bluuebunny/crossref_metadata_2025 huggingface dataset:
Machining Eco-Friendly Jute Fiber-Reinforced Epoxy Composites Using Specially Produced Cryo-Treated and Untreated Cutting Tools
Authors: Adin Mehmet Şükrü , Adin Hamit
Published: November 2024

In recent years, consumers have become increasingly interested in natural, biodegradable and eco-friendly composites. Eco-friendly composites manufactured using natural reinforcing filling materials stand out with properties such as cost effectiveness and easy accessibility. For these reasons, in this research, a composite workpiece was specially manufactured using eco-friendly jute fibers. Two cost-effective cutting tools were specially produced to ensure high-quality machining of this composite workpiece. One of these specially manufactured cutting tools was subjected to DC&T (deep cryogenic treatment and tempering) processes to improve its performance. At the end of the research, when the lowest and highest Fd (delamination factor) values obtained with DC&T-T1 and T1 cutting tools were compared, it was observed that 5.49% and 6.23% better results were obtained with the DC&T-T1 cutting tool, respectively. From the analysis of the S/N (signal-to-noise) ratios obtained using Fd values, it was found that the most appropriate machining parameters for the composite workpiece used in this investigation were the DC&T-T1 cutting tool, a 2000 rev/min spindle speed and a 100 mm/min feed rate. Through ANOVAs (analyses of variance), it was discovered that the most significant parameter having an impact on the Fd values was the spindle speed, with a rate of 53.01%. Considering the lowest and highest Ra (average surface roughness) values obtained using DC&T-T1 and T1 cutting tools, it was seen that 19.42% and 16.91% better results were obtained using the DC&T-T1 cutting tool, respectively. In the S/N ratio analysis results obtained using Ra values, it was revealed that the most appropriate machining parameters for the composite workpiece used in this investigation were the DC&T-T1 cutting tool, a 2000 rev/min spindle speed and a 100 mm/min feed rate. In the ANOVAs, it was revealed that the most significant parameter having an effect on the Ra values was the feed rate at 37.86%.
Aggregation Modeling for Integrated Energy Systems Based on Chance-Constrained Optimization
Authors: Zhou Jianhua , Li Rongqiang , Li Yang , Shi Linjun
Published: November 2024

Integrated energy systems (IESs) strengthen electricity–gas–heat multi-energy coupling and reduce wind and light abandonment. For grids with superior distribution, IESs are similar to virtual energy storage systems and are able to realize efficient interaction with the grid by synergizing the operating status of the internal equipment and improving the security, economy, and flexibility of the grid’s operation. However, the internal equipment coupling of an IES is complex, and determining how to evaluate its adjustable capacity range (that is, the upper and lower boundaries of its external energy demand) considering the uncertainty and volatility of wind power and photovoltaic output is a problem to be solved. To solve this problem, this paper presents a chance-constrained evaluation method for the adjustable capacity of IESs. Firstly, mathematical models and operational constraints of each device within the IES are established. Secondly, based on the mathematical model of chance-constrained planning, an adjustable capacity range assessment model considering the uncertainty of wind and photovoltaic output is established. Finally, the MATLAB/Yalmip/Gurobi solver is used for the optimization solution, and the adjustable capacity range interval of the constructed IES model is solved using an arithmetic example to analyze and verify the correctness and validity of the method and to study the influencing factors of its adjustable range.
Feasibility Evaluation of I–Shaped Horizontal Salt Cavern for Underground Natural Gas Storage
Authors: Xie Kai , Chen Wei , Xie Dongzhou , Cao Donglin , Wang Wenquan , Zhu Guanghai , Wang Junwei
Published: November 2024

Underground salt cavern gas storage has been widely applied due to its numerous advantages. Most of China’s salt resources are derived from lacustrine deposits. As high–quality resources in the central sedimentary area are gradually exploited, exploring the utilization of thin salt layers at the edges of sedimentary centers is the future development trend. However, the use of thin salt layers faces challenges such as low resource utilization, small cavern volumes, and poor economic feasibility, which limit its engineering applications. Therefore, a comprehensive assessment of constructing gas storage in thin salt layers is necessary. This paper first analyzes the necessity of building gas storage in thin salt layers and surveys cavern construction methods and their applicability. Based on geological seismic data, the feasibility of constructing gas storage in the Pingdingshan thin salt layer is proposed. A novel I–shaped cavern design is introduced, which, according to engineering economic evaluations, reduces investment by 9.6% compared to traditional single–well vertical cavern construction methods. Finally, rock mechanics tests were conducted to study the impact of mudstone interlayers and cyclic operation modes on the stability of the I–shaped cavern under three different injection and production conditions. The analysis shows that multi–cycle injection and production can effectively suppress cavern shrinkage and the development of the rock–relative plastic zone. The safety factor (SF) for different conditions is greater than 1, indicating that the I–shaped cavern has good stability and can adapt to various operational conditions. This study provides valuable insights into the geological conditions and rock mechanics characteristics for the future construction of gas storage in thin salt layers in China.
Peptidomic Analysis Reveals Temperature-Dependent Proteolysis in Rainbow Trout (Oncorhynchus mykiss) Meat During Sous-Vide Cooking
Authors: Sakuyama Miyu , Kominami Yuri , Ushio Hideki
Published: November 2024

Sous vide, a cooking method that involves vacuum-sealed fish at low temperatures, yields a uniquely tender, easily flaked texture. Previous research on sous-vide tenderization has focused on thermal protein denaturation. On the other hand, the contribution of proteases, activated at low temperatures in fish meat, has been suggested. However, the details of protein degradation remain unclear. This study employed SDS-PAGE/immunoblot and peptidomic analysis of rainbow trout to assess proteolysis during sous-vide cooking. The results from SDS-PAGE and immunoblot analysis indicated reduced thermal aggregation of sarcoplasmic proteins and increased depolymerization of actin under low-temperature cooking conditions. A comparison of the peptidome showed that the proteolysis of myofibrillar proteins was accelerated during sous-vide cooking, with distinct proteases potentially activated at different cooking temperatures. Terminome analysis revealed the contribution of specific proteases at higher temperatures in rainbow trout. The results of this study demonstrate the thermal denaturation of sarcoplasmic proteins and proteolysis of myofibrillar proteins in rainbow trout meat during sous-vide cooking and its temperature dependence. The methodology in the present study could provide insights into the optimization of cooking conditions for different fish species, potentially leading to improved texture and quality of sous-vide products.
Korean Messiahs: Victory Altar and the Koreanization of Protestantism
Authors: Rigal-Cellard Bernadette
Published: November 2024

This paper analyses the indigenization or Koreanization of Protestantism in South Korea in the late 20th century through a study of an original messianic and millenarian movement, Victory Altar. The group was founded in 1981 by Cho Hee-Seung in the biblical tradition, with references to Korean spiritual traditions as well. Its most salient feature is the self-consecration of Cho Hee-Seung as “Victor Christ and God”, the unique universal Messiah. In order to show the correlation between this spiritual movement, Protestantism, and Korean culture, I survey the recent history of South Korea and its staunch nationalism largely spurred by Protestant missionaries at the turn of the 20th century. I then present the core teachings of Cho the Messiah: the biological immortality of neohumans, the Hebrew genealogy of the Koreans thanks to the saga of the Lost Tribe of Dan from Israel to Korea, and his major vows to protect South Korea. An assessment of the heritage of Protestantism in this movement is then offered through the perspective of post-colonialism since Victory Altar sees itself and its Messiah/God as far superior to the God and Messiah of the Western powers that brought Christianity to Korea without really understanding it.
“Signore, Ti Amo” (John 21:17): The Christology of Pope Benedict XVI/Joseph Ratzinger
Authors: de Gaál Emery A.
Published: November 2024

With 1600 titles Joseph Ratzinger/Pope Benedict XVI. is the most academically published pope in Church history. His stature as a theologian is only comparable to that of Leo the Great or Gregory the Great. In an age that has lost an appreciation for the human being as a person, the peritus Ratzinger introduced at the Second Vatican Council the notion that divine revelation is ultimately identical with the Godman Jesus Christ. In his view, Jesus Christ, as a divine person with both divine and human natures, redeems the postmodern human being from solipsistic self-preoccupation and existentialist despair. Such is the result of a positivistic and rationalistic approach to the figure of Jesus Christ. At the beginning of the 21st century, Pope Benedict XVI inaugurated an epochal, personalist, and Christocentric shift by penning the Jesus of Nazareth trilogy, taking serious Kant’s critiques and writing thus the first “post-critical” Christology presented to postmodernity. Nowhere else does Ratzinger write so extensively on “the man from Nazareth”.
“Always an Imam”: Understanding the Occupation of Imam from Theoretical Perspectives on Professions
Authors: Trucco Noemi , Dehbi Asmaa
Published: November 2024

In this article, the occupation of the imam is analysed using a profession-theoretical approach. Following Oevermann, we view professionalised action as a relational practice, characterised by a paradoxical unity of diffuseness and specificity. Drawing on empirical data on imams in Switzerland, we highlight several factors that contribute to a shift towards more diffuse social relationships between professionals and their clients: task-specific boundaries become blurred, and temporal and spatial limits break down. These factors help to explain why imams in Switzerland report feeling stressed and overburdened. We argue that the role of the imam can, in principle, be conceptualised as a profession. From the perspective of a power approach to professions, however, the concept of profession can only be applied to the occupation of an imam to a limited extent, as it is not universal, but remains reserved for men.
Natural Science as a Modern Locus Theologicus Alienus
Authors: Böttigheimer Christoph
Published: November 2024

God’s word is the starting point of all theological knowledge and is conveyed through different objectivations. Since the 16th century, the authorised places of testimony of the Word of God have been referred to as “loci theologici”. The Dominican Melchior Cano distinguished ten homes of the divine word of revelation, whereby he counted human reason, philosophy, and the history of mankind among the loci alieni. The Second Vatican Council valued the non-theological sciences and granted them autonomy, which is developed in the first part of the essay. Today, it is mainly the insights of natural sciences that enrich theology but also challenge it, especially when the theological view is not narrowed anthropocentrically but is oriented towards the whole of creation. In this case, the question underlying the second part arises as to how the goal of creation can be considered together with the intrinsic lawfulness of nature. It will be shown that this question offers theology the opportunity to reflect on its statements on creation, as well as unanswerable questions.
Inner Peace as the Seed of Global Peace: Unveiling the Link Between Zhuangzi’s Mysticism and Nonviolent Resistance
Authors: Liu Na
Published: November 2024

This paper delves into the connection between Zhuangzi’s mystical philosophy and its potential application to nonviolent resistance movements. It argues that the cultivation of inner peace, as advocated by Zhuangzi, can serve as a powerful foundation for individuals to engage in peaceful social change. Zhuangzi, a prominent figure in ancient Chinese thought, emphasized the importance of achieving harmony with Dao, the natural order of the universe. His mystical teachings centered on concepts like the “Pu 樸” (perfect natural state), “Xiao Yao You 逍遙遊” (Free and Easy Wandering) and “Qi Wu Lun 齊物論” (Equalizing Things and Equalizing Theory), as well as “Xin Zhai 心齋” (Fasting of the Mind) and “Zuo Wang 坐忘” (Sitting and Forgetting). This paper explores how these mystical concepts can be interpreted as a call for inner peace and tranquility. The paper then examines how inner peace, as envisioned by Zhuangzi, can empower individuals to participate in nonviolent resistance. It suggests that achieving inner peace allows individuals to transcend feelings of anger, resentment, and violence, fostering a sense of compassion and understanding towards their opponents. This inner peace, in turn, can fuel the courage and determination necessary to engage in peaceful protests and civil disobedience. By exploring the connection between Zhuangzi’s mysticism and nonviolent resistance, this paper aims to shed light on an alternative approach to social change. It argues that inner peace, cultivated through mystical experience, can be a powerful tool for individuals seeking to create a more just and peaceful world.
Characteristic Description and Statistical Model-Based Method for Sea Clutter Modeling
Authors: He Huafeng , Li Zhen , Zhang Xi , Jia Jianguang , He Yaomin , You Yongquan
Published: November 2024

The modeling and analysis of sea clutter are of great significance in radar target detection studies in marine environments. Sea clutter typically exhibits non-Gaussian characteristics and spatiotemporal correlations, posing challenges for modeling, especially when generating simulation data of continuous correlated non-Gaussian random processes. This paper proposes a novel method for sea clutter modeling. First, feature description functions are constructed to individually characterize the amplitude, temporal, and spatial correlations of sea clutter, allowing for an accurate depiction of its characteristics with fewer parameters. Subsequently, simulation data are generated based on these feature description functions, satisfying the amplitude distribution, temporal correlation, and spatial correlation characteristics of sea clutter. Additionally, complex signal forms are introduced in the underlying signal processing to generate texture and speckle components of sea clutter, enhancing the alignment of simulation data with actual data. Through comparison with measured sea clutter data, the proposed method has been shown to accurately simulate complex sea clutter with real-world characteristics.
Evaluation of Microwave Radiometer Sea Ice Concentration Products over the Baltic Sea
Authors: Mäkynen Marko , Kern Stefan , Tonboe Rasmus
Published: November 2024

Sea ice concentration (SIC) monitoring in the Arctic using microwave radiometer data is a well-established method with numerous published accuracy studies. For the Baltic Sea, accuracy studies have not yet been conducted. In this study, we evaluated five different SIC products over the Baltic Sea using MODIS (250 m) and Sentinel-2 (10 m) open water–sea ice classification charts. The selected SIC products represented different SIC algorithm types, e.g., climate data records and near-real-time products. The one-to-one linear agreement between the radiometer SIC dataset and the MODIS/Sentinel-2 SIC was always quite poor; the slope of the linear regression was from 0.40 to 0.77 and the coefficient of determination was from 0.26 to 0.80. The standard deviation of the difference was large and varied from 15.5% to 26.8%. A common feature was the typical underestimation of the MODIS/Sentinel-2 SIC at large SIC values (SIC > 60%) and overestimation at small SIC values (SIC < 40%). None of the SIC products performed well over the Baltic Sea ice, and they should be used with care in Baltic Sea ice monitoring and studies.
Application of PlanetScope Imagery for Flood Mapping: A Case Study in South Chickamauga Creek, Chattanooga, Tennessee
Authors: Chanda Mithu , Hossain A. K. M. Azad
Published: November 2024

Floods stand out as one of the most expensive natural calamities, causing harm to both lives and properties for millions of people globally. The increasing frequency and intensity of flooding underscores the need for accurate and timely flood mapping methodologies to enhance disaster preparedness and response. Earth observation data obtained through satellites offer comprehensive and recurring perspectives of areas that may be prone to flooding. This paper shows the suitability of high-resolution PlanetScope imagery as an efficient and accessible approach for flood mapping through a case study in South Chickamauga Creek (SCC), Chattanooga, Tennessee, focusing on a significant flooding event in 2020. The extent of the flood water was delineated and mapped using image classification and density slicing of Normalized Difference Water Index (NDWI). The obtained results indicate that PlanetScope imagery performed well in flood mapping for a narrow creek like SCC, achieving an overall accuracy of more than 90% and a Kappa coefficient of over 0.80. The findings of this research contribute to a better understanding of the flood event in Chattanooga and demonstrate that PlanetScope imagery can be utilized as a very useful resource for accurate and timely flood mapping of streams with narrow widths.
Analyzing and Predicting LUCC and Carbon Storage Changes in Xinjiang’s Arid Ecosystems Under the Carbon Neutrality Goal
Authors: Song Jie , He Xin , Zhang Fei , Ma Xu , Jim Chi Yung , Johnson Brian Alan , Chan Ngai Weng
Published: November 2024

Land use/cover change (LUCC) significantly alters the carbon storage capacity of ecosystems with a profound impact on global climate change. The influence of land use changes on carbon storage capacity and the projection of future carbon stock changes under different scenarios are essential for achieving carbon peak and neutrality goals. This study applied the PLUS-InVEST model to predict the land use pattern in China’s arid Xinjiang Region in 2020–2050. The model assessed the carbon stock under four scenarios. Analysis of the historical LUCC data showed that the carbon storage in Xinjiang in 2000–2020 in five-year intervals was 85.69 × 108, 85.79 × 108, 85.87 × 108, 86.01 × 108, and 86.71 × 108 t. The rise in carbon sequestration capacity in the study area, attributable to the expansion of cropland, water, and unused land areas, brought a concomitant increment in the regional carbon storage by 1.03 × 108 t. However, prediction results for 2030–2050 showed that carbon storage capacity under the four scenarios would decrease by 0.11 × 108 and increase by 1.2 × 108, 0.98 × 108 t, and 1.28 × 108 t, respectively. The findings indicate that different land transfer modes will significantly affect Xinjiang’s carbon storage quantity, distribution, and trend. This research informs the past, present, and future of carbon storage in arid ecosystems of Xinjiang. It offers a reference for Xinjiang’s development planning and informs the efforts to achieve the carbon peak and neutrality goals.
Inter-Sensor Level 1 Radiometric Comparisons Using Deep Convective Clouds
Authors: Rivoire Louis , Clerc Sébastien , Alhammoud Bahjat , Romand Frédéric , Lamquin Nicolas
Published: November 2024

To evaluate the radiometric performance of top-of-atmosphere reflectance images, Deep Convective Clouds (DCCs) can be used as temporally, spatially and spectrally stable targets. The DCCs method has been developed more than 20 years ago and applied recently to Sentinel-2 and Sentinel-3 sensors. In this paper, among other developments, we built a new methodology upon those existing by using the bootstrap method and spectral band adjustment factors computed with the Hyper-Spectral Imager (HSI) from the Environmental Mapping and Analysis Program (EnMAP). This methodology is applied to the two Multi-Spectral Imager (MSI) instruments onboard Sentinel-2A and 2B, but also the two Operational Land Imager (OLI) instruments onboard Landsat 8 and 9, from visible wavelength at 442 nm to shortwave-infrared at 2200 nm, using images with a ground resolution spanning from 10 m to 60 m. The results demonstrate the good inter-calibration of MSI units A and B, which are within one percent of relative difference on average between January 2022 and June 2024 for all visible, near-infrared and shortwave-infrared bands, except for the band at 1375 nm for which saturation prevents the use of the method. Similarly, OLI and OLI-2 are found to have a relative difference on the same period lower than one percent for all 30 m resolution bands. Evaluation of the relative difference between the MSI sensors and the OLI sensors with the DCCs method gives values lower than three percent. Finally, these validation results are compared to those obtained with Pseudo-Invariant Calibration Sites (PICSs) over Libya-4: an agreement better than two percent is found between the DCCs and PICSs methods.
Automatic Registration of Panoramic Images and Point Clouds in Urban Large Scenes Based on Line Features
Authors: Zhang Panke , Ma Hao , Wang Liuzhao , Zhong Ruofei , Xu Mengbing , Chen Siyun
Published: November 2024

As the combination of panoramic images and laser point clouds becomes more and more widely used as a technique, the accurate determination of external parameters has become essential. However, due to the relative position change of the sensor and the time synchronization error, the automatic and accurate matching of the panoramic image and the point cloud is very challenging. In order to solve this problem, this paper proposes an automatic and accurate registration method for panoramic images and point clouds of urban large scenes based on line features. Firstly, the multi-modal point cloud line feature extraction algorithm is used to extract the edge of the point cloud. Based on the point cloud intensity orthoimage (an orthogonal image based on the point cloud’s intensity values), the edge of the road markings is extracted, and the geometric feature edge is extracted by the 3D voxel method. Using the established virtual projection correspondence for the panoramic image, the panoramic image is projected onto the virtual plane for edge extraction. Secondly, the accurate matching relationship is constructed by using the feature constraint of the direction vector, and the edge features from both sensors are refined and aligned to realize the accurate calculation of the registration parameters. The experimental results show that the proposed method shows excellent registration results in challenging urban scenes. The average registration error is better than 3 pixels, and the root mean square error (RMSE) is less than 1.4 pixels. Compared with the mainstream methods, it has advantages and can promote the further research and application of panoramic images and laser point clouds.
MMYFnet: Multi-Modality YOLO Fusion Network for Object Detection in Remote Sensing Images
Authors: Guo Huinan , Sun Congying , Zhang Jing , Zhang Wuxia , Zhang Nengshuang
Published: November 2024

Object detection in remote sensing images is crucial for airport management, hazard prevention, traffic monitoring, and more. The precise ability for object localization and identification enables remote sensing imagery to provide early warnings, mitigate risks, and offer strong support for decision-making processes. While traditional deep learning-based object detection techniques have achieved significant results in single-modal environments, their detection capabilities still encounter challenges when confronted with complex environments, such as adverse weather conditions or situations where objects are obscured. To overcome the limitations of existing fusion methods in terms of complexity and insufficient information utilization, we innovatively propose a Cosine Similarity-based Image Feature Fusion (CSIFF) module and integrate it into a dual-branch YOLOv8 network, constructing a lightweight and efficient target detection network called Multi-Modality YOLO Fusion Network (MMYFNet). This network utilizes cosine similarity to divide the original features into common features and specific features, which are then refined and fused through specific modules. Experimental and analytical results show that MMYFNet performs excellently on both the VEDAI and FLIR datasets, achieving mAP values of 80% and 76.8%, respectively. Further validation through parameter sensitivity experiments, ablation studies, and visual analyses confirms the effectiveness of the CSIFF module. MMYFNet achieves high detection accuracy with fewer parameters, and the CSIFF module, as a plug-and-play module, can be integrated into other CNN-based cross-modality network models, providing a new approach for object detection in remote sensing image fusion.
Near Real-Time Flood Monitoring Using Multi-Sensor Optical Imagery and Machine Learning by GEE: An Automatic Feature-Based Multi-Class Classification Approach
Authors: Farhadi Hadi , Ebadi Hamid , Kiani Abbas , Asgary Ali
Published: November 2024

Flooding is one of the most severe natural hazards, causing widespread environmental, economic, and social disruption. If not managed properly, it can lead to human losses, property damage, and the destruction of livelihoods. The ability to rapidly assess such damages is crucial for emergency management. Near Real-Time (NRT) spatial information on flood-affected areas, obtained via remote sensing, is essential for disaster response, relief, urban and industrial reconstruction, insurance services, and damage assessment. Numerous flood mapping methods have been proposed, each with distinct strengths and limitations. Among the most widely used are machine learning algorithms and spectral indices, though these methods often face challenges, particularly in threshold selection for spectral indices and the sampling process for supervised classification. This study aims to develop an NRT flood mapping approach using supervised classification based on spectral features. The method automatically generates training samples through masks derived from spectral indices. More specifically, this study uses FWEI, NDVI, NDBI, and BSI indices to extract training samples for water/flood, vegetation, built-up areas, and soil, respectively. The Otsu thresholding technique is applied to create the spectral masks. Land cover classification is then performed using the Random Forest algorithm with the automatically generated training samples. The final flood map is obtained by subtracting the pre-flood water class from the post-flood image. The proposed method is implemented using optical satellite images from Sentinel-2, Landsat-8, and Landsat-9. The proposed method’s accuracy is rigorously evaluated and compared with those obtained from spectral indices and machine learning techniques. The suggested approach achieves the highest overall accuracy (OA) of 90.57% and a Kappa Coefficient (KC) of 0.89, surpassing SVM (OA: 90.04%, KC: 0.88), Decision Trees (OA: 88.64%, KC: 0.87), and spectral indices like AWEI (OA: 84.12%, KC: 0.82), FWEI (OA: 88.23%, KC: 0.86), NDWI (OA: 85.78%, KC: 0.84), and MNDWI (OA: 87.67%, KC: 0.85). These results underscore the superior accuracy and effectiveness of the proposed approach for NRT flood detection and monitoring using multi-sensor optical imagery.
Soil Sensor Use in Delimiting Management Zones for Sowing Maize in No-Till
Authors: Bottega Eduardo Leonel , Pinto Ederson Bitencourt , Saretta Ezequiel , Oliveira Zanandra Boff de , Severo Filipe Silveira , Assmann Johan
Published: November 2024

This study aimed to analyze yield components and maize yield cultivated at different population densities in management zones (MZs) delimited based on mapping the spatial variability of the soil’s apparent electrical conductivity (ECa). The soil ECa was measured, and two MZs were subsequently delimited, one with low ECa and the other with high ECa. In each MZ, four maize sowing densities were tested: 60,000 (D1); 80,000 (D2); 100,000 (D3); and 140,000 (D4) seeds ha−1. Ear length, number of grains per ear, number of grains per row, number of rows per ear, thousand-grain weight, and yield were evaluated. The increase in sowing density in the high ECa MZ linearly reduced the values of ear diameter, number of rows per ear, number of grains per ear, and thousand-grain weight. Sowing density D3, when implemented in the low ECa MZ, showed higher values for the ear length, ear diameter, number of grains per row, number of grains per ear, and thousand-grain weight. Sowing density D2 was the one with the highest yield, regardless of the MZ where it was implemented (5628.48 kg ha−1 in the high ECa management zone and 4463.63 kg ha−1 in the low ECa).
Research Advances in Marine Aquaculture Net-Cleaning Robots
Authors: Liu Heng , Jiang Chuhua , Chen Junhua , Li Hao , Chen Yongqi
Published: November 2024

In the realm of marine aquaculture, the netting of cages frequently accumulates marine fouling, which impedes water circulation and poses safety hazards. Traditional manual cleaning methods are marked by inefficiency, high labor demands, substantial costs, and considerable environmental degradation. This paper initially presents the current utilization of net-cleaning robots in the cleaning, underwater inspection, and monitoring of aquaculture cages, highlighting their benefits in enhancing operational efficiency and minimizing costs. Subsequently, it reviews key technologies such as underwater image acquisition, visual recognition, adhesion-based movement, efficient fouling removal, motion control, and positioning navigation. Ultimately, it anticipates the future trajectory of net-cleaning robots, emphasizing their potential for intelligence and sustainability, which could drive the marine aquaculture industry towards a more efficient and eco-friendly era.
Fractional Fourier Transform-Based Signal Separation for Ultrasonic Guided Wave Inspection of Plates
Authors: Peng Chengxiang , Annus Paul , Rist Marek , Land Raul , Ratassepp Madis
Published: November 2024

Detecting defects in plates is crucial across various industries due to safety risks. While ultrasonic bulk waves offer point-by-point inspections, they are time-consuming and limited in coverage. In contrast, guided waves enable the rapid inspection of larger areas. Array transducers are typically used for more efficient coverage, but conventional excitation methods require sufficient time delays between the excitation of array elements that prolong inspection time, necessitating data acquisition time optimization. Reducing time delays can lead to signal overlapping, complicating signal separation. Conventional frequency domain or time-domain filtering methods often yield unsatisfactory separation results due to the signal overlapping in both domains. This study focuses on the application of the Fractional Fourier Transform (FrFT) for separating overlapping ultrasonic signals, leveraging the FrFT’s ability to distinguish signals that overlap in both the time and frequency domains. Numerical simulations and experiments were conducted to investigate the FrFT’s separation performance for guided waves inspection with array transducers. Results showed that a smaller time delay worsened separation, while using a chirp signal with a broader bandwidth improved separation for signals of fixed duration. Additionally, the effect of signal dispersion on the results was minimal. The findings confirm that the FrFT can effectively separate overlapping signals, enhancing time efficiency in guided wave inspections using array transducers.
Age-Related Differences in Cardiovascular and Cerebrovascular Responses During the Head-Up Tilt Test: An Exploratory Study Using Continuous Biosignal Data
Authors: Park Catherine , Hong Ji Man
Published: November 2024

The head-up tilt (HUT) test assesses both cardiovascular autonomic regulation and cerebral autoregulation. This exploratory study examined age-related changes in cardiovascular and cerebrovascular responses during the HUT test in three healthy cohorts (young, middle-aged, and elderly). We recruited 2342 neurologist-diagnosed ‘normal’ individuals from 18 June 2014 to 25 February 2022. Cerebrovascular and cardiovascular responses were assessed during the HUT test, including cerebral blood flow velocity (CBFv) of the middle cerebral artery, systolic arterial pressure (SYS), diastolic arterial pressure (DIA), mean arterial pressure (MAP), pulse pressure (PP), heart rate (HR), stroke volume (SV), cardiac output (CO), and cerebrovascular conductance (CVCi). These variables were analyzed across three groups (young, middle-aged, and elderly) and three periods (resting, post-HUT, and recovery). Participants were stratified into three age groups: young (18–45 years; n = 384), middle-aged (46–59 years; n = 434), and elderly (≥60 years; n = 590). PP increased significantly with age, while CBFv and CVCi decreased significantly across the three periods. As measurements progressed, DIA and HR increased, and SV, CBFv, and CVCi decreased. This study enhances our understanding of age-related differences in cardiovascular and cerebrovascular responses to the HUT test. These insights may improve the clinical utility of the HUT test and guide outcome analysis across age groups.
Activities of Daily Living Object Dataset: Advancing Assistive Robotic Manipulation with a Tailored Dataset
Authors: Shahria Md Tanzil , Rahman Mohammad H.
Published: November 2024

The increasing number of individuals with disabilities—over 61 million adults in the United States alone—underscores the urgent need for technologies that enhance autonomy and independence. Among these individuals, millions rely on wheelchairs and often require assistance from another person with activities of daily living (ADLs), such as eating, grooming, and dressing. Wheelchair-mounted assistive robotic arms offer a promising solution to enhance independence, but their complex control interfaces can be challenging for users. Automating control through deep learning-based object detection models presents a viable pathway to simplify operation, yet progress is impeded by the absence of specialized datasets tailored for ADL objects suitable for robotic manipulation in home environments. To bridge this gap, we present a novel ADL object dataset explicitly designed for training deep learning models in assistive robotic applications. We curated over 112,000 high-quality images from four major open-source datasets—COCO, Open Images, LVIS, and Roboflow Universe—focusing on objects pertinent to daily living tasks. Annotations were standardized to the YOLO Darknet format, and data quality was enhanced through a rigorous filtering process involving a pre-trained YOLOv5x model and manual validation. Our dataset provides a valuable resource that facilitates the development of more effective and user-friendly semi-autonomous control systems for assistive robots. By offering a focused collection of ADL-related objects, we aim to advance assistive technologies that empower individuals with mobility impairments, addressing a pressing societal need and laying the foundation for future innovations in human–robot interaction within home settings.
Dynamic Response of Masonry Structures to Temperature Variations: Experimental Investigation of a Brick Masonry Wall
Authors: Pellegrini Daniele , Barontini Alberto , Mendes Nuno , Lourenço Paulo B.
Published: November 2024

Structural health monitoring (SHM) is essential for preserving historical and modern infrastructure by tracking dynamic properties such as frequencies and mode shapes. Changes in these properties can indicate structural damage, but environmental factors like temperature can also cause similar variations, complicating damage detection. This study investigates from an experimental point of view the effect of temperature on the dynamic behaviour of masonry structures, focusing on a masonry wall subjected to thermal load variations within operational conditions. The experimental setup involved a masonry wall specimen tested at the Structural Laboratory of the University of Minho, Portugal. The mock-up was subjected to various boundary conditions and loading scenarios. The results showed that the natural frequencies of the masonry wall can be significantly influenced by temperature changes, variations strictly related to the boundary conditions and the stress acting on the mock-up. In contrast, mode shapes seem not to be affected by temperature variations. This study provides valuable insights into the temperature-induced variations in the dynamic properties of masonry structures, emphasising the need to consider environmental effects in SHM applications. By filtering out these environmental influences, more accurate damage detection and proactive maintenance strategies can be developed, enhancing the safety and longevity of both historical and modern structures.
Unified Multi-Abstraction-Level Functional Testing and Performance Measurements for Industrial IoT in Spatially Distributed Narrow Band-Wireless Wide Area Networks
Authors: Sebastian E Jubin , Sowieja Fabian , Sikora Axel
Published: November 2024

Narrow Band-Wireless Wide Area Networking (NB-WWAN) technologies are becoming more popular across a wide range of application domains due to their ability to provide spatially distributed and reliable wireless connectivity in addition to offering low data rates, low bandwidth, long-range, and long battery life. For functional testing and performance assessments, the wide range of wireless technology alternatives within this category poses several difficulties. At the device level, it is necessary to address issues such as resource limitations, complex protocols, interoperability, and reliability, while at the network level, challenges include complex topologies and wireless channel/signal propagation problems. Testing the functionality and measuring the performance of spatially distributed NB-WWAN systems require a systematic approach to overcome these challenges. Furthermore, to provide a seamless test flow, it is also critical to test and compare the performance of wireless systems systematically and consistently across the different system development phases. To evaluate NB-WWAN technologies comprehensively across multiple abstraction levels—network simulators, emulated lab testbeds, and field test environments—we propose a unified multi-abstraction-level testing methodology. A detailed technical description of the prototype implementation and its evaluation is presented in this paper.
Research on High-Precision and Wide-Range Spacecraft Potential Measurement Method Based on Capacitive Voltage Division
Authors: Yin Hong , Liu Haibo , Qin Xiaogang , Liu Qing , Wang Jun , Wen Xuan , Wang Peng , Yu Zixin , Yang Shengsheng
Published: November 2024

The charging and discharging of satellite surfaces induced by the space plasma environment constitute a primary cause of spacecraft anomalies, particularly in geosynchronous orbits subject to geomagnetic substorms and hot plasma injections from the magnetotail, where satellites are prone to unequal high-potential charging, significantly impacting the safe and reliable operation of spacecraft. Addressing the need for measuring these unequal charge states, a high-precision, wide-range spacecraft potential measurement method based on capacitive voltage division was investigated. This study analyzed the mechanism of potential measurement and the factors contributing to errors during the measurement process, explored optimal design methodologies, and innovatively developed a fundamental charge zeroing method to resolve output drift issues caused by accumulated errors fundamentally. Consequently, a non-contact potential measurement system was developed, featuring a measurement range of up to −15,000 V, a resolution below 15 V, and a nonlinear error of less than 0.1%. This system provides technical support for monitoring the potential state of spacecraft and ensuring their safety and protection.
A Convenient and Efficient Strategy for Improving Separation Ability of Capillary Electrophoresis Through Tilting Capillary as Needed
Authors: Jia Wenhui , Zheng Pingyi , Cui Yuchen , Bao James , Xu Yanmei , Li Youxin
Published: November 2024

The effect of gravity based on the vector sum of gravity and buoyancy forces working spontaneously for all species was introduced into capillary electrophoresis (CE) as another important force which cooperated with electrophoretic flow and electro-osmotic flow. Their portion was adjusted by simply tilting the whole of the capillary at an angle during CE running. The related formula was proposed and verified through a series of experiments. After investigating the related parameters, results showed that the gravity effect was significantly affected by additives in the buffer, the length, and the inner diameter of the capillary, and the size of the sample molecule. This made the different ions with opposite or significantly different mobilities to be observed at a CE run. It significantly improved separation efficiencies of some small molecules, chiral compounds, macromolecules and cells when the tilt angles of the capillary were adjusted to a special range predicted through the fitting curve. In addition, micrometer level microspheres and cells were firstly separated by the new CE strategy and the resolutions were more than 1.0. After ingeniously designing the gradient of the tilting angle with time, we were able to further enhance the separation efficiency of the targets. For example, the resolution of lysozyme and ribonuclease A could be increased from 3.691 to 7.342. These indicated the huge potential of the new CE strategy and its gradient mode in separation.
Diurnal Variations in Upper and Lower Body Power in Adolescent Volleyball Players: Exploring Time-of-Day Effects on Performance
Authors: Trajković Nebojša , Milić Vladan , Đurković Tomislav , Rešetar Tomica , Korobeynikov Georgiy
Published: November 2024

Background/Objectives: This study aims to investigate the daily variations in upper and lower body power performance in adolescent volleyball players. Methods: The sample consisted of 50 young male volleyball players (14.12 ± 0.8 years), actively involved in regular training and competition. Players were tested for vertical jump tests and medicine ball throws twice, once in the morning (8:00–9:30 h) and once in the evening (18:00–19:30 h). Results: Significant differences (p < 0.05; ES = 0.35–0.42) in vertical jump were observed when comparing the morning and evening performance except for counter movement jump with arm swing, where there were no significant differences (p = 0.21). The results for the upper body power tests revealed a significant difference only in the standing medicine ball throw (p = 0.05; ES = 0.35). There were no significant differences in lying and seated medicine ball throw (p > 0.05). Conclusions: This study demonstrated that lower body power, manifested in vertical jump performance, was significantly better in the evening compared to the morning. For upper body assessments, the standing medicine ball throw appears more reflective of volleyball-specific movements, while the lying and sitting throw may be less applicable. These findings suggest that volleyball training and testing, especially for leg power, may be more effective later in the day, while upper body performance appears less affected by time.
Influence of Body Composition and Muscle Power Performance on Multiple Frequency Speed of Kick Test in Taekwondo Athletes
Authors: Apollaro Gennaro , Panascì Marco , Ouergui Ibrahim , Falcó Coral , Franchini Emerson , Ruggeri Piero , Faelli Emanuela
Published: November 2024

The Multiple Frequency Speed of Kick Test (FSKTmult) is used to investigate which characteristics are necessary for, contribute to, or limit the ability to repeat high-intensity intermittent efforts in taekwondo. This cross-sectional study investigated the relationship between anthropometric and body composition characteristics, muscle power performance, and sport-specific anaerobic performance. Nineteen black belt taekwondo athletes (mean ± SD age: 17.2 ± 2.4 years) volunteered to participate. Anthropometric and body composition characteristics (i.e., body height (BH), body mass (BM), fat mass (FM), body fat (BF%), and muscle mass (MM)) and physical performance (squat jump (SJ), countermovement jump (CMJ) tests, and FSKTmult) were assessed. Data were analyzed with correlation coefficients and simple linear regression. The statistical significance was set at p < 0.05. The total number of kicks in FSKTmult (FSKTtotal) was significantly and positively correlated with MM (r = 0.521, R2 = 0.27, p < 0.05) and negatively with BF% (r = −0.499, R2 = 0.25, p < 0.05). The FSKTtotal was significantly and positively correlated with SJ (r = 0.520, R2 = 0.27, p < 0.05) and CMJ (r = 0.508, R2 = 0.26, p < 0.05) performance. Body composition optimization, with appropriate physical training and dietary planning, is relevant in taekwondo as the improvement in the ability to repeat high-intensity intermittent efforts depends on MM, and its worsening on BF%. Lower limb muscle power positively influences the ability to repeat high-intensity intermittent efforts. Therefore, training programs should emphasize ballistic and plyometric exercises.
True Cost Accounting Using Life Cycle Assessment Methods and Data: A Case Study Comparing Palm, Rapeseed, and Coconut Oils for Sustainability and Nutrition
Authors: Bellon Mauricio R. , Benard Nicholas , Vizcaino Maricarmen , Merrigan Kathleen , Wharton Christopher
Published: November 2024

True Cost Accounting (TCA) aims to assess positive and negative externalities in agri-food value chains by focusing on four capitals: produced, natural, human, and social. While produced capital is easily measured through market values, obtaining relevant data for measuring natural, human, and social capitals can be challenging. To address this challenge, this paper presents a case study around the production in Asia of three globally important edible plant oils: palm, rapeseed, and coconut. Results show that readily available methods and data from different types of Life Cycle Assessments (LCAs) can be integrated into the framework of TCA to quantify and monetize positive and negative externalities associated with the production and consumption of these oils and to analyze the tradeoffs involved in choosing among them. However, the use of LCA methods and data also entails significant assumptions and limitations that must be considered when evaluating their use in TCA. Specific results show that the environmental impacts of production are small in comparison to the potential nutritional health benefits of consuming one oil over another. This study provides a roadmap for conducting similar analyses, allowing for a greater understanding of often overlooked sustainability and nutritional issues of food items.