Miracle-dz/UniFAR-FTUs huggingface dataset:
Estimation of tropical cyclone's intensity using TRMM/TMI brightness temperature data

A new method for the estimation of tropical cyclone (TC) intensity utilizing 10, 19, 21, 37 and 85 GHz channel TRMM Microwave Imager (TMI) data from 1999 to 2003 is developed. As a first step, we investigated. the relationship between the TRMM/TMI brightness temperature (TB) parameters, which are computed in concentric circles, or annuli of different radius in different TMI frequencies, and the TC maximum wind speed from the TC best track data, and/or observed by microwave scatterometers (QuikSCAT and SeaWinds). In contrast to the previous studies, we found that the parameters with lower frequency channels of 10 or 19 GHz give higher correlation. This would be because that TBs of lower frequencies, that have less sensitivity to rain than those of higher frequencies, reflect the speed of sea surface wind more directly in the TC case. The highest correlation coefficient obtained is 0.7, and the root mean square error (RMSE) of the regression between a parameter of highest correlation case is found to be 6 ms -1 . We developed a TC intensity estimation method, based on the multiple regression equations using a few parameters. After choosing 3 parameters out of all possible combinations, we computed the regression coefficients and chose 10 regression equations, sorted by the lower RMSEs. Finally, we evaluated our estimation method using independent verification data during 2004. The RMSEs are found to be about 8 ms -1 in the entire basin for the best track data, and about 6 ms -1 for the best track data in the northwestern Pacific. Whereas, for the microwave scatterometer data in all basins RMSE is found to be about 7 ms -1 . We also found that the temporal TC intensity change in our method shows good agreement with the TC best track data.
Psychometric Evaluation of Turkish Version of the Cultural Competence Assessment Tool: CCA-EUnurse Project

It is important to understand nurses’ cultural competency all across the world, as globalization and international migration are increasing day by day. The evaluation of the cultural competence of nurses is necessary to provide better quality and adequate health services to individuals, and to improve patient satisfaction and health outcomes. The aim of this study is to evaluate the validity and reliability of the Turkish version of the “Cultural Competence Assessment Tool”. The methodological study was performed to assess instrument adaptation and validity and reliability testing. This study was conducted in a university hospital in western region of Turkey. The study sample consisted of 410 nurses who worked in this hospital. Validity was tested using content validity index, Kendall’s W test and exploratory and confirmatory factor analyses. Reliability was tested using item-total and interitem correlations, Cronbach’s α coefficient of reliability and test–retest analysis. The results of this research demonstrated that the Cultural Competence Assessment Tool showed a good construct validity, internal reliability and test–retest reliability. Confirmatory factor analysis indicated that a construct with four factors showed an acceptable model fit. In conclusion, this study concluded that the Turkish version of the Cultural Competence Assessment Tool is a valid and reliable measurement tool.
CS348 FS2008 - Assignment 2 Minimizing the generalized Rastrigin function with Adaptive Mutation Step Control

Synopsis The goal of this assignment is for you to become familiarized with I implementing an Evolutionary Algorithm (EA) with adaptive mutation step control to solve a classic multi-dimensional function optimization problem, II conducting scientific experiments involving EAs, III statistically analyzing experimental results from stochastic algorithms, and IV writing proper technical reports. The deliverables of this assignment are your EA implementation with separate user manual in . ZIP or tar ball format and an accompanying report in PDF or Word format. The user manual should specify how to compile, execute and configure your EA. This is an individual assignment. You must implement your EA from scratch in a procedural programming language of your choice. You are free to use libraries/toolboxes/etc, except EA specific ones such as Matlab’s EA toolbox, C++/Java EA libraries, etc. Your report must be written and typeset in a professional manner (LTEX is recommended but not required). The deadline for submitting via Blackboard your implementation with user manual to be graded is Saturday 4 October 2008, and report to be graded is Sunday 12 October 2008.
PIP2-Effector Protein MPRIP Regulates RNA Polymerase II Condensation and Transcription

The specific post-translational modifications of the C-terminal domain (CTD) of the Rpb1 subunit of RNA polymerase II (RNAPII) correlate with different stages of transcription. The phosphorylation of the Ser5 residues of this domain associates with the initiation condensates, which are formed through liquid-liquid phase separation (LLPS). The subsequent Tyr1 phosphorylation of the CTD peaks at the promoter-proximal region and is involved in the pause-release of RNAPII. By implementing super-resolution microscopy techniques, we previously reported that the nuclear Phosphatidylinositol 4,5-bisphosphate (PIP2) associates with the Ser5-phosphorylated-RNAPII complex and facilitates the RNAPII transcription. In this study, we identified Myosin Phosphatase Rho-Interacting Protein (MPRIP) as a novel regulator of the RNAPII transcription that recruits Tyr1-phosphorylated CTD (Tyr1P-CTD) to nuclear PIP2-containing structures. The depletion of MPRIP increases the number of the initiation condensates, indicating a defect in the transcription. We hypothesize that MPRIP regulates the condensation and transcription through affecting the association of the RNAPII complex with nuclear PIP2-rich structures. The identification of Tyr1P-CTD as an interactor of PIP2 and MPRIP further points to a regulatory role in RNAPII pause-release, where the susceptibility of the transcriptional complex to leave the initiation condensate depends on its association with nuclear PIP2-rich structures. Moreover, the N-terminal domain of MPRIP, which is responsible for the interaction with the Tyr1P-CTD, contains an F-actin binding region that offers an explanation of how nuclear F-actin formations can affect the RNAPII transcription and condensation. Overall, our findings shed light on the role of PIP2 in RNAPII transcription through identifying the F-actin binding protein MPRIP as a transcription regulator and a determinant of the condensation of RNAPII.
An arbitrary high-order discontinuous Galerkin method for elastic waves on unstructured meshes - IV. Anisotropy

SUMMARY We present a new numerical method to solve the heterogeneous elastic anisotropic wave equation with arbitrary high-order accuracy in space and time on unstructured tetrahedral meshes. Using the most general Hooke's tensor we derive the velocity-stress formulation leading to a linear hyperbolic system which accounts for the variation of the material properties depending on direction. This approach allows for the accurate modelling even of the most general crystalline symmetry class, the triclinic anisotropy, as no interpolation of material properties to particular mesh vertices is necessary. The proposed method combines the Discontinuous Galerkin method with the arbitrary high-order derivatives (ADER) time integration approach using arbitrary high-order derivatives of the piecewise polynomial representation of the unknown solution. The discontinuities of this piecewise polynomial approximation at element interfaces permit the application of the well-established theory of finite volumes and numerical fluxes across element interfaces obtained by the solution of derivative Riemann problems. Due to the novel ADER time integration technique the scheme provides the same approximation order in space and time automatically. A numerical convergence study confirms that the new scheme achieves the desired arbitrary high-order accuracy even for anisotropic material on unstructured tetrahedral meshes. Furthermore, it shows that higher accuracy can be reached with higher-order schemes while reducing computational cost and storage space. To this end, we also present a new Godunov-type numerical flux for anisotropic material and compare its accuracy with a computationally simpler Rusanov flux. As a further extension, we include the coupling of anisotropy and viscoelastic attenuation based on the Generalized Maxwell Body rheology and the mean and deviatoric stress concepts. Finally, we validate the new scheme by comparing the results of our simulations to an analytic solution as well as to spectral element computations.
Submicrometer resolution replication of relief patterns for integrated optics

We report on three techniques for replicating relief patterns in dielectric materials for use as substrates for planar integrated optical circuits: embossing with a metal die; casting from a metal die; and casting from a rubber mold. Techniques for overcoating the substrates with light‐guiding films and filling of grooves are also described. Measured losses in sheet film guides were ≤0.5 dB/cm. Guiding was also observed in narrow light guides fabricated by each technique. Embossing is the simplest process, but for small‐scale production the casting processes are simpler to implement.
Heterogeneous Integration of Silicon-Based RC Snubber in SiC Power Module for Parasitic Oscillation Noise Reduction

Due to the increased switching speed and reduced device capacitance, the parasitic oscillation of the switching device has become the primary high-frequency electromagnetic interference (EMI) noise source in SiC converters. The dc-link snubber offers a potential to mitigate the noise in a cost-efficient way. However, the temperature limits and thermal de-ratings of the existing ceramic capacitor hinder the exploration of module-level integration. In this letter, a silicon-based RC snubber is designed to fit the working temperature of the power module. With the developed four-order damping and thermal coupling models, the iterative method is proposed to optimize the integration performance. The experiments validate the temperature stability of the integrated snubber. With the aid of the proposed RC snubber, the EMI noise induced by the parasitic oscillation in the prototype module is reduced by 7 to 22 dB compared with the nonsnubber module with ceramic decouplers.
Quantitatively Interpreting Residents Happiness Prediction by Considering Factor–Factor Interactions

Exploring the high-effect factors of residents’ happiness is good for a wide range of policy-making for economics and politics in most countries. Limited to the concerns of sociologists, previous efforts manually predefined the relationship among multifactors to analyze the factor–factor interactions with high interpretability by regression models. Recently, deep learning methods show great promising prediction accuracy by automatically learning additive interaction between factors, while it meets the challenges of interpretability. To this end, an unbiased post-hoc and model-agnostic method is promising to quantitatively interpret the results of the happiness prediction model. Thus, this article proposes a novel solution based on the deep neural network (DNN) and the Shapley value to compute the factor–factor interactions in different coalitions based on coalitional game theory. Aiming at evaluating the pairwise interactions interpretability quality of our solution, experiments are conducted on the Chinese General Social Survey (CGSS) and European Social Survey (ESS) questionnaire datasets. By systematic reviews, the experimental results are highly consistent with academic studies in social science. Analyzed by different factor categories, the new finding is that some factors, e.g., body mass index (BMI) and social media, play a crucial role in happiness prediction but are rarely considered in social science studies. Specifically, there are some heavy interactions across multicategories, such as personal information (health and age) with economics (insurance and income). Therefore, this solution can theoretically support the implications of social decision-making.
State estimation for Markovian jump systems with time-varying delay and partial information on transition probabilities [Brief Paper]

This study investigates the state estimation problem for a class of continuous-time Markovian jump systems (MJSs) with time-varying delay and partial information on transition probabilities. The novel sufficient conditions are established to guarantee the mean square stability of MJSs via introducing the free-connection weighting matrices. As a result, the state estimators are designed to estimate original systems through available output measurement. Finally, numerical examples and simulations are given to illustrate the effectiveness and the merits of the proposed method.
Absorption and Scattering Cross Section of Regular Black Holes

By using the partial wave method, we investigate the absorption of massless scalar wave from regular black hole. We numerically carry out the absorption cross section and find that the larger angular momentum quantum number is, the smaller the corresponding maximum value of partial absorption cross section is. Comparing with Schwarzschild case, the absorption cross section of regular black holes is strengthened in both low and high frequency regions, and the absorption cross section oscillates around the geometric optical value in the high frequency region. Generally speaking, the scattering flux is strengthened and its scattering width becomes narrower in the forward direction. There are obvious contrast of scattering properties of different type of regular black hole.
Confidence intervals estimation for survival function in Weibull proportional hazards regression based on censored survival time data

Weibull distribution plays a central role in the analysis of survival or life time data. Link (1984, 1986) presented a confidence interval estimate of survival function using Cox's proportional hazard model with covariates. Her idea more recently extended by Alakuet al. (2007) to the exponential distribution and Alakuet al. (2007) to exponential proportional hazard model, respectively. Alaku� (2010) studied confidence intervals for survival function from Weibull distribution. The same idea may be extended to the Weibull proportional hazard model provided that the survival times have a Weibull distributed random variable. In this study, we formed confidence interval for Weibull survival function for any values of the time and the covariates. Real data examples are also considered for illustrating the discussed confidence interval.
Polarization dragging in injected lasers

The vectorial injection locking of a slave laser by a linearly polarized master laser is theoretically and experimentally investigated, taking the nature and the stability of the eigenstates of the slave laser into account. It is proved that the behavior of the polarization, intensity, and frequency of the slave laser can be described by four nonlinear coupled differential equations, for lasers in which population inversion remains quite constant. In particular, it is shown that the stability of the eigenstates of the slave laser plays a dramatic role in the response of this laser to injection. Isotropic slave lasers are shown to follow adiabatically the polarization of the master laser in the frequency locking range. Loss anisotropic slave lasers exhibit a specific Adler tongue behavior and can support the transfer of the polarization of the master laser only along their eigenstates. Phase anisotropic slave lasers are shown to exhibit two bistable or simultaneous Adler curves and to offer new possibilities of all-optical command. In all of these cases, a good agreement is obtained between theory and experiment and the study of polarization throws light on the physics of injection locking. >
Climate change and river water pollution: An application to the Ganges in Kanpur

We provide a theoretical framework to analyze how climate change influences the Ganges and how this influence affects pollution in the river caused by tanneries in Kanpur, India. We focus on two tanneries, A $A$ and B, $B,$ that are situated on the same bank of the Ganges in Kanpur. Both produce leather and leather production requires the use of noxious chemicals. Tannery A $A$ is situated upstream from tannery B. $B. $ Tannery A's ${A\text{'}s}$ leather production depends on labor use but tannery B's ${B\text{'}s}$ leather production depends on labor use, the chemical waste generated by tannery A, $A,$ and the natural pollution absorbing capacity of the Ganges. In this setting, we perform four tasks. First, we construct a metric that measures the climate change induced mean reduction in the natural capacity of the Ganges to absorb pollution in the time interval [0,t]. $[0,{t}]. $ Second, we use this metric and determine the equilibrium production of leather by both tanneries in the benchmark case in which there is no pollution. Third, we ascertain how the benchmark equilibrium is altered when tannery B $B$ accounts for the negative externality foisted upon it by tannery A. $A. $ Finally, we study the impact on leather production and on labor use when the two tanneries merge and then discuss the policy implications stemming from our research.
Tildrakizumab for the Treatment of Moderate-to-Severe Psoriasis: Results from 52 Weeks Real-Life Retrospective Study

Background Tildrakizumab, an anti-IL-23, showed promising efficacy and safety profiles in two randomized clinical-trials (reSURFACE-1 and reSURFACE-2), comparing tildrakizumab superiority to placebo and etanercept. Due to its recent availability in clinical-practice, real-life data are still limited. Objective To assess the efficacy and safety of tildrakizumab in a real-world-practice in patients suffering from moderate-to-severe psoriasis. Methods A 52-week observational retrospective study enrolled patients suffering from moderate-to-severe plaque-psoriasis, starting tildrakizumab treatment. Results A total of 42 patients were included in the study. Mean PASI showed a significant reduction at each follow-up (p<0.001), reducing from 13.5±5.9 at baseline, 2.8±3.8 at week-28, resulting stable up to week-52. High rates of patients reached both PASI90 and PASI100 responses at both week 16 (PASI90: 52.4%, PASI100: 33.3%) and week 28 (PASI90: 76.1%, PASI100: 61.9%), maintaining these up to week 52 (PASI90: 73.8%, PASI100: 59.5%). The impact of treatment on patient’s quality of life has been evaluated with DLQI, which showed a significant reduction during follow-ups. Conclusion Our data confirm tildrakizumab as an effective and generally safe treatment for the management of moderate-to-severe psoriasis, with high rates of both PASI90 and PASI100 responses, and very few reported adverse events, up to 52 weeks of follow-up.
Statistical analysis of type I multiply left-censored samples from exponential distribution

Left-censored data with one or more detection limits (DLs) often arise in environmental contexts. The computational procedure for the calculation of maximum likelihood estimators of the parameter for Type I multiply left-censored data from underlying exponential distribution is suggested and used considering various numbers of DLs. The expected Fisher information measure (FIM) is analytically determined and its performance is compared with sample (observed) FIM using simulations. Simulations are focused primarily on the properties of estimators for small sample sizes. Moreover, the simulations follow the possible applications of the results in the statistical analysis of real chemical data.
On the size of the broad-line region in Arakelian 120

Continuum and emission-line variability in ultraviolet and optical spectra of the Seyfert 1 galaxy Akn 120 during an outburst, described by Alloin D. et al.(Active Galactic Nuclei, ed D. E. Ostrebrock and J. S. Miller), are analysed. By combining the optical and ultraviolet data, continuum and emission-line light curves which can be used in a cross-correlation analysis are obtained. A lag of 39 ± 14 days between the continuum and emission-line variations is determined. While the uncertainty in this determination is considerable, lags as large as those expected from light-travel times in broad-line regions predicted by standard photoionisation models seems to be unlikely.
An automatic email distribution by using text mining and reinforcement learning

The authors created a system to automatically distribute inquiry email from electronic mail systems or the Web to the appropriate supervisor. The proposed method gathers document data created by the supervisors, calculates the tf·idf value and the idfsconf value for the words that appear in the documents, and then creates two types of dictionaries for each supervisor. Moreover, the method features the use of Profit Sharing instead of conventional inductive learning for two weights of terms. Profit Sharing is one method of reinforcement learning. The system compares the inquiry email and the dictionaries, then calculates a score for each supervisor based on the word weights and match rates, and identifies a supervisor with a high score as the respondent. The authors performed evaluation experiments using real inquiry emails in order to evaluate the effectiveness of their method, and found the following. (1) Based on the distribution accuracy of specialists who distribute inquiry email, the accuracy necessary for practical use was obtained. (2) In distribution using only the tf·idf value and the idfsconf value, distribution accuracy sufficient for practical purposes was not obtained. (3) A practical level of distribution accuracy, roughly equivalent to that of the distribution specialists, was obtained through reinforcement learning of the word weights in (2). Finally, the authors evaluated the number of document files and noise necessary to obtain the practical level of accuracy in (3) and compared the accuracy in their method with that of a conventional text categorization method. © 2006 Wiley Periodicals, Inc. Syst Comp Jpn, 37(12): 82–95, 2006; Published online in Wiley InterScience (). DOI 10.1002sscj. 20387
Double-wall carbon nanotubes under pressure : Probing the response of individual tubes and their intratube correlation

High pressure Raman experiments were performed on the model system of double-wall carbon nanotubes. Changes in the resonance Raman profile of the radial breathing modes provide a unique demonstration of the inner tubes' band gap reduction with pressure. The overall trend of the internal tubes' normalized mode pressure coefficients vs frequency reveals the size-dependent properties of individual carbon nanotubes. Moreover, their quasilinear grouping, attributed to the inner-outer tube (intratube) coupling and its tube spacing dependence, manifests the existence of specific inner-outer tube combinations.