active edge
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Author(s):  
Chrysanthi Patriarchea ◽  
Ioannis Vamvasakis ◽  
Eirini Koutsouroubi ◽  
Gerasimos S Armatas

Modulating the heterojunction interfaces at the nanoscale is paramount to developing effective photocatalysts. Nanodimensional heterostructures, essentially, expose a large fraction of active edge sites, which, along with excellent electronic communication,...


2021 ◽  
pp. 131103
Author(s):  
Xiafen Hu ◽  
Xiang Li ◽  
Huimin Yang ◽  
Songhua Liu ◽  
Ziyu Qin ◽  
...  

2021 ◽  
Vol 6 (3) ◽  
pp. 01-06
Author(s):  
Mohammed S Al Abadie

Vitiligo is a common skin disorder with an estimated prevalence of 1-2% of the world population. It is characterised by well demarcated milky white patches of depigmentation which have the tendency to enlarge and spread peripherally. The pathogenesis is not fully understood, a process leads and end in the loss of functional melanocytes from the epidermis. There are many proposed theories and hypotheses, none of which can fully explain its pathogenesis. However, lately it is believed that an overlap between some of these theories can present better understanding. This is to include the two long standing theories i.e., the autoimmune and the neuronal. The latter been proposed in 1959, initially based on clinical observations and studies, including animal, physiological, biochemical, embryonic, structural and electron microscopy. In 1994 new evidence emerged linking the neuronal theory to autoimmune mechanisms by demonstration of changes in Neuropeptides in particular Neuropeptide Y (NPY), in the skin at the active edge of vitiligo skin. This review paper highlights all evidence supportive of the neuronal theory in the pathogenesis of vitiligo past and present.


2021 ◽  
Vol 6 (1) ◽  
pp. 44-50
Author(s):  
Yusufiani Nurlinawati Dili

Penelitian ini membahas tentang penyelesaian masalah transportasi dengan pendekatan Minimum Spanning Tree (MST) menggunakan algoritma Kruskal dan algoritma Prim untuk mencari solusi optimal. Algoritma Kruskal dan algoritma Prim merupakan algoritma dalam teori graf untuk mencari Minimum Spanning Tree (MST). Langkah algoritma Kruskal yaitu mengurutkan biaya dari yang terkecil hingga terbesar. Selanjutnya, pilih biaya yang paling terkecil. Kemudian, lakukan perhitungan dengan melihat sumber persediaan dan permintaan di setiap tujuan sampai semuanya terpenuhi, sehingga terlihat bentuk Minimum Spanning Tree (MST) dari algoritma Kruskal. Sedangkan langkah algoritma Prim yaitu dengan memilih sembarang titik atau sumber. Selanjutnya, pilih active edge dengan biaya terkecil. Kemudian, lakukan perhitungan dengan melihat sumber persediaan dan permintaan di setiap tujuan sampai semuanya terpenuhi, sehingga terlihat bentuk Minimum Spanning Tree (MST) dari algoritma Prim. Bentuk dari Minimum Spanning Tree (MST) menghasilkan solusi yang optimal. Dari hasil penelitian ini, pendekatan Minimum Spanning Tree (MST) dengan algoritma Prim yang lebih unggul. 


2021 ◽  
Vol 406 ◽  
pp. 126713 ◽  
Author(s):  
Xue Yang ◽  
Junjie Mao ◽  
Hao Niu ◽  
Qian Wang ◽  
Kai Zhu ◽  
...  
Keyword(s):  

RSC Advances ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 1303-1319
Author(s):  
Rosy Rahman ◽  
Dipanjan Samanta ◽  
Amita Pathak ◽  
Tapan Kumar Nath

The optimal cobalt (6% Co) doped MoS2 catalyst has shown the highest catalytic activity due to the presence of abundant defects in the active edge sites, having dominant metallic 1T phase with Co ion activated defective basal planes.


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