Results 81 to 90 of about 223,465 (247)

A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys

Advanced Engineering Materials, EarlyView.
High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin, Marta Campolucci, Nicolas de Andrade Ishiki, Nathan Mirgot, Nadir Zhamantay, Frédéric Kanoufi, Jennifer Peron, Jean Charlety, Emiliano Fonda, Valérie Briois, Marco Faustini, Maria‐Letizia De Marco, Christine Goyhenex, Ovidiu Ersen, Hervé Bulou   +14 more
wiley   +1 more source

A Holistic Platform Approach for Developing Robust Pulmonary mRNA Delivery: Integrating Novel Phenolic Acid‐Derived Ionizable Lipids and Device Engineering

Advanced Functional Materials, EarlyView.
An integrated pulmonary mRNA delivery platform combining novel biodegradable syringic acid‐derived ionizable lipids, design‐of‐experiments formulation optimization, and vibrating‐mesh nebulizer engineering enabled stable aerosolization and efficient lung delivery.
Neha Kaushal, Younan Ma, Asad Khanmohammed, Dipen Parande, Hanming Zhang, Saket Dolare, Juliet Chen, Apiwat Wangweerawong, Saswata Karmakar, Hongfeng Deng, Frank Koppenhagen, Shraddha Sharma, Eric Reyes, Sherry He, Lianne Boeglin, Caroline Woo, Azadeh Paksa, Ayed Allawzi, Anusha Dias, Gregory Troiano, Shrirang Karve, Frank DeRosa   +21 more
wiley   +1 more source

Frailty model and dependence structure for bivariate survival data

Croatian Review of Economic, Business and Social Statistics
Copulas and their uses in statistics, namely biostatistics, are a relatively new field of research. When modeling the dependence structure between a vector random variable's joint distribution and marginal distributions, copulas are crucial.
Nesrine Idiou, Fatah Benatia, Mounir Mesbah   +2 more
doaj   +1 more source

Two statistical problems for multivariate mixture distributions

Computational Statistics
41 pages, 12 ...
Ricardo Fraiman, Leonardo Moreno, Thomas Ransford   +2 more
openaire   +2 more sources

On the distribution of a statistic in multivariate inverse regression analysis

Hiroshima Mathematical Journal, 1984
Let \(y=(y_ 1,...,y_ p)'\) be random, \(x=(x_ 1,...,x_ q)'\) be fixed vectors and \(y=a+B'x+e=\theta '[1,x]'+e\) where \(\theta '=[a\), B'] is the \(p\times (1+q)\) matrix of unknown parameters and e is an error vector having a multivariate normal distribution \(N_ p(0,\Sigma)\).
Fujikoshi, Yasunori, Nishii, Ryuei
openaire   +2 more sources

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source

Charge Storage and Dark Photocatalysis in Multivariate Ti‐Based Metal‐Organic Frameworks

Advanced Materials, EarlyView.
The mixed‐linker series of the titanium‐based metal–organic framework COK‐47 enables systematic tuning of photoresponsiveness and (dark) photocatalytic activity, deepening our understanding of structure‐property‐function relationships. Tailored metal‐to‐ligand charge transfer between the secondary building units (metal‐oxo layers and organic linkers ...
Julia E. Knapp, Bibhuti Bhusan Rath, Borja Ortín‐Rubio, Lukas Bauder, Kristina Gjorgjevikj, Saunak Das, Mariia Ferree, Frédéric Laquai, Lorenzo Tesi, Bettina Baumgartner, Simon Krause, Bettina V. Lotsch   +11 more
wiley   +1 more source

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

Advanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju, Adithya Umanath Rai, Jose Thomson, Marzie Ghorbani, Shujing Zhao, Nick Birbilis   +5 more
wiley   +1 more source

Asymptotic distributions of a test statistic in multivariate linear relationships

Journal of the Japan Statistical Society, Japanese Issue, 1992
Summary: For testing problems of the coefficient vectors of \(p\)-variate linear functionals and structured relationships, a statistic which is based on the multiple correlation coefficient between the null variate and the uncorrelated \((p-1)\) variates is considered.
openaire   +2 more sources

UDP‐Glucose‐6‐Dehydrogenase Mediated O‐GlcNAcylation of Tight Junction Protein 1 Suppresses Metastasis in Renal Cell Carcinoma

Advanced Science, EarlyView.
Our research unveiled a regulatory paradigm wherein TRIM25 orchestrates the ubiquitin‐mediated degradation of UGDH. UGDH modulates the protein stability of TJP1 by regulating O‐GlcNAcylation levels, effectively impeding the metastasis of ccRCC. Our insights elevate UGDH to a pivotal biomarker and tumor suppressor, marking the first demonstration that ...
Xiaolin Chen, Yuhang Bao, Tao Liu, Jianhui Qiu, Yuanyuan Ma, Zedan Zhang, Chuandong Wang, Ruiyi Deng, Zheng Song, Tianyi He, Haode Liu, Jingcheng Zhou, Yizhou Wang, Kan Gong   +13 more
wiley   +1 more source