Miracle-dz/UniFAR-FTUs huggingface dataset:
Confining the light wave by using non-Euclidean transformation optics

A new way to understand why some inhomogeneous dielectric medium can be used for confining the light wave has been given by using non-Euclidean transformation optics. We show that special inhomogeneous dielectric medium, which corresponds to a dip in the reference space, can be used for focusing a plane wave. If we set an absorber at the appropriate position of this medium, we can highly confine the light on the subwavelength scale.
guide to Florida’s common bark and ambrosia beetles

This 36-page guide provides an introduction to the biology and identification of Florida’s bark and ambrosia beetles. Written by Craig Bateman and Jiri Hulcr, and published by the UF Department of School of Forest Resources and Conservation, September 2014. FOR321/FR389: A Guide to Florida's Common Bark and Ambrosia Beetles (ufl.edu)
Reynolds Stress Transport Modelling

The Reynolds–averaged Navier–Stokes (RANS) approach is the most commonly employed approach in CFD for industrial applications, and is likely to continue to be so for the foreseeable future. The need to handle complex wall-bounded flows, and the need to evaluate large numbers of design variations usually prohibits high-fidelity approaches such as direct numerical simulation (DNS), and large-eddy simulation (LES). The application of Reynolds–averaging to the equations of motion introduces a set of unclosed terms, the Reynolds Stresses, into themean flowmomentum equations, and turbulencemodels are needed to provide closure of these terms before the set of equations can be solved. Within the framework of RANS approaches, a hierarchy of modelling schemes exists based on the level of sophistication in which these unclosed terms are modelled. In Reynolds stress transport (RST) modelling, rather than assuming a direct (linear or non–linear) link between the Reynolds stresses and mean strain, a separate transport equation for each of the stress components is solved. This in principle provides a number of advantages over other RANS models, which will be reviewed here. This chapter aims to provide a general introduction and overview of Reynolds Stress transport modelling. The first section will provide a brief historical background on the development of this class of models. Next, the theoretical background and rationale underlying the most common modelling practises within this framework are presented. This is followed by a discussion of some numerical implementation issues specific to RST modelling within the context of the finite volume method. Finally the chapter is closed with some concluding remarks.
Star Formation Rates of Local Blue Compact Dwarf Galaxies. I. 1.4 GHz and 60 Micron Luminosities

We determine and examine the star formation rates of 50 well-known, local blue compact dwarf (BCD) galaxies based on their 1.4 GHz and 60 μm luminosities. We find that in cases for which both radio and far-infrared luminosities are available, the resulting star formation rates agree extremely well with one another. We determine that the star formation rates of the BCD galaxies in our sample span nearly 5 orders of magnitude, from approximately a few times 10-3 to several times 101 M⊙ yr-1, with a median SFR of about 0.3 M⊙ yr-1. We discuss trends of metallicity (primarily oxygen abundance) with star formation rate and explore the connections between SFR and galaxy mass estimates.
Five useful techniques for analysing palynological data

Palynologists often produce large quantitative data sets that can seldom be matched by other types of paleontological data. Although palynological data are subject to study by analytical techniques to answer questions regarding evolution, paleoclimate, and biogeography, the use of palynological data has often been qualitative, thus limiting their interpretation. Here, five techniques that can be used with palynological data are presented. These deal with diversity (number of species, evenness, diversity indices, and abundance distribution models), comparing similarities among samples, building a composite section, constructing species ranges, and estimating edge effects. The code necessary to perform these techniques has been included using R for Statistical Computing. R is an open-source and powerful statistical software available freely to anyone worldwide.
A second course in complex analysis

Come with us to read a new book that is coming recently. Yeah, this is a new coming book that many people really want to read will you be one of them? Of course, you should be. It will not make you feel so hard to enjoy your life. Even some people think that reading is a hard to do, you must be sure that you can do it. Hard will be felt when you have no ideas about what kind of book to read. Or sometimes, your reading material is not interesting enough.
Platyspermic seeds from the Early Permian of Parana Basin, Brazil

This paper results from a taxonomic study of platyspermic seeds from taphofloristic assemblage of the "Toca do Indio Ranch", belonging to the upper portion of the Itarare Subgroup, Municipality of Cerquilho (SP) and a revision of material collected by Millan (1977) from the same area which is deposited in the National Museum of Rio de Janeiro. The assemblage comprises the Transitional Taphoflora (A-B) or the Gangamopteris-Rubidgea-Stephanophyllites association from the type-locality of Northeastern Parana Basin. This taphoflora is Early Permian (Asselian- Early Sakmarian) in age and records the beginning of the colonization of the Parana Basin by the proto-glossopterid and gangamopterid elements of the Glossopteris flora. It is, probably, correlated to the Argentinean "Lubeckense A" Floristic Stage or even a little older. The platyspermic seeds are assigned to the genera Samaropsis and Cordaicarpus. The assemblage is diversified and includes the taxa Cordaicarpus brasilianus n. sp. , Samaropsis dolianitii Millan, S. rigbyi Millan, S. tietensis Millan, S cerquilhensis (Millan) comb. nov., S moreirana (White) Millan, S. goraiensis Surange & Lele, S. rugata sp. nov. and S rohnii sp.nov. The record of S. moreirana (White) Millan in the present study is the oldest from the Parana Basin and S. goraiensis Surange & Lele is recognized for the first time outside India. The wide variety of detached seeds reflect the diversification of the gymnosperms in this assemblage, putatively related to the last interglacial event of the Lower Gondwana glaciation in the Parana Basin. Biostratigraphic correlation based on seeds is not possible due to apparent endemic nature of the assemblage and further work in this field is required.
Blind source separation using information measures in the time and frequency domains

The major goal of this dissertation is to present new algorithms for blind source separation under linear mixing models. All of these algorithms are directly or implicitly based on the information-theoretical concept of mutual information (Kullback-Leibler divergence) using appropriate criteria to characterize the statistical relationship among the outputs of the learning system. Different criteria are suitable for different source separating systems and extract different source types. Linear mixing channels can be modeled by either instantaneous or convolutive mixtures. Blind source separation of instantaneous mixtures has been well studied and successfully solved but this simplified model is restricted in applications. The more realistic convolutive mixture is more difficult to analyze and subject to current research since it has a wide range of applications. We propose five information criteria to solve the blind source separation problems for both instantaneous and convolutive mixtures: (1) Frobenius norm is a measure of the total squared cross-correlation among the outputs; (2) Hadamard inequality is another measure for the cross-correlation among the outputs in the frequency domain; (3) The degraded contrast function is associated with the constrained marginal entropy under the generalized Gaussian distribution models; (4) Quadratic Gaussianity is a measure for the difference between the output's distribution and the Gaussianity; (5) The eigenspread is a measure for the significant feature extraction of nonstationary signals. For nonstationary signals, separation can be effected by temporal second-order statistics, i.e., the temporal cross-correlation, which does not depend upon any global distribution model. Based on the minimization of the temporal cross-correlation, efficient simultaneous diagonalization algorithms are applied for blind source separation in the time and frequency domains. Hence the Frobenius norm and Hadamard inequality, which are functions of cross-correlation, are applied for the source separation of nonstationary signals. For non-Gaussian (stationary or nonstationary) signals, we can extract sources with the constrained entropy minimization. The quadratic Gaussianity, the degraded contrast function (under generalized Gaussian model) and the eigenspread are measures associated with the entropy. The optimization of those three measures can be also applied for source separation (extraction). All of these algorithms based on the information measures do not depend on the source distributions and hence are robust for practical applications. Finally, we apply the new algorithms to separate speech signals and evaluate their performance and computational complexity.
A Frequency Reconfigurable MIMO Antenna with Bandstop Filter Decoupling Network for Cognitive Communication

A compact reconfigurable MIMO antenna was developed for cognitive radio applications in this research work. A bandstop filter-based decoupling network was employed in this MIMO antenna to keep mutual coupling at a minimum. A single PIN diode was connected in the filter configuration for the purpose of reconfiguration. Controlling the ON/OFF conditions of the PIN diode, it became possible to achieve a MIMO operating frequency of 4.75 GHz in mode 1 and 1.77 GHz in mode 2, respectively. At 4.75 GHz, isolation was 42.68 dB, while at 1.77 GHz, isolation was 26.52 dB. The proposed reconfigurable MIMO antenna achieved a peak gain and radiation efficiency of 6.63 dBi and 92.04 percent in mode 1 and 4.41 dBi and 89.64 percent in mode 2. MIMO characteristics such as an envelope correlation coefficient (ECC) less than 0.253, diversity gain (DG) greater than 9.675 dB, a mean effective gain (MEG) measurement ratio of less than 0.00388 dB, and channel capacity loss (CCL) of less than 0.06528 bits/s/Hz were measured for both operational frequency bands. To make it simple to integrate into small wireless devices, the overall size of the antenna is limited to 48 mm×24 mm 0.28 λ0×0.12 λ0.
Femtosecond pulse laser-induced self-organized nanostructures on the surface of ZnO crystal

This paper reports self-organized nanostructures observed on the surface of ZnO crystal after irradiation by a focused beam of a femtosecond Ti:sapphire laser with a repetition rate of 250 kHz. For a linearly polarized femtosecond laser, the periodic nanograting structure on the ablation crater surface was promoted. The period of self-organization structures is about 180 nm. The grating orientation is adjusted by the laser polarization direction. A long range Bragg-like grating is formed by moving the sample at a speed of 10 mu m/s. For a circularly polarized laser beam, uniform spherical nanoparticles were formed as a result of Coulomb explosion during the interaction of near-infrared laser with ZnO crystal.
the Annual the Cognitive Science Society Distinct Developmental Trajectories In The Cognitive Components Of Complex Planning

This study aimed to characterize the developmental trajectories of different cognitive component processes underlying planning decisions. Participants (ages 8-25 years) completed a planning task called Four-in-a-row. We used computational modeling to distinguish between three cognitive component processes of planning: planning depth, heuristic quality, and attentional oversights, each of which three contributed to bet- ter playing strength, but differed in their developmental trajectories. Specifically, from early to mid-adolescence, heuris- tic quality rapidly improved and contributed to better playing strength. From mid to late-adolescence, planning depth in- creased and supported better playing strength. Fewer attentional oversights were associated with better playing strength and this relation did not show age differences. Together, these results reveal sequential development of the cognitive compo- nent processes underlying planning, with early refinement of heuristic strategies, and gradual increases into young adult- hood in the number of considered future actions, states, and outcomes. These findings provide a more complete account of the development of planning and its component processes.
Flux qubits in a planar circuit quantum electrodynamics architecture: Quantum control and decoherence

We report experiments on superconducting flux qubits in a circuit quantum electrodynamics (cQED) setup. Two qubits, independently biased and controlled, are coupled to a coplanar waveguide resonator. Dispersive qubit state readout reaches a maximum contrast of 72%. We measure energy relaxation times at the symmetry point of 5 and $10\ensuremath{\mu}\mathrm{s}$, corresponding to 7 and $20\ensuremath{\mu}\mathrm{s}$ when relaxation through the resonator due to Purcell effect is subtracted out, and levels of flux noise of 2.6 and $2.7\phantom{\rule{0.222222em}{0ex}}\ensuremath{\mu}{\mathrm{\ensuremath{\Phi}}}_{0}/\sqrt{\text{Hz}}$ at 1 Hz for the two qubits. We discuss the origin of decoherence in the measured devices. The strong coupling between the qubits and the cavity leads to a large, cavity-mediated, qubit-qubit coupling. This coupling, which is characterized spectroscopically, reaches 38 MHz. These results demonstrate the potential of cQED as a platform for fundamental investigations of decoherence and quantum dynamics of flux qubits.
Effects of Teachers' Leadership on Their Teaching Practices.

This study explored the extent to which teachers' participation in leadership and decision making affects their teaching practices, particularly their planning and delivering of instruction. The study involved an open-ended survey of 25 teacher leaders in a school district in central Texas, which was a school-based management site that had incorporated a Peer Assisted Leadership and Support component. Findings are presented according to the following themes: time frame of performance, need for leadership preparation, effect of teacher leadership on teaching practice, and satisfaction with dual roles. Findings reveal that teacher leaders perform their leadership duties at a variety of times in an effort to protect their classroom teaching and seem to use the time they normally spend in planning and conferencing, as well as their own personal time. While findings reveal that most teachers enjoy the challenge of performing two roles they also indicated that they periodically become overwhelmed with the responsibilities of both roles. The study concludes that teacher leadership might adversely affect some teaching practices, as planning and preparation for instruction are affected, and teacher leaders' sudden shifts from leading to teaching affects their teaching focus. (Contains 41 references.) (JDD)
Study on Electronic Properties of  -Uranium using Ab-initio Approach BIBECHANA

In the present work, a density functional theory (DFT) based simulation is performed to study the electronic properties of (-uranium through the electronic band structure, total electron density of states (DOS), integrated density of states (IDOS), partial density of states (PDOS) and Fermi -surface measurements. A Generalized Gradient Approximation (GGA) with Projector-Augmented Wave (PAW) pseudopotential is used in present computation. The hybridization between the 5 𝑓 orbital and 6 𝑑 orbital also has fairly influences on the electronic Properties of  -Uranium.
Determinants of Non-Performing Loans: Banking Sector Listed in Indonesia Stock Exchange

This study proposes to obtain empirical evidence whether profitability has a negative effect on non-performing loans, whether income diversification has a positive effect on non-performing loans, whether bank capital has a negative effect on non-performing loans, and whether bank liquidity has a negative effect on non-performing loans. The sample used in this research are 28 banking companies listed on the Indonesia Stock Exchange during the 2017-2019 period. Sampling was carried out using purposive sampling technique and data were processed using Eviews 10 software. The results indicate that profitability has a negative effect on non-performing loans, income diversification has a positive effect on non-performing loans, bank capital has no negative effect on non-performing loans, and bank liquidity has no negative effect on non-performing loans.
Few-Shot Learning with Semi-Supervised Transformers for Electronic Health Records

With the growing availability of Electronic Health Records (EHRs), many deep learning methods have been developed to leverage such datasets in medical prediction tasks. Notably, transformer-based architectures have proven to be highly effective for EHRs. Transformer-based architectures are generally very effective in "transferring" the acquired knowledge from very large datasets to smaller target datasets through their comprehensive "pre-training" process. However, to work efficiently, they still rely on the target datasets for the downstream tasks, and if the target dataset is (very) small, the performance of downstream models can degrade rapidly. In biomedical applications, it is common to only have access to small datasets, for instance, when studying rare diseases, invasive procedures, or using restrictive cohort selection processes. In this study, we present CEHR-GAN-BERT, a semi-supervised transformer-based architecture that leverages both in- and out-of-cohort patients to learn better patient representations in the context of few-shot learning. The proposed method opens new learning opportunities where only a few hundred samples are available. We extensively evaluate our method on four prediction tasks and three public datasets showing the ability of our model to achieve improvements upwards of 5% on all performance metrics (including AUROC and F1 Score) on the tasks that use less than 200 annotated patients during the training process.
: an Adaptive Gossip-Based Dissemination Protocol for Multi-Source Message

Gossip-based protocols provide a simple, scalable, and robust way to disseminate messages in large-scale systems. In such protocols, messages are spread in an epidemic manner. Gossiping may take place between nodes using push, pull, or a combination. Push-based systems achieve reasonable latency and high resilience to failures but may impose an unnecessarily large redundancy and overhead on the system. At the other extreme, pull-based protocols impose a lower overhead on the network at the price of increased latencies. A few hybrid approaches have been proposed— typically pushing control messages and pulling data— to avoid the redundancy of high-volume content and single-source streams. Yet, to the best of our knowledge, no other system intermingles push and pull in
Revisiting DP-Means: fast scalable algorithms via parallelism and delayed cluster creation

DP-means, a nonparametric generalization of K-means, extends the latter to the case where the number of clusters is unknown. Unlike K-means, however, DP-means is hard to parallelize, a limitation hindering its usage in large-scale tasks. This work bridges this practicality gap by rendering the DP-means approach a viable, fast, and highly-scalable solution. First, we study the strengths and weaknesses of previous attempts to parallelize the DP-means algorithm. Next, we propose a new parallel algorithm, called PDC-DP-Means (Parallel Delayed Cluster DP-Means), based in part on delayed creation of clusters. Compared with DP-Means, PDC-DP-Means provides not only a major speedup but also performance gains. Finally, we propose two extensions of PDC-DP-Means. The ﬁrst combines it with an existing method, leading to further speedups. The second extends PDC-DP-Means to a Mini-Batch setting (with an optional support for an online mode), allowing for another major speedup. We verify the utility of the proposed methods on multiple datasets. We also show that the proposed methods outperform other non-parametric methods ( e.g. , DBSCAN). Our highly-efﬁcient code can be used to reproduce our experiments and is available at https://github.
Highest-performance Stream Processing

We present the stream processing library that achieves the highest performance of existing OCaml streaming libraries, attaining the speed and memory efficiency of hand-written state machines. It supports finite and infinite streams with the familiar declarative interface, of any combination of map, filter, take(while), drop(while), zip, flatmap combinators and tupling. Experienced users may use the lower-level interface of stateful streams and implement accumulating maps, compression and windowing. The library is based on assured code generation (at present, of OCaml and C) and guarantees in all cases complete fusion.
Can Spin-Orbit Interaction protect a Non-Fermi Liquid?

We show that a thermoelectric transport through a Quantum Dot (QD) - single-mode Quantum Point Contact (QPC) nano-device demonstrating pronounced fingerprints of Non-Fermi Liquid (NFL) behavior in the absence of external magnetic field is protected from magnetic field NFL destruction by strong spin-orbit interaction (SOI). The mechanism of protection is associated with appearance of additional scattering processes due to lack of spin conservation in the presence of both SOI and small Zeemann field. The interplay between in-plane magnetic field $\vec B$ and SOI is controlled by the angle between $\vec B$ and $\vec B_{SOI}$ We predict strong dependence of the thermoelectric coefficients on the orientation of the magnetic field and discuss a window of parameters for experimental observation of NFL effects.
Measuring Congruence Between Voters and Parties in Online Surveys: Does Question Wording Matter?

Congruence on policies between political parties and voters is a frequently assumed re-quirement for democracy. To be able to study this, we should be able to calculate accurate and precise measures of policy congruence in political systems. This could then tell us more about the political system we study, and the “distances” that exist between parties and voters on either issues or broader ideological dimensions. Here, I draw on experimental data from a Voting Advice Application to show that the wording of the issues can influence the degree of congruence one measures. Yet, this comes with the complication that this influence depends on the type of issue, the characteristics of the voters themselves, and the party the congruence is calculated with. These findings should serve as a warning for those who aim to measure congruence that even minor changes in question-wording can (but do not have to) cause relatively large changes in congruence, especially when many parties are involved and the differences between the congruences are small.