Miracle-dz/UniFAR-FTUs huggingface dataset:
Roadside unit‐based pseudonym authentication in vehicular ad hoc network

Information sharing among vehicles is an essential component of an Intelligent Transportation System (ITS), but must take into consideration the security and privacy requirements of the network participants. Vehicular Ad Hoc Network (VANET) is a pervasive network, where vehicles communicate wirelessly with nearby vehicles, infrastructure nodes, and other connected devices to improve road safety and provide other useful services. Security of VANET can be improved by ensuring that only authorized vehicles can participate in the network. This research proposes a new approach that uses roadside units (RSUs) to authenticate safety messages and notify vehicles about any unauthorized messages/senders. We present a three‐tier architecture with a distributed blockchain to securely maintain the identity of all vehicles in the network. The use of this RSU‐based approach helps to reduce the computational overhead on the On‐board unit (OBU) of individual vehicles and does not require the transmission of lengthy certificates and certificate revocation lists with each message. Simulation results indicate that the proposed approach achieves improved performance compared to existing techniques in terms of both authentication delay and channel load.
AG1478 Elicits a Novel Anti-Influenza Function via an EGFR-Independent, GBF1-Dependent Pathway

Current options for preventing or treating influenza are still limited, and new treatments for influenza viral infection are urgently needed. In the present study, we serendipitously found that a small-molecule inhibitor (AG1478), previously used for epidermal growth factor receptor (EGFR) inhibition, demonstrated a potent activity against influenza both in vitro and in vivo. Surprisingly, the antiviral effect of AG1478 was not mediated by its EGFR inhibitory activity, as influenza virus was insensitive to EGFR blockade by other EGFR inhibitors or by siRNA knockdown of EGFR. Its antiviral activity was also interferon independent as demonstrated by a Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) knockout approach. Instead, AG1478 was found to target the Golgi-specific brefeldin A-resistance guanine nucleotide exchange factor 1 (GBF1)–ADP-ribosylation factor 1 (ARF1) system by reversibly inhibiting GBF1 activity and disrupting its Golgi-cytoplasmic trafficking. Compared to known GBF1 inhibitors, AG1478 demonstrated lower cellular toxicity and better preservation of Golgi structure. Furthermore, GBF1 was found to interact with a specific set of viral proteins including M1, NP, and PA. Additionally, the alternation of GBF1 distribution induced by AG1478 treatment disrupted these interactions. Because targeting host factors, instead of the viral component, imposes a higher barrier for developing resistance, GBF1 modulation may be an effective approach to treat influenza infection.
Small end‐fire superdirective folded meandered monopole antenna array

In this letter, we present a compact four‐element superdirective antenna array operating at 900MHz frequency band. In this antenna, only one element is excited while the others are parasitic‐loaded elements. The antenna total dimensions are 231 × 122 mm2 and it has a total directivity of 11.6dBi and radiation efficiency of 46%. This antenna is significantly compact compared with others presenting the same directivity. © 2016 Wiley Periodicals, Inc. Microwave Opt Technol Lett 58:2122–2124, 2016
Comparison of Statistical and Machine-Learning Models on Road Traffic Accident Severity Classification

Portugal has the sixth highest road fatality rate among European Union members. This is a problem of different dimensions with serious consequences in people’s lives. This study analyses daily data from police and government authorities on road traffic accidents that occurred between 2016 and 2019 in a district of Portugal. This paper looks for the determinants that contribute to the existence of victims in road traffic accidents, as well as the determinants for fatalities and/or serious injuries in accidents with victims. We use logistic regression models, and the results are compared to the machine-learning model results. For the severity model, where the response variable indicates whether only property damage or casualties resulted in the traffic accident, we used a large sample with a small imbalance. For the serious injuries model, where the response variable indicates whether or not there were victims with serious injuries and/or fatalities in the traffic accident with victims, we used a small sample with very imbalanced data. Empirical analysis supports the conclusion that, with a small sample of imbalanced data, machine-learning models generally do not perform better than statistical models; however, they perform similarly when the sample is large and has a small imbalance.
Control of Residential and Commercial Loads for Power System Ancillary Services

Due to environmental concerns related to burning fossil fuels and nuclear waste disposal, the energy mix has been changing during the last decades with the integration of Renewable Energy Sources (RES). However, RES inject fluctuating electric power into the grid because they depend on the availability of primary natural resources such as wind and solar power. These fluctuating power injections create frequency and voltage deviations from their nominal values, which have to be mitigated to maintain a secure and reliable power supply. Traditionally, the power system operators control the frequency and voltage using active and reactive power reserves offered by conventional generators. Therefore, a large integration of RES will challenge the traditional power system operation because the need for reserves increases and at the same time the portion of controllable generation resources decreases. Although the traditional operation paradigm in power systems is to dispatch controllable generators to follow a variable electricity demand, it is also conceptually possible to control some portion of the demand to follow a variable generation power infeed. This idea was already proposed in the 1980’s, and since then industrial loads participate in programs to support power system operation in many countries. However, there is a lot of potential for reserve provision from residential and commercial loads that remains widely untapped due to challenges related to control complexity, implementation costs, and regulatory aspects. The main goal of this thesis is to develop methods to enable provision of power system reserves from residential and commercial loads, and verify their suitability for practical implementation in simulation and experimental studies. In addition, this thesis investigates using load control to reduce the electricity cost of individual customers in a way that is
New Grossuana (Littorinimorpha: Hydrobiidae) species from Mount Kazdağı, northwestern Turkey

The Hydrobiidae family is the most common and diverse taxa of freshwater gastropods in the aquatic ecosystem. Among Hydrobiidae, Grossuana Radoman, 1983 is a tiny spring-inhabitant genus which is mainly distributed in Balkan countries. We surveyed various freshwater ecosystems in the Çanakkale Province, northwestern Turkey, including Mount Kazdağı, and found eight of Grossuana which are new to science: G. azizsancari, G. kazdagiana, G. onderi, G. bayramicensis, G. kirkgozlerensis, G. canakkalensis, G. arslanarum, and G. tunceri. The species are described here. http://www.zoobank.org/urn:lsid:zoobank.org:pub:2092E33B-A83E-4B20-826B-A70B0E11AB1D
Generating Line-Oriented Flight Simulation Scenarios with the Rrloe Computerized Tool Set

Line-Oriented Simulation (LOS) is a scenario-based training and evaluation methodology used at airlines to provide trainees with practice, to evaluate their performance, and to validate their proficiency. LOSs consist of realistic flight simulation scenarios from preflight check to after-landing shutdown that are highly scripted. From 1997 on, the Federal Aviation Administration has supported the development of software for “Rapidly Reconfigurable Event Set-Based LOEs (RRLOE),” In this method, LOSs are created by combining phase-based event sets into a coherent and logical flight. The method is computerized, supports LOS development, and reduces the predictability of scenarios for the trainees. In 2000, the RRLOE software was distributed to airlines participating in the Advanced Qualification Program. In this demonstration, we describe the challenge of automated scenario design further, and show how the RRLOE tool can assist those that develop scenario-based training.
Gain and Bandwidth Enhancement of a Metamaterial Loaded Antipodal Vivaldi Antenna Fed by Substrate Integrated Waveguide

This paper proposes a novel wideband, high-gain, compact Vivaldi antenna operating in the 14.7–20.5 GHz frequency range, where the antenna is fed by the substrate integrated waveguide (SIW). A Negative Index Metamaterial (NIM) has been designed, with its parameters extracted using MATLAB software. The NIM was developed to address the deficiencies of conventional Antipodal Vivaldi antennas. With a measured gain of over 5.3 dBi, the fabricated antenna performs satisfactorily across the entire bandwidth. Due to its low profile and short transversal dimension, the proposed antenna is suitable for antenna arrays; consequently, the proposed antenna design could be a viable option for modern communication and radar systems.
Formulating strategic problems with Systems Modeling Language

ABSTRACT Prompted by difficulties inherent to causal analysis in problem formulation, and by a need for more formal and robust strategy and transformation design tools and frameworks, this article introduces a procedure for modeling strategic problems in the Systems Modeling Language (SysML). As a test bed for the procedure, we used the widely available Robin Hood strategic management case study. The modeling process fostered an enhanced understanding of the nature of the problem, and the resulting model proved rich and complex. The difficulties stemming from causal analysis were absent altogether, thus showing that SysML provides a good basis upon which to build a non-causal, systemic strategy and transformation design framework.
5G Mobile and Wireless Communications Technology

Written by leading experts in 5G research, this book is a comprehensive overview of the current state of 5G. Covering everything from the most likely use cases, spectrum aspects, and a wide range of technology options to potential 5G system architectures, it is an indispensable reference for academics and professionals involved in wireless and mobile communications. Global research efforts are summarised, and key component technologies including D2D, mm-wave communications, massive MIMO, coordinated multi-point, wireless network coding, interference management and spectrum issues are described and explained. The significance of 5G for the automotive, building, energy, and manufacturing economic sectors is addressed, as is the relationship between IoT, machine type communications, and cyber-physical systems. This essential resource equips you with a solid insight into the nature, impact and opportunities of 5G.
The Prevalence and Comorbidity of Tic Disorders and Obsessive-Compulsive Disorder in Chinese School Students Aged 6–16: A National Survey

Background: Obsessive-compulsive disorder (OCD) and tic disorders (TDs) are closely related and considered to etiologically overlap. Both disorders are characterized by repetitive behaviors. TD and OCD often co-occur. The high comorbidity between OCD and TD individuals suggests that we also need to pay more attention to the homogeneity and heterogeneity between TS and OCD. To date, there has been no systematic nationwide epidemiological survey of the mental health (including tic disorders and obsessive-compulsive disorder) of children and adolescents in China. Methods: A two-stage epidemiological study of psychiatric point prevalence was conducted. We used the multistage cluster stratified random sampling strategy to assess five provinces of China. The Child Behavior Checklist was used to identify behavioral problems among the enrolled students in the first stage. The results from the Mini-International Neuropsychiatric Interview for Children and Adolescents and evaluations from two psychiatrists based on the Diagnostic and Statistical Manual-IV were used to make a diagnosis. Point weighted prevalence for TD and OCD was estimated. We adjusted prevalence estimates with the product of sampling weights and poststratification weights. Standard error values and 95% confidential intervals were generated with Taylor series linearization. Rao–Scott adjusted chi-square (χ2) tests were employed to compare the prevalence estimates of different age and sex groups. Results: In the first stage, 73,992 participants aged 6–16 years old were selected. The prevalence rates of OCD and TDs were 1.37% (95% CI: 1.28–1.45) and 2.46% (95% CI: 2.35–2.57), respectively. The prevalence of OCD was found to be higher in girls (p < 0.001) and higher in boys with transient tic disorder (TTD) (p < 0.001) and Tourette’s syndrome (TS) (p < 0.001). The most common comorbidity of TS was OCD (40.73%), and for OCD, it was TS (11.36%). Conclusions: Our study is the first nationwide survey on the prevalence of TD (2.46%) and OCD (1.37%) in school students aged 6–16 years old in China. The high comorbidity between OCD and TD individuals suggested overlap based on the prevalence dimensions, which might be influenced by age and sex. This result suggested that we also need to pay more attention to the homogeneity and heterogeneity between TS and OCD.
Multi-century dynamics of the climate and carbon cycle under both high and net negative emissions scenarios

Abstract. Future climate projections from Earth system models (ESMs) typically focus on the timescale of this century. We use a set of five ESMs and one Earth system model of intermediate complexity (EMIC) to explore the dynamics of the Earth's climate and carbon cycles under contrasting emissions trajectories beyond this century to the year 2300. The trajectories include a very-high-emissions, unmitigated fossil-fuel-driven scenario, as well as a mitigation scenario that diverges from the first scenario after 2040 and features an “overshoot”, followed by a decrease in atmospheric CO2 concentrations by means of large net negative CO2 emissions. In both scenarios and for all models considered here, the terrestrial system switches from being a net sink to either a neutral state or a net source of carbon, though for different reasons and centered in different geographic regions, depending on both the model and the scenario. The ocean carbon system remains a sink, albeit weakened by carbon cycle feedbacks, in all models under the high-emissions scenario and switches from sink to source in the overshoot scenario. The global mean temperature anomaly is generally proportional to cumulative carbon emissions, with a deviation from proportionality in the overshoot scenario that is governed by the zero emissions commitment. Additionally, 23rd century warming continues after the cessation of carbon emissions in several models in the high-emissions scenario and in one model in the overshoot scenario. While ocean carbon cycle responses qualitatively agree in both globally integrated and zonal mean dynamics in both scenarios, the land models qualitatively disagree in zonal mean dynamics, in the relative roles of vegetation and soil in driving C fluxes, in the response of the sink to CO2, and in the timing of the sink–source transition, particularly in the high-emissions scenario. The lack of agreement among land models on the mechanisms and geographic patterns of carbon cycle feedbacks, alongside the potential for lagged physical climate dynamics to cause warming long after CO2 concentrations have stabilized, points to the possibility of surprises in the climate system beyond the 21st century time horizon, even under relatively mitigated global warming scenarios, which should be taken into consideration when setting global climate policy.
Cogging torque reduction for interior permanent magnet synchronous motors

Interior permanent magnet synchronous machines show a good range of behaviours, which make these kinds of machines good candidates for an electromechanical energy conversion. However, in order to improve their accuracy in their torque responses, the cogging torque and torque ripple phenomena should be mitigated to obtain better performance of the machine. In order to reduce the cogging torque and torque ripple, control techniques as well as geometric parameters of the machine have to be improved. In this thesis, geometric parameters such as the use of the fractional slot windings, the improvement of the pole-arc to pole-pitch ratio and the dimensions of the stator slots are considered for the better minimization of the cogging torque and torque ripple. The results are presented to show the performance of the IPMSM with fractional slot windings as well as the reduction of the cogging torque and torque ripple. Furthermore, four models of IPMSM with fractional and integer slot windings are going to be compared with the aim of the attenuation of the cogging torque phenomenon.
A three axis turntable's online initial state measurement method based on the high-accuracy laser gyro SINS

As an indispensable equipment in inertial technology tests, the three-axis turntable is widely used in the calibration of various types inertial navigation systems (INS). In order to ensure the calibration accuracy of INS, we need to accurately measure the initial state of the turntable. However, the traditional measuring method needs a lot of exterior equipment (such as level instrument, north seeker, autocollimator, etc.), and the test processing is complex, low efficiency. Therefore, it is relatively difficult for the inertial measurement equipment manufacturers to realize the self-inspection of the turntable. Owing to the high precision attitude information provided by the laser gyro strapdown inertial navigation system (SINS) after fine alignment, we can use it as the attitude reference of initial state measurement of three-axis turntable. For the principle that the fixed rotation vector increment is not affected by measuring point, we use the laser gyro INS and the encoder of the turntable to provide the attitudes of turntable mounting plat. Through this way, the high accuracy measurement of perpendicularity error and initial attitude of the three-axis turntable has been achieved.
Partial discharge detection in transformer using adaptive grey wolf optimizer based acoustic emission technique

Abstract Partial discharge (PD) occurring in the insulation systems of the transformer is an important indicator of their deterioration. Insulation degradation is a well-known source of power transformer failure. Many methods have been realized for detection and localization of PD source in the transformer. In this paper sensor based acoustic emission technique has been implemented for PD detection. To repair site of PD after detection it is very important to find the exact location of PD sources in the equipment. This paper proposed adaptive grey wolf optimizer (AGWO) algorithm for localization of PD source using acoustic emission technique. A novel bio-inspired optimization algorithm based on the hunting process of wolves in nature called the grey wolf optimizer (GWO) Algorithm. In contrast to meta-heuristics; the main feature is randomization having a relevant role in both exploration and exploitation in the optimization problem. A novel randomization technique termed adaptive technique is integrated with GWO and exercised on unconstrained test benchmark function and optimum location of PD in the transformer. Integration of new randomization adaptive technique provides potential to AGWO algorithm to attain global optimal solution and faster convergence with less parameter dependency. AGWO solutions are evaluated and a result shows it’s competitively better performance over other optimization algorithms.
TikTok and museum education: A visual content analysis

Although TikTok has been downloaded 2.6 billion times and is widely used around the world, cultural organizations have been slow to join the trend. The few museums that use the app have had contrasting approaches to their content creation. This study employs a case study methodology to examine the use of TikTok by the Uffizi Gallery (Florence) and the Rijksmuseum (Amsterdam) through a visual content analysis of their posts. Considering theories of learning and teaching in the museum, as well as of connectivism, the central guiding questions are: how are museums using TikTok? In what ways do these short-form videos connect visitors with their collections? What are the implications for museum education? The findings from this study reveal that museums use either expository and didactic teaching practices on TikTok or performative TikTok practices, which include collaboration with youth. The study has implications for museum educators who wish to use TikTok as an educational tool.
Embedded Radar Sensing in Communication Waveforms: Algorithms and Trade-off

Joint communication and sensing (JCS) is a promising technology that shares the same waveform for both the functions of communications and sensing, in order to improve the efficiencies of frequency spectrum and power. In this paper, the approach of reusing communication waveforms for sensing is studied. From the viewpoint of frequency domain, the communication signals provide bandwidth for radar ranging; from the viewpoint of time domain, the random information symbols in the communication signal offer timing information via the autocorrelation function. Both cases of single-carrier and multi-carrier communication signals are studied for embedding the sensing function. The trade-off between communication and sensing performances is studied.
The STING Ligand and Delivery System Synergistically Enhance the Immunogenicity of an Intranasal Spike SARS-CoV-2 Vaccine Candidate

The respiratory organ serves as a primary target site for SARS-CoV-2. Thus, the vaccine-stimulating immune response of the respiratory tract is significant in controlling SARS-CoV-2 transmission and disease development. In this study, mucoadhesive nanoparticles were used to deliver SARS-CoV-2 spike proteins (S-NPs) into the nasal tracts of mice. The responses in the respiratory organ and the systemic responses were monitored. The administration of S-NPs along with cGAMP conferred a robust stimulation of antibody responses in the respiratory tract, as demonstrated by an increase of IgA and IgG antibodies toward the spike proteins in bronchoalveolar lavages (BALs) and the lungs. Interestingly, the elicited antibodies were able to neutralize both the wild-type and Delta variant strains of SARS-CoV-2. Significantly, the intranasal immunization also stimulated systemic responses. This is evidenced by the increased production of circulating IgG and IgA, which were able to neutralize and bind specifically to the SARS-CoV-2 virion and spike protein. Additionally, this intranasal administration potently activated a splenic T cell response and the production of Th-1 cytokines, suggesting that this vaccine may well activate a cellular response in the respiratory tract. The results demonstrate that STING agonist strongly acts as an adjuvant to the immunogenicity of S-NPs. This platform may be an ideal vaccine against SARS-CoV-2.