Nurses' Knowledge Towards Severe Acute Malnutrition Management Protocol and Its Associated Factors

For appropriate management of severe acute malnutrition skilled, knowledgeable and concerned health professionals are critical for child survival. Thus assessing the knowledge of nurses towards management protocol of severe acute malnutrition is crucial step for targeted interventions. This study aimed to assess Knowledge towards Severe Acute Malnutrition Management Protocol and its Associated Factors among Nurses working in Hiwot Fana Specialized University Hospital, 2018. Cross-sectional study was conducted among eligible 132 nurses. Data were collected using self-administered questionnaire prepared from the national SAM management guideline of Ethiopia. SPSS version 20.0 software using frequency, tables, graphs, percentages and mean was used. Student t test and analysis of variance with F statistics and P value was computed. Overall, 65 (49.2%) of nurses had poor knowledge on SAM management. More than half, 100 (75.8%) of the nurses had experience in SAM management previously. Males were more likely to be knowledgeable (AOR=1.27) as compared to females. Nurses with the previous experience of managing malnourished child had 1.70) times more likely to be knowledgeable as compared to their counterparts. Having SAM training was associated with having higher knowledge score (AOR=1.56). Having SAM training was found to have significantly higher knowledge score (p=0.034). Knowledge level of nurses towards SAM management is not satisfactory. Those who ever involved in SAM management, having recent malnutrition training and gender were predictors of high knowledge score. There should be regular capacity building schemes for nurses especially for those who are involved in management of SAM at emergency or SAM unit

S-adenosylmethionine and superoxide dismutase 1 synergistically counteract Alzheimer's disease features progression in tgCRND8 mice

Recent evidence emphasizes the role of dysregulated one-carbon metabolism in Alzheimer's Disease (AD). Exploiting a nutritional B-vitamin deficiency paradigm, we have previously shown that PSEN1 and BACE1 activity is modulated by one-carbon metabolism, leading to increased amyloid production. We have also demonstrated that S-adenosylmethionine (SAM) supplementation contrasted the AD-like features, induced by B-vitamin deficiency. In the present study, we expanded these observations by investigating the effects of SAM and SOD (Superoxide dismutase) association. TgCRND8 AD mice were fed either with a control or B-vitamin deficient diet, with or without oral supplementation of SAM + SOD. We measured oxidative stress by lipid peroxidation assay, PSEN1 and BACE1 expression by Real-Time Polymerase Chain Reaction (PCR), amyloid deposition by ELISA assays and immunohistochemistry. We found that SAM + SOD supplementation prevents the exacerbation of AD-like features induced by B vitamin deficiency, showing synergistic effects compared to either SAM or SOD alone. SAM + SOD supplementation also contrasts the amyloid deposition typically observed in TgCRND8 mice. Although the mechanisms underlying the beneficial effect of exogenous SOD remain to be elucidated, our findings identify that the combination of SAM + SOD could be carefully considered as co-adjuvant of current AD therapies

Deriving a Global Social Accounting Matrix from GTAP version 5 Data

This paper reports a method for converting version 5 of the GTAP database into a global SAM that is stored in GAMS data exchange (GDX) format or in a Header Array (HAR) format. The focus of attention is on the generation of a SAM representation of the GTAP database that is fully consistent with the GTAP model; as such the resultant SAM can be readily used to calibrate a version of the GTAP model that had been coded in GAMS. The GAMS code used to generate the SAM representation of the GTAP database is provided as a GAMS model library – this code has been tested with versions 5.0 and 5.3 of the GTAP database

A 1998 Social Accounting Matrix for Thailand

This paper documents the features of a 1998 social accounting matrix (SAM) for Thailand. It begins with a description of the overall economy both via a macro SAM and a national accounts balance sheet. The macro SAM was the result of aggregating a micro SAM; a mapping of the final micro SAM to the macro SAM is presented. The micro SAM was a modified version of a SAM obtained from the Thai Development Research Institute (TDRI). The paper describes the modification process in detail. The original dataset obtained from TDRI was a "balanced™ matrix." The converted SAM, after the modification, was still balanced. It was therefore unnecessary to apply any balancing procedure. The final 1998 micro SAM for Thailand has 61 sectors, 3 household types, and 3 factors (labor, agricultural capital, and non-agricultural capital). Particularly helpful for the intended analysis on energy and environmental policy is that it has 8 primary energy sectors, 5 transportation sectors, and a health and medical treatment commodity account.Social accounting Thailand. ,Economic surveys Thailand. ,Household surveys Thailand. ,TMD ,

From Patient to Student Activation: Development of the Student Activation Measure

The Patient Activation Measure (PAM) was constructed to measure a person’s knowledge, skill, and confidence for self-managing one’s healthcare, or “activation” (Hibbard, Stockard, Mahoney, & Tusler, 2004). The Student Activation Measure (SAM) extends this definition to secondary education. The SAM is a short, positively worded measure that is intended to guide intervention planning. Six hundred three students from two disparate high schools located in the Pacific Northwest completed the measure and an accompanying demographic questionnaire. The respective schools provided the students’ GPAs and attendance records. Using Rasch modeling, the SAM evidenced excellent reliability and construct validity. One-way ANOVAs with post hoc Scheffe’s tests showed that higher SAM scores had significantly higher GPAs, fewer absences, increased time spent on homework, and less time spent on social media or playing video games. Overall, the SAM showed promise as both a research and intervention tool. In addition, the concept of activation has the added benefits of ease of measurement and bridges the gap between evidence-based practices in medicine and secondary education. Further research is needed to understand the properties of the SAM when used with students diagnosed with learning impairing disorders such as ADHD

Adapting SAM for CDF

The CDF and D0 experiments probe the high-energy frontier and as they do so have accumulated hundreds of Terabytes of data on the way to petabytes of data over the next two years. The experiments have made a commitment to use the developing Grid based on the SAM system to handle these data. The D0 SAM has been extended for use in CDF as common patterns of design emerged to meet the similar requirements of these experiments. The process by which the merger was achieved is explained with particular emphasis on lessons learned concerning the database design patterns plus realization of the use cases.Comment: Talk from the 2003 Computing in High Energy and Nuclear Physics (CHEP03), La Jolla, Ca, USA, March 2003, 4 pages, pdf format, TUAT00