Results 121 to 130 of about 26,738 (304)

Synthesis of Carboxylic Cellulose Nanocrystals From Yellow Thatching Grass (Hyparrhenia filipendula) via Citric Acid Hydrolysis

Energy Science &Engineering, EarlyView.
Fractionation of yellow thatching grass using sodium hydroxide and deep eutectic solvent Carboxylated Cellulose nanocrystals (CNCs) were successfully synthesized via hydrolysis with 80 wt% citric acid at 120°C for 4 h Variations in CNC characteristics were observed based on the fractionation method used ABSTRACT Grass is an abundant and renewable ...
Fildah Ayaa, Michael Lubwama, Samuel Ayodele Iwarere, Michael Olawale Daramola, John Baptist Kirabira   +4 more
wiley   +1 more source

Synthesis of diamonds [PDF]

, 1970
Shock wave transmitted through a solid exponential horn generates heat and pressure to convert part of a charge of graphite to diamonds.
Estes, M. F., Rasquin, J. R.
core   +1 more source

Time‐Domain Geoelectrical Modeling and Experimental Validation of Ground Potential Rise in Multilayer Soil Structures during Fault Events

Energy Science &Engineering, EarlyView.
This study develops a time‐domain geoelectrical model of ground potential rise (GPR) in multilayer soil that couples electromagnetic field theory with nonlinear fault arc resistance. Finite‐element simulations calibrated against scaled fault‐injection experiments reproduce measured GPR and step/touch voltages within 4.7% error, revealing that steady ...
Wulfran Fendzi Mbasso, Ambe Harrison, Idriss Dagal, Mohamed Metwally Mahmoud, Kenfack Saatong Tsobze, Pradeep Jangir, Muhammad Suhail Shaikh, Aseel Smerat   +7 more
wiley   +1 more source

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

Energy Science &Engineering, EarlyView.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan, Suresh Panchanathan, Chan Choon Kit, Elumalai Perumal Venkatesan, Nasim Hasan   +4 more
wiley   +1 more source

Simulasi Perbaikan Faktor Daya pada Gedung Rumah Sakit Islam Gigi dan Mulut Sultan Agung Semarang dengan Menggunakan ETAP

Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls
Permasalahan pada sistem kelistrikan gedung RSIGM adalah nilai faktor daya yang kecil pada Sub Distribution Panel (SDP) Penerangan, disebabkan oleh ballast lampu LED. Dampaknya adalah pemborosan energi dan meningkatnya tagihan listrik.
Dedik Suwanto, Muhamad Haddin, Dedi Nugroho   +2 more
doaj   +1 more source

Electronic circuitry for a high intensity flashlamp [PDF]

Flash lamp with ballistic piston compressor for absorption spectroscopy measurements in ultraviolet ...
Cleaver, H. E.
core   +1 more source

A Full AC Time‐Series Analysis of Photovoltaic Hosting Capacity in Niger's Grid

Energy Science &Engineering, EarlyView.
Methodological framework for PV hosting capacity assessment. ABSTRACT The integration of solar photovoltaic (PV) systems into sub‐Saharan African distribution grids presents a transformative opportunity to enhance energy access and sustainability. However, accurately quantifying the hosting capacity (HC), the maximum PV power that can be accommodated ...
Hamza Abarchi Halarou, Yacouba Moumouni, Bonkaney Abdou Latif, Abdoulaye Moussa Falmata, Amadou Oumarou Fati, Madougou Saidou   +5 more
wiley   +1 more source

UK Forecasts of Annual GDP: Their Accuracy and the Information Categories Underlying Their Revisions

Journal of Forecasting, EarlyView.
ABSTRACT Policy makers are concerned with the accuracy of GDP forecasts and want to understand the reasons for the revision of forecasts. We study these issues by examining forecasts of annual UK GDP growth by a panel of agents, published monthly by HM Treasury. We focus on two main issues: the developing accuracy of the group‐mean forecast as horizons
Nigel Meade, Ciaran Driver
wiley   +1 more source

A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios

Journal of Forecasting, EarlyView.
ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley   +1 more source

Between Consistency and Adaptation: How Middle Managers Shape Compensation System Implementation

Human Resource Management, EarlyView.
ABSTRACT The success of a human resource management (HRM) system or subsystem, such as a compensation system, hinges on its implementation—yet the microfoundations of this process remain underexplored. To address this gap, we conducted two studies. Study 1 surveyed middle managers and employees in six organizations to examine their attributions of ...
Aino Tenhiälä, Sven Kepes, Saku Mantere, Johanna Maaniemi   +3 more
wiley   +1 more source