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algorithm design » algorithm using (Expand Search), algorithmic decision (Expand Search)
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design function » design fiction (Expand Search), design education (Expand Search), cohesin function (Expand Search)
algorithm design » algorithm using (Expand Search), algorithmic decision (Expand Search)
algorithm python » algorithms within (Expand Search), algorithm both (Expand Search)
design function » design fiction (Expand Search), design education (Expand Search), cohesin function (Expand Search)
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Summary: Dipole-spread-function engineering for simultaneously measuring the 3D orientations and 3D positions of fluorescent molecules
Published 2025“…We demonstrate the pixOL algorithm to simultaneously optimize all pixels within a phase mask to produce an engineered Green’s tensor–the dipole extension of point-spread function engineering. …”
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DataSheet1_The evolution of flexibility and function in the Fc domains of IgM, IgY, and IgE.pdf
Published 2024“…This permits additional flexibility within the Fc region, which has been exploited by nature to modulate antibody effector functions. …”
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Can geodemographic clustering be fair? Incorporating social fairness in crisp and fuzzy approaches through a unified framework
Published 2024“…SFGC also introduces a gradient descent-based algorithm to optimize this new cost function. In addition, SFGC can be directly adapted to crisp clustering, facilitating practical implementation and comparison of clustering algorithms.…”
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1092
DA OPRESSÃO ALGORÍTMICA À ÉTICAEMERGENTE: O COLAPSO DAS WMDS EA FUNÇÃO Ƹ* COMO HORIZONTE DANORMATIVIDADE COMPUTÁVEL
Published 2025“…In response, weintroduce the third-order ethical function Ƹ*, a logical-computationalformalism designed to enable the emergence of normativity withinartificial systems. …”
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1093
Causal Relationship between Potential Shift and Molecular Structure in Concentrated Electrolytes
Published 2025“…Understanding the origin of potential shifts in concentrated electrolytes is crucial for the design of stable and high-energy-density lithium–metal batteries. …”
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1094
An HSR corridor with m stations and n trains.
Published 2025“…We propose a time-space-state three-dimensional network (TSSN) that integrates preferences for travel time, fares, and seat classes. Impedance functions for various network arcs are developed, incorporating these three key attributes of travel demand and transforming the passenger travel choice issue into a path selection problem within the TSSN. …”
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1095
Structure of bi-level programming model.
Published 2025“…We propose a time-space-state three-dimensional network (TSSN) that integrates preferences for travel time, fares, and seat classes. Impedance functions for various network arcs are developed, incorporating these three key attributes of travel demand and transforming the passenger travel choice issue into a path selection problem within the TSSN. …”
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Lanzhou-Xi’an HSR corridor.
Published 2025“…We propose a time-space-state three-dimensional network (TSSN) that integrates preferences for travel time, fares, and seat classes. Impedance functions for various network arcs are developed, incorporating these three key attributes of travel demand and transforming the passenger travel choice issue into a path selection problem within the TSSN. …”
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1097
Comparison of related studies with our work.
Published 2025“…We propose a time-space-state three-dimensional network (TSSN) that integrates preferences for travel time, fares, and seat classes. Impedance functions for various network arcs are developed, incorporating these three key attributes of travel demand and transforming the passenger travel choice issue into a path selection problem within the TSSN. …”
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1098
Unit impedance of each OD pair.
Published 2025“…We propose a time-space-state three-dimensional network (TSSN) that integrates preferences for travel time, fares, and seat classes. Impedance functions for various network arcs are developed, incorporating these three key attributes of travel demand and transforming the passenger travel choice issue into a path selection problem within the TSSN. …”
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1099
Subscripts and parameters used in TSSN.
Published 2025“…We propose a time-space-state three-dimensional network (TSSN) that integrates preferences for travel time, fares, and seat classes. Impedance functions for various network arcs are developed, incorporating these three key attributes of travel demand and transforming the passenger travel choice issue into a path selection problem within the TSSN. …”
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1100
Occupying rate of v-class seat in each train.
Published 2025“…We propose a time-space-state three-dimensional network (TSSN) that integrates preferences for travel time, fares, and seat classes. Impedance functions for various network arcs are developed, incorporating these three key attributes of travel demand and transforming the passenger travel choice issue into a path selection problem within the TSSN. …”