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21 pages, 7960 KB

Open AccessArticle

Production of a Dulaglutide Analogue by Apoptosis-Resistant Chinese Hamster Ovary Cells in a 3-Week Fed-Batch Process

by Rolan R. Shaifutdinov, Maria V. Sinegubova, Ivan I. Vorobiev, Polina E. Prokhorova, Alexey B. Podkorytov and Nadezhda A. Orlova

Pharmaceuticals 2025, 18(12), 1896; https://doi.org/10.3390/ph18121896 - 16 Dec 2025

Abstract

Background: Dulaglutide, a GLP-1-IgG4 Fc fusion, is a long-acting GLP-1 receptor agonist used for type 2 diabetes therapy and other emerging indications. It is produced commercially in Chinese hamster ovary (CHO) cells. The supply of the original drug is now limited in some [...] Read more.

Background: Dulaglutide, a GLP-1-IgG4 Fc fusion, is a long-acting GLP-1 receptor agonist used for type 2 diabetes therapy and other emerging indications. It is produced commercially in Chinese hamster ovary (CHO) cells. The supply of the original drug is now limited in some regions, so creation of highly productive biosimilar manufacturing platforms is important. Methods: Two expression plasmids (p1.1-Tr2-Dul, p1.2-GS-Dul) encoding dulaglutide were sequentially transfected into apoptosis-resistant CHO 4BGD cells. Two-step transgene amplifications with methotrexate (MTX), followed by methionine sulfoximine (MSX) selection and subsequent cell cloning pipeline, were employed. Candidate clonal cell lines were selected using fed-batch culturing and long-term productivity testing. Results: Transfection with a second plasmid encoding glutamine synthetase (p1.2-GS-Dul) and selection with MSX resulted in a further ~30% increase titer in polyclonal population even after MTX-driven amplification. Top clone 4BGD/Dul #73 reached 1.05 g/L product titer in fed-batch culture (qP up to 22 pg·cell⁻¹·day⁻¹) and remained stable for 69 days in medium without MTX/MSX. Size exclusion-high-performance liquid chromatography showed ≥95% monomer; EC₅₀ of the purified GLP-1-Fc in a GLP-1R/CRE-Luc assay was 52 pM for the obtained product versus 76 pM for the original reference drug. Conclusions: The sequential transfection and dual-marker selection approach enables the efficient generation of a robust, high-yield, and glutamine-independent CHO producer, representing a productive strategy suitable for industrial biosimilar development. Full article

(This article belongs to the Section Pharmaceutical Technology)

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19 pages, 376 KB

Open AccessArticle

Net Rural Migration Classification in Colombia Using Supervised Decision Tree Algorithms

by Juan M. Sánchez, Helbert E. Espitia and Cesar L. González

Algorithms 2025, 18(12), 797; https://doi.org/10.3390/a18120797 - 16 Dec 2025

Abstract

This study presents a decision tree model-based approach to classify rural net migration across Colombian departments using sociodemographic and economic variables. In the model formulation, immigration is considered the movement of people to a destination area to settle there, while emigration is the [...] Read more.

This study presents a decision tree model-based approach to classify rural net migration across Colombian departments using sociodemographic and economic variables. In the model formulation, immigration is considered the movement of people to a destination area to settle there, while emigration is the movement of people from that specific area to other places. The target variable was defined as a binary category representing positive (when the immigration is greater than emigration) or negative net migration. Four classification models were trained and evaluated: Decision Tree, Random Forest, AdaBoost, and XGBoost. Data were preprocessed using cleaning techniques, categorical variable encoding, and class balance assessment. Model performance was evaluated using various metrics, including accuracy, precision, sensitivity,

F_{1}

score, and the area under the ROC curve. The results show that Random Forest achieves the highest accuracy, precision, sensitivity, and F1 score in the 10-variable and 15-variable settings, while XGBoost is competitive but not dominant. Furthermore, the importance of the model was analyzed to identify key factors influencing migration patterns. This approach allows for a more precise understanding of regional migration dynamics in Colombia and can serve as a basis for designing informed public policies. Full article

(This article belongs to the Special Issue Algorithms in Data Classification (3rd Edition))

28 pages, 460 KB

Open AccessArticle

Polarization and Segmentation of Public Attitudes Toward Renewable Energy: A Cluster Analysis of Polish Consumers

by Marcin Suder, Małgorzata Okręglicka, Joanna Duda, Karolina Jakóbik, Zuzanna Piwowarczyk and Jarosław Korpysa

Energies 2025, 18(24), 6581; https://doi.org/10.3390/en18246581 - 16 Dec 2025

Abstract

Public attitudes toward renewable energy sources (RES) have been widely studied at the household level. However, less is known about how citizens differ in their broader perceptions, knowledge, and behavioral orientations toward renewable energy. This study explores such heterogeneity within Polish society using [...] Read more.

Public attitudes toward renewable energy sources (RES) have been widely studied at the household level. However, less is known about how citizens differ in their broader perceptions, knowledge, and behavioral orientations toward renewable energy. This study explores such heterogeneity within Polish society using survey data from a representative sample of 974 respondents. An exploratory factor analysis identified six dimensions of renewable energy attitudes: environmental concern, knowledge and awareness, social and economic support, perceived ease of use, perceived benefits, and behavioral intentions. Using these attitudinal dimensions, cluster analysis revealed two distinct consumer segments that differ in their overall level of engagement with renewable energy. The first cluster comprises pro-green and engaged individuals who express strong concern for environmental issues, have a greater awareness of the benefits of renewable energy, and are more ready to adopt such technologies. The second cluster represents respondents who are less engaged or skeptical, with weaker environmental and behavioral commitment. The comparison of sociodemographic characteristics across clusters showed no statistically significant differences in gender, age, education, or place of residence, and only a marginal effect for income. The findings suggest that support for renewable energy in Poland is not driven by demographics but somewhat shaped by cognitive and value-based factors, offering valuable insights for policymakers and communication strategists promoting the energy transition. Full article

(This article belongs to the Special Issue From Consumer Behavior to Business Innovation: Paths to a Sustainable Energy Future)

20 pages, 3619 KB

Open AccessArticle

Microtopography-Driven Soil Loss in Loess Slopes Based on Surface Heterogeneity with BPNN Prediction

by Lin Chen, Yiting Song, Jie Lin, Qinqian Meng and Jian Wang

Agriculture 2025, 15(24), 2602; https://doi.org/10.3390/agriculture15242602 - 16 Dec 2025

Abstract

Microtopography regulates soil erosion by shaping surface heterogeneity, but the mechanism of loess slope soil loss remains insufficiently quantified. This study combined laboratory rainfall simulations and machine learning to investigate how tillage-induced microtopography modulates soil loss through surface heterogeneity and hydrodynamic processes. Simulations [...] Read more.

Microtopography regulates soil erosion by shaping surface heterogeneity, but the mechanism of loess slope soil loss remains insufficiently quantified. This study combined laboratory rainfall simulations and machine learning to investigate how tillage-induced microtopography modulates soil loss through surface heterogeneity and hydrodynamic processes. Simulations used loess soil (silty loam) with a 5° slope, 60 mm/h rainfall intensity, and 5–30 min rainfall durations (RD). Results indicated that the mean weight diameter (MWD) and aggregate stability index (ASI) of structural, transition, and depositional crusts under micro-terrain decreased by 36~65% and 41~60%, respectively, while the fractal dimension (D) increased by 10~19%. Negative relationships were observed between ASI/MWD and D (R² = 0.83~0.98). Horizontal cultivation (T_HC, surface roughness [SR] = 1.76, average depression storage [ADS] = 2.34 × 10⁻² m³) delayed runoff connectivity and reduced cumulative soil loss (LS) by 42–58% compared to hoeing cultivation (T_HE, SR = 1.47, ADS = 3.23 × 10⁻⁴ m³). Abrupt hydrodynamic transitions occurred at 10 min RD (T_HE) and 15 min RD (artificial digging [T_AD]), driven by trench connectivity and depression overflow. LS exhibited a significant positive correlation with D and RD and was inversely correlated with ASI, MWD, and SR. A three-hidden-layer BPNN exhibited high predictive accuracy for LS (mean square error = 0.07), verifying applicability in complex scenarios with significant microtopographic heterogeneity and multi-factor coupling. This study demonstrated that surface roughness and depression storage were the dominant microtopographic controls on loess slope soil loss. BPNN provided a reliable tool for soil loss prediction in heterogeneous microtopographic systems. The findings provide critical insights into optimizing tillage-based soil conservation strategies for sloping loess farmlands. Full article

(This article belongs to the Special Issue Advancements in Best Management Practices for Enhancing Soil Health and Water Quality)

25 pages, 2720 KB

Open AccessReview

Deciphering the Role of Mast Cells in HPV-Related Cancers

by Zyanya P. Espinosa-Riquer, J. Omar Muñoz-Bello, Claudia González-Espinosa, Alfredo Ibarra-Sánchez and Marcela Lizano

Int. J. Mol. Sci. 2025, 26(24), 12110; https://doi.org/10.3390/ijms262412110 - 16 Dec 2025

Abstract

Human Papillomavirus (HPV)-related cancers constitute a major global health problem, accounting for 4.5% of all human cancers. Studying the composition of the tumor microenvironment (TME) of HPV-related cancers may help develop therapeutic strategies or identify prognostic biomarkers with potential clinical significance. Among all [...] Read more.

Human Papillomavirus (HPV)-related cancers constitute a major global health problem, accounting for 4.5% of all human cancers. Studying the composition of the tumor microenvironment (TME) of HPV-related cancers may help develop therapeutic strategies or identify prognostic biomarkers with potential clinical significance. Among all the components of TME, mast cells (MCs) appear to be particularly relevant in HPV-related tumors. MCs are myeloid-derived immune cells that release a wide range of inflammatory mediators. It is now recognized that these immune cells are important players within the TME, where they can exert both anti- and pro-tumor activities depending on the type of MC-derived inflammatory mediators released. MCs may play an important role in the processes associated with cell transformation, development, and the progression of HPV-associated tumors; however, their specific functions in these neoplasms are not yet fully understood. This review addresses the current state of knowledge on MCs and their contribution to the molecular biology of HPV-related cancers. In addition, it highlights MCs’ roles in the pro- or anti-tumor paradigm and discusses their emerging potential as therapeutic targets or prognostic biomarkers. Full article

(This article belongs to the Special Issue Viral Infections and Cancer: Recent Advances and Future Perspectives)

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19 pages, 4114 KB

Open AccessArticle

Assessment of Short-Term Sediment Deposition Patterns Along the Palamós Submarine Canyon (NW Mediterranean) Using ²³⁴Th

by Maria Sierks, Sarah Paradis, Montserrat Roca-Martí, Viena Puigcorbé and Pere Puig

J. Mar. Sci. Eng. 2025, 13(12), 2383; https://doi.org/10.3390/jmse13122383 - 16 Dec 2025

Abstract

Sedimentary dynamics in the Palamós Canyon are influenced by river inputs and storm resuspension, as well as by bottom trawling on the canyon flanks. In this study, we estimate recent sediment deposition patterns along the canyon axis using the excess activity concentration of [...] Read more.

Sedimentary dynamics in the Palamós Canyon are influenced by river inputs and storm resuspension, as well as by bottom trawling on the canyon flanks. In this study, we estimate recent sediment deposition patterns along the canyon axis using the excess activity concentration of the short-lived radiotracer ²³⁴Th (half-life of 24.1 days). Sediment cores were obtained at various locations along the canyon axis from a depth of approximately 800 m to 2100 m in June 2023 and August 2024. Excess ²³⁴Th (²³⁴Th_xs) was detected in all sampled sites with variable penetration depths (0.5–3.5 cm). ²³⁴Th_xs-derived estimations of mixing rates decreased downcanyon from up to 15.6 cm² y⁻¹ at the canyon head (~800 m) to negligible mixing at the canyon mouth (~2100 m). ²³⁴Th_xs inventories, a proxy of recent sediment deposition, were high (1800–3490 Bq m⁻²) at the canyon head and at the upper canyon (~1400 m) close to fishing grounds and decreased downcanyon (82–694 Bq m⁻²) at the lower canyon (~1800 m) and canyon mouth. Inventories varied 2-fold across years presumably attributed to enhanced riverine and bottom trawling sediment fluxes. Similar ²³⁴Th-derived sediment deposition patterns can be found in submarine canyons worldwide, highlighting the value of this radiotracer for sedimentary dynamics studies in such complex environments. Full article

(This article belongs to the Section Marine Environmental Science)

12 pages, 290 KB

Open AccessArticle

Prostate Artery Embolization vs. Holmium Laser Enucleation of the Prostate: A Matched Pair Analysis of Functional Outcomes and Complications

by Simon Hannes Friedrich Leschik, Robert Große Siemer, Friedrich-Carl von Rundstedt, Philipp Gild, Christian P. Meyer, Raisa S. Abrams-Pompe, Ulf Teichgraeber, Thomas Lehmann, Susan Foller, Marc-Oliver Grimm and Tobias Franiel

J. Clin. Med. 2025, 14(24), 8906; https://doi.org/10.3390/jcm14248906 - 16 Dec 2025

Abstract

Background: This retrospective matched-pair analysis compared functional outcomes and complications of prostate artery embolization (PAE) using 250 µm microparticles and holmium laser enucleation of the prostate (HoLEP) in patients with lower urinary tract symptoms (LUTS) due to benign prostatic hyperplasia (BPH). Methods [...] Read more.

Background: This retrospective matched-pair analysis compared functional outcomes and complications of prostate artery embolization (PAE) using 250 µm microparticles and holmium laser enucleation of the prostate (HoLEP) in patients with lower urinary tract symptoms (LUTS) due to benign prostatic hyperplasia (BPH). Methods: A total of 69 PAE patients were matched 1:1 to 69 HoLEP patients using propensity scores based on age, prostate volume (PV), and IPSS. Follow-up was standardized at six months for the PAE cohort, while HoLEP outcomes were assessed cross-sectionally (median 52.9 months). All comparisons were therefore interpreted as cross-sectional analyses rather than time-matched outcomes. Secondary endpoints were complications according to the Clavien–Dindo Classification. Results: At baseline, there were no significant differences between PAE and HoLEP regarding IPSS, QoL, or Qmax. Both interventions led to significant within-group improvements in IPSS, QoL, and Qmax (p < 0.001). Between-group comparisons demonstrated significantly greater improvement in IPSS, Qmax, and QoL following HoLEP (all p < 0.05). Erectile function remained stable after PAE and showed a non-significant decrease after HoLEP. Severe complications (Clavien–Dindo ≥ Grade III) were not observed after PAE. These findings should be interpreted considering the study’s main limitations, including the small cohort size, its retrospective matched-pair design, and variability in surgeons’ HoLEP experience. Conclusions: PAE with 250 µm microparticles and HoLEP are both effective and safe procedures. While PAE compared to HoLEP is less effective regarding functional outcome, it showed no difference in QoL improvement and is associated with no greater grade II complications. Full article

(This article belongs to the Section Nephrology & Urology)

28 pages, 1288 KB

Open AccessArticle

Digital Nudges and Environmental Concern in Shaping Sustainable Consumer Behavior Aligned with SDGs 12 and 13

by Nasser Ali M. Khalufi

Sustainability 2025, 17(24), 11292; https://doi.org/10.3390/su172411292 - 16 Dec 2025

Abstract

This paper examines the effects of AI-based digital nudges on consumers’ sustainable purchase intentions and behaviors, using an integrated framework that combines the Technology Acceptance Model (TAM) and the Nudge Theory. Previous studies have demonstrated that digital nudges can stimulate eco-friendly behavior. However, [...] Read more.

This paper examines the effects of AI-based digital nudges on consumers’ sustainable purchase intentions and behaviors, using an integrated framework that combines the Technology Acceptance Model (TAM) and the Nudge Theory. Previous studies have demonstrated that digital nudges can stimulate eco-friendly behavior. However, the interaction between personalization, timing, message framing, cognitive variables like perceived usefulness, and psychological variables such as environmental concern has not been explained. The study employs quantitative research based on SEM-PLS, which explores the relationships between these constructs with a valid response of 810 samples. Personalization, timing of nudges, and framing enhance perceived utility and sustainable purchase intention. Perceived usefulness mediated the relationship between digital nudging and sustainable purchase intention, moderated by environmental concern as a psychological catalyst. These results support the validation of the combined TAM Nudge model, illustrating the role of technology and behavior in fostering sustainability. The implication of the study can support policymakers, marketers, and digital designers in creating ethical AI-based interventions to meet SDG 12 (Responsible Consumption and Production) and SDG 13 (Climate Action), transforming sustainability awareness into a quantifiable behavioral change. Full article

(This article belongs to the Special Issue A Quantitative Analysis and Interdisciplinary Approach to the Sustainable Development Goals)

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25 pages, 2107 KB

Open AccessArticle

Optimal Operation Strategy of Virtual Power Plant Using Electric Vehicle Agent-Based Model Considering Operational Profitability

by Hwanmin Jeong and Jinho Kim

Sustainability 2025, 17(24), 11291; https://doi.org/10.3390/su172411291 - 16 Dec 2025

Abstract

Growing EV adoption is reshaping how Distributed Energy Resources (DERs) interact with the grid, playing a pivotal role in global decarbonization efforts and the transition towards a sustainable energy future. This study built a Virtual Power Plant (VPP) operation framework centered on EV [...] Read more.

Growing EV adoption is reshaping how Distributed Energy Resources (DERs) interact with the grid, playing a pivotal role in global decarbonization efforts and the transition towards a sustainable energy future. This study built a Virtual Power Plant (VPP) operation framework centered on EV behavioral dynamics, connecting individual driving and charging behaviors with the physical and economic layers of energy management. The EV behavioral dynamic model quantifies the stochastic travel, parking, and charging behaviors of individual EVs through an Agent-Based Trip and Charging Chain (AB-TCC) simulation, producing a Behavioral Flexibility Trace (BFT) that represents time-resolved EV availability and flexibility. The Forecasting Model employs a Bi-directional Long Short-Term Memory (Bi-LSTM) network trained on historical meteorological data to predict short-term renewable generation and represent physical variability. The two-stage optimization model integrates behavioral and physical information with market price signals to coordinate day-ahead scheduling and real-time operation, minimizing procurement costs and mitigating imbalance penalties. Simulation results indicate that the proposed framework yielded an approximately 15% increase in revenue over 7 days through EV-based flexibility utilization. These findings demonstrate that the proposed approach effectively leverages EV flexibility to manage renewable generation variability, thereby enhancing both the profitability and operational reliability of VPPs in local distribution systems. This facilitates greater penetration of intermittent renewable energy sources, accelerating the transition to a low-carbon energy system. Full article

(This article belongs to the Special Issue Sustainable Innovations in Electric Vehicle Technology)

33 pages, 721 KB

Open AccessArticle

Selecting Feature Subsets in Continuous Flow Network Attack Traffic Big Data Using Incremental Frequent Pattern Mining

by Sikha S. Bagui, Andrew Benyacko, Dustin Mink, Subhash C. Bagui and Arijit Bagchi

Algorithms 2025, 18(12), 795; https://doi.org/10.3390/a18120795 - 16 Dec 2025

Abstract

This work focuses on finding frequent patterns in continuous flow network traffic Big Data using incremental frequent pattern mining. A newly created Zeek Conn Log MITRE ATT&CK framework labeled dataset, UWF-ZeekData24, generated using the Cyber Range at The University of West Florida, was [...] Read more.

This work focuses on finding frequent patterns in continuous flow network traffic Big Data using incremental frequent pattern mining. A newly created Zeek Conn Log MITRE ATT&CK framework labeled dataset, UWF-ZeekData24, generated using the Cyber Range at The University of West Florida, was used for this study. While FP-Growth is effective for static datasets, its standard implementation does not support incremental mining, which poses challenges for applications involving continuously growing data streams, such as network traffic logs. To overcome this limitation, a staged incremental FP-Growth approach is adopted for this work. The novelty of this work is in showing how incremental FP-Growth can be used efficiently on continuous flow network traffic, or streaming network traffic data, where no rebuild is necessary when new transactions are scanned and integrated. Incremental frequent pattern mining also generates feature subsets that are useful for understanding the nature of the individual attack tactics. Hence, a detailed understanding of the features or feature subsets of the seven different MITRE ATT&CK tactics is also presented. For example, the results indicate that core behavioral rules, such as those involving TCP protocols and service associations, emerge early and remain stable throughout later increments. The incremental FP-Growth framework provides a structured lens through which network behaviors can be observed and compared over time, supporting not only classification but also investigative use cases such as anomaly tracking and technique attribution. And finally, the results of this work, the frequent itemsets, will be useful for intrusion detection machine learning/artificial intelligence algorithms. Full article

32 pages, 4624 KB

Open AccessArticle

Transcriptional Activity of Genes Related to the Biotransformation Process in the Development of Colorectal Cancer

by Grażyna Janikowska, Tomasz Janikowski, Aleksandra Kuźbińska, Mieszko Opiłka, Urszula Mazurek and Zbigniew Lorenc

Int. J. Mol. Sci. 2025, 26(24), 12116; https://doi.org/10.3390/ijms262412116 - 16 Dec 2025

Abstract

Colorectal cancer (CRC) remains the third leading cause of mortality among cancer patients in developed countries. Each new study in this field can contribute to better detection, diagnosis, and treatment of this disease. Our study aimed to assess transcriptional activity of genes associated [...] Read more.

Colorectal cancer (CRC) remains the third leading cause of mortality among cancer patients in developed countries. Each new study in this field can contribute to better detection, diagnosis, and treatment of this disease. Our study aimed to assess transcriptional activity of genes associated with the biotransformation of xenobiotics and endobiotics in all three phases in the CRC adenocarcinoma, including correlations between them, as well as the aromatic hydrocarbon receptor (AhR) pathways. Based on transcriptome analysis (1252 mRNAs) of the CRC tissue and healthy colon, the upregulation or downregulation of 46 significant mRNAs was presented. The study also revealed the downregulation of AKR7A2 and upregulation of SLC5A6 and SLC29A2, previously undistinguished and potentially therapeutically valuable in CRC. The diagnostic potential of ADH1C, GGT5, NQO2, and SLC25A5 was demonstrated. It was stated that the AHR, EPHX1, GSTP1, and SLC25A32 did not correlate in healthy intestinal tissue whereas AHCY, ALDH1A1, NNMT, GSTM4, UGT2B17, and SLCO1B3 did not correlate in CRC. The disturbed transcriptional activity of genes related to the biotransformation process at all stages of CRC suggests that this may be the cause of its occurrence; the genes ought to be taken into account in preventive strategies and the treatment of patients. Full article

(This article belongs to the Section Molecular Genetics and Genomics)

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15 pages, 863 KB

Open AccessArticle

Research on the Vibration Characteristics of the Core of Power Transformers Considering the Effect of Transformer Oil

by Zhuoyan Zhong, Yan Li, Zhengyang Tang, Zhanyang Yu, Chengxiang Liu, Guang Li, Shun Yu and Yexing Wang

Electronics 2025, 14(24), 4943; https://doi.org/10.3390/electronics14244943 - 16 Dec 2025

Abstract

Taking a large single-phase generator transformer product as the research object, this paper applied the finite element simulation method to analyze the vibration characteristics of its core. Firstly, through the analysis of vibration theory, the vibration laws and characteristics of the core are [...] Read more.

Taking a large single-phase generator transformer product as the research object, this paper applied the finite element simulation method to analyze the vibration characteristics of its core. Firstly, through the analysis of vibration theory, the vibration laws and characteristics of the core are clarified, and a three-dimensional equivalent model of the transformer is constructed. The B-H curve of the silicon steel sheet is measured through experiments and used for the assignment of the core material when calculating the electromagnetic field later. Then, based on the simulation calculation of multi-physical field coupling, the no-load current on the primary side, the distribution and variation characteristics of the magnetic field inside the core are solved and analyzed. On this basis, the sequential coupling method was adopted to solve the displacement distribution of the core vibration and the displacement changes at different position points and conduct a comparative analysis. Subsequently, the accuracy of the simulation calculation method was verified through the test of a small prototype. Finally, based on the comparison of the dry and wet modal simulation results, the impact of transformer oil on the vibration characteristics of the core was evaluated and analyzed. It can be seen from the analysis that the core vibration is generally more intense at the upper part and corners; the impact of the internal oil flow on the vibration of the body of large transformers is relatively complex and thus cannot be ignored. Full article

19 pages, 2931 KB

Open AccessArticle

Preparation and Characterization of Eel (Anguilla) Bone Collagen Based on Intelligent Algorithm

by Li Yuan, Jiayu Lu, Yingxi Jia, Zitao Guo and Ruichang Gao

Foods 2025, 14(24), 4338; https://doi.org/10.3390/foods14244338 - 16 Dec 2025

Abstract

Eel (Anguilla) is an aquatic animal with high nutritional value and multiple health benefits for the human body. To fully utilize its processing by-products fish bone, this study optimized the enzymatic preparation process of using BP neural network and GA genetic [...] Read more.

Eel (Anguilla) is an aquatic animal with high nutritional value and multiple health benefits for the human body. To fully utilize its processing by-products fish bone, this study optimized the enzymatic preparation process of using BP neural network and GA genetic algorithm, with collagen extraction yield as the key evaluation metric, and characterized the properties of the obtained collagen. The results demonstrated that the optimal extraction conditions for eel bone collagen were as follows: enzyme dosage of 2%, hydrolysis time of 2.65 h, solid-to-liquid ratio of 1:22, and ultrasonic pretreatment for 21 min at 250 W power, achieving an extraction yield of 57.6%. The main amino acids identified were glycine, glutamic acid, proline, and arginine. SDS-PAGE electrophoresis revealed that eel bone collagen exhibited structural characteristics of type I collagen. Raman spectroscopy and X-ray diffraction indicated an intact triple-helix structure with partial ordered features. The DSC and TGA results demonstrated good thermal stability, with a denaturation temperature of 106.73 °C. SEM imaging displayed a loose, porous fibrous network structure, while rheological analysis suggested potential biomedical material properties. The findings of this study provide fundamental data for the high-value utilization and development of eel bone resources. Full article

(This article belongs to the Special Issue Innovative Technology of Aquatic Product Processing)

15 pages, 2335 KB

Open AccessArticle

Tailoring Functionalized Lignin-Based Spherical Resins as Recyclable Adsorbents for Heavy Metal Uptake

by Gao Xiao, Shumin Xie, Bizheng Mao, Hong Chen, Yiwei Xue, Qingmei Xu, Jie Guo and Manna Dai

Polymers 2025, 17(24), 3324; https://doi.org/10.3390/polym17243324 - 16 Dec 2025

Abstract

A novel mesoporous spherical chelating lignin-based adsorbent was successfully synthesized via inverse suspension polymerization using sulfate pine pulping black liquor as raw material, followed by graft copolymerization with acrylonitrile and subsequent amination. The obtained aminated cyanoethyl spherical lignin resin (ACSLR) exhibited a well-defined [...] Read more.

A novel mesoporous spherical chelating lignin-based adsorbent was successfully synthesized via inverse suspension polymerization using sulfate pine pulping black liquor as raw material, followed by graft copolymerization with acrylonitrile and subsequent amination. The obtained aminated cyanoethyl spherical lignin resin (ACSLR) exhibited a well-defined porous morphology and abundant active sites, as confirmed by SEM and FT-IR. Adsorption experiments demonstrated high Pb²⁺ uptake capacity (63.98 mg·g⁻¹) under optimal conditions (pH = 5.5, 2.0 g·L⁻¹ adsorbent dosage, and 150 mg·L⁻¹ initial concentration of Pb²⁺ solution). The adsorption process followed the Langmuir isotherm and pseudo-second-order kinetics, indicating monolayer chemisorption dominated by amino and cyano groups. This work provides a sustainable strategy for valorizing industrial lignin waste into efficient adsorbents for heavy metal removal, highlighting its potential for practical wastewater treatment applications. Full article

(This article belongs to the Section Circular and Green Sustainable Polymer Science)

21 pages, 20035 KB

Open AccessArticle

Camellia Saponin-Enhanced Sodium Alginate Hydrogels for Sustainable Fruit Preservation

by Lisong Hu, Hongdan Rao, Borong Zhu, Menghao Du, Keqin Xu and Haili Gao

Gels 2025, 11(12), 1012; https://doi.org/10.3390/gels11121012 - 16 Dec 2025

Abstract

It is well known that food waste, especially perishable fruits, is one of the pressing issues worldwide, and as much as 50% of harvested fruits are wasted in developing countries as a result of poor preservation methods. Other traditional options such as plastic [...] Read more.

It is well known that food waste, especially perishable fruits, is one of the pressing issues worldwide, and as much as 50% of harvested fruits are wasted in developing countries as a result of poor preservation methods. Other traditional options such as plastic films or chemical preservatives are harmful to the environment and to our health. In this work, the limitations are overcome through the fabrication of an innovative camellia saponin/sodium alginate (CS/SA) composite hydrogel film that not only recycles agricultural waste but also improves fruit protection. CS/SA films were prepared by ionic crosslinking with CaCl₂ with different CS content (0–10% w/v, corresponding to 0–3.1 wt% in air-dried films). Detailed SEM, FTIR, XRD and rheological studies indicated that CS addition led to a gradual microstructural densification, stronger intermolecular interactions (involving hydrogen bonding and electrostatic complexation) and superior viscoelasticity, with the best performance at 8% CS (2.5 wt% in dried film). Mechanical tests confirmed that the stable CS/SA film showed higher tensile strength (152 kPa) and compressive strength (353 kPa) than pure SA (10 kPa) with a relatively low Young’s modulus (0.82 MPa) and high elongation at break (116.33%), which could be easily peeled off from fruit surfaces—an essential benefit of this over stiff chitosan/alginate composites. Structure: The composite film exhibited lower porosity (103.2%), reduced moisture content (94.7%), a controlled swelling ratio (800%) and improved barrier property with a water vapor permeability of 1.3

\times 10^{- 6}

g·m⁻¹·s⁻¹·kPa⁻¹ and an oxygen permeability of 1.9 × cm³

\cdot μ

m·m⁻²·d⁻¹·kPa⁻¹. The 8% CS film showed very strong antioxidant activity (86% DPPH scavenging). Results of application tests on bananas and strawberries indicated that the ripening process was delayed by the CS/SA coatings, the decay rate was decreased from 99.9% (uncoated control) to 55.6% after 9 days, the weight loss was reduced to 29.3%, and the fruit’s firmness and titratable acidity were maintained. This degradable, multifunctional hydrogel film has the potential to be a sustainable measure to simultaneously mitigate food waste, valorize agricultural byproducts, and protect the environment, which could offer substantial benefit for enhancing global food security as well as fruit shelf life. Full article

(This article belongs to the Special Issue Gel-Related Materials: Challenges and Opportunities (2nd Edition))

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15 pages, 1844 KB

Open AccessArticle

An Intelligent Surveillance Framework for Pedestrian Safety Under Low-Illuminance Street Lighting Conditions

by Junhwa Jeong, Kisoo Park, Taekyoung Kim and Wonil Park

Appl. Sci. 2025, 15(24), 13201; https://doi.org/10.3390/app152413201 - 16 Dec 2025

Abstract

This study proposes an intelligent surveillance framework that integrates image preprocessing, illuminance-adaptive object detection, multi-object tracking, and pedestrian abnormal behavior recognition to address the rapid degradation of image recognition performance under low-illuminance street lighting conditions. In the preprocessing stage, image quality was enhanced [...] Read more.

This study proposes an intelligent surveillance framework that integrates image preprocessing, illuminance-adaptive object detection, multi-object tracking, and pedestrian abnormal behavior recognition to address the rapid degradation of image recognition performance under low-illuminance street lighting conditions. In the preprocessing stage, image quality was enhanced by correcting color distortion and contour loss, while in the detection stage, illuminance-based loss weighting was applied to maintain high detection sensitivity even in dark environments. During the tracking process, a Kalman filter was employed to ensure inter-frame consistency of detected objects. In the abnormal behavior recognition stage, temporal motion patterns were analyzed to detect events such as falls and prolonged inactivity in real time. The experimental results indicate that the proposed method maintained an average detection accuracy of approximately 0.9 and adequate tracking performance in the 80% range under low-illuminance conditions, while also exhibiting stable recognition rates across various weather environments. Although slight performance degradation was observed under dense fog or highly crowded scenes, such limitations are expected to be mitigated through sensor fusion and enhanced processing efficiency. These findings experimentally demonstrate the technical feasibility of a real-time intelligent recognition system for nighttime street lighting environments. Full article

(This article belongs to the Section Computing and Artificial Intelligence)

47 pages, 1444 KB

Open AccessSystematic Review

Nutrient and Dissolved Oxygen (DO) Estimation Using Remote Sensing Techniques: A Literature Review

by Androniki Dimoudi, Christos Domenikiotis, Dimitris Vafidis, Giorgos Mallinis and Nikos Neofitou

Remote Sens. 2025, 17(24), 4044; https://doi.org/10.3390/rs17244044 - 16 Dec 2025

Abstract

Eutrophication has emerged as a critical threat to water quality degradation and ecosystem health on a global scale, calling for prompt management actions. Remote sensing enables the monitoring of eutrophication by detected changes in ocean color caused by fluctuations in chlorophyll a (chl [...] Read more.

Eutrophication has emerged as a critical threat to water quality degradation and ecosystem health on a global scale, calling for prompt management actions. Remote sensing enables the monitoring of eutrophication by detected changes in ocean color caused by fluctuations in chlorophyll a (chl a). Although chl a is a crucial indicator of phytoplankton biomass and nutrient overloading, it reflects the outcome of eutrophication rather than its cause. Nutrients, the primary “drivers” of eutrophication, are essential indicators for predicting the potential phytoplankton growth in water bodies, allowing adoption of effective preventive measures. Long-term monitoring of nutrients combined with multiple water quality indicators using remotely sensed data could lead to a more precise assessment of the trophic state. Retrieving non-optically active constituents, such as nutri Full article

(This article belongs to the Special Issue Remote Sensing and Geophysical Tools for Land and Water System Analysis)

27 pages, 3990 KB

Open AccessArticle

Hybrid Droop-Enhanced Virtual Impedance Control for Circulating Current Mitigation and Power Balancing in Parallel SiC Three-Phase Inverters

by Chaoyang Zhang, Zhengcong Du, Yipu Xu, Yi Shi and Fuyuan You

Processes 2025, 13(12), 4066; https://doi.org/10.3390/pr13124066 - 16 Dec 2025

Abstract

Silicon carbide (SiC) three-phase converters are widely adopted in parallel power distribution systems for their high efficiency, yet their performance is challenged by high switching frequency and communication constraints. For the parallel inverter system, problems such as uneven power distribution and circulating current [...] Read more.

Silicon carbide (SiC) three-phase converters are widely adopted in parallel power distribution systems for their high efficiency, yet their performance is challenged by high switching frequency and communication constraints. For the parallel inverter system, problems such as uneven power distribution and circulating current may occur. Therefore, the droop control method was proposed. The droop control method is limited in precise power sharing and circulating current mitigation. To address these issues in the communication-free parallel inverter system, a hybrid droop-enhanced virtual impedance method is proposed. The methodology integrates droop characteristics with frequency-selective virtual impedance compensation, enabling concurrent optimization of power sharing and circulating current suppression. Through simulation, the droop control method and the improved droop control method were compared and analyzed. Finally, the effectiveness of the improved droop control method was verified through experiments. Full article

(This article belongs to the Special Issue Design, Control, Modeling and Simulation of Energy Converters)

19 pages, 2084 KB

Open AccessArticle

Study on the Synergistic Effect of Coal Pillars and Caved Deposits in Chamber-Type Mining of Steeply Inclined Coal Seams

by Zhuo Chen, Shenglin Wu, Jilin Wang, Jibiao Shi, Mingliang Li, Wan Cao and Hao Song

Appl. Sci. 2025, 15(24), 13188; https://doi.org/10.3390/app152413188 - 16 Dec 2025

Abstract

To address the synergistic stability evaluation of coal pillars and caving deposits in room-and-pillar mining of nearly vertical coal seams, this study takes the 101 Coal Mine (104th Regiment, Xishan Area, Urumqi, Xinjiang) as the engineering background. It combines physical similarity simulation and [...] Read more.

To address the synergistic stability evaluation of coal pillars and caving deposits in room-and-pillar mining of nearly vertical coal seams, this study takes the 101 Coal Mine (104th Regiment, Xishan Area, Urumqi, Xinjiang) as the engineering background. It combines physical similarity simulation and theoretical analysis to explore the synergistic bearing mechanism of coal pillars and caved deposits. Based on limit equilibrium theory, a combined instability criterion considering roof mudstone’s bending-toppling and shear-sliding is established; the Rankine earth pressure theory is modified, and a stability coefficient K_s (reflecting synergistic bearing effect) is proposed to realize quantitative evaluation of goaf stability. A model experiment simulates the mining of a 73° nearly vertical coal seam. Results show the roof instability mode (under coal pillars and caved deposits) is equivalent to anti-dip slope’s toppling-sliding composite failure. Experimental and theoretical results agree well, verifying the model’s rationality and applicability. This study provides a theoretical basis and analytical method for calculating the synergistic stability of coal pillars and caving deposits in nearly vertical coal seams. Full article

17 pages, 10360 KB

Open AccessArticle

Optimization of Crowbar Resistance for Enhanced LVRT Capability in Wind Turbine Doubly Fed Induction Generator

by Mahmoud M. Elkholy and M. Abdelateef Mostafa

Appl. Syst. Innov. 2025, 8(6), 191; https://doi.org/10.3390/asi8060191 - 16 Dec 2025

Abstract

Recently, the installed generation capacity of wind energy has expanded significantly, and the doubly fed induction generator (DFIG) has gained a prominent position amongst wind generators owing to its superior performance. It is extremely vital to enhance the low-voltage ride-through (LVRT) capability for [...] Read more.

Recently, the installed generation capacity of wind energy has expanded significantly, and the doubly fed induction generator (DFIG) has gained a prominent position amongst wind generators owing to its superior performance. It is extremely vital to enhance the low-voltage ride-through (LVRT) capability for the wind turbine DFIG system because the DFIG is very sensitive to faults in the electrical grid. The major concept of LVRT is to keep the DFIG connected to the electrical grid in the case of an occurrence of grid voltage sags. The currents of rotor and DC-bus voltage rise during voltage dips, resulting in damage to the power electronic converters and the windings of the rotor. There are many protection approaches that deal with LVRT capability for the wind turbine DFIG system. A popular approach for DFIG protection is the crowbar technique. The resistance of the crowbar must be precisely chosen owing to its impact on both the currents of the rotor and DC-bus voltage, while also ensuring that the rotor speed does not exceed its maximum limit. Therefore, this paper aims to obtain the optimal values of crowbar resistance to minimize the crowbar energy losses and ensure stable DFIG operation during grid voltage dips. A recent optimization technique, the Starfish Optimization (SFO) algorithm, was used for cropping the optimal crowbar resistance for improving LVRT capability. To validate the accuracy of the results, the SFO results were compared to the well-known optimization algorithm, particle swarm optimizer (PSO). The performance of the wind turbine DFIG system was investigated by using Matlab/Simulink at a rated wind speed of 13 m/s. The results demonstrated that the increases in DC-link voltage and rotor speed were reduced by 42.5% and 45.8%, respectively. Full article

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24 pages, 8074 KB

Open AccessArticle

In Silico Identification of Molecular Interactions of the Emerging Contaminant Octyl Methoxycinnamate (OMC) on HPT Axis: Implications for Humans and Zebrafish

by Margarida Lorigo, Luiza Breitenfeld, Marta S. Monteiro, Amadeu M. V. M. Soares, Carla Quintaneiro and Elisa Cairrao

Pharmaceuticals 2025, 18(12), 1897; https://doi.org/10.3390/ph18121897 - 16 Dec 2025

Abstract

Background/Objectives: Thyroid hormones (THs) regulate almost all physiological processes in vertebrates via specific mechanisms exercised spatiotemporally throughout the lifespan. The TH signalling can be impaired by thyroid-disrupting chemicals (TDCs) capable of disrupting the hypothalamic–pituitary–thyroid (HPT) axis. Octyl methoxycinnamate (OMC) (also designated octinoxate), one [...] Read more.

Background/Objectives: Thyroid hormones (THs) regulate almost all physiological processes in vertebrates via specific mechanisms exercised spatiotemporally throughout the lifespan. The TH signalling can be impaired by thyroid-disrupting chemicals (TDCs) capable of disrupting the hypothalamic–pituitary–thyroid (HPT) axis. Octyl methoxycinnamate (OMC) (also designated octinoxate), one of the most widely used ultraviolet (UV) filters, has emerged as an environmental contaminant and has raised significant concerns recently due to its disruptive effects as TDC on humans and animals. Although the disruption of TH homeostasis has been reported, its exact modes of action (MoA) remain largely unknown. Our study aimed to provide a comparative information on the molecular interactions of OMC on TH signalling in humans and zebrafish. Methods: In silico approaches were performed comparing OMC with endogenous thyroid hormone T3 and the anti-thyroid drug propylthiouracil (PTU). Results: Our findings suggested a key role of OMC on the corticotrophin-releasing hormone receptor (crhr2), thyrotropin receptor (TSHR/tshr), and thyroid nuclear receptors (TR/tr-α and -β). At the hypothalamic level, a favourable binding of OMC to zebrafish crhr2 was found, involving ALA86, CYS44, HIS89, ILE63, ILE64, LEU92, PRO87, PRO88, SER48, and THR47. At the pituitary level, OMC was bound to human TSHR by the amino acid residues ASN590, GLU506, ILE583, ILE640, LEU570, MET572, PRO571, SER505, TYR667, VAL502, VAL586, ALA644, LEU587, MET637, SER641, and TYR582 and to zebrafish tsrh by ASN589, ILE639, MET636, ILE582, LEU569, LEU586, VAL501, and VAL585. Concerning nuclear receptors, OMC showed a more favourable binding energy of T3, involving the shared residues PHE218 and MET259 with T3 in both species. For human TRβ, OMC shared T3 with residues ILE 275, ILE276, LEU346, PHE269, PHE272, THR273, ALA279, ASN331, HIS435, LEU330, MET310, MET313, and PHE455. No similar residues were obtained for zebrafish trβ compared with the humans. Conclusions: Overall, the action of OMC seems to agree with primary hypothyroidism (anti-thyroid action) mimicking the T3 hormone. This investigation demonstrates that OMC acts as a potential TDC and provides new insights into its disruptive action on the HPT axis. Full article

(This article belongs to the Section Medicinal Chemistry)

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23 pages, 1646 KB

Open AccessArticle

Modulating Secondary Metabolite Content in Olive Leaves Through Foliar Application of Biochar and Olive Leaf-Based Phenolic Extracts

by Mario Franić, Igor Palčić, Šime Marcelić, Nikola Major, Dean Ban, Tvrtko Karlo Kovačević, Dominik Anđelini, Melissa Prelac, Danko Cvitan, Smiljana Goreta Ban, Zoran Užila, Marija Polić Pasković and Igor Pasković

Sustainability 2025, 17(24), 11290; https://doi.org/10.3390/su172411290 - 16 Dec 2025

Abstract

This research focuses on the additional valorization of olive leaves, a by-product of regular olive pruning, by increasing their secondary metabolite content through the combined application of biochar and a phenolic extract from olive leaves. A suspension of biochar, obtained by the pyrolysis [...] Read more.

This research focuses on the additional valorization of olive leaves, a by-product of regular olive pruning, by increasing their secondary metabolite content through the combined application of biochar and a phenolic extract from olive leaves. A suspension of biochar, obtained by the pyrolysis of grapevine pruning residues, was prepared by mixing it in demineralized water (1.5 g; 5 L; 24 h). The phenolic extract was obtained by extracting lyophilized and ground olive leaves in demineralized water (50 g; 5 L; 24 h), while the combined preparation was obtained in an analogous manner (1.5 g biochar; 50 g olive leaf powder; 5 L water; 24 h). Treatments were applied at the beginning of July, 50 days after anthesis (May 16th) and included the following: (i) control treatment (demineralized water), (ii) biochar solution, (iii) phenolic extract solution, and (iv) a combined aqueous preparation of biochar and phenolic extract, all with the addition of a wetting agent. Trees of the olive cultivars Leccino and Istarska bjelica were sprayed with the corresponding preparation until runoff. Olive leaves were sampled three weeks after treatment (July 26th) and, after washing and drying, and were prepared for LC-MSMS analysis. Both biochar-based treatments induced the most potent effects, although responses differed between cultivars. In particular, apigenin derivatives, hydroxytyrosol, luteolin-7-rutinoside, and the secoiridoid oleacein showed apparent differences between biochar treatments and the control. Overall, higher concentrations of the sum of detected secoiridoids were observed in the leaf samples of ‘Istarska bjelica’ under BCH and BCH+PH treatments, whereas no such differences were found for ‘Leccino’ cultivar. Further research is needed to clarify the cultivar-dependent response of secondary metabolism in these olive cultivars and the mechanisms by which biochar foliar application modulates metabolite profiles. Full article

(This article belongs to the Section Sustainable Agriculture)

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16 pages, 1738 KB

Open AccessArticle

La-Doped ZnO/SBA-15 for Rapid and Recyclable Photodegradation of Rhodamine B Under Visible Light

by ZiYang Zhou, Weiye Yang, Jiuming Zhong, Hongyan Peng and Shihua Zhao

Molecules 2025, 30(24), 4800; https://doi.org/10.3390/molecules30244800 - 16 Dec 2025

Abstract

La-doped ZnO nanoclusters confined within mesoporous SBA-15 were synthesized using an impregnation–calcination method and evaluated for their visible-light-driven photocatalytic degradation of Rhodamine B (RhB). Small-angle X-ray diffraction (XRD) and transmission electron microscopy (TEM) confirmed the preservation of the 2D hexagonal mesostructure of SBA-15 [...] Read more.

La-doped ZnO nanoclusters confined within mesoporous SBA-15 were synthesized using an impregnation–calcination method and evaluated for their visible-light-driven photocatalytic degradation of Rhodamine B (RhB). Small-angle X-ray diffraction (XRD) and transmission electron microscopy (TEM) confirmed the preservation of the 2D hexagonal mesostructure of SBA-15 post-loading. In contrast, wide-angle XRD and Fourier-transform infrared spectroscopy (FT-IR) analyses revealed that the incorporated ZnO existed predominantly as highly dispersed amorphous or ultrafine clusters within the mesopores. N₂ adsorption–desorption measurements exhibited Type IV isotherms with H1 hysteresis loops. Compared to pristine SBA-15, the specific surface area and pore volume of the composites decreased from 729.35 m² g⁻¹ to 521.32 m² g⁻¹ and from 1.09 cm³ g⁻¹ to 0.85 cm³ g⁻¹, respectively, accompanied by an apparent increase in the average pore diameter from 5.99 nm to 6.55 nm, attributed to non-uniform pore occupation. Under visible-light irradiation, the photocatalytic performance was highly dependent on the La doping level. Notably, the 5% La-ZnO/SBA-15 sample exhibited superior activity, achieving over 99% RhB removal within 40 min and demonstrating the highest apparent rate constant (k = 0.1152 min⁻¹), surpassing both undoped ZnO/SBA-15 (k = 0.0467 min⁻¹) and other doping levels. Reusability tests over four consecutive cycles showed a consistent degradation efficiency exceeding 93%, with only a ~7 percentage-point decline, indicating excellent structural stability and recyclability. Radical scavenging experiments identified h⁺, ·OH, and ·O₂⁻ as the primary reactive species. Furthermore, photoluminescence (PL) quenching observed at the optimal 5% La doping level suggested suppressed radiative recombination and enhanced charge carrier separation. Collectively, these results underscore the synergistic effect of La doping and mesoporous confinement in achieving fast, efficient, and recyclable photocatalytic degradation of organic pollutants. Full article

29 pages, 3426 KB

Open AccessReview

A Comprehensive Review of Big Data Intelligent Decision-Making Models for Smart Farms

by Chang Qin, Peiqin Zhao, Ying Qian, Guijun Yang, Xingyao Hao, Xin Mei, Xiaodong Yang and Jin He

Agronomy 2025, 15(12), 2898; https://doi.org/10.3390/agronomy15122898 - 16 Dec 2025

Abstract

Big data and artificial intelligence technologies are driving a paradigm shift in smart farming, yet intelligent decision-making faces critical bottlenecks. At the data level, challenges include fragmentation, high acquisition costs, and inadequate secure sharing; at the model level, issues involve regional heterogeneity, weak [...] Read more.

Big data and artificial intelligence technologies are driving a paradigm shift in smart farming, yet intelligent decision-making faces critical bottlenecks. At the data level, challenges include fragmentation, high acquisition costs, and inadequate secure sharing; at the model level, issues involve regional heterogeneity, weak adaptability, and insufficient explainability. To address these, this paper systematically reviews global research to establish a theoretical framework spanning the entire production cycle. Regarding data governance, trends favor federated systems with unified metadata and layered storage, utilizing technologies like federated learning for secure lifecycle management. For decision-making, approaches are evolving from experience-based to data-driven intelligence. Pre-harvest planning now integrates mechanistic models and transfer learning for suitability and variety optimization. In-season management leverages deep reinforcement learning (DRL) and model predictive control (MPC) for precise regulation of seedlings, water, fertilizer, and pests. Post-harvest evaluation strategies utilize spatio-temporal deep learning architectures (e.g., Transformers or LSTMs) and intelligent optimization algorithms for yield prediction and machinery scheduling. Finally, a staged development pathway is proposed: prioritizing standardized data governance and foundation models in the short term; advancing federated learning and human–machine collaboration in the mid-term; and achieving real-time, ethical edge AI in the long term. This framework supports the transition toward precise, transparent, and sustainable smart agriculture. Full article

(This article belongs to the Section Precision and Digital Agriculture)

18 pages, 3594 KB

Open AccessArticle

CE-FPN-YOLO: A Contrast-Enhanced Feature Pyramid for Detecting Concealed Small Objects in X-Ray Baggage Images

by Qianxiang Cheng, Zhanchuan Cai, Yi Lin, Jiayao Li and Ting Lan

Mathematics 2025, 13(24), 4012; https://doi.org/10.3390/math13244012 - 16 Dec 2025

Abstract

Accurate detection of concealed items in X-ray baggage images is critical for public safety in high-security environments such as airports and railway stations. However, small objects with low material contrast, such as plastic lighters, remain challenging to identify due to background clutter, overlapping [...] Read more.

Accurate detection of concealed items in X-ray baggage images is critical for public safety in high-security environments such as airports and railway stations. However, small objects with low material contrast, such as plastic lighters, remain challenging to identify due to background clutter, overlapping contents, and weak edge features. In this paper, we propose a novel architecture called the Contrast-Enhanced Feature Pyramid Network (CE-FPN), designed to be integrated into the YOLO detection framework. CE-FPN introduces a contrast-guided multi-branch fusion module that enhances small-object representations by emphasizing texture boundaries and improving semantic consistency across feature levels. When incorporated into YOLO, the proposed CE-FPN significantly boosts detection accuracy on the HiXray dataset, achieving up to a +10.1% improvement in mAP@50 for the nonmetallic lighter class and an overall +1.6% gain, while maintaining low computational overhead. In addition, the model attains a mAP@50 of 84.0% under low-resolution settings and 87.1% under high-resolution settings, further demonstrating its robustness across different input qualities. These results demonstrate that CE-FPN effectively enhances YOLO’s capability in detecting small and concealed objects, making it a promising solution for real-world security inspection applications. Full article

(This article belongs to the Special Issue Mathematical and Computational Methods for Image Processing and Pattern Recognition)

20 pages, 11183 KB

Open AccessArticle

The Cell Polarity Protein Scribble Is Involved in Maintaining the Structure of Neuromuscular Junctions, the Expression of Myosin Heavy Chain Genes, and Endocytic Recycling in Adult Skeletal Muscle Fibers

by Lea Gessler, Yongzhi Jian, Nam Anh Ngo and Said Hashemolhosseini

Cells 2025, 14(24), 2005; https://doi.org/10.3390/cells14242005 - 16 Dec 2025

Abstract

The role of LAP proteins expressed in skeletal muscles (ERBIN, LANO, and SCRIBBLE) and at neuromuscular junctions (NMJs) remains largely unknown. Our previous data demonstrate that LAP proteins are differentially expressed in muscle cells, nerve endings, and terminal Schwann cells, though they are [...] Read more.

The role of LAP proteins expressed in skeletal muscles (ERBIN, LANO, and SCRIBBLE) and at neuromuscular junctions (NMJs) remains largely unknown. Our previous data demonstrate that LAP proteins are differentially expressed in muscle cells, nerve endings, and terminal Schwann cells, though they are all expressed in myofibers and accumulate at NMJs. ERBIN and SCRIBBLE align with acetylcholine receptor clusters (CHRNs) at the NMJ. In vivo ablation of Erbin is associated with smaller CHRN and upregulation of Lano and Scribble. However, SCRIBBLE was also shown to influence the fate decision of muscle stem cells. Here, we investigated how the absence of SCRIBBLE in skeletal muscle cells might impair skeletal muscle fibers or NMJs. Although conditional Scribble knockout mice did not exhibit changes in weight or viability, force per weight decreased slightly. This was supported by compromised neuromuscular transmission and increased NMJ fragmentation. Moreover, Scribble knockout muscles transcribe less myosin heavy chain genes. Here, we also showed that RAB5, an effector of endocytic recycling, interacts with all LAP proteins, but in Scribble knockout muscles, reduced interaction was detected with ERBIN and LANO. These data suggest that a delicate signaling network employing LAP proteins is necessary for skeletal muscle fibers and NMJs. Full article

(This article belongs to the Section Cell Signaling)

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