Immune checkpoint targeting immunotherapy has revolutionized the treatment of certain cancers in the recent years.Determination of the status of immune Memory Cards checkpoint expression in particular cancers may assist decision making.Here, we describe the development of a single-stranded aptamer-based molecular probe specifically recognizing huma
Bishop Koop procedure in Hirschsprung disease in a two year old child: Case report
The Hirschsprung disease characterised by congenital absence of ganglion cells, is confirmed by sero muscluar biopsies of the involved bowel, hence the initial leveling colostomy/ileostomy followed by subsequent definitive pull through procedure.However only the full circumference of the pulled down bowel having ganglion cells in all four quadrants
UPAYA PENANGGULANGAN ILLEGAL LOGGING MELALUI HUKUM ADAT DITINJAU DARI PERSPEKTIF PLURALISME HUKUM
The Illegal logging regulated in some positive rules, in the meanwhile act number 41/1995, act number 5/1985, The government regulation number 28/1985 and The Penal Regulation.In the those regulations not always can be solve the case of illegal loging.Traditional People with their custom law have a role to defand natural resource.Some example case
First known feeding trace of the eocene bottom-dwelling fish Notogoneus osculus and its paleontological significance.
BACKGROUND: The Green River Formation (early Eocene, about 42-53 Ma) at and near Fossil Butte National Monument in Wyoming, USA, is world famous for its exquisitely preserved freshwater teleost fish in the former Fossil Lake.Nonetheless, trace fossils attributed to fish interacting with the lake bottom are apparently rare, and have not been associa
A Comparative Study of Single-Chain and Multi-Chain MCMC Algorithms for Bayesian Model Updating-Based Structural Damage Detection
Bayesian model updating has received considerable attention and has been extensively used in structural damage detection.It provides a rigorous statistical framework for realizing structural system identification and characterizing uncertainties associated with modeling and measurements.The Markov Chain Monte Carlo (MCMC) is a promising tool for in