We developed a method for preparing catalysts by using hybrid clustering to form high density of metal/oxide interfacial active sites. A Rh–Mo catalyst was prepared cluster, [(RhCp*)4Mo4O16] (Cp* = η5-C5Me5), as the precursor. The activities toward NO–CO–C3H6–O2 reaction depended on mixing (hybrid > coimpregnation ≈ pristine Rh). also exhibited durability against thermal aging at 1273 K in air....

Mammography is a widely used diagnostic technique for early breast cancer detection in women. Clusters of Microcalcification are the sign of breast cancer and their detection will decrease the probability of mortality rate and improves its prognosis. The detection of microcalcification clusters is a difficult task for radiologists because of variations of size and orientation and are highly cor...

For the first time, Mo modified Rh/SiO2 was found to be an effective catalyst for the aqueous phase selective hydrogenation of levulinic acid to 1,4-pentanediol. Over such a catalyst, high levulinic acid conversion (100%) and 1,4-pentanediol yield (70%) can be achieved at low temperature (353 K).

Biomedical image processing is a hot research topic which helps to majorly assist the disease diagnostic process. At same time, breast cancer becomes deadliest among women and can be detected by use of different imaging techniques. Digital mammograms used for earlier identification minimize death rate. But proper has mainly relied on mammography findings results increased false positives. For r...

RATIONALE AND OBJECTIVES We investigated a computer-aided detection (CAD) scheme for clustered microcalcifications in digitized mammograms. METHODS A multistage CAD scheme was developed and tested. To increase sensitivity, the scheme uses a Gaussian band-pass filter and nonlinear threshold. A multistage local minimum searching routine and a multilayer topographic feature analysis are used to ...

Automatic digital mammograms reading become highly enviable, as the number of mammograms to be examined by physician increases enormously. It is premised that the computer aided diagnosis system is mandatory to assist physicians/radiologists to achieve high efficiency and productivity. To handle uncertainties of medical images, fuzzy soft set theory has been merely scrutinized, even though the ...

This paper presents a novel segmentation method for identifying mass regions in mammograms. This work is a part of an on-going project whose aim is to build a Computer-Aided Diagnosis (CADx) system that classifies suspicious cancer masses in mammograms as benign or malignant. Segmentation of suspicious mass regions is an important pre-processing step to achieve high accuracy results, because th...

Mammography is the most efficient method for breast cancer early detection. Clusters of microcalcifications are the sign of breast cancer and their early detection is the key to improve breast cancer prognosis. Microcalcifications appear in mammogram as tiny granular points, which are difficult to observe by radiologists due to their small size. An efficient method for automatic and accurate de...

background : appropriate methodology for storage biological materials, extraction of dna, and proper dna preservation is vital for studies involving genetic analysis of insects, bacteria, and reservoir hosts as well as for molecular diagnostics of pathogens carried by vectors and reservoirs. here we tried to evaluate the utility of a simple filter paper-based for storage of insects, bacteria, r...

The particle filter (PF) is a novel technique that has sufficiently good estimation results for the nonlinear/non-Gaussian systems. However, PF is inconsistent that caused mainly by loss of particle diversity in resampling step and unknown a priori knowledge of the noise statistics. This paper introduces a new modified particle filter called adaptive unscented particle filter (AUPF) to overcome th...