Security for PDAs

Personal Digital Assistants (PDAs) are one of the most popular computing tools nowadays. Compared with desktop and notebook computers, PDAs are smaller, lighter and can be carried everywhere. However, PDAs have several limitations. They use smaller microprocessors which are much slower than their PC counterparts. Their lack of computational power makes it very difficult to perform some heavy computations, such as generating RSA keys, which needs large prime numbers. Thus, it is useful to have a combination of a PC and a PDA, where the PC performs heavy computations to assist the PDA. This scenario is feasible as long as we assure that the PC will not learn the secret of the PDA. We propose two schemes, which involve some server-aided computations, where the server will not learn the PDAs secret from the interaction. This thesis also investigates the security of PDAs when they are used to perform some cryptographic applications. Due to the limited computational power of PDAs, such computations require some amount of time (and battery life). We show that by observing one of the parameters, we can reduce the hard problem being predictable. We also propose how to securely generate these kinds of computations in PDAs by using some different techniques, so that it will not reveal any additional information to a passive eavesdropper. In addition, along with their popularity, handheld devices are starting to become the target for attackers, who are mainly interested in gaining the data stored in handheld devices. In this thesis, we review the security threats to handheld computers and propose two possible solutions. The first solution is to use a desktop computer to act as a bastion host to protect the handheld computer. The second proposed solution is to build a personal firewall for handheld computers. Keywords

Substrate Stiffness Coupling TGF-β1 Modulates Migration and Traction Force of MDA-MB-231 Human Breast Cancer Cells in Vitro

Cancer cell migration is the hallmark of tumor metastasis; however, the mechanisms of cancer cell migration have not been fully understood. Considering the fact that biophysical and biochemical properties of the tumor microenvironment are altered during tumor progression, it is instinctive to think about whether the changed microenvironment can regulate cancer cell migration. Herein, we cultured human breast cancer cells (MDA-MB-231) on polyacrylamide gel substrates with different stiffnesses (1, 5, 10, and 20 kPa) with and without transforming growth factor-β1 (TGF-β1, 2 ng/mL) treatment to evaluate the effects of the altered tumor microenvironment on cancer cell migration in addition to the response of traction force generation and cytoskeleton remodeling. The results demonstrated that MDA-MB-231 migration increased with increasing substrate stiffness and was further enhanced with TGF-β1 addition. Traction forces and cytoskeleton remodeling were also found to be enhanced in response to TGF-β1 treatment. Furthermore, inhibiting myosin IIA-mediated contraction by blebbistatin decreased TGF-β1-enhanced traction force but increased TGF-β1-enhanced migration. These results imply that both biophysical (like stiffness) and biochemical (like TGF-β1) factors could orthogonally regulate cancer cell migration

Electrodeformation-Based Biomechanical Chip for Quantifying Global Viscoelasticity of Cancer Cells Regulated by Cell Cycle

Mechanical phenotypes of cells are found to hold vital clues to reveal cellular functions and behaviors, which not only has great physiological significance but also is crucial for disease diagnosis. To this end, we developed a set of electrodeformation-based biomechanical microchip assays to quantify mechanical phenotypes on the single-cell level. By investigating the spatiotemporal dynamics of cancer cells driven by dielectrophoresis forces, we captured the key global viscoelastic indexes including cellular elasticity, viscosity, and transition time that was defined as the ratio of the transient viscosity and elasticity, simultaneously, and thus explored their intrinsic correlation with cell cycle progression. Our results showed that both global elasticity and viscosity have a significant periodic variation with cell cycle progression, but the transition time remained unchanged in the process, indicating that it might be an intrinsic property of cancer cells that is independent of the cell cycle and the type of cell in the experiments. Further, we investigated the molecular mechanism regulating cellular viscoelastic phenotypes on the biomechanical chips through intracellular cytoskeletal perturbation assays. These findings, together with the electrodeformation-based microchip technique, not only reveal the relation between mechanical phenotypes of cancer cells and cell cycle progression but also provide a platform for implementing multi-index mechanical phenotype assays associated with cancer cell cycles in the clinic

Electrodeformation-Based Biomechanical Chip for Quantifying Global Viscoelasticity of Cancer Cells Regulated by Cell Cycle

Mechanical phenotypes of cells are found to hold vital clues to reveal cellular functions and behaviors, which not only has great physiological significance but also is crucial for disease diagnosis. To this end, we developed a set of electrodeformation-based biomechanical microchip assays to quantify mechanical phenotypes on the single-cell level. By investigating the spatiotemporal dynamics of cancer cells driven by dielectrophoresis forces, we captured the key global viscoelastic indexes including cellular elasticity, viscosity, and transition time that was defined as the ratio of the transient viscosity and elasticity, simultaneously, and thus explored their intrinsic correlation with cell cycle progression. Our results showed that both global elasticity and viscosity have a significant periodic variation with cell cycle progression, but the transition time remained unchanged in the process, indicating that it might be an intrinsic property of cancer cells that is independent of the cell cycle and the type of cell in the experiments. Further, we investigated the molecular mechanism regulating cellular viscoelastic phenotypes on the biomechanical chips through intracellular cytoskeletal perturbation assays. These findings, together with the electrodeformation-based microchip technique, not only reveal the relation between mechanical phenotypes of cancer cells and cell cycle progression but also provide a platform for implementing multi-index mechanical phenotype assays associated with cancer cell cycles in the clinic

Electrodeformation-Based Biomechanical Chip for Quantifying Global Viscoelasticity of Cancer Cells Regulated by Cell Cycle

Mechanical phenotypes of cells are found to hold vital clues to reveal cellular functions and behaviors, which not only has great physiological significance but also is crucial for disease diagnosis. To this end, we developed a set of electrodeformation-based biomechanical microchip assays to quantify mechanical phenotypes on the single-cell level. By investigating the spatiotemporal dynamics of cancer cells driven by dielectrophoresis forces, we captured the key global viscoelastic indexes including cellular elasticity, viscosity, and transition time that was defined as the ratio of the transient viscosity and elasticity, simultaneously, and thus explored their intrinsic correlation with cell cycle progression. Our results showed that both global elasticity and viscosity have a significant periodic variation with cell cycle progression, but the transition time remained unchanged in the process, indicating that it might be an intrinsic property of cancer cells that is independent of the cell cycle and the type of cell in the experiments. Further, we investigated the molecular mechanism regulating cellular viscoelastic phenotypes on the biomechanical chips through intracellular cytoskeletal perturbation assays. These findings, together with the electrodeformation-based microchip technique, not only reveal the relation between mechanical phenotypes of cancer cells and cell cycle progression but also provide a platform for implementing multi-index mechanical phenotype assays associated with cancer cell cycles in the clinic

Single-Phase Organic–Inorganic Hybrid Nanoparticles for Warm-White Lighting

White light-emitting diodes (W-LEDs) are an important solid-state lighting source, thanks to their superior properties. Here, a single-phase phosphor composed of organic–inorganic hybrid nanoparticles having a potential application in W-LEDs is successfully prepared. Green facile hydrothermal synthesis is used to obtain the phosphor integrated LaF3:Pr3+ with inexpensive sodium dodecyl benzene sulfonate (SDBS). It emits bright white light excited by ultraviolet (UV, λ = 365 nm) light. Moreover, its color coordinates and temperature are (0.365, 0.412) and 4606 K, respectively, according to the Commission Internationale de L’Eclairage (CIE). Meanwhile, phosphor shows good thermal stability and long photoluminescence decay time. Therefore, it would be a potential material for warm-white lighting

Improved-Throughput Traction Microscopy Based on Fluorescence Micropattern for Manual Microscopy

<div><p>Traction force microscopy (TFM) is a quantitative technique for measuring cellular traction force, which is important in understanding cellular mechanotransduction processes. Traditional TFM has a significant limitation in that it has a low measurement throughput, commonly one per TFM dish, due to a lack of cell position information. To obtain enough cellular traction force data, an onerous workload is required including numerous TFM dish preparations and heavy cell-seeding activities, creating further difficulty in achieving identical experimental conditions among batches. In this paper, we present an improved-throughput TFM method using the well-developed microcontact printing technique and chemical modifications of linking microbeads to the gel surface to address these limitations. Chemically linking the microbeads to the gel surface has no significant influence on cell proliferation, morphology, cytoskeleton, and adhesion. Multiple pairs of force loaded and null force fluorescence images can be easily acquired by means of manual microscope with the aid of a fluorescence micropattern made by microcontact printing. Furthermore, keeping the micropattern separate from cells by using gels effectively eliminates the potential negative effect of the micropattern on the cells. This novel design greatly improves the analysis throughput of traditional TFM from one to at least twenty cells per petri dish without losing unique advantages, including a high spatial resolution of traction measurements. This newly developed method will boost the investigation of cell-matrix mechanical interactions.</p></div

Schematic diagram showing the fabrication of the improved-throughput TFM device.

<p><b>A)</b> The procedure of microcontact printing on the coverslip and the structure of the new designed device. <b>B)</b> Fluorescence image of the micropattern on the cover slip before seeding cells. <b>C)</b> The micropattern observed through the culture medium after seeding cells. <b>D)</b> The microbeads on the surface of the PAA gels observed by the fluorescence microscope. <b>E)</b> The image of microbeads inside gels.</p

Immunostaining of cells on substrate of different topography.

<p><b>A)</b> Representative immunofluorescence confocal microscopic images of the F-actin (red) of cells on substrate with beads inside. <b>B)</b> Representative immunofluorescence confocal microscopic images of the F-actin (red) of cells on substrate with beads on surface. <b>C)</b> Statistical quantification of the mean fluorescence intensity of actin within the HeLa cells on substrate with different positioned beads (n = 28 for beads inside, n = 34 for beads on surface). <b>D)</b> Representative immunofluorescence confocal microscopic images of the vinculin (green) with beads inside. <b>E)</b> Representative immunofluorescence confocal microscopic images of the vinculin (green) with beads on surface. <b>F)</b> Comparison of total vinculin area on PAA gels with beads inside and beads on the gel surface (n = 22 for the former, n = 20 for the latter). Bars represent mean ± standard deviation. Two-tailed t-test was performed for statistical analysis in both <b>C)</b> and <b>F)</b>.</p

Multiple pairs of NF and FL fluorescence images.

<p><b>A)</b> Many FL images had been captured before cell detachment while the NF image of only the last cell was captured after detaching all cells, as other cells could not be found in the traditional TFM. <b>B)</b> Utilizing coordinate system, multiple pairs of NF and FL images were captured in sequence by going back to the original position in the improved-throughput TFM. The circle stands for the PAA substrate. The small rectangle in the circle represents the view field using the 40× objective.</p