bluuebunny/crossref_metadata_2025 huggingface dataset:
A Comprehensive Analysis of Genioplasty in Facial Feminization Surgery: A Systematic Review and Institutional Cohort Study
Authors: Gursky Alexis K. , Chinta Sachin R. , Wyatt Hailey P. , Belisario Maxwell N. , Shah Alay R. , Kantar Rami S. , Rodriguez Eduardo D.
Published: December 2024

Background: Facial feminization surgery (FFS) is critical to gender-affirming surgery, consisting of craniomaxillofacial procedures to align facial features with a patient’s gender identity. Central to FFS is genioplasty, which reshapes or repositions the chin; however, limited research exists on genioplasty in FFS. This review and cohort analysis aim to evaluate current practices and outcomes for individuals undergoing FFS with genioplasty. Methods: A systematic review included transfeminine individuals undergoing FFS with genioplasty. A retrospective study reviewed FFS cases with genioplasty between 2017 and 2024. Data collected included demographics, imaging, virtual surgical planning (VSP), complications, and patient-reported outcomes (PROs). Results: The review included 12 studies with 1417 patients, with 34.2% undergoing genioplasty. The mean age was 37.3 years, and 60.1% were White. Preoperative imaging and VSP were used in 66.7% of studies, 3D-printed cutting guides in 37.5%, and 3D reconstruction in 75.0%. Reduction genioplasty was the most common technique. All PROs indicated high satisfaction, with a 2.67% revision rate. Complications were low (0.55%), with infections being most frequent (0.48%). In the institutional cohort, 351 patients underwent FFS, with 64.4% undergoing genioplasty, significantly higher than in the review (p < 0.001). Sliding genioplasty was preferred without preoperative imaging or VSP. Postoperative dissatisfaction was 3.54%, with 0.88% requiring revision (p = 0.063). Complication rates (1.77%) were similar to those of the review (p = 0.065). Conclusions: Genioplasty is important in FFS, with low complication and revision rates and high patient satisfaction. However, gaps remain in validated PROs and technique-specific outcomes. While preoperative imaging and VSP show benefits, comparable outcomes are achievable without them.
Size Matters: Predicting Surgical Site Infection After Whole Breast Radiotherapy in the Era of Hypofractionation
Authors: Lee Sea-Won , Kim Yeong Ji , Song Jae Won , Yu Mina , Rhu Jiyoung , Paik Pill Sun , Kim Yong Hyuk , Lee Yun Hee
Published: December 2024

Objectives: Few studies have analyzed surgical site infections associated with hypofractionated RT. The purpose of this study was to identify risk factors for surgical site infections with a particular focus on volumetric parameters that reflect the size of the volumes treated, including tumors, surgical cavities, and breasts. Methods: A total of 145 early breast cancer patients who were surgically staged 0—II undergoing hypofractionated RT on the whole breast were retrospectively reviewed. Tumor size (cm) was measured from surgical pathology. Surgical cavity volume (cc) and breast volume (cc) were calculated by segmenting each axial slice of simulation CT. The cavity-to-breast ratio (%) was calculated as surgical cavity volume/breast volume × 100. Results: The incidence of surgical site infection was 4.8% at a median of 6.3 months after the completion of RT. In univariate analysis, tumor size (OR 2.01, p = 0.025), surgical cavity volume (OR 1.03, p = 0.013), cavity-to-breast ratio (OR 1.29, p = 0.005), and BMI (OR 1.23, p = 0.014) were significantly associated with surgical site infection. In multivariate analysis, the cavity-to-breast ratio (OR 1.24, p = 0.039) remained significantly associated with surgical site infection. Conclusions: This study highlights the importance of volumetric parameters, specifically the cavity-to-breast ratio, as significant predictors of surgical site infection in a pure cohort of early breast cancer patients undergoing breast-conserving surgery and hypofractionated RT. Tailored approaches, including the use of prophylactic antibiotics, prophylactic aspiration, and close follow-up, may reduce the morbidity associated with surgical site infection and prevent the potential compromise of tumor outcomes.
Decreased Physical Activity and Endurance Capacity in Patients Qualified for Haematopoietic Stem Cell Transplantation (HSCT)
Authors: Chmielewski Michał , Szeremet Agnieszka , Stefańska Małgorzata , Jabłonowska-Babij Paula , Majcherek Maciej , Czyż Anna , Wróbel Tomasz , Malicka Iwona
Published: December 2024

Background: Haematological malignancies and their treatment regimens often lead to various complications that impair patients’ physical functioning. This study aimed to assess the level of physical activity and exercise capacity in patients with haematological malignancies who were qualified for haematopoietic stem cell transplantation (HSCT). Methods: A prospective, single-centre study was conducted on patients with haematological malignancies qualified for HSCT (study group, n = 103) and a cohort of healthy volunteers (reference group, n = 100). The assessment protocol included the International Physical Activity Questionnaire (IPAQ) and the 6-Minute Walk Test (6MWT). Results: The median age was 57 years in the study group and 56 years in the reference group. In the IPAQ assessment, at least 50% of the study group reported no engagement in moderate or intense physical activity. In the 6MWT, the study group demonstrated a significantly shorter walking distance compared to the reference group (p < 0.0001). Factors such as group membership (study vs. reference group), age, gender, and body mass index (BMI) were found to have a significant impact on 6MWT performance. No significant differences were observed in IPAQ or 6MWT results among subgroups within the study group when categorized by diagnosis. Conclusions: Patients with haematological malignancies who qualified for HSCT often show physical activity levels below recommended standards, which can negatively impact their ability to endure physical exertion. Insufficient activity prior to transplantation may contribute to reduced exercise capacity. Therefore, prehabilitation programmes aimed at improving physical activity and structured exercise should be an integral part of their care.
A Comparative Analysis of the Effects of Misaligning Different Trifocal Intraocular Lenses
Authors: Yan Weijia , Auffarth Gerd U. , Khoramnia Ramin , Łabuz Grzegorz
Published: December 2024

Objectives: This laboratory study aims to assess the effects of misaligning different trifocal intraocular lenses (IOLs) under varying spectral and corneal spherical aberration (SA) conditions. Methods: With an IOL metrology device under monochromatic and polychromatic conditions, the following models were studied: AT ELANA 841P, AT LISA Tri 839MP, FineVision HP POD F, Acrysof IQ PanOptix, and Tecnis Synergy ZFR00V. The SA was simulated using an aberration-free and average-SA cornea. The modulation transfer function (MTF) was measured at different pupil sizes for the on- and off-axis lens positions. Results: The IOLs exhibited varying responses to decentration up to 1 mm, showing the lowest impact in polychromatic light. The least affected was AT ELANA, with an MTF loss of 15.7% to 28.4% at 50 lp/mm across the studied conditions. It was followed by PanOptix and FineVision, with the MTF loss ranging from 19.1% to 36.0% and from 21.2% to 46.6%. AT LISA showed a more substantial reduction, i.e., 41.2% to 64.8%, but it was still lower than that of Synergy (51.1% to 78.8%). When decentration was induced at a 4.5 mm distance, its effect was more evident in conditions that were closer to each IOL’s SA correction. A tilt of 5° had a lesser impact than 1 mm decentration, with the effect being more severe at 4.5 mm. Conclusions: The off-axis position affects the optical quality of trifocal IOLs. Low- rather than high-SA-correcting trifocals perform better under misalignment. In polychromatic light, the impact of misalignment is less evident, suggesting a potential mitigating effect of chromatic aberration.
Cutaneous Adverse Drug Reactions Associated with SGLT2 Inhibitors
Authors: Mederle Alexandra Laura , Dumitrescu Patrick , Borza Claudia , Kundnani Nilima Rajpal
Published: December 2024

Diabetes is a complex global healthcare burden involving multiple organ systems with its prevalence on the rise. SGLT2 inhibitors enhance glucose excretion. The objective of our literature review was to determine the association between cutaneous adverse drug reactions (CADRs) and the use of SGLT2 inhibitors. We collected data on CADRs related to the use of SGLT2 inhibitors from all available published articles and studied their details to understand the patterns of their association. PubMed, Cochrane, Google, and Embase were searched for relevant articles. A total of 37 papers were included and studied. Most articles were case reports followed by pharmacovigilance studies, case series, and reviews. The cutaneous findings ranged from benign eruptions to severe reactions. The available literature suggests a strong link between the use of SGLT2 inhibitors and Fournier’s gangrene/necrotizing fasciitis. T2DM patients using SGLT2 inhibitors have also developed fixed drug eruptions, drug-induced pruritus, and Sweet syndrome/acute febrile neutrophilic dermatosis, among other skin lesions. We found that SGLT2 inhibitors present a risk of developing CADRs. Raising awareness among healthcare providers regarding CADRs to SGLT2 inhibitors can reduce complications, minimize hospitalizations, and improve patient care in the vulnerable population of diabetes patients.
Autoimmune Thyroid Disease and Pregnancy: The Interaction Between Genetics, Epigenetics and Environmental Factors
Authors: Bogović Crnčić Tatjana , Ćurko-Cofek Božena , Batičić Lara , Girotto Neva , Tomaš Maja Ilić , Kršek Antea , Krištofić Ines , Štimac Tea , Perić Ivona , Sotošek Vlatka , Klobučar Sanja
Published: December 2024

Autoimmune thyroid disease (AITD) is the leading cause of thyroid dysfunction globally, characterized primarily by two distinct clinical manifestations: Hashimoto’s thyroiditis (HT) and Graves’ disease (GD). The prevalence of AITD is approximately twice as high in women compared to men, with a particularly pronounced risk during the reproductive years. Pregnancy exerts profound effects on thyroid physiology and immune regulation due to hormonal fluctuations and immune adaptations aimed at fostering maternal–fetal tolerance, potentially triggering or exacerbating AITD. The impact of AITD on pregnancy outcomes is multifaceted. Both HT and GD have been associated with adverse obstetric and neonatal outcomes, including miscarriage, preterm delivery, preeclampsia and fetal growth restriction. Inadequately managed AITD can also affect fetal neurodevelopment due to disrupted maternal thyroid hormone availability during critical periods of brain maturation. This review explores the complex interplay between the genetic, epigenetic and environmental factors that drive AITD during pregnancy, highlighting their roles in disease development and impacts on pregnancy outcomes. Gaining a deeper understanding of these mechanisms is crucial for improving diagnostic tools, treatment options and preventive measures to enhance the health and well-being of both the mother and the newborn.
Elderly Prostate Cancer Patients Treated with Robotic Surgery Are More Likely to Harbor Adverse Pathology Features and Experience Disease Progression: Analysis of the Prognostic Impact of Adverse Pathology Risk Score Patterns Using Briganti’s 2012 Nomogram and EAU Risk Groups
Authors: Porcaro Antonio Benito , Serafin Emanuele , Montanaro Francesca , Costantino Sonia , De Bon Lorenzo , Baielli Alberto , Artoni Francesco , Roggero Luca , Brancelli Claudio , Boldini Michele , Bianchi Alberto , Veccia Alessandro , Rizzetto Riccardo , Brunelli Matteo , Cerruto Maria Angela , Bertolo Riccardo Giuseppe , Antonelli Alessandro
Published: December 2024

Background/Objectives: Prostate cancer (PCa) is prevalent among men over 70. Treatment may involve interventions like radical prostatectomy. The objective of this study was to investigate the combination of adverse pathology patterns on PCa progression through the Briganti 2012 nomogram and EAU risk classes in elderly patients treated with robotic surgery. Methods: A cohort of 1047 patients treated from January 2013 to December 2021 was categorized as being older if aged 70 or above. The adverse pathology risk scores were ranked from zero to three. These scores were then analyzed for correlations with the Briganti 2012 nomogram via EAU risk groups and for PCa progression. Results: Overall, older age was detected in 287 patients who had higher rates of adverse pathology features combined into a pattern risk score of 3. Within each age group, the adverse pathology risk score patterns were positively predicted by the Briganti 2012 nomogram across EAU prognostic groups. After a median (95% CI) follow-up period of 95 months, PCa progression occurred in 237 patients, of whom 68 were elderly and more likely to progress as adverse pathology patterns increased, particularly for a risk score of 3 (p < 0.0001), which was almost three times higher than that in younger patients (p < 0.0001). Conclusions: Managing PCa in elderly patients is challenging due to their increasing life expectancy. The Briganti 2012 nomogram effectively predicts disease progression in this population. Elderly prostate cancer patients have higher severe pathology rates predicted independently by the Briganti 2012 nomogram, with nearly triple the risk of progression compared to that in younger cases, necessitating tailored treatment approaches.
Blockchain-Based Evidence Trustworthiness System in Certification
Authors: Regueiro Cristina , Urquizu Borja
Published: December 2024

Digital evidence is a critical component in today’s organizations, as it is the foundation on which any certification is based. This paper presents a risk assessment of evidence in the certification domain to identify the main security risks. To mitigate these risks, it also proposes an adaptation of an existing Blockchain-based audit trail system to create an evidence trustworthiness system enhancing security and usability. This system covers specific additional requirements from auditors: evidence confidentiality and integrity verification automation. The system has been validated with cloud service providers to increase the security of evidence for a cybersecurity certification process. However, it can be also extended to other certification domains.
Special Issue “Working Group in Sports Medicine”
Authors: Musumeci Giuseppe
Published: December 2024

The Special Issue “Working Group in Sports Medicine” has been successfully concluded, offering significant contributions to the growing discourse on sports medicine as a dynamic and interdisciplinary field [...]
Physical Activity and Quality of Life After Distal Femur Tumor Resection and Limb Salvage
Authors: Galanis Dimitra C. , Zafeiris Ioannis , Soukakou Fotini M. , Papagelopoulos Dimitra P. , Gavriil Panayiotis , Trikoupis Ioannis G. , Savvidou Olga D. , Vlasis Konstantinos , Kontogeorgakos Vasileios A. , Papagelopoulos Panayiotis J.
Published: December 2024

Background/Objectives: Distal femur tumor resection with limb salvage is a demanding procedure that offers hope for patients by preserving the limb rather than opting for amputation. While limb salvage can improve both physical function and psychological well-being, there’s limited knowledge on how active patients remain afterward and how their Quality of Life (QoL) is affected, especially regarding physical activities and sports. This study investigates the quality of life of the patients through the development of motor activity, focusing on both physical and sporting activity of the above-mentioned individuals and their physical abilities to participate in activities of daily and sporting life after surgery. Methods: This study involved 16 patients aged 19–47 years who had undergone surgical resection and replacement of the distal femur for the treatment of sarcoma and were selected by random sampling from a total of 72 patients who had undergone a similar procedure. To explore the topic in depth, the researchers followed the triangulation method. From July 2023 to February 2024, we used surveys and interviews to explore their physical activity (PA) levels, sports participation, and QoL. This study included the International Physical Activity (PA) Questionnaire (IPAQ), the University of California and Los Angeles (UCLA) Activity Score, and semi-structured interviews. The data were analyzed using the statistical software packages SPSS 25 and Excel. Results: Most participants reported moderate to high levels of PA, according to IPAQ, and continued engaging in sports, with swimming, walking, and stair climbing being the most common activities. No significant relationship was found between their PA levels and factors such as age, BMI, or the side of the affected limb. Interviews showed that patients’ motivation and their surgeon’s guidance played key roles in their return to regular activities, though many exercised less frequently or intensely than recommended. Conclusions: Patients who undergo limb salvage surgery following distal femur tumor removal generally maintain a good level of physical activity, which supports their QoL. Encouraging these patients to stay active and even engage in sports appears feasible, especially when guided by medical professionals. These findings highlight the potential benefits of tailored rehab programs to improve long-term health and QoL in sarcoma survivors, although larger studies are needed for more comprehensive insights.
Geometric Feature Characterization of Apple Trees from 3D LiDAR Point Cloud Data
Authors: Karim Md Rejaul , Ahmed Shahriar , Reza Md Nasim , Lee Kyu-Ho , Sung Joonjea , Chung Sun-Ok
Published: December 2024

The geometric feature characterization of fruit trees plays a role in effective management in orchards. LiDAR (light detection and ranging) technology for object detection enables the rapid and precise evaluation of geometric features. This study aimed to quantify the height, canopy volume, tree spacing, and row spacing in an apple orchard using a three-dimensional (3D) LiDAR sensor. A LiDAR sensor was used to collect 3D point cloud data from the apple orchard. Six samples of apple trees, representing a variety of shapes and sizes, were selected for data collection and validation. Commercial software and the python programming language were utilized to process the collected data. The data processing steps involved data conversion, radius outlier removal, voxel grid downsampling, denoising through filtering and erroneous points, segmentation of the region of interest (ROI), clustering using the density-based spatial clustering (DBSCAN) algorithm, data transformation, and the removal of ground points. Accuracy was assessed by comparing the estimated outputs from the point cloud with the corresponding measured values. The sensor-estimated and measured tree heights were 3.05 ± 0.34 m and 3.13 ± 0.33 m, respectively, with a mean absolute error (MAE) of 0.08 m, a root mean squared error (RMSE) of 0.09 m, a linear coefficient of determination (r2) of 0.98, a confidence interval (CI) of −0.14 to −0.02 m, and a high concordance correlation coefficient (CCC) of 0.96, indicating strong agreement and high accuracy. The sensor-estimated and measured canopy volumes were 13.76 ± 2.46 m3 and 14.09 ± 2.10 m3, respectively, with an MAE of 0.57 m3, an RMSE of 0.61 m3, an r2 value of 0.97, and a CI of −0.92 to 0.26, demonstrating high precision. For tree and row spacing, the sensor-estimated distances and measured distances were 3.04 ± 0.17 and 3.18 ± 0.24 m, and 3.35 ± 0.08 and 3.40 ± 0.05 m, respectively, with RMSE and r2 values of 0.12 m and 0.92 for tree spacing, and 0.07 m and 0.94 for row spacing, respectively. The MAE and CI values were 0.09 m, 0.05 m, and −0.18 for tree spacing and 0.01, −0.1, and 0.002 for row spacing, respectively. Although minor differences were observed, the sensor estimates were efficient, though specific measurements require further refinement. The results are based on a limited dataset of six measured values, providing initial insights into geometric feature characterization performance. However, a larger dataset would offer a more reliable accuracy assessment. The small sample size (six apple trees) limits the generalizability of the findings and necessitates caution in interpreting the results. Future studies should incorporate a broader and more diverse dataset to validate and refine the characterization, enhancing management practices in apple orchards.
Exploring Multi-Pathology Brain Segmentation: From Volume-Based to Component-Based Deep Learning Analysis
Authors: Stathopoulos Ioannis , Stoklasa Roman , Kouri Maria Anthi , Velonakis Georgios , Karavasilis Efstratios , Efstathopoulos Efstathios , Serio Luigi
Published: December 2024

Detection and segmentation of brain abnormalities using Magnetic Resonance Imaging (MRI) is an important task that, nowadays, the role of AI algorithms as supporting tools is well established both at the research and clinical-production level. While the performance of the state-of-the-art models is increasing, reaching radiologists and other experts’ accuracy levels in many cases, there is still a lot of research needed on the direction of in-depth and transparent evaluation of the correct results and failures, especially in relation to important aspects of the radiological practice: abnormality position, intensity level, and volume. In this work, we focus on the analysis of the segmentation results of a pre-trained U-net model trained and validated on brain MRI examinations containing four different pathologies: Tumors, Strokes, Multiple Sclerosis (MS), and White Matter Hyperintensities (WMH). We present the segmentation results for both the whole abnormal volume and for each abnormal component inside the examinations of the validation set. In the first case, a dice score coefficient (DSC), sensitivity, and precision of 0.76, 0.78, and 0.82, respectively, were found, while in the second case the model detected and segmented correct (True positives) the 48.8% (DSC ≥ 0.5) of abnormal components, partially correct the 27.1% (0.05 > DSC > 0.5), and missed (False Negatives) the 24.1%, while it produced 25.1% False Positives. Finally, we present an extended analysis between the True positives, False Negatives, and False positives versus their position inside the brain, their intensity at three MRI modalities (FLAIR, T2, and T1ce) and their volume.
Reading Comprehension in Older Adults—Effects of Age, Educational Level, and Reading Habits
Authors: Riffo Bernardo , Rojas Carlos , Helo Andrea , Véliz Mónica , Urzúa Paula , Gutierrez Gloria , Guerra Ernesto
Published: December 2024

Older adults in the third-age group (60–79 years) maintain reading comprehension skills similar to those of younger adults, but little is known about individuals in the fourth age (80+ years). This study investigates differences in reading comprehension in a between-group design. We evaluated a sample of 150 older adults, comprising 86 third-age and 64 fourth-age participants. We examined the influence of sex, cognitive functioning, formal education, self-perceived reading difficulties, and reading habits on their text comprehension abilities. The results show that fourth-age adults have a significant decline in reading comprehension compared to third-age adults. Strong reading habits were positively associated with better comprehension across both groups, suggesting that regular reading may buffer against age-related cognitive decline. Poor readers read less frequently and perceived greater difficulty with the tasks. Cognitive functioning and education did not significantly influence comprehension—possibly due to the generally low education levels in the sample. However, strong reading habits appeared to compensate for these limitations. These findings suggest a potential protective role of lifelong reading habits and highlight the need for interventions to support reading skills in older adults, especially those with lower educational backgrounds. Future research should explore these dynamics further to enhance cognitive resilience in the oldest populations.
Response of Subsurface Chlorophyll Maximum Depth to Evolution of Mesoscale Eddies in Kuroshio–Oyashio Confluence Region
Authors: Chuang Ziwei , Zhang Chunling , Fan Jiahui , Yang Huangxin
Published: December 2024

The subsurface chlorophyll maximum depth (SCMD) is an indicator of the spatial activity of marine organisms and changes in the ecological environment. Ubiquitous mesoscale eddies are among the important factors regulating the Kuroshio–Oyashio confluence region. In this study, we use satellite altimeter observations and high-resolution reanalysis data to explore seasonal variations in the SCMD and its responses to different types of eddies based on methods of composite averaging and normalization. The results show that variations in the SCMD induced by the evolution of the eddies were prominent in the summer and autumn. The monopoles of the SCMD exhibited internally shallow and externally deep features in the cyclonic eddies (CEs), while the contrary trend was observed in the anticyclonic eddies (ACEs). The SCMD was positively correlated with the intensity of the eddies and sea surface temperature, and was negatively correlated with the depth of the mixed layer. These correlations were more pronounced in the CEs (summer) and ACEs (autumn). Both the CEs and ACEs prompted the westward transport of chlorophyll-a (Chl-A), where ACEs transported it over a longer distance than the CEs.
Accelerated Warming and Salinification of the Mediterranean Sea: Implications for Dense Water Formation
Authors: Skliris Nikolaos , Marsh Robert , Breedon Matthew , Josey Simon A.
Published: December 2024

Trends in the air–sea freshwater and heat fluxes and hydrographic properties of the Mediterranean Sea are investigated to assess changes in dense water formation over 1979–2023 and 2004–2023. Results show a strong annual evaporation increase that has accelerated over the last two decades following the higher warming rate. Positive trends in winter latent heat flux (LHF) were obtained over 1979–2023 in most of the East Mediterranean, driving an increase in both the ocean heat loss and the haline component of the surface density flux, but there were no significant long-term trends over the western basin and the dense water formation sites. Results show much larger trends over 2004–2023 when a broadscale decrease in sensible heat flux (SHF) is obtained over the western basin as the air temperature is increasing much faster than SST. Decreasing (increasing) LHF and SHF resulted in largely reduced (enhanced) ocean heat loss during winter in the Gulf of Lions (Aegean Sea) over 2004–2023. Robust positive trends are obtained for both the salinity and temperature fields throughout the basin, with accelerated warming and salinification rates after the 2000s. Deep waters have become warmer but also much saltier and denser over recent decades. A water mass transformation method is also used to investigate changes in volumetric distribution in temperature/salinity/density and T/S space. Results suggest that salinification over the last 45 years may have strongly enhanced salt preconditioning in all major dense water formation sites, sustaining or even increasing deep water formation despite the increasingly warming climate.
Environmental Assessment Using Phytoplankton Diversity, Nutrients, Chlorophyll-a, and Trophic Status Along Southern Coast of Jeddah, Red Sea
Authors: Al-Mur Bandar A.
Published: December 2024

The objective of this study is to better identify the state of eutrophication of coastal waters along the southern coast of the city of Jeddah in the Red Sea. Thirty-six samples from surface seawater were collected during the spring and autumn of 2021. Water temperature, pH, salinity, dissolved oxygen (DO), nutrients, and chlorophyll-a (Chl-a) content were examined as a guide of water quality indicators. The present data revealed low levels of Chl-a content (in the range of 0.11–0.24 µg L−1). The average concentrations of DIN (dissolved inorganic nitrogen) forms follow the order NO3-N > NH4-N ~ NO2-N (representing about 11.4–29.4% of the total nitrogen). To investigate the trophic status and water quality, numerical indicators were applied to the results of the analysis of chemical variables (NH4-N, NO3-N, and PO4-P) and the biological analysis (Chl-a) in the aqueous environment within the study area. These indicators are simplified based on the specialist, the non-specialist, the decision-maker, and the one responsible for managing the coastal areas. We also obtain through this method a single numerical value that expresses the state of the coastal waters. According to the analysis of phosphorus and nitrogen data and a trophic index (TRIX), the study area’s trophic status was determined as oligotrophic, due to low nutrient concentrations in the seawater. The current study identified a total of 58 species of phytoplankton comprised four classes in the investigated areas; Bacillariophyceae was the dominant algal class (Diatoms 30 species), followed by Chlorophyceae (9 species), Dinophyceae (11 species), and Cyanophyceae (8 species). Seasonally, spring recorded the highest value of total phytoplankton, recording a value of 251 × 103 cells/L with a percentage of 61%, while autumn recorded the lowest value of 186 × 103 cells/L with a percentage of 39%. Phytoplankton classes can be arranged in order of prevalence as follows: Bacillariophyceae >> Dinophyceae > Chlorophyceae > Cyanophyceae.
Dynamic Analysis of Support Bracket of the Oceanic Bridge Fabrication Machine (Movable Formwork)
Authors: Zhou Zongshuai , Shangguan Linjian
Published: December 2024

This study aims to evaluate the vibration and response performance of the core component support bracket in the DXZ32/900 oceanic bridge fabrication machine (movable formwork) to provide a foundation for its structural optimization. A finite element model of the support bracket is established, and three analyses are conducted: modal analysis to determine inherent frequencies and vibration modes, harmonic response analysis to evaluate steady-state behavior under sinusoidal loads, and transient dynamic analysis to assess displacement responses to dynamic loads. The frequency distribution indicates that the natural frequencies are densely packed without abrupt jumps, reflecting the complexity of the dynamic performance of the support bracket. Moreover, frequencies below the fourth order exhibit minimal deformation and limited impact on the overall dynamics. Sensitivity analysis is conducted to evaluate the impact of sectional parameter optimization on material efficiency and dynamic performance, ensuring robust design improvements. In summary, the findings reveal key vibration characteristics and response patterns, providing theoretical insights to guide the improvement of the support bracket and ensure the safety and efficiency of the bridge fabrication machine.
Effects of Stocking Density on Fatty Acid and Amino Acid Composition in Muscle, Serum Cortisol, Stress and Immune Response in Large Yellow Croaker (Larimichthys crocea)
Authors: Yu Youbin , Wang Liang , Huang Wenyun , Yu Duo , Sun Qiaoxuan , Cui Mingcao
Published: December 2024

To explore the effect of density on large yellow croaker (Larimichthys crocea) under intensive aquaculture conditions and determine the appropriate culturing density, this study investigate the effects of different stocking densities on the nutritional composition, stress, and immune levels of large yellow croaker. Through a long-term aquaculture experiment, conducted under flow-through conditions of intensive aquaculture, three initial density groups were set: a low density group [LD], 4.92 kg/m3; a medium density group [MD], 7.56 kg/m3; and a high density group [HD], 10.08 kg/m3, for a 150-day rearing trial. Large yellow croaker were fed to satiation twice daily (6:00, 17:00). At the end of this trial, the final densities were 10.38 ± 0.50, 14.41 ± 1.06, and 18.71 ± 0.99 kg/m3 in the LD, MD, and HD groups, respectively. The results showed that the growth performances were adversely influenced by a high stocking density. Levels of cortisol in serum, superoxide dismutase (SOD) and catalase (CAT) in liver, Na+-K+ ATPase and Na+-K+ ATPase gene in gills, and heat shock protein (HSP70/90) genes and glutathione S-transferase (GST) genes in the liver significantly increased under HD treatment. Results of immune response analyses showed that there was a clear decrease in immunoglobulin M (IgM), complement component 4 (C4), and lysozyme (LZM) in serum, lysozyme (LZM) genes, tumor necrosis factor-alpha (TNF-α) genes and interleukin-1β (IL-1β) genes in the head kidney of large yellow croakers reared in the HD group. An obvious increase in free amino acids and fatty acids in the muscle of large yellow croakers reared in HD group was also observed. Overall, this study showed that the optimal final culturing density of large yellow croaker under flow-through systems should be between 14.41 kg/m3 and 18.71 kg/m3 to improve aquaculture efficiency and product quality.
A Decomposed-Ensemble Prediction Framework for Gate-In Operations at Container Terminals
Authors: Shen Yifan , Xuan Beng , Hu Hongtao , Wu Yansong , Zhao Ning , Yang Zhen
Published: December 2024

Container terminals play a crucial role in global logistics and trade, with gate-in operations significantly impacting overall terminal efficiency and cargo turnover speed. This paper analyzes a series of problems caused by the randomness of the arrival of export containers at the container yard, including wastage of yard space, excessive waiting time for external trucks, and conflicts with other production operations. To address these issues, a method based on a decomposed ensemble framework is proposed to predict short-term container quantities for gate-in operations at container terminal gates. The experiment compares the autoregressive integrated moving average (ARIMA) algorithm, the prophet algorithm, and the Long Short-Term Memory (LSTM) algorithm, with results indicating the clear advantage of Long Short-Term Memory in decomposed time series modeling. The introduction of this method is expected to enhance the accuracy and flexibility of terminal production planning, optimizing resource utilization. Contributions of this paper include the proposal of predictive models, a shipping route-based decomposed-ensemble framework, and confirmation of the superiority of Long Short-Term Memory in prediction through comparative analysis. These contributions are expected to improve terminal operational efficiency, reduce resource wastage, and better adapt to the highly stochastic gate-in operation environment.
An Improved MG Model for Turbulent Mixing Parameterization in the Northwestern South China Sea
Authors: Hu Minghao , Xie Lingling , Li Mingming , Zheng Quanan , Zeng Feihong , Chen Xiaotong
Published: December 2024

Using in situ microstructure observations from 2010 to 2018, this study assesses the applicability of turbulent mixing parameterization schemes in the northwestern South China Sea (NSCS) and improves the MG model proposed by MacKinnon and Gregg in 2003 using machine learning methods. The results show that the estimation error of the MG model is still more than one order of magnitude in the NSCS. Also, the importance of parameters obtained from machine learning indicates that the normalized depth (D) is one of the most relevant parameters to the turbulent kinetic energy dissipation rate ε. Therefore, in this study, D is introduced into the MG model to obtain an improved MG model (IMG). The IMG model has an average correlation (r) between the estimated and observed log10ε of 0.79, which is at least 49% higher than the MG model, and an average root mean square error (RMSE) of 0.25, which is at least 42% lower than that of the MG model. The IMG model accurately estimates the multi-year turbulent mixing observed in the NSCS, including before and after tropical cyclone passages. This provides a new perspective to study the physical principles and spatial and temporal distribution of turbulent mixing.
BiST-SA-LSTM: A Deep Learning Framework for End-to-End Prediction of Mesoscale Eddy Distribution in Ocean
Authors: Chen Yaoran , Zhao Zijian , Yang Yaojun , Li Xiaowei , Peng Yan , Wu Hao , Zhou Xi , Zhang Dan , Wei Hongyu
Published: December 2024

Mesoscale eddies play a critical role in sea navigation and route planning, yet traditional prediction methods have often overlooked their spatial relationships, relying on indirect approaches to capture their distribution across extensive maps. To address this limitation, we present BiST-SA-LSTM, an end-to-end prediction framework that combines Bidirectional Spatial Temporal LSTM and Self-Attention mechanisms. Utilizing data sourced from the South China Sea and its surrounding regions, which are renowned for their intricate maritime dynamics, our methodology outperforms similar models across a range of evaluation metrics and visual assessments. This is particularly evident in our ability to provide accurate long-term forecasts that extend for up to 10 days. Furthermore, integrating sea surface variables enhances forecasting accuracy, contributing to advancements in oceanic physics.
Analysis of the Impact of the Russia–Ukraine Conflict on Global Liquefied Natural Gas Shipping Network
Authors: Ke Ranxuan , Wang Xiaoran , Peng Peng
Published: December 2024

The Russia–Ukraine conflict has influenced global LNG shipping patterns; nevertheless, current research about its effects on the nodes and local regions of the LNG shipping network remains insufficient. This study employs a series of network metrics and a robustness evaluation model to examine the evolution in the structure and functionality of the LNG shipping network amid the Russia–Ukraine conflict, integrating LNG vessel origin–destination data from 2021 to 2023 to analyze the network’s structure and robustness. The research indicated that: (1) The alteration in trade relations instigated by the Russia–Ukraine conflict modified global LNG flows, resulting in a fragmented overall network structure and diminished transportation efficiency. The Russia–Ukraine conflict catalyzed the enhancement of European ports, leading to a substantial rise in the significance of premier European ports within the LNG transport network. Significant export ports, such as Ras Laffan, hold substantial importance within the network. (2) Among various assault techniques, degree-based intentional attacks inflict the greatest harm on the LNG shipping network. The robustness of the LNG shipping network declined following the Russia–Ukraine conflict, rendering it particularly susceptible in 2023. The findings indicate that the Russia–Ukraine conflict altered the structure of the LNG transportation network and diminished its robustness. The work holds substantial theoretical importance for examining the influence of geopolitical events on LNG transportation and for improving the maritime industry’s ability to navigate complicated circumstances.
Water Environment in Macro-Tidal Muddy Sanmen Bay
Authors: Li Li , Wu Lihong , Yuan Jinxiong , Zhao Xinyu , Xia Yuezhang
Published: December 2024

The water environment in estuaries is a crucial factor affecting the biodiversity and self-purification capacity of coastal zones. This study focuses on Sanmen Bay as an example to study the characteristics and temporal variations of the water environment in the turbid coastal waters on the East China Sea coast. The field data of hydrodynamics and water environment from 2018 to 2023 including different seasons in the bay were collected and analyzed. We analyzed the correlation between water environmental factors and sediment and explored the impact of sediment mixing layers on the water environment. Field data indicate that water temperature, dissolved oxygen content, and suspended sediment concentration (SSC) vary seasonally. In summer, the water temperature and SSC are the highest; in autumn, the dissolved oxygen content is the highest. Salinity and pH values showed little variation from 2018 to 2023. The concentration of oils in sediments across the entire area within Sanmen Bay varied from 2018 to 2023, which decreased from (30.6–92.2) × 10−6 mg/L to below 10−6 mg/L. Correlational analysis indicates that dissolved oxygen concentration and heavy metal content were correlated with sediment in 2018, with correlation coefficients of approximately 0.5. Sediments impact the water environment through changing stratification and mixing due to suspended particulate matter and through changing water environment parameters (e.g., heavy metal) due to bed sediment erosion. The bulk Richardson number in most areas is larger than 0.25. These results indicate that sediment impacts heavy metals in Sanmen Bay. In highly turbid waters, sediments are more likely to adsorb heavy metals and other pollutants, thereby impacting water quality.
Experimental and Numerical Study on Trajectory Tracking of Remotely Operated Vehicles Involved in Cleaning Aquaculture Vessels
Authors: Zhang Hua , Xu Shuangxi , Xie Yonghe
Published: December 2024

Efficient cleaning is crucial in aquaculture vessels; however, Remotely Operated Vehicles (ROVs) encounter difficulties in regard to trajectory tracking within confined chambers, because of structural nonlinearities and environmental disturbances. To address these challenges, this paper proposes a multi-scale dynamic sliding mode adaptive control (MDSMAC) scheme to compensate for the effects of structural nonlinearities and external disturbances, achieving precise trajectory tracking. Based on a six-degree-of-freedom motion model, an adaptive multi-scale sliding mode control mechanism is designed, enabling the system to adapt to scale variations and environmental disturbances, enhancing control accuracy and robustness. The asymptotic stability of the system is rigorously proven using the second Lyapunov method. The numerical simulation results show that the proposed method exhibits superior robustness to external disturbances and high precision in complex environments, confirming its long-term stability. Water tank experiments were conducted to further evaluate the trajectory tracking performance of the method under nonlinear system control. The results show the high level of feasibility and strong potential of the approach for practical applications.
Vibration Analysis of Typical Flat Plate Ship Structures Through a New Method
Authors: Li Shuo , Tang Yuhang , Liu Jiangtao , Li Haichao , Miao Xuhong
Published: December 2024

The structural vibration problem in ships and marine structures is one of the core issues in this field. The typical flat plate is a basic structural unit that constitutes the main structures of the hull, such as the cabin, bow and stern, double bottom, superstructure, etc. Typical plate structures and plate frame structures are the basic structures that researchers focus on. This article briefly reviewed the development history of vibration prediction methods for typical flat plate structures and carried out work inspired by different methods and ideas. In order to provide a new tool for predicting the vibration wave energy distribution of typical flat plate structures, a new method for predicting the vibration wave energy distribution of a simple flat plate structure is proposed. This method combines the ideas of ray tracing and the finite element method, discretizes the structure into elements, and represents the transmission of vibration in the structure in the form of energy function mapping between elements and boundaries. After sufficient mapping, the steady-state solution of structural vibration energy density can be obtained. Compared with the finite element method and ray tracing method, this method has better computational efficiency; compared with statistical energy analysis, this method has better spatial resolution.
Assessment of Beach Slope and Sediment Grain Size Anywhere in the World: Review of Existing Formulae, Integration of Tidal Influence, and Perspectives from Satellite Observations
Authors: Arias Amélie , Almar Rafael , Regard Vincent , Bergsma Erwin W. J. , Castelle Bruno , Garlan Thierry
Published: December 2024

Grain size and beach slope are critical factors in coastal science and management. However, it is difficult to have information on their distribution everywhere in the world, as most of the coast has never been documented. For many applications, it is essential to have at least a rough estimate when local field measurements are not available. Here, we review the existing prediction formulas relating beach slope to grain size and wave conditions, using publicly available global datasets and comparing them with a benchmark dataset of ground measurements from different authors worldwide. Uncertainties arise from the input parameters, in particular coastal waves, a key parameter of all formulae, but also from empirical coefficients that are undocumented or inaccessible with the global dataset. Despite the recognized importance of tides, they are often overlooked in formulae relating beach slope to sediment grain size. We therefore present an improved formulation that incorporates tidal effects. Although satellites offer a promising alternative to predictive formulae for direct estimation of beach slope and grain size, the current accuracy and methodologies of satellite data are insufficient for global applications. Continued advances in satellite missions, including higher resolution and revisit frequency, as well as new sensors, are essential to improve predictive capabilities and facilitate wider implementation.
Establishment of a Mutant Library for Infection Cushion Development and Identification of a Key Regulatory Gene in Botrytis cinerea
Authors: Tang Maoyao , Wang Kexin , Zhang Pan , Hou Jie , Yu Xiaoqian , Wang Hongfu , Wang Yangyizhou , Li Guihua
Published: December 2024

Botrytis cinerea, the grey mould fungus affecting over 1400 plant species, employs infection cushion (IC), a branched and claw-like structure formed by mycelia, as a critical strategy to breach host surface barriers. However, the molecular mechanisms underlying IC formation remain largely unexplored. In this study, we utilized a forward genetics approach to establish a large T-DNA tagged population of B. cinerea, which contained 14,000 transformants. Through phenotype screening, we identified 161 mutants with defects in IC development. Detailed analyses revealed that these mutants exhibited various degrees of impairment in IC formation, ranging from complete failure to form ICs to a reduction in the number and maturity of ICs. Further genetic analysis of one of the mutants led to the identification of EXO70, a gene encoding a component of the exocyst complex, as a key regulatory factor in IC development. Mutants with deletion of EXO70 failed to form ICs, confirming its crucial role in the process. The mutant library reported here provides a rich resource for further large-scale identification of genes involved in IC development. Our findings provide valuable insights into the genetic and molecular basis of IC formation and offer new targets for controlling B. cinerea pathogenicity.