Results 141 to 150 of about 12,439,103 (299)
ABSTRACT The design of a hexapod is complex and requires integration between kinematic models, control systems, and sensing. Existing literature has reviewed these sub‐systems in isolation. Since 2021, there has been no review of the field despite significant advancements in soft soil, lunar traversal, and artificial intelligence.
Akhil Rampersad, Bashan Naidoo
wiley +1 more source
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen +8 more
wiley +1 more source
Human Sustainability Leadership and Employee Wellbeing (Flourishing) in Organizations
ABSTRACT This qualitative case study research examines how designing for human sustainability leadership (HSL) affects employee wellbeing (flourishing) (HWBF) in organizations. It is undertaken at a university in the United Kingdom including academics and administrators.
Elli Meleti
wiley +1 more source
ABSTRACT Sustainable Development Goal 16 (SDG 16) emphasizes peace, justice, and strong institutions as essential foundations for sustainable development. This study adopts a desktop‐based qualitative research approach to examine how institutional quality and governance systems influence progress toward SDG 16 and broader development outcomes.
Maryem Souiai +8 more
wiley +1 more source
On Generalizations of the Newton-Raphson-Simpson Method
We present generalizations of the Newton-Raphson-Simpson method. Specifically, for a positive integer $m$ and the sequence of coefficients of a Taylor series of a function $f(z)$, we define an algorithm we denote by NRS($m$) which is a way to evaluate, in our terminology, a sum of $m$ formal zeros of $f(z)$.
openaire +2 more sources
A semismooth newton method for generalized semi-infinite programming problems
Semi-infinite programming problems is a class of optimization problems in finite dimensional variables which are subject to infinitely many inequality constraints. If the infinite index of inequality constraints depends on the decision variable, then the
AYSUN TEZEL ÖZTURAN
core
From Inner Capacities to Global Outcomes: Social–Emotional Capital as a Driver of SDG Performance
ABSTRACT Despite unprecedented global commitment to the 2030 Agenda, progress toward the sustainable development goals (SDGs) continues to lag in ways that structural, institutional, and resource‐based explanations do not fully explain. This study argues that a critical missing dimension is human: the psychological and relational capacities that enable
Mohamed Nassar +3 more
wiley +1 more source
ABSTRACT Climate mitigation policies in the Brazilian Legal Amazon have largely focused on aggregate or net emissions, providing limited evidence on how gross agricultural emissions reveal the intensity of productive emission sources independently of carbon removals.
Jorge Eduardo Macedo Simões +4 more
wiley +1 more source
ABSTRACT In 2023, The Guardian reported on several scientific studies denouncing the role of certain forest carbon credits in mitigating climate change. Subsequently, credit prices on the voluntary carbon market (VCM) plummeted—providing a quantitative indication of its impact.
Benjamin S. Thompson +3 more
wiley +1 more source
Convergence analysis of a regularized Newton method with generalized regularization terms for convex optimization problems [PDF]
This paper presents a regularized Newton method (RNM) with generalized regularization terms for unconstrained convex optimization problems. The generalized regularization includes quadratic, cubic, and elastic net regularizations as special cases ...
Yamashita, Nobuo, Yamakawa, Yuya
core +1 more source

