Results 221 to 230 of about 5,866,634 (343)

A system dynamics‐based framework for bioenergy planning in sub‐Saharan Africa: integrating circular bioeconomy and Fourth Industrial Revolution technologies

open access: yesBiofuels, Bioproducts and Biorefining, EarlyView.
Abstract Energy scarcity remains a persistent challenge in sub‐Saharan Africa (SSA), where limited access to reliable, affordable, and clean energy constrains socioeconomic development. Biomass resources, including agricultural residues, forest waste, and waste from other biological sources, are widely available, but their use for modern energy ...
Joseph O. Dirisu   +2 more
wiley   +1 more source

Overcoming Shifting Baselines: Paleo-Behaviour Reveals Industrial Revolution as Tipping Point. [PDF]

open access: yesGlob Chang Biol
Lilkendey J   +11 more
europepmc   +1 more source

Is COVID-19 pushing us to the Fifth Industrial Revolution (Society 5.0)? [PDF]

open access: yesPak J Med Sci, 2021
Sarfraz Z   +3 more
europepmc   +1 more source

The evolution of markets and the revolution of industry: A unified theory of growth [PDF]

open access: yes
This paper puts forth a unified theory of growth that captures a number of relevant features of countries’ transitions from stagnant, predominantly rural economies to vibrant, industrialized economies that have been overlooked by the literature.
Klaus Desmet, Stephen L. Parente
core  

Reconceptualising ‘agency in mobility’: Agency for becoming and other forms of agency in study abroad

open access: yesBritish Educational Research Journal, EarlyView.
Abstract Study‐abroad programs are increasingly adopted and supported by institutions and governments as a strategic tool for deepening internationalisation and public diplomacy through people‐to‐people, institution‐to‐institution and country‐to‐country connections.
Ly Thi Tran, Thinh Huynh
wiley   +1 more source

Electroconvulsive therapy in the Fourth Industrial Revolution (Review). [PDF]

open access: yesBiomed Rep
Stojanović Z   +4 more
europepmc   +1 more source

Machine Learning Models of Phase Contrast Images Predict Efficiency of Human Pluripotent Stem Cell Differentiation to Cardiomyocytes

open access: yesBiotechnology and Bioengineering, EarlyView.
Human pluripotent stem cells were differentiated to cTnT+ cardiomyocytes and imaged throughout the process using phase contrast. We predicted differentiation efficiency (cTnT+ area) from phase contrast and compared model performance with a live‐cell cTnT‐GFP reporter.
Austin K. Feeney   +6 more
wiley   +1 more source

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