Results 111 to 120 of about 2,018 (260)

Multi-sensor network tracking research utilizing searchable encryption algorithm in the cloud computing environment. [PDF]

PeerJ Comput Sci, 2023
Sun X, Li S.
europepmc   +1 more source

Multiple Roles of Protamine Kinase SRPK1 and Phosphatase PP1γ in Sperm Development

PROTEOMICS, EarlyView.
ABSTRACT Protein phosphorylation regulates key events of male germ cell differentiation. In the testis, SRPK1 and PP1γ are involved in protamine phosphorylation and dephosphorylation, respectively, and their deregulation is linked to defective chromatin structure and male infertility.
Alberto de la Iglesia, Mélina Blanco, Meritxell Jodar, Olivier Feudjio, Marjorie Leduc, Judit Castillo, Julie Cocquet, Rafael Oliva   +7 more
wiley   +1 more source

x‐Ray Structure of Streptomyces avermitilis Phospholipase D Reveals a Ca2+‐Stabilized Expanded Active‐Site Cleft Adapted for Phospholipid Binding

Proteins: Structure, Function, and Bioinformatics, EarlyView.
ABSTRACT Phospholipase D (PLD) catalyzes the hydrolysis of phospholipids to generate phosphatidic acid and free head groups such as choline. Among bacterial PLD enzymes, Streptomyces chromofuscus PLD (SchPLD), a member of the alkaline phosphatase D (PhoD) superfamily, exhibits unique Ca2+‐dependent phospholipase activity.
Yoshiaki Yasutake, Tatsuya Hirata, Shunsuke Nomura, Kenji Konishi, Kazunari Yoneda, Shin‐ichi Sakasegawa, Haruhiko Sakuraba   +6 more
wiley   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

Responsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen, Siwei Yang, Xiangqian Cui, Ziheng Liu, Hang Wang, Yongqiang Li, Peng He, Miao Wang, Guqiao Ding   +8 more
wiley   +1 more source

Attribute-based multi-user collaborative searchable encryption in COVID-19. [PDF]

Comput Commun, 2023
Zhao F, Peng C, Xu D, Liu Y, Niu K, Tang H.   +5 more
europepmc   +1 more source

How AI and Digital Technologies Can Enhance Sustainable Livestock Manure Management: An Overview From Treatment to Distribution

Sustainable Development, EarlyView.
ABSTRACT Sustainable livestock manure management sits at the nexus of climate, nutrient circularity and water quality. This review explores how artificial intelligence (AI) and digital platforms are used across four management stages, that is, treatment, storage, valorisation and distribution, and figures out where integration fails to deliver ...
Zhan Shi, Feihong Liang, Francesco Marinello, Andrea Pezzuolo   +3 more
wiley   +1 more source

On the Performance of Secure Sharing of Classified Threat Intelligence between Multiple Entities. [PDF]

Sensors (Basel), 2023
Fernandes R, Bugla S, Pinto P, Pinto A.
europepmc   +1 more source

Fine-grained Dynamic Searchable Symmetric Encryption for Conjunction Query

Fine-grained Dynamic Searchable Symmetric Encryption for Conjunction Query
Searchable Symmetric Encryption (SSE) has been researched from three perspectives: security, performance, and functionality, and various SSEs have been proposed. Some SSEs are constructed with a data structure called Bloom Filter (BF). However, while BF has a good storage cost, it cannot efficiently perform data update operating and has a problem in ...
openaire  

Integrating multimodal data and machine learning for entrepreneurship research

Strategic Entrepreneurship Journal, EarlyView.
Abstract Research Summary Extant research in neuroscience suggests that human perception is multimodal in nature—we model the world integrating diverse data sources such as sound, images, taste, and smell. Working in a dynamic environment, entrepreneurs are expected to draw on multimodal inputs in their decision making.
Yash Raj Shrestha, Vivianna Fang He
wiley   +1 more source

Bias in, symbolic compliance out? GPT's reliance on gender and race in strategic evaluations

Strategic Management Journal, EarlyView.
Abstract Research summary Organizations are increasingly using large language models (LLMs) to support strategic evaluations. We examine whether and how these systems rely on gender and race. We asked GPT to evaluate identical startup pitches varying only the founder's name, shaping gender and race perceptions.
Tristan L. Botelho, Qingyang (Iris) Wang
wiley   +1 more source