bluuebunny/crossref_metadata_2025 huggingface dataset:
Acute Pancreatitis in Individuals with Sickle Cell Disease: A Systematic Review
Authors: Dike Chinenye R. , DadeMatthews Adefunke , DadeMatthews Oluwagbemiga , Abu-El-Haija Maisam , Lebensburger Jeffrey , Smith Abigail , Imdad Aamer
Published: August 2024

Background/Objectives: Sickle cell disease (SCD) impacts about 100,000 people in the US. SCD increases the risk of cholelithiasis and microvascular ischemia, which could increase the risk of acute pancreatitis (AP). Abdominal pain is a common presenting symptom of AP and sickle cell vaso-occlusive crisis. The purpose of our systematic review is to estimate the prevalence and determine the severity of AP in individuals with SCD compared to the general population. Methods: Multiple electronic databases were searched. We included studies that included children and adults (population) and addressed the association of SCD (exposure) with AP (outcome) compared to the same population without SCD (control). Two authors screened titles and abstracts independently, and data were abstracted in duplication from included studies. We registered this protocol in PROSPERO-CRD42023422397. Results: Out of 296 studies screened from multiple electronic databases, we identified 33 studies. These studies included 17 case reports, one case series, and 15 retrospective cohort studies, and 18 studies included children. Eight of the AP case reports were in patients with HbSS genotype, two with sickle beta thalassemia, and one with HbSoArab, and in six case reports, a genotype was not specified. Complications were reported in 11 cases—respiratory complication (in at least four cases), splenic complications (three cases), pancreatic pseudocyst (two cases) and death from AP (one case). Of the four AP cases in the case series, three had HbSS genotype, and two cases had complications and severe pancreatitis. AP prevalence in SCD was estimated to be 2% and 7% in two retrospective studies, but they lacked a comparison group. In retrospective studies that evaluated the etiology of AP in children, biliary disease caused mostly by SCD was present in approximately 12% and 34%, respectively. Conclusions: Data on the prevalence of AP in individuals with SCD are limited. Prospectively designed studies aiming to proactively evaluate AP in individuals with SCD who present with abdominal pain are needed to improve timely diagnosis of AP in SCD and outcomes.
A Virtual Reality Cognitive Stimulation Program as an Effective Tool Against Residual/Prodromal Depressive Symptoms in Bipolar Disorders
Authors: Carta Mauro Giovanni , Kurotschka Peter K. , Machado Sergio , Erfurth Andreas , Sancassiani Federica , Perra Alessandra , Tusconi Massimo , Cossu Giulia , Aviles Gonzalez Cesar Ivan , Primavera Diego
Published: August 2024

Background: Bipolar disorder (BD) is a severe psychiatric illness characterized by a chronic course and recurrent episodes, including residual depressive symptoms even during euthymic phases. These symptoms, although not meeting criteria for a depressive episode, are linked to relapse risk and impaired social functioning. This study aims to assess whether Virtual Reality Cognitive Remediation Training reduces depressive symptoms below the clinical threshold in individuals with BD. Methods: This post hoc analysis focuses on the secondary outcome (PHQ9) of a randomized–controlled trial. Participants were recruited from the Center of Liaison Psychiatry and Psychosomatics in Italy. The experimental group received Virtual Reality Cognitive Remediation, while the control group received standard treatment Results: Data from 39 individuals in the experimental group and 25 in the control group were analyzed. A greater reduction in PHQ-9 scores (>9) was observed in the experimental group (71.8% to 48.7%) compared to the control group. Significant improvements in total PHQ-9 scores and specific symptoms were noted in the experimental group compared to the control group. Conclusions: The study highlights the significant impact of virtual reality intervention on reducing depressive symptoms in bipolar disorder. This promising outcome underscores the potential preventive role of cognitive stimulation in relapse prevention. The intervention could offer valuable benefits for both treatment and prevention strategies in bipolar disorder.
Two Decades of CABG in the UK: A Propensity Matched Analysis of Outcomes by Conduit Choice
Authors: Layton Georgia R. , Sinha Shubhra , Caputo Massimo , Angelini Gianni D. , Fudulu Daniel P. , Zakkar Mustafa
Published: August 2024

Background/Objectives: Grafting of LIMA to LAD has long been considered the gold-standard conduit choice for patients undergoing CABG. Despite this, the LSV remains the most used conduit by volume and some patients may not receive even a single arterial conduit. However, the outcomes in this group are not frequently explored. This study, therefore, compares in-hospital outcomes of patients who underwent CABG without any arterial conduits to those who received at least one arterial conduit. Methods: Retrospective propensity-matched database analysis of consecutive patients undergoing CABG in the UK between 1996 and 2019 using data from the National Adult Cardiac Surgery Audit. Results: 335,144 patients underwent CABG, with 6% receiving venous conduits only; matched outcomes are reported for 39,812 patients. In both unmatched and matched groups, we found a significant increase in mortality with the use of veins only (matched mortality 5.3% vs. 3.8%, p < 0.001) with estimated treatment effect for mortality OR 1.43, p < 0.001 (95% CI: 1.31–1.57). We also identified greater rates of post-operative dialysis, IABP insertion, and length of hospital stay in this group. Conclusions: We identified a significant increase in in-hospital mortality with the use of veins only compared to using at least one arterial graft to the LAD. While a single arterial graft should be prioritised wherever possible, venous revascularisation retains a critical role for specific patients. We must, therefore, continue to conduct research addressing the mechanisms underlying and propagating vein graft disease in order better to optimise outcomes for this niche patient group after CABG.
In Which Patients Do the 2023 Duke-ISCVID Criteria for Infective Endocarditis Increase the Diagnosis of “Definite Endocarditis”?—A Preliminary Analysis in the Prospectively Evaluated DERIVE Cohort
Authors: Schmidt-Hellerau Kirsten , Camp Johannes , Marmulla Philipp , Rieg Siegbert , Jung Norma
Published: August 2024

Background/Objectives: Recently, an update of the Duke criteria for the diagnosis of infectious endocarditis has been published: the 2023 Duke-ISCVID criteria. To gain an insight into which proportion of patients are affected by the new criteria, and which criteria might be the most relevant for the expected increase in sensitivity, we analysed data from a registry of cardiovascular infections. Methods: The 2023 Duke-ISCVID criteria were applied to patients who were diagnosed with and treated for endocarditis after having been classified as “possible” endocarditis according to the 2015 ESC Modified Duke criteria. In patients thus newly classified as “definite endocarditis”, diagnostic factors leading to this reclassification were described. Results: Of 397 patients, 48 (12%) did not fulfil the definition “definite infectious endocarditis” according to the 2015 ESC Modified Duke criteria. Of these, six (13%) fulfilled the definition when the 2023 Duke-ISCVID criteria were applied. A main factor triggering this reclassification was the consideration of microorganisms identified using valve PCR. Conclusions: As expected, the sensitivity of the new 2023 Duke-ISCVID criteria is increased in this cohort, mainly through the incorporation of new diagnostic methods in the criteria. Further studies are required to assess the effect on specificity in detail.
Association between Periodontitis and Hypertension among Adult Population in Rwanda
Authors: Gatarayiha Agnes , Brookes Zoe , Rulisa Stephen , Andegiorgish Amanuel Kidane , Mutesa Léon
Published: August 2024

Background/Objectives: Mortality due to various non-communicable diseases, including hypertension, is increasing globally. Studies have reported that periodontitis, a chronic inflammatory disorder caused by oral pathogens, is a potential risk factor for hypertension. These pathogens can invade arterial walls, leading to vascular inflammation and endothelial dysfunction, which then increases the likelihood of developing hypertension. However, evidence of the association between periodontitis and hypertension remains limited. Therefore, the aim of this study is to determine whether periodontitis is associated with hypertension among adults in Rwanda. Methods: A cross-sectional study was carried out among 420 participants (hypertensive and non-hypertensive) at the University Teaching Hospital of Kigali (CHUK) and Ruhengeri Hospital in Rwanda. Periodontitis was assessed using clinical parameters: clinical attachment loss (CAL), bleeding on probing (BoP), and periodontal pocket depth (PDD). Hypertension was defined as a patient with a systolic or diastolic blood pressure (SBP/DBP) of ≥140/90 mmHg. Descriptive statistics, the Chi-square test, and logistical regression were performed using SPSS version 29 for statistical data analysis. Results: The prevalence of periodontitis was found to be 69.5% among hypertensive patients and 52.4% among non-hypertensive patients. Clinical attachment loss was 6.24 times (AOR = 6.24, 95% CI: 1.99–19.56) higher among hypertensive patients and the difference was significant (p = 0.001). Other periodontal parameters such as periodontal pocket depth and bleeding on probing showed a more significant association among hypertensive than non-hypertensive patients. Conclusions: Our study found a significant association between periodontitis and hypertension in Rwandan adults. However, further intervention studies are needed to explore causality and potential interventions.
Barriers and Challenges to Implementing Whole Blood Transfusion Protocols in Civilian Hospitals: A Systematic Review and Meta-Analysis
Authors: Nouh Thamer , Shalhoub Mishary , Alburakan Ahmed , Alshahwan Nawaf , Alzelfawi Lama , Almajed Ebtesam , Alhindawi Zeena , Bin Salamah Rawan , AlMutiri Wijdan , Alruwaili Ebtisam , Alhawas Abdulelah , Almutairi Nourah , Mashbari Hassan
Published: August 2024

Background: Whole blood is a product that contains all three blood components (plasma, red blood cells, and platelets). This systemic review and meta-analysis was conducted to identify barriers and obstacles to establishing whole blood transfusion protocols in civilian hospitals. Methods: The study was conducted using PRISMA guidelines with PROSPERO registration No. CRD42024519898. Traumatic patients who needed or received whole blood transfusion were included. A systematic literature review employed a comprehensive search strategy through the PubMed, Google Scholar, Web of Science, ScienceDirect, and ProQuest databases. Meta-analysis was utilized to analyze the outcomes. The risk of bias was assessed using the Newcastle–Ottawa Scale. Results: In total, 310 studies were identified, and 11 studies met the inclusion criteria. The following intervals were used to assess the prevalence of mortality: 6 h 12.15% (0.081, 95% CI [0.023, 0.139]), 24 h 14.08% (0.141, 95% CI [0.111, 0.171]), delayed mortality (28–30 days) 22.89% (0.284, 95% CI [0.207, 0.360]), and in-hospital 18.72%, with relative risk (0.176, 95% CI [0.114,0.238]). Conclusions: Traumatic patients can be effectively resuscitated and stabilized with whole blood transfusion (WBT), but it is essential to provide ongoing critical care, address logistical challenges, and prevent blood product wastage. We recommend utilizing WBT in the early stages of resuscitation for adult civilian trauma patients.
Frequency of Topical Immunomodulatory and Immunosuppressive Therapies for Ocular Chronic Graft-versus-Host Disease
Authors: Koca David Sinan , Dietrich-Ntoukas Tina
Published: August 2024

Introduction: The purpose of the study was to evaluate the frequency of topical immunomodulatory and immunosuppressive therapies in patients with ocular chronic graft-versus-host disease (cGVHD) in consideration of inflammatory activity and systemic immunosuppressive therapies in a tertiary care university hospital setting. Methods: We included 95 adult patients (48 male, 47 female) with ocular chronic graft-versus-host disease (cGVHD) after alloHSCT (median age 49.5 years). Clinical ophthalmological findings and the grade of ocular cGVHD according to the NIH eye score and the German–Austrian–Swiss Consensus (GAS) Grading were analyzed. Systemic GVHD manifestations as well as the prevalence of topical and systemic (immunomodulatory) therapies were assessed. Results: A total of 74 of 95 patients (77.8%) had manifestations of systemic chronic graft-versus-host disease other than ocular GVHD. 68.42% (65/95) of patients were under systemic immunosuppressive therapy with at least one immunosuppressive medication. All patients (95/95) received lid-margin hygiene and phosphate- and preservative-free lubricating eye drops. Twenty-five percent of the cohort (24/95) were treated with autologous serum eye drops (ASEDs). In total, 80% (76/95) of patients required topical steroid therapy to treat acute exacerbation of inflammation at least once; continuous topical steroid therapy was only necessary for a minor part (12%) with refractory chronic inflammation. A total of 92.63% (88/95) were primarily treated with ciclosporin A 0.1% as Ikervis®, of whom at least one third did not continue the therapy because of intolerable side effects during follow-up and received alternative topical formulations. Conclusions: Our data show that patients with ocular cGVHD mostly need topical therapy including anti-inflammatory agents despite systemic immunosuppressive therapy. In our cohort, 80% of patients received topical steroids, and more than 90% received topical ciclosporin A eye drops, which were tolerated by only two thirds of patients due to side effects.
Long-Term Functional Outcomes Following Enzymatic Debridement of Deep Hand Burns Using Nexobrid®: A Retrospective Analysis
Authors: Malsagova Asja T. , El-Habbassi Amin , Billner Moritz , Berns Maresa , Pueski Tamas , Bodenschatz Karl J. , Heidekrueger Paul I. , Ehrl Denis
Published: August 2024

Background: For years, surgical debridement with autografting has been considered the standard of care in the treatment of severe burns of the hand. However, in recent years, enzymatic debridement has increasingly been reported as a good alternative, especially for burns of the hand, as it selectively preserves viable tissue. In this study, we aim to evaluate the long-term function of the hand after enzymatic debridement in deep dermal burns. Methods: A retrospective chart review was conducted as well as measurements of subjective and objective outcome measures through physical examination and Disabilities of the Arm, Shoulder, and Hand (DASH), Patient and Observer Scar Assessment Scale (POSAS), and Vancouver Scar Scale (VSS) scores. Results: A total of 32 enzymatically debrided hands of 24 patients were included with a mean age of 42.4 ± 16.8 years and a mean follow-up of 31 months. Postoperatively, 19 of these could be managed conservatively using skin substitutes such as “Suprathel”, 13 had to undergo subsequent autografting. The mean DASH score for the entire study population was eight with a mean value of four in the conservatively managed group and fourteen in the autografted group. The mean Patient, Observer POSAS, and VSS values were nineteen, thirteen, and two. A total of 30 cases showed an effortless complete fist closure, and, also in 30 cases, patients attested to be satisfied with the esthetic appearance of the hand on being asked. Conclusions: The descriptive analysis of these results in our study population suggests that the enzymatic debridement of deep burns of the hand, especially combined with subsequent conservative management with skin substitutes, was associated with low long-term hand disability scores at a follow-up of two years.
Cerebral Vein Thrombosis and Direct Oral Anticoagulants: A Review
Authors: Umurungi Johanna , Ferrando Francesca , Cilloni Daniela , Sivera Piera
Published: August 2024

Cerebral venous thrombosis (CVT) is a rare type of cerebrovascular event in which the thrombosis occurs in a vein of the cerebral venous system. The diagnosis could be challenging due to the great clinical variability, but the outcome is favourable in most cases, especially in the case of early diagnosis. Anticoagulant therapy is the core of CVT management and currently consists of heparin in the acute phase followed by vitamin K antagonists (VKAs) in the long term. The ideal duration of anticoagulant therapy is still unclear, and the same criteria for the treatment of extracerebral venous thromboembolism currently apply. In this paper, we reviewed the literature regarding the use of direct oral anticoagulants (DOACs) in CVT since in recent years a considerable number of studies have been published on the use of these drugs in this specific setting. DOACs have already been shown to be equally effective with VKAs in the treatment of venous thromboembolism. In addition to efficacy, DOACs appear to have the same safety profile, being, on the other hand, more manageable, as they do not require close monitoring with continuous personalised dose adjustments. In addition, a further advantage of DOACs over VKAs is the possibility of anticoagulant prophylaxis using a reduced dosage of the drug. In conclusion, although the use of DOACs appears from preliminary studies to be effective and safe in the treatment of CVT, additional studies are needed to include these drugs in the treatment of CVT.
Prevalence of Non-Alcoholic Fatty Liver Disease and Its Impact on Fibrosis Risk in Inactive Chronic Hepatitis B Patients: Insights from a Cross-Sectional Study
Authors: Al-Busafi Said A. , Al Balushi Amna S. , Al Shuaili Halima H. , Mahmood Dalia A. , Al Alawi Abdullah M.
Published: August 2024

Background: Chronic hepatitis B (CHB) and non-alcoholic fatty liver disease (NAFLD) are significant causes of chronic liver disease, potentially leading to liver cirrhosis and hepatocellular carcinoma. Moreover, the coexistence of CHB and NAFLD is increasingly common, although the relationship between NAFLD and inactive CHB infection remains poorly understood. Objectives: This study aimed to investigate the prevalence of NAFLD among patients with inactive CHB, identify risk factors for NAFLD, and determine predictors of significant fibrosis in these patients. Methods: This single-center cross-sectional study targeted patients with inactive CHB at Sultan Qaboos University Hospital from January 2010 to November 2021. Results: A total of 425 patients with inactive CHB were identified, of which 53.1% were male and 62.6% were aged 40–60 years. The prevalence of NAFLD was 47.8%. Various independent factors were associated with NAFLD, including type 2 diabetes mellitus, elevated low-density lipoprotein levels, high hemoglobin levels, low platelet counts, and normal alpha-fetoprotein levels. Significant associations were noted between NAFLD and significant fibrosis, with 10.5% of CHB patients with NAFLD exhibiting significant fibrosis compared to 1.4% of those without NAFLD. Other significant parameters included male gender, increased age, high alanine transaminase levels, elevated hemoglobin, and decreased platelet levels. Conclusions: The high prevalence of NAFLD in patients with inactive CHB and its associations with increased fibrosis and cirrhosis risk underscore the need for comprehensive management strategies for these patients.
Gastric Cancer Image Classification: A Comparative Analysis and Feature Fusion Strategies
Authors: Loddo Andrea , Usai Marco , Di Ruberto Cecilia
Published: August 2024

Gastric cancer is the fifth most common and fourth deadliest cancer worldwide, with a bleak 5-year survival rate of about 20%. Despite significant research into its pathobiology, prognostic predictability remains insufficient due to pathologists’ heavy workloads and the potential for diagnostic errors. Consequently, there is a pressing need for automated and precise histopathological diagnostic tools. This study leverages Machine Learning and Deep Learning techniques to classify histopathological images into healthy and cancerous categories. By utilizing both handcrafted and deep features and shallow learning classifiers on the GasHisSDB dataset, we conduct a comparative analysis to identify the most effective combinations of features and classifiers for differentiating normal from abnormal histopathological images without employing fine-tuning strategies. Our methodology achieves an accuracy of 95% with the SVM classifier, underscoring the effectiveness of feature fusion strategies. Additionally, cross-magnification experiments produced promising results with accuracies close to 80% and 90% when testing the models on unseen testing images with different resolutions.
Real-Time Milling Chatter Detection and Control with Axis Encoder Feedback and Spindle Speed Manipulation
Authors: Çalışkan Hakan
Published: August 2024

This paper introduces a complete real-time algorithm, where the chatter is detected and eliminated by spindle speed manipulation via the chatter energy feedback calculated from the axis encoder measurement. The proposed method does not require profound knowledge of the machining dynamics; instead, the entire algorithm exploits the fact that milling vibrations consist of forced vibrations at spindle speed harmonics and chatter vibrations that are close to one of the natural modes, with sidebands which are spread at the multiples of spindle speed frequency above and below the chatter frequency. The developed algorithm is able to identify the amplitude, phase and frequency of all the harmonics constituting the periodic forced and chatter vibrations. The key challenge is to select dominant chatter frequencies for the calculation of a robust and accurate chatter energy ratio feedback; this is achieved by utilizing the frequency estimation variance of EKF as a novel chatter indicator. Based on the chatter energy ratio feedback, the controller overrides the spindle speed in order to suppress the chatter energy below a particular threshold value. The varying spindle speed challenge is handled by updating the state transition matrices of the Kalman filters and real-time calculation of the band-pass filter coefficients, based on the derived discrete time transfer functions. The developed algorithm is tested on a Deckel FP5cc CNC which is in-house retrofitted and has a PC-based controller for the real-time application of the proposed algorithm. It is shown that the real-time chatter frequency and amplitude estimates are compatible with off-line FFT analysis, and chatter can be successfully eliminated by energy feedback.
Real-Time Simulation of Tube Hydroforming by Integrating Finite-Element Method and Machine Learning
Authors: Cheng Liang , Guo Haijing , Sun Lingyan , Yang Chao , Sun Feng , Li Jinshan
Published: August 2024

The real-time, full-field simulation of the tube hydroforming process is crucial for deformation monitoring and the timely prediction of defects. However, this is rather difficult for finite-element simulation due to its time-consuming nature. To overcome this drawback, in this paper, a surrogate model framework was proposed by integrating the finite-element method (FEM) and machine learning (ML), in which the basic methodology involved interrupting the computational workflow of the FEM and reassembling it with ML. Specifically, the displacement field, as the primary unknown quantity to be solved using the FEM, was mapped onto the displacement boundary conditions of the tube component with ML. To this end, the titanium tube material as well as the hydroforming process was investigated, and a fairly accurate FEM model was developed based on the CPB06 yield criterion coupled with a simplified Kim–Tuan hardening model. Numerous FEM simulations were performed by varying the loading conditions to generate the training database for ML. Then, a random forest algorithm was applied and trained to develop the surrogate model, in which the grid search method was employed to obtain the optimal combination of the hyperparameters. Sequentially, the principal strain, the effective strain/stress, as well as the wall thickness was derived according to continuum mechanics theories. Although further improvements were required in certain aspects, the developed FEM-ML surrogate model delivered extraordinary accuracy and instantaneity in reproducing multi-physical fields, especially the displacement field and wall-thickness distribution, manifesting its feasibility in the real-time, full-field simulation and monitoring of deformation states.
A Slow Failure Particle Swarm Optimization Long Short-Term Memory for Significant Wave Height Prediction
Authors: Guo Jia , Yan Zhou , Shi Binghua , Sato Yuji
Published: August 2024

Significant wave height (SWH) prediction is crucial for marine safety and navigation. A slow failure particle swarm optimization for long short-term memory (SFPSO-LSTM) is proposed to enhance SWH prediction accuracy. This study utilizes data from four locations within the EAR5 dataset, covering 1 January to 31 May 2023, including variables like wind components, dewpoint temperature, sea level pressure, and sea surface temperature. These variables predict SWH at 1-h, 3-h, 6-h, and 12-h intervals. SFPSO optimizes the LSTM training process. Evaluated with R2, MAE, RMSE, and MAPE, SFPSO-LSTM outperformed the control group in 13 out of 16 experiments. Specifically, the model achieved an optimal RMSE of 0.059, a reduction of 0.009, an R2 increase to 0.991, an MAE of 0.045, and an MAPE of 0.032. Our results demonstrate that SFPSO-LSTM provides reliable and accurate SWH predictions, underscoring its potential for practical applications in marine and atmospheric sciences.
Post-Processing Maritime Wind Forecasts from the European Centre for Medium-Range Weather Forecasts around the Korean Peninsula Using Support Vector Regression and Principal Component Analysis
Authors: Moon Seung-Hyun , Kim Do-Youn , Kim Yong-Hyuk
Published: August 2024

Accurate wind data are crucial for successful search and rescue (SAR) operations on the sea surface in maritime accidents, as survivors or debris tend to drift with the wind. As maritime accidents frequently occur outside the range of wind stations, SAR operations heavily rely on wind forecasts generated by numerical models. However, numerical models encounter delays in generating results due to spin-up issues, and their predictions can sometimes exhibit inherent biases caused by geographical factors. To overcome these limitations, we reviewed the observations for the first 24 h of the 72-hour forecast from the ECMWF and then post-processed the forecast for the remaining 48 h. By effectively reducing the dimensionality of input variables comprising observation and forecast data using principal component analysis, we improved wind predictions with support vector regression. Our model achieved an average RMSE improvement of 16.01% compared to the original forecast from the ECMWF. Furthermore, it achieved an average RMSE improvement of 5.42% for locations without observation data by employing a model trained on data from the nearest wind station and then applying an adaptive weighting scheme to the output of that model.
Analysis of Arctic Sea Ice Concentration Anomalies Using Spatiotemporal Clustering
Authors: Li Yongheng , He Yawen , Liu Yanhua , Jin Feng
Published: August 2024

The dynamic changes of sea ice exhibit spatial clustering, and this clustering has characteristics extending from its origin, through its development, and to its dissipation. Current research on sea ice change primarily focuses on spatiotemporal variation trends and remote correlation analysis, and lacks an analysis of spatiotemporal evolution characteristics. This study utilized monthly sea ice concentration (SIC) data from the National Snow and Ice Data Center (NSIDC) for the period from 1979 to 2022, utilizing classical spatiotemporal clustering algorithms to analyze the clustering patterns and evolutionary characteristics of SIC anomalies in key Arctic regions. The results revealed that the central-western region of the Barents Sea was a critical area where SIC anomaly evolutionary behaviors were concentrated and persisted for longer durations. The relationship between the intensity and duration of SIC anomaly events was nonlinear. A positive correlation was observed for shorter durations, while a negative correlation was noted for longer durations. Anomalies predominantly occurred in December, with complex evolution happening in April and May of the following year, and concluded in July. Evolutionary state transitions mainly occurred in the Barents Sea. These transitions included shifts from the origin state in the northwestern margin to the dissipation state in the central-north Barents Sea, from the origin state in the central-north to the dissipation state in the central-south, and from the origin state in the northeastern to the dissipation state in the central-south Barents Sea and southeastern Kara Sea. Various evolutionary states were observed in the same area on the southwest edge of the Barents Sea. These findings provide insights into the evolutionary mechanism of sea ice anomalies.
The Effect of Ultrasound Waves on the Pre-Settlement Behavior of Barnacle Cyprid Larvae
Authors: Lopes Rubens M. , Guimarães Claudia , Neves Felipe M. , De-La-Cruz Leandro T. , Vega Gelaysi Moreno , Mizrahi Damián , Adamowski Julio Cesar
Published: August 2024

Ultrasound waves have been employed to control marine biofouling but their effects on fouling organisms remain poorly understood. This study investigated the influence of ultrasound waves on barnacle (Tetraclita stalactifera cyprid larvae) pre-settlement behavior. Substrate inspection constituted most of the larval time budget, with a focus on the bottom surface rather than lateral or air–water interfaces. The frequency of substrate inspection decreased at 10 kPa when compared to higher acoustic pressures, while the time spent in the water column had an opposite trend. Various larval swimming modes were observed, including rotating, sinking, walking, and cruising, with rotating being dominant. Barnacle larvae exhibited higher speeds and less complex trajectories when subjected to ultrasound in comparison to controls. The impact of ultrasound waves on barnacle cyprid larvae behavior had a non-linear pattern, with lower acoustic pressure (10 kPa) inducing more effective substrate rejection than higher (15 and 20 kPa) intensities.
Macroinvertebrates Associated with Macroalgae within Integrated Multi-Trophic Aquaculture (IMTA) in Earthen Ponds: Potential for Accessory Production
Authors: Vieira Rafael , Mateus Miguel Ângelo , Afonso Carlos Manuel Lourenço , Soares Florbela , Pousão-Ferreira Pedro , Gamito Sofia
Published: August 2024

The present work aims to evaluate the macroinvertebrate community associated with macroalgae in earthen pond systems to better understand their potential in detritus recycling and as an accessory production. Sampling took place on the settling pond of an aquaculture research station, where macroalgae permanently occurred at high densities. The results suggest differentiation between seasons but not between sites within the settling pond. Seasonal variation was observable in terms of macroinvertebrate density, biomass, and diversity. Two non-indigenous species of invertebrates were found, the crustaceans Grandidierella japonica and Paracerceis sculpta Amphipods were the most abundant group, and their high nutritional value can be exploited. Detritus and the epiphyte layer are the main food items for the invertebrates, reinforcing the advantages of these organisms being present to enhance the recycling of excess detritus and to transfer organic matter to upper trophic levels. These species, naturally present in aquaculture facilities, can improve the water quality and increase the variability of food nutrients for reared species.
FPID-RCP: A Control Method for a Swing-Type Wave Compensation Platform System
Authors: Tang Gang , Zhang Haibo , Hu Yongli , Zhou Peipei
Published: August 2024

With the rapid development of marine engineering in recent years, offshore operations have become increasingly common, making wave compensation platforms crucial for safe operations at sea. This paper presents a pendulum-type wave compensation platform specifically designed for wave compensation applications. The main components of this wave compensation platform include a chassis, support base, hydraulic cylinders, telescopic rods, upper platform, three sets of balancing mechanisms, three sets of tilt angle sensors, and a control system. Firstly, to thoroughly understand the compensatory motion of the pendulum-type three-degree-of-freedom wave compensation platform, kinematic analysis of the entire system was conducted, and the motion inverse solution curves of the mechanism were obtained through simulation using motion simulation software. Secondly, to enhance the compensatory response performance of the platform, a fuzzy PID control algorithm was employed to control the system and achieve attitude control of the platform. Finally, through control system simulation, compared to PID control, fuzzy PID reduces system response delay and successfully meets the expected technical requirements and application needs.
Opportunity-Maintenance-Based Scheduling Optimization for Ship-Loading Operation Systems in Coal Export Terminals
Authors: Tian Qi , Peng Yun , Xu Xinglu , Wang Wenyuan
Published: August 2024

As important nodes of the global coal supply chain, coal export terminals bear the tasks of coal storage, processing, and handling, whose efficiency and stability are of great importance with the growing coal shipping market in recent years. However, poor working conditions of the handling equipment in the coal export terminal, together with its relatively fixed layout and poor flexibility, allow frequent equipment failures to seriously affect the ship-loading operations. To solve the problem, this paper constructs a scheduling optimization model for ship-loading operation systems considering equipment maintenance and proposes an opportunity-maintenance-based two-layer algorithm to solve the model. The upper layer aims to optimize the scheduling scheme of the ship-loading operation system under a certain maintenance plan. The lower layer of the algorithm, an opportunity-maintenance-based “equipment-level–flow-level” maintenance optimization method, determines the best equipment maintenance plan. A coal export terminal in China is employed as the case study to verify the effectiveness of the proposed method. The results show that the proposed method can reduce the average dwell time of ships at the terminal by 15.8% and save total scheduling and maintenance costs by 10.3%. This paper shows how to make full use of equipment failure historical data and integrate equipment maintenance schemes into the scheduling problem of the ship-loading operation system, which can effectively reduce the impact of equipment failures on ship-loading operations and provide decision support for coal export terminal management.
Research on the Flow-Induced Vibration of Cylindrical Structures Using Lagrangian-Based Dynamic Mode Decomposition
Authors: Shi Xueji , Liu Zhongxiang , Guo Tong , Li Wanjin , Niu Zhiwei , Ling Feng
Published: August 2024

An oscillating flow past a structure represents a complex, high-dimensional, and nonlinear flow phenomenon, which can lead to the failure of structures due to material fatigue or constraint relaxation. In order to better understand flow-induced vibration (FIV) and coupled flow fields, a numerical simulation of a two-degrees-of-freedom FIV in a cylinder was conducted. Based on the Lagrangian-based dynamic mode decomposition (L-DMD) method, the vorticity field and motion characteristics of a cylinder were decomposed, reconstructed, and predicted. A comparison was made to the traditional Eulerian-based dynamic mode decomposition (E-DMD) method. The research results show that the first-order mode in the stable phase represents the mean flow field, showcasing the slander tail vortex structure during the vortex-shedding period and the average displacement in the in-line direction. The second mode predominantly captures the crossflow displacement, with a frequency of approximately 0.43 Hz, closely matching the corresponding frequency observed in the CFD results. The higher dominant modes mainly capture outward-spreading, smaller-scale vortex structures with detail displacement characteristics. The motion of the cylinder in the in-line direction was accompanied by symmetric vortex structures, while the motion of the cylinder in the crossflow direction was associated with anti-symmetric vortex structures. Additionally, crossflow displacement will cause a symmetrical vortex structure that spreads laterally along the axis behind the cylinder. Finally, when compared with E-DMD, the L-DMD method demonstrates a notable advantage in analyzing the nonlinear characteristics of FIV.
Ship Detection in Synthetic Aperture Radar Images Based on BiLevel Spatial Attention and Deep Poly Kernel Network
Authors: Tian Siyuan , Jin Guodong , Gao Jing , Tan Lining , Xue Yuanliang , Li Yang , Liu Yantong
Published: August 2024

Synthetic aperture radar (SAR) is a technique widely used in the field of ship detection. However, due to the high ship density, fore-ground-background imbalance, and varying target sizes, achieving lightweight and high-precision multiscale ship object detection remains a significant challenge. In response to these challenges, this research presents YOLO-MSD, a multiscale SAR ship detection method. Firstly, we propose a Deep Poly Kernel Backbone Network (DPK-Net) that utilizes the Optimized Convolution (OC) Module to reduce data redundancy and the Poly Kernel (PK) Module to improve the feature extraction capability and scale adaptability. Secondly, we design a BiLevel Spatial Attention Module (BSAM), which consists of the BiLevel Routing Attention (BRA) and the Spatial Attention Module. The BRA is first utilized to capture global information. Then, the Spatial Attention Module is used to improve the network’s ability to localize the target and capture high-quality detailed information. Finally, we adopt a Powerful-IoU (P-IoU) loss function, which can adjust to the ship size adaptively, effectively guiding the anchor box to achieve faster and more accurate detection. Using HRSID and SSDD as experimental datasets, mAP of 90.2% and 98.8% are achieved, respectively, outperforming the baseline by 5.9% and 6.2% with a model size of 12.3 M. Furthermore, the network exhibits excellent performance across various ship scales.
Characterization of the Serine Protease TlSP1 from Trichoderma longibrachiatum T6 and Its Function in the Control of Heterodera avenae in Wheat
Authors: Wang Xiujuan , Zhang Shuwu , Xu Bingliang
Published: August 2024

Serine protease is an extracellular protease secreted by biocontrol fungi that can effectively control nematode diseases by degrading nematode eggshells and enhancing plant resistance. Trichoderma longibrachiatum T6, an important biocontrol fungus, has been demonstrated to effectively parasitize and degrade Heterodera avenae cysts, eggs, and second-stage juveniles (J2s). However, the genes that encoding serine protease and their functions in T. longibrachiatum T6 have not been thoroughly investigated. In this study, we successfully cloned and sequenced the serine protease gene TlSP1 in T. longibrachiatum T6. Our results revealed that the expression level of the TlSP1 gene was induced and significantly increased in T. longibrachiatum T6 after inoculation with H. avenae cysts. The full-length sequence of the coding region (CDS) of TlSP1 gene was 1230 bp and encoded a protein consisting of 409 amino acids. Upon the transformation of the TlSP1 gene into Pichia pastoris X33, the purified recombinant TlSP1 protein exhibited optimal activity at a temperature of 50 °C and pH 8.0. Following 4–10-day of treatment with the purified recombinant TlSP1 protein, the eggshells and content were dissolved and exuded. The number of nematodes invading wheat roots was reduced by 38.43% in the group treated with both TlSP1 and eggs on one side (P1+N) compared to the control group, while the number of nematodes invading wheat roots was reduced by 30.4% in the TlSP1 and eggs two-sided treatment group (P1/N). Furthermore, both the P1+N and P1/N treatments significantly upregulated genes associated with defense enzymes (TaPAL, TaCAT, TaSOD, and TaPOD), genes involved in the lignin synthesis pathway (TaC4H, Ta4CL2, TaCAD1, and TaCAD12), and salicylic acid (SA)-responsive genes (TaNPR1, TaPR1, and TaPR2) and led to the high expression of jasmonic acid (JA)-responsive genes (TaPR4, TaOPR3, and TaAOS2). This study has highlighted the significant role of the TlSP1 gene in facilitating H. avenae eggshells’ dissolution, preventing nematode invasion in the host plant, and boosting plant resistance in wheat.
Does Mediation Matter in Explaining the Relationship between ESG and Bank Financial Performance? A Scoping Review
Authors: Salem Mohammed R. M. , Shahimi Shahida , Alma’amun Suhaili
Published: August 2024

This study identifies and synthesizes patterns and trends in the emerging body of literature of environmental, social, and corporate governance (ESG) endeavors on the financial performance (FP) of the banking firms. It specifically aims to highlight the relationship of ESG–FP. The scoping review analysis is based on 1856 journal articles from two online databases, namely Scopus and Web of Science (WoS) for the period of 2015 to 2023. The analysis reveals inconsistent results regarding the ESG–FP relationship, with some studies reporting positive impacts, others negative, and several showing no significant relationship. Notably, non-linear studies consistently identify an inverted U-shaped relationship, suggesting that there is a threshold level of ESG investment beyond which additional investments do not yield proportional benefits. This indicates that threshold-based policies may be more effective at maximizing ESG benefits. The study also found that numerous studies suggested exploring the indirect effect or mediating variables in the ESG–FP relationship to better explain the FP variance. Thus, the study identifies a need for future research to explore indirect relationships by testing potential moderators or mediators, particularly bank risk-taking, to better understand the ESG–FP dynamics. Policymakers and regulators should adopt non-linear analytical approaches and set threshold-based ESG investment policies, while bank management should strategically invest in ESG activities, integrating ESG considerations into risk management frameworks. Continuous monitoring and evaluation, along with stakeholder engagement, are crucial for optimizing ESG investments. By adopting these strategies, banks can enhance financial performance and contribute to sustainable and responsible banking practices.
An Equity Evaluation of Healthcare Accessibility across Age Strata Using the G2SFCA Method: A Case Study in Karamay District, China
Authors: Liu Lu , Gao Runyi , Zhang Li
Published: August 2024

Equitable access to healthcare services is essential for residents’ well-being and social equity, requiring the rational spatial distribution of healthcare facilities in urban planning. Compared with major studies on the spatial accessibility and equity of healthcare services in first-tier cities, second-tier cities, which form the foundational structure of the global urban system, have not be given sufficient attention. Therefore, this study takes Karamay District in Karamay as a case study to analyze the spatial equity of healthcare services using place-based accessibility measures. For accessibility calculations, we employ the Gaussian two-step floating catchment area method to separately analyze the accessibility to hospitals and primary healthcare (PHC) institutions, considering factors such as the number of facilities, population, distance, and transportation modes. Second, we utilize global and local Moran’s I for spatial analysis to identify areas with varying levels of accessibility. Furthermore, considering the spatial equity for different social groups, this study innovatively proposes an analytical framework for assessing healthcare accessibility and equity across age groups using residential-level data and an adjusted search radius in second-tier cities, typically those with small-scale urban areas. The results reveal significant spatial clustering in healthcare accessibility, similar to that observed in most first-tier cities, as well as notable differences in the spatial distribution between hospital accessibility and PHC accessibility. Regarding age strata, results show that the elderly have lower access to hospitals but higher access to PHC institutions, which is opposite to the situation observed for children. Overall, second-tier cities demonstrate better equity in healthcare accessibility compared to first-tier cities, particularly regarding hospital accessibility. However, there are minor inequities in PHC accessibility for children aged 0–12 years. Our findings may provide valuable insights and essential data support for healthcare resource allocation and land use planning in second-tier cities.
Role of Social Infrastructure in Social Isolation within Urban Communities
Authors: Kim Yeo-Kyeong , Kim Donghyun
Published: August 2024

Social isolation is a global problem with far-reaching consequences. Nevertheless, various solutions can address it. Building social infrastructure is important for preventing isolation. In this study, we aimed to understand the impact of urban infrastructure on social isolation using social surveys and statistical data from South Korea. A multilevel logistic model identified the infrastructure characteristics required to solve social isolation by adding regional-level data to individual-level data. The analysis showed that, at the individual level, gender, age, marital status, and household income were significant, whereas at the regional level, the ratio of single-person households, access to traditional markets, and the capital region status areas were significant. The findings suggest that social infrastructure can impact social isolation. Hence, it is important to plan urban spaces and design infrastructure to help alleviate social isolation.
Research on Quantitative Analysis Methods for the Spatial Characteristics of Traditional Villages Based on Three-Dimensional Point Cloud Data: A Case Study of Liukeng Village, Jiangxi, China
Authors: Li Zhe , Wang Tianlian , Sun Su
Published: August 2024

Traditional villages are important carriers of cultural heritage, and the quantitative study of their spatial characteristics is an important approach to their preservation. However, the rapid extraction, statistics, and estimation of the rich spatial characteristic indicators in these villages have become bottlenecks in traditional village research. This paper employs UAV (unmanned aerial vehicle) and handheld laser scanners to acquire three-dimensional point cloud data and construct a spatial feature three-dimensional calculation workflow of “field data collection—data processing—data analysis and application”, which enables the rapid acquisition, processing, and analysis of three-dimensional village data. Typical case studies are conducted in Liukeng Village, China, focusing on the quantification of village spatial characteristics at three levels: topography, streets and alleys, and individual buildings, as well as comparative studies of multiple villages across different regions. The quantification of three-dimensional data reveals the regularity of village spatial characteristics and uncovers the spatial wisdom embedded in the site selection and spatial structure of traditional villages. This paper establishes a complete technical route for the quantitative analysis of villages, deepens public understanding of the diverse value of traditional villages, and provides technical support for research and practice in related fields.