Results 51 to 60 of about 179,959 (263)

Unlocking Terahertz Steganography: Authentication of Hidden Images in Flexible Media

Advanced Materials Technologies, EarlyView.
Hidden information in multilayered devices, such as steganographic portraits, is detected and authenticated using reflection‐mode terahertz time‐domain imaging. Image reconstruction relies on a dedicated figure‐of‐merit obtained by integrating the signal intensity over the time‐window associated with the reflection from the metallic mirror backing the ...
Tiziana Ritacco, Francesca Vittorioso, Dimitrios C. Zografopoulos, Romeo Beccherelli, Walter Fuscaldo   +4 more
wiley   +1 more source

Comprehensive spectral identification of key intermediates to the final product of the chiral pool synthesis of radezolid

Chemistry Central Journal, 2017
Radezolid (RAD, 12), biaryl oxazolidinone, was synthesised with small modifications according to the methods described in the literature. The pharmacological activity is observed only for (S)-enantiomer, therefore its synthesis is oriented towards ...
Katarzyna Michalska, Elżbieta Bednarek, Ewa Gruba, Kornelia Lewandowska, Mikołaj Mizera, Judyta Cielecka-Piontek   +5 more
doaj   +1 more source

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

Advanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo, Ying Yang, Zizhen Fu, Fengqi Liu, Susu Fang, Kele Xu, Shanshan Wang   +6 more
wiley   +1 more source

Overcoming Artificial Structures in Resolution‐Enhanced Hi‐C Data by Signal Decomposition and Multi‐Scale Attention

Advanced Science, EarlyView.
Deep‐learning‐based signal enhancement is an effective way to recover high‐resolution details from a low‐resolution chromatin contact map. However, due to computational challenges, existing methods commonly divide up the contact map into small patches and create artificial discontinuities at patch boundaries.
Qinyao Li, Kelly Yichen Li, Chiara Nicoletti, Stephen Kwok‐Wing Tsui, Pier Lorenzo Puri, Qin Cao, Kevin Y. Yip   +6 more
wiley   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Challenges Perceived by Local Pharmaceutical Manufacturers that Hinder Adequate Production of Essential Medicines in Tanzania [PDF]

, 2011
Limited access to essential medicines undermines the health systems’ objectives of equity, efficiency and health development in many developing countries. The major factor associated with limited drug accesses is the high price of medicines.
Mwilongo, Sophia Josephat, Mwilongo, Sophia J   +1 more
core  

Simple field assays to check quality of current artemisinin-based antimalarial combination formulations. [PDF]

, 2009
INTRODUCTION: Malaria continues to be one of the major public health problems in Africa, Asia and Latin America. Artemisinin derivatives (ARTs; artesunate, artemether, and dihydroartemisinin) derived from the herb, Artemisia annua, are the most effective
Ioset, Jean-Robert, Kaur, Harparkash, Harparkash Kaur, Kaur Harparkash, Jean-Robert Ioset, Ioset Jean-Robert   +5 more
core   +2 more sources

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

Advanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin, Qian Lei, Wei Yan, Yue Li, Tong Xie, Shuang Zhou, Chong Wang, Bram Hoex, Qiang Long, Caoyang Jiang, Min Song, Zhou Li, Zhangwei Wang   +12 more
wiley   +1 more source

Developing a national strategy for combating counterfeit medicines [PDF]

, 2015
Background Counterfeit medicines pose a worldwide problem to governments, pharmaceutical companies and patients, meaning a systemic and comprehensive approach needs to be adopted by medicines regulatory agencies.
Alwon, Bassam
core   +5 more sources

Public health issues with counterfeit medicines [PDF]

Clinical Medicine, 2009
Clinicians who prescribe medicines in the UK at primary care and at hospital level are facing the possibly disastrous consequences of a global crime wave – the supply and distribution of counterfeit medicines and healthcare products.
openaire   +2 more sources