Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimising Fluvoxamine Maternal/Fetal Exposure during Gestation: A Pharmacokinetic Virtual Clinical Trials Study

Fluvoxamine plasma concentrations have been shown to decrease throughout pregnancy. CYP2D6 polymorphisms significantly influence these changes. However, knowledge of an optimum dose adjustment according to the CYP2D6 phenotype is still limited. This study implemented a physiologically based pharmacokinetic modelling approach to assess the gestational changes in fluvoxamine maternal and umbilical cord concentrations. The optimal dosing strategies during pregnancy were simulated, and the impact of CYP2D6 phenotypes on fluvoxamine maternal and fetal concentrations was considered. A significant decrease in fluvoxamine maternal plasma concentrations was noted during gestation. As for the fetal concentration, a substantial increase was noted for the poor metabolisers (PM), with a constant level in the ultrarapid (UM) and extensive (EM) metabolisers commencing from gestation week 20 to term. The optimum dosing regimen suggested for UM and EM reached a maximum dose of 300 mg daily at gestational weeks (GW) 15 and 35, respectively. In contrast, a stable dose of 100 mg daily throughout gestation for the PM is sufficient to maintain the fluvoxamine plasma concentration within the therapeutic window (60–230 ng/mL). Dose adjustment during pregnancy is required for fluvoxamine, particularly for UM and EM, to maintain efficacy throughout the gestational period.
BREIT–PAULI TRANSITION PROBABILITIES AND ELECTRON EXCITATION COLLISION STRENGTHS FOR SINGLY IONIZED SULFUR

New improved calculations are reported for transition probabilities and electron impact excitation collision strengths for the astrophysically important lines in S ii. The collision strengths have been calculated in the close-coupling approximation using the B-spline Breit–Pauli R-matrix method. The multiconfiguration Hartree–Fock method with term-dependent non-orthogonal orbitals is employed for an accurate representation of the target wave functions. The close-coupling expansion includes 70 bound levels of S ii covering all possible terms of the ground 3s23p3 and singly excited 3s3p4, 3s23p23d, 3s23p24s, and 3s23p24p configurations. The present calculations are more extensive than previous ones, leading to a total 2415 transitions between fine-structure levels. The effective collision strengths are obtained by averaging the electron collision strengths over a Maxwellian distribution of velocities and these are tabulated for all fine-structure transitions at electron temperatures in the range from 5000 to 100,000 K. The present results are compared with a variety of other close-coupling calculations and available experimental data. There is an overall good agreement with the recent 18-state calculations by Ramsbottom, Bell, & Stafford and with the 19-state calculations by Tayal for the most part, but some significant differences are also noted for some transitions.
Statistical analysis of a two-ellipsoid overlap test for real-time failure detection

Real-time failure detection for systems having linear stochastic dynamical truth models has been posed in terms of two confidence region sheaths in [1]-[3]. One confidence region sheath is about the expected nominal no-failure trajectory; the other is about the Kalman estimate of the state(s) being monitored for failures. The implementation of a necessary and sufficient test of whether these two confidence regions of elliptical cross section are disjoint at any time instant is shown to result in a scalar test statistic that is compared to a prespecified decision threshold at each check-time in making failure/no-failure decisions. The motivating theoretical basis of the test statistic is briefly discussed, the implementation equations and theoretical milestones previously encountered in guaranteeing algorithm convergence and establishing convergence rate are Summarized, then the details are presented for: 1) the derivation and analytic evaluation of the expressions for the probabilities of false alarm and correct detection that serve as a basis for subsequent tradeoffs in setting the threshold level; and 2) the derivation of an expression for the decision threshold and a technique for its calculation from the covariance of the Kalman filter. The probability of correct detection is shown to be a monotonely increasing function of the underlying fundamental signal-to-noise ratio response of the Kalman filter estimate of the failure mode state to a particular magnitude of failure. Real data results are provided to illustrate application of this technique for the two-dimensional case to detect failures in an inertial navigation system having two-degree-of-freedom gyros. This is the application for which the technique was developed.
Bulk-fin field-effect transistor-based capacitorless dynamic random-access memory and its immunity to the work-function variation effect

In this study, we developed a capacitorless dynamic random-access memory (DRAM) (1T-DRAM) device based on a junctionless (JL) bulk-fin field-effect transistor structure with excellent reliability and negligible variability against work-function variation (WFV). We investigated the variation in the transfer characteristics and memory performance of the memory cell owing to WFV. In particular, to investigate the WFV effect, we analyzed the transfer characteristics and memory performance of 200 samples using four metal-gate materials—TiN, MoN, TaN and WN. Consequently, we discovered that the WFV affected the transfer characteristics of the JL bulk-fin field-effect transistor. However, the proposed 1T-DRAM demonstrated that the sensing margin and retention time produced minimal effect owing to the adoption of a structure storing holes in the fin region. Consequently, the proposed 1T-DRAM exhibited strong WFV immunity and excellent reliability for memory applications.
The “Striated Delta” Cloud System–A Satellite Imagery Precursor to Major Cyclogenesis in the Eastern Australian-Western Tasman Sea Region

Abstract A distinctive upper-tropospheric cloud pattern, frequently a precursor to major extratropical cyclogenesis within the eastern Australian–western Tasman Sea region, has been identified from an examination of Geostationary Meteorological Satellite imagery. This cloud feature is usually triangular- (or delta-) shaped, approximately symmetrical, composed of cirrus level cloud tops, and associated with transverse banding. Thirty-seven of these cloud systems, referred to as “striated deltas” (SDs), were detected within the study region between 1980 and 1991. Approximately 75% of these were associated with the development of storms of at least gale force intensity within 24 h of formation of the SD. Most of these intense developments were characterized by a 12-h period of explosive deepening. Three types of SD development are observed. The cloud system usually forms as a discrete feature; this process can be either rapid or gradual. The SD can also form as a subcomponent of a major meridional cloud band.
Deuterium Effect on Stress-Induced Leakage Current

We have studied and compared stress-induced leakage current in oxides subjected to H2 and D2 annealing. There is not much difference in stress-induced leakage current between thick 70-Å-oxides annealed by these two isotopes. In sharp contrast, an improvement of several-fold in stress-induced leakage current is observed in 27-Å-thick oxides annealed in D2 ambient compared to that annealed in H2. The significant improvement in this direct-tunneling oxide may be due to the passivation of intrinsic defects and dangling bonds in a transition SiOx layer.
False Data Injection Attacks Detection in Real Smart Grid with Edge Computing

False Data Injection Attacks (FDIAs) pose great challenges to the security and stability of smart grid due to their stealthily distort measurement data. Excessively low data update frequency further makes it difficult to detect stealthy FDIAs. By taking the advantages of edge computing, it is possible to collect data adjacent to the terminals. In this work, we develop the Power Metering Edge Computing System (PMECS) that can collect data intensively and obtain the complete data from all terminals. A FDIAs detection scheme is implemented based on deep learning to achieve accurate detection of stealthy FDIAs using the real time data. Firstly, we demonstrate a data collection and stealthy FDIAs process in a smart grid with edge computing. Then, a deep learning based FDIAs detection scheme in edge computing is demonstrated. Experiment results verify that the implemented scheme can be applied to the real smart grid edge computing scenario for FDIAs detection.
Additional Diffusion-Weighted Imaging with Background Body Signal Suppression (DWIBS) Improves Pre-Therapeutical Detection of Early-Stage (pT1a) Glottic Cancer: A Feasibility and Interobserver Reliability Study

(1) Background: Early-stage glottic cancer is easily missed on magnetic resonance imaging (MRI). Diffusion-weighted imaging (DWI) may improve diagnostic accuracy. Therefore, our aim was to assess the value of adding diffusion-weighted imaging with background body signal suppression (DWIBS) to pre-therapeutic MRI staging. (2) Methods: Two radiologists with 8 and 13 years of experience, blinded to each other’s findings, initially interpreted only standard MRI, later DWIBS alone, and afterward, standard MRI + DWIBS in 41 patients with histopathologically proven pT1a laryngeal cancer of the glottis. (3) Results: Detectability rates with standard MRI, DWIBS only, and standard MRI + DWIBS were 68–71%, 63–66%, and 73–76%, respectively. Moreover, interobserver reliability was calculated as good (κ = 0.712), very good (κ = 0.84), and good (κ = 0.69) for standard MRI, DWIBS only, and standard MRI + DWIBS, respectively. (4) Conclusions: Standard MRI, DWIBS alone, and standard MRI + DWIBS showed an encouraging detection rate, as well as distinct interobserver reliability in the diagnosis of early-stage laryngeal cancer when compared to the definitive histopathologic report.
Network nodes for ocean data exchange through submarine fiber optic cable repeaters

As humanity progresses and globalization advances, humanized environment and associated systems increase in complexity and size. In earth systems, oceans represent an essential element of equalization and normal functioning. Ocean-atmospheric interactions are nowadays believed to be at the heart of all earth vital signs and climatic behaviours, and therefore are essential to accurate monitoring and understanding of earth systems. The work presented is a preliminary result of the K2D-Knowledge and Data from the Deep to Space, project which addresses the challenge of creating underwater network nodes to provide power and communication to land through the submarine fiber optic cable repeaters. The N2 ODE system will consist of a set of subsystems that will allow continuous monitoring and interaction with fixed and mobile underwater devices.
Teaching and learning using 21st century educational technology in accounting education: Evidence and conceptualisation of usage behaviour

Technologies are ubiquitous in the 21st century, and educators need to integrate relevant technologies into their teaching practices to meet stakeholders’ expectations and keep abreast with the accounting profession’s advancement. A mixed-method approach of quantitative and qualitative techniques was used in this study, with the latest version of the SPSS software (version 26) and NVivo software to analyse the data. The results depict the accounting educators’ usage efforts of 21st century educational technology tools and platforms; it is neither highly prevalent nor optimised. Future researchers could expand the investigation of 21st century educational technology by utilising the proposed constructs, model and hypotheses from this study’s qualitative findings. The study revives the stagnant educational technology literature in accounting education and explicates technology usage issues in accounting education, specifically in developing countries and the Asian region. Implications for practice or policy: Education ministries, higher education institutions, faculties, policymakers and academics should encourage educators to adopt and integrate 21st century educational technology into their practices. The integration of 21st century educational technology in teaching and learning practice should align with individual attributes, technology characteristics and organisational factors. Accounting educators must acquire technological competence through appropriate professional development and training programmes.
Wheelchair Users’ Perspective on Transportation Service Hailed Through Uber and Lyft Apps

Numerous lawsuits have been filed against Uber and Lyft for lack of disabled accessibility of the transportation service they facilitate, with some of the lawsuits focusing on wheelchair accessibility. The paper investigates accessibility from the perspective of wheelchair users and examines their perceptions, experiences, and preferences. Some of the experiences of wheelchair users have been documented in grey literature. The study investigates these in addition to dimensions that are currently unexplored: their perceptions and preferences. A survey of 341 wheelchair users in the U.S. was conducted to understand general trends and patterns. Data collected from 224 complete and 117 partial responses were analyzed using descriptive statistics and linear and logistic regressions. The findings indicate that more than 50% of respondents were satisfied with the service, but nearly 40% experienced service denial. Almost half of those without Uber or Lyft experience perceive Uber and Lyft as a viable means of transportation. The study also showed that the propensity to be an Uber or Lyft user is associated with type of wheelchair, having access to a vehicle, and level of education. The purpose of the study is to bring to the fore the lived experiences of wheelchair users by taking a larger sample than anecdotal references in media reports—where most of the current debate on this topic resides—and to gain new insights. The study fills the gap in academic literature by developing a new knowledge. It also outlines recommendations relevant for practice and policy considerations.
A Radiation-Hardened Non-Volatile Magnetic Latch with High Reliability and Persistent Storage

With technology scaling down, the vulnerability of circuits to radiation and the increase of static power have become severe concerns. Spintronic devices such as magnetic tunnel junction (MTJ) have been developed to cope with many concerns, among which reliability concerns [1]. Spintronic devices have attractive properties, such as non-volatility and compatibility with conventional CMOS fabrication process. Based on an advanced triple-path dual-interlocked-storage-cell (TPDICE) and MTJs, this paper proposes a radiation-hardened non-volatile magnetic latch, namely M-TPDICE, that can completely tolerate single-node upsets (SNUs) and double-node upsets (DNUs). Simulations of the proposed latch with the HSPICE tool with a 45 nm CMOS technology model have demonstrated the effectiveness of the proposed latch.
Verification of the Climatic Features of a Regional Climate Model with BAIM

Verification of local climatic features produced by a regional climate model (JSM-BAIM) that includesa Biosphere-Atmosphere Interaction Model (BAIM) in the Japan Spectral Model (JSM) was performed.The data used in the verification were the results of a six-year integration calculated by the JSM-BAIM.In the time integration of the JSM-BAIM, the spectral boundary coupling (SBC) method was used. Thereproducibility of horizontally distributed features, and local and seasonal changes in the principal climaticelements of the model, were investigated in finer detail than that of our previous study.Comparisons of the model results with JMA objective analysis data were performed with respect togeopotential heights, temperatures, and winds at the 850-hPa and 500-hPa levels. Statistically signifi-cant differences appeared, mainly in the summer temperature field, and in the summer and the winterwind fields. It was considered that the statistically significant differences in the summer temperaturefield were due to the effects of land surface processes, and the summer convection process over thesouthern ocean area. The statistically significant differences in the wind field were mainly due to theinfluence of differences in topography between the regional model field and the analysis field, especiallywhen interacting with the strong wind flow during the winter season.Comparisons of the model results with the data of dense surface meteorological observation network(AMeDAS) were performed with respect to precipitation, surface air temperature, and radiation at theland surface over four typical climate areas in the Japanese Islands. The model reproduced reasonablywell the features of the seasonal and interannual variations of each variable, in each area. There were,however, some seasonal and regional features in the differences between the model results and theAMeDAS data.The JSM-BAIM, with the use of the spectral boundary coupling (SBC) method in a long period timeintegration, had sufficient accuracy for use in investigations of the interaction mechanisms between theterrestrial ecosystems and climate; temporally at least on the level of the seasonal and interannual variations,and spatially at least on the level of the climatic classification of the Japanese Islands. There is, however,the necessity for further verification using observed data, especially with respect to the near landsurface air temperature in a natural vegetation environment, and the atmospheric variables over the ocean.
Detection and evaluation of surface defect for large-size grating

In view of the fact that the current research of detection technology for large-size grating surface defect was very little, this paper builds a set of grating defect detection device based on the principle of darkfield imaging. The scheme includes three subsystems: displacement system, monochrome light illumination system and image acquisition system. When the displacement system drives the motion stage to move, the monochromatic light illumination system and the image acquisition system jointly complete the acquisition of the grating surface images. In this study, the surface of the diffraction grating with 170×170mm2 was detected for defects, and the statistical data of different defects is given. Experimental results show that, the device meets the needs of defect detection and evaluation on large-size grating surfaces and the mechanical structure is simple and compact, which has the great potential for large-scale detection.
Research on UFastSLAM Algorithm Based on Gravity Search Algorithm

Simultaneous Localization and Mapping (SLAM) algorithm is one of the effective strategies to solve the problem of underwater precise localization and navigation. This paper proposes a Gravity Search Algorithm (GSA) to improve UFastSLAM algorithm which has been successfully used for several years, the proposed GSA improves the state of particles before updating the weight by improving the resampling step, and makes the particle set tend to the region with high a posteriori probability, optimizes the particle state, and can effectively solve the problem of particle degradation and improve the navigation accuracy. The proposed method is verified by sea trial data and simulation experiments. The experimental results show that this method has higher accuracy and efficiency than traditional UFastSLAM in the process of robot positioning.
The Teachers' Selection of The Use of Learning Management Systems in Teaching and Learning

The selection of a website as a reference for learning directly affects the quality of information for the person who accesses it. The objectives and expected results of the learning management system depend on the quality of the teaching process and its effectiveness in online access. This research is expected to support teachers who carry out the teaching and learning process virtually during the pandemic. The research method used is quantitative, with a descriptive approach for evaluating, ranking, and choosing the learning management system. Based on the research survey, the criteria for analysis of the LMS platforms in this paper are summarized in three categories: learning skills tools, communication within LMS tools, and ease of use tools. The main goal is to present a comparative analysis of 5 electronic learning management systems. From the teachers' view in this research, only one LMS supports all three categories. The critical criteria of LMS are supported by video conference, chat room for personal discussion, and simple to use.
Comprehensive Review of Nanoparticles Dispersion Technology for Automotive Surfaces

Many innovations arose from the continual and thorough monitoring of overlooked characteristics of materials found in the environment. Automotive paints are always constantly exposed to a broad range of ambient temperature conditions, which reduces their longevity and encourages algae development. Through the effective incorporation of nanotechnology with this lotus effect, it has become possible to provide self-cleaning ability along with air purification and antibacterial performance to automotive surfaces like paint and coating. The addition of nanoparticles such as Titanium dioxide (TiO2) and Silicon dioxide (SiO2) helps to improve functionalities like water or stain resistance, ultra-violet protection, and scratch resistance. When the nanoparticles were added into paint, they degraded the polluting compounds on the material's surface by photo catalysis. Multiple photocatalytic functions and self-cleaning properties were observed in nanoparticles added to polyester acrylic paint. Therefore, this paper discussed the history of automotive painting, nanopaint technology, previous research on the method preparation, development, and current progress, the environmental health aspects of nanotechnology, as well as the performance in terms of automotive surfaces. The study discovered the requirements for nanoparticle dispersion and coating uniformity and appearance on automotive surfaces, which will serve as a benchmark for dispersion and coating methods for automotive surfaces.
Nano-Confined Tin Oxide in Carbon Nanotube Electrodes via Electrostatic Spray Deposition for Lithium-Ion Batteries

The development of novel materials is essential for the next generation of electric vehicles and portable devices. Tin oxide (SnO2), with its relatively high theoretical capacity, has been considered as a promising anode material for applications in energy storage devices. However, the SnO2 anode material suffers from poor conductivity and huge volume expansion during charge/discharge cycles. In this study, we evaluated an approach to control the conductivity and volume change of SnO2 through a controllable and effective method by confining different percentages of SnO2 nanoparticles into carbon nanotubes (CNTs). The binder-free confined SnO2 in CNT composite was deposited via an electrostatic spray deposition technique. The morphology of the synthesized and deposited composite was evaluated by scanning electron microscopy and high-resolution transmission electron spectroscopy. The binder-free 20% confined SnO2 in CNT anode delivered a high reversible capacity of 770.6 mAh g−1. The specific capacity of the anode increased to 1069.7 mAh g−1 after 200 cycles, owing to the electrochemical milling effect. The delivered specific capacity after 200 cycles shows that developed novel anode material is suitable for lithium-ion batteries (LIBs).