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19 pages, 29008 KB  
Article
The Controls of Depositional Architecture on Reservoir Quality of Late Eocene Steep Slope Sandy Conglomeratic System in the Huizhou Sag, Pearl River Mouth Basin, South China Sea
by Peng-Lin Song, Zhong-Tao Zhang, Jia-Wang Ge, Pei Liu, Hong-Bo Li, Wei Wang and Wen-Dao Qian
Minerals 2026, 16(7), 670; https://doi.org/10.3390/min16070670 (registering DOI) - 24 Jun 2026
Abstract
The Late Eocene Huizhou-A sandy conglomeratic system in the Pearl River Mouth Basin presents a highly heterogeneous reservoir system shaped by intense synsedimentary fault activity and variable depositional processes. Utilizing 3D seismic interpretation, well log analysis, and core calibration, this study reconstructs the [...] Read more.
The Late Eocene Huizhou-A sandy conglomeratic system in the Pearl River Mouth Basin presents a highly heterogeneous reservoir system shaped by intense synsedimentary fault activity and variable depositional processes. Utilizing 3D seismic interpretation, well log analysis, and core calibration, this study reconstructs the tectono-sedimentary evolution, facies distribution, and diagenetic modifications controlling reservoir quality. Results show that the best reservoir quality is not confined to proximal fan-delta coarse-grained deposits near steep boundary faults, but occurs mainly in fan-delta front and braided-river-delta deposits, especially braided- and turbidite-channel microfacies. These reservoirs benefit from better sorting, favorable grain size, and higher textural maturity, whereas proximal clastic-flow deposits are poorer due to heterogeneity, poor sorting, and compaction. Reservoir quality is also depth-dependent: upper Enping reservoirs are mainly controlled by maturity, while lower Enping reservoirs are more influenced by grain size. Semi-quantitative analysis identifies the 7–11 km transport-distance zone as the optimal fairway for vertically stacked high-quality reservoirs. This approach not only guides exploration and development in the Huizhou Sag but also offers a transferable predictive model for similar steep slope lacustrine rift basins with comparable tectono-sedimentary settings worldwide. Full article
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29 pages, 4871 KB  
Article
Maternal Exposure to Wood-Smoke-Derived PM2.5 Is Associated with Delayed Fetal Neurocranial Intramembranous Ossification in a Rat Model
by Paulo Salinas, Francisca Villarroel, Luis Astorga, Paula Cerda, Eva Rojas and Aliro Maulén
Int. J. Mol. Sci. 2026, 27(13), 5715; https://doi.org/10.3390/ijms27135715 (registering DOI) - 24 Jun 2026
Abstract
Maternal exposure to airborne particulate matter smaller than 2.5 μm (PM2.5) has been associated with adverse fetal outcomes, although its effects on intramembranous ossification remain poorly understood. This study evaluated the impact of gestational and pregestational exposure to wood-smoke-derived [...] Read more.
Maternal exposure to airborne particulate matter smaller than 2.5 μm (PM2.5) has been associated with adverse fetal outcomes, although its effects on intramembranous ossification remain poorly understood. This study evaluated the impact of gestational and pregestational exposure to wood-smoke-derived PM2.5 on fetal neurocranial ossification in Sprague–Dawley rats. Females were allocated to four exposure conditions combining filtered air (FA) and non-filtered air (NFA): FA/FA, FA/NFA, NFA/FA, and NFA/NFA. Fetuses were collected at gestational day 21 and analyzed using fetal morphometry, radiography, micro-computed tomography, whole-mount alizarin red skeletal staining, histology, and immunohistochemistry for HIF-1α, COL-1, BMP-2, FGF-R1, and TGF-β. Continuous exposure (NFA/NFA) was associated with reduced fetal weight, shorter crown–rump length, impaired craniofacial mineralization, widened cranial sutural regions, and reduced mineral density, particularly in the occipital and interparietal bones. Histologically, exposed fetuses exhibited abundant osteoid, reduced osteocyte incorporation, and diffuse osteoblastic distribution, consistent with delayed osteogenic maturation. Immunohistochemistry showed increased HIF-1α immunoreactivity, altered TGF-β regulation, and reduced COL-1 expression in continuously exposed fetuses, whereas BMP-2 and FGF-R1 showed no significant changes. These findings suggest that maternal exposure to wood-smoke-derived PM2.5 is associated with delayed fetal neurocranial intramembranous ossification, particularly under continuous exposure. The observed immunohistochemical profile, elevated HIF-1α, reduced COL-I, and altered TGF-β, is consistent with a hypoxia-associated imbalance between extracellular matrix deposition and mineral maturation; however, the underlying mechanistic pathway was not directly functionally tested and should be regarded as a biologically plausible inferential model requiring further experimental validation. Full article
(This article belongs to the Special Issue Environmental Pollutants Exposure and Toxicity)
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20 pages, 749 KB  
Review
Current Animal Models of Cleft Lip and/or Palate: A Narrative Review
by In-Won Chang, Shirley Zheng, Zhong Zheng, Anh D. Le, Chun-Hsi Chung, Myra F. Laird and Chenshuang Li
Biomedicines 2026, 14(7), 1437; https://doi.org/10.3390/biomedicines14071437 (registering DOI) - 24 Jun 2026
Abstract
Cleft lip with or without cleft palate (CL/P) is one of the most common congenital craniofacial anomalies worldwide and presents significant functional, esthetic, and psychosocial challenges. Despite advances in multidisciplinary care and surgical reconstruction, complications such as impaired wound healing, scar formation, and [...] Read more.
Cleft lip with or without cleft palate (CL/P) is one of the most common congenital craniofacial anomalies worldwide and presents significant functional, esthetic, and psychosocial challenges. Despite advances in multidisciplinary care and surgical reconstruction, complications such as impaired wound healing, scar formation, and growth disturbances warrant the development of novel regenerative and surgical strategies, which heavily rely on animal models at the pre-clinical stage. For the current narrative review, the literature search was performed by combining cleft phenotype terms with modeling-approach terms in six databases and was supplemented by manual review of reference lists from full-text articles. The included articles were summarized based on cleft type and the methods for cleft induction (chemically induced, genetically engineered, and surgically created). Particularly, chemical teratogens such as retinoic acid, 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD), corticosteroids, and 6-aminonicotinamide have been widely used to induce cleft phenotypes and elucidate environmental influences on palatogenesis, whereas genetic models have clarified the roles of key molecules and signaling pathways, including Sonic hedgehog (SHH), bone morphogenetic protein (BMP), and transforming growth factor-β (TGF-β), in the development of lip and palate. Meanwhile, the surgical models have focused on the alveolar cleft in skeletally mature animals for evaluating novel grafting materials. By comparing the strengths and limitations of existing models, this review highlights opportunities for improving experimental design and translational relevance in future cleft research. Overall, despite a wide range of CL/P animal models available, few replicate clinically relevant defect anatomy and the postnatal craniofacial deformation observed in CL/P patients, underscoring the need for the development of new models. Full article
17 pages, 3182 KB  
Article
Coriander Honey Accelerates Human Osteoblast Differentiation and Matrix Mineralization via Intracellular Ca2+ Signaling
by Gregorio Bonsignore, Elia Ranzato and Simona Martinotti
Pharmaceuticals 2026, 19(7), 979; https://doi.org/10.3390/ph19070979 (registering DOI) - 24 Jun 2026
Abstract
Background/Objectives: Managing bone diseases demands novel, natural compounds to bypass the heavy side effects of current therapies. Honey is well-known for its therapeutic traits, yet we know very little about how specific floral varieties impact bone tissue. This study confronts this gap [...] Read more.
Background/Objectives: Managing bone diseases demands novel, natural compounds to bypass the heavy side effects of current therapies. Honey is well-known for its therapeutic traits, yet we know very little about how specific floral varieties impact bone tissue. This study confronts this gap by comparing how acacia, chestnut, and coriander honeys drive human osteoblast behavior in vitro. Methods: After mapping the phenolic/flavonoid profiles and antioxidant capacities of these honeys, we tested them on hFOB 1.19 human osteoblasts. We tracked cell migration via scratch assays and validated osteogenic maturation through Alkaline Phosphatase (ALP) activity and Alizarin Red (AR) mineralization over 7 days. Confocal time-lapse imaging with pharmacological inhibitors monitored intracellular calcium dynamics, while gene shifts were analyzed via qRT-PCR. Results: Coriander honey (CH) packed the highest polyphenol levels and antioxidant power. Biologically, while all honeys accelerated scratch closure, CH drove cell motility most potently. Remarkably, a 7-day treatment with these honeys sparked a significant and robust increase in ALP activity and mineralization, surpassing the osteogenic induction observed with standard osteoinductive media. Mechanistically, CH triggered a sharp [Ca2+] spike, relying on external calcium entry and IP3-dependent internal release via PLC activation. qRT-PCR confirmed this anabolic shift via OPG and OPN upregulation. Conclusions: Honey exerts pronounced multi-level osteopromotive effects at both the functional and transcriptional levels, tightly linked to its botanical source. Among the variants, coriander honey stands out for its exceptional ability to fast-track osteoblast migration, differentiation, and early mineral deposition. Therefore coriander honey represents a promising in vitro candidate that warrants further preclinical evaluation for bone repair applications. Full article
(This article belongs to the Special Issue Applications of Beehive Products for Wound Repair and Skin Care)
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20 pages, 884 KB  
Review
The Role of Polyunsaturated Fatty Acids (PUFAs) in the Primary Prevention of Allergic Diseases in Children: A Position Paper of the SIAIP Primary and Secondary Prevention of Allergic Diseases and Nutraceuticals Committees
by Angela Klain, Cristiana Indolfi, Giorgio Ciprandi, Alberto Martelli, Francesco Paolo Brunese, Salvatore Cascone, Valentina Cattivera, Lorenzo Cresta, Giulio Dinardo, Cecilia Fabiano, Filippo Favuzza, Francesca Galletta, Carolina Grella, Amelia Licari, Sara Manti, Antonio Andrea Senatore, Irene Schiavetti, Chiara Trincianti, Michele Miraglia del Giudice and Gianluigi Marseglia
Nutrients 2026, 18(13), 2072; https://doi.org/10.3390/nu18132072 (registering DOI) - 24 Jun 2026
Abstract
Background: Type 2 inflammatory diseases are among the most common chronic inflammatory conditions in childhood and represent a growing global health burden. Increasing evidence suggests that early-life nutritional exposures may influence immune programming and allergic disease development. This Position Paper aims to summarize [...] Read more.
Background: Type 2 inflammatory diseases are among the most common chronic inflammatory conditions in childhood and represent a growing global health burden. Increasing evidence suggests that early-life nutritional exposures may influence immune programming and allergic disease development. This Position Paper aims to summarize the current evidence regarding the immunomodulatory role of polyunsaturated fatty acids (PUFAs), particularly omega-3 long-chain fatty acids, in the prevention of allergic diseases during early life. Methods: A scoping literature review and consensus process were conducted to map biological mechanisms and clinical evidence linking omega-3 PUFAs with allergic disease prevention. This document analyzed experimental, observational, and randomized controlled studies evaluating maternal prenatal/lactational omega-3 exposure. The clinical evidence was qualitatively appraised using study-design-specific Joanna Briggs Institute (JBI) Critical Appraisal Tools. Particular attention was given to immune modulation, inflammatory pathways, epithelial barrier function, gut microbiota interactions, and the ferroptosis–immune–metabolic axis. Results: Omega-3 PUFAs, including eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA), exert immunomodulatory and anti-inflammatory effects through multiple mechanisms, including specialized pro-resolving mediator production, regulation of T-helper cell responses, cytokine modulation, maintenance of epithelial barrier integrity, and microbiota interaction. Emerging evidence also supports their involvement in oxidative stress and ferroptosis regulation. Current clinical evidence, particularly from higher-quality prenatal randomized trials and evidence syntheses, suggests that adequate maternal omega-3 intake during pregnancy and lactation may reduce the risk of respiratory allergic outcomes, especially wheezing and asthma, in selected offspring. Conclusions: Adequate omega-3 PUFA intake, such as 2 g/die, during critical windows of immune maturation may represent a valuable strategy for the primary prevention of allergic diseases. Current evidence most strongly supports supplementation during pregnancy and lactation, particularly in populations with low dietary omega-3 intake or increased allergic risk. Omega-3 supplementation should be considered within a broader multifactorial preventive approach aimed at promoting immune tolerance and reducing the future burden of allergic diseases. Full article
(This article belongs to the Section Pediatric Nutrition)
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21 pages, 1040 KB  
Review
Artificial Intelligence-Assisted Low-Field Benchtop NMR Spectroscopy: Analytical Applications, Challenges, and Perspectives
by Gayoung Seo, Yeon Ju Shin and Sangdoo Ahn
Magnetochemistry 2026, 12(7), 70; https://doi.org/10.3390/magnetochemistry12070070 (registering DOI) - 24 Jun 2026
Abstract
Low-field benchtop nuclear magnetic resonance (NMR) spectroscopy has emerged as an accessible analytical platform for rapid, routine, and application-oriented analysis. However, its broader analytical adoption remains constrained by intrinsic limitations, including reduced spectral resolution, severe signal overlap, and lower sensitivity compared with conventional [...] Read more.
Low-field benchtop nuclear magnetic resonance (NMR) spectroscopy has emerged as an accessible analytical platform for rapid, routine, and application-oriented analysis. However, its broader analytical adoption remains constrained by intrinsic limitations, including reduced spectral resolution, severe signal overlap, and lower sensitivity compared with conventional high-field instruments. To address these limitations, artificial intelligence (AI), including machine learning and deep learning approaches, has increasingly been explored alongside conventional chemometric strategies to enhance information extraction from low-field spectral data. This review examines recent developments in AI-assisted benchtop NMR across three major application domains: classification and authentication, quantitative analysis, and spectral processing or automated interpretation. Current evidence suggests that classification and authentication currently represent the most mature application area, whereas quantitative analysis shows promising but often condition-dependent performance. In contrast, spectral reconstruction and automated interpretation remain comparatively early-stage and exploratory, despite their potential long-term relevance for addressing intrinsic information limitations. Key challenges, including limited dataset diversity, poor model transferability, validation pitfalls, limited interpretability, and the lack of benchmarking and standardized workflows, are critically discussed. Future progress will likely depend not only on advances in AI algorithms, but also on the development of robust, reproducible, and analytically meaningful workflows. Overall, AI-assisted benchtop NMR is evolving from proof-of-concept applications toward a more structured analytical framework for extracting chemically meaningful information from spectrally constrained low-field data. Full article
(This article belongs to the Section Magnetic Resonances)
38 pages, 3338 KB  
Article
From Vulnerability to Resilience: Passive Design Strategies for Optimizing Building Envelope Heat Exchange to Reduce Cooling Loads in a Warming World
by Tao Ning, Junxue Zhang, Hairuo Wang and Ge Song
Buildings 2026, 16(13), 2513; https://doi.org/10.3390/buildings16132513 (registering DOI) - 24 Jun 2026
Abstract
Traditional air conditioning consumes substantial electricity, exacerbates the urban heat island effect, and creates a maladaptive feedback loop, necessitating a shift toward passive-first net-zero pathways. This study takes a typical six-story residential building in Nanjing’s hot summer and cold winter climate zone as [...] Read more.
Traditional air conditioning consumes substantial electricity, exacerbates the urban heat island effect, and creates a maladaptive feedback loop, necessitating a shift toward passive-first net-zero pathways. This study takes a typical six-story residential building in Nanjing’s hot summer and cold winter climate zone as a case study. Using EnergyPlus hourly simulations, three progressive passive strategy packages are designed to quantify the impact of building envelope heat exchange on cooling loads, grid stress, and heat resilience. Package A includes external shading and natural ventilation. Package B adds reflective coating and a green roof. Package C further adds night ventilation precooling and high-performance windows. The results show that Package C achieves a 62.5% reduction in peak cooling load and a 63.0% reduction in seasonal cooling load. Daytime peak inward heat gain decreases from 68 W/m2 to 22 W/m2, while nighttime outward heat dissipation increases from 12 W/m2 to 38 W/m2. Under an extreme heat day of 41.2 °C with no active cooling, indoor peak temperature drops from 36.8 °C to 29.4 °C, and heat risk hours decrease by 73.6%. Peak-hour power demand is reduced by 70.4%, with a systemic leverage factor of 1.08. Innovations include achieving over 60% load reduction using only mature passive strategies, introducing the systemic leverage factor to quantify urban heat island mitigation benefits, and establishing a vulnerability-to-resilience transformation framework. The passive-first pathway validates building envelope as the first line of defense for net-zero futures. However, the findings are based on a typical six-story residential building in Nanjing and require validation through field measurements or broader application across different climate zones and building typologies before generalization. Full article
22 pages, 3635 KB  
Article
Assessment of Treatment Technologies and Research on Governance Models for Acid Mine Drainage from Closed Coal Mines in Karst Regions
by Chong Li, Yanan Jiao, Xiaoying Zhao, Bin Yang and Bo Bai
Water 2026, 18(13), 1546; https://doi.org/10.3390/w18131546 (registering DOI) - 24 Jun 2026
Abstract
Acid mine drainage (AMD) pollution from closed coal mines in karst regions represents a major environmental challenge in the global mining industry. The complexity of hydrogeological conditions in such regions leads to significant challenges in both predictability and controllability of pollution. Taking the [...] Read more.
Acid mine drainage (AMD) pollution from closed coal mines in karst regions represents a major environmental challenge in the global mining industry. The complexity of hydrogeological conditions in such regions leads to significant challenges in both predictability and controllability of pollution. Taking the Yudong River Basin in Guizhou Province, Southwest China, as the study area, and based on six years (2017–2023) of systematic remediation practices and monitoring data, this study systematically evaluates the effectiveness and applicable conditions of three types of treatment technologies: centralized treatment stations, source control combined with end-of-pipe treatment, and water-sealing ecological plugging. On this basis, governance models applicable to karst regions are distilled. The results show that after six years of remediation, the number of pollution points in the Yudong River Basin decreased from 27 to 12. At the outflow section, the total Fe reduction rate reached 88.3%, the total Mn reduction rate reached 62.3%, and the proportion of contaminated river length was reduced by 78.5%. Each of the three technologies has its own applicable conditions. Centralized treatment stations, characterized by mature technology but high operational costs, are suitable for emergency transition periods. Source control combined with end-of-pipe treatment addresses both symptoms and root causes, making it applicable to complex pollution points. Water-sealing ecological plugging, although cost-controllable, carries a risk of secondary pollution in karst-developed areas. The failure of water-sealing ecological plugging technology is mainly attributed to two mechanisms: bypass flow through karst conduits and overflow induced by water level rise. Based on the six-year remediation practice, this study proposes a source control model for karst conduits centered on the core concepts of “filling, isolating, plugging, intercepting, draining, and controlling”. The implementation process consists of four stages: detailed investigation, graded optimization, stepwise implementation, and long-term monitoring. The core innovation lies in the cross-disciplinary application of coal mine water control techniques to environmental remediation, achieving a shift from passive end-of-pipe treatment to active source control. This model can provide theoretical reference and practical guidance for karst mining areas in Southwest China and other regions with similar geological conditions. Full article
(This article belongs to the Section Water Quality and Contamination)
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21 pages, 467 KB  
Article
Strategic Global Solutions for Sustainable and Resilient Construction: Addressing Industry Challenges Through Integrated Best Practices
by Kleanthes Yannakou, David Robinson and Lucija Boskovic
Sustainability 2026, 18(13), 6454; https://doi.org/10.3390/su18136454 (registering DOI) - 24 Jun 2026
Abstract
The construction sector needs to transform to address increasing sustainability and resilience challenges driven by climate change and increasing demands from stakeholders such as governments and customers. While previous research has examined individual aspects of sustainable construction, there remains an important need for [...] Read more.
The construction sector needs to transform to address increasing sustainability and resilience challenges driven by climate change and increasing demands from stakeholders such as governments and customers. While previous research has examined individual aspects of sustainable construction, there remains an important need for an integrated, performance-oriented framework to guide organisational capability development. This research study develops a novel Sustainability Performance-Led Progression Framework (SPL-PF) to support the systematic assessment of and improvement in sustainability and resilience performance within the construction sector. A structured literature review of global academic and industry sources (2020–2025) was conducted to identify key challenges and evidence-based strategies and solutions. Through systematic synthesis, ten challenge areas and forty-one success strategies were identified and consolidated into a staged maturity framework. The SPL-PF defines five progressive levels (compliance, integration, optimisation, collaboration, and innovative leadership) supported by performance criteria, measurement indicators, and an operational scoring approach. This framework enables organisations to benchmark current capability, prioritise interventions, and monitor continuous improvement across sustainability and resilience dimensions. Full article
(This article belongs to the Special Issue Lean Construction and Sustainability in Construction Industry)
42 pages, 1348 KB  
Review
The Follicular Immune Checkpoint: PD-1/PD-L1 and Immune Tolerance in Oocyte Competence and IVF Failure
by Charalampos Voros, Chrysi Christodoulaki, Ioanna Petrakou, Rafaela Panagopoulou, Ioanna Zouganeli, Dimos Sioutis, Fotios Chatzinikolaou, Georgios Papadimas, Georgios Daskalakis and Periklis Panagopoulos
Int. J. Mol. Sci. 2026, 27(13), 5712; https://doi.org/10.3390/ijms27135712 (registering DOI) - 24 Jun 2026
Abstract
Oocyte formation occurs successfully within a meticulously controlled follicular environment characterized by well-documented endocrine, metabolic, and paracrine signals. Yet, the immunological landscape of the follicle and its role in influencing oocyte competency has received less attention in research. Growing research indicates that the [...] Read more.
Oocyte formation occurs successfully within a meticulously controlled follicular environment characterized by well-documented endocrine, metabolic, and paracrine signals. Yet, the immunological landscape of the follicle and its role in influencing oocyte competency has received less attention in research. Growing research indicates that the ovarian follicle functions as an immunological-active niche necessitating a precise equilibrium between controlled inflammation and targeted immune tolerance. The programmed cell death-1 (PD-1) receptor and its ligand PD-L1 constitute a crucial immune checkpoint pathway, essential for sustaining peripheral immunological tolerance and averting excessive immune activation. Despite their comprehensive research in cancer biology and maternal–fetal interactions, their possible function in the follicular microenvironment remains mostly unexamined. We propose that PD-1/PD-L1 signaling may facilitate the formation of a localized immune-tolerant milieu inside the follicle to safeguard the developing oocyte from inflammatory injury and immune-mediated stress. The disturbance of this suggested equilibrium may lead to a pro-inflammatory follicular environment, compromised granulosa cell function, and modified oocyte maturation, hence affecting fertilization and embryonic developmental potential. In clinical contexts with immunological dysregulation, such as endometriosis, polycystic ovarian syndrome, and unexplained IVF failure, such processes may be especially significant. The purpose of this narrative review is to assimilate the current comprehension of immune regulation in the follicle with the established biology of PD-1/PD-L1 and to investigate a potential correlation between immune checkpoint signaling, oocyte competence, and assisted reproductive outcomes. Considering the follicle as an immune-regulated microenvironment offers a new paradigm for comprehending infertility and identifying novel indicators or therapeutic targets. Full article
(This article belongs to the Special Issue Research Advances in Reproductive Immunology)
16 pages, 568 KB  
Article
Effect of Anti-Müllerian Hormone on Oocytes In Vitro Maturation in Sheep
by Peipei Zhang, Yupeng Li, Xiaodi Shi, Xiaofei Guo, Dawei Yao, Hui Sheng, Jinlong Zhang, Yuan Cai and Xiaosheng Zhang
Int. J. Mol. Sci. 2026, 27(13), 5701; https://doi.org/10.3390/ijms27135701 (registering DOI) - 24 Jun 2026
Abstract
Improvement in the in vitro maturation (IVM) of oocyte quality is a gateway to enhancing the efficiency of in vitro embryo production. The anti-Müllerian hormone (AMH) is a crucial hormone secreted by granulosa cells that effectively suppresses primordial follicle recruitment and regulates follicular [...] Read more.
Improvement in the in vitro maturation (IVM) of oocyte quality is a gateway to enhancing the efficiency of in vitro embryo production. The anti-Müllerian hormone (AMH) is a crucial hormone secreted by granulosa cells that effectively suppresses primordial follicle recruitment and regulates follicular growth and development. This study was designed to investigate the role of AMH on the IVM of sheep oocytes. In this current study, oocytes in vitro were cultured in media supplemented with AMH. We comprehensively analyzed the impact of AMH on various developmental parameters of sheep oocytes, such as cellular activity, cortical granules (CGs) migration, cytoskeleton and mitochondrial function of oocytes. Furthermore, Smart-seq2 single-cell RNA sequencing (scRNA-seq) was employed to elucidate the oocytes’ development. The results showed that treatment with 100 ng/mL improved the maturation rate of the oocytes, the normal distribution rate of cortical granules and mitochondrial function, while reducing the rate of spindle abnormalities in oocytes. A total of 741 differentially expressed genes (DEGs) were observed between the FSH_12 h and AMH_12 h groups, and 746 DEGs were observed between the FSH_24 h and A+F groups. KEGG pathway analysis revealed that the FSH_12 h and AMH_12 h groups significant enrichment in DEGs were associated with p53, MAPK, PI3K-Akt and TGF-beta signaling pathways, and the FSH_12 h and AMH_24 h groups significant enrichment in DEGs were associated with cAMP, AMPK, Hedgehog and estrogen signaling pathways. These findings suggest that AMH may regulates oocytes IVM via several candidate signaling pathways. Our results provide preliminary clues for exploring the regulatory mechanism of sheep oocyte maturation and optimizing relevant culture systems. Full article
(This article belongs to the Section Molecular Biology)
25 pages, 6464 KB  
Review
Curriculum Vitae of WEE2 Kinase in Homeostasis and Diseases: A Systematic Review
by Ran Wang, Jing Yu, Yan-Jun Liu, Guo-Shu Zhao, Xiang Li, Yi-Fang Jiang, Chang-Hong Li, Guan-Jun Yang and Jiong Chen
Cells 2026, 15(13), 1147; https://doi.org/10.3390/cells15131147 (registering DOI) - 24 Jun 2026
Abstract
WEE2, an oocyte-specific kinase of the WEE family, is a core regulator of oocyte meiosis. It maintains germinal vesicle (GV) arrest and prevents premature meiotic resumption by phosphorylating cyclin-dependent kinase 1 (CDK1), thereby inhibiting maturation-promoting factor (MPF) activity. WEE2 also regulates exit from [...] Read more.
WEE2, an oocyte-specific kinase of the WEE family, is a core regulator of oocyte meiosis. It maintains germinal vesicle (GV) arrest and prevents premature meiotic resumption by phosphorylating cyclin-dependent kinase 1 (CDK1), thereby inhibiting maturation-promoting factor (MPF) activity. WEE2 also regulates exit from metaphase II (MII), ensuring orderly meiotic progression. Consequently, the functional integrity of WEE2 is essential for female reproduction. Homozygous or compound heterozygous mutations in the WEE2 gene represent a major genetic cause of total fertilization failure and primary infertility, as these mutations lead to reduced or abolished kinase activity, impair meiotic control, and disrupt oocyte maturation and embryonic development. This review systematically summarizes the protein structure, core functions, and mutation types of WEE2, along with its association with total fertilization failure and female primary infertility. It also highlights research advances in WEE2-targeted inhibitors and discusses the potential applications and future directions of WEE2 in the diagnosis and management of reproductive disorders. Full article
(This article belongs to the Special Issue Clockwork Cells: Decoding the Language of Cell Cycle Regulators)
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19 pages, 9185 KB  
Article
Lightweight WSS-YOLO Quince Fruit Detection Algorithm Integrating SimAM
by Xingrui Wu, Jinting Zou and Haiwei Wu
Appl. Sci. 2026, 16(13), 6342; https://doi.org/10.3390/app16136342 (registering DOI) - 24 Jun 2026
Abstract
Real-time fruit maturity detection in unstructured orchards remains challenging because of variable illumination, fruit occlusion, complex backgrounds, and the limited computing capacity of edge devices. To address these challenges, this study proposes WSS-YOLO, a lightweight detection framework based on YOLOv11n for quince maturity [...] Read more.
Real-time fruit maturity detection in unstructured orchards remains challenging because of variable illumination, fruit occlusion, complex backgrounds, and the limited computing capacity of edge devices. To address these challenges, this study proposes WSS-YOLO, a lightweight detection framework based on YOLOv11n for quince maturity detection. The model introduces WaveletPool to reduce texture loss during downsampling, adopts a GSConv-based Slim-neck to improve feature fusion with lower computational cost, and integrates SimAM to enhance discriminative fruit-region responses without adding trainable parameters. Experiments on a multi-scenario quince maturity dataset show that WSS-YOLO achieves 86.4% precision, 87.5% recall, and 93.4% mAP@0.5, improving the YOLOv11n baseline by 2.3, 1.7, and 2.5 percentage points, respectively. The model contains only 2.23 M parameters and requires 4.1 G FLOPs. Deployment on the NVIDIA Jetson Orin Nano achieved a real-time speed of 23.0 FPS, suggesting a favorable trade-off between detection accuracy and computational efficiency under the tested conditions. Full article
(This article belongs to the Special Issue Application of AI, Sensors, and IoT in Modern Agriculture)
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15 pages, 2776 KB  
Article
Study on the Startup Mechanism and Quantitative Characterization of Multiple Oil-Phase Morphologies During the Ultra-High Water-Cut Stage
by Pengxiao Sun, Yingxian Liu, Yue Gao and Jianchun Xu
Processes 2026, 14(13), 2047; https://doi.org/10.3390/pr14132047 (registering DOI) - 24 Jun 2026
Abstract
After long-term waterflooding in offshore oilfields, the remaining oil becomes highly dispersed and discontinuous. To address the limitations of classical waterflooding theory in describing the effects of microscopic oil occurrence and stress differences on oil-phase flow, this study investigated oil–water two-phase flow during [...] Read more.
After long-term waterflooding in offshore oilfields, the remaining oil becomes highly dispersed and discontinuous. To address the limitations of classical waterflooding theory in describing the effects of microscopic oil occurrence and stress differences on oil-phase flow, this study investigated oil–water two-phase flow during heavy-oil waterflooding using core samples from the Bohai Oilfield. The evolution of the oil-phase starting pressure gradient at different water-cut stages was measured through core two-phase steady-state displacement experiments. By combining in situ core CT scanning with pore-scale phase-field simulations, the multi-form start-up mechanisms and microscopic causes of the oil phase were clarified. The fractal characteristics of the reservoir pore structure were further incorporated to establish a calculation method for the multi-form start-up resistance of the oil phase. The results show that, as the water cut increases, the starting pressure gradient of the oil phase exhibits a nonlinear increasing trend. At a water cut of 90%, the oil-phase starting pressure gradient is approximately 7–8 times that of the pure oil phase. Meanwhile, the oil phase gradually transforms from a continuous phase to a discontinuous phase, with a smaller pore radius and a larger surface area per unit volume. Owing to the Jamin effect, capillary force exerts a stronger influence on oil-phase flow, resulting in a significant increase in the starting pressure gradient during the ultra-high water-cut stage. These findings provide a pore-scale explanation for the increase in oil-phase starting pressure gradient during ultra-high water-cut waterflooding and offer a theoretical basis for the sustainable development of mature offshore oilfields. Full article
(This article belongs to the Section Petroleum and Low-Carbon Energy Process Engineering)
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8 pages, 1041 KB  
Proceeding Paper
Research Maturity of IOT-Based Energy Efficiency in Hospitality: A PRISMA Systematic Review
by Manuel D. Couturier, Oscar Frausto-Martínez and Julisa Cabrera Borraz
Eng. Proc. 2026, 147(1), 3; https://doi.org/10.3390/engproc2026147003 (registering DOI) - 24 Jun 2026
Abstract
Energy consumption in hotels is strongly influenced by HVAC operation, lighting systems, and highly variable occupancy patterns. Internet of Things (IOT) technologies have been widely proposed to improve energy efficiency in building interiors; however, the maturity and practical applicability of this research remain [...] Read more.
Energy consumption in hotels is strongly influenced by HVAC operation, lighting systems, and highly variable occupancy patterns. Internet of Things (IOT) technologies have been widely proposed to improve energy efficiency in building interiors; however, the maturity and practical applicability of this research remain unclear. This study presents a PRISMA-based systematic literature review of IOT-driven energy efficiency research in hospitality environments. A total of 1709 records were initially identified across Web of Science, Scopus, and Google Scholar, from which 60 peer-reviewed articles were selected for detailed analysis. Each study was evaluated using a three-dimensional research maturity assessment framework and a four-level ordinal scoring scale. The results indicated a moderate research maturity (average score 2.65/4), limited real-world implementation, and insufficient reporting of technological architectures and operational details required for replicability. These findings highlight the need for more rigorous empirical validation and clearer reporting standards to enable scalable adoption of IOT-based energy management in hospitality. Full article
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