Results 51 to 60 of about 57,021 (261)

RİCARDO'NUN KARŞILAŞTIRMALI ÜSTÜNLÜKLER TEORİSİ: TÜRKİYE, KOLOMBİYA VE GÜNEY KORE ÜÇLÜSÜNÜN SEKTÖREL BAZDA UYGULAMALI BİR ANALİZİ - RICARDO'S COMPARATIVE ADVANTAGES THEORY: AN APPLIED ANALYSIS ON THE SECTORAL BASIS IN THE TRIPARTITE OF TURKEY, COLOMBIA AND SOUTH KOREA

open access: yesMehmet Akif Ersoy Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 2018
Bu çalışmanın amacı, Kore, Türkiye ve Kolombiya'dan oluşan 3ülkenin tarım, sanayi ve hizmet sektörlerini basitleştirilmiş 3*3 modeliyleanaliz ederek, Ricardo'nın Karşılaştırmalı Üstünlükler Modeli'nin gerçekhayatta nasıl çalıştığını göstermektir.
Hüseyin Topuz, Artuğ Coşkun
doaj   +1 more source

Dual‐Mode Gripper With Suction and Shape‐Adaptive Freezing Grasps

open access: yesAdvanced Robotics Research, EarlyView.
This study presents a dual‐mode robotic gripper that combines vacuum suction with a shape‐adaptive freezing grasp. The freezing mode uses a compliant rubber membrane, a sprayed water layer, and dry‐ice powder to generate ice‐mediated adhesion while conforming to complex geometries.
Takuma Yanagisawa   +4 more
wiley   +1 more source

Enhancing Amphibious Flipper‐Based Locomotion Through Terrain‐Dependent Bayesian Optimization of Central Pattern Generator Control

open access: yesAdvanced Robotics Research, EarlyView.
A sea turtle‐inspired amphibious robot uses simulation‐guided optimization to adapt its flipper coordination to different environments. Sensitivity analysis and multiobjective Bayesian optimization identify terrain‐dependent controllers that are validated on hardware.
Nnamdi C. Chikere, Yasemin Ozkan‐Aydin
wiley   +1 more source

Tempo de trabalho e imaterialidade na teoria social de André Gorz

open access: yesCaderno CRH
O artigo trata das formulações de André Gorz sobre trabalho imaterial. Sua análise do capitalismo contemporâneo se baseia num modelo formado pelas categorias conhecimento, valor e capital, no qual conhecimento é a força produtiva principal.
Josué Pereira da Silva
doaj   +1 more source

Machine Learning for Green Solvents: Assessment, Selection and Substitution

open access: yesAdvanced Science, EarlyView.
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta   +4 more
wiley   +1 more source

Rab1A Promotes Hepatic Steatosis by Suppressing Mitophagy via the Raf‐1/ERK1/2/PINK1 Signaling Axis

open access: yesAdvanced Science, EarlyView.
Why does fat accumulate in the liver? Our study reveals Rab1A as the molecular switch that silences the cell's mitochondrial cleanup crew. Turning Rab1A off reactivates mitophagy, clears excess fat, and reverses fatty liver disease in mice—offering a promising new therapeutic target for MASLD, a growing global health challenge.
Li Zhang   +9 more
wiley   +1 more source

Integrating Ecology and Economics in Agent‐Based Models to Support Agricultural Policy

open access: yesAdvanced Science, EarlyView.
Agent‐based models are valuable tools for studying social‐ecological systems in agriculture. This review maps how existing agent‐based models represent the human and natural domains of agriculture, and discusses developments in economic and ecological agent‐based modeling.
Daniel Vedder   +5 more
wiley   +1 more source

Notes on Michio Morishima's Understanding of Marxian Economics

open access: yesWorld Review of Political Economy, 2019
Michio Morishima's recapitulation and study of Marxian economics by means of mathematical methods focus primarily on the typical themes such as the labor theory of value, the theory of exploitation, the transformation problem, the
Xian Zhang
doaj   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

open access: yesAdvanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu   +8 more
wiley   +1 more source

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

open access: yesAdvanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan   +8 more
wiley   +1 more source

Home - About - Disclaimer - Privacy