bluuebunny/crossref_metadata_2025 huggingface dataset:
Core Patient-Centered Outcomes for Adolescents and Young Adults with Cancer: A Comprehensive Review of the Literature from the STRONG-AYA Project
Authors: Janssen Silvie H. M. , van der Graaf Winette T. A. , Hurley-Wallace Anna , Vlooswijk Carla , Padilla Catarina S. , Cairns Charlotte , Tyler Connor J. , Holthuis Emily I. , Rohde Gudrun E. , Hunt Katherine J. , Way Kirsty , Angoumis Konstantinos , Lankhorst Lina H. , Engel Maarten F. M. , Rothmund Maria-Sophie , Reuvers Milou J. P. , Collaço Nicole , Wagland Richard , Sodergren Samantha C. , Hanebaum Simone , Legendal Thom , Cartledge Thomas J. , Bootsma Tom I. , Bai Yushi , Darlington Anne-Sophie , Husson Olga
Published: January 2025

Background: In adolescents and young adults (AYAs) with cancer, the importance of patient-centered research outcomes is increasingly acknowledged and there is a need for consensus on the most relevant outcomes. This review provides a comprehensive overview of outcomes relevant to AYAs with cancer in order to develop an AYA-specific core outcome set (COS) as part of the European project STRONG-AYA. Methods: A literature search was conducted to identify relevant articles in five databases. Each article was reviewed by two independent researchers, using Rayyan (an online tool) to screen articles by their title/abstract and then by their full text. Subsequently, the data were extracted using a predefined, tailored extraction framework. Results: In total, 17,301 articles were screened, of which 1631 were included in the analyses. Registry studies (52.9%) were the most used study type. Well-represented continents were North America (50.3%) and Europe (27.8%). Of the five core areas, functioning (47.0%) and epidemiology (44.9%) were covered most often, followed by physiological/clinical (42.4%), resource use (6.1%), and adverse events (4.5%). The outcome domains that were represented the most include mortality/survival (43.1%), delivery of care (23.4%), outcomes relating to neoplasms (22.7%), and emotional functioning/well-being (19.2%). Conclusions: This literature review provides a foundation for the development of an AYA-specific COS for improving the relevance and efficiency of measuring outcomes, the pooling of (international) research data, and the value of care for current and future AYAs with cancer. Finalization and refinement of the COS should be a priority for future research.
Australian Clinicians’ Capabilities, Opportunities, and Motivations in Implementing Exposure and Response Prevention for Youth with Obsessive-Compulsive Disorder: An Exploratory Study
Authors: Racz Jason I. , Perkes Iain E. , Bialocerkowski Andrea , Dyason Katelyn M. , Grisham Jessica R. , McKenzie Matthew L. , Farrell Lara J.
Published: January 2025

Objectives: Informed by implementation science, this exploratory study examined the capabilities, opportunities, and motivations of Australian mental health clinicians (N = 38) associated with the implementation of exposure and response prevention (ERP) for youth (i.e., children and adolescents) with obsessive-compulsive disorder (OCD). It also explored how the capabilities and motivations of mental health clinicians untrained in ERP for youth (i.e., typical clinicians; n = 25) differed from clinicians experienced in the use of ERP for youth (i.e., experienced clinicians; n = 13). Methods: Questionnaires were administered to the entire sample alongside observational role-plays, which assessed observed adherence and competence delivering ERP against published best-practice standards among available participants. Results: In the whole sample, the reported time dedicated to implementing ERP was associated with a range of factors relating to capabilities, opportunities, and motivations to implement ERP. Experienced clinicians had greater knowledge, adherence, competence, and self-reported confidence using ERP and fewer negative beliefs about ERP relative to typical clinicians. They also intended to dedicate greater time to implementing within-session ERP for youth and reported greater within- and between-session time spent doing so compared to typical clinicians. The time intended to dedicate to implementing between-sessions ERP did not significantly differ between the clinician groups. Conclusions: In summary, compared to typical clinicians, experienced clinicians appeared to possess greater levels of capabilities and motivations to implement ERP for youth with OCD. Future research examining barriers and facilitators of ERP implementation in community settings and identifying effective strategies to improve it would benefit service provision and, ultimately, outcomes for youth.
Upcycling Spent Selective-Catalytic-Reduction Catalyst to Produce Titanium Carbide Through Molten-Salt Electrolysis
Authors: Cao Weigang , Zhu Qi , Zheng Long , Jin Jiahao , Li Xiangpeng , Xu Yanan
Published: January 2025

The molten-salt electrolytic method was employed to recycle spent SCR catalyst to prepare TiC compound. A systematic investigation has been carried out through thermodynamic calculation and experimental analysis. The effects of graphite content, cell voltage, electrolyzing temperature, and electrolyzing time on electrolytic products were explored. The results show that a suitable amount of graphite content, high cell voltage, and a high electrolyzing temperature are beneficial to promote the formation of TiC compounds. It has also been found that the electroreduction of spent SCR catalyst/graphite can completely transform it into TiC compound in a relatively short time. The final electrolytic product is confirmed to be a solid solution of (Ti, W, Si, V)C. Meanwhile, the electrolytic process and reaction mechanism were investigated through the analysis of intermediates and the thermodynamic calculation. The electrolytic product has a potential application as reinforcement in metal matrix, which is a high additional-value utilization for spent SCR catalysts.
Mutual Cooperation System for Task Execution Between Ground Robots and Drones Using Behavior Tree-Based Action Planning and Dynamic Occupancy Grid Mapping
Authors: Kobori Hiroaki , Sekiyama Kosuke
Published: January 2025

This study presents a cooperative system where drones and ground robots share information to efficiently complete tasks in environments that challenge the capabilities of a single robot. Drones focus on exploring high-interest areas for ground robots, generating occupancy grid maps and identifying high-risk routes. Ground robots use this information to evaluate and adapt routes as needed. Flexible action planning through behavior trees enables the robots to respond dynamically to environmental changes, facilitating spontaneous and adaptable cooperation. Experiments with real robots confirmed the system’s performance and adaptability to various settings. Specifically, when high-risk areas were identified from drone provided information, ground robots generated alternative routes to bypass these zones, demonstrating the system’s capacity to navigate complex paths while minimizing risks. This establishes a basis for scaling to larger environments. The proposed system is expected to improve the safety and efficiency of robot operations by enabling multiple robots to accomplish complex tasks collaboratively-tasks that would be difficult or time consuming for an individual robot. The findings demonstrate the potential for multi-robot cooperation to enhance task execution in challenging environments and provide a framework for future research on effective role sharing and information exchange in autonomous systems.
Does Corporate Policy Risk Affect Stock Liquidity? Panel Data Evidence from Listed Companies in a Major Emerging Market
Authors: Sahu Asis Kumar , Debata Byomakesh , Gherghina Ştefan Cristian
Published: January 2025

This study examines the impact of firms’ overall corporate policy risk on stock liquidity. This study constructs a novel overall corporate policies risk index (PRI) for firms by capturing risk embedded in managers’ different policy decisions, such as investment, financing, diversification, and cash management, by weighting each policy risk through the regression decomposition method. Using a large sample of 466 India-listed firms from the financial year 2003–2004 to 2022–2023, this study finds that there is a negative association between PRI and stock liquidity. The study further explores the information environment heterogeneity and finds that the adverse impact of a PRI is a more prominent firm that is hard to value or in a less transparent environment as compared to the transparent firms. Moreover, the adverse impact of PRI on stock liquidity is significantly more pronounced during financial crises, while its effect is less substantial during non-crisis periods. The robustness of these results is confirmed even after addressing endogeneity issues using various techniques, such as propensity score matching (PSM), two-stage least squares instrumental variable approach (2 SLS IV), and the system-generalized method of moments (System GMM).
Automatic Generation Strategy for Standard Cell Layout in DTCO Process Based on Reinforcement Learning
Authors: Huang Wenli , Li Bin , Huang Songting , Lei Zonghan , Liu Wenchao , Wu Zhaohui , Qin Chaozheng
Published: January 2025

DTCO (Design–Technology Co-optimization) facilitates communication between the design and process flows, thereby expediting the cycle of the chip development pipeline. Within the DTCO framework, the development of a standard cell library, which entails the rapid generation of standard cell layouts, constitutes a crucial aspect in enhancing the efficiency of digital integrated circuit development. In light of the issue of the substantial time consumption associated with manual layout design prevalent in the industry, a novel method for the automatic generation of standard cell layouts, leveraging reinforcement learning for placement and the Dijkstra algorithm for routing, is proposed. Compared with traditional automatic layout algorithms, the proposed methodology exhibits enhanced adaptability. When accounting for the influence of technological node variations on design alterations, the device information and key design rule parameters are configured as adjustable variables to accommodate the migration across different processes. It is demonstrated that the proposed method can accelerate the DTCO cycle and enable the migration of the standard cell layout from the 55 nm process to the 28 nm process of a specific foundry. It is anticipated that this approach can offer novel perspectives for the advancement of EDA tools dedicated to the automatic generation of standard cell layouts.
Accessible and Inexpensive Parameter Testing Platform for Adhesive Removal in Mechanical Exfoliation Procedures
Authors: Gasbarro Anthony , Masuda Yong-Sung D. , Ordonez Richard C. , Weldon Jeffrey A. , Lubecke Victor M.
Published: January 2025

Mechanical exfoliation of two-dimensional (2D) materials using adhesive tape is a widely used method for producing high-quality single-layer graphene flakes. However, this technique is time-consuming, with low yields and inconsistent results due to process variations and human error. This paper introduces a modular system designed to rigorously test and optimize the conditions for 2D material deposition, with a focus on graphene. The system is adaptable to a range of inexpensive, commercially available linear stages and stepper motors, providing precise, independent control over key parameters such as peel speed and angle—both of which are critical in deposition yields. Tests confirmed the system’s accuracy within ±0.7% relative speed error across a range of speeds (1 μm/s to 5000 μm/s) and peel angle control from 0∘ to 120∘. Additionally, the system automates control of the key factors at the most demanding step of the exfoliation process while being affordable and easily assembled, making it accessible for laboratories and educational institutions to explore the optimal conditions for scaling 2D material production. This system offers the capability to gain critical insights into the exfoliation process, driving improved yields and scalability, which are essential for fabricating highly specialized devices that rely on 2D materials.
Impact of Microplastics on Growth and Lipid Accumulation in Scenedesmus quadricauda
Authors: Wang Yanrui , Xie Fei , Li Wenwen , Ji Li , Guan Guoqing , Abudula Abuliti , Yang Zhihong , Gao Feng
Published: January 2025

Microplastics (MPs), as frequent pollutants, persist in aquatic environments and have an impact on the growth and biomass production of microalgae. This study employed MPs of polyethylene (PE), polystyrene (PS), and polypropylene (PP) at concentrations of 250 mg/L with MP sizes of 50, 100, 300, and 500 µm to investigate their influences on the growth and bio-production of Scenedesmus quadricauda. The results revealed that MPs suppressed the growth of S. quadricauda and increased algal lipid production. The order of the MPs in terms of their inhibitory and lipid production effect was the following: PP > PS > PE. The order of their size sensitivity was 50 > 100 > 300 > 500 µm. In the 50 µm PP culture, the inhibition of microalgal growth (inhibition rate: 49.26%) and accumulation of lipids (total lipid content: 65.40%) were most significant, especially with neutral lipid content. Additionally, scanning electron microscopy (SEM) and Fourier-transform infrared spectroscopy (FTIR) analyses proved that the rough MP surface led to high aggregation of microalgae, reduced the intensities of the protein-, lipid-, and carbohydrate-related bands and affected the structure of the algal cells.
Integrated System of Microalgae Photobioreactor and Wine Fermenter: Growth Kinetics for Sustainable CO2 Biocapture
Authors: Groff María Carla , Fernández Puchol Cecilia Fernández , Gil Rocío , Paula Pedrozo Lina Paula , Albareti Santiago , Belén Manzanares Ana Belén , Sánchez Emilia , Scaglia Gustavo
Published: January 2025

Microalgae possess the remarkable ability to autotrophically grow, utilizing atmospheric carbon dioxide (CO2) for photosynthesis, thereby converting solar energy into chemical energy and releasing oxygen. This capacity makes them an effective tool for mitigating industrial CO2 emissions. Mathematical models are crucial for predicting microalgal growth kinetics and thus assessing their potential as industrial CO2 sequestration agents under controlled conditions. This study innovatively evaluated the effect of continuously supplying CO2 from winemaking processes on microalgal cultivation and biomass production, demonstrating a novel approach to both carbon capture and the valorization of a valuable by-product. To analyze microalgal growth kinetics, three mathematical models were employed: Logistic, First Order Plus Dead Time, and Second Order Plus Dead Time. Optimal parameter values for each model were identified using a hybrid search algorithm developed by our research group. First, an integrated microvinification system was established, utilizing two microalgae species, Chlorella spp. (FAUBA-17) and Desmodesmus spinosus (FAUBA-4), in conjunction with yeast fermenters. This system facilitated a comparison of the biomass kinetics of these two microalgae species, selecting Chlorella spp. (FAUBA-17) as the most suitable candidate for subsequent cultivation. A pilot-scale vertical column photobioreactor was then constructed and installed at the Casimiro Wines boutique winery in Angaco, San Juan, Argentina. After 15 days of operation within the photobioreactor, a biomass growth of 1.04 ± 0.05 g/L and 1.07 ± 0.1 g/L was obtained in Photobioreactors 1 and 2, respectively. This novel integrated approach to CO2 capture in the winemaking process is unprecedented. These findings highlight the potential for producing high-value microalgal biomass, promoting the establishment of a local biorefinery and fostering a circular economy and sustainable social development.
Effects of Adding Micronutrient Mixtures to a Model Dark Chocolate System and Partially Replacing the Fat Phase with a Structuring Oleogel
Authors: Santos Paulo Henrique Silva , Suzuki Cristina Kaori , Lannes Suzana Caetano da Silva
Published: January 2025

Supplements improve consumers’ health and well-being. Oleogels are fat substitutes that offer nutritional and structural improvements to foods. This study aimed to formulate and observe chocolate’s structural differences and properties supplemented with different premixes for immune support and oleogel based on Brazil nut oil. Six 60% dark chocolates were produced using oleogel as a partial substitute for cocoa butter (with and without premixes), and premix 1 (vitamin D3, vitamin C, and zinc) or premix 2 (vitamins D3, C, A, E, zinc, and selenium). Texture, rheology, thermal analysis DSC, color, water activity, moisture, pH, and fat profile were determined. The results revealed that the whiteness index was higher for the oleogel and supplemented products. The use of oleogel reduced the lipid content of the products by 5% and saturated fatty acids by 13%. DSC showed changes in the melting and crystallization profiles for the supplemented products. All samples showed thixotropy, and the yield value was significantly different (p ≤ 0.05) in only one sample. Hardness presented a lower value (±50%) for products with oleogel. In sum, replacing part of the cocoa butter with an oleogel made the products softer, improved their structural quality, and changed their melting and crystallization profiles, and the chocolates showed nutritional improvement.
Cellulose Nanofiber Aerogel from Banana Peduncle Modified with Graphene Oxide as Bio-Adsorbent for Lead and Chromium Ions
Authors: Priyatmojo Anjar , Wirawan Riza , Ardy Husaini , Puspitasari Dita , Asri Putri P. P. , Asri Lia A. T. W.
Published: January 2025

Textile industry waste contains high concentrations of heavy metals such as Pb(II) and Cr(VI) that must be reduced before they are released to the environment. The adsorption method is one way to reduce the heavy metal content. In this work, we develop a porous cellulose nanofiber (CNF) aerogel modified with graphene oxide (GO) as an alternative aerogel adsorbent for Pb(II) and Cr(VI). Cellulose was extracted from banana peduncle, a biomass waste that remains largely underutilized. The addition of GO aims to increase the adsorption properties. The aerogel adsorbents were synthesized by varying the ultrasonication time to 45 min for CNF 45 and 60 min for CNF 60, and the amount of GO added to 1 mL and 2 mL. The aerogel adsorbents were successfully prepared using the freeze-drying method with CNF45, CNF60, CNF45/GO1, CNF45/GO2, CNF60/GO1, and CNF60/GO2 variations. CNF was successfully isolated from a banana peduncle with an average diameter of 44.16 nm for 45 min (CNF 45) and an average diameter of 14.6 nm for 60 min (CNF 60) of ultrasonication. Chemical treatment and ultrasonication reduced the crystallinity index value of cellulose by 73% and 61% for CNF 45 and CNF 60, respectively. CNF aerogel has a very low shrinkage rate (<7%), resulting in a larger surface area. CNF60/GO2 obtained the optimum adsorption ability for Pb(II) metal at a concentration of 100 ppm and 27.27 mg/g at 30 min. On the other hand, the adsorption ability of Cr(VI) metal was obtained by CNF60/GO2 at a concentration of 100 ppm and 13.48 mg/g at 30 min. SEM images show that all aerogel adsorbents are porous, with a porosity value range of 96–98%. In conclusion, CNF60/GO2 proved to be the most effective aerogel adsorbent, offering the potential for heavy metal removal from industrial wastewater.
Feasibility, Acceptability, and Outcomes of Project Rally: Pilot Study of a YMCA-Based Pickleball Program for Cancer Survivors
Authors: Parker Nathan H. , de Cerqueira Santos Alexandre , Mintrone Riley , Turner Kea , Sutton Steven K. , O’Connor Tracey , Huang Jeffrey , Lael Morgan , Cruff Summer , Grassia Kari , De Vera Mart Theodore , Bean Morgan , Carmella Rachel , Vadaparampil Susan T. , Vidrine Jennifer I.
Published: January 2025

Background: Physical activity helps cancer survivors ameliorate physiological and psychosocial effects of disease and treatments. However, few cancer survivors meet physical activity recommendations, with many facing barriers such as limited interest, enjoyment, and social support. It is critical to develop enjoyable and supportive physical activity programs to improve well-being among the growing population of cancer survivors. Pickleball is increasingly popular due to its unique combination of physical activity, friendly competition, and social interaction, making it a promising strategy to increase and sustain physical activity in cancer survivorship. Objective: We examined feasibility, acceptability, and preliminary outcomes in a single-arm pilot study of Project Rally, a YMCA-based pickleball program for adult cancer survivors. Results: Twenty-one cancer survivors and seven family or friend partners enrolled in Project Rally with a targeted program duration of 3–7 months. All programming and study assessments occurred at a single YMCA with coaching and supervision from a YMCA exercise trainer and certified pickleball coach. Feasibility and acceptability were strong and met a priori targets for recruitment, retention, intervention adherence, and ratings of program aspects. Participants demonstrated significant increases in physical activity and improvements in aspects of fitness, physical functioning, and social support. Conclusion: These results will inform further development of the Project Rally program to increase physical activity and improve cancer survivorship outcomes, including efforts to expand the program’s scale and reach more survivors via community-based delivery.
Automatic Segmentation of the Nasolacrimal Canal: Application of the nnU-Net v2 Model in CBCT Imaging
Authors: Haylaz Emre , Gumussoy Ismail , Duman Suayip Burak , Kalabalik Fahrettin , Eren Muhammet Can , Demirsoy Mustafa Sami , Celik Ozer , Bayrakdar Ibrahim Sevki
Published: January 2025

Background/Objectives: There are various challenges in the segmentation of anatomical structures with artificial intelligence due to the different structural features of the relevant region/tissue. The aim of this study was to detect the nasolacrimal canal (NLC) using the nnU-Net v2 convolutional neural network (CNN) model in cone beam-computed tomography (CBCT) images and to evaluate the successful performance of the model in automatic segmentation. Methods: CBCT images of 100 patients were randomly selected from the data archive. The raw data were transferred to the 3D Slicer imaging software in DICOM format (Version 4.10.2; MIT, Massachusetts, USA). NLC was labeled using the polygonal type of manual method. The dataset was split into training, validation and test sets in a ratio of 8:1:1. nnU-Net v2 architecture was applied to the training and test datasets to predict and generate appropriate algorithm weight factors. The confusion matrix was used to check the accuracy and performance of the model. As a result of the test, the Dice Coefficient (DC), Intersection over Union (IoU), F1-Score and 95% Hausdorff distance (95% HD) metrics were calculated. Results: By testing the model, DC, IoU, F1-Scores and 95% HD metric values were found to be 0.8465, 0.7341, 0.8480 and 0.9460, respectively. According to the data obtained, the receiver-operating characteristic (ROC) curve was drawn and the AUC value under the curve was determined to be 0.96. Conclusions: These results showed that the proposed nnU-Net v2 model achieves NLC segmentation on CBCT images with high precision and accuracy. The automated segmentation of NLC may assist clinicians in determining the surgical technique to be used to remove lesions, especially those affecting the anterior wall of the maxillary sinus.
Machine Learning in Pediatric Healthcare: Current Trends, Challenges, and Future Directions
Authors: Ganatra Hammad A.
Published: January 2025

Background/Objectives: Artificial intelligence (AI) and machine learning (ML) are transforming healthcare by enabling predictive, diagnostic, and therapeutic advancements. Pediatric healthcare presents unique challenges, including limited data availability, developmental variability, and ethical considerations. This narrative review explores the current trends, applications, challenges, and future directions of ML in pediatric healthcare. Methods: A systematic search of the PubMed database was conducted using the query: (“artificial intelligence” OR “machine learning”) AND (“pediatric” OR “paediatric”). Studies were reviewed to identify key themes, methodologies, applications, and challenges. Gaps in the research and ethical considerations were also analyzed to propose future research directions. Results: ML has demonstrated promise in diagnostic support, prognostic modeling, and therapeutic planning for pediatric patients. Applications include the early detection of conditions like sepsis, improved diagnostic imaging, and personalized treatment strategies for chronic conditions such as epilepsy and Crohn’s disease. However, challenges such as data limitations, ethical concerns, and lack of model generalizability remain significant barriers. Emerging techniques, including federated learning and explainable AI (XAI), offer potential solutions. Despite these advancements, research gaps persist in data diversity, model interpretability, and ethical frameworks. Conclusions: ML offers transformative potential in pediatric healthcare by addressing diagnostic, prognostic, and therapeutic challenges. While advancements highlight its promise, overcoming barriers such as data limitations, ethical concerns, and model trustworthiness is essential for its broader adoption. Future efforts should focus on enhancing data diversity, developing standardized ethical guidelines, and improving model transparency to ensure equitable and effective implementation in pediatric care.
A Case Report of an Adenomatoid Tumor of the Fallopian Tube: The Histopathologic Challenges and a Review of the Literature
Authors: Jozwik Marcin , Bednarczuk Katarzyna , Osierda Zofia , Wojtkiewicz Joanna , Kocik Janusz , Jozwik Maciej
Published: January 2025

Background: Adenomatoid tumor (AT) is a rare benign neoplasm of mesothelial origin, which mainly occurs in the male and female genital tracts. The most common site for AT occurrence in women is the uterus, which makes the presentation in the fallopian tube(s) a rarity with an incidence of approximately 0.5%. The reported extragenital sites include serosal surfaces, adrenal glands, and visceral organs, are even less common. Macroscopically, ATs present as white-grayish or yellowish irregular yet circumscribed firm nodules, often containing cystic components. Owing to a vast array of histomorphological growth patterns, ATs tend to mimic malignancy and trigger overresection. Such clinical situations have been described by several studies for the ovaries, uterus, and fallopian tubes, underlining the importance of differential diagnosis in order to avoid superfluous treatment. Methods: Herein, we report a presentation of an AT at the oviductal lumen, detected incidentally during prophylactic bilateral salpingo-oophorectomy in a 67-year-old patient with a BRCA1 mutation. Results: Immunohistochemical staining revealed a positive expression for calretinin, WT1, and cytokeratin 7, and negative expression for both PAX8 and CD34, thus confirming the diagnosis of AT and excluding tubal malignancy. Conclusions: This report, with a concise review of the global literature on tubal AT, brings attention to the solitary and asymptomatic nature of the tumor. With a clear diagnosis, no surgical radicality is necessary.
Both Isolated Long Head of the Biceps Tenotomy and Tenodesis Are Effective for Symptomatic Rotator Cuff Repair Revision
Authors: D’Ascoli Alessander , Giovannetti de Sanctis Edoardo , Bronsard Nicolas , Gauci Marc-Olivier , Gonzalez Jean-François
Published: January 2025

Background: Symptomatic rotator cuff (RC) repair continues to be a complex issue. Leaving the long head of the biceps (LHB) in place might increase the risk of residual pain, even in the case of a healed RC. The purpose of this study was to assess the clinical outcomes of isolated LHB tenotomy and tenodesis as a revision procedure in symptomatic patients that had previously undergone an arthroscopic RC repair with no clinical or MRI evidence of RC retear. Methods: A retrospective analysis was conducted on patients with a persisting painful shoulder after an arthroscopic RC repair with no clinical or MRI signs of cuff retear, undergoing an isolated arthroscopic biceps tenotomy or tenodesis as a revision procedure. Functional outcomes were assessed preoperatively and at a minimum of 24 months of follow-up. Results: A total of 88 patients were included. The biceps tendon was managed with biceps tenodesis in 64 patients and tenotomy in 24 patients. VAS, Constant Score, SSV and active anterior elevation were all significantly improved after revision surgery. There was no significant difference between pre- and postoperative anterior passive elevation. No significant difference was shown between the tenodesis and tenotomy groups. Conclusions: The present study demonstrated that both isolated tenotomy and tenodesis are effective and safe in treating patients with a symptomatic shoulder after RC repair at a 2-year follow-up with a very low complication rate. Although tenodesis did not show any significant clinical benefit outcomes compared to tenotomy, it might be associated with a lower risk of Popeye deformity.
Low-Density Lipoprotein Subfraction Phenotype Is Associated with Epicardial Adipose Tissue Volume in Type 2 Diabetes
Authors: Rives José , Gil-Millan Pedro , Viladés David , García-Osuna Álvaro , Genua Idoia , Miñambres Inka , Grau-Agramunt Margarida , Gich Ignasi , Puig Nuria , Benitez Sonia , Julve Josep , Pérez Antonio , Sánchez-Quesada José Luis
Published: January 2025

Background: Increased epicardial adipose tissue (EAT) volume is a common feature in type 2 diabetes (T2DM) which is directly associated with heart failure and advanced atherosclerosis. We aimed to evaluate lipoprotein-related biomarkers of EAT volume in T2DM patients before and after glycemic control. Methods: This study included 36 T2DM patients before and after optimization of glycemic control and on 14 healthy controls (HCs). EAT volume was measured using computed tomography imaging indexed to the body surface area (iEAT). Biochemical and lipid profiles were determined using commercial methods. Lipoproteins were isolated by ultracentrifugation, and variables of lipoprotein function were assessed. Multivariable regression analysis was used to find variables independently associated with iEAT. Results: iEAT was higher in T2DM than in controls and decreased with glycemic optimization. HDLs from T2DM had less apoA-I and cholesterol and more apoC-III and triglycerides. LDLs from T2DM had more triglycerides and apoB and smaller sizes than those from HCs. Significant correlations were found between iEAT and age, BMI, HbA1c, GGT, VLDLc, triglycerides, LDL size, apoA-I in HDL, and apoC-III in HDL. In the multivariable regression analysis, age, LDL size, and GGT associations remained statistically significant, and predicted 50% of the variability in EAT volume. ROC analysis using these variables showed an AUC of 0.835. Conclusions: Qualitative characteristics of lipoproteins were altered in T2DM. Multivariable analysis showed that LDL size and GGT plasma levels were independently associated with iEAT volume, suggesting that these variables might be useful biomarkers for stratifying T2DM patients with increased EAT volume.
Can Pain Neuroscience Education Combined with Cognition-Targeted Exercise Therapy Change White Matter Structure in People with Chronic Spinal Pain? A Randomized Controlled Trial
Authors: Coppieters Iris , Nijs Jo , Meeus Mira , Danneels Lieven , Roussel Nathalie , Cagnie Barbara , Kregel Jeroen , Willaert Ward , Rheel Emma , De Pauw Robby , Malfliet Anneleen
Published: January 2025

Background/Objectives: White matter (WM) structural changes have been found in patients with chronic spinal pain (CSP). In these patients, pain neuroscience education followed by cognition-targeted exercise therapy (i.e., the Modern Pain Neuroscience Approach (MPNA)) was shown to be more effective than biomedically-focused education followed by symptom-contingent exercise therapy for improving clinical outcomes. The present study examined whether an MPNA, compared to biomedically-focused treatment, can change WM structure in regions of interest and whether potential WM structural changes are associated with clinical improvements in patients with CSP. Methods: Patients with CSP were randomized into an experimental (MPNA) or control (biomedically-focused) treatment group. Diffusion-weighted Magnetic Resonance Images were acquired pre-treatment, post-treatment, and at 1-year follow-up. WM structure was assessed using diffusion tensor imaging in 8 WM regions of interest, and linear mixed models assessed differences between groups in response to treatment. Results: No significant treatment x time interaction effects were found; however, significant main effects of time were found in 7 WM tracts. Significant main effects of time revealed increased fractional anisotropy (FA), decreased mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) in the cingulum hippocampus, and decreased RD and MD in the superior cerebellar peduncle at 1-year follow-up compared to baseline. In contrast, decreased FA and/or increased MD, AD, or RD values were found in other WM tracts (e.g., anterior corona radiata) from pre-treatment to 1-year follow-up. Greater reduction in kinesiophobia was moderately correlated with a smaller decrease in RD in the superior cerebellar peduncle at 1-year follow-up compared to baseline. No other significant associations were found between WM structural changes and clinical improvements. Conclusions: In conclusion, in patients with CSP, regional WM structure changed over time irrespective of prescribed treatment (timespan of 12 months). Further research, including Neurite Orientation Dispersion and Density Imaging and a healthy control group, allowing for a more specific examination of WM microstructural changes in response to multimodal treatment in patients with CSP, is warranted.
Fascia and Muscle Stiffness in Soccer Athletes with and Without Previous Hamstring Injury
Authors: Kellis Eleftherios , Kekelekis Afxentios , Drakonaki Eleni E.
Published: January 2025

Background/Objectives: Despite extensive efforts to reduce injuries to the hamstrings, the injury rate among athletes is increasing. The purpose of this study was to examine fascia and muscle stiffness differences between ten soccer players with a previous biceps femoris long head (BF) injury and thirteen controls. Methods: The shear-wave elastic (SWE) modulus and surface electromyography signal from the semitendinosus (ST) and BF were measured during passive and active knee flexion efforts from 0°, 45°, and 90° knee flexion angles. Anatomical cross-sectional area (CSA) and maximum isometric strength were also obtained. Results: Analysis of variance showed that the injured group showed significantly greater active (p < 0.05) but similar passive SWE modulus of BF and ST fascia and muscle than the uninjured group. Compared to the non-injured group, injured athletes had lower isometric strength and BF anatomical CSA (p < 0.05) but similar electromyographic activation amplitude (p > 0.05). Conclusions: The greater fascia stiffness during active submaximal contractions, in comparison to controls, might have an impact on hamstring function in soccer players with BF injuries who returned to play. Injured players may benefit from therapeutic interventions that aim to restore fascia and muscle tissue stiffness.
Approaching Flood Risk Management by Creating a Three-Dimensional Model at the Level of a Watershed
Authors: Ichim Cristiana , Filip Larisa Ofelia , Glont Cristian-Dinu , Ristache Alexandru , Lupu-Dima Lucian
Published: January 2025

Globally, the number of major floods has been consistently significant in recent years. By using several methods of acquiring and processing geospatial data, this study aimed to develop a digital terrain model that supports the modeling of sudden increases in water levels in a river to provide a true picture of the areas at risk. The main contribution of this research is provided by the method of performing coupled geospatial, hydrological, and hydraulic calculations within the area of interest. This approach includes an analysis of all the hydrotechnical works executed in the riverbed. The research highlights the characteristics of the water flow corresponding to the maximum flows with exceedance probabilities of 10%, 1%, 0.5%, and 0.1%, as well as those associated with maximum discharges resulting from scenarios involving the failure of the storage dam in the area. The research results indicate that the creation of a 3D model at the river basin is probably the most important step in flood risk management, as the results obtained at this stage can also influence other measures that can be applied.
Durable Structural Recycled Concrete for Different Exposure Environments
Authors: Vintimilla Carla , Etxeberria Miren
Published: January 2025

In this work, the influence of limited percentages of coarse (CRCA) and fine (FRCA) recycled concrete aggregates (Type A recycled aggregates) on the durability properties of structural concrete was analyzed. Concretes were designed using 50% and 60% CRCA with simultaneous additions of 0%, 10%, and 20% FRCA and different types of cement (CEM II/AL 42.5 R, CEM II/AS 42.5 N/SRC, and CEM III/B 42.5 N-LH/SR). Recycled aggregate concrete (RAC) and natural aggregate concrete (NAC) mixtures were produced with similar compressive strength using effective water–cement ratios of 0.47 and 0.5. The drying shrinkage values and durability properties were determined, and they included the chloride permeability, chloride penetration depth, and accelerated and natural carbonation rates. The findings revealed that RAC produced using CEM III/B, which included the mixture produced with 60% coarse RCA and 20% fine RCA, achieved low chloride ion penetrability (up to 850 Coulombs) and exhibited the lowest chloride diffusion coefficient, approximately 7 × 10−13. Additionally, the RAC-C60-F20 concretes made with CEM II/AS proved suitable for the XC3 and XC4 exposure environments, guaranteeing a lifespan of 50 and 100 years based on the natural carbonation rate. In addition, the RAC-C60-F20 concrete made with CEM II/AL cement exhibited an adequate natural carbonation rate for XC4 environments, which was between 1.6 and 2.4 units higher than the accelerated carbonation rate. This work validates the use of RAC in XC environments (corrosion induced by carbonation) and XS1 environments (corrosion caused by chlorides from seawater).
Experimental Identification of Milling Process Damping and Its Application in Stability Lobe Diagrams
Authors: Mladjenovic Cvijetin , Monkova Katarina , Zivkovic Aleksandar , Knezev Milos , Marinkovic Dejan , Ilic Vojin
Published: January 2025

Self-excited vibrations represent one of the most unfavorable phenomena in the cutting process because they can lead to the accelerated wear or breakage of the tool, a sudden deterioration in the quality of the machined surface, and an increase in noise and energy consumption. To avoid these negative effects, stability diagrams are used when defining the cutting regimes, which, depending on the main spindle speed and the cutting depth, show the border between the stable and unstable machine tool operation states from the aspect of self-excited vibrations. These diagrams, known as “stability lobe diagrams”, can be defined using mathematical models (analytical or numerical) or through experimental methods. However, when machining at relatively low main spindle revolutions, process damping occurs, which increases the system stability, i.e., enables a greater cutting depth limit. For the stability diagram to be effectively used for predicting the cutting depth limits at low machining speeds, it is necessary to take the effect of process damping into account. This paper introduces an experimental method for the determination of process damping and its integration into the mathematical framework of the Fourier series method, commonly utilized for the construction of stability lobe diagrams.
In Vitro CO-Releasing and Antioxidant Properties of Sulfonamide-Based CAI-CORMs in a H2O2-Stimulated Human Achilles Tendon-Derived Cell Model
Authors: Berrino Emanuela , Guglielmi Paolo , Carta Fabrizio , Carradori Simone , Campestre Cristina , Angeli Andrea , Arrighi Francesca , Pontecorvi Virginia , Chimenti Paola , Secci Daniela , Supuran Claudiu T. , Gallorini Marialucia
Published: January 2025

Tendinopathy is often described as a complex and multifactorial condition which affects tendons. Tendon disorders are marked by a reduction in mechanical function, accompanied by pain and swelling. At the molecular level, tendinopathy leads to oxidative stress-driven inflammation, increased cell death, disruption of extracellular matrix balance, abnormal growth of capillaries and arteries, and degeneration of collagen formation. Here, we report an innovative approach to modulate oxidative stress during tendinopathy based on sulfonamide-based Carbonic Anhydrase Inhibitors—carbon monoxide releasing molecules (CAI–CORMs) hybrids endowed with dual carbon monoxide (CO) releasing activity and carbonic anhydrase (CA) inhibition. The synthesised compounds have been studied in a model of human Achilles tendon-derived cells stimulated by H2O2. Among the library, compound 1c and, to a greater extent, compound 1a, showed to be extremely effective in terms of restoration of cell metabolic activity and cell proliferation due to their capacity to release CO and inhibit the CA isoforms involved in inflammatory processes in the nanomolar range. Moreover, 1a can restore collagen type 1 secretion under pro-oxidant conditions.
Preparation and Performance of Nickel-Doped LaSrCoO3-SrCO3 Composite Materials for Alkaline Oxygen Evolution in Water Splitting
Authors: Zong Bangfeng , Pan Xiaojun , Zhang Lifang , Wei Bo , Feng Xiangxiong , Guo Miao , Cao Duanhao , Ye Feng
Published: January 2025

Perovskites exhibit catalytic properties on the oxygen evolution reaction (OER) in water electrolysis. Elemental doping by specific preparation methods is a good strategy to obtain highly catalytical active perovskite catalysts. In this work, La0.5Sr0.5Co1−xNixO3−δ perovskite materials doped with different ratios of nickel were successfully synthesized by the sol-gel method. The electrochemical measurement results show that for OER in 1 M KOH solution, La0.5Sr0.5Co0.8Ni0.2O3−δ prepared by the sol-gel method requires only a low overpotential of 213 mV to reach 10 mA cm−2, which is significantly lower than that of La0.5Sr0.5Co0.8Ni0.2O3−δ prepared by the hydrothermal method for the increasing about 45.24% (389 mV at 10 mA cm−2). In addition, La0.5Sr0.5Co0.8Ni0.2O3−δ by the sol-gel method can be kept stable in an alkaline medium tested for 30 h without degradation. This indicates that the prepared La0.5Sr0.5Co0.8Ni0.2O3−δ has better OER performance. The X-ray diffraction (XRD) results show that SrCO3 is the main phase formed, which is a disadvantage of this method. The performance improvement may be affected by the carbonate phase. The scanning electron microscopy (SEM) results show that layer structured La0.5Sr0.5Co0.8Ni0.2O3−δ by the sol-gel method has more surface pores with a pore diameter of about 0.362 μm than spherical granular structured La0.5Sr0.5Co0.8Ni0.2O3−δ by the hydrothermal method. X-ray photoelectronic spectroscopy (XPS) results reveal that the crystal lattice of La0.5Sr0.5Co0.8Ni0.2O3−δ by nickel doping is lengthened, and the electronic configuration of Co is also changed by the sol-gel preparation process. The improved electrocatalytic performance of La0.5Sr0.5Co0.8Ni0.2O3−δ may be attributed to the pore structure formed providing more active sites during the sol-gel process and the improved oxygen mobility with Ni doping by the sol-gel method. The doping strategy using the sol-gel method provides valuable insights for optimizing perovskite catalytic properties.
Adsorption Isotherm Analysis for Hybrid Molecularly Imprinted Polymeric Gold-Decorated Nanoparticles Suitable for Reliable Quantification of Gluconic Acid in Wine
Authors: Manrique Rodriguez Nelson Arturo , Costa Marco , Di Masi Sabrina , Zaleski Christopher , García-Cruz Alvaro , Mele Giuseppe , Paradiso Vito Michele , Piletsky Sergey , Malitesta Cosimino , De Benedetto Giuseppe Egidio
Published: January 2025

A class of hybrid molecularly imprinted polymeric nanoparticles (nanoMIPs) comprising the in situ formation of gold nanoparticles (AuNPs) immobilised in a molecularly imprinted D-gluconate polymer has been designed with the objective of attempting the electrochemical quantification of gluconic acid (GA) in a wine setting. The imprinted polymers were synthesised in the presence of AuNP precursors in a pre-polymerisation mixture, which were confined to one another during the polymerisation of the chains. This allowed the formation of hybrid electroactive responsive imprinted nanoparticles (hybrid AuNPs@GA-nanoMIP), which exhibited enhanced electron conductivity. The morphological characterisation of the produced nanoMIPs revealed a fully decorated Au spherical surface of 200 nm in diameter. This resulted in a large active surface area distribution, as well a pronounced electrochemical peak response at the commercial screen-printed platinum electrode (SPPtE), accompanied by enhanced electron kinetics. The AuNPs@GA-nanoMIP sensor demonstrated the ability to detect a broad range of GA concentrations (0.025–5 mg/mL) with exceptional selectivity and reproducibility. The calibration curves were fitted with different isotherm models, such as the Langmuir, Freundlich and Langmuir–Freundlich functions. Moreover, the efficacy of the detection method was demonstrated by the recovery rates observed in real samples of Italian red wine. This research contributes to the development of a robust and reliable electrochemical sensor for the on-site determination of gluconic acid in food analysis.