bluuebunny/crossref_metadata_2025 huggingface dataset:
The Use of Polyimide as a Bonding Material to Improve the Mechanical Stability, Magnetic and Acoustic Properties of the Transformer Core Based on Amorphous Steel
Authors: Nieroda Jolanta , Kmita Grzegorz , Kozupa Michal , Piela Szymon , Rybak Andrzej
Published: June 2024

The constantly evolving electrification also entails an increase in requirements for the effective and efficient distribution of electricity with the lowest possible power losses. Such needs can be met by highly effective electrical devices, and one of them is a transformer whose main component is a magnetic core. Currently, one of the soft magnetic materials used alternatively for the production of transformer cores are amorphous metal strips with competitive losses. However, to successfully use these materials, a key problem must be solved: limited mechanical stability. The presented article describes the development and application of a polyimide-based binder for efficient bonding of an amorphous metal ribbon. The layered binder was characterized using confocal microscopy, scanning electron microscopy and Raman spectroscopy, and its anticorrosion and mechanical properties were examined. As a final step, a prototype of a toroidal magnetic core bonded with the binder was manufactured and subjected to the evaluation of no-load loss and the analysis of the emitted noise. It was confirmed that the proposed polyimide binder tremendously improved the mechanical stability while reducing core losses and audible noise.
Comparative Analysis of Impact Strength among Various Polymeric Materials for Orthotic Production
Authors: Habiba Rachel , Amaro Ana , Trindade Daniela , Moura Carla , Silva Rui , Antão André , Martins Rui F. , Malça Cândida , Branco Ricardo
Published: June 2024

Orthotic devices play an important role in medical treatment, addressing various pathologies and promoting patient recovery. Customization of orthoses to fit individual patient morphologies and needs is essential for optimal functionality and patient comfort. The advent of additive manufacturing has revolutionized the biomedical field, offering advantages such as cost reduction, increased personalization, and enhanced dimensional adaptability for orthotics manufacturing. This research focuses on the impact strength of nine polymeric materials printed by additive manufacturing, including an evaluation of the materials’ performance under varying conditions comprising different printing directions (vertical and horizontal) and exposure to artificial sweat for different durations (0 days, 24 days, and 189 days). The results showed that Nylon 12 is good for short-term (24 days) immersion, with absorbed energies of 78 J and 64 J for the vertical and horizontal directions, whereas Polycarbonate (PC) is good for long-term immersion (189 days), with absorbed energies of 66 J and 78 J for the vertical and horizontal directions. Overall, the findings contribute to a better understanding of the suitability of these materials for biomedical applications, considering both short-term and long-term exposure to physiological and environmental conditions.
Preparation Method and Application of Porous Poly(lactic acid) Membranes: A Review
Authors: Zhao Jinxing , Liu Xianggui , Pu Xuelian , Shen Zetong , Xu Wenqiang , Yang Jian
Published: June 2024

Porous membrane technology has garnered significant attention in the fields of separation and biology due to its remarkable contributions to green chemistry and sustainable development. The porous membranes fabricated from polylactic acid (PLA) possess numerous advantages, including a low relative density, a high specific surface area, biodegradability, and excellent biocompatibility. As a result, they exhibit promising prospects for various applications, such as oil–water separation, tissue engineering, and drug release. This paper provides an overview of recent research advancements in the fabrication of PLA membranes using electrospinning, the breath-figure method, and the phase separation method. Firstly, the principles of each method are elucidated from the perspective of pore formation. The correlation between the relevant parameters and pore structure is discussed and summarized, subsequently followed by a comparative analysis of the advantages and limitations of each method. Subsequently, this article presents the diverse applications of porous PLA membranes in tissue engineering, oil–water separation, and other fields. The current challenges faced by these membranes, however, encompass inadequate mechanical strength, limited production efficiency, and the complexity of pore structure control. Suggestions for enhancement, as well as future prospects, are provided accordingly.
Spectroscopic Benchmarks by Machine Learning as Discriminant Analysis for Unconventional Italian Pictorialism Photography
Authors: Scatigno Claudia , Teodonio Lorenzo , Di Rocco Eugenia , Festa Giulia
Published: June 2024

Up to the 1930s, the Italian pictorialism movement dominated photography, and many handcrafted procedures started appearing. Each operator had his own working method and his own secrets to create special effects that moved away from the standard processes. Here, a methodology that combines X-ray fluorescence and infrared analysis spectroscopy with unsupervised learning techniques was developed on an unconventional Italian photographic print collection (the Piero Vanni Collection, 1889–1939) to unveil the artistic technique by the extraction of spectroscopic benchmarks. The methodology allowed the distinction of hidden elements, such as iodine and manganese in silver halide printing, or highlighted slight differences in the same printing technique and unveiled the stylistic practice. Spectroscopic benchmarks were extracted to identify the elemental and molecular fingerprint layers, as the oil-based prints were obscured by the proteinaceous binder. It was identified that the pigments used were silicates or iron oxide introduced into the solution or that they retraced the practice of reusing materials to produce completely different printing techniques. In general, four main groups were extracted, in this way recreating the ‘artistic palette’ of the unconventional photography of the artist. The four groups were the following: (1) Cr, Fe, K, potassium dichromate, and gum arabic bands characterized the dichromate salts; (2) Ag, Ba, Sr, Mn, Fe, S, Ba, gelatin, and albumen characterized the silver halide emulsions on the baryta layer; (3) the carbon prints were benchmarked by K, Cr, dichromate salts, and pigmented gelatin; and (4) the heterogeneous class of bromoil prints was characterized by Ba, Fe, Cr, Ca, K, Ag, Si, dichromate salts, and iron-based pigments. Some exceptions were found, such as the baryta layer being divided into gum bichromate groups or the use of albumen in silver particles suspended in gelatin, to underline the unconventional photography at the end of the 10th century.
Thermal Degradation Kinetics of Natural Fibers: Determination of the Kinetic Triplet and Lifetime Prediction
Authors: Ornaghi Heitor Luiz , Faccio Maíra , Soares Márcio Ronaldo Farias
Published: June 2024

Natural fibers have been widely employed in different fields as composite materials. However, the thermal behavior of natural materials is not fully understood since the chemical components chemically interact with each other. Put simply, the thermal degradation kinetics of natural fibers are of crucial importance in the academic and industrial fields. This study objectively fully investigated the thermal behavior of different natural fibers using the thermal kinetic method criteria, as described by the ICTAC (International Committee of Thermal Analysis and Calorimetry). The kinetic triplet (activation energy, pre-exponential factor, and reaction mechanism) was determined as a function of the conversion degree. For all plant fibers, the results indicated an autocatalytic process with an average activation energy and pre-exponential factor of 200 kJ·mol−1 and 40 s−1, respectively. The activation energy can be mainly attributed to the cellulose component, while the pre-exponential factor is due to the possible compensation effect as a mathematical artifact of the Arrhenius-based equation. Finally, the lifetime prediction of the plant fibers was estimated using the pre-determined kinetic triplet parameters to estimate the plant fiber stability under isothermal conditions.
Functional Agarose Hydrogels Obtained by Employing Homogeneous Synthesis Strategies
Authors: Gericke Martin , Witzler Markus , Enkelmann Astrid , Schneider Gerlind , Schulze Margit , Heinze Thomas
Published: June 2024

The goal of this study was to explore a route for introducing functionalities into agarose-based hydrogels to tune the physical, chemical, and biological properties. Several agarose derivatives were prepared by homogeneous synthesis, including anionic agarose sulfates (ASs), reactive azido agaroses (AZAs), and cationic agarose carbamates (ACs), as well as agarose tosylates (ATOSs) and agarose phenyl carbonates (APhCs). The products were characterized in terms of their molecular structure and solubility behavior. The results suggest that the native gel-forming ability of agarose is retained if the introduced functionalities are hydrophilic, and the overall degree of substitution is low (DS < 0.5). Thus, functional hydrogels from several agarose derivatives could be obtained. The mechanical stability of the functional hydrogels was decreased compared to native agarose gels but was still in a range that enables safe handling. An increase in mechanical strength could be achieved by blending functional agarose derivatives and agarose into composite hydrogels. Finally, it was demonstrated that the novel functional agarose hydrogels are biocompatible and can potentially stimulate interactions with cells and tissue.
Effect of Microscopic Properties on Flow Behavior of Industrial Cohesive Powder
Authors: Manokaran Maheandar , Morgeneyer Martin , Weis Dominik
Published: June 2024

The characteristics of powders on a bulk scale are heavily influenced by both the material properties and the size of their primary particles. Throughout the stages of storage and transportation in the powder processing industry, various forms of deformation and stress, such as pressure and shear, impact these materials. Recognizing the point at which a powder undergoes yielding becomes particularly significant in numerous applications. There are also times when the level of stress needed to maintain it must be understood. The measurement of powder yield and flow properties remains a challenge and is addressed in this study. As part of the European collaborative project, a number of shear experiments were performed using two shearing devices: the Schulze ring shearing device and the Anton Paar Powder Cell (APCC). These experiments have three purposes: (i) test reproducibility/consistency between two shear devices and test protocols; (ii) relate bulk behavior to microscopic particle properties, focusing on bulk density and thus the effect of cohesion between particles; and (iii) investigate the influence of the temperature of heated powders on the powder’s flow properties, which is important for industrial reactors. Interestingly, for samples with small particle sizes, bulk cohesion increases slightly, but bulk friction increases significantly because of particle interaction effects. The experimental data not only provide useful insight into the role of microscopically attractive van der Waals gravitational and/or compressive forces on the macroscopic flow behavior of bulk powders but also have industrial relevance. We also provide robust data of cohesive and attritional fine powder for silo design used for calibration and validation of silos, models, and computer simulations.
Language-Level Semantics-Conditioned 3D Point Cloud Segmentation
Authors: Liu Bo , Zeng Hui , Dong Qiulei , Hu Zhanyi
Published: June 2024

In this work, a language-level Semantics-Conditioned framework for 3D Point cloud segmentation, called SeCondPoint, is proposed, where language-level semantics are introduced to condition the modeling of the point feature distribution, as well as the pseudo-feature generation, and a feature–geometry-based Mixup approach is further proposed to facilitate the distribution learning. Since a large number of point features could be generated from the learned distribution thanks to the semantics-conditioned modeling, any existing segmentation network could be embedded into the proposed framework to boost its performance. In addition, the proposed framework has the inherent advantage of dealing with novel classes, which seems an impossible feat for the current segmentation networks. Extensive experimental results on two public datasets demonstrate that three typical segmentation networks could achieve significant improvements over their original performances after enhancement by the proposed framework in the conventional 3D segmentation task. Two benchmarks are also introduced for a newly introduced zero-shot 3D segmentation task, and the results also validate the proposed framework.
Research into Prediction Method for Pressure Pulsations in a Centrifugal Pump Based on Variational Mode Decomposition–Particle Swarm Optimization and Hybrid Deep Learning Models
Authors: Lu Jiaxing , Zhou Yuzhuo , Ge Yanlong , Liu Jiahong , Zhang Chuan
Published: June 2024

Centrifugal pump pressure pulsation contains various signals in different frequency domains, which interact and superimpose on each other, resulting in characteristics such as intermittency, non-stationarity, and complexity. Computational Fluid Dynamics (CFD) and traditional time series models are unable to handle nonlinear and non-smooth problems, resulting in low accuracy in the prediction of pressure fluctuations. Therefore, this study proposes a new method for predicting pressure fluctuations. The pressure pulsation signals at the inlet of the centrifugal pump are processed using Variational Mode Decomposition–Particle Swarm Optimization (VMD-PSO), and the signal is predicted by Convolutional Neural Networks–Long Short-Term Memory (CNN-LSTM) model. The results indicate that the proposed prediction model combining VMD-PSO with four neural networks outperforms the single neural network prediction model in terms of prediction accuracy. Relatively high accuracy is achieved by the VMD-PSO-CNN-LSTM model for multiple forward prediction steps, particularly for a forward prediction step of 1 (Pre = 1), with a root mean square error of 0.03145 and an average absolute percentage error of 1.007%. This study provides a scientific basis for the intelligent operation of centrifugal pumps.
Wearable ECG Device and Machine Learning for Heart Monitoring
Authors: Alimbayeva Zhadyra , Alimbayev Chingiz , Ozhikenov Kassymbek , Bayanbay Nurlan , Ozhikenova Aiman
Published: June 2024

With cardiovascular diseases (CVD) remaining a leading cause of mortality, wearable devices for monitoring cardiac activity have gained significant, renewed interest among the medical community. This paper introduces an innovative ECG monitoring system based on a single-lead ECG machine, enhanced using machine learning methods. The system only processes and analyzes ECG data, but it can also be used to predict potential heart disease at an early stage. The wearable device was built on the ADS1298 and a microcontroller STM32L151xD. A server module based on the architecture style of the REST API was designed to facilitate interaction with the web-based segment of the system. The module is responsible for receiving data in real time from the microcontroller and delivering this data to the web-based segment of the module. Algorithms for analyzing ECG signals have been developed, including band filter artifact removal, K-means clustering for signal segmentation, and PQRST analysis. Machine learning methods, such as isolation forests, have been employed for ECG anomaly detection. Moreover, a comparative analysis with various machine learning methods, including logistic regression, random forest, SVM, XGBoost, decision forest, and CNNs, was conducted to predict the incidence of cardiovascular diseases. Convoluted neural networks (CNN) showed an accuracy of 0.926, proving their high effectiveness for ECG data processing.
Research on In-Plane Thermal Conductivity Detection of Fuel Cell Bipolar Plates Based on Laser Thermography
Authors: Li Yang , Hou Dexin , Li Feng , Huang Lianghui , Huang Zhihua , Zhang Yuehuan , Zheng Yongping , Song Leipeng , Huang Bingqiang , Fei Zhengshun , Xiang Xinjian
Published: June 2024

The thermal properties of bipolar plates, being key elements of polymer electrolyte membrane fuel cells, significantly affect their heat conduction and management. This study employed an innovative approach known as a heat flow loop integral method to experimentally assess the in-plane thermal conductivity of graphite bipolar plates, addressing the constraints of traditional methods that have strict demands for thermal stimulation, boundary or initial conditions, and sample size. This method employs infrared thermal imaging to gather information from the surface temperature field of the sample, which is induced by laser stimulation. An enclosed test loop on the infrared image of the sample’s surface, situated between the heat source and the sample’s boundary, is utilized to calculate the in-plane heat flow density by integrating the temperature at the sampling locations on the loop and the in-plane thermal conductivity can be determined based on Fourier’s law of heat conduction. The numerical simulation analysis of the graphite models and the experimental tests with aluminum have confirmed the precision and practicality of this method. The results of 1060 aluminum and 6061 aluminum samples, each 1 and 2 mm in thickness, show a deviation between the reference and actual measurements of the in-plane thermal conductivity within 4.3% and repeatability within 2.7%. Using the loop integral method, the in-plane thermal conductivities of three graphite bipolar plates with thicknesses of 0.5 mm, 1 mm, and 1.5 mm were tested, resulting in 311.98 W(m·K)−1, 314.41 W(m·K)−1, and 323.48 W(m·K)−1, with repeatabilities of 0.9%, 3.0%, and 2.0%, respectively. A comparison with the reference value from the simulation model for graphite bipolar plates with the same thickness showed a deviation of 4.7%. The test results for three different thicknesses of graphite bipolar plates show a repeatability of 2.6%, indicating the high consistency and reliability of this measurement method. Consequently, as a supplement to existing technology, this method can achieve a rapid and nondestructive measurement of materials such as graphite bipolar plates’ in-plane thermal conductivity.
Low-Power Wireless Sensor Module for Machine Learning-Based Continuous Monitoring of Nuclear Power Plants
Authors: Lee Jae-Cheol , Choi You-Rak , Yeo Doyeob , Moon Sangook
Published: June 2024

This paper introduces the novel design and implementation of a low-power wireless monitoring system designed for nuclear power plants, aiming to enhance safety and operational efficiency. By utilizing advanced signal-processing techniques and energy-efficient technologies, the system supports real-time, continuous monitoring without the need for frequent battery replacements. This addresses the high costs and risks associated with traditional wired monitoring methods. The system focuses on acoustic and ultrasonic analysis, capturing sound using microphones and processing these signals through heterodyne frequency conversion for effective signal management, accommodating low-power consumption through down-conversion. Integrated with edge computing, the system processes data locally at the sensor level, optimizing response times to anomalies and reducing network load. Practical implementation shows significant reductions in maintenance overheads and environmental impact, thereby enhancing the reliability and safety of nuclear power plant operations. The study also sets the groundwork for future integration of sophisticated machine learning algorithms to advance predictive maintenance capabilities in nuclear energy management.
Multiple Sclerosis: Immune Cells, Histopathology, and Therapeutics
Authors: Patil Manisha S. , Lin Linda Y. , Marsh-Wakefield Felix , James Elizaveta J. , Palendira Mainthan , Hawke Simon , Grau Georges E.
Published: June 2024

Multiple sclerosis (MS) is an inflammatory demyelinating disease affecting the central nervous system (CNS). In MS, oligodendrocytes and myelin that surround axons to facilitate transmission of neuronal signals are destroyed by adaptive and innate immune cells, resulting in the formation of demyelinating plaques. For many years, research into MS pathophysiology has identified immune cell populations in lesions such as T cells, B cells, and myeloid and innate lymphoid cells. In this review, we discuss the involvement of these immune cells in MS pathophysiology and demonstrate how findings from histopathology studies and single-cell analyses in animal and human models have identified which immune cell subsets contribute to disease. This knowledge has facilitated the introduction of numerous immune-targeted therapeutics towards CD20, CD52, interferon-beta, sphingosine-1-phosphate receptor, Bruton’s tyrosine kinase, and many more. These treatments have shown effective reduction in new lesion formation and management of symptoms in MS patients. Furthermore, as MS is a chronic disease, these therapeutics slow disease progression, reduce cognitive disabilities, and prevent relapses. Further research is required to develop a cure for MS with limited side effects. The ongoing research that utilises innovative methods to identify and assess MS pathophysiology could transform the treatment landscape for patients in the future.
Research on the Influence of the Scaling-up Process on the Flow Structure and Two-Phase Distribution of Gas–Solid Fluidized Beds
Authors: Gao Zhonglin , Wei Jie , Wang Hongyang , Zhou Chenyang
Published: June 2024

In the continuous scaling-up process of the separating system, a mechanism exists that transforms the behavior of the flow field, resulting in deviations from the original model and conclusions. The paper examined the effects of the scale up of a fluidized bed by CFD. It was observed that increasing the diameter reduces the amplitude of axial density fluctuations. Similarly, increasing the static height increases the amplitude. Moreover, increasing the static bed height enhances the visibility of the cyclic flow structure of gas and solid phases. The flow structure in large bed diameters is disrupted. The impact of changing the bed diameter on bed density is more significant than the static height. As the bed diameter increases, the bubble disturbance decreases and the aggregation phase gradually disappears while the proportion of the emulsified phase keeps increasing. This study will guide and assist in the future application of separated fluidized beds in industry.
Comparative Analysis of Stakeholder Integration in Education Policy Making: Case Studies of Singapore and Finland
Authors: Al-Thani Ghalia
Published: June 2024

This paper analyzes stakeholder engagement in educational policymaking in Singapore and Finland, two countries renowned for successful education systems. While both countries achieve high academic standards, they employ distinct approaches to engage stakeholders in shaping educational policies. Singapore adopts a centralized model where policymaking is primarily directed by the Ministry of Education (MOE), with limited participation from external stakeholders. In contrast, Finland adopts a decentralized approach, empowering local authorities and schools with significant autonomy and actively involving stakeholders in policymaking. Key stakeholders, including teachers, parents, students and the private sector, play different roles in each country’s education governance. In Singapore, stakeholders are consulted through formal channels but have limited influence on decision-making, whereas, in Finland, stakeholders actively steer fundamental policy directions through extensive participation and consensus-building. The paper highlights the strengths and weaknesses of each approach and their impacts on education outcomes. Despite differences in governance models, both countries prioritize inclusive education, social cohesion, and holistic development. The analysis underscores the importance of meaningful stakeholder engagement in crafting effective education policies that align with national values and visions.
In-Depth Review of YOLOv1 to YOLOv10 Variants for Enhanced Photovoltaic Defect Detection
Authors: Hussain Muhammad , Khanam Rahima
Published: June 2024

This review presents an investigation into the incremental advancements in the YOLO (You Only Look Once) architecture and its derivatives, with a specific focus on their pivotal contributions to improving quality inspection within the photovoltaic (PV) domain. YOLO’s single-stage approach to object detection has made it a preferred option due to its efficiency. The review unearths key drivers of success in each variant, from path aggregation networks to generalised efficient layer aggregation architectures and programmable gradient information, presented in the latest variant, YOLOv10, released in May 2024. Looking ahead, the review predicts a significant trend in future research, indicating a shift toward refining YOLO variants to tackle a wider array of PV fault scenarios. While current discussions mainly centre on micro-crack detection, there is an acknowledged opportunity for expansion. Researchers are expected to delve deeper into attention mechanisms within the YOLO architecture, recognising their potential to greatly enhance detection capabilities, particularly for subtle and intricate faults.
Accelerating CO2 Storage Site Characterization through a New Understanding of Favorable Formation Properties and the Impact of Core-Scale Heterogeneities
Authors: Iloejesi Chidera O. , Beattie Will , O’Donnell Frances C. , Beckingham Lauren E.
Published: June 2024

CO2 sequestration in deep geologic formations can permanently reduce atmospheric CO2 emissions and help to abate climate change. Target formations must undergo a time- and resource-intensive site evaluation process, assessing storage capacity, environmental safety, and suitability for CO2 trapping via reactive transport models based on data from a limited number of core samples. As such, simulations are often simplified and omit heterogeneities in formation properties that may be significant but are not well understood. To facilitate more rapid site assessment, this work first defines the aquifer properties of favorable storage formations through the analysis of promising and active storage sites. Data show quartz is the most prevalent formation mineral with carbonate minerals, highly reactive with injected CO2, present in over 75% of formations. Porosity and permeability data are highly clustered at 10–30% and 10–1000 mD. Field-scale reactive transport simulations are then constructed and used to analyze CO2 trapping efficiency. The models consider porosity and carbonate mineral heterogeneity as well as the impacts of typical temperature gradients. Simulated sequestration efficiencies are compared to results from a comparable homogenous model to understand the implications of aquifer non-uniformities. The results show a lower sequestration efficiency in the homogeneous model during the injection phase. During the post-injection phase, the homogenization of porosity and carbonate mineralogy results in a higher sequestration efficiency. Incorporating the temperature gradient also increases the sequestration efficiency. Importantly, the maximum deviation between the homogeneous and heterogeneous simulations at the end of the 50-year study period is only ~10%. Larger impacts may be incurred for properties outside the defined, promising ranges suggested here.
Investigating Effects of Digital Innovations on Sustainable Operations of Logistics: An Empirical Study
Authors: Saqib Zulkaif Ahmed , Qin Luo
Published: June 2024

The current investigation seeks to investigate the relationship between digital innovations and the sustainability perspectives of logistics operations. Despite the advancement of technologies for sustainable goals, it is evident that the importance of digital innovation is increasing as a means of enhancing sustainable operations. Current research is examining the determinants of digital innovation in small logistics firms. A new theoretical framework is developed based on technology adoption, technology integration, and sustainable operations by following the diffusion of innovation (DOI) theory. For this study, data were collected from 540 small logistical firms in China. The covariance-based structural equation modeling technique was used to test the proposed hypothesis. The results from the analysis indicate that technology adoption positively affects the environmental perspectives with coefficients = 0.293, social perspectives with coefficients = 0.461, and economical perspectives with coefficients = 0.461 of sustainable operations. Similarly, technology integration positively affects the environmental perspectives with coefficients = 0.512, social perspectives with coefficients = 0.347, and economical perspectives with coefficients = 0.415 of sustainable operations. In conclusion, the implementation of digital technology for innovation can help firms improve their logistical operations in terms of sustainability, which will deliver a robust business improvement according to this research.
Can Social Learning Promote Farmers’ Green Breeding Behavior? Regulatory Effect Based on Environmental Regulation
Authors: Wang Menghan , Zhu Yingyu , Liu Shuyao , Zhang Yan , Dai Xingmei
Published: June 2024

Farmers’ green breeding behavior is significant to environmental protection and sustainable development. Based on the micro-survey data of 1248 beef cattle farmers in Inner Mongolia Autonomous Region and Jilin Province, the OLS model and regulatory effect tests are used to analyze the influence of social learning on farmers’ green breeding behavior and to verify the mechanism of environmental regulation. Key findings include the following: (1) Social learning has a significant positive impact on farmers’ green breeding behavior. (2) Social learning has a significant positive impact on farmers’ willingness to undertake green breeding, farmers’ specific behavior of green breeding, and farmers’ continuous green breeding, among which the effect on specific behavior of green breeding is the most positive. (3) Environmental regulation plays a moderating role in the relationship between social learning and farmers’ green breeding behavior, among which all sub-dimensions of environmental regulation (incentive-based environmental regulation, binding environmental regulation and guided environmental regulation) have positive reinforcing effects, especially the most significant reinforcement effect of binding environmental regulation. Based on the research conclusions, this study proposes policy suggestions such as strengthening the training of farmers, strengthening the learning and communication among farmers’ neighbors, increasing the frequency of farmers’ use of mass media, improving the environmental regulation policy system, and promoting the coordinated development of environmental, economic, and social benefits.
Can Low-Carbon City Pilot Policy Promote Regional Green High-Quality Development?
Authors: Zeng Chao , Jiang Shanying , Zhou Fengxiu
Published: June 2024

Studying the implementation benefits of low-carbon city pilot policies in fostering green, high-quality development is critical for China’s carbon peaking and neutrality targets. This research examines the effect of urban low-carbon governance on green, high-quality development using a multi-temporal DID model and panel data from 281 prefecture-level cities in China from 2007 to 2020. The findings are as follows: (1) low-carbon city pilot policy can considerably enhance green high-quality development in pilot cities; (2) mechanism tests reveal that fintech and urban innovation moderate the role of power support and wisdom empowerment in the successful promotion of low-carbon cities to achieve green high-quality development in pilot areas; (3) the policy effect becomes more significant as fintech and urban innovation cross the threshold value; (4) heterogeneity analysis shows that low-carbon city pilot policy is more conducive to green high-quality development in eastern regions, financially developed cities, and non-resource-based cities. The conclusions drawn from this paper offer valuable guidance for China’s adoption of appropriate environmental policy designs aimed at attaining high-quality green development.
Preserving Postharvest Quality of Medjool Date Palm Fruits by Edible Oil Emulsions Application
Authors: Alotaibi Mashael M. , Alsubeie Moodi S. , Almuziny Makhdora , Alghamdi Sameera A. , M. Alzuaibr Fahad , Alasmari Abdulrahman , Albalawi Bedur Faleh , Ismail Khadiga Ahmed , Khalifa Sobhy M. , Dawood Ahmed S. , Shahda Mohamed A. , Ahmed Adel F. , Awad-Allah Mamdouh M. A.
Published: June 2024

Edible oils work to protect the fruit in more than one way. They act as a barrier or insulating layer that prevents moisture loss from the fruits, prevents the development of microbes on the surface, prevents chemical changes in the fruits, and prevents the deterioration of the fruits. These functions work to improve the quality of the fruits and increase the shelf life of the fruits. Medjool date palm fruits experience post-harvest difficulties such as weight loss, reduced taste, microbial contamination, and general quality degradation during storage, particularly at room temperature. Essential oils with antibacterial, antifungal, and antioxidant qualities, such as jasmine oil, black cumin oil, and jojoba oil, have demonstrated significant promise for improving fruit storability and quality. The purpose of this study is to investigate the effects of treatment with edible coating with jasmine oil, black cumin oil, and jojoba oil of Medjool date palm fruits under room storage conditions to lengthen shelf life, preserve quality, and reduce refrigeration during the seasons of 2021 and 2022. The study treatments were jasmine oil 1.5%, black cumin oil 1.5%, jojoba oil 7%, and untreated fruits as a control. Data showed that treatment with edible coating with jojoba oil reduced Medjool date palm fruit decay percentages and weight loss, delayed skin separation, and improved chemical fruit properties such as total sugar and total soluble solids (TSS%), followed by black cumin oil and then jasmine oil. The results showed that using jasmine oil, black cumin oil, or jojoba oil as a layer of essential oils provides a realistic option to enhance storability, extend shelf life, maintain quality, and reduce refrigeration in Medjool date palm fruits.
Bacterial Infections in End-Stage Liver Disease: Implications for Liver Transplantation
Authors: Ferrarese Alberto , Senzolo Marco , Cattelan Anna Maria , Sasset Lolita , Battistella Sara , Zanetto Alberto , Germani Giacomo , Russo Francesco Paolo , Gambato Martina , Pelizzaro Filippo , Vio Stefania , Bassi Domenico , Cillo Umberto , Burra Patrizia
Published: June 2024

Bacterial infections are a common complication in patients with decompensated liver cirrhosis. The complex landscape of cirrhosis, characterized by immune paralysis and an exhausted response to exogenous triggers, explains the higher prevalence of such infections, particularly in advanced disease stages. In clinical practice, the onset of a bacterial infection can lead to further deterioration of hepatic and extra-hepatic function, potentially resulting in acute decompensation or acute-on-chronic liver failure. This has significant clinical implications, particularly for patients awaiting a transplant. In this review, we will discuss the latest evidence on the diagnosis and therapy of bacterial infections in patients with decompensated cirrhosis. Additionally, we will analyze the impact of bacterial infections in the context of liver transplantation, discussing debated topics such as the timing of transplantation in patients with infections, potential implications for prioritization, effects on post-operative recovery, grafts, and patient survival.
Lifting Actuator Concept and Design Method for Modular Vehicles with Autonomous Capsule Changing Capabilities
Authors: Weitz Fabian , Ostendorff Niklas Leonard , Frey Michael , Gauterin Frank
Published: June 2024

Novel vehicle concepts are needed to meet the requirements of resource-conserving and efficient mobility in the future, especially in urban areas. In the automated, driverless electric vehicle concept U-Shift, a new form of mobility is created by separating a vehicle into a drive module and a transport capsule. The autonomous driving module, the so-called Driveboard, is able to change the transport capsules independently and is therefore used to transport both people and goods. The wide range of possible capsules poses major challenges for the development of the Driveboard and the chassis in particular. A lifting actuator integrated into the chassis concept enables levelling and, thus, the raising and lowering of the Driveboard and the capsules to ground level. This means that no additional lifting devices are required for changing the capsules or for lowering them to the ground, e.g., for loading and unloading the capsules. To realise this mechanism simply and efficiently, a fully electromechanical actuator is designed and constructed. The actuator consists primarily of a profile rail guide, a steel cable winch, an electric motor, a housing that connects the subsystems and a locking mechanism. The electric motor is used to lift the vehicle and regulate the weight force-driven lowering of the vehicle. This paper describes the design of the actuator and shows the dimensioning of all main components according to the boundary conditions. Finally, the prototype model of the realised concept is presented.
Impact of Chlorella vulgaris Intake Levels on Performance Parameters and Blood Health Markers in Broiler Chickens
Authors: Mendes Ana R. , Spínola Maria P. , Lordelo Madalena , Prates José A. M.
Published: June 2024

This systematic review examines the effects of cumulative Chlorella vulgaris intake levels on broiler chickens, focusing on growth performance and systemic health markers. The review establishes a clear relationship between cumulative C. vulgaris intake and significant outcomes in poultry nutrition and health through a detailed analysis of various studies. The correlation analysis revealed that cumulative C. vulgaris intake levels ranging from 0.8 to 718 g/bird influenced growth rates and feed efficiency, following sigmoid models. Specifically, intakes of approximately 20 g/bird maximized final body weight (R2 = 0.616, p < 0.001), cumulative body weight gain (R2 = 0.627, p < 0.001) and daily weight gain (R2 = 0.639, p < 0.001). The feed conversion ratio also improved with increasing C. vulgaris intakes up to this level, although this was non-significant (R2 = 0.289, p = 0.117). In addition, similar cumulative C. vulgaris intake levels impacted plasma health markers in broilers, leading to reductions in triacylglycerols and cholesterol and improvements in immunoglobulin levels. These findings underscore the importance of carefully calibrated C. vulgaris supplementation strategies to optimise poultry growth and health without adverse effects. Future research should focus on refining C. vulgaris dosing guidelines and further exploring its long-term effects and mechanisms of action to enhance poultry health and production sustainability.
Removal of Glyphosate with Nanocellulose for Decontamination Purposes in Aquatic Systems
Authors: Lessa Suzan da Silva , Orsi Blenda Lopes , Oliveira Luciana Camargo de , Botero Wander Gustavo , Tonello Paulo Sergio , Goveia Danielle
Published: June 2024

(1) The excessive and incorrect use of agricultural pesticides has caused environmental pollution, with a final destination in aquatic environments. Among the widely used agricultural pesticides, glyphosate stands out for weed control, which according to the World Health Organization (WHO) is potentially carcinogenic in humans. Once in an aquatic environment, decontamination aimed at removing the pesticide is not always a simple task. In this sense, it is necessary to develop low-cost, sustainable procedures with a high remediation capacity. (2) In this context, a nanocellulose-based biopolymer was developed to removal glyphosate from aquatic environments. Nanocellulose was obtained from a cellulose sample from eucalyptus wood and was characterized by scanning and double-beam electron microscopy, scanning microscopy with an energy dispersive detector and Fourier transform infrared (FTIR) spectroscopy. Adsorption studies were carried out to evaluate the retention of glyphosate by nanocellulose. (3) Nanocellulose showed a value of 4.7 mg of glyphosate per gram of nanocellulose, and organomodified nanocellulose showed the removal of 6.1 mg of glyphosate per gram of nanocellulose, as evaluated in pseudo-first-order kinetic models. (4) The biomaterial has a sustainable and renewable origin, has potential for contaminant removal and can be applied to contaminated aquatic systems.
REDES INTERSETORIAIS DE ATENDIMENTO
Authors: Ferreira Palloma Rosa , Sousa Diego Neves de
Published: June 2024

O presente trabalho objetivou analisar o que tem sido apresentado nos artigos sobre redes intersetoriais de atendimento. Para isso, realizou-se um estado da arte, abrangendo o período de 2008 a 2018 e utilizando bases de dados como Capes e Oasis. Os descritores usados foram "rede intersetorial", "rede de assistência", "rede de atendimento" e "rede de serviços". A pesquisa se concentrou em redes formadas por organizações governamentais e não governamentais que oferecem serviços variados à população, com foco em artigos de periódicos. Após a triagem, 28 artigos foram selecionados para análise. Utilizou-se o software Iramuteq para examinar os resumos e conclusões dos artigos, identificando as principais temáticas, autores mais citados, periódicos de destaque, métodos predominantes e áreas de pesquisa. Os resultados indicaram desafios na comunicação e coordenação entre as organizações que compõem as redes intersetoriais, levando à fragmentação dos serviços e impedindo a oferta de assistência integral ao público-alvo. A falta de capacitação em temas relacionados a redes também se mostrou como um obstáculo ao pleno funcionamento dessas estruturas. Em resumo, os artigos analisados destacam a importância de superar as barreiras existentes para melhorar a eficácia das redes intersetoriais de atendimento.
A BUSCA PELO RECONHECIMENTO DA IMPORTÂNCIA DO APADRINHAMENTO AFETIVO, A DIMENSÃO REVOLUCIONÁRIA DOS VÍNCULOS E OS CUIDADOS À SUA EXECUÇÃO
Authors: Péterle dos Santos Jamila , De Souza Ismael Francisco
Published: June 2024

O objetivo do artigo é estudar e analisar o impedimento à participação de pessoas inscritas nos cadastros de adoção em programas de apadrinhamento, sob o enfoque da importância do estabelecimento de vínculos afetivos e o melhor interesse das crianças e adolescentes em situação de acolhimento. Por meio do método dedutivo e de uma metodologia de pesquisa teórica, com a utilização de material bibliográfico e documentos legais, inicialmente aborda-se acerca do instituto jurídico do apadrinhamento, elencando seu conceito e principais objetivos. Na sequência, explana-se sobre os fundamentos que permeiam a concepção do apadrinhamento, sob a ótica da proteção da criança e do adolescente. Por último, este artigo faz reflexões acerca da restrição aos inscritos nos cadastros de adoção para a participação dos programas de apadrinhamento. Neste ponto, elenca alguns caminhos e critérios a serem estabelecidos para efetivar a garantia e proteção dos direitos dessa população vulnerabilizada. Em linhas gerais, conclui-se que o apadrinhamento afetivo muitas vezes é definido por sua relação com a adoção e com a família de origem de forma negativa. Isso ocorre porque é concebido como uma alternativa que preenche o espaço entre essas duas formas de pertencimento, ambas consideradas como projetos desenvolvidos em comparação ao acolhimento institucional. Todavia, se aplicado de maneira individual e cuidadosa, o apadrinhamento pode ser uma forma eficaz de estabelecer vínculos significativos e resultados que não se baseiam na relação de filiação tradicional, mas que ainda são capazes de proporcionar um ambiente familiar e comunitário para as crianças e adolescentes envolvidos.
VIOLÊNCIA CONTRA AS MULHERES NA PROVÍNCIA DE SOFALA, EM MOÇAMBIQUE (2014-2021)
Authors: Labiak Fernanda Pereira , Cruz Roberto Moraes , Onofre Adelino Domingos , Lacerda Maria do Carmo De Lima Silva , Guilland Romilda , Vieira Jennifer Elizabeth
Published: June 2024

Este estudo tem como objetivo analisar a violência de gênero contra as mulheres na província de Sofala, em Moçambique, no período de 2014 a 2021. Para tanto, foi realizada uma pesquisa descritiva, de caráter quantitativo, com base em dados advindos de boletins de ocorrência disponibilizados pelo Departamento de Atendimento à Família e Menor Vítimas de Violência do Comando Provincial da Polícia da República de Moçambique. Os dados foram organizados por tipos de violências (violência física simples e grave, violência psicológica, violência moral, violência social, cópula não consentida e cópula com transmissão de doença), conforme a Lei moçambicana nº 29/2009, e sua distribuição por anos (2014 - 2021). Os resultados apontaram que, dos 10.203 casos de violências registrados com homens e mulheres, ao longo do período investigado, 81,21% ocorreram com mulheres. Observou-se que, mesmo diante da subnotificação de registros, as mulheres foram 4,32 vezes mais acometidas de violência do que os homens. Os dados analisados referentes a notificação de violências contra as mulheres em Sofala são escassos e não refletem o cotidiano de práticas de abuso e discriminatórias que ferem os direitos à vida, à liberdade e à dignidade das mulheres.
UMA REVISÃO SISTEMÁTICA DOS BENEFÍCIOS DA GAMIFICAÇÃO NO ENSINO BÁSICO
Authors: Moreno Douglas Aquino , Araújo Gustavo Cunha de , Gomes Jayanne Xavier
Published: June 2024

Este artigo apresenta uma Revisão Sistemática da Literatura que explora os benefícios e técnicas de gamificação aplicáveis ao ensino básico. A pesquisa abrangeu estudos publicados entre os anos de 2015 e 2022, com o objetivo de analisar o impacto da gamificação no engajamento e na aprendizagem de alunos do ensino básico, além de destacar técnicas que podem ser adotadas por escolas e professores. A metodologia de Revisão Sistemática da Literatura utilizada neste trabalho foi adaptada Sousa e Melo (2021). Foram selecionados 26 artigos por meio dessa metodologia, dos quais 13 foram analisados para responder às questões norteadoras da pesquisa. As conclusões indicam que a gamificação é eficaz para despertar a motivação dos alunos e combater a dispersão em sala de aula.