Project description:The need to evaluate suppliers from the perspective of risk analysis by purchasing companies is increasing. Such evaluation of suppliers is conducted primarily by production companies with implemented quality (QMS), environmental (EMS), health and safety management systems (H&SMS), as well as Toyota Production System (TPS). This article aims to examine latent factors for suppliers' evaluation and to describe the intensity of these factors by the implemented management system. The article provides the results of empirical research conducted with the computer-assisted telephone interviewing (CATI) technique in 151 medium and large manufacturing companies operating in Poland. The risk was classified into three main groups to deepen the research process: management system risks, environment risks, and process risks. This allowed for the formulation of some original conclusions. The results showed that companies implementing standardized management systems take the issue of risk analysis and management more seriously than organizations that do not implement such systems. The research also highlighted the differences in the perception of risk caused by implementing various management systems. The study also found that the industry and business profile specificity also affect the risk assessment in cooperation with suppliers.
Project description:Cement producers and their investors are navigating evolving risks and opportunities as the sector's climate and sustainability implications become more prominent. While many companies now disclose greenhouse gas emissions, the majority from carbon-intensive industries appear to delegate emissions to less efficient suppliers. Recognizing this, we underscore the necessity for a globally consolidated asset-level dataset, which acknowledges production inputs provenance. Our approach not only consolidates data from established sources like development banks and governments but innovatively integrates the age of plants and the sourcing patterns of raw materials as two foundational variables of the asset-level data. These variables are instrumental in modeling cement production utilization rates, which in turn, critically influence a company's greenhouse emissions. Our method successfully combines geospatial computer vision and Large Language Modelling techniques to ensure a comprehensive and holistic understanding of global cement production dynamics.
Project description:The metabolism and intercellular transfer of glutathione or its precursors may play an important role in cellular defense against oxidative stress, a common hallmark of neurodegeneration. In the 1990s, several studies in the Neurobiology field led to the widely accepted notion that astrocytes produce large amounts of glutathione that serve to feed neurons with precursors for glutathione synthesis. This assumption has important implications for health and disease since a reduction in this supply from astrocytes could compromise the capacity of neurons to cope with oxidative stress. However, at first glance, this shuttling would imply a large energy expenditure to get to the same point in a nearby cell. Thus, are there additional underlying reasons for this expensive mechanism? Are neurons unable to import and/or synthesize the three non-essential amino acids that are the glutathione building blocks? The rather oxidizing extracellular environment favors the presence of cysteine (Cys) as cystine (Cis), less favorable for neuronal import. Therefore, it has also been proposed that astrocytic GSH efflux could induce a change in the redox status of the extracellular space nearby the neurons, locally lowering the Cis/Cys ratio. This astrocytic glutathione release would also increase their demand for precursors, stimulating Cis uptake, which these cells can import, further impacting the local decline of the Cis/Cys ratio, in turn, contributing to a more reduced extracellular environment and subsequently favoring neuronal Cys import. Here, we revisit the experimental evidence that led to the accepted hypothesis of astrocytes acting as suppliers of neuronal glutathione precursors, considering recent data from the Human Protein Atlas. In addition, we highlight some potential drawbacks of this hypothesis, mainly supported by heterogeneous cellular models. Finally, we outline additional and more cost-efficient possibilities by which astrocytes could support neuronal glutathione levels, including its shuttling in extracellular vesicles.
Project description:Can Building-Integrated Nature-based Solutions (BI-NbS) reach their full potential in the Global South? In the Egyptian context, BI-NbS are relatively new with an identified gap between the high potential in theory and low implementation rates in practice. To bridge this gap, the study conducts an in-depth investigation of BI-NbS market conditions to reveal the current trends in the residential buildings market in Egypt. It also identifies the gaps and overlaps in the perceptions of the suppliers and consumers of BI-NbS. Results reveal that the residential sector sales mainly target high-income groups yet very limited and dominated by rooftop systems. Suppliers advocate for high-tech systems over low-tech systems, whereas consumers prefer the latter. The perceptions of suppliers and consumers mostly align regarding the basic aspects such as the production and operation preferences as well as the anxieties and concerns about the relatively new BI-NbS in this regional context. However, they diverge in key aspects affecting market penetration such as implementation conditions, aims, and barriers. Accordingly, the study identified the gap between suppliers and consumers, and outlined recommendations, directed to suppliers and policymakers, for improved market development and local implementation of BI-NbS in emerging markets of the Global South, such as Egypt.
Project description:BackgroundThe proportion of days covered (PDC) is used to estimate medication adherence by looking at the proportion of days in which a person has access to the medication, over a given period of interest. This study aimed to adapt the PDC algorithm to allow for plausible assumptions about prescription refill behaviour when applied to data from online pharmacy suppliers.MethodsThree PDC algorithms, the conventional approach (PDC1) and two alternative approaches (PDC2 and PDC3), were used to estimate adherence in a real-world dataset from an online pharmacy. Each algorithm has different denominators and increasing levels of complexity. PDC1, the conventional approach, is the total number of days between first dispensation and a defined end date. PDC2 counts the days until the end of supply date. PDC3 removes from the denominator specifically defined large gaps between refills, which could indicate legitimate reasons for treatment discontinuation. The distribution of the three PDCs across four different follow-up lengths was compared.ResultsThe dataset included people taking ACE inhibitors (n = 65,905), statins (n = 100,362), and/or thyroid hormones (n = 30,637). The proportion of people taking ACE inhibitors with PDC ≥ 0.8 was 50-74% for PDC1, 81-91% for PDC2, and 86-100% for PDC3 with values depending on drug and length of follow-up. Similar ranges were identified in people taking statins and thyroid hormones.ConclusionThese algorithms enable researchers and healthcare providers to assess pharmacy services and individual levels of adherence in real-world databases, particularly in settings where people may switch between different suppliers of medicines, meaning an individual supplier's data may show temporary but legitimate gaps in access to medication. Accurately identifying problems with adherence provides the foundation for opportunities to improve experience, adherence and outcomes and to reduce medicines wastage. Research with people taking medications and prescribers is required to validate the algorithms' assumptions.
Project description:Enhancing work safety behaviors among Small and Medium-Sized Manufacturing Suppliers (SMMs) is crucial for establishing a more secure and efficient supply chain. Since the foundation of safety lies in positive prevention, it is crucial that SMMs adopt proactive and pro-social work safety behaviors that transcend mere compliance with standard regulations. Present-day diversified supply chain safety management apply varying degrees of pressures on SMMs. The effectiveness of such pressures, as well as their potential to spawn advanced safety behaviors in SMMs, is a matter of investigation. This research investigates the impact of Supply Chain Safety Management Pressure(SCSMP) on the SMMs' Work Safety Behaviors(WSB). A theoretical framework is constructed, grounded in institutional theory and theory of planned behavior, which earmarks three distinct dimensions of SCSMP: Coercive Pressure(CP), Mimetic Pressure(MP), and Normative Pressure(NP). The survey of 265 SMMs facilitated an assessment of the SMMs' Willingness for Responses(WR), which includes their Willingness for Adaptive Responses(WAR) and Willingness for Co-creative Responses(WCR). Subsequently, the resulting WSB entail Safety Compliance Behavior(SCB), Proactive Safety Behavior(PSB), and Pro-social Safety Behavior(PsSB). Among these, SCB is categorized as a basic safety behavior, while PSB and PsSB which emphasize voluntary, active, and cooperative actions, are classified as advanced safety behaviors. Our research findings underscore the substantial influence of the SCSMP in shaping WSB. WR serves as a critical intermediary, connecting external pressures with internal organizational practices. In particular, WCR is instrumental in the formation of advanced safety behavior. The theoretical contribution of this research is manifested in its enhancement of our comprehension regarding the determinants of WSB among SMMs. Furthermore, it addresses the literature gap in elucidating the effectiveness of supply chain safety management and the mechanisms behind the formation of WSB. The practical significance lies in elevating the overall safety standards throughout the supply chain and minimizing safety-related hazards among SMMs.
Project description:Over the past decade, 3C-related methods have provided remarkable insights into chromosome folding in vivo. To overcome the limited resolution of prior studies, we extend a recently developed Hi-C variant, Micro-C, to map chromosome architecture at nucleosome resolution in human ESCs and fibroblasts. Micro-C robustly captures known features of chromosome folding including compartment organization, topologically associating domains, and interactions between CTCF binding sites. In addition, Micro-C provides a detailed map of nucleosome positions and localizes contact domain boundaries with nucleosomal precision. Compared to Hi-C, Micro-C exhibits an order of magnitude greater dynamic range, allowing the identification of ∼20,000 additional loops in each cell type. Many newly identified peaks are localized along extrusion stripes and form transitive grids, consistent with their anchors being pause sites impeding cohesin-dependent loop extrusion. Our analyses comprise the highest-resolution maps of chromosome folding in human cells to date, providing a valuable resource for studies of chromosome organization.
Project description:While a role for sleep in declarative memory processing is established, the qualitative nature of this consolidation benefit, and the physiological mechanisms mediating it, remain debated. Here, we investigate the impact of sleep physiology on characteristics of episodic memory using an item- (memory elements) and context- (contextual details associated with those elements) learning paradigm; the latter being especially dependent on the hippocampus. Following back-to-back encoding of two word lists, each associated with a different context, participants were assigned to either a Nap-group, who obtained a 120-min nap, or a No Nap-group. Six hours post-encoding, participants performed a recognition test involving item-memory and context-memory judgments. In contrast to item-memory, which demonstrated no between-group differences, a significant benefit in context-memory developed in the Nap-group, the extent of which correlated both with the amount of stage-2 NREM sleep and frontal fast sleep-spindles. Furthermore, a difference was observed on the basis of word-list order, with the sleep benefit and associated physiological correlations being selective for the second word-list, learned last (most proximal to sleep). These findings suggest that sleep may preferentially benefit contextual (hippocampal-dependent) aspects of memory, supported by sleep-spindle oscillations, and that the temporal order of initial learning differentially determines subsequent offline consolidation.
Project description:Pollicization substitutes a functioning finger for a deficient thumb. The most indication is thumb hypoplasia with absence or instability of the carpometacarpal joint. However, there are additional causes that may negate thumb function, such as trauma, macrodactyly, multi-fingered hand, and a mirror hand. The technique of pollicization represents a consolidation of contributions from surgeons over the last 100 years. A meticulous stepwise approach from incision to closure is necessary to optimize outcome. Following pollicization, cortical plasticity and motor relearning play a pivotal role in function following pollicization with connections and adjacent sprouting from nearby cortical and/or subcortical territories. Occupational therapy is necessary to encourage large object acquisition followed by smaller objects and ultimately fine pinch. Pollicization is more reliable in patients with isolated thumb hypoplasia and a mobile index finger with robust extrinsic and intrinsic muscle-tendon units compared to and patients with radial forearm deficiencies and diminished index mobility.
Project description:This paper presents a novel approach to recover true fine surface detail of deforming meshes reconstructed from multi-view video. Template-based methods for performance capture usually produce a coarse-to-medium scale detail 4D surface reconstruction which does not contain the real high-frequency geometric detail present in the original video footage. Fine scale deformation is often incorporated in a second pass by using stereo constraints, features, or shading-based refinement. In this paper, we propose an alternative solution to this second stage by formulating dense dynamic surface reconstruction as a global optimization problem of the densely deforming surface. Our main contribution is an implicit representation of a deformable mesh that uses a set of Gaussian functions on the surface to represent the initial coarse mesh, and a set of Gaussians for the images to represent the original captured multi-view images. We effectively find the fine scale deformations for all mesh vertices, which maximize photo-temporal-consistency, by densely optimizing our model-to-image consistency energy on all vertex positions. Our formulation yields a smooth closed form energy with implicit occlusion handling and analytic derivatives. Furthermore, it does not require error-prone correspondence finding or discrete sampling of surface displacement values. We demonstrate our approach on a variety of datasets of human subjects wearing loose clothing and performing different motions. We qualitatively and quantitatively demonstrate that our technique successfully reproduces finer detail than the input baseline geometry.