Results 71 to 80 of about 113,247 (266)

Comparison of Different Models for Determining Time up to 50% Maximum Germination: A Case Study of Cottonseeds (Gossypium hirsutum)

پژوهش‌های بذر ایران, 2019
DOR: 98.1000/2383-1251.1397.5. 1.10.2.1605.41 Extended abstract Introduction: Germination speed is one of the most important germination indices, used in most studies to compare the effects of different treatments on seed germination.
Farnaz Porali, Farshid Ghaderi-Far, Elias Soltani, Mohammad Hadi Palevani   +3 more
doaj  

COMPARISON OF BINARY PROBIT REGRESSION AND FOURIER SERIES NONPARAMETRIC LOGISTIC REGRESSION IN MODELING DIABETES STATUS AT HAJJ GENERAL HOSPITAL SURABAYA

Barekeng
Diabetes mellitus is a chronic disease with a rising global prevalence, including in Indonesia. Early detection and accurate modeling are crucial for effective prevention and management.
Bambang Widjanarko Otok, Muhammad Zulfadhli, Riwi Dyah Pangesti, Muhammad Idham Kurniawan, Albertus Eka Putra Haryanto, Darwis Darwis, Iwan Kurniawan   +6 more
doaj   +1 more source

Precision Obtained Using an Artificial Neural Network for Predicting the Material Removal Rate in Ultrasonic Machining

Applied Sciences, 2017
The present study proposes a back propagation artificial neural network (BPANN) to provide improved precision for predicting the material removal rate (MRR) in ultrasonic machining.
Gaoyan Zhong, Min Kang, Shoufeng Yang
doaj   +1 more source

One‐Step Curcumin‐Mediated Multiphoton Lithography for Bioactive 3D Scaffolds

Advanced Functional Materials, EarlyView.
Curcumin‐mediated multiphoton lithography enables one‐step fabrication of highly architected complex gelatin methacryloyl scaffolds by exploiting curcumin as a multifunctional bioactive photoinitiator. The resulting 3D structures support mesenchymal stem cell adhesion, proliferation, and migration, while exhibiting dual antibacterial activity through ...
Myrto Charitaki, Michalis Stavrou, Chrysanthi Pinelopi Apostolidou, Elmina Kabouraki, David Gray, Anna Mitraki, Anthi Ranella, Maria Farsari   +7 more
wiley   +1 more source

Reconfigurable Au Nanoparticle Monolayers on Regenerated Cellulose Hydrogels: Highly Sensitive SERS Detection of Polystyrene Micro/Nanoplastics With Interpretable Deep Learning

Advanced Functional Materials, EarlyView.
A regenerated cellulose (RC) hydrogel‐based SERS substrate integrating a Marangoni‐transferred gold nanoparticle self‐assembled monolayer (Au‐SAM) is fabricated. Reswelling‐induced hotspot formation enhances polystyrene micro/nanoplastics (PS MNPs) detection in complex matrices, providing reproducible, high‐throughput SERS signals across diverse ...
Youngho Jeon, Yu‐Jin Jeon, Suji Lee, Jeseong Kim, Dae‐Hyun Jung, Jungmok You   +5 more
wiley   +1 more source

Mental health of intellectually gifted individuals: Investigating the nonlinearity of the relationship between intelligence and general mental health

Health Psychology Report
Background Despite intelligence being generally related to better mental health, individuals with extremely high levels of intelligence (also often referred to as gifted) are frequently viewed to be socially maladjusted, emotionally unstable, and ...
Stanisław K. Czerwiński, Paweł A. Atroszko, Roman Konarski   +2 more
doaj   +1 more source

Wearable Kirigami‐Apertured Capacitive Sensors for Continuous Cardiac Volumetric Monitoring

Advanced Functional Materials, EarlyView.
A wearable kirigami‐apertured carbon nanotube‐paper composite (K‐CPC) capacitive sensor enables cardiac volumetric monitoring. The kirigami process creates a central aperture with cantilevered fibers that confine the electric field, enhancing both sensitivity and lateral resolution.
Yu‐Jen Cheng, Shawn Kim, Jonathan Avery, Younghoon Kwon, Jae‐Hyun Chung   +4 more
wiley   +1 more source

M-procedures in the general multivariate nonlinear regression model

, 2010
1
Leiva, Victor, Sanhueza, Antonio, Sen, Pranab K., Araneda, Nelson   +3 more
openaire   +6 more sources

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source

Vascularization of Human iPSC‐Derived Kidney Organoids Using Perfusion Culture, Pre‐Vascularized Collagen Scaffolds, and Decellularized Extracellular Matrix

Advanced Healthcare Materials, EarlyView.
An integrated perfusion‐based culture platform combining pre‐vascularized collagen scaffolds, stromal vascular fraction cells, and kidney decellularized extracellular matrix promotes vascularization of human iPSC‐derived kidney organoids. The platform provides evidence of interactions between vascular networks and glomerular‐like structures and enables
Helen Kearney, Andrea Mazzoleni, Ivan Martin, Lorenzo Moroni, Manuele Giuseppe Muraro, Carlos Mota   +5 more
wiley   +1 more source