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35 pages, 6546 KiB  
Article
From Gretel to Strudelcity: Empowering Teachers Regarding Generative AI for Enhanced AI Literacy with CollectiveGPT
by Benedikt Brünner, Sandra Schön and Martin Ebner
Educ. Sci. 2025, 15(2), 206; https://doi.org/10.3390/educsci15020206 (registering DOI) - 8 Feb 2025
Abstract
In the era of transformative technologies, generative artificial intelligence (genAI) offers profound opportunities and challenges for education. This study explores the development and execution of an interactive workshop designed to equip educators with foundational genAI literacy. Using a design-based research (DBR) framework, the [...] Read more.
In the era of transformative technologies, generative artificial intelligence (genAI) offers profound opportunities and challenges for education. This study explores the development and execution of an interactive workshop designed to equip educators with foundational genAI literacy. Using a design-based research (DBR) framework, the workshop leverages interactivity and contextual relevance to introduce genAI concepts, prompting strategies and ethical considerations. Participants engaged in a scripted learning workshop design, comparing human and AI responses, exploring genAI’s probabilistic foundations, context dependency, and vulnerability to manipulation. Conducted across 12 workshops with 191 participants in Austria, this study revealed significant improvements in self-perceived genAI understanding, with 70% of participants reporting better grades in post-assessment evaluations. Feedback emphasized the workshop’s strengths in interactivity and relevance, alongside recommendations for deeper school-specific applications. Scalability analysis showed that workshop duration remained consistent regardless of group size, suggesting potential for broader implementation. The findings highlight the effectiveness of scripted learning workshop design in fostering critical AI literacy, preparing educators to critically evaluate and ethically integrate genAI into pedagogical practices. This adaptable model contributes to the discourse on professional development in AI-enhanced education. Full article
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16 pages, 2151 KiB  
Article
Anaerobic Digestion of Cattle Manure Contaminated with an Antibiotic Mixture: A Nature-Based Solution for Environmental Management
by Giulia Massini, Anna Barra Caracciolo, Jasmin Rauseo, Francesca Spataro, Giulia Scordo, Luisa Patrolecco, Gian Luigi Garbini, Andrea Visca, Paola Grenni, Ludovica Rolando and Valentina Mazzurco Miritana
Land 2025, 14(2), 353; https://doi.org/10.3390/land14020353 (registering DOI) - 8 Feb 2025
Abstract
Anaerobic digestion (AD) is a waste-to-energy strategy that leverages natural microbiological processes. It is increasingly used in farms to treat manure, resulting in biogas for energy production and digestate as fertiliser. However, animal manure often contains antibiotic (AB) residues, raising concerns about their [...] Read more.
Anaerobic digestion (AD) is a waste-to-energy strategy that leverages natural microbiological processes. It is increasingly used in farms to treat manure, resulting in biogas for energy production and digestate as fertiliser. However, animal manure often contains antibiotic (AB) residues, raising concerns about their impact on AD efficiency and their potential spread through digestate use. This multidisciplinary study evaluated the effects of an AB mixture (enrofloxacin, ciprofloxacin and sulfamethoxazole) on CH4 production, microbial community (Fungi, Bacteria and Archaea) dynamics and antibiotic resistance gene (ARG) presence. The experiment used a cattle manure/digestate ratio of 1:35, typical of real digesters, with AB concentrations set at low (2.5 mg kg−1 each) and high (7.5 mg kg−1 each) levels. The ABs affected cumulative CH4 production (ranging from 5939 to 6464 mL) only at the highest concentration. After 51 days, sulfamethoxazole reached residual levels, while enrofloxacin and ciprofloxacin were only partially degraded (<50%), but ARGs were significantly reduced. The microbial community, particularly prokaryotes, exhibited resilience, maintaining efficient CH4 production. Overall findings strongly suggest that AD is an effective treatment for producing energy and good fertiliser, also reducing AB and ARG content as well as mitigating CH4 emissions into the atmosphere. Full article
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22 pages, 327 KiB  
Article
External and Internal Threats to the Freedom of Religion or Belief of Indigenous Peoples in Latin America
by Dennis P. Petri and Jason Klocek
Religions 2025, 16(2), 209; https://doi.org/10.3390/rel16020209 (registering DOI) - 8 Feb 2025
Abstract
Indigenous Peoples in Latin America face a dual challenge of social vulnerability and violations of freedom of religion or belief (FoRB). Representing 8% of the region’s population yet disproportionately affected by poverty, displacement, and health disparities, these communities also endure persistent religious discrimination—a [...] Read more.
Indigenous Peoples in Latin America face a dual challenge of social vulnerability and violations of freedom of religion or belief (FoRB). Representing 8% of the region’s population yet disproportionately affected by poverty, displacement, and health disparities, these communities also endure persistent religious discrimination—a challenge historically overlooked in policy and scholarship. This article advances the understanding of FoRB violations against Indigenous Peoples by distinguishing between external threats, targeting collective religious practices, and internal threats, undermining individual religious rights. Using a cross-case analysis of Paraguay, Mexico, and Colombia, this study illustrates the varied manifestations of these threats, relying on novel data from interviews, open-source platforms, and the Violent Incidents Database of the Observatory of Religious Freedom in Latin America and the International Institute for Religious Freedom. Focusing on Latin America as a “least likely case” for FoRB violations, the article highlights significant disparities in FoRB protections for Indigenous Peoples, challenging the assumption of Latin America as a region of relative religious freedom. By shedding light on these violations, the study underscores their broader implications for political stability and human rights. The findings call for greater attention to the intersections of religious freedom and Indigenous rights, offering a framework applicable to global contexts. This work also highlights the need for sustained data collection and targeted interventions to address these challenges effectively. Full article
(This article belongs to the Special Issue The Right to Freedom of Religion: Contributions)
14 pages, 657 KiB  
Review
The Many Faces of Protease-Activated Receptor 2 in Kidney Injury
by Yuji Oe, Tetsuhiro Tanaka and Nobuyuki Takahashi
Biomedicines 2025, 13(2), 414; https://doi.org/10.3390/biomedicines13020414 (registering DOI) - 8 Feb 2025
Abstract
Protease-activated receptor 2 (PAR2) is a seven-transmembrane, G-protein-coupled receptor that is activated by coagulation proteases such as factor VIIa and factor Xa and other serine proteases. It is a potential therapeutic target for kidney injury, as it enhances inflammatory and fibrotic responses via [...] Read more.
Protease-activated receptor 2 (PAR2) is a seven-transmembrane, G-protein-coupled receptor that is activated by coagulation proteases such as factor VIIa and factor Xa and other serine proteases. It is a potential therapeutic target for kidney injury, as it enhances inflammatory and fibrotic responses via the nuclear factor-kappa B and mitogen-activated protein kinase cascades. The body of knowledge regarding the role of PAR2 in kidney disease is currently growing, and its role in various kidney disease models, such as acute kidney injury, renal fibrosis, diabetic kidney disease, aging, and thrombotic microangiopathy, has been reported. Here, we review the literature to better understand the various aspects of PAR2 in kidney disease. Full article
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33 pages, 2135 KiB  
Article
Transcription of Clock Genes in Medulloblastoma
by Jerry Vriend and Aleksandra Glogowska
Cancers 2025, 17(4), 575; https://doi.org/10.3390/cancers17040575 (registering DOI) - 8 Feb 2025
Abstract
We investigated the transcription of circadian clock genes in publicly available datasets of gene expression in medulloblastoma (MB) tissues using the R2 Genomics Analysis and Visualization Platform. Differential expression of the core clock genes among the four consensus subgroups of MB (defined in [...] Read more.
We investigated the transcription of circadian clock genes in publicly available datasets of gene expression in medulloblastoma (MB) tissues using the R2 Genomics Analysis and Visualization Platform. Differential expression of the core clock genes among the four consensus subgroups of MB (defined in 2012 as Group 3, Group 4, the SHH group, and the WNT group) included the core clock genes (CLOCK, NPAS2, PER1, PER2, CRY1, CRY2, BMAL1, BMAL2, NR1D1, and TIMELESS) and genes which encode proteins that regulate the transcription of clock genes (CIPC, FBXL21, and USP2). The over-expression of several clock genes, including CIPC, was found in individuals with the isochromosome 17q chromosomal aberration in MB Group 3 and Group 4. The most significant biological pathways associated with clock gene expression were ribosome subunits, phototransduction, GABAergic synapse, WNT signaling pathway, and the Fanconi anemia pathway. Survival analysis of clock genes was examined using the Kaplan–Meier method and the Cox proportional hazards regression model through the R2 Genomics Platform. Two clock genes most significantly related to survival were CRY1 and USP2. The data suggest that several clock proteins, including CRY1 and USP2, be investigated as potential therapeutic targets in MB. Full article
(This article belongs to the Special Issue Circadian Rhythms, Cancers and Chronotherapy)
18 pages, 5900 KiB  
Article
Research on Deflection and Stress Analyses and the Improvement of the Removal Uniformity of Silicon in a Single-Sided Polishing Machine Under Pressure
by Guoqing Ye and Zhenqiang Yao
Micromachines 2025, 16(2), 198; https://doi.org/10.3390/mi16020198 (registering DOI) - 8 Feb 2025
Abstract
The chemical–mechanical polishing (CMP) of silicon wafers involves high-precision surface machining after double-sided lapping. Silicon wafers are subjected to chemical corrosion and mechanical removal under pressurized conditions. The multichip CMP process for 4~6-inch silicon wafers, such as those in MOSFETs (Metal Oxide Semiconductor [...] Read more.
The chemical–mechanical polishing (CMP) of silicon wafers involves high-precision surface machining after double-sided lapping. Silicon wafers are subjected to chemical corrosion and mechanical removal under pressurized conditions. The multichip CMP process for 4~6-inch silicon wafers, such as those in MOSFETs (Metal Oxide Semiconductor Field Effect Transistors), IGBTs (Insulated-Gate Bipolar Transistors), and MEMS (Micro-Electromechanical System) field materials, is conducted to maintain multiple chips to improve efficiency and improve polish removal uniformity; that is, the detected TTV (total thickness variation) gradually increases from 10 μm to less than 3 μm. In this work, first, a mathematical model for calculating the small deflection of silicon wafers under pressure is established, and the limit values under two boundary conditions of fixed support and simple support are calculated. Moreover, the removal uniformity of the silicon wafers is improved by improving the uniformity of the wax-coated adhesion state and adjusting the boundary conditions to reflect a fixed support state. Then, the stress distribution of the silicon wafers under pressure is simulated, and the calculation methods for measuring the TTV of the silicon wafers and the uniformity measurement index are described. Stress distribution is changed by changing the size of the pressure ring to achieve the purpose of removing uniformity. This study provides a reference for improving the removal uniformity of multichip silicon wafer chemical–mechanical polishing. Full article
(This article belongs to the Special Issue Functional Materials and Microdevices, 2nd Edition)
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15 pages, 653 KiB  
Review
Advances in Antibody-Based Immune-Stimulating Drugs: Driving Innovation in Cancer Therapy
by Ren-Jie Zhao and Xing-Xing Fan
Int. J. Mol. Sci. 2025, 26(4), 1440; https://doi.org/10.3390/ijms26041440 (registering DOI) - 8 Feb 2025
Abstract
Antibody-based immune-stimulating drugs (ABIs) represent a transformative frontier in cancer immunotherapy, designed to reshape the tumor microenvironment and overcome immune suppression. This study highlighted recent advances in ABIs, including immune-stimulating antibody conjugates (ISACs), bispecific antibodies (BsAbs), and checkpoint blockade enhancers, with a focus [...] Read more.
Antibody-based immune-stimulating drugs (ABIs) represent a transformative frontier in cancer immunotherapy, designed to reshape the tumor microenvironment and overcome immune suppression. This study highlighted recent advances in ABIs, including immune-stimulating antibody conjugates (ISACs), bispecific antibodies (BsAbs), and checkpoint blockade enhancers, with a focus on their mechanisms of action, clinical advancements, and challenges. Preclinical findings revealed that ISACs effectively boost overall anti-cancer immunity by reprogramming tumor-associated macrophages, enhancing T cell activation, and engaging other immune pathways. Similarly, BsAbs effectively redirect immune cells to tumors, achieving significant tumor regression. Additionally, artificial intelligence (AI) is revolutionizing the development of ABIs by optimizing drug design, identifying novel targets, and accelerating preclinical validation, enabling personalized therapeutic strategies. Despite these advancements, significant challenges remain, including immune resistance and off-target effects. Future research should prioritize next-generation multifunctional antibodies, AI-driven innovations, and combination therapies to enhance efficacy and expand therapeutic applications. Connecting these gaps could unlock the full potential of ABIs, upgrading cancer treatment and improving outcomes for patients with refractory or resistant tumors. Full article
(This article belongs to the Special Issue Immunotherapy: New Developments and Challenges)
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20 pages, 4569 KiB  
Review
Invasive Meningococcal Disease in the Post-COVID World: Patterns of Disease Rebound
by Jamie Findlow, Myint Tin Tin Htar, Rodolfo Villena and Paul Balmer
Vaccines 2025, 13(2), 165; https://doi.org/10.3390/vaccines13020165 (registering DOI) - 8 Feb 2025
Abstract
Invasive meningococcal disease (IMD) is a global health threat with an unpredictable epidemiology that varies regionally and over time. During the COVID-19 pandemic, the Invasive Respiratory Infection Surveillance Consortium reported widespread reductions in bacterial diseases transmitted via the respiratory route, including IMD, that [...] Read more.
Invasive meningococcal disease (IMD) is a global health threat with an unpredictable epidemiology that varies regionally and over time. During the COVID-19 pandemic, the Invasive Respiratory Infection Surveillance Consortium reported widespread reductions in bacterial diseases transmitted via the respiratory route, including IMD, that were associated with the stringency of COVID-19 measures implemented in each country. Here, we report the epidemiology of IMD from the United States, England, France, Australia, and Chile during and after the COVID-19 pandemic. There was a consistent trend in which IMD incidence declined throughout 2020 and into 2021 but began to increase in 2021 (England and Chile) or 2022 (United States, France, and Australia). Case numbers of IMD in France and the United States surpassed pre-pandemic levels by December 2022 and 2023, respectively, whereas in other countries examined, overall cases in 2021/2022 or 2023 approached but did not exceed pre-pandemic levels. Except for the United States, meningococcal serogroup B was the prominent serogroup of post-pandemic re-emergence, although substantial increases in serogroup Y and W disease in France in 2022 and serogroup W disease in Chile in 2023 were also observed. In the United States, where meningococcal vaccination coverage did not decline during the pandemic, the rebound in cases was predominantly due to serogroups C, Y, and nongroupable serogroups. The data indicate that surveillance of IMD cases, associated serogroups, and vaccination uptake is essential for monitoring the effectiveness of disease prevention strategies and guiding future public health policy. Full article
44 pages, 4882 KiB  
Article
Determining the Optimal Level of Service of the Airport Passenger Terminal for Low-Cost Carriers Using the Analytical Hierarchy Process
by Jelena Pivac, Igor Štimac, Dajana Bartulović and Andrija Vidović
Appl. Sci. 2025, 15(4), 1734; https://doi.org/10.3390/app15041734 (registering DOI) - 8 Feb 2025
Abstract
Based on the projected growth in passenger air traffic and the need for better utilization of existing capacities, the level of service (LOS) concept in the design and planning of airport terminal facilities is crucial. By monitoring and quickly responding to expected changes [...] Read more.
Based on the projected growth in passenger air traffic and the need for better utilization of existing capacities, the level of service (LOS) concept in the design and planning of airport terminal facilities is crucial. By monitoring and quickly responding to expected changes in passengers’ and airlines’ needs, better utilization of airport terminal facilities in the passenger terminal can be achieved. The factors that influence the level of service (LOS) from the passenger perspective were evaluated in order to improve the user experience. Definitions of the level of service, key indicators of customer satisfaction, and a decision-making process using the analytical hierarchy process (AHP) method are described. A survey questionnaire was developed, passengers’ preferences were collected, and an analysis of the results was conducted. A hierarchical AHP decision-making model with associated criteria and sub-criteria was developed to determine the optimal level of service for low-cost carriers. Finally, by using the AHP model, new spatial–temporal parameters for the optimal level of service (LOS) for low-cost carriers (LCCs) are proposed, developed, and presented. The main objective is to adjust the existing LOS concept considering the business characteristics of low-cost carriers, in order to improve the efficiency of airport terminal facilities. Full article
(This article belongs to the Section Transportation and Future Mobility)
18 pages, 5237 KiB  
Article
Insights on Morphology and Thermal Stability of Hollow Pt Nanospheres by In Situ Environmental TEM
by Josephine Rezkallah, Xavier Sauvage, Bernhard Witulski and Simona Moldovan
Molecules 2025, 30(4), 792; https://doi.org/10.3390/molecules30040792 (registering DOI) - 8 Feb 2025
Abstract
The fields of catalysis and energy storage nowadays quote the use of nanomaterials with well-defined size, morphology, chemical composition, and thermal stability in the high-temperature range and under harsh conditions of reactions. We present herein an approach based on in situ environmental scanning [...] Read more.
The fields of catalysis and energy storage nowadays quote the use of nanomaterials with well-defined size, morphology, chemical composition, and thermal stability in the high-temperature range and under harsh conditions of reactions. We present herein an approach based on in situ environmental scanning transmission electron microscopy (STEM), combined with analytical STEM and electron tomography (ET), for the evaluation of the thermal stability of hollow Pt nanospheres under vacuum and high-pressure hydrogen environments. Spherical Pt hollow nanospheres (HNSs) with an average diameter of 15 and 34 nm were synthesized by a galvanic replacement-based procedure using either steep or continuous addition of Pt salts during synthesis. The as-synthesized HNSs exhibit complex 3D structures with shells of a few nm constituted by small Pt nanoparticles and marked by the presence of open channels. The thermal stability of Pt-based HNSs under TEM vacuum and 1 bar of hydrogen flow is reported by considering microstructural changes, e.g., the build-up of a continuous shell and its evolution until HNSs collapse at elevated temperatures (>500 °C). Experimental findings are discussed considering fundamental phenomenological issues, i.e., NP faceting, NP diffusion, and subsequent NP sintering, with respect to the behavior of the systems investigated. Full article
(This article belongs to the Special Issue Catalysts: New Materials for Green Chemistry)
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26 pages, 12710 KiB  
Article
Coupling and Coordination Relationship Between Carbon Emissions from Land Use and High-Quality Economic Development in Inner Mongolia, China
by Min Gao, Zhifeng Shao, Lei Zhang, Zhi Qiao, Yongkui Yang and Lin Zhao
Land 2025, 14(2), 354; https://doi.org/10.3390/land14020354 (registering DOI) - 8 Feb 2025
Abstract
Taking Inner Mongolia as a case, this study systematically analyzes the coupling and coordination relationship between carbon emissions from land use (CELU) and high-quality economic development (HQED). The aim is to provide empirical support and policy inspiration for archiving the “dual carbon” goal [...] Read more.
Taking Inner Mongolia as a case, this study systematically analyzes the coupling and coordination relationship between carbon emissions from land use (CELU) and high-quality economic development (HQED). The aim is to provide empirical support and policy inspiration for archiving the “dual carbon” goal and HQED strategy in border areas. Panel data from 12 cities in Inner Mongolia from 2000 to 2020 were selected. We established an evaluation index system for CELU and HQED using the entropy-weight TOPSIS method and scientifically evaluated the level of HQED. We applied exploratory spatial data analysis, topic decoupling, coupling coordination degree (CCD), and geographic detector models to comprehensively analyze the coupling coordination status and spatial heterogeneity of CELU and HQED. The driving factors affecting CCD were explored in detail. Although the total CELU in Inner Mongolia has increased, its growth rate has slowed significantly. The CCD of CELU and HQED was low, and an obvious spatial disequilibrium was observed. Seven key factors, including land-use structure, efficiency, and energy intensity, have significant driving effects on the CCD. To support supply-side structural reform, promote HQED, and achieve emission reduction and green development goals, we offer a series of policy recommendations: promote the transformation of resource-based cities, optimize the energy structure, promote industrial structure upgrading, strengthen scientific and technological innovation and green technology applications, and improve regional cooperation and policy coordination. This study reveals the internal relationship between CELU and HQED and provides practical and instructive countermeasures and suggestions for the sustainable development of border areas, such as Inner Mongolia, which have important reference value for promoting the green transformation of regional economies and achieving the “dual carbon” goal. Full article
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13 pages, 2904 KiB  
Review
Three-Dimensional Surgical Guides in Orthodontics: The Present and the Future
by Silvia Izabella Pop, Eugen Bud, Kinga Mária Jánosi, Anamaria Bud and Bernadette Kerekes-Máthé
Dent. J. 2025, 13(2), 74; https://doi.org/10.3390/dj13020074 (registering DOI) - 8 Feb 2025
Abstract
Surgical guides are integral tools in orthodontics, enhancing the precision and predictability of mini-implant placement. These guides facilitate accurate positioning, reduce risks to surrounding anatomical structures, and ensure proper angulation and depth during procedures. The aim of the present paper is to present [...] Read more.
Surgical guides are integral tools in orthodontics, enhancing the precision and predictability of mini-implant placement. These guides facilitate accurate positioning, reduce risks to surrounding anatomical structures, and ensure proper angulation and depth during procedures. The aim of the present paper is to present a detailed review of the surgical guides used in orthodontics, focusing on their classification, mechanical properties, biocompatibility, and future developments. The advantages, disadvantages, clinical steps, and implications are also described based on the data in recent scientific literature. Future developments may incorporate artificial intelligence and augmented reality, further optimizing treatment planning and patient outcomes, thus solidifying the role of surgical guides in efficient orthodontic care. Full article
(This article belongs to the Special Issue Orthodontics and New Technologies: 2nd Edition)
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19 pages, 4386 KiB  
Article
Study of Construction of Innovative Barite/Waterborne Polyurethane/Low-Density Polyethylene Composites for Enhanced X-Ray Shielding Performance
by Xi Xu, Shujin Shi, Xianrong Yang, Huan Shuai, Gaoxiang Du and Jiao Wang
Polymers 2025, 17(4), 451; https://doi.org/10.3390/polym17040451 (registering DOI) - 8 Feb 2025
Abstract
X-rays’ high-energy nature poses risks to human health. Traditional X-ray shielding materials often contain toxic lead and have drawbacks like bulkiness and rigidity. Consequently, there is an increasing need to develop lightweight, non-toxic, flexible, and efficient shielding materials. In this study, we modified [...] Read more.
X-rays’ high-energy nature poses risks to human health. Traditional X-ray shielding materials often contain toxic lead and have drawbacks like bulkiness and rigidity. Consequently, there is an increasing need to develop lightweight, non-toxic, flexible, and efficient shielding materials. In this study, we modified barite with waterborne polyurethane (WPU) and systematically investigated the effects of WPU on barite’s properties. The modification with WPU not only reduced the tendency of barite (B) to agglomerate but also enhanced its compatibility with polymers, thereby significantly improving the mechanical properties of LDPE/WPU-B composites. Compared to unmodified barite in LDPE/B composites, the tensile and flexural modulus of the LDPE/WPU-B composites increased by 22.31% and 29.64%, respectively. With 20% WPU-modified barite, the radiation shielding efficiency increased by 5%. When the WPU-B content reached 40%, the shielding efficiency of the LDPE/WPU-B composite exceeded 90% for tube voltages ranging from 60 kV to 120 kV, achieving a lead equivalent of 0.38 mmPb at 100 kV. This novel LDPE/WPU-B composite has great potential for low-dose radiation shielding applications. Full article
(This article belongs to the Section Polymer Composites and Nanocomposites)
24 pages, 25381 KiB  
Article
Curved-Layer Slicing and Continuous Path Planning for Multi-Axis Printing of Fiber-Reinforced Composite Structures
by Yamin Li, Chenyang Shi and Xin Yan
Processes 2025, 13(2), 473; https://doi.org/10.3390/pr13020473 (registering DOI) - 8 Feb 2025
Abstract
Fiber-reinforced composite (FRC) additive manufacturing technologies have successfully overcome the limitations of traditional autoclave forming, offering significantly enhanced design freedom. However, one of the remaining key challenges is the planning of continuous printing paths that align with a defined fiber orientation vector field [...] Read more.
Fiber-reinforced composite (FRC) additive manufacturing technologies have successfully overcome the limitations of traditional autoclave forming, offering significantly enhanced design freedom. However, one of the remaining key challenges is the planning of continuous printing paths that align with a defined fiber orientation vector field within FRC structures. This paper introduces a comprehensive framework for multi-axis curved-layer printing of 3D FRC parts. First, a novel multi-axis curved-layer slicing method based on deformed space mapping is proposed. This approach ensures that the sliced curved layers are as parallel as possible to the intended fiber orientations, improving the alignment between the printing process and fiber direction. Next, a vector field-driven printing path planning method for each curved layer is developed, which guarantees that the generated printing paths conform to the specified fiber orientations while also ensuring continuous material deposition. Additionally, a new algorithm for generating support structures tailored to curved layers is proposed, preventing material collapse during the printing process. The effectiveness of the proposed slicing method, path planning, and support structure generation are validated through extensive experiments and simulations, demonstrating their potential to significantly improve the performance and versatility of FRC additive manufacturing. Full article
(This article belongs to the Special Issue Advanced Manufacturing Processes of Composite Materials)
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12 pages, 247 KiB  
Article
Interactions Between BMP2/BMP4 Gene Polymorphisms and Fluoride Exposure on Essential Hypertension: A Cross-Sectional Study in China
by Yue Gao, Qingbo Wang, Junhua Wu, Yang Liu, Xin Wang, Yanhui Gao and Yanmei Yang
Toxics 2025, 13(2), 126; https://doi.org/10.3390/toxics13020126 (registering DOI) - 8 Feb 2025
Abstract
(1) Objective: To evaluate the relationship between fluoride exposure, interactions of BMP2/BMP4 gene polymorphisms, and fluoride exposure on essential hypertension. (2) Methods: A cross-sectional study was conducted among 725 participants in a high-fluoride region of Shanxi Province, China. Urinary fluoride concentrations were measured [...] Read more.
(1) Objective: To evaluate the relationship between fluoride exposure, interactions of BMP2/BMP4 gene polymorphisms, and fluoride exposure on essential hypertension. (2) Methods: A cross-sectional study was conducted among 725 participants in a high-fluoride region of Shanxi Province, China. Urinary fluoride concentrations were measured as indicators of fluoride exposure. Hypertension was diagnosed based on standard guidelines. BMP2 (rs1005464) and BMP4 (rs17563) polymorphisms were genotyped. Logistic regression and interaction models were performed to evaluate associations and interactions between fluoride exposure, gene polymorphisms, and hypertension. (3) Results: Higher urinary fluoride concentrations were significantly associated with an increased risk of hypertension, exhibiting a dose-dependent relationship. The rs1005464 (G > A) polymorphism of BMP2 was identified as a protective factor against hypertension in individuals with the AG + AA genotype. Significant interactions were observed between the BMP2 rs1005464 and BMP4 rs17563 polymorphisms, influencing hypertension risk. Additionally, both multiplicative and additive interactions between high fluoride exposure and the BMP4 rs17563 polymorphism were identified, highlighting the combined impact of environmental and genetic factors on hypertension. (4) Conclusions: Fluoride exposure is positively associated with hypertension. BMP2 gene polymorphisms affect the risk of hypertension, and BMP4 gene polymorphisms may modify the impact of fluoride on hypertension. Full article
6 pages, 177 KiB  
Editorial
On the Entanglements of Heritage—Afterword to the Special Issue Sacred Heritage: Religions and Material Culture
by Simon Coleman
Religions 2025, 16(2), 207; https://doi.org/10.3390/rel16020207 (registering DOI) - 8 Feb 2025
Abstract
A sign of a productive sub-field is that it can develop ramifying links with other areas of research whilst retaining the distinctiveness that first brought it into being [...] Full article
(This article belongs to the Special Issue Sacred Heritage: Religions and Material Culture)
22 pages, 9584 KiB  
Article
Synthesis and Evaluation of 68Ga- and 177Lu-Labeled [diF-Pro14]Bombesin(6−14) Analogs for Detection and Radioligand Therapy of Gastrin-Releasing Peptide Receptor-Expressing Cancer
by Lei Wang, Chao-Cheng Chen, Devon Chapple, Antonio A. W. L. Wong, Sara Kurkowska, Wing Sum Lau, Carlos F. Uribe, François Bénard and Kuo-Shyan Lin
Pharmaceuticals 2025, 18(2), 234; https://doi.org/10.3390/ph18020234 (registering DOI) - 8 Feb 2025
Abstract
Background/Objectives: Overexpressed in various solid tumors, the gastrin-releasing peptide receptor (GRPR) is a promising target for cancer diagnosis and therapy. However, the high pancreas uptake of the current clinically evaluated GRPR-targeted radiopharmaceuticals limits their applications. In this study, we replaced the Pro14 [...] Read more.
Background/Objectives: Overexpressed in various solid tumors, the gastrin-releasing peptide receptor (GRPR) is a promising target for cancer diagnosis and therapy. However, the high pancreas uptake of the current clinically evaluated GRPR-targeted radiopharmaceuticals limits their applications. In this study, we replaced the Pro14 residue in our previously reported GRPR-targeted LW02056 and ProBOMB5 with 4,4-difluoroproline (diF-Pro) to obtain an agonist LW02060 (DOTA-Pip-[D-Phe6,Tle10,NMe-His12,diF-Pro14]Bombesin(6–14)) and an antagonist LW02080 (DOTA-Pip-[D-Phe6,NMe-Gly11,Leu13(ψ)diF-Pro14]Bombesin(6–14)), respectively. Methods/Results: The binding affinities (Ki) of Ga-LW02060, Ga-LW02080, Lu-LW02060, and Lu-LW02080 were measured by in vitro competition binding assays using PC-3 cells and were found to be 5.57 ± 2.47, 21.7 ± 6.69, 8.00 ± 2.61, and 32.1 ± 8.14 nM, respectively. The 68Ga- and 177Lu-labeled ligands were obtained in 36–75% decay-corrected radiochemical yields with >95% radiochemical purity. PET imaging, SPECT imaging, and ex vivo biodistribution studies were conducted in PC-3 tumor-bearing mice. Both [68Ga]Ga-LW02060 and [68Ga]Ga-LW02080 enabled clear tumor visualization in PET images at 1 h post-injection (pi). Tumor uptake values of [68Ga]Ga-LW02060 and [68Ga]Ga-LW02080 at 1 h pi were 16.8 ± 2.70 and 7.36 ± 1.33 %ID/g, respectively, while their pancreas uptake values were 3.12 ± 0.89 and 0.38 ± 0.04 %ID/g, respectively. Compared to [177Lu]Lu-LW02080, [177Lu]Lu-LW02060 showed higher tumor uptake at all time points (1, 4, 24, 72, and 120 h pi). However, fast tumor clearance was observed for both [177Lu]Lu-LW02060 and [177Lu]Lu-LW02080. Conclusions: Our data demonstrate that [68Ga]Ga-LW02060 is promising for clinical translation for the detection of GRPR-expressing tumor lesions. However, further optimizations are needed for [177Lu]Lu-LW02060 and [177Lu]Lu-LW02080 to prolong tumor retention for therapeutic applications. Full article
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22 pages, 5493 KiB  
Article
Arsenic Accumulation in Pakchoi Influenced by Acidification-Driven Changes in Soil Properties and Arsenic Transformation
by Jianjie Chen, Zhenmao Jiang and Shiqiang Wei
Agriculture 2025, 15(4), 364; https://doi.org/10.3390/agriculture15040364 (registering DOI) - 8 Feb 2025
Abstract
Soil acidification activates most of the cationic heavy metals in soil and thus enhances their accumulation in crops, posing an accentuated threat to human health, while there is limited knowledge regarding the accumulation of metalloid arsenic (As) in crops, which is influenced by [...] Read more.
Soil acidification activates most of the cationic heavy metals in soil and thus enhances their accumulation in crops, posing an accentuated threat to human health, while there is limited knowledge regarding the accumulation of metalloid arsenic (As) in crops, which is influenced by acidification due to its opposite behavior in soil. In this study, the acidification processes of neutral purple soil together with the accompanied changes in soil properties and As fractionation were examined through a column-leaching experiment. Subsequently, growth and As accumulation in pakchoi (Brassica campestris L.) were investigated under various combinations of soil pH and As pollution levels in a pot experiment. This allowed us to elucidate the mechanisms of As accumulation in pakchoi under the co-stresses of soil acidification and As pollution. The results indicated that soil acidification followed a two-phase process, initially rapid and later slow, with a turning point at a pH of 4.7–4.8. Below this critical pH, the leaching rates of base ions and As accelerated significantly and the decomposition of primary minerals began, primarily from chlorite to green/mesospheric minerals, resulting in a substantial increase in the content of amorphous iron oxide. Meantime, soil As was transformed from highly labile forms, such as non-specifically and specifically adsorbed forms, to less active ones like amorphous hydrous oxide-bound and residual forms, resulting in decreased As availability. In this context, As pollution remarkably delayed the growth of pakchoi, while the influence of acidification on growth only occurred when the soil was acidified to a pH lower than 6, as demonstrated by a substantial biomass reduction at higher As levels and a 41.8% biomass decrease at pH 4.6. Moreover, soil acidification exacerbated the inhibitory effect of As on pakchoi growth. The As contents in the edible parts of pakchoi dramatically increased with the increase in the soil As level, and soil acidification did not mitigate As accumulation in plants via the suppression of soil As availability but rather greatly increased it due to the bioconcentration effect caused by As toxicity. In conclusion, significant interactions existed between soil acidification and As pollution in terms of soil properties and As transformation, leading to comprehensive effects on growth and As accumulation in crops. Full article
(This article belongs to the Section Agricultural Soils)
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22 pages, 5713 KiB  
Article
Impaired Prosodic Processing but Not Hearing Function Is Associated with an Age-Related Reduction in AI Speech Recognition
by Björn Herrmann and Mo Eric Cui
Audiol. Res. 2025, 15(1), 14; https://doi.org/10.3390/audiolres15010014 (registering DOI) - 8 Feb 2025
Abstract
Background/Objectives: Voice artificial intelligence (AI) technology is becoming increasingly common. Recent work indicates that middle-aged to older adults are less able to identify modern AI speech compared to younger adults, but the underlying causes are unclear. Methods: The current study with younger and [...] Read more.
Background/Objectives: Voice artificial intelligence (AI) technology is becoming increasingly common. Recent work indicates that middle-aged to older adults are less able to identify modern AI speech compared to younger adults, but the underlying causes are unclear. Methods: The current study with younger and middle-aged to older adults investigated factors that could explain the age-related reduction in AI speech identification. Experiment 1 investigated whether high-frequency information in speech—to which middle-aged to older adults often have less access due sensitivity loss at high frequencies—contributes to age-group differences. Experiment 2 investigated whether an age-related reduction in the ability to process prosodic information in speech predicts the reduction in AI speech identification. Results: Results for Experiment 1 show that middle-aged to older adults are less able to identify AI speech for both full-bandwidth speech and speech for which information above 4 kHz is removed, making the contribution of high-frequency hearing loss unlikely. Experiment 2 shows that the ability to identify AI speech is greater in individuals who also show a greater ability to identify emotions from prosodic speech information, after accounting for hearing function and self-rated experience with voice-AI systems. Conclusions: The current results suggest that the ability to identify AI speech is related to the accurate processing of prosodic information. Full article
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24 pages, 1092 KiB  
Article
A Simplified Algorithm for a Full-Rank Update Quasi-Newton Method
by Peter Berzi
AppliedMath 2025, 5(1), 15; https://doi.org/10.3390/appliedmath5010015 (registering DOI) - 8 Feb 2025
Abstract
An efficient linearization method for solving a system of nonlinear equations was developed, showing good stability and convergence properties. It uses an unconventional and simple strategy to improve the performance of classic methods by a full-rank update of the Jacobian approximates. It can [...] Read more.
An efficient linearization method for solving a system of nonlinear equations was developed, showing good stability and convergence properties. It uses an unconventional and simple strategy to improve the performance of classic methods by a full-rank update of the Jacobian approximates. It can be considered both as a discretized Newton’s method or as a quasi-Newton method with a full-rank update of the Jacobian approximates. A solution to the secant equation presented earlier was based on the Wolfe-Popper procedure. The secant equation was splitted into two equations by introducing an auxiliary variable. A simplified algorithm is given in this paper for the full-rank update procedure.It directly solves the secant equation with the pseudoinverse of the Jacobian approximate matrix. Numerical examples are shown for demonstration purposes. The convergence and efficiency of the suggested method are discussed and compared with the convergence and efficiency of classic linearization methods. Full article
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21 pages, 12762 KiB  
Article
The Development of a Sorting System Based on Point Cloud Weight Estimation for Fattening Pigs
by Luo Liu, Yangsen Ou, Zhenan Zhao, Mingxia Shen, Ruqian Zhao and Longshen Liu
Agriculture 2025, 15(4), 365; https://doi.org/10.3390/agriculture15040365 (registering DOI) - 8 Feb 2025
Abstract
As large-scale and intensive fattening pig farming has become mainstream, the increase in farm size has led to more severe issues related to the hierarchy within pig groups. Due to genetic differences among individual fattening pigs, those that grow faster enjoy a higher [...] Read more.
As large-scale and intensive fattening pig farming has become mainstream, the increase in farm size has led to more severe issues related to the hierarchy within pig groups. Due to genetic differences among individual fattening pigs, those that grow faster enjoy a higher social rank. Larger pigs with greater aggression continuously acquire more resources, further restricting the survival space of weaker pigs. Therefore, fattening pigs must be grouped rationally, and the management of weaker pigs must be enhanced. This study, considering current fattening pig farming needs and actual production environments, designed and implemented an intelligent sorting system based on weight estimation. The main hardware structure of the partitioning equipment includes a collection channel, partitioning channel, and gantry-style collection equipment. Experimental data were collected, and the original scene point cloud was preprocessed to extract the back point cloud of fattening pigs. Based on the morphological characteristics of the fattening pigs, the back point cloud segmentation method was used to automatically extract key features such as hip width, hip height, shoulder width, shoulder height, and body length. The segmentation algorithm first calculates the centroid of the point cloud and the eigenvectors of the covariance matrix to reconstruct the point cloud coordinate system. Then, based on the variation characteristics and geometric shape of the consecutive horizontal slices of the point cloud, hip width and shoulder width slices are extracted, and the related features are calculated. Weight estimation was performed using Random Forest, Multilayer perceptron (MLP), linear regression based on the least squares method, and ridge regression models, with parameter tuning using Bayesian optimization. The mean squared error, mean absolute error, and mean relative error were used as evaluation metrics to assess the model’s performance. Finally, the classification capability was evaluated using the median and average weights of the fattening pigs as partitioning standards. The experimental results show that the system’s average relative error in weight estimation is approximately 2.90%, and the total time for the partitioning process is less than 15 s, which meets the needs of practical production. Full article
(This article belongs to the Special Issue Modeling of Livestock Breeding Environment and Animal Behavior)
14 pages, 2396 KiB  
Review
Are Mitochondria a Potential Target for Treating β-Thalassemia?
by Elena Di Pierro, Valeria Di Stefano, Margherita Migone De Amicis and Giovanna Graziadei
J. Clin. Med. 2025, 14(4), 1095; https://doi.org/10.3390/jcm14041095 (registering DOI) - 8 Feb 2025
Abstract
The inherited genetic disorder β-thalassemia affects the hematopoietic system and is caused by the low production or absence of adult hemoglobin (HbA). Ineffective erythropoiesis is the hallmark of β-thalassemia pathophysiology and is characterized by an erythropoietin-driven substantial increase in erythroblast proliferation, coupled with [...] Read more.
The inherited genetic disorder β-thalassemia affects the hematopoietic system and is caused by the low production or absence of adult hemoglobin (HbA). Ineffective erythropoiesis is the hallmark of β-thalassemia pathophysiology and is characterized by an erythropoietin-driven substantial increase in erythroblast proliferation, coupled with an increase in late-stage precursor apoptosis, which results in low levels of circulating mature red blood cells (RBCs) and chronic anemia. Mitochondrial dysfunction commonly occurs in these cells because of the increased demand for energy production and the need to manage abnormal hemoglobin chain synthesis. Moreover, several studies have highlighted the importance of gradual mitochondrial clearance for mature erythroid cell production. This review offers an overview of the mitochondrial role in essential cellular processes, particularly those crucial for maintaining RBC health and function. Additionally, recent evidence regarding the contribution of mitochondrial dysfunction to the pathophysiology and severity of β-thalassemia is discussed, along with updated insights into indirect mitochondria-targeting treatments, which present potential pharmacological targets. Full article
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17 pages, 19751 KiB  
Article
Mo-Doped Co3O4 Nanostructures for Enhanced N-Butanol Sensing Performance
by Yanping Chen, Guangfeng Zhang, Jing Ren, Haoyang Xu and Yonghui Jia
Chemosensors 2025, 13(2), 61; https://doi.org/10.3390/chemosensors13020061 (registering DOI) - 8 Feb 2025
Abstract
In this work, Mo-doped Co3O4 nanostructures were synthesized through a simple solvothermal method. To characterize the structures of the pure Co3O4 and Mo-doped Co3O4 samples, a variety of analytical techniques, such as XRD, SAED, [...] Read more.
In this work, Mo-doped Co3O4 nanostructures were synthesized through a simple solvothermal method. To characterize the structures of the pure Co3O4 and Mo-doped Co3O4 samples, a variety of analytical techniques, such as XRD, SAED, TEM, SEM and XPS, were utilized. The analysis of the gas sensing performance indicated that the 1 at% Mo-doped Co3O4 sensor exhibited optimal sensing performance for low concentrations of n-butanol, achieving a notable Rg/Ra ratio of 9.53 at 10 ppm at a lower operating temperature of 150 °C. This performance was approximately four times that of pure Co3O4, with a response time of 81 s and a recovery time of 66 s. Additionally, the sensor also exhibited outstanding gas selectivity and repeatability. The incorporation of Mo significantly improved the catalytic activity and sensitivity of Co3O4, primarily due to the increased formation of oxygen vacancies and the modification of the electronic structure. These changes facilitated more efficient gas adsorption and faster response times. Therefore, the Mo-doped Co3O4 sensor exhibits considerable potential for detecting n-butanol gas. Full article
(This article belongs to the Special Issue Nanomaterial-Based Chemosensors and Biosensors for Smart Sensing)
18 pages, 4348 KiB  
Article
Computer Modelling of Heliostat Fields by Ray-Tracing Techniques: Simulating the Sun
by José Carlos Garcia Pereira, Gonçalo Domingos and Luís Guerra Rosa
Appl. Sci. 2025, 15(4), 1739; https://doi.org/10.3390/app15041739 (registering DOI) - 8 Feb 2025
Abstract
To computer-simulate solar-concentrating facilities, an accurate knowledge of the Sun’s position as a function of latitude, longitude, time and date is required. In this work, it is reported first a simplified description of a general algorithm, developed by the astronomy community to accomplish [...] Read more.
To computer-simulate solar-concentrating facilities, an accurate knowledge of the Sun’s position as a function of latitude, longitude, time and date is required. In this work, it is reported first a simplified description of a general algorithm, developed by the astronomy community to accomplish that. Our implementation of this algorithm (included in our Light Analysis Modelling package) has been successfully validated against well trusted astronomy data. The software was then used to produce a wide range of results for 2024, for two well-known research facilities, the most northern (Jülich, Germany) and the most southern (Protaras, Cyprus) heliostat fields listed in the official SFERA-III EU project. This includes altitude and azimuth data, sunrise and sunset data, analemma curves, angular speed data and geocentric Sun trajectories around the observer’s position. Other ray-tracing techniques are also reported to help simulate the Sun vectors reaching the solar devices. The truly inspiring results obtained show how important this type of software is, from the scientific and industrial point of view, to better understand our relationship with our neighbor star, the Sun. Full article
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19 pages, 13695 KiB  
Article
Anomaly-Aware Tropical Cyclone Track Prediction Using Multi-Scale Generative Adversarial Networks
by He Huang, Difei Deng, Liang Hu and Nan Sun
Remote Sens. 2025, 17(4), 583; https://doi.org/10.3390/rs17040583 (registering DOI) - 8 Feb 2025
Abstract
Tropical cyclones (TCs) frequently encompass multiple hazards, including extreme winds, intense rainfall, storm surges, flooding, lightning, and tornadoes. Accurate methods for forecasting TC tracks are essential to mitigate the loss of life and property associated with these hazards. Despite significant advancements, accurately forecasting [...] Read more.
Tropical cyclones (TCs) frequently encompass multiple hazards, including extreme winds, intense rainfall, storm surges, flooding, lightning, and tornadoes. Accurate methods for forecasting TC tracks are essential to mitigate the loss of life and property associated with these hazards. Despite significant advancements, accurately forecasting the paths of TCs remains a challenge, particularly when they interact with complex land features, weaken into remnants after landfall, or are influenced by abnormal satellite observations. To address these challenges, we propose a generative adversarial network (GAN) model with a multi-scale architecture that processes input data at four distinct resolution levels. The model is designed to handle diverse inputs, including satellite cloud imagery, vorticity, wind speed, and geopotential height, and it features an advanced center detection algorithm to ensure precise TC center identification. Our model demonstrates robustness during testing, accurately predicting TC paths over both ocean and land while also identifying weak TC remnants. Compared to other deep learning approaches, our method achieves superior detection accuracy with an average error of 41.0 km for all landfalling TCs in Australia from 2015 to 2020. Notably, for five TCs with abnormal satellite observations, our model maintains high accuracy with a prediction error of 35.2 km, which is a scenario often overlooked by other approaches. Full article
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