Sustainable Use Research Articles

Glucose metrics improvement in youths with type 1 diabetes using the Ambulatory Glucose Profile report: A real-world study

AimsIn this study, we aimed to analyze the possible change in Time In Range (TIR) in subjects with type 1 diabetes (T1D) using the Ambulatory Glucose Profile (AGP) and to identify the main socio-demographic and clinical predictors of sustained use. Methods143 youths wearing instant-scanning CGM received structured counseling on the AGP report interpretation, and who were able to use AGP at least every 14 days were enrolled in group A (n = 100), whereas no users were considered as group B (n = 43). Socio-demographic data at the enrollment, clinical data, and glucose metrics were collected at baseline and during quarterly consultations. Metabolic outcomes were evaluated during follow-up, and a comparison between groups A and B was performed. ResultsIn group A compared to group B, at 12 months, the percentage of sensor usage and TIR were higher (p = 0.04 and p = 0.02), and Time Above Range and HbA1c were lower (p = 0.0004, p < 0.0001, respectively). Multiple logistic regression analysis did not show a significant relationship between sustained AGP software usage and the variables analyzed. ConclusionsSystematic use of the AGP software was feasible and showed improved metabolic control in youths with T1D. This may be related to increased sensor usage and more informed decisions.

Remanufactured Waste Tire By-product Valorization: Quantitative–Qualitative Sustainability-based Assessment

Automotive tires are a major waste stream and there are currently numerous options for reusing, recycling, and remanufacturing the waste tire rubber (WTR) and other components. Some competing technologies (retreading, product repurposing, energy recovery, pyrolysis oil, waste-tire crumbing, and devulcanized rubber) are discussed here to demonstrate the broad scope of possible applications and identify the advantages/disadvantages of the processes. Based on the industrial maturity of the processes, this study performed a qualitative–quantitative fuzzy analysis of twelve alternative by-products of WTR, including 1) devulcanized or desulfurized rubber; 2) tiles, mats, and rod barriers; 3) composite materials; 4) bitumen; 5) asphalt; 6) heat energy; 7) crude oil; 8) diesel; 9) char and carbon black; 10) gasification gas; 11) activated adsorption carbon; and 12) lightweight concrete. Quantitative sustainability considerations were applied to weight the technical, economic, environmental, and social sustainability factors according to their importance, while qualitative factors were applied to weight the sustainability criteria of productivity, reliability, efficiency, waste tire size range, remanufacturing time, remanufacturing cost, ergonomics, human development, and employment potential based on insights from the published literature. Comparative literature-based statistical analysis of potential tire resources and conventional waste-tire recycling was performed. The results identified remanufacturing of WTR into devulcanized rubber sheets as the best sustainable business option with the highest sustainability index of 0.628, while lightweight concrete was the worst by-product option with a low sustainability index of 0.012. Other very-high-potential options include producing value-added rubber products and composite materials from the devulcanized rubber. These findings provide valuable insights for stakeholders in the field of waste-tire management and small-to-medium businesses looking to add further value to their WTR products. Furthermore, these findings could guide international research to help focus on the most sustainable use of WTR.

Investigating the zeolite performance in soil and water conservation after prescribed fires in degraded rangelands

Since the last decades, soil erosion and wildfires are significant threats to most societies and results in the loss of fertile layers and, consequently, in productivity. Changes in soil moisture and stability of soil grains, both in the short- and long-terms after a wildfire occurs, should be also considered as a parameter because they play a key role in plant growth and nutrition too. Adding conditioners to soil also helps to reduce runoff and nutrient losses, which is necessary for the sustainable use of water and ecosystem services. Therefore, the current research was conducted to assess the impacts of zeolite (microporous, crystalline aluminosilicate material commonly applied as commercial adsorbent and catalysts) conservation treatment with diverse amounts (0, 250, 500 and 750 g m−2; Z0 Z1, Z2 and Z3, respectively) on changes of runoff and sediment yield in burned soils with different amounts (250, 500, 750 and 1000 g m−2; F1, F2, F3 and F4, respectively) under laboratory conditions. The experiments were conducted using rainfall simulations with an intensity of 50 mm h−1. The results showed that the highest changes percent of time to runoff (s), runoff volume (l), and soil loss (g) variables after zeolite application at different rates of fire was observed in F4Z3 treatment with 114.94, 76.61 and 82.60 %, respectively. We conclude that these results can be useful for a better understanding of the relationships between the fire effects on runoff and sediment considering innovative application of control measures nin-tested to date.

Correction: Pathways to sustainable antimicrobial use in cats

Correction: Pathways to sustainable antimicrobial use in cats

Land Classification Using Satellite Imagery

Abstract: Using information from remote sensing, the process of identifying different land cover types—such as plants, water bodies, and soil—is known as land cover classification. This is useful for anticipating future interactions between human activity and the environment as well as for discovering significant facts about the surface of the Earth. These expected interactions lead to the formation of sustainable land use practices and the preservation of natural resources. This study focuses on classifying land cover using both supervised and unsupervised methods. The supervised method for classification uses random forest classifiers, while the supervised approach for land cover detection uses CNN. The values of the evaluation parameters are calculated and compared for the input and output photographs

Recreational agroecosystem service value evidenced by mobile phone data: implications for incentive enhancement in terraced paddy land

Summary Farmland abandonment contributes to agroecosystem degradation and food crises. Sustainable farmland use requires a well-designed agri-environmental policy to provide farmers with incentives, including agroecosystem services apart from food production. One of these is recreation. Here, we focus on a Japanese terraced paddy land. We assessed seasonal changes in the value of recreational ecosystem services by integrating mobile phone big data of on-site visitors, collected between 2018 and 2020, into a valuation method. The application of mobile data enables the precise and consistent analysis of non-market agroecosystem services. The recreational value of the paddy land varied with season but overall was high. Sustainable farmland use provides social benefits, and we support the validity of agri-environmental policies that relate to economic incentives for agroecosystem conservation. However, the results show that the incentives provided by the public/government may be insufficient in comparison to this recreational value. Our findings provide information regarding the appropriate amount of economic support required to achieve sustainable agricultural land use in this setting.

Co-design capacity development for the UN Ocean Decade

Effective ocean governance plays a critical role in managing and coordinating human activities, policies, and institutions to ensure the sustainable use and conservation of marine resources. Recognizing the importance of effective ocean governance, there is a growing awareness that new research approaches are needed to bring together actors from academia and non-academic sectors. Together they need to develop transformative science solutions for a more inclusive and equitable ocean governance system. Despite widespread interest in this collaborative endeavor, limited resources are available to provide structured support and training. This creates a pressing need to develop capacity and promote a shared understanding of collaborative research methodologies, such as co-design. In response to the need for capacity development in such methodologies, the “Co-design for the Ocean Decade” online training course was launched in collaboration with IOC-UNESCO in 2022, starting with a first pilot course in the African region. This first co-design training course under the Ocean Decade framework serves as a practical and research-backed model for future co-design training programs in other regions. The evaluation results of the course reveal its effectiveness in enhancing participants' knowledge and skills in key co-design areas, particularly in communication with stakeholders. The evaluation also highlights areas for improvement, such as the need for (i) monitoring and evaluation, and (ii) follow-up opportunities for practice and funding support. Based on the evaluation, for future research and training programs, we recommend: (1) to incorporate local and regional context into the training, (2) to integrate co-design training into ocean science education, and (3) to embed co-design of research and training into the capacity development program of the Ocean Decade.

New criteria for sustainable land use planning of metropolitan green infrastructures in the tropical Andes

ContextUrbanization is rapidly increasing worldwide, with about 60% of the global population currently residing in cities and expected to reach 68% by 2050. In Latin America's tropical Andes region, managing these changes poses challenges, including biodiversity loss and vulnerability to climate change.ObjectivesThis study assesses urban growth and agricultural intensification impacts on the ecological functionality of metropolitan green infrastructures and their capacity to provide ecosystem services using a landscape sustainability and sociometabolic approach. Specifically, it aims to identify landscape configurations promoting socio-ecological sustainability amidst rapid urbanization.MethodsA landscape-metabolic model (IDC) was applied to evaluate the interactions between land use changes and ecosystem functions in the metropolitan region of Cali.ResultsAgricultural intensification and industrialization, coupled with uncontrolled urban growth, have significantly transformed the landscape, posing threats to its sustainability. The prevailing biocultural landscapes hold a substantial potential to provide essential ecosystem services to the metropolis. The IDC offers an approach that utilizes a land cover map and agricultural production/metabolism data to calculate an indicator closely related to ecosystem services and multifunctionality.ConclusionsThe IDC model stands out for efficiently capturing landscape dynamics, providing insights into landscape configuration and social metabolism without extensive resource requirements. This research highlights the importance of adopting a landscape-metabolic and green infrastructure framework to guide territorial policies in the tropical Andes and similar regions. It stresses the need for informed land use planning to address challenges and leverage opportunities presented by biocultural landscapes for regional sustainability amidst rapid urbanization and agricultural expansion.

Global Overview of the Application of the Braun-Blanquet Approach in Research

Environmental classifications are of paramount importance for assessing the impacts of land-use changes, for prioritizing conservation efforts, and for developing effective management strategies to mitigate the negative impacts of human activities. The aim of our research was to provide as complete an analysis as possible of the studies that have been carried out using the Braun-Blanquet approach. The global review of studies based on the Braun-Blanquet approach includes 1168 papers and was conducted using the PRISMA 2009 methodological recommendations, strict criteria for the selection/quality of papers, and modern methods of data analysis and visualization using VOSviewer software developed by Nees Jan van Eck and Ludo Waltman (Centre for Science and Technology Studies (CWTS) of Leiden University in the Netherlands) (version 1.6.18), which ensures a representative sample, minimization of subjective judgements, and reliability of conclusions. It was noted that the number of publications on Braun-Blanquet is growing exponentially. This is an indication of the scientific interest in this methodology and its continuous further development. Based on a detailed analysis of the keywords, the main research directions and challenges are identified. These include improving the conceptual and methodological foundations of the Braun-Blanquet approach; improvement in regional vegetation classifications, synthesizing them and producing a comprehensive classification for large areas as a basis for biodiversity conservation and sustainable land use; expansion of the geography; compilation and updating of databases of phytosociological data; management of dynamics and vegetation; discussion of the important problem of continuity and discreteness of vegetation in the context of ecological classifications; and vegetation mapping. The top 20 journals publishing the most cited articles were identified, as well as the top 20 most cited journals whose high citation rate is due to the large number of high-quality articles. The analysis of the bibliographic network of papers in dynamics has shown that the structure of relationships is not constant and has changed significantly. The analysis of the authors’ publication activity showed that the vast majority of researchers have a low publication activity and have published only one to three papers. A peculiarity also emerges: if all the most cited authors are concentrated in Eurasia, then most of the most actively published authors are outside Eurasia. The importance of the Braun-Blanquet approach for the study and classification of forest vegetation should be emphasized. In this case, the Braun-Blanquet approach is integrated into forest typologies, increasing their ecological validity and environmental relevance.

A principal component analysis of sustainable building construction features for project delivery in South Africa

Purpose Successful project delivery for sustainable building construction (SBC) has been linked to certain features. Previous studies have emphasised the need to improve SBC practice in South Africa. The purpose of this study is to explore the SBC features for project delivery in South Africa. Design/methodology/approach A structured questionnaire elicited the primary data from 281 built environment professionals, mainly in South Africa’s Gauteng province. Descriptive and inferential statistics were used for the data analysis. This study used the principal component analysis technique to ascertain the principal SBC features. Findings Three components of SBC features, namely, sustainable resource use and compliance, sustainable waste minimisation and recycling and sustainable designs and materials, were developed from the principal component analysis. The factor loadings of the constituent variables ranged from 0.570 to 0.836. The reliability of each component was evaluated, and the results were 0.966, 0.931 and 0.913. Practical implications The revelations from this study will aid the decision-making of the relevant stakeholders towards establishing improvement initiatives and mitigating the reluctance to shift from conventional building methods and poor knowledge sharing of SBC benefits. Originality/value This is one of the most recent South African studies that sheds light on the components of a successful SBC deployment. The findings of this study added to knowledge by confirming three fundamental features of SBC. This study recommends adequately considering the principal features for successful SBC project delivery in South Africa.

International Biological Flora: Festuca dolichophylla†

Abstract This account provides information on all aspects of the biology of Festuca dolichophylla J. Presl (Chilliwa, Chilligua) that are relevant to understanding its ecological characteristics and behaviour. The main topics are presented within the standard framework of the International Biological Flora including distribution, habitat, communities, responses to biotic and environmental factors, structure and physiology, phenology, floral and seed characters, herbivores and disease, history, conservation and global heterogeneity. Festuca dolichophylla is a tall perennial tussock grass that thrives at high elevations. It is native and widely distributed along the Andes of South America. It also occurs in North and Central America, especially in Mexico and Costa Rica. Festuca dolichophylla plays a significant role in Andean ecosystems and communities of Ecuador, Perú, Bolivia and northern Argentina. It serves various purposes, primarily as food source for South American camelids such as llama and alpaca. Festuca dolichophylla is dominant in Altiplano (Andean high plains) grasslands and is also present in Bofedales (Andean peatlands), shrublands and possibly in Ecuador and Colombia paramos. Festuca dolichophylla reproduces through seeds and vegetative tillers. Flowering tillers bear panicles with multiple spikelets and florets. An ungrazed plant can produce as much as 15.6 g of seeds during May and June, and seeds can germinate in 7 days or more. Festuca dolichophylla exhibits physiological and ecological traits that enable it to thrive in harsh environmental conditions, including extreme temperatures, drought and nutrient‐poor soils. It thrives in a range of soil types from strongly acid to slightly alkaline, encompassing textures that include loamy, sandy clay loam, clay loam and clay, and which are influenced by the cold and semiarid Andean climate. Fertilizers with different NPK formulations enhance fresh aerial biomass, plant height and volume. Additionally, F. dolichophylla forms mycorrhizal associations, stores large amounts of fixed carbon in its stems, and bioaccumulates mercury, lead and arsenic. Despite its importance, Festuca dolichophylla remains poorly studied. Further research is needed to explore its ecology, breeding systems, diseases or ecotypes. Moreover, population and demographic studies are crucial to assess the impact of climate change on this species. Adaptive, strategic and organized management and conservation efforts are essential, particularly in Indigenous Andean settlements, where F. dolichophylla offers multiple applications and benefits. Furthermore, utilizing this species in grassland revegetation and restoration initiatives highlights the need for ongoing research and management endeavours to ensure its conservation and sustainable use.

Effect of agriculture on surface water quantity and quality in Gilgel Gibe watershed, southwestern Ethiopia.

Monitoring water quality and quantity is crucial to be sure that water resources are sustainably used. However, there is no monitoring system of water quantity and quality in southwestern Ethiopia, despite expansion of agricultural activities demanding water resources. The objective of this study was to investigate the effect of agriculture on water quantity and quality with special emphasis on irrigation in southwestern Ethiopia. Data of water quantity was collected from four rivers and four irrigation canals during dry season of 2023. Physico-chemical water quality data was collected from 35 sites. Water quantity was calculated by estimating the water discharge of the rivers and irrigation canals. Weighted arithmetic water quality index was calculated to assess the status of the studied rivers. Principal component analysis was used to identify the relation of the sites with water quality parameters. This study revealed that the average amount of abstracted water for irrigation from the four studied rivers was 22,399 m3/day during the studied period, and the average percentage of abstracted water was 17%. Sites downstream of the irrigation site were characterized by poor water quality compared with the upstream sites. Sites surrounded by agricultural land use were correlated with chemical oxygen demand, electric conductivity, nitrate, orthophosphate, water temperature, and pH, whereas all sites surrounded by forest were positively correlated with dissolved oxygen. This study indicates that agricultural activities have a negative impact on surface water quality and quantity if not managed properly. Hence, we recommend sustainable use of water resources for the planned irrigation expansion.

A Narrative Review of In‐Textile Sensors in Human Health Applications

AbstractSensors have become more versatile and sophisticated in recent years to fulfill the increasing demands for human health applications. Physiological information such as electrocardiogram, pulse rate, and respiration are essential indications of personal health, often collected as vitals, which are typically collected from medical‐grade electrocardiogram (ECG) machines. In‐textile sensors are a fast‐growing sub‐category of wearable sensors embedded in smart textiles to acquire physiological information and movement index and provide harmful chemical warnings without compromising the comfortable nature of clothing. Recent literature has shown that integrating new materials has greatly improved the stability, specificity, and selectivity of in‐textile sensors. For example, polyvinylidene fluoride nanofiber produced a highly stretchable sensor to measure ECG readings during movement without losing data quality. This review discusses a group of nanomaterial‐based in‐textile sensors for consumer use in the home, workplace, and healthcare environments. This review will focus on exploring and analyzing the latest developments in these nanomaterial‐based e‐textiles due to their ability to be more easily integrated for daily use and their great potential for medical applications. Future work will be necessary to incorporate recycled materials, improve the method of powering these sensors, and ultimately refine the designs to be appropriate for more sustainable use.

P.060 Provider and patient perspectives on outcome measure use in clinical care for chronic inflammatory neuropathy

Background: The use of patient reported and functional outcome measures in routine practice enhances shared decision making and supports patient-centred care. This study compared the perspectives of Chronic Inflammatory Neuropathy (CIN) patients and providers regarding their experience using an outcome measure panel. Methods: A one year study was conducted to evaluate a nine measure outcome set in routine clinical practice for CIN. The panel included patient-reported outcome measures (e.g., I-RODS and EQ-5D-5L) and functional measures (e.g., grip strength). At the conclusion of the study, participants and providers completed an online questionnaire on their experience. Results: 25 patients and five providers completed the questionnaire. Both patients and providers reported benefit in tracking disease progression, supporting treatment-related decisions, and broadening views of health. Both groups agreed patient involvement in care was enhanced. Preference for specific measures, frequency, and data presentation differed. Providers emphasized integration into electronic medical records and streamlining processes. 100% of providers and 80% of patients wanted to continue completing outcome measures. Conclusions: CIN patients and providers recognize the value of integrating outcome measures into routine care. To effectively implement these measures in clinical settings, it is important to understand the patient and provider perspective and prevent unnecessary burdens to ensure sustainability of use.

Genotyping-by-sequencing and weighted gene co-expression network analysis of genes responsive against Potato virus Y in commercial potato cultivars.

Potato is considered a key component of the global food system and plays a vital role in strengthening world food security. A major constraint to potato production worldwide is the Potato Virus Y (PVY), belonging to the genus Potyvirus in the family of Potyviridae. Selective breeding of potato with resistance to PVY pathogens remains the best method to limit the impact of viral infections. Understanding the genetic diversity and population structure of potato germplasm is important for breeders to improve new cultivars for the sustainable use of genetic materials in potato breeding to PVY pathogens. While, genetic diversity improvement in modern potato breeding is facing increasingly narrow genetic basis and the decline of the genetic diversity. In this research, we performed genotyping-by-sequencing (GBS)-based diversity analysis on 10 commercial potato cultivars and weighted gene co-expression network analysis (WGCNA) to identify candidate genes related to PVY-resistance. WGCNA is a system biology technique that uses the WGCNA R software package to describe the correlation patterns between genes in multiple samples. In terms of consumption, these cultivars are a high rate among Iranian people. Using population structure analysis, the 10 cultivars were clustered into three groups based on the 118343 single nucleotide polymorphisms (SNPs) generated by GBS. Read depth ranged between 5 and 18. The average data size and Q30 of the reads were 145.98 Mb and 93.63%, respectively. Based on the WGCNA and gene expression analysis, the StDUF538, StGTF3C5, and StTMEM161A genes were associated with PVY resistance in the potato genome. Further, these three hub genes were significantly involved in defense mechanism where the StTMEM161A was involved in the regulation of alkalization apoplast, the StDUF538 was activated in the chloroplast degradation program, and the StGTF3C5 regulated the proteins increase related to defense in the PVY infected cells. In addition, in the genetic improvement programs, these hub genes can be used as genetic markers for screening commercial cultivars for PVY resistance. Our survey demonstrated that the combination of GBS-based genetic diversity germplasm analysis and WGCNA can assist breeders to select cultivars resistant to PVY as well as help design proper crossing schemes in potato breeding.

Quality of Service in Sustainable Development: A QoS-based Analysis of the United Nations Sustainable Development Goals

This paper explores the innovative application of Quality of Service (QoS) principles, traditionally rooted in network and telecommunications, across various sectors to enhance the achievement of the United Nations Sustainable Development Goals (SDGs). By establishing a parallel between QoS in technological systems and sectors such as healthcare, education, energy, and urban development, we examine how these principles can be adapted to improve service delivery and efficiency in critical areas of sustainable development. The core premise is that methodologies used to optimize data flow and service reliability in networks can similarly enhance the quality, accessibility, and sustainability of essential services. This study conducts a comprehensive comparative analysis to illustrate the potential of QoS frameworks in promoting efficiency, effectiveness, and equity across multiple domains of the SDGs. Key areas of focus include enhancing healthcare outcomes, increasing educational accessibility, ensuring sustainable energy use, and improving urban infrastructure. The findings advocate for a cross-disciplinary approach to applying QoS principles, suggesting that such integration can lead to substantial improvements in service delivery and contribute significantly to global sustainable development efforts.

Heterostructure catalyst coupled wood-derived carbon and cobalt-iron alloy/oxide for reversible oxygen conversion

As promising energy-storage devices, zinc–air batteries (ZABs) exhibit slow reaction kinetics for oxygen reduction reaction (ORR) and oxygen evolution reaction (OER) occurring at their electrodes. High-performance bifunctional catalysts must thus be synthesized to accelerate the reversible conversion of oxygen and improve the rate and overall performance of ZABs. Herein, we reported the promising prospects of self-supported composite electrodes composed of wood-derived carbon (WDC) and bimetallic cobalt-iron alloys/oxides (CoFe-CoFe2O4@WDC) as efficient electrocatalysts for alkaline ORR/OER. WDC provided a favorable three-phase interface for heterogeneous reactions owing to its layered porous structure and genetic stability, thereby enabling mass diffusion and improving reaction kinetics. The CoFe2O4 spinel surface was reduced to bimetallic CoFe alloy to form abundant heterostructure interfaces that promote electron transfer. Under alkaline conditions, the optimized composite electrode exhibited a remarkable high half-wave potential of 0.85 V and an exceptionally low overpotential of 1.49 V. It also exhibited stable performance over an impressive 2340 cycles in a ZAB. Theoretical calculations also confirmed that the heterointerface addresses the issue of proton scarcity throughout the reaction and actively facilitates the creation of O–O bonds during the reversible transformation of oxygen. This study introduces a new concept for developing bifunctional and efficient electrocatalysts based on charcoal and encourages the sustainable and high-value use of forest biomass resources.Graphical

Whether Access to Agricultural AID Improves the Welfare of Farmer Households in Palopo, Indonesia with Budget as a Moderate Variable

Purpose: The agricultural industry significantly contributes to poverty alleviation, particularly in rural regions as opposed to metropolitan ones. Hence, government programs should be able to target the areas afflicted by poverty effectively. Rural regions serve as the hub of commercial operations and play a crucial role in safeguarding and empowering farmers, particularly those who are small-scale. Methodology/approach: This research aims to analyze the access to assistance and agricultural estimates by examining farmers' prescriptions. Data analysis techniques in this study are explanatory, descriptive statistical techniques with quantitative approaches and inferential statistical analysis using the Structural Equation Modeling (SEM). Results: The objective is to determine if there is an impact on the growth in farm family welfare in the City of Palopo based on data from 105 farmers. This study utilises a descriptive and explanatory methodology, including quantitative techniques and inferential statistical analysis via Structural Equation Modelling (SEM) utilising Partial Least Squares (PLS). Hypothesis 1: Influence Aid (X) positively and significantly impacts to (Y) Household Welfare is accepted. The outcomes of SEM analysis obtained T statistical = 4.339 &gt; T table = 1.983 and P value = 0.000 &lt; Cut off Value = 0.05. Hypothesis 2: Influence the Aid (X) positively and significantly to (Z) Budget is accepted. The outcomes of the SEM analysis obtained T statistical = 89,957 &gt; T table = 1.983 and P value = 0.000 &lt; Cut off Value = 0.05. Hypothesis 3: Influence the Budget (Z) positively and significantly to (Y) Household Welfare is accepted. The outcomes of SEM analysis obtained T statistical = 2,872 &gt; T table = 1.983 and P value = 0.004 &lt; Cut off Value = 0.05. Hypothesis 4: Influence the Aid (X) positively and significantly to (Y) Household Welfare through Budget (Z) as a moderate variable is accepted. The outcomes of SEM analysis obtained T statistical = 2,830 &gt; T table = 1.983 and P value = 0.005 &lt; Cut off Value = 0.05. Originality/scientific novelty: It was found that the access of farmer group households to agricultural assistance and the sustainable use of budgets and their very effective distribution in general can be said to greatly improve the welfare of farmer group households. This research is topically broader in scope making it very specific based on the scope of sources in Palopo, Indonesia. As far as is known, these results have not been previously reported. Practical value/implications: Management in the distribution of aid and access to agricultural budgets which are very vulnerable to misappropriation by the state apparatus has been identified as not improving the welfare of farmer households. One very effective way is to increase inherent surveillance.

Integration of AI and IoT into Corporate Social Responsibility Strategies for Financial Risk Management and Sustainable Development

This research explores the integration of artificial intelligence (AI) and the Internet of Things (IoT) within corporate social responsibility (CSR) strategies, focusing on financial risk management and sustainable development. Employing a novel Coevolutionary multi-paradigm approach to technological development, this study examines how these technologies can be embedded into CSR practices to enhance sustainability and manage risks effectively. The findings reveal that successful integration depends significantly on the adaptability of institutional structures to support technological innovations. This study contributes to the literature by providing a comprehensive analysis of the intersection of AI, IoT, and CSR, highlighting the necessity for robust mechanisms and policies that ensure security, standardization, and sustainable use of emerging technologies. Through this investigation, this research offers a new perspective on leveraging advanced technologies to advance corporate sustainability and risk management objectives.

The Role of Wild Plants in Cultural Restoration: Community Collaboration and Engaged Ethnobotany in the Nineveh Plains, Northern Iraq

AbstractThe Nineveh Plain region of Northern Iraq is a site of ecological and cultural diversity. Between 2014 and 2017, the Islamic State of Iraq and Syria (ISIS), also known as Daesh, severely disrupted the region, resulting in community displacement, particularly for members of ethnic minority groups. This article highlights an ongoing multinational, multidisciplinary collaboration between botanists, ecologists, mental and public health specialists, sociologists, and anthropologists to foster cultural and ecological restoration among the Christian, Yezidi, Shabak, Turkman, and Kaka’i minority groups of the Plains. Members of these groups identified wild plant collection as an important cultural and economic practice and expressed a shared concern over the decreased access to wild plant resources. Researchers are partnering with local communities using engaged, decolonial methodologies to bring communities together around this shared interest in wild plants. Project activities include producing videos highlighting local plant knowledge, hosting workshops on using wild plants for art and textile design, offering trainings on herbal medicine, collecting recipes for a wild plant cookbook, and increasing awareness of the sustainable use of wild plants. Through collaborative knowledge production, this partnership aims to bring diverse stakeholders together around an interest in wild plants to promote cultural understanding and exchange.