Results 21 to 30 of about 9,149,613 (368)
With a growing consensus on the need to address malnutrition in a comprehensive and multisectoral way, there has been increased attention on the processes and factors for multisectoral nutrition planning to be successful.
Amanda Coile+5 more
doaj +1 more source
Although low-income countries have recently seen an exponential flourishing of digital health initiatives, the landscape is characterised by a myriad of small pilots that rarely reach scaling, sustainability and wide adoption.
Riccardo Lampariello+1 more
doaj +1 more source
Background Annually, undernutrition contributes globally to 45% (3.1 million) of preventable deaths in children under 5. Effect following undernutrition i.e. physical growth & cognitive development etc.
Leila H. Abdullahi+6 more
doaj +1 more source
Scaling Vision Transformers [PDF]
Attention-based neural networks such as the Vision Transformer (ViT) have recently attained state-of-the-art results on many computer vision benchmarks.
Xiaohua Zhai+3 more
semanticscholar +1 more source
To meet the 2030 goal to end all types of malnutrition, thoroughly investigating and addressing context-specific factors of undernutrition is crucial. Therefore, this study assessed the prevalence of undernutrition and associated factors among children ...
Gosa Girma Ararsa+3 more
doaj +1 more source
We present a new correspondence between a d-dimensional dynamical system and a whole family of (d+1)-dimensional systems. This new scale-holographic relation is built by the explicit introduction of a dimensionful constant which determines the size of the additional dimension.
Ruiz Cembranos, José Alberto+2 more
openaire +5 more sources
Scaling deep learning for materials discovery
Novel functional materials enable fundamental breakthroughs across technological applications from clean energy to information processing^ 1 – 11 . From microchips to batteries and photovoltaics, discovery of inorganic crystals has been bottlenecked by ...
Amil Merchant+5 more
semanticscholar +1 more source
Explaining neural scaling laws [PDF]
Significance The population loss of trained deep neural networks has been empirically observed to improve as a power law in a variety of large models and datasets. We investigate the origins behind such “scaling laws” and provide a taxonomy for different
Yasaman Bahri+4 more
semanticscholar +1 more source
The scales of the infrared [PDF]
Abstract In theories with long-range forces like QED or perturbative gravity, loop corrections lead to vanishing amplitudes. There are two well-known procedures to address these infrared divergences: dressing of asymptotic states and inclusion of soft emission.
Raoul Letschka+4 more
openaire +5 more sources
Phase-change random access memory (PCRAM) is widely regarded as one of the most promising candidates to replace Flash memory as the next generation of non-volatile memories due to its high-speed and low-power consumption characteristics. Recent advent of
Xiaojuan Lian+10 more
doaj +1 more source