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ConCerv: a potential tryout regarding traditional surgery pertaining to low-risk early-stage cervical cancer malignancy.
Despite improvements in health care in Togo, the maternal mortality rate remains high, and regional antenatal care and facility-based deliveries are limited. The aim of this study is to measure socioe-conomic inequality in maternal health care (MHC) utilization during pregnancy and delivery.

The data were obtained from the last two rounds of the 1998 and 2013 Togo Demographic and Health Survey. Concentration index, concentration curve and logistic regression were used to measure and examine socio-economic inequality in antenatal care and facility-based deliveries.

The concentration indices for antenatal visits and facility-based deliveries were 0.142 and 0.246 in 1998 and 0.129 and 0.159 in 2013, indicating inequality bias towards the rich in both. Household wealth status and women's education were the most significant contributors to inequality in antenatal visits and facility-based deliveries. In 2013, household economic status contributed approximately 75.66% of the inequality in facility-based delivnd reproductive education. Our results suggest that the use of MHC can be increased by broadening health insurance to include exemptions for poor and rural households.Fibro/adipogenic progenitors (FAPs) are the main cellular source of fatty degeneration in muscle injury; however, the underlying mechanism of FAP adipogenesis in muscle degeneration needs to be further examined. Matrix metalloproteinase 14 (MMP-14) has been reported to induce the adipogenesis of 3T3-L1 preadipocytes, but whether MMP-14 also regulates the differentiation of FAPs remains unclear. To investigate whether and how MMP-14 regulates FAP adipogenesis and fatty infiltration in muscle degeneration, we examined MMP-14 expression in degenerative muscles and tested the effect of MMP-14 on FAP adipogenesis in vitro and in vivo. As expected, MMP-14 enhanced FAP adipogenesis and fatty infiltration in degenerative muscles; moreover, blocking endogenous MMP-14 in injured muscles facilitated muscle repair. Further investigations revealed that Kruppel-like factor 6 (KLF6) was a transcription factor associated with MMP-14 and acted as an "on-off" switch in the differentiation of FAPs into adipocytes or myofibroblasts. Moreover, KLF6 was the target gene of miR-22-3p, which was downregulated during FAP adipogenesis both in vitro and in vivo, and overexpression of miR-22-3p markedly prevented FAP adipogenesis and attenuated fatty degeneration in muscles. Our study revealed that miR-22-3p/KLF6/MMP-14 is a novel pathway in FAP adipogenesis and that inhibiting KLF6 is a potential strategy for the treatment of muscular degenerative diseases.Assembly of microbial communities is shaped by various physical and chemical factors deriving from their environment, including other microbes inhabiting the certain niche. In addition to direct cell-cell contacts, primary and secondary metabolites impact the growth of microbial community members. Metabolites might act as growth-promoting (e.g., cross-feeding), growth-inhibiting (e.g., antimicrobials) or signalling molecules. In multi-species microbial assemblies, secreted metabolites might influence specific members of the community, altering species abundances and therefore the functioning of these microcosms. In the current issue, Cosetta and colleagues describe a unique volatile metabolite-mediated cross-kingdom interaction that shapes the cheese rind community assembly. The study paves the way of our understanding how fungus-produced volatile compounds promote the growth of a certain bacterial genus, a principal connection between community members of the cheese rind.Decision analysis and risk analysis have grown up around a set of organizing questions what might go wrong, how likely is it to do so, how bad might the consequences be, what should be done to maximize expected utility and minimize expected loss or regret, and how large are the remaining risks? In probabilistic causal models capable of representing unpredictable and novel events, probabilities for what will happen, and even what is possible, cannot necessarily be determined in advance. Standard decision and risk analysis questions become inherently unanswerable ("undecidable") for realistically complex causal systems with "open-world" uncertainties about what exists, what can happen, what other agents know, and how they will act. Recent artificial intelligence (AI) techniques enable agents (e.g., robots, drone swarms, and automatic controllers) to learn, plan, and act effectively despite open-world uncertainties in a host of practical applications, from robotics and autonomous vehicles to industrial engineering, transportation and logistics automation, and industrial process control. This article offers an AI/machine learning perspective on recent ideas for making decision and risk analysis (even) more useful. It reviews undecidability results and recent principles and methods for enabling intelligent agents to learn what works and how to complete useful tasks, adjust plans as needed, and achieve multiple goals safely and reasonably efficiently when possible, despite open-world uncertainties and unpredictable events. In the near future, these principles could contribute to the formulation and effective implementation of more effective plans and policies in business, regulation, and public policy, as well as in engineering, disaster management, and military and civil defense operations. They can extend traditional decision and risk analysis to deal more successfully with open-world novelty and unpredictable events in large-scale real-world planning, policymaking, and risk management.Human milk oligosaccharides (HMOs) are a complex group of bioactive molecules largely observed in human breast milk but also occurring in limited amounts in other mammalian milks. Advances in biotechnology have enabled production of human-identical milk oligosaccharides (HiMOs), structurally identical molecules to HMOs found naturally in human milk, intended for addition to infant formula to more closely replicate breast milk. Biosynthesis of a novel mixture of two major HMOs, lacto-N-fucopentaose I and 2'-fucosyllactose (LNFP-I/2'-FL), recently became possible. To support the safety of LNFP-I/2'-FL for use in infant formula and other foods, it was subject to a safety assessment comprising a bacterial reverse mutation test, an in vitro mammalian cell micronucleus test, and a 90-day oral gavage study in neonatal rats. learn more In the 90-day study (the first HiMO study to include the new endocrine-sensitive endpoints described in the 2018 version of OECD Test Guideline 408), LNFP-I/2'-FL was administered by oral gavage to neonatal rats once daily (from Day 7 of age) for 90 consecutive days, at doses up to 5000 mg/kg bw/day, followed by a 4-week recovery period.
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