Results 121 to 130 of about 197,316 (278)

Writing the Signs: An Explainable Machine Learning Approach for Alzheimer's Disease Classification from Handwriting

Healthcare Technology Letters
Alzheimer's disease is a global health challenge, emphasizing the need for early detection to enable timely intervention and improve outcomes. This study analyzes handwriting data from individuals with and without Alzheimer's to identify predictive ...
Ngoc Truc Ngan Ho, Paulina Gonzalez, Gideon K. Gogovi   +2 more
doaj   +1 more source

Silver Ion‐Mediated [hk1]‐Oriented Sb2Se3 Crystal Growth for Efficient Photoelectrochemical Hydrogen Evolution

Advanced Functional Materials, EarlyView.
Ag+‐mediated hydrothermal crystal engineering promotes preferential [hk1]‐oriented growth of Sb2Se3 via an ultrathin MoOx interlayer, improving crystallinity and suppressing non‐radiative recombination. The optimized Ag+ treatment photocathode delivers 24.7 mA cm−2 at 0 VRHE and improved stability, revealing an ion‐modulated route to high‐performance ...
Ziying Zhang, Zhenbin Wang, Mirjana Dimitrievska, Miloš Baljozović, Yongping Gan, Pardis Adams, Sanghyun Bae, Thomas Moehl, Wenzhe Niu, Xiang jiu Guan, S. David Tilley   +10 more
wiley   +1 more source

Dual‐Atom Dopants Activated Ruthenium Single‐Atom Alloy Boosting Hydrogen Evolution Electrocatalysis in Proton Exchange Membrane Water Electrolyzer

Advanced Functional Materials, EarlyView.
Ni1‐Bi1 dual‐atom dopants are achieved for activating Ru lattices without blocking noble atoms. This model exhibits an ultralow overpotential of 11.4 mV and superb stability at 10 mA cm−2 toward hydrogen evolution reaction, enabling a proton exchange membrane water electrolyzer that needs only 2.233 V to reach 3.0 A cm−2 and operates stably at 1.0 A cm−
Shuiping Luo, Zhichao Yang, Xinyi Cai, Peiling Hu, Lei Xie, Junhao Qiu, Wen Chen, Tianou He, Yong Li, Tangting Li, Yuehan Li, Hong Zhu, Fenghao Jiang, Ke Liu, Jinliang Zhu, Shao‐Qing Liu, Xian‐Zhu Fu, Jing‐Li Luo   +17 more
wiley   +1 more source

A Generalized Linear Model and Machine Learning Approach for Predicting the Frequency and Severity of Cargo Insurance in Thailand’s Border Trade Context

Risks
The study compares model approaches in predictive modeling for claim frequency and severity within the cross-border cargo insurance domain. The aim is to identify the optimal model approach between generalized linear models (GLMs) and advanced machine ...
Praiya Panjee, Sataporn Amornsawadwatana
doaj   +1 more source

Heteroatom‐Engineering Promoted Co9S8 Bi‐functional Electrocatalyst for Hydrazine‐Assisted Hydrogen Production at Industrial Current Density

Advanced Functional Materials, EarlyView.
Fe and P co‐doped Co9S8 nanocorals (Fe, P‐Co9S8) are successfully synthesized by a heteroatom engineering strategy, which exhibit outstanding bifunctional electrocatalytic performance for both the hydrogen evolution reaction (HER) and hydrazine oxidation reaction (HzOR).
Yuying Meng, Chunyan Xiang, Wenbiao Zhang, Dahai Zeng, Bing Du, Bao Zhong, Yue Jiang, Damien Voiry, Qingsheng Gao   +8 more
wiley   +1 more source

Neural-NGBoost: Natural gradient boosting with neural network base learners

ICT Express
NGBoost has shown promising results in probabilistic and point estimation tasks. However, it is vague still whether this method can be scalable to neural architecture system since its base learner is based on decision trees.
Jamshidjon Ganiev, Deok-Woong Kim, Seung-Hwan Bae   +2 more
doaj   +1 more source

An Ultrafast Self‐Gelling Versatile Hydrogel for Rapid Infected Burn Wound Repair in Military Medicine

Advanced Functional Materials, EarlyView.
A self‐gelling PG@PAC (POD/Gel‐CDH@PA/CHX) powder is developed for infected burn care in austere settings. Upon contact with wound exudate, it instantly forms an adhesive hydrogel, providing simultaneous hemostasis, broad‐spectrum antibacterial activity, reactive oxygen species scavenging, and immunomodulation. In a murine model of S.
Liping Zhang, Zhangrui Wu, Xiansheng Zhao, Geng Wang, Quyang Yang, Minxia zhang, Xiaowei Wang, Xiujun Cheng, Changyue Wu, Dan Wu, Yutian Yang, Canbin Dong, Tao Zhang, Weiqiang Tan, Ningwen Zhu   +14 more
wiley   +1 more source

Novel Functional Materials via 3D Printing by Vat Photopolymerization

Advanced Functional Materials, EarlyView.
This Perspective systematically analyzes strategies for incorporating functionalities into 3D‐printed materials via Vat Photopolymerization (VP). It explores the spectrum of achievable functionalities in recently reported novel materials—such as conductive, energy‐storing, biodegradable, stimuli‐responsive, self‐healing, shape‐memory, biomaterials, and
Sergey S. Nechausov, Patrick Fesser, Boris A. Bulgakov, Ulrich S. Schubert   +3 more
wiley   +1 more source

Perbandingan Performa Algoritma Random Forest dan Gradient Boosting dalam Mengklasifikasi Churn Telco

Techno.Com
Customer churn adalah kecenderungan pelanggan berhenti dan berpindah layanan dalam periode tertentu. Ini merupakan masalah utama dalam industri telekomunikasi karena mempengaruhi keuntungan perusahaan.
Muhammad Adji Purnama, Jilang Ramadhani, Yoga Safitra Anugraha, Lusiana Efrizoni, Rahmaddeni Rahmaddeni   +4 more
doaj   +1 more source

Nucleation‐Controlled Reconstruction of CuOx for Selective CO2 Electroreduction

Advanced Functional Materials, EarlyView.
The ratio of oxygen vacancies (Ov) and exposed Cu2O (111)/(200) of CuOx precatalyst is modulated by nucleation control of Cu(OH)2 precursor. Low Ov ratio and high ratio of Cu2O (111)/(200) in slow‐nucleated CuOx reconstructs to high‐coordinated oxide‐derived copper (OD‐Cu) during electrochemical CO2 reduction reaction (CO2RR) and exhibits enhanced ...
Ying Ying Ch'ng, Zhipeng Ma, Ming Zhang, Shujie Zhou, Varun Kundi, Priyank Vijaya Kumar, Wenyu Zhong, Yuwei Yang, Jitraporn Vongsvivut, Qinfen Gu, Xiaoxuan Luo, Lixue Jiang, Rahman Daiyan, Zhaojun Han, Rose Amal   +14 more
wiley   +1 more source