Measuring the sustainability of beef supply chain with rapid appraisal for beef supply chain.

Background And Aim: Nationally, there has always been a gap between the demand for beef and its supply, although supply growth is proportional with demand growth and even exceeds it in some regions in Indonesia. This research study aims to measure the sustainability status of the beef supply chain and applies the developed measurement system to a specific beef supply chain by identifying suitable indicators and their scale. Moreover, this research study provides some recommendations for the improvement of the sustainability status of the beef supply chain.

p16INK4A Expression in Condyloma Acuminata Lesions Associated with High-Risk Human Papillomavirus Infection.

Objective: The objective of this study was to discover the possible correlation between p16INK4A expression and the LR/HR-HPV infection in condyloma acuminate (CA) lesions.

Materials And Method: This cross-sectional study was conducted during January-December 2017 on 33 CA patients. The expression of p16INK4A was detected by immunohistochemistry (IHC) staining.

Applying the Principles of Lean Production to Gastrointestinal Biopsy Handling: From the Factory Floor to the Anatomic Pathology Laboratory.

Objectives: To implement Lean principles to accommodate expanding volumes of gastrointestinal biopsies and to improve laboratory processes overall.

Design: Our continuous improvement (kaizen) project analyzed the current state for gastrointestinal biopsy handling using value-stream mapping for specimens obtained at a 487-bed tertiary care pediatric hospital in Dallas, Texas. We identified non-value-added time within the workflow process, from receipt of the specimen in the histology laboratory to the delivery of slides and paperwork to the pathologist.

[Epidemiologic analysis of patients afferent to the ICU].

Background: To understand in- and out-patients flow to and from an ICU during a year (1998). The setting of the study was an 8-beds Intensive Care Unit of a 480-beds General Hospital with an Emergency Department.

Methods: Retrospective analysis by a specific designed software of all patient data extrapolated from the hospital database, in order to: 1) Divide all ICU patients in four groups, according to the first admission Department; 2) Classify all ICU patients into 3 subgroups: a) medical; b) surgical; c) trauma; 3) Evaluate the different needs of ICU resources in these different patient populations.