bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dynamic Event-triggered Control for Nonlinear PDE System with Actuator Dead-zone
Authors: Mo Fan , Wu Gui Fang 
Published: August 2023

Abstract
A dynamic event-triggered network control scheme is proposed for a class of distributed parameter systems with time delay and nonlinearity. The security control of the PDE system under DOS attack based on dynamic event-triggered is studied. A dynamic event-triggered scheme is adopted to reduce the communication burden, that is, the sampling data will be sent only when the original trigger condition is violated. At the same time, a new model including denial of service attack (DOS) is established to describe the random network attack. When a hacker launches a DoS attack, it prevents the sampling data from reaching the destination by interfering with the network channel. DOS attacks follow no specific pattern and exhibit non-periodic behavior or irregular probability distribution. A mathematical model of a state-dependent uncertain system with an event-triggered scheme was established to study denial of service attacks. By using the Lyapunov-Krasocskii stability theory and linear matrix inequality tools, sufficient conditions were derived to ensure the index mean square stability of the state-dependent uncertain system. Based on this, sufficient conditions for the asymptotic stability of the closed-loop network control system and the expected performance index of the system were obtained. Numerical examples verified the feasibility of the method, and controller design validated the applicability of the theoretical results.
Trajectory Optimization of Long-Range Guided Rocket-Propelled Vehicle Based on Pseudo-spectral Sequential Convex Programming
Authors: Sun Tong , Zhang Cheng , Chen Tianle , Cheng Runbei 
Published: August 2023

Abstract
Aiming at the trajectory optimization problem of long-range guided rocket-propelled vehicles with multiple constraints, an improved pseudo-spectral sequence convex programming, which takes into account the efficiency and accuracy of optimization, is proposed. First, taking the change rate of the angle of attack and the bank angle as the control variables, the vehicle’s dynamic equation is discretized by using the flipped Radau pseudo-spectral method, and the trajectory optimization problem including start, end, and path constraints is transformed into a convex optimization problem by using the continuous linearization method, and then the solution is obtained by using the original dual interior point method. To make the optimized trajectory near the no-fly zone or the severe weather area more accurate, the concept of the predicted separation point is introduced to subdivide the trajectory. The simulation results show that the improved pseudo-spectral sequence convex programming has high discretization accuracy and fast solution speed, and can be applied to the online use of long-range guided rocket-propelled vehicles.
Automatic Monitoring and Control System Based on Automatic Control for Transmission Line Engineering Traverse Spread
Authors: Wang Shiyan , Gao Youliang , Xu Peijian , Xiang Xinyu , Shen Haijun 
Published: August 2023

Abstract
This paper proposes the investigation of an automatic monitoring system of transverse diffusion of transmission line engineering based on automatic control, intending to enhance the safety of power grid operation and the effectiveness of detecting parameters like the size of the opposite side of the crimped wire. Using the same microcomputer as the primary control device, a transmission line automatic compression control system is constructed in this paper. It has three infrared sensors that can measure three groups of distances, an electric sensor that measures the hydraulic pump’s output, and an electric drive that controls the hydraulic pump’s opening and closing. The upper computer can count the number of wire movements and measure the distance traveled by each step of the wire. The lower machine moves the metal directly depending on the instructions from the upper computer, measures the hydraulic pump’s pressure, and measures the length of three distinct groups of hexagonal metal. Time pressure and three wire groups that are not connected are also visible in the lower computer’s serial port. This system reduces collision costs, saves a lot of labor, increases engineering and production efficiency, and can be useful in wire crimping technology.
Segment-powered Control System of Linear Motor Based on Long-Mover Segmented Mode and Hybrid Switching
Authors: Chen Hao 
Published: August 2023

Abstract
This paper proposes a segment-powered control system of a linear motor. It is based on long-mover segmented mode and hybrid switching for the segment-powered control requirements of a high-thrust permanent magnet linear synchronous motor. Firstly, the segment-powered principle of the long-mover segmented mode is analyzed. Then the design of the hybrid switching control system is completed. Finally, the experimental verification proves that the control system has good control stability and control accuracy, which can meet the segment-powered control requirements of a high-thrust linear motor.
Detection Method and Experimental Research on Generator Bolt Loosening Fault Characteristics
Authors: Li Jiatong , Fu Dongliang , Du Xiaodong , Ji Zhicheng , Zhou Pu 
Published: August 2023

Abstract
This paper proposes a method for diagnosing bolt looseness faults using the principle of PCA to extract time-domain features of monitoring data. First of all, five dimensionless factors of IMF are calculated after empirical mode decomposition (EMD) is performed on the original data. Then, principal component analysis (PCA) is applied to the data vectors, which are processed by dimensionality reduction and residual space projection, to calculate the prediction error of the data sample. At last, a fault judgment test of bolt loosening was carried out on the test bench of the intelligent water supply system. The test results show that the PCA model can effectively judge the bolt loosening fault.
Design of distributed drive electric vehicle control architecture based on module division
Authors: Liu Ning , Wang Bin , Wang Yi , Li Zhengbo , Ou Yang 
Published: August 2023

Abstract
At present, with the deepening of vehicle intelligence and electrification, the logic chaos of the whole vehicle control architecture leads to complex procedures, which cannot adapt to the large-scale, team, and parallel development work, and is not conducive to the later maintenance, upgrading, and platform of the controller. This paper analyzes the types and functions of the vehicle electrical appliances, compiles the vehicle electrical control circuit and CAN (Controller Area Network, CAN) communication network, decouples the control program design from the hardware input signal by reasonably dividing the signal processing flow of the control program, and then divides the vehicle control program into modules to meet the platform-based requirements of the control strategy.
Design of structure and control system based on achromatic rotating biprism
Authors: Shi Yue , Zheng Jiahong , Ming Lei , Dong Jiahou 
Published: August 2023

Abstract
The achromatic rotating dual-prism beam pointing system is mostly used in space laser communication, which needs to meet the characteristics of small size and light mass. To address the problems of the large size, heavy mass and low accuracy of the conventional beam, this paper uses SOLIDWORKS to build a dual-optical wedge prism model and the structural model of the optical machine and simulates and analyses its environmental performance. The design of the control system effectively improves the beam-pointing accuracy of the whole machine. A reference value is provided for the study of rotating biprism.
An Accurate Method for Measuring the Low-Temperature Coefficient of Resistors
Authors: Cui Yumei , Chen Hongliang , Ai Ting , Feng Rongwei , Sang Shangming 
Published: August 2023

Abstract
The temperature coefficient of resistors is one of the key parameters to characterize the reliability of resistors. In precision circuit design, it is necessary to test and screen the key resistors and use the resistors with matching temperature coefficient values to ensure the accuracy and stability of circuit output. In this paper, aiming at how to accurately test the temperature coefficient value of low-temperature coefficient resistors, an indirect test method is proposed. The study adds a reference resistor into the test loop and tests the voltage values at both ends of the reference resistor. The tested resistor when the forward and reverse voltage sources are applied. The accurate resistance values of the tested resistor at different temperatures are obtained by calculation to calculate the temperature coefficient value of the resistor. The method can effectively reduce the measurement uncertainty of the test instrument and the potential thermoelectric influence generated in the test circuit. The measured results show that the measurement method proposed in this paper can obtain a more accurate and reliable resistor temperature coefficient.
Workpieces detection algorithm based on improved YOLOv5
Authors: Zhang Jie , Jiang Tao 
Published: August 2023

Abstract
To solve the problems of similar product shapes, the low recognition rate of scattered workpieces and poor real-time performance in industrial sorting scenarios, a workpieces target detection algorithm based on improved YOLOv5 was proposed. The algorithm replaced the characteristic b network with a lighter ShuffleNetV2 network to achieve a lightweight network model, balance speed and accuracy. BiFPN structure was introduced to change the neck and enhance the ability of feature extraction at different scales. The research results indicate that the proposed improved algorithm has more advantages in industrial scenarios. It reduces the identification error rate of the target workpiece in the case of scattered and meets the requirements of accuracy and real-time recognition of the workpiece.
Behavior of IMERG precipitation extremes with temperature at different spatial resolution
Authors: Pradhan Ankita , Indu J 
Published: August 2023

Abstract
The Clausius-Clapeyron equation determines how saturation vapor pressure increases with temperature, which is important in determining variations in extreme precipitation. Regionally, the scaling of C–C does not vary significantly, but the relationship with extreme precipitation does. In this study, the precipitation from Integrated Multisatellite Retrievals for Global Precipitation Measurement (IMERG) is tested for its accuracy in scaling extreme precipitation rates with temperature (termed scaling factor). We utilized the IMERG precipitation data across the Indian Sub-continent at 0.1° × 0.1°, 0.25° × 0.25° and 0.5° × 0.5° spatial resolution from 2001 to 2020 datasets. Our findings show that, there is a transition in Global Precipitation Measurement’s precipitation extremes estimations (95th percentile) around 30 °C over spatial resolution of 0.25° and 0.1° from C–C to sub C–C. This study also evaluates the sensitivity of C–C scaling in different regimes of India having homogeneous precipitation climatology. It is found that southeast India is highly sensitive to the spatial resolution, as it shows steep slopes in extreme precipitation rates at high dew point temperatures. This is the first study to evaluate the sensitivity of spatial resolution on C–C analysis as most of the previous studies have considered temporal variations.
A bimetallic PdPt catalyst on CeZrO2/H-ZSM-5 dual support with exceptional activity in low temperature methane oxidation
Authors: Son Nguyen Tang , Le Manh Tu , Van Hoang Nguyen , Thi Lanh Pham , Trung Do Dang , Van Hieu Nguyen 
Published: August 2023

Abstract
Various techniques were employed to prepare a dual support system of CeZrO2 and H-ZSM-5 (80) including physically mixing, co-precipitation and sonochemical methods, which were followed by the deposition of bimetallic Pd and Pt via wet impregnation to obtain the final catalysts. The catalysts were tested in the total methane oxidation between 200 and 500 °C and the most active is the material derived from sonochemical synthesis. This catalyst achieved a remarkable methane conversion of 84% at a low temperature of 300 °C and high Gas Hourly Space Velocity (GHSV) of 100000 ml g−1 h−1. Characterisation using x-ray diffraction (XRD), Brunauer–Emmett–Teller (BET), scanning electron microscope (SEM), scanning transmission electron microscope (STEM), Energy-dispersive x-ray spectroscopy (EDS), temperature-programmed reduction (TPR) and x-ray absorption fine structure (XAFS) techniques revealed the intimate distribution of catalyst components and facile redox behaviour of both Pd and CeZrO2 components. The catalysts based on sonochemical CeZrO2 was proven to be relatively stable with only 7% methane conversion loss after 50 h continuously on stream at 300 °C compared to the corresponding 14% witnessed with the commercial TiO2-based material.
Current therapies for classic myeloproliferative neoplasms: A focus on pathophysiology and supportive care
Authors: Chung Clement 
Published: August 2023

Abstract

Purpose
This article concisely evaluates current therapies that have received regulatory approval for the treatment of classic myeloproliferative neoplasms (MPNs). Pertinent pathophysiology and supportive care are discussed. Emerging therapies are also briefly described.

Summary
MPNs are a heterogeneous group of diseases characterized by acquired abnormalities of hematopoietic stem cells (HSCs), resulting in the generation of transformed myeloid progenitor cells that overproduce mature and immature cells within the myeloid lineage. Mutations in JAK2 and other driver oncogenes are central to the genetic variability of these diseases. Cytoreductive therapies such as hydroxyurea, anagrelide, interferon, and therapeutic phlebotomy aim to lower the risk of thrombotic events without exposing patients to an increased risk of leukemic transformation. However, no comparisons can be made between these therapies, as reduction of thrombotic risk has not been used as an endpoint. On the other hand, Janus kinase (JAK) inhibitors such as ruxolitinib, fedratinib, pacritinib, and momelotinib (an investigational agent at the time of writing) directly target the constitutively activated JAK–signal transducer and activator of transcription (JAK-STAT) pathway of HSCs in the bone marrow. Mutations of genes in the JAK-STAT signaling pathway provide a unifying understanding of MPNs, spur therapeutic innovations, and represent opportunities for pharmacists to optimize mitigation strategies for both disease-related and treatment-related adverse effects.

Conclusion
Treatment options for MPNs span a wide range of disease mechanisms. The growth of targeted therapies holds promise for expanding the treatment arsenal for these rare, yet complex diseases and creates opportunities to optimize supportive care for affected patients.
The Effect of Preoperative Diagnosis of Depression and/or Anxiety on Patient-Reported Outcomes Following Chest Wall Masculinization Surgery
Authors: Morgenstern Monica , Barron Sivana , Jia Emmeline , Friedman Rosie , Perez-Iglesias Carolina Torres , Garvey Shannon R , Kang Christine O , Lee Bernard T , Tobias Adam M , Cauley Ryan P 
Published: August 2023

Abstract

Background
Individuals with gender dysphoria have disproportionately high rates of depression and anxiety compared to the cisgender population. Although the benefits of gender affirmation surgery have been well documented, it is unclear whether depression and anxiety affect postoperative patient-reported outcomes (PRO).

Objectives
The authors evaluated the impact of preoperative anxiety or depression on clinical and PRO in patients undergoing chest masculinization surgery.

Methods
Patients who underwent chest masculinization surgery within a 5-year period were reviewed. Demographics and clinical variables were abstracted from medical records. PRO of chest, nipple, and scar satisfaction were obtained postoperatively with the BODY-Q. Groups were stratified by preoperative anxiety, preoperative depression, both, or no history of mental health diagnosis. Univariate and multivariate analyses were performed.

Results
Of 135 patients with complete survey responses, 10.4% had anxiety, 11.9% depression, 20.7% both diagnoses, and 57.0% no diagnosis. Clinical data and outcomes were similar. Patients with preoperative depression correlated with lower satisfaction scores for scar appearance (P = .006) and were significantly more likely to report feelings of depression postoperatively (P = .04). There were no significant differences in chest or nipple satisfaction among groups.

Conclusions
Although anxiety and depression are prevalent in gender minorities, we found no association with postoperative clinical outcomes. Patients with preoperative depression were more likely to report lower satisfaction with scar appearance and feelings of depression postoperatively. However, there were no differences in chest or nipple satisfaction. These results highlight the importance of perioperative mental health counseling but also suggest that patients can be satisfied with their results despite a coexisting mental health diagnosis.

Level of Evidence: 4
Large Language Models and Artificial Intelligence: A Primer for Plastic Surgeons on the Demonstrated and Potential Applications, Promises, and Limitations of ChatGPT
Authors: Abi-Rafeh Jad , Xu Hong Hao , Kazan Roy , Tevlin Ruth , Furnas Heather 
Published: August 2023

Abstract

Background
The rapidly evolving field of artificial intelligence (AI) holds great potential for plastic surgeons. ChatGPT, a recently released AI large language model (LLM), promises applications across many disciplines, including healthcare.

Objectives
The aim of this article was to provide a primer for plastic surgeons on AI, LLM, and ChatGPT, including an analysis of current demonstrated and proposed clinical applications.

Methods
A systematic review was performed identifying medical and surgical literature on ChatGPT's proposed clinical applications. Variables assessed included applications investigated, command tasks provided, user input information, AI-emulated human skills, output validation, and reported limitations.

Results
The analysis included 175 articles reporting on 13 plastic surgery applications and 116 additional clinical applications, categorized by field and purpose. Thirty-four applications within plastic surgery are thus proposed, with relevance to different target audiences, including attending plastic surgeons (n = 17, 50%), trainees/educators (n = 8, 24.0%), researchers/scholars (n = 7, 21%), and patients (n = 2, 6%). The 15 identified limitations of ChatGPT were categorized by training data, algorithm, and ethical considerations.

Conclusions
Widespread use of ChatGPT in plastic surgery will depend on rigorous research of proposed applications to validate performance and address limitations. This systemic review aims to guide research, development, and regulation to safely adopt AI in plastic surgery.
The general significance of variability in cave regressive traits for evolution
Authors: Wilkens Horst 
Published: August 2023

Abstract
Rudimentary structures are variable, which is most impressively demonstrated by the eyes and dark body pigmentation of species evolving in caves. As these can often still be crossed with their ancestral surface sister forms, variability is usually attributed to hybridization. For two invertebrate and two vertebrate cave species, I show here that in spite of genetic separation between surface and cave forms, variability of the rudimentary structures is nonetheless present. This probably results from the loss of stabilizing selection, because neutral deleterious mutations are no longer eliminated. In contrast, compensatory traits in caves do not differ from their surface forms with respect to variability, because both are subject to selection. In the phylogenetically young Astyanax cave populations, traits compensatory to cave life have achieved different stages of adaptation compared to the phylogenetically old populations. They may show the same degree of differentiation, be intermediate or do not differ from the surface ancestor. This is attributed to different intensities of selection.
Phenotypic diversity facilitates niche partitioning in a sky island assemblage of spiny lizards
Authors: Westeen Erin P , Martínez-Fonseca José G , Chen Hanlu , Wang Ian J 
Published: August 2023

Abstract
If closely related species should be more similar and therefore more likely to compete for resources, why do we see so many examples of species-rich congeneric communities in nature? To avoid competition, many species possess suites of traits associated with differential resource use – or ecomorphologies – that promote niche differentiation with co-occurring species. Yet, the axes through which niche partitioning evolves and the traits involved are still poorly understood in most systems. Island systems, in which species interactions can form strong forces of selection due to limited resources, provide valuable insights into how ecomorphological diversity contributes to coexistence. Here, we examined axes of resource use and morphological traits that facilitate niche partitioning in a community of spiny lizards (genus Sceloporus) in a sky island system, the Chiricahua Mountains of southeastern Arizona, USA. By quantifying structural, temporal and thermal niche use for over 300 co-occurring lizards from four species over three field seasons, we show that sympatric species diverge primarily in perch height and type, but also in thermal and temporal resource use. Our results further demonstrate interspecific divergence in a suite of phenotypic traits known to covary with ecology in other lizard radiations, including body size, scale size, hindlimb length, foot length and dorsal coloration. Studies of niche partitioning and ecomorphology, especially of closely related species, deepen our understanding of how diverse communities assemble and how morphological diversity accumulates across the tree of life, and our findings highlight the importance of examining multiple axes of resource use to better understand these processes.
Can flowers help to disentangle the Vriesea oligantha complex (Bromeliaceae: Tillandsioideae)? Taxonomic implications and contributions to the floral anatomy and biology of Stigmatodon
Authors: Silva Kleber R , Oriani Aline , Versieux Leonardo M , Martinelli Adriana P 
Published: August 2023

Abstract
The Vriesea oligantha complex comprises Vriesea lancifolia, Vriesea oligantha, and Vriesea pseudoligantha, which were recently transferred to Stigmatodon. Such species exhibit strong morphological convergence to live in rocky fields, which makes difficult their identification in the wild or in herbarium specimens. In a previous work, leaf characters helped in the species delimitation and evidenced a new taxon. Considering that morphology, anatomy, and aspects of floral biology can contribute to better define species limits and to indicate potential pollinators, individuals from nine populations of V. oligantha complex were comparatively studied. The typical V. oligantha is mainly distinguished by tubular flowers, with simple petal appendages and diurnal anthesis. The remaining individuals studied from different populations exhibit campanulate corollas, with denticulate petal appendages and nocturnal anthesis, not allowing for the separation of V. lancifolia, V. pseudoligantha, and a fourth taxon. Floral anatomy is less variable than the external morphology, with little contribution to the species delimitation; however, it is helpful in the circumscription of Stigmatodon. The infralocular septal nectaries and the floral features provide evidence that the main pollinators of campanulate and tubular flowers are bats and hummingbirds, respectively. Specific pollinator guilds in combination with fragmented populations may explain the limited gene flow amongst populations.