Miracle-dz/UniFAR-FTUs huggingface dataset:
Event-Triggered Optimal Tracking Control Design With DHP Formulation for Discrete-Time Nonlinear Nonzero-Sum Games

In this paper, for discrete-time nonlinear systems, an event-based intelligent critic algorithm is researched to deal with two-player nonzero-sum game optimal tracking control problems (OTCPs). The OTCP of unknown nonlinear nonzero-sum games is transformed into the optimal regulation problem of corresponding error dynamics. According to the triggered requirement, we develop a reasonable triggering condition to cut down the number of updates for two controllers, which achieves the goal of improving resource utilization. Then, based on the dual heuristic programming (DHP) technique, the approximate optimal costate function and the tracking control pair are output through training neural networks (NNs). Finally, an example is wield to demonstrate the rationality of the proposed algorithm.
Comparative study of torque-speed characteristics of alternate switched-flux permanent magnet machine topologies

This paper presents a comparative study of electromagnetic performance in switched flux permanent magnet (SFPM) machines with different topologies, i.e. conventional SFPM machines, multi-tooth, E-core and C-core SFPM machines. With the aid of 2D finite element analysis (FEA), the torque waveform, cogging torque, back-emf and d- and q-axis inductances are investigated and compared with emphasis on the torque-speed characteristics. In conventional SFPM machines, the influence of stator/rotor pole combination on the torque-speed characteristics is also investigated through 12/10, 12/13 and 12/14 SFPM machines. Compared with conventional SFPM machines, which exhibit limited speed range, infinite speed range is observed in multi-tooth, E-core and C-core SFPM machines, among which the highest average torque per ampere is achieved in E-core SFPM machine, albeit with relatively high torque ripples.
Acceptance of Caregiver–Patient Support to Latinx Coping with Advanced Cancer (CASA) Intervention: A Caregiver Case Study

Latinos frequently assume caregiver roles when the need arises in their social nucleus. Because of their active role, caregivers are heavily involved in their family member’s cancer trajectory. Therefore, there is a need for culturally adapted interventions that integrate the caregiver and cancer patient. The objective is to present a case study of a former caregiver’s experience and acceptance of the cultural adaptation of Caregiver–Patient Support to Latinx Coping with Advanced Cancer (CASA) intervention. We conducted a case study with a male caregiver between the ages of 20 and 30. A male caregiver expressed his experience and acceptance of a psychosocial intervention. He conveyed moderate to high acceptance of intervention components through anecdotes and opinions based on his experiences as a caregiver for multiple family members. Finally, he reported distress, but he presented little to no symptoms of caregiver burden, depression, anxiety, and hopelessness. It is crucial to culturally adapt interventions that integrate caregivers when they play a big part in their loved one’s cancer journey. Integrating their perspective when adapting an intervention may assist in providing essential information that will benefit the patient and caregiver.
Association between Social and Emotional Competencies and Quality of Life in the Context of War, Pandemic and Climate Change

The present context, with an ongoing pandemic situation, war and climate change, seems to play a critical role in both the peoples’ perception of their quality of life, and the acquisition and development of social and emotional competencies. In this study, our goal was to assess the relationship between social and emotional competencies and peoples’ quality of life in a Portuguese sample. Participants were 1139 individuals living in Portugal, aged between 16 and 85 years old, who were mostly (73%) female. An online protocol for data acquisition was used, which included sociodemographic characterization, the Portuguese version of the scale of Social and Emotional Competencies (SEC-Q) and the World Health Organization Quality of Life (WHOQOL-BRIEF). Correlation analysis and a canonical correlation were performed, with results showing a high association between the dimensions of social and emotional competencies and peoples’ quality of life. Two significant canonical roots were extracted, and the results show that the first is characterized by internal factors, linking psychological health and self-management and motivation, and the second root evidences the external factors, linking social relations and environment with social awareness and pro-social behavior.
Machine Learning Predicting Optimal Preparation of Silica-Coated Gold Nanorods for Photothermal Tumor Ablation

Gold nanorods (GNRs) coated with silica shells are excellent photothermal agents with high surface functionality and biocompatibility. Understanding the correlation of the coating process with both structure and property of silica-coated GNRs is crucial to their optimizing preparation and performance, as well as tailoring potential applications. Herein, we report a machine learning (ML) prediction of coating silica on GNR with various preparation parameters. A total of 306 sets of silica-coated GNRs altogether were prepared via a sol–gel method, and their structures were characterized to extract a dataset available for eight ML algorithms. Among these algorithms, the eXtreme gradient boosting (XGboost) classification model affords the highest prediction accuracy of over 91%. The derived feature importance scores and relevant decision trees are employed to address the optimal process to prepare well-structured silica-coated GNRs. The high-throughput predictions have been adopted to identify optimal process parameters for the successful preparation of dumbbell-structured silica-coated GNRs, which possess a superior performance to a conventional cylindrical core–shell counterpart. The dumbbell silica-coated GNRs demonstrate an efficient enhanced photothermal performance in vivo and in vitro, validated by both experiments and time domain finite difference calculations. This study epitomizes the potential of ML algorithms combined with experiments in predicting, optimizing, and accelerating the preparation of core–shell inorganic materials and can be extended to other nanomaterial research.
Ternary Mixture of Azoxystrobin, Boscalid and Pyraclostrobin Disrupts the Gut Microbiota and Metabolic Balance of Honeybees (Apis cerana cerana)

There is a growing risk of pollinators being exposed to multiple fungicides due to the widespread use of fungicides for plant protection. A safety assessment of honeybees exposed to multiple commonly used fungicides is urgently required. Therefore, the acute oral toxicity of the ternary mixed fungicide of ABP (azoxystrobin: boscalid: pyraclostrobin = 1:1:1, m/m/m) was tested on honeybees (Apis cerana cerana), and its sublethal effect on foragers’ guts was evaluated. The results showed that the acute oral median lethal concentration (LD50) of ABP for foragers was 12.6 μg a.i./bee. ABP caused disorder of the morphological structure of midgut tissue and affected the intestinal metabolism; the composition and structure of the intestinal microbial community was perturbed, which altered its function. Moreover, the transcripts of genes involved in detoxification and immunity were strongly upregulated with ABP treatment. The study implies that exposure to a fungicide mixture of ABP can cause a series of negative effects on the health of foragers. This work provides a comprehensive understanding of the comprehensive effects of common fungicides on non-target pollinators in the context of ecological risk assessment and the future use of fungicides in agriculture.
Electronic properties and strain sensitivity of CVD-grown graphene with acetylene

Although many studies have shown that large-area monolayer graphene can be formed by chemical vapor deposition (CVD) using methane gas, the growth of monolayer graphene using highly reactive acetylene gas remains a big challenge. In this study, we synthesized a uniform monolayer graphene film by low-pressure CVD (LPCVD) with acetylene gas. On the base of Raman spectroscopy measurements, it was found that up to 95% of the as-grown graphene is monolayer. The electronic properties and strain sensitivity of the LPCVD-grown graphene with acetylene were also evaluated by testing the fabricated field-effect transistors (FETs) and strain sensors. The derived carrier mobility and gauge factor are 862–1150 cm2/(V·s) and 3.4, respectively, revealing the potential for high-speed FETs and strain sensor applications. We also investigated the relationship between the electronic properties and the graphene domain size.
Constant Power Load Stabilization With Fast Transient Boundary Control for DAB-Converters-Based Electric Drive Systems

Due to the negative incremental impedance of constant power loads (CPLs), many undesirable issues, such as the oscillations or even possible collapse of the main dc bus voltage, may occur, which may significantly degrade the system stability of electrical vehicles (EVs). This article presents a natural switching surface (NSS) fast transient boundary control (FTBC) based stabilization solution for EVs with dual active bridge (DAB) converters as the main power interface. Based on the mathematical models of multiple NSSs and characteristics of CPL, the proposed FTBC control can achieve stable operation of DAB converters feeding CPLs and fast dynamic response irrespective of operating stages, such as the startup, sudden voltage, and power reference changing conditions. Compared with other strategies, such as load shedding, the proposed FTBC has no additional requirements for hardware, which is cost-effective. The analytical derivation of the proposed algorithm under the CPL condition is presented together with simulation and experimental evaluations, which validate that the proposed FTBC is capable of achieving two times faster start-up process and at least 33% dynamic response improvement compared with proportional integrator closed-loop control while eliminating the dc-bias current and guaranteeing the CPL stability by regulating the dynamic trajectories of DAB converters in the geometric domain.
Embryonic Hyperglycemia Disrupts Myocardial Growth, Morphological Development, and Cellular Organization: An In Vivo Experimental Study

Hyperglycemia during gestation can disrupt fetal heart development and increase postnatal cardiovascular disease risk. It is therefore imperative to identify early biomarkers of hyperglycemia during gestation-induced fetal heart damage and elucidate the underlying molecular pathomechanisms. Clinical investigations of diabetic adults with heart dysfunction and transgenic mouse studies have revealed that overexpression or increased expression of TNNI3K, a heart-specific kinase that binds troponin cardiac I, may contribute to abnormal cardiac remodeling, ventricular hypertrophy, and heart failure. Optimal heart function also depends on the precise organization of contractile and excitable tissues conferred by intercellular occlusive, adherent, and communicating junctions. The current study evaluated changes in embryonic heart development and the expression levels of sarcomeric proteins (troponin I, desmin, and TNNI3K), junctional proteins, glucose transporter-1, and Ki-67 under fetal hyperglycemia. Stage 22HH Gallus domesticus embryos were randomly divided into two groups: a hyperglycemia (HG) group, in which individual embryos were injected with 30 mmol/L glucose solution every 24 h for 10 days, and a no-treatment (NT) control group, in which individual embryos were injected with physiological saline every 24 h for 10 days (stage 36HH). Embryonic blood glucose, height, and weight, as well as heart size, were measured periodically during treatment, followed by histopathological analysis and estimation of sarcomeric and junctional protein expression by western blotting and immunostaining. Hyperglycemic embryos demonstrated delayed heart maturation, with histopathological analysis revealing reduced left and right ventricular wall thickness (−39% and −35% vs. NT). Immunoexpression levels of TNNI3K and troponin 1 increased (by 37% and 39%, respectively), and desmin immunofluorescence reduced (by 23%). Embryo-fetal hyperglycemia may trigger an increase in the expression levels of TNNI3K and troponin I, as well as dysfunction of occlusive and adherent junctions, ultimately inducing abnormal cardiac remodeling.
The efficacy of mindfulness-based therapy for anxiety, social skills, and aggressive behaviors in children and young people with Autism Spectrum Disorder: A systematic review

Introduction The purpose of this systematic review was to examine the efficacy of mindfulness-based interventions for improving anxiety, social skills, and aggressive behaviors in children and young people (CYP) with Autism Spectrum Disorder (ASD); summarize the results across clinic, home, and school contexts; and evaluate the quality of these interventions for clinical practice. Methods A search of the PsycINFO, Medline (Ovid), Web of Science, and Scopus databases was conducted in June 2021, and no date restrictions were applied. Inclusion criteria were quantitative or qualitative research implementing a mindfulness-based intervention for CYP aged 6–25 years with a diagnosis of ASD, Pervasive Development Disorder, or Asperger’s Syndrome. Results We identified 23 articles for inclusion including within subject pre- and post-testing, multiple baselines, and randomized control trials, among other research designs. Of these, a quality analysis conducted using an ASD research-specific risk of bias tool found over half (14) were of weak methodological quality, whereas only four and five were found to be of strong and adequate quality, respectively. Discussion While the results of this systematic review suggest promising evidence for the use of mindfulness-based interventions to improve anxiety, social skills, and aggressive behaviors in CYP with ASD, results should be interpreted with caution due to the limitations resulting from the overall weak quality of the studies. The review protocol was pre-registered on PROSPERO (CRD42021259125) and can be viewed at https://www.crd. york.ac. uk/prospero/display_record. php? RecordID=259125
V2X Communication Challenges and Performance Evaluations for Cooperative Multi-hop Platooning

Traditional vehicle-to-everything (V2X) technologies are developing to the Internet of Cars (IoV), where vehicles are getting smarter with the help of growing technologies that improve the driving experience, to enable ubiquitous large-scale automotive network access. To meet the growing need for upcoming sophisticated automotive applications like as intelligent transportation systems (ITS) and self-driving cars, 5th Generation (5G) millimetre wave (mmWave) frequencies are the best option. While mmWave communications will provide huge data speeds and minimal latency, the propagation characteristics will make reliable performance evaluations under V2X situations extremely difficult. We explore the influence of various propagation scenarios and system factors, such as inter-vehicle distance, on highway platooning. We evaluated other automobiles blocking major traffic routes.
Fast Point-Line Visual Inertial Odometry based on Improved EDLines Algorithm

Most mainstream visual-inertial SLAM systems rely on the point feature method of front-end images for motion estimation and localization. However, the SLAM system based on the point feature method, in the case of weakly textured environments, may not be able to estimate the motion due to the lack of point features. For this reason, the introduction of line features has received extensive attention. Line features in the environment can improve the localization accuracy of SLAM, but the extraction and matching of line features are relatively time-consuming and cannot satisfy real-time requirements. Based on the EDLines algorithm, we propose a fast visual-inertial odometry that fuses point and line features. The improved EDLines algorithm is used to process line features. By adjusting the internal parameters of the algorithm, the extraction time of line features is decreased while the extraction effect is the same. And the line features screening strategy is proposed to filter out invalid short line segments and merge adjacent line segments. We use the more effective line features after screening for graph matching and back-end optimization, which reduces the calculation amount of line features matching and ensures the accuracy. The proposed algorithm has been tested on the public datasets, and the comparison results with PL-VIO and VINS-Mono show that the algorithm in this paper improved real-time performance and localization accuracy.
Patched removal of the mantle lithosphere under orogens: A systematic numerical study

Delamination or convective thinning could cause large-scale and complete removal of the mantle lithosphere under orogens. However, geological and geophysical observations suggest that patched removal of the mantle lithosphere has occurred in some orogens, such as the northeastern Tibetan Plateau, the central Tianshan, and the central Andes. Dislocation-creep-induced strain localization cannot promote effective removal of the mantle lithosphere to the Moho on a small-scale. Recent rheological studies propose that dislocation-accommodated grain boundary sliding (DisGBS) may dominate upper mantle deformation. DisGBS could make the lower lithospheric mantle rheologically weaker than dry olivine. With 2-D high-resolution thermo-mechanical modeling, we systematically investigated the conditions for the initiation of small-scale lithospheric thinning under orogens and explored the minimum range of removal of the mantle lithosphere. The numerical results indicate that classic convective drip cannot effectively thin the mantle lithosphere to the Moho on a small-scale. In contrast, small-scale thinning can be induced by lithospheric heterogeneity with DisGBS and plasticity. The rheological heterogeneity can be verified by magmatism and metasomatism under the central Andes and orogens between terranes under the northeastern Tibetan Plateau or in Tianshan.
Lifetime Evaluation of Left Ventricular Structure and Function in Male C57BL/6J Mice after Gamma and Space-Type Radiation Exposure

The lifetime effects of space irradiation (IR) on left ventricular (LV) function are unknown. The cardiac effects induced by space-type IR, specifically 5-ion simplified galactic cosmic ray simulation (simGCRsim), are yet to be discovered. Three-month-old, age-matched, male C57BL/6J mice were irradiated with 137Cs gamma (γ; 100, 200 cGy) and simGCRsim (50 and 100 cGy). LV function was assessed via transthoracic echocardiography at 14 and 28 days (early), and at 365, 440, and 660 (late) days post IR. We measured the endothelial function marker brain natriuretic peptide in plasma at three late timepoints. We assessed the mRNA expression of the genes involved in cardiac remodeling, fibrosis, inflammation, and calcium handling in LVs harvested at 660 days post IR. All IR groups had impaired global LV systolic function at 14, 28, and 365 days. At 660 days, 50 cGy simGCRsim-IR mice exhibited preserved LV systolic function with altered LV size and mass. At this timepoint, the simGCRsim-IR mice had elevated levels of cardiac fibrosis, inflammation, and hypertrophy markers Tgfβ1, Mcp1, Mmp9, and βmhc, suggesting that space-type IR may induce the cardiac remodeling processes that are commonly associated with diastolic dysfunction. IR groups showing statistical significance were modeled to calculate the Relative Biological Effectiveness (RBE) and Radiation Effects Ratio (RER). The observed dose-response shape did not indicate a lower threshold at these IR doses. A single full-body IR at doses of 100–200 cGy for γ-IR, and 50–100 cGy for simGCRsim-IR decreases the global LV systolic function in WT mice as early as 14 and 28 days after exposure, and at 660 days post IR. Interestingly, there is an intermediate time point (365 days) where the impairment in LV function is observed. These findings do not exclude the possibility of increased acute or degenerative cardiovascular disease risks at lower doses of space-type IR, and/or when combined with other space travel-associated stressors such as microgravity.
A low-protein maternal diet during gestation affects the expression of key pancreatic β-cell genes and the methylation status of the regulatory region of the MafA gene in the offspring of Wistar rats

Maternal nutrition during gestation has important effects on gene expression-mediated metabolic programming in offspring. To evaluate the effect of a protein-restricted maternal diet during gestation, pancreatic islets from male progeny of Wistar rats were studied at postnatal days (PND) 36 (juveniles) and 90 (young adults). The expression of key genes involved in β-cell function and the DNA methylation pattern of the regulatory regions of two such genes, Pdx1 (pancreatic and duodenal homeobox 1) and MafA (musculoaponeurotic fibrosarcoma oncogene family, protein A), were investigated. Gene expression analysis in the pancreatic islets of restricted offspring showed significant differences compared with the control group at PND 36 (P < 0.05). The insulin 1 and 2 (Ins1 and Ins2), Glut2 (glucose transporter 2), Pdx1, MafA, and Atf2 (activating transcription factor 2), genes were upregulated, while glucokinase (Gck) and NeuroD1 (neuronal differentiation 1) were downregulated. Additionally, we studied whether the gene expression differences in Pdx1 and MafA between control and restricted offspring were associated with differential DNA methylation status in their regulatory regions. A decrease in the DNA methylation levels was found in the 5' flanking region between nucleotides −8118 to −7750 of the MafA regulatory region in restricted offspring compared with control pancreatic islets. In conclusion, low protein availability during gestation causes the upregulation of MafA gene expression in pancreatic β-cells in the male juvenile offspring at least in part through DNA hypomethylation. This process may contribute to developmental dysregulation of β-cell function and influence the long-term health of the offspring.
Knowledge graph-based approach to wiring design and critical line identification

In order to solve the problems of low efficiency of connecting electrical elements and difficulty of modeling in the process of building wiring model, this paper design an interactive method of proposed wiring model , which adopts parametric description of anchor points of elements to realize dynamic matching and connection between elements; ontology modeling and knowledge map construction are carried out for multi-source and heterogeneous knowledge in the field of wiring model design; Based on the above preparation, we propose key line identification method on the knowledge map, It can effectively identify the shutdown key line in the wiring diagram . In the last part of the paper, and the feasibility and effectiveness of the method is verified by Comparing with existing methods.
Machine Condition Monitoring by Online Updated Optimized Weights Spectrum: An Industrial Motor Case Study

Machine condition monitoring (MCM) is beneficial to gaining more profits and avoiding unexpected incidents, which has received much attention from the academic and industrial fields. Fault feature extraction is crucial for MCM. Recently, an optimized weights spectrum (OWS) is proposed to extract fault features in the Fourier spectrum, however, the calculation of the OWS is restricted by the usage of fault signals. This paper proposed an online updated OWS to relieve the usage of fault signals, and a 3D OWS can be obtained to exhibit the run-to-failure fault features in the Fourier spectrum. What's more, instead of man-made experimental run-to-failure datasets, a motor dataset collected from an industrial coal mining factory validated the performance of the online updated OWS for MCM.