scholarly journals Tuning the flexibility in MOFs by SBU functionalization

2016 ◽  
Vol 45 (10) ◽  
pp. 4407-4415 ◽  
Author(s):  
Volodymyr Bon ◽  
Negar Kavoosi ◽  
Irena Senkovska ◽  
Philipp Müller ◽  
Jana Schaber ◽  
...  
Keyword(s):  
Fine Tuning ◽  
Secondary Building Unit ◽  
New Approach ◽  
Building Unit

A new approach for the fine tuning of flexibility in MOFs, involving functionalization of the secondary building unit, is presented.

Stability and Porosity Enhancement through Concurrent Ligand Extension and Secondary Building Unit Stabilization

2006 ◽  
Vol 45 (19) ◽  
pp. 7566-7568 ◽  
Author(s):  
Daofeng Sun ◽  
Yanxiong Ke ◽  
Tracy M. Mattox ◽  
Sean Parkin ◽  
Hong-Cai Zhou
Keyword(s):  
Secondary Building Unit ◽  
Building Unit

Edge-directed [(M2)2L4] tetragonal metal–organic polyhedra decorated using a square paddle-wheel secondary building unit

2010 ◽  
Vol 46 (12) ◽  
pp. 2049 ◽  
Author(s):  
M. Jaya Prakash ◽  
Minhak Oh ◽  
Xinfang Liu ◽  
Kwi Nam Han ◽  
Gi Hun Seong ◽  
...  
Keyword(s):  
Secondary Building Unit ◽  
Paddle Wheel ◽  
Building Unit ◽  
Metal Organic

scholarly journals Multiscale Mask R-CNN–Based Lung Tumor Detection Using PET Imaging

2019 ◽  
Vol 18 ◽  
pp. 153601211986353 ◽  
Author(s):  
Rui Zhang ◽  
Chao Cheng ◽  
Xuehua Zhao ◽  
Xuechen Li
Keyword(s):  
Pet Imaging ◽  
Lung Tumor ◽  
Training Data ◽  
Fine Tuning ◽  
Weighted Voting ◽  
Data Set ◽  
New Approach ◽  
Positron Emission ◽  
Voting Strategy ◽  
Aided Diagnosis

Positron emission tomography (PET) imaging serves as one of the most competent methods for the diagnosis of various malignancies, such as lung tumor. However, with an elevation in the utilization of PET scan, radiologists are overburdened considerably. Consequently, a new approach of “computer-aided diagnosis” is being contemplated to curtail the heavy workloads. In this article, we propose a multiscale Mask Region–Based Convolutional Neural Network (Mask R-CNN)–based method that uses PET imaging for the detection of lung tumor. First, we produced 3 models of Mask R-CNN for lung tumor candidate detection. These 3 models were generated by fine-tuning the Mask R-CNN using certain training data that consisted of images from 3 different scales. Each of the training data set included 594 slices with lung tumor. These 3 models of Mask R-CNN models were then integrated using weighted voting strategy to diminish the false-positive outcomes. A total of 134 PET slices were employed as test set in this experiment. The precision, recall, and F score values of our proposed method were 0.90, 1, and 0.95, respectively. Experimental results exhibited strong conviction about the effectiveness of this method in detecting lung tumors, along with the capability of identifying a healthy chest pattern and reducing incorrect identification of tumors to a large extent.

scholarly journals The Elusive Nitro-Functionalised Member of the IRMOF-9 Family

2019 ◽  
Vol 72 (10) ◽  
pp. 811 ◽  
Author(s):  
Luke Conte ◽  
Tian-You Zhou ◽  
Omid T. Qazvini ◽  
Lujia Liu ◽  
David R. Turner ◽  
...  
Keyword(s):  
Dicarboxylic Acid ◽  
Surface Area ◽  
Metal Organic Framework ◽  
Bet Surface Area ◽  
Solvothermal Reaction ◽  
X Ray Diffraction ◽  
Secondary Building Unit ◽  
Initial Product ◽  
Building Unit ◽  
Metal Organic

The solvothermal reaction of 2-nitro-[1,1′‐biphenyl]‐4,4′‐dicarboxylic acid (H2bpdcNO2) with Zn(NO3)2·6H2O in DMF solvent does not give a functionalised variant of IRMOF-9. Single-crystal X-ray diffraction analysis shows the major initial product of this reaction, WUF-21 (WUF=Wollongong University Framework), is a porous interpenetrated diamondoid metal–organic framework (MOF) with a secondary building unit that ‘doubly straps’ eight bridging bpdcNO2 ligands in a distorted tetrahedral shape around an unusual pentazinc core. A second porous MOF phase (WUF-23) containing a large and novel dodecazinc secondary building unit forms in the same reaction and eventually predominates in solutions containing formate anion, which arises from the hydrolysis of DMF. Doping the starting ligand with [1,1′‐biphenyl]‐4,4′‐dicarboxylic acid (H2bpdc) provides a facile way to grow nitro-functionalised IRMOF-9, hereafter denoted as WUF-22, where the dopant is carried through into the product. Activated WUF-22 is a microporous solid with an apparent Brunauer–Emmett–Teller (BET) surface area of 2497m2g−1, which matches well with geometric surface area calculations. The CO2 adsorption properties of WUF-22 are reported.

Improving the Cd2+ detection capability of a new anionic rare earth metal–organic framework based on a [RE6(μ3-OH)8]10+ secondary building unit: an ion-exchange approach towards more efficient sensors

2020 ◽  
Vol 5 (6) ◽  
pp. 1077-1087 ◽  
Author(s):  
Nikos Panagiotou ◽  
Kasiani Evangelou ◽  
Athanasia Psalti ◽  
Nektaria Varnava ◽  
Giasemi K. Angeli ◽  
...  
Keyword(s):  
Rare Earth ◽  
Ion Exchange ◽  
Metal Ion ◽  
Metal Organic Framework ◽  
Earth Metal ◽  
Secondary Building Unit ◽  
Exchange Method ◽  
Building Unit ◽  
Ion Sensing ◽  
New Family

A new family of microporous anionic rare earth (RE) MOFs based on a hexanuclear (RE)6 secondary building unit along with a post-synthetic ion-exchange method to enhance the metal ion sensing capability of anionic MOFs are reported.

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