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21 pages, 1458 KiB  
Article
Production of a Biosurfactant for Application in the Cosmetics Industry
by Ana Paula Barbosa Cavalcanti, Gleice Paula de Araújo, Káren Gercyane de Oliveira Bezerra, Fabíola Carolina Gomes de Almeida, Maria da Glória Conceição da Silva, Alessandra Sarubbo, Cláudio José Galdino da Silva Júnior, Rita de Cássia Freire Soares da Silva and Leonie Asfora Sarubbo
Fermentation 2025, 11(8), 451; https://doi.org/10.3390/fermentation11080451 (registering DOI) - 2 Aug 2025
Abstract
The cosmetics industry has been seeking to develop products with renewable natural ingredients to reduce the use of or even replace synthetic substances. Biosurfactants can help meet this demand. These natural compounds are renewable, biodegradable, and non-toxic or have low toxicity, offering minimal [...] Read more.
The cosmetics industry has been seeking to develop products with renewable natural ingredients to reduce the use of or even replace synthetic substances. Biosurfactants can help meet this demand. These natural compounds are renewable, biodegradable, and non-toxic or have low toxicity, offering minimal risk to humans and the environment, which has attracted the interest of an emerging consumer market and, consequently, the cosmetics industry. The aim of the present study was to produce a biosurfactant from the yeast Starmerella bombicola ATCC 22214 cultivated in a mineral medium containing 10% soybean oil and 5% glucose. The biosurfactant reduced the surface tension of water from 72.0 ± 0.1 mN/m to 33.0 ± 0.3 mN/m after eight days of fermentation. The yield was 53.35 ± 0.39 g/L and the critical micelle concentration was 1000 mg/L. The biosurfactant proved to be a good emulsifier of oils used in cosmetic formulations, with emulsification indices ranging from 45.90 ± 1.69% to 68.50 ± 1.10%. The hydrophilic–lipophilic balance index demonstrated the wetting capacity of the biosurfactant and its tendency to form oil-in-water (O/W) emulsions, with 50.0 ± 0.20% foaming capacity. The biosurfactant did not exhibit cytotoxicity in the MTT assay or irritant potential. Additionally, an antioxidant activity of 58.25 ± 0.32% was observed at a concentration of 40 mg/mL. The compound also exhibited antimicrobial activity against various pathogenic microorganisms. The characterisation of the biosurfactant using magnetic nuclear resonance and Fourier transform infrared spectroscopy revealed that the biomolecule is a glycolipid with an anionic nature. The results demonstrate that biosurfactant produced in this work has potential as an active biotechnological ingredient for innovative, eco-friendly cosmetic formulations. Full article
(This article belongs to the Special Issue The Industrial Feasibility of Biosurfactants)
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10 pages, 868 KiB  
Article
The Response of Cell Cultures to Nutrient- and Serum-Induced Changes in the Medium
by Marijana Leventić, Katarina Mišković Špoljarić, Karla Vojvodić, Nikolina Kovačević, Marko Obradović and Teuta Opačak-Bernardi
Sci 2025, 7(3), 105; https://doi.org/10.3390/sci7030105 (registering DOI) - 2 Aug 2025
Abstract
Cell culture models are of central importance for the investigation of cellular metabolism, proliferation and stress responses. In this study, the effects of different concentrations of glucose (1 g/L vs. 4.5 g/L) and fetal bovine serum (FBS; 5%, 10%, 15%) on viability, mitochondrial [...] Read more.
Cell culture models are of central importance for the investigation of cellular metabolism, proliferation and stress responses. In this study, the effects of different concentrations of glucose (1 g/L vs. 4.5 g/L) and fetal bovine serum (FBS; 5%, 10%, 15%) on viability, mitochondrial function and autophagy are investigated in four human cell lines: MRC-5, HeLa, Caco-2 and SW-620. Cells were cultured in defined media for 72 h, and viability was assessed by LDH release, mitochondrial membrane potential using Rhodamine 123, ATP content by luminescence and autophagy activity by dual fluorescence staining. The results showed that HeLa and SW-620 cancer cells exhibited increased proliferation and mitochondrial activity under high glucose conditions, while low glucose media resulted in decreased ATP content and increased membrane permeability in HeLa cells. MRC-5 fibroblasts and Caco-2 cells showed greater resilience to nutrient stress, with minimal changes in LDH release and consistent proliferation. Autophagy was activated under all conditions, with a significant increase only in selected cell-medium combinations. These results highlight the importance of medium composition in influencing cellular bioenergetics and stress responses, which has implications for cancer research, metabolic disease modelling and the development of serum-free culture systems for regenerative medicine. Full article
(This article belongs to the Section Biology Research and Life Sciences)
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26 pages, 1886 KiB  
Article
Landscape Ecological Risk Assessment of Peri-Urban Villages in the Yangtze River Delta Based on Ecosystem Service Values
by Yao Xiong, Yueling Li and Yunfeng Yang
Sustainability 2025, 17(15), 7014; https://doi.org/10.3390/su17157014 (registering DOI) - 1 Aug 2025
Abstract
The rapid urbanization process has accelerated the degradation of ecosystem services (ESs) in peri-urban rural areas of the Yangtze River Delta (YRD), leading to increasing landscape ecological risks (LERs). Establishing a scientifically grounded landscape ecological risk assessment (LERA) system and corresponding control strategies [...] Read more.
The rapid urbanization process has accelerated the degradation of ecosystem services (ESs) in peri-urban rural areas of the Yangtze River Delta (YRD), leading to increasing landscape ecological risks (LERs). Establishing a scientifically grounded landscape ecological risk assessment (LERA) system and corresponding control strategies is therefore imperative. Using rural areas of Jiangning District, Nanjing as a case study, this research proposes an optimized dual-dimensional coupling assessment framework that integrates ecosystem service value (ESV) and ecological risk probability. The spatiotemporal evolution of LER in 2000, 2010, and 2020 and its key driving factors were further studied by using spatial autocorrelation analysis and geodetector methods. The results show the following: (1) From 2000 to 2020, cultivated land remained dominant, but its proportion decreased by 10.87%, while construction land increased by 26.52%, with minimal changes in other land use types. (2) The total ESV increased by CNY 1.67 × 109, with regulating services accounting for over 82%, among which water bodies contributed the most. (3) LER showed an overall increasing trend, with medium- to highest-risk areas expanding by 55.37%, lowest-risk areas increasing by 10.10%, and lower-risk areas decreasing by 65.48%. (4) Key driving factors include landscape vulnerability, vegetation coverage, and ecological land connectivity, with the influence of distance to road becoming increasingly significant. This study reveals the spatiotemporal evolution characteristics of LER in typical peri-urban villages. Based on the LERA results, combined with terrain features and ecological pressure intensity, the study area was divided into three ecological management zones: ecological conservation, ecological restoration, and ecological enhancement. Corresponding zoning strategies were proposed to guide rural ecological governance and support regional sustainable development. Full article
27 pages, 10150 KiB  
Article
Numerical Simulation and Experimental Study of the Thermal Wick-Debinding Used in Low-Pressure Powder Injection Molding
by Mohamed Amine Turki, Dorian Delbergue, Gabriel Marcil-St-Onge and Vincent Demers
Powders 2025, 4(3), 22; https://doi.org/10.3390/powders4030022 - 1 Aug 2025
Viewed by 60
Abstract
Thermal wick-debinding, commonly used in low-pressure injection molding, remains challenging due to complex interactions between binder transport, capillary forces, and thermal effects. This study presents a numerical simulation of binder removal kinetics by coupling Darcy’s law with the Phase Transport in Porous Media [...] Read more.
Thermal wick-debinding, commonly used in low-pressure injection molding, remains challenging due to complex interactions between binder transport, capillary forces, and thermal effects. This study presents a numerical simulation of binder removal kinetics by coupling Darcy’s law with the Phase Transport in Porous Media interface in COMSOL Multiphysics. The model was validated and subsequently used to study the influence of key debinding parameters. Contrary to the Level Set method, which predicts isolated binder clusters, the Multiphase Flow in Porous Media method proposed in this work more accurately reflects the physical behavior of the process, capturing a continuous binder extraction throughout the green part and a uniform binder distribution within the wicking medium. The model successfully predicted the experimentally observed decrease in binder saturation with increasing debinding temperature or time, with deviation limited 3–10 vol. % (attributed to a mandatory brushing operation, which may underestimate the residual binder mass). The model was then used to optimize the debinding process: for a temperature of 100 °C and an inter-part gap distance of 5 mm, the debinding time was minimized to 7 h. These findings highlight the model’s practical utility for process design, offering a valuable tool for determining optimal debinding parameters and improving productivity. Full article
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21 pages, 6919 KiB  
Article
Symmetric Optimization Strategy Based on Triple-Phase Shift for Dual-Active Bridge Converters with Low RMS Current and Full ZVS over Ultra-Wide Voltage and Load Ranges
by Longfei Cui, Yiming Zhang, Xuhong Wang and Dong Zhang
Electronics 2025, 14(15), 3031; https://doi.org/10.3390/electronics14153031 - 30 Jul 2025
Viewed by 195
Abstract
Dual-active bridge (DAB) converters have emerged as a preferred topology in electric vehicle charging and energy storage applications, owing to their structurally symmetric configuration and intrinsic galvanic isolation capabilities. However, conventional triple-phase shift (TPS) control strategies face significant challenges in maintaining high efficiency [...] Read more.
Dual-active bridge (DAB) converters have emerged as a preferred topology in electric vehicle charging and energy storage applications, owing to their structurally symmetric configuration and intrinsic galvanic isolation capabilities. However, conventional triple-phase shift (TPS) control strategies face significant challenges in maintaining high efficiency across ultra-wide output voltage and load ranges. To exploit the inherent structural symmetry of the DAB topology, a symmetric optimization strategy based on triple-phase shift (SOS-TPS) is proposed. The method specifically targets the forward buck operating mode, where an optimization framework is established to minimize the root mean square (RMS) current of the inductor, thereby addressing both switching and conduction losses. The formulation explicitly incorporates zero-voltage switching (ZVS) constraints and operating mode conditions. By employing the Karush–Kuhn–Tucker (KKT) conditions in conjunction with the Lagrange multiplier method (LMM), the refined control trajectories corresponding to various power levels are analytically derived, enabling efficient modulation across the entire operating range. In the medium-power region, full-switch ZVS is inherently satisfied. In the low-power operation, full-switch ZVS is achieved by introducing a modulation factor λ, and a selection principle for λ is established. For high-power operation, the strategy transitions to a conventional single-phase shift (SPS) modulation. Furthermore, by exploiting the inherent symmetry of the DAB topology, the proposed method reveals the symmetric property of modulation control. The modulation strategy for the forward boost mode can be efficiently derived through a duty cycle and voltage gain mapping, eliminating the need for re-derivation. To validate the effectiveness of the proposed SOS-TPS strategy, a 2.3 kW experimental prototype was developed. The measured results demonstrate that the method ensures ZVS for all switches under the full load range, supports ultra-wide voltage conversion capability, substantially suppresses RMS current, and achieves a maximum efficiency of 97.3%. Full article
(This article belongs to the Special Issue Advanced Control Techniques for Power Converter and Drives)
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17 pages, 7288 KiB  
Article
Non-Linear Prediction Model for the Strength of Medium-to-Low-Grade Phosphate Tailings Cemented Backfill
by Weizhong Zhang, Menglai Wang, Shujian Li, Yuandi Xia and Qinrong Kang
Appl. Sci. 2025, 15(15), 8358; https://doi.org/10.3390/app15158358 - 27 Jul 2025
Viewed by 259
Abstract
Developing green mining technology for medium-to low-grade mines requires achieving minimal or no damage to the mining area’s ecological environment. A medium-to low-grade phosphate mine in Hubei Province was taken as the research object in this study. The tailings were selected as the [...] Read more.
Developing green mining technology for medium-to low-grade mines requires achieving minimal or no damage to the mining area’s ecological environment. A medium-to low-grade phosphate mine in Hubei Province was taken as the research object in this study. The tailings were selected as the main filling aggregate. Indoor tests and theoretical analysis were conducted to analyze the influence of curing age, the water–cement ratio, the cement–sand ratio, and slurry concentration on the strength of the cemented backfill. Furthermore, a multi-factor non-linear mathematical model of the strength of the cementitious filler was established. The study results indicated that the strength of backfill increased linearly with the increase in the curing age, decreased negatively with the increase in the water–cement ratio, and increased exponentially with the increase in the cement–sand ratio and the slurry concentration. The multivariate non-linear prediction model of the strength of the filling body at different ages was also established based on the test results. This predictive model could effectively predict the strength of the cemented backfill, and the error value was not larger than 4%. Our research results can lay a theoretical foundation for developing medium-to low-grade phosphate mine filling with tailings as the main filling aggregate. Full article
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13 pages, 2087 KiB  
Article
Liposome-Loaded Mesenchymal Stem Cells Enhance Tumor Accumulation and Anti-Tumor Efficacy of Doxorubicin in Mouse Tumor Models of Melanoma
by Yusuke Kono, Himi Kanbara, Saki Danjo, Aiga Yoshikawa, Yoshihiro Iwayama and Ken-ichi Ogawara
Pharmaceutics 2025, 17(8), 947; https://doi.org/10.3390/pharmaceutics17080947 - 22 Jul 2025
Viewed by 296
Abstract
Background: Mesenchymal stem cells (MSCs) possess an intrinsic tumor-tropic ability, and therefore, MSCs may potentially be used as biomimetic carriers for active drug delivery systems targeting tumors. We previously developed a method to efficiently load liposomes onto the surface of MSCs via [...] Read more.
Background: Mesenchymal stem cells (MSCs) possess an intrinsic tumor-tropic ability, and therefore, MSCs may potentially be used as biomimetic carriers for active drug delivery systems targeting tumors. We previously developed a method to efficiently load liposomes onto the surface of MSCs via electrostatic interactions. The prepared liposome-loaded MSCs (Lip-MSCs) spontaneously accumulated in solid melanoma tumors with low vascular permeability while stably carrying liposomes. Methods: To explore Lip-MSC applications in cancer chemotherapy, doxorubicin (DOX)-encapsulated liposomes (DOX-Lip) were prepared and loaded onto MSCs. The cell viability, DOX-releasing properties, tumor-homing capacity, and anti-tumor efficacy of DOX-Lip-MSCs were analyzed. Results: Small liposomes (100 nm) retained DOX, whereas significant leakage of DOX was observed from 600 nm-sized liposomes. Based on this result, we used 100 nm DOX-Lip for the preparation of DOX-Lip-MSCs. Compared with MSCs loaded with DOX by incubation with DOX solution, DOX-Lip-MSCs could load a larger amount of DOX with minimal cytotoxicity. DOX-Lip-MSCs also showed sustained DOX release. DOX-Lip-MSCs efficiently migrated toward the conditioned medium of B16/BL6 melanoma cells in vitro and accumulated in B16/BL6 tumors in vivo, leading to a significant inhibitory effect on tumor growth. Conclusions: Lip-MSCs can serve as an efficient carrier to deliver anti-cancer drugs into solid tumors. Full article
(This article belongs to the Special Issue Cell-Mediated Delivery Systems)
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18 pages, 4607 KiB  
Article
Multi-Objective Machine Learning Optimization of Cylindrical TPMS Lattices for Bone Implants
by Mansoureh Rezapourian, Ali Cheloee Darabi, Mohammadreza Khoshbin and Irina Hussainova
Biomimetics 2025, 10(7), 475; https://doi.org/10.3390/biomimetics10070475 - 18 Jul 2025
Viewed by 518
Abstract
This study presents a multi-objective optimization framework for designing cylindrical triply periodic minimal surface (TPMS) lattices tailored for bone implant applications. Using an artificial neural network (ANN) as a surrogate model trained on simulated data, four key properties—ultimate stress (U), energy absorption (EA), [...] Read more.
This study presents a multi-objective optimization framework for designing cylindrical triply periodic minimal surface (TPMS) lattices tailored for bone implant applications. Using an artificial neural network (ANN) as a surrogate model trained on simulated data, four key properties—ultimate stress (U), energy absorption (EA), surface area-to-volume ratio (SA/VR), and relative density (RD)—were predicted from seven lattice design parameters. To address anatomical variability, a novel implant size-based categorization (small, medium, and large) was introduced, and separate optimization runs were conducted for each group. The optimization was performed via the NSGA-II algorithm to maximize mechanical performance (U and EA) and surface efficiency (SA/VR), while filtering for biologically relevant RD values (20–40%). Separate optimization runs were conducted for small, medium, and large implant size groups. A total of 105 Pareto-optimal designs were identified, with 75 designs retained after RD filtering. SHapley Additive exPlanations (SHAP) analysis revealed the dominant influence of thickness and unit cell size on target properties. Kernel density and boxplot comparisons confirmed distinct performance trends across size groups. The framework effectively balances competing design goals and enables the selection of size-specific lattices. The proposed approach provides a reproducible pathway for optimizing bioarchitectures, with the potential to accelerate the development of lattice-based implants in personalized medicine. Full article
(This article belongs to the Special Issue Biomimicry and Functional Materials: 5th Edition)
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24 pages, 2354 KiB  
Systematic Review
Highly Filled Flowable Composite Resins as Sole Restorative Materials: A Systematic Review
by Konstantinos Tzimas, Eftychia Pappa, Maria Fostiropoulou, Efstratios Papazoglou and Christos Rahiotis
Materials 2025, 18(14), 3370; https://doi.org/10.3390/ma18143370 - 18 Jul 2025
Viewed by 485
Abstract
The continuous need for simplified, minimally invasive restorative procedures with a high precision has led to the advancement of highly filled flowable resin-based materials. These materials present excellent initial outcomes in various clinical applications, including the injection molding technique. Given that several clinical [...] Read more.
The continuous need for simplified, minimally invasive restorative procedures with a high precision has led to the advancement of highly filled flowable resin-based materials. These materials present excellent initial outcomes in various clinical applications, including the injection molding technique. Given that several clinical reports present signs of wear and staining, this systematic review aims to investigate the mechanical and optical properties of highly filled flowable composite resins. A comprehensive literature research was conducted to identify relevant studies from the PubMed, the Cochrane Library, and Scopus databases. Data extraction and screening was performed by two independent evaluators. Both in vitro studies and clinical trials were included. A total of thirty-one studies were included in this review. A total of 27 in vitro studies investigated highly filled flowable composite resins independently, or in comparison with conventional composite resins, traditional flowable composites, bulk-fill flowable composites, glass ionomer cements, and compomers. Additionally, four randomized controlled clinical trials (RCTs) compared highly filled flowable composite resins with their conventional counterparts. Highly filled flowable composite resins exhibit adequate optical properties. Despite their significant improvements, their mechanical properties remain inferior to those of medium-viscosity composite resins. These materials demonstrate a favorable initial performance in the injection molding technique. Based on a limited number of RCTs, these materials demonstrate an adequate performance in class I and II restorations; however these findings should be interpreted with caution. The reported drawbacks in laboratory studies may contraindicate their clinical application in extensive cavities, load-bearing areas, and in cases of excessive tooth wear and parafunctional activity. A careful clinical case selection is strongly recommended. Full article
(This article belongs to the Special Issue Properties of Dental Restorative Materials (Volume II))
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33 pages, 167102 KiB  
Article
Influence of Mineralogical and Petrographic Properties on the Mechanical Behavior of Granitic and Mafic Rocks
by Muhammad Faisal Waqar, Songfeng Guo, Shengwen Qi, Malik Aoun Murtaza Karim, Khan Zada, Izhar Ahmed and Yanjun Shang
Minerals 2025, 15(7), 747; https://doi.org/10.3390/min15070747 - 17 Jul 2025
Viewed by 353
Abstract
This study investigates the impact of mineralogical and petrographic characteristics on the mechanical behavior of granitic and mafic rocks from the Shuangjiangkou (Sichuan Province) and Damiao complexes (Hebei Province) in China. The research methodology combined petrographic investigation, comprising optical microscopy and Scanning Electron [...] Read more.
This study investigates the impact of mineralogical and petrographic characteristics on the mechanical behavior of granitic and mafic rocks from the Shuangjiangkou (Sichuan Province) and Damiao complexes (Hebei Province) in China. The research methodology combined petrographic investigation, comprising optical microscopy and Scanning Electron Microscopy–Energy-Dispersive X-ray Spectroscopy (SEM-EDS) methods, with methodical geotechnical characterization to establish quantitative relationships between mineralogical composition and engineering properties. The petrographic studies revealed three lithologic groups: fine-to-medium-grained Shuangjiangkou granite (45%–60% feldspar, 27%–35% quartz, 10%–15% mica), plagioclase-rich anorthosite (more than 90% of plagioclase), and intermediate mangerite (40%–50% of plagioclase, 25%–35% of perthite). The uniaxial compressive strength tests showed great variations: granite (127.53 ± 15.07 MPa), anorthosite (167.81 ± 23.45 MPa), and mangerite (205.12 ± 23.87 MPa). Physical properties demonstrated inverse correlations between mechanical strength and both water absorption (granite: 0.25%–0.42%; anorthosite: 0.07%–0.44%; mangerite: 0.10%–0.25%) and apparent porosity (granite: 0.75%–0.92%; anorthosite: 0.20%–1.20%; mangerite: 0.29%–0.69%), with positive correlations to specific gravity (granite: 1.88–3.03; anorthosite: 2.67–2.90; mangerite: 2.43–2.99). Critical petrographic features controlling mechanical behavior include the following: (1) mica content in granite creating anisotropic properties, (2) extensive feldspar alteration through sericitization increasing microporosity and reducing intergranular cohesion, (3) plagioclase micro-fracturing and alteration to clinozoisite–sericite assemblages in anorthosite creating weakness networks, and (4) mangerite’s superior composition of >95% hard minerals with minimal sheet mineral content and limited alteration. Failure mode analysis indicated distinct patterns: granite experiencing shear-dominated failure (30–45° diagonal planes), anorthosite demonstrated tensile fracturing with vertical splitting, and mangerite showed catastrophic brittle failure with extensive fracture networks. These findings provide quantitative frameworks that relate petrographic features to engineering behavior, offering valuable insights for rock mass assessment and engineering design in similar crystalline rock terrains. Full article
(This article belongs to the Special Issue Characterization of Geological Material at Nano- and Micro-scales)
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20 pages, 3037 KiB  
Article
An Automated Microfluidic Platform for In Vitro Raman Analysis of Living Cells
by Illya Klyusko, Stefania Scalise, Francesco Guzzi, Luigi Randazzini, Simona Zaccone, Elvira Immacolata Parrotta, Valeria Lucchino, Alessio Merola, Carlo Cosentino, Ulrich Krühne, Isabella Aquila, Giovanni Cuda, Enzo Di Fabrizio, Patrizio Candeloro and Gerardo Perozziello
Biosensors 2025, 15(7), 459; https://doi.org/10.3390/bios15070459 - 16 Jul 2025
Viewed by 371
Abstract
We present a miniaturized, inexpensive, and user-friendly microfluidic platform to support biological applications. The system integrates a mini-incubator providing controlled environmental conditions and housing a microfluidic device for long-term cell culture experiments. The incubator is designed to be compatible with standard inverted optical [...] Read more.
We present a miniaturized, inexpensive, and user-friendly microfluidic platform to support biological applications. The system integrates a mini-incubator providing controlled environmental conditions and housing a microfluidic device for long-term cell culture experiments. The incubator is designed to be compatible with standard inverted optical microscopes and Raman spectrometers, allowing for the non-invasive imaging and spectroscopic analysis of cell cultures in vitro. The microfluidic device, which reproduces a dynamic environment, was optimized to sustain a passive, gravity-driven flow of medium, eliminating the need for an external pumping system and reducing mechanical stress on the cells. The platform was tested using Raman analysis and adherent tumoral cells to assess proliferation prior and subsequent to hydrogen peroxide treatment for oxidative stress induction. The results demonstrated a successful adhesion of cells onto the substrate and their proliferation. Furthermore, the platform is suitable for carrying out optical monitoring of cultures and Raman analysis. In fact, it was possible to discriminate spectra deriving from control and hydrogen peroxide-treated cells in terms of DNA backbone and cellular membrane modification effects provoked by reactive oxygen species (ROS) activity. The 800–1100 cm−1 band highlights the destructive effects of ROS on the DNA backbone’s structure, as its rupture modifies its vibration; moreover, unpaired nucleotides are increased in treated sample, as shown in the 1154–1185 cm−1 band. Protein synthesis deterioration, led by DNA structure damage, is highlighted in the 1257–1341 cm−1, 1440–1450 cm−1, and 1640–1670 cm−1 bands. Furthermore, membrane damage is emphasized in changes in the 1270, 1301, and 1738 cm−1 frequencies, as phospholipid synthesis is accelerated in an attempt to compensate for the membrane damage brought about by the ROS attack. This study highlights the potential use of this platform as an alternative to conventional culturing and analysis procedures, considering that cell culturing, optical imaging, and Raman spectroscopy can be performed simultaneously on living cells with minimal cellular stress and without the need for labeling or fixation. Full article
(This article belongs to the Special Issue Microfluidic Devices for Biological Sample Analysis)
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16 pages, 3137 KiB  
Systematic Review
Correction of Anterior Open Bite Using Temporary Anchorage Devices: A Systematic Review and Meta-Analysis
by Patricia Burgos-Lancero, Marta Ibor-Miguel, Laura Marqués-Martínez, Paula Boo-Gordillo, Esther García-Miralles and Clara Guinot-Barona
J. Clin. Med. 2025, 14(14), 4958; https://doi.org/10.3390/jcm14144958 - 13 Jul 2025
Viewed by 424
Abstract
Background/Objectives: Anterior open bite (AOB) is a complex malocclusion characterized by the lack of vertical overlap between the upper and lower teeth during maximum intercuspation. It often results in functional impairments and aesthetic concerns. Traditional treatments for adult patients, including orthognathic surgery, are [...] Read more.
Background/Objectives: Anterior open bite (AOB) is a complex malocclusion characterized by the lack of vertical overlap between the upper and lower teeth during maximum intercuspation. It often results in functional impairments and aesthetic concerns. Traditional treatments for adult patients, including orthognathic surgery, are effective but invasive. Temporary anchorage devices (TADs) have emerged as a minimally invasive alternative. The aim of this systematic review and meta-analysis was to evaluate the effectiveness of TADs for molar intrusion in the correction of AOB. Methods: A systematic review was conducted according to the PRISMA 2020 guidelines. An electronic search was performed in PubMed and Scopus until March 2025. The inclusion criteria comprised clinical studies in humans published in English or Spanish in the last 10 years. The risk of bias was assessed using RoB 2, ROBINS-I, and the Joanna Briggs Institute tools. A random-effects meta-analysis was carried out to estimate pooled intrusion values, and heterogeneity was evaluated using Cochran’s Q test and the I2 statistic. Results: Twelve studies were included. Molar intrusion using TADs achieved significant overbite improvements, with a pooled mean intrusion of 1.70 mm (95% CI: 0.53–2.87 mm). The heterogeneity among studies was high (I2 = 88.5%). Despite variability in force magnitude and TAD type, lighter forces were generally associated with similar outcomes and fewer adverse effects. Conclusions: TADs offer a predictable and less invasive alternative to orthognathic surgery for AOB correction. When appropriately indicated and biomechanically managed, they provide effective vertical control and short- to medium-term stability in adult patients. Full article
(This article belongs to the Special Issue Latest Advances in Orthodontics)
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42 pages, 1835 KiB  
Article
Social Life Cycle Assessment of Multifunctional Bioenergy Systems: Social and Socioeconomic Impacts of Hydrothermal Treatment of Wet Biogenic Residues into Intermediate Bioenergy Carriers and Sustainable Solid Biofuels
by Marco Ugolini, Lucia Recchia, Ciro Avolio and Cristina Barragan Yebra
Energies 2025, 18(14), 3695; https://doi.org/10.3390/en18143695 - 12 Jul 2025
Viewed by 272
Abstract
This study presents a social life cycle assessment (S-LCA) of the F-CUBED Production System (FPS), an innovative process that converts wet biogenic residues—specifically paper biosludge, virgin olive pomace, and fruit and vegetable residues—into intermediate bioenergy carriers via hydrothermal treatment (TORWASH®), pelletization, [...] Read more.
This study presents a social life cycle assessment (S-LCA) of the F-CUBED Production System (FPS), an innovative process that converts wet biogenic residues—specifically paper biosludge, virgin olive pomace, and fruit and vegetable residues—into intermediate bioenergy carriers via hydrothermal treatment (TORWASH®), pelletization, and anaerobic digestion. The hydrothermal carbonization of these low-grade, moisture-rich biogenic residues enhances the flexibility and reliability of renewable energy systems while also offering the potential to reduce environmental burdens compared to conventional disposal methods. Through this S-LCA, the study aims to evaluate the cradle-to-gate socioeconomic impacts of the FPS in three European contexts—Sweden, Italy, and Spain—using the 2020 UNEP Guidelines and the Social Hotspots Database (SHDB) and applying quantitative modeling via SimaPro. The functional unit is defined as 1 kWh of electricity produced. The assessment combines SHDB-based modeling with primary data from stakeholder surveys conducted in the three countries. Impact categories are harmonized between SHDB and UNEP typologies, and the results are reported in medium-risk-hour equivalents (mrheq). The results show a heterogeneous social impact profile across case studies. In Sweden, the treatment of paper biosludge delivers substantial benefits with minimal risk. In Spain (orange peel), the introduction of the FPS demonstrated a strong social benefit, particularly in health and safety and labor rights, indicating high institutional performance and good integration with local industry. Conversely, in Italy (olive pomace), the FPS revealed significant social risks, especially in the biopellet production and electricity generation sectors, reflecting regional vulnerabilities in labor conditions and governance. This suggests that targeted mitigation strategies are recommended in contexts like Southern Italy. These findings highlight that the social sustainability of emerging bioenergy technologies is context-dependent and sensitive to sectoral and regional socioeconomic conditions. This S-LCA complements prior environmental assessments and emphasizes the importance of integrating social performance considerations in the deployment and scaling of innovative bioenergy systems. Full article
(This article belongs to the Special Issue Advances in Bioenergy and Waste-to-Energy Technologies)
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19 pages, 2299 KiB  
Article
A Supervised Machine Learning-Based Approach for Task Workload Prediction in Manufacturing: A Case Study Application
by Valentina De Simone, Valentina Di Pasquale, Joanna Calabrese, Salvatore Miranda and Raffaele Iannone
Machines 2025, 13(7), 602; https://doi.org/10.3390/machines13070602 - 12 Jul 2025
Viewed by 355
Abstract
Predicting workload for tasks in manufacturing is a complex challenge due to the numerous variables involved. In small- and medium-sized enterprises (SMEs), this process is often experience-based, leading to inaccurate predictions that significantly impact production planning, order management, and consequently the ability to [...] Read more.
Predicting workload for tasks in manufacturing is a complex challenge due to the numerous variables involved. In small- and medium-sized enterprises (SMEs), this process is often experience-based, leading to inaccurate predictions that significantly impact production planning, order management, and consequently the ability to meet customer deadlines. This paper presents an approach that leverages machine learning to enhance workload prediction with minimal data collection, making it particularly suitable for SMEs. A case study application using supervised machine learning models for regression, trained in an open-source data analytics, reporting, and integration platform (KNIME Analytics Platform), has been carried out. An Automated Machine Learning (AutoML) regression approach was employed to identify the most suitable model for task workload prediction based on minimising the Mean Absolute Error (MAE) scores. Specifically, the Regression Tree (RT) model demonstrated superior accuracy compared to more traditional simple averaging and manual predictions when modelling data for a single product type. When incorporating all available product data, despite a slight performance decrease, the XGBoost Tree Ensemble still outperformed the traditional approaches. These findings highlight the potential of machine learning to improve workload forecasting in manufacturing, offering a practical and easily implementable solution for SMEs. Full article
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17 pages, 539 KiB  
Article
Energy Density and Level of Processing of Packaged Food and Beverages Intended for Consumption by Australian Children
by Sally MacLean, Kristy A. Bolton, Sarah Dickie, Julie Woods and Kathleen E. Lacy
Nutrients 2025, 17(14), 2293; https://doi.org/10.3390/nu17142293 - 11 Jul 2025
Viewed by 450
Abstract
Background/Objectives: Higher energy density (ED; kJ/g) and higher levels of processing of foods and beverages have been associated with childhood obesity and reduced diet quality. This study described and examined the distribution of ED and levels of processing of new food and [...] Read more.
Background/Objectives: Higher energy density (ED; kJ/g) and higher levels of processing of foods and beverages have been associated with childhood obesity and reduced diet quality. This study described and examined the distribution of ED and levels of processing of new food and beverage products intended for Australian children (0–4 years, 5–12 years). Methods: This study used 2013–2023 data from the Mintel Global New Products Database. Products were classified by ED (low ≦ 4.184 kJ/g, medium > 4.184 kJ/g and <12.552 kJ/g, or high ≧ 12.552 kJ/g) and level of processing (using the NOVA classification system; unprocessed/minimally processed foods; processed culinary ingredients; processed foods; ultra-processed foods (UPFs)). Non-parametric statistics were used to examine ED and level of processing by age and ‘Food’ and ‘Drink’ groups. Results: Of the 1770 products analysed, 56% were classified as high-ED and 81% as UPF. Among ‘Food’ products intended for children ‘5–12 years’, 93% were classified as UPFs. The differences in ED classification between non-UPFs and UPFs were significant for ‘Food’ products intended for children aged ‘0–4 years’ (p < 0.001) but not for children aged ‘5–12 years’ (p = 0.149). Conclusions: The prevalence of high-ED and UPFs in the Australian packaged food supply demonstrates the need to tighten regulations around products intended for children. The regulation of low-ED UPFs (i.e., recognised by Australian Dietary Guidelines as ‘healthy’) may also be required. Full article
(This article belongs to the Section Nutrition and Public Health)
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