Ewingskytte1561

lementing proper management of patients with heat stroke. A policy change should be performed among the Israeli PED community, with respect to establishing and implementing guidelines for treatment of exertional heat stroke. A future study, following an interventional simulation program is planned to be performed.

The present study exposes weaknesses in HCW knowledge, PED resources, and published PED policies for appropriate management of children following heat stroke. Our finding emphasizes the importance of both certificated PEM physicians attendance and simulation performance for implementing proper management of patients with heat stroke. learn more A policy change should be performed among the Israeli PED community, with respect to establishing and implementing guidelines for treatment of exertional heat stroke. A future study, following an interventional simulation program is planned to be performed.

Feelings of fat are common for people with eating disorders, but ways of measuring its intensity are needed. Therefore, our goal was to develop a self-report feelings of fat scale that asked participants to indicate how intensely they currently felt statements such as "I feel fat". With such a scale we can determine how strongly feelings of fat relate to evidence of disordered eating.

We conducted three studies of eating disorders with undergraduate women taking introductory psychology classes. The combined sample was 472 participants. A previous eating disorder diagnosis was self-reported by 33 participants and a current diagnosis by 11. All participants completed the EDE-Q and the seven (Study 1) or nine item (Studies 2 and 3) "State Feelings of Fat" (SFF) scales we developed. Each item asked them to rate the intensity with which they felt statements such "I feel fat" on a seven-point scale from "not at all" to "the most I have ever felt".

Both the seven and nine item SFF scales were highly coherent (sures.

We have constructed an eating disorders relevant feelings of fat scale. Given that the EDE-Q is considered a valid questionnaire for measuring severity of eating disorders, our findings suggests that feelings of fat are core to the psychopathology of eating disorders. To the extent that EDE-Q scores are stable it also suggests that feelings of fat are surprisingly stable. Furthermore, the single item "I feel fat" alone may capture most of what the EDE-Q measures.

Age-related diminished ovarian reserve (AR-DOR) reduced the quality of oocytes, resulting in decreased female fertility. Aging is tightly related to abnormal distribution and function of mitochondria, while mitophagy is a major process to maintain normal quality and quantity of mitochondria in cells, especially in oocytes which containing a large number of mitochondria to meet the demand of energy production during oocyte maturation and subsequent embryonic development. Ampk/FoxO3a signaling is crucial in the regulation of mitophagy. It is reported mesenchymal stem cells (MSCs) can improve ovarian function. Here we aim to explore if human amnion-derived mesenchymal stem cells (hAMSCs) are effective in improving ovarian function in AR-DOR mice and whether Ampk/FoxO3a signaling is involved.

The AR-DOR model mice were established by 32-week-old mice with 3-8 litters, significantly low serum sex hormone levels and follicle counts. The old mice were divided into 5 treatment groups normal saline (NS, control), plantation via tail-injection can improve ovarian function of AR-DOR mice through Ampk/FoxO3a signaling pathway.The Hippo signalling pathway plays a vital role in organ size control, cell proliferation, apoptosis, and immune regulation. In this study, a Hippo homologue with three isoforms (named MnHippo-a, MnHippo-b, and MnHippo-c) was isolated and characterized for the first time from the freshwater prawn Macrobrachium nipponense. The deduced amino acid sequences of MnHippo-a (698 aa), MnHippo-b (688 aa), and MnHippo-c (656 aa) were highly similar, and they all contained an N-terminal S_TKc (serine/threonine protein kinase catalytic) domain and a C-terminal Mst1_SARAH (Sav/Rassf/Hpo) domain. MnHippo-a and MnHippo-c were derived from alternative splicing. Phylogenetic analysis was performed, and the results revealed that MnHippo was a member of the clade containing STPK4 and Hippo of Penaeus vannamei. The expression distribution showed that MnHippo was constitutively expressed in various tissues of uninfected prawns and highly expressed in the hepatopancreas and intestine. In prawns challenged with Vibrio parahaemolyticus and Staphylococcus aureus, the expression of MnHippo in haemocytes was significantly upregulated. Furthermore, in MnHippo-knockdown prawns injected with V. parahaemolyticus or S. aureus, the transcription levels of five antimicrobial peptides were downregulated. MnHippo silencing weakened the clearance of V. parahaemolyticus and S. aureus in prawns. The survival rate of the MnHippo-dsRNA group was obviously decreased from 2 to 6 days post-injection with V. parahaemolyticus or S. aureus. Hence, MnHippo might be involved in the antibacterial immune defence of M. nipponense.

Health systems are often fragmented in low- and middle-income countries (LMICs). This can increase inefficiencies and restrict progress towards universal health coverage. The objective of the systematic review described in this protocol will be to evaluate and synthesize the evidence concerning the impacts of health systems financing fragmentation in LMICs.

Literature searches will be conducted in multiple electronic databases, from their inception onwards, including MEDLINE, EMBASE, LILACS, CINAHL, Scopus, ScienceDirect, Scielo, Cochrane Library, EconLit, and JSTOR. Gray literature will be also targeted through searching OpenSIGLE, Google Scholar, and institutional websites (e.g., HMIC, The World Bank, WHO, PAHO, OECD). The search strings will include keywords related to LMICs, health system financing fragmentation, and health system goals. Experimental, quasi-experimental, and observational studies conducted in LMICs and examining health financing fragmentation across any relevant metric (e.g., the presence of different health funders/insurers, risk pooling mechanisms, eligibility categories, benefits packages, premiums) will be included.