Results 81 to 90 of about 166,154 (263)

A NeuroD1 AAV‐Based Gene Therapy for Functional Brain Repair in Alzheimer's Disease‐Like Non‐Human Primate Model

Advanced Science, EarlyView.
This study tests NeuroD1 AAV‐based gene therapy in a non‐human primate Alzheimer's disease model. The therapy prevents neuronal damage, inhibits hippocampal atrophy, and reduces neuroinflammation. It also repairs vascular and blood‐brain barrier damage, restores cerebrospinal fluid biomarkers, enhances hippocampal glucose metabolism, and improves ...
Zhouquan Jiang, Yongpeng Qin, Bin Luo, Fan Bai, Jiangyue Liu, Long Ma, Shu He, Rongjie Chen, Yuchen Wang, Shanggong Liu, Ying Sun, Yi Chen, Shuo Zhang, Jiaqi Liang, Feng Liao, Huiyi Wei, Junjie Wei, Lu Wang, Hao Xu, Zheng Wu, Gong Chen, Wenliang Lei   +21 more
wiley   +1 more source

Analysis of Results of the All-Ukrainian Student Olympiad on the Discipline “Statistics”

Статистика України, 2015
The article analyzes the results of the All-Ukrainian Student Olympiad on the discipline “Statistics”, held at the National Academy of Statistics, Accounting and Audit in 2015.
V. O. Shevchuk, L. Ye. Momotyuk, V. V. Popova, H. V. Holubova   +3 more
doaj  

The Influence of Creative Accounting to the Formation of the Accounting Policy and Accounting’s Results

Buhalterinės Apskaitos Teorija ir Praktika, 2019
The accounting's policy choice and creating is influenced by accounting theory, impact factors, each company's objectives, and this makes company unique.
Diana Bachtijeva
doaj   +1 more source

CO Spillover Is Not a Promoter for C─C Bond Formation in CO2 Electroreduction on Cu‐Ag Bimetallic Catalysts

Advanced Science, EarlyView.
CO spillover via the Cu‐Ag interface does not promote C‐C coupling. ABSTRACT Cu‐based bimetallic catalysts have been shown to improve the multi‐carbon (C2+) selectivity in CO2 electroreduction, with the assumption that CO spillover from the CO‐selective catalysts to adjacent Cu domains via their bimetallic interface promotes C–C coupling. Here, through
Beining Xu, Zhaochun Liu, Xinjuan Du, Wen Yan, Yunsong Yu, Ionut Tranca, Frederik Tielens, Ming Ma   +7 more
wiley   +1 more source

MicrobeDiscover: A Knowledge Graph–Enabled AI Framework for Identifying Microbes for Inorganic Nanomaterial Biosynthesis

Advanced Science, EarlyView.
Microbial synthesis of nanomaterials (NMs) is eco‐friendly, but the screening of microorganisms is limited by inefficient traditional methods (currently only involving∽400 microorganisms/90 NMs). We propose AI framework MicrobeDiscover, integrating a knowledge graph of microbe‐NM interactions.
Ludi Wang, Hexing Han, Yufeng Liu, Zhiyuan Ning, Yujie Ma, Haidan Wang, Jinling Xu, Qiansheng Huang, Wenjuan Cui, Yuanchun Zhou, Yang Gao, Bin Wang, Yi Du   +12 more
wiley   +1 more source

Rapid Proteome‐Wide Discovery of Protein–Protein Interactions With ppIRIS

Advanced Science, EarlyView.
ppIRIS is a lightweight deep learning framework for proteome‐wide protein–protein interaction prediction directly from sequence. By fusing evolutionary and structural embeddings with a regularized Siamese architecture, ppIRIS achieves state‐of‐the‐art accuracy across species, enables minute‐scale screening, and reveals biologically validated bacterial ...
Luiz Felipe Piochi, Di Tang, Johan Malmström, Yasaman Karami, Hamed Khakzad   +4 more
wiley   +1 more source

Compensatory Interplay Between Clarin‐1 and Clarin‐2 Deafness‐Associated Proteins Governs Phenotypic Variability in Hearing

Advanced Science, EarlyView.
Functional compensation between clarin‐1 and clarin‐2 in cochlear hair cells. Hearing loss associated with CLRN1 mutations shows striking phenotypic variability; however, the underlying mechanisms remain poorly understood. This study reveals that clarin‐1 and clarin‐2 function cooperatively in cochlear hair cells to sustain mechanoelectrical ...
Maureen Wentling, Aïda Yakhlef Sanchez, Nicolas Thelen, Müge Senarisoy, Maria Hogg, Steven Condamine, Andrea Lelli, Emilia Wysocka, Pranav Patni, Sandrine Vitry, Kerem Yasin Yildizhan, Sébastien Le Gal, Sylvie Nouaille, Michael R. Bowl, Marc Thiry, Didier Dulon, Sedigheh Delmaghani, Aziz El‐Amraoui   +17 more
wiley   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

From Digital Inequality to Data Justice: The Phenomenon of Data Poverty in Statistical and Data Science Dimensions

Naukovij Vìsnik Nacìonalʹnoï Akademìï Statistiki, Oblìku ta Auditu
The article explores the phenomenon of data poverty as a novel dimension of digital inequality, encompassing technical, social, political, and ethical aspects. The relevance of this research stems from the recognition that data poverty extends beyond the
О. H. OSAULENKO, R. М. MOTORYN, О. О. HOROBETS   +2 more
doaj   +1 more source

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

Advanced Science, EarlyView.
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu, Haolin Fan, Minwoo Kim, Tong Zhou, Pinyi Yang, Lingdi Zhao, Yiran Wang, Ziyuan Che, Chia‐Wei Liu, Bingbing Li, Yangzhi Zhu   +10 more
wiley   +1 more source