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This paper merges the literature on green and high-quality entrepreneurship by introducing environmental orientation as an unrecognised characteristic of start-up quality and the three quality dimensions innovativeness, growth orientation, and international orientation. Entrepreneurship literature argues that only high-quality start-ups contribute to sustainable development and that a better understanding of what determines the quality of start-ups is required. Empirical research has recently shown that the environmental orientation of start-ups is one such determinant, as it significantly predicts their innovativeness. This paper pursues this novel research avenue on the importance of environmental orientation for start-up quality in two ways. First, this paper evaluates and extends this initial evidence on environmental orientation and innovativeness by examining a three times larger sample, covering additional countries and entrepreneurial stages. Second, this paper also analyses the impact of environmental orientation on the quality dimensions of growth orientation and international orientation. Investigation using Global Entrepreneurship Monitor data on 9650 entrepreneurs from 51 countries revealed that start-ups with a higher environmental orientation are of superior quality regarding their innovativeness, growth expectations, and exports. These results remain robust for start-ups at different entrepreneurial stages, and tests employing different methodological approaches and variable definitions. However, the categorisation into factor-driven, efficiency-driven, and innovation-driven countries showed that greener start-ups are more innovative in countries at all three levels of development, while the relationships with growth orientation and international orientation remained significant for only two of the three categories. The findings of this paper provide a new approach for practitioners to identify the small number of high-quality start-ups and an economic reason warranting intensified efforts to support green start-ups.

Quantifying changes in Earth’s ice sheets and identifying the climate drivers are central to improving sea level projections. We provide unified estimates of grounded and floating ice mass change from 2003 to 2019 using NASA’s Ice, Cloud and land Elevation Satellite (ICESat) and ICESat-2 satellite laser altimetry. Our data reveal patterns likely linked to competing climate processes: Ice loss from coastal Greenland (increased surface melt), Antarctic ice shelves (increased ocean melting), and Greenland and Antarctic outlet glaciers (dynamic response to ocean melting) was partially compensated by mass gains over ice sheet interiors (increased snow accumulation). Losses outpaced gains, with grounded-ice loss from Greenland (200 billion tonnes per year) and Antarctica (118 billion tonnes per year) contributing 14 millimeters to sea level. Mass lost from West Antarctica’s ice shelves accounted for more than 30% of that region’s total.

Simultaneous observations of moulins and boreholes in western Greenland show that water delivery to the base of the ice sheet via moulins affects short-term ice velocity fluctuations, but not late-season ice velocity decelerations. Ice velocity response to subglacial pressure variation Increased meltwater delivery to the base of the Greenland Ice Sheet will increase the ice sheet velocity, accelerating its inevitable rush towards the ocean and subsequent sea level rise. Or will it? Debate on this topic is at the forefront of cryospheric research, but has been hampered by the lack of simultaneous observations of hydraulic head in moulins, vertical shafts that deliver water to the base of the ice sheet, and boreholes, which monitor basal water pressure. Lauren Andrews and colleagues now provide these observations from a small region in western Greenland and reveal that water delivery by moulins into channelized basal flow is indeed linked to short-term fluctuations in ice velocity. Late season decelerations in ice velocity, however, seem to be controlled by changes in unchannelized flow, rather than any shifts in the moulin system. Seasonal acceleration of the Greenland Ice Sheet is influenced by the dynamic response of the subglacial hydrologic system to variability in meltwater delivery to the bed 1 , 2 via crevasses and moulins (vertical conduits connecting supraglacial water to the bed of the ice sheet). As the melt season progresses, the subglacial hydrologic system drains supraglacial meltwater more efficiently 1 , 2 , 3 , 4 , decreasing basal water pressure 4 and moderating the ice velocity response to surface melting 1 , 2 . However, limited direct observations of subglacial water pressure 4 , 5 , 6 , 7 mean that the spatiotemporal evolution of the subglacial hydrologic system remains poorly understood. Here we show that ice velocity is well correlated with moulin hydraulic head but is out of phase with that of nearby (0.3–2 kilometres away) boreholes, indicating that moulins connect to an efficient, channelized component of the subglacial hydrologic system, which exerts the primary control on diurnal and multi-day changes in ice velocity. Our simultaneous measurements of moulin and borehole hydraulic head and ice velocity in the Paakitsoq region of western Greenland show that decreasing trends in ice velocity during the latter part of the melt season cannot be explained by changes in the ability of moulin-connected channels to convey supraglacial melt. Instead, these observations suggest that decreasing late-season ice velocity may be caused by changes in connectivity in unchannelized regions of the subglacial hydrologic system. Understanding this spatiotemporal variability in subglacial pressures is increasingly important because melt-season dynamics affect ice velocity beyond the conclusion of the melt season 8 , 9 , 10 .

The Advanced Topographic Laser Altimetry System (ATLAS) onboard the NASA Ice, Cloud and land Elevation Satellite-2 (ICESat-2) is the newest and most recent Earth observing satellite for global elevation studies. The primary objectives for ICESat-2 follow that of its predecessor, ICESat, and focus on providing cryospheric measurements to determine ice sheet mass balance, and monitor both sea ice thickness and extent. However, the global observations support secondary science objectives such as biomass estimation, inland water elevation, sea state height and aerosol concentrations. In all, ATLAS measurements support 7 along-track geophysical products with multiple gridded products to provide regional and global change detection for seasonal and annual cycles. Since the launch of ICESat-2, the instrument has operated nominally and collected more than a trillion measurements. This paper provides an overview of the mission, a description of the operational components that support the altimeter products for science discovery and on-orbit observatory performance.

NASA launched its second Earth observing laser altimeter in 2018 with mission objectives of studying the changes in our climate by monitoring global elevations, particularly in the polar regions. Since the mission is focused on generating accurate elevations and elevation change, the geolocation (or geodetic position) of the measurements are of upmost importance to each of the scientific disciplines supported by these observations. Geolocation validation is required to ensure that the mission is meeting its objectives with the appropriate level of geolocation accuracy. One validation technique uses small optical reflectors placed in a specific pattern along one or more satellite ground-tracks. The optics provide a unique signal back to the satellite that can be used to compare the geolocation of these returns in the data to the known position on the surface. Results of the position comparison indicate the measurement locations are accurate to within 3.5 m with a standard deviation of 1.6 m. They also provide a method for determining a representative footprint diameter using geometric analysis, which resulted in an average value of 10.9 m +- 2.1 m.

Penetration of surface meltwater to the bed of the Greenland Ice Sheet each summer causes an initial increase in ice speed due to elevated basal water pressure, followed by slowdown in late summer that continues into fall and winter. While this seasonal pattern is commonly explained by an evolution of the subglacial drainage system from an inefficient distributed to efficient channelized configuration, mounting evidence indicates that subglacial channels are unable to explain important aspects of hydrodynamic coupling in late summer and fall. Here we use numerical models of subglacial drainage and ice flow to show that limited, gradual leakage of water and lowering of water pressure in weakly connected regions of the bed can explain the dominant features in late and post melt season ice dynamics. These results suggest that a third weakly connected drainage component should be included in the conceptual model of subglacial hydrology.

This prospective observational trial investigated effects and safety of periodic fasting in subjects with and without type 2 diabetes mellitus (T2DM). The primary end point was set as the change of fatty liver index (FLI) as a surrogate parameter of non-alcoholic fatty liver disease (NAFLD). Six-hundred and ninety-seven subjects (38 with T2DM) were enrolled. A baseline FLI ≥ 60 (the threshold for fatty liver) was found in 264 subjects (37.9%). The mean duration of fasting was 8.5 ± 4.0 days (range 6–38). FLI decreased significantly (−14.02 ± 11.67; p < 0.0001), with a larger effect in individuals with T2DM (−19.15 ± 11.0; p < 0.0001; p = 0.002 compared to non-diabetic subjects). Body mass index (BMI) decreased by −1.51 ± 0.82 kg/m2, and 49.9% of the subjects lost ≥5% body weight. After fasting, nearly half of the 264 subjects with FLI ≥ 60 (highest risk category) shifted to a lower category. The improvement of FLI correlated with the number of fasting days (r = −0.20, p < 0.0001) and with the magnitude of BMI reduction (r = 0.14, p = 0.0001). Periodic fasting with concomitant weight reduction leads to significant rapid improvement of FLI in subjects with and without T2DM.