Results 91 to 100 of about 3,839,669 (256)

Multi-Modal Biometrics: Applications, Strategies and Operations [PDF]

, 2015
The need for adequate attention to security of lives and properties cannot be over-emphasised. Existing approaches to security management by various agencies and sectors have focused on the use of possession (card, token) and knowledge (password ...
Udoh S. S, Iwasokun Gabriel
core  

A Multi-Modal Entity Alignment Method with Inter-Modal Enhancement

, 2023
Due to inter-modal effects hidden in multi-modalities and the impact of weak modalities on multi-modal entity alignment, a Multi-modal Entity Alignment Method with Inter-modal Enhancement (MEAIE) is proposed.
Song Yuan, Qiyuan Li, Zexin Lu, Jinguang Gu   +3 more
core   +1 more source

A role for eIF5A in translational control of stress‐inducible proteins in multiple myeloma cell lines

Molecular Oncology, EarlyView.
Loss of eIF5A rewires thapsigargin‐mediated endoplasmic reticulum stress responses in multiple myeloma cells by selective translation of mRNA transcripts, consequently dampening thapsigargin‐induced unfolded protein response (UPR) activation and shifting the balance from induction of apoptosis toward cell survival and proliferation.
Demi Both, Ingrid A. M. Derks, Raphaël Vanleyssem, Marine Leclercq, Najla El Hachem, Pierre Close, Eric Eldering, Marco Vincent Haselager   +7 more
wiley   +1 more source

Multi-modal MR imaging of relapsing-remitting MS patients treated with pioglitazone.

, 2007
Multi-modal MR imaging of relapsing-remitting MS patients treated with ...
Dinesh K. Shukla (7984019)
core   +4 more sources

PENGARUH PERPUTARAN MODAL KERJA, STRUKTUR MODAL DAN UKURAN PERUSAHAAN TERHADAP PROFITABILITAS PERUSAHAAN MANUFAKTUR YANG TERDAFTAR DI BURSA EFEK INDONESIA (BEI)

, 2014
Tujuan dari penelitian ini adalah untuk mengetahui pengaruh perputaran modal kerja, struktur modal dan ukuran perusahaan terhadap profitabilitas pada perusahaan manufaktur yang terdaftar di Bursa Efek Indonesia pada tahun 2008-2011.
PENGARUH PERPUTARAN MODAL KERJA
core  

Optimization of seminal extracellular vesicle isolation protocols for cancer biomarker analysis using proteomic profiling

Molecular Oncology, EarlyView.
This paper shows that size‐exclusion chromatography and sequential centrifugation applied to seminal plasma enrich for different populations of extracellular vesicles. This may significantly affect the detection and analysis of extracellular vesicle‐associated cancer biomarkers.
Elen Telumyan, Beatriz Martín‐Gracia, Eva Bassols‐Citores, Krizia Sagini, Maria K. Andersen, Tuula A. Nyman, May‐Britt Tessem, Morten B. Rye, Alicia Llorente   +8 more
wiley   +1 more source

DCSLK: Combined large kernel shared convolutional model with dynamic channel Sampling

NeuroImage
This study centers around the competition between Convolutional Neural Networks (CNNs) with large convolutional kernels and Vision Transformers in the domain of computer vision, delving deeply into the issues pertaining to parameters and computational ...
Zongren Li, Shuping Luo, Hongwei Li, Yanbin Li   +3 more
doaj   +1 more source

Korean Tourist Spot Multi-Modal Dataset for Deep Learning Applications

Data, 2019
Recently, deep learning-based methods for solving multi-modal tasks such as image captioning, multi-modal classification, and cross-modal retrieval have attracted much attention. To apply deep learning for such tasks, large amounts of data are needed for
Changhoon Jeong, Sung-Eun Jang, Sanghyuck Na, Juntae Kim   +3 more
doaj   +1 more source

UiO‐66 metal–organic frameworks in biomedicine: From structural tunability to bioimaging, photodiagnostics, and photodynamic cancer therapy

FEBS Open Bio, EarlyView.
UiO‐66(Zr) metal–organic frameworks are chemically stable, biocompatible, and highly tunable nanomaterials. Their modular structure enables controlled drug delivery, multimodal bioimaging, and light‐activated photodynamic therapy, supporting integrated diagnostic and therapeutic (theranostic) applications in cancer and biomedical research.
Veronika Huntošová, Grigorii Rakhalskii, Miroslav Almáši   +2 more
wiley   +1 more source

Resource allocation for AI-native healthcare systems in 6G dense networks using deep reinforcement learning

Digital Communications and Networks
Although 6G networks combined with artificial intelligence present revolutionary prospects for healthcare delivery, resource management in dense medical device networks stays a basic issue.
Jianhui Lv, Chien-Ming Chen, Saru Kumari, Keqin Li   +3 more
doaj   +1 more source