Miracle-dz/UniFAR-FTUs huggingface dataset:
Optical Helicity and Optical Chirality in Free Space and in the Presence of Matter

The inherently weak nature of chiral light–matter interactions can be enhanced by orders of magnitude utilizing artificially-engineered nanophotonic structures. These structures enable high spatial concentration of electromagnetic fields with controlled helicity and chirality. However, the effective design and optimization of nanostructures requires defining physical observables which quantify the degree of electromagnetic helicity and chirality. In this perspective, we discuss optical helicity, optical chirality, and their related conservation laws, describing situations in which each provides the most meaningful physical information in free space and in the context of chiral light–matter interactions. First, an instructive comparison is drawn to the concepts of momentum, force, and energy in classical mechanics. In free space, optical helicity closely parallels momentum, whereas optical chirality parallels force. In the presence of macroscopic matter, the optical helicity finds its optimal physical application in the case of lossless, dual-symmetric media, while, in contrast, the optical chirality provides physically observable information in the presence of lossy, dispersive media. Finally, based on numerical simulations of a gold and silicon nanosphere, we discuss how metallic and dielectric nanostructures can generate chiral electromagnetic fields upon interaction with chiral light, offering guidelines for the rational design of nanostructure-enhanced electromagnetic chirality.
Novedad empírica y creación de conceptos

Due to the historical origin and development of reason, an inventory of its main concepts at a particular moment is less interesting to us than the study of their formation and fixation. This process is studied here in the light of examples from the history of physics. The first one concerns the subsumption of the well-known phenomena of free fall and planetary motion to a new concept of gravity in the 17th century; the remaining examples, drawn from 19th century electrodynamics and 20th century microphysics and cosmology, display the interplay of such concepts with empirical novelties that prompt them in some case and realize them in others.
Preparedness of Nursing International Students for their Clinical Learning in the Philippines

The Republic of the Philippines is well known for producing quality nurses for the medical field around the world. It is not uncommon to find Filipino nurses in prestigious hospitals in many hospitals both in First World and Third World countries. This excellent record of performance has most likely been one of the reasons why there is an increase in the number of international students coming to the Philippines to complete their nursing degrees. One foreseeable challenge that international nursing students must face in the Philippines is effective communication with patients during their clinical learning. Little is known about how these students are prepared to communicate effectively in a context that is so culturally diverse from their own. Using focus groups design, four groups of nursing students were interviewed to explore their lived experiences pertaining to the preparedness for their multicultural communication for the Philippine hospital settings. Results will help understand how effectively international nursing students are prepared to communicate with their Philippine patients.
Health Care in Rural America.

Nonmetropolitan area have greaterpunmet health needs and fewer. health resources, than, metropolitan areas. This,report compares health needs and'resources in both areas, and shows that nonmetro areas' lower incomes, lergpeaged populations, hazard7'ous UCcupations,. ind lower educational.levels contribute to poorer health care -conditions. A positive' development has been'theFederalGoverament'S recognition of problems and its programs designed to meet these special needs. It will be . important to recognize rural residents/ health needs under. any national health insurance program. \.
Impact of Increased Vertical Resolution on Medium-Range Forecasts in a Global Atmospheric Model

This study aims to investigate the impact of increased vertical resolution on global medium-range forecasts. For this purpose, the dependencies of simulated atmospheric temperature and specific humidity on the lowest model level height and vertical grid spacing are investigated. The reduced first model level increases vertical turbulent mixing by determining a higher planetary boundary layer (PBL) height and associated turbulent diffusivities and velocity scales. This contributes to warming/drying within the PBL and cooling/moistening above the PBL. Resulting dryness near the surface enhances an increase in surface moisture flux from the ocean, which results in the apparent moistening of the troposphere. Consequently, large-scale precipitation increases due to more humid atmospheric conditions, while convective precipitation decreases because of drier conditions near the starting level of convection. Meanwhile, the reduced vertical grid spacing resolves the overshooting layer well in the cumulus convection process, which decreases the detrained moisture at the convective cloud top. This leads to a noticeable downward shift of ice clouds in the upper troposphere, and further contributes to the enhancement of longwave cooling via cloud–radiation processes. In medium-range forecasts, the increased vertical resolution exerts a significant impact on the simulated features of tropospheric temperature and humidity, while changes in the prediction accuracy precipitation are negligible owing to compensation between convective and large-scale precipitation. Finally, the discussion of possible methods to minimize the sensitivities of model’s physics to vertical resolution is presented.
Additive Manufacturing Applications in Industry 4.0: A Review

Additive manufacturing (AM) is a set of technologies and are vital to fulfilling different requirements of Industry 4.0. So, there is a need to study different additive manufacturing applications toward its achievement. From the Scopus database, different research articles on “Industry 4.0” and “additive manufacturing applications in Industry 4.0” are identified and studied through a bibliometric analysis. It shows that there is an increasing trend of publications in this new area. Industry 4.0 has entered new markets which focus on customer delight by adding values in product and services. It supports automation, interoperability, actionable insights and information transparency. There are different components vital to implement Industry 4.0 requirements. Through this extensive literature review based work, we identified different components of Industry 4.0 and explained the critical ones briefly. Finally, 13 important AM applications in Industry 4.0 are identified. The main limitation of the AM manufactured part is of comparable low strength and associated quality, coupled with a high cost of the printing machine system. In this upcoming industrial revolution, AM is a crucial technology which has become the main component of product innovation and development. This disruptive technology can fulfil different challenges in the future manufacturing system and help the industry to produce innovative products. For this futuristic manufacturing system, additive manufacturing is an upcoming paradigm, and Industry 4.0 will use its potential to achieve required goals.
Aplikasi Penilaian Otomatis Ujian Esai Berbahasa Indonesia Menggunakan Algoritma K-Nearest Neighbor (Studi kasus MAN Cimahi)

Ujian esai adalah sebuah bentuk evaluasi untuk mengetahui kemampuan siswa dalam penguasaan materi yang telah diberikan. Ujian esai memiliki kekurangan, yaitu guru memerlukan waktu yang lama untuk memeriksa jawaban karena harus membaca satu persatu jawaban siswa. Di samping itu terdapat kendala lain, salah satunya tulisan siswa yang sulit dibaca. Banyaknya jumlah jawaban siswa yang harus dinilai dapat menurunkan kualitas penilaian, karena penilaian yang kurang konsisten. Untuk mengatasi masalah tersebut, Aplikasi Penilaian Otomatis Ujian Esai Berbahasa Indonesia dibuat sebagai alternatif bagi guru dalam menilai ujian esai. Pengembangan aplikasi menggunakan model Waterfall. Penilaian menggunakan machine learning dengan metode pembobotan normalized term frequency - relevance frequency (TR-RF) dan algoritma K-Nearest Neighbor (K-NN). Di samping membantu meningkatkan kecepatan menilai, aplikasi yang dibangun juga menyertakan fitur ujian esai secara online, sehingga dapat mengatasi masalah tulisan jawaban siswa yang tidak terbaca. Fitur lainnya adalah laporan hasil ujian, baik laporan satu ujian maupun laporan seluruh ujian yang pernah dilakukan. Terdapat 3 fitur aplikasi yang sudah terimplementasi yaitu pelaksanaan ujian online, penilaian otomatis, dan laporan. Hasil pengujian penilaian otomatis masih menunjukkan akurasi yang belum optimal, sehingga masih harus dikembangkan. Aplikasi ini dibangun berdasarkan pada studi kasus di Madrasah Aliyah Negeri Cimahi dan diharapkan dapat dimanfaatkan di sekolah lainnya.
MSE Tail Analysis for Remote State Estimation of Linear Systems Over Multiantenna Random Access Channels

In this article, we consider the Kalman filter (KF)-based state estimation in the multisensor networked control systems. The sensors communicate plant state observations to a remote state estimator over a multiantenna random access network, resulting in random fading in measurements and rank-deficient observation updates in KF. In contrast to the conventional literature where average state estimation mean-square-error (MSE) is adopted as the estimation performance measure, we analyze the state estimation MSE tail distribution which guarantees fine-grained characterizations of the MSE sample path. We developed various sufficient conditions for the well behaved tail distribution of the MSE. Specifically, we propose the observable and unobservable cone decomposition of the transformed coordinate system induced by the singular value decomposition of the measurement matrix, which enables us to overcome the limitation of MSE analysis with rank deficient measurement matrix. In the noiseless plant case, we establish the sufficient condition such that the state estimation MSE is a supermartingale in high SNR regime. Via martingale convergence theorems, we show that the state estimation MSE is almost surely stable, which results in outlier-free MSE sample path. In the noisy plant case, we show that the state estimation MSE is uniformly upper bounded by a Markov chain in high SNR regime. We establish a sufficient condition for the existence of the steady-state distribution of the Markov chain. Via analyzing the stochastic fixed point equation associated with the stationary distribution of the Markov chain, we provide the closed-form expression for the MSE tail probability. We further established a power law that provides closed-form characterizations of the tradeoff between the communication resource and the MSE tail decay rate, where more communication resource consumption leads to faster exponential decaying MSE tail. We also recover the results in the existing literature when applying our developed theory to the scalar systems.
Interlaminar shear property and high-velocity impact resistance of CFRP laminates after cyclic hygrothermal aging

Abstract T700/TDE-85 composites were aged in cyclic hygrothermal tests in accordance with the service environment of military aircraft, and the variations in interlaminar shear strength (ILSS) and ballistic impact resistance during the aging cycles were determined. It was found that cycling hygrothermal aging induced the damage of the resin surface, long cracking along the fibre/matrix interface, and interlayer interface due to the combined action of swelling stress and thermal stress. ILSS first increased by 12.4% after 14 cycles due to the plasticising effect and then reduced due to the damage caused to the fibre/matrix interface. The critical energy absorption after 280 cycles was 15.6% higher than that of the unaged composite, suggesting the improvement effect of cyclic hygrothermal aging on the impact performance from the aspects of energy absorption and ballistic limit. The maximum energy absorption was achieved by the specimen aged for 70 cycles. Cyclic hygrothermal aging altered the damage morphology and failure modes dramatically. The unaged composite target had the lowest delamination area among all impact velocities, which explains the improvement in impact resistance and energy absorption capability after cyclic hygrothermal aging.
Fast piezoelectric scanning MEMS mirror for 1D ion addressing

We present a small-scale piezoelectric MEMS micromirror, with resonant frequencies above 300 kHz for 1D scanning. The device is intended for higher frequency operation by reducing the scale of existing designs, and was fabricated using a multi-user silicon-on-insulator process. The performance of the mirror for addressing points along one axis was demonstrated using a free-space optics experimental setup.
A Quasi-Magnetic-Electric Circularly Polarized Antenna With Wide Bandwidth

A new quasi-magnetic-electric circularly polarized (CP) patch antenna with a wide bandwidth is proposed. The proposed antenna has a low-profile structure with a single feed and provides CP radiation with a stable gain. It consists of a shorted bowtie patch antenna that works as an equivalent magnetic current source and a bowtie dipole that acts as an electric current source. With a single feed, the two orthogonal current sources are combined to generate a circular polarization. For the proposed antenna, measurement results show that an impedance bandwidth of 31.7% and a 3 dB axial-ratio bandwidth of 15.3% are achieved. The antenna has a gain of about 7 dBic in the band of interest and a cross-polarization level of about −19 dB at the central frequency.
On evolution quasi-variational inequalities and implicit state-dependent sweeping processes

In this paper, we study a variant of the state-dependent sweeping process with velocity constraint. The constraint \begin{document}$ {C(\cdot, u)} $\end{document} depends upon the unknown state \begin{document}$ u $\end{document} , which causes one of the main difficulties in the mathematical treatment of quasi-variational inequalities. Our aim is to show how a fixed point approach can lead to an existence theorem for this implicit differential inclusion. By using Schauder's fixed point theorem combined with a recent existence and uniqueness theorem in the case where the moving set \begin{document}$ C $\end{document} does not depend explicitly on the state \begin{document}$ u $\end{document} (i.e. \begin{document}$ C: = C(t) $\end{document} ) given in [ 4 ], we prove a new existence result of solutions of the quasi-variational sweeping process in the infinite dimensional Hilbert spaces with a velocity constraint. Contrary to the classical state-dependent sweeping process, no conditions on the size of the Lipschitz constant of the moving set, with respect to the state, is required.
Compressive Sensing in Wireless Powered Network: Regarding Transmission as Measurement

With large numbers of nodes applied in wireless powered network (WPN), it becomes a great challenge for the orthogonal multi-access (OMA) schemes to collect data. In this letter, a novel WPN based on compressive sensing (CS) is proposed, which utilizes the sparsity of data and regards transmission as measurement. It collects the coherent measurements of sensing data from the concurrent transmission of all nodes and then recovers the sensing data by CS reconstruction algorithm, which indeed accelerates data collection. Compared with the WPN based on OMA, the proposed WPN is always superior on delay and owns higher collecting rate with the conditions of linear and sub-linear sparsity case satisfied. Further, when the allocation strategy is adjustable, a joint optimization of time and power is proposed based on maximizing the collecting rate. Simulation results illustrate the superiority of the proposed WPN.
Programming Protocol-Independent Packet Processors High-Level Programming (P4HLP): Towards Unified High-Level Programming for a Commodity Programmable Switch

Network algorithms are building blocks of network applications. They are inspired by emerging commodity programmable switches and the Programming Protocol-Independent Packet Processors (P4) language. P4 aims to provide target-independent programming neglecting the architecture of underlying infrastructure. However, commodity programmable switches have tight programming restrictions due to limited resources and latency. In addition, manufacturers tailor P4 according to their architecture, putting more restrictions on it. These intrinsic and extrinsic restrictions dilute the goal of P4. This paper proposes P4 high-level programming (P4HLP) framework, a suite of toolchains that simplifies P4 programming. The paper highlights three aspects: (i) E-Domino, a high-level programming language that defines both stateless and stateful processing of data plane in C-style codes; (ii) P4HLPc, a compiler that automatically generates P4 programs from E-Domino programs, which removes the barrier between high-level programming and low-level P4 primitives; (iii) modular programming that organizes programs into reusable modules, to enable fast reconfiguration of commodity switches. Results show that P4HLPc is efficient and robust, thus is suitable for data plane high-level programming. Compared with P4, E-Domino saves at least 5.5× codes to express the data plane algorithm. P4HLPc is robust to policy change and topology change. The generated P4 programs achieve line-rate processing.
Pattern Synthesis via Complex-Coefficient Weight Vector Orthogonal Decomposition--Part II: Robust Sidelobe Synthesis

In this paper, the complex-coefficient weight vector orthogonal decomposition ($ \textrm{C}^2\textrm{-WORD} $) algorithm proposed in Part I of this two paper series is extended to robust sidelobe control and synthesis with steering vector mismatch. Assuming that the steering vector uncertainty is norm-bounded, we obtain the worst-case upper and lower boundaries of array response. Then, we devise a robust $ \textrm{C}^2\textrm{-WORD} $ algorithm to control the response of a sidelobe point by precisely adjusting its upper-boundary response level as desired. To enhance the practicality of the proposed robust $ \textrm{C}^2\textrm{-WORD} $ algorithm, we also present detailed analyses on how to determine the upper norm boundary of steering vector uncertainty under various mismatch circumstances. By applying the robust $ \textrm{C}^2\textrm{-WORD} $ algorithm iteratively, a robust sidelobe synthesis approach is developed. In this approach, the upper-boundary response is adjusted in a point-by-point manner by successively updating the weight vector. Contrary to the existing approaches, the devised robust $ \textrm{C}^2\textrm{-WORD} $ algorithm has an analytical expression and can work starting from an arbitrarily-specified weight vector. Simulation results are presented to validate the effectiveness and good performance of the robust $ \textrm{C}^2\textrm{-WORD} $ algorithm.
Numerical investigation of the effects of coupled radiative heat transfer on free turbulent jets of water vapor

Radiation plays an important role in a broad range of thermal engineering applications comprising turbulent flows. The growing need for accurate and reliable numerical simulations to support the design stages of such applications is the main motivation of this thesis.Of special interest in this work are the free-shear flows and the fundamental understanding of how radiation can modify their fluid dynamics and heat trans- port as well as how their turbulence fluctuations can alter radiative transfer. The goal of this thesis is to provide high-fidelity data of turbulent free jets coupled with thermal radiation in order to develop and validate free-shear turbulent models accounting for coupling interactions. To this end, turbulent free jets are described by direct numerical simulations (DNS) coupled to a reciprocal Monte- Carlo method to solve the radiative transfer equation. The spectral dependency of the radiative properties is accounted for with an accurate Correlated-k (ck) method. The numerical study is carried out with state-of-the-art fidelity to be as representative as possible of an actual jet in a participating medium. The simulation is optimized in terms of processing time taking advantage of an acceleration method called Acoustic Speed Reduction and by injecting artificial turbulence to enhance inlet boundaries.Two direct simulations of heated jets coupled with thermal radiation are carried out. On the one hand, a heated jet with moderate radiation is simulated. The analysis of its high-fidelity coupled DNS data has allow to derive a new scaling law for the decay of the temperature profile. This scaling accounts for the effects of modified density due to moderate radiation. Moreover, it allows for distinguishing whether thermal radiation modifies the nature of heat transfer mechanisms in the jet developed region or not. On the other hand, a strongly heated free jet is computed in order to quantify the effects of radiation on mean temperature and velocity fields as well as on second order moments.Besides the coupled DNS data, a RANS solver for variable-density flows coupled with thermal radiation has been implemented during the course of this thesis. The goal is to directly quantify the accuracy of the existing turbulent models, and to identify key parameters for further modeling of coupling interactions.
Shared-Surface Dual-Band Antenna for 5G Applications

A shared-surface dual-band antenna is proposed for 5G operation using characteristic mode analysis (CMA). The surface is the integration of a metasurface at the <inline-formula> <tex-math notation="LaTeX">${S}$ </tex-math></inline-formula>-band and a partially reflective surface (PRS) at the <italic>Ka</italic>-band. The resonant mode of the metasurface is excited by a microstrip-fed slot, and the PRS with a pair of substrate-integrated waveguide (SIW)-fed slots are employed to form a Fabry–Perot resonator antenna (FPRA). Measurements realized on a physical prototype of the antenna show a 10 dB impedance bandwidth of 23.45% and 9.76% and a realized gain that varies from 7.27 to 10.44 dBi and from 11.8 to 14.6 dBi, over the <inline-formula> <tex-math notation="LaTeX">${S}$ </tex-math></inline-formula>-band (3.2–4.05 GHz) and the <italic>Ka</italic>-band (26.8–29.55 GHz), respectively.