Evaluation of a Nondepleted Plasma Multiprotein-Based Model for Discriminating Psychiatric Disorders Using Multiple Reaction Monitoring-Mass Spectrometry: Proof-of-Concept Study.

Psychiatric evaluation relies on subjective symptoms and behavioral observation, which sometimes leads to misdiagnosis. Despite previous efforts to utilize plasma proteins as objective markers, the depletion method is time-consuming. Therefore, this study aimed to enhance previous quantification methods and construct objective discriminative models for major psychiatric disorders using nondepleted plasma. Multiple reaction monitoring-mass spectrometry (MRM-MS) assays for quantifying 453 peptides in nondepleted plasma from 132 individuals [35 major depressive disorder (MDD), 47 bipolar disorder (BD), 23 schizophrenia (SCZ) patients, and 27 healthy controls (HC)] were developed. Pairwise discriminative models for MDD, BD, and SCZ, and a discriminative model between patients and HC were constructed by machine learning approaches. In addition, the proteins from nondepleted plasma-based discriminative models were compared with previously developed depleted plasma-based discriminative models. Discriminative models for MDD versus BD, BD versus SCZ, MDD versus SCZ, and patients versus HC were constructed with 11 to 13 proteins and showed reasonable performances (AUROC = 0.890-0.955). Most of the shared proteins between nondepleted and depleted plasma models had consistent directions of expression levels and were associated with neural signaling, inflammatory, and lipid metabolism pathways. These results suggest that multiprotein markers from nondepleted plasma have a potential role in psychiatric evaluation.

Multiplexed Quantitative Proteomics Reveals Proteomic Alterations in Two Rodent Traumatic Brain Injury Models.

In many cases of traumatic brain injury (TBI), conspicuous abnormalities, such as scalp wounds and intracranial hemorrhages, abate over time. However, many unnoticeable symptoms, including cognitive, emotional, and behavioral dysfunction, often last from several weeks to years after trauma, even for mild injuries. Moreover, the cause of such persistence of symptoms has not been examined extensively. Recent studies have implicated the dysregulation of the molecular system in the injured brain, necessitating an in-depth analysis of the proteome and signaling pathways that mediate the consequences of TBI. Thus, in this study, the brain proteomes of two TBI models were examined by quantitative proteomics during the recovery period to determine the molecular mechanisms of TBI. Our results show that the proteomes in both TBI models undergo distinct changes. A bioinformatics analysis demonstrated robust activation and inhibition of signaling pathways and core proteins that mediate biological processes after brain injury. These findings can help determine the molecular mechanisms that underlie the persistent effects of TBI and identify novel targets for drug interventions.

Are Instagram Gym Advertisements Working Out? An Experimental Study of Model Body-Size and Slogan-Type.

Previous health communication research has demonstrated the negative psychological and health effects of depicting thin-sized models in mass media advertisements including on social media sites such as Instagram. However, gym advertisements are one common source for the presentation of lean and thin-sized models on Instagram. Therefore, the current study guided by social comparison theory and signaling theory aimed to experimentally examine the effect of thin-sized models relative to plus-sized models as well as slogan-type (health and wellness versus physique-based) on women's appearance comparison, body satisfaction, perceived gym fit, and intentions to join the gym. A sample of 217 undergraduate students who identified as women were randomly assigned to one of four Instagram gym advertisement conditions varying in model body-size and slogan-type. Appearance comparisons, perceived gym fit, and intentions to join the gym were measured post advertisement exposure and body satisfaction was measured pre-and-post advertisement exposure. As expected, exposure to Instagram gym advertisements featuring thin-sized models resulted in greater appearance comparisons and lower body satisfaction than exposure to Instagram gym advertisements featuring plus-sized models. Moreover, the combination of plus-sized models with health and wellness slogans in Instagram gym advertisements resulted in greater gym fit perceptions although there was no effect of model body-size and slogan-type on intentions to join the gym. This study supports social comparison theory, signaling theory, and practically the findings indicate that Instagram gym advertisements that depict plus-sized models (versus thin) with health-and-wellness slogans (versus physique) generate fewer body image concerns and lead to greater gym fit perceptions.

Pyridaben induces apoptosis and inflammation in bovine mammary epithelial cells by disturbance of calcium homeostasis and upregulation of MAPK cascades.

Pyridaben is a widely used pyridazinone insecticide used to protect crops against insects and mites. The toxicity of pyridaben has been reported in mice, zebrafish, the human reproductive system, nervous system, and respiratory system. Pyridaben can also be ingested by dairy cattle through feed. However, the toxicity of pyridaben in cattle has not been investigated on. Thus, this study focuses on demonstrating the toxicity of pyridaben in the bovine mammary glands and with the generation milk in the bovine mammary epithelial cells, as it is crucial to the continuance of the amount and the quality of the milk produced. We started by analyzing the intracellular toxicity along with the impact of pyridaben on the cell cycle distribution and the transcription of associated genes. Pyridaben treatment induced cell cycle arrest accompanied the disruption in G1 and S phases with imbalanced cytosolic and mitochondrial calcium ion homeostasis, and caused a destruction of mitochondrial membrane potential. This eventually led to apoptosis of MAC-T cells. We also investigated in the impact that pyridaben has on MAPK signaling proteins, where phosphorylation of ERK1/2, JNK, and p38 were upregulateed. Moreover, examination of the effect of pyridaben in the inflammatory genes revealed hyperactivation of the inflammatory gene transcription. This is the first research to assess the negative outcomes that pyridaben could impose on dairy cattle and milk production.

Assessing workload in using electromyography (EMG)-based prostheses.

Using prosthetic devices requires a substantial cognitive workload. This study investigated classification models for assessing cognitive workload in electromyography (EMG)-based prosthetic devices with various types of input features including eye-tracking measures, task performance, and cognitive performance model (CPM) outcomes. Features selection algorithm, hyperparameter tuning with grid search, and k-fold cross-validation were applied to select the most important features and find the optimal models. Classification accuracy, the area under the receiver operation characteristic curve (AUC), precision, recall, and F1 scores were calculated to compare the models' performance. The findings suggested that task performance measures, pupillometry data, and CPM outcomes, combined with the naïve bayes (NB) and random forest (RF) algorithms, are most promising for classifying cognitive workload. The proposed algorithms can help manufacturers/clinicians predict the cognitive workload of future EMG-based prosthetic devices in early design phases.Practitioner summary: This study investigated the use of machine learning algorithms for classifying the cognitive workload of prosthetic devices. The findings suggested that the models could predict workload with high accuracy and low computational cost and could be used in assessing the usability of prosthetic devices in the early phases of the design process.Abbreviations: 3d: 3 dimensional; ADL: Activities for daily living; ANN: Artificial neural network; AUC: Area under the receiver operation characteristic curve; CC: Continuous control; CPM: Cognitive performance model; CPM-GOMS: Cognitive-Perceptual-Motor GOMS; CRT: Clothespin relocation test; CV: Cross validation; CW: Cognitive workload; DC: Direct control; DOF: Degrees of freedom; ECRL: Extensor carpi radialis longus; ED: Extensor digitorum; EEG: Electroencephalogram; EMG: Electromyography; FCR: Flexor carpi radialis; FD: Flexor digitorum; GOMS: Goals, Operations, Methods, and Selection Rules; LDA: Linear discriminant analysis; MAV: Mean absolute value; MCP: Metacarpophalangeal; ML: Machine learning; NASA-TLX: NASA task load index; NB: Naïve Bayes; PCPS: Percent change in pupil size; PPT: Purdue Pegboard Test; PR: Pattern recognition; PROS-TLX: Prosthesis task load index; RF: Random forest; RFE: Recursive feature selection; SHAP: Southampton hand assessment protocol; SFS: Sequential feature selection; SVC: Support vector classifier.

Automated vehicles for older adults with cognitive impairment: a survey study.

As the population is ageing, the number of older adults with cognitive impairment (CI) is increasing. Automated vehicles (AVs) can improve independence and enhance the mobility of these individuals. This study aimed to: (1) understand the perception of older adults (with and without CI) and stakeholders providing services and supports regarding care and transportation about AVs, and (2) suggest potential solutions to improve the perception of AVs for older adults with mild or moderate CI. A survey was conducted with 435 older adults with and without CI and 188 stakeholders (e.g. caregivers). The results were analysed using partial least square - structural equation modelling and multiple correspondence analysis. The findings suggested relationships between older adults' level of cognitive impairment, mobility, knowledge of AVs, and perception of AVs. The results provided recommendations to improve older adults' perception of AVs including education and adaptive driving simulation-based training.Practitioner summary: This study investigated the perception of older adults and other stakeholders regarding AVs. The findings suggested relationships between older adults' level of cognitive impairment, mobility, knowledge of AVs, and perception of AVs. The results provided guidelines to improve older adults' perception of AVs.

Evaluating Linear Ion Trap for MS3-Based Multiplexed Single-Cell Proteomics.

There is a growing demand to develop high-throughput and high-sensitivity mass spectrometry methods for single-cell proteomics. The commonly used isobaric labeling-based multiplexed single-cell proteomics approach suffers from distorted protein quantification due to co-isolated interfering ions during MS/MS fragmentation, also known as ratio compression. We reasoned that the use of MS3-based quantification could mitigate ratio compression and provide better quantification. However, previous studies indicated reduced proteome coverages in the MS3 method, likely due to long duty cycle time and ion losses during multilevel ion selection and fragmentation. Herein, we described an improved MS acquisition method for MS3-based single-cell proteomics by employing a linear ion trap to measure reporter ions. We demonstrated that linear ion trap can increase the proteome coverages for single-cell-level peptides with even higher gain obtained via the MS3 method. The optimized real-time search MS3 method was further applied to study the immune activation of single macrophages. Among a total of 126 single cells studied, over 1200 and 1000 proteins were quantifiable when at least 50 and 75% nonmissing data were required, respectively. Our evaluation also revealed several limitations of the low-resolution ion trap detector for multiplexed single-cell proteomics and suggested experimental solutions to minimize their impacts on single-cell analysis.

Pendimethalin exposure disrupts mitochondrial function and impairs processes related to implantation.

In brief: Pendimethalin as a dinitroaniline herbicide is used to eliminate weeds during the cultivation of various crops such as grains, fruits, and vegetables. This study reveals that pendimethalin exposure at various concentrations led to disruption in Ca2+ homeostasis and mitochondrial membrane potential, as well as dysregulation of the mitogen-activated protein kinase signaling pathway and implantation-related genes in porcine trophectoderm and uterine luminal epithelial cells. Abstract: The use of herbicides is a major control method in agriculture. Pendimethalin (PDM) has been increasingly used as a herbicide for approximately 30 years. PDM has been reported to cause various reproductive problems, but its toxicity mechanism in the pre-implantation stage has not been investigated in detail. Herein, we studied the effects of PDM on porcine trophectoderm (pTr) and uterine luminal epithelial (pLE) cells and identified a PDM-mediated anti-proliferative effect in both cell types. PDM exposure generated intracellular reactive oxygen species, induced excessive Ca2+ influx into mitochondria, and activated mitogen-activated protein kinase signaling pathway. Ca2+ burden resulted in the dysfunction of mitochondria and eventual disruption of Ca2+ homeostasis. Further, PDM-exposed pTr and pLE cells showed cell cycle arrest and programmed cell death. In addition, a decrease in migration ability and dysregulated expression of genes related to the functioning of pTr and pLE cells was evaluated. This study provides insight into time-dependent transitions within the cell environment after PDM exposure and elucidates a detailed mechanism of induced adverse effects. These results imply that PDM exposure can potentially cause toxic effects on the implantation-related process in pigs. Moreover, to the best of our knowledge, this is the first study to describe the mechanism by which PDM induces these effects, enhancing our understanding of the toxicity of this herbicide.

Synthesis of Tricyclic Tetrazoles by Cascade Diazotization/Intramolecular Radical C-H Heteroarylation of Arenes.

A cascade diazotization/intramolecular radical C-H heteroarylation of 1-benzyloxy-5-aminotetrazoles and 1-phenethyl-5-aminotetrazoles as substrates using sodium nitrite and acetic acid without any heating, catalysis, irradiation, or electrolysis is reported. This one-pot reaction afforded the desired tricyclic tetrazole products in good yields (up to 94%) without isolation of the diazonium salt intermediate under mild reaction conditions.

Influence of joint volume on range of motion after arthroscopic rotator cuff repair.

BACKGROUND: Capsular contracture is a well-known etiology in the primary stiff shoulder; thus capsular contracture and resultant decreased joint volume could lead to postoperative stiffness, which is a commonly reported morbidity after arthroscopic rotator cuff repair (ARCR). The purpose of this study was (1) to quantify the joint volume (total joint volume and each quadrant compartmental volume) using computed tomography arthrography (CTA) and (2) to demonstrate the relationship between joint volume and postoperative range of motion (ROM) after ARCR. MATERIALS AND METHODS: Eighty-three patients (60 ± 5.11 years, men = 26, women = 57) who had undergone ARCR between January 2015 to December 2020 due to small to medium full-thickness tear and followed by CTA 6 months postoperatively were retrospectively reviewed. An image reconstruction program (3D Slicer, version 4.11.2 software) was used to calculate the joint volume (total joint volume and quadrant compartment joint volumes; anteroinferior, anterosuperior, posterosuperior and posteroinferior). For shoulder ROM, data including scaption (Sc), external rotation on side (ERs), external rotation at 90° (ER90), and internal rotation on back (IRb) were collected 6 months postoperatively. An evaluation of the correlation between joint volume and each shoulder motion was performed. RESULTS: There were moderate correlations between the total joint volume and each motion (Sc: Pearson coefficient, 0.32, p = 0.0047; ERs: Pearson coefficient, 0.24, p = 0.0296; ER90: Pearson coefficient, 0.33, p = 0.0023; IRb: Pearson coefficient, 0.23, p = 0.0336). Among the quadrant compartments, the anteroinferior (Sc: Pearson coefficient, 0.26, p = 0.0199; ERs: Pearson coefficient, 0.23, p = 0.0336; ER90: Pearson coefficient, 0.25, p = 0.0246; IRb: Pearson coefficient, 0.26, p = 0.0168) and posterosuperior (Sc: Pearson coefficient, 0.24, p = 0.029; ER90: Pearson coefficient, 0.29, p = 0.008; IRb: Pearson coefficient, 0.22, p = 0.0491) and posteroinferior (Sc: Pearson coefficient, 0.30, p = 0.0064; ER90: Pearson coefficient, 0.29, p = 0.0072) showed moderate correlations with each shoulder motion. CONCLUSION: Total joint volume, anteroinferior compartment joint volume, posterosuperior compartment joint volume and posteroinferior compartment joint volume were related to postoperative ROM after ARCR. Perioperative methods to increase the joint volume, especially the anteroinferior, posterosuperior and posteroinferior parts of the capsule may prevent postoperative stiffness after ARCR. LEVEL OF EVIDENCE: Level III; Retrospective Case-Control Study.

Diminishing Psychological Reactance Through Self-Transcendent Media Experiences: A Self-Report and Psychophysiological Investigation.

Health communication scholars have provided ample evidence demonstrating the ways in which freedom-threatening language used in persuasive health messages evokes freedom-threat perceptions, state psychological reactance, and intentions to engage in behaviors opposite of those recommended by the health message. This study examined a novel mitigation strategy for diminishing these outcomes. We examined whether prior exposure to entertainment portrayals of moral virtue (versus a neutral video) can dampen audiences' psychological reactance, intentions to consume alcohol, and defensive message processing via their psychophysiological responses to a subsequent, freedom-threatening excessive alcohol consumption public service announcement (PSA). The results revealed that participants who viewed entertainment portrayals of moral virtue (N = 50 college-aged participants) self-reported higher levels of elevation, moved, and inspiration relative to participants in the control condition (N = 50 college-aged participants). Participants who were exposed to entertainment portrayals of moral virtue prior to the excessive alcohol consumption PSA also self-reported less psychological reactance and fewer behavioral intentions to consume alcohol following the excessive alcohol consumption PSA than participants in the control condition. Consistent with these self-report data, participants in the entertainment portrayals of moral virtue condition exhibited less defensive message processing of the excessive alcohol consumption PSA via their psychophysiological responses relative to the control group. The results indicate that initial exposure to entertainment portrayals of moral virtue can dampen audiences' cognitive, emotional, and behavioral responses to a subsequent, freedom-threatening health message, thereby increasing the chances of improved health outcomes.

Bensulide exposure causes cell division cycle arrest and apoptosis in porcine trophectoderm and uterine luminal epithelial cells.

As the use of herbicides in agriculture has increased worldwide, the importance of identifying unexpected toxic effects on non-target organisms is emerging. Bensulide is used on various agricultural crops as an organophosphate herbicide; however, it can pose a high risk to non-target organisms because of its long half-life and accumulative potential. Despite its high risk, the hazardous effects of bensulide on implantation and mechanisms in cells have not been reported. Therefore, in this study, intracellular mechanisms and potential risk of implantation failure were identified in porcine trophectoderm (pTr) and uterine luminal epithelial (pLE) cells derived from pigs with human-like molecular mechanisms in implantation. The LC50 values of bensulide were 5.21 mg/L in pTr cells and 6.49 mg/L in pLE cells. Both cell lines were exposed to bensulide at concentrations <5 mg/L in subsequent experiments. Treatment with 5 mg/L bensulide activated ERK1/2 and JNK. Disrupted mitochondrial membrane potentials of both cell types were identified. In addition, mitochondrial Ca2+ concentration increased to 261.24% and 228.04% in pTr and pLE cells, respectively, and cytoplasmic Ca2+ concentrations decreased by approximately 50% in both cell types. The abnormal regulation of various intracellular environments by bensulide causes cell division cycle arrest and apoptosis. Finally, 5 mg/L bensulide inhibited transcription of implantation-related genes. Collectively, our results suggest that bensulide may interrupt implantation during early pregnancy by disrupting maternal-fetal interaction.

Bifenthrin induces cell death in bovine mammary epithelial cells via ROS generation, calcium ion homeostasis disruption, and MAPK signaling cascade alteration.

Bifenthrin is one of the widely used synthetic pyrethroid insecticides, employed for various purposes worldwide. As lipophilic pyrethroids can easily bind to soil particles, which is why their residues are detected in various environments. Consequently, the toxicity of bifenthrin to non-target organisms can be regarded as an environmental concern. The toxic effects of bifenthrin have been studied in various animal models and cell lines; however, its toxic effects on cattle remain unclear. In particular, gaining insights into the toxic effects of bifenthrin on the mammary lactation system is crucial for the dairy industry. Therefore, we proceeded to investigate the toxic effects of bifenthrin on the bovine mammary epithelial cells (MAC-T cells). We established that bifenthrin inhibited cell proliferation and triggered apoptosis in MAC-T cells. Additionally, bifenthrin induced mitochondrial dysfunction and altered inflammatory gene expression by disrupting mitochondrial membrane potential (MMP) and generating excessive reactive oxygen species (ROS). We also demonstrated that bifenthrin disrupted both cytosolic and mitochondrial calcium ion homeostasis. Furthermore, bifenthrin altered mitogen-activated protein kinase (MAPK) signaling cascades and downregulated casein-related genes. Collectively, we confirmed the multiple toxic effects of bifenthrin on MAC-T cells, which could potentially reduce milk yield and quality.

Wafer-Scale Programmed Assembly of One-Atom-Thick Crystals.

Crystalline films offer various physical properties based on the modulation of their thicknesses and atomic structures. The layer-by-layer assembly of atomically thin crystals provides a powerful means to arbitrarily design films at the atomic level, which are unattainable with existing growth technologies. However, atomically clean assembly of the materials with high scalability and reproducibility remains challenging. We report programmed crystal assembly of graphene and monolayer hexagonal boron nitride, assisted by van der Waals interactions, to form wafer-scale films of pristine interfaces with near-unity yield. The atomic configurations of the films are tailored with layer-resolved compositions and in-plane crystalline orientations. We demonstrate batch-fabricated tunnel device arrays with modulation of the resistance over orders of magnitude by thickness control of the hexagonal boron nitride barrier with single-atom precision and large-scale, twisted multilayer graphene with programmable electronic band structures and crystal symmetries. Our results constitute an important development in the artificial design of large-scale films.

Effects of unreliable automation, non-driving related task, and takeover time budget on drivers' takeover performance and workload.

The objective of this study was to assess the effects of unreliable automation, non-driving related tasks (NDRTs), and takeover time budget (TOTB) on drivers' takeover performance and cognitive workload when faced with critical incidents. Automated vehicles are expected to improve traffic safety. However, there are still some concerns about the effects of automation failures on driver performance and workload. Twenty-eight drivers participated in a driving simulation study. The findings suggested that drivers require at least 8 s of TOTB to safely take over the control of the vehicle. In addition, drivers exhibited safer takeover performance under the conditionally automated driving situation than negotiating the critical incident in the manual driving condition. The results of drivers' cognitive workload were inconclusive, which might be due to the individual and recall biases in subjective measures that could not capture subtle differences in workload during takeover requests.Practitioner Summary: A driving simulation study was conducted to assess the effect of unreliable automation, non-driving related tasks, and different takeover time budgets on drivers' performance and workload. The results can provide guidelines for vehicle manufacturers to improve the design of automated vehicles.

Aclonifen induces bovine mammary gland epithelial cell death by disrupting calcium homeostasis and inducing ROS production.

Herbicides play key roles in agriculture. Aclonifen is a diphenyl ether herbicide that is widely used for sunflower, potato, corn, and wheat crops. Since it has a long half-life, it is considered persistent and can easily accumulate in the environment. Therefore, livestock and humans are at risk of exposure to aclonifen. Importantly, aclonifen is toxic to several mammals such as rats, mice, and dogs. However, the toxicity of aclonifen in cattle remains unclear. Therefore, we sought to investigate its toxicity in cattle using bovine mammary gland epithelial cells (MAC-T). We found that aclonifen induces sub-G1 phase arrest and represses MAC-T proliferation. In addition, aclonifen caused mitochondrial dysfunction, as evidenced by excessive ROS production and loss of mitochondrial membrane potential. Furthermore, cytosolic and mitochondrial calcium homeostases were disrupted after aclonifen treatment. Moreover, aclonifen treatment caused alterations in the PI3K/AKT and MAPK signaling pathways, which are involved in the regulation of cell survival and death. In conclusion, aclonifen causes MAC-T cell death through mitochondrial dysfunction and the collapse of calcium homeostasis.

A Review of Human Performance Models for Prediction of Driver Behavior and Interactions With In-Vehicle Technology.

OBJECTIVE: This study investigated the use of human performance modeling (HPM) approach for prediction of driver behavior and interactions with in-vehicle technology. BACKGROUND: HPM has been applied in numerous human factors domains such as surface transportation as it can quantify and predict human performance; however, there has been no integrated literature review for predicting driver behavior and interactions with in-vehicle technology in terms of the characteristics of methods used and variables explored. METHOD: A systematic literature review was conducted using Compendex, Web of Science, and Google Scholar. As a result, 100 studies met the inclusion criteria and were reviewed by the authors. Model characteristics and variables were summarized to identify the research gaps and to provide a lookup table to select an appropriate method. RESULTS: The findings provided information on how to select an appropriate HPM based on a combination of independent and dependent variables. The review also summarized the characteristics, limitations, applications, modeling tools, and theoretical bases of the major HPMs. CONCLUSION: The study provided a summary of state-of-the-art on the use of HPM to model driver behavior and use of in-vehicle technology. We provided a table that can assist researchers to find an appropriate modeling approach based on the study independent and dependent variables. APPLICATION: The findings of this study can facilitate the use of HPM in surface transportation and reduce the learning time for researchers especially those with limited modeling background.

Systematic comparison between the generalized Lorenz equations and DNS in the two-dimensional Rayleigh-Bénard convection.

The classic Lorenz equations were originally derived from the two-dimensional Rayleigh-Bénard convection system considering an idealized case with the lowest order of harmonics. Although the low-order Lorenz equations have traditionally served as a minimal model for chaotic and intermittent atmospheric motions, even the dynamics of the two-dimensional Rayleigh-Bénard convection system is not fully represented by the Lorenz equations, and such differences have yet to be clearly identified in a systematic manner. In this paper, the convection problem is revisited through an investigation of various dynamical behaviors exhibited by a two-dimensional direct numerical simulation (DNS) and the generalized expansion of the Lorenz equations (GELE) derived by considering additional higher-order harmonics in the spectral expansions of periodic solutions. Notably, GELE allows us to understand how nonlinear interactions among high-order modes alter the dynamical features of the Lorenz equations including fixed points, chaotic attractors, and periodic solutions. It is verified that numerical solutions of the DNS can be recovered from the solutions of GELE when we consider the system with sufficiently high-order harmonics. At the lowest order, the classic Lorenz equations are recovered from GELE. Unlike in the Lorenz equations, we observe limit tori, which are the multi-dimensional analog of limit cycles, in the solutions of the DNS and GELE at high orders. Initial condition dependency in the DNS and Lorenz equations is also discussed.

CoDR: Correlation-based Data Reduction Scheme for Efficient Gathering of Heterogeneous Driving Data.

A variety of deep learning techniques are actively employed for advanced driver assistance systems, which in turn require gathering lots of heterogeneous driving data, such as traffic conditions, driver behavior, vehicle status and location information. However, these different types of driving data easily become more than tens of GB per day, forming a significant hurdle due to the storage and network cost. To address this problem, this paper proposes a novel scheme, called CoDR, which can reduce data volume by considering the correlations among heterogeneous driving data. Among heterogeneous datasets, CoDR first chooses one set as a pivot data. Then, according to the objective of data collection, it identifies data ranges relevant to the objective from the pivot dataset. Finally, it investigates correlations among sets, and reduces data volume by eliminating irrelevant data from not only the pivot set but also other remaining datasets. CoDR gathers four heterogeneous driving datasets: two videos for front view and driver behavior, OBD-II and GPS data. We show that CoDR decreases data volume by up to 91%. We also present diverse analytical results that reveal the correlations among the four datasets, which can be exploited usefully for edge computing to reduce data volume on the spot.

A physically extended Lorenz system.

The Lorenz system is a simplified model of Rayleigh-Bénard convection, a thermally driven fluid convection between two parallel plates. Two additional physical ingredients are considered in the governing equations, namely, rotation of the model frame and the presence of a density-affecting scalar in the fluid, in order to derive a six-dimensional nonlinear ordinary differential equation system. Since the new system is an extension of the original three-dimensional Lorenz system, the behavior of the new system is compared with that of the old system. Clear shifts of notable bifurcation points in the thermal Rayleigh parameter space are seen in association with the extension of the Lorenz system, and the range of thermal Rayleigh parameters within which chaotic, periodic, and intermittent solutions appear gets elongated under a greater influence of the newly introduced parameters. When considered separately, the effects of scalar and rotation manifest differently in the numerical solutions; while an increase in the rotational parameter sharply neutralizes chaos and instability, an increase in a scalar-related parameter leads to the rise of a new type of chaotic attractor. The new six-dimensional system is found to self-synchronize, and surprisingly, the transfer of solutions to only one of the variables is needed for self-synchronization to occur.