bluuebunny/crossref_metadata_2025 huggingface dataset:
Utility and Utilization of Patient-Reported Experience Measures for the Supplementary COVID-19 Protective Actions at the Ovidius Clinical Hospital in Romania
Authors: Pana Bogdan C. , Radu Ciprian Paul , Furtunescu Florentina L. , Mociu Adrian , Ciufu Nicolae
Published: February 2024

Patient-reported experience measures (PREMs) provide assessments of patients’ subjective experiences and perceptions regarding their interactions with the healthcare system and its services. We present a cross-sectional study of the patient perception and evolution of COVID-19 cases performed at Ovidius Clinical Hospital in Romania during the COVID-19 pandemic. The study objective is to explore the utility and the utilization of PREMs in monitoring patient perceptions of the supplementary protective actions. During the pandemic, the hospital implemented early supplementary protective actions, like PCR and lung CT, to all surgically admitted patients in the hospital alongside government-recommended actions. At the same time, functional PREMs were used to evaluate patient perceptions regarding these supplementary actions. The research was carried out for 19 months between June 2020 and December 2021. The findings revealed that opinions about the severity of the COVID-19 pandemic, the personal risk of infection, and the perception of protective actions in the hospital were not correlated. Conclusions: The patients’ appreciation of the COVID-19 protective actions taken by the hospital is related more to the general perceptions induced by the number of cases presented in the mass media and less by perceptions of the gravity of the problem or the risk of infection. In a hospital, the primary mission of patient safety is essential, and it must be fulfilled even if the patients are not sure or fully convinced that this is for their benefit. For management decisions and monitoring, using PREMs can be essential in a situation when general evidence is not conclusive.
Reliability, Knowledge Translation, and Implementability of the Spanish Version of the Hammersmith Infant Neurological Examination
Authors: Hidalgo-Robles Álvaro , Merino-Andrés Javier , Rodríguez-Fernández Ángel Luis , Gutiérrez-Ortega Mónica , León-Estrada Irene , Ródenas-Martínez Maribel
Published: February 2024

Purpose. This study aimed to: (a) translate and cross-culturally adapt the Hammersmith Infant Neurological Examination (HINE) into Spanish; (b) evaluate its intra- and inter-examiner reliability; (c) support a knowledge translation and tool implementation program in early intervention; and (d) evaluate its reliability and implementation for professionals one year after receiving training. Materials and methods. The translation followed the World Health Organization’s recommendations. Reliability was assessed in 25 infants aged between 3 and 15 months with identifiable risks of cerebral palsy (CP). The implementation was also evaluated by analyzing the reliability of professionals without previous experience of the tool by using a pre-survey and a follow-up survey one year after training. The survey covered aspects related to the use of early detection tools of CP and the use of HINE, including attitudes, opinions, and perceptions. Results. An excellent intra- and inter-examiner agreement was obtained for the total score of the HINE intra-class correlation coefficient (ICC = 0.98 in both indices). One year after training, the professionals also showed excellent reliability values (ICC = 0.99), as well as an increase in sensitization and skills in evidence-based practices for the early detection of “high risk” of CP. Conclusions. The Spanish version of HINE is a reliable measure for the neurological evaluation of “high risk” of CP and can be administered after standardized training and without costs to acquire the evaluation. This allows its accessible and widespread implementation in the clinical context.
Technology-Enabled Senior Living: A Preliminary Report on Stakeholder Perspectives
Authors: Stara Vera , Maranesi Elvira , Möller Johanna , Palmier Cecilia , Ogawa Toshimi , Browne Ryan , Luc Marine , Wieching Rainer , Boudy Jerome , Bevilacqua Roberta
Published: February 2024

Background: The integration of stakeholders is crucial in developing smart living technologies to support the autonomy of elderly populations. Despite the clear benefits of these technologies, there remains a significant gap in comprehensive research. Methods: This study presents the viewpoints of 19 stakeholders from Europe and Japan, focusing on the sustainability of smart living solutions for Active and Healthy Ageing (AHA). Data were gathered through qualitative semi-structured interviews and analysed using a Framework Analysis approach. Results: Analysis of the interviews revealed six key sustainability categories: addressing the unmet needs of older adults, functionalities of the smart living coach, integration within organizations, identified barriers, financial considerations, and the social role of the smart living coach. Conclusions: This research underscores the importance of evaluating user needs through the involvement of various stakeholders, including the elderly, their caregivers, professionals, technicians, service providers, and government bodies. Collaborative efforts are essential to generate new evidence demonstrating the value of smart living solutions in facilitating Active and Healthy Ageing.
Measuring the Potential and Realized (or Revealed) Spatial Access from Places of Residence and Work to Food Outlets in Rural Communities of Québec, Canada
Authors: Robitaille Eric , Durette Gabrielle , Dubé Marianne , Arbour Olivier , Paquette Marie-Claude
Published: February 2024

This study aims to bridge the gap between the potential and realized spatial access to food outlets in rural areas of Québec, Canada. By assessing both aspects, this research aims to provide a comprehensive understanding of the challenges faced by rural communities in accessing food resources and the effectiveness of existing interventions in addressing these challenges. A mixed methods approach was adopted to collect and analyze data, combining GIS-based spatial analysis with community-based surveys. The spatial analysis allowed for the quantification of the potential access metrics, while the community surveys provided valuable information on travel behaviors, preferences, and barriers experienced by residents when accessing food outlets. The results of the distance measurement calculations showed that for both the potential and realized distance measurements, convenience stores are more easily accessible than grocery stores and supermarkets. Thus, workers seem to have a strategy for minimizing the impact of long distances by combining work and grocery shopping. These results are measured for the realized accessibility to grocery stores and supermarkets and the principal retailer used. Finally, the results of the analyses show that there is a socio-economic gradient in the potential geographical accessibility from home to the food outlets. The importance of developing and strengthening the local food environment to make it favourable to healthy eating and supportive of food security is discussed.
Gamification in Online Education: A Visual Bibliometric Network Analysis
Authors: Yazdi Azin , Karimi Amir , Mystakidis Stylianos
Published: February 2024

This study applies bibliometric and network analysis methods to map the literature-based landscape of gamification in online distance learning. Two thousand four hundred and nineteen publications between 2000 and 2023 from the Scopus database were analyzed. Leading journals, influential articles, and the most critical topics on gamification in online training were identified. The co-authors’ analysis demonstrates a considerable rise in the number of nations evaluating research subjects, indicating increasing international cooperation. The main contributors are the United States, the United Kingdom, China, Spain, and Canada. The co-occurrence network analysis of keywords revealed six distinct research clusters: (i) the implementation of gamification in various learning contexts, (ii) investigating the application of gamification in student education to promote the use of electronic learning, (iii) utilizing artificial intelligence tools in online learning, (iv) exploring educational technologies, (v) developing strategies for creating a playful learning environment, and (vi) understanding children’s learning processes. Finally, an analysis of the most cited articles identified three research themes: (a) gamification-based learning platforms, (b) measurement of users’ appreciation and satisfaction, and (c) 3D virtual immersive learning environments. This study contributes to the subject discipline by informing researchers about the latest research trends in online education gamification and identifying promising research directions.
Evaluation of Optimal Insertion Sites and Angles for Orthodontic Mini-Implants at the Anterior Nasal Spine Region Based on Cone-Beam Computed Tomography
Authors: Lin Donger , Wen Shangyou , Ye Zelin , Yang Yi , Yuan Xuechun , Lai Wenli , You Meng , Long Hu
Published: February 2024

Background: To infer the optimal angulation and height level of mini-implant insertion in the anterior nasal spine (ANS) region from alveolar bone depth (BD) and labial cortical bone thickness (CBT) through cone-beam computed tomography (CBCT), the influences of sex, age, and growth pattern on BD, CBT, and the starting point of the ANS were examined. Material and methods: BD and CBT were measured on CBCT median sagittal images at specific angles (0, 15, 30, 45, and 60 degrees) to simulate the angulation of insertion. The height level of the first axial image with obvious bone ridge was recorded as the start of ANS. Results: The average height of ANS start was 9.42 mm from the alveolar bone crest between the central incisors. The variations in height level and insertion angle combined, or either of them individually, significantly influenced BD and CBT, demonstrating overall decreasing trends (p < 0.001). BD was not influenced by sex, age, or growth pattern (p > 0.05). However, CBT was found to be correlated with sex and growth pattern, while the height level of ANS start was associated only with growth pattern, particularly in hypodivergent patients (p < 0.05). Conclusion: The recommended insertion height level is 14–16 mm from the alveolar bone crest and the recommended angulation is 30–45°. An innovative inequity in the relationship between a certain height level and the insertion angulation is proposed.
Topical Treatment Is Effective and Safe for Acute Ankle Sprains: The Multi-Center Double-Blind Randomized Placebo-Controlled TRAUMED Trial
Authors: Gerdesmeyer Ludger , Vester Johannes , Schneider Christian , Wildemann Britt , Frank Christine , Schultz Myron , Seilheimer Bernd , Smit Alta , Kerkhoffs Gino
Published: February 2024

Background: Topical NSAIDs are widely used to treat ankle sprains. Traumed (Tr14) gel is a multicomponent formulation, demonstrating inflammation-resolution properties. Methods: This multicenter, double-blind trial investigated the efficacy and safety of Tr14 gel versus placebo gel and non-inferiority versus 1% diclofenac gel, applied 3×/day for 7 days after acute lateral ankle sprain (EudraCT Number: 2016-004792-50). The primary outcome was AUC for pain on passive movement, assessed by VAS from baseline to Days 4 and 7. Results: The trial population included 625 patients aged 18 to 78 years. The AUC scores were 187.88 and 200.75 on Day 4 (p = 0.02) and 294.14 and 353.42 on Day 7 (p < 0.001) for Tr14 and placebo, respectively. For Tr14 compared to diclofenac, the AUC scores were 187.50 and 197.19 on Day 4 (p = 0.3804) and 293.85 and 327.93 on Day 7 (p = 0.0017), respectively. On the FAAM-ADL subscale, Tr14 was superior to placebo and non-inferior to diclofenac at all time points. Time to 50% pain improvement was lowest for Tr14 (6.0 days), compared to placebo (7.1 days) and diclofenac (7.0 days). Adverse events were uncommon and minor. Conclusions: Tr14 gel is effective and safe in acute ankle sprains, compared to placebo gel and diclofenac gel, and has faster pain resolution. Trial registration: The trial was registered in clinicaltrialsregister.eu, EudraCT number 2016-004792-50 on 07.06.2017.
Advances in Multi-Modality Imaging in Hypertrophic Cardiomyopathy
Authors: Goldie Fraser C. , Lee Matthew M. Y. , Coats Caroline J. , Nordin Sabrina
Published: February 2024

Hypertrophic cardiomyopathy (HCM) is characterized by abnormal growth of the myocardium with myofilament disarray and myocardial hyper-contractility, leading to left ventricular hypertrophy and fibrosis. Where culprit genes are identified, they typically relate to cardiomyocyte sarcomere structure and function. Multi-modality imaging plays a crucial role in the diagnosis, monitoring, and risk stratification of HCM, as well as in screening those at risk. Following the recent publication of the first European Society of Cardiology (ESC) cardiomyopathy guidelines, we build on previous reviews and explore the roles of electrocardiography, echocardiography, cardiac magnetic resonance (CMR), cardiac computed tomography (CT), and nuclear imaging. We examine each modality’s strengths along with their limitations in turn, and discuss how they can be used in isolation, or in combination, to facilitate a personalized approach to patient care, as well as providing key information and robust safety and efficacy evidence within new areas of research.
The Prognostic Role of Volumetric MRI Evaluation in the Surgical Treatment of Glioblastoma
Authors: Aiudi Denis , Iacoangeli Alessio , Dobran Mauro , Polonara Gabriele , Chiapponi Mario , Mattioli Andrea , Gladi Maurizio , Iacoangeli Maurizio
Published: February 2024

Background: Glioblastoma is the most common primary brain neoplasm in adults, with a poor prognosis despite a constant effort to improve patient survival. Some neuroradiological volumetric parameters seem to play a predictive role in overall survival (OS) and progression-free survival (PFS). The aim of this study was to analyze the impact of the volumetric areas of contrast-enhancing tumors and perineoplastic edema on the survival of patients treated for glioblastoma. Methods: A series of 87 patients who underwent surgery was retrospectively analyzed; OS and PFS were considered the end points of the study. For each patient, a multidisciplinary revision was conducted in collaboration with the Neuroradiology and Neuro-Oncology Board. Manual and semiautomatic measurements were adopted to perform the radiological evaluation, and the following quantitative parameters were retrospectively analyzed: contrast enhancement preoperative tumor volume (CE-PTV), contrast enhancement postoperative tumor volume (CE-RTV), edema/infiltration preoperative volume (T2/FLAIR-PV), edema/infiltration postoperative volume (T2/FLAIR-RV), necrosis volume inside the tumor (NV), and total tumor volume including necrosis (TV). Results: The median OS value was 9 months, and the median PFS value was 4 months; the mean values were 12.3 and 6.9 months, respectively. Multivariate analysis showed that the OS-related factors were adjuvant chemoradiotherapy (p < 0.0001), CE-PTV < 15 cm3 (p = 0.03), surgical resection > 95% (p = 0.004), and the presence of a “pseudocapsulated” radiological morphology (p = 0.04). Conclusions: Maximal safe resection is one of the most relevant predictive factors for patient survival. Semiautomatic preoperative MRI evaluation could play a key role in prognostically categorizing these tumors.
Helicobacter pylori Eradication Therapy in Patients with Decreased Renal Function: A Systematic Review
Authors: Nishizawa Toshihiro , Sano Masaya , Toyoshima Osamu , Suzuki Hidekazu
Published: February 2024

Background: There are concerns that Helicobacter pylori eradication therapy may worsen kidney function in patients with decreased renal function. This study aimed to systematically review the literature regarding Helicobacter pylori eradication in patients with renal impairment. Methods: PubMed, the Cochrane Library, and Igaku Chuo Zasshi were searched for comparative studies on H. pylori eradication in patients with renal impairment. Results: Five articles were included in this systematic review. According to a randomized trial comparing a proton pump inhibitor (PPI) + clarithromycin + metronidazole and PPI + clarithromycin + amoxicillin in patients with decreased renal function, the incidence of acute renal failure was significantly lower in PPI + clarithromycin + metronidazole (2%: 1/44) than in PPI + clarithromycin + amoxicillin (18%: 8/44). The eradication rate in PPI + clarithromycin + metronidazole (92.5%) was significantly better than that in PPI + clarithromycin + amoxicillin (76.3%). According to four reports on eradication treatment using PPI + clarithromycin + amoxicillin in patients with and without decreased renal function, the eradication rates and adverse effects were similar in both groups. Regarding dose adjustment, three reports reduced the dose of antibiotics by half in patients with a creatinine clearance of 30 mL/min or less. Conclusions: The regimen with PPIs, clarithromycin, and metronidazole is recommended for renal impairment. The combination of PPIs, clarithromycin, and amoxicillin, at reduced doses depending on the renal function, is also a potential option.
PEEP-Induced Lung Recruitment Maneuver Combined with Prone Position for ARDS: A Single-Center, Prospective, Randomized Clinical Trial
Authors: Lan Lan , Ni Yuenan , Zhou Yubei , Fu Linxi , Wu Wentao , Li Ping , Yu He , Liang Guopeng , Luo Fengming
Published: February 2024

Background: Prone position (PP) and the positive end-expiratory pressure (PEEP)-induced lung recruitment maneuver (LRM) are both efficient in improving oxygenation and prognosis in patients with ARDS. The synergistic effect of PP combined with PEEP-induced LRM in patients with ARDS remains unclear. We aim to explore the effects of PP combined with PEEP-induced LRM on prognosis in patients with moderate to severe ARDS and the predicting role of lung recruitablity. Methods: Patients with moderate to severe ARDS were consecutively enrolled. The patients were prospectively assigned to either the intervention (PP with PEEP-induced LRM) or control groups (PP). The clinical outcomes, respiratory mechanics, and electric impedance tomography (EIT) monitoring results for the two groups were compared. Lung recruitablity (recruitment-to-inflation ratio: R/I) was measured during the PEEP-induced LRM procedure and was used for predicting the response to LRM. Results: Fifty-eight patients were included in the final analysis, among which 28 patients (48.2%) received PEEP-induced LRM combined with PP. PEEP-induced LRM enhanced the effect of PP by a significant improvement in oxygenation (∆PaO2/FiO2 75.8 mmHg vs. 4.75 mmHg, p < 0.001) and the compliance of respiratory system (∆Crs, 2 mL/cmH2O vs. −1 mL/cmH2O, p = 0.02) among ARDS patients. Based on the EIT measurement, PP combined with PEEP-induced LRM increased the ventilation distribution mainly in the dorsal region (5.0% vs. 2.0%, p = 0.015). The R/I ratio was measured in 28 subjects. The higher R/I ratio was related to greater oxygenation improvement after LRM (Pearson’s r = 0.4; p = 0.034). Conclusions: In patients with moderate to severe ARDS, PEEP-induced LRM combined with PP can improve oxygenation and dorsal ventilation distribution. R/I can be useful to predict responses to LRM.
Endotyping Eosinophilic Inflammation in COPD with ELAVL1, ZfP36 and HNRNPD mRNA Genes
Authors: Voulgareli Ilektra , Semitekolou Maria , Morianos Ioannis , Blizou Myrto , Sfika Maria , Hillas Georgios , Bakakos Petros , Loukides Stelios
Published: February 2024

Background: Chronic obstructive pulmonary disease (COPD) is a common disease characterized by progressive airflow obstruction, influenced by genetic and environmental factors. Eosinophils have been implicated in COPD pathogenesis, prompting the categorization into eosinophilic and non-eosinophilic endotypes. This study explores the association between eosinophilic inflammation and mRNA expression of ELAVL1, ZfP36, and HNRNPD genes, which encode HuR, TTP and AUF-1 proteins, respectively. Additionally, it investigates the expression of IL-9 and IL-33 in COPD patients with distinct eosinophilic profiles. Understanding these molecular associations could offer insights into COPD heterogeneity and provide potential therapeutic targets. Methods: We investigated 50 COPD patients, of whom 21 had eosinophilic inflammation and 29 had non-eosinophilic inflammation. Epidemiological data, comorbidities, and pulmonary function tests were recorded. Peripheral blood mononuclear cells were isolated for mRNA analysis of ELAVL1, ZfP36, and HNRNPD genes and serum cytokines (IL-9, IL-33) were measured using ELISA kits. Results: The study comprised 50 participants, with 66% being male and a mean age of 68 years (SD: 8.9 years). Analysis of ELAVL1 gene expression revealed a 0.45-fold increase in non-eosinophilic and a 3.93-fold increase in eosinophilic inflammation (p = 0.11). For the ZfP36 gene, expression was 6.19-fold higher in non-eosinophilic and 119.4-fold higher in eosinophilic groups (p = 0.07). Similarly, HNRNPD gene expression was 0.23-fold higher in non-eosinophilic and 0.72-fold higher in eosinophilic inflammation (p = 0.06). Furthermore, serum levels of IL-9 showed no statistically significant difference between the eosinophilic and non-eosinophilic group (58.03 pg/mL vs. 52.55 pg/mL, p = 0.98). Additionally, there was no significant difference in IL-33 serum levels between COPD patients with eosinophilic inflammation and those with non-eosinophilic inflammation (39.61 pg/mL vs. 37.94 pg/mL, p = 0.72). Conclusions: The data suggest a notable trend, lacking statistical significance, towards higher mRNA expression for the ZfP36 and HNRNPD genes for COPD patients with eosinophilic inflammation compared to those with non-eosinophilic inflammation.
Medical Journal, Readers, Success: An Inseparable Trinity
Authors: Andrès Emmanuel
Published: February 2024

At the start of this new year, the Editorial Board of the Journal of Clinical Medicine (J [...]
Association of Three Genetic Loci with Molar Incisor Hypomineralization in Polish Children
Authors: Milona Marta , Ciechanowicz Andrzej , Węsierska Karolina , Gońda-Domin Magda , Zawiślak Alicja , Jarząbek Anna , Sobalska-Kwapis Marta , Jarczak Justyna , Gruszka Renata , Strapagiel Dominik , Janiszewska-Olszowska Joanna , Grocholewicz Katarzyna
Published: February 2024

Background: Molar incisor hypomineralization (MIH) is a qualitative, demarcated enamel defect of hypomineralization affecting one to four first permanent molars, often with incisor involvement. Its etiology is complex. However, evidence suggests the influence of genetic factors, potentially including the single nucleotide polymorphisms (SNPs) rs2889956, rs4811117 and rs13058467, which were previously linked to MIH in a genome-wide association study of German children. The aim was to replicate analyses of possible associations between the SNPs and molar incisor hypomineralization in Polish children. Methods: The final study group consisted of 778 children aged 126–168 months old. Saliva samples were taken, and genomic DNA was extracted and genotyped using beadchip microarrays. Results: Among the 778 subjects, there were 68 (8.7%) subjects with MIH and 710 (91.3%) subjects without MIH. There were no significant differences in distributions in age, sex, or the frequency of caries in permanent dentition between the MIH and non-MIH groups. The rs2889956, rs4811117, and rs13058467 genotype distributions in the studied group conformed to the expected Hardy–Weinberg equilibria, and there were no significant differences in the distributions of their alleles or genotypes between the MIH and non-MIH groups. Conclusion: Our replication study did not confirm highly significant associations between the single nucleotide polymorphisms rs2889956, rs4811117, and rs13058467 with molar incisor hypomineralization in Polish children.
Obesity and Dental Caries in School Children
Authors: Mohajeri Amir , Berg Gabrielle , Watts April , Cheever Val Joseph , Hung Man
Published: February 2024

(1) Background: Childhood obesity and dental caries are common chronic conditions with multiple contributing factors, linked to negative health consequences and significant expenses in healthcare. The aim of this study was to assess the correlation between obesity and dental caries in school-aged children; (2) Methods: Data from 3323 6–12-year-old children from the National Health and Nutrition Examination Survey (NHANES) 2011–2016 were analyzed. The NHANES was conducted at the Centers for Disease Control and Prevention (CDC) in the United States. The CDC standard was used to define obesity. Dental caries was measured during clinical examinations and summarized using DMFT scores for caries experience and prevalence (dt > 0) for untreated caries. The study examined the correlation between obesity and dental caries using regression models that considered demographic variables, family socioeconomic status, and the child’s intake of added sugars as controlling factors; (3) Results: The association between obesity and dental caries was not significant in either unadjusted or adjusted models; and (4) Conclusion: The data indicate that untreated caries and caries experiences are not directly correlated with childhood obesity. There are, however, common causes of poor dental health and childhood obesity: culture, poverty level, lifestyle, and family traditions and habits. Dentists must be aware of factors influencing the development of childhood caries so that they can intervene as early as possible.
Should Emollients Be Recommended for the Prevention of Atopic Dermatitis?—New Evidence and Current State of Knowledge
Authors: Grześk-Kaczyńska Magdalena , Petrus-Halicka Justyna , Kaczyński Szymon , Bartuzi Zbigniew , Ukleja-Sokołowska Natalia
Published: February 2024

Introduction: Atopic dermatitis (AD) is a chronic, pruritic skin disease with complex pathogenesis, which affects about 43 million children aged 1–4 years. One of the most known methods of alleviating symptoms of AD is emollient treatment, which varies depending on formulation and additional active ingredients. There is some evidence that emollients could be used in AD prevention in high-risk children. Materials and methods: A search of the literature from Cochrane Library, PubMed and Medline was conducted between August and September 2023 with the following keywords: “atopic dermatitis”, “emollients”, and “prevention”. Only randomised clinical trials published in the last 5 years were included into the meta-analysis. Results: Considering the inclusion criteria only 11 randomized clinical trials were taken into account, and six of them proved lack of effect of emollients in the prevention of atopic dermatitis among neonates from AD risk groups. Conclusions: Emollient treatment has a good safety profile and most of the ingredients used in formulations are nonirritant for sensitive newborn and infant skin. There is some evidence of the positive effects of emollient treatment in prevention of AD in predisposed populations. The relatively high cost of emollient treatment (vs regular infant skin-care routine) would support the necessity for further evaluation of their effectiveness in nonpredisposed populations.
Two-Year Follow-Up Study of Patients with Neovascular Age-Related Macular Degeneration Undergoing Anti-VEGF Treatment during the COVID-19 Pandemic
Authors: Kim Jae-Gon , Kim Yu Cheol , Kang Kyung Tae
Published: February 2024

Background: regular intravitreal anti-vascular endothelial growth factor (VEGF) treatment is crucial for patients with neovascular age-related macular degeneration (nAMD), and delayed treatment can exacerbate disease progression. Methods: we compared the outcomes of on-time versus delayed intravitreal anti-VEGF treatment for patients with nAMD. This study was conducted during the coronavirus disease 2019 (COVID-19) pandemic with a 2-year follow-up period. The best-corrected visual acuity (BCVA) and anatomical findings were evaluated before the pandemic, during the pandemic, and at 6-, 12-, 18-, and 24-months post-pandemic. Results: The delayed and on-time groups comprised 54 and 72 patients, respectively. After the pandemic, the injection interval increased by 0.65 ± 1.51 months (p = 0.003), with 22.2% of the patients in the delayed group switching to the treat-and-extended regimen (p < 0.001). The delayed group showed greater mean BCVA deterioration (p = 0.027) and central subfield thickness (p = 0.037) at 6 months and worse maximum subretinal fluid height (p = 0.022) at 18 months than the on-time group. No difference was observed between the groups in the second year. Conclusion: the negative effects of delaying anti-VEGF treatment because of the COVID-19 pandemic can be ameliorated by changing the treatment regimen and shortening treatment intervals.
Optimization Model for Selection of the Offshore Fleet Structure
Authors: Skoko Ivica , Lušić Zvonimir , Sanchez-Varela Zaloa , Boko Zlatko
Published: February 2024

Over the past century, with an accelerated increase in world energy demand, oil remained the most intriguing energy source, while oil exploration and production evolved from an onshore to an offshore exploration and production facility. In logistic and operational planning, the supply of offshore installations is the primary dependent of offshore supply vessels (OSVs). OSVs are classified into two main specialized groups, Anchor Handling Tug Supply (AHTS) and Platform Supply Vessels (PSVs). The establishment and maintenance of offshore oil installations require considerable financial resources for the hire of OSVs, which increases the oil exploration and production operator’s overall budget. Planning the offshore fleet structure aims to reduce expenses and increase the utilization of OSVs. This work will analyze the actual data of the southwestern African offshore market based on 24/7 working time and the use analysis of marine activities to define the parameters of the offshore fleet structure. The research results will be used to develop a methodology for modeling the optimal infrastructure of the offshore fleet. With statistical data of all support vessels’ activities and the use of linear programming (LP), it is possible to determine the vessel’s employment pattern and the optimal fleet structure by type and number of OSVs.
Cross-Domain Contrastive Learning-Based Few-Shot Underwater Acoustic Target Recognition
Authors: Cui Xiaodong , He Zhuofan , Xue Yangtao , Tang Keke , Zhu Peican , Han Jing
Published: February 2024

Underwater Acoustic Target Recognition (UATR) plays a crucial role in underwater detection devices. However, due to the difficulty and high cost of collecting data in the underwater environment, UATR still faces the problem of small datasets. Few-shot learning (FSL) addresses this challenge through techniques such as Siamese networks and prototypical networks. However, it also suffers from the issue of overfitting, which leads to catastrophic forgetting and performance degradation. Current underwater FSL methods primarily focus on mining similar information within sample pairs, ignoring the unique features of ship radiation noise. This study proposes a novel cross-domain contrastive learning-based few-shot (CDCF) method for UATR to alleviate overfitting issues. This approach leverages self-supervised training on both source and target domains to facilitate rapid adaptation to the target domain. Additionally, a base contrastive module is introduced. Positive and negative sample pairs are generated through data augmentation, and the similarity in the corresponding frequency bands of feature embedding is utilized to learn fine-grained features of ship radiation noise, thereby expanding the scope of knowledge in the source domain. We evaluate the performance of CDCF in diverse scenarios on ShipsEar and DeepShip datasets. The experimental results indicate that in cross-domain environments, the model achieves accuracy rates of 56.71%, 73.02%, and 76.93% for 1-shot, 3-shot, and 5-shot scenarios, respectively, outperforming other FSL methods. Moreover, the model demonstrates outstanding performance in noisy environments.
Multibody Analysis of Wave Energy Converters and a Floating Platform in the Time Domain
Authors: Kim Dongeun , Bae Yoon Hyeok
Published: February 2024

Generally, new and renewable energy systems generate electricity by installing and operating multiple modules simultaneously. In the Republic of Korea, recent studies and developments have focused on asymmetric wave energy converters (hereafter referred to as rotors) suitable for marine environments off the western coast of Jeju. These rotors are arranged on a large floating truss-structure platform and designed to harness electricity from the rotors’ pitch motion. However, when multiple rotors operate on a platform, their behavior diverges from that of a single module due to hydrodynamic interactions between them. Moreover, because the rotors are connected to the floating platform, their motion is influenced by the platform’s dynamics. In this study, a time-domain multibody motion equation was established to analyze changes in the behavioral characteristics of the rotors, both with and without a floating platform. The hydrostatic and hydrodynamic coefficients were derived in the frequency domain using WAMIT, a commercial code based on linear potential flow theory for three-dimensional diffraction/radiation analyses. The motion equation was then applied under regular and irregular wave conditions using OrcaFlex version 11.3, a marine systems design and analysis program. The resulting behaviors were compared to elucidate the influence of the platform and hydrodynamic interactions on the rotors’ performance.
Design Process and Advanced Manufacturing of an Aquatic Surface Vehicle Hull for the Integration of a Hydrogen Power Plant Propulsion System
Authors: Renau Martínez Jordi , García Peñas Víctor , Ibáñez Arnal Manuel , Giménez Sancho Alberto , López González Eduardo , García Magariño Adelaida , Terroba Ramírez Félix , Moreno Ayerbe Francisco Javier , Sánchez López Fernando
Published: February 2024

This article presents the design and manufacturing of a hydrogen-powered unmanned aquatic surface vehicle (USV) hull. The design process comprised three stages: (1) defining the requirements for a preliminary geometry, (2) verifying the hydrodynamic hull performance using computational fluid dynamics (CFD) simulations, and (3) experimentally validating the hydrodynamic hull performance and CFD analysis results through experimental fluid dynamics in a calm water towing tank. The manufacturing process utilized additive manufacturing technologies, such as fused granular fabrication and selective laser sintering, to produce the hull and other components, including the propeller and the rudder; thermoplastic materials with carbon fiber reinforcement were employed. The experimental results demonstrate that the optimized trimaran hull exhibited low hydrodynamic resistance (7.5 N), high stability, and a smooth flow around the hull (up to 2 m/s). The design and manufacturing of the USV hull met expectations from both hydrodynamic and structural perspectives, and future work was outlined to integrate a power plant, navigation system, and scientific equipment.
Early Developmental Exposure to Triclosan Impacts Fecal Microbial Populations, IgA and Functional Activities of the Rat Microbiome
Authors: Lahiani Mohamed , Gokulan Kuppan , Sutherland Vicki , Cunny Helen C. , Cerniglia Carl E. , Khare Sangeeta
Published: February 2024

Triclosan (TCS), a broad-spectrum antibacterial chemical, is detected in human urine, breast milk, amniotic fluid, and feces; however, little is known about its impact on the intestinal microbiome and host mucosal immunity during pregnancy and early development. Pregnant female rats were orally gavaged with TCS from gestation day (GD) 6 to postpartum (PP) day 28. Offspring were administered TCS from postnatal day (PND) 12 to 28. Studies were conducted to assess changes in the intestinal microbial population (16S-rRNA sequencing) and functional analysis of microbial genes in animals exposed to TCS during pregnancy (GD18), and at PP7, PP28 and PND28. Microbial abundance was compared with the amounts of TCS excreted in feces and IgA levels in feces. The results reveal that TCS decreases the abundance of Bacteroidetes and Firmicutes with a significant increase in Proteobacteria. At PND28, total Operational Taxonomic Units (OTUs) were higher in females and showed correlation with the levels of TCS and unbound IgA in feces. The significant increase in Proteobacteria in all TCS-treated rats along with the increased abundance in OTUs that belong to pathogenic bacterial communities could serve as a signature of TCS-induced dysbiosis. In conclusion, TCS can perturb the microbiome, the functional activities of the microbiome, and activate mucosal immunity during pregnancy and early development.
The Decarbonization Effect of the Urban Polycentric Structure: Empirical Evidence from China
Authors: Yang Xu , Zou Xuan , Li Ming , Wang Zeyu
Published: February 2024

This study conducts an empirical investigation into the decarbonization effects of urban polycentric structures, exploring their mechanisms and varied influences. Our findings reveal key insights. First, urban polycentric structures effectively reduce carbon emission intensity, a conclusion supported by robust tests and endogeneity analysis. Second, our analysis shows that polycentric structures significantly alleviate downtown overcrowding, reducing carbon emission intensity. These structures also impact carbon emissions through factors like labor allocation across industries and the entry of high-productivity enterprises. Third, our analysis shows that the impact of the polycentric structure on carbon emission intensity follows a ‘U-shaped’ pattern. In this ‘U-shaped’ pattern, the growth of an urban population scale can offset the potential negative impacts of this structure. Finally, government support, urban transportation networks, and communication technologies are crucial in enhancing the effectiveness of polycentric decarbonization. Our research contributes to the literature on polycentric structures and carbon emissions and offers policy implications for addressing climate change, applicable not only to China but also to other economies.
Overview of the Eutrophication in Romanian Lakes and Reservoirs
Authors: Dumitran Gabriela Elena , Vuta Liana Ioana , Popa Bogdan
Published: February 2024

In this paper, attention is drawn to the deterioration of Romanian surface water ecosystems due to eutrophication, an important environmental issue both at national and international levels. An inventory of existing studies dealing with the issue of the eutrophication of lakes and reservoirs in Romania is made, aiming to identify the main problems Romania is facing in monitoring, classifying, and managing eutrophic ecosystems. On Web of Science, the keyword “Eutrophication”, with “Romania” as country/region, leads to 50 publications, which are analyzed in this review. The number of articles found does not reflect the real environmental issue represented by eutrophic lakes and reservoirs in Romania. At a national level, only 126 lakes and reservoirs have been monitored and assessed between 2018 and 2020, in terms of ecological status/ecological potential. Thus, at a global evaluation, 77% of natural lakes and 33% of artificial ones do not reach the quality objectives. The results of this study showed that the frequency of measurements taken by water quality indicators is not the strongest point of measurement campaigns, as it is not sufficient for the diagnosis of eutrophic lakes, and supplementary measures must be undertaken to better understand and mitigate this phenomenon.
Research on Spraying Quality Prediction Algorithm for Automated Robot Spraying Based on KHPO-ELM Neural Network
Authors: Ling Le , Zhang Xuejian , Hu Xiaobing , Fu Yucong , Yang Dongming , Liang Enpei , Chen Yi
Published: February 2024

In the intelligent transformation of spraying operations, the investigation into the robotic spraying process holds significant importance. The spraying process, however, falls within the realm of experience-driven technology, characterized by high complexity, diverse parameters, and coupling effects. Moreover, the quality of manual spraying processes relies entirely on manual experience. Thus, the crux of the intelligent transformation of spraying robots lies in establishing a mapping model between the spraying process and the resultant spraying quality. To address the challenge of intelligently transforming empirical spraying processes and achieving the mapping from the spraying process to spraying quality, an algorithm employing an enhanced extreme learning machine-based neural network is proposed for predicting spraying process parameters with respect to the evaluation index of spraying quality. In this approach, an algorithmic model based on the Extreme Learning Machine (ELM) neural network is initially constructed utilizing five spraying process parameters: spraying speed, spraying height, spraying width pressure, atomization pressure, and oil spraying pressure. Two spraying quality evaluation indexes, namely average film thickness at the center point and surface roughness, are also incorporated. Subsequently, the prediction neural network is optimized using the K-means improved predator optimization algorithm (KHPO) to enhance the model’s prediction accuracy. This optimization step aims to improve the efficiency of the model in predicting spraying quality based on the specified process parameters. Finally, data collection and model validation for the spraying quality prediction algorithm are conducted using a designed robotic automated waterborne paint spraying experimental system. The experimental results demonstrate a significant reduction in the prediction error of the KHPO-ELM neural network model for the average film thickness center point, showcasing a decrease of 61.95% in comparison to the traditional ELM neural network and 50.81% in comparison to the BP neural network. Likewise, the improved neural network model yields a 2.31% decrease in surface roughness prediction error compared to the traditional ELM neural network and a substantial 54.0% reduction compared to the BP neural network. Consequently, the KHPO-ELM neural network, incorporating the prediction algorithm, effectively facilitates the prediction of multi-spraying process parameters for the center point of average film thickness and surface roughness in automated robot spraying. Notably, the prediction algorithm exhibits a commendable level of accuracy in these predictions.
Improved Synchronous Sampling and Its Application in High-Speed Railway Bearing Damage Detection
Authors: Wang Kun , Huang Yukun , Zhang Baoqiang , Luo Huageng , Yu Xiang , Chen Dawei , Zhang Zhiqiang
Published: February 2024

Synchronous analysis is one of the most effective and practical techniques in rotating machinery diagnostics, especially in cases with variable speed operations. A modern analog-to-digital convertor (ADC) usually digitizes an analog signal to an equal time interval data series. Synchronous resampling converts the data series from an equal time interval data series to an equal shaft rotation angle interval data series. This conversion is usually achieved in the digital domain with the aid of shaft speed information, through either direct measurement or identification from a measured vibration signal, which is a time-consuming process. In order to improve the computational efficiency as well as the data processing accuracy, in this paper, a fast synchronous time-point calculation method based on an inverse function interpolation procedure is proposed. By identifying the inverse function of the instantaneous phase with respect to time, the calculation process of synchronous time points is optimized, which results in improved calculation efficiency and accuracy. These advantages are demonstrated by numerical simulations as well as experimental verifications. The numerical simulation results show that the proposed method can improve calculation speed by about five times. The synchronous analysis based on the proposed method was applied to a bearing fault detection in a high-speed rail carriage, which demonstrated the advantages of the proposed algorithm in improving the signal-to-noise ratio (SNR) for bearing damage feature extraction.
DC Series Arc Fault Diagnosis Scheme Based on Hybrid Time and Frequency Features Using Artificial Learning Models
Authors: Dang Hoang-Long , Kwak Sangshin , Choi Seungdeog
Published: February 2024

DC series arc faults pose a significant threat to the reliability of DC systems, particularly in DC generation units where aging components and high voltage levels contribute to their occurrence. Recognizing the severity of this issue, this study aimed to enhance DC arc fault detection by proposing an advanced recognition procedure. The methodology involves a sophisticated combination of current filtering using the Three-Sigma Rule in the time domain and the removal of switching noise in the frequency domain. To further enhance the diagnostic capabilities, the proposed method utilizes time and frequency signals generated from power supply-side signals as a reference input. The time–frequency features extracted from the filtered signals are then combined with artificial learning models. This fusion of advanced signal processing and machine learning techniques aims to capitalize on the strengths of both domains, providing a more comprehensive and effective means of detecting arc faults. The results of this detection process validate the effectiveness and consistency of the proposed DC arc failure identification schematic. This research contributes to the advancement of fault detection methodologies in DC systems, particularly by addressing the challenges associated with distinguishing arc-related distortions, ultimately enhancing the safety and dependability of DC electrical systems.
Asymptotic and Oscillatory Analysis of Fourth-Order Nonlinear Differential Equations with p-Laplacian-like Operators and Neutral Delay Arguments
Authors: Alatwi Mansour , Moaaz Osama , Albalawi Wedad , Masood Fahd , El-Metwally Hamdy
Published: February 2024

This paper delves into the asymptotic and oscillatory behavior of all classes of solutions of fourth-order nonlinear neutral delay differential equations in the noncanonical form with damping terms. This research aims to improve the relationships between the solutions of these equations and their corresponding functions and derivatives. By refining these relationships, we unveil new insights into the asymptotic properties governing these solutions. These insights lead to the establishment of improved conditions that ensure the nonexistence of any positive solutions to the studied equation, thus obtaining improved oscillation criteria. In light of the broader context, our findings extend and build upon the existing literature in the field of neutral differential equations. To emphasize the importance of the results and their applicability, this paper concludes with some examples.