bluuebunny/crossref_metadata_2025 huggingface dataset:
Constitutive Pleiotrophin Deletion Results in a Phenotype with an Altered Pancreatic Morphology and Function in Old Mice
Authors: Ballesteros-Pla Cristina , Sevillano Julio , Sánchez-Alonso María Gracia , Limones María , Pita Jimena , Zapatería Begoña , Sanz-Cuadrado Marta Inmaculada , Pizarro-Delgado Javier , Izquierdo-Lahuerta Adriana , Medina-Gómez Gema , Herradón Gonzalo , Ramos-Álvarez María del Pilar
Published: October 2024

Pleiotrophin (PTN) is crucial for embryonic development and pancreas organogenesis as it regulates metainflammation, metabolic homeostasis, thermogenesis, and glucose tolerance. Pleiotrophin deletion is associated with a lipodystrophic phenotype in which adipose tissue plasticity is altered in late life. This study explored the impact of pleiotrophin deletion on pancreatic morphology and function in later life. We analyzed glucose tolerance and circulating parameters on female wild-type (Ptn+/+) and knock-out (Ptn−/−) mice. At 9 and 15 months, we conducted morphometric analyses of pancreatic islets and evaluated the levels of insulin, glucagon, somatostatin, glucose transporter 2 (GLUT2), vesicle-associated membrane protein 2 (VAMP2), and synaptosome-associated protein 25 (SNAP25) via immunofluorescence. The effect of PTN on glucose-stimulated insulin secretion (GSIS) was evaluated in INS1E cells and isolated islets. Ptn−/− mice showed hyperinsulinemia, impaired glucose tolerance, and increased homeostatic model assessment for insulin resistance (HOMA-IR) with age. While Ptn+/+ islets enlarge with age, in Ptn−/− mice, the median size decreased, and insulin content increased. Vesicle transport and exocytosis proteins were significantly increased in 9-month-old Ptn−/− islets. Islets from Ptn−/− mice showed impaired GSIS and decreased cell membrane localization of GLUT2 whereas, PTN increased GSIS in INS1E cells. Ptn deletion accelerated age-related changes in the endocrine pancreas, affecting islet number and size, and altering VAMP2 and SNAP25 levels and GLUT2 localization leading to impaired GSIS and insulin accumulation in islets.
Magnesium Hydroxide Microparticle Treatment Potently Inhibits Venturia oleaginea Pathogenesis on Olives
Authors: Andreadelli Aggeliki , Fau Arthur , Tsoureki Antiopi , Papa Elisavet , Pliatsika Katerina , Petrakis Spyros , Baltzopoulou Penelope , Pagkoura Chrysa , Giannopoulos Andreas , Karagiannakis George , Makris Antonios M.
Published: October 2024

Olive trees worldwide suffer from a number of devastating fungal diseases that affect production. One such serious disease is olive leaf spot caused by Venturia oleaginea. Recently, we applied magnesium hydroxide porous micron-scale particles (PMPs) on tomatoes and observed potent antimicrobial activity, reducing the fungal load of the treated phyllosphere. To assess the effectiveness of the compound on olive fungal disease, we applied it for two consecutive seasons. One particular olive tree exhibited extreme manifestations of fungal disease and was destined for removal. A single application of Mg(OH)2 PMP reversed all symptoms of the disease and eliminated the Venturia pathogen, curing the tree of disease. Venturia oleaginea appears to be exceptionally susceptible to treatment compared to other species in the fungal leaf community. The beneficial fungus Aureobasidium pullulans increased in relative abundance in all the sprayed trees. No toxicity and leaf loss were observed, and the compound retention exceeded 47 days. All trees sprayed showed drastic reductions in the total fungal load and compared favorably to the commercial copper compound. Spraying induced a moderate expression of key indicator genes associated with stress responses. No leaf chlorosis or shedding were observed. Overall, Mg(OH)2 PMP treatment appears to be a highly promising tool for combating plant fungal disease.
Genetic Diversity and Pathogenicity of Phytophthora infestans Isolates on Four Solanum tuberosum (Potato) Cultivars in Nariño, Colombia
Authors: Velasquez-Vasconez Pedro Alexander , Chaves-Ordoñez Reyven Yair , Pantoja Unigarro Juan David , Hernandez Diaz Tharling Yadhannia , Lagos Mora Luz Estela , Betancourth García Carlos , Salazar-Gonzalez Claudia
Published: October 2024

Phytophthora infestans remains a major threat to global potato production. This study focused on characterizing and assessing the pathogenicity of P. infestans isolates on detached potato leaves and in greenhouse trials across four cultivars. Seven isolates were obtained from high potato-producing regions in the department of Nariño, Colombia. The isolates were analyzed using 12 microsatellite markers to determine genetic distances. Two genetically distinct isolates showed markedly different pathogenicity on detached leaves: isolate P00921 caused complete infection by day five, whereas P00321 showed no symptoms. These two isolates (P00921 and P00321) selected for having the greatest genetic distance and highest pathogenicity among the seven analyzed were further tested in a greenhouse setup on four potato cultivars using a randomized block design. Disease progression was monitored over nine days. The results indicated significant variations in pathogenicity linked to genetic diversity among isolates. Notably, Capiro and Margarita cultivars were more prone to severe disease than Suprema and Única. These findings highlight the complex nature of host–pathogen interactions and suggest the need for tailored approaches in disease management and cultivar selection.
Dynamics of Peripheral Lymphocyte Subsets from Birth until Old Age
Authors: Taher Nawal A. B. , Isaza-Correa Johana M. , Melo Ashanty M. , Kelly Lynne A. , Al-Harbi Alhanouf I. , O’Dea Mary I. , Zareen Zunera , Ryan Emer , Omer Murwan , Townsend Liam , Molloy Eleanor J. , Doherty Derek G.
Published: October 2024

The immune system is inexperienced before birth and tends to be tolerogenic, rather than immunogenic. After birth, the adaptive immune system develops while facing microbial challenges, but it can become impaired as old age progresses and persistent inflammation can lead to chronic morbidity, disability and frailty. To investigate the potential contributions of lymphocyte subsets to immunity from birth until old age, we enumerated circulating innate and conventional lymphocytes and measured serum cytokine levels in 10 cord blood samples and in peripheral blood from 10 healthy term neonates, 23 healthy school-age children, 25 young adults and 11 older subjects. Flow cytometric analysis revealed that B cell frequencies increase during childhood and gradually decrease into adulthood, whereas natural killer cell frequencies increase throughout life. T cell frequencies remained relatively constant throughout life, as did their expression of CD4 and CD8. However, all four innate T cell populations studied—invariant natural killer T cells, mucosa-associated invariant T cells and the Vδ1 and the Vδ2 subsets of γδ T cells—were extremely rare in cord blood and in peripheral blood of neonates, but they expanded after birth reaching highest levels in adulthood. Analysis of serum cytokine levels revealed that proinflammatory and T helper type 1 (Th1) cytokine levels increase in adulthood, whereas Th2 and Th17 cytokine levels remain relatively constant. These changes in lymphocyte numbers and cytokine levels across the lifetime are likely to affect immunocompetence, leaving newborn and elderly people susceptible to infection, cancer and immune-mediated disease.
Sensitivity Analysis of Traffic Sign Recognition to Image Alteration and Training Data Size
Authors: Rubio Arthur , Demoor Guillaume , Chalmé Simon , Sutton-Charani Nicolas , Magnier Baptiste
Published: October 2024

Accurately classifying road signs is crucial for autonomous driving due to the high stakes involved in ensuring safety and compliance. As Convolutional Neural Networks (CNNs) have largely replaced traditional Machine Learning models in this domain, the demand for substantial training data has increased. This study aims to compare the performance of classical Machine Learning (ML) models and Deep Learning (DL) models under varying amounts of training data, particularly focusing on altered signs to mimic real-world conditions. We evaluated three classical models: Support Vector Machine (SVM), Random Forest, and Linear Discriminant Analysis (LDA), and one Deep Learning model: Convolutional Neural Network (CNN). Using the German Traffic Sign Recognition Benchmark (GTSRB) dataset, which includes approximately 40,000 German traffic signs, we introduced digital alterations to simulate conditions such as environmental wear or vandalism. Additionally, the Histogram of Oriented Gradients (HOG) descriptor was used to assist classical models. Bayesian optimization and k-fold cross-validation were employed for model fine-tuning and performance assessment. Our findings reveal a threshold in training data beyond which accuracy plateaus. Classical models showed a linear performance decrease under increasing alteration, while CNNs, despite being more robust to alterations, did not significantly outperform classical models in overall accuracy. Ultimately, classical Machine Learning models demonstrated performance comparable to CNNs under certain conditions, suggesting that effective road sign classification can be achieved with less computationally intensive approaches.
A Comparative Analysis of Automated Machine Learning Tools: A Use Case for Autism Spectrum Disorder Detection
Authors: Abbas Rana Tuqeer , Sultan Kashif , Sheraz Muhammad , Chuah Teong Chee
Published: October 2024

Automated Machine Learning (AutoML) enhances productivity and efficiency by automating the entire process of machine learning model development, from data preprocessing to model deployment. These tools are accessible to users with varying levels of expertise and enable efficient, scalable, and accurate classification across different applications. This paper evaluates two popular AutoML tools, the Tree-Based Pipeline Optimization Tool (TPOT) version 0.10.2 and Konstanz Information Miner (KNIME) version 5.2.5, comparing their performance in a classification task. Specifically, this work analyzes autism spectrum disorder (ASD) detection in toddlers as a use case. The dataset for ASD detection was collected from various rehabilitation centers in Pakistan. TPOT and KNIME were applied to the ASD dataset, with TPOT achieving an accuracy of 85.23% and KNIME achieving 83.89%. Evaluation metrics such as precision, recall, and F1-score validated the reliability of the models. After selecting the best models with optimal accuracy, the most important features for ASD detection were identified using these AutoML tools. The tools optimized the feature selection process and significantly reduced diagnosis time. This study demonstrates the potential of AutoML tools and feature selection techniques to improve early ASD detection and outcomes for affected children and their families.
New Molecular Phylogenetic Evidence Confirms Independent Origin of Coxal Combs in the Families of the ‘Cydnoid’ Complex (Hemiptera: Heteroptera: Pentatomoidea)
Authors: Lis Jerzy A. , Domagała Paweł J. , Lis Barbara
Published: October 2024

Coxal combs, found only in members of the ‘cydnoid’ complex (comprising four families: Cydnidae, Parastrachiidae, Thaumastellidae, and Thyreocoridae) within the superfamily Pentatomoidea, have long been regarded as a character confirming their close evolutionary relationship. However, many studies have demonstrated that these four families are phylogenetically distant. Others have been treated as subfamilies of the broadly defined Cydnidae, with the coxal combs as the only character linking them. This is the first study on the origin of coxal combs in species of all families and subfamilies that represent the broadly conceived Cydnidae (69 species in 39 genera). Moreover, this study presents the first 16S rDNA gene sequences providing a basis for such analyses. The analyses included DNA sequences of 62 species in 34 genera of Cydnidae sensu stricto, three species in two genera of Thyreocoridae, two species in two genera of Parastrachiidae, and two species in one genus of Thaumastellidae. The sequence analysis in the family Cydnidae covered 35 species representing 19 genera of the subfamily Cydninae, 16 species in eight genera of the subfamily Sehirinae, five species in two genera of Amnestinae, three species in three genera of Garsauriinae, two species in one genus of Cephalocteinae, and one species of Amaurocorinae. The results of our study demonstrate the independent origin of coxal combs in taxa of the ‘cydnoid’ complex within the superfamily Pentatomoidea. They confirm the polyphyly not only of the entire ‘cydnoid’ complex but also of the family Cydnidae itself.
Elevated Cardiac Troponin Levels as a Predictor of Increased Mortality Risk in Non-Cardiac Critically Ill Patients Admitted to a Medical Intensive Care Unit
Authors: Akbas Turkay
Published: October 2024

Background: Cardiac troponin I (TnI) is a specific marker of myocardial damage used in the diagnosis of acute coronary syndrome (ACS). TnI levels can also be elevated in patients without ACS, which is linked to a worse prognosis and mortality. We evaluated the clinical implications and prognostic significance of serum TnI levels in critically ill non-cardiac patients admitted to the intensive care unit (ICU) at a tertiary-level hospital. Materials and Methods: A three-year retrospective study including the years 2017–2020 was conducted to evaluate in-hospital mortality during ICU stay and mortality rates at 28 and 90 days, as well as one and two years after admission, in 557 patients admitted to the medical ICU for non-cardiac causes. Results: TnI levels were elevated in 206 (36.9%) patients. Patients with elevated TnI levels were significantly older and had higher rates of comorbidities, including chronic heart failure, coronary heart disease, and chronic kidney disease (p < 0.05 for all). Patients with elevated TnI levels required more invasive mechanical ventilation, vasopressor infusion, and dialysis in the ICU and experienced more shock within the first 72 h (p = 0.001 for all). High TnI levels were associated with higher Acute Physiological and Chronic Health Evaluation (APACHE) II (27.6 vs. 20.3, p = 0.001) and Sequential Organ Failure assessment (8.8 vs. 5.26, p = 0.001) scores. Elevated TnI levels were associated with higher mortality rates at 28 days (58.3% vs. 19.4%), 90 days (69.9% vs. 35.0%), one year (78.6% vs. 46.2%), and two years (82.5% vs. 55.6%) (p < 0.001 for all). Univariate logistic regression analysis revealed that high TnI levels were a strong independent predictor of mortality at all time points: 28 days (OR = 1.2, 95% CI: 1.108–1.3, p < 0.001), 90 days (OR = 1.207, 95% CI: 1.095–1.33, p = 0.001), one year (OR = 1.164, 95% CI: 1.059–1.28, p = 0.002), and two year (OR = 1.119, 95% CI: 1.026–1.22, p = 0.011). Multivariate analysis revealed that age, albumin level, APACHE II score, and requirements for dialysis and vasopressor use in the ICU were important predictors of mortality across all timeframes, but elevated TnI levels were not. Conclusions: Elevated TnI levels in critically ill non-cardiac patients are markers of disease severity. While elevated TnI levels were significant predictors of mortality in the univariate analysis, they lost significance in the multivariate model when adjusted for other factors. Patients with elevated TnI levels had higher mortality rates across all timeframes, from 28 days to two years.
Depression, Anxiety, and Health-Related Quality of Life in Adults with Type 2 Diabetes
Authors: Alwhaibi Monira
Published: October 2024

Background: Adults with type 2 diabetes are at a greater probability of suffering from mental health issues, which could result in a substantial effect on their HRQoL (health-related quality of life). Thus, the focus of this research was to investigate the relationship between comorbid anxiety, depression, and HRQoL among individuals with type 2 diabetes. Methods: Data from the Medical Expenditure Panel Survey from 2016 to 2021 were used to identify adult patients with type 2 diabetes diagnoses for this research. The MEPS used the SF-12 to measure HRQoL. The study employed multivariable linear regression to analyze the association between anxiety, depression, and HRQoL in individuals with type 2 diabetes, taking into consideration several confounding variables such as age, gender, and comorbidities. Results: This study included 5259 individuals with type 2 diabetes, of which the mean age was 52.9 years, 50.7% were men, and 49.3% were women. The findings from this sample show a negative relationship between anxiety, depression, and type 2 diabetic patients’ HRQoL. It shows that after adjusting for other factors, diabetes patients with depression (MCS: = −6.817), anxiety (MCS: = −4.957), and both (MCS: = −0.344) have a significantly poorer HRQoL than those without these mental health comorbidities (p-value < 0.001). It also demonstrated the adverse effects on HRQoL of having coexisting chronic illnesses like heart disease, hypertension, and other chronic illnesses, along with a low socioeconomic status. Additionally, it revealed the benefits of employment, education, and regular exercise for HRQoL. Conclusions: The study’s findings highlight the links between anxiety, depression, and type 2 diabetes patients’ poor HRQoL. It also showed the adverse effects of coexisting chronic diseases and low socioeconomic status on HRQoL and the benefit of work and exercise on HRQoL. These findings can help policymakers to reform healthcare and enforce the early detection and treatment of anxiety and depression to enhance the HRQoL of type 2 diabetic patients.
The Sub-Pulmonary Left Ventricle in Patients with Systemic Right Ventricle, the Paradoxical Neglected Chamber: A Cardiac Magnetic Resonance Feature Tracking Study
Authors: Piana Sofia , Pozza Alice , Cavaliere Annachiara , Molinaroli Anna , Cattapan Irene , Fumanelli Jennifer , Avesani Martina , Reffo Elena , Di Salvo Giovanni
Published: October 2024

Background/Objective: The impact of subpulmonary left ventricle (LV) dysfunction in patients with a systemic right ventricle (SRV) is insufficiently characterized, with only a few studies suggesting its prognostic significance. Additionally, its evaluation through imaging techniques is a challenge. To assess the correlation between quantitative cardiac magnetic resonance-feature tracking (CMR-FT) data and the risk of clinical events related to the natural history of SRV failure. Methods: In this cross-sectional study, 21 patients with a diagnosis of transposition of the great arteries (TGA) and atrial switch operation (AtSO) or congenitally corrected transposition (ccTGA) were recruited. All participants underwent CMR-FT analysis. Considered clinical events included NYHA class deterioration (from I-II to III-IV), increased diuretic therapy, arrhythmias, sudden cardiac death, and hospitalizations. Results: The cohort consisted of 52.4% males (mean age: 25.4 ± 11.9 years). Eleven patients were diagnosed with ccTGA. Of the 10 patients with TGA post-AtSO, 50% had undergone Mustard repair. Clinical events occurred in 11 patients, with 47.6% experiencing hospitalizations and 28.6% developing arrhythmias. Left ventricular global longitudinal strain (LV GLS) was significantly associated with event-risk in both univariate and multivariate analyses (p = 0.011; p = 0.025). A cut-off value of LV GLS > −19.24 was proposed to stratify high-risk patients (p = 0.001). Conclusions: Our study confirms the role of subpulmonary LV function in determining outcomes of SRV patients. The assessment of LV GLS by using CMR-FT could significantly enhance clinical management during follow-up.
Unlocking the Potential of Computed Tomography-Guided Tracers in Pinpointing Lung Lesions during Surgery: A Collaborative Multi-Institutional Journey
Authors: Potenza Rossella , Andolfi Marco , Dell’Amore Andrea , Lugaresi Marialuisa , Roca Gabriella , Valentini Leonardo , Catelli Chiara , Buia Francesco , Dolci Giampiero , Floridi Chiara , Moretti Riccardo , Colafigli Claudia , Refai Majed , Rea Federico , Puma Francesco , Daddi Niccolò
Published: October 2024

Background: Multiple techniques exist for the preoperative localization of small, deeply located solid or subsolid pulmonary nodules to guide limited thoracoscopic resection. This study aims to conduct a multi-institutional comparison of three different tomography-guided tracers’ methods. Methods: A retrospective multicenter cross-sectional study was conducted. All patients suitable for CT-guided tracers with microcoil (GROUP1, n = 58), hook wire (GROUP2, n = 86), or bioabsorbable hydrogel plug (GROUP3, n = 33) were scheduled for video-assisted thoracoscopic wedge resection. Outcome variables: successful nodule localization, safety, and the feasibility of the tracers’ placement. A χ2 test or Fisher’s test for expected numbers less than five and a Kruskal–Wallis test were used to analyze the categorical and continuous variables, respectively. For the power calculations, we used G*Power version 3.1.9.6. Results: One hundred seventy-seven patients underwent the localization and resection of 177 nodules detected with three different CT-guided tracers. A significant difference was recorded for cancer history (p = 0.030), respiratory function, Charlson comorbidity index (p = 0.018), lesion type (p < 0.0001), distance from pleura surface (p < 0.0001), and time between preoperative CT-guided tracers and surgical procedures (p < 0.0001). Four post-procedural complications were recorded and in GROUP2, four cases of tracer dislocations occurred. Finally, hook wire group was associated with the shortest surgical time (93 min, p = 0.001). Conclusions: All methods were feasible and efficient, resulting in a 100% success rate for the microcoils and the bioabsorbable hydrogel plugs and a 94.2% success rate for the hook wires. Our results highlight the need to choose a technique that is less stressful for the patient and helps the surgeon by extending the approach to deep nodules and resecting over the course of several days from deployment.
Percutaneous Tibial Nerve Stimulation’s Impact on Sexual Function in Female Patients with Neurogenic Detrusor Overactivity, Sexual Dysfunction, and Multiple Sclerosis
Authors: Zachariou Athanasios , Giannakis Ioannis , Kaltsas Aris , Zikopoulos Athanasios , Skentou Charikleia , Stavros Sofoklis , Potiris Anastasios , Zachariou Dimitrios , Baltogiannis Dimitrios , Phuc Cam Hoang Nguyen , Sopheap Bou , Tien Dung Mai Ba , Sofikitis Nikolaos
Published: October 2024

Background/Objectives: Multiple sclerosis (MS) frequently results in both urinary and sexual dysfunction, which significantly impairs quality of life. Conventional treatments for bladder dysfunction often prove insufficient, leading to the exploration of alternative therapies such as percutaneous tibial nerve stimulation (PTNS). This study aimed to assess the impact of PTNS on sexual function and bladder symptoms in female MS patients with neurogenic detrusor overactivity (NDO) and female sexual dysfunction (FSD). Methods: A total of 65 female MS patients with NDO were evaluated and underwent 12 weeks of standardized PTNS treatment. Sexual function was assessed using the Female Sexual Function Index (FSFI) and the Female Sexual Distress Scale-Revised (FSDS-R), while bladder symptoms were evaluated using the OAB-v8 questionnaire. Participants were grouped based on the presence of sexual dysfunction and distress and compared to a control group of 20 patients who declined PTNS. Results: Significant improvements were observed in FSFI scores across multiple domains (desire, arousal, lubrication, orgasm, satisfaction, and pain) in the treatment groups (p < 0.05). Additionally, 58.46% of patients showed positive responses to PTNS regarding overactive bladder symptoms (OAB-v8 score), while the control group showed no significant changes. Conclusions: PTNS appears to be an effective therapeutic option for improving sexual function and urinary symptoms in female MS patients with NDO and FSD, offering a promising non-invasive alternative for managing these conditions.
Deep Learning-Adjusted Monitoring of In-Hospital Mortality after Liver Transplantation
Authors: Börner Nikolaus , Schoenberg Markus B. , Pöllmann Benedikt , Pöschke Philipp , Böhm Christian , Koch Dominik , Drefs Moritz , Koliogiannis Dionysios , Andrassy Joachim , Werner Jens , Guba Markus Otto
Published: October 2024

Background: Surgeries represent a mainstay of medical care globally. Patterns of complications are frequently recognized late and place a considerable burden on health care systems. The aim was to develop and test the first deep learning-adjusted CUSUM program (DL-CUSUM) to predict and monitor in-hospital mortality in real time after liver transplantation. Methods: Data from 1066 individuals with 66,092 preoperatively available data point variables from 2004 to 2019 were included. DL-CUSUM is an application to predict in-hospital mortality. The area under the curve for risk adjustment with Model of End-stage Liver Disease (D-MELD), Balance of Risk (BAR) score, and deep learning (DL), as well as the ARL (average run length) and control limit (CL) for an in-control process over 5 years, were calculated. Results: D-MELD AUC was 0.618, BAR AUC was 0.648 and DL model AUC was 0.857. CL with BAR adjustment was 2.3 with an ARL of 326.31. D-MELD reached an ARL of 303.29 with a CL of 2.4. DL prediction resulted in a CL of 1.8 to reach an ARL of 332.67. Conclusions: This work introduces the first use of an automated DL-CUSUM system to monitor postoperative in-hospital mortality after liver transplantation. It allows for the real-time risk-adjusted monitoring of process quality.
Impact of a Bundle of Interventions on the Spectrum of Parenteral Drug Preparation Errors in a Neonatal and Pediatric Intensive Care Unit
Authors: von Hobe Sabine , Schoberer Mark , Orlikowsky Thorsten , Müller Julia , Kusch Nina , Eisert Albrecht
Published: October 2024

Background/Objectives: This study aimed to evaluate the impact of a bundle of interventions on the error rates in preparing parenteral medications in a neonatal and pediatric intensive care unit (NICU/PICU). Methods: We conducted a prospective interventional study in a NICU/PICU in a tertiary university hospital as a follow-up to a prior study in the same setting. A clinical pharmacist and a pharmacy technician (PT) analyzed the workflow of drug preparation on the ward, identified high-alert medications, and defined a bundle of five interventions, which include the following: Drug Labeling: 1. EN ISO-DIVI labeling; Training: 2. Standardized preparation process on the ward; 3. eLearning Program; 4. Expert Consultations; and Location of Preparation: 5. Transfer of the preparation of high-alert medications and standardized preparations to the central pharmacy. After implementing the bundle of interventions, we observed the preparation process on the ward to evaluate if the implementation of the interventions had an impact on the quality of the drug preparation. Results: We observed 262 preparations in the NICU/PICU. Each single step of the preparation process was defined as an error opportunity. We defined seven error categories with an overall error opportunity of 1413. In total, we observed 11 errors (0.78%). The reduction in the overall error rate from 1.32% in the former study to 0.78% per preparation opportunity demonstrated that the implemented interventions were effective in enhancing medication safety. Conclusions: This study provides evidence that a bundle of interventions, including standardizing drug labeling, enhancing training, and centralizing the preparation of high-alert medications, can reduce medication errors in NICU/PICU settings.
Morphological Variability of the Sural Nerve and Its Clinical Significance
Authors: Marcinkowska Weronika , Zielinska Nicol , Szewczyk Bartłomiej , Łabętowicz Piotr , Głowacka Mariola , Olewnik Łukasz
Published: October 2024

The sural nerve provides sensory innervation to the skin on the distal posterolateral third of the lower extremity. The morphological variants are characterized by high variability. However, it most commonly arises from a union of the medial sural cutaneous nerve and the peroneal communicating branch of the common fibular nerve. This article overviews the anatomical and clinical significance of the sural nerve. Despite the remarkable development of genetic diagnostics, sural nerve biopsy is still a very important tool to diagnose peripheral neuropathies such as diabetic, vascular and inflammatory neuropathies. Furthermore, the sural nerve is also commonly transplanted due to its characteristics. Such a procedure is applicable in cases of segmental nerve loss, but it is also used to restore potency in patients after radical prostatectomy. The knowledge of anatomical variants of the sural nerve is also crucial as it allows to minimize its damage during surgical procedures. Furthermore, during an ankle surgery, a nerve block can be used to complement anesthesia. The major aim of this work is to review contributions of the sural nerve to physiological and pathophysiological processes.
Cardiovascular Risk in Patients with Ankylosing Spondylitis
Authors: Klisic Aleksandra , Kotur-Stevuljevic Jelena , Cure Osman , Kizilkaya Bayram , Beyazal Celiker Fatma , Er Huseyin , Mercantepe Filiz
Published: October 2024

Objectives: Ankylosing spondylitis (AS) is an autoinflammatory, chronic disease. Patients with AS are at increased risk of cardiovascular disease (CVD). The link between AS and subclinical atherosclerosis is multifactorial and still not completely understood. The aim of this study was to examine the potential associations between carotid intima–media thickness (cIMT) and different cardiometabolic biomarkers in individuals with AS. Methods: A total of 96 patients with AS were prospectively included. cIMT was measured via ultrasonography. Multiple linear regression analysis was used to find the best predictors of cIMT values. Principal component analysis (PCA) was implemented to extract factors that were further tested via binary logistic regression analysis in relation to cIMT. Results: Waist circumference (WC), low-density lipoprotein cholesterol (LDL-c), and the BASDAI score were independently correlated with cIMT in AS patients (p = 0.037, p = 0.060, and p = 0.048, respectively; adjusted R2 = 0.113). PCA extracted four panels of biomarkers, i.e., “haematology–lipid-related factor” (i.e., ferritin, haemoglobin, HDL-c, and triglycerides), “proinflammatory–prothrombotic-related factor” (i.e., platelets, neutrophils, and C-reactive protein), “LDL-c–vitamin-related factor” (i.e., vitamins D and B12, and LDL-c), and “age–glucometabolic-related factor” (i.e., age and HbA1c), in relation to higher cIMT in patients with AS. Among these four clusters, “age–glucometabolic-related factor” was an independent predictor of increased cIMT (p < 0.001). Conclusions: In addition to traditional cardiometabolic risk factors, WC and LDL-c, the disease activity score (BASDAI) is independently related to subclinical atherosclerosis in AS patients. The joint involvement of heterogeneous cardiometabolic risk factors may reflect different pathophysiological processes of subclinical atherosclerosis in patients with AS.
A Risk Assessment Analysis to Enhance the Security of OT WAN with SD-WAN
Authors: Abergos Van Joshua , Medjek Faiza
Published: October 2024

This paper introduces a comprehensive risk assessment of various wide area network (WAN) technologies as applied to Operational Technology (OT) infrastructures, thus uncovering which WAN technology is best suited for OT to mitigate the risks of Denial of View (DoV), Denial of Control (DoC), and Denial of Service (DoS). A new risk weight-based evaluation approach is proposed following NIST CSF and ISA/IEC 62443 standard risk scoring (RS). In this approach, RS was modified by introducing new risk metrics, namely, risk (Rn), mitigation (Mm), risk prioritization (WRn), and mitigation prioritization (WMm) to create a specialized probability formula to assess risks on OT WAN infrastructure. The proposed formula has been implemented to automate data analysis and risk scoring across nine WAN technologies. The obtained results demonstrated that software-defined wide area network (SD-WAN) has the best security features that even overshadow its vulnerabilities to perform not just as a WAN solution but as a security solution against DoV, DoC, and DoS. Furthermore, this paper identifies and highlights what to prioritize when designing and assessing an SD-WAN setup. In addition, this paper proposes an SD-WAN-based architecture to reduce DoV, DoC, and DoS risks.
The Development of a Floating Mono-Particle “Sun Shield” to Protect Corals from High Irradiance during Bleaching Conditions
Authors: Scofield Joel M. P. , Prime Emma L. , Flores Florita , Severati Andrea , Mongin Mathieu , Bougeot Elodie , Baird Mark E. , Negri Andrew P. , Qiao Greg G.
Published: October 2024

Coral bleaching is occurring more frequently as the climate changes, with multiple mass mortality events recently recorded on the Great Barrier Reef. Thermal stress coupled with high irradiance have previously been shown to be primary causes for coral bleaching. Therefore, a reduction in either of these pressures could reduce coral stress and eventual bleaching. Herein, we report the early development of a novel technology capable of reducing the amount of light entering a water body by ~20% in open ocean conditions. This mono-particle “sun shield” consists of an ultra-thin monolayer material and reflective calcium carbonate particles. The monolayer enables spreading of the particles into a thin film across the water surface, with only small amounts of material needed: 7.1 g/m2. A numerical modelling case study of residence times and the build-up of reactive oxygen stress in corals showed that the successful application of a stable film over the Lizard Island reef flat could reduce the reactive oxygen stress to below bleaching levels across approximately 1.5 km2 of reef area. With further development, mono-particle films such as this have the potential to be deployed over at-risk coral reefs at relatively small scales during predicted heatwave conditions, potentially reducing the severity of bleaching on coral reefs.
Experimental and Numerical Analysis of the Impact of Corrosion on the Failure Pressure of API 5L X65 Pipeline
Authors: Zhao Hongyang , Liang Xu , Yang Zhiguo , He Pei , Zhao Bowen
Published: October 2024

This paper employs the Finite Element Method (FEM) to simulate and analyze the effects of corrosion defect parameters on the stress and failure pressure of pipelines. It investigates how the boundary conditions of the pipeline model influence stress and examines the sensitivity of failure pressure to corrosion defect parameters. A nonlinear regression equation has been developed from a dataset obtained through simulation experiments to predict the failure pressure of corroded pipelines. To validate the effects of corrosion defect parameters on failure pressure, a hydrostatic test platform for an API 5L X65 pipeline with corrosion defects was established to measure stress levels and failure pressures across varying corrosion defects. This study reveals that failure pressure is negatively correlated with corrosion length and depth, while positively correlated with corrosion width. Among these parameters, corrosion depth exerts a more significant influence on the pipeline’s failure pressure than corrosion length and width. Within the range of corrosion defect parameters examined, the maximum deviation of the prediction equation’s results from the simulation results is 8.71%, with an average deviation of 5.81%. The standard deviation of the fitted residuals is 0.01837. Additionally, the maximum deviation between the predicted results and experimental measurements is 8.39%, with an average deviation of 7.77%. The strong agreement between the predicted results from the equation and the actual measured data underscores the effectiveness of the nonlinear regression equation.
Prevalence, Species Distribution and Resistance of Candidemia in Pediatric and Adult Patients in a Northeast Italy University Hospital
Authors: Meneghello Silvia , Bernabè Giulia , Di Pietra Giuseppe , Di Sopra Sarah , Del Vecchio Claudia , Cattelan Anna Maria , Castagliuolo Ignazio , Brun Paola
Published: October 2024

Candidemia and invasive candidiasis (IC) are causes of morbidity and mortality in healthcare settings, with notable differences between children and adults. Understanding the species distribution and antimicrobial susceptibility profiles of clinical isolates can guide empiric therapy in patients at risk of IC. This study investigated the incidence and antifungal susceptibility patterns of yeasts involved in IC in pediatric and adult patients from 2019 to 2023. The average incidence of IC was 0.715 per 1000 patients, increasing over the study period; infants had the highest incidence rates. Over half of the IC episodes occurred in intensive care units (ICUs). Non-albicans Candida (NAC) species represented the most frequently isolated species in adults and children (55.96% and 50.0%, respectively), with the prevalence of C. parapsilosis (26.45% and 14.7%, respectively), N. glabratus (14.97% and 8.82%, respectively) and C. tropicalis (4.36% and 2.94%, respectively). C. lusitaniae was identified in 14.7% of pediatric IC cases. In NAC species, antifungal resistance has also increased over the five years of the study: 69.12% were resistant to azoles and 7.35% were resistant to micafungin. Resistance was higher in pediatric patients. Our study highlights differences in IC characteristics between pediatric and adult populations and emphasizes the importance of targeted antifungal stewardship in ICU patients with NAC invasive infections.
What Quality Suffices for Nanopore Metabarcoding? Reconsidering Methodology and Ectomycorrhizae in Decaying Fagus sylvatica Bark as Case Study
Authors: Dierickx Glen , Tondeleir Lowie , Asselman Pieter , Vandekerkhove Kris , Verbeken Annemieke
Published: October 2024

Nanopore raw read accuracy has improved to over 99%, making it a potential tool for metabarcoding. For broad adoption, guidelines on quality filtering are needed to ensure reliable taxonomic unit recovery. This study aims to provide those guidelines for a fungal metabarcoding context and to apply them to a case study of ectomycorrhizae in the decaying bark of Fagus sylvatica. We introduce the eNano pipeline to test two standard metabarcoding approaches: (1) Reference-based mapping leveraging UNITE’s species hypothesis system (SH approach); (2) Constructing 98% OTUs (OTU approach). Our results demonstrate that both approaches are effective with Nanopore data. When using a reference database, we recommend strict mapping criteria rather than Phred-based filtering. Leveraging the SH-system further enhances reproducibility and facilitates cross-study communication. For the 98% OTUs, filtering reads at ≥Q25 is recommended. Our case study reveals that the decay gradient is a primary determinant of community composition and that specific mycorrhizal fungi colonize decaying bark. Complementing our metabarcoding results with root tip morphotypification, we identify Laccaria amethystina and Tomentella sublilacina as key ectomycorrhizae of saplings on decaying logs. These findings demonstrate that Nanopore sequencing can provide valuable ecological insights and support its broader use in fungal metabarcoding as read quality continues to improve.
Eucalyptus and Native Broadleaf Mixed Cultures Boost Soil Multifunctionality by Regulating Soil Fertility and Fungal Community Dynamics
Authors: Wang Huaxiang , Tian Dian , Cao Jizhao , Ren Shiqi , Zhu Yuanli , Wang Huili , Wu Lichao , Chen Lijun
Published: October 2024

The growing recognition of mixed Eucalyptus and native broadleaf plantations as a means of offsetting the detrimental impacts of pure Eucalyptus plantations on soil fertility and the wider ecological environment is accompanied by a clear and undeniable positive impact on forest ecosystem functions. Nevertheless, the question of how mixed Eucalyptus and native broadleaf plantations enhance soil multifunctionality (SMF) and the mechanisms driving soil fungal communities remains unanswered. In this study, three types of mixed Eucalyptus and native broadleaf plantations were selected and compared with neighboring evergreen broadleaf forests and pure Eucalyptus plantations. SMF was quantified using 20 parameters related to soil nutrient cycling. Partial least squares path modeling (PLS-PM) was employed to identify the key drivers regulating SMF. The findings of this study indicate that mixed Eucalyptus and native broadleaf plantations significantly enhance SMF. Mixed Eucalyptus and native broadleaf plantations led to improvements in soil properties (7.60–52.22%), enzyme activities (10.13–275.51%), and fungal community diversity (1.54–29.5%) to varying degrees compared with pure Eucalyptus plantations. Additionally, the mixed plantations exhibit enhanced connectivity and complexity in fungal co-occurrence networks. The PLS-PM results reveal that soil properties, fungal diversity, and co-occurrence network complexity directly and positively drive changes in SMF. Furthermore, soil properties exert an indirect influence on SMF through their impact on fungal diversity, species composition, and network complexity. The findings of this study highlight the significant role of mixed Eucalyptus and native broadleaf plantations in enhancing SMF through improved soil properties, fungal diversity, and co-occurrence network complexity. This indicates that incorporating native broadleaf species into Eucalyptus plantations can effectively mitigate the negative impacts of monoculture plantations on soil health and ecosystem functionality. In conclusion, our study contributes to the understanding of how mixed plantations influence SMF, offering new insights into the optimization of forest management and ecological restoration strategies in artificial forest ecosystems.
Phylogenetic and Morphological Perspectives on Crepidotus subg. Dochmiopus: Exploratively Unveiling Hidden Diversity in China
Authors: Han Menghui , Na Qin , Wei Renxiu , Zeng Hui , Hu Yaping , Zhang Libo , Du Jinhong , Zou Li , Tang Weimin , Cheng Xianhao , Ge Yupeng
Published: October 2024

Crepidotus subg. Dochmiopus contributes to more than half of Crepidotus species and exhibits highly hidden diversity. However, C. subg. Dochmiopus is challenging to study because the basidiomata of C. subg. Dochmiopus species are usually small and white, inconspicuous interspecific distinctions, and possess a familiar complex. In this study, we utilized a variety of characteristics for species identification, including habitat, presence or absence of a stipe in mature specimens, pileipellis and cheilocystidia patterns, whether the lamellae edges are fimbriated, and other characteristics. Above all, cheilocystidia and pileipellis patterns will be important in C. subg. Dochmiopus research. Based on the present specimens, we constructed a multigene phylogenetic tree (ITS + LSU) and recognized four new species: C. lamellomaculatus sp. nov., C. capitatocystidiatus sp. nov., C. succineus sp. nov., C. clavocystidiatustustus sp. nov. Detailed morphological descriptions, photographs, line drawings and comparisons with closely related taxa for the new species are provided. The current phylogenetic analysis does not support the previously classifications, indicating that the classification of Crepidotus requires re-evaluation. But the existing molecular datasets and species’ descriptions are insufficient to fully resolve the classification. Further integration of new gene segments and a comprehensive review of morphological characteristics will reveal a natural classification for Crepidotus.
Altered Expression of Thyroid- and Calcium Ion Channels-Related Genes in Rat Testes by Short-Term Exposure to Commercial Herbicides Paraquat or 2,4-D
Authors: Luis Enoch , Conde-Maldonado Vanessa , García-Nieto Edelmira , Juárez-Santacruz Libertad , Alvarado Mayvi , Anaya-Hernández Arely
Published: October 2024

Exposure to pesticides such as paraquat and 2,4-dichlorophenoxyacetic acid (2,4-D) has been linked to harmful health effects, including alterations in male reproduction. Both herbicides are widely used in developing countries and have been associated with reproductive alterations, such as disruption of spermatogenesis and steroidogenesis. The thyroid axis and Ca2+-permeable ion channels play a key role in these processes, and their disruption can lead to reproductive issues and even infertility. This study evaluated the short-term effects of exposure to commercial herbicides based on paraquat and 2,4-D on gene expression in rat testes. At the molecular level, exposure to paraquat increased the expression of the thyroid hormone transporters monocarboxylate transporter 8 (Mct8) and organic anion-transporting polypeptide 1C1 (Oatp1c1) and the thyroid receptor alpha (TRα), suggesting a possible endocrine disruption. However, it did not alter the expression of the sperm-associated cation channels (CatSper1-2) or vanilloid receptor-related osmotically activated channel (Trpv4) related to sperm motility. In contrast, exposure to 2,4-D reduced the expression of the Mct10 transporter, Dio2 deiodinase, and CatSper1, which could affect both the availability of T3 in testicular cells and sperm quality, consistent with previous studies. However, 2,4-D did not affect the expression of CatSper2 or Trpv4. Deregulation of gene expression could explain the alterations in male reproductive processes reported by exposure to paraquat and 2,4-D. These thyroid hormone-related genes can serve as molecular biomarkers to assess endocrine disruption due to exposure to these herbicides, aiding in evaluating the health risks of pesticides.
“Voiceless Pain”—Assessment of Pain in Patients with Obstetric Brachial Plexus Injuries: A Retrospective, Single Center Analysis
Authors: Tsolakidis Savas , Kim Bong-Sung , Alharbi Ziyad , Rosenauer Rudolf , Schmidhammer Robert , Supper Paul
Published: October 2024

Background: Obstetric brachial plexus injuries (OBPIs) not only lead to severe and life changing sequelae regarding motor impairment but can also be responsible for multi-characteristic pain. In everyday routine, questions regarding pain of the developing child with an OBPI are often overseen and neglected. We aimed to elucidate this specific question and analyzed all patients with OBPI treated in our center to unmask initially non-observed pain and ultimately put pain in correlation to the surgical reconstructive treatment performed. Methods: This single center retrospective study analyzes patients with OBPI treated in our center over the past 20 years. Patients were surveyed by the adolescent pediatric pain tool assessment to evaluate pain over their entire life span by excluding potential postoperative pain episodes. Results: A total of 95 patients were initially contacted of which 78 returned the questionnaire (53.8% female, 46.2% male). In our patient cohort, the vast majority constituting 84.6 percent did not experience pain in the affected upper extremity over the years up to the date of their examination. Most of the patients describing pain had not been microsurgically treated for brachial plexus reconstruction in their neonate period. Merely, 33.3 percent of all OBPI experiencing pain had been microsurgically reconstructed at a median age of 7 months. Conclusions: Pain interrogation in patients with OBPI is often overseen during daily clinical routine. Adequate age-appropriate analgesic therapy regimens adapted to the individual are highly recommended. Timely microsurgical brachial plexus reconstruction may result in reduced lifetime pain experiences.