Results 161 to 170 of about 83,179 (266)

The Rlign algorithm for enhanced electrocardiogram analysis through heart rate-corrected ECG alignment for explainable classification and clustering. [PDF]

Eur Heart J Digit Health
Plagwitz L, Bickmann L, Fujarski M, Brenner A, Gobalakrishnan W, Eckardt L, Büscher A, Varghese J.   +7 more
europepmc   +1 more source

A Decision‐Making Model for Implementing Green Technology in Sustainable Building Projects

Business Strategy and the Environment, EarlyView.
ABSTRACT Green technology (GT) adoption is pivotal for reconciling environmental stewardship with economic viability in the built environment, particularly in resource‐constrained emerging economies. However, empirical evidence on how specific GT drivers actively mitigate adoption barriers remains scarce.
Abdelazim Ibrahim, Ahmed Farouk Kineber, Ayodeji Emmanuel Oke, Mehrdad Arashpour, M. K. S. Al‐Mhdawi, Abe Abimbola Maxwell   +5 more
wiley   +1 more source

Intelligent Manufacturing, Industrial Agglomeration, and Green and Low‐Carbon Development: A Nonlinear Path Test Based on the Theory of Ecological Modernization

Business Strategy and the Environment, EarlyView.
ABSTRACT Drawing upon ecological modernization theory as the analytical framework, this study employs macro‐level longitudinal tracking data covering China's major regions as research samples. It measures the green and low‐carbon development (GLCD) of manufacturing from the four dimensions—“carbon reduction, pollution mitigation, ecological expansion ...
Deng Wang, Xin Hua, Chante Jian Ding, Abdullahi D. Ahmed, Yue Liu   +4 more
wiley   +1 more source

Automated ROI detection allows rapid quantification of synaptic activity across tens of thousands of synapses in cell culture. [PDF]

Front Synaptic Neurosci
Begley JC, Prüss H, Turko P, Dean C.
europepmc   +1 more source

From Capabilities to Competitive Greening: Managerial Commitment and Green Shared Vision as Serial Mediators in Energy‐Sector SMEs

Business Strategy and the Environment, EarlyView.
ABSTRACT Drawing on dynamic capabilities view and upper echelons theory, this study shows how energy‐sector SMEs convert dynamic capabilities into green competitive advantage. We theorize that sensing–seizing–reconfiguring routines are associated with green competitive advantage only when top managers visibly prioritize environmental goals and foster a
Anna Chwiłkowska‐Kubala, Szymon Cyfert, Kamila Malewska, Michał Chomicki, Maciej Mitręga   +4 more
wiley   +1 more source

Digital Orientation and Green Practices in Chilean SMEs: Innovation as the Pathway to Competitive Performance

Business Strategy and the Environment, EarlyView.
ABSTRACT This study examines how digital strategic orientation (DSO) and environmental practices (EP) interact to shape innovation and performance among Chilean SMEs. Using survey data from 271 firms (February–May 2022), we estimate a generalized structured component analysis (GSCA) model that accommodates a nonrecursive relationship between DSO and EP.
Constanza Caicha‐Caroca, Antonia Madrid‐Guijarro, Claudia Andrea Pezoa‐Fuentes   +2 more
wiley   +1 more source

Addressing Class Imbalance in Fetal Health Classification: Rigorous Benchmarking of Multi-Class Resampling Methods on Cardiotocography Data. [PDF]

Diagnostics (Basel)
Hawrami ZSM, Cengiz MA, Dünder E.
europepmc   +1 more source

Organizational Policies and Environmental Innovation: The Mediating Role of Environmental Partnerships

Business Strategy and the Environment, EarlyView.
ABSTRACT Although cross‐sector collaborations drive innovation, organizational policies as legitimation signals attracting such collaborations remain unexplored. This study examines the mediating role of environmental partnerships between organizational policies and environmental innovation.
Jose Nicolas Pacheco, Jasna Poček, Andreu Turro, David Urbano   +3 more
wiley   +1 more source

Root canal segmentation from cone-beam computed tomography guided by micro-computed tomography based on deep learning. [PDF]

BMC Oral Health
Gao X, Ma J, Li B, Fang Y, Hu L, Zhou M, Fan B.   +6 more
europepmc   +1 more source

Machine learning‐assisted clone selection for intensified cell culture processes

Biotechnology Progress, EarlyView.
Abstract Intensified fed‐batch processes are becoming increasingly prevalent among biomanufacturers due to their superior space–time yields relative to traditional, non‐intensified fed‐batch processes. However, the shift towards intensified manufacturing has unexpectedly made optimal clone selection more challenging.
Nicolas Wolnick, John Schmitt, Christian Siltanen, Julia Armstrong, Shannon Hendrick, Ariel Atchley, Brandon Downey   +6 more
wiley   +1 more source