustic-wave (SAW) technology are considered strong candidates. For this reason such devices are focused on in this work; emphasis placed on device modeling and packaging for liquid-phase operation. Regarding modeling, topics considered include mode excitation efficiency of transducers; mode sensitivity based on guiding structure materials/geometries; and use of new piezoelectric materials. On packaging, topics considered include package interfacing with SAW devices, and minimization of packaging effects on device performance. In this work novel numerical models are theoretically developed and implemented to study propagation and transduction characteristics of sensor designs using wave/constitutive equations, Green’s functions, and boundary/finite element methods. Using developed simulation tools that consider finite-thickness of all device electrodes, transduction efficiency for SAW transducers with neighboring uniform or periodic guiding electrodes is reported for the first time. Results indicate finite electrode thickness strongly affects efficiency. Using dense electrodes, efficiency is shown to approach 92% and 100% for uniform and periodic electrode guiding, respectively; yielding improved sensor detection limits. A numerical sensitivity analysis is presented targeting viscosity using uniform-electrode and shear-horizontal mode configurations on potassium-niobate, langasite, and quartz substrates. Optimum configurations are determined yielding maximum sensitivity. Results show mode propagation-loss and sensitivity to viscosity are correlated by a factor independent of substrate material. The analysis is useful for designing devices meeting sensitivity and signal level requirements. A novel, rapid and precise microfluidic chamber alignment/bonding method was developed for SAW platforms. The package is shown to have little effect on device performance and permits simple macrofluidic interfacing. Lastly, prototypes were designed, fabricated, and tested for viscosity and biosensor applications; results show ability to detect as low as 1% glycerol in water and surface-bound DNA crosslinking

Design and Construction of a Corrugated Metal Roof for Rebuilding Together in San Jose, CA

This paper will examine the design development, estimation, and construction of a corrugated metal roof for Rebuilding Together, a nonprofit in San Jose, CA. The contents herein discuss the multitude of steps required to see a construction project from its inception to its completion. Beginning with its schematic design, the project went through many revisions as the conceptual design was modeled in a 3D modeling program called ARCHICAD. Once modeling was complete, the material required to completed the project was taken off using four different material sets – estimates were then complied for each of these material sets and sent to Rebuilding Together for review. Once given direction on which materials to move forward with, the pitched rafters were structurally sized using dead load calculations and live load assumptions, ensuring the structural integrity and lifespan of the project. This paper also examines the step-by-step processes used to physically erect the roof structure atop of the existing CMU block wall, including each of the tools used. Over the duration of both the design and construction phases many obstacles were overcome, and overall the entire project served as an extremely beneficial platform to utilize all the skills acquired throughout the Cal Poly construction management curriculum

3D Human Pose Estimation from Deep Multi-View 2D Pose

Human pose estimation - the process of recognizing a human's limb positions and orientations in a video - has many important applications including surveillance, diagnosis of movement disorders, and computer animation. While deep learning has lead to great advances in 2D and 3D pose estimation from single video sources, the problem of estimating 3D human pose from multiple video sensors with overlapping fields of view has received less attention. When the application allows use of multiple cameras, 3D human pose estimates may be greatly improved through fusion of multi-view pose estimates and observation of limbs that are fully or partially occluded in some views. Past approaches to multi-view 3D pose estimation have used probabilistic graphical models to reason over constraints, including per-image pose estimates, temporal smoothness, and limb length. In this paper, we present a pipeline for multi-view 3D pose estimation of multiple individuals which combines a state-of-art 2D pose detector with a factor graph of 3D limb constraints optimized with belief propagation. We evaluate our results on the TUM-Campus and Shelf datasets for multi-person 3D pose estimation and show that our system significantly out-performs the previous state-of-the-art with a simpler model of limb dependency