In the title compound, [Ag(2)(C(10)H(6)NO(2))(2)](n), the Ag(I) atom is coordinated by one N atom and two O atoms from three quinoline-3-carboxyl-ate ligands in a T-shaped fashion, with an additional Ag⋯Ag distance of 2.9468 (6) Å. The ligands connect the Ag(I) atoms into a double-chain structure along [010]. Weak Ag⋯O inter-actions [Ag⋯O = 2.802 (3) and 2.877 (4) Å] link the double-chains into a layer network parallel to (101). π-π inter-actions are also observed in the layer network [centroid-centroid distances = 3.780 (3) and 3.777 (3) Å].
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3435599 | PMC |
| http://dx.doi.org/10.1107/S1600536812035209 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Privacy-preserving approach for IoT networks using statistical learning with optimization algorithm on high-dimensional big data environment.
Sci Rep
January 2025
Department of Artificial Intelligence and Data Science, College of Computer Science and Engineering, University of Hail, Hail, Saudi Arabia.
In the present digital scenario, the explosion of Internet of Things (IoT) devices makes massive volumes of high-dimensional data, presenting significant data and privacy security challenges. As IoT networks enlarge, certifying sensitive data privacy while still employing data analytics authority is vital. In the period of big data, statistical learning has seen fast progressions in methodological practical and innovation applications.
View Article and Find Full Text PDFTyphoon localization detection algorithm based on TGE-YOLO.
Sci Rep
January 2025
College of Mathematics and Computer Science, Guangdong Ocean University, Zhanjiang, 524088, China.
To address the problems of complex cloud features in satellite cloud maps, inaccurate typhoon localization, and poor target detection accuracy, this paper proposes a new typhoon localization algorithm, named TGE-YOLO. It is based on the YOLOv8n model with excellent high-low feature fusion capability and innovatively achieves the organic combination of feature fusion, computational efficiency, and localization accuracy. Firstly, the TFAM_Concat module is creatively designed in the neck network, which comprehensively utilizes the detailed information of shallow features and the semantic information of deeper features, enhancing the fusion ability of features at each layer.
View Article and Find Full Text PDFMulti task opinion enhanced hybrid BERT model for mental health analysis.
Sci Rep
January 2025
Department of Computer Science, College of Computer and Information Sciences, King Saud University, 11543, Riyadh, Saudi Arabia.
Understanding the nuanced emotions and points of view included in user-generated content remains challenging, even though text data analysis for mental health is a crucial instrument for assessing emotional well-being. Most current models neglect the significance of integrating viewpoints in comprehending mental health in favor of single-task learning. To offer a more thorough knowledge of mental health, in this study, we present an Opinion-Enhanced Hybrid BERT Model (Opinion-BERT), built to handle multi-task learning for simultaneous sentiment and status categorization.
View Article and Find Full Text PDFNAD World 3.0: the importance of the NMN transporter and eNAMPT in mammalian aging and longevity control.
NPJ Aging
January 2025
Department of Developmental Biology, Department of Medicine (Joint), Washington University School of Medicine, St. Louis, Missouri, USA.
Over the past five years, systemic NAD (nicotinamide adenine dinucleotide) decline has been accepted to be a key driving force of aging in the field of aging research. The original version of the NAD World concept was proposed in 2009, providing an integrated view of the NAD-centric, systemic regulatory network for mammalian aging and longevity control. The reformulated version of the concept, the NAD World 2.
View Article and Find Full Text PDFCapacitance enhancement by ion-laminated borophene-like layered materials.
Nat Commun
January 2025
Laboratory for Chemistry and Life Science, Institute of Integrated Research, Institute of Science Tokyo, Yokohama, 226-8501, Japan.
Atomically flat two-dimensional networks of boron are attracting attention as post-graphene materials. An introduction of cations between the boron atomic layers can exhibit unique electronic functions that are not achieved by neutral graphene or its derivatives. In the present study, we propose a synthesis strategy for ion-laminated boron layered materials in a solution phase, which enables the preparation of analogs by changing the alkali-metal species.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!