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Soybean yield prediction is one of the most critical activities for increasing agricultural productivity and ensuring food security. Traditional models often underestimate yields because of limitations associated with single data sources and simplistic model architectures. These prevent complex, multifaceted factors influencing crop growth and yield from being captured. In this line, this work fuses multi-source data—satellite imagery, weather data, and soil properties—through the approach of multi-modal fusion using Convolutional Neural Networks and Recurrent Neural Networks. While satellite imagery provides information on spatial data regarding crop health, weather data provides temporal insights, and the soil properties provide important fertility information. Fusing these heterogeneous data sources embeds an overall understanding of yield-determining factors in the model, decreasing the RMSE by 15% and improving R² by 20% over single-source models. We further push the frontier of feature engineering by using Temporal Convolutional Networks (TCNs) and Graph Convolutional Networks (GCNs) to capture time series trends, geographic and topological information, and pest/disease incidence. TCNs can capture long-range temporal dependencies well, while the GCN model has complex spatial relationships and enhanced the features for making yield predictions. This increases the prediction accuracy by 10% and boosts the F1 score for low-yield area identification by 5%. Additionally, we introduce other improved model architectures: a custom UNet with attention mechanisms, Heterogeneous Graph Neural Networks (HGNNs), and Variational Auto-encoders. The attention mechanism enables more effective spatial feature encoding by focusing on critical image regions, while the HGNN captures interaction patterns that are complex between diverse data types. Finally, VAEs can generate robust feature representation. Such state-of-the-art architectures could then achieve an MAE improvement of 12%, while R² for yield prediction improves by 25%. In this paper, the state of the art in yield prediction has been advanced due to the employment of multi-source data fusion, sophisticated feature engineering, and advanced neural network architectures. This provides a more accurate and reliable soybean yield forecast. Thus, the fusion of Convolutional Neural Networks with Recurrent Neural Networks and Graph Networks enhances the efficiency of the detection process. Full article

Nitric oxide (NO) is a multifunctional signaling molecule in plants, playing key roles in germination, microbial symbiosis, and nodule formation. However, its instability requires innovative approaches, such as using nanoencapsulated NO donors, to prolong its effects. This study evaluated the impact of treating soybean (Glycine max) seeds with the NO donor S-nitrosoglutathione (GSNO), encapsulated in polymeric nanoparticles, on the germination, nodulation, and plant growth. Seeds were treated with free GSNO, chitosan nanoparticles with/without NO (NP CS-GSNO/NP CS-GSH, where GSH is glutathione, the NO donor precursor), and alginate nanoparticles with/without NO (NP Al-GSNO/NP Al-GSH). Chitosan nanoparticles (positive zeta potential) were smaller and released NO faster compared with alginate nanoparticles (negative zeta potential). The seed treatment with NP CS-GSNO (1 mM, related to GSNO concentration) significantly improved germination percentage, root length, number of secondary roots, and dry root mass of soybean compared with the control. Conversely, NP CS-GSH resulted in decreased root and shoot length. NP Al-GSNO enhanced shoot dry mass and increased the number of secondary roots by approximately threefold at the highest concentrations. NP CS-GSNO, NP Al-GSNO, and NP Al-GSH increased S-nitrosothiol levels in the roots by approximately fourfold compared with the control. However, NP CS-GSNO was the only treatment that increased the nodule dry mass of soybean plants. Therefore, our results indicate the potential of chitosan nanoparticles to improve the application of NO donors in soybean seeds. Full article

Foundries generate millions of tons of waste annually, posing a challenge to companies that generate it and to the environment due to landfill disposal. Meanwhile, the construction sector contributes heavily to global resource consumption. Adopting a circular economy approach by integrating foundry wastes into construction materials offers two main benefits: reducing landfill accumulation and preserving natural reserves of raw materials while also supporting the UN’s Sustainable Development Goals. This paper presents a review of recent studies on the use of foundry wastes in construction materials and provides an overview of the foundry industry, including its background, waste management, and statistics. Furthermore, a bibliometric analysis highlights the evolution of research in this area, showing a 182% increase in publications over the last 10 years. Key findings include that waste foundry sand is the most widely utilized foundry waste in construction materials, while ceramic mold shells and paraffin waxes remain underexplored. Concrete is the primary material incorporating foundry waste. The incorporation of foundry waste into construction materials improves durability and mechanical strength when used in appropriate proportions. The replacement content can reach up to 100%. These results underscore the feasibility of foundry waste as a sustainable alternative in construction, building circularity, and reducing environmental impact. Full article

The relationship between race and labour has been analyzed from different theoretical perspectives. Some have focused on the connection between race and the extraction of surplus from people of colour, Black people in particular Others have integrated race within the context of capitalism as a world system or have focused on race as a category of exploitation that defines both feudalism and capitalism that is essential for the survival of capitalism. This paper argues that, to understand the relation between race and labour, race must be understood as legal status. Race is a set of legal rights given to or withheld from workers because of loosely defined and arbitrarily selected physical characteristics. By assigning different rights to workers based on race, their labour is racialized, and race becomes an important element to the functioning of capitalism because it defines the value of labour. As legal status, race is defined and enforced by the state. In addition, this paper analyses the development of US naturalization and immigration law from 1790 to 1964, selected as an example of the process of racialization of labour. Specifically, it discusses the process of racialization of labour by connecting it to the concept of Westphalian sovereignty and the differentiation between natural and political rights. It concludes that, between 1790 and 1965, race supported the development and stability of US capitalism through the development of three distinct highly racialized labour markets: the Northeast, mostly defined by the racialization of European workers along a scale of whiteness; the West, determined by the racialization of Asian and, later, Latino workers; and the South, characterized by the racialization of African Americans and selected southern European workers, Italians in particular, and, later, Latino workers. These three markets operated in symbiosis with each other and featured different forms of racialization of labour, as defined by different forms of enforcement of race as legal status, ranging from the Chinese Exclusion Act of 1882 on the West Coast to the Jim Crow System that emerged in the southern states after the Compromise of 1877 and the Immigration Act of 1924 that dramatically limited immigration from southern and Eastern Europe. Full article

The timely and reliable prediction of crop yields on a larger scale is crucial for ensuring a stable food supply and food security. In the last few years, many studies have demonstrated that deep learning can offer reliable solutions for crop yield prediction. However, a key challenge in applying deep-learning models to crop yield prediction is their reliance on extensive training data, which are often lacking in many parts of the world. To address this challenge, this study introduces TrAdaBoost.R2, along with fine-tuning and domain-adversarial neural network deep-transfer-learning strategies, for predicting the winter wheat yield across diverse climatic zones in the USA. All methods used the bidirectional LSTM (BiLSTM) architecture to leverage its sequential feature extraction capabilities. The proposed transfer-learning approaches outperformed the baseline deep-learning model, with mean absolute error reductions ranging from 9% to 28%, demonstrating the effectiveness of these methods. Furthermore, the results demonstrate that the semi-supervised transfer-learning approach using the two-stage version of TrAdaBoost.R2 and fine-tuning achieved a superior performance compared to the domain-adversarial neural network and standard TrAdaBoost.R2. Additionally, the study offers insights for improving the accuracy and generalizability of crop yield prediction models in diverse agricultural landscapes across different regions. Full article

Agricultural innovations in the past decades have addressed the mounting challenges of food, feed, and biofuel security. However, the overreliance on synthetic fertilizers and pesticides in agriculture has exacerbated biodiversity loss, environmental degradation, and soil health deterioration. Leveraging beneficial soil microorganisms, particularly arbuscular mycorrhizal (AM) fungi, offers an emerging solution to reduce dependence on synthetic agrochemicals in crop production. Understanding the mechanisms can help maximize AM fungi’s benefits in response to abiotic stresses. In this review, we explore the main mechanisms of AM fungi in promoting soil nutrient mobilization and uptake, increasing water absorption, stimulating antioxidative enzyme activities, altering morphophysiological structure, and performing hormonal crosstalk when mycorrhizal plants face an abiotic stressor. Also, we highlight the necessity of innovating practical ways to cope with variations in AM fungal species, diversity in host species, soil, and environmental conditions, as well as difficulties in mass multiplication for commercialization. Understanding the mechanisms and limitations may help explore the biofertilizer potential of AM fungal symbiosis, benefiting crop production while addressing the environment and soil health issues. Full article

The COVID-19 pandemic has reshaped various aspects of life, influencing consumer behaviors and economic activities worldwide. This paper delves into the shifts in consumer preferences and shopping patterns for gardening products and services during and after the pandemic era. Through nationwide online surveys conducted from 2020 to 2022, we analyze changes in time spent and expenses on gardening and identify key demographic and pandemic-related factors influencing these behaviors during the pandemic era. We employed both generalized and standard ordered logistic regression models to assess the impact of various variables on the ordinal dependent variable. The findings reveal a significant surge in both time spending on home gardening activities and money invested in gardening products and services, especially among individuals who considered gardening beneficial for well-being and as a family activity. Notably, the preference for online shopping and mail delivery for gardening supplies emerged as a prominent trend during the pandemic, accompanied by a significant increase in the purchase of fruit plants, vegetable plants, and seeds, indicating that primary motivation for gardening was self-food consumption. These insights provide valuable guidance for businesses in the green industry, informing production, marketing practices, and economic recovery efforts post-COVID-19. Full article

Robinia pseudoacacia is native to North America and has been introduced into many other countries in Europe, South and South East Asia, South America, Africa, and Oceania. The species has been planted intensively in a large area of these countries because of its ornamental and economic values. However, R. pseudoacacia often infests unintended places, including protected areas, and causes significant ecological impacts. The species is now listed as one of the harmful invasive plant species. The characteristics of its life-history, such as the high growth and reproduction rate and adaptive ability to various environmental conditions, may contribute to the invasiveness of the species. The defense ability against natural enemies such as pathogenic fungi and herbivores and its allelopathic potential against the competitive plant species may also contribute to its invasiveness. The R. pseudoacacia infestation alters the ecological functions of the plant community, including the soil microbe community, and reduces the abundance and diversity of the native plant species, including vertebrates and invertebrates in the introduced ranges. R. pseudoacacia is a shade intolerant and early successional tree species and is replaced by larger and more shade tolerant tree species in the native ranges, while plant succession seems not to occur always in the introduced ranges across the different ages of R. pseudoacacia stands. Several other review articles have summarized the afforestation, utilization, biology, and management of the species, but this is the first review focusing on the invasive mechanism of R. pseudoacacia and its impacts on species diversity. Full article

Heavy metal pollution from industrial activities and poor waste disposal poses significant environmental and health threats to humans and animals. This calls for sustainable approaches to the cleanup of heavy metals. This review explores metal tolerance mechanisms of bacteria such as the formation of biofilms, efflux systems, and enzymatic detoxification. These mechanisms allow bacteria communities to adapt and survive in contaminated environments. These adaptations are enhanced by mutations in the bacteria genes and by horizontal gene transfers, enabling bacteria species to survive under environmental stress while simultaneously contributing to nutrient cycling and the decomposition of organic matter. This review further explores the symbiotic interactions between bacteria, plants, and animals. These relationships enhance the metal tolerance ability of the different living organisms involved and are also very important in the bioremediation and phytoremediation of heavy metals. Plant growth-promoting rhizobacteria, Rhizobium, and Bacillus species are very important contributors to phytoremediation; they improve heavy metal uptake, improve the growth of roots, and plants resilience to stress. Moreover, this review highlights the importance of genetically engineered bacteria in closed-loop systems for optimized metal recovery. This offers environmentally friendly and sustainable options to the traditional remediation methods. Engineered Cupriavidus metallidurans CH34 and Pseudomonas putida strain 15420352 overexpressing metallothioneins have shown enhanced metal-binding capabilities, which makes them very effective in the treatment of industrial wastewaters and in biosorption applications. The use of engineered bacteria for the cleanup of heavy metals in closed-loop systems promotes the idea of a circular economy by recycling metals, thus reducing environmental waste. Multidisciplinary research that integrates synthetic biology, microbial ecology, and environmental science is very important for the advancement of metal bioremediation technologies. This review’s analysis on bacterial metal tolerance, symbiosis, and bioengineering strategies offers a pathway to effective bioremediation options, for the reclamation of heavy metal-polluted environments while promoting sustainable environmental practices. Full article

The differences in the heritage perspectives of key stakeholders form an indispensable basis for formulating appropriate conservation strategies for living heritage. However, in existing practices, the differences in heritage perspectives between experts and local residents, who are both key stakeholders, often arise from expert experiences rather than being accurately measured. This study regarded traditional Chinese villages in the Luzhong region as a living heritage case for investigation and quantified such differences. Initially, this study provided a comprehensive description of living heritage using four dimensions: heritage value, heritage attributes, heritage composition, and heritage characteristics. Subsequently, a questionnaire tailored to traditional Chinese villages was developed, and a survey was conducted in the sample villages, resulting in 394 valid responses. According to the Pearson chi-square tests, the findings suggest that expert and local resident respondents showed slight disagreement regarding heritage attributes (x² = 5.619); however, they presented varying degrees of differences concerning heritage value (x² = 36.066) and heritage composition (x² = 36.525), accompanied by distinct preferences. Furthermore, significant discrepancies were evident regarding heritage characteristics. Regarding the four aspects of heritage characteristics, there was a slight difference in the symbiosis of heritage elements (x² = 3.877) but significant differences in the local resident as a heritage element (x² = 36.525); there was a minor difference in vitality and continuity (x² = 3.709) but a rare contradiction for integrity (x² = 47.649). This study can furnish case data support for surmounting the drawbacks of blindly relying on expert experiences, particularly by integrating local perspectives to safeguard living heritage globally. Full article

The increase in extreme climate events associated with global warming is a great menace to crop productivity nowadays. In addition to abiotic stresses, warmer conditions favor the spread of infectious diseases affecting plant performance. Within this context, beneficial microbes constitute a sustainable alternative for the mitigation of the effects of climate change on plant growth and productivity. Used as biostimulants to improve plant growth, they also increase plant resistance to abiotic and biotic stresses through the generation of a primed status in the plant, leading to a better and faster response to stress. In this review, we have focused on the importance of a balanced redox status for the adequate performance of the plant and revisited the different antioxidant mechanisms supporting the biocontrol effect of beneficial microbes through the adjustment of the levels of reactive oxygen species (ROS). In addition, the different tools for the analysis of antioxidant responses and redox regulation have been evaluated. The importance of redox regulation in the activation of the immune responses through different mechanisms, such as transcriptional regulation, retrograde signaling, and post-translational modification of proteins, emerges as an important research goal for understanding the biocontrol activity of the beneficial microbes. Full article

Mycorrhizal inoculants can contribute to the development of corn crops by improving crop productivity. In this sense, the objective of this study was to evaluate the effects of a mycorrhizal inoculant on the dynamics of root system growth, gas exchange, corn crop productivity, and microbial activity in the rhizospheric soil in a no-till area with different levels of available soil phosphorus. The experiment was conducted during the 2019/2020 and 2020/2021 growing seasons. At 75 days after plant emergence, root morphological parameters (total root length (cm), average root diameter (mm), root surface area (cm²), and root volume), shoot biomass production, P content in the plant shoots, gas exchange, and microbiological attributes of the rhizospheric soil of corn were evaluated. At the end of the cycle, corn grain yield was determined. A beneficial effect of AMF inoculation was observed on the root and shoot parameters regardless of soil P level. Under conditions of evenly distributed rainfall during the experiment (2019/2020 season), AMF inoculation contributed to a 90% increase in acid phosphatase activity and a 76% increase in microbial biomass carbon (C-BIO), independent of soil P level. In contrast, under water deficit conditions (2020/2021 season), AMF inoculation provided a 29% increase in grain yield. We concluded that introducing a commercial mycorrhizal inoculant in corn benefits root system morphological parameters and physiological traits, and favors the activity of enzymes related to increased P availability, contributing to increased crop productivity in a no-till system. Full article

Humanity is currently in the midst of a number of serious ecological crises. Various scientific, philosophical, and religious ideas have been put forth in response to these global crises. Here, I suggest that the solutions to ecological problems can be best achieved when we undergo an essential change in our perspective on the existence and value of the natural world. In this regard, interreligious engagement and research, which address the multiple worldviews that emerge from individual religions and philosophies, have great potential to fundamentally transform our view of ecosystems. The problem is how to conduct such interreligious engagement and research, which has—unfortunately—to this point been overlooked. In this context, I propose the “four-step method of interreligious sympoiesis to address the ecological crisis”. This is a phenomenological–hermeneutic method that involves the following steps: (1) Suspension of Judgment (Epoché): the mind’s performing an epoché, which is taken as an ethical or religious vow; (2) Empathetic Reduction: the mind’s engaging in empathy with non-human beings; (3) Symbiotic Reduction: the mind’s envisioning of proper coexistence between humans and non-human beings in both minimal and maximal ways; (4) Interreligious Hermeneutical Synthesis: the arranging and synthesizing of the ideas obtained from the above reductions in a specific or comprehensive manner from an interreligious perspective. This paper aims to expound and defend these ideas. Full article

Acrostichum aureum is a halophytic pantropical invasive fern growing in mangroves and swamps. Its association with arbuscular mycorrhizal fungi (AMF) has been reported in Asia. AMF and their symbiosis (AM) commonly colonise the absorption organs of terrestrial plants worldwide. Furthermore, AMF/AM are well known for their capacity to bioaccumulate toxic elements and to alleviate biotic and abiotic stress (e.g., salinity stress) in their hosts. However, the mechanisms underlying AMF involvement in the halophytism of A. aureum and the structures where NaCl accumulates remain unknown. This study shows that A. aureum forms AM in margins of natural thermal ponds in Neotropical wetlands. All mature sporophytes were colonised by AMF, with high percentages for root length (ca. 57%), arbuscules (23), and hyphae (25) and low values for vesicles (2%). In A. aureum–AMF symbiosis, NaCl accumulated in AMF vesicles, and CaSO₄ precipitated in colonised roots. Therefore, AM can contribute to the halophytic nature of this fern, allowing it to thrive in saline and thermal environments by capturing NaCl from fern tissues, compartmentalising it inside its vesicles, and precipitating CaSO₄. Full article

Agricultural systems are particularly impacted by global climate change (CC), responsible for the introduction of multiple environmental stressors negatively affecting plant growth. Soil microbial communities are crucial in agricultural practices, influencing crop performance and soil health. Human activities and CC threaten soil microbial biodiversity, leading to soil quality degradation and decreasing plant health and productivity. Among plant-beneficial microorganisms, mycorrhizal fungi are widespread in terrestrial ecosystems, including agroecosystems, and they play a key role by enhancing plants’ fitness and resilience to both abiotic and biotic stresses. Therefore, exploring the role of mycorrhizal symbiosis in sustainable agriculture has become increasingly critical. Moreover, the application of mycorrhizal bioinoculants could reduce dependence on inorganic fertilizers, enhance crop yield, and support plants in overcoming environmental stresses. This review, after briefly introducing taxonomy, morphology and mechanisms supporting the symbiosis establishment, reports the roles of mycorrhizal fungi and their associated bacteria in improving plant nutrition and mitigating CC-induced abiotic stresses such as drought and salinity, also giving specific examples. The focus is on arbuscular mycorrhizal fungi (AMF), but ericoid mycorrhizal (ErM) fungi are also considered as promising microorganisms for a sustainable agricultural model. New emerging concepts are illustrated, such as the role of AMF hyphosphere in acting as a preferential niche to host plant growth-promoting bacteria and the potential of ErM fungi to improve plant performance on Ericaceae plants but also on non-host plants, behaving as endophytes. Finally, the potential and limitations of mycorrhizal-based bioinoculants are discussed as possible alternatives to chemical-based products. To this aim, possible ways to overcome problems and limitations to their use are discussed such as proper formulations, the systematic check of AMF propagule viability and the application of suitable agronomical practices in the field. Full article