Abstract:
A theoretical model that computes both for the gradient and scattering forces being exerted on a nonresonant nonlinear (electro-optic Kerr effect) rigid nanosphere by a strongly focused continuous-wave laser beam is presented. The incident wavelength of the laser beam is assumed to be appreciably larger than the nanosphere radius a. Optical forces arising from the aforesaid interaction can be derived by a two-component approach which determines individually the gradient force and scattering force. The behavior of the trapping (gradient) force is plotted against several experimental parameters, e.g., incident beam power, axial distance, sphere radius, wavelength, and refractive index difference between the surrounding liquid and the nanosphere. Results have shown that the Kerr effect on the nanosphere can produce a maximum of tenfold increase in the trapping force.

Abstract:
We evolve topology of a network of N fully-coupled nodes that interact according to repulsion-attractiondynamics within a confining wall. The dynamics portrays each node’s tendency to keep distance from itscompetitors while maintaining a lighter tendency to resist relative isolation. Each node is characterizedby two parameters: an intrinsic mobility μ and a preferred neighboring distance ρ. Onset of clustering isfound to occur at a critical variance in mobility, σμ2 = 1, and in preferred neighboring distance, σμ2 = 10.This result implies that small-world behavior manifested in clustering can be triggered by the diversity ofnode population.

Abstract:
We derive a general formulation of the self-organized branching process by considering sandpile dynamics in an evolving population characterized by "birth" (excitation) and "death" (de-excitation) of active sites ($z=1$). New active sites are born in empty sites ($z=0$) with a probability of $\eta$, whereas active sites die, thus becoming empty, with a probability $\lambda$. Subsequently, when an active site becomes unstable ($z=2$), it topples by transferring two grains to two randomly chosen sites with probability $\alpha$ or, by transferring only one grain to a randomly selected site (while retaining the other) with probability $\beta=1+\frac{\lambda}{\eta}-2\alpha$, thus remaining active after toppling. We show that when sandpile dynamics occurs in an evolving population, self-organized criticality, characterized by a power-law avalanche size distribution with exponent $\tau_s=3/2$ and power-law avalanche duration distribution with exponent $\tau_T=2$ at very high dimension $n >> 1$, is achieved even in the presence of dissipation ($\epsilon = 1-\alpha - \beta > 0$), contrary to previous claims.

Abstract:
We derive spectral maps of absorption sites in integrated circuits (ICs) by varying the wavelength of the optical probe within the near-IR range. This method has allowed us to improve the contrast of the acquired images by revealing structures that have a different optical absorption from neighboring sites. A false color composite image from those acquired at different wavelengths is generated from which the response of each semiconductor structure can be deduced. With the aid of the spectral maps, nonuniform absorption was also observed in a semiconductor structure located near an electrical overstress defect. This method may prove important in failure analysis of ICs by uncovering areas exhibiting anomalous absorption, which could improve localization of defective edifices in the semiconductor parts of the microchip

Abstract:
We present a comprehensive survey of the scientific publications by the Faculty (Professors, Associate Professors, and Assistant Professors) of the College of Science, UP Diliman. The initial listings are obtained from UNCOVER and MEDLINE databases which are freely available in the Internet. Our search covers articles that have been published between September 1988 and May 1998. Books and conference proceedings are excluded. Performance analysis is done along academic ranks and units. Final tally considers only journals covered by the Science Citation Index. Based on our tally, no academic unit has achieved the rule of thumb for research excellence which is at least one internationally-abstracted publication per faculty per year.

Abstract:
Neurocysticercosis (NCC) is a disease of the central nervous system that is considered a public health problem in endemic areas. The definitive diagnosis of this disease is made using a combination of tools that include imaging of the brain and immunodiagnostic tests, but the facilities for performing them are usually not available in endemic areas. The immunodiagnosis of NCC is a useful tool that can provide important information on whether a patient is infected or not, but it presents many drawbacks as not all infected patients can be detected. These tests rely on purified or semipurified antigens that are sometimes difficult to prepare. Recent efforts have focused on the production of recombinant or synthetic antigens for the immunodiagnosis of NCC and interesting studies propose the use of new elements as nanobodies for diagnostic purposes. However, an immunodiagnostic test that can be considered as “gold standard” has not been developed so far. The complex nature of cysticercotic disease and the simplicity of common immunological assumptions involved explain the low scores and reproducibility of immunotests in the diagnosis of NCC. Here, the most important efforts for developing an immunodiagnostic test of NCC are listed and discussed. A more punctilious strategy based on the design of panels of confirmed positive and negative samples, the use of blind tests, and a worldwide effort is proposed in order to develop an immunodiagnostic test that can provide comparable results. The identification of a set of specific and representative antigens of T. solium and a thorough compilation of the many forms of antibody response of humans to the many forms of T. solium disease are also stressed as necessary.

Abstract:
Taenia crassiceps cysticerci (cysts) reproduce by budding. The cysts' production of buds was measured in vitro to explore parasite and environmental-related factors involved in the extreme individual variation in parasite loads of inbred mice. Cysts were placed in in vitro culture for 10 days at initial parasite densities of 1, 5, 10 cysts/well in 1 ml of RPMI Medium 1640 without serum. Results showed that there is considerable intrinsic initial variation among inoculated cysts in their production of buds and that increasing parasite density (crowding) stimulates the overall production of buds and recruit into budding most of the cysts. Identical cultures were then subjected to various treatments such as heating and exposure to peroxide to induce stress, or to 17ß-estradiol, insulin, glucose, or insulin

Abstract:
The allelomimesis clustering model is based on only two parameters a and p, which represent the probability of nearest-neighbor copying and the fraction of unresponsive agents, respectively. The model results into the formation of clusters of agents, the sizes of which obey a distribution that is determined by the values of a and p. Several experimental data are fitted by tuning the two parameters. In particular, the significance of the value of a that corresponds to an experimental data is discussed and justified according to ecological context. Recommendations for possible extensions of the model are also enumerated.

Abstract:
IntroducciónEn 1954, José Antonio Maravall afirmaba categóricamente que :Desde los primeros momentos hasta el final de la larga lucha sostenida por los reinos cristianos contra el se orío de los árabes en la Península, durante cerca de ocho siglos, la palabra Espa a aparece ligada estrechamente, [a la idea de Reconquista]. En este aspecto, Espa a designa en nuestra Edad Media el ámbito de una Reconquista y el objeto o término último de la misma. No es, pues, posible entender lo que Espa a sig...

Abstract:
The allelomimesis clustering model is based on only two parameters: a local parameter $\alpha$ that represents the probability of nearest-neighbor copying and a global parameter $p$ that represents the fraction of unresponsive agents. The model results into the formation of clusters of agents, the sizes of which obey a distribution that is determined by the values of $\alpha$ and $p$. Several experimental data are fitted by tuning the two parameters. In particular, the significance of the value of $\alpha$ that corresponds to an experimental data is discussed and is justified according to behavioral context. Recommendations for possible extensions of the model are also enumerated.