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Despite their growing numbers, college students with disabilities (SWD) are often overlooked in the context of campus support for career development. The purpose of this practice brief is to provide a framework and a set of recommended actions for higher education leaders, administrators, and staff in disability and career services in order to better support the unique needs of SWD in their career development. Through a combined lens of crip theory and the theory of whole self, we call for higher education institutions to (a) provide targeted career services for SWD, (b) build business partnerships through which SWD can develop careers, and (c) incorporate disability as a critical diversity factor of the institution for service effectiveness and sustainability.

Within the context of the so‐called green energy transition, the mining industry has successfully repositioned itself as a facilitator of, rather than an impediment to, a sustainable future. Underlying the success of this claim is a discourse of sustainability that, on the one hand, equates sustainability with decarbonisation and, on the other hand, insists that the rapid expansion of renewable energy generation and storage infrastructures is the only viable way to decarbonise. Reflecting specifically on the mining industry's increasingly central role within this discourse, this article identifies three key modalities of decarbonisation, each of which involves energy storage as an important component: decarbonisation through mining; decarbonisation of mining; and decarbonisation of mines themselves. Analysing these modalities through the emergent literature on the political ecology of storage, which highlights both the spatial and temporal elements of storage infrastructures, we argue that the reinforcement and expansion of green extractivist logics is driven, in part, by the idea that extractivism can and will unlock new spaces and temporalities of decarbonisation through the installation and expansion of energy storage infrastructures. Consequently, energy storage in mining decarbonisation is not only a form of accumulation, but a condition of possibility for sustaining and generating new forms of capitalist extraction. [ABSTRACT FROM AUTHOR]

This study evaluates the feasibility of applying the Estimating the Circulation and Climate of the Ocean (ECCO) data assimilation (DA) framework to a submesoscale-resolving model [Massachusetts Institute of Technology General Circulation Model (MITgcm), at 1-km grid resolution]. This is in preparation for future studies to understand and assimilate the novel swath measurements of sea surface height from the Surface Water and Ocean Topography (SWOT) satellite mission. The model domain is centered at the SWOT calibration/validation (CalVal) site, located 300 km offshore of Monterey Bay, California. We assimilate vertical profiles of temperature and salinity from a linear array of three SWOT prelaunch CalVal moorings, between September and December 2019. Two model solutions are analyzed: 1) a nonassimilating forward simulation termed "first-guess" and 2) an optimized solution that assimilates the in situ observations. Both runs are nested within the global 1/12° Hybrid Coordinate Ocean Model that uses Navy Coupled Ocean Data Assimilation (HYCOM/NCODA) analysis. We evaluate the performance by comparing the two model solutions against assimilated and withheld in situ observations. We show that by assimilating hydrographic data, the model performance over the first-guess solution is improved with an error-to-observation reduction of 30%–45% for temperature, 14%–41% for salinity, and 44%–56% for steric height. Over the study period, the average steric height error at the three assimilated moorings was 1.27 cm for the optimized solution versus 2.6 cm for the first-guess solution. A comparison to withheld glider observations shows that the optimized solution outperforms the first-guess solution with an error-to-observation reduction of approximately 38% in steric height (1.5 versus 2.4 cm). This study indicates, for the first time, that the MITgcm–ECCO framework can be successfully applied to the reconstruction of submesoscale ocean variability, via the nesting of a high-resolution regional domain into a global outer domain. [ABSTRACT FROM AUTHOR]

The outsize influence of asset managers raises important questions about the relationship between fund managers and the companies in which they are invested, with recent theorists of asset manager capitalism suggesting an emergent disinterest in the performance of individual firms among large asset managers. Investors' growing focus on environmental, social, and governance (ESG) data in financial decisions offers one window into this relationship. Drawing on interviews with the ESG team and a group of portfolio managers at a large European bank, I argue that ESG analysis is seen as valuable not because of some unique social, environmental, or even financial benefits, but because it helps asset managers more effectively govern the companies in which they are invested by objectifying and depoliticizing their interventions in the governance of invested companies. This contributes to emerging theories of asset manager capitalism by calling attention to the strategies asset managers develop to exercise control over invested companies. [ABSTRACT FROM AUTHOR]

Despite their growing numbers, college students with disabilities (SWD) are often overlooked in the context of campus support for career development. The purpose of this practice brief is to provide a framework and a set of recommended actions for higher education leaders, administrators, and staff in disability and career services in order to better support the unique needs of SWD in their career development. Through a combined lens of crip theory and the theory of whole self, we call for higher education institutions to (a) provide targeted career services for SWD, (b) build business partnerships through which SWD can develop careers, and (c) incorporate disability as a critical diversity factor of the institution for service effectiveness and sustainability. [ABSTRACT FROM AUTHOR]

Introduction Kidney stone disease (KSD) has a lifetime prevalence of up to 14% in the United Kingdom. Primary and secondary prevention of KSD via dietary intervention is a low-cost public health intervention and remains the best preventative strategy against urolithiasis. Material and methods This prospective study was conducted on kidney stone patients attending a stone clinic at our tertiary endourology centre. Patients were taken through a questionnaire, which was completed in the clinic by a trained specialist endourology nurse. Results A total of 259 patients completed the questionnaire. 141 (54.4%) had an active stone during the clinic visit with the remaining 118 (45.6%) with a history of stone treatment. Regarding barriers to fluid intake, 43 (16.6%) patients did not have a habit of drinking water or felt too bloated, 36 (13.9%) did not like the taste, 17 (6.6%) were not thirsty, 10 (3.9%) of patients were too busy. Of those who answered, 108 (46.8%) patients did not believe there was a link between fluid intake and stone formation. A belief of a link between fluid intake and stone formation significantly predicted fluid intake (p = 0.024) with people who did believe in this drinking less water. Conclusions There are numerous perceived barriers to adequate fluid intake, with almost half of all patients not believing that there is a link between fluid intake and stone formation. This misunderstanding may predict a lower fluid intake. More attention should therefore be focussed on patient education and primary prevention aspects to avoid kidney stone recurrence. [ABSTRACT FROM AUTHOR]

A data assimilation system for a high-resolution model has been developed to address the opportunities and challenges posed by the upcoming Surface Water and Ocean Topography (SWOT) satellite mission. This developed system is based on a three-dimensional variational data assimilation scheme (3DVAR), which is computationally highly efficient and thus can be applied to a very high-resolution model. A crucial consideration of the system is to use a multiscale data assimilation approach (MSDA) to first assimilate routinely available observations, including conventional satellite altimetry, sea surface temperature (SST) and salinity (SSS), and temperature/salinity vertical profiles, to constrain large scales and large mesoscales. High-resolution (dense) observations and future SWOT measurements can then be effectively and seamlessly assimilated to constrain the smaller scales. The 3DVAR is extended to assimilate observations over a time interval, which specifically enhances the efficacy of the assimilation of satellite along-track altimetry observations, which are limited by large repeat time intervals. Using this system, a reanalysis dataset was produced for the SWOT pre-launch field campaign that took place in the California Current System from September through December, 2019. An evaluation of this system with assimilated and withheld data demonstrates its ability to effectively utilize both routine and campaign observations to produce sea surface heights with the accuracy close to that required by SWOT. These results suggest a promising avenue for data assimilation development in the SWOT altimetry era, which will need the capability of jointly assimilating existing routine observations with SWOT measurements to resolve small-scale ocean processes. [ABSTRACT FROM AUTHOR]

A data assimilation system for a high-resolution model has been developed to address the opportunities and challenges posed by the upcoming Surface Water and Ocean Topography (SWOT) satellite mission. This developed system is based on a three-dimensional variational data assimilation scheme (3DVAR), which is computationally highly efficient and thus can be applied to a very high-resolution model. A crucial consideration of the system is to use a multiscale data assimilation approach (MSDA) to first assimilate routinely available observations, including conventional satellite altimetry, sea surface temperature (SST) and salinity (SSS), and temperature/salinity vertical profiles, to constrain large scales and large mesoscales. High-resolution (dense) observations and future SWOT measurements can then be effectively and seamlessly assimilated to constrain the smaller scales. The 3DVAR is extended to assimilate observations over a time interval, which specifically enhances the efficacy of the assimilation of satellite along-track altimetry observations, which are limited by large repeat time intervals. Using this system, a reanalysis dataset was produced for the SWOT pre-launch field campaign that took place in the California Current System from September through December, 2019. An evaluation of this system with assimilated and withheld data demonstrates its ability to effectively utilize both routine and campaign observations to produce sea surface heights with the accuracy close to that required by SWOT. These results suggest a promising avenue for data assimilation development in the SWOT altimetry era, which will need the capability of jointly assimilating existing routine observations with SWOT measurements to resolve small-scale ocean processes. [ABSTRACT FROM AUTHOR]

There is an ambivalence within political ecology about whether the unequal power relations that emerge from many development projects are intended or unintended. This ambivalence is a result of an empirical focus on the effects of these programs on target communities, as opposed to an empirical focus on the people who are responsible for developing those programs. Drawing on qualitative fieldwork among people tasked with designing, promoting, and enforcing sustainability standards in global agricultural supply chains, I argue that the empowerment of multinational corporations and well-funded environmental NGOs that characterizes market-oriented sustainability programs is, in fact, intentional. This intention reflects the belief among sustainability professionals that the intersection of western scientific expertise with the dynamics of "the market" is the most effective way to promote sustainability in global supply chains, and to generate global sustainability in a more general sense. Concepts like "stakeholder engagement" and a commitment to flexibility and accommodation in the development and adoption of social and environmental standards are examples of what I call euphemistic sustainability, which shifts critical attention away from a balance of power that is increasingly tilted toward private interests, even as that imbalance remains an intended outcome of non-state market-driven governance systems like ostensibly voluntary sustainability standards. [ABSTRACT FROM AUTHOR]

A state-of-the-art data assimilation system for a high-resolution model has been developed to address the opportunities and challenges posed by the upcoming Surface Water and Ocean Topography (SWOT) satellite mission. A new 'extended' three -dimensional variational data assimilation scheme (extended-3DVAR) is formulated to assimilate observations over a time interval, and integrated using a multi- scale approach (hereafter MSDA). The new MSDA scheme specifically enhances the efficacy of the assimilation of satellite along-track altimetry observations, which are limited by large repeat time intervals. This developed system is computationally highly efficient, and thus can be applied to a very high- resolution model. A crucial consideration of the system is first to assimilate routinely available observations, including satellite altimetry, sea surface temperature (SST) and temperature/salinity vertical profiles, to constrain large scales and large mesoscales. High-resolution (dense) observations and future SWOT measurements can then be effectively and seamlessly assimilated to constrain the smaller scales. Using this system, a reanalysis dataset was produced for the SWOT pre-launch field campaign that took place in the California Current System from September through December, 2019. An evaluation of this system with assimilated and withheld data demonstrates its ability to effectively utilize both routine and campaign observations. These results suggest a promising avenue for data assimilation development in the SWOT altimetry era, which will require the capability to efficiently assimilate large-volume datasets resolving small-scale ocean processes. [ABSTRACT FROM AUTHOR]

In 2007, Unilever, the world's largest tea company, announced plans to source its entire tea supply sustainably, beginning with the certification of its tea producers in East Africa to Rainforest Alliance standards. As a major buyer of Kenyan tea, Unilever's decision pushed tea producers across Kenya to subscribe to Rainforest Alliance's sustainable agriculture standard in order to maintain access to the global tea market; according to a 2018 report, over 85% of Kenya's tea producers were Rainforest Alliance certified. Drawing on ethnographic material among supply chain actors across different sites along the sustainable tea value chain (from those designing and disseminating standards to tea traders to smallholder tea farmers), this article examines how these actors frequently attributed the power to determine the outcomes of certification to a faceless 'market'. Deferring to 'the market', we observe, served primarily to mask the outsized power of lead firms (in particular Unilever) to determine conditions of tea production and trade. At the same time, 'the market' was also in some cases qualified by our interlocutors, allowing them implicitly (and at times explicitly) to reveal power and give it a face. Concealing and revealing power in this way, we suggest, can be seen as a mode of engagement among supply chain actors operating in 'sustainable' supply chains, like the Rainforest Alliance-certified Kenyan tea supply chain, in which the power of lead firms tends to be consolidated through market-driven sustainability initiatives. Such a mode of engagement mitigates exclusion from sustainable supply chains while maintaining space for critique. [ABSTRACT FROM AUTHOR]