Top-down Approach Research Articles

Community Sustainability Through Sustainable Community-Based Tourism

Objective: The objective of this study is to investigate how rural communities facing the problems of ageing population and lack of economic opportunities can be revived by adopting the approach of sustainable community-based tourism. Theoretical Framework: The study was guided by theories related to community development, placemaking, and community-based tourism. Method: The research used the case analysis method to analyze a community revitalization project in rural Taipei, Taiwan. Data were collected through field observation and interviews. The researcher was invited to participate in the related meetings and observe the practices of the community revitalization project. The researcher also interviewed the leader and volunteers of the community development project. Results and Discussion: It is found that a placemaking process mixed with top-down (facilitated) and bottom-up engagement approaches can effectively generate a sense of place among various groups of constituents. The research also found that it is critical to identify and leverage the cultural and ecological assets of the community in an innovative and integrated way so as to effectively connect the community and the society. To revive a community, volunteers played a mediating role in fulfilling the needs of the community and connecting the community with the society. Research Implications: The findings of the research can be applied to rural communities with similar problems and ecological/cultural assets. For policy makers, the study suggests that community revitalization requires an engagement process balanced with top-down (facilitated) and bottom-up approaches. Originality/Value: This study contributes to the micro-view of sustainability literature by analyzing sustainability at a community level through the aspects of community placemaking and sustainable community-based tourism.

Design of a bi-directional methodology for automated assessment of compliance to continuous application of clinical guidelines, and its evaluation in the type 2 diabetes domain.

We introduce a new approach for automated guideline-based-care quality assessment, the bidirectional knowledge-based assessment of compliance (BiKBAC) method, and the DiscovErr system, which implements it. Our methodology compares the guideline's Asbru-based formal representation, including its intentions, with the longitudinal medical record, using a top-down and bottom-up approach. Partial matches are resolved using fuzzy temporal logic. The system was evaluated in the type 2 Diabetes management domain, comparing it to three expert clinicians, including two diabetes experts. The system and the experts commented on the management of 10 patients, randomly selected from 2,000 diabetes patients. On average, each record spanned 5.23 years; the data included 1,584 medical transactions. The system provided 279 comments. The experts made 181 different unique comments. The completeness (recall) of the system was 91% when the gold standard was comments made by at least two of the three experts, and 98%, compared to comments made by all three experts. The experts also assessed all of the 114 medication-therapy-related comments, and a random 35% of the 165 tests-and-monitoring-related comments. The system's correctness (precision) was 81%, compared to comments judged as correct by both diabetes experts, and 91%, compared to comments judged as correct by one diabetes expert and at least as partially correct by the other. 89% of the comments were judged as important by both diabetes experts, 8% were judged as important by one expert, and 3% were judged as less important by both experts. Adding the validated system comments to the experts' comments, the completeness scores of the experts were 75%, 60%, and 55%; the expert correctness scores were respectively 99%, 91%, and 88%. Thus, the system could be ranked first in completeness and second in correctness. We conclude that systems such as DiscovErr can effectively assess the quality of continuous guideline-based care.

A satellite constellation dedicated to frequently monitor methane emissions from oil and gas facilities around the world

This paper discusses GHGSat’s pioneering operating satellites dedicated to high-resolution measurements of methane emissions. We demonstrate their role as an integral part of an emissions intensity improvement strategy. The instrument on board each satellite uses spectroscopy principles to detect and quantify methane emissions, exhibiting a spatial resolution of less than 30 m. A discussion on how this constellation can be used as a key system in the mitigation of emissions is presented. Results reflect observations taken with GHGSat’s satellites. Recent examples of oil and gas emitting facilities around the world are shown followed by how this constellation can serve three objectives: (1) emissions mitigation; (2) regulatory compliance; and (3) a system to achieve voluntary efforts such as OGMP 2.0. The intention is to show that there isn’t a one-size-fits-all solution, but that the use of a satellite constellation is a complimentary and efficient way of monitoring for large leaks with increased frequency. This paper also reviews GHGSat’s top-down approach through its aircraft sensor technology as another solution for monitoring smaller leaks. Mitigation success stories are discussed providing opportunities for achievement of regulatory certifications in regions like the United States, Australia and Iraq. The resulting datasets are integrated into GHGSat’s ESRI ArcGIS-based portal, SPECTRA, to facilitate the interpretation of its high-resolution measurements, giving further insights through the available analytics layers. This platform provides situational awareness of methane emissions to operators, creating opportunities for mitigation.

Effectiveness of exercise-based sports injury prevention programmes in reducing injury rates in adolescents and their implementation in the community: a mixed-methods systematic review

ObjectiveDespite evidence supporting the efficacy of sport injury prevention programmes (SIPPs) in adolescents, implementation of SIPPs in community settings is low. This review aims to synthesise and integrate evidence on...

World Bank-Assisted Community-Based Development Project for High-Value Crop Production: Failures and Successes

The government of Punjab has recently implemented a World-Bank-assisted community-based development project for the enhancement of farm productivity in water deficit areas of the Punjab province for 11 years. This paper describes a case study from the Faisalabad division, wherein drip irrigation in conjunction with tunnel technology has improved crop and water productivity of fruits, vegetables and cash crops, optimizing farm incomes. Not only crop yields were optimized, but also there were savings on water (30-45%) and other inputs, reduced incidence of pests and diseases (15-20%), early spring production by 35 days and higher quality of produce, which substantially increased farm incomes (19-41%) along with some environmental benefits. A conservative estimate showed a reduction in unemployment by 5% in project areas. Despite these impressive achievements, a post-project survey showed that 93% of beneficiary farmers abandoned drip irrigation systems, soon after project closure. It emphasized that in the Thal area, only a 4% system rolled back, suggesting the better suitability of the high-efficiency irrigation system for water conservation and productivity enhancement in sandy areas. Post-project farmer-participatory rural appraisal (PRA) shows that drip irrigation was rolled back due to multiple constraints. For example, unsuitable/inefficient design, clogging of drippers/drip lines, non-availability of spare parts, poor response of troubleshooters and top-down approach of the project, prompting better planning and implementation, in the future, for similar projects.

Enactments of evidence-based programs in social work – the gap between ideal and practice in the context of Norway

ABSTRACT Research shows that social workers have positive attitudes towards evidence-based practice (EBP), but that there exists confusion about what EBP entails in social work. Social workers do not distinguish between EBP and the use of other sources of knowledge and tend to find knowledge and experiences from practice, colleagues, and supervisors just as if not more important. Therefore, for some proponents of EBP, implementing EBP in a way that ensures fidelity according to standardized evidence-based programs becomes important. This article, presenting findings from a PhD project , shows what happens in practice when this is the case. Based on a qualitative study of the implementation and enactment of evidence-based programs in social work in Norway, the findings show that despite organizational and key actors’ attempts to minimize the gap between knowledge and practice and to homogenize practice to prevent drift, heterogenous enactments take place in practice. These enactments are driven forward by social workers’ knowledge about and practical attentiveness to the situation, needs and broader conditions and troubles of the ‘users’, in this case children and families. Thus, competent social workers make EBP work, but this is camouflaged in a top-down approach to implementing evidence-based programs to which these modifications appear to be an obstacle to a ‘pure’ implementation. Therefore, the article discusses the epistemological implications of the findings and offers suggestions for further theoretical and empirical research that cultivates a more adequate understanding of the relationship between knowledge and practice in social work.

Colonial-Imposed Slavery and African Abolitionism: The Early Twentieth- Century Lagos Elites’ Campaign Against the Native House Rule Ordinance

ABSTRACT This article examines the efforts of early-twentieth-century abolitionists in Lagos, Nigeria who campaigned against the Native House Rule Ordinance/Proclamation, a colonial law perceived as perpetuating indigenous slavery in the Niger Delta region. The study enriches the corpus of African abolitionist literature by revealing how a network of Lagos elites employed a strategic top-down approach to advocate for the law's repeal, which they believed sustained a form of slavery instituted by British colonialism. The research utilizes an extensive range of primary sources, including local Nigerian newspaper publications, correspondence, petitions, and archival documents from both Nigerian and British repositories. The paper contextualizes the Native House Rule system, explores the Lagos campaigners’ strategies and arguments against the ordinance, and discusses the law's amendment and eventual repeal. Through detailed case studies and the examination of African-led initiatives, the study acknowledges the previously understated contributions of African activists, thereby rectifying a significant oversight in historical literature. This paper underscores the importance of recognizing indigenous agency in historical narratives, particularly in the context of abolition and resistance to colonial policies.

Inverting social innovation to transform health system responses to climate change adaptation and mitigation in the global south

Systems thinking is aimed at understanding and solving complex problems that cut across sectors, an approach that requires accurate, timely, and multisectoral data. Citizen-driven big data can advance systems thinking, considering the widespread use of digital devices. Using digital platforms, data from these devices can transform health systems to predict and prevent global health crises and respond rapidly to emerging crises by providing citizens with real-time support. For example, citizens can obtain real-time support to help with public health risks via a digital app, which can predict evolving risks. These big data can be aggregated and visualized on digital dashboards, which can provide decision-makers with advanced data analytics to facilitate jurisdiction-level rapid responses to evolving climate change impacts (e.g., direct public health crisis communication). In the context of climate change, digital platforms can strengthen rapid responses by integrating information across systems (e.g., food, health, and social services) via citizen big data. More importantly, these big data can be used for rapid decision-making,a paradigm-changing approach that can invert social innovation, which we define as co-conceptualizing societal solutions with vulnerable communities to improve economic development with a focus on community wellbeing. However, to foster equitable and inclusive digital partnerships that invert social innovation, it is critical to avoid top-down approaches that sometimes result when researchers in the Global North and South collaborate. Equitable Global South–North partnerships can be built by combining digital citizen science and community-based participatory research to ethically leverage citizen-driven big data for rapid responses across international jurisdictions.

The trends in contemporary authoritarian leadership studies: A bibliometric data analysis

The study of authoritarian leadership has undergone significant development, with researchers exploring its different dimensions and consequences. This leadership style, characterized by a top-down approach and centralized decision-making authority, has been extensively examined in psychology, organizational behavior, and management literature. Scholars have delved into the effects of authoritarian leadership on various aspects of organizations such as employee satisfaction, motivation levels, productivity rates, turnover rates, and team dynamics. The research landscape surrounding authoritarian leadership has witnessed a recent surge in interest as scholars strive to understand its intricate connections with different variables. The primary objective of this study is to conduct a comprehensive bibliometric analysis on authoritarian leadership, aiming to identify the key research areas, influential authors, prominent journals in the field, and citation patterns. To our knowledge, no bibliometric analysis on authoritarian leadership can be found in the Scopus database, highlighting the novelty of our research. Through a source-based examination of scholarly articles and their citations pertaining to authoritarian leadership, this analysis offers valuable insights into the current state of research in this domain. By focusing on publications from the past decade onwards, we aim to uncover trends and potential gaps within existing literature while also providing guidance for future research endeavors. Our research findings will provide valuable insights into the phenomenon of authoritarian leadership, contributing to a deeper understanding of its implications. By delving into this topic, we hope to pave the way for future studies and investigations in this field that can build upon our findings and expand knowledge even further.

Novel Fabrication Techniques for Ultra-thin Silicon Based Flexible Electronics

Abstract Flexible electronics offer a multitude of advantages, such as flexibility, lightweight properties, portability, and high durability. These unique properties allow for seamless applications to curved and soft surfaces, leading to extensive utilization across a wide range of fields in consumer electronics. These applications, for example, span integrated circuits, solar cells, batteries, wearable devices, bio-implants, soft robotics, and biomimetic applications. Recently, flexible electronic devices have been developed using a variety of materials such as organic, carbon-based, and inorganic semiconducting materials. Silicon (Si) owing to its mature fabrication process, excellent electrical, optical, thermal properties, and cost-efficiency, remains a compelling material choice for flexible electronics. Consequently, the research on ultra-thin Si in the context of flexible electronics is studied rigorously nowadays. The thinning of Si is crucially important for flexible electronics as it reduces its bending stiffness and the resultant bending strain, thereby enhancing flexibility while preserving its exceptional properties. This review provides a comprehensive overview of the recent efforts in the fabrication techniques for forming ultra-thin Si using top-down and bottom-up approaches and explores their utilization in flexible electronics and their applications.

There’s power in the community: a sociomaterial analysis of university learning spaces

AbstractInternationally, the significance of the relationship between the university environment and the student experience is well-documented. In response, UK university leaders have driven forward policies that focus on estates’ expansion and regeneration. The restrictions necessitated by the COVID-19 pandemic presented an opportunity to explore questions around the importance of the materiality of campus and its impact on the student experience. This case study examines students’ experiences over time within a post-1992 UK university during the 2020/2021 academic year and makes a tri-fold contribution. First, it explores how restrictions placed on learning spaces can foreground the relationship(s) between space and learning practice. Second, through adopting a sociomateriality perspective, the paper examines students’ reactions to the top-down approach taken to Higher Education (HE) policymaking, and the potential for exposing manifestations of power within the student experience. Third, the paper illustrates how photovoice methodology can encourage reflections on the impact of materiality on the student experience. The findings reveal two principal themes: power dynamics and community participation. The authors make recommendations for university leaders to adopt a community-first, co-creation approach towards future policymaking that enables meaningful dialogue with students and educators and drives forward sustainable, inclusive change.

Top-Down Design Method of a Time Domain Accelerometer with Adjustable Resolution

A top-down design methodology and implementation of a time domain sensor is presented in this paper. The acceleration resolution of the time domain sensor is equal to the time-measurement accuracy divided by the sensor sensitivity. Combined with the sensitivity formula, the acceleration resolution is proportional to the vibration amplitude, the time-measurement accuracy, and the third power of the resonant frequency. According to the available time-measurement accuracy and the desired acceleration resolution, the parameters including the vibration amplitude and the resonant frequency were theoretically calculated. The geometrical configuration of the time domain sensor device was designed based on the calculated parameters. Then, the designed device was fabricated based on a standard silicon-on-insulator process and a matched interface circuit was developed for the fabricated device. Experimental results demonstrated that the design methodology is effective and feasible. Moreover, the implemented sensor works well. In addition, the acceleration resolution can be tuned by adjusting the time-measurement accuracy and the vibration amplitude. All the reported results of this work can be expanded to other time domain inertial sensors, e.g., a gyroscope or tilt sensor.

Entrepreneurial universities and integrated sustainability for the knowledge-based economy: self-perception and some structural challenges in the Gulf region

Innovation and the promotion of entrepreneurship are requirements of the transition towards knowledge-based economies. Universities are assigned a key role in advancing entrepreneurship through the restructuring of teaching, research, and governance with an emphasis on innovation and sustainability. In the Gulf region, universities are increasingly adopting reforms aimed at redefining their missions towards entrepreneurial education. This study examines the impact of university-based innovation and entrepreneurial models on progressing towards knowledge-based economies, with Qatar University serving as a case study. It qualitatively assesses recent university reforms and contextualizes these reforms within limitations in the national context and the political economy of the rentier states in the Gulf. The findings suggest that for Gulf region universities to effectively become entrepreneurial and support sustainable development, they must cultivate an entrepreneurial culture and mindset. This requires structural and cultural shifts that resonate with national context, institutional values, and the global sustainability goals. The study indicates that a top-down approach to developing entrepreneurial universities is less effective. It advocates for policies and incentives that motivate universities to become entrepreneurial. Ultimately, the study’s insights aim to guide policymaking to develop knowledge economy frameworks in Qatar towards a sustainable future.

A top-down character segmentation approach for Assamese and Telugu handwritten documents

A top-down character segmentation approach for Assamese and Telugu handwritten documents

Synthesis, characterization, and optical studies of lead-free perovskite, Cs3M2Br9 (M = Bi, Sb) nanocrystals

In recent years, there has been a surge in research interest surrounding all inorganic lead perovskite nanocrystals (NCs) owing to their exceptional performance in various optoelectronic devices. Nevertheless, the presence of lead and concerns regarding its toxicity and stability have cast a shadow over their potential wide-ranging applications. In this study, we present the synthesis of two lead-free all-inorganic perovskite materials, Cs3M2Br9 (where M = Bi or Sb), in bulk form, using an aqueous halide acid medium. Additionally, we describe a top-down approach for the fabrication of two lead-free all-inorganic perovskite, Cs3M2Br9 (M = Bi or Sb) NCs. The Cs3Sb2Br9 NCs display a sheet-like morphology, while Cs3Bi2Br9 NCs exhibit a cubic structure. The PL spectra of Cs3Sb2Br9 and Cs3Bi2Br9 NCs exhibit distinct emission peaks at 476 nm and 472 nm, respectively, with relatively narrow full width at half maximum (FWHM) of 44 nm and 38 nm, respectively. Cs3Sb2Br9 and Cs3Bi2Br9 NCs demonstrate excellent thermal stability up to 320 °C and 470 °C, respectively. Notably, the high photoluminescence quantum yield (PLQY) of these NCs, Cs3Sb2Br9 NCs (31 %) and Cs3Bi2Br9 NCs (36 %) are highly beneficial for optoelectronic applications is observed.

Revisiting the quantification of power plant CO2 emissions in the United States and China from satellite: A comparative study using three top-down approaches

Top-down constraints of CO2 emissions from coal-fired power plants are critical to improving the accuracy of CO2 emission inventory and designing carbon reduction strategies. Different top-down models based on satellite observation have been proposed in previous studies, but discrepancies between these models and the underlying drivers are rarely explored, limiting the confidence of their application for monitoring point-source CO2 emissions from satellite. Here, we apply three top-down models to estimate CO2 emissions from individual coal-fired power plants in the United States (US) and China in 2014–2021 from Orbiting Carbon Observatory 2 (OCO-2) satellite observations. The first one applies the Gaussian plume model to optimize emissions by fitting modeled CO2 enhancement to the observation. The second and third methods apply the same inversion framework using the maximum likelihood estimation, but with WRF-Chem and WRF-FLEXPART as forward models, respectively. We evaluate consistency between the three methods in estimating emissions of 10 power plants in the US, using daily reported values from the US Environmental Protection Agency (EPA) as a benchmark, and then apply the three methods to quantify emissions of 13 power plants in China. Results show that the WRF-Chem and WRF-FLEXPART based inversion results are consistent with the EPA reported emission rates, with correlation coefficients (r) of 0.76 and 0.85 and mean biases (MB) of 4.06 and 3.97 ktCO2/d relative to EPA reports at all 10 power plants, respectively. The Gaussian plume model driven by wind fields from WRF-Chem model without the wind rotation shows comparable ability in reproducing the EPA reported emission rates at 7 power plants (r = 0.82, MB = 6.17), but is not applicable for the other three cases. We find that application of the high-resolution three-dimensional wind fields can better capture the shape of observed plumes, especially under complex wind conditions, compared to the Gaussian plume model which relies on wind field at a single point, and thus the Gaussian plume model has difficulty to optimize emissions under inhomogeneous wind fields or when observations are far away from the power plant. In general, using the WRF-FLEXPART model as the forward model in the inverse analysis shows advanced capability to simulate narrow-shape plumes in the absence of numerical diffusion which is inherent in Eulerian model such as WRF-Chem. Emissions estimated by the three top-town methods show a moderate consistency at 13 coal-fired power plant cases in China, with 8 of 13 cases showing differences of <30% between at least two methods. However, large differences emerge when wind fields are inhomogeneous and number of available observations is limited. Using different meteorological wind fields and OCO-2 data versions can also bring substantial differences to the posterior emissions for all three approaches. We find that the posterior CO2 emissions, though only reflecting instantaneous emission rates at satellite overpass time, are not proportional to the reported capacities of these power plants, indicating that attributing CO2 emissions simply based on the capacity of power plants in some bottom-up approaches may have significant discrepancies. Our study exposes the capability and limitation of different top-down approaches in quantifying point-source CO2 emissions, advancing their application for better serving increasing constellations of point-source imagers in the future.

Streamlining Protein Fractional Synthesis Rates Using SP3 Beads and Stable Isotope Mass Spectrometry: A Case Study on the Plant Ribosome.

Ribosomes are an archetypal ribonucleoprotein assembly. Due to ribosomal evolution and function, r-proteins share specific physicochemical similarities, making the riboproteome particularly suited for tailored proteome profiling methods. Moreover, the structural proteome of ribonucleoprotein assemblies reflects context-dependent functional features. Thus, characterizing the state of riboproteomes provides insights to uncover the context-dependent functionality of r-protein rearrangements, as they relate to what has been termed the ribosomal code, a concept that parallels that of the histone code, in which chromatin rearrangements influence gene expression. Compared to high-resolution ribosomal structures, omics methods lag when it comes to offering customized solutions to close the knowledge gap between structure and function that currently exists in riboproteomes. Purifying the riboproteome and subsequent shot-gun proteomics typically involves protein denaturation and digestion with proteases. The results are relative abundances of r-proteins at the ribosome population level. We have previously shown that, to gain insight into the stoichiometry of individual proteins, it is necessary to measure by proteomics bound r-proteins and normalize their intensities by the sum of r-protein abundances per ribosomal complex, i.e., 40S or 60S subunits. These calculations ensure that individual r-protein stoichiometries represent the fraction of each family/paralog relative to the complex, effectively revealing which r-proteins become substoichiometric in specific physiological scenarios. Here, we present an optimized method to profile the riboproteome of any organism as well as the synthesis rates of r-proteins determined by stable isotope-assisted mass spectrometry. Our method purifies the r-proteins in a reversibly denatured state, which offers the possibility for combined top-down and bottom-up proteomics. Our method offers a milder native denaturation of the r-proteome via a chaotropic GuHCl solution as compared with previous studies that use irreversible denaturation under highly acidic conditions to dissociate rRNA and r-proteins. As such, our method is better suited to conserve post-translational modifications (PTMs). Subsequently, our method carefully considers the amino acid composition of r-proteins to select an appropriate protease for digestion. We avoid non-specific protease cleavage by increasing the pH of our standardized r-proteome dilutions that enter the digestion pipeline and by using a digestion buffer that ensures an optimal pH for a reliable protease digestion process. Finally, we provide the R package ProtSynthesis to study the fractional synthesis rates of r-proteins. The package uses physiological parameters as input to determine peptide or protein fractional synthesis rates. Once the physiological parameters are measured, our equations allow a fair comparison between treatments that alter the biological equilibrium state of the system under study. Our equations correct peptide enrichment using enrichments in soluble amino acids, growth rates, and total protein accumulation. As a means of validation, our pipeline fails to find "false" enrichments in non-labeled samples while also filtering out proteins with multiple unique peptides that have different enrichment values, which are rare in our datasets. These two aspects reflect the accuracy of our tool. Our method offers the possibility of elucidating individual r-protein family/paralog abundances, PTM status, fractional synthesis rates, and dynamic assembly into ribosomal complexes if top-down and bottom-up proteomic approaches are used concomitantly, taking one step further into mapping the native and dynamic status of the r-proteome onto high-resolution ribosome structures. In addition, our method can be used to study the proteomes of all macromolecular assemblies that can be purified, although purification is the limiting step, and the efficacy and accuracy of the proteases may be limited depending on the digestion requirements. Key features • Efficient purification of the ribosomal proteome: streamlined procedure for the specific purification of the ribosomal proteome or complex Ome. • Accurate calculation of fractional synthesis rates: robust method for calculating fractional protein synthesis rates in macromolecular complexes under different physiological steady states. • Holistic ribosome methodology focused on plants: comprehensive approach that provides insights into the ribosomes and translational control of plants, demonstrated using cold acclimation [1]. • Tailored strategies for stable isotope labeling in plants: methodology focusing on materials and labeling considerations specific to free and proteinogenic amino acid analysis [2].

Rational construction of genome-minimized Streptomyces host for the expression of secondary metabolite gene clusters

Streptomyces offer a wealth of naturally occurring compounds with diverse structures, many of which possess significant pharmaceutical values. However, new product exploration and increased yield of specific compounds in Streptomyces have been technically challenging due to their slow growth rate, complex culture conditions and intricate genetic backgrounds. In this study, we screened dozens of Streptomyces strains inhabiting in a plant rhizosphere for fast-growing candidates, and further employed CRISPR/Cas-based engineering techniques for stepwise refinement of a particular strain, Streptomyces sp. A-14 that harbors a 7.47 Mb genome. After strategic removal of nonessential genomic regions and most gene clusters, we reduced its genome size to 6.13 Mb, while preserving its growth rate to the greatest extent. We further demonstrated that cleaner metabolic background of this engineered strain was well suited for the expression and characterization of heterologous gene clusters, including the biosynthetic pathways of actinorhodin and polycyclic tetramate macrolactams. Moreover, this streamlined genome is anticipated to facilitate directing the metabolic flux towards the production of desired compounds and increasing their yields.

Applying metabolic modeling and multi-omics to elucidate the biotransformation mechanisms of marine algal toxin domoic acid (DA) in sediments

Domoic acid (DA)-producing algal blooms are a global marine environmental issue. However, there has been no previous research addressing the question regarding the fate of DA in marine benthic environments. In this work, we investigated the DA fate in the water-sediment microcosm via the integrative analysis of a top-down metabolic model, metagenome, and metabolome. Results demonstrated that biodegradation is the leading mechanism for the nonconservative attenuation of DA. Specifically, DA degradation was prominently completed by the sediment aerobic community, with a degradation rate of 0.0681 ± 0.00954 d−1. The DA degradation pathway included hydration, dehydrogenation, hydrolysis, decarboxylation, automatic ring opening of hydration, and β oxidation reactions. Moreover, the reverse ecological analysis demonstrated that the microbial community transitioned from nutrient competition to metabolic cross-feeding during DA degradation, further enhancing the cooperation between DA degraders and other taxa. Finally, we reconstructed the metabolic process of microbial communities during DA degradation and confirmed that the metabolism of amino acid and organic acid drove the degradation of DA. Overall, our work not only elucidated the fate of DA in marine environments but also provided crucial insights for applying metabolic models and multi-omics to investigate the biotransformation of other contaminants.

Co-operative forest owner associations - harmonized values for sustainable development?

Sustainable development is an important concept for competitive advantage for all types of organisations and is often implemented by a top-down strategic approach. Forest owner associations are based on the co-operative idea and are therefore expected to include key stakeholders such as members in strategic decisions. A challenge is to incorporate strategic sustainability management in an organisation. It refers to considering organisational objectives, maintaining relations with key stakeholders and keeping the organisational identity. This study aimed to explore how forest owner associations position themselves for sustainable development. A qualitative case study based on semi-structured interviews, (including five employees and eleven members) and sustainability reports suggests that sustainable development is integrated to different extents in forest owner associations in Sweden. A strategic approach is deemed necessary for a dynamic incorporation of sustainable development that is structured and leads to the improvement of responsible practice in the organisation. This study highlights the importance of considering sustainability strategies and co-operative identity in the process of implementing sustainability management in forest co-operatives. Further research could focus on corporate strategies for sustainable development with an extended longitudinal perspective.