Production Patterns Research Articles

A - 136 Clinical Features of Agrammatism in Spanish Speakers with Non-Fluent/Agrammatic Variant of Primary Progressive Aphasia (Nappa): a Case Study Analysis

Abstract Objective A clinical diagnosis of naPPA includes presence of agrammatism and effortful speech (Gorno-Tempini et al., 2011). Agrammatism, specifically verb agreement, has emerged as a key clinical feature distinguishing PPA subtyping in English (Thomson et al., 2012). Patterns of agrammatism in English are well-established and were thought to extend to other languages (Gorno-Tempini et al., 2004; Benedet et al., 1998). Agrammatism in post-stroke Spanish patients has unique linguistic characteristics including gender-object agreement errors (Benedet et al., 1998; Reznik et al., 1995, Ardila, 2001). Research assessing agrammatism in PPA Spanish speakers is limited (Gonzalez et al., 2022). These three cases describe gender agreement errors as a clinical feature of agrammatism in Spanish speakers with naPPA. Method Three Spanish-dominant patients with primary speech deficits underwent neuropsychological evaluation across three outpatient clinics and were diagnosed with naPPA (all had brain MRI, two had FDG-PET). Narrative language samples were analyzed to explore patterns of agrammatic language production. Results Patients made few to no verb agreement errors. Instead, common errors included inconsistent speech sounds and gender disagreement within common object-article pairings, including substitutions in Spanish-language articles like “el” or “la” (e.g., “el silla”). Conclusions These cases revealed gender-object agreement errors as a consistent clinical feature of agrammatism in Spanish naPPA patients. Research assessing the linguistic profiles and agrammatisms of Spanish-speaking PPA patients, with confirmatory neuroimaging and biomarker correlates, is needed to aid clinicians in differentiating PPA subtypes among Spanish speakers. This is especially important with emergence of new disease modifying treatments specifically helpful in some but not all subtypes.

Implementing strong sustainability in a design process

The emergence of a post-growth era is expected that implies rethinking the production and consumption patterns with novel design models this forces higher educational institutions to reconsider their traditional ways of teaching sustainability in their curricula. Companies also need to overcome strategies that compartmentalize environment, society and economy in their industrial strategy in order to evolve in their support for the transition. The aim of this paper is to present a design process anchored in the Strong Sustainability paradigm to overcome the gap of how Strong Sustainability could be operationalised. Design Research Methodology (DRM) has been chosen as the supporting framework for the development of this project. The Design for Strong Sustainability (DfSoSy) methodology proposed, is built on three aspects of Strong Sustainability (Milieu, Regeneration, Safe and just operating space) successively applied in a sequenced iterative design process. The latter enable the integration of thought patterns associated with integrative, systemic and fractal or multi-scale thinking respectively. Moreover, the principle of sub-optimality is highlighted as a decision principle in SoSy. Results obtain has been validated as well on the pedagogical objectives as in the usefulness of the DfSoSy. The practical contribution of this study is the DfSoSy toolkit©.

Stay circular economy, empowerment, and natural resource utilization factual factors for SDG 12? The principal role of digital technologies

Recently, the UN has suggested several green initiatives to adopt renewable energy consumption in human & economic activities. Therefore, most practitioners have followed the responsible production & consumption (RP&C) pattern under SDG 12 to increase economic progress. This study considers the top 15 circular economies that are ruthless in producing and consuming energy greenly. This study finds the circular economy, digital technologies, natural resource utilization, empowerment, environmental policy, and environmental degradation as decisive factors for the RP&C of energy. Similarly, the current empirical research utilizes an advanced series of estimators to investigate the study's objective. However, the long-term outcomes show a significant contribution to responsible production by circular economy while remaining insignificant for production. Under RP&C base models, this study obtains a 1.830% change in consumption and 0.135% in energy production via a significant shift in digital technologies. Furthermore, environmental policy and empowerment are positively associated with RP&C in the specified region. The role of natural resources is inversely but insignificantly related to responsible consumption and vice versa for the production side. Rising environmental concerns show a heterogeneous role for both models. This study also investigates the mediating role of digital technologies on circular economy, natural resources, and empowerment and supports the positive association in RP&C. This study suggests some implications to support SDG 12 further.

The vision of the circular factory for the perpetual innovative product

Abstract The growing scarcity of global resources demands a transition from linear to circular production patterns. This article presents a novel vision for integrating linear and circular production processes within a flexible and autonomous production system to achieve perpetual product use. The approach aims to preserve the added value of products and to integrate the design of product generations and production systems. Within the circular factory, the following core aspects must be examined: predicting functions of products, managing uncertainty in used products and process sequences, learning human action for complex tasks, implementing changeable, autonomous production systems, and enabling knowledge modeling for the circular factory across domains. Aspired results are a design for circular factory, effective strategies for uncertainty management and autonomous systems adaptation as well as the externalization of operational knowledge. This research is part of the Collaborative Research Center (CRC) 1574, which explores these aspects in detail. For an in-depth understanding of specific components, it is referred to other publications by the CRC 1574.

Pesticide Use, Regulation, and Policies in Indian Agriculture

This research paper presents a comprehensive analysis of pesticide use in global and Indian agriculture, focusing on the mounting food security challenges due to population growth and the increased demand for food and fiber crops. While pesticides are crucial in mitigating losses due to pests, diseases, and weeds, increasing apprehension regarding their adverse effects on human and environment health necessitates a critical examination of their usage patterns. Despite India’s relatively low per-hectare pesticide usage of 0.4 kg compared to China’s 1.83 kg, issues with pesticide residue contamination in the food chain require urgent attention. Additionally, significant regional disparities in pesticide application highlight the need for more uniform and sustainable agricultural practices. Therefore, this study examines the evolving trends in global and Indian pesticide application, providing a comprehensive analysis of the shifting dynamics across various Indian states and crop varieties. Furthermore, it analyzes various pesticide categories and their respective market shares, providing insights into production and export patterns. Our research also explores regulatory frameworks aimed at optimizing pesticide use while minimizing detrimental effects on human health and the environment.

Global sustainability scenarios lead to regionally different outcomes for terrestrial biodiversity

Abstract Mitigating climate change (CC) and reversing biodiversity decline are urgent and interconnected global priorities. Strategies to address both crises must consider the relationships, synergies and trade-offs between key response measures, including sustainable production and consumption patterns, protected areas (PAs) and climate mitigation policy (CP). In this paper, we review a large set of scenarios (n = 96) from the Integrated Model to Assess the Global Environment (IMAGE) describing future development of land use, greenhouse gas emissions and their impact on CC and biodiversity. We calculate the global mean temperature increase (GMTI) and the Mean Species Abundance (MSA) of plants, a metric indicative of local terrestrial biodiversity intactness. The set includes scenarios with and without specific CP to address CC, PA for biodiversity and demand and supply sustainability measures such as increased energy efficiency and reduced meat consumption. Our findings indicate that scenarios with integrated measures can prevent biodiversity loss at the global scale, yet with clear regional differences. By 2050, 15 out of 30 (50%) scenarios with at least 30% of global land as PAs show positive MSA changes in grasslands and tropical non-forests (Grass & TnF), but only 1 (3%) does so in tropical forests (TF). We demonstrate that pasture and food/feed crops are the main drivers of MSA loss in Grass & TnF and that scenarios with high levels of PAs prevent land conversion and increase biodiversity. By 2100, 28 out of 46 (60%) scenarios with mitigation measures to restrict CC to 2 °C or less in 2100 result in positive MSA changes in TF, but only 13 (28%) do so in Grass & TnF, reflecting the larger impacts of land use change in the latter region. These results underscore the importance of time and regionally-tailored approaches to address the biodiversity and CC crises.

Metabolite release by nitrifiers facilitates metabolic interactions in the ocean.

Microbial chemoautotroph-heterotroph interactions may play a pivotal role in the cycling of carbon in the deep ocean, reminiscent of phytoplankton-heterotroph associations in surface waters. Nitrifiers are the most abundant chemoautotrophs in the global ocean, yet very little is known about nitrifier metabolite production, release, and transfer to heterotrophic microbial communities. To elucidate which organic compounds are released by nitrifiers and potentially available to heterotrophs, we characterized the exo- and endometabolomes of the ammonia-oxidizing archaeon Nitrosopumilus adriaticus CCS1 and the nitrite-oxidizing bacterium Nitrospina gracilis Nb-211. Nitrifier endometabolome composition was not a good predictor of exometabolite availability, indicating that metabolites were predominately released by mechanisms other than cell death/lysis. Although both nitrifiers released labile organic compounds, N. adriaticus preferentially released amino acids, particularly glycine, suggesting that its cell membranes might be more permeable to small, hydrophobic amino acids. We further initiated co-culture systems between each nitrifier and a heterotrophic alphaproteobacterium, and compared exometabolite and transcript patterns of nitrifiers grown axenically to those in co-culture. In particular, B vitamins exhibited dynamic production and consumption patterns in nitrifier-heterotroph co-cultures. We observed an increased production of vitamin B2 and the vitamin B12 lower ligand dimethylbenzimidazole by N. adriaticus and N. gracilis, respectively. In contrast, the heterotroph likely produced vitamin B5 in co-culture with both nitrifiers and consumed the vitamin B7 precursor dethiobiotin when grown with N. gracilis. Our results indicate that B vitamins and their precursors could play a particularly important role in governing specific metabolic interactions between nitrifiers and heterotrophic microbes in the ocean.

INNOVATIVE BUSINESS MODELS IN THE CIRCULAR ECONOMY: AN ANALYSIS OF GOOD PRACTICES FOR ELECTRICAL AND ELECTRONIC EQUIPMENT ON THE EUROPEAN CIRCULAR ECONOMY STAKEHOLDER PLATFORM

The pervasive integration of electronic technologies in the contemporary digital landscape underscores the significance of electrical and electronic equipment (EEE). Beyond their utility in daily life, certain components within EEE, hold classification as critical raw materials (CRMs) and transforms cities into urban mines. This issue highlights the necessity of optimizing its sustainable consumption and production patterns at all stages of the life cycle and across various sectors. The optimization of the complete product life cycle serves as a foundational pillar of the circular economy (CE). While the transition from a linear to a CE has been a longstanding objective promoted by the EU, a comprehensive mapping elucidating potential shortcoming in the effective implementation of this transition in Europe for the field of EEE remains elusive. This paper seeks to investigate the state-of-the-art of CE good practices for EEEs in Europe, shedding light on potential strengths and challenges to be addressed. To obtain an empirical perspective, the European Circular Economy Stakeholder Platform (ECESP) serves as a tool to delineate the trajectory of progress throughout the transition to a CE. The analysis encompasses both life cycle phases and the production sector. The findings underscore a prevailing focus on the product's end-of-life phase and sectors associated with recycling and waste management, while the initial life cycle phase remains underexplored in terms of eco-design solutions or innovative processes. On a positive note, several instances of new business models have emerged, redirecting consumption emphasis towards services.

Maintenance of Lexical Pitch Accent in Heritage Lithuanian: A Study of Perception and Production

This study investigates how the unique circumstances of heritage language acquisition impact prosody, an understudied aspect of heritage speech. I examine the perception and production of lexical pitch accent by two generations of heritage Lithuanian speakers in Chicago (n = 13), with a qualitative comparison to one normative native speaker also living in Chicago. The speakers participated in the following: (1) a perception task requiring them to identify meaning distinctions between pairs of words that differ only by accent; and (2) a production task in which they produced sentences containing nine nominal declensions, where pitch accent plays a morphological role. In task (1), speakers across the board were not able to identify meaning distinctions in accent-based minimal pairs, irrespective of their frequency, and were more accurate at perceiving pairs that differed on the basis of segmental phonological features. However, HSs with more education perceived more accent-based distinctions, as did HSs who were more engaged in the Chicago community. Older HSs maintained more distinctions than either the NS or the younger HSs, which suggests a change in progress in the language or the Chicago Lithuanian community. In task (2), none of the speakers consistently used pitch to signal word-level prominence. Instead, all speakers relied on changes in duration and vowel quality to signal word-level prominence, suggesting that, for these speakers, there has been a shift to a stress-accent system. The older HSs was also patterned more like the NS in their retention of the expected stress in the nominal declensions. Dialect was also determined to play a role in the retention of standard accent patterns in both perception and production.

Utilization Patterns of Milk and Milk Products among Various End Users in Karnataka, India: A Comparative Analysis

The utilization patterns of milk and milk products in Karnataka were investigated through a study of 100 farmers and 50 consumers. The focus was on how milk was retained, consumed and transformed into various products. It was found that significant variation existed in milk production and consumption across different herd sizes. Small, medium, and large farmers were reported to produce an average of 33.80, 45.18 and 66.26 liters of milk per day, respectively, with family consumption accounting for 19.23 per cent, 17.37 per cent and 15.84 per cent of their production. Larger herds were associated with increased milk production, which allowed for a greater surplus to be sold. Utilization patterns showed that small farmers retained 6.5 liters of milk daily, consuming 32.94 per cent as liquid milk and converting 64.23 per cent into curd, with minimal ghee production. In contrast, large farmers retained 10.5 liters daily, consuming 43.80 per cent as liquid milk and converting 53.12 per cent into curd. This indicated a trend towards higher liquid milk consumption and varying product transformation depending on herd size. Consumer data indicated that rural households spent an average of ₹141.18 on 2.41 kg of milk products daily, while urban households spent ₹142.10 on 2.25 kg. Despite higher costs, urban consumers spent more on liquid milk, whereas rural consumers allocated more to curd and ghee. These findings reflected regional price differences and consumption preferences. Overall, the study highlighted the complex dynamics of milk utilization, with varying consumption patterns and product transformations observed across different farmer categories and consumer demographics. This information was deemed crucial for optimizing milk production and distribution strategies in Karnataka.

Dark Carbon Fixation Measurements in the East Sea (Sea of Japan)

The vertical distribution patterns of daily primary production and dark carbon fixation were investigated at three stations in the East/Japan Sea (hereafter East Sea), a semi-enclosed marginal sea in the northwest Pacific Ocean. Our results displayed consistent vertical patterns of daily primary production at two of the stations, while the third station exhibited a markedly different distribution pattern, highlighting localized variations in production dynamics. In contrast, dark carbon fixations displaying varying vertical patterns among the stations are not specific enough to have much meaning. Water column-integral values showed differences in the contribution of dark carbon fixation to total primary production, ranging from 4.5% to 27.1%. These variations may reflect environmental parameters such as nutrient concentrations. However, our study is limited by the lack of direct data on the microbial community structure and chemoautotrophic activities, which are crucial for a more comprehensive understanding of these patterns. Understanding the environmental drivers of dark carbon fixation is crucial for elucidating carbon cycling dynamics in the East Sea. Notably, dark carbon fixation could contribute up to one-third of primary production in the region as an additional source of newly produced organic matter, highlighting the need for further investigation into this previously overlooked process.

Sex steroid hormone residues in milk and their potential risks for breast and prostate cancer.

Milk was a source of important nutrients for humans and was especially important for children and adolescents. The modern dairy animal production pattern had contributed to residual sex steroid hormones in milk. When this milk was consumed by humans, these hormones entered the body leading to hormonal disruptions and potentially increasing the risk of various types of cancers. This article reviewed the presence of residual sex steroid hormones in milk, their potential risks on human health, and their possible association with the incidence of breast and prostate cancer. The potential linkage between dairy consumption and these cancers were described in detail. The hormones present in dairy products could affect the development and progression of these types of cancer. Sex steroid hormones could interact with different signaling pathways, influencing carcinogenic cascades that could eventually lead to tumorigenesis. Given these potential health risks, the article suggested appropriate consumption of dairy products. This included being mindful not just of the amount of dairy consumed, but also the types of dairy products selected. More scientific exploration was needed, but this review provided valuable insights for health-conscious consumers and contributed to the ongoing discussion on dietary guidelines and human health.

Impact of the COVID-19 Pandemic on the Performance of Selected Bakeries in Abuja, Nigeria

The food industry's role in developing any economy cannot be over-emphasized due to the significant investment of disposable income into the sector. However, the sudden emergence of the COVID-19 pandemic attracted global attention and significantly disrupted many countries' economic sectors. The study determined the production pattern of the Bakeries in Abuja and further assessed the impact of the COVID-19 pandemic on Bakery performance in Abuja. The study covers only staff selected from twenty (20) bakeries in Abuja using a multistage sampling technique. The first stage involved the selection of twenty (20) bakeries extracted from the listing of master baker’s association of Abuja using a purposive sampling technique. The second stage is the selection of ten (10) staff from each selected bakery in the study area using a simple random sampling technique, thus, making a total of 200 respondents to participate in the study. Data were obtained using a set of questionnaires along with interviews. Secondary data were sourced from the internet, libraries, Journals and reports. Data obtained were analysed using frequency counts, percentages, mean ratings, and Analysis of variance (ANOVA). The study revealed that Bakeries made nine (9) distinct aggregate products in Abuja. These comprise a combination of butter-filled Bread, Chocolate Bread, Wheat Bread, and Low-fat Bread. These products were indicated to be produced always by the bakeries. Finally, the analysis showed that there is a statistically significant (P<0.05) difference in the variation between the mean rating of Increase in sales volume (2.82), Increase in customer satisfaction (3.38), Increase in customer loyalty (3.49) and Customer buying decision (3.45). The study further shows that there is a statistically significant (P<0.05) difference in the variation between the mean rating of the Bread distribution (2.98). The study concludes that the COVID-19 pandemic lockdown significantly impacted the performance of bakeries in Abuja and recommends that the adopted quality of products be sustained to enhance this performance.

95 Temporal patterns of enteric gas production from cattle in response to ruminal infusions of synthetic bromoform

95 Temporal patterns of enteric gas production from cattle in response to ruminal infusions of synthetic bromoform

Predicting spatiotemporal patterns of productivity and grazing from multispectral data using neural network analysis based on system complexity

AbstractRemote sensing tools, along with Global Navigation Satellite System cattle collars and digital soil maps, may help elucidate spatiotemporal relationships among soils, terrain, forages, and animals. However, standard computational procedures preclude systems‐level evaluations across this continuum due to data inoperability and processing limitations. Deep learning, a subset of neural network, may elucidate efficiency of livestock production and linkages within the livestock‐grazing environment. Consequently, we applied deep learning to environmental remote sensing data to (1) develop predictive models for yield and forage nutrition based on vegetation indices and (2) at a pixel‐level (per 55 m2), identify how grazing is linked to soil properties, forage growth and nutrition, and terrain attributes in silvopasture and pasture‐only systems. Remotely sensed data rapidly and non‐destructively estimated herbage mass and nutritive value for enhanced net and primary productivity management in livestock and grazing systems. Cattle grazed big bluestem (Andropogon gerardii ‘Vitman’) with 182% greater frequency than orchardgrass (Dactylis glomerata L.) in the pasture‐only system. Real‐time estimates of vegetative bands may assist in predicting grazing pressure for more efficient pasture resource management. Cattle grazing followed distinct soil‐landscape patterns, namely reduced cattle grazing preference occurred in areas of water accumulation, which highlights linkages among terrain, soil‐water movement, soil properties, forage nutrition, and animal grazing response spatially and temporally. Results from this study could be scaled up to improve grazing management among the largest land‐use category in the United States, that is, grasslands, which would allow for sustainable intensification of forage‐based livestock production to meet growing demands for environmentally responsible protein.

How does enterprise digitalization affect corporate carbon emission in China: A firm-level study

This paper develops a theoretical framework to examine the influence of enterprise digitalization on corporate carbon emissions. Then it empirically measures the extent of digitalization in Chinese enterprises through their share of intermediate inputs to their value added from information and communication technologies. Data from the China Enterprise Tax Surveys and Inter-Country Input-Output Tables from 2007 to 2016 are used for the empirical analysis. It is noted that digitalization in enterprise manufacturing leads to an increase in corporate carbon emissions (CCE). The impact from the service sector, however, is not significant. The exacerbation of CCE is observed primarily among low-leverage enterprises, downstream industries, and firms located in relatively lower-income regions. In accordance with the theoretical model, it is observed that enterprise digitalization intensifies CCE by crowding out investment in environmentally friendly green production and by altering production patterns towards mass production. However, an efficient market mechanism effectively mitigates this exacerbation effect. The findings reveal the misalignment of enterprise digitalization transformation modes with long-term “low carbon” objectives, thereby exposing the need for appropriate policy interventions.

The war in Ukraine is changing plausible future socioeconomic scenarios leading to an unexplored outlook for biodiversity

AbstractShared socioeconomic pathways are a key tool in predicting biodiversity scenarios and in the subsequent design of environmental policies. Here, we discuss how recent policy changes to global trade routes, agriculture, and energy production in response to the war in Ukraine are impacting socioeconomic scenarios used to set and assess biodiversity targets. We also discuss how the disruption to the global geopolitical landscape provides a window of opportunity for policy reform and the radical societal paradigm shift that is needed to tackle the global biodiversity crisis. We call for the re‐evaluation of biodiversity targets with newly developed scenarios that reflect the changes made to production and consumption patterns. We also recommend establishing national biodiversity working groups to screen proposed policies for their potential risks to the drivers of biodiversity change, since policy decisions made in response to the war that seemingly are far removed from the environment can have lasting impacts on nature.

Spatial Patterns of Productivity and Human Development Potentials for Pinus pinea L.

Pinus pinea (stone pine), a Mediterranean species, is valued for its highly nutritious pine nuts and its ability to adapt to different environmental conditions. The species has been increasingly planted in Chile, where its main ecological requirements are met across a vast area. However, new plantations are established without considering social dimensions. Policymakers can regulate private decisions on tree planting through the appropriate design of economic incentives to foster social well-being. The objective of this work was to describe spatial patterns of potential areas for the cultivation of the exotic nut-bearing conifer P. pinea in central Chile and the possible correlation of those patterns with human development indices. Spatial data layers of the municipality development index (MDI), elevation, edaphoclimatic variables, and stone pine nut’s productive potential were overlapped at the municipality scale along 1225 km in central Chile. A spatial principal component analysis (sPCA) was used to integrate multiple dimensions, summarizing covariation structures, and identifying spatial patterns in the study area. Key results showed that spatial patterns of the potential productive index (PPI) were strongly regulated by the spatial pattern of climate and soil variables, whereas the spatial pattern of MDI showed a cryptic pattern and that the three dimensions of MDI—welfare, economy, and education—showed a different spatial movement, especially education and welfare. The results allow us to recommend that public policies boost municipality development through the promotion of P. pinea plantations and should target areas with a high productive potential and low MDI to generate socio-economic improvements. These findings are useful for the strategic spatial planning of the species cropping in Chile.

Indirubin induces tolerogenic dendritic cells via aryl hydrocarbon receptor activation and ameliorates allergic asthma in a murine model by expanding Foxp3-expressing regulatory T cells

BackgroundAllergic asthma is a chronic bronchial inflammatory disease closely associated with abnormal immune responses of dendritic cells (DCs) and allergen-specific type 2 T helper (Th2) cells. Indirubin (IR), a natural aryl hydrocarbon receptor (AhR) ligand, exerts anti-inflammatory and immunomodulatory properties. PurposeIn this study, we aimed to clarify whether IR exhibits immunomodulatory action on DCs via AhR activation and investigated the antiallergic effects of IR in a mouse model of allergic asthma. MethodsLipopolysaccharide (LPS)-activated bone marrow-derived DCs were treated with IR. Their mRNA expressions, cytokine production, and phenotype patterns were determined by a quantitative real-time PCR, ELISA, flow cytometry, and RNA sequencing. The mixed lymphocyte reaction was utilized to evaluate the regulatory function of IR-treated DCs on T-cell differentiation. Moreover, mice with ovalbumin (OVA)-induced allergic asthma were treated with IR. Thereafter, the airway hyperresponsiveness (AHR), allergen-specific IgE production, cytokine levels, airway inflammation, and T-cell responses were evaluated. ResultsTreatment of LPS-stimulated DCs with 20 μM IR significantly reduced IL-12 and TNF-α production while increasing IL-10 secretion. Meanwhile, these DCs expressed decreased levels of CD80 but increased levels of Jagged 1 surface molecules. However, the effects of IR on DCs were reversed by pretreatment with the AhR antagonist, CH223191. Additionally, the coculture of these tolerogenic-like DCs with allogeneic CD4+T cells promoted the generation of Foxp3+ regulatory T (Treg) cells. A transcriptomic analysis identified several downregulated genes that are involved in regulating cell migration, cytokine secretion, and inflammatory responses in DCs after IR treatment. In an asthmatic murine model, oral administration of 25 mg kg-1 body weight of IR efficiently alleviated the development of AHR, OVA-specific IgE production, and levels of Th2-type cytokines (IL-4, IL-5, and IL-13) and the CCL11 chemokine. IR treatment also attenuated inflammatory cell recruitment and mucus production in the lungs. Notably, an enhanced frequency of Foxp3+ Treg cells and reduced effector T-cell proliferation associated with increased levels of IL-10 and TGF-β were observed in IR-treated mice. ConclusionIR can induce tolerogenic-like BMDCs which promote the differentiation of Treg cells. Importantly, the expansion of Foxp3+ Treg cells contributed to the therapeutic efficacy of IR against allergic asthma.

The paradoxes of the protein transition maintain existing animal production and consumption systems.

The shift towards reduced consumption of animal-based products, referred to as the protein transition, is increasingly viewed as an opportunity to drive sustainable food systems transformations. Here we explore three central paradoxes of the protein transition. The first underscores the focus on substituting animal proteins with alternative sources, rather than reducing overall protein consumption. The second focuses on the search for new protein sources, rather than tackling overconsumption and overproduction. The third involves the continued export of animal proteins from Europe, a practice defended under the guise of food security, efficiency and comparative advantage. These narratives dominate public discourse, justifying existing production and consumption patterns, shaping perceptions and influencing decisions and policies that impact the future direction of our food systems. Given the influence of stakeholders' narratives in the transition, we advocate for a holistic and systemic perspective that transcends isolated and quick-fix solutions to foster coherent strategies to advance the protein transition.