bluuebunny/crossref_metadata_2025 huggingface dataset:
Mental Health, Sleep Quality, and Psychological Well-Being during the Holy Month of Ramadan
Authors: Jandali Danny , Alwaleedi Abdullah , Marenus Michele W. , Liener Sarah R. , Sheik Amine , Elayyan Malak , Chen Weiyun
Published: July 2024

Objectives: Ramadan, a significant month for Muslims, presents unique challenges, particularly in the context of the USA. This study aimed to explore the relationship between mental health factors (depression, anxiety, and stress), sleep quality, and psychological well-being (subjective happiness and life satisfaction) during the month of Ramadan among participants and by gender. Methods: This study enlisted 163 participants (74% female, 25.7% male), with an average age of 36.8 years (SD = 13.1), mostly of Middle Eastern descent. Recruitment was conducted via flyers at local community mosques, social media, and outreach through local religious leaders. Data collection took place in the last three weeks of Ramadan, utilizing a Qualtrics survey that included the Depression Anxiety and Stress Scale (DASS-21), the Subjective Happiness Scale (SHS), Satisfaction with Life Scale (SWLS), and the Pittsburgh Sleep Quality Index (PSQI). Data were analyzed by means of descriptive statistics and multiple linear regression models using SPSS version 28. Results: The study indicates that while mental health and psychological well-being remained within normal levels during Ramadan, sleep scores indicated significant sleep disturbance among participants. Multiple linear regression models revealed that subjective happiness, sleep duration, and the global PSQI score were significant predictors of stress for the total sample (F = 9.816, p = 0.001). Life satisfaction was the only significant predictor of anxiety (F = 7.258, p = 0.001), and it, alongside subjective happiness, significantly predicted depression (F = 12.317, p = 0.001). For men, subjective happiness alone predicted stress, while life satisfaction was a predictor for both anxiety and depression (F = 4.637, p = 0.001). In women, sleep duration and medication usage were linked to stress but not anxiety. Life satisfaction and subjective happiness were, however, predictors of depression (F = 6.380, p = 0.001). Conclusion: Fostering positive affective states can serve as a protective mechanism against the potential psychological distress associated with altered sleep patterns and lifestyle changes that accompany Ramadan. This study highlights that Ramadan is a tool for bolstering happiness and life satisfaction, thereby lowering levels of stress, anxiety, and depression. In non-Muslim majority contexts like the USA, there is a need for accommodations to safeguard against potential psychological distress.
Alternative Treatments for Emotional Experiencing and Processing in People with Migraine or Tension-Type Headache: A Scoping Review
Authors: Marelli Alessandra , Grazzi Licia , Visco Marina Angela , Crescenzo Pietro , Bavagnoli Alessandra , Sirotich Cristal , Covelli Venusia
Published: July 2024

This narrative review aims to summarize the use of alternative treatments (e.g., relaxation training, meditation, written intervention) for emotional expression, processing, control, or management in patients with migraine and tension-type headaches, which the previous literature has shown to be related to migraine pain perception and headache symptoms. Online databases including PubMed, Scopus, Web of Science, PsycINFO, and Medline were searched to identify studies published between 2000 and 2023. A descriptive synthesis of the included studies was conducted. We included seven articles after screening 1.173 records. A total of 610 patients with a diagnosis of migraine or tension-type headache, and an average age of 19–45.5 years (68–90.4% females) were recruited in the selected studies. Overall, the results show that alternative approaches to headache treatment contribute to the management, reduction, or control of negative emotions and at the same time have a positive impact on pain perception and headache symptoms. However, in some cases, the effects are more promising than others, depending on the peculiarities or limitations of each approach considered. This review provides useful insights from a methodological point of view for future studies on the management or control of negative emotions in patients with migraine and tension-type headache.
Early Management for Fracture-Related Infection: A Literature Review
Authors: Vicenti Giovanni , Buono Claudio , Albano Federica , Ladogana Teresa , Pesare Elisa , Colasuonno Giulia , Passarelli Anna Claudia , Solarino Giuseppe
Published: July 2024

Fracture-related infections (FRIs), as shown in the literature, represent one of the main complications of trauma surgery. They are a consequence of an implant-related “biofilm” formation and are a challenge for surgeons, microbiologists, and infectious disease specialists. For a correct diagnosis, careful clinical evaluation, to look for signs/symptoms attributable to an infectious condition, and instrumental examinations, to highlight the site of infection, its extent, and its severity, are both essential. Unfortunately, due to the lack of data in the literature, there is no consensus about guidelines on the diagnosis and treatment of FRIs. The purpose of this study is to present an up-to-date concept evaluation of the diagnostic procedures and treatment options available in the management of fracture-related infections.
Healthcare Communication Experiences of Hispanic Caregivers of Childhood Cancer Survivors
Authors: Ochoa-Dominguez Carol Y. , Banegas Matthew P. , Miller Kimberly A. , Orellana Garcia Carlos , Sabater-Minarim Daniel , Chan Randall Y.
Published: July 2024

Background: Interpersonal communication is a crucial component of the cancer experience that can contribute to managing cancer care and improving cancer survivors’ and caregivers’ quality of life. Cultural and contextual factors may impact Hispanic childhood cancer survivor (CCS) and parent caregiver relationships and communication. This study sought to describe the healthcare communication experiences of Hispanic parents with CCS, families, and medical providers. Methods: We conducted 15 semi-structured interviews with Hispanic caregivers from a safety-net hospital in Los Angeles County. Interviews were conducted in English and Spanish, audio-recorded and professionally transcribed, and analyzed using a thematic approach. Results: Caregivers shared the importance and impact of medical communication when exploring the “first big talk” of the diagnosis, uncertainty about treatment, navigating multiple providers, therapeutic communication (i.e., providing emotional reassurance), and current and lingering effects of cancer. All caregivers shared “good communication” experiences, while others shared various barriers to communication, including a lack of understanding of the cancer diagnosis and caregiver experience, psychological challenges impacting communication, cultural and language differences, physical factors that limit communication, and young age of child impacting communication with caregivers. Conclusions: Our findings suggest that a strong interpersonal communication skill set for clinicians can contribute to managing cancer care and improving caregivers’ psychological adjustment.
Effects of Different Aerobic Exercises on Blood Lipid Levels in Middle-Aged and Elderly People: A Systematic Review and Bayesian Network Meta-Analysis Based on Randomized Controlled Trials
Authors: Li Yuan , Zhai Qun , Li Ge , Peng Weihang
Published: July 2024

With increasing age, dyslipidemia becomes a common health problem in the middle-aged and elderly population, posing a significant risk of cardiovascular disease. Aerobic exercise, as a non-pharmacological intervention, is considered to be effective in improving blood lipid levels, but the extent to which different types of aerobic exercise affect blood lipids is not clear. This study aims to investigate the effects of 12 different aerobic exercises on total cholesterol, triglyceride, high-density lipoprotein cholesterol, and low-density lipoprotein cholesterol in middle-aged and elderly people aged 45 years and over through systematic review and Bayesian network Meta-analysis of randomized controlled trials. We systematically searched relevant databases and included eligible randomized controlled trials. Bayesian network meta-analysis was used to compare the effects of 12 types of aerobic exercise on lipid levels. A total of 487 randomized controlled trials involving middle-aged and elderly people over 45 years old were included. The results of the network meta-analysis showed that all types of aerobic exercise could reduce blood lipid levels compared with no intervention in middle-aged and elderly people. In terms of total cholesterol, triglyceride, and low-density lipoprotein cholesterol, swimming had the most significant effect. For HDL cholesterol, dance showed a better effect. Studies have shown that swimming and dancing have a positive effect on improving blood lipid levels in middle-aged and elderly people. It is recommended to choose the appropriate type of exercise according to personal preference and physical condition.
Filipino Immigrants in Santa Cruz de Tenerife, Spain: Health and Access to Services
Authors: Parcon Melynn Grace , Darias-Curvo Sara , Marrero-González Cristo Manuel , Sabando-García Ángel Ramón
Published: July 2024

The Philippines is a source of labor for many countries. Roughly 10 million overseas Filipinos are working and living outside of the Philippines. This paper examines the association between sociodemographic characteristics (sex, age, educational level, and income) and self-rated physical and mental health, access to healthcare, and health habits among immigrant Filipinos living in Santa Cruz de Tenerife, Spain. Through convenience sampling, Filipino migrants (n = 103) aged 18 years and above participated in the online survey between October 2022 and March 2023. The data were analyzed using descriptive statistical analysis and chi-square. Almost all respondents self-rated their health as excellent and very good. Female respondents are more affected by mental health. Most are enrolled in the Universal Health System of Spain (public insurance). There is more utilization of private health insurance among respondents aged 60 years and above and high-wage earners. Cigarette smoking and alcohol drinking are associated with males. More than half of the respondents perform weekly exercise occasionally or never. These findings suggest a potential need for targeted interventions with an emphasis on the practice of preventive health and the promotion of healthy lifestyles, especially among financially disadvantaged migrants with lesser health access.
Optimizing Telehealth: Leveraging Key Performance Indicators for Enhanced TeleHealth and Digital Healthcare Outcomes (Telemechron Study)
Authors: Morelli Sandra , Daniele Carla , D’Avenio Giuseppe , Grigioni Mauro , Giansanti Daniele
Published: July 2024

Over the past decade, the use of telehealth has garnered increasing attention. The focus on quality aspects has seen significant growth in tandem with the telehealth expansion. Having useful indicators in this area is becoming increasingly strategic for fully integrating the technology into the health domain. These indicators can help monitor and evaluate the quality of telehealth services, guiding improvements and ensuring that these digital solutions meet the necessary standards for effective healthcare delivery. The purpose of this study is to analyze Key performance indicators (KPIs) in telehealth within institutional websites and the scientific dissemination world by means of a narrative review. A narrative review was proposed with these two specific points of view based on a standardized checklist and a quality control procedure for including scientific papers in the analysis. Results from scientific studies emphasize KPIs such as patient outcomes, operational efficiency, technical reliability, and cost-effectiveness. These include measures like improvements in condition management, patient satisfaction, consultation numbers, waiting times, and cost savings. Institutional documents from entities like the WHO also show diverse perspectives, focusing on equitable access, clinical excellence, patient prioritization, response times, and patient and staff satisfaction. The findings suggest that adopting a comprehensive set of KPIs and continuously monitoring and evaluating telehealth services can enhance their effectiveness, efficiency, and equity, ultimately improving healthcare outcomes and accessibility.
Halide Perovskites’ Multifunctional Properties: Coordination Engineering, Coordination Chemistry, Electronic Interactions and Energy Applications beyond Photovoltaics
Authors: Berhe Taame Abraha , Su Wei-Nien , Hwang Bing Joe
Published: July 2024

Halide perovskite materials have gained enormous attention for their semiconducting properties, higher power conversion efficiency and potential applications in a wide range of fields of study, along with their two key limitations: stability and toxicity. Despite great progress made on halide perovskites and many promising research developments, the issues of stability and toxicity have not been fully resolved. Therefore, the coordination engineering of a new framework to obtain alternative new halide perovskite materials and a fundamental understanding of the coordination chemistry and electronic interactions forming the structure of these newly engineered halide perovskite materials are possible ways to overcome the issues related to both stability and toxicity. In this review, we comprehensively review the current development of halide perovskite families, both lead halide perovskites and lead-free halide perovskites, followed by the coordination engineering of the new frameworks to engineer new halide perovskite materials. All concerns regarding the fundamental ideas of coordination chemistry and electronic interactions are vital in forming halide perovskite structures and thus form the main aim of this review. We also discuss recent potential energy applications beyond photovoltaics and thus answer an essential and open question, ‘what could happen in the future of halide perovskites?’ in order to excite commercial enterprises and research institutions again as well as to motivate new predictions on the future continuity of this field.
Narrative Review on Echocardiographic Evaluation of Patent Ductus Arteriosus in Preterm Infants
Authors: Singh Yogen , Chan Belinda , Noori Shahab , Ramanathan Rangasamy
Published: July 2024

Persistent Patent Ductus Arteriosus (PDA) is prevalent among extremely preterm infants, with its occurrence inversely related to gestational age. A persistent PDA correlates with increased mortality and morbidities such as intraventricular hemorrhage, pulmonary hemorrhage, chronic lung disease, bronchopulmonary dysplasia, and necrotizing enterocolitis as observed clinically. Conversely, numerous randomized controlled trials have failed to demonstrate significant benefits from PDA treatment. One contributing factor to these conflicting findings is that PDA affects each individual differently depending on the cardiovascular decompensation and its hemodynamic impact. PDA management should be based on the hemodynamic significance, rather than just the presence or size of PDA. This comprehensive narrative review paper describes echocardiographic parameters that allow a better understanding of the hemodynamic impact of PDA. A newer modality, like lung ultrasound, is also described here as an adjunct to assess the PDA impact on the lungs from pulmonary overcirculation.
Ten-Year Experience with a Transapical Approach for Transcatheter Aortic and Mitral Valve Implantation
Authors: Galeone Antonella , Perrone Fabiola , Pesarini Gabriele , Ribichini Flavio Luciano , Di Gaetano Renato , Luciani Giovanni Battista , Onorati Francesco
Published: July 2024

Background: The transfemoral approach represents the optimal access for TAVI due to its low invasiveness; however, up to 10–15% of TAVI candidates are considered unsuitable for femoral access because of significant peripheral vascular disease and need alternative access. Methods: This is a single-center retrospective observational study including all consecutive adult patients undergoing transcatheter procedures through a TA approach from March 2015 to April 2024. Results: 213 patients underwent transcatheter aortic or mitral valve implantation through a TA approach and were enrolled in this study. The mean age of the patients was 79.5 ± 5.7 years, and 54% of the patients were males. The mean Euroscore II was 7.9 ± 6.4%. One-third of the patients had previous cardiac surgery. The overall mean survival time was 5.3 ± 0.3 years. Nine (4%) patients developed infective endocarditis (IE) during the follow-up. Conclusions: The transapical approach for transcatheter procedures is a safe and effective procedure for patients unsuitable for TF access with low periprocedural mortality and a low rate of post-procedural complications when performed by experienced surgeons and cardiologists.
Machine Learning Approaches for Stroke Risk Prediction: Findings from the Suita Study
Authors: Vu Thien , Kokubo Yoshihiro , Inoue Mai , Yamamoto Masaki , Mohsen Attayeb , Martin-Morales Agustin , Inoué Takao , Dawadi Research , Araki Michihiro
Published: July 2024

Stroke constitutes a significant public health concern due to its impact on mortality and morbidity. This study investigates the utility of machine learning algorithms in predicting stroke and identifying key risk factors using data from the Suita study, comprising 7389 participants and 53 variables. Initially, unsupervised k-prototype clustering categorized participants into risk clusters, while five supervised models including Logistic Regression (LR), Random Forest (RF), Support Vector Machine (SVM), Extreme Gradient Boosting (XGBoost), and Light Gradient Boosted Machine (LightGBM) were employed to predict stroke outcomes. Stroke incidence disparities among identified risk clusters using the unsupervised k-prototype clustering method are substantial, according to the findings. Supervised learning, particularly RF, was a preferable option because of the higher levels of performance metrics. The Shapley Additive Explanations (SHAP) method identified age, systolic blood pressure, hypertension, estimated glomerular filtration rate, metabolic syndrome, and blood glucose level as key predictors of stroke, aligning with findings from the unsupervised clustering approach in high-risk groups. Additionally, previously unidentified risk factors such as elbow joint thickness, fructosamine, hemoglobin, and calcium level demonstrate potential for stroke prediction. In conclusion, machine learning facilitated accurate stroke risk predictions and highlighted potential biomarkers, offering a data-driven framework for risk assessment and biomarker discovery.
Left Ventricular Fibrosis by Cardiac Magnetic Resonance Tissue Characterization in Chronic Mitral Regurgitation Patients
Authors: Badau Riebel Catalina Ileana , Agoston-Coldea Lucia
Published: July 2024

Background: Left ventricular remodeling in chronic mitral regurgitation (MR) encompasses two types of myocardial fibrosis: replacement fibrosis, identified by late gadolinium enhancement (LGE), and diffuse interstitial fibrosis, assessed by pre- and postcontrast T1 mapping techniques. These may explain irreversible LV dysfunction after MR correction. We aimed to assess the presence of myocardial fibrosis in patients with moderate and severe MR with no criteria for surgery versus mild MR controls. Methods: We enrolled 137 patients with chronic primary MR and 130 controls; all underwent cardiac magnetic resonance, and were followed up in a median of 2.9 years to assess mortality and the need for mitral valve replacement. Results: Patients in the study group displayed significantly higher degrees of LGE (28.4% vs 7.69%, p < 0.05), higher native T1 values (1167 ± 58.5 versus 971 ± 51.4 (p < 0.05)), and higher extracellular volumes compared to controls (32.3% ± 3.5 versus 23.9 ± 2.2, (p < 0.05)). The composite outcome occurred in 28 patients in the study group (20.4%), and significantly higher with LGE+ (78.5%). Replacement fibrosis (HR = 1.83, 95% CI, p < 0.01) and interstitial fibrosis (HR = 1.61, 95% CI, p < 0.01) were independent predictors for the composite outcome. Conclusions: Patients with moderate and severe MR with no criteria for surgery still exhibit a significant degree of both replacement and interstitial fibrosis, with prognostic implications.
Preparation and Properties of a Composite Carbon Foam, as Energy Storage and EMI Shield Additive, for Advanced Cement or Gypsum Boards
Authors: Gioti Christina , Vasilopoulos Konstantinos C. , Baikousi Maria , Ntaflos Angelos , Viskadourakis Zacharias , Paipetis Alkiviadis S. , Salmas Constantinos E. , Kenanakis George , Karakassides Michael A.
Published: July 2024

This article explores the cutting-edge advancement of gypsum or cement building boards infused with shape-stabilized n-octadecane, an organic phase change material (PCM). The primary focus is on improving energy efficiency and providing electromagnetic interference (EMI) shielding capabilities for contemporary buildings. This research investigates the integration of these materials into construction materials, using red-mud carbon foam (CCF) as a stabilizer for n-octadecane (OD@CCF). Various analyses, including microstructural examination, porosity, and additive dispersion assessment, were conducted using X-ray microtomography and density measurements. Thermal conductivity measurements demonstrated the enhancement of composite boards as the OD@CCF content increased, while mechanical tests indicated an optimal additive content of up to 20%. The thermally regulated capabilities of these advanced panels were evaluated in a custom-designed room model, equipped with a homemade environmental chamber, ensuring a consistent temperature environment during heating and cooling cycles. The incorporation of OD@CCF into cement boards exhibited improved thermal energy storage properties. Moreover, the examined composite boards displayed efficient electromagnetic shielding performance within the frequency range of 3.2–7.0 GHz, achieving EMI values of approximately 18 and 19.5 dB for gypsum and cement boards, respectively, meeting the minimum value necessary for industrial applications.
Eco-Friendly Isolated Nanocellulose from Seaweed Biomass via Modified-Acid and Electron Beam Process for Biodegradable Polymer Composites
Authors: Kim Jae-Hun , Jeong Jin-Ju , Lee Jung-Soo
Published: July 2024

Nanocellulose (NC) has emerged as a promising biodegradable material with applications in various industrial fields owing to its high mechanical strength, thermal stability, and eco-friendly properties. Traditional methods for isolating NC from wood-based biomass (WB) involve high energy consumption and extensive chemical usage, leading to environmental and sustainability concerns. This study explored an alternative approach to isolate NC from seaweed-based biomass (SB) (SNC), which contains fewer non-cellulosic components and a higher cellulose content than WB, thereby yielding a more efficient e-isolation process. We employed a combination of modified-acid solution and electron beam (E-beam) technology to isolate NC from SB. The E-beam process enhanced the crystallinity while reducing the particle size, thus facilitating NC isolation with reduced environmental impact and processing time. Moreover, our method significantly reduced the need for harsh chemical reagents and energy-intensive processes, which are typically associated with traditional NC isolation methods. We fabricated biodegradable films with improved mechanical properties using NC as a reinforcing agent in polymer composites, thereby demonstrating the potential of NC-based materials for various applications. Therefore, our proposed approach offers a sustainable and efficient method for NC isolation and serves as a guide for the development of eco-friendly industrial processes. Our findings contribute to ongoing efforts to create sustainable materials and reduce the environmental footprint of the manufacturing industry.
Ultrasonographic Evaluation of the Patellar Tendon in Cyclists, Volleyball Players, and Non-Practitioners of Sports—The Influence of Gender, Age, Height, Dominant Limb, and Level of Physical Activity
Authors: Pissarra Ângela , Ribeiro Luís , Rodrigues Sónia
Published: July 2024

This study was based on the ultrasound evaluation of the patellar tendon dimensions in the anteroposterior and transversal approaches in sports practitioners (cyclists and volleyball players) and non-sports practitioners. Relationships between the patellar tendon length, width, and thickness with gender, age, height, the dominant limb, and level of physical activity were evaluated. The samples included cyclists, volleyball players, and non-sports practitioners between 15 and 25 years old. Individuals were positioned supine with 30 degrees of knee flexion for bilateral measurements. Sports practitioners presented with an increased patellar tendon length and thickness. There were significant differences bilaterally between sports and non-sports practitioners (p < 0.003). The three dimensions of the patellar tendon of both limbs presented correlations with the male gender (0.336 < r < 0.601), and values of moderate-to-strong intensity in the length of the patellar tendon was directly proportional to height (0.520 < r < 0.601). There was a significant difference between the patellar tendon width and age (p < 0.025). Regarding the level of physical activity, significant differences were found between low and high levels in the three dimensions bilaterally (p < 0.004). The study results indicate that gender, age, height, and level of physical activity impact patellar tendon dimensions. However, there are no associations with the dominant limb.
Prediction of Pile Running during Installation Using Deep Learning Method
Authors: He Ben , Shi Ruilong , Guan Qingzheng , Yang Yitao
Published: July 2024

Pile running during the installation of offshore large diameter pipe piles poses a significant challenge to construction safety and pile bearing capacity. This paper proposes a deep learning (DL)-based method for predicting pile running occurrences. Utilizing a dataset of pile installation records collected from various construction sites, the DL model was trained and tested. The predictive capacity of the DL model was compared with conventional analytical methods, demonstrating its superior performance in terms of accuracy and robustness. Additionally, the SHAP (SHapley Additive exPlanations) method was employed for the sensitivity analysis of the model’s input variables, and the resultant importance ranking agreed well with the findings of existing studies, thus enhancing the reliability and interpretability of the model’s predictions.
Container Yard Layout Design Problem with an Underground Logistics System
Authors: Lu Bin , Zhang Mengxia , Xu Xiaojie , Liang Chengji , Wang Yu , Liu Hongchen
Published: July 2024

In recent years, underground logistics systems have attracted more and more attention from scholars and are considered to be a promising new green and intelligent transportation mode. This paper proposes a yard design problem considering an underground container logistics system. The structure and workflow of the underground container logistics system are analyzed, and key features are recognized for the yard design problem, such as the container block layout direction, the lane configuration in the yard, and the number of container blocks. We formulate the problem into mathematical models under different scenarios of the key features with the comprehensive objective of maximizing the total throughput and minimizing the total operation cost simultaneously. An improved tabu search algorithm is designed to solve the problem. Experimental results show that the proposed algorithm can generate a satisfactory layout design solution for a real-size instance. Our research studies different container yard design options for introducing the underground logistics system into port terminals, which provides an important scientific foundation for promoting the application of underground container logistics systems.
Artificial Neural Network for Glider Detection in a Marine Environment by Improving a CNN Vision Encoder
Authors: Lee Jungwoo , Park Ji-Hyun , Hwang Jeong-Hwan , Noh Kyoungseok , Choi Youngho , Suh Jinho
Published: July 2024

Despite major economic and technological advances, much of the ocean remains unexplored, which has led to the use of remotely operated vehicles (ROVs) and gliders for surveying. ROVs and underwater gliders are essential for ocean data collection. Gliders, which control their own buoyancy, are particularly effective unmanned platforms for long-term observations. The traditional method of recovering the glider on a small boat is a risky operation and depends on the skill of the workers. Therefore, a safer, more efficient, and automated system is needed to recover them. In this study, we propose a lightweight artificial neural network for underwater glider detection that is efficient for learning and inference. In order to have a smaller parameter size and faster inference, a convolutional neural network (CNN) vision encoder in an artificial neural network splits an image of a glider into a number of elongated patches that overlap to better preserve the spatial information of the pixels in the horizontal and vertical directions. Global max-pooling, which computes the maximum over all the spatial locations of an input feature, was used to activate the most salient feature vectors at the end of the encoder. As a result of the inference of the glider detection models on the test dataset, the average precision (AP), which indicates the probability that an object is located within the predicted bounding box, shows that the proposed model achieves AP = 99.7%, while the EfficientDet-D2 model for comparison of detection performance achieves AP = 69.2% at an intersection over union (IOU) threshold of 0.5. Similarly, the proposed model achieves an AP of 78.9% and the EfficientDet-D2 model achieves an AP of 50.5% for an IOU threshold of 0.75. These results show that accurate prediction is possible within a wide range of recall for glider position inference in a real ocean environment.
Phenotypical Differences at the Physiological and Clinical Level between Two Genetically Closely Related Clavispora lusitaniae Strains Isolated from Patients
Authors: Casagrande Pierantoni Debora , Giuliano Simone , Conti Angela , Corte Laura , Angelini Jacopo , Cardinali Gianluigi , Tascini Carlo
Published: July 2024

The occurrence of non-albicans species within the genus Candida poses a major challenge in the clinical setting. Clavispora lusitaniae, formerly known as Candida lusitaniae, has gained attention due to its potential multidrug resistance, particularly to amphotericin B (AmB). While intrinsic resistance to AmB is rare, secondary resistance may develop during treatment due to phenotypic rearrangement and the reorganization of the cell wall. Although there is evidence of genetic variability within C. lusitaniae, comprehensive genomic studies are lacking. This study examines the physiological differences within Candida species and focuses on the medical implications of this. Using two case reports, significant physiological and resistance differences between two strains of C. lusitaniae are demonstrated, highlighting the need for further research into genetic variability. While one strain showed higher resistance to antifungal drugs and slower growth compared to Strain 2, both strains showed minimal beta-D-glucan production, suggesting alternative pathogenic mechanisms. The study underlines the importance of understanding microbial adaptation and selection mechanisms, especially in the clinical setting, to effectively combat emerging drug resistance. Furthermore, research is needed to clarify the complex interplay between environmental causes, physiological traits, and the mechanisms of drug resistance in C. lusitaniae.
Insights into Aspergillus fumigatus Colonization in Cystic Fibrosis and Cross-Transmission between Patients and Hospital Environments
Authors: Pontes Laís , Perini Leme Giordano Ana Luisa , Reichert-Lima Franqueline , Gualtieri Beraquet Caio Augusto , Leite Pigolli Guilherme , Arai Teppei , Ribeiro José Dirceu , Gonçalves Aline Cristina , Watanabe Akira , Goldman Gustavo Henrique , Moretti Maria Luiza , Zaninelli Schreiber Angélica
Published: July 2024

Background: Approximately 60% of individuals with cystic fibrosis (CF) are affected by Aspergillus fumigatus infection. This condition is correlated with a decline in lung function and is identified as an independent risk factor contributing to hospital admissions among CF patients. This study investigates the dynamic interplay of A. fumigatus within the context of CF patients, tracing its evolution over time, with a specific emphasis on colonization dynamics. Methods: An analysis was conducted on 83 sequential A. fumigatus isolates derived from sputum samples of six patients receiving care at a renowned CF hospital in Brazil. Employing microsatellite genotyping techniques, alongside an investigation into cyp51A gene mutations, this research sheds light on the genetic variations, colonization, and resistance of A. fumigatus within the CF respiratory environment. Results: Our research findings indicate that CF patients can harbor A. fumigatus strains from the same clonal complexes for prolonged periods. Additionally, we identified that clinical isolates have the potential to spread among patients in the same healthcare facility, evidencing hospital contamination. Two patients who underwent long-term Itraconazole treatment did not show phenotypic resistance. However, one of these patients exhibited mutations in the cyp51A gene, indicating the need to monitor resistance to azoles in these patients colonized for long periods by A. fumigatus. We also observed co-colonization or co-infection involving multiple genotypes in all patients over time. Conclusion: This comprehensive examination offers valuable insights into the pathogenesis of A. fumigatus infections in CF patients, potentially shaping future therapeutic strategies and management approaches. This enhanced understanding contributes to our knowledge of A. fumigatus impact on disease progression in individuals with cystic fibrosis. Additionally, the study provides evidence of cross-contamination among patients undergoing treatment at the same hospital.
COVID-19 and Non-Performing Loans in Europe
Authors: Plikas John Hlias , Kenourgios Dimitrios , Savvakis Georgios A.
Published: July 2024

This study investigates the impact of COVID-19 on the non-performing loans (NPLs) in Europe, distinguishing by European subregion, country-level prosperity, NPL type, and NPL economic sector. We utilized panel data analysis covering the period 2015Q1–2021Q4 while controlling for macro, bank-specific, and regulatory indicators. We derived that the COVID-19 deaths and the strictness of lockdown measures positively affected the NPLs, while the economic support policies exerted a negative effect. Profitable, capitalized banks fared better. The strictness of lockdown measures hindered the ability of SMEs to repay their loans, increasing their NPLs. Sectors involving physical work-related activities also experienced an increase in their NPLs. We also deduced that bank securitization and national culture significantly contributed to NPL reduction.
Distinguishing Sellers Reported as Scammers on Online Illicit Markets Using Their Language Traces
Authors: Degeneve Clara , Longhi Julien , Rossy Quentin
Published: July 2024

Fraud exists on both legitimate e-commerce platforms and illicit dark web marketplaces, impacting both environments. Detecting fraudulent vendors proves challenging, despite clients’ reporting scams to platform administrators and specialised forums. This study introduces a method to differentiate sellers reported as scammers from others by analysing linguistic patterns in their textual traces collected from three distinct cryptomarkets (White House Market, DarkMarket, and Empire Market). It distinguished between potential scammers and reputable sellers based on claims made by Dread forum users. Vendor profiles and product descriptions were then subjected to textometric analysis for raw text and N-gram analysis for pre-processed text. Textual statistics showed no significant differences between profile descriptions and ads, which suggests the need to combine language traces with transactional traces. Textometric indicators, however, were useful in identifying unique ads in which potential scammers used longer, detailed descriptions, including purchase rules and refund policies, to build trust. These indicators aided in choosing relevant documents for qualitative analysis. A pronounced, albeit modest, emphasis on language related to ‘Quality and Price’, ‘Problem Resolution, Communicationand Trust’, and ‘Shipping’ was observed. This supports the hypothesis that scammers may more frequently provide details about transactions and delivery issues. Selective scamming and exit scams may explain the results. Consequently, an analysis of the temporal trajectory of vendors that sheds light on the developmental patterns of their profiles up until their recognition as scammers can be envisaged.
Effects of Hydrostatic Pressure and Cation Type on the Chloride Ion Transport Rate in Marine Concrete: An Experimental Study
Authors: Liu Huanqiang , Yang Xueqing , Jiang Linhua , Li Keliang , Jin Weizhun
Published: July 2024

The effect of hydrostatic pressure and cation type on chloride ion transport in marine underwater concrete cannot be ignored. The study of the chloride ion transport behavior of concrete under the effect of hydrostatic pressure and cation type coupling can provide a basis for durability design and the protection of marine concrete. In this work, the chloride ion transport behavior of marine concrete in four common chloride salt solutions under different hydrostatic pressures is studied by a hydrostatic pressure test device developed by the authors. The results show that hydrostatic pressure and its action time significantly influence the chloride ion transport behavior in marine concrete; the higher the hydrostatic pressure of concrete, the faster the chloride ion transport rate. The longer the time, the more chloride ions accumulated in the same position, and the farther the chloride ion transport distance. Cation type has a certain influence on the transport process of chloride ions. Under the same test conditions, the chloride ion transport rate in a divalent cation solution is about 5% higher than that in a monovalent cation solution. The results also show that the chloride ion binding capacity under hydrostatic pressure is only 10~20% of that under natural diffusion. Using the test results, a predictive model of a chloride ion apparent transport coefficient based on the hydrostatic pressure and hydrostatic pressure action time corrected by a cation type influence coefficient is established.
Cyclic Codes over a Non-Commutative Non-Unital Ring
Authors: Alahmadi Adel , Altaiary Malak , Solé Patrick
Published: July 2024

In this paper, we investigate cyclic codes over the ring E of order 4 and characteristic 2 defined by generators and relations as E=⟨a,b∣2a=2b=0,a2=a,b2=b,ab=a,ba=b⟩. This is the first time that cyclic codes over the ring E are studied. Each cyclic code of length n over E is identified uniquely by the data of an ordered pair of binary cyclic codes of length n. We characterize self-dual, left self-dual, right self-dual, and linear complementary dual (LCD) cyclic codes over E. We classify cyclic codes of length at most 7 up to equivalence. A Gray map between cyclic codes of length n over E and quasi-cyclic codes of length 2n over F2 is studied. Motivated by DNA computing, conditions for reversibility and invariance under complementation are derived.
A Multistep Method for Integration of Perturbed and Damped Second-Order ODE Systems
Authors: García-Alonso Fernando , Reyes José Antonio , Cortés-Molina Mónica
Published: July 2024

Based on the Ψ-functions series method, a new numerical integration method for perturbed and damped second-order systems of differential equations is presented. This multistep method is defined for variable step and variable order (VSVO) and maintains the good properties of the Ψ-functions series method. In addition, it incorporates a recurring algebraic procedure to calculate the algorithm’s coefficients, which facilitates its implementation on the computer. The construction of Ψ-functions and the Ψ-functions series method are presented to address the construction of both explicit and implicit multistep methods and a predictor–corrector method. Three problems analogous to those solved by the Ψ-functions series method are analyzed, contrasting the results obtained with the exact solution of the problem or with its first integral. The first example is the integration of a quasi-periodic orbit. The second example is a Structural Dynamics problem associated with an earthquake, and the third example studies an equatorial satellite with perturbation J2. This allows us to compare the good behavior of the new code with other prestige codes.
FurMoLi: A Future Query Technique for Moving Objects Based on a Learned Index
Authors: Yang Jiwei , Zhang Chong , Tang Wen , Ge Bin , Huang Hongbin , Yang Shiyu
Published: July 2024

The future query of moving objects involves predicting their future positions based on their current locations and velocities to determine whether they will appear in a specified area. This technique is crucial for positioning and navigation, and its importance in our daily lives has become increasingly evident in recent years. Nonetheless, the growing volume of data renders traditional index structures for moving objects, such as the time-parameterized R-tree (TPR-tree), inefficient due to their substantial storage overhead and high query costs. Recent advancements in learned indexes have demonstrated a capacity to significantly reduce storage overhead and enhance query efficiency. However, most existing research primarily addresses static data, leaving a gap in the context of future queries for moving objects. We propose a novel future query technique for moving objects based on a learned index (FurMoLi for short). FurMoLi encompasses four key stages: firstly, a data partition through clustering based on velocity and position information; secondly, a dimensionality reduction mapping two-dimensional data to one dimension; thirdly, the construction of a learned index utilizing piecewise regression functions; and finally, the execution of a future range query and future KNN query leveraging the established learned index. The experimental results demonstrate that FurMoLi requires 4 orders of magnitude less storage overhead than TPR-tree and 5 orders of magnitude less than B+-tree for moving objects (Bx-tree). Additionally, the future range query time is reduced to just 41.6% of that for TPR-tree and 34.7% of that for Bx-tree. For future KNN queries, FurMoLi’s query time is only 70.1% of that for TPR-tree and 47.4% of that for Bx-tree.
Towards Human-Interactive Controllable Video Captioning with Efficient Modeling
Authors: Heo Yoonseok , Kim Taehoon , Kim Seunghwan , Seo Jungyun , Kim Juae
Published: July 2024

Video captioning is a task of describing the visual scene of a given video in natural language. There have been several lines of research focused on developing large-scale models in a transfer learning paradigm, with major challenge being the tradeoff between scalability and performance in limited environments. To address this problem, we propose a simple yet effective encoder–decoder-based video captioning model integrating transformers and CLIP, both of which are widely adopted in the vision and language domains, together with appropriate temporal feature embedding modules. Taking this proposal a step further, we also address the challenge of human-interactive video captioning, where the captions are tailored to specific information desired by humans. To design a human-interactive environment, we assume that a human offers an object or action in the video as a short prompt; in turn, the system then provides a detailed explanation regarding the prompt. We embed human prompts within an LSTM-based prompt encoder and leverage soft prompting to tune the model effectively. We extensively evaluated our model on benchmark datasets, demonstrating comparable results, particularly on the MSR-VTT dataset, where we achieve state-of-the-art performance with 4% improvement. In addition, we also show potential for human-interactive video captioning through quantitative and qualitative analysis.
Influencing Factors Analysis in Railway Engineering Technological Innovation under Complex and Difficult Areas: A System Dynamics Approach
Authors: Cai Chaoxun , Tian Shiyu , Shi Yuefeng , Chen Yongjun , Li Xiaojian
Published: July 2024

The geological complexity, environmental sensitivity, and ecological fragility inherent in complex and difficult areas (CDAs) present new opportunities and challenges for technological innovation in railway engineering development in China. At the current stage in China, the process of technological innovation in railway engineering within CDAs still faces a series of pressing issues that need addressing. The paper identifies and determines 22 influencing factors for technological innovation in railway engineering within CDAs across five dimensions. Subsequently, a technological innovation model for railway engineering in such areas is constructed based on system dynamics (SD), which is followed by simulation and sensitivity analysis to identify the key influencing factors. The results indicate that key influencing factors for technological innovation in railway engineering within CDAs include technological innovation capability, the adaptability of technology to the environment, R&D funding investment, technological product requirements, technological innovation incentive mechanisms, and the level of technological development. The importance ranking of each dimension is as follows: technological factors > technical factors > management factors > resource factors > environmental factors. The paper provides new insights for promoting technological innovation and management development in complex and challenging railway engineering projects. It offers a fresh perspective to enhance the technological innovation efficiency of railway projects in complex and challenging areas.
Improving Graph Collaborative Filtering from the Perspective of User–Item Interaction Directly Using Contrastive Learning
Authors: Dong Jifeng , Zhou Yu , Hao Shufeng , Feng Ding , Zheng Haixia , Xu Zhenhuan
Published: July 2024

Graph contrastive learning has demonstrated significant superiority for collaborative filtering. These methods typically use augmentation technology to generate contrastive views, and then train graph neural networks with contrastive learning as an auxiliary task. Although these methods are very effective, they do not consider using contrastive learning from the perspective of user–item interaction. As a result, they do not fully leverage the potential of contrastive learning. It is well known that contrastive learning can maximize the consistency of positive pairs and minimize the agreement of negative pairs. Collaborative filtering expects high consistency between users and the items they like and low consistency between users and the items they dislike. If we treat the items that users like as positive examples and the items they dislike as negative examples, contrastive learning can work very well with the goal of collaborative filtering. Based on the above understanding, we propose a new objective function called DCL loss, which improves graph collaborative filtering from the perspective of user–item interaction when Directly using Contrastive Learning. Extensive experiments have shown that when a model adopts DCL loss as its objective function, both its recommendation performance and training efficiency exhibit significant improvements.