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Taking the pulse of Earth's tropical forests using networks of highly distributed plots

Tropical forests are the most diverse and productive ecosystems on Earth. While better understanding of these forests is critical for our collective future, until quite recently efforts to measure and monitor them have been largely disconnected. Networking is essential to discover the answers to questions that transcend borders and the horizons of funding agencies. Here we show how a global commun

Climate change projections of terrestrial primary productivity over the Hindu Kush Himalayan forests

Increasing atmospheric carbon dioxide concentration [CO2] caused by anthropogenic activities has triggered a requirement to predict the future impact of [CO2] on forests. The Hindu Kush Himalayan (HKH) region comprises a vast territory including forests, grasslands, farmlands and wetland ecosystems. In this study, the impacts of climate change and land-use change on forest carbon fluxes and vegeta

Customer expectations of unattended grocery delivery services: mapping forms and determinants

PurposeIn the rapidly growing e-grocery segment, unattended delivery is an emerging practice with the potential to offer a superior delivery experience. The purpose of this study is to contribute to the body of knowledge for unattended grocery delivery services by empirically identifying and describing the forms and determinants of customer expectations.Design/methodology/approachA multiple case s

Capacitance Scaling in In0.71Ga0.29As/InP MOSFETs with Self-Aligned a:Si Spacers

In0.71Ga0.29As/InP (12/2 nm) quantum well MOSFETs using sacrificial amorphous silicon (a:Si) spacers to achieve low parasitic capacitance are fabricated. Radio frequency characterization of 73 devices is used to study the intrinsic and extrinsic capacitances. The total gate intrinsic parasitic capacitance of 0.55 fF/μm is achieved with an intrinsic gate capacitance of 0.39 μF/cm2. The various para

Rapid Exclusion of COVID Infection With the Artificial Intelligence Electrocardiogram

Objective: To rapidly exclude severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection using artificial intelligence applied to the electrocardiogram (ECG). Methods: A global, volunteer consortium from 4 continents identified patients with ECGs obtained around the time of polymerase chain reaction–confirmed COVID-19 diagnosis and age- and sex-matched controls from the same sites. Cli

Fertility outcomes in women with pre-existing type 2 diabetes—a prospective cohort study

Objective: To study childbirth and the risk of miscarriage and infertility among women who have received a diagnosis of type 2 diabetes before the start of their reproductive journey. Design: Register-based cohort study using the Skåne Healthcare Register Setting: All healthcare visits for the whole population of the southernmost region in Sweden over the past 20 years Patient(s): All women who we

MiR-205 is up-regulated in islets of diabetes-susceptible mice and targets the diabetes gene Tcf7l2

Aim: MicroRNAs play an important role in the maintenance of cellular functions by fine-tuning gene expression levels. The aim of the current study was to identify genetically caused changes in microRNA expression which associate with islet dysfunction in diabetic mice. Methods: To identify novel microRNAs involved in islet dysfunction, transcriptome and miRNome analyses were performed in islets of