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26 pages, 1260 KiB  
Article
Osteogenic Differentiation of Mesenchymal Stem Cells Induced by Geometric Mechanotransductive 3D-Printed Poly-(L)-Lactic Acid Matrices
by Harrison P. Ryan, Bruce K. Milthorpe and Jerran Santos
Int. J. Mol. Sci. 2025, 26(15), 7494; https://doi.org/10.3390/ijms26157494 (registering DOI) - 2 Aug 2025
Abstract
Bone-related defects present a key challenge in orthopaedics. The current gold standard, autografts, poses significant limitations, such as donor site morbidity, limited supply, and poor morphological adaptability. This study investigates the potential of scaffold geometry to induce osteogenic differentiation of human adipose-derived stem [...] Read more.
Bone-related defects present a key challenge in orthopaedics. The current gold standard, autografts, poses significant limitations, such as donor site morbidity, limited supply, and poor morphological adaptability. This study investigates the potential of scaffold geometry to induce osteogenic differentiation of human adipose-derived stem cells (hADSCs) through mechanotransduction, without the use of chemical inducers. Four distinct poly-(L)-lactic acid (PLA) scaffold architectures—Traditional Cross (Tc), Triangle (T), Diamond (D), and Gyroid (G)—were fabricated using fused filament fabrication (FFF) 3D printing. hADSCs were cultured on these scaffolds, and their response was evaluated utilising an alkaline phosphatase (ALP) assay, immunofluorescence, and extensive proteomic analyses. The results showed the D scaffold to have the highest ALP activity, followed by Tc. Proteomics results showed that more than 1200 proteins were identified in each scaffold with unique proteins expressed in each scaffold, respectively Tc—204, T—194, D—244, and G—216. Bioinformatics analysis revealed structures with complex curvature to have an increased expression of proteins involved in mid- to late-stage osteogenesis signalling and differentiation pathways, while the Tc scaffold induced an increased expression of signalling and differentiation pathways pertaining to angiogenesis and early osteogenesis. Full article
(This article belongs to the Special Issue Novel Approaches for Tissue Repair and Tissue Regeneration)
16 pages, 2036 KiB  
Article
Scalable Chemical Vapor Deposition of Silicon Carbide Thin Films for Photonic Integrated Circuit Applications
by Souryaya Dutta, Alex Kaloyeros, Animesh Nanaware and Spyros Gallis
Appl. Sci. 2025, 15(15), 8603; https://doi.org/10.3390/app15158603 (registering DOI) - 2 Aug 2025
Abstract
Highly integrable silicon carbide (SiC) has emerged as a promising platform for photonic integrated circuits (PICs), offering a comprehensive set of material and optical properties that are ideal for the integration of nonlinear devices and solid-state quantum defects. However, despite significant progress in [...] Read more.
Highly integrable silicon carbide (SiC) has emerged as a promising platform for photonic integrated circuits (PICs), offering a comprehensive set of material and optical properties that are ideal for the integration of nonlinear devices and solid-state quantum defects. However, despite significant progress in nanofabrication technology, the development of SiC on an insulator (SiCOI)-based photonics faces challenges due to fabrication-induced material optical losses and complex processing steps. An alternative approach to mitigate these fabrication challenges is the direct deposition of amorphous SiC on an insulator (a-SiCOI). However, there is a lack of systematic studies aimed at producing high optical quality a-SiC thin films, and correspondingly, on evaluating and determining their optical properties in the telecom range. To this end, we have studied a single-source precursor, 1,3,5-trisilacyclohexane (TSCH, C3H12Si3), and chemical vapor deposition (CVD) processes for the deposition of SiC thin films in a low-temperature range (650–800 °C) on a multitude of different substrates. We have successfully demonstrated the fabrication of smooth, uniform, and stoichiometric a-SiCOI thin films of 20 nm to 600 nm with a highly controlled growth rate of ~0.5 Å/s and minimal surface roughness of ~5 Å. Spectroscopic ellipsometry and resonant micro-photoluminescence excitation spectroscopy and mapping reveal a high index of refraction (~2.7) and a minimal absorption coefficient (<200 cm−1) in the telecom C-band, demonstrating the high optical quality of the films. These findings establish a strong foundation for scalable production of high-quality a-SiCOI thin films, enabling their application in advanced chip-scale telecom PIC technologies. Full article
(This article belongs to the Section Materials Science and Engineering)
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17 pages, 2828 KiB  
Article
Augmented Reality in Cardiovascular Education (HoloHeart): Assessment of Students’ and Lecturers’ Needs and Expectations at Heidelberg University Medical School
by Pascal Philipp Schlegel, Florian Kehrle, Till J. Bugaj, Eberhard Scholz, Alexander Kovacevic, Philippe Grieshaber, Ralph Nawrotzki, Joachim Kirsch, Markus Hecker, Anna L. Meyer, Katharina Seidensaal, Thuy D. Do, Jobst-Hendrik Schultz, Norbert Frey and Ann-Kathrin Rahm
Appl. Sci. 2025, 15(15), 8595; https://doi.org/10.3390/app15158595 (registering DOI) - 2 Aug 2025
Abstract
Background: A detailed understanding of cardiac anatomy and physiology is crucial in cardiovascular medicine. However, traditional learning methods often fall short in addressing this complexity. Augmented reality (AR) offers a promising tool to enhance comprehension. To assess its potential integration into the Heidelberger [...] Read more.
Background: A detailed understanding of cardiac anatomy and physiology is crucial in cardiovascular medicine. However, traditional learning methods often fall short in addressing this complexity. Augmented reality (AR) offers a promising tool to enhance comprehension. To assess its potential integration into the Heidelberger Curriculum Medicinale (HeiCuMed), we conducted a needs assessment among medical students and lecturers at Heidelberg University Medical School. Methods: Our survey aimed to evaluate the perceived benefits of AR-based learning compared to conventional methods and to gather expectations regarding an AR course in cardiovascular medicine. Using LimeSurvey, we developed a questionnaire to assess participants’ prior AR experience, preferred learning methods, and interest in a proposed AR-based, 2 × 90-min in-person course. Results: A total of 101 students and 27 lecturers participated. Support for AR in small-group teaching was strong: 96.3% of students and 90.9% of lecturers saw value in a dedicated AR course. Both groups favored its application in anatomy, cardiac surgery, and internal medicine. Students prioritized congenital heart defects, coronary anomalies, and arrhythmias, while lecturers also emphasized invasive valve interventions. Conclusions: There is significant interest in AR-based teaching in cardiovascular education, suggesting its potential to complement and improve traditional methods in medical curricula. Further studies are needed to assess the potential benefits regarding learning outcomes. Full article
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11 pages, 1935 KiB  
Article
Segmental Renal Infarction Associated with Accessory Renal Arteries After Para-Aortic Lymphadenectomy in Gynecologic Malignancies
by Ayumi Kozai, Shintaro Yanazume, Fumitaka Ejima, Shuichi Tatarano, Yusuke Kobayashi, Rintaro Kubo, Shinichi Togami, Takashi Yoshiura and Hiroaki Kobayashi
Medicina 2025, 61(8), 1395; https://doi.org/10.3390/medicina61081395 - 1 Aug 2025
Abstract
Background and Objectives: The causes and clinical outcomes of renal perfusion abnormalities occurring after para-aortic lymphadenectomy (PANDx) for gynecologic malignancies are unknown. We investigated the potential involvement of accessory renal artery (ARA) obstruction in their development by reassessing perioperative contrast-enhanced computed tomography [...] Read more.
Background and Objectives: The causes and clinical outcomes of renal perfusion abnormalities occurring after para-aortic lymphadenectomy (PANDx) for gynecologic malignancies are unknown. We investigated the potential involvement of accessory renal artery (ARA) obstruction in their development by reassessing perioperative contrast-enhanced computed tomography (CECT). Materials and Methods: This retrospective study investigated a clinical database to identify urinary contrast defects using CECT in all patients who had undergone PANDx between January 2020 and December 2024. The perfusion defects in the kidney detected by CECT were extracted by a gynecologic oncologist and evaluated by a radiologist and urologist for suspected obstruction of ARAs. Results: Postoperative renal contrast defects were observed in 3.8% (6/157) of patients. Renal parenchymal fibrosis, cortical atrophy, and parenchymal thinning were observed as universal findings in all patients showing renal contrast defects. In five of the six cases, ARAs supplying the infarcted renal segments were identified on preoperative CECT, and arterial obstruction was confirmed on postoperative imaging. The remaining case was considered to be latent pyelonephritis. All five patients underwent laparotomy, and preoperative CECT failed to detect ARAs. The median resected para-aortic lymph node was 23 nodes (range: 15–33) in five patients, showing no statistically significant difference compared to patients without perfusion abnormalities (p = 0.19). Postoperative serum creatinine levels remained stable. Conclusions: ARA obstruction appears to be a risk factor for segmental renal infarction after para-aortic lymphadenectomy in gynecological malignancies; however, the clinical impact on urinary function may be limited. Awareness of this potential complication is essential for gynecologic oncologists performing PANDx. Full article
(This article belongs to the Section Obstetrics and Gynecology)
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12 pages, 498 KiB  
Article
Outcomes of Pregnancies with Absent or Hypoplastic Fetal Nasal Bone: A Retrospective Analysis of Prenatal Findings and Perinatal Outcomes
by Eva Karner, Lara Krepler, Petra Pateisky, Agnes Grill, Paul Dremsek, Guelen Yerlikaya-Schatten and Stephanie Springer
Life 2025, 15(8), 1215; https://doi.org/10.3390/life15081215 - 1 Aug 2025
Abstract
Hypoplastic or absent fetal nasal bone (NB) is a significant soft marker in the risk assessment for aneuploidies. This study aimed to evaluate prenatal findings and perinatal outcomes in fetuses with absent or hypoplastic NB managed at our center. This retrospective analysis was [...] Read more.
Hypoplastic or absent fetal nasal bone (NB) is a significant soft marker in the risk assessment for aneuploidies. This study aimed to evaluate prenatal findings and perinatal outcomes in fetuses with absent or hypoplastic NB managed at our center. This retrospective analysis was conducted at the Department of Obstetrics at the Medical University of Vienna and including all cases with an absent or hypoplastic fetal NB between 2004 and 2022. Clinical data were extracted and analyzed using descriptive statistics. A total of 149 cases were included. Of these, 51% had chromosomal abnormalities, with trisomy 21 present in 30.9%. Malformations were identified in 55% of cases, most commonly congenital heart defects (34.9%) and facial dysmorphism (28.9%). Eighteen fetuses (12.1%) had structural anomalies without genetic disorders. In 32.9% (n = 49), the NB anomaly was isolated. Our findings show that only half of the cases had chromosomal abnormalities, and over half of the pregnancies resulted in live births with generally favorable perinatal outcomes. However, the presence of additional ultrasound abnormalities significantly increased the risk of adverse outcomes. Therefore, detection of a fetal NB anomaly should prompt comprehensive ultrasound evaluation and genetic testing. Full article
(This article belongs to the Special Issue Advanced Research in Obstetrics and Gynecology)
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16 pages, 3215 KiB  
Article
The Effect of Collagen Membrane Fixation with Pins on Buccal Bone Regeneration in Immediate Dental Implant Sites: A Preclinical Study in Dogs
by Yuma Hazama, Takahisa Iida, Niklaus P. Lang, Fernando M. Muñoz Guzon, Giovanna Iezzi, Daniele Botticelli and Shunsuke Baba
J. Funct. Biomater. 2025, 16(8), 281; https://doi.org/10.3390/jfb16080281 (registering DOI) - 31 Jul 2025
Abstract
Background: The role of collagen membrane fixation during guided bone regeneration (GBR) remains debatable, particularly in post-extraction sockets with buccal defects and concomitant immediate implant placement. This study evaluated whether or not fixation with titanium pins improved regenerative outcomes. Methods: Six adult Beagle [...] Read more.
Background: The role of collagen membrane fixation during guided bone regeneration (GBR) remains debatable, particularly in post-extraction sockets with buccal defects and concomitant immediate implant placement. This study evaluated whether or not fixation with titanium pins improved regenerative outcomes. Methods: Six adult Beagle dogs received bilateral extractions of the fourth mandibular premolars. An implant was immediately placed in both the distal alveoli, and standardized buccal bone defects (5 mm height, 3–2 mm width) were prepared. All defects were filled with a slowly resorbing equine xenograft and covered by a resorbable pericardium membrane. At the test sites, the membrane was apically fixed with pins, while no fixation was applied to the control sites. After 3 months of healing, histomorphometric analyses were performed. Results: The vertical bone gain of the buccal crest was 3.2 mm in the test sites (pin group) and 2.9 mm in the control sites (no-pin) (p > 0.754). No significant difference was found in terms of bone-to-implant contact (BIC). However, residual graft particles were located significantly more coronally in the pin group compared to the no-pin group (p = 0.021). Morphometric analyses revealed similar new bone formation within the groups, but with higher amounts of residual xenograft and soft tissue in the pin group. Conclusions: Membrane fixation did not significantly enhance vertical bone gain, and although the slightly higher regeneration in the pin group (3.2 mm vs. 2.9 mm) may hold clinical relevance in esthetically sensitive areas and osseointegration, it appeared to limit coronal migration of the grafting material. Full article
(This article belongs to the Special Issue Biomaterials in Dentistry: Current Status and Advances)
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22 pages, 8015 KiB  
Article
Differential Mechanism of 3D Motions of Falling Debris in Tunnels Under Extreme Wind Environments Induced by a Single Train and by Trains Crossing
by Wei-Chao Yang, Hong He, Yi-Kang Liu and Lun Zhao
Appl. Sci. 2025, 15(15), 8523; https://doi.org/10.3390/app15158523 (registering DOI) - 31 Jul 2025
Abstract
The extended operation of high-speed railways has led to an increased incidence of tunnel lining defects, with falling debris posing a significant safety threat. Within tunnels, single-train passage and trains-crossing events constitute the most frequent operational scenarios, both generating extreme aerodynamic environments that [...] Read more.
The extended operation of high-speed railways has led to an increased incidence of tunnel lining defects, with falling debris posing a significant safety threat. Within tunnels, single-train passage and trains-crossing events constitute the most frequent operational scenarios, both generating extreme aerodynamic environments that alter debris trajectories from free fall. To systematically investigate the aerodynamic differences and underlying mechanisms governing falling debris behavior under these two distinct conditions, a three-dimensional computational fluid dynamics (CFD) model (debris–air–tunnel–train) was developed using an improved delayed detached eddy simulation (IDDES) turbulence model. Comparative analyses focused on the translational and rotational motions as well as the aerodynamic load coefficients of the debris in both single-train and trains-crossing scenarios. The mechanisms driving the changes in debris aerodynamic behavior are elucidated. Findings reveal that under single-train operation, falling debris travels a greater distance compared with trains-crossing conditions. Specifically, at train speeds ranging from 250–350 km/h, the average flight distances of falling debris in the X and Z directions under single-train conditions surpass those under trains crossing conditions by 10.3 and 5.5 times, respectively. At a train speed of 300 km/h, the impulse of CFx and CFz under single-train conditions is 8.6 and 4.5 times greater than under trains-crossing conditions, consequently leading to the observed reduction in flight distance. Under the conditions of trains crossing, the falling debris is situated between the two trains, and although the wind speed is low, the flow field exhibits instability. This is the primary factor contributing to the reduced flight distance of the falling debris. However, it also leads to more pronounced trajectory deviations and increased speed fluctuations under intersection conditions. The relative velocity (CRV) on the falling debris surface is diminished, resulting in smaller-scale vortex structures that are more numerous. Consequently, the aerodynamic load coefficient is reduced, while the fluctuation range experiences an increase. Full article
(This article belongs to the Special Issue Transportation and Infrastructures Under Extreme Weather Conditions)
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25 pages, 2982 KiB  
Review
Residual Stresses in Metal Manufacturing: A Bibliometric Review
by Diego Vergara, Pablo Fernández-Arias, Edwan Anderson Ariza-Echeverri and Antonio del Bosque
Materials 2025, 18(15), 3612; https://doi.org/10.3390/ma18153612 (registering DOI) - 31 Jul 2025
Abstract
The growing complexity of modern manufacturing has intensified the need for precise control of residual stresses to ensure structural reliability, dimensional stability, and material performance. This study conducts a bibliometric review using data from Scopus and Web of Science, covering publications from 2019 [...] Read more.
The growing complexity of modern manufacturing has intensified the need for precise control of residual stresses to ensure structural reliability, dimensional stability, and material performance. This study conducts a bibliometric review using data from Scopus and Web of Science, covering publications from 2019 to 2024. Residual stress research in metal manufacturing has gained prominence, particularly in relation to welding, additive manufacturing, and machining—processes that induce significant stress gradients affecting mechanical behavior and service life. Emerging trends focus on simulation-based prediction methods, such as the finite element method, heat treatment optimization, and stress-induced defect prevention. Key thematic clusters include process-induced microstructural changes, mechanical property enhancement, and the integration of modeling with experimental validation. By analyzing the evolution of research output, global collaboration networks, and process-specific contributions, this review provides a comprehensive overview of current challenges and identifies strategic directions for future research in residual stress management in advanced metal manufacturing. Full article
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11 pages, 1118 KiB  
Case Report
Infective Endocarditis with Gerbode Defect and DRESS Syndrome: A Rare Case Report
by Corina Ureche, Diana Lavinia Moldovan, Ionel Vița, Valeria Guila and Teodora Nicola-Varo
Reports 2025, 8(3), 127; https://doi.org/10.3390/reports8030127 - 31 Jul 2025
Viewed by 16
Abstract
Background and Clinical Significance: Infective endocarditis (IE) is a serious condition with rising incidence, frequently caused by Staphylococcus aureus. However, cases involving rare congenital anomalies such as Gerbode’s defect are uncommon. Case Presentation: This report presents the first documented case of IE [...] Read more.
Background and Clinical Significance: Infective endocarditis (IE) is a serious condition with rising incidence, frequently caused by Staphylococcus aureus. However, cases involving rare congenital anomalies such as Gerbode’s defect are uncommon. Case Presentation: This report presents the first documented case of IE in a patient with a congenital Gerbode defect complicated by DRESS syndrome—a severe, drug-induced hypersensitivity reaction typically triggered by antibiotics like oxacillin. A 65-year-old woman developed infective endocarditis involving vegetations on the cardiac device lead, the tricuspid valve, and adjacent to a Gerbode defect. The diagnosis was confirmed by positive blood cultures and echocardiographic findings. She received treatment with oxacillin. Subsequently, she exhibited clinical features consistent with DRESS syndrome, including rash, eosinophilia, and multi-organ involvement. Rapid recognition and management, including corticosteroid therapy and antibiotic modification, led to clinical improvement. Conclusions: This case highlights the importance of vigilance for DRESS syndrome in prolonged antibiotic therapy for IE, especially in the context of rare congenital cardiac anomalies. In addition, guidelines are needed to optimize the diagnosis and treatment of this potentially lethal complication. Full article
(This article belongs to the Section Cardiology/Cardiovascular Medicine)
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15 pages, 2158 KiB  
Article
A Data-Driven Approach for Internal Crack Prediction in Continuous Casting of HSLA Steels Using CTGAN and CatBoost
by Mengying Geng, Haonan Ma, Shuangli Liu, Zhuosuo Zhou, Lei Xing, Yibo Ai and Weidong Zhang
Materials 2025, 18(15), 3599; https://doi.org/10.3390/ma18153599 (registering DOI) - 31 Jul 2025
Viewed by 94
Abstract
Internal crack defects in high-strength low-alloy (HSLA) steels during continuous casting pose significant challenges to downstream processing and product reliability. However, due to the inherent class imbalance in industrial defect datasets, conventional machine learning models often suffer from poor sensitivity to minority class [...] Read more.
Internal crack defects in high-strength low-alloy (HSLA) steels during continuous casting pose significant challenges to downstream processing and product reliability. However, due to the inherent class imbalance in industrial defect datasets, conventional machine learning models often suffer from poor sensitivity to minority class instances. This study proposes a predictive framework that integrates conditional tabular generative adversarial network (CTGAN) for synthetic minority sample generation and CatBoost for classification. A dataset of 733 process records was collected from a continuous caster, and 25 informative features were selected using mutual information. CTGAN was employed to augment the minority class (crack) samples, achieving a balanced training set. Feature distribution analysis and principal component visualization indicated that the synthetic data effectively preserved the statistical structure of the original minority class. Compared with the other machine learning methods, including KNN, SVM, and MLP, CatBoost achieved the highest metrics, with an accuracy of 0.9239, precision of 0.9041, recall of 0.9018, and F1-score of 0.9022. Results show that CTGAN-based augmentation improves classification performance across all models. These findings highlight the effectiveness of GAN-based augmentation for imbalanced industrial data and validate the CTGAN–CatBoost model as a robust solution for online defect prediction in steel manufacturing. Full article
(This article belongs to the Special Issue Latest Developments in Advanced Machining Technologies for Materials)
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13 pages, 5177 KiB  
Article
Pilot-Scale Polysulfone Ultrafiltration Patterned Membranes: Phase-Inversion Parametric Optimization on a Roll-to-Roll Casting System
by Ayesha Ilyas and Ivo F. J. Vankelecom
Membranes 2025, 15(8), 228; https://doi.org/10.3390/membranes15080228 - 31 Jul 2025
Viewed by 105
Abstract
The scalability and processability of high-performance membranes remain significant challenges in membrane technology. This work focuses on optimizing the pilot-scale production of patterned polysulfone (PSf) ultrafiltration membranes using the spray-modified non-solvent-induced phase separation (s-NIPS) method on a roll-to-roll pilot line. s-NIPS has already [...] Read more.
The scalability and processability of high-performance membranes remain significant challenges in membrane technology. This work focuses on optimizing the pilot-scale production of patterned polysulfone (PSf) ultrafiltration membranes using the spray-modified non-solvent-induced phase separation (s-NIPS) method on a roll-to-roll pilot line. s-NIPS has already been studied extensively at lab-scale to prepare patterned membranes for various applications including membrane bioreactors (MBR), reverse osmosis (RO) and forward osmosis (FO). Although studied at the lab scale, membranes prepared at a larger scale can significantly differ in performance; therefore, phase inversion parameters, including polymer concentration, molecular weight, and additive type (i.e., polyethylene glycol (PEG) or polyvinylpyrolidine (PVP)) and concentration, were systematically varied when casting on a roll-to-roll, 12″ wide pilot line to identify optimal conditions for achieving defect-free, high-performance, patterned PSf membranes. The membranes were characterized for their pure water permeance, BSA rejection, casting solution viscosities, and resulting morphology. s-NIPS patterned membranes exhibit 150–350% increase in water flux as compared to their reference flat membrane, thanks to very high pattern heights up to 825 µm and formation of finger-like macrovoids. This work bridges the gap between lab-scale and pilot-scale membrane preparation, while proposing an upscaled membrane with great potential for use in water treatment. Full article
(This article belongs to the Section Membrane Applications for Water Treatment)
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23 pages, 2950 KiB  
Article
Thermal Conductivity of UO2 with Defects via DFT+U Calculation and Boltzmann Transport Equation
by Jiantao Qin, Min Zhao, Rongjian Pan, Aitao Tang and Lu Wu
Materials 2025, 18(15), 3584; https://doi.org/10.3390/ma18153584 - 30 Jul 2025
Viewed by 184
Abstract
Accurate evaluation of the thermal conductivity of UO2 with defects is very significant for optimizing fuel performance and enhancing the safety design of reactors. We employed a method that combines the Boltzmann transport equation with DFT+U to calculate the thermal conductivity of [...] Read more.
Accurate evaluation of the thermal conductivity of UO2 with defects is very significant for optimizing fuel performance and enhancing the safety design of reactors. We employed a method that combines the Boltzmann transport equation with DFT+U to calculate the thermal conductivity of UO2 containing fission products and irradiation-induced point defects. Our investigation reveals that the thermal conductivity of UO2 is influenced by defect concentration, defect type, and temperature. Fission products and irradiation defects result in a decrease in thermal conductivity, but they have markedly different impacts on phonon scattering mechanisms. Metal cations tend to scatter low-frequency phonons (less than 5.8 THz), while the fission gas xenon scatters both low-frequency and high-frequency phonons (greater than 5.8 THz), depending on its occupancy at lattice sites. Uranium vacancies scatter low-frequency phonons, while oxygen vacancies scatter high-frequency phonons. When uranium and oxygen vacancies coexist, they scatter phonons across the entire frequency spectrum, which further results in a significant reduction in the thermal conductivity of UO2. Our calculated results align well with experimental data across a wide temperature range and provide fundamental insights into the heat transfer mechanisms in irradiated UO2. These findings are essential for establishing a thermal conductivity database for UO2 under various irradiation conditions and benefit the development of advanced high-performance UO2 fuel. Full article
(This article belongs to the Section Energy Materials)
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20 pages, 1220 KiB  
Systematic Review
The Evolving Role of Stem Cells in Oral Health and Regeneration: A Systematic Review
by Gianna Dipalma, Grazia Marinelli, Arianna Fiore, Liviana Balestriere, Claudio Carone, Silvio Buongiorno, Francesco Inchingolo, Giuseppe Minervini, Andrea Palermo, Angelo Michele Inchingolo and Alessio Danilo Inchingolo
Surgeries 2025, 6(3), 65; https://doi.org/10.3390/surgeries6030065 (registering DOI) - 30 Jul 2025
Viewed by 99
Abstract
Background: Mesenchymal stem cells (MSCs), multipotent and immune-regulatory cells derived from tissues such as bone marrow, dental pulp, and periodontal ligament, emerged as promising agents in regenerative dentistry. Their clinical applications include endodontic tissue regeneration, periodontal healing, and alveolar bone repair, addressing [...] Read more.
Background: Mesenchymal stem cells (MSCs), multipotent and immune-regulatory cells derived from tissues such as bone marrow, dental pulp, and periodontal ligament, emerged as promising agents in regenerative dentistry. Their clinical applications include endodontic tissue regeneration, periodontal healing, and alveolar bone repair, addressing critical challenges in dental tissue restoration. Methods: A systematic review was conducted following PRISMA guidelines and registered in PROSPERO. We searched PubMed, Scopus, and Web of Science databases for open-access, English-language clinical trials and observational studies published from 2015 to 2025. Studies focusing on the application of MSCs in dental tissue regeneration were included based on predefined eligibility criteria. Results: Out of 2400 initial records, 13 studies met the inclusion criteria after screening and eligibility assessment. Most studies investigated MSCs derived from dental pulp and periodontal ligament for regenerating periodontal tissues and alveolar bone defects. The majority reported improved clinical outcomes; however, variations in MSC sources, delivery methods, sample sizes, and follow-up periods introduced methodological heterogeneity. Conclusions: MSCs show significant potential in enhancing bone and periodontal regeneration in dental practice. Nonetheless, the current evidence is limited by small sample sizes, short follow-up, and inconsistent methodologies. Future large-scale, standardized clinical trials are required to validate MSC-based regenerative therapies and optimize treatment protocols. Full article
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14 pages, 3023 KiB  
Article
Tensile and Flexural Behavior of Metal–Polymer Friction Stir Buttstrap Composite Panels
by Arménio N. Correia, Daniel F. O. Braga, Ricardo Baptista and Virgínia Infante
Polymers 2025, 17(15), 2084; https://doi.org/10.3390/polym17152084 - 30 Jul 2025
Viewed by 195
Abstract
This study investigates the friction stir joining of AA6082-T6 aluminum alloy and Noryl GFN2 polymer in a buttstrap configuration, targeting the development of lightweight cylindrical-shaped structures where the polymer provides thermal, chemical, and electrical insulation, while the aluminum ensures mechanical integrity. A parametric [...] Read more.
This study investigates the friction stir joining of AA6082-T6 aluminum alloy and Noryl GFN2 polymer in a buttstrap configuration, targeting the development of lightweight cylindrical-shaped structures where the polymer provides thermal, chemical, and electrical insulation, while the aluminum ensures mechanical integrity. A parametric analysis was carried out to assess the ability to produce friction stir buttstrap composite panels in a single processing step and assess the resulting tensile and flexural behavior. To that end, travel and rotating speeds ranging from 2150 to 2250 rpm, and 100 to 140 mm/min, respectively, were employed while keeping plunge depth and the tilt angle constant. A total of nine composite joints were successfully produced and subsequently subjected to both tensile and four-point bending tests. The tensile and flexural strength results ranged from 80 to 139 MPa, and 39 to 47 MPa, respectively. Moreover, the microstructural examination revealed that all joints exhibited a defect within the joining region and its size and shape had a significant effect on tensile strength, whereas the flexural strength was less affected with more uniform results. The joining region was also characterized by a decrease in hardness, particularly in the pin-affected region on the aluminum end of the joint, exhibiting a W-shaped pattern. Contrarily, on the polymeric end of the joining region, no significant change in hardness was observed. Full article
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22 pages, 3506 KiB  
Review
Spectroscopic and Imaging Technologies Combined with Machine Learning for Intelligent Perception of Pesticide Residues in Fruits and Vegetables
by Haiyan He, Zhoutao Li, Qian Qin, Yue Yu, Yuanxin Guo, Sheng Cai and Zhanming Li
Foods 2025, 14(15), 2679; https://doi.org/10.3390/foods14152679 - 30 Jul 2025
Viewed by 213
Abstract
Pesticide residues in fruits and vegetables pose a serious threat to food safety. Traditional detection methods have defects such as complex operation, high cost, and long detection time. Therefore, it is of great significance to develop rapid, non-destructive, and efficient detection technologies and [...] Read more.
Pesticide residues in fruits and vegetables pose a serious threat to food safety. Traditional detection methods have defects such as complex operation, high cost, and long detection time. Therefore, it is of great significance to develop rapid, non-destructive, and efficient detection technologies and equipment. In recent years, the combination of spectroscopic techniques and imaging technologies with machine learning algorithms has developed rapidly, providing a new attempt to solve this problem. This review focuses on the research progress of the combination of spectroscopic techniques (near-infrared spectroscopy (NIRS), hyperspectral imaging technology (HSI), surface-enhanced Raman scattering (SERS), laser-induced breakdown spectroscopy (LIBS), and imaging techniques (visible light (VIS) imaging, NIRS imaging, HSI technology, terahertz imaging) with machine learning algorithms in the detection of pesticide residues in fruits and vegetables. It also explores the huge challenges faced by the application of spectroscopic and imaging technologies combined with machine learning algorithms in the intelligent perception of pesticide residues in fruits and vegetables: the performance of machine learning models requires further enhancement, the fusion of imaging and spectral data presents technical difficulties, and the commercialization of hardware devices remains underdeveloped. This review has proposed an innovative method that integrates spectral and image data, enhancing the accuracy of pesticide residue detection through the construction of interpretable machine learning algorithms, and providing support for the intelligent sensing and analysis of agricultural and food products. Full article
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