Dependent Measurements Research Articles

Enhancing vehicular platoon stability in the presence of communication Cyberattacks: A reliable longitudinal cooperative control strategy

This study proposes a reliable longitudinal distributed control strategy for connected and automated vehicles (CAVs) in the presence of communication cyberattacks. The proposed strategy is designed to utilize dependable measurements from onboard sensors to evaluate the reliability of vehicle-to-vehicle (V2V) information and enhance the platoon string stability in an integrated manner. Specifically, this paper proposes a real-time reliability evaluation mechanism for the ego vehicle based on sensing and communication information from multiple predecessors, employing an upper-tailed chi-squared test. The mechanism is then incorporated into a distributed multi-predecessor linear feedback controller to adaptively weigh the preceding vehicles’ information, ensuring robustness against cyberattacks and maintaining the string stability of the vehicular platoon. To better understand the whole framework, sufficient conditions of true string stability and pseudo string stability are theoretically derived, unveiling the disturbance amplification jointly impacted by measurement accuracy of onboard sensors, cyberattack severity in V2V communication, and control parameters. Numerical experiments are conducted to validate the controller across various types of communication cyberattacks. The results suggest that the proposed control strategy can significantly alleviate the impact of cyberattacks and simultaneously dampen traffic oscillations effectively.

Using mobile devices for driving test assessment: a study of acceleration and GPS data

Using mobile devices for driving test assessment: a study of acceleration and GPS data

Effect of drug therapies on self‐reported chemosensory outcomes after COVID‐19

AbstractObjectiveThe aim of this study was to assess the relative efficacy of medications used following severe acute respiratory syndrome coronavirus‐2 (SARS‐CoV‐2) infection on self‐reported alterations in taste and/or smell function.MethodsSeven hundred and fourteen persons with self‐reported postcoronavirus disease 2019 (post‐COVID‐19) chemosensory disorders were personally interviewed regarding specific medications they were administered following the acute phase of the disease. The dependent measure—self‐reported total recovery of chemosensory symptoms—was subjected to stepwise logistic regression. Independent predictors included demographic and clinical variables, in addition to specific medications used to mitigate disease symptoms (i.e., systemic corticosteroids, oseltamivir, vitamin C, ibuprofen, hydroxychloroquine, azithromycin, ivermectin, nitazoxanide, anticoagulants, and zinc).ResultsThe median time between COVID‐19 symptom onset and the interviews was 81 days (interquartile range: 60–104). Of the 714 subjects, 249 (34.9%) reported total recovery of their chemosensory function; 437 (61.2%) had at least one treatment since the beginning of the disease. Women and those with more comorbidities had undergone more treatments. The recovery rates of the treated and nontreated groups did not differ significantly. Nonetheless, respondents who had used nitazoxanide tended to have a higher rate of self‐reported taste or smell recovery. Those who took oral zinc were less likely to improve.ConclusionsNo medication employed during the first months after SARS‐CoV‐2 infection had a clear positive effect on returning self‐reported smell or taste function to normal, although nitrazoxide trended in a positive direction. Oral zinc had a negative effect on the reported recovery of these senses.

Examining Childhood Behavior Problems as Predictors of Alcohol Dependency in Emerging Adulthood: A Latent Class Analysis Approach

There is limited research on within-person clustering of early-life behavioral issues and risk for alcohol use issues. This study examined the relevance of childhood behavior problem clusters for predicting alcohol problems in emerging adulthood. This study examined full behavioral profiles as predictors of alcohol-related problems, rather than individual behaviors. The Pathways to Desistance dataset comprised of 1354 justice-involved youth followed across seven years post-adjudication collected from Maricopa County, Arizona and Philadelphia Pennsylvania were analyzed. Latent class analysis was used to identify clusters of childhood behavioral problems (cheating, disturbing class, getting drunk/stoned, stealing, fighting). Regression modeling was used to examine various alcohol use outcomes. Findings indicated that a three-class model best fit the data (Low; FDC; High). Assignment to the High class predicted greater social consequences of alcohol use, but this effect was only marginally significant. No significant effects were observed for either alcohol dependence measure.

Development and initial validation of a new self-report measure to assess perceived dependence on tobacco and nicotine products

How nicotine is administered has evolved from cigarettes to various delivery systems. Assessing perceived dependence on nicotine-containing products now requires accounting for product specificity while allowing comparisons across products and users. This study aims to develop a new self-report measure to assess perceived dependence on tobacco and nicotine products (TNPs) among exclusive and poly-TNP users. A draft version of the new measure, the ABOUT-Dependence, was constructed based on literature review, qualitative research, and expert opinion. Data for scale formation and psychometric assessment was obtained through a US-based web survey (n = 2334) that included additional dependence measures for convergent validity assessment. Qualitative research confirmed a preliminary conceptual framework with seven sub-concepts. Following a cognitive debriefing, 19 items were considered to best represent the different sub-concepts. Psychometric findings supported a three-domain structure [i.e., behavioral impact (five items), signs and symptoms (five items), and extent/timing of use (two items)] and an overall total composite score. The data confirmed convergent and known-group validity, as well as test–retest reliability. The ABOUT-Dependence is a 12-item, psychometrically sound, self-report measure that may be used as a tool for research and further understanding of perceived dependence across the spectrum of TNP and TNP users.

Utilizing video prompting with people with severe disabilities: A systematic literature review

The aim of this review was to discover the effects of video prompting on learning new skills among people with severe disabilities. We systematically searched four databases: APA PsycINFO, Academic Search Complete, Social Work Abstracts, and ERIC. Data were collected on experimental designs, participants’ demographic background, types of skills taught, characteristics of the video prompting, implementer roles and settings, dependent measures, maintenance and generalization, and success estimates. We identified 16 peer-reviewed studies published in English between 1992 and 2022. Findings of this review indicated that video prompting was an effective strategy across the studies to improve work, academic, and functional skills. Video prompting also improved maintenance and generalization of the assigned tasks. We discussed the findings to provide investigators and professionals with some recommendations for further studies.

Antiferromagnetic resorcinol bridged dinuclear square-planar copper (II) complexes: Syntheses, structural, spectroscopic and magnetic properties

A new C2-symmetric Schiff base ligand (H2L) featuring a core resorcinol bridging unit has been created, utilizing the Duff formylation reaction followed by the Schiff base condensation reaction. The ligand was characterized by various spectroscopic techniques.. Cu(II) salts with varying coordinating anions (Cl− and SCN−) in methanol were allowed to react with this ligand in a 2:1 M ratio to create dinuclear Cu(II) complexes. The complexes were isolated in pure form and characterized by, elemental analysis,single crystal X-ray crystallography and various spectroscopic techniques. X-ray analysis discloses that both complexes are dinuclear, where the ligand (H2L) being tridentate in nature, coordinates to Cu(II) through its two N donor atoms and one O donor atom in the equatorial positions. The respective anions (−Cl− for 1 and –SCN− for 2) coordinate to Cu(II) to complete its square planar geometry. Temperature dependent magnetic susceptibility measurements indicate weak antiferromagnetic exchange interactions with a coupling constant of J = −5.9(1) cm−1 and g = 2.148(1) for 1 and J = −10.08(1) cm−1 and g = 2.106(1) for 2.

Rearranged dependence measures

Rearranged dependence measures

The Effects of Boxing Glove Design on Thumb Position When Making a Fist for Striking.

Peveler, WW, Schoffstall, J, Coots, J, Kilian, J, and Glauser, J. The effects of boxing glove design on thumb position when making a fist for striking. J Strength Cond Res 38(5): 948-950, 2024-It has been suggested that boxing glove design alters thumb position increasing the risk of injury. The purpose of this study was to determine the effects of boxing glove design on thumb joint angles when making a fist. Ten experienced fighters participated in this study. A DEXA scan was used to produce an x-ray image of thumb position for all conditions (no gloves and 10-oz boxing gloves). Mean values for dependent measures were compared using a paired-sample T test and an alpha of 0.05. The carpometacarpal (CMC) joint angle was significantly different between no glove (14.1 ± 6.54°) and boxing glove (34.2 ± 7.60°) at p ≤ 0.001. The metacarpophalangeal (MP) joint angle was significantly different between no glove (132.6 ± 12.74°) and boxing glove (149.40 ± 8.15°) at p ≤ 0.001. The IP joint angle was not significantly different between no glove (135.50 ± 19.12°) and boxing glove (144.40 ± 17.39°) at p = 0.269. The perpendicular distance from the second metacarpal of the hand to the center of the MP joint was significantly different between no glove (0.48 ± 0.54 cm) and boxing glove (1.84 ± 0.29 cm) at p ≤ 0.001. Use of a boxing glove resulted in abduction of the thumb away from the hand and increased CMC and MP joint angles that were significantly different in relation to making a fist without a glove. Information from this study may provide insight into the high rate of thumb injury and provide insight for future boxing glove design.

Predictive analysis of concrete slump using a stochastic search-consolidated neural network

Attaining a dependable measurement of concrete slump is crucial as it is a valuable indication of concrete workability. On the other hand, complexities associated with costly traditional approaches have driven engineers to use indirect efficient models such as metaheuristic-based machine learning for approximating the slump. While the literature shows promising application of some metaheuristic techniques for this purpose, the large variety of these algorithms calls for evaluating the most capable ones to keep the solution updated. Stochastic fractal search (SFS) is one of the most powerful optimization algorithms in the literature that has not received appropriate attention in analyzing concrete mechanical parameters. In the present research, a multi-layer perceptron neural network (NN-MLP), is enhanced using the SFS. The proposed SFS-NN-MLP model aims to predict the slump based on the amount of ingredients in the mixture, as well as the curing age of specimens. Accuracy assessment revealed that the proposed model can deal with the assigned task with excellent accuracy. It indicates that the SFS could properly tune the parameters required for training the NN-MLP, and consequently, the trained network could reliably calculate the slump of specimens that were not analyzed before. For comparative validation, the SFS was replaced with two similar optimizers, namely elephant herding optimization algorithm (EHO) and slime mould algorithm (SMA). Based on the calculated mean square errors of 5.6526, 6.1129, and 7.3561 along with mean absolute errors of 4.6657, 5.0078, and 6.3066, as well as the percentage-Pearson correlation coefficients of 78.06 %, 73.95 %, and 58.11 %, respectively for the SFS-NN-MLP, EHO–NN–MLP, and SMA–NN–MLP, it was shown that the SFS-NN-MLP is the most accurate predictor. Hereupon, the SFS-NN-MLP model is recommended to be effectively used for obtaining a cost-efficient approximation of concrete slump in real-world projects.

Perception of cyberdating abuse from the victims’ perspective: effect of the type of suffered behavior and gender

AbstractDirect cyberaggression and cybercontrol, although both are manifestations of cyberdating abuse (CDA), seem to show different intentionality and impact. Furthermore, how young people perceive and experience CDA within heterosexual relationships varies by gender. However, no studies have examined whether the victims’ perception of offense and severity in an incident of CDA and the motivations that they attributed to their aggressor’s behavior vary by the type of victimization and gender. This research (N = 92 participants; 56.5% men and 43.5% women) was aimed at addressing this gap in the literature. Participants randomly completed an essay in which the CDA victimization (direct cyberaggression vs. cybercontrol) was manipulated and then responded to dependent measures. The results showed that (a) direct cyberaggression (vs. cybercontrol ) victimization was perceived as more offensive and severe; (b) women (vs. men) perceived greater offense and severity in a CDA victimization incident; (c) direct cyberaggression victimization was more frequently attributed to anger/frustration and online disinhibition, whereas cybercontrol victimization was attributed to personality and jealousy; and (d) a higher percentage of men indicated that their partners had perpetrated CDA against them because of the partners’ personality, whereas a higher percentage of women indicated that they had been victims of CDA because their partners experienced online disinhibition. We discussed the theoretical and practical contributions of our findings in the CDA field.

COAALA: A Novel Approach to Understanding Extreme Stock–Bond Comovement

Abstract This article proposes a novel copula model to understand the dependence between extreme variations in stock and government bond returns. This model is used to introduce a tail-based extension of the safe haven concept, which we refer to as a tail risk dampener. Our findings reveal significant cross-country differences in stock–bond local tail dependence and tail risk dampening abilities. Some countries’ bond market can lessen the impact on portfolio returns of extreme negative stock returns, while for others no such negative tail comovement is found. This tail comovement is also not always aligned with global comovement between stocks and bonds. The article concludes that a comprehensive understanding of the comovement and the resulting diversification potential between stock and bond returns necessitates complementing global measures of dependence with local tail measures.

Optimizing ultrasound Doppler measurement precision: a comprehensive experimental approach

Experimental studies were conducted utilizing advanced equipment comprising a generator, tubing system, pump module, sonographer, and PC. The generator serves as the central component connected by tubes to the pump, forming a closed circuit. A tee in the tubing set prevents Doppler fluid leakage, with the fluid poured through a special funnel into the circuit post-connection. The Doppler fluid is evenly mixed by shaking its bottle to enhance signal strength. The entire system is sealed. The centrifugal pump generates continuous flows; different power modes were tested for 30 minutes each, with frequency shifts measured at angles α=15°, 30°, and 60°. Pump disconnection from the power supply prevents liquid entry during tubing connection. The pump module housing includes ventilation holes. A 3 by 8 cm Doppler prism, treated with ultrasonic gel, was connected to the tubing to capture data. A sonographer emitting signals at 2 MHz, with a gain range of 10 to 40 dB, was utilized for sound spectra analysis. High-mode operation, 4 microseconds pulse duration, and a 32 microseconds receiver gate were set. The ultrasound apparatus dimensions were 230 x 236 x 168 mm, with a power consumption of 27 VA. Data visualization was facilitated by an LED panel, with adjustable acoustic signal volume. A USB interface enabled connection to a PC for ease of use and data analysis. Special software facilitated graph generation depicting frequency vs. time dependence measurements. Frequency analysis yielded average (f-mean) and maximum (f-max) frequency values, with f-mean utilized to measure Doppler effect frequency shift. The presented data showcases various pump speeds and incidence angles, each yielding distinctive frequency characteristics.

EXPRESS: No Comments (from You): Understanding the Interpersonal and Professional Consequences of Disabling Social Media Comments

Presumably in an effort to reduce cyberbullying and promote mental health, online influencers often limit viewers’ ability to post comments. In this research, we find that influencers incur significant interpersonal and professional repercussions for doing so. Across a Twitter dataset and six experiments utilizing both consequential and hypothetical dependent measures, we find that consumers form more negative impressions of and are less persuaded by influencers who disable social media comments. These outcomes are driven by the perception that the influencer is less receptive to consumer voice (e.g., consumers’ thoughts, opinions, and suggestions) and, thus, less sincere. However, we find that this effect is mitigated in situations where consumers feel that it is reasonable for influencers to prioritize self-protection.

Visual vertigo and motion sickness is different between persistent postural-perceptual dizziness and vestibular migraine

IntroductionPersistent postural-perceptual dizziness (PPPD) and vestibular migraine (VM) share symptoms of visual vertigo and motion sickness that can be confusing for clinicians to distinguish. We compare the severity of these symptoms and dynamic subjective visual vertical (dSVV) in these two common vestibular conditions. MethodTwenty-nine patients with PPPD, 37 with VM, and 29 controls were surveyed for subjective symptoms using the visual vertigo analogue scale (VVAS) and motion sickness susceptibility questionnaire during childhood (MSA) and the past 10 years (MSB). dSVV is a measure of visual dependence measures perception of verticality against a rotating background (5 deg./s). ResultsVVAS revealed contextual differences for dizziness between those with PPPD and VM. Ratings of visual vertigo were most severe in PPPD, less in VM, and mild in controls (VVAS PPPD 27.1, VM 11.2, control 4.6, p < 0.001). MSA was more severe in VM than in PPPD or control (12.8 vs 7.6 vs 8.5, p = 0.01). MSB was more severe in VM than controls (MSB score 12.9 VS 8.1 p = 0.009) but was not different than PPPD (MSB score 10.0, p = 0.10). dSVV alignment was similar among the three groups (p = 0.83). Both VM and PPPD groups had greater simulator sickness than controls after completing the dSVV. ConclusionsPatients with PPPD report more visual vertigo than those with VM, but a history of motion sickness as a child is more common in VM. Additionally, the environmental context that induces visual vertigo is different between PPPD and VM.

Multivariate directional tail-weighted dependence measures

We propose a new family of directional dependence measures for multivariate distributions. The family of dependence measures is indexed by α≥1. When α=1, they measure the strength of dependence along different paths to the joint upper or lower orthant. For α large, they become tail-weighted dependence measures that put more weight in the joint upper or lower tails of the distribution. As α→∞, we show the convergence of the directional dependence measures to the multivariate tail dependence function and characterize the convergence pattern with an asymptotic expansion. This expansion leads to a method to estimate the multivariate tail dependence function using weighted least square regression. We develop rank-based sample estimators for the tail-weighted dependence measures and establish their asymptotic distributions. The practical utility of the tail-weighted dependence measures in multivariate tail inference is further demonstrated through their application to a financial dataset.

Universal Dielectric Response in Electronically Correlated Functional Oxides CaCu3Ti4O12, LaFeO3, YFe0.5Cr0.5O3 and their Nanocomposites: A Comparative Study

AbstractCaCu3Ti4O12 (CCTO), LaFeO3 (LFO) and YFe0.5Cr0.5O3 (YFCO) were synthesized via conventional sol–gel auto–combustion method using citric acid as gelling agent. The X‐ray diffraction analysis revealed the phase purity of the samples. The energy dispersive X‐ray (EDX) analysis confirms the stoichiometry of the pristine phases. The average particle size obtained from the field emission Scanning electron microscopy (FE−SEM) images revealed that CaCu3Ti4O12 exhibits a broad range of particle size starting from a couple of hundreds of nanometer to micrometer, whereas that for LaFeO3 and YFe0.5Cr0.5O3 are about 110 nm and 50 nm, respectively. We have fabricated the new composites: CCTO–LFO, CCTO–YFCO and LFO–YFCO. The grain sizes of the composite phases are consistent with the pristine phases as they are prepared by at lower sintering temperatures and duration. The dielectric properties of these ceramic composites were compared to those of the pristine phases. The temperature and frequency dependent dielectric measurements reveal a wide range of dielectric constant with moderate tan δ values. The temperature dependent dielectric constant of the investigated samples varies from 100 to 1500 at room temperature and the data have been analyzed using universal dielectric response (UDR) model.

Correlates of Nicotine Dependence Among Current Cigarette Smokers in Nigeria

BACKGROUND:_ _The level of dependence on nicotine, the main addictive chemical in tobacco, is a substance-related disorder that can be utilized to characterize diverse populations of cigarette smokers and also to determine the effectiveness of individualized smoking cessation intervention programs. AIM: This study investigates the correlates of nicotine dependence among current established cigarette smokers in Nigeria. SETTINGS:_ _We conducted a cross-sectional survey among a cohort of current established cigarette smokers (100+ sticks in a lifetime and someday/everyday cigarette smokers) in Lagos, Nigeria. METHODS: The dependent measure was nicotine dependence (ND) using the Fagerstrom scale; independent measures were demographics, harm perception, binge alcohol drinking, and past-year internalizing and externalizing problems. Logistic regression models were used to investigate factors associated with severe nicotine dependence. RESULTS: The analytic sample was drawn from 487 adults. Within our sample, 69%, 27%, and 3.9% had low, moderate, and severe ND levels, respectively (_p-value_: 0.02); while among daily cigarette smokers, 48.1%, 44.3%, and 7.6% had low, moderate and severe ND levels, respectively (_p-value_: &lt;0.001). In the regression analysis, older age (aOR:1.03; 95% CI:1.01,1.06) and being male (vs, female) (aOR:3.70; 95% CI:1.58,8.15), and reduced cigarette harm perceptions (aOR:2.85; 95% CI: 1.75,4.66) were associated with increased odds of moderate/severe ND. CONCLUSION: Older age, males, and those with reduced harm perceptions about cigarette use had increased odds of moderate/severe ND. Our preliminary findings provide baseline results characterizing use behaviors among relatively understudied current established cigarette smokers in Nigeria. CONTRIBUTIONS: All Authors were involved inConceptualization, Data Curation, Formal Analysis, Writing - Review and Editing and Project Administration.

Multi-tier heterogeneous Model for real-time hazard detection in Air Particulate

ABSTRACT In recent years, several nations have built an environmental gathering data system. Using multi-tier heterogeneous networks to evaluate concentrations for an infinite number of contaminants, a novel mathematical framework was suggested in this study. The efficiency of the suggested method was examined using actual measurements of municipal particle pollution concentrations. The method can detect local inhomogeneities that expose people to dangerous air pollution in actual time, such as a lack of toxin dispersion and concentration. Moreover, real-time inhomogeneity identification in a contaminated environment is now possible thanks to technology. In credible emergency scenarios with contaminated air, the value of local heterogeneity was calculated at 0.015 level or 8 counts. As a result, the level of heterogeneity was decreased to 0.0025 units or 2 counts. Long Short-Term Memory (LSTM) provided precise data on the accessible bandwidth and co-channel disruption, making the suggested technique easy to apply and adaptable to any heterogeneous network design. The labeling & judging elements would then be built once the expected outcome of the suggested approach had been evaluated using precision, recall, F1 scoring, and dependability measures. The overall results demonstrate that our performance using LSTM was superior to the Hybrid Ant Colony Optimizer (HACO) method.

The Impact of Transparency on Driver Trust and Reliance in Highly Automated Driving: Presenting Appropriate Transparency in Automotive HMI

Automation transparency offers a promising way for users to understand the uncertainty of automated driving systems (ADS) and to calibrate their trust in them. However, not all levels of information may be necessary to achieve transparency. In this study, we conceptualized the transparency of the automotive human–machine interfaces (HMIs) in three levels, using driving scenarios comprised of two degrees of urgency to evaluate drivers’ trust and reliance on a highly automated driving system. The dependent measures included non-driving related task (NDRT) performance and visual attention, before and after viewing the interface, along with the drivers’ takeover performance, subjective trust, and workload. The results of the simulated experiment indicated that participants interacting with an SAT level 1 + 3 (system’s action and projection) and level 1 + 2 + 3 (system’s action, reasoning, and projection) HMI trusted and relied on the ADS more than did those using the baseline SAT level 1 (system’s action) HMI. The low-urgency scenario was associated with higher trust and reliance, and the drivers’ visual attention and NDRT performance improved after viewing the HMI, but not statistically significantly. The findings verified the positive role of the SAT model regarding human trust in the ADS, especially in regards to projection information in time-sensitive situations, and these results have implications for the design of automotive HMIs based on the SAT model to facilitate the human–ADS relationship.