Results 61 to 70 of about 39,551 (316)

Forecasting the Future: Trends in Population Growth, Rice Consumption and Rice Demand in North Maluku

Agraris: Journal of Agribusiness and Rural Development Research
Food security is critical as consumption and population are growing rapidly. This study aims to predict population growth, rice consumption and rice demand in the province of North Maluku until 2028 used the ARIMA (2,2,0).
Ranita Rope, Ekaria
doaj   +1 more source

Approaches to simulation modeling of working processes of a rope logging machine for working on slopes

Научно-технический вестник Брянского государственного университета, 2022
Currently, due to a decrease in the volume of possible timber extraction in relatively convenient areas characterized by favorable natural relief, the development of logging technologies and appropriate logging equipment for work on steep slopes becomes ...
Lagerev I.A., Khimich A.V., Shkurmanova S.S.   +2 more
doaj   +1 more source

PRELIVE: A Framework for Predicting Lipid Nanoparticles In Vivo Efficacy and Reducing Reliance on Animal Testing

Advanced Functional Materials, EarlyView.
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy, Chuan‐En Lu, Kai Liu, Audrey Gallud   +3 more
wiley   +1 more source

High Entropy Wide‐Bandgap Borates with Broadband Luminescence and Large Nonlinear Optical properties

Advanced Functional Materials, EarlyView.
High‐entropy rare‐earth borates exhibit excellent nonlinear optical and broadband luminescence properties arising from multi‐component doping, chemical disorder, increased configurational entropy, and increased lattice and electronic anharmonicity. This formulation enabled us to obtain a large, environmentally stable single crystal with 3X higher laser‐
Saugata Sarker, Yu Wang, Yongwen Sun, Caeli Benyacko, Saeed S.I. Almishal, Tao Zhou, Zhiyu Zhang, Jadupati Nag, Himirkanti Sarkar, Jeffrey Shallenberger, Hemant Yennawar, Yang Yang, Jon‐Paul Maria, Zhiqiang Mao, Venkatraman Gopalan   +14 more
wiley   +1 more source

THE RELATIONSHIP BETWEEN STIFFNESS LOSSES AND LOSSES IN BEARINGS OF ROPE BLOCKS

Nauka ta progres transportu, 2017
Purpose. To determine the efficiency of rope blocks, it is necessary to determine the stiffness coefficient of the ropes of blocks, taking into account the classification group of the mechanism and the wrapping angle of a block by a rope.
V. M. Bohomaz, L. M. Bondarenko, M. V. Ocheretniuk, O. O. Tkachov   +3 more
doaj   +1 more source

Triblock Polymer Engineering Enables Hydration‐Rich, High‐Performance, Fouling‐Resistant Interfaces

Advanced Functional Materials, EarlyView.
A molecularly engineered triblock polymer (PHZ) rapidly reorganizes into a hydration‐rich interfacial layer on diverse surfaces, strongly suppressing hydrophobic attraction and fouling. The triblock polymer provides robust energy and steric barriers to oily foulants, enabling high‐performance antifouling at ultralow dosage.
Chenyu Qiao, Ziqian Zhao, Yueying Huang, Yongxiang Sun, Genglin Li, Xuguang Song, Hongbo Zeng   +6 more
wiley   +1 more source

Roadmap to Precision 3D Printing of Cellulose: Rheology‐Guided Formulation, Fidelity Assessment, and Application Horizons

Advanced Materials Technologies, EarlyView.
This critical review presents a comprehensive roadmap for the precision 3D printing of cellulose. Quantitative correlations link ink formulation and rheological properties to print fidelity and final material performance. This framework guides the development of advanced functional materials, from biomedical scaffolds to electromagnetic shielding ...
Majed Amini, Hadi Hosseini, Seyyed Alireza Hashemi, Mohammad Arjmand   +3 more
wiley   +1 more source

Characterization of Droplet Formation in Ultrasonic Spray Coating: Influence of Ink Formulation Using Phase Doppler Anemometry and Machine Learning

Advanced Materials Technologies, EarlyView.
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding, Danny E. P. Vanpoucke, Yunus T. Aksoy, Tobias Corthouts, Maria R. Vetrano, Wim Deferme   +5 more
wiley   +1 more source

Recent Advances in Variable‐Stiffness Robotic Systems Enabled by Phase‐Change Materials

Advanced Robotics Research, EarlyView.
Phase‐change materials (PCMs), such as shape memory alloys, hydrogels, shape memory polymers, liquid crystal elastomers, and low‐melting‐point alloys, are driving advancements in stiffness‐tunable robotic systems across a wide range of applications. This review highlights recent progress in PCM‐enabled robotics, focusing on their underlying mechanisms,
Sukrit Gaira, Liao Wu, Ming Li, Priyank Kumar, Xiaopeng Li, Shi‐Yang Tang   +5 more
wiley   +1 more source

Information Transmission Strategies for Self‐Organized Robotic Aggregation

Advanced Robotics Research, EarlyView.
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng, Zihan Li, Yifeng Shao, Jinhao Liu, Li Yu, Shuguang Li   +5 more
wiley   +1 more source