Miracle-dz/UniFAR-FTUs huggingface dataset:
One-Signed Harmonic Solutions and Sign-Changing Subharmonic Solutions to Scalar Second Order Differential Equations

Abstract Using a recent modified version of the Poincaré-Birkhoff fixed point theorem [19], we study the existence of one-signed T-periodic solutions and sign-changing subharmonic solutions to the second order scalar ODE u′′ + f (t, u) = 0, being f : ℝ × ℝ → ℝ a continuous function T-periodic in the first variable and such that f (t, 0) ≡ 0. Partial extensions of the results to a general planar Hamiltonian systems are given, as well.
Design of New Microstrip Multiband Fractal Antennas: Sierpinski Triangle and Hexagonal Structures

This chapter presents two new microstrip multiband antennas based on fractal geometry. The purpose is to study the behaviour of structures when applying a fractal aspect. The first antenna is designed and optimized by using Sierpinski triangle technique, it’s validated in tne ISM “Industrial Scientific and Medical” band at 2.45 and 5.8 GHz bands which was designed to be suitable for wireless power transmission use, while the second proposed antenna structure is based on the hexagonal geometry, it’s validated and tested for DCS (Digital Cellular System) at 1.8 GHz, for 2.45 GHz and for 5.8 GHz, as an example of application wireless mobile system is an application field.
Symmetry-Breaking Cilia-Driven Flow in Embryogenesis

The systematic breaking of left–right body symmetry is a familiar feature of human physiology. In humans and many animals, this process originates with asymmetric fluid flow driven by rotating cilia, occurring in a short-lived embryonic organizing structure termed the node. The very low–Reynolds number fluid mechanics of this system is reviewed; important features include how cilia rotation combines with tilt to produce asymmetric flow, boundary effects, time dependence, and the interpretation of particle tracking experiments. The effect of perturbing cilia length and number is discussed and compared in mouse and zebrafish. Whereas understanding of this process has advanced significantly over the past two decades, there is still no consensus on how flow is converted to asymmetric gene expression, with most research focusing on resolving mechanical versus morphogen sensing. The underlying process may be more subtle, probably involving a combination of these effects, with fluid mechanics playing a central role.
Pengaruh Budaya Organisasi Terhadap Inovasi Pada Perusahaan Teknologi: Studi Deskriptif Pada Startup XYZ Di Kota Bandung

Dalam lanskap teknologi yang serba cepat dan selalu berubah saat ini, peran budaya organisasi dalam mendorong inovasi telah menjadi bidang minat penting bagi perusahaan teknologi. Studi deskriptif ini menguji pengaruh budaya organisasi terhadap inovasi di XYZ Startup, sebuah perusahaan teknologi terkemuka yang berlokasi di Kota Bandung. Penelitian ini menggunakan pendekatan metode campuran, menggabungkan data kualitatif dari wawancara semi-terstruktur dan analisis dokumen dengan data kuantitatif dari survei karyawan dan metrik inovasi. Temuan mengungkapkan bahwa XYZ Startup memupuk budaya kewirausahaan yang ditandai dengan pengambilan risiko, kreativitas, dan komunikasi terbuka. Kepemimpinan visioner para pendiri berperan penting dalam membentuk budaya ini, menginspirasi karyawan untuk berpikir kreatif dan mengambil risiko yang telah diperhitungkan. Survei karyawan menunjukkan persepsi positif tentang budaya organisasi, dengan karyawan merasa diberdayakan untuk mengusulkan ide-ide baru dan memiliki kebebasan untuk bereksperimen. Metrik inovasi perusahaan menunjukkan peningkatan penting dalam peluncuran produk yang sukses, pengajuan paten, dan pengeluaran penelitian dan pengembangan, yang mencerminkan dampak nyata dari budaya pendukung pada hasil inovasi. Penelitian ini menggarisbawahi pentingnya budaya organisasi dalam mendorong inovasi dalam startup teknologi. Implikasi studi menunjukkan bahwa menumbuhkan budaya kewirausahaan, memberdayakan karyawan, mempromosikan kolaborasi, dan berinvestasi dalam penelitian dan pengembangan adalah strategi penting bagi perusahaan teknologi yang ingin meningkatkan kemampuan inovatif mereka.
Video as a Vehicle for Astronomy Education and Outreach

Video is an excellent vehicle for astronomy education and outreach. Usage patterns and user demographics are presented for short videos covering a variety of astronomy topics, delivered to public audiences from three websites, three YouTube channels, and three massive open online classes, or MOOCs. The data spans over a decade in some cases. The modality of the content ranges from short lecture presentations of sub-topics in astronomy to longer scripted pieces created by students to Q&A sessions held by the MOOC instructor with live audiences of 100-200. In the aggregate, the videos have attracted 1.2 million views, and those viewers have watched 77,300 hours of astronomy content. Most of the viewers are not based in the United States. Viewership rose dramatically at the outset of the COVID-19 pandemic and has not yet returned to pre-pandemic levels. The videos watched by lifelong learners taking a MOOC show a decline in usage as they progress through the online course. But on these YouTube channels, when viewers can choose among the topics, the most popular are cosmology and exoplanets. Suggestions are made for the effective ways to create and disseminate astronomy videos.
Towards Agent-Based Model Specification in Smart Grid: A Cognitive Agent-based Computing Approach

Smart grid can be considered as a complex network where each node represents generation unit, producer, and links represent transmission lines. Agent-based modeling (ABM) is a paradigm represents a complex system of autonomous agents and their interactions with each other. Previously, numbers of study have been presented in smart grid domain using ABM methodologies. However, these study lack in following any ABM specification approach. The purely text based specification tends to be ambiguous and make the model difficult to be replicated. In this paper, we present an ABM for smart grid using a combination of agent-based and complex network based approaches. Then we present ODD and DREAM specification approach for our ABM in the smart grid. We compare these two specification techniques qualitatively as well as quantitatively and conclude that DREAM approach is better than ODD in term of understanding and replicating ABM.
Entropy, energy, and entanglement of localized states in bent triatomic molecules

The dynamics of quantum entropy, energy, and entanglement is studied for various initial states in an important spectroscopic Hamiltonian of bent triatomic molecules H2O, D2O, and H2S. The total quantum correlation is quantified in terms of the mutual information and the entanglement by the concurrence borrowed from the theory of quantum information. The Pauli entropy and the intramolecular energy usually used in the theory of molecules are calculated to establish a possible relationship between both theories. Sections of two quantities among these four quantities are introduced to visualize such relationship. Analytic and numerical simulations demonstrate that if an initial state is taken to be the stretch- or the bend-vibrationally localized state, the mutual information, the Pauli entropy, and the concurrence are dominant-positively correlated while they are dominantly anti-correlated with the interacting energy among three anharmonic vibrational modes. In particular, such correlation is more distinct for the localized state with high excitations in the bending mode. The nice quasi-periodicity of those quantities in D2O molecule reveals that this molecule prepared in the localized state in the stretching or the bending mode can be more appreciated for molecular quantum computation. However, the dynamical correlations of those quantities behave irregularly for the dislocalized states. Moreover, the hierarchy of the mutual information and the Pauli entropy is explicitly proved. Quantum entropy and energy in every vibrational mode are investigated. Thereby, the relation between bipartite and tripartite entanglements is discussed as well. Those are useful for the understanding of quantum correlations in high-dimensional states in polyatomic molecules from quantum information and intramolecular dynamics.
Enabling Secure Data Integrity in Regenerating-Coding-Based Cloud Environment

A well-liked approach to distributed, effective, and profitable computation is called "cloud computing," in which shared, programmable resources are made available as a service through the Internet. The capacity to offer processing, storage, networks, along with other essential computing resources is referred to as cloud infrastructure as a service (IaaS) and is defined by the U.S. National Institute of Standards and Technology. The Future Internet (FI) architectures provide structures for assembling applications atop federated service primitives in order to handle networked cloud computing environments (NCE). This research introduces a hierarchical framework to investigate inter-domain resource mapping in a networked cloud environment. It suggests an Iterated Local Search (ILS) metaheuristic-based request splitting method and a Networked Cloud Mapping (NCM) method depending upon the approaches used to solve the intra-domain VNE problem. The suggested framework may be used to achieve a high degree of productivity across a significant volume of VN requests across networked cloud sizes including the least amount of processing time, according to thorough assessments.
A Bloom-Filter-Based Unique Address Checking Approach for DAG-Based Blockchain Systems

Winternitz one-time signature (WOTS) is a quantum-resistant signature mechanism that has been widely used in direct acyclic graph (DAG)-based blockchain systems. However, it needs to generate a unique private/public key pair for each transaction, which severely limits blockchain performance by performing a time-consuming unique address checking process when generating transactions. This article proposes a bloom-filter-based approach, called ABACUS, to optimize the unique address checking process in WOTS. In ABACUS, we separate the large address space into multiple small subspaces and apply bloom filters to perform uniqueness checking for all addresses in one subspace. Specifically, we propose a two-level address space mechanism to strike a balance between the checking efficiency and the memory/storage space overhead of the bloom filter design. A bucket-based scalable bloom filter (SBF) design is proposed to match the growth of used addresses with efficient I/O access by storing all sub-bloom-filters together in one bucket. To further reduce disk I/Os, ABACUS incorporates an in-memory write buffer and a read-only cache. To reclaim wasted addresses, we also propose a layered address recycling mechanism by efficiently checking and reusing unused addresses that were identified as used due to false positives of bloom filters. We have implemented a fully functional prototype of ABACUS and integrated it into IOTA, a widely used DAG-based blockchain system. A series of experiments have been conducted on a private IOTA system. Experimental results show that ABACUS can significantly reduce the transaction generation time by up to four orders of magnitude, and achieve up to $3\times $ boost on the system throughput with more than 80% space-saving. We have released the open-source code of ABACUS for public access.
Tunable auxetic properties in group-IV monochalcogenide monolayers

Negative Poisson's ratio (NPR) is a counterintuitive material elastic constant that can lead to many unusual auxetic properties. Here, using first-principles calculations, we report tunable negative Poisson's ratio in the out-of-plane direction in group-IV monochalcogenide monolayers $MX$ ($M=\text{Sn}$, Ge and $X=\text{S}$, Se). SnSe, GeS, and SnS monolayers have intrinsic NPR ${\ensuremath{\nu}}_{zx}$ ranging from $\ensuremath{-}0.004$ to $\ensuremath{-}0.210$ in armchair ($x$) tension, whereas GeSe monolayer possesses a much larger NPR ${\ensuremath{\nu}}_{zy}$ of $\ensuremath{-}0.433$ in zigzag ($y$) tension. Our analysis attributes the NPR effects to the relative position of $M$ and $X$ in the puckered structure and the smaller bending stiffness of $M\text{\ensuremath{-}}X\text{\ensuremath{-}}M$ bond angle. We further established the correlation between electronic structures of materials and their crystal structures. It allows us to fine tune GeSe structure via electron doping, leading to a reversible and continuous change of ${\ensuremath{\nu}}_{zy}$ from $\ensuremath{-}0.821$ up to 0.895. We also demonstrate the concept of strain engineering GeSe monolayer to switch its Poisson's ratio ${\ensuremath{\nu}}_{zx}$ between two different values: 0.583 and $\ensuremath{-}0.433$. Our in-depth study provides not only fundamental knowledge but also practical routes for designing 2D smart materials with tunable negative Poisson's ratio, which are desirable for smart devices at small scale.
An iterative local-updating ensemble smoother for high-dimensional inverse modeling with multimodal distributions

Ensemble smoother (ES) has been widely used in high-dimensional inverse modeling. However, its application is limited to problems where uncertain parameters approximately follow Gaussian distributions. For problems with multimodal distributions, using ES directly would be problematic. One solution is to use a clustering algorithm to identify each mode, which is not very efficient when the dimension is high or the number of modes is large. Alternatively, we propose in this paper a very simple and efficient algorithm, i.e., the iterative local updating ensemble smoother (ILUES), to explore multimodal distributions in high-dimensional problems. This algorithm is based on updating local ensembles of each sample in ES to explore possible multimodal distributions. To achieve satisfactory data matches in nonlinear problems, we adopt an iterative form of ES to assimilate the measurement multiple times. Five numerical case studies are tested to show the performance of the proposed method. The first example is a low-dimensional problem that has infinite modes in the posterior distribution, which is used to illustrate the basic ideas of the proposed method. The second example is similar to the first one, but it is in a high-dimensional setting. To show its applicability in practical problems, we test the ILUES algorithm with three inverse problems in hydrological modeling that have multimodal prior distribution, multimodal posterior distribution and a large number of unknown parameters, respectively.
Non-parametric Estimation of Evolution of the Quasar Luminosity Function

Parametric analyses of the quasar luminosity function (QLF) commonly assume a double-power-law (DPL) parametric model undergoing luminosity and/or density evolution with redshift. The best-fit DPL models tend to favor luminosity evolution with break luminosity evolving close to a curve of constant flux on the absolute magnitude–redshift parameter space, at least up to redshift z ∼ 2. While such evolution may be intrinsic to the population, it can also be explained by a bias affecting DPL models fit to truncated data sets. Non-parametric analyses may avoid this bias; however, the most common non-parametric procedures do not provide direct estimates of QLF evolution. This work discusses three non-parametric estimators designed to estimate QLF evolution. When applied to the extended Baryon Oscillation Spectroscopic Survey data set, these estimators indicate a somewhat slower evolution than has been reported for DPL-based parametric analyses.
High energy gamma-ray astronomy observations of Geminga with the VERITAS array

The closest known supernova remnant and pulsar is Geminga. The Geminga pulsar is the first pulsar to have ever been detected initially by gamma rays and the first pulsar in a class of radio-quiet pulsars. In 2007, the Milagro collaboration detected a large angularly extended (∼ 2.6) emission of high energy gamma rays (∼ 20 TeV ) that was positionally coincident with Geminga. The Very Energetic Radiation Imaging Telescope Array System (VERITAS) is a groundbased observatory with four imaging Cherenkov telescopes with an energy range between 100 GeV to more than 30 TeV. The imaging Cherenkov telescopes detect the Cherenkov light from charged particles in electromagnetic air showers initiated by high energy particles such as gamma rays and cosmic rays. Most gamma-ray sources detected by VERITAS are point like sources, which have an angular extension smaller than the angular resolution of the telescopes (∼ 0.1). For a point source, the background noise can be measured in the same field of view (FOV) as the source. For an angularly extended object, such as Geminga, an external FOV from the source region must be used to estimate the background noise, to avoid contamination from the extended source region. In this dissertation, I describe a new analysis procedure that is designed to increase the observation sensitivity of angularly extended objects like Geminga. I apply this procedure to a known extended gamma-ray source, Boomerang, as well as Geminga. The results indicate the detection of very high energy emission from the Geminga region at the level of 4% of the Crab nebula with a weighted average spectral index of −2.8± 0.2. A possible extension less than one degree wide is shown. This detection, however, awaits a confirmation by the VERITAS collaboration. The luminosity of the Geminga extended source, the Vela Nebula, and the Crab nebula was calculated for energies greater than 1 TeV. The data suggest that older pulsars, such as Geminga and Vela, convert the spin-down power of the pulsar more efficiently to TeV energies than a younger pulsar such as the Crab pulsar. To my wife Amber, for enduring with me.
Prospective Teachers’ Barriers in Field Practice Experience

Teaching Practice Experience Program is one of the mandatory courses for all students of the faculty of education. This activity aims to provide real experience for students as prospective teachers. This study described prospective teachers' difficulties in practical teaching during their field practice experience program in Langsa, Aceh, Indonesia. This study applied a qualitative descriptive approach with a case study type of research. The participants were selected purposively. They were the seventh-semester students of the English Department who had conducted field practice experience consisting of 6 students. The data was collected through semi-structured interviews. The result revealed that among the barriers they encountered during their field practice experience were difficulties in facilitating a vibrant classroom atmosphere, teaching by using English, selecting and implementing appropriate methods or techniques, especially in teaching writing skills and challenges to execute lesson plans. Henceforth, this research contributes to enrich the literatures of field teaching practice and the barriers found, so it can be a valuable reference in the next research to provide the solution of the problems.
Artículos originales

En este trabajo se investigó la respuesta de linfocitos de memoria y la identificación de péptidos en la proteína Ll del virus del papiloma humano (VPH) responsables de la estimulación de estos linfocitos, en muestras de sangre de 44 individuos expuestos a la infección, distribuidos en cuatro grupos: mujeres sanas, trabajadoras sexuales, pacientes con neoplasia intracervical NIC y hombres. La expansión in vitro con interleuquina-2 (IL-2) representó una importante ventaja para evidenciar la respuesta de linfocitos de memoria, específicos contra el virus en la mayoria de individuos estudiados. Para investigar el estatus de la respuesta de estos linfocitos, se utilizaron células dendriticas (CDs) autólogas pulsadas con pseudo particulas virales (VLPs) construidas a partir de la proteína Ll del VPH-16 [VLPs VPH-16/L1] como células presentadoras del antígeno (APCs). El uso de CDs como APCs en este estudio nos permitió evidenciar por una parte una vigorosa producción de IFN-y por linfocitos de memoria en la mayoría de individuos estudiados y por otra descubrir un fenotipo supresor inducido por las CDs en la respuesta de linfocitos de memoria, específicos contra el virus detectable en especial en pacientes con NIC. La universalidad de la respuesta inmune celular ala proteína Ll, puesta en evidencia en nuestros resultados, quizás explique la alta eficacia protectora mostrada por las vacunas basadas en VLPs VPH-161L1, en experimentación por otros investigadores. 71breviatuiws utilizadas en el texto: virus del papiloma humano (VPH); pseudo partículas virales (VLPs); VLPs construidas de la proteína Ll del VPH serotipo 16 (VLPs VPH-161L1); linfocitos de sangre periférica (PBLs); índice de estimulación (IE); neoplasia intra cervical (NIC); células presentadoras del antígeno (APCs); interleuquina-2 (IL-2), células dendríticas humanas derivadas de monocitos de sangre periférica (CDs). linea celular de linfocitos T específica contra VLPs dependiente de IL-2 (TCLs).
Importance of Pattern Standard Deviation of Humphrey 10-2 Visual Field to Evaluate Central Visual Function in Patients with Early-Stage Glaucoma

To explore various parameters that can evaluate the central visual impairment in patients with early-stage glaucoma, we included patients into a study with central visual impairments with an MD value greater than −6.0 dB on the 24-2 VF test. A possible association between structural parameters acquired by OCT and functional parameters of VF and PERG was determined. A total of 70 eyes of patients with suspected glaucoma or NTG underwent VF, OCT, and PERG examinations. The patients were classified into two groups according to the MD of the 24-2 VF test. We used Pearson correlation analysis to evaluate the relationships between GCIPL thickness/RNFL thickness and visual functional parameters, such as PERG and perimetry. Linear regression analyses were conducted to evaluate the significant factors affecting the PSD of VF 10-2. In the low MD group, the P50 amplitude presented significant correlations (r = 0.346, p = 0.048) with GCIPL thickness. In the correlation analysis of the high MD group, it was found that only the PSD of 10-2 uniquely presented borderline significant correlations with GCIPL thickness (r = −0.327, p = 0.055), and no other functional parameter showed significant correlation. Univariate and multivariate analyses revealed that GCIPL thickness was significantly associated with a PSD of 10-2 VF (p < 0.001 and 0.013, respectively). Among various parameters, the P50 amplitude and 10-2 PSD demonstrated statistically borderline significant structure-function relationships with GCIPL thickness in early-stage glaucoma.