bluuebunny/crossref_metadata_2025 huggingface dataset:
DIA-Based Proteomic Analysis Reveals MYOZ2 as a Key Protein Affecting Muscle Growth and Development in Hybrid Sheep
Authors: Zhang Dan , Yue Yaojing , Yuan Chao , An Xuejiao , Guo Tingting , Chen Bowen , Liu Jianbin , Lu Zengkui
Published: March 2024

Hybridization of livestock can be used to improve varieties, and different hybrid combinations produce unique breeding effects. In this study, male Southdown and Suffolk sheep were selected to hybridize with female Hu sheep to explore the effects of male parentage on muscle growth and the development of offspring. Using data-independent acquisition technology, we identified 119, 187, and 26 differentially abundant proteins (DAPs) between Hu × Hu (HH) versus Southdown × Hu (NH), HH versus Suffolk × Hu (SH), and NH versus SH crosses. Two DAPs, MYOZ2 and MYOM3, were common to the three hybrid groups and were mainly enriched in muscle growth and development-related pathways. At the myoblast proliferation stage, MYOZ2 expression decreased cell viability and inhibited proliferation. At the myoblast differentiation stage, MYOZ2 expression promoted myoblast fusion and enhanced the level of cell fusion. These findings provide new insights into the key proteins and metabolic pathways involved in the effect of male parentage on muscle growth and the development of hybrid offspring in sheep.
Antiseptic Functions of CGK012 against HMGB1-Mediated Septic Responses
Authors: Park Yun Jin , Heo Jong Beom , Choi Yoon-Jung , Cho Sanghee , Lee Taeho , Song Gyu Yong , Bae Jong-Sup
Published: March 2024

High mobility group box 1 (HMGB1), a protein with important functions, has been recognized as a potential therapeutic target for the treatment of sepsis. One possible mechanism for this is that inhibiting HMGB1 secretion can exert antiseptic effects, which can restore the integrity of the vascular barrier. (7S)-(+)-cyclopentyl carbamic acid 8,8-dimethyl-2-oxo-6,7-dihydro-2H,8H-pyrano[3,2-g]chromen-7-yl-ester (CGK012) is a newly synthesized pyranocoumarin compound that could function as a novel small-molecule inhibitor of the Wnt/β-catenin signaling pathway. However, no studies have yet determined the effects of CGK012 on sepsis. We investigated the potential of CGK012 to attenuate the excessive permeability induced by HMGB1 and enhance survival rates in a mouse model of sepsis with reduced HMGB1 levels following lipopolysaccharide (LPS) treatment. In both LPS-stimulated human endothelial cells and a mouse model exhibiting septic symptoms due to cecal ligation and puncture (CLP), we assessed proinflammatory protein levels and tissue damage biomarkers as indicators of reduced vascular permeability. CGK012 was applied after induction in human endothelial cells exposed to LPS and the CLP-induced mouse model of sepsis. CGK012 effectively mitigated excessive permeability and suppressed HMGB1 release, resulting in improved vascular stability, decreased mortality, and enhanced histological conditions in the mouse model of CLP-induced sepsis. In conclusion, our findings indicate that CGK012 treatment in mice with CLP-induced sepsis diminished HMGB1 release and increased the survival rate, suggesting its potential as a pharmaceutical intervention for sepsis.
Janus Kinase 3 (JAK3): A Critical Conserved Node in Immunity Disrupted in Immune Cell Cancer and Immunodeficiency
Authors: Liongue Clifford , Ratnayake Tarindhi , Basheer Faiza , Ward Alister C.
Published: March 2024

The Janus kinase (JAK) family is a small group of protein tyrosine kinases that represent a central component of intracellular signaling downstream from a myriad of cytokine receptors. The JAK3 family member performs a particularly important role in facilitating signal transduction for a key set of cytokine receptors that are essential for immune cell development and function. Mutations that impact JAK3 activity have been identified in a number of human diseases, including somatic gain-of-function (GOF) mutations associated with immune cell malignancies and germline loss-of-function (LOF) mutations associated with immunodeficiency. The structure, function and impacts of both GOF and LOF mutations of JAK3 are highly conserved, making animal models highly informative. This review details the biology of JAK3 and the impact of its perturbation in immune cell-related diseases, including relevant animal studies.
Bioinformatic Analysis of Sulfotransferases from an Unexplored Gut Microbe, Sutterella wadsworthensis 3_1_45B: Possible Roles towards Detoxification via Sulfonation by Members of the Human Gut Microbiome
Authors: Langford Lauryn , Shah Dhara D.
Published: March 2024

Sulfonation, primarily facilitated by sulfotransferases, plays a crucial role in the detoxification pathways of endogenous substances and xenobiotics, promoting metabolism and elimination. Traditionally, this bioconversion has been attributed to a family of human cytosolic sulfotransferases (hSULTs) known for their high sequence similarity and dependence on 3′-phosphoadenosine 5′-phosphosulfate (PAPS) as a sulfo donor. However, recent studies have revealed the presence of PAPS-dependent sulfotransferases within gut commensals, indicating that the gut microbiome may harbor a diverse array of sulfotransferase enzymes and contribute to detoxification processes via sulfation. In this study, we investigated the prevalence of sulfotransferases in members of the human gut microbiome. Interestingly, we stumbled upon PAPS-independent sulfotransferases, known as aryl-sulfate sulfotransferases (ASSTs). Our bioinformatics analyses revealed that members of the gut microbial genus Sutterella harbor multiple asst genes, possibly encoding multiple ASST enzymes within its members. Fluctuations in the microbes of the genus Sutterella have been associated with various health conditions. For this reason, we characterized 17 different ASSTs from Sutterella wadsworthensis 3_1_45B. Our findings reveal that SwASSTs share similarities with E. coli ASST but also exhibit significant structural variations and sequence diversity. These differences might drive potential functional diversification and likely reflect an evolutionary divergence from their PAPS-dependent counterparts.
Analysis of Road Infrastructure and Traffic Factors Influencing Crash Frequency: Insights from Generalised Poisson Models
Authors: Khattak Muhammad Wisal , De Backer Hans , De Winne Pieter , Brijs Tom , Pirdavani Ali
Published: March 2024

This research utilises statistical modelling to explore the impact of roadway infrastructure elements, primarily those related to cross-section design, on crash occurrences in urban areas. Cross-section design is an important step in the roadway geometric design process as it influences key operational characteristics like capacity, cost, safety, and overall functionality of the transport system entity. Evaluating the influence of cross-section design on these factors is relatively straightforward, except for its impact on safety, especially in urban areas. The safety aspect has resulted in inconsistent findings in the existing literature, indicating a need for further investigation. Negative binomial (NB) models are typically employed for such investigations, given their ability to account for over-dispersion in crash data. However, the low sample mean and under-dispersion occasionally exhibited by crash data can restrict their applicability. The generalised Poisson (GP) models have been proposed as a potential alternative to NB models. This research applies GP models for developing crash prediction models for urban road segments. Simultaneously, NB models are also developed to enable a comparative assessment between the two modelling frameworks. A six-year dataset encompassing crash counts, traffic volume, and cross-section design data reveals a significant association between crash frequency and infrastructure design variables. Specifically, lane width, number of lanes, road separation, on-street parking, and posted speed limit are significant predictors of crash frequencies. Comparative analysis with NB models shows that GP models outperform in cases of low sample mean crash types and yield similar results for others. Overall, this study provides valuable insights into the relationship between road infrastructure design and crash frequency in urban environments and offers a statistical approach for predicting crash frequency that maintains a balance between interpretability and predictive power, making it more viable for practitioners and road authorities to apply in real-world road safety scenarios.
Numerical Modeling of Cracked Arch Dams. Effect of Open Joints during the Construction Phase
Authors: Conde André , Salete Eduardo , Toledo Miguel Á.
Published: March 2024

Running a numerical model for a cracked arch dam that takes into account all the particularities of the materials and dam with a high level of detail has a great computational cost involved. For this reason, it is usual to simplify such a model in search of a simpler solution while preserving the characteristic of being representative, with all the particularities that the model of an arch dam has. A common simplification lies in not considering open transverse joints in the construction phase of a cracked dam. An aim of this study is to propose a methodology that combines open joints and cracking, something on which, to the authors’ knowledge, no studies have been published. An additional goal is a study of the need and adequacy of different approaches on performance (computational time) and its consequences for model accuracy. For this purpose, an accurate methodology for a stationary finite element method numerical simulation of deformations in cracked arch dams is presented. Using a tetrahedron mesh of a real dam, different simplifications commonly used in numerical models are compared. It is concluded that some of the standard simplifications produce a significant effect on the computation time and accuracy of the results.
An Able-Bodied Study for Potential Usage of a Knee Scooter as a Constraint-Induced Movement Therapy (CIMT) Gait Training Device
Authors: Kim Jaewook , Kim Yekwang , Moon Juhui , Kim Seung-Jong
Published: March 2024

Post-stroke gait is characterized by slow and asymmetrical hemiparetic gait. This is attributed to the paretic lower limb which has limited plantar propulsion. The most effective method to restore paretic limb function is constraint-induced movement therapy (CIMT), which promotes the usage of the paretic limb by restricting the movement of the unafflicted limb. However, due to the necessity of both lower limbs to perform gait, CIMT methods could not be directly applied for gait rehabilitation. In this study, we explore the feasibility of utilizing a knee scooter as a means to facilitate CIMT gait training. We hypothesize that if lower limb kinematics and muscle activation patterns during gait with a knee scooter match that of natural gait, the knee scooter could be utilized for CIMT gait training. We measured the lower-limb joint angles, plantar force, EMG patterns, stride length, and step times of 13 healthy subjects during gait with a knee scooter and natural gait. The results suggest that the gait patterns while using the knee scooter closely resemble those of natural gait.
Leveraging the Activated Monomer Mechanism to Create Grafted Polymer Networks in Epoxide–Acrylate Hybrid Photopolymerizations
Authors: Dillman Brian F. , Schissel Sage M. , Jessop Julie L. P.
Published: March 2024

Hybrid epoxide–acrylate photopolymerization enables the temporal structuring of polymer networks for advanced material properties. The ability to design polymer network architectures and to tune mechanical properties can be realized through the control of the cationic active center propagation reaction (active chain end mechanism) relative to the cationic chain transfer reaction (activated monomer mechanism). Grafted polymer networks (GPNs) can be developed through the covalent bonding of epoxide chains to acrylate chains through hydroxyl substituents, making hydroxyl-containing acrylates a promising class of chain transfer agents. This work demonstrates the formation of these GPNs and explores the physical properties obtained through the control of hydroxyl content and hybrid formulation composition. The GPNs exhibit a lower glass transition temperature than the neat epoxide network and result in a more homogeneous network. Further investigations of hydroxyl-containing acrylates as chain transfer agents will generate a wider range of physical property options for photopolymerized hybrid coatings, sealants, and adhesives.
Clinical Perspectives on the Use of Computer Vision in Glaucoma Screening
Authors: Camara José , Cunha Antonio
Published: March 2024

Glaucoma is one of the leading causes of irreversible blindness in the world. Early diagnosis and treatment increase the chances of preserving vision. However, despite advances in techniques for the functional and structural assessment of the retina, specialists still encounter many challenges, in part due to the different presentations of the standard optic nerve head (ONH) in the population, the lack of explicit references that define the limits of glaucomatous optic neuropathy (GON), specialist experience, and the quality of patients’ responses to some ancillary exams. Computer vision uses deep learning (DL) methodologies, successfully applied to assist in the diagnosis and progression of GON, with the potential to provide objective references for classification, avoiding possible biases in experts’ decisions. To this end, studies have used color fundus photographs (CFPs), functional exams such as visual field (VF), and structural exams such as optical coherence tomography (OCT). However, it is still necessary to know the minimum limits of detection of GON characteristics performed through these methodologies. This study analyzes the use of deep learning (DL) methodologies in the various stages of glaucoma screening compared to the clinic to reduce the costs of GON assessment and the work carried out by specialists, to improve the speed of diagnosis, and to homogenize opinions. It concludes that the DL methodologies used in automated glaucoma screening can bring more robust results closer to reality.
The Effects of Regional Muscle Strength and Mass on Standing Long Jump Performance
Authors: Nakai Yuki , Usumoto Yujiro , Takeshita Yasufumi
Published: March 2024

Muscle strength and mass strongly influence performance. The role of the trunk, upper limbs, and lower limbs in a specific performance is important but unclear in terms of muscle strength, muscle mass, and the degree of influence of each part. Standing long jump is a performance that produces results by not only the muscles of the lower limbs working together but also the entire body, including the trunk and upper limbs. To determine the influence of muscle strength and the mass of each body part on standing long jump, 31 healthy young adults (18 males and 13 females) participated in this study. Abdominal trunk muscle strength, grip strength, and knee extension muscle strength were measured, each of which was defined as trunk, upper limb, and lower limb muscle strength. The trunk, upper limb, and lower limb muscle masses were measured using a body composition analyzer. Performance was measured using the standing long jump test (jumping power). Factors influencing standing long jump were examined. A multiple regression analysis revealed that trunk (β = 0.367, p = 0.006) and upper limb (β = 0.608, p < 0.001) muscle strength values were extracted for standing long jump (adjusted R2 = 0.574, p < 0.01). Trunk and upper limb muscle strength influence standing long jumps.
Polymer-Clay Nanocomposites for the Uptake of Hazardous Anions
Authors: Zhang Huaibin , Huang Wenyan , Komarneni Sridhar
Published: March 2024

Polymer intercalated clay nanocomposites were prepared from various montmorillonites (Mt) and a polymer, polydiallyldimethylammonim (PDDA) chloride. X-ray diffraction (XRD) analysis of the above polymer intercalated nanocomposites showed either no crystalline peaks or very broad peaks with the intercalation of PDDA polymer in the interlayers, probably as a result of exfoliation of the clay layers. Infrared spectroscopy revealed the presence of PDDA in all the clay nanocomposite materials. The maximum adsorption capacities of nitrate, perchlorate, and chromate by one of the polymer intercalated nanocomposite materials prepared from montmorillonite, Kunipea were 0.40 mmol·g−1, 0.44 mmol·g−1 and 0.299 mmol·g−1, respectively. The other two polymer intercalated nanocomposites prepared with montmorillonites from Wyoming and China showed very good adsorption capacities for perchlorate but somewhat lower uptake capacities for chromate and nitrate compared to the nanocomposite prepared from montmorillonite from Kunipea. The uptake of nitrate, perchlorate and chromate by the polymer intercalated nanocomposites could be well described using the Freundlich isotherm while their uptake kinetics fitted well to the pseudo-second-order model. The uptake kinetics of nitrate, perchlorate, and chromate were found to be fast as equilibrium was reached within 4 h. Moreover, the uptakes of chromate by polymer intercalated nanocomposites were found to be highly selective in the presence of Cl−, SO42− and CO32−, the most abundant naturally occurring anions.
Copper in Commercial Marine Fish: From Biomonitoring to the ESG (Environment, Social, and Governance) Method
Authors: Yap Chee Kong , Austin Hew Tze Yik , Nulit Rosimah , Syazwan Wan Mohd , Okamura Hideo , Horie Yoshifumi , Ong Meng Chuan , Ismail Mohamad Saupi , Kumar Krishnan , Zakaly Hesham M. H. , Cheng Wan Hee
Published: March 2024

The presence of potentially harmful metals in commercially available saltwater fish has been extensively documented in scientific literature. This has demonstrated the significance of monitoring the crucial copper (Cu) levels in fish fillets from a perspective focused on human health risks (HHR). This study aimed to evaluate the human health risk (HHR) associated with the presence of Cu in 40 different species of commercial marine fish purchased from Malaysia. The fish samples were gathered from various sources from April to May 2023. The 40 species of commercial marine fish had concentrations of Cu (0.72–82.3 mg/kg dry weight) that fell below acceptable levels defined by seafood safety recommendations. Therefore, these fish are considered good sources of the essential element. The target hazard quotient values for Cu were below 1, suggesting that the hazards of Cu from fish eating are non-carcinogenic. Furthermore, it was discovered that the computed values for the predicted weekly consumption were lower than the defined provisional tolerated weekly intake of Cu. Consuming fish purchased from Malaysia is unlikely to harm consumers’ necessary copper intake. However, it is crucial to consistently monitor the safety of consumers who heavily depend on commercially caught marine fish from Malaysia. This monitoring is an essential aspect of implementing environmental, social, and governance (ESG) practices, which industries are concerned about and report on annually.
Autonomous Landing of Quadrotor Unmanned Aerial Vehicles Based on Multi-Level Marker and Linear Active Disturbance Reject Control
Authors: Lv Mingming , Fan Bo , Fang Jiwen , Wang Jia
Published: March 2024

Landing on unmanned surface vehicles (USV) autonomously is a critical task for unmanned aerial vehicles (UAV) due to complex environments. To solve this problem, an autonomous landing method is proposed based on a multi-level marker and linear active disturbance rejection control (LADRC) in this study. A specially designed landing board is placed on the USV, and ArUco codes with different scales are employed. Then, the landing marker is captured and processed by a camera mounted below the UAV body. Using the efficient perspective-n-point method, the position and attitude of the UAV are estimated and further fused by the Kalman filter, which improves the estimation accuracy and stability. On this basis, LADRC is used for UAV landing control, in which an extended state observer with adjustable bandwidth is employed to evaluate disturbance and proportional-derivative control is adopted to eliminate control error. The results of simulations and experiments demonstrate the feasibility and effectiveness of the proposed method, which provides an effective solution for the autonomous recovery of unmanned systems.
Experimental Study on the Characterization of Aging Resistance Properties of Optical Cables in the Hydrogen-Containing Downhole Environment
Authors: Xu Feng , Li Litong , Jing Peng , Yu Zhiwei , Zhang Jialiang , Liu Shuhui
Published: March 2024

The utilization of downhole optical cables has significantly enhanced the efficiency and reliability of oilfield production operations; however, the challenging high-temperature and high-pressure conditions prevalent in oil-gas fields markedly reduce the service lifespan of these optical cables. This limitation severely impedes their application and further development in subterranean environments. In this study, a qualitative analysis was conducted on the structural materials utilized in two types of optical cables to identify these materials and assess the high-temperature tolerance and aging resistance properties of the optical fibers incorporated within. It was discovered that hydrogen infiltration into the subterranean optical cables predominantly accounts for their operational failure. To address this issue, an optical loss testing platform was established, facilitating the execution of a high-temperature and high-pressure hydrogen permeation aging experiment on the optical fibers, allowing for the evaluation of the hydrogen resistance capabilities of the two types of optical fibers. The findings from this study provide a theoretical foundation and methodological guidance for the optimization of optical fibers, aiming to enhance their durability and functional performance in adverse environmental conditions encountered in oil-gas field applications.
A Comparative Study of Narrow/Ultra-Wideband Microwave Sensors for the Continuous Monitoring of Vital Signs and Lung Water Level
Authors: Abd El-Hameed Anwer S. , Elsheakh Dalia M. , Elashry Gomaa M. , Abdallah Esmat A.
Published: March 2024

This article presents an in-depth investigation of wearable microwave antenna sensors (MASs) used for vital sign detection (VSD) and lung water level (LWL) monitoring. The study looked at two different types of MASs, narrowband (NB) and ultra-wideband (UWB), to decide which one was better. Unlike recent wearable respiratory sensors, these antennas are simple in design, low-profile, and affordable. The narrowband sensor employs an offset-feed microstrip transmission line, which has a bandwidth of 240 MHz at −10 dB reflection coefficient for the textile substrate. The UWB microwave sensor uses a CPW-fed line to excite an unbalanced U-shaped radiator, offering an extended simulated operating bandwidth from 1.5 to 10 GHz with impedance matching ≤−10 dB. Both types of microwave sensors are designed on a flexible RO 3003 substrate and textile conductive fabric attached to a cotton substrate. The specific absorption rate (SAR) of the sensors is measured at different resonant frequencies on 1 g and 10 g of tissue, according to the IEEE C95.3 standard, and both sensors meet the standard limit of 1.6 W/kg and 2 W/kg, respectively. A simple peak-detection algorithm is used to demonstrate high accuracy in the detection of respiration, heartbeat, and lung water content. Based on the experimental results on a child and an adult volunteer, it can be concluded that UWB MASs offer superior performance when compared to NB sensors.
Hybrid Grid Pattern Star Identification Algorithm Based on Multi-Calibration Star Verification
Authors: Shen Chao , Ma Caiwen , Gao Wei , Wang Yuanbo
Published: March 2024

In order to solve the star identification problem in the lost space mode for scientific cameras with small fields of view and higher instruction magnitudes, this paper proposes a star identification algorithm based on a hybrid grid pattern. The application of a hybrid pattern generated by multi-calibration stars in the initial matching enables the position distribution features of neighboring stars around the main star to be more comprehensively described and avoids the interference of position noise and magnitude noise as much as possible. Moreover, calibration star filtering is adopted to eliminate incorrect candidates and pick the true matched navigation star from candidate stars in the initial match. Then, the reference star image is utilized to efficiently verify and determine the final identification results of the algorithm via the nearest principle. The performance of the proposed algorithm in simulation experiments shows that, when the position noise is 2 pixels, the identification rate of the algorithm is 96.43%, which is higher than that of the optimized grid algorithm by 2.21% and the grid algorithm by 4.05%; when the magnitude noise is 0.3 mag, the star identification rate of the algorithm is 96.45%, which is superior to the optimized grid algorithm by 2.03% and to the grid algorithm by 3.82%. In addition, in the actual star image test, star magnitude values of ≤12 mag can be successfully identified using the proposed algorithm.
Detection Transformer with Multi-Scale Fusion Attention Mechanism for Aero-Engine Turbine Blade Cast Defect Detection Considering Comprehensive Features
Authors: Zhang Han-Bing , Zhang Chun-Yan , Cheng De-Jun , Zhou Kai-Li , Sun Zhi-Ying
Published: March 2024

Casting defects in turbine blades can significantly reduce an aero-engine’s service life and cause secondary damage to the blades when exposed to harsh environments. Therefore, casting defect detection plays a crucial role in enhancing aircraft performance. Existing defect detection methods face challenges in effectively detecting multi-scale defects and handling imbalanced datasets, leading to unsatisfactory defect detection results. In this work, a novel blade defect detection method is proposed. This method is based on a detection transformer with a multi-scale fusion attention mechanism, considering comprehensive features. Firstly, a novel joint data augmentation (JDA) method is constructed to alleviate the imbalanced dataset issue by effectively increasing the number of sample data. Then, an attention-based channel-adaptive weighting (ACAW) feature enhancement module is established to fully apply complementary information among different feature channels, and further refine feature representations. Consequently, a multi-scale feature fusion (MFF) module is proposed to integrate high-dimensional semantic information and low-level representation features, enhancing multi-scale defect detection precision. Moreover, R-Focal loss is developed in an MFF attention-based DEtection TRansformer (DETR) to further solve the issue of imbalanced datasets and accelerate model convergence using the random hyper-parameters search strategy. An aero-engine turbine blade defect X-ray (ATBDX) image dataset is applied to validate the proposed method. The comparative results demonstrate that this proposed method can effectively integrate multi-scale image features and enhance multi-scale defect detection precision.
Geographic Distribution Characteristics and Influencing Factors for Industrial Heritage Sites in Italy Based on GIS
Authors: Fan Xiaoli , Sun Lei
Published: March 2024

A comprehensive understanding of industrial legacy, considering its social, economic, and environmental aspects, is crucial for its preservation. This study scrutinizes 120 industrial heritage sites, investigating spatial–temporal patterns and influential factors. The aim is to provide a scientific basis for the conservation and management of the Italian industrial heritage. (1) The research underscores Italy’s industrial legacy’s tendency for clustering and uneven dispersion, prominently concentrated in the northern regions while notably sparse in the south. (2) Geographical advantages, a history of advanced industrialization, higher economic levels, greater population density, and supportive policies foster a concentration of industrial development and greater diversity of heritage types in the North. (3) The recommendations advocate for tailored conservation and management strategies tailored to the distinct characteristics of Italian industrial history. These strategies advocate for increased public involvement, reinforced legislative protection, and the promotion of tourism and cultural education to sustainably develop heritage assets. The findings and methodologies of this study can effectively identify the causes of the formation of the Italian industrial heritage, thereby offering a broader perspective to bolster its preservation and administration. It also provides a valuable reference for global industrial heritage preservation and management strategies.
Adaptive MPC-Based Lateral Path-Tracking Control for Automatic Vehicles
Authors: Yang Shaobo , Qian Yubin , Hu Wenhao , Xu Jiejie , Sun Hongtao
Published: March 2024

For continuously changing road conditions and vehicle operating states, the exactitude of vehicle path tracking has not been secured by model predictive control based on linear lateral stiffness. An amended square root cubature Kalman filter method based on the minimization of a new covariance of interest is proposed to calculate the tire lateral deflection force in real time. The ratio of the estimated tire force to the linear tire force was used as a ratio to adjust the lateral deflection stiffness, and an adaptive model predictive controller was built based on the vehicle path-tracking error model to correct the tire lateral deflection stiffness. Finally, an analysis based on the joint CarSim and Simulink simulation platform shows that compared to a conventional model predictive control (MPC) controller, a trajectory-following controller built based on this method can effectively reduce the lateral distance error and heading error of an autonomous vehicle. Especially under low adhesion conditions, the conventional MPC controllers will demonstrate large instability during trajectory tracking due to the deviation of the linear tire force calculation results, whereas the adaptive model predictive control (AMPC) controllers can correct the side deflection stiffness by estimating the tire force and still achieve stable and effective tracking of the target trajectory. This suggests that the proposed algorithm can improve the effectiveness of trajectory tracking control for autonomous vehicles, which is an important reference value for the optimization of autonomous vehicle control systems.
Perspectiva da aplicação do enxerto gengival livre no tratamento da recessão gengival
Authors: Teixeira Marcus Victor Santos , Gomes Williams da Silva Vieira , Coelho Lara Lacerda , Raulino Thiago Vinícius Teixeira , Freitas Kleverson Gomes , Costa Neto Raimundo Alexandre , Reis Lyara Francisca de Oliveira , Leal Matheus da Silva Cavalcante , Franco Jadna Silva
Published: March 2024

Introdução: O periodonto é fundamental para a manutenção da funcionalidade que envolve o sistema estomatognático e para a estética oral. Objetivo: Verificar a partir de literatura atualizada as evidências científicas acerca da perspectiva da aplicação do enxerto gengival livre no tratamento da recessão gengival. Metodologia: Trata-se de uma revisão integrativa, realizada em janeiro de 2024 com busca nas bases de dados: SCIELO, LILACS, PUBMED e BBO. Os descritores selecionados foram: Periodontia cirúrgica, Enxerto gengival, Recessão gengival, associados aos operadores booleanos. Inclusão de estudos entre 2015 a 2024 com artigos na íntegra, relevantes e disponíveis em português, inglês ou espanhol. Exclusão de textos incompletos, repetidos e sem relevância para temática.  Resultados e Discussão: Foram selecionados 24 estudos. A recessão gengival é o deslocamento apical da margem gengival causado por diferentes condições e patologias, associadas à perda de inserção clínica. A escolha pelo tratamento cirúrgico requer avaliação das condições da retração gengival ao nível da migração apical, tecidos comprometidos, considerando-se a área é unitária ou múltipla, anterior ou posterior. O enxerto gengival livre é como um transplante tecidual invasivo envolvendo uma área doadora e outra receptora, alertando sobre a escolha e o planejamento de intervenção do local de doação, o palato e a tuberosidade da maxila são regiões doadoras. Conclusão: Aplicação do enxerto gengival livre é de suma relevância na área da periodontia, pois proporciona benefícios, como a devolução do restabelecimento funcional, através do recobrimento radicular da retração gengival. Melhora da autoestima, evitando a mobilidade, perda futura do elemento dentário.
Relato de experiência: elaboração de vídeo educativo sobre o uso de bomba de insulina para controle rigoroso de glicemia em pacientes críticos internados na unidade de terapia intensiva
Authors: De Faria Roberta Repulho , Ferreira Luciene Barbosa Bispo , Moreira Karina Pinheiro , Merchon Jessica Chamorrro , Dos Santos Graziela Maria , Assis Geiza Bairral , Sousa Angélica Batista
Published: March 2024

A hiperglicemia é um diagnóstico frequente na UTI, seu controle deve ser rigoroso para não gerar danos ao paciente. O manejo da bomba de insulina é crucial para o sucesso do tratamento sem causar danos. O Objetivo principal do trabalho é elaborar e explanar vídeo educativo a respeitosos cuidados e manejos do protocolo da bomba de insulina.  A metodologia utilizada foi a elaboração de vídeo educativo, realizado pela equipe de enfermagem com foco em melhorar e garantir o manejo adequado da insulinização contínua. Foi proposto para a equipe de enfermagem, utilizar-se de recurso audiovisual para desenvolver uma ação educativa direcionada para a própria equipe de enfermagem da UTI, visando melhorar o conhecimento da equipe de enfermagem a respeito do protocolo institucional de manejo da bomba de insulina,  tornando mais seguro este procedimento. Resultados: Foi proposto à equipe de enfermagem a realização do vídeo e explanação a respeito do protocolo, publicado na plataforma YouTube, com duração de 2:30 minutos. Sendo realizado a gravação e edição por funcionário da UTI, sem custos. O vídeo pode ser acessado a partir do qr code ao lado. CONCLUSÃO: O vídeo educativo é um recurso educativo de fácil acesso, baixo custo e fácil reprodução, favorecendo a disseminação de boas práticas entre as equipes de enfermagem. A capacitação gerada pelo vídeo garante melhoria na execução da insulinização contínua do cliente, resultando em sua maior segurança.
Acidente vascular encefálico isquêmico - aspectos epidemiológicos, fisiopatológicos e manejo terapêutico
Authors: Fiche Ana Clara Netto Armando , De Oliveira Laura , Ribeiro Maria Palma , Fonseca Roberta Médice , Lamarca Stephany Rocha
Published: March 2024

O acidente vascular encefálico (AVE) é uma condição grave e frequentemente incapacitante, caracterizada pelo aparecimento de sinais neurológicos focais devido a problemas vasculares no cérebro, que podem ser isquêmicos ou hemorrágicos. Representando uma das principais causas de morte e incapacidade em todo o mundo, o AVE é mais comum em idosos, com fatores de risco como hipertensão, tabagismo e diabetes aumentando sua probabilidade. O AVE isquêmico, causado por interrupção do fluxo sanguíneo cerebral, é o tipo mais comum; a incidência é maior em homens jovens, mas em idosos, as mulheres são mais afetadas. Os sintomas repentinos incluem perda de equilíbrio, fraqueza e dificuldade de fala, exigindo intervenção imediata para reduzir a morbidade e a mortalidade. Escalas de avaliação rápida pré-hospitalares ajudam a identificar a oclusão de grandes vasos, enquanto a história clínica e o exame físico fornecem informações cruciais. Outrossim, exames de imagem como tomografia computadorizada (TC) e ressonância nuclear magnética (RNM) são essenciais para o diagnóstico, com a trombólise intravenosa e a trombectomia mecânica sendo tratamentos padrão para AVE isquêmico agudo. A pressão arterial deve ser controlada, e a terapia antiplaquetária iniciada após 24 horas, juntamente com medidas de cuidado adicionais como controle da glicemia e prevenção de trombose venosa. Essas intervenções são essenciais para preservar o tecido cerebral viável e melhorar os resultados dos pacientes.
A assistência de enfermagem na prevenção da pneumonia associada à ventilação mecânica (PAVM)
Authors: Ribeiro Francielle Grossi , Bonet Leiri , Pinheiro Paulo Henrik Silva , Vieira Ualace Alberto , Ferreira Edimara Gomes , Baminger Jonatas , Ebert Bruna Lourraine da Rocha
Published: March 2024

Dentro da Unidade de Terapia Intensiva (UTI) os pacientes que estão sob Ventilação Mecânica (VM) estão expostos diariamente a adquirir pneumonia associada à ventilação mecânica (PAVM). A PAVM é uma infecção que está relacionada com á assistência à saúde, pois existem várias ações da equipe de enfermagem e multidisciplinar que podem ser relacionados à sua profilaxia. OBJETIVOS: Elencar a importância da utilização de um conjunto de práticas baseadas em evidencias (bundles) visando à redução dos níveis de infecção relacionados à PAVM. METODOLOGIA: Para a realização deste resumo bibliográfico, foi utilizado o Manual de Infecções do Trato Respiratório fornecido pela Agência Nacional de Vigilância Sanitária, assim como alguns artigos indexados nas bases de dados SciELO e Google Acadêmico. RESULTADOS E DISCUSSÃO: A vigilância da PAVM tem que ser muito criteriosa e realizada com base nas definições de protocolos e bundles padronizados nas UTIs. Sendo assim, é de suma importância à educação continuada da equipe de saúde na prevenção de infecção hospitalar, fazendo com que a equipe consiga compreender a importância da correta higienização das mãos e de outras medidas de prevenção e controle. CONCLUSÃO: Com base na análise dos artigos pesquisados pode-se acreditar que os casos de PAVM estão relacionados com a falta de treinamento da equipe multiprofissional atuante dentro da UTI. E que a adoção de boas práticas na assistência e utilização correta dos Equipamentos de Proteção, combinada com a educação dos profissionais e a utilização dos protocolos e budles, se torna a forma mais eficaz de prevenção de PAVM, diminuindo tempo de internação, e consequentemente auxiliando na diminuição de eventos adversos ao paciente e na diminuição de custos hospitalares.
Protegendo o futuro: a vacinação infantil como ação de prevenção e promoção à saúde na atenção primária
Authors: Silva Raylanna Oliveira , Lima Pâmela Lorrane Sousa , Pessoa Nágila Anne da Silva , Fernandes Hayla Bertrine Guedes Barbosa , Da Cruz Ana Vitória Correia , Prates Carlos Henrique Nonato , Fraga Vanessa Rodrigues Silva
Published: March 2024

A vacinação infantil, essencial para a saúde pública mundial, desempenha papel crucial na prevenção de doenças e na redução de morbidade e custos associados à saúde. Apesar dos avanços científicos, desafios persistem, como desinformação e falta de acesso a serviços de saúde. A pandemia de COVID-19 acentuou a queda nas taxas de cobertura vacinal no Brasil, exigindo ações específicas. Dessa forma, esse projeto de intervenção teve por objetivo abordar questões críticas relacionadas à imunização infantil, com foco na informação e sensibilização de crianças, pais e responsáveis quanto a importância das vacinas, apresentando o Calendário Básico de Vacinação e destacando a relevância na prevenção de doenças. O projeto, implementado no segundo semestre de 2023, contribuiu para a conscientização da população sobre a importância da vacinação, especialmente gestantes, idosos e crianças. A dinâmica incluiu apresentações teóricas, debates em grupo, dinâmicas de aprendizado e distribuição de brindes e cartazes informativos. O projeto reforçou que a vacinação infantil é crucial para proteger as crianças contra doenças e suas potenciais sequelas. Ao destacar a compreensão dos responsáveis sobre a importância da vacinação, foram enfatizados os benefícios para a saúde infantil, prevenindo doenças infectocontagiosas e potenciais complicações. Portanto, enfatiza-se a necessidade contínua de desenvolver novas ações em saúde voltadas à vacinação para mitigar esses desafios e garantir a proteção da saúde pública.
Impacto das dietas de baixo carboidrato no emagrecimento e saúde cardiovascular
Authors: Lourenço Nathalia Pompeu Vilela , De Simone Thays Valentim , Cavalheiro Marcel Reis
Published: March 2024

Introdução: Este artigo aborda o papel das dietas de baixo carboidrato na promoção da perda de peso e na melhoria da saúde cardiovascular. A popularidade crescente dessas dietas, incluindo Atkins, Cetogênica e Paleo, motivou uma análise detalhada de seus efeitos com base em evidências científicas. Métodos: Realizou-se uma revisão sistemática de literatura, sem restrições de data, abrangendo bases de dados como PubMed e Google Scholar. Os critérios de seleção focaram na qualidade e relevância dos estudos, incluindo ensaios clínicos randomizados e meta-análises que examinaram os impactos das dietas de baixo carboidrato. Resultados: Os estudos analisados indicam que dietas de baixo carboidrato são eficazes para a perda de peso a curto prazo. Por exemplo, estudos de Bazzano et al. e de Shai et al. demonstraram uma perda de peso significativa em comparação com dietas de baixa gordura. Em relação à saúde cardiovascular, pesquisas como as de Volek et al. e de Foster et al. evidenciaram melhorias nos níveis de triglicerídeos e HDL-colesterol, bem como redução na pressão arterial. Conclusão: As dietas de baixo carboidrato mostram-se eficazes para emagrecimento e podem trazer benefícios cardiovasculares. Contudo, a individualização da dieta e a supervisão de profissionais de saúde são fundamentais para garantir a segurança e a sustentabilidade a longo prazo. Mais estudos são necessários para entender os impactos dessas dietas, especialmente a longo prazo e em populações diversas.
Intervenções nutricionais para a população geriátrica: estratégias de combate à mal nutrição
Authors: De Oliveira Talles Matos , Vaz Luciana Batista Ferreira , Nogueira Felipe Chalella , Heckert Victor Hugo , Pizzol Matheus Henrique , De Simone Thays Valentim , Oliveira José Itamário Hymer de Brito Costa dos Santos , De Farias Cláudio Duarte Branco
Published: March 2024

busca pela saúde ideal dos idosos. Inicialmente, a avaliação precisa do estado nutricional emerge como um ponto de partida fundamental. Em seguida, estratégias terapêuticas são desenvolvidas com base nas necessidades específicas de calorias e proteínas para atender às demandas singulares dos idosos. O artigo também explora a eficácia de suplementos nutricionais e agentes estimulantes do apetite como ferramentas terapêuticas no combate à desnutrição em idosos. Além disso, destaca-se a imperiosa necessidade de repor micronutrientes essenciais, abordando deficiências comuns que frequentemente afligem esse grupo demográfico. Essa análise tem como objetivo principal fornecer orientações sólidas para profissionais de saúde, visando aprimorar significativamente a qualidade de vida e promover a saúde integral da população geriátrica. Tais intervenções nutricionais, embasadas em evidências robustas, tornam-se instrumentos cruciais para alcançar esses objetivos.
Estratégias nutricionais para o manejo de pacientes com Anorexia
Authors: Quental Filho Antonio Ricardo Torres , Cavicchioli Ana Carolina Marion , Camelo Sabrina Soares , Lourenço Nathalia Pompeu Vilela , Vaz Luciana Batista Ferreira , Lopes Filho Jurimar Cidade , De Oliveira Talles Matos
Published: March 2024

Objetivos: Este artigo visa explorar abordagens multidisciplinares no manejo da anorexia nervosa, com ênfase específica em estratégias nutricionais avançadas, suporte psicológico baseado em evidências e práticas de monitoramento clínico rigoroso. Materiais e Metodos: Realizou-se uma revisão abrangente da literatura, incluindo estudos clínicos randomizados, revisões sistemáticas e diretrizes de organizações de saúde reconhecidas. A seleção de estudos foi pautada pela relevância clínica, robustez metodológica e atualidade das informações. Resultados Estratégias Nutricionais: Identificou-se a importância da restauração do peso e reequilíbrio metabólico através de uma realimentação gradual, para mitigar riscos da síndrome de realimentação. A personalização do plano nutricional, enfatizando o equilíbrio de macro e micronutrientes, e a suplementação direcionada foram destacadas. Suporte Psicológico: As intervenções psicológicas, com destaque para a Terapia Cognitivo-Comportamental, mostraram eficácia no enfrentamento de distorções cognitivas e comportamentais relacionadas à alimentação e imagem corporal. Monitoramento Clínico: O papel vital dos exames laboratoriais regulares, incluindo avaliações hematológicas, metabólicas e de densidade óssea, foi enfatizado para a detecção precoce de complicações e ajuste oportuno do tratamento. Conclusão: O manejo eficiente da anorexia nervosa requer uma abordagem multidisciplinar e tecnicamente sofisticada, integrando estratégias nutricionais especializadas, suporte psicológico e monitoramento clínico rigoroso. Esta abordagem integrada é crucial para abordar os aspectos físicos e psicológicos complexos da anorexia, promovendo uma recuperação sustentada e melhorando os resultados a longo prazo para os pacientes.
Avaliação da qualidade do pré-natal com base na análise de solicitação de exames e do diagnóstico envolvendo a hiperglicemia na gestação
Authors: Piantino Gabriella , De Barros Cynthia Roberta Torres , Piantino Victória , Da Cunha Maria Júlia Ferreira de Carvalho Mariano Rodrigues
Published: March 2024

Nos últimos anos, no Brasil, houve um aumento da cobertura de pré-natal como resultado de programas governamentais instituídos. Apesar disso, não foi observado um aumento da qualidade desse pré-natal na mesma proporção, principalmente quando se analisa a solicitação de exames e as recomendações necessárias. A hiperglicemia na gestação é um grupo de condições que envolve Diabetes Mellitus Gestacional e Diabetes Mellitus prévio com diagnóstico estabelecido durante o período gestacional. Os critérios de diagnóstico recomendados são baseados nos resultados do estudo Hyperglycemia and Adverse Pregnancy Outcome (HAPO) e de acordo com os critérios da Associação Internacional dos Grupos de Estudos de Diabetes e Gravidez (IADPSG). Essas condições, quando não diagnosticadas e tratadas adequadamente podem trazer complicações e prejuízos ao binômio materno-fetal, além de complicações futuras para recém-nascido e criança.  Esse é um estudo observacional transversal retrospectivo que tem como objetivo avaliar a qualidade do pré-natal analisando-se a solicitação de exames e o diagnóstico envolvendo a hiperglicemia na gestação.
Importância do consumo de diferentes fontes de proteína na recuperação muscular após o exercício
Authors: Nogueira Felipe Chalella , Moreira Eduardo Vinicius França , Lopes Valeria Leal Braulio , Cavicchioli Ana Carolina Marion , Puiatti Mariane Araújo
Published: March 2024

Objetivo: O consumo adequado de proteínas pós-exercício é crucial para a recuperação e o crescimento muscular. A literatura científica debate o momento ideal, quantidade e qualidade das proteínas, exigindo uma compreensão detalhada das fontes e estratégias de consumo. Esta pesquisa visa esclarecer práticas nutricionais para otimizar a performance atlética e a recuperação muscular, fornecendo orientação para atletas e praticantes de atividades físicas. Metodologia: Revisão de literatura utilizando palavras-chave relevantes, como "fonte de proteínas", "recuperação muscular", "exercício físico" e "performance muscular". Resultados: Após exercícios de resistência, a ingestão de proteínas é crucial para a recuperação muscular durante a "janela anabólica", com destaque para fontes ricas em leucina, como soro do leite, carne e ovos. Combinações de proteínas vegetais podem complementar aminoácidos, enquanto a digestibilidade e absorção rápida de proteínas como soro do leite e claras de ovos são vantajosas. Não há correlações diretas entre alto consumo de proteínas e problemas renais ou hepáticos, mas a orientação profissional é vital para otimizar resultados. Conclusão: O consumo de proteínas após o exercício é crucial para a síntese proteica muscular, redução da sua degradação e recuperação mais eficaz no pós-treino. optar por fontes proteicas de alta qualidade e a combinação das diferentes fontes proteicas.