bluuebunny/crossref_metadata_2025 huggingface dataset:
Random-Coupled Neural Network
Authors: Liu Haoran , Xiang Mingrong , Liu Mingzhe , Li Peng , Zuo Xue , Jiang Xin , Zuo Zhuo
Published: October 2024

Improving the efficiency of current neural networks and modeling them on biological neural systems have become prominent research directions in recent years. The pulse-coupled neural network (PCNN) is widely used to mimic the computational characteristics of the human brain in computer vision and neural network fields. However, PCNN faces limitations such as limited neural connections, high computational costs, and a lack of stochastic properties. This study proposes a random-coupled neural network (RCNN) to address these limitations. RCNN employs a stochastic inactivation process, selectively inactivating neural connections using a random inactivation weight matrix. This method reduces the computational burden and allows for extensive neural connections. RCNN encodes constant stimuli as periodic spike trains and periodic stimuli as chaotic spike trains, reflecting the information encoding characteristics of biological neural systems. Our experiments applied RCNN to image segmentation and fusion tasks, demonstrating its robustness, efficiency, and high noise resistance. Results indicate that RCNN surpasses traditional methods in performance across these applications.
Removal of Organic Micropollutants and Microplastics via Ozonation Followed by Granular Activated Carbon Filtration
Authors: Béalu Zoé , Walther Johanna , Abusafia Attaallah , Altmann Korinna , Meurer Maren , Gretzschel Oliver , Schäfer Michael , Steinmetz Heidrun
Published: October 2024

Discharge from Wastewater Treatment Plants (WWTPs) can result in the emission of organic micropollutants (OMPs) and microplastics (MPs) into the aquatic environment. To prevent this harmful release, a pilot plant consisting of an ozonation followed by a granular activated carbon (GAC) filter was operated at a WWTP in Germany, and its side-effects on the concentrations of nitrogen (N) and phosphorous (P) compounds were measured. Over 80% of OMPs and transformation products were removed during the operating time (around 6000 bed volumes) no matter the ozone dose (from around 0.1 to 0.5 mgO3/mgDOC), except for Diatrizoic acid, whose breakthrough appeared at 3500 BV. Formation of the oxidation by-product, NDMA, increased with higher ozone doses, but the concentration remained below 100 ng/L. Bromate was formed at a higher ozone dose (>0.4 mgO3/mgDOC) but at a low concentration—below 10 µg/L. The MP particles detected in the inflow (PE, SBR, PP, and PS) were effectively eliminated to a high degree, with a removal rate of at least 92%. Carbon parameters (COD, DOC, and SAC254) were removed further by the pilot plant, but to different extents. As expected, nitrate was formed during ozonation, while nitrite’s concentration decreased. Further, nitrite decreased and nitrate increased within the GAC filter, while ammonium was eliminated by at least 90%. Total P concentration decreased after the pilot, but the concentration of PO4-P increased.
Three-Dimensional Drone Cell Placement: Drone Placement for Optimal Coverage
Authors: Basu Aniket , Oroojeni Hooman , Samakovitis Georgios , Al-Rifaie Mohammad Majid
Published: October 2024

Using drone cells to optimize Radio Access Networks is an exemplary way to enhance the capabilities of terrestrial Radio Access Networks. Drones fitted with communication and relay modules can act as drone cells to provide an unobtrusive network connection. The multi-drone-cell placement problem is solved using adapted Dispersive Flies Optimization alongside other meta-heuristic algorithms such as Particle Swarm Optimization and differential evolution. A home-brewed simulator has been used to test the effectiveness of the different implemented algorithms. Specific environment respective parameter tuning has been explored to better highlight the possible advantages of one algorithm over the other in any particular environment. Algorithmic diversity has been explored, leading to several modifications and improvements in the implemented models. The results show that by using tuned parameters, there is a performance uplift in coverage probability when compared to the default meta-heuristic parameters while still remaining within the constraints implied by the problem’s requirements and resource limitation. This paper concludes by offering a study and comparison between multiple meta-heuristic approaches, investigating the impact of parameter tuning as well as analyzing the impact of intermittent restarts for the algorithms’ persistent diversity.
Uncertainty-Aware Time Series Anomaly Detection
Authors: Wiessner Paul , Bezirganyan Grigor , Sellami Sana , Chbeir Richard , Bungartz Hans-Joachim
Published: October 2024

Traditional anomaly detection methods in time series data often struggle with inherent uncertainties like noise and missing values. Indeed, current approaches mostly focus on quantifying epistemic uncertainty and ignore data-dependent uncertainty. However, consideration of noise in data is important as it may have the potential to lead to more robust detection of anomalies and a better capability of distinguishing between real anomalies and anomalous patterns provoked by noise. In this paper, we propose LSTMAE-UQ (Long Short-Term Memory Autoencoder with Aleatoric and Epistemic Uncertainty Quantification), a novel approach that incorporates both aleatoric (data noise) and epistemic (model uncertainty) uncertainties for more robust anomaly detection. The model combines the strengths of LSTM networks for capturing complex time series relationships and autoencoders for unsupervised anomaly detection and quantifies uncertainties based on the Bayesian posterior approximation method Monte Carlo (MC) Dropout, enabling a deeper understanding of noise recognition. Our experimental results across different real-world datasets show that consideration of uncertainty effectively increases the robustness to noise and point outliers, making predictions more reliable for longer periodic sequential data.
Microcapsule Emergency Response Technology for Gas and Fire Coupling Sudden Disaster
Authors: Chen Dianfu , Cao Naifu , Li Wei , Cui Chuanbo
Published: October 2024

Aiming at the complex conditions of the coexistence of the explosive gases in the coal mines and the risk of spontaneous coal combustion, the effect of encapsulation, oxygen barrier and different microcapsules on methane and long-chain alkanes has been studied. A non-toxic microcapsule comprising the anti-explosion fire-extinguishing polymeric material with neutral pH value, biodegradability and full solubility in water has been developed. The fire-extinguishing platform system has been used to test and analyze the fire-extinguishing effect, explosion suppression efficiency and package efficiency of the oil-pan fires and solid stacks. It is revealed that the microcapsule fire-extinguishing technology has a strong fire-extinguishing effect and can better inhibit the methane explosion, owing to its effective enveloping effect on methane, thus making it difficult to reignite. The developed technology is of theoretical significance and has a practical application value for studying the flame retardation and fire-extinguishing behavior of combustible substances.
Regulation on Aggregation Behavior and In Vitro Digestibility of Phytic Acid–Whey Protein Isolate Complexes: Effects of Heating, pH and Phytic Acid Levels
Authors: Pei Yaqiong , Deng Ziyu , Li Bin
Published: October 2024

The impact of heat treatment, pH and phytic acid (PA) concentration on the aggregation behavior and digestibility of whey protein isolate (WPI) was investigated. The experimental results indicated that below the isoelectric point of WPI, heat treatment and elevated PA levels significantly increased turbidity and particle size, leading to the aggregation of WPI molecules. No new chemical bonds were formed and the thermodynamic parameters ΔH < 0, ΔS > 0 and ΔG < 0 suggested that the interaction between PA and WPI was primarily a spontaneous electrostatic interaction driven by enthalpy. After the small intestine stage, increasing phytic acid levels resulted in a significant decrease in hydrolysis degree from 16.2 ± 1.5% (PA0) to 10.9 ± 1.4% (0.5% PA). Conversely, above isoelectric point of WPI, there was no significant correlation between the presence of PA and the aggregation behavior or digestion characteristics of WPI. These results were attributed to steric hindrance caused by PA-WPI condensates, which prevented protease binding to hydrolysis sites on WPI. In summary, the effect of PA on protein aggregation behavior and digestive characteristics was not simply dependent on its presence but largely on the aggregation degree of PA-WPI induced by heat treatment, pH and PA concentration. The findings obtained here suggested that phytic acid may be utilized as an agent to modulate the digestion characteristics of proteins according to production requirements. Additionally, the agglomerates formed by heating phytic acid and protein below the isoelectric point could also be utilized for nutrient delivery.
The Functional Capacity of the Upper Airway in Older Adults with Chronic Stroke
Authors: Prados-Román Esther , Zapata-Soria Mónica , Cabrera-Martos Irene , Valenza-Peña Geraldine , Calvache-Mateo Andrés , Martín-Núñez Javier , Valenza Marie Carmen
Published: October 2024

(1) Background: Older adults with chronic stroke may experience compromised upper airway functions due to stroke-related changes and aging. This study aimed to evaluate the functional capacity of the upper airway in older adults with chronic stroke. (2) Methods: A total of 44 patients (22 in each group) were included in the study. The respiratory assessment involved measuring forced vital capacity, forced expiratory volume in one second, maximum voluntary ventilation, and peak cough flow. The voice assessment recorded intensity, frequency, shimmer, and the harmonics-to-noise ratio during a monologue task. Additionally, the maximum phonation time of /a/ and /s/ was recorded. The swallowing assessment included the Eating Assessment Tool—10 and the Swallowing Quality of Life questionnaire. (3) Results: Significant differences were found in the experimental group compared to the control group in maximum voluntary ventilation (44.59 ± 15.61 vs. 58.50 ± 28.08, p = 0.049) and peak cough flow (173.64 ± 101.09 vs. 291.59 ± 176.58, p = 0.009). Additionally, the experimental group showed poorer results than the control group in monologue intensity (66.60 ± 3.72 vs. 114.72 ± 63.09, p = 0.001), the harmonics-to-noise ratio (9.08 ± 2.06 vs. 10.26 ± 1.59, p = 0.042), and the maximum phonation time of /s/ (4.36 ± 1.67 vs. 8.09 ± 4.07, p < 0.001). Patients with stroke also had significantly lower values for swallowing efficiency and safety compared to the control group (7.05 ± 8.44 vs. 2.23 ± 4.14, p = 0.021) and reported poorer quality of life related to swallowing difficulties (185.50 ± 23.66 vs. 200.32 ± 19.60, p = 0.029). (4) Conclusions: Older adults with chronic stroke exhibited significantly reduced cough strength, voice intensity, maximum phonation time, and swallowing function compared to controls.
Co-Implications: Rethinking the Relationship Between Psychoanalysis, Literature, and Philosophy
Authors: Alfandary Isabelle , Levine Michael , Ricciardi Alessia
Published: October 2024

Psychoanalysis, literature, and philosophy—these practices and disciplines are linked by a dual paradigm of affinity and asymmetry [...]
Evaluating Seismocardiography as a Non-Exercise Method for Estimating Maximal Oxygen Uptake
Authors: Schulenburg Robert , Schmidt Samuel Emil , Schröder Jan , Harth Volker , Reer Rüdiger
Published: October 2024

Background: The value of maximal oxygen uptake (VO2MAX) is a key health indicator. Usually, VO2MAX is determined with cardiopulmonary exercise testing (CPET), which is cumbersome and time-consuming, making it impractical in many testing scenarios. The aim of this study is to validate a novel seismocardiography sensor (Seismofit®, VentriJect DK, Hellerup, Denmark) for non-exercise estimation of VO2MAX. Methods: A cohort of 94 healthy subjects (52% females, 48.2 (8.7) years old) were included in this study. All subjects performed an ergometer CPET. Seismofit® measurements were obtained 10 and 5 min before CPET in resting condition and 5 min after exhaustion. Results: The CPET VO2MAX was 37.2 (8.6) mL/min/kg, which was not different from the two first Seismofit® estimates at 37.5 (8.1) mL/min/kg (p = 0.28) and 37.3 (7.8) mL/min/kg (p = 0.66). Post-exercise Seismofit® was 33.8 (7.1) mL/min/kg (p < 0.001). The correlation between the CPET and the Seismofit® was r = 0.834 and r = 0.832 for the two first estimates, and the mean average percentage error was 11.4% and 11.2%. Intraclass correlation coefficients between the first and second Seismofit® measurement was 0.993, indicating excellent test-retest reliability. Conclusion: The novel Seismofit® VO2MAX estimate correlates well with CPET VO2MAX, and the accuracy is acceptable for general health assessment. The repeatability of Seismofit® estimates obtained at rest was very high.
Balance and Health-Related Quality of Life After 1 Year of COVID-19 Social Restriction Measures: A Cross-Sectional Study in Two Samples from Spain
Authors: Huertas-Hoyas Elisabet , Rodríguez-Rivas Cristina , Rodríguez-Pérez Mª Pilar , García-de-Miguel María , Trugeda-Pedrajo Nuria , Delgado-Lobete Laura , Fernández-Gómez Gemma , Camacho-Montaño Lucía Rocío
Published: October 2024

Background: The COVID-19 pandemic significantly impacted the well-being of the general population. However, more information is needed regarding the relationship between participation-related outcomes. This study aimed to analyze the impact of the pandemic on occupational balance (OB) and health-related quality of life (HRQoL) before and after social restrictions and to explore their relationship with COVID-19 diagnosis. Methods: We conducted a study among individuals diagnosed with COVID-19, assigning a healthy control group with the same sociodemographic characteristics using the EQ-5D-5L and the Occupational Balance Questionnaire (OBQ). Results: The final sample size consisted of 61 participants in the COVID-19 diagnosis group (50.8% male; mean age 34.6 ± 14.17 years) and 57 healthy participants (50.8% male; mean age 33.7 ± 13.77 years). There were no differences in the sociodemographic variables between the groups. Significant differences were found between groups both before the pandemic and 1 year after confinement measures in HRQoL and OBQ (p < 0.005). The regression model indicated significant associations (p < 0.001) between HRQoL and both current OB and COVID-19 diagnosis. However, the OBQ scores from before the pandemic did not show a significant association with HRQoL (p = 0.336). Conclusions: In conclusion, social restrictions from the COVID-19 pandemic negatively impacted HRQoL in our sample even 1 year after confinement, with COVID-19 diagnosis and occupational imbalance predicting worse outcomes, highlighting the need for targeted interventions not only for the current situation but also for possible future public health crises.
Population Genetic Characteristics of the Cultivated Coffea arabica with Whole-Genome Resequencing
Authors: Zhang Qin , Ma Dongxiao , Yang Yang , Hu Faguang , Fu Xingfei , Li Guiping , Zhang Xiaofang , Wang Na , Liu Dexin , Wu Ruirui , Bi Xiaofei , Lou Yuqiang , Li Yaqi , Yu Haohao , Yan Wei , Li Yanan
Published: October 2024

Coffea arabica L. (C. arabica) is an economically important agricultural crop and the most popular beverage worldwide. To analyze genetic diversity and provide genetic resources for the selection and breeding of superior varieties of C. arabica, 61 cultivated Arabica coffee accessions were analyzed in the study, including 12 resequencing accessions from previous research and 49 accessions that were resequenced in this study. Single nucleotide polymorphisms (SNPs) and insertion–deletions (InDels) were statistically analyzed. Based on SNP variations, a genetic structure analysis, phylogenetic tree construction, and principal component analysis were performed for the 61 coffee accessions. The results showed that a total of 805.46 Gb of raw whole-genome resequencing data was obtained from the 61 coffee accessions, with 781.29 Gb of high-quality sequencing data after filtering. In total, 7,013,820 SNP sites and 1,074,329 InDel sites were detected. The average sequencing depth ranged from 6.69× to 19.35×, and the coverage ranged from 85.49% to 96.43%. The population genetic structure and phylogenetic analysis of the 61 coffee accessions revealed four lineages, suggesting that they had at least four ancestral genetic components. Catimor exhibited the highest genetic diversity, while Geisha had the lowest genetic diversity. The selective sweep analysis indicated that among the selected genes in Catimor, disease-resistance genes were significantly more numerous than in other coffee varieties. The genome resequencing data and genetic markers identified from the 61 cultivated Arabica coffee materials provided insights into the genetic variation in Arabica coffee germplasm and facilitated extensive genetic research.
Improving the Productivity and Physiological Characteristics of Lettuce Plants Using Spraying Calcium as a Nanofertilizer
Authors: Salama Dina M. , Osman Samira A. , Mahmoud Sami H. , El-Tanahy Ahmed M. M. , Abd El-Aziz Mahmoud E.
Published: October 2024

Implementing nanofertilizers in cultivation to enhance food security is important and gaining great significance, as they have good properties to improve plant production, phytochemicals, and nutrient efficiency and thereby meet the demands of the increasing world population for food. This work demonstrated the impact of calcium carbonate nanoparticles (Ca-NPs) and Ca bulk at three concentrations (0, 100, and 200 mg L−1) on growth, productivity, photosynthetic pigments, phytochemical content, antioxidant activity enzymes, minerals, toxicity, and genomic DNA of lettuce plants. In this regard, Ca-NPs at a concentration of 200 mg L−1 reinforced the vegetative growth characteristics of lettuce plants, increasing head length by 15.7 and 19.2%, head diameter by 20.3 and 19.9%, head fresh weight by 54.4 and 52.9%, and production per hectare by 54.7 and 52.8% as compared to the control during the two growing seasons. Furthermore, the percentages of total chlorophyll (62.6 and 59.5%), carotenoids (48.4 and 56.5%), total phenolics (63.6 and 65.7%), total indoles (39.4 and 36.4%), vitamin C (39.7 and 39.6%), antioxidant activity (57.8 and 53.7%), nitrogen (70.5 and 67.5%), phosphorus (120 and 110.5%), potassium (33.0 and 33.2%), and calcium (67.14 and 63.2%) were also increased compared with the control during two consecutive growing seasons. Additionally, Ca-NPs and Ca bulk had an impact on the plants’ genomic DNA compared to the control. In addition, lettuce plants treated with Ca-NPs were proven to be nontoxic and safe for humans by using the Microtox 500 analyzer.
Transcriptome and Physiological Analyses of Resistant and Susceptible Pepper (Capsicum annuum) to Verticillium dahliae Inoculum
Authors: Huang Xinmin , He Liming , Tan Huimin , Liu Jiayi , Qiu Qiucheng , Sun Qidi , Ouyang Lejun , Han Hanbing , He Qinqin
Published: October 2024

Pepper (Capsicum annuum) is a globally important vegetable, and Verticillium wilt is an important disease affecting peppers and is caused by Verticillium dahliae, which can severely reduce yields. However, the molecular mechanisms underlying the responses of pepper to infection by V. dahliae are largely unknown. We performed physiological and transcriptome analysis using resistant and susceptible pepper cultivars inoculated with V. dahliae. Compared to the susceptible cultivar MS66, the resistant cultivar MS72 retained higher chlorophyll content and lower malondialdehyde content after inoculation. At 3 days after inoculation (DAI), compared with MS66, 534 differentially expressed genes (DEGs) were identified in MS72. At 5 DAI, 2392 DEGs were identified in MS72 compared with MS66. The DEGs in MS72 were mainly enriched in the cell wall and photosynthesis-related Gene Ontology terms, as well as in pathways such as cutin, suberin, wax biosynthesis, phenylpropanoid biosynthesis, and photosynthesis. Using weighted gene co-expression network analysis, 36 hub genes involved in the resistance response were identified, including the transcription factor bHLH93 (Capana04g000815), defense-like protein 1 (MSTRG.5904), and miraculin-like (Capana10g002167). Our findings contribute to a more comprehensive understanding of the response mechanism of pepper to V. dahliae inoculation, providing new avenues for improving pepper resistance through breeding programs.
Groundwater Geochemistry in the Karst-Fissure Aquifer System of the Qinglian River Basin, China
Authors: Xu Lanfang , Ni Zehua , Huang Wenlong , Tu Shiliang , Jiang Shoujun , Zhuang Zhuohan , Zhao Libo , Yang Hongyu
Published: October 2024

The Qinglian River plays a significant role in China’s national water conservation security patterns. To clarify the relationship between hydrogeochemical properties and groundwater quality in this karst-fissure aquifer system, drilling data, hydrochemical parameters, and δ2H and δ18O values of groundwater were analyzed. Multiple indications (Piper diagram, Gibbs diagram, Na+-normalized molar ratio diagram, chloro-alkaline index 1, mineral saturation index, and principal component analysis) were used to identify the primary sources of chemicals in the groundwater. Silicate weathering, oxidation of pyrite and chlorite, cation exchange reactions, and precipitation are the primary sources of dissolved chemicals in the igneous-fissure water. The most relevant parameters in the karst water are possibly from anthropogenic activities, and other chemicals are mostly derived from the dissolution of calcite and dolomite and cation exchange reactions. Notably, the chemical composition of the deep karst water from the karst basin is mainly influenced by the weathering of carbonate and cation exchange reactions and is less affected by human activities. The hydrogeochemical properties of groundwater in the karst hyporheic zone are influenced by the dissolution of carbonates and silicates, evaporation, and the promotion effect of dissolution of anorthite or Ca-containing minerals. Moreover, the smallest slope of the groundwater line from the karst hyporheic zone among all groundwater groups revealed that the mixing effects of evaporation, isotope exchange in water–rock interaction or deep groundwater recharge in the karst hyporheic zone are the strongest. The methods used in this study contribute to an improved understanding of the hydrogeochemical processes that occur in karst-fissure water systems and can be useful in zoning management and decision-making for groundwater resources.
Scoping the Field: Recent Advances in Optical Remote Sensing for Precision Viticulture
Authors: Loggenberg Kyle , Strever Albert , Münch Zahn
Published: October 2024

The use of passive optical remote sensing (RS) has a rich history in precision viticulture (PV), with the use of RS technologies being employed in a myriad of PV applications. The present work undertakes a scoping review to examine past and current trends in the use of RS in grapevine production. It aims to identify literature gaps and new research opportunities. The Scopus database facilitated the search for relevant articles published between 2014 and 2023 using a search string of keywords. A total of 640 articles were produced by the Scopus search. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) reporting framework, the 640 articles were reviewed based on predefined inclusion and exclusion criteria, resulting in 388 articles being deemed eligible for further data extraction. Four research questions were defined to guide the data extraction process, and a coding scheme was implemented to address these questions. The scoping review found Italy and the United States to be leading contributors to the research field, with vineyard mapping, yield estimation, and grapevine water status being the most extensively studied RS–PV applications. However, the use of RS to map vineyard soil properties and grapevine cultivars remains underexplored, presenting promising avenues for future research.
Review of Image Processing Methods for Surface and Tool Condition Assessments in Machining
Authors: Ercetin Ali , Der Oguzhan , Akkoyun Fatih , Gowdru Chandrashekarappa Manjunath , Şener Ramazan , Çalışan Mücahit , Olgun Nevzat , Chate Ganesh , Bharath Kurki
Published: October 2024

This paper systematically explores the applications of image processing techniques in machined surface analysis, a critical area in industries like manufacturing, aerospace, automotive, and healthcare. It examines the integration of image processing in traditional Computer Numerical Control (CNC) machining and micromachining, focusing on its role in tool wear analysis, workpiece detection, automatic CNC programming, and defect inspection. With AI and machine learning advancements, these technologies enhance defect detection, surface texture analysis, predictive maintenance, and quality optimization. The paper also discusses future advancements in high resolutions, 3D imaging, augmented reality, and Industry 4.0, highlighting their impact on productivity, precision, and challenges such as data privacy. In conclusion, image processing remains vital to improving manufacturing efficiency and quality control.
DAPNet: A Dual-Attention Parallel Network for the Prediction of Ship Fuel Consumption Based on Multi-Source Data
Authors: Li Xinyu , Zuo Yi , Jiang Junhao
Published: October 2024

The precise prediction of ship fuel consumption (SFC) not only serves to enhance energy efficiency to benefit shipping enterprises but also to provide quantitative foundations to aid in carbon emission reduction and ecological environment protection. On the other hand, SFC-related data represent typical multi-source characteristics and heterogeneous features, which lead to several methodological issues (e.g., feature alignment and feature fusion) in SFC prediction. Therefore, this paper proposes a dual-attention parallel network named DAPNet to solve the above issues. Firstly, we design a parallel network structure containing two kinds of long short-term memory (LSTM) and improved temporal convolutional networks (TCNs) for time-series analysis tasks so that different source data can be applied to suitable networks. Secondly, a local attention mechanism is included in each single parallel network so as to improve the ability of feature alignment from different-scale training data. Finally, global attention is employed for the fusion of all parallel networks, which can enrich representation features and simultaneously enhance the performance of SFC prediction. In experiments, DAPNet is compared with 10 methods, including baseline and attention models. The comparison results show that DAPNet and several of its variants obtain the highest accuracy in SFC prediction.
Research on Navigation Risk Assessment of Unmanned Ship Under Complex Navigation Conditions
Authors: Zhang Wenjun , Liu Zihao , Ma Xiaoxue
Published: October 2024

With the research on unmanned ships conducted by the International Maritime Organization, the European Union and China, the navigation risk of unmanned ships has become a hot topic around the world. Based on the research and development history and current situation of unmanned ships at home and abroad, focusing on the three key elements of “Unmanned Ship, shore-based control personnel, external navigation environment”, this study establishes a navigation risk index system for unmanned ships under complex navigation conditions, considering the particularity of the unmanned ship, its perception ability, environmental understanding, situation judgment, communication ability and other indicators. The analytic hierarchy process is used to solve the weight of all kinds of navigation risk factors, and a consistency test of the established index system is carried out. Through expert investigation, the fuzzy membership set of risk indexes is established, and a fuzzy comprehensive evaluation model is established to evaluate the navigation risk of unmanned ships under complex navigation conditions. To avoid the situation of single-factor information being inundated, this study adopts the method of fuzzy comprehensive evaluation from a low level to a high level, and it verifies the algorithm through cases, which proves the validity and rationality of the proposed risk assessment method.
Improving O&M Simulations by Integrating Vessel Motions for Floating Wind Farms
Authors: Dighe Vinit V. , Huang Lu-Jan , Montfort Jaume Hernandez , Serraris Jorrit-Jan
Published: October 2024

This study presents an integrated methodology for evaluating operations and maintenance (O&M) costs for floating offshore wind turbines (FOWTs), incorporating vessel motion dynamics. By combining UWiSE, a discrete-event simulation tool, with SafeTrans, a voyage simulation software, vessel motion effects during offshore operations are modeled. The approach is demonstrated in a case study at two wind farm sites, Marram Wind and Celtic Sea C. Three major component replacement (MCR) strategies were assessed: Tow-to-Port (T2P), Floating-to-Floating (FTF), and Self-Hoisting Crane (SHC). The T2P strategy yielded the highest O&M costs—94 kEUR/MW/year at Marram Wind and 97 kEUR/MW/year at Celtic Sea C—due to the extended MCR durations (90–180 days), leading to lower availability (90–94%). In contrast, the FTF and SHC strategies offered significantly lower costs and downtime. The SHC strategy was most cost-effective, reducing costs by up to 64% while achieving 97–98% availability. The integrated approach was found to be either more restrictive or more permissive depending on the specific sea states influencing the motion responses. This variability highlights the critical role of motion-based dynamics in promoting safe and efficient O&M practices, particularly for advancing FOWT operations.
Effects of Connecting Structures in Double-Hulled Water-Filled Cylindrical Shells on Shock Wave Propagation and the Structural Response to Underwater Explosion
Authors: Yin Caiyu , Lei Zhiyang , Jin Zeyu , Shi Zifeng
Published: October 2024

In conventional double-hulled submarines, the connecting structures that facilitate the linkage between the two hulls are crucial for load transmission. This paper aims to elucidate the effect of these connecting structures on resistance to shock waves generated by underwater explosions. Firstly, a self-developed numerical solver is built for the one-dimensional water-filled elastically connected double-layer plate model. The shock wave propagation characteristics, shock response of structure, water cavitation, and impact loads transmitted through the gap water and the connecting structures are analyzed quantitatively. The results reveal that the majority of the shock impulse is transmitted by the gap water if the equivalent stiffness of the connecting structures is much less than that of the gap water. Then, a three-dimensional model of the double-hulled, water-filled cylindrical shell is constructed in Abaqus/Explicit, utilizing the acoustic-structural coupling methodology. The analysis focuses on the influence of the thickness and density distribution of the connecting structures on the system’s shock response. The results indicate that a densely arranged connecting structure results in a wavy deformation of the outer hull and a notable reduction in both the impact response and strain energy of the inner hull. When the stiffness of the densely arranged connecting structure is comparatively low, the internal energy and plastic energy of the inner hull are decreased by 16.5% and 24.1%, respectively. The findings of this research are useful for assessing shock resistance and for the design of connecting structures within conventional double-hulled submarines.
The Role of Technological Readiness in Enhancing the Quality of Audit Work: Evidence from an Emerging Market
Authors: Ali Mohamed Ali Shabeeb , Elshaer Ibrahim A. , Montash Abdelhameed A. , Metwally Abdelmoneim Bahyeldin Mohamed
Published: October 2024

This study examines the impact of remote audit quality (RAQ) on the quality of audit work (QAW). Further, it explores the moderating effect of both client technological readiness (CLTR) and auditor technology readiness (ADTR) on the link between RAQ and QAW. Data were collected through a questionnaire survey distributed to all external auditors working in Egypt. The final sample consists of 280 auditors. The data were analyzed with smart partial least squares (Smart-PLS) software. The results showed that RAQ has a positive and significant impact on QAW. Moreover, the results revealed that CLTR and ADTR moderate the relationship between RAQ and QAW. CLTR was found to have a positive moderating role, as CLTR was found to strengthen the relationship between RAQ and QAW, while ADTR was found to have a negative moderating role, as ADTR was found to weaken the relationship between RAQ and QAW. The findings can provide a pivotal yardstick for guiding companies, auditing firms, auditing professional bodies, and regulators in the Egyptian context. Positioned as one of the early studies to concentrate on the moderating role of CLTR and ADTR in the relationship between RAQ and QAW, this research suggests insights within an emerging market context.
The Current Scenario of Farmland Abandonment in China: A Systematic Review
Authors: Lin Qiaowen , Sammonds Peter , Xu Mengxin , Zhu Zhe , Cao Yu
Published: October 2024

The significant expansion of farmland abandonment not only poses a threat to agricultural sustainability, but also challenges biodiversity conservation and food security. This study aims to initiate a deep systematic analysis of the current scenario of Chinese farmland abandonment, which is timely and urgent as a starting point to fully understand the current state of knowledge of it. In total, 181 articles out of 5384 articles through four databases (CNKI, Web of Science core collection, Scopus, and CAB Abstracts) are extracted and synthesized by the PRISMA method. A total of 12 experts from 11 countries with specialized knowledge in the research field are interviewed. It is found that farmland abandonment in East China is the most frequently reported, which is followed by the Southwest. The research focus in China has shifted from mountainous areas to agricultural and pastoral areas and major grain-producing areas. Chinese farmland abandonment is defined principally from the perspective of the managerial approach. An inventory that categorizes these different drivers of farmland abandonment is built, which includes socio-economic aspects, biophysical attributes, policy, household characteristics, and specific events. Socio-economic aspects, especially off-farm employment, are the most commonly studied factors. Meanwhile, the aging of the population is also noteworthy. Different trajectories should be applied accordingly due to the significant differences between North and South China. Furthermore, there is an optimistic attitude towards the ecological impact of abandoned farmland in China. However, more evidence should be given on it. Those findings will hopefully provide some insights for the scientific community and policy makers.
Integrated Assessment and Agricultural Planning in Selenium-Rich Hilly Soils: A Case Study on Land Use, Heavy Metal Contamination, and Nutrient Element Distribution
Authors: Yang Jianzhou , Li Kai , Gao Jianweng , Wang Zhenliang , Gong Jingjing , Hu Shuqi , Zhang Qiang , Duan Zhuang , Li Yong
Published: October 2024

The strategic development of selenium-enriched soil cultivation is essential for effective agricultural land management. This research explores the sustainable utilization of selenium-rich soils in Qiongzhong County, Hainan Island. An extensive evaluation was conducted on 7266 surface soil samples, assessing the selenium concentrations, nutrient levels, heavy metals, pH values, and soil organic matter (SOM). In addition, analyses of 70 samples for organochlorine compounds and PAHs were performed. The results indicated average selenium content of 0.46 mg/kg, with 55.2% of the samples surpassing the selenium enrichment threshold of 0.4 mg/kg. According to the GB15618-2018 standards, 127 samples (1.75%) showed medium or high chromium-associated risks. No contamination from organochlorine compounds or PAHs was found, including the 16 priority-controlled PAHs with an average concentration of 30.3 µg/kg, confirming the soil’s high quality. The correlation and factor analysis identified surface enrichment as the main factor influencing selenium accumulation, presenting minimal environmental risks. Consequently, three categories of selenium-rich soil were defined: selenium-rich, pollution-free, and high-nutrient selenium-rich soil. Recommendations based on the soil characteristics and existing agricultural practices were made for the cultivation of selenium-rich vegetables, rubber, and nuts. This study lays a foundation for the sustainable management of selenium-rich soils, providing insights for further research and decision-making to optimize these resources, thus promoting environmental protection and agricultural sustainability.
A Multicriteria Decision-Making Approach for Urban Water Features: Ecological Landscape Architecture Evaluation
Authors: Hashemi Sigari Reyhaneh , Panagopoulos Thomas
Published: October 2024

In recent decades, the issues of ecology and environmental sustainability have become a global concern in contemporary urban design. Among various urban elements, water features play a significant role in improving the ecological characteristics of their surrounding environment, especially in hot and arid areas. The aim of this study is to evaluate the ecological characteristics of urban water features comprehensively and quantitatively, which has been overlooked in previous studies, taking their physical characteristics into account. To this end, a multicriteria decision-making method, an analytic network process, was proposed to quantitatively evaluate the ecological characteristics of water features. In this approach, four ecological criteria—microclimate, biodiversity, greenery, and human wellbeing—and ten physical characteristics of water features were considered. Twenty-one experts were asked to complete a questionnaire for pairwise comparisons of all ecological criteria and the influence of physical characteristics. The results showed that vegetation and scale, with the relative influencing values of 0.255 and 0.188, respectively, were identified as the most decisive features influencing ecological criteria. Conversely, texture, with a value 0.023, had the least impact. Moreover, it was shown that water features have the greatest impact on the microclimate compared with other ecological criteria. The results were used to compare water features at the Koohsangi Transregional Park, located in a hot and arid city of Iran. The results of this study lead to a framework that can help urban designers integrate ecological criteria into water feature planning to enhance urban ecology and sustainability.
Isabelline Wheatear (Oenanthe isabellina), a New Species for the Republic of Moldova: A Regional Review of Species Expansion
Authors: Ghilan Mihail , Ajder Vitalie , Ursul Silvia , Baltag Emanuel Ștefan
Published: October 2024

Increasing temperatures due to climate change can favor more thermophilic species, allowing them to expand their territories northward. For the Isabelline Wheatear (Oenanthe isabellina), climate change may facilitate further range expansion as higher temperatures and changing precipitation patterns create more favorable conditions in new areas. The Isabelline Wheatear is a small passerine bird belonging to the Old-World flycatchers. This species’ breeding range extends from temperate southeastern Europe and Asia Minor across arid desert and steppe regions to subtropical northern areas. Its habitat preference includes arid environments characterized by high temperatures, low precipitation, and open spaces. Field observations were collected over four breeding seasons (2021–2024) through the Common Bird Monitoring scheme and occasional observations. Prediction models also incorporated observations from scientific literature and online databases for covering neighboring areas in Ukraine and Romania. Using Maxent species distribution models (SDMs) and all presence locations and bioclimatic variables, predicted modes were built to identify new suitable areas for the Isabelline Wheatear. Most of the predicted range lies close to the Black Sea coast, in southeastern and southwestern Moldova. According to available data, the Isabelline Wheatear inhabits the southern third of Moldova. Fifteen locations have been identified as hosting breeding populations in proper habitats. Until 2021, the Isabelline Wheatear was considered a recent cryptic or overlooked breeding species in Moldova. This is likely due to several factors, including its recent entry into the country’s territory, potentially from two different directions at different times. The new data and predictive models provide valuable insights into the current distribution and future expansion potential of this species, underscoring the dynamic nature of avian responses to climate change.
Human Pluripotent Stem Cell Colony Migration Is Related to Culture Environment and Morphological Phenotype
Authors: Gursky Vitaly V. , Chabina Alina S. , Krasnova Olga A. , Kovaleva Anastasiia A. , Kriger Daria V. , Zadorsky Michail S. , Kozlov Konstantin N. , Neganova Irina E.
Published: October 2024

Human pluripotent stem cells (hPSCs) are an important tool in the field of regenerative medicine due to their ability to differentiate towards all tissues of the adult organism. An important task in the study of hPSCs is to understand the factors that influence the maintenance of pluripotent and clonal characteristics of colonies represented by their morphological phenotype. Such factors include the ability of colonies to migrate during growth. In this work, we measured and analyzed the migration trajectories of hPSC colonies obtained from bright-field images of three cell lines, including induced hPSC lines AD3 and HPCASRi002-A (CaSR) and human embryonic stem cell line H9. To represent the pluripotent status, the colonies were visually phenotyped into two classes having a “good” or “bad” morphological phenotype. As for the migration characteristics, we calculated the colony speed and distance traveled (mobility measures), meandering index (motion persistence measures), outreach ratio (trajectory tortuosity characteristic), as well as the velocity autocorrelation function. The analysis revealed that the discrimination of phenotypes by the migration characteristics depended on both the cell line and growth environment. In particular, when the mTESR1/Matrigel culture environment was used, “good” AD3 colonies demonstrated a higher average migration speed than the “bad” ones. The reverse relationship between average speeds of “good” and “bad” colonies was found for the H9 line. The CaSR cell line did not show significant differences in the migration speed between the “good” and “bad” phenotypes. We investigated the type of motion exhibited by the colonies by applying two diffusion models to the mean squared displacement dynamics, one model corresponding to normal and the other to anomalous diffusion. The type of diffusion and diffusion parameter values resulting from the model fitting to data demonstrated a similar cell line, environment, and phenotype dependency. Colonies mainly showed a superdiffusive behavior for the mTESR1/Matrigel culture conditions, characterized by longer migration steps compared to the normal random walk. The specific properties of migration features and the patterns of their variation demonstrated in our work can be useful for the development and/or improvement of automated solutions for quality control of hPSCs.
Application of Clifford’s Algebra to Describe the Early Universe
Authors: Lev Bohdan
Published: October 2024

This article is a shortened review of previous results obtained by the author. The advantages of describing the geometric nature of the physical properties of the early universe using the Clifford algebra approach are demonstrated. A geometric representation of the wave function of the early universe is used, and a new mechanism of spontaneous symmetry breaking with different degrees of freedom is proposed. A possible supersymmetry is revealed, and it is shown that the energy of the initial vacuum can be considered equal to zero. The origin of baryonic asymmetry and the nature of dark matter can be explained using a geometric representation of the wave function of the early universe.
An Improved Non-Monotonic Adaptive Trust Region Algorithm for Unconstrained Optimization
Authors: Xu Mingming , Zhu Quanxin , Xiao Hongying
Published: October 2024

The trust region method is an effective method for solving unconstrained optimization problems. Incorrectly updating the rules of the trust region radius will increase the number of iterations and affect the calculation efficiency. In order to obtain an effective radius for the trust region, an adaptive radius updating criterion is proposed based on the gradient of the current iteration point and the eigenvalue of the Hessian matrix which avoids calculating the inverse of the Hessian matrix during radius updating. This approach reduces the computation time and enhances the algorithm’s performance. On this basis, we apply adaptive radius and non-monotonic techniques to the trust region algorithm and propose an improved non-monotonic adaptive trust region algorithm. Under proper assumptions, the convergence of the algorithm is analyzed. Numerical experiments confirm that the suggested algorithm is effective.
Analysis of Neutral Implicit Stochastic Hilfer Fractional Differential Equation Involving Lévy Noise with Retarded and Advanced Arguments
Authors: Khalil Hamza , Zada Akbar , Rhaima Mohamed , Popa Ioan-Lucian
Published: October 2024

This paper investigates the qualitative properties of the solutions for neutral implicit stochastic Hilfer fractional differential equations involving Lévy noise with retarded and advanced arguments. The existence property of the solution of the aforementioned equation is demonstrated by the Mónch condition, and the uniqueness is demonstrated by the remarkable fixed point of Banach. In addition, we examine the Hyers–Ulam (HU) stability of the presented mathematical models. To substantiate our theoretical conclusions, a real-world example is included to illustrate their practical application.
Dominion on Grids
Authors: Su Jianning , Allagan Julian , Gao Shanzhen , Malomo Olumide , Gao Weizheng , Eyob Ephrem
Published: October 2024

The domination (number) of a graph G=(V,E), denoted by γ(G), is the size of the minimum dominating sets of V(G), also known as γ-sets. As such, the dominion of G, denoted by ζ(G), counts all its γ-sets. We proved a conjecture from one of the authors on the dominion of cycles C3k−1 and C3k−2, k≥2. Further, we found the formulae and recurrence relations for the dominions of several grids, Gm,n, with 2≤m≤4 and other results when m≤9 and n≤20. In general, domination and dominion play important roles in assessing certain vulnerabilities of any given network system.