Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis of a Circularly-Polarized Circular- and Hexagonal-Slot Element on a Parallel-Plate Waveguide with Perpendicular Corporate-Feed

In this paper, the analysis method by hybrid the method of moments (MoM) and finite element method (FEM) is presented for a circularly-polarized circular- and hexagonal-slot element on a parallel-plate waveguide with perpendicular corporate feed. The method uses analytical and numerical entire domain basis functions depending on the slot shape. The analysis results are compared with commercial software and showed agreement.
A Power-Enhancing Complementary Coupling Integration Strategy for Misalignment-Tolerant WPT Systems

This article presents a complementary coupling integration method for an inductor–capacitor–capacitor-series-compensated wireless power transfer (WPT) system to improve the misalignment tolerance and power transfer capability. To this end, a compensation (Cx) coil formed by a long rectangular coil wound into a C-shaped structure is proposed. As a result, two multiples of the mutual inductance (MI) between the Cx and receiver (Rx) coils are added to the MI between the transmitter and Rx coils, providing the MI complement effect to increase the equivalent MI under both the perfectly aligned and misaligned conditions. A mathematical model based on the Delta–Wye network transform is developed to obtain the zero-phase-angle (ZPA) input and load-independent constant current (CC) output conditions. A 1-kW scaled-down WPT prototype based on the proposed method is built, and its performance is experimentally validated. The proposed system achieves 85.22% efficiency at 150-mm air gap and tolerates <inline-formula><tex-math notation="LaTeX">$\pm$</tex-math></inline-formula>200-mm <inline-formula><tex-math notation="LaTeX">$x$</tex-math></inline-formula>-, <inline-formula><tex-math notation="LaTeX">$y$</tex-math></inline-formula>-, and diagonal misalignments, <inline-formula><tex-math notation="LaTeX">$\pm$</tex-math></inline-formula>50-mm <inline-formula><tex-math notation="LaTeX">$z$</tex-math></inline-formula>-misalignment, and 20<inline-formula><tex-math notation="LaTeX">$^\circ$</tex-math></inline-formula> angular misalignment with ZPA input and load-independent CC output as the load varies from 5 to 20 <inline-formula><tex-math notation="LaTeX">$\Omega$</tex-math></inline-formula>. In addition, the system performance is barely affected by the planar rotation misalignment.
Atlas of the developing mouse brain at E 17.5, P0, and P6

This atlas provides an accurate and detailed depiction of all brain structures at fetal stage E17.5, Day of birth, and Day 6 postnatal. In addition to brain structures, the atlas delineates peripheral nerves, ganglia, arteries, veins, muscles bones and other organs. It is an indispensable guide for the interpretation of nervous system changes in gene knockout and transgenic mice. The authors are recognized leaders in brain cartography, and the delineations and graphics link the atlas with other highly successful Paxinos atlases, complementing the catalog of brain atlases of highest quality available from Elsevier. There is currently no alternative of similar quality and extent on the market. 43 photographs and drawings of Nissl-stained coronal sections of the brain of a fetal mouse at E17.5 days 65 photographs and drawings of Nissl-stained coronal sections of the brain of a mouse on the day of birth 73 photographs and drawings of Nissl-stained coronal sections of the brain of a mouse aged 6 days postnatal The drawings are based on the study of sections stained with Nissl and a range of neuroactive substances In addition to brain structures, the atlas delineates peripheral nerves, ganglia, arteries, veins, muscles bones and other organs The accompanying CD includes all drawings in pdf and eps formats, and electronic files of photographs of the Nissl stained sections
Nano-Magnetic Logic based Architecture for Edge Inference using Tsetlin Machine

High learning accuracy with less time, low energy and small memory footprint made Tsetlin Machine (TM) an emerging edge inference alternative to traditional machine learning algorithms such as neural networks (NN). Advances in nanomagnetic logic are considered a potential alternative to CMOS-based digital circuits due to their non-volatility, low power and high integration density. Adapting the advantages of these two technologies, we propose a novel nano-magnetic logic-based architecture for edge inference using the Tsetlin machine to build energy-efficient applications. This design can be expanded to construct energy-efficient Convolution TM applications. The proposed TM inference architecture is designed by exploiting the shape and positional hybrid anisotropy and the antifer-romagnetically coupled fixed input majority gate (MG). The micromagnetic tool is used for the simulation framework. The proposed design to implement 2 clause TM inference requires 15 majority gates comprising a total of 60 nanomagnets and 14 interconnect magnets, requiring $1.24X10^{-19}J$ energy per operation which is $10^{5}$ to $10^{6}$ times less compared to CMOS logic, and the power consumed by the total number of nanomagnets for implementing the proposed architecture is 0.00082 $\mu \mathrm{W}$.
AUTHENTICATED KEY AGREEMENT SCHEME BASED ON BLOCKCHAIN FOR AMI COMMUNICATION SECURITY

Security is the basis for the normal operation of advanced measurement infrastructure (AMI). As an important part of key management scheme, key establishment is indispensable in meeting AMI communication security requirements. Most proposed key management schemes rely on a trusted third party (TTP). Once there is a problem with TTP, the security of these schemes will be greatly reduced. Furthermore, the data concentrators (DCs) in traditional AMI architectures all manage smart meters (SMs) in their respective regions, and the lack of interaction between the DCs exposes a serious single point of failure. To alleviate these problems, we propose a blockchain-based authenticated key agreement scheme to secure the communication of AMI. In this scheme, the blockchain comprises DCs as network nodes that interact with the SMs. The proposed key agreement and distributed consensus protocol ensure the authenticity and validity of the communication content without relying on TTP. We analyse the resistance of the proposed protocol to multiple known attacks and evaluate its performance. The proposed protocol has higher security or better performance than other schemes.
Oil and gas development in West Coast in 1987

Drilling activity in the West Coast region in 1987 showed little improvement over 1986, as crude oil and gas prices remained low. A total of 208 exploratory wells were drilled, with explorationists logging 5 new-field discoveries and an overall success rate of 26%. Exploration activity in offshore California continued to decline in 1987 with only 3 new wildcats drilled and no reported discoveries. Operators meanwhile concentrated their efforts on the development of the giant Point Arguello and Point Pedernales fields and continued their efforts to obtain necessary permits to bring on-line the additional reserves discovered in the early 1980s. Exploration activity in the onshore California basins increased slightly in 1987 with 195 wells drilled compared to 189 in 1986. Explorationists scored 49 discoveries consisting of 5 new fields, 13 new pools, and 32 extensions. Drilling activity in Oregon and Washington continued to decline in 1987 with only 10 exploratory wells, 2 fewer than in 1986. Seven of these wells were completed as gas producers at Mist field in Oregon. Geothermal activity in California increased by 22% in 1987, halting the downward trend set over the past few years. Activity was again concentrated at The Geysers field with the completion ofmore » 39 new wells in 1987. 3 figs., 3 tabs. « less
Rule-Based Energy Supervisory in Racing Hybrid-Electric Powertrain for Minimizing the Racetrack Time

The work presented in this paper proposes an innovative energy management approach for hybrid-electric powertrain for optimizing the power exchange among multiple energy sources such as battery pack, fuel cell and solar panels for competing in an endurance race in a maritime application. The algorithm's goal is the minimization of a racetrack time, achieved by ensuring the charge-depletion while maintaining the most efficient working point for all the energy sources. Starting from analyzing and modelling the powertrain architecture and vehicle dynamics, the energy economy problem formulation is done following the mathematical principles behind the optimal control theory. Then, to assess a practical implementation on real hardware, the knowledge of the previous approaches has been translated into a rule-based algorithm, that let it be run on an embedded CPU. Finally, to support mathematical modelling and considerations, simulations and real-time hardware testing have been performed in a real-world race scenario, showing promising results.
Assessment of 3D Model for Photogrammetric Purposes Using AI Tools Based on NeRF Algorithm

The aim of the paper is to analyse the performance of the Neural Radiance Field (NeRF) algorithm, implemented in Instant-NGP software, for photogrammetric purposes. To achieve this aim, several datasets with different characteristics were analysed, taking into account object size, image acquisition technique and geometric configuration of the images. The NeRF algorithm proved to be effective in the construction of the 3D models; in other words, in Instant-NGP it was possible to obtain realistic 3D models in a detailed manner and very quickly, even in rather weak geometric configurations of the images. The performance obtained in the latter environment was compared with that achieved by two software packages, one widely used in the photogrammetric field, Agisoft Metashape, and one open source, Colmap. The comparison showed encouraging results in building 3D models, especially under weak geometry conditions; although, the geometric description of objects under point clouds or meshes needs improvement for use in the photogrammetric field.
Numerical Investigations of low Reynolds number Aerodynamics of Bio-Inspired 3D wings

The silent flight of owls is a result of unique physical features and adaptations, which has been studied by both biologists and engineers to enhance the design of unmanned aerial vehicles (UAVs). This study investigates the flight mechanics and aerodynamics of UAVs with a wing of aspect ratio of four and varying swept angles and taper ratios, using bio-inspired wing. Different configurations are tested by varying the swept angle and taper ratio to optimize design and ensure peak performance under different conditions and angles of attack. The behavior of the wings in various flying scenarios is used to research the aerodynamics and mechanics of flight. Although simulating folding bio-inspired wings is a thrilling field with revolutionary potential for UAV design, wingtips are identified as a source of three-dimensional flow that slightly lowers pressure towards the wingtip regions. This work enhances our understanding of aerodynamics and mechanics, leading to improved UAV design.
Solar PV and Grid-based EV Charging using SEPIC Converter

The integration of solar photovoltaic (PV) systems and grid-based charging for electric vehicles (EVs) is becoming increasingly popular due to its potential to reduce carbon emissions and promote sustainable energy. This research proposes a versatile power electronic converter (PEC) for electric vehicles (EVs) that can charge the battery using either solar photovoltaic (SPV) or grid power sources. The PEC includes sophisticated methods of control such as space vector pulse width modulation (SVPWM) and incremental conductance (IC) maximum power point tracking (MPPT). The proposed PEC employs the IC method to extract maximum power from the SPV source while avoiding the drawbacks of the perturb and observe method. The proposed PEC makes use of a converter that is based on a typical secondary ended primary inductance converter (SEPIC). The system offers galvanic isolation and safety, making it appropriate for all vehicular operations such as propulsion, charging, and regenerative braking. The converter operates as a standalone SEPIC during charging and buck-boost converter during propulsion(PP) and regenerative braking(RB) modes, retaining isolation in each mode. Based on the simulation outcomes, the proposed system can deliver an efficient charging solution, diminish reliance on grid power, and encourage the adoption of renewable energy sources. The proposed PEC serves as an optimal solution for on-board battery charging applications, contributing to the development of sustainable and low-carbon transportation systems.
Food and Housing Insecurity Among Adult Undergraduates During the COVID-19 Pandemic

The purpose of this study was to examine the variables associated with adult undergraduates’ food and housing insecurity during the COVID-19 pandemic. Data were derived from the 2020 #RealCollege Survey, which was completed by 25,838 adult undergraduates (≥25 years old) at 72 4-year and 127 2-year institutions in 42 U.S. states. The results suggest that 43.2% of adult undergraduates experienced food insecurity, and 60.6% experienced housing insecurity. Adult undergraduates who had multiple disabilities, grew up in lower-income families, had previously lived in foster care, attended 2-year colleges, and did not live with a spouse/partner had significantly higher probabilities of experiencing food or housing insecurity. Furthermore, first-generation students, international students, or caregivers, parents, or guardians to children had significantly higher probabilities of experiencing food and housing insecurity. Finally, adult undergraduates who experienced COVID-19 pandemic-related academic and financial and health difficulties also had higher probabilities of experiencing food and housing insecurity.
THE FUNCTION OF SOCIAL MEDIA AS A SUPPORTING TOOL FOR LECTURER CAREER DEVELOPMENT IN UNIVERSITIES IN THE INDUSTRY 4.0 ERA

Lectures have many duties. The most important one is to implement the tri-dharma of higher education (teaching, research and community service). One of the efforts to support these duties in the Industry 4.0 era is the use of social media to develop professors' careers. A lack of understanding of the role of social media sometimes only sees the dark side of social media, which is actually very useful in developing lecturers' careers. This study uses a qualitative research method with a narrative research design. The subjects of this study were 92 individuals identified through purposive sampling technique. Data collection was done through an online survey. Data analysis in this study used coding techniques consisting of open coding, axial coding and selective coding stages. The findings of this study show that social media is a professional development tool for teachers and can enhance professional competence, which can contribute to teachers' professional development. Professional development that enhances the performance of the Tri Dharma of Higher Education in the areas of teaching, research and community service.
A Wireless Synchronization Controller for High-Power Stationary and Semi-Dynamic Wireless Charging of Electric Vehicles

This article presents a vehicle side wireless synchronization controller suitable for high-power inductive power transfer (IPT) systems for electric vehicle wireless charging under stationary and semi-dynamic conditions. The objective of this work is to enable improved functionality, efficiency, and power density of high-power IPT systems under misaligned conditions. An existing 50 kW LCL-LCL tuned IPT system with dual active bridges demonstrates the controller's performance. The controller utilizes a decoupled auxiliary winding integrated into the vehicle assembly (VA) magnetics to wirelessly obtain the frequency and phase reference of the ground assembly active bridge to achieve synchronous switching and phase angle control of the VA active bridge. Experiments demonstrate this controller enables a 10.6% increase in power output and a 1.1% efficiency increase in regions of low coupling. Experiments also demonstrate the controller's suitability for semi-dynamic applications, providing average power output and efficiency increases of 14.1% and 1.8%, respectively, over 90% of the dynamic experiment range of magnetic alignments. Speed of synchronization, power output quality, and ease of implementation are discussed. Challenges associated with wireless synchronization in IPT systems are investigated, and recommendations are made regarding how they can be addressed.
Federated Learning-Based Joint Radar-Communication mmWave Beamtracking with Imperfect CSI for V2X Communications

Robust beamforming is used to ensure communication quality, particularly for vehicle-to-everything (V2X) communications. Moreover, millimeter waves (mmWaves) are used in a new era of communication, providing a high data rate and high spectrum efficiency. However, mmWave links are prone to short-range communication because of serious free-space path loss and blockage by obstacles. In addition, owing to constraints on bandwidth and privacy considerations, it is computationally difficult to transmit the entire dataset between vehicle users and road side units (RSUs). As a result, FL-BT, a federated learning (FL)-based joint radar and communication mmWave beamtracking with imperfect channel state information (CSI) for V2X communications, is proposed. FL-BT is a federated module at vehicle user (local clients) and an RSU (main server) consisting of support vector regression (SVR) along with an unscented Kalman filter (UKF) that predicts the distribution of future channel behavior based on a sequence of input signals available. The simulation results demonstrate that the proposed FL-BT approach offers significant improvements in V2X communication performance by incorporating the UKF and SVR in a state-space model for precise future channel-value prediction and a federated learning framework for handling bandwidth and privacy considerations. This leads to a more robust and accurate beamtracking performance compared to traditional beamtracking methods.
IN VITRO EVALUATION OF PROBIOTIC POTENTIAL OF Lactiplantibacillus plantarum TRG1 ISOLATED FROM AN ALGERIAN’S GOAT RUMEN

This present paper is intended to demonstrate the desirable probiotic properties of Lactiplantibacillus plantarum TRG1 isolated from the Algerian goat rumen. The study focused on assessing the strain’s survival rate in stress conditions, namely in phenol 0.4%, bile salts 0.3%, in saliva and the Gastrointestinal tract (GIT) simulated conditions. The adhesion ability of the strain with GIT cells, cell surface properties, the production of EPS and β-galactosidase activity were also analyzed. Besides, biogenic amines production, sensitivity to antibiotics and hemolytic activity were evaluated as safety properties. The results showed that the strain can tolerate phenol 0.4% (13.88 ± 2.54%), bile salts 0.3% (10.91± 0.71%), and displayed good viability in saliva and different parts of the GIT. Viability rates were 99.26 % in saliva, 69.68 % in gastric juice, 37.4 % in the ileum. In the duodenum, 93.09 % of viability was attained after 90 min and 53.73% after 180 min of incubation. Furthermore, the strain displayed good adhesion and acceptable surface properties: hydrophobicity (76.94 ±3.36%), auto-aggregation (29.52% ± 6.95), and co-aggregation with E. coli (15.38 ± 05.43), P. aeruginosa (16.05 ± 2.14) and S. aureus (17.33 ± 2.31). A considerable amount of EPS (942.50 ± 32.78 mg/l) was noticed too. Results also showed that the strain did not present hemolytic activity while it can produce the β-galactosidase enzyme. The strain displaced sensitivity to nitroxolin and tetracycline and is resistant to other antibiotics.
Measuring the Unmeasurable: Models of Geographical Context

The issue of whether place significantly affects spatial behavior has long created both a philosophical and an operational schism within geography. Here we show how these schisms can be bridged by identifying how place and behavior can be linked through recognizing and incorporating what we term intrinsic and behavioral contextual effects into models of spatial behavior. We argue that spatial modeling frameworks that attempt to relate spatial behavior to aspects of people and places might be seriously misspecified if they do not incorporate both types of contextual effects. We compare three popular statistical modeling frameworks that encompass placed-based contextual effects: spatial error models, multilevel models, and multiscale geographically weighted regression (MGWR). Based on Monte Carlo simulation and empirical analysis, we demonstrate the reassuring similarity of the results from the three frameworks but also the superiority of MGWR. The inclusion of essentially unmeasurable effects within a nomothetic framework provides an important bridge between two previously distinct philosophies within geography and acts as a binding force within the discipline.
Biogenic Silver Nanoparticles for Targeted Cancer Therapy and Enhancing Photodynamic Therapy

Different conventional therapeutic procedures are utilized globally to manage cancer cases, yet the mortality rate in patients with cancer remains considerably high. Developments in the field of nanotechnology have included novel therapeutic strategies to deal with cancer. Biogenic (green) metallic silver nanoparticles (AgNPs) obtained using plant-mediated protocols are attractive to researchers exploring cancer treatment. Biogenic AgNPs present advantages, since they are cost-effective, easy to obtain, energy efficient, and less toxic compared to chemically and physically obtained AgNPs. Also, they present excellent anticancer abilities thanks to their unique sizes, shapes, and optical properties. This review provides recent advancements in exploring biogenic AgNPs as a drug or agent for cancer treatment. Thus, great attention was paid to the anticancer efficacy of biogenic AgNPs, their anticancer mechanisms, their efficacy in cancer photodynamic therapy (PDT), their efficacy in targeted cancer therapy, and their toxicity.
CA-Wav2Lip: Coordinate Attention-based Speech To Lip Synthesis In The Wild

With the growing consumption of online visual contents, there is an urgent need for video translation in order to reach a wider audience from around the world. However, the materials after direct translation and dubbing are unable to create a natural audio-visual experience since the translated speech and lip movement are often out of sync. To improve the viewing experience, an accurate automatic lip-movement synchronization generation system is necessary. To improve the accuracy and visual quality of speech to lip generation, this research proposes two techniques: Embedding Attention Mechanisms in Convolution Layers and Deploying SSIM as Loss Function in Visual Quality Discriminator. The proposed system as well as several other ones are tested on three audiovisual datasets. The results show that our proposed methods achieve superior performance over the state-of-the-art speech to lip synthesis on not only the accuracy but also the visual quality of audio-lip synchronization generation.