bluuebunny/crossref_metadata_2025 huggingface dataset:
Estimating Tail Risk in Ultra-High-Frequency Cryptocurrency Data
Authors: Giannopoulos Kostas , Nekhili Ramzi , Christodoulou-Volos Christos
Published: October 2024

Understanding the density of possible prices in one-minute intervals provides traders, investors, and financial institutions with the data necessary for making informed decisions, managing risk, optimizing trading strategies, and enhancing the overall efficiency of the cryptocurrency market. While high accuracy is critical for researchers and investors, market nonlinearity and hidden dependencies pose challenges. In this study, the filtered historical simulation is used to generate pathways for the next hour on the one-minute step for Bitcoin and Ethereum quotes. The innovations in the simulation are standardized historical returns resampled with the method of block bootstrapping, which helps to capture any hidden dependencies in the residuals of a conditional parameterization in the mean and variance. Ordinary bootstrapping requires the feed innovations to be free of any dependencies. To deal with complex data structures and dependencies found in ultra-high-frequency data, this study employs block bootstrap to resample contiguous segments, thereby preserving the sequential dependencies and sectoral clustering within the market. These techniques enhance decision-making and risk measures in investment strategies despite the complexities inherent in financial data. This offers a new dimension in measuring the market risk of cryptocurrency prices and can help market participants price these assets, as well as improve the timing of their entry and exit trades.
Unveiling the Role of Schwann Cell Plasticity in the Pathogenesis of Diabetic Peripheral Neuropathy
Authors: Abd Razak Nurul Husna , Idris Jalilah , Hassan Nur Hidayah , Zaini Fazlin , Muhamad Noorzaid , Daud Muhammad Fauzi
Published: October 2024

Diabetic peripheral neuropathy (DPN) is a prevalent complication of diabetes that affects a significant proportion of diabetic patients worldwide. Although the pathogenesis of DPN involves axonal atrophy and demyelination, the exact mechanisms remain elusive. Current research has predominantly focused on neuronal damage, overlooking the potential contributions of Schwann cells, which are the predominant glial cells in the peripheral nervous system. Schwann cells play a critical role in neurodevelopment, neurophysiology, and nerve regeneration. This review highlights the emerging understanding of the involvement of Schwann cells in DPN pathogenesis. This review explores the potential role of Schwann cell plasticity as an underlying cellular and molecular mechanism in the development of DPN. Understanding the interplay between Schwann cell plasticity and diabetes could reveal novel strategies for the treatment and management of DPN.
Antimicrobial Peptides Derived from Bacteria: Classification, Sources, and Mechanism of Action against Multidrug-Resistant Bacteria
Authors: Mihaylova-Garnizova Raynichka , Davidova Slavena , Hodzhev Yordan , Satchanska Galina
Published: October 2024

Antimicrobial peptides (AMPs) are short, usually cationic peptides with an amphiphilic structure, which allows them to easily bind and interact with the cellular membranes of viruses, bacteria, fungi, and other pathogens. Bacterial AMPs, or bacteriocins, can be produced from Gram-negative and Gram-positive bacteria via ribosomal synthesis to eliminate competing organisms. Bacterial AMPs are vital in addressing the increasing antibiotic resistance of various pathogens, potentially serving as an alternative to ineffective antibiotics. Bacteriocins have a narrow spectrum of action, making them highly specific antibacterial compounds that target particular bacterial pathogens. This review covers the two main groups of bacteriocins produced by Gram-negative and Gram-positive bacteria, their modes of action, classification, sources of positive effects they can play on the human body, and their limitations and future perspectives as an alternative to antibiotics.
Combining Photodynamic Therapy and Targeted Drug Delivery Systems: Enhancing Mitochondrial Toxicity for Improved Cancer Outcomes
Authors: Merlin J. P. Jose , Crous Anine , Abrahamse Heidi
Published: October 2024

Cancer treatment continues to be a substantial problem due to tumor complexities and persistence, demanding novel therapeutic techniques. This review investigates the synergistic potential of combining photodynamic therapy (PDT) and tailored medication delivery technologies to increase mitochondrial toxicity and improve cancer outcomes. PDT induces selective cellular damage and death by activating photosensitizers (PS) with certain wavelengths of light. However, PDT’s efficacy can be hampered by issues such as poor light penetration and a lack of selectivity. To overcome these challenges, targeted drug delivery systems have emerged as a promising technique for precisely delivering therapeutic medicines to tumor cells while avoiding off-target effects. We investigate how these technologies can improve mitochondrial targeting and damage, which is critical for causing cancer cell death. The combination method seeks to capitalize on the advantages of both modalities: selective PDT activation and specific targeted drug delivery. We review current preclinical and clinical evidence supporting the efficacy of this combination therapy, focusing on case studies and experimental models. This review also addresses issues such as safety, distribution efficiency, resistance mechanisms, and costs. The prospects of further research include advances in photodynamic agents and medication delivery technology, with a focus on personalized treatment. In conclusion, combining PDT with targeted drug delivery systems provides a promising frontier in cancer therapy, with the ability to overcome current treatment limits and open the way for more effective, personalized cancer treatments.
The Complex Interplay of TGF-β and Notch Signaling in the Pathogenesis of Fibrosis
Authors: Bakalenko Nadezhda , Kuznetsova Evdokiya , Malashicheva Anna
Published: October 2024

Fibrosis is a major medical challenge, as it leads to irreversible tissue remodeling and organ dysfunction. Its progression contributes significantly to morbidity and mortality worldwide, with limited therapeutic options available. Extensive research on the molecular mechanisms of fibrosis has revealed numerous factors and signaling pathways involved. However, the interactions between these pathways remain unclear. A comprehensive understanding of the entire signaling network that drives fibrosis is still missing. The TGF-β and Notch signaling pathways play a key role in fibrogenesis, and this review focuses on their functional interplay and molecular mechanisms. Studies have shown synergy between TGF-β and Notch cascades in fibrosis, but antagonistic interactions can also occur, especially in cardiac fibrosis. The molecular mechanisms of these interactions vary depending on the cell context. Understanding these complex and context-dependent interactions is crucial for developing effective strategies for treating fibrosis.
Proteomic Evidence for Amyloidogenic Cross-Seeding in Fibrinaloid Microclots
Authors: Kell Douglas B. , Pretorius Etheresia
Published: October 2024

In classical amyloidoses, amyloid fibres form through the nucleation and accretion of protein monomers, with protofibrils and fibrils exhibiting a cross-β motif of parallel or antiparallel β-sheets oriented perpendicular to the fibre direction. These protofibrils and fibrils can intertwine to form mature amyloid fibres. Similar phenomena can occur in blood from individuals with circulating inflammatory molecules (and also some originating from viruses and bacteria). Such pathological clotting can result in an anomalous amyloid form termed fibrinaloid microclots. Previous proteomic analyses of these microclots have shown the presence of non-fibrin(ogen) proteins, suggesting a more complex mechanism than simple entrapment. We thus provide evidence against such a simple entrapment model, noting that clot pores are too large and centrifugation would have removed weakly bound proteins. Instead, we explore whether co-aggregation into amyloid fibres may involve axial (multiple proteins within the same fibril), lateral (single-protein fibrils contributing to a fibre), or both types of integration. Our analysis of proteomic data from fibrinaloid microclots in different diseases shows no significant quantitative overlap with the normal plasma proteome and no correlation between plasma protein abundance and their presence in fibrinaloid microclots. Notably, abundant plasma proteins like α-2-macroglobulin, fibronectin, and transthyretin are absent from microclots, while less abundant proteins such as adiponectin, periostin, and von Willebrand factor are well represented. Using bioinformatic tools, including AmyloGram and AnuPP, we found that proteins entrapped in fibrinaloid microclots exhibit high amyloidogenic tendencies, suggesting their integration as cross-β elements into amyloid structures. This integration likely contributes to the microclots’ resistance to proteolysis. Our findings underscore the role of cross-seeding in fibrinaloid microclot formation and highlight the need for further investigation into their structural properties and implications in thrombotic and amyloid diseases. These insights provide a foundation for developing novel diagnostic and therapeutic strategies targeting amyloidogenic cross-seeding in blood clotting disorders.
Utilizing LSTM-GRU for IOT-Based Water Level Prediction Using Multi-Variable Rainfall Time Series Data
Authors: Widiasari Indrastanti Ratna , Efendi Rissal
Published: October 2024

This research describes experiments using LSTM, GRU models, and a combination of both to predict floods in Semarang based on time series data. The results show that the LSTM model is superior in capturing long-term dependencies, while GRU is better in processing short-term patterns. By combining the strengths of both models, this hybrid approach achieves better accuracy and robustness in flood prediction. The LSTM-GRU hybrid model outperforms the individual models, providing a more reliable prediction framework. This performance improvement is due to the complementary strengths of LSTM and GRU in handling various aspects of time series data. These findings emphasize the potential of advanced neural network models in addressing complex environmental challenges, paving the way for more effective flood management strategies in Semarang. The performance graph of the LSTM, GRU, and LSTM-GRU models in various scenarios shows significant differences in the performance of predicting river water levels based on rainfall input. The MAPE, MSE, RMSE, and MAD metrics are presented for training and validation data in six scenarios. Overall, the GRU model and the LSTM-GRU combination provide good performance when using more complete input variables, namely, downstream and upstream rainfall, compared to only using downstream rainfall.
A Sequence-Based Hybrid Ensemble Approach for Estimating Trail Pavement Roughness Using Smartphone and Bicycle Data
Authors: Alatoom Yazan Ibrahim , Zihan Zia U. , Nlenanya Inya , Al-Hamdan Abdallah B. , Smadi Omar
Published: October 2024

Trail pavement roughness significantly impacts user experience and safety. Measuring roughness over large areas using traditional equipment is challenging and expensive. The utilization of smartphones and bicycles offers a more feasible approach to measuring trail roughness, but the current methods to capture data using these have accuracy limitations. While machine learning has the potential to improve accuracy, there have been few applications of real-time roughness evaluation. This study proposes a hybrid ensemble machine learning model that combines sequence-based modeling with support vector regression (SVR) to estimate trail roughness using smartphone sensor data mounted on bicycles. The hybrid model outperformed traditional methods like double integration and whole-body vibration in roughness estimation. For the 0.031 mi (50 m) segments, it reduced RMSE by 54–74% for asphalt concrete (AC) trails and 50–59% for Portland cement concrete (PCC) trails. For the 0.31 mi (499 m) segments, RMSE reductions of 37–60% and 49–56% for AC and PCC trails were achieved, respectively. Additionally, the hybrid model outperformed the base random forest model by 17%, highlighting the effectiveness of combining ensemble learning with sequence modeling and SVR. These results demonstrate that the hybrid model provides a cost-effective, scalable, and highly accurate alternative for large-scale trail roughness monitoring and assessment.
Banker Plant Efficacy to Boost Natural Predators for Management of Field Populations of Scirtothrips dorsalis Hood (Thysanoptera Thripidae) in Strawberries
Authors: Busuulwa Allan , Revynthi Alexandra M. , Liburd Oscar E. , Lahiri Sriyanka
Published: October 2024

Since 2015, Scirtothrips dorsalis Hood has emerged as the main pest of strawberries in Florida. Given the limited management options, there is a recognized need to expand on the management strategies for this pest. Therefore, we explored the possibility of using banker plants to recruit naturally occurring predators of thrips into strawberry fields to suppress S. dorsalis. The study began in the 2021–2022 strawberry season where five banker plants were screened to determine which ones could consistently attract thrips predators by flowering throughout the strawberry season. Capsicum annum L. (ornamental pepper) and Lobularia maritima L. (sweet alyssum) were selected for further evaluation. In the 2022–2023 strawberry season, using a randomized complete block design we assessed the capability of these banker plants to attract thrips predators into the strawberry field. In addition, we examined how the banker plant distance from the strawberry plants influenced the S. dorsalis pest suppression. Our results showed that strawberries located within 3.7 m of ornamental pepper plants had less leaf damage from S. dorsalis compared with those farther away, which may result from the repellent effect of the ornamental peppers. Additionally, Geocoris spp. and Orius spp. were identified as the main thrips predators in the system, although in relatively low numbers. Therefore, these results highlight the potential of incorporating ornamental pepper as a banker plant in strawberry production. Additional applications of this research are explored below.
Comparative Study of Potential Habitats for Two Endemic Grassland Caterpillars on the Qinghai-Tibet Plateau Based on BIOMOD2 and Land Use Data
Authors: Li Chuanji , Liu Yunxiang , Lai Youpeng , Shao Hainan
Published: October 2024

This study has systematically investigated and compared the geographical distribution patterns and population density of G. menyuanensis (Gm) and G. qinghaiensis (Gq), which are endemic to the QTP region and inflict severe damage. Using a method combining the BIOMOD2 integration model (incorporating nine ecological niche models) and current species distribution data, this study has compared changes in potential habitats and distribution centers of these two species during ancient, present, and future climate periods and conducted a correlation test on the prediction results with land use types. The study results indicate that there are differences in geographical distribution patterns, distribution elevations, and population density of these two species. Compared with single models, the integration model exhibits prominent accuracy and stability with higher KAPPA, TSS, and AUC values. The distribution of suitable habitats for these two species is significantly affected by climatic temperature and precipitation. There is a significant difference between the potential habitats of these two species. Gm and Gq are distributed in the northeastern boundary area and the central and eastern areas of the QTP, respectively. The areas of their suitable habitats are significantly and positively correlated with the area of grassland among all land use types of QTP, with no correlations with the areas of other land use types of QTP. The potential habitats of both species during the paleoclimate period were located in the eastern and southeastern boundary areas of the QTP. During the paleoclimate period, their potential habitats expanded towards the Hengduan Mountains (low-latitude regions) in the south compared with their current suitable habitats. With the subsequent temperature rising, their distribution centers shifted towards the northeast (high-latitude) regions, which could validate the hypothesis that the Hengduan Mountains were refuges for these species during the glacial period. In the future, there will be more potential suitable habitats for these two species in the QTP. This study elucidates the ecological factors affecting the current distribution of these grass caterpillars, provides an important reference for designating the prevention and control areas for Gm and Gq, and helps protect the alpine meadow ecosystem in the region.
Aortic Aneurysm with and without Dissection and Concomitant Atherosclerosis—Differences in a Retrospective Study
Authors: Suslov Andrey V. , Kirichenko Tatiana V. , Omelchenko Andrey V. , Chumachenko Petr V. , Ivanova Alexandra , Zharikov Yury , Markina Yuliya V. , Markin Alexander M. , Postnov Anton Yu.
Published: October 2024

Background: Thoracic aortic aneurysm is a latent disease with a high risk of death. Today, as data are accumulating, an estimation of the differences in thoracic aneurysm in men and women of different age groups is required. The present study evaluated the type of atherosclerotic aortic lesions in males and females at different ages regarding the presence or absence of aortic dissection. Methods: A retrospective analysis of clinical and morphological data of 43 patients with thoracic aortic aneurysm was carried out. Patients were divided into groups based on the presence or absence of thoracic aneurysm dissection. Results: Our results of a comparative analysis of the age of study participants showed that patients with aneurysm dissection were younger than patients without dissection. In the subgroup of patients with aortic dissection, the mean age was 50.6 years old, and in patients without aortic dissection, the mean age was 55.0 years old. When conducting a frequency analysis using Fisher’s exact test, it was found that in men and women aneurysm dissection was not associated with atherosclerotic lesions of the aorta. Conclusions: In women and men, aneurysm dissection was not associated with stage of atherosclerotic lesions of the aorta regardless of age; no statistically significant differences were found between the groups with and without aneurysm dissection (p > 0.05). Dissection of the thoracic aneurysm developed in the absence of severe atherosclerosis of the thoracic aorta. Only 18.6% men and women possessed atherosclerotic plaques of types IV and V.
Comparative Analysis of Verapamil Pharmacokinetics: Evaluating the Impact of Simple Suspension and Crushing Administration Methods
Authors: Kumagai Sumito , Sambe Takehiko , Shibata Keita , Mizukami Takuya , Morohoshi Hokuto , Ryu Kakei , Yamazaki Taigi , Takenoshita Sachiko , Matsukawa Shunsuke , Goibuchi Saki , Uchida Naoki , Kurata Naomi , Hida Noriko
Published: October 2024

Background/Objective: It is not uncommon for elderly patients to experience difficulties with feeding and swallowing. In the simple suspension method, tablets are dissolved and suspended in warm water without prior crushing or decapsulation, and then administered via a tube. Despite the prevalence of this method, the pharmacokinetics of suspended tablet dosage forms remain poorly understood. Methods: Verapamil was employed in dissolution tests following both the simple suspension and crushing methods. A pharmacokinetics study was conducted on healthy adult males. Results: The resultant dissolution profiles from the two methods exhibited notable dissimilarities. Drug release from the crushed product commenced earlier than that from the simple suspension and intact tablet. Furthermore, the area under the curve for verapamil during the initial 24 h period was 1.7 and 1.3 times greater in the crushed and simple suspension groups, respectively, than in the tablet group. Conclusions: The crushing and simple suspension methods are safe techniques for administering medications to patients with dysphagia, thereby preventing aspiration. Nevertheless, the processing of medications may result in an increased frequency of adverse effects. It is recommended that the processing of medicines prior to administration be avoided.
Discrepancies in ChatGPT’s Hip Fracture Recommendations in Older Adults for 2021 AAOS Evidence-Based Guidelines
Authors: Kim Hong Jin , Yoon Pil Whan , Yoon Jae Youn , Kim Hyungtae , Choi Young Jin , Park Sangyoon , Moon Jun-Ki
Published: October 2024

Background: This study aimed to assess the reproducibility and reliability of Chat-Based GPT (ChatGPT)’s responses to 19 statements regarding the management of hip fractures in older adults as adopted by the American Academy of Orthopaedic Surgeons’ (AAOS) evidence-based clinical practice guidelines. Methods: Nineteen statements were obtained from the 2021 AAOS evidence-based clinical practice guidelines. After generating questions based on these 19 statements, we set a prompt for both the GPT-4o and GPT-4 models. We repeated this process three times at 24 h intervals for both models, producing outputs A, B, and C. ChatGPT’s performance, the intra-ChatGPT reliability, and the accuracy rates were assessed to evaluate the reproducibility and reliability of the hip fracture-related guidelines. Regarding the strengths of the recommendation compared with the 2021 AAOS guidelines, we observed accuracy of 0.684, 0.579, and 0.632 for outputs A, B, and C, respectively. Results: The precision was 0.740, 0.737, and 0.718 in outputs A, B, and C, respectively. For the reliability of the strengths of the recommendation, the Fleiss kappa was 0.409, indicating a moderate level of agreement. No statistical differences in the strengths of the recommendation were observed in outputs A, B, and C between the GPT-4o and GPT-4 versions. Conclusion: ChatGPT may be useful in providing guidelines for hip fractures but performs poorly in terms of accuracy and precision. However, hallucinations remain an unresolved limitation associated with using ChatGPT to search for hip fracture guidelines. The effective utilization of ChatGPT as a patient education tool for the management of hip fractures should be addressed in the future.
The Impact of Type 2 Diabetes Mellitus on Non-Surgical Periodontal Treatment: A Non-Randomized Clinical Trial
Authors: Belizário Lícia Clara Garcia , Figueredo Carlos Marcelo S. , Rodrigues João Victor Soares , Cirelli Thamiris , de Molon Rafael Scaf , Garcia Valdir Gouveia , Theodoro Letícia Helena
Published: October 2024

Background/Objectives: Periodontitis (P), a chronic inflammatory condition that affects the supportive tissues around the teeth, is three to four times more prevalent in individuals with diabetes mellitus (DM), with a direct correlation between its severity and the levels of glycosylated hemoglobin (HbA1c). This study aimed to evaluate the periodontal clinical parameters following non-surgical periodontal treatment (NSPT) in P patients with or without type 2 DM. Methods: Forty patients with P were divided into two groups: Group DM/P and Group P. All the patients were assessed at baseline and at 90 and 180 days after receiving NSPT. The parameters evaluated included the HbA1c level, plaque index (PI), probing pocket depth (PPD), clinical attachment level (CAL), and bleeding on probing (BoP). A statistical analysis was performed with a significance level set at α = 5%. Results: There were significant differences in the HbA1c levels between the DM/P and P groups at baseline, 90, and 180 days, as expected. Importantly, the HbA1c levels did not change after NSPT. Group P showed a significant reduction in both the PI and the BoP values at 90 and 180 days (p < 0.05). In contrast, Group DM/P demonstrated a significant increase in the percentage of sites with a PPD ≥ 5 mm at 180 days (p < 0.05). Additionally, Group P exhibited an increase in sites with a PPD ≤ 4 mm and a decrease in sites with a PPD ≥ 5 mm at both 90 and 180 days (p < 0.05). Conclusions: Our findings suggest that DM may compromise the effectiveness of NSPT, potentially hindering favorable outcomes during the follow-up period.
Quality-of-Life- and Cognitive-Oriented Rehabilitation Program through NeuronUP in Older People with Alzheimer’s Disease: A Randomized Clinical Trial
Authors: Fabara-Rodríguez Anthia Cristina , García-Bravo Cristina , García-Bravo Sara , Quirosa-Galán Isabel , Rodríguez-Pérez Mª Pilar , Pérez-Corrales Jorge , Fernández-Gómez Gemma , Donovan Madeleine , Huertas-Hoyas Elisabet
Published: October 2024

(1) Background: Alzheimer’s disease (AD) is a progressive neurodegenerative disorder marked by cognitive decline and functional impairment. The NeuronUP platform is a computer program whose main function is cognitive stimulation through three types of activities that change so that the user does not manage to learn it. This program provides opportunities to work on various domains, including activities of daily living (ADLs), social skills, and cognitive functions. The main objective of this randomized clinical trial was to assess the impact of integrating the NeuronUP platform with conventional occupational therapy to enhance or maintain cognitive, perceptual, and quality of life (QoL) abilities in people with AD compared to a control group. (2) Methods: A randomized, single-blind clinical trial was conducted. The sample was randomized using a software program, OxMar, which allowed the separation of the sample into a control group (CG) that received their conventional occupational therapy sessions and an experimental group (EG) that received therapy with NeuronUP, in addition to their conventional occupational therapy sessions. An eighteen-week intervention was conducted. (3) Results: The study included 20 participants, and significant differences were observed in most variables analyzed, indicating improvements after the intervention, particularly in measures of QoL and cognitive status. (4) Conclusions: Our findings demonstrate that an eighteen-week experimental protocol, incorporating the NeuronUP platform alongside conventional occupational therapy, led to improvements in cognitive status and QoL in older adults with AD. Thus, integrating the NeuronUP platform as a complementary tool to occupational therapy can be a valuable resource for enhancing the QoL of individuals with AD. However, due to the small sample size, further studies are needed to corroborate these findings.
Pre-Transplant Dual-Energy X-ray Absorptiometry (DXA)-Derived Body Composition Measures as Predictors of Treatment Outcomes and Early Post-Transplant Complications in Patients with Multiple Myeloma (MM) Treated with Autologous Hematopoietic Stem Cell Transplantation (AutoHSCT)
Authors: Jabłonowska-Babij Paula , Jędrzejuk Diana , Majcherek Maciej , Szeremet Agnieszka , Karasek Magdalena , Kuszczak Bartłomiej , Kujawa Krzysztof , Sitkiewicz Milena , Landwójtowicz Marcin , Wróbel Tomasz , Tomasiewicz Maciej , Czyż Anna
Published: October 2024

Background/Objectives: Changes in muscle mass and bone density are common in multiple myeloma (MM) patients. Dual-energy X-ray absorptiometry (DXA) offers precise, non-invasive insights into a patient’s physical condition before autologous stem cell transplantation (autoHSCT). This study examines how pre-transplant body composition impacts treatment outcomes and early complications in MM patients undergoing autoHSCT. Methods: This study is a single-center, retrospective analysis of patients with MM who were treated with first or second autoHSCT and underwent DXA pre-transplant between 11 August 2019 and 12 June 2024. Results: We conducted a study of pre-transplant body composition in 127 patients with MM. Among them, 108 (85%) qualified for first autoHSCT, while 19 (15%) qualified for a second. The median age of the patients was 64 years (range 50–73). In the Cox proportional hazards regression conducted in the group of women, Total Body %Fat was a statistically significant predictor for progression-free survival (PFS) (HR = 0.07, 95% CI = 0.01,0.6, p = 0.0157). In the Mann–Whitney U test conducted on males, Lean Mass/Height2 and Appen. Lean Height2 were statistically significant predictors of early infections after autoHSCT (Z = 1.98, p = 0.0473 and Z = 2.32, p = 0.0204, respectively). In males, Fat Mass/Height2 was a significant predictor of non-infectious toxicity related to treatment (Z = −1.98, p = 0.0476). Conclusions: In women, higher levels of adipose tissue initially appear to exert a protective effect; however, this benefit diminishes over time, with greater fat mass eventually correlating with an increased risk of disease progression. In men, muscle mass has been identified as a significant predictor of early infection risk post-autoHSCT. Furthermore, our findings indicate that an increased amount of adipose tissue in men is statistically associated with a higher risk of non-infectious treatment-related toxicity. These conclusions highlight the critical need for further investigation into the role of body composition.
The Role of Different Feedback Devices in the Survival of Patients in Cardiac Arrest: Systematic Review with Meta-Analysis
Authors: Gambolò Luca , Di Fronzo Pasquale , Ristagno Giuseppe , Biserni Sofia , Milazzo Martina , Socaci Delia Marta , Sarli Leopoldo , Artioli Giovanna , Bonacaro Antonio , Stirparo Giuseppe
Published: October 2024

Background: Cardiac arrest is a critical condition affecting approximately 1 in every 1000 people in Europe. Feedback devices have been developed to enhance the quality of chest compressions during CPR, but their clinical impact remains uncertain. This study aims to evaluate the effect of feedback devices on key clinical outcomes in adult patients experiencing both out-of-hospital (OHCA) and in-hospital cardiac arrest (IHCA). The primary objective is to assess their impact on the return of spontaneous circulation (ROSC); secondary objectives include the evaluation of neurological status and survival to discharge. Methods: A systematic review was conducted following PRISMA guidelines, utilizing databases including PubMed, Scopus, Web of Science, and Embase. Studies published between 2000 and 2023 comparing CPR with and without the use of feedback devices were included. A fixed-effects network meta-analysis was performed for ROSC and survival, while a frequentist meta-analysis was conducted for neurological outcomes. Results: Twelve relevant studies met the inclusion criteria. The meta-analysis results showed that the use of audiovisual feedback devices significantly increases the likelihood of ROSC (OR 1.26, 95% CI 1.13–1.41, p < 0.0001) and survival (OR 1.52, 95% CI 1.27–1.81, p < 0.0001) compared to CPR without feedback. However, the effect of metronomes did not reach statistical significance. Conclusions: Feedback devices, particularly audiovisual ones, are associated with improved clinical outcomes in cardiac arrest patients. Their use should be encouraged in both training settings and real-life emergency scenarios to enhance survival rates and ROSC. However, further studies are needed to confirm long-term impacts and to explore the potential benefits of metronomes.
Estetrol Inhibits the Prostate Cancer Tumor Stimulators FSH and IGF-1
Authors: Coelingh Bennink Herjan J. T. , Roos Erik P. M. , van Moorselaar R. Jeroen A. , van Melick Harm H. E. , Somford Diederik M. , Roeleveld Ton A. , de Haan Tjard D. , Reisman Yacov , Schultz Iman J. , Krijgh Jan , Debruyne Frans M. J.
Published: October 2024

Background: The co-treatment of androgen deprivation therapy (ADT) for advanced prostate cancer (PCa) with the fetal estrogen estetrol (E4) may further inhibit endocrine PCa tumor stimulators. We previously reported the suppression of follicle-stimulating hormone (FSH), total and free testosterone, and prostate-specific antigen by ADT+E4. Here, we provide more detailed data on FSH suppression by E4 and present new findings on the effect of ADT+E4 on insulin-like growth factor-1 (IGF-1). Methods: A Phase II, double-blind, randomized, placebo-controlled study (the PCombi study) was conducted in advanced PCa patients treated with ADT. The study assessed the effect of E4 co-treatment with LHRH agonist ADT on tumor stimulators, including FSH and IGF-1. Patients starting ADT were randomized 2:1 to receive either 40 mg E4 (n = 41) or placebo (n = 21) for 24 weeks. Non-parametric analyses were performed on the per-protocol population (PP) and individual changes were visualized. Results: The PP included 57 patients (37 ADT+E4; 20 ADT+placebo). ADT+E4 almost completely suppressed FSH in all patients (98% versus 37%; p < 0.0001). IGF-1 levels decreased by 41% with ADT+E4 versus an increase of 10% with ADT+placebo (p < 0.0001). Conclusions: The almost complete suppression of the tumor stimulator FSH using ADT plus E4 observed in all individual patients in this study, along with the augmented suppression of IGF-1 versus an increase by ADT only, may be clinically relevant and suggest the enhanced anti-cancer treatment efficacy of E4 in addition to the previously reported additional suppression of total and free T and PSA.
Complete Digital Workflow for Manufacturing Presurgical Orthodontic Palatal Plates in Newborns and Infants with Cleft Lip and/or Palate
Authors: Weismann Christina , Xepapadeas Alexander B. , Bockstedte Marit , Koos Bernd , Krimmel Michael , Poets Christian F. , Aretxabaleta Maite
Published: October 2024

Deciding on the implementation or modification of steps in daily clinical care is a nuanced process that demands careful evaluation. This is crucial not only for selecting the most appropriate solution but also for achieving the best treatment outcome. Thus, implementing a workflow for treating cleft lip and/or palate patients with a presurgical orthodontic cleft-covering plate needs to consider objective factors, prioritized from most to least important: safety and quality level, user-friendliness, feasibility, and, finally, efficiency and cost. The goal of this workflow is to integrate CAD/CAM technologies into daily clinical routine to enhance technical and clinical efficiency, reduce the burden of cleft care, and simplify the implementation of these technologies in other facilities. To achieve this, a methodology based on intraoral scanning and additive manufacturing is employed to produce patient-specific passive palatal plates. The approach describes possible pitfalls and their resolution within the routine of a cleft centre, along with an exemplary case scenario. Comparative analysis between the digital workflow and the conventional process demonstrated the digital approach to be safer, higher in quality, more user-friendly, feasible, and cost- and time-effective than the conventional process.
Deep Learning for Generating Time-of-Flight Camera Artifacts
Authors: Müller Tobias , Schmähling Tobias , Elser Stefan , Eberhardt Jörg
Published: October 2024

Time-of-Flight (ToF) cameras are subject to high levels of noise and errors due to Multi-Path-Interference (MPI). To correct these errors, algorithms and neuronal networks require training data. However, the limited availability of real data has led to the use of physically simulated data, which often involves simplifications and computational constraints. The simulation of such sensors is an essential building block for hardware design and application development. Therefore, the simulation data must capture the major sensor characteristics. This work presents a learning-based approach that leverages high-quality laser scan data to generate realistic ToF camera data. The proposed method employs MCW-Net (Multi-Level Connection and Wide Regional Non-Local Block Network) for domain transfer, transforming laser scan data into the ToF camera domain. Different training variations are explored using a real-world dataset. Additionally, a noise model is introduced to compensate for the lack of noise in the initial step. The effectiveness of the method is evaluated on reference scenes to quantitatively compare to physically simulated data.
Addressing Once More the (Im)possibility of Color Reconstruction in Underwater Images
Authors: Rzhanov Yuri , Lowell Kim
Published: October 2024

Color is an important cue in object recognition and classification problems. In underwater imagery, colors undergo strong distortion due to light propagation through an absorbing and scattering medium. Distortions depend on a number of complex phenomena, the most important being wavelength-dependent absorption and the sensitivity of sensors in trichromatic cameras. It has been shown previously that unique reconstruction in this case is not possible—at least for a simplified image formation model. In this paper, the authors use numerical simulations to demonstrate that this statement also holds for the underwater image formation model that is currently the most sophisticated.
A High-Efficiency Piezoelectric Energy Harvesting and Management Circuit Based on Full-Bridge Rectification
Authors: Liu Shuhan , Chen Suhao , Gao Wei , Zhang Jiabin , Xu Dacheng , Chen Fang , Lu Zhenghao , Yu Xiaopeng
Published: October 2024

This paper presents a high-efficiency piezoelectric energy harvesting and management circuit utilizing a full-bridge rectifier (FBR) designed for powering wireless sensor nodes. The circuit comprises a rectifier bridge, a fully CMOS-based reference source, and an energy management system. The rectifier bridge uses a PMOS cross-coupled structure to greatly reduce the conduction voltage drop. The CMOS reference source provides the necessary reference voltage and current. The energy management system delivers a stable 1.8 V to the load and controls its operation in intermittent bursts. Fabricated with a 110 nm CMOS process, the circuit occupies an area of 0.6 mm2, and is housed in a QFN32 package. Test results indicate that under 40 Hz frequency and 4 g acceleration vibrations, the chip’s energy extraction power reaches 234 μW, with the load operating every 3 s at a supply voltage of 1.8 V. Thus, this FBR interface circuit efficiently harnesses the energy output from the piezoelectric energy harvester.
Experimental Investigation of Wave Pressure on Breakwater-Integrated Oscillating Water Column Devices with a Perforated Wall
Authors: Ko Chun-Han , Fan Chun-Yu , Tsai Ching-Piao
Published: October 2024

This study investigates the wave pressure on an Oscillating Water Column (OWC) device, which features a perforated wall positioned in front of the OWC chamber and is integrated with a caisson breakwater. The perforated wall is designed to mitigate wave impacts on the OWC device under storm wave conditions. To achieve this, a series of laboratory experiments were conducted using a 1:25 scale model, considering both regular and irregular waves. Wave pressure measurements and analyses were performed on various configurations to assess the effects of the perforated wall on the wave pressure exerted against the front wall of the OWC chamber and the caisson breakwater. The results indicate that the perforated wall effectively reduces the amplitude of water column oscillations within the OWC chamber during storm conditions, thereby significantly reducing wave pressure on the OWC chamber wall by approximately 14% and on the breakwater by about 20.3%.
Bearing Behavior of Large-Diameter Monopile Foundations of Offshore Wind Turbines in Weathered Residual Soil Seabeds
Authors: He Ben , Lin Mingbao , Yu Xinran , Peng Genqiang , Huang Guoxiang , Dai Song
Published: October 2024

The southeastern rock base sea area is the most abundant wind resource area, and it is also the mainstream construction site of offshore wind farms (OWFs) in China. The weathered residual soil is the main seabed component in the rock base area, which is the important bearing stratum of the offshore wind turbine foundation. Previous studies on the mechanical properties of seabed materials and bearing characteristics of the pile foundations in OWFs have mainly focused on the submarine soil-based seabed, resulting in a lack of direct reference for the construction of offshore wind power in the rocky seabed. Therefore, the mechanical properties of weathered residual soil and the bearing behaviors of monopile foundations are mainly investigated in this study. Firstly, dynamic triaxial tests are conducted on the weathered residual soil, and experiments analyze insight into the evolution law of the hysteresis curve, cumulative strain, and stiffness attenuation. Then, the horizontal loading behaviors of monopile foundations in residual soil are analyzed by numerical simulations; more critically, the service performances under wind and wave coupling loads are evaluated, which provide a direct theoretical basis for the construction and design of offshore wind turbine foundations in rock base seabeds.
OptiShipNet: Efficient Ship Detection in Complex Marine Environments Using Optical Remote Sensing Images
Authors: Lin Yunfeng , Li Jinxi , Wei Shiqing , Liu Shanwei
Published: October 2024

Ship detection faces significant challenges such as dense arrangements, varying dimensions, and interference from the sea surface background. Existing ship detection methods often fail to accurately identify ships in these complex marine environments. This paper presents OptiShipNet, an efficient network for detecting ships in complex marine environments using optical remote sensing images. First, to effectively capture ship features from complex environments, we designed a DFC-ConvNeXt module as the network’s backbone, where decoupled fully connected (DFC) attention captures long-distance information in both vertical and horizontal directions, thereby enhancing its expressive capabilities. Moreover, a simple, parameter-free attention module (SimAM) is integrated into the network’s neck to enhance focus on ships within challenging backgrounds. To achieve precise ship localization, we employ WIoU loss, enhancing the ship positioning accuracy in complex environments. Acknowledging the lack of suitable datasets for intricate backgrounds, we construct the HRSC-CB dataset, featuring high-resolution optical remote sensing images. This dataset contains 3786 images, each measuring 1000 × 600 pixels. Experiments demonstrate that the proposed model accurately detects ships under complex scenes, achieving an average precision (AP) of 94.1%, a 3.2% improvement over YOLOv5. Furthermore, the model’s frame per second (FPS) rate reaches 80.35, compared to 67.84 for YOLOv5, thus verifying the approach’s effectiveness.
A Bibliometric Analysis of Green Shipping: Research Progress and Challenges for Sustainable Maritime Transport
Authors: Mi Jackson Jinhong , Wang Yicheng , Zhang Nan , Zhang Congzhi , Ge Jinfeng
Published: October 2024

This paper aims to systematically review and analyze the literature on green shipping, focusing on research trends, key areas, and future directions. A bibliometric analysis is conducted on 1339 articles published between 2000 and 2023, using data from the SCI-EXPANDED and SSCI core collections on the Web of Science platform. Co-occurrence analyses are performed for authors, countries, institutions, and keywords. The analysis reveals exponential growth in green shipping research over the past decade, with a significant increase since 2019. China leads in publication output and international collaboration. Key research areas identified include sustainable development, green energy, green ports, and green supply chain management. Green shipping research is rapidly expanding, emphasizing sustainable practices and technological advancements. Future research is expected to integrate artificial intelligence, big data analytics, and other advanced technologies to further promote sustainability. Strengthening international cooperation and interdisciplinary integration will be crucial for advancing the global green shipping agenda.
An Assessment of the Residual Stress of Pipelines Subjected to Localized Large Deformations
Authors: Xu Wanhai , Li Hang , Song Zhiyou , Meng Congyan
Published: October 2024

Subsea pipelines subjected to impacts are prone to generating significant deformations and residual stresses, which could reduce their structural integrity and increase the risk of failure. This paper introduces analytical and numerical frameworks aimed at predicting residual stress behavior induced by subsea pipeline impacts. An empirical formula to regulate residual stress levels in extensively deformed submarine pipelines is derived through a parameter-fitting method. This formula enables the swift and accurate computation of the residual stress magnitudes in such pipelines. Abaqus is employed to simulate the residual stresses in large-deformation submarine pipelines. The results of the finite element analysis are validated through experimental work. A comprehensive database is constructed via the finite element method to fit an empirical formula for residual stresses in large-deformation submarine pipelines. The empirical formula places particular emphasis on the influence of the diameter-to-thickness ratio and dent depth on the residual stresses. It is crucial for pipeline design and maintenance.
Enhancing Underwater Images through Multi-Frequency Detail Optimization and Adaptive Color Correction
Authors: Gao Xiujing , Jin Junjie , Lin Fanchao , Huang Hongwu , Yang Jiawei , Xie Yongfeng , Zhang Biwen
Published: October 2024

This paper presents a novel underwater image enhancement method addressing the challenges of low contrast, color distortion, and detail loss prevalent in underwater photography. Unlike existing methods that may introduce color bias or blur during enhancement, our approach leverages a two-pronged strategy. First, an Efficient Fusion Edge Detection (EFED) module preserves crucial edge information, ensuring detail clarity even in challenging turbidity and illumination conditions. Second, a Multi-scale Color Parallel Frequency-division Attention (MCPFA) module integrates multi-color space data with edge information. This module dynamically weights features based on their frequency domain positions, prioritizing high-frequency details and areas affected by light attenuation. Our method further incorporates a dual multi-color space structural loss function, optimizing the performance of the network across RGB, Lab, and HSV color spaces. This approach enhances structural alignment and minimizes color distortion, edge artifacts, and detail loss often observed in existing techniques. Comprehensive quantitative and qualitative evaluations using both full-reference and no-reference image quality metrics demonstrate that our proposed method effectively suppresses scattering noise, corrects color deviations, and significantly enhances image details. In terms of objective evaluation metrics, our method achieves the best performance in the test dataset of EUVP with a PSNR of 23.45, SSIM of 0.821, and UIQM of 3.211, indicating that it outperforms state-of-the-art methods in improving image quality.