Miracle-dz/UniFAR-FTUs huggingface dataset:
New Synchronization Criterion of Incommensurate Fractional-Order Chaotic Systems

The synchronization of fractional-order (FO) chaotic systems has received much attention in recent years. However, most research was focused on FO commensurate systems. In this brief, the synchronization of incommensurate fractional-order (IFO) chaotic systems is addressed. By employing the linear feedback control method, a new sufficient condition is proposed to ensure the synchronization of IFO chaotic systems. Compared with other approaches reported in the literature, the new method depends just on the system’s parameters, is easier to implement in engineering practice, applies to systems with FO in the interval (0, 2), and is still valid for synchronizing IFO chaotic systems of irrational order. The effectiveness of the theoretical findings is illustrated by numerical simulations using two IFO chaotic systems.
Approche par modes de flux de puissance pour la conception robuste d'interfaces de structures

A procedure based on a power flow mode theory is presented to optimize the power flow dissipated at the junctions between substructures. These modes are derived from an eigenproblem associated to the minimization of an energy operator requiring the computation of the dynamic flexibility matrix, which remains prohibitive in a robust design context. A genetic algorithm is thus coupled to an approximate reanalysis method to determine junction parameter values which are both optimal and robust with regard to uncertainties. Mots clefs : Transferts vibratoires ; puissance dissipee ; optimisation robuste
Differential Effects of Acute Cadmium, Copper, and Chromium Assault on Glutathione and Transcription Profiles in Saccharomyces cerevisiae

Heavy metal assault in Saccharomyces cerevisiae results in increased oxidative stress, resulting in direct damage to proteins, lipid membranes and nucleic acids; even after relatively short (>1hr) exposures. Such effects are mitigated and potentially exacerbated by changes in intracellular metabolic pathways, causing a variety of responses. Synthesis and recycling of glutathione within the cell (a major metabolic cycle which minimizes oxidative stress) is especially influenced by exposure to heavy metals depending on the type. Redox active metals (copper and chromium (VI)), influence the oxidative stress of the cell by affecting GSH/GSSG pools, while the redox inactive metal (cadmium) appears to lead to a major increase in glutathione production. Supplementation of cells with mixed amino acids (FFAAP) provides an exogenous source of the building blocks for glutathione, has a recuperative effect on all cells, leading to a decrease in oxidative stress and a lowering of total glutathione and/or normalizing GSH/GSSG pools. INDEX WORDS: Saccharomyces cerevisiae, Glutathione, Reactive oxygen species (ROS), GSH/GSSG, Free form amino acid precursors (FFAAP), cadmium, copper, chromium (IV). DIFFERENTIAL EFFECTS OF ACUTE CADMIUM, COPPER, AND CHROMIUM ASSAULT ON GLUTATHIONE AND TRANSCRIPTION PROFILES IN SACCHAROMYCES CEREVISIAE
Drivers controlling black carbon temporal variability in the lower troposphere of the European Arctic

Abstract. Black carbon (BC) is a short-lived climate forcer affecting the Arctic climate through multiple mechanisms, which vary substantially from winter to summer. Several models still fail in reproducing BC seasonal variability, limiting the ability to fully describe BC climate implications. This study aims at gaining insights into the mechanisms controlling BC transport from lower latitudes to the Arctic lower troposphere. Here we investigate the drivers controlling black carbon daily and seasonal variability in the Arctic using generalized additive models (GAMs). We analysed equivalent black carbon (eBC) concentrations measured at the Gruvebadet Atmospheric Laboratory (GAL – Svalbard archipelago) from March 2018 to December 2021. The eBC showed a marked seasonality with higher values in winter and early spring. The eBC concentration averaged 22 ± 20 ng m−3 in the cold season (November–April) and 11 ± 11 ng m−3 in the warm season (May–October). The seasonal and interannual variability was mainly modulated by the efficiency of wet scavenging removal during transport towards higher latitudes. Conversely, the short-term variability was controlled by boundary layer dynamics as well as local-scale and synoptic-scale circulation patterns. During both the cold and warm seasons, the transport of air masses from Europe and northern Russia was an effective pathway for the transport of pollution to the European Arctic. Finally, in the warm season we observed a link between the intrusion of warm air from lower latitudes and the increase in eBC concentration. Changes in the synoptic-scale circulation system and precipitation rate in the Northern Hemisphere, linked to climate change, are expected to modify the BC burden in the Arctic.
The Relationship Between EFQM Recognition System and Management Maturity

The EFQM recognition system is an acknowledged method of assessing business excellence understood as the degree of implementation of quality management in an organization. The paper aims to examine whether a high rating under the EFQM recognition system simultaneously means a high general management maturity level. The investigation covers the 35 organizations that won EFQM awards in Portugal. The study is based on points awarded to organizations under the EFQM recognition system and on questionnaires/interviews with managers responsible for quality management in the studied organizations. The results indicate a positive and robust correlation between the quality management implementation (rating under the EFQM recognition system) and general management maturity. The study helps to close the gap in the literature regarding the relationship between quality management and management maturity in an organization.
Tecnologias De Engenharia de Software para o Desenvolvimento de Sistemas de Saúde de Código Aberto: um Mapeamento Sistemático da Literatura

Este artigo investiga as tecnologias de engenharia de software (ES) usadas durante o desenvolvimento de sistemas de saúde de código aberto (SSCAs) por meio de um mapeamento sistemático da literatura. O mapeamento resultou na seleção de 67 estudos a partir de buscas em quatro bibliotecas digitais. Os resultados indicaram que as principais tecnologias de ES utilizadas são padrões e modelos de representação e transmissão de dados de saúde. Além disso, os resultados permitiram obter uma visão geral sobre o desenvolvimento, a disponibilização e a aplicabilidade dos SSCAs.
Classification of Potentially Hazardous Asteroids Using Supervised Quantum Machine Learning

Quantum computing (QC) and quantum machine learning (QML) are emerging technologies with the potential to revolutionize the way we approach complex problems in mathematics, physics, and other fields. The increasing availability of data and computing power has led to a rise in using Artificial Intelligence (AI) to solve real-time problems. In space science, employing AI-based approaches to address various challenges, including the potential risks posed by asteroids, is becoming increasingly necessary. Potentially Hazardous Asteroids (PHAs) can cause significant harm to humans and biodiversity through wind blasts, overpressure shock, thermal radiation, cratering, seismic shaking, ejecta deposition, and even tsunamis. Machine Learning (ML) algorithms have been employed to detect hazardous asteroids based on their parameters. Still, there are limitations to the current techniques, and the results have reached a saturation point. To address this issue, we propose a Quantum Machine Learning (QML)-based approach for asteroid hazard prediction, employing Variational Quantum Circuits (VQC) and PegasosQSVC algorithms. The proposed work aims to leverage the quantum properties of the data to improve the accuracy and precision of asteroid classification. Our study focuses on the impact of PHAs, and the proposed supervised QML-based method aims to detect whether an asteroid with specific parameters is hazardous or not. We compared several classification algorithms and found that the proposed QML-based approach employing VQC and PegasosQSVC outperformed the other methods, with an accuracy of 98.11% and an average F1-score of 92.69%.
PEMETAAN SPASIAL KEJADIAN COVID-19 BERDASARKAN FAKTOR PEJAMU DI KABUPATEN MINAHASA SELATAN

Latar Belakang : Penyakit COVID-19 merupakan penyakit menular yang telah menjadi permasalahan global. Provinsi Sulawesi Utara pada tahun 2020 memiliki 6 Kabupaten/Kota yang dinyatakan sebagai wilayah transmisi lokal, termasuk Kabupaten Minahasa Selatan. Jumlah kasus COVID-19 di Kabupaten Minahasa Selatan per tanggal 12 November 2020 menduduki peringkat 6 dari 16 Kabupaten/Kota yang ada di Sulawesi Utara. Tujuan penelitian ini ialah untuk mengetahui gambaran spasial distribusi dan faktor pejamu terhadap kejadian COVID-19 di Kabupaten Minahasa Selatan. Metode : Penelitian observasional deskriptif dilakukan menggunakan pendekatan Sistem Informasi Geografis (SIG) pada 421 kasus di Kabupaten Minahasa Selatan. Variabel dalam penelitian ini ialah kejadian COVID-19 di Kabupaten Minahasa Selatan berdasarkan jenis kelamin, usia, tanggal onset gejala, tanggal terkonfirmasi, riwayat kontak erat, dan penyakit komorbid (hipertensi dan diabetes melitus). Data dianalisis menggunakan Quantum GIS dalam memetakan (mapping) serta menampilkan informasi keruangan. Hasil pengolahan data spasial disajikan dalam bentuk gambar peta wilayah berdasarkan variabel. Hasil : Kejadian COVID-19 di Kabupaten Minahasa Selatan lebih banyak ditemukan pada responden berjenis kelamin perempuan dan kelompok usia di atas 54 tahun. Bulan Desember Tahun 2020 merupakan waktu kejadian tertinggi ditemukannya kasus onset dan terkonfirmasi COVID-19. Sebagian besar responden tidak memiliki komorbid Hipertensi dan DM. Kesimpulan : Perlu diadakan edukasi tentang perilaku masyarakat dalam pencegahan penularan COVID-19 yaitu menggunakan masker saat beraktivitas di luar rumah, menjaga jarak (social distancing), mencuci tangan dengan sabun dan air mengalir, serta melengkapi status vaksinasi COVID-19 hingga vaksin dosis lanjutan (booster) di Kabupaten Minahasa Selatan.
Exponential ergodicity of CIR interest rate model with random switching

In this paper, we consider ergodicity of Cox–Ingersoll–Ross (CIR) interest rate model with random switching. First, we show that the CIR model with switching has a unique stationary distribution. Next, we prove that the transition semigroup for the CIR model with switching converges to the stationary distribution at an exponential rate in the Wasserstein distance. Moreover, under two particular cases, the explicit expressions for stationary distributions are presented. Finally, the central limit theorem for the CIR model with random switching is established.
PHYSICOCHEMICAL SCREENING; IDENTIFICATION OF ANTICANCER, ANTIBACTERIAL AND ANTIOXIDANT PRINCIPLES BY FRACTIONATION AND GC- MS PROFILING OF FRUITS OF GUAIACUM OFFICINALE L.

The present work is an attempt to find out biological potential of various extracts and ethanol fractions of Guaiacum officinale L. Sequential extraction was performed with different solvents. One of the active extracts (ethanol) was fractionated by column chromatography and the other (n-hexane) was profiled by GC-MS. The antimicrobial potential was tested against pathogenic bacteria by a well diffusion process and only one strain (S. aureus) displayed a significant resistance against different samples. For the cytotoxic effect, MTT assay was used on normal (BHK) and cancerous (HepG2) cell lines. n-Hexane, chloroform and ethanol extracts showed IC50 at 3.38, 3.56 and 2.607 mg/ml respectively. Furthermore, two fractions (i.e. F=2 and 3) fractions showed significant IC50 at 74.9 and 130.8 μg/ml respectively compared to the standard (Cisplatin, IC50 =16 μg/ml). No toxic effect was experienced against the normal cell line, showing it is safe in cancer therapy. The DPPH analysis revealed a significant antioxidant potential of the plant like n-hexane, chloroform and ethanol represented 68.67%, 73.00% and 77.67% RSA respectively, whereas F=1 to F=7 along with ascorbic acid showed moderate to less antioxidant effect, i.e. 55.93%, 68.56%, 50.19%, 9.64%, 28.40%, 12.63%, 32.54%, and 81.53%, correspondingly. Based on the above findings, it is highly recommended for further purification, isolation and identification of biomolecules from fruits of G. officinale as a possible extension of the present project.
A SIMPLE ANALYSIS OF THE TUBULAR PINCH DISCHARGE

This report gives a simple analysis of the tubular pinch discharge as a circuit element based on the assumptions of cylindrical symmetry and small deviations from equilibrium. External observables, such as voltage and currents, may be interpreted under these assumptions in terms of plasma thickness and plasma motion, and therefore may be used for temperature and pressure estimates. The analysis is applied to an example of actual oscilloscopically observed signals.
Complex in a Simple Delayed Discrete Neural Network

In this paper, we show that a delayed discrete Hopfield neural network of two identical neurons with no self-connections can demonstrate chaotic behavior away from the origin. To this end, we first transform the model, by a novel way, into an equivalent system which enjoys some nice properties, and construct chaotic invariant sets of this system such that the dynamics is conjugate to the shift with two symbols. This is complementary to the results in Huang and Zou (J. Nonlinear Sci.,15(2005), 291-303), where it was shown that the same system can have chaotic behavior near the origin.
Deployment of Threshold Signatures for Securing Bitcoin Transactions

—Blockchain technology, especially Bitcoin, has revolutionized how we think about and manage financial transactions. However, with the increasing demand and usage of blockchain technology, the security of cryptocurrency wallets has become a critical concern. Threshold signatures offer a promising solution to this problem, allowing multiple parties to sign a transaction without revealing their private keys. This article presents an Android mobile Bitcoin wallet application that uses Schnorr-based threshold signatures. The application also deploys smartwatch integration for enhanced security and usability. This integration provides an additional layer of security by requiring physical confirmation from the user before approving any transaction. Our implementation provides a secure and efficient platform for managing Bitcoin assets using threshold signatures while also providing an intuitive and easy-to-use interface for interacting with the application.
Analysis of rotational motion measurement based on HS algorithm

In micro aircraft design and testing, as well as motor and rotational motion monitoring, it will need to achieve a noncontact detection for rotational motion. HS (Horn and Schunck) algorithm is deduced under the premise that adjacent image intervals and the little change of image gray. HS algorithm is an optical flow calculation method that based on the image in the global smooth constraint. This paper propose an indicator that is used to characterize the optical flow field, and analyze the feasibility of the HS algorithm for the rotational motion measurement.
A Generic Trap Generation Framework for MOSFET Reliability—Part I: Gate Only Stress–BTI, SILC, and TDDB

The Reaction-Diffusion-Drift model is validated as a trap generation framework during Bias Temperature Instability (BTI), Stress Induced Leakage Current (SILC), and Time Dependent Dielectric Breakdown (TDDB) experiments. The model is implemented in standalone and Technology CAD (TCAD)-based deterministic and standalone stochastic versions. Different implementations show equivalence of the time kinetics of trap generation during stress and trap passivation after stress. The trigger for different type of experiments is introduced via a single reaction parameter. The model is validated against measured data under diverse experimental conditions, either solely, or along with other models to account for additional physical processes. A circuit simulation platform that uses the physical trap generation model is utilized to estimate activity aware aging in logic circuits due to BTI. The error associated with effective AC duty simulation is shown. Implementation and validation for the Hot Carrier Degradation (HCD) is presented in part-II of this article.
Characterization of Non-Linearized Spacecraft Relative Motion using Nonlinear Normal Modes

Abstract : Characterize the nonlinear dynamics for large amplitude relative motion in the Hill frame (or curvilinear frame) in terms of Nonlinear Normal Modes for the case of a circular chief orbit. Characterize the nonlinear dynamics for nonlinear translational rotational coupling of relative motion in terms of Nonlinear Normal Modes. Characterize the nonlinear dynamics for an elliptic Keplerian chief orbit in terms of time periodic Nonlinear Normal Modes using the Liapunov-Floquet transformation. If time permits, investigate the relative navigation problem in the Nonlinear Normal Modes NNMs framework, using the strategies outlined above.
An Analysis of Running Impact on Different Surfaces for Injury Prevention

The impact that occurs on the runner’s foot when it lands on the ground depends on numerous factors: footwear, running technique, foot strike and landing pattern, among others. However, the surface is a decisive factor that can be selected by the runner to improve their sports practice, thereby avoiding injuries. This study aimed to assess the number and magnitude of accelerations in impact (produced by the runner when their foot strikes the ground) on three different surfaces (grass, synthetic track, and concrete) in order to know how to prevent injuries. Thirty amateur runners (age 22.6 ± 2.43 years) participated in the study. They had to run consecutively on three different surfaces at the same speed, with a three axis-accelerometer placed on the sacrum and wearing their own shoes. The results showed that the running impacts differed based on the type of surface. Higher mean acceleration (MA) and mean peak acceleration (PA) in the impacts were observed on concrete compared to the other two surfaces. There were small differences for MA: 1.35 ± 0.1 g (concrete) vs. 1.30 ± 0.1 g (synthetic track) SD: 0.43 (0.33, 0.54) and 1.30 ± 0.1 g (grass) SD: 0.36 (0.25, 0.46), and small differences for PA: 3.90 ± 0.55 g (concrete) vs. 3.68 ± 0.45 g (synthetic track) SD 0.42 (0.21, 0.64) and 3.76 ± 0.48 g (grass) SD 0.27 (0.05, 0.48), implying that greater impacts were produced on concrete compared to synthetic track and grass. The number of peaks of 4 to 5 g of total acceleration was greater for concrete, showing small differences from synthetic track: SD 0.23 (−0.45, 0.9). Additionally, the number of steps was higher on synthetic track (34.90 ± 2.67), and small differences were shown compared with concrete (33.37 ± 2.95) SD 0.30 (−0.25, 0.85) and with grass (35.60 ± 3.94) SD 0.36 (−0.19, 0.91). These results may indicate a change in technique based on the terrain. Given the increasing popularity of running, participants must be trained to withstand the accelerations in impact that occur on different surfaces in order to prevent injuries.
Toward laboratory torsional spine magnetic reconnection

Magnetic reconnection is a fundamental energy conversion mechanism in nature. Major attempts to study this process in controlled settings on Earth have largely been limited to reproducing approximately two-dimensional (2-D) reconnection dynamics. Other experiments describing reconnection near three-dimensional null points are non-driven, and do not induce any of the 3-D modes of spine fan, torsional fan or torsional spine reconnection. In order to study these important 3-D modes observed in astrophysical plasmas (e.g. the solar atmosphere), laboratory set-ups must be designed to induce driven reconnection about an isolated magnetic null point. As such, we consider the limited range of fundamental resistive magnetohydrodynamic (MHD) and kinetic parameters of dynamic laboratory plasmas that are necessary to induce the torsional spine reconnection (TSR) mode characterized by a driven rotational slippage of field lines – a feature that has yet to be achieved in operational laboratory magnetic reconnection experiments. Leveraging existing reconnection models, we show that within a ${\lesssim}1~\text{m}^{3}$ apparatus, TSR can be achieved in dense plasma regimes ( ${\sim}10^{24}~\text{m}^{-3}$ ) in magnetic fields of ${\sim}10^{-1}~\text{T}$ . We find that MHD and kinetic parameters predict reconnection in thin ${\lesssim}20~\unicode[STIX]{x03BC}\text{m}$ current sheets on time scales of ${\lesssim}10~\text{ns}$ . While these plasma regimes may not explicitly replicate the plasma parameters of observed astrophysical phenomena, studying the dynamics of the TSR mode within achievable set-ups signifies an important step in understanding the fundamentals of driven 3-D magnetic reconnection and the self-organization of current sheets. Explicit control of this reconnection mode may have implications for understanding particle acceleration in astrophysical environments, and may even have practical applications to fields such as spacecraft propulsion.
DEM BASED COMPUTATION OF TOPOGRAPHIC SURFACE ROUGHNESS TO REVEAL INCISION IN GILGIT-BALTISTAN,PAKISTAN

This research investigates interrelationship between landscape evolution and neotectonics in the Gilgit-Baltistan (GB) region based on surface roughness (SR). We analyzed the topographic surface features such as flat area, surface area and surface ratio using Shuttle RadaTopographic Mission-Digital Elevation Model (SRTM DEM) with a spatial resolution of 90 meters. The objective is to make a SR map and to identify areas influenced by neotectonics. The DEM based spatial distribution of slope gradients and slope orientations along with the aspect map were combined to portray the vertical dissection. Lower values of vertical dissection indicate relatively flat topographic basins which generally mean a region of with intermediate slope gradient and slope orientation. Areas with high vertical dissection values correspond to sharp changes in the slope gradients and slope orientations, which could be due to abrupt scrap edges (possibly neotectonic or lithological control). Higher vertical dissection values in GB are wide spread and are oriented SE- NW in Ghanche, Skardu, Hunza, Gilgit and northern Ghizer districts along Karakorum, South Pamirs and Hindu-Kush ranges. While a few higher roughness values are aligned NE- SW in Diamir and Gilgit districts along the Raikot Fault. The surface roughness map is capable of identifying deeply incised valleys, tectonic uplifts and depressions.
Perovskite single crystals: physical properties and optoelectronic applications

Single crystal is the most advantageous of the crystalline states of halide perovskites. It displays better optical and electrical capabilities than polycrystalline films and microcrystals due to their inherent structural advantages, such as free grain boundaries, long-range ordered structure, and high orientation. Single-crystal perovskite materials can theoretically enable optoelectronic devices with higher performance and stronger stability. In this review, the intrinsic physical properties of perovskite single crystals are analyzed. The most recent advances in single-crystal optoelectronic devices are reviewed, and the design principles of the devices under different application conditions are revealed. It provides potential solutions for remaining challenges, and it is expected to accelerate the development of perovskite based optoelectronic devices.