bluuebunny/crossref_metadata_2025 huggingface dataset:
On the Nearshore Significant Wave Height Inversion from Video Images Based on Deep Learning
Authors: Xu Chao , Li Rui , Hu Wei , Ren Peng , Song Yanchen , Tian Haoqiang , Wang Zhiyong , Xu Weizhen , Liu Yuning
Published: November 2024

Accurate observation of nearshore waves is crucial for coastal safety. In this study, the feasibility of extracting wave information from wave video images captured by shore-based cameras using deep learning methods was explored, focusing on inverting nearshore significant wave height (SWH) from instantaneous wave video images. The accuracy of deep learning models in classifying wind wave and swell wave images was investigated, providing reliable classification results for SWH inversion research. A classification network named ResNet-SW for wave types with improved ResNet was proposed. On this basis, the impact of instantaneous wave images, meteorological factors, and oceanographic factors on SWH inversion was evaluated, and an inversion network named Inversion-Net for SWH that integrates multiple factors was proposed. The inversion performance was significantly enhanced by the specialized models for wind wave and swell. Additionally, the inversion accuracy and stability were further enhanced by improving the loss function of Inversion-Net. Ultimately, time series inversion results were synthesized from the outputs of multiple models; the final inversion results yielded a mean absolute error of 0.04 m and a mean absolute percentage error of 8.52%. Despite certain limitations, this method can still serve as a useful alternative for wave observation.
Case Study of Central Outlet Cap Used in Flow-Through Aquaculture Systems by Using Computational Fluid Dynamics
Authors: Lee Jongjae , Doh Jaehyeok , Lim Kihoon , Kwon Inyeong , Kim Taeho , Kim Sanghoon
Published: November 2024

The consumption of aquaculture products and, in turn, the importance of the aquaculture industry are increasing with the depletion of global fishery resources. In the flow-through aquaculture systems used in Korea, olive flounders are overcrowded near the central outlet, causing stress, and the sharp central outlet hole injures the olive flounders. Therefore, in this study, we propose a central outlet cap that can prevent overcrowding and injuries in olive flounders near the central outlet in a flow-through aquaculture system. An L27(35) orthogonal array was constructed using five central outlet cap design variables, and computational fluid dynamics (CFD) analysis was performed for each experimental point. The pressure drop between the tank inlet and the central outlet was evaluated, and the experimental point with the highest pressure drop was identified. In addition, the internal fluid velocity of the experimental point with the highest pressure drop value was confirmed to be improved compared to the initial flow-through aquaculture system. The central outlet cap designed in this study is expected to be economically beneficial to aquaculture by reducing the overcrowding of olive flounder and preventing injury to olive flounder while improving the internal fluid velocity.
Patterns of Temperature and Water Level in a Small Mesotidal Estuary: The Case of Ria de Alvor (Portugal)
Authors: Novo Rita , Vaz Nuno , Bartolomeu Sofia , Picado Ana , Dias João Miguel , Leitão Paulo Chambel
Published: November 2024

Simulating present status and future changes in water level and water temperature in estuaries is important for the advancement of knowledge and decision-making on subjects such as estuarine dynamics and human activities since these variables impact biochemical variables (e.g., oxygen and pH), fish growth, and disease occurrence. Numerical models such as MOHID—Water Modeling System can be used to predict water temperature and water levels under different force conditions. This study evaluates the effects of sea level rise (SLR), air temperatures, and freshwater discharge on water levels and water temperature in the Ria de Alvor under present and future variations. The results show a significant impact of SLR on water levels in the Ria de Alvor, which is more pronounced during spring tides. Air temperature also impacts water temperature, generating changes higher than 2 °C inside the estuary. The freshwater discharge, despite the relatively low values, contributes significantly to changes in surface water temperature, mainly at the estuary’s upper reaches, where it contributes to a decrease in water temperature in winter conditions while elevating them during the summer. The results contribute to the advancement of knowledge on a small, barely studied estuarine system, giving insights into the establishment of human activities such as aquaculture exploitation within the estuary.
A Robust Multi-Objective Evolutionary Framework for Artificial Island Construction Scheduling Under Dynamic Constraints
Authors: Zheng Tianju , Sun Liping , Li Mingwei , Yuan Guangyao , Li Shuqi
Published: November 2024

Artificial island construction is a multifaceted engineering endeavor that demands precise scheduling to optimize resource allocation, control costs, ensure safety, and minimize environmental impact within dynamic marine environments. This study introduces a comprehensive multi-objective optimization model that integrates critical factors such as resource limitations, task dependencies, environmental variability, safety risks, and regulatory compliance. To effectively address the complexities of this model, we develop and employ the Multi-Objective Adaptive Cooperative Evolutionary Marine Genetic Algorithm (MACEMGA). MACEMGA combines cooperative coevolution, adaptive dynamic weighting, dynamic penalty functions, and advanced genetic operators to navigate the solution space efficiently and identify Pareto optimal schedules. Through extensive computational experiments using data from the Dalian Bay Cross-Sea Traffic Engineering project, MACEMGA is benchmarked against algorithms such as NSGA-II, SPEA2, and MOEA/D. The results demonstrate that MACEMGA achieves a reduction in construction time from 32.8 to 23.5 months and cost savings from CNY 4105.3 million to CNY 3650.0 million while maintaining high-quality outcomes and compliance with environmental standards. Additionally, MACEMGA shows improvements in hypervolume by up to 15% over existing methods and a Convergence Rate that is 8% faster than MOEA/D.
AaSlt2 Is Required for Vegetative Growth, Stress Adaption, Infection Structure Formation, and Virulence in Alternaria alternata
Authors: Jiang Qianqian , Wang Tiaolan , Li Yongcai , Bi Yang , Zhang Miao , Wang Xiaojing , Prusky Dov B.
Published: November 2024

Slt2 is an important component of the Slt2-MAPK pathway and plays critical regulatory roles in growth, cell wall integrity, melanin biosynthesis, and pathogenicity of plant fungi. AaSlt2, an ortholog of the Saccharomyces cerevisiae Slt2 gene, was identified from A. alternata in this study, and its function was clarified by knockout of the gene. The ΔAaSlt2 strain of A. alternata was found to be defective in spore morphology, vegetative growth, and sporulation. Analysis of gene expression showed that expression of the AaSlt2 gene was significantly up-regulated during infection structure formation of A. alternata on hydrophobic and pear wax extract-coated surfaces. Further tests on onion epidermis confirmed that spore germination was reduced in the ΔAaSlt2 strain, together with decreased formation of appressorium and infection hyphae. Moreover, the ΔAaSlt2 strain was sensitive to cell wall inhibitors, and showed significantly reduced virulence on pear fruit. Furthermore, cell wall degradation enzyme (CWDE) activities, melanin accumulation, and toxin biosynthesis were significantly lower in the ΔAaSlt2 strain. Overall, the findings demonstrate the critical involvement of AaSlt2 in growth regulation, stress adaptation, infection structure formation, and virulence in A. alternata.
The Performance of Hedge Funds: Are There Differences in Terms of Gender?
Authors: Naya Francesc , Tuchschmid Nils S.
Published: November 2024

The hedge fund (HF) industry is known to be one of the most unequal professional fields when it comes to gender. This study quantifies and confirms this severe gender gap, which appears to be persistent or even widening in recent years. We assess whether performance and risk differences explain this gap by comparing samples of woman-managed HFs vs. man-managed HFs. Through analyzing their descriptive statistics first, examining their alphas using HF benchmark indices and a pricing model and, finally, comparing differences in wealth generation, we found no evidence of performance differences that could explain such an extreme gender gap. Furthermore, our results do not support the view that women are more risk-averse than men, or that this is translated into their investment decisions. Other sociocultural factors probably partly explain the existence and persistence of this gender gap in hedge funds.
Evaluating Board Characteristics’ Influence on the Readability of Annual Reports: Insights from the Egyptian Banking Sector
Authors: Metwally Abdelmoneim Bahyeldin Mohamed , El-Deeb Mohamed Samy , Ahmed Eman Adel
Published: November 2024

This study aims to examine the impact of board characteristics (BCs) on banks’ annual reports readability (BARR). Further, it examines whether bank size (BS) moderates the association between BC and BARR. The study employs a sample of 208 bank-year observations from both listed and non-listed banks in the Egyptian stock exchange (EGX), utilizing data spanning from 2016 to 2023. The study employs a random-effect regression model to test the hypotheses and discuss the results. The results suggest that BARR has a significant association with board meetings, gender and cultural diversity. Furthermore, BS played a moderating role in determining the association between BCs and BARR, supporting the second hypothesis. The findings show that the BCs and disclosure quality differ for banks of varying sizes. The findings have practical implications for the Egyptian banking sector, highlighting that board structure is critical to transparency and maintaining public trust. Additionally, the results focus policymakers’ attention on standardizing the contents and structure of banks’ annual reports, with the aim of reducing managers’ manipulation of disclosures and reducing the level of information asymmetry between stockholders, as suggested by the agency theory.
Edge Computing for Smart-City Human Habitat: A Pandemic-Resilient, AI-Powered Framework
Authors: Choudhury Atlanta , Sarma Kandarpa Kumar , Misra Debashis Dev , Guha Koushik , Iannacci Jacopo
Published: November 2024

The COVID-19 pandemic has highlighted the need for a robust medical infrastructure and crisis management strategy as part of smart-city applications, with technology playing a crucial role. The Internet of Things (IoT) has emerged as a promising solution, leveraging sensor arrays, wireless communication networks, and artificial intelligence (AI)-driven decision-making. Advancements in edge computing (EC), deep learning (DL), and deep transfer learning (DTL) have made IoT more effective in healthcare and pandemic-resilient infrastructures. DL architectures are particularly suitable for integration into a pandemic-compliant medical infrastructures when combined with medically oriented IoT setups. The development of an intelligent pandemic-compliant infrastructure requires combining IoT, edge and cloud computing, image processing, and AI tools to monitor adherence to social distancing norms, mask-wearing protocols, and contact tracing. The proliferation of 4G and beyond systems including 5G wireless communication has enabled ultra-wide broadband data-transfer and efficient information processing, with high reliability and low latency, thereby enabling seamless medical support as part of smart-city applications. Such setups are designed to be ever-ready to deal with virus-triggered pandemic-like medical emergencies. This study presents a pandemic-compliant mechanism leveraging IoT optimized for healthcare applications, edge and cloud computing frameworks, and a suite of DL tools. The framework uses a composite attention-driven framework incorporating various DL pre-trained models (DPTMs) for protocol adherence and contact tracing, and can detect certain cyber-attacks when interfaced with public networks. The results confirm the effectiveness of the proposed methodologies.
Soil Texture Mapping in the Permafrost Region: A Case Study on the Eastern Qinghai–Tibet Plateau
Authors: Li Wangping , Liu Yadong , Wu Xiaodong , Zhao Lin , Wu Tonghua , Hu Guojie , Zou Defu , Qiao Yongping , Fan Xiaoying , Wang Xiaoxian
Published: November 2024

Soil particle distribution is one of the basic parameters for many Earth system models, while the soil texture data are largely not available. This is especially true for complex terrains due to the difficulties in data acquisition. Here, we selected an area, Wenquan area, with rolling mountains and valleys, in the eastern Qinghai–Tibet Plateau (QTP) as the study area. Using the random forest model, we established quantitative models of silt, clay, and sand content, and environmental variables, including elevation, slope, aspect, plane curvature, slope curvature, topographic wetness index, NDVI, EVI, MAT, and MAP at different depths based on the survey data of 58 soil sample points. The results showed that sand content was the highest, accounting for more than 75% of the soil particles. Overall, the average values of clay and silt gradually decreased with increasing soil profile depth, while sand showed the opposite pattern. In terms of spatial distribution, clay and silt are higher in the southeast and lower in the northwest in each standard layer, while sand is just the opposite. The random forest regression model showed that vegetation condition was a controlling factor of soil particle size. These results showed that random forest applies to predicting the spatial distribution of soil particle sizes for areas with complex terrains.
Urban Stormwater Management Using Nature-Based Solutions: A Review and Conceptual Model of Floodable Parks
Authors: Martín Muñoz Silvia , Elliott Simon , Schoelynck Jonas , Staes Jan
Published: November 2024

Climate change is causing the alteration of atmospheric dynamics, leading to extreme precipitation events and floods. On the other hand, landscape modification and increased imperviousness due to urbanization exacerbate the impacts of flooding. In order to become more permeable, cities are increasingly embracing aquatic Nature-based Solutions which, using natural processes, allow for the mitigation of water-related hazards. One of these solutions is floodable parks, where pluvial runoff is conveyed for its temporal storage into, firstly, permanent retention ponds and, eventually, the partial or totality of their surface. Floodable parks are still a novel aquatic Nature-based Solution and have not yet been investigated. In this paper, a systematic review on current floodable parks was performed in order to study (1) the conditions needed for their implementation, (2) their design, and (3) the connection between design and ecosystem services. A subsequent systematic review was performed to understand (4) the processes occurring within the park. With the obtained information, a conceptual model of floodable parks was developed. The results indicate that both the vegetation surrounding the permanent pond of the floodable park and the biodiversity within the pond enhance the performance of this solution and allow potential water reuse. The implementation of floodable parks will therefore facilitate the transformation of urban areas to create sustainable, climate-resilient, and circular cities.
Multi-Scale Analysis of Carbon Emissions in Coastal Cities Based on Multi-Source Data: A Case Study of Qingdao, China
Authors: Guan Qingchun , Meng Tianya , Guan Chengyang , Chen Junwen , Li Hui , Zhou Xu
Published: November 2024

Coastal cities, as centers of economic and industrial activity, accommodate over 40% of the national population and generate more than 70% of the GDP. They are critical centers of carbon emissions, making the accurate and long-term analysis of spatiotemporal carbon emission patterns crucial for developing effective regional carbon reduction strategies. However, there is a scarcity of studies on continuous long-term carbon emissions in coastal cities. This study focuses on Qingdao and explores its carbon emission characteristics at the city, county, and grid scales. Data from multi-source are employed, integrating net primary production (NPP), energy consumption, and nighttime light data to construct a carbon emission estimation model. Additionally, the Tapio model is applied to examine the decoupling of GDP from carbon emissions. The results indicate that the R2 of the carbon emission inversion model is 0.948. The central urban areas of Qingdao’s coastal region are identified as hotspots for carbon emissions, exhibiting significantly higher emissions compared to inland areas. There is a notable dependence of economic development on carbon emissions, and the disparities in economic development between coastal and inland areas have resulted in significant geographical differentiation in the decoupling state. Furthermore, optimizing and transitioning the energy structure has primarily contributed to carbon reduction, while exceptional circumstances, such as the COVID-19 pandemic, have led to passive fluctuations in emissions. This study provides a scientific reference for coastal cities to formulate targeted carbon reduction policies.
The Influence of a Plant-Based Diet on Skin Health: Inflammatory Skin Diseases, Skin Healing, and Plant-Based Sources of Micro- and Macro-Nutrients
Authors: Min Mildred , Tarmaster Anurag , Bodemer Apple , Sivamani Raja K.
Published: November 2024

Dietary patterns have been shown to worsen or alleviate several dermatological diseases. A well-balanced, plant-based diet is known to have anti-inflammatory, probiotic, and antioxidant properties, along with weight loss-promoting effects. Moreover, a plant-based diet has a low glycemic load, improving metabolic disease. Due to these qualities, plant-based diets may have beneficial effects on inflammatory skin conditions. In this review, we aim to discuss the possible mechanisms by which a plant-based diet reduces disease severity in psoriasis, acne, hidradenitis suppurativa, and atopic dermatitis. We also aim to clarify how a plant-based diet may influence skin healing and identify sources of vitamins, nutrients, fatty acids, and protein in a well-balanced, plant-based diet. We performed a literature search on PubMed/MEDLINE databases with the following keywords: “plant-based” OR “vegan” OR “vegetarian” OR “meat” OR “diet” AND “psoriasis” OR “hidradenitis suppurativa” OR “acne” OR “atopic dermatitis” OR “skin healing” OR “dermatology”. Our findings demonstrate that plant-based foods may improve inflammatory skin diseases by supporting the gut microbiome, exerting anti-inflammatory effects, providing barrier support, and improving glycemic control. With the proper education, there is an abundance of plant-based food sources or supplements that contain riboflavin, vitamin B12, vitamin A, omega-3 fatty acids, and protein, thereby ameliorating the risk of nutritional deficiencies. Thus, a plant-based diet may have therapeutic potential in dermatology. In spite of the evidence available, there is a paucity of clinical studies focusing specifically on plant-based diets and dermatologic conditions and further investigation is warranted.
Impact of Medial Thighplasty on Self-Perception and Body Image After Post-Bariatric Massive Weight Loss
Authors: Vater Adrian Matthias , Schultze-Mosgau Lennart Erik , Lamby Philipp Edmund , Aitzetmüller-Klietz Matthias Michael , Schmidt Karsten , Jakubietz Rafael , Jakubietz Michael
Published: November 2024

Background: The demand for body sculpting procedures after massive weight loss (MWL) has grown, with medial thighplasty (MT) emerging as an effective option. This study examines the impact of MT on quality of life (QoL), particularly focusing on body image and self-perception in individuals who have undergone MWL. Methods: This retrospective, single-center study included 21 patients who had post-bariatric MWL and subsequently underwent MT. QoL, with a focus on body image and self-perception, and was assessed through a custom-designed questionnaire administered before and after surgery. Inclusion criteria were a BMI < 35 and a history of bariatric surgery. Results: Twenty-one patients (20 female, 1 male) were included, with an average age of 50.3 years. The median weight loss was 58.4 kg. Post-operatively, the Physical Component Score (PCS-12) showed significant improvement, while the Mental Component Score (MCS-12) did not show a notable change. However, self-acceptance, body contact, sexuality, and self-esteem all significantly improved post-surgery, whereas vitality did not. Conclusions: Consistent with previous studies, MT yields positive outcomes regarding physical well-being. This study further highlights the procedure’s benefits for self-acceptance, body contact, sexuality, and self-esteem. Patients with expectations of improvements in vitality, or mental health concerns like depression or anxiety, should be carefully selected and may benefit from multidisciplinary care, including psychiatry or psychological support, to avoid dissatisfaction with post-surgical outcomes.
A Computational Fluid Dynamics-Based Study on the Effect of Bionic-Compound Recess Structures in Aerostatic Thrust Bearings
Authors: Yuan Fangjian , Xiu Hang , Cao Guohua , Zhang Jingran , Chen Bingshu , Wang Yutang , Zhou Xu
Published: November 2024

To investigate the effect of recess structures on the static and dynamic performance of aerostatic thrust bearings and to explore superior designs, this study analyzes the load-capacity theoretical model, identifying that the throttling effect and pressure-holding effect of the recess are the key factors determining the bearings’ static performance. Computational fluid dynamics (CFD) was used to evaluate three types of recess structures: a simple-orifice recess (SOR), a rectangular-compound recess (RCR), and a bionic-compound recess (BCR). The results indicate that the BCR structure demonstrates efficient transmission performance by reducing flow resistance and diverting air, while ensuring a reasonable pressure drop as the radial ratio αi changes. Additionally, the smaller air capacity of the BCR structure contributes to enhanced bearing stability, showing clear advantages in both static and dynamic performance. This research illustrates the practical application of bionics in mechanical design and provides new theoretical foundations and design strategies for improving aerostatic bearing performance.
Microstructure and Phase Equilibria in BCC-B2 Nb-Ti-Ru Refractory Superalloys
Authors: Moczadlo Melanie K. , Lass Eric A.
Published: November 2024

Refractory superalloys (RSAs) are promising candidates for high-temperature, high-strength applications. Two-phase RSAs containing body-centered cubic (BCC) and ordered B2 phases are among the more promising candidates. Systems containing Ru-based B2 precipitates exhibit stable two-phase microstructures at temperatures in excess of 1600 °C. The present study experimentally investigated one potential foundational ternary system for these alloys, Nb-Ti-Ru. Two alloys, (Nb3Ti)0.85Ru0.15 and (Nb4Ti)0.85Ru0.15, were studied to determine phase equilibria and properties at temperatures between 900 °C and 1300 °C. The B2 phase was found to be dominated by RuTi ordering, although considerable Nb solubility was observed up to 18 mol %. The Nb-rich BCC matrix contained up to 15 mol % Ru and 20 mol % Ti. Although a two-phase microstructure of B2 precipitates in a BCC matrix was confirmed, the distribution of elements in the two phases resulted in a larger lattice misfit than expected. The results obtained in this investigation provide valuable information for the future development of RSAs utilizing Ru-based B2 strengthening precipitates.
Research on the Rheological Properties and Diffusion Law of Coal-Based Solid Waste Geopolymer Grouting Material
Authors: Wang Xinyi , Zhou Mei , Bai Jinting , Liao Yue , Li Dong , Zhang Boqun
Published: November 2024

The rheological properties and diffusion law of coal-based solid waste geopolymer grouting material (CGGM) slurry were investigated by rheological property test and diffusion theory model derivation. Based on the power-law fluid constitutive equation, a theoretical model of slurry diffusion in an inclined fissure aquifer was established, and the effect of slurry grouting time on the slurry diffusion distance under different fissure widths, fissure inclination angles, and grouting pressures were analyzed. The results show that when coal gangue:cement:fly ash = 5:4:1, sodium silicate modulus 2.0, sodium silicate content is 10%, CGGM slurry’s bleeding rate of 1%, the liquidity of 227 mm, the initial and final setting time is 412 min and 825 min, respectively, to meet the requirements of the grouting project. CGGM slurry is a typical viscosity time-varying power-law type fluid, and the slurry diffusion distance is positively correlated with the grouting pressure, fissure width, fissure inclination angle, and negatively correlated with the rheological index. The established theoretical model can provide a reference for the parameter design of CGGM slurry in grouting construction.
Estimation of Quality of Seam Welds in AlMgSi(Cu) Extrusion by Using an Original Device for Weldability Testing
Authors: Bogusz Marek , Leśniak Dariusz , Zasadziński Józef , Libura Wojciech , Leszczyńska-Madej Beata , Madura Jacek , Latos Tomasz , Limanówka Kamila , Płonka Bartłomiej
Published: November 2024

Extrusion welding of AlMgSi(Cu) alloys is carried out by using porthole dies, as a result of which hollow shapes are formed with longitudinal seam welds. In the case of the inappropriate selection of the chemical composition of the aluminium alloy or improper metal welding conditions, the weld may have reduced strength in relation to that of the base material, thus weakening the strength of structures based on aluminium extrudates. The prediction of metal welding conditions, depending on the chemical composition of the alloy, the temperature and the unit welding pressures, effectively supports the design of porthole dies, thus significantly reducing the number of necessary extrusion tests and die geometry corrections needed during its implementation in industrial practice, and consequently significantly reducing production costs. In this work, an original laboratory test device simulating the behaviour of metal in a welding chamber of a porthole die was applied to examine the ability of AlMgSi(Cu) alloys to produce high-quality joints. Two different chemical compositions of AlMgSi(Cu) aluminium alloys differing in Mg, Si and Cu contents were used: alloy no. 1A (0.68% wt. Mg, 1.04% wt. Si, 0.61% wt. Cu) and alloy no. 3A (0.8% wt. Mg, 1.21% wt. Si, 1.22% wt. Cu). The weldability tests were carried out under various welding temperatures of 450, 500 and 550 °C and under various welding pressures of 150 MPa, 250 MPa and 350 MPa. The microstructural changes in the produced welds were evaluated with the use of OM and SEM/EDS with chemical analysis in micro-areas, whereas the mechanical effects were evaluated by using a static tensile test. Samples after static tensile testing were subjected to fractographic tests to determine the nature of the fractures. The highest values of relative weld strength were obtained under the highest welding temperature of 550 °C and the highest unit welding pressure of 350 MPa: 87% for alloy number 1/1A (high-strength weld), and 62% for alloy number 6/3A (medium-strength weld). Finally, the extrusion tests were performed in industrial conditions with an examination of the EBSD structure and strength of the longitudinal welds. High values of relative weld strength for extrudates from alloy no. 1/1A and alloy no. 3A, 96% and 89%, respectively, were found, which confirmed the previous weldability testing results.
Robotic Grasping Technology Integrating Large Kernel Convolution and Residual Connections
Authors: Li Liang , Li Nan , Nan Rui , He Yangfei , Li Chunlei , Zhang Weiliang , Fan Pan
Published: November 2024

To meet real-time grasping demands in complex environments, this paper proposes a lightweight yet high-performance robotic grasping model. The model integrates large kernel convolution and residual connections to generate grasping information for unknown objects from RGB and depth images, enabling real-time generation of stable grasping plans from the images. The proposed model achieved favorable accuracy on both the Cornell and Jacquard standard grasping datasets. Compared to other methods, the proposed model significantly reduces the number of parameters while achieving comparable performance, making it a lightweight model. Additionally, real-world experiments were conducted using a six-axis collaborative robot on a set of previously unseen household objects with diverse and adversarial shapes, achieving a comprehensive grasping success rate of 93.7%. Experimental results demonstrate that the proposed model not only improves grasping accuracy but also has strong potential for practical applications, particularly in resource-constrained robotic systems.
Wear and Damage Study of Straw Chopper Knives in Combine Harvesters
Authors: Jankauskas Vytenis , Abrutis Robertas , Žunda Audrius
Published: November 2024

Most of the biomass of cereal straw is chopped and left on the field as organic fertilizer, but its conversion into fertilizer depends on the quality of chopping, which is influenced by the wear of the chopping blades. The aim of the study was to determine the influence of the contamination of the cereal straw on the wear of the combine chopper blades. The study was conducted during the harvest in 2022, when 30 ± 1% of the grain was lodged and contaminated with abrasive soil particles (poor conditions), and in 2023, when the straw was unlodged and clean (excellent conditions). Six sets of blades with different mechanical and geometric properties were selected. The results showed that the wear ranges were very different: 1.47–2.99 g/100 ha in 2022 and 0.72–2.14 g/100 ha in 2023. For micro-abrasive wear, the hardness of the blades (349–568 HV) and the cutting edge angle (20°–29°) were important factors of their wear resistance. When the clean straw was chopped, the influence of the blade hardness and cutting edge angle on wear was not significant, and the wear was less. The wear of the blades had a sinusoidal character, which was related to the position of the blades on the chopping drum. This character depends on the design of the chopper and not on the straw quality.
Some Notes on Higher Frobenius–Schur Indicators of the Regular Representations for Matched Pairs of Groups
Authors: Mao Chenfei , Li Kangqiao
Published: November 2024

The notion of matched pair (F,G,▹,◃) of finite groups was introduced by Takeuchi in 1981, which is equivalent to a factorization of the group F⋈G. We find in this paper some sufficient conditions when equations νm(F⋈G)=νm(F)νm(G) for all m≥0 imply that F⋈G is the external direct product of F×G, where νm denotes m-th indicator of the regular representation of a finite group. A comparison with indicators of bismash product Hopf algebras CG#CF is also mentioned.
Soft Actor-Critic Approach to Self-Adaptive Particle Swarm Optimisation
Authors: von Eschwege Daniel , Engelbrecht Andries
Published: November 2024

Particle swarm optimisation (PSO) is a swarm intelligence algorithm that finds candidate solutions by iteratively updating the positions of particles in a swarm. The decentralised optimisation methodology of PSO is ideally suited to problems with multiple local minima and deceptive fitness landscapes, where traditional gradient-based algorithms fail. PSO performance depends on the use of a suitable control parameter (CP) configuration, which governs the trade-off between exploration and exploitation in the swarm. CPs that ensure good performance are problem-dependent. Unfortunately, CPs tuning is computationally expensive and inefficient. Self-adaptive particle swarm optimisation (SAPSO) algorithms aim to adaptively adjust CPs during the optimisation process to improve performance, ideally while reducing the number of performance-sensitive parameters. This paper proposes a reinforcement learning (RL) approach to SAPSO by utilising a velocity-clamped soft actor-critic (SAC) that autonomously adapts the PSO CPs. The proposed SAC-SAPSO obtains a 50% to 80% improvement in solution quality compared to various baselines, has either one or zero runtime parameters, is time-invariant, and does not result in divergent particles.
A Variant of the Growing Neural Gas Algorithm for the Design of an Electric Vehicle Charger Network
Authors: Curado Manuel , Hidalgo Diego , Oliver Jose L. , Tortosa Leandro , Vicent Jose F.
Published: November 2024

The Growing Neural Gas (GNG) algorithm constitutes an incremental neural network model based on the idea of a Self-Organizing Map (SOM), that is, unsupervised learning algorithms that reduce the dimensionality of datasets by locating similar samples close to each other. The design of an electric vehicle charging network is an essential aspect in the transition towards more sustainable and environmentally friendly mobility. The need to design and implement an efficient network that meets the needs of all users motivates us to propose the use of a model based on GNG-type neural networks for the design of the network in a specific geographical area. In this paper, a variant of this iterative neural network algorithm is used with the objective that, from an initial dataset of points in the plane, it calculates a new simplified dataset with the main characteristic that the final set of points maintains the geometric shape and topology of the original set. To demonstrate the capabilities of the algorithm, it is exemplified in a real case, in which the design of an electric vehicle charging network is proposed. This network is built by applying the algorithm, taking as the original set of points the ones formed by the nodes of the gas station network in the geographical area studied. Several tests of running the algorithm for different sizes of the final dataset are performed, showing the differences between the original network and the computationally generated one.
Do We Actually Help Choking Children? The Quality of Evidence on the Effectiveness and Safety of First Aid Rescue Manoeuvres: A Narrative Review
Authors: Bieliński Jakub R. , Huntley Riley , Dunne Cody L. , Timler Dariusz , Nadolny Klaudiusz , Jaskiewicz Filip
Published: November 2024

The management of foreign body airway obstruction has evolved over time from back blows and chest thrusts to abdominal thrusts. However, current guidelines worldwide are based on outdated data, with unclear evidence regarding the effectiveness and safety of these rescue manoeuvres. Concerns persist about the potential of these techniques to cause injury, especially in children; therefore, a critical revision to ensure optimal child safety is necessary. The literature on first aid for paediatric choking was identified through the searching of various databases. Studies were evaluated for their relevance, quality, and currency. The analysis examined guideline consistency with current evidenced-based medicine and identified research gaps. The analysis of the available data was supplemented by adult-based evidence due to the scarcity of paediatric-specific research. First aid guidelines and recommendations for paediatric choking are divergent and generally grounded in low-quality evidence derived primarily from case studies. Studies since 2015 have shown highly diverse methodologies and often lack details on the execution of individual techniques, body positioning or the specific characteristics of study groups, which are crucial when comparing the effectiveness and safety of rescue manoeuvres. Updating evidence-based scientific knowledge for future recommendations is crucial.
Effects of Autologous Conditioned Serum on Non-Union After Open Reduction Internal Fixation Failure: A Case Series and Literature Review
Authors: Cheng Pen-Gang , Au Man-Kuan , Lee Chian-Her , Huang Meng-Jen , Yang Kuender D. , Hsu Chun-Sheng , Wang Chi-Hui
Published: November 2024

Background and Objectives: Non-union is a severe complication of traumatic fracture that often leads to disability and decreased quality of life, with treatment remaining complex due to a lack of standardized protocols. This study examines the effectiveness of autologous conditioned serum (ACS) for non-union in patients who have a failed open reduction internal fixation (ORIF). Materials and Methods: Eleven patients with confirmed non-union at least 9 months post-ORIF or total hip replacement were enrolled. These patients received ACS treatment on the lesion sites once to three times monthly and were followed up. Efficacy was monitored through monthly X-rays to assess callus formation and bone union. Results: Seven patients received ACS three times, three patients received it twice, and the one who underwent total hip replacement received it once. Ten patients achieved union at the last follow-up visit, indicating the effectiveness of ACS in non-union cases unresponsive to ORIF. ACS demonstrated promising results in facilitating bone union in these challenging cases. Conclusions: ACS has the potential as an alternative or adjective treatment for non-union and is worthy of being investigated further for the benefits of patients.
Bridging Classical Methodologies in Salmonella Investigation with Modern Technologies: A Comprehensive Review
Authors: Kitchens Steven Ray , Wang Chengming , Price Stuart B.
Published: November 2024

Advancements in genomics and machine learning have significantly enhanced the study of Salmonella epidemiology. Whole-genome sequencing has revolutionized bacterial genomics, allowing for detailed analysis of genetic variation and aiding in outbreak investigations and source tracking. Short-read sequencing technologies, such as those provided by Illumina, have been instrumental in generating draft genomes that facilitate serotyping and the detection of antimicrobial resistance. Long-read sequencing technologies, including those from Pacific Biosciences and Oxford Nanopore Technologies, offer the potential for more complete genome assemblies and better insights into genetic diversity. In addition to these sequencing approaches, machine learning techniques like decision trees and random forests provide powerful tools for pattern recognition and predictive modeling. Importantly, the study of bacteriophages, which interact with Salmonella, offers additional layers of understanding. Phages can impact Salmonella population dynamics and evolution, and their integration into Salmonella genomics research holds promise for novel insights into pathogen control and epidemiology. This review revisits the history of Salmonella and its pathogenesis and highlights the integration of these modern methodologies in advancing our understanding of Salmonella.
Thiobacter aerophilum sp. nov., a Thermophilic, Obligately Chemolithoautotrophic, Sulfur-Oxidizing Bacterium from a Hot Spring and Proposal of Thiobacteraceae fam. nov.
Authors: Dukat Anna M. , Elcheninov Alexander G. , Klyukina Alexandra A. , Novikov Andrei A. , Frolov Evgenii N.
Published: November 2024

An aerobic, obligately chemolithoautotrophic, sulfur-oxidizing bacterium, strain AK1T, was isolated from a terrestrial hot spring of the Uzon Caldera, Kamchatka, Russia. The cells of the new isolate were Gram-negative motile rods with a single polar flagellum. Strain AK1T grew at 37–55 °C (optimum 50 °C) with 0–1.0% NaCl (optimum 0%) and within the pH range 4.8–7.0 (optimum pH 5.2–5.5). The new isolate was able to grow by aerobic respiration with sulfide, sulfur, or thiosulfate as the electron donor and HCO3−/CO2 as the carbon source. The major fatty acids were C16:0, C17:1 Δ, and C16:1 ω7c. The respiratory lipoquinone was ubiquinone UQ-8. The size of the genome and genomic DNA G+C content of the strain AK1T were 2.55 Mb and 64.0%, respectively. The closest 16S rRNA gene sequence of a validly published species belonged to Thiobacter subterraneus C55T (97.94% identity). According to the 16S rRNA gene sequence-based and conserved protein sequences-based phylogenetic analyses, strain AK1T represented a distinct lineage of the genus Thiobacter within a new family, Thiobacteraceae of the order Burkholderiales. As inferred from the morphology, physiology, chemotaxonomy, and phylogeny, strain AK1T ought to be recognized as a novel species for which we propose the name Thiobacter aerophilum sp. nov. The type strain is AK1T (=CGMCC 1.18099T = UQM 41819T).
The Equilibrium of Bacterial Microecosystem: Probiotics, Pathogenic Bacteria, and Natural Antimicrobial Substances in Semen
Authors: Miao Xuelan , Zhao Yanhua , Zhu Lingxi , Zeng Yutian , Yang Cuiting , Zhang Run , Lund Arab Khan , Zhang Ming
Published: November 2024

Semen is a complex fluid that contains spermatozoa and also functions as a dynamic bacterial microecosystem, comprising probiotics, pathogenic bacteria, and natural antimicrobial substances. Probiotic bacteria, such as Lactobacillus and Bifidobacterium, along with pathogenic bacteria like Pseudomonas aeruginosa and Escherichia coli, play significant roles in semen preservation and reproductive health. Studies have explored the impact of pathogenic bacteria on sperm quality, providing insights into the bacterial populations in mammalian semen and their influence on sperm function. These reviews highlight the delicate balance between beneficial and harmful bacteria, alongside the role of natural antimicrobial substances that help maintain this equilibrium. Moreover, we discuss the presence and roles of antimicrobial substances in semen, such as lysozyme, secretory leukocyte peptidase inhibitors, lactoferrin, and antimicrobial peptides, as well as emerging antibacterial substances like amyloid proteins. Understanding the interactions among probiotics, pathogens, and antimicrobial agents is crucial for elucidating semen preservation and fertility mechanisms. Additionally, the potential for adding probiotic bacteria with recombinant antibacterial properties presents a promising avenue for the development of new semen extenders. This review offers updated insights to understand the equilibrium of the bacterial microecosystem in semen and points toward innovative approaches for improving semen preservation.
5-Fluorouracil Inhibits Bacterial Growth and Reduces Biofilm in Addition to Having Synergetic Effects with Gentamicin Against Pseudomonas aeruginosa
Authors: Niazy Amani A. , Alrashed May M. , Lambarte Rhodanne Nicole A. , Niazy Abdurahman A.
Published: November 2024

Pseudomonas aeruginosa is a multidrug-resistant pathogen known for chronic infections, mainly due to biofilm formation. This study aimed to explore the potential repurposing of 5-fluorouracil (5-FU), an anticancer drug, to treat P. aeruginosa infections. Firstly, we investigated the inhibitory effects of 5-FU on bacterial growth using the microdilution method. Secondly, the impact of 5-FU on biofilm formation and disassembly was assessed via biofilm biomass measurements with the crystal violet staining method and confocal microscopy analyses. Lastly, the potential synergy between 5-FU and the antibiotics gentamicin and meropenem was evaluated using a checkerboard assay. Results revealed that 5-FU inhibited bacterial growth in a dose-dependent manner, with 100% inhibition observed at concentrations of 25 µg/mL and higher. Also, 70% and 100% reductions in biofilm biomass were demonstrated at concentrations of 12 and 100 µg/mL, respectively. Controversy, these higher concentrations unexpectedly increased biofilm biomass in pre-formed biofilms. Synergistic interactions were observed between 5-FU and gentamicin in both growth inhibition (FICI 0.31) and biofilm inhibition (ZIP 14.1), while no synergy was found with meropenem. These findings highlight the potential of 5-FU as an adjunctive therapy for P. aeruginosa infections, especially in combination with gentamicin. However, further research is required to address 5-FU limitations against mature biofilms.
IL-36 Gamma: A Novel Adjuvant Cytokine Enhancing Protective Immunity Induced by DNA Immunization with TGIST and TGNSM Against Toxoplasma gondii Infection in Mice
Authors: Tan Ying , Mu Jingqi , Chen Jia
Published: November 2024

Background: Toxoplasma gondii can cause congenital infections and abortions in humans. TgIST and TgNSM play critical roles in intracellular cyst formation and chronic infection. However, no studies have explored their potential to induce protective immunity against T. gondii infection. Objective: To evaluate the immune efficacy of DNA vaccines encoding TgNSM and TgIST genes against T. gondii infection, using the acute and chronic ME49 strain (Type II). Methods: DNA vaccines, including eukaryotic plasmids pVAX-IST and pVAX-NSM, were constructed. A cocktail DNA vaccine combining these two genes was formulated. The expression and immunogenicity were determined using the indirect immunofluorescence assay (IFA). Mice were immunized with DNA vaccines encoding either TgIST or TgNSM, as well as with the cocktail DNA vaccine. Humoral and cellular immune responses were analyzed by detecting antibody levels, cytotoxic T cell (CTL) responses, cytokines, and lymphocyte surface markers. Mouse survival and brain cyst counts were assessed 1 to 2 months post-vaccination in experimental toxoplasmosis models. The adjuvant efficacy of plasmid pVAX-IL-36γ in enhancing DNA vaccine-induced protective immunity was also evaluated. Results: DNA immunization with pVAX-IST and pVAX-NSM elicited strong humoral and cellular immune responses, characterized by increased Toxoplasma-specific IgG2a titers, Th1 responses (including production of IFN-γ, IL-2, IL-12p40, and IL-12p70), and cell-mediated activity with elevated frequencies of CD8+ and CD4+ T cells, and CTL responses. This provided significant protective efficacy against acute and chronic T. gondii infection. Mice immunized with the two-gene cocktail (pVAX-IST + pVAX-NSM) showed greater protection than those immunized with single-gene vaccines. Co-administration of the molecular adjuvant pVAX-IL-36γ further enhanced the protective immunity induced by the cocktail DNA vaccine. Conclusions: TgIST and TgNSM induce effective immunity against T. gondii infection, making them promising vaccine candidates against toxoplasmosis. Additionally, IL-36γ is a promising genetic adjuvant that enhances protective immunity in a vaccine setting against T. gondii, and it should be evaluated in strategies against other apicomplexan parasites.