Results 121 to 130 of about 443,532 (307)

Functional Materials for Environmental Energy Harvesting in Smart Agriculture via Triboelectric Nanogenerators

open access: yesAdvanced Functional Materials, EarlyView.
This review explores functional and responsive materials for triboelectric nanogenerators (TENGs) in sustainable smart agriculture. It examines how particulate contamination and dirt affect charge transfer and efficiency. Environmental challenges and strategies to enhance durability and responsiveness are outlined, including active functional layers ...
Rafael R. A. Silva   +9 more
wiley   +1 more source

Robust Reform: Implementing robust institutional arrangements to achieve efficient water use in Australia [PDF]

open access: yes
The focus of this report is on implementing institutional arrangements for the efficient allocation and management of water. Water is an input into human use including economic production and recreation activities that generate many externalities.
Jim McColl, Mike Young
core  

MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance

open access: yesAdvanced Functional Materials, EarlyView.
Metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) hold promise for advanced electronics. However, discrepancies in reported electrical conductivities highlight the importance of measurement methodologies. This review explores intrinsic charge transport mechanisms and extrinsic factors influencing performance, and critically ...
Jonas F. Pöhls, R. Thomas Weitz
wiley   +1 more source

GLOBAL TRENDS IN ENTREPRENEURSHIP USING 4 R’S MODEL [PDF]

open access: yesAnnals of the University of Oradea: Economic Science, 2013
:. The study is based on 250 persons engaging in the manufacturing trading and services sectors in Small and Medium Industries. A discussion on survey about the business profile and leader entrepreneur is also providing. The study investigates the common
GRATIELA DANA BOCA, LINDITA MUKAJ, ,
doaj  

Device Integration Technology for Practical Flexible Electronics Systems

open access: yesAdvanced Functional Materials, EarlyView.
Flexible device integration technologies are essential for realizing practical flexible electronic systems. In this review paper, wiring and bonding techniques critical for the industrial‐scale manufacturing of wearable devices are emphasized based on flexible electronics.
Masahito Takakuwa   +5 more
wiley   +1 more source

LAND REFORM IN UKRAINE: CONSEQUENCES OF BURDEN AND PRIORITY OF DECISION

open access: yesСтратегічна панорама, 2018
The article presents an analysis of land reform in Ukraine, which is aimed at creating land relations of the market type. It is stated, that the process of land reform is carried out for more than 20 years.
O. Vlasiuk
doaj  

Systèmes maraîchers en milieux urbain et périurbain des zones Soudano-sahélienne et Soudano-guinéenne du Cameroun: cas de Garoua et Ngaoundéré [PDF]

open access: yesTropicultura, 2009
Horticultural Production Systems in the Soudano-sahelian and Soudano-guinean Agro Ecological Zones of Cameroon: Cases of Garoua and Ngaoundéré.
Nchoutnji, I.   +4 more
doaj  

Engineered Interface and Spatial Arrangement of Inorganic Components for Dendrite‐Free Li Anodes in Carbonate‐Based Electrolyte

open access: yesAdvanced Functional Materials, EarlyView.
A solid‐state ion exchange strategy constructs dentrimental Li2CO3 into a high‐modulus, high‐surface‐energy interface to enable dendrite‐free deposition of Li metal anode in the harsh carbonate‐based electrolyte. Abstract The practical application of lithium metal batteries (LMBs) in carbonate‐based electrolytes is hindered by uncontrolled lithium (Li)
Qiannan Zhao   +5 more
wiley   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

open access: yesAdvanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore   +7 more
wiley   +1 more source

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