39 research outputs found
Anomalous photon diffusion in atomic vapors
The multiple scattering of photons in a hot, resonant, atomic vapor is
investigated and shown to exhibit a L\'evy Flight-like behavior. Monte Carlo
simulations give insights into the frequency redistribution process that
originates the long steps characteristic of this class of random walk
phenomena
Business Model Innovation for Strong Sustainability: Conceptualizing Degrowth Value Creation in the Dutch Fashion Industry
Purpose: Overconsumption and overproduction in the fashion industry have detrimental impacts on the environment and society. A radical transition of the industry is required to eliminate the impact generated by years of exploiting the Earth’s finite resources while ignoring planetary boundaries. A degrowth transition entails an equitable downscaling of production and consumption in the Global North to increase human well-being and enhance environmental conditions. This article aims to generate an empirical understanding of conceptualizing degrowth in business models, with an emphasis on how value is created in the examined companies and to bridge the gap between two research fields: degrowth and business model innovation for strong sustainability.
Design/Methodology/Approach: Our qualitative study investigates how 12 selected companies in the Dutch fashion industry conceptualize degrowth in their business models to create value.
Findings: Our results reveal that profit distribution is de-emphasized and that prioritizing social, ecological, and economic value while promoting growth in size and revenue allows these companies to outperform unsustainable competition. Consequently, we found that the examined companies create degrowth value through quality growth. Value maintaining is achieved by reducing resource use and output within production, combined with designing for durability, repairability, and longevity in clothing. The examined companies also share value by collaborating in the exchange of physical resources, knowledge, and skills to facilitate a sustainability transition in the industry. In terms of value unlocking, the companies operationalize degrowth while operating as sustainability influencers and demonstrating transparency regarding the sustainability of their operations and products.
Originality/Value: Our study contributes to a practical understanding of sustainable business models that support degrowth-oriented value creation in for-profit fashion companies. Conceptually, the findings highlight key degrowth principles employed by these businesses—such as leveraging sustainability influencers, maintaining transparency about the sustainability of operations and products, assuming responsibility for post-consumer product management, and ensuring fair value distribution. These principles are then linked to value functions that drive sustainable value creation. Finally, this study enriches the existing literature by offering empirical insights into how degrowth principles are implemented at the organizational level
Mitochondrial dysfunction and pathophysiology of Charcot-Marie-Tooth disease involving GDAP1 mutations
Charcot-Marie-Tooth (CMT) disease represents a large group of clinically and genetically heterogeneous disorders leading to inherited peripheral neuropathies affecting motor and sensory neurons. Mutations in the ganglioside-induced differentiation-associated-protein 1 gene (GDAP1), which encodes a protein anchored to the mitochondrial outer membrane, are usually associated with the recessive forms of CMT disease and only rarely with the autosomal dominant forms. The function of GDAP1 is not fully understood but it plays a role in mitochondrial dynamics by promoting fission events. We present an overview of GDAP1 and the corresponding protein together with the complete spectrum of the 41 gene mutations described so far. We examine the relationship between the genotype and the phenotype in the various forms of CMT disease related to GDAP1 mutations, and discuss the pathophysiological hypotheses that link peripheral neuropathies to mitochondrial dysfunction and GDAP1 mutations. The meta-analysis of the literature reveals the great heterogeneity of phenotypic presentations and shows that the recessive forms of CMT disease, i.e. CMT4A and AR-CMT2, are far more severe than the dominant form, i.e. CMT2K. Among patients with recessive forms of the disease, those carrying truncating mutations are more seriously affected, often becoming wheelchair-bound before the end of the third decade. At the neuronal level, GDAP1 mutations may lead to perturbed axonal transport and impaired energy production as in other neurodegenerative diseases due to mutations in genes involved in mitochondrial dynamics
Data and Image Transfer Using Mobile Phones to Strengthen Microscopy-Based Diagnostic Services in Low and Middle Income Country Laboratories
Background: The emerging market of mobile phone technology and its use in the health sector is rapidly expanding and connecting even the most remote areas of world. Distributing diagnostic images over the mobile network for knowledge sharing, feedback or quality control is a logical innovation. Objective: To determine the feasibility of using mobile phones for capturing microscopy images and transferring these to a central database for assessment, feedback and educational purposes. Methods: A feasibility study was carried out in Uganda. Images of microscopy samples were taken using a prototype connector that could fix a variety of mobile phones to a microscope. An Information Technology (IT) platform was set up for data transfer from a mobile phone to a website, including feedback by text messaging to the end user. Results: Clear images were captured using mobile phone cameras of 2 megapixels (MP) up to 5MP. Images were sent by mobile Internet to a website where they were visualized and feedback could be provided to the sender by means of text message. Conclusion: The process of capturing microscopy images on mobile phones, relaying them to a central review website and feeding back to the sender is feasible and of potential benefit in resource poor settings. Even though the system needs furthe
Development and application of a fragment-based docking approach to model protein-ssRNA interactions
Les interactions ARN-protéine interviennent dans de nombreux processus cellulaires fondamentaux. L'obtention de détails à l'échelle atomique de ces interactions nous éclaire sur leurs fonctions, mais permet également d'envisager la conception rationnelle de ligands pouvant les moduler. Lorsque les deux techniques majeures que sont la RMN et la cristallographie aux rayons X ne permettent pas d'obtenir une structure 3D entre les deux partenaires, des approches de docking peuvent être utilisées pour apporter des modèles. L'application de ces approches aux complexes ARN-protéine se heurtent cependant à une difficulté. Ces complexes résultent en effet souvent de la liaison spécifique d'une courte séquence d'ARN simple-brin (ARNsb) à sa protéine cible. Hors, la flexibilité inhérente aux segments simples-brins impose dans une approche classique de docking d'explorer un large ensemble de leur espace conformationnel. L'objectif du projet est de contourner cette difficulté par le développement d'une approche de docking dite "par fragments". Ce dernier s'est fait à partir de domaines de liaison à l'ARN très représentés dans le monde du vivant. Les résultats ont montré une excellente capacité prédictive de l'approche à partir de la séquence de l'ARN. Ils ont de plus montré un potentiel intéressant dans la prédiction de séquences d'ARN simple-brin préférentiellement reconnues par des domaines de liaisons à l'ARN.RNA-protein interactions mediate numerous fundamental cellular processes. Atomic scale details of these interactions shed light on their functions but can also allow the rational design of ligands that could modulate them. NMR and X-ray crystallography are the 2 main techniques used to resolve 3D highresolution structures between two interacting molecules. Docking approaches can also be utilized to give models as an alternative. However, the application of these approaches to RNA-protein complexes is hampered by an issue. RNA-protein interactions often relies on the specific recognition of a short singlestranded RNA (ssRNA) sequence by the protein. The inherent flexibility of the ssRNA segment would impose, in a classical docking approach, to explore their resulting large conformation space which is not computationally reliable. The goal of this project is to overcome this barrier by using a fragment-based docking approach. This approach developed from some of the most represented RNA-binding domains showed excellent results in the prediction of the ssRNA-protein binding mode from the RNA sequence and also a great potential to predict preferential RNA binding sequences
Développement et application d’une approche de docking par fragments pour modéliser les interactions entre protéines et ARN simple-brin
RNA-protein interactions mediate numerous fundamental cellular processes. Atomic scale details of these interactions shed light on their functions but can also allow the rational design of ligands that could modulate them. NMR and X-ray crystallography are the 2 main techniques used to resolve 3D highresolution structures between two interacting molecules. Docking approaches can also be utilized to give models as an alternative. However, the application of these approaches to RNA-protein complexes is hampered by an issue. RNA-protein interactions often relies on the specific recognition of a short singlestranded RNA (ssRNA) sequence by the protein. The inherent flexibility of the ssRNA segment would impose, in a classical docking approach, to explore their resulting large conformation space which is not computationally reliable. The goal of this project is to overcome this barrier by using a fragment-based docking approach. This approach developed from some of the most represented RNA-binding domains showed excellent results in the prediction of the ssRNA-protein binding mode from the RNA sequence and also a great potential to predict preferential RNA binding sequences.Les interactions ARN-protéine interviennent dans de nombreux processus cellulaires fondamentaux. L'obtention de détails à l'échelle atomique de ces interactions nous éclaire sur leurs fonctions, mais permet également d'envisager la conception rationnelle de ligands pouvant les moduler. Lorsque les deux techniques majeures que sont la RMN et la cristallographie aux rayons X ne permettent pas d'obtenir une structure 3D entre les deux partenaires, des approches de docking peuvent être utilisées pour apporter des modèles. L'application de ces approches aux complexes ARN-protéine se heurtent cependant à une difficulté. Ces complexes résultent en effet souvent de la liaison spécifique d'une courte séquence d'ARN simple-brin (ARNsb) à sa protéine cible. Hors, la flexibilité inhérente aux segments simples-brins impose dans une approche classique de docking d'explorer un large ensemble de leur espace conformationnel. L'objectif du projet est de contourner cette difficulté par le développement d'une approche de docking dite "par fragments". Ce dernier s'est fait à partir de domaines de liaison à l'ARN très représentés dans le monde du vivant. Les résultats ont montré une excellente capacité prédictive de l'approche à partir de la séquence de l'ARN. Ils ont de plus montré un potentiel intéressant dans la prédiction de séquences d'ARN simple-brin préférentiellement reconnues par des domaines de liaisons à l'ARN
Sensing and seizing in the apparel industry: the role of dynamic capabilities in fostering sustainable strategic orientations
Purpose
This paper aims to explore how the dynamic capabilities sensing and seizing could support a sustainable (either instrumental or stewardship) strategic orientation in the apparel industry.
Design/methodology/approach
Through qualitative and inductive research design, ten companies from the Sustainable Apparel Coalition, specifically focusing on brands, were researched. Employees in strategic positions were interviewed. Subsequently, thematic analysis was realized to extract findings from both instrumental and stewardship organizations.
Findings
Instrumental organizations focus on increasing their brand, mainly by following market demands. They sense opportunities via a hierarchical organizational structure that allows for incremental innovation based on internal competition. Stewardship organizations believe in a collective approach toward conducting business effectively. While building a “sustainable case for business”, a stewardship-oriented company senses by involving their stakeholders and seeks unorthodox opportunities using a long-term internal compass as a beacon for decision-making.
Originality/value
Key capabilities are revealed that allow businesses and managers to reach higher levels of sustainability in a specific sector: the apparel industry. Especially the capabilities of stewardship-oriented companies and its ambidexterity provide a fertile base for future research at the nexus of organization development and sustainability.
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