Results 101 to 110 of about 1,010,647 (259)

s‐Orbital Mediated Metavalent Bonding Enables State‐Of‐The‐Art n‐Type AgBiSe2 Thermoelectrics

Advanced Functional Materials, EarlyView.
Metavalent bonding (MVB) underpins the exceptional property portfolio of chalcogenides. Typical MVB solids are mainly found in p‐bonded systems. This work reveals that MVB can also be formed with s‐p orbital interactions upon forming a single‐electron σ‐bond, as exemplified in AgBiSe2.
Binrong Huang, Dasol Kim, Yuan Yu, Jinxuan Zhong, Jianbo Zhu, Yaoling Shen, Yu Guo, Moran Wang, Jiawei Huang, Tu Lyu, Nan Lin, Yongsheng Zhang, Matthias Wuttig, Lipeng Hu   +13 more
wiley   +1 more source

Evaluasi Algoritma Machine Learning untuk Klasifikasi dan Prediksi Penggunaan Lahan

Majalah Geografi Indonesia
Abstrak. Pemantauan, perencanaan, dan pengelolaan sumberdaya lahan membutuhkan data penggunaan lahan yang akurat. Banyak penelitian telah dilakukan mengenai klasifikasi dan prediksi penggunaan lahan. Namun, penelitian terkait penentuan metode klasifikasi
Fajar Nugraha, Dwi Putro Tejo Baskoro, Suria Darma Tarigan   +2 more
doaj   +1 more source

Beyond the Edge: Charge‐Transfer Excitons in Organic Donor‐Acceptor Cocrystals

Advanced Functional Materials, EarlyView.
Complex excitonic landscapes in acene–perfluoroacene cocrystals are unveiled by polarization‐resolved optical spectroscopy and many‐body theory. This systematic study of a prototypical model system for weakly interacting donor–acceptor compounds challenges common views of charge‐transfer excitons, providing a refined conceptual framework for ...
Sebastian Anhäuser, Ana M. Valencia, Sergei I. Ivlev, Marc Zeplichal, Andreas Terfort, Caterina Cocchi, Gregor Witte   +6 more
wiley   +1 more source

A MACHINE LEARNING FRAMEWORK FOR SUICIDAL THOUGHTS PREDICTION USING LOGISTIC REGRESSION AND SMOTE ALGORITHM

Barekeng
Suicide, a global health challenge identified in Goal 3 of the global agenda for enhancing worldwide well-being, demands urgent attention. This study focused on predicting suicidal thoughts using machine learning, leveraging the 2021 National Women's ...
Sarni Maniar Berliana, Omas Bulan Samosir, Rafidah Abd Karim, Victoria Pena Valenzuela, Krismanti Tri Wahyuni, Andi Alfian   +5 more
doaj   +1 more source

Clean Up Behind You ‐ Novel Patterning Approach for Solid Immersion Lenses

Advanced Functional Materials, EarlyView.
A focused ion beam (FIB) milling strategy enables rapid fabrication of solid immersion lenses (SILs) with smooth, debris‐free surfaces eliminating the need for post‐processing. The optimized pattern improves efficiency and surface quality. SILs containing NV centers are also investigated, confirming the technique's suitability for quantum and photonic ...
Aleksei Tsarapkin, Stefan Facsko, Wentao Zhang, Anna Mogilatenko, Kilian Unterguggenberger, Bailiang Li, Cem Güney Torun, Gerhard Hobler, Tommaso Pregnolato, Tim Schröder, Katja Höflich   +10 more
wiley   +1 more source

BACH, a Bayesian Optimization Protocol for Accurate Coarse‐Grained Parameterization of Organic Liquids

Advanced Functional Materials, EarlyView.
We present a fully automated Bayesian optimization (BO) protocol for the parameterization of nonbonded interactions in coarse‐grain CG force fields (BACH). Using experimental thermophysical data, we apply the protocol to a broad range of liquids, spanning linear, branched, and unsaturated hydrocarbons, esters, triglycerides, and water.
Janak Prabhu, Akhil Pratap Singh, Pablo Campomanes, Stefano Vanni   +3 more
wiley   +1 more source

Atomic Layer Deposition in Transistors and Monolithic 3D Integration

Advanced Functional Materials, EarlyView.
Transistors are fundamental building blocks of modern electronics. This review summarizes recent progress in atomic layer deposition (ALD) for the synthesis of two‐dimensional (2D) metal oxides and transition‐metal dichalcogenides (TMDCs), with particular emphasis on their enabling role in monolithic three‐dimensional (M3D) integration for next ...
Yue Liu, Taoyu Zou, Cheng‐Yan Xu, Liang Zhen, Yang Li, Yong‐Young Noh   +5 more
wiley   +1 more source

Concordance of Prenatal Ultrasonography and Magnetic Resonance Imaging in the Classification of Corpus Callosum Dysplasia

Clinical and Experimental Obstetrics & Gynecology
Background: Prenatal ultrasound has always been difficult to classify fetal corpus callosum abnormalities. This paper aims to evaluate the added value of fetal magnetic resonance imaging (MRI) to ultrasound in detecting fetal corpus ...
Hui Peng, Xi Chen, Xuejin Zou, Yan Song, Chunlan Cheng, Jianli Zhang   +5 more
doaj   +1 more source

Ascorbic Acid Modulates Collagen Properties in Glucocorticoid‐Induced Osteoporotic Bone: Insights into Chemical, Mechanical, and Biological Regulation

Advanced Healthcare Materials, EarlyView.
Osteoporosis from long‐term glucocorticoid (GIOP) use elevates susceptibility to fracture. This study shows GCs impair ascorbic acid (AA) metabolism in osteoblasts, collagen synthesis and extracellular matrix integrity. AA enhanced collagen biochemical and mechanical properties and restored osteoblast and endothelial function. These findings underscore
Micaila DE Curtis, Yoontae Kim, Rahul Patil, Xinran Zhang, Meth Jayatilake, Orelle Bulgin, Peter Lialios, Sana Surrency, Soraya Tarrah, Argyris K. Lazaris, Alison Grafton, James Williams IV, Seyedeh Boshra Nouraie, Maria Bizaki, Penelope Xeron, Edward Van Keuren, Jonathan E. Seppala, Evagelia C. Laiakis, Joanna B. Kitlinska, Stella Alimperti   +19 more
wiley   +1 more source

Development of therapeutic exercises manual for Oro-Pharyngeal Dysphagia, Phase II: Efficacy of therapeutic exercises manual for Oro-Pharyngeal Dysphagia

Journal Riphah College of Rehabilitation Sciences
Objective: To determine the effectiveness of ten therapeutic exercises on the patients of Oro-pharyngeal Dysphagia (OD) clinically diagnosed with one structural disorder (Head and neck cancer; HNC) and two neurological disorders (Traumatic Brain Injury ...
Shabina Rana, Nayab Iftikhar
doaj