The development of multifunctional photocatalysts that efficiently operate under visible light remains a fundamental challenge for sustainable wastewater treatment and oxygen evolution. In this work, we report a novel reticular and high-entropy TiO₂-based nanotubular hybrid system integrated with Cu:ZnO nanoparticles and carbon quantum dots (C-dots), designed to achieve synergistic enhancement in charge dynamics and surface reactivity. The high-entropy configuration introduces lattice distortion and defect sites that extend the optical absorption edge and promote rapid charge separation, while the Cu:ZnO interface accelerates electron transport and facilitates multi-pathway redox reactions. Simultaneously, the C-dots serve as photonic antennas, enabling visible-light sensitization through π–π conjugation and energy up-conversion. Structural and optical analyses confirm the formation of a reticular nanotubular network providing hierarchical porosity and large interfacial area for catalytic interactions. Under simulated solar irradiation, the hybrid demonstrates remarkable photocatalytic efficiency, achieving over 95% degradation of organic contaminants and enhanced oxygen evolution activity compared to pristine TiO₂. The introduced design concept coupling reticular high-entropy stabilization with optoelectronic co-catalyst modulation presents a new paradigm for next-generation photocatalysts capable of simultaneous environmental remediation and clean energy generation.

Artificial intelligence (AI) in crop science is redefining the agriculture issue by being accurate, scalable, and predictive. It is an overview of the recent developments in AI-based crop modeling in the context of its advancement, management, and sustainability. We criticize the application of machine learning (ML), deep learning (DL), reinforcement learning (RL) and computer vision to fields of high-throughput phenotyping, genomic prediction, yield forecasting and stress detection. Convolutional neural networks and vision transformers have assisted in new developments in image-based prediction of characteristics of UAVs, satellites, and ground sensors, and recurrent and graph neural networks to new developments in spatiotemporal modeling of crop-environment interactions. This is possible by combination of predictive modeling and crop simulation systems and enables dynamic decision support of the changing climatic conditions. Moreover, explainable AI (XAI) technique is also in progressive use to increase transparency of models and make them acceptable to breeders and farmers. However, there are still serious obstacles like the heterogeneity of the data, models transferability is not applicable across the regions, annotation bottlenecks, and the failure to incorporate the biological knowledge into the AI structures. The other fact, which we highlight, is the unavailability of AI to smallholder systems and the uniformity of standard and open-source datasets. Future directions It concentrates on the use of multi-omics, remote sensing, and on-farm data in individual AI systems, and physics-informed and hybrid modelling. Such integrative practices are necessary to make AI tools more powerful, decipherable and scalable. Ultimately, the strategic application of next generation AI models will be in sustainable increment, resultant reduction in environmental footprints, and crop production systems in a manner that will be resilient to the changing climatic conditions in order to feed the ever-growing world population which is increasing at an accelerated rate.

Background: Non-medical oocyte cryopreservation (NMOC), also known as elective egg freezing, has become an established reproductive option that enables women to preserve fertility for social or personal reasons. Assessing women’s knowledge and attitudes toward NMOC is critical for enhancing awareness, supporting informed decision-making, and refining counseling practices. Objective: This literature review synthesizes current evidence regarding women’s knowledge, attitudes, and influencing factors related to NMOC, with particular emphasis on gaps identified among Saudi women. Methods: A systematic search was performed in PubMed, Medline Plus, Web of Science, and Google Scholar for studies published from 2020 to 2024. Of the 260 articles initially identified, 23 met the inclusion criteria. Each study was analysed based on its aim, setting, sample size, and key findings. Thematic synthesis was used to organize results into four main areas: knowledge and attitudes toward NMOC, factors influencing women’s decision-making, factors affecting attitudes, and sources of information. Results: The findings indicate that most women possess limited knowledge of NMOC, particularly concerning optimal age, success rates, and medical procedures. However, attitudes toward NMOC are generally positive, especially among highly educated, employed, and medically trained women. Variables such as age, marital status, education, income, fertility awareness, and cultural or religious beliefs significantly influence both knowledge and attitudes. Online resources and healthcare professionals are the primary sources of information shaping women’s understanding. Conclusion: Although global awareness of NMOC is increasing, significant gaps remain, particularly among Saudi women. Future research and culturally tailored educational initiatives are necessary to improve women’s reproductive literacy, facilitate informed choices, and support equitable access to fertility preservation counselling.

Sustainable management of fisheries plays a key role in ensuring food security, ecological stability, and socioeconomic sustainability of the world. The conventional methods of monitoring and evaluation are not always sufficient because of the inability to achieve high accuracy, time, and species-specificity. The recent development of molecular and genomic technology has revolutionized the ability to measure, monitor, and preserve aquatic biodiversity in a more precise manner than ever before. Genomics, transcriptomics, and proteomics have become the central activities in the dissection of the genetic architecture of fish populations, which has made it possible to identify adaptive traits, as well as population structures, that are important in the management of stocks. The DNA barcoding and environmental DNA (eDNA) methods have transformed the concept of species identification and biodiversity monitoring that enabling non-invasive detection of rare, cryptic, or endangered species. The application of population genetics and genomic selection can again assist in defining the management unit and informing breeding programs that will improve resilience and productivity. Having all these molecular advancements leads to the creation of ecosystem-based management that incorporates genetic information into policy frameworks that enhance conservation, traceability, and sustainability. Fisheries genomics continues to be extended with the integration of the multi-omics platform with the advanced bioinformatics and artificial intelligence that allows predictive and adaptive management strategies to respond to environmental change. All molecular and genomic technologies are a revolutionary direction of sustainable, information-driven fisheries management, which combines the preservation of the ecological environment with human nutritional requirements.

The conversion of atmospheric CO₂ into valuable fuels while simultaneously storing renewable energy represents a grand challenge in sustainable energy research. Here, we report the design and fabrication of ultrafast photo-electrocatalytic nanoparticle networks engineered for dual CO₂ reduction and high-energy storage within hybrid quantum materials. The system integrates plasmonic nanoparticles with quantum dots and 2D conductive frameworks, establishing a synergistic interface for rapid charge separation and transfer. Under simulated solar illumination, the networks achieve femtosecond-scale electron mobility, driving selective CO₂ reduction to methanol while concurrently storing charge in quantum-confined domains. This hybrid design bridges photonic excitation and electrochemical storage mechanisms through quantum coupling effects, yielding unprecedented energy densities (up to 420 Wh kg⁻¹) and Faradaic efficiencies above 93%. Structural and spectroscopic analyses confirm robust electron delocalization across multi-phase junctions, stabilizing catalytic intermediates and preventing recombination losses. These findings reveal a new materials platform capable of simultaneous carbon valorization and renewable energy storage, representing a transformative step toward closed-loop, carbon-neutral energy systems.

Mosquitoes are important vectors of diseases that pose major public health challenges. This study investigated the prevalence and distribution of Aedes and Culex species within Ajayi Crowther University, Oyo State, Nigeria. Larvae were collected from ten randomly selected sites over a five-month period (November–March). A total of 10,033 mosquitoes were recorded, comprising Culex spp. (5,141; 53.8%) and Aedes spp. (4,892; 46.2%). Statistical analysis showed significant variation across months (p = 0.005) and locations (p = 0.002), while no significant interaction was observed (p = 0.074). The predominance of Culex highlights the risk of diseases such as lymphatic filariasis and West Nile virus, whereas Aedes remains relevant for dengue, yellow fever, and chikungunya transmission. These findings provide baseline data for vector control programs in Atiba Local Government and contribute to understanding mosquito distribution in Oyo State.

Plant Based Ingredients to make edible inks for 3D food printing might help solve issues about food quality, food nutrition, and sustainability of food. We examine the molecular, functional, & nutritional characteristics of different plant proteins, plant Fibers & Hydrocolloids to determine their potential & their use as food industry. Additionally, we look at the possibilities of plant protein-based edible inks for 3D printing applications, where a material's form or other characteristics might alter over time to allow for precise issue profiles & texture modulations. Because of their superior structure-forming capabilities, and also their functional & nutritious qualities, Wheat gluten, pea protein, Lentil protein & soy proteins are frequently utilized as an ink for the 3D food printing applications. The use of 3D printing technology to create texture & improve probiotic & nutrient encapsulation in plant-based compositions was emphasized. Recent developments in 3D printing have been documented using edible smart materials that have been subjected to air-drying and microwaving processes. It was determined that the market sector for plant-based foods will be disrupted in three ways by 3D printing, Plant based meat, Personalized nutrition & Sustainability. This review addresses the latest developments in plant-based functional ingredients, or non-traditional food sources, that can be used as basis materials for 3D ink formulations & attention to the novel ingredients, their physiological role, and how their inclusion affects the product's rheological, structural, and printing qualities. 3D food printing has shown remarkable results in providing individualized nutrition and customized foods

Clear cell renal cell carcinoma (ccRCC) is the most common and aggressive subtype of renal cancer, accounting for approximately 75% of all kidney malignancies in adults. Despite advances in diagnosis and therapy, the molecular mechanisms underlying ccRCC progression remain incompletely understood. MicroRNAs (miRNAs), as post-transcriptional regulators of gene expression, play critical roles in cancer initiation, progression, and metastasis. This study aimed to identify key dysregulated miRNAs and their target genes involved in ccRCC pathogenesis using an integrative in-silico bioinformatics approach. Three Gene Expression Omnibus (GEO) datasets (GSE116251, GSE95384, and GSE6357) were analyzed through the GEO2R tool to identify differentially expressed genes (DEGs) and miRNAs (DEMs) using |logFC| > 1 and adjusted p-value < 0.05 as thresholds. Overlapping miRNAs were determined using the Venny tool, and their corresponding target mRNAs were predicted through TargetScan. Functional annotation and pathway enrichment of DEGs were performed using the DAVID database, while protein–protein interaction (PPI) networks were constructed through STRING. The miRIAD and OncomiR databases were employed to elucidate miRNA–gene interactions, and the OncoLnc database was utilized for survival analysis. Our analysis revealed several dysregulated miRNAs, including miR-155-5p, miR-210-3p, and miR-21-5p, along with key tumor-related genes such as VHL, PBRM1, SETD2, TP53, and PTEN, which significantly influence ccRCC prognosis. Functional enrichment analysis demonstrated that these genes are involved in critical oncogenic pathways, including the cell cycle, p53 signaling, and PI3K–Akt pathways. In conclusion, this study provides a comprehensive bioinformatic framework that highlights novel miRNA–gene interactions potentially involved in ccRCC progression. The identified molecules may serve as valuable biomarkers for diagnosis, prognosis, and targeted therapy in renal cancer, supporting further experimental validation and clinical investigation.

Climate change has emerged as a critical global threat, exerting profound stress on food systems and accelerating nutritional insecurities across regions. Rising temperatures, shifting precipitation patterns, soil degradation, and extreme weather events are increasingly disrupting agricultural productivity, diminishing nutrient quality, and destabilizing food supply chains. These changes have intensified the triple burden of malnutrition undernutrition, micronutrient deficiencies, and obesity particularly in vulnerable populations with limited access to affordable, diverse, and nutritious foods. Despite ongoing global efforts, existing food and dietary systems remain ecologically unsustainable, heavily dependent on high-emission production practices, and constrained by socioeconomic and cultural barriers. This study critically examines the intersection of climate stress, food system vulnerabilities, and nutritional challenges, presenting an integrated framework that links environmental pressures with dietary outcomes. Using a comparative and analytical approach, the research identifies the limitations of current strategies and highlights the need for climate-resilient food production, including climate-smart agriculture, crop diversification, technological innovation, and localized circular food systems. The study further outlines pathways toward sustainable human diets that balance nutritional adequacy with environmental stewardship, emphasizing plant-based dietary patterns, biofortified crops, and culturally adaptive nutrition models. The findings underscore that achieving nutritional security under climate stress requires coordinated action across policy, governance, production systems, and consumer behavior. This work contributes to the evolving discourse by proposing strategic, science-driven solutions for building adaptive, nutritious, and sustainable global food futures.

This study investigates the influence of fin morphology on predator-prey dynamics among selected fish species in Kwatan Giwa River, Niger State, Nigeria. A total of 192 fish samples representing eight species were collected biweekly from June to August 2024 at the Kwatan Giwa River fish landing site. Fish species were identified using standard taxonomic guides. Morphometric measurements of tail, pectoral, dorsal, and ventral fins were recorded using vernier calipers. Gut content analysis was conducted following modified Waraniak et al., (2019) procedures to determine dietary components and establish trophic relationships. Data were statistically analyzed to assess variations in fin structures and their ecological implications. The findings revealed significant interspecific variations in fin morphology. Species like Tilapia zilli and Auchenoglanis biscutatus possessed higher pectoral and ventral fin lengths, facilitating better maneuverability and habitat adaptability. Conversely, Siluranodon auritus exhibited consistently low fin measurements, indicating limited mobility and habitat specialization. The gut analysis revealed that Clarias gariepinus, identified as a piscivorous predator, had gut contents containing scales and remains of Tilapia spp, juvenile Synodontis, Labeo senegalensis, and Marcusenius senegalensis. In contrast, Tilapia spp, Labeo senegalensis, Auchenoglanis biscutatus, and Siluranodon auratus showed no fish remains in their guts, indicating non-piscivorous diets. The study successfully highlighted the relationship between fin size and predation strategies among selected fish species in the study area. However, Efforts should be made to protect the natural habitats of these fish species from degradation due to pollution, deforestation, and human encroachment.

Many studies have reported that lutein have positive effects in different clinical conditions, thus ameliorating cognitive function, decreasing the risk of cancer, and improving measures of cardiovascular health. This study investigates the potential neuroprotective effects of lutein, a carotenoid with antioxidant properties against sodium azide-induced amnesia in mice. A total of thirty (30) healthy mice weighing 19g - 35g were used for this study. The mice were acclimatized and divided into six groups (n= 5 per group) which are; Group 1 (Control group), Group 2 (Sodium azide only), Group 3(Sodium azide + 20mg/kg of lutein), Group 4 (Sodium azide + 40mg/kg of lutein), Group 5 (Sodium azide + 60mg/kg of lutein), Group 6 (Sodium azide + Donepezil). Motor deficits were assessed using behavioral tests like Barnes maze test, Hand grip test, Rotarod test and Y maze test. While biochemical analysis was performed to evaluate oxidative stress markers, inflammatory cytokines and neurotransmitters. The results demonstrate that the mice treated with sodium azide only had a significantly higher latency compared to the control group. This suggests that sodium azide negatively impacted spatial learning and memory as indicated by the increased time taken to find the target. Lutein, especially at 40mg/kg and 60mg/kg as well as Donepezil (the standard drug) has neuroprotective effects against the spatial learning and memory deficits induced by sodium azide in mice. This study shows that sodium azide induced both motor symptoms such as agnosia and non-motor symptoms such as impaired memory, oxidative stress in mice and lutein an antioxidant carotenoid possesses a dose dependent increase in learning ability and cognitive functions and decrease in oxidative stress.