bluuebunny/crossref_metadata_2025 huggingface dataset:
The Parameterized Oceanic Front-Guided PIX2PIX Model: A Limited Data-Driven Approach to Oceanic Front Sound Speed Reconstruction
Authors: Xu Weishuai , Zhang Lei , Ma Xiaodong , Li Ming , Yao Zhongshan
Published: October 2024

In response to the demand for high-precision acoustic support under the condition of limited data, this study utilized high-resolution reanalysis data and in situ observation data to extract the Kuroshio Extension Front (KEF) section through front-line identification methods. By combining the parameterized oceanic front model and the statistical features of big data, the parameterized oceanic front was reconstructed. A proxy dataset was generated using the Latin hypercube sampling method, and the sound speed reconstruction model based on the PIX2PIX model was trained and validated using single sound speed profiles at different positions of the oceanic front, combined with the parameterized oceanic front model. The experimental results show that the proposed sound speed reconstruction model can significantly improve the reconstruction accuracy by introducing the parameterized front model as an additional input, especially in the shallow-water area. The mean absolute error (MAE) of the full-depth sound speed reconstruction for this model is 0.63~0.95 m·s−1, and the structural similarity index (SSIM) is 0.76~0.78. The MAE of the sound speed section within a 1000 m depth is reduced by 6.50~37.62%, reaching 1.95~3.31 m·s−1. In addition, the acoustic support capabilities and generalization of the model were verified through ray tracing models and in situ data. This study contributes to advancing high-precision acoustic support in data-limited oceanic environments, laying a solid groundwork for future innovations in marine acoustics.
Dynamics of Sandy Shorelines and Their Response to Wave Climate Change in the East of Hainan Island, China
Authors: Xu Wei , Chen Shenliang , Ji Hongyu , Hu Taihuan , Zhong Xiaojing , Li Peng
Published: October 2024

Beach erosion and shoreline dynamics are strongly affected by alterations in nearshore wave intensity and energy, especially in the context of global climate change. However, existing works do not thoroughly study the evolution of the sandy coasts of eastern Hainan Island, China, nor their responses to wave climate change driven by climate variability. This study focuses on the open sandy coast and assesses shoreline evolutionary dynamics in response to wave climate variability over a 30-year period from 1994 to 2023, using an open-source software toolkit that semi-automatically identify the shorelines (CoastSat v2.4) and reanalysis wave datasets (ERA5). The shorelines of the study area were extracted from CoastSat, and then tidal correction and outlier correction were performed for clearer shorelines. Combining the shoreline changes and wave conditions derived from ERA5, the dynamics of the shorelines and their response to wave climate change were further studied. The findings reveal that the average long-term shoreline change rate along the eastern coast of Hainan Island is 0.03 m/year, with 44.8% of transects experiencing erosion and 55.2% showing long-term accretion. And distinct evolutionary patterns emerge across different sections. Interannual variability is marked by alternating erosion and siltation cycles, while most sections of the coast experiences clear seasonal fluctuations, with accretion typically occurring during summer and erosion occurring in winter. El Niño–Southern Oscillation (ENSO) cycles drive changes in parameters including significant wave height, mean wave period, wave energy flux, and mean wave direction, leading to long-term changes in wave climate. The multi-scale behavior of the sandy shoreline responds distinctly to the ongoing changes in wave climate triggered by ENSO viability, with El Niño events typically resulting in accretion and La Niña periods causing erosion. Notably, mean wave direction is the metric most closely linked to changes in the shoreline among all the others. In conclusion, the interplay of escalating anthropogenic activities, natural processes, and climate change contributes to the long-term evolution of sandy shorelines. We believe this study can offer a scientific reference for erosion prevention and management strategies of sandy beaches, based on the analysis presented above.
Regulation of Catalase Expression and Activity by DhHog1 in the Halotolerant Yeast Debaryomyces hansenii Under Saline and Oxidative Conditions
Authors: de la Fuente-Colmenares Ileana , González James , Sánchez Norma Silvia , Ochoa-Gutiérrez Daniel , Escobar-Sánchez Viviana , Segal-Kischinevzky Claudia
Published: October 2024

Efficient transcriptional regulation of the stress response is critical for microorganism survival. In yeast, stress-related gene expression, particularly for antioxidant enzymes like catalases, mitigates reactive oxygen species such as hydrogen peroxide (H2O2), preventing cell damage. The halotolerant yeast Debaryomyces hansenii shows oxidative stress tolerance, largely due to high catalase activity from DhCTA and DhCTT genes. This study evaluates D. hansenii’s response to oxidative stress caused by H2O2 under saline conditions, focusing on cell viability, gene expression, and catalase activity. Chromatin organization in the promoter of DhCTA and DhCTT was analyzed, revealing low nucleosome occupancy in promoter regions, correlating with active gene expression. Stress-related motifs for transcription factors like Msn2/4 and Sko1 were found, suggesting regulation by the DhHog1 MAP kinase. Analysis of a Dhhog1Δ mutant showed DhHog1’s role in DhCTA expression under H2O2 or NaCl conditions. These findings highlight DhHog1’s critical role in regulating the stress response in D. hansenii, offering insights for enhancing stress tolerance in halotolerant yeasts, particularly for industrial applications in saline wastewater management.
Label-Free Optical Transmission Tomography for Direct Mycological Examination and Monitoring of Intracellular Dynamics
Authors: Teston Eliott , Sautour Marc , Boulnois Léa , Augey Nicolas , Dighab Abdellah , Guillet Christophe , Garcia-Hermoso Dea , Lanternier Fanny , Bougnoux Marie-Elisabeth , Dalle Frédéric , Basmaciyan Louise , Blot Mathieu , Charles Pierre-Emmanuel , Quenot Jean-Pierre , Podac Bianca , Neuwirth Catherine , Boccara Claude , Boccara Martine , Thouvenin Olivier , Maldiney Thomas
Published: October 2024

Live-cell imaging generally requires pretreatment with fluorophores to either monitor cellular functions or the dynamics of intracellular processes and structures. We have recently introduced full-field optical coherence tomography for the label-free live-cell imaging of fungi with potential clinical applications for the diagnosis of invasive fungal mold infections. While both the spatial resolution and technical set up of this technology are more likely designed for the histopathological analysis of tissue biopsies, there is to our knowledge no previous work reporting the use of a light interference-based optical technique for direct mycological examination and monitoring of intracellular processes. We describe the first application of dynamic full-field optical transmission tomography (D-FF-OTT) to achieve both high-resolution and live-cell imaging of fungi. First, D-FF-OTT allowed for the precise examination and identification of several elementary structures within a selection of fungal species commonly known to be responsible for invasive fungal infections such as Candida albicans, Aspergillus fumigatus, or Rhizopus arrhizus. Furthermore, D-FF-OTT revealed the intracellular trafficking of organelles and vesicles related to metabolic processes of living fungi, thus opening new perspectives in fast fungal infection diagnostics.
Ulnar Nerve Management in Complex Elbow Dislocations: A Retrospective Monocentric Study
Authors: Faccenda Carlotta , Dutto Elisa , Bosco Francesco , Lavia Alessandro Dario , Battiston Bruno
Published: October 2024

Background/Objectives: The ulnar nerve’s unique anatomy makes it vulnerable to complex elbow dislocations. Depending on the nature of the injury, the clinical treatment and outcomes related to the nerve may vary. Unfortunately, the current literature provides limited and fragmented information on managing the ulnar nerve and the incidence of neuropathy in complex elbow dislocations. This study aimed to determine the occurrence of ulnar nerve pain and its relationship with transposition. Methods: A retrospective evaluation was conducted on a consecutive series of 44 patients who underwent surgery for complex elbow dislocations. The average follow-up period was 29 months. Patients were categorized based on their condition (trans-olecranon fracture–dislocation, Terrible Triad, Monteggia-like lesions, and injuries not falling into the previous categories). The study assessed whether the ulnar nerve was released from the cubital tunnel and underwent transposition. Additionally, the study examined the number of patients experiencing ulnar pain in the postoperative period and its duration over time. All patients were also evaluated using the Mayo Elbow Performance Score (MEPS), Disabilities of Arm, Shoulder, and Hand (DASH) score, and Oxford Elbow Score (OES). Results: Patients who underwent simultaneous ulnar nerve transposition surgery with complex elbow dislocation showed a higher incidence of neuropathy. In these patients, the symptoms were less severe but lasted longer. MEPS, DASH, and OES did not show statistically significant differences between the two groups; however, they were slightly better for the group without ulnar nerve transposition. Conclusions: Surgeons should refrain from routinely transposing the ulnar nerve in complex elbow dislocations. However, further studies involving larger populations are necessary.
Maximizing Knee OA Treatment: A Comparative Look at Physiotherapy and Injections
Authors: Donati Danilo , Giorgi Federica , Domiziano Tarantino , Tarallo Luigi , Catani Fabio , Platano Daniela , Tedeschi Roberto
Published: October 2024

Background: Knee osteoarthritis (OA) is a prevalent and disabling condition often managed with physiotherapy or intra-articular injections. However, the comparative effectiveness of these treatments remains unclear. This systematic review aimed to evaluate and compare the efficacy of physiotherapy and intra-articular injections in managing knee OA. Methods: A systematic search of PubMed, Scopus, Web of Science, PEDro, and Cochrane Library was conducted. Randomized controlled trials (RCTs) comparing physiotherapy and intra-articular injections in knee OA patients were included. Key outcomes included pain (VAS), function (WOMAC, KOOS), range of motion (ROM), and quality of life. Data from five studies with a total of 552 participants were analyzed. Results: Intra-articular injections, particularly botulinum toxin and hyaluronic acid, were found to provide rapid pain relief, outperforming physiotherapy in short-term pain management. However, physiotherapy contributed significantly to long-term functional improvements, particularly in early-stage OA. Combination therapy of injections and physiotherapy yielded the best short-term pain relief and functional outcomes. Heterogeneity in study designs and follow-up periods limited the generalizability of findings. Conclusions: Intra-articular injections are effective for immediate pain control, while physiotherapy plays a crucial role in maintaining joint function, especially for long-term management. Combining both interventions may offer the most comprehensive benefits. Further research is needed to determine the long-term efficacy of these treatments.
Innovations in Pain Management for Abdominoplasty Patients: A Systematic Review
Authors: Lim Bryan , Seth Ishith , Cevik Jevan , Ratnagandhi Jeevan Avinassh , Bulloch Gabriella , Pentangelo Paola , Ceccaroni Alessandra , Alfano Carmine , Rozen Warren M. , Cuomo Roberto
Published: October 2024

Background/Objectives: Abdominoplasties are prevalent surgical procedures for improving lower abdominal contours, necessitating effective pain management. Insufficient management can increase opioid usage, dependency risks, and adverse effects. This review investigates various strategies in abdominoplasty pain management, aiming to reduce opioid dependence and improve patient care. Methods: A comprehensive systematic literature search (MEDLINE, Cochrane, PubMed, Web of Science, EMBASE) was conducted, spanning from their inception to January 2024, using keywords such as ‘abdominoplasty’ and ‘postoperative pain management’. Included studies focused on nonopioid interventions in adults, encompassing various study designs. Non-English publications and those not meeting outcome criteria were excluded. Bias in studies was assessed using specific tools for randomized and non-randomized trials. Results: Thirty-five studies, published between 2005 and 2024, were included, involving 3636 patients with an average age of 41.8. Key findings highlighted the effectiveness of transversus abdominis plane blocks in reducing opioid use and pain. Pain pump catheters also showed promise in improving pain management and reducing opioid dependency. Local anesthetics demonstrated varying degrees of efficacy, while other alternatives like ketamine and NSAIDs successfully reduced postoperative pain and opioid requirements. The bias assessment of the RCTs revealed “low” and “some concerns” ratings, indicating a need for more detailed methodology reporting and management of missing data. The cohort studies generally attained “moderate” risks of bias, primarily due to confounding variables and outcome data reporting. Conclusions: Nonopioid analgesics show potential in postoperative pain management for abdominoplasties, but further research is needed to confirm their effectiveness and optimize patient care.
The Influence of Personality Traits on Stock Investment Retention: Insights from Thai Investors
Authors: Treerotchananon Alicha , Changchit Chuleeporn , Cutshall Robert , Lonkani Ravi , Prasertsoontorn Thanu
Published: October 2024

Understanding the psychological factors that influence investment decisions is crucial for predicting stock investment retention. This study investigates the mediating role of the Big Five personality traits in stock investment retention, utilizing a modified version of the theory of planned behavior. By examining the influence of investors’ perceived risk and attitudes toward stock investment, data collected via an online survey with The Association of Thai Securities Companies (ASCO) were analyzed using Structural Equation Modeling (SEM). The findings reveal that extraversion, openness, and conscientiousness significantly impact attitudes toward stock investing, which in turn affects investment retention. However, personality traits do not directly influence risk perception. This research provides unique empirical evidence of the independence between the Big Five personality traits and risk perception among Thai stock investors, underscoring the importance of personality in shaping investment behavior through its effect on attitudes.
Enhancing Online Security: A Novel Machine Learning Framework for Robust Detection of Known and Unknown Malicious URLs
Authors: Li Shiyun , Dib Omar
Published: October 2024

The rapid expansion of the internet has led to a corresponding surge in malicious online activities, posing significant threats to users and organizations. Cybercriminals exploit malicious uniform resource locators (URLs) to disseminate harmful content, execute phishing schemes, and orchestrate various cyber attacks. As these threats evolve, detecting malicious URLs (MURLs) has become crucial for safeguarding internet users and ensuring a secure online environment. In response to this urgent need, we propose a novel machine learning-driven framework designed to identify known and unknown MURLs effectively. Our approach leverages a comprehensive dataset encompassing various labels—including benign, phishing, defacement, and malware—to engineer a robust set of features validated through extensive statistical analyses. The resulting malicious URL detection system (MUDS) combines supervised machine learning techniques, tree-based algorithms, and advanced data preprocessing, achieving a high detection accuracy of 96.83% for known MURLs. For unknown MURLs, the proposed framework utilizes CL_K-means, a modified k-means clustering algorithm, alongside two additional biased classifiers, achieving 92.54% accuracy on simulated zero-day datasets. With an average processing time of under 14 milliseconds per instance, MUDS is optimized for real-time integration into network endpoint systems. These outcomes highlight the efficacy and efficiency of the proposed MUDS in fortifying online security by identifying and mitigating MURLs, thereby reinforcing the digital landscape against cyber threats.
Cultural, Economic, or Transport Link: Does Carbon Emissions Trading Promote “Good Neighbor” Carbon Emission Reduction?
Authors: Zhuo Chong , Liu Yaobin , Dai Ling , Deng Yuyang
Published: October 2024

Carbon emission reduction was a crucial objective for China’s green transformation, yet establishing regional cooperation with neighboring areas posed a significant challenge in carbon governance. We investigated the spillover effects of carbon emissions trading (CET) on carbon emissions among Chinese cities, employing spatial difference-in-differences (DID), Callaway and Sant’Anna DID (CSDID), and other methodologies. Our paper integrated datasets on high-speed rails, dialects, and carbon emissions at the prefecture-level city scale. The findings revealed that (1) CET reduces emissions by 11.55% in pilot regions, although the impact of the second policy pilot was not significant. (2) In terms of spillover effects, CET increased emissions in neighboring cities with economic and geographic ties, creating a “beggar-thy-neighbor” reduction model. Conversely, it reduced emissions in cities with shared cultural ties, fostering a “good neighbor” reduction model. (3) The policy spillover effect exhibited an “inverted N” curve, first decreasing, then increasing, and finally decreasing as economic and geographic distance increased. (4) Technological advancement was identified as the primary mechanism driving the spillover effects of CET. To achieve the dual-carbon goal, avoiding harmful economic competition and promoting low-carbon cultural exchanges were essential.
Planning Public Space Climate Comfortability: A GIS-Based Algorithm for the Compact Cities of the Far North
Authors: Korobeinikova Anna , Danilina Nina , Teplova Irina
Published: October 2024

The issue of forming a comfortable environment in cities with complex climatic conditions has always been an urgent and difficult issue for urban planners. Cities located in the territories of the Far North are characterized by extremely harsh climatic characteristics that affect the planning solutions for the public spaces of the city. Low temperatures and strong winds reduce the time of comfortable stay in the open air, which leads to a decrease in the mobility of the population in the city and stimulates the use of personal cars. The research question is the rational placement of points of interest on the street network to ensure a comfortable travel time between objects. The research methodology of public space planning taking into account the climatic comfortability of Far North cities is proposed in this article. Also, an automated GIS-based algorithm for determining intermediate points on linear objects to increase POIs’ connectivity for the development of the public space of Far North cities under the condition of organizing climatic comfort is proposed. Development of safe and comfortable public space on the basis of network accessibility, taking into account the difficult climatic conditions of these cities, will increase the social activity of the population and tourists, as well as promote economic growth and business development in the city.
Dynamic Changes in and Driving Factors of Soil Organic Carbon in China from 2001 to 2020
Authors: Zou Fuyan , Yan Min , Zhang Liankai , Yang Jinjiang , Chen Guiren , Shan Keqiang , Zhang Chen , Xu Xiongwei , Wang Zhenhui , Xu Can
Published: October 2024

It remains unclear what changes have occurred in the distribution pattern of and trend in soil organic carbon (SOC) in China against the background of climate and land use change. Clarifying the dynamic changes in SOC and their driving factors in different regions of China is therefore crucial for assessing the global carbon cycle. In this study, we collected and supplemented a large amount of soil organic carbon density (SOCD) data in China from 2001 to 2020 and extracted data on environmental covariates (ECs) for the corresponding years. A random forest model was used to estimate the SOCD at a depth of 0–20 cm and 0–100 cm in China for the years 2001, 2005, 2010, 2015, and 2020, and we explored the trend of SOCD changes and their key driving factors. The results showed the following: (1) Compared with previous studies, the predictive ability of the 0–100 cm depth model was greatly improved; the coefficient of determination (R2) was 0.61 and Lin’s concordance correlation coefficient (LCCC) was =0.76. (2) From 2001 to 2020, China’s soil organic carbon stocks (SOCS) were 38.11, 39.11, 39.88, 40.16, and 41.12 Pg C for the 0–20 cm depth and 110.49, 112.67, 112.80, 113.06, and 114.96 Pg C for the 0–100 cm depth, respectively. (3) The effects of temperature and precipitation on SOCD in China showed obvious regional variability, and land use changes had mainly positive effects on SOCD in all regions of China, which was related to the large-scale implementation of ecological protection and restoration and the policy of returning farmland to forests and grasslands in China. This study provides strong scientific support for addressing climate change and rationalizing the use of land resources.
Coupling Coordination Relationships Between Ecosystems and Economic Development in Qinghai and Tibet
Authors: Wang Jie , Wu Shaohong , Liu Lulu , Yan Rui , Zhou Shuang
Published: October 2024

The coordinated development of ecological protection and socioeconomics in the Tibetan Plateau is of great significance. This study examines the coupling coordination of urban ecosystems and economic development across 15 municipal administrative units in Qinghai Province and the Tibet Autonomous Region, the core areas of the Tibetan Plateau. The findings reveal that a larger proportion of the Qinghai and Tibet ecosystems are classified above the medium vulnerability level, primarily due to inherent natural geographic conditions. Additionally, the area of the two provinces and regions below the medium development level is larger, which is mainly influenced by indicators of economic strength and industrial structure. The degree of coupling coordination between the ecosystem and economic system in Qinghai and Tibet is predominantly driven by economic factors. Given the existing natural environmental conditions, the eastern regions of Qinghai and Tibet still possess certain development potential, while the economic development in the western areas is somewhat constrained by the natural environment. Based on this, further policy recommendations have been proposed to adjust and upgrade the industrial structure, aligning ecological protection with economic development in the Qinghai–Tibet Plateau. These recommendations aim to facilitate the formulation of strategies and policies for sustainable urban construction and social development in such high-ecological-value regions as the Tibetan Plateau.
Methodological Approaches to Online Serbian Heritage Language Instruction
Authors: Krstić Ana , Stanković Branimir
Published: October 2024

In this paper, we propose adequate methodological approaches for Serbian as a heritage language based on the critical analysis of the existing Serbian Ministry of Education’s Curriculum for Serbian as a foreign language. This curriculum is recommended for use in Serbian heritage language education; however, it has been shown to be insufficiently effective in the classroom. The methods in question should benefit heritage speakers the most, such as communication-based methods and form-focused instruction, which enhance metalinguistic awareness. Additionally, we suggest an integrative model of teaching as we believe that cross-cultural approaches positively impact both types of students.
Improving Classroom Teaching and Learning of Multi-Word Expressions for Conversational Use Through Action Research with Learner Feedback
Authors: Thomson Haidee
Published: October 2024

Multi-word expressions make up a large proportion of the English language and particularly spoken language. Using multi-word expressions can assist with the impression of fluency, making them useful for language learners to know and use. However, proven methods for teaching this language phenomenon are required, so that learners can easily use multi-word expressions in their conversations. The purpose of the study was to examine the efficacy of a fluency workshop focused on multi-word expression use in conversation and to determine the most appropriate implementation for the Japanese context. An action research structure was used over three iterations of the fluency workshop, learner feedback and teacher observations were used to make improvements. Learner feedback regarding the usefulness of each activity for learning English was compared between the original cohort and subsequent cohorts. The results showed significant differences in levels of perceived usefulness for activities where improvements were made, but also for some activities where no specific improvement was made, suggesting that teaching improves through practice. Pedagogical implications include maximising the time on task via clear instructions, providing visual time constraints, and offering scaffolding to support the use of multi-word expressions when recall seems beyond a learner.
Gastrocnemius Neuromuscular Activation During Standing Explosive Acceleration
Authors: Ferri-Caruana Ana , Sendra-Pérez Carlos , Priego-Quesada Jose Ignacio
Published: October 2024

The gastrocnemius muscle plays a crucial role in transmitting and generating energy during standing explosive accelerations, and as a consequence, is a muscle with high injury prevalence, especially the medial gastrocnemius (MG). This study aimed to compare the neuromuscular activation of the lateral gastrocnemius (LG) and MG during one of the most common standing explosive accelerations performed in team sports—the false start that occurs in jumps where the leg steps back before moving forward. Forty-two physically active participants (34 males: age = 24 ± 5 years, body mass = 73 ± 10.4 kg; and 8 females: age = 26 ± 5 years, body mass = 57.1 ± 6.8 kg) underwent electromyography analysis of the MG and LG in the four first foot contacts of standing explosive acceleration. The results showed that the third contact differed significantly from others (LG vs. MG: 76.48 ± 3.10 vs. 66.91 ± 2.25, p = 0.01, ES = 0.5), with the LG exhibiting earlier activation and higher peak sEMG activity compared to the MG (LG vs. MG: 0.12 ± 0.01 vs. 0.13 ± 0.01, p = 0.02, ES = 0.4). Additionally, the MG displayed longer duration contractions in all the foot contacts except the third foot contact. In conclusion, the MG showed an earlier activation timing and a longer duration of contraction than the LG in the first foot contact. Additionally, the third foot contact showed a different pattern of neuromuscular activation between the MG and LG compared to the rest of the foot contacts.
A Multicenter Retrospective Study Evaluating Distal Radial Access vs. Conventional Transradial or Transvenous Access for Endovascular Treatment of Malfunctioning Dialysis Fistulas
Authors: Minici Roberto , Venturini Massimo , Guzzardi Giuseppe , Fontana Federico , Coppola Andrea , Piacentino Filippo , Spinetta Marco , Costa Davide , Brunese Maria Chiara , Guerriero Pasquale , Apollonio Biagio , Team MGJR Research , Rosi Nicola De , Serra Raffaele , Laganà Domenico
Published: October 2024

Background: This study aims to evaluate the feasibility, efficacy, and safety of distal transradial access (dRA) for the endovascular management of malfunctioning dialysis fistulas. This study also compares dRA with conventional access techniques, such as proximal radial and transvenous access, focusing on technical success, clinical outcomes, and vascular access site complications (VASCs). Methods: A retrospective multicenter study was conducted across four hospitals, including 292 patients treated between January 2019 and June 2024. Of these, 57 patients underwent dRA, and 235 received proximal radial or transvenous access. Key outcomes included technical success (successful completion of the procedure), clinical success (restoration of functional dialysis access), and complication rates. Data were collected on procedure times and complication profiles. Results: Technical success was achieved in 96.5% of patients undergoing dRA, compared to 98.3% in those receiving conventional access (p = 0.388). Clinical success was similar between groups (96.5% vs. 97%, p = 0.835). The overall complication rate was 10.5% for dRA and 8.5% for conventional access (p = 0.632). Cannulation time was longer for dRA (109.1 vs. 91.9 s, p < 0.001), but total procedure duration was comparable between the groups. No major complications were observed in either cohort, and improved post-procedure access flow rates were recorded in all patients. Conclusions: Distal transradial access is a feasible and effective approach for the endovascular management of malfunctioning dialysis fistulas, with outcomes comparable to conventional access techniques. It provides a safe alternative, particularly for patients with complex fistulas, while maintaining a low complication profile.
Immediate Diagnosis of Breast Carcinoma on Core Needle Biopsy Using Ex Vivo Fluorescence Confocal Microscopy: Feasibility in a One-Stop Breast Clinic Workflow
Authors: Mathieu Marie-Christine , Suciu Voichita , Tanguy Marie-Laure , Ben Romdhane Neila Ines , Moalla Salma , Harguem-Zayani Sana , Barbe Remy , Balleyguier Corinne , Conversano Angelica , Abbaci Muriel
Published: October 2024

Background: In the one-stop breast clinic setting, breast cytology traditionally provides immediate diagnosis of carcinoma. Fluorescence confocal microscopy (FCM) is an emerging optical technique enabling ex vivo analysis of breast biopsies in real-time. This study represents the first proof of concept for integrating FCM imaging into the routine workflow of breast core needle biopsies (CNB) at Gustave Roussy’s one-stop breast clinic. Methods: Fifty women with breast masses underwent consecutive enrollment. Biopsies were stained with acridine orange and fast green, followed by imaging using the Vivascope 2500M-G4 (FCM). Interpretation was conducted by two pathologists in real time (PT1) or postoperatively (PT2). Concordance with definitive histology, the duration of the FCM protocol, and its impact on conventional histopathology, immunohistochemistry, and FISH analyses were evaluated. Results: In our study of 50 biopsies, a concordant diagnosis of malignancy was performed using FCM on the malignant cases at definitive histology in 93.5% (29/31 cases) and in 90.3% (28/31 cases) according to PT1 and PT2, respectively. When the FCM suspicious cases were added, FCM identified 100% (31/31 cases) and 96.7% (30/31 cases) of the malignant cases according to PT1 and PT2, respectively. A notable false positive case was identified as a complex sclerosing lesion. The median time for sample preparation (including tissue reception) was 5 min, while the median time for imaging acquisition with interpretation was 3 min for PT1, but 1 min required for interpretation alone by PT2. Histopathological alterations were not more prevalent in FCM-imaged biopsies compared to conventionally treated biopsies. The immunophenotyping and molecular assessment of tissue were preserved after FCM protocol. Conclusions: FCM shows promise as a new histological method for the immediate diagnosis of breast carcinoma on core needle biopsies in a one-stop clinic setting, while also preserving tissue specimens for final histology.
Serum Malondialdehyde-Modified Low-Density Lipoprotein Level May Be a Biomarker Associated with Aortic Stiffness Among Patients Undergoing Peritoneal Dialysis
Authors: Chang Yu-Chi , Wang Chih-Hsien , Tang Chi-Chong , Lin Yu-Li , Lai Yu-Hsien , Kuo Chiu-Huang , Hsu Bang-Gee
Published: October 2024

Background: Serum malondialdehyde-oxidized low-density lipoprotein (MDA-oxLDL) is associated with atherosclerosis and increased risk of cardiovascular disease (CVD). Vascular calcification frequently occurs with arterial stiffness in patients on peritoneal dialysis (PD). This cross-sectional study aimed to elucidate the correlation between aortic stiffness and MDA-oxLDL levels in patients on PD. Methods: Overall, 92 patients on PD were included. The carotid–femoral pulse wave velocity (cfPWV) was evaluated using cuff-based volumetric displacement, and blood samples were obtained from all patients. Aortic stiffness was classified based on cfPWV values (>10 m/s indicating aortic stiffness). Serum MDA-ox-LDL levels were quantified using commercial enzyme-linked immunosorbent assay kits. Results: In total, 33 (35.9%) patients were classified into the aortic stiffness group. Factors, including systolic blood pressure (SBP), serum triglyceride levels, C-reactive protein levels, age, weight, body mass index (BMI), waist circumference, MDA-oxLDL levels, and diabetes mellitus (DM) prevalence, were significantly higher in the aortic stiffness group. Multivariable logistic regression analysis revealed significant associations between aortic stiffness and MDA-oxLDL levels, BMI, and SBP. Furthermore, multivariable forward stepwise linear regression analysis revealed serum MDA-oxLDL levels as a significant independent predictor of cfPWV values. Conclusions: Serum MDA-oxLDL levels correlate positively with cfPWV values and may predict aortic stiffness among PD patients, highlighting its potential role in assessing CVD risk in this population.
Novel Approaches for the Early Detection of Glaucoma Using Artificial Intelligence
Authors: Zeppieri Marco , Gardini Lorenzo , Culiersi Carola , Fontana Luigi , Musa Mutali , D’Esposito Fabiana , Surico Pier Luigi , Gagliano Caterina , Sorrentino Francesco Saverio
Published: October 2024

Background: If left untreated, glaucoma—the second most common cause of blindness worldwide—causes irreversible visual loss due to a gradual neurodegeneration of the retinal ganglion cells. Conventional techniques for identifying glaucoma, like optical coherence tomography (OCT) and visual field exams, are frequently laborious and dependent on subjective interpretation. Through the fast and accurate analysis of massive amounts of imaging data, artificial intelligence (AI), in particular machine learning (ML) and deep learning (DL), has emerged as a promising method to improve the early detection and management of glaucoma. Aims: The purpose of this study is to examine the current uses of AI in the early diagnosis, treatment, and detection of glaucoma while highlighting the advantages and drawbacks of different AI models and algorithms. In addition, it aims to determine how AI technologies might transform glaucoma treatment and suggest future lines of inquiry for this area of study. Methods: A thorough search of databases, including Web of Science, PubMed, and Scopus, was carried out to find pertinent papers released until August 2024. The inclusion criteria were limited to research published in English in peer-reviewed publications that used AI, ML, or DL to diagnose or treat glaucoma in human subjects. Articles were chosen and vetted according to their quality, contribution to the field, and relevancy. Results: Convolutional neural networks (CNNs) and other deep learning algorithms are among the AI models included in this paper that have been shown to have excellent sensitivity and specificity in identifying glaucomatous alterations in fundus photos, OCT scans, and visual field tests. By automating standard screening procedures, these models have demonstrated promise in distinguishing between glaucomatous and healthy eyes, forecasting the course of the disease, and possibly lessening the workload of physicians. Nonetheless, several significant obstacles remain, such as the requirement for various training datasets, outside validation, decision-making transparency, and handling moral and legal issues. Conclusions: Artificial intelligence (AI) holds great promise for improving the diagnosis and treatment of glaucoma by facilitating prompt and precise interpretation of imaging data and assisting in clinical decision making. To guarantee wider accessibility and better patient results, future research should create strong generalizable AI models validated in various populations, address ethical and legal matters, and incorporate AI into clinical practice.
Hyper CLS-Data-Based Robotic Interface and Its Application to Intelligent Peg-in-Hole Task Robot Incorporating a CNN Model for Defect Detection
Authors: Nagata Fusaomi , Abe Ryoma , Sakata Shingo , Watanabe Keigo , Habib Maki K.
Published: October 2024

Various types of numerical control (NC) machine tools can be standardly operated and controlled based on NC data that can be easily generated using widespread CAD/CAM systems. On the other hand, the operation environments of industrial robots still depend on conventional teaching and playback systems provided by the makers, so it seems that they have not been standardized and unified like NC machine tools yet. Additionally, robotic functional extensions, e.g., the easy implementation of a machine learning model, such as a convolutional neural network (CNN), a visual feedback controller, cooperative control for multiple robots, and so on, has not been sufficiently realized yet. In this paper, a hyper cutter location source (HCLS)-data-based robotic interface is proposed to cope with the issues. Due to the HCLS-data-based robot interface, the robotic control sequence can be visually and unifiedly described as NC codes. In addition, a VGG19-based CNN model for defect detection, whose classification accuracy is over 99% and average time for forward calculation is 70 ms, can be systematically incorporated into a robotic control application that handles multiple robots. The effectiveness and validity of the proposed system are demonstrated through a cooperative pick and place task using three small-sized industrial robot MG400s and a peg-in-hole task while checking undesirable defects in workpieces with a CNN model without using any programmable logic controller (PLC). The specifications of the PC used for the experiments are CPU: Intel(R) Core(TM) i9-10850K CPU 3.60 GHz, GPU: NVIDIA GeForce RTX 3090, Main memory: 64 GB.
Leveraging Multi-Modality and Enhanced Temporal Networks for Robust Violence Detection
Authors: Na Gwangho , Ko Jaepil , Cheoi Kyungjoo
Published: October 2024

In this paper, we present a novel model that enhances performance by extending the dual-modality TEVAD model—originally leveraging visual and textual information—into a multi-modal framework that integrates visual, audio, and textual data. Additionally, we refine the multi-scale temporal network (MTN) to improve feature extraction across multiple temporal scales between video snippets. Using the XD-Violence dataset, which includes audio data for violence detection, we conduct experiments to evaluate various feature fusion methods. The proposed model achieves an average precision (AP) of 83.9%, surpassing the performance of single-modality approaches (visual: 73.9%, audio: 67.1%, textual: 29.9%) and dual-modality approaches (visual + audio: 78.8%, visual + textual: 78.5%). These findings demonstrate that the proposed model outperforms models based on the original MTN and reaffirm the efficacy of multi-modal approaches in enhancing violence detection compared to single- or dual-modality methods.
On the Incomplete Edouard and Incomplete Edouard–Lucas Numbers
Authors: Spreafico Elen Viviani Pereira , Costa Eudes Antonio , Catarino Paula
Published: October 2024

This study introduces two new sequences: the incomplete Edouard and the incomplete Edouard–Lucas numbers. In addition, we establish some of the properties, identities, and recurrence relations of these sequences. The relations of these new sequences with balancing, Lucas-balancing, incomplete balancing, and incomplete Lucas-balancing numbers are explored, and some new identities are provided. Moreover, the functions for generating the incomplete Edouard and incomplete Edouard–Lucas numbers are stated.
Anti-SRP Antibodies and Myocarditis in Systemic Sclerosis Overlap Syndrome with Immune-Mediated Necrotizing Myositis (IMNM)
Authors: Alexandru Cristina , Donisa Anca , Bobirca Florin , Dascalu Ana Maria , Dumitrescu Dan , Ancuta Ioan , Bojinca Mihai , Balahura Ana Maria , Manea Carmen , Belaconi Ionela , Anghel Daniela , Dumitrașcu Catalin , Alius Catalin , Costea Andreea Cristina , Marin Andrei , Serban Dragos , Bobircă Anca
Published: October 2024

Overlap syndrome of systemic sclerosis and idiopathic inflammatory myopathies is an increasingly frequent entity, but the association with immune-mediated necrotizing myositis has rarely been described. While myositis or myopathy may be features of scleroderma, it is imperative to correctly diagnose an overlap syndrome of these two, since it can be considered a different entity with specific management and a worse prognosis. Anti-signal recognition particle (anti-SRP) antibodies target the striated muscle fiber and inhibit myoblast regeneration, resulting in myofiber atrophy and necrosis. Anti-SRP antibodies are specific in immune-mediated necrotizing myopathy characterized by myonecrosis and minimal inflammatory reaction, with proximal muscle weakness and typical extra-muscular manifestation. There are controversial data on the association of cardiac manifestations and the presence of these antibodies, and recent studies cannot prove a significant correlation between the two. Myocarditis is a complication with an unpredictable, potentially severe outcome from heart failure and dilated cardiomyopathy to fatality. It can be difficult to diagnose, and a myocardial biopsy can be problematic in daily practice; thus, most practitioners rely on cardiac magnetic resonance with suggestive images for the correct diagnosis. This paper seeks to address the challenges associated with the diagnosis and treatment of collagen diseases by evaluating the role of anti-SRP antibodies in the pathogenesis of cardiac involvement.
Influence of Diabetes Mellitus on Postoperative Complications After Total Knee Arthroplasty: A Systematic Review and Meta-Analysis
Authors: Hong Seok Ho , Kwon Seung Cheol , Lee Jong Hwa , Moon Shinje , Kim Joong Il
Published: October 2024

Background and Objectives: Total knee arthroplasty (TKA) is an effective treatment option for severe knee osteoarthritis. Understanding the impact of diabetes mellitus (DM) on postoperative outcomes is crucial for improving patient satisfaction after TKA. This study aimed to investigate the influence of DM on postoperative complications and mortality after TKA. Materials and Methods: We conducted a systematic review and meta-analysis by searching relevant studies published before December 2023 in the PubMed, EMBASE, Cochrane Library, Medline, and Web of Science databases. The assessment included demographic data, comorbidities, and postoperative complications after primary TKA for both DM and non-DM patients. The odds ratio (OR) was used to represent the estimate of risk of a specific outcome. Results: Thirty-nine studies were finally included in this meta-analysis. Patients with DM had higher rates of periprosthetic joint infection (OR: 1.71, 95% confidence interval [CI]: 1.46–2.00, p < 0.01) and prosthesis revision (OR: 1.37, 95% CI: 1.23–1.52, p < 0.01). Moreover, patients with DM showed an elevated incidence of pneumonia (OR: 1.54, 95% CI: 1.15–2.07, p < 0.01), urinary tract infection (OR: 1.86, 95% CI: 1.07–3.26, p = 0.02), and sepsis (OR: 1.61, 95% CI: 1.46–1.78, p < 0.01). Additionally, the postoperative risk of cardiovascular (OR: 2.49, 95% CI: 1.50–4.17, p < 0.01) and cerebrovascular (OR: 2.38, 95% CI: 1.48–3.81, p < 0.01) events was notably higher in patients with DM. The presence of DM increased the risk of deep vein thrombosis (OR: 1.58, 95% CI: 1.22–2.04, p < 0.01), but did not lead to an increased risk of pulmonary embolism. Most importantly, DM was associated with a higher mortality rate within 30 days after TKA (OR: 1.27, 95% CI: 1.02–1.60, p = 0.03). Conclusions: Patients with DM exhibited a higher rate of postoperative complications after TKA, and DM was associated with a higher mortality rate within 30 days after TKA. It is crucial to educate patients about the perioperative risk and develop evidence-based guidelines to prevent complications after TKA.
Bleeding and Thrombotic Events in Hemodialysis Patients with Atrial Fibrillation on Anticoagulation and Antiplatelet Therapy: A 24-Month Cohort Study
Authors: Dimitrijevic Zorica M. , Mitic Branka P. , Tasic Danijela D. , Vrecic Tamara , Paunovic Karolina , Salinger Sonja
Published: October 2024

Background and Objectives: Patients undergoing chronic hemodialysis (HD) are predisposed to both thrombotic and bleeding complications due to the complex interplay of end-stage renal disease (ESRD), cardiovascular comorbidities, and the routine use of anticoagulant and antiplatelet therapies. This study aimed to investigate the incidence of bleeding and thrombotic events in chronic HD patients receiving anticoagulant and antiplatelet therapy, with a specific focus on those with atrial fibrillation (AF). Materials and Methods: A total of 224 patients, with 43 (19%) of them diagnosed with AF, were included in this single-center, observational cohort study conducted over 24 months. The cohort was divided into three groups: patients without anticoagulation, those on warfarin monotherapy, and those on combined warfarin and aspirin therapy. Bleeding events were classified as major, clinically relevant non-major bleeding (CRNMB), or minor bleeding, while thrombotic events included ischemic stroke, myocardial infarction, pulmonary embolism, and arteriovenous fistula thrombosis. Results: Overall, 35.7% of patients experienced a bleeding event, with major bleeding occurring in 9.4%. Patients with AF had significantly higher rates of major bleeding (18.6%) compared to those without AF (7.18%; p = 0.043), especially in the combined therapy group. Mortality due to bleeding was also higher in AF patients (14%). In contrast, thrombotic events occurred in 26.8% of patients, with AF patients experiencing significantly more events (48.8%) compared to non-AF patients (21.5%; p = 0.0006). The hazard ratio (HR) for major bleeding in patients on combined warfarin and aspirin therapy was 2.56 (p = 0.016), while the HR for thrombotic events was 2.34 (p = 0.0202). Conclusions: These findings highlight the increased risks of both bleeding and thrombosis in chronic HD patients with AF, particularly those on combined anticoagulation and antiplatelet therapy.