Assessment of Services Available for Children Exposed to Intimate Partner Violence in Anchorage, Alaska

The Cook Inlet Tribal Council (CITC) plans to expand services provided under its Flourishing Child initiative, and requested an assessment of service needs for children in the Anchorage area that are exposed to intimate partner violence (IPV). Specifically, CITC wishes to know if the proposed expansion of Flourishing Child services will satisfy an unmet need in the community. This assessment includes a brief introduction and review of related concepts, and an assessment of services available within the Municipality of Anchorage.Cook Inlet Tribal Council, Child and Family Services DivisionIntroduction / Definition: Intimate Partner Violence / Exposure of children to IPV / Prevalence of children exposed to IPV / Effects of exposure of children to IPV / Interventions and services for Children exposed to IPV / Services available in Anchorage, Alaska / Conclusion / Reference

Repeat Maltreatment in Alaska: Assessment and Exploration of Alternative Measures

Most deaths and serious injuries among children who are abused or neglected are preceded by multiple reported instances of maltreatment. The Office of Children Services (OCS), Alaska’s child protection agency, is very concerned about repeat maltreatment. It’s extremely damaging to children and demoralizing to everyone who tries to help prevent it. Over the last several years, Alaska has consistently had among the highest rates in the country of repeat child maltreatment, as reported by the Children’s Bureau of the U.S. Department of Health and Human Services. Those federal figures measure the percentage of children who were the victims of at least two substantiated reports—that is, confirmed reports—of maltreatment within six months. In 2009, nearly 10% of children who were the subjects of investigation by OCS were reported as suffering repeat maltreatment, compared with less than 6% nationwide. By 2013, the share in Alaska was at nearly 13%, compared with a national rate of less than 5.5% (Figure S-1). But even those grim federal statistics don’t provide a complete picture of repeat child maltreatment in Alaska. Many analysts believe that not all cases where maltreatment may have occurred are substantiated, and that maltreatment of a child may be reported a number of times, over a longer period, before it is substantiated. Also, for various reasons, many reports of maltreatment are not investigated at all, in Alaska and other states, and only a small share of those that are investigated are substantiated. For example, in Alaska in 2013, 42% of reports in an average month were not investigated, and only 12% of reports were substantiatedExecutive Summary / Introduction / Definition of repeat maltreatment: some challenges / Data / Findings / Varying the indicator / Varying time periods / Demographics of repeatedly maltreated children / Discussion / Limitations and suggestions for future research / Conclusion / Reference

Trends in Age, Gender, and Ethnicity Among Children in Foster Care in Alaska

In Alaska, as in every other state, people who suspect children are being abused or neglected can contact the designated child protection agency. In Alaska, that agency is the Office of Children Services (OCS). It is responsible for investigating all reported incidents and determining the level of risk to the health, safety, and welfare of children. In a number of instances, children will be removed from their families and homes due to unsafe conditions, and they are often placed in foster care. 1 Being taken away from their families is of course traumatizing for children. The number of American children in foster care at any time, and the length of time they spend in foster care, has been closely watched over the last several decades. Several changes in policy and practice were introduced in the last 20 years, at national and state levels, to reduce both the number of children in foster care and the length of time they stay in foster care. These changes caused some dramatic trends at the national level: the number of children in foster care in the U.S. declined by almost a quarter (23.7%) between 2002 and 2012, with the decline being most pronounced among AfricanAmerican children (47.1%). As of 2012, African-American children made up 26% of all children in foster care nationwide, down from 37% a decade earlier. But during the same period, the proportion of children in foster care classified as belonging to two or more races almost doubled. And American Indian/Alaska Native children are the highest represented ethnic group among foster children—13 of every 1,000 American Indian/Alaska Native children in the U.S. were in foster care in 2012. In contrast, no such dramatic changes happened in Alaska in recent years. This paper reports on foster children in Alaska by age, gender, race, and region over the period 2006-2013. This information is important for state policymakers working to better protect abused and neglected children. At the end of the paper we discuss questions the data raise and describe additional data needed to better help children in foster care in Alaska. We compiled data for this analysis from monthly reports of key indicators on foster children in the state. OCS publishes monthly data on select indicators (Alaska State Statutes 2011, Monthly reports concerning children, AK. Stat. § 47.05.100), in PDF format on its website (http://dhss.alaska.gov/ocs/Pages/statistics/default.aspx). Data presented here are snapshots in time and do not follow unique children over time.Introduction / Summary of findings / How many children are in foster care, and where are they from? / How old are the children in foster care? / Boys or girls: Who is more likely to be in foster care? / Are Alaska Native children over-represented among children in foster care? / Discussion / Limitations / Note on population of OCS regions / Acknowledgement

REinforcement learning based Adaptive samPling: REAPing Rewards by Exploring Protein Conformational Landscapes

One of the key limitations of Molecular Dynamics simulations is the computational intractability of sampling protein conformational landscapes associated with either large system size or long timescales. To overcome this bottleneck, we present the REinforcement learning based Adaptive samPling (REAP) algorithm that aims to efficiently sample conformational space by learning the relative importance of each reaction coordinate as it samples the landscape. To achieve this, the algorithm uses concepts from the field of reinforcement learning, a subset of machine learning, which rewards sampling along important degrees of freedom and disregards others that do not facilitate exploration or exploitation. We demonstrate the effectiveness of REAP by comparing the sampling to long continuous MD simulations and least-counts adaptive sampling on two model landscapes (L-shaped and circular), and realistic systems such as alanine dipeptide and Src kinase. In all four systems, the REAP algorithm consistently demonstrates its ability to explore conformational space faster than the other two methods when comparing the expected values of the landscape discovered for a given amount of time. The key advantage of REAP is on-the-fly estimation of the importance of collective variables, which makes it particularly useful for systems with limited structural information

Checking T and CPT violation with sterile neutrino

Post LSND results, sterile neutrinos have drawn attention and motivated the high energy physics, astronomy and cosmology to probe physics beyond the standard model considering minimal 3+1 (3 active and 1 sterile) to 3+N neutrino schemes. The analytical equations for neutrino conversion probabilities are developed in this work for 3+1 neutrino scheme. Here, we have tried to explore the possible signals of T and CPT violations with four flavor neutrino scheme at neutrino factory. Values of sterile parameters considered in this analysis are taken from two different types of neutrino experiments viz. long baseline experiments and reactor+atmospheric experiments. In this work golden and discovery channels are selected for the investigation of T violation. While observing T violation we stipulate that neutrino factory working at 50 GeV energy have the potential to observe the T violation signatures for the considered range of baselines(3000 km-7500 km). The ability of neutrino factory for constraining CPT violation is enhanced with increase in energy for normal neutrino mass hierarchy(NH). Neutrino factory with the exposure time of 500 kt-yr will be able to capture CPT violation with $\delta c_{31}\geq 3.6\times10^{-23}$ GeV at 3$\sigma$ level for NH and for IH with $\delta c_{31}\geq 4\times10^{-23}$ GeV at 3$\sigma$ level

Country focus: India

Midway through his five-year term, Narendra Modi remains popular but the Hindu nationalist Prime Minister faces the challenge of delivering on his campaign promises. Rekha Diwakar reports on the world’s most diverse – and largest – democracy

Denovo synthesized fatty acids as regulators of milk fat synthesis

The objectives of the dissertation research were to determine the role of denovo synthesized fatty acids (DNFA) in the regulation of milk fat synthesis. Milk fat responses to increasing amounts of short- and medium-chain fatty acids (SMCFA), added in the proportion as synthesized denovo, were studied in lactating dairy cows. The results showed a significant linear increase in milk fat concentration with SMCFA supplementation. However, milk fat yield was similar for all treatments. A subsequent study was aimed at increasing the availability of SMCFA during trans-10, cis-12 CLA-induced milk fat depression (MFD) in lactating dairy cows to determine whether SMCFA can rescue part of CLA-induced MFD. Post-ruminal infusion of butterfat (BF) was used as a source of SMCFA. The BF treatment was compared to a mixture of fats containing only the long-chain FA (LCFA) with or without trans-10, cis-12 CLA infusion. Milk fat content and yield were significantly reduced with trans-10, cis-12 CLA. However, increased availability of SMCFA with BF infusion had no effects on milk fat yield and concentration. Trans-10, cis-12 CLA significantly reduced the mRNA expression of transcription factor SREBP-1c along with its downstream targets including ACC,FASN, LPL, SCD and AGPAT. The increased availability of SMCFA had no effect on either lipogenic gene or protein expression suggesting that nutritional manipulation was not sufficient to rescue trans-10, cis-12 CLA-induced MFD. Finally, the effects of combination of a Rosiglitazone (ROSI), a PPAR-γ agonist, and trans-10, cis-12 CLA were examined on mammary and hepatic lipogenesis in lactating mice. Mammary lipogenesis was significantly reduced with trans-10, cis-12 CLA, reducing the milk fat content and mRNA expression of lipogenic transcription factors SREBP1-c and PPAR- γ. Trans-10, cis-12 CLA significantly increased hepatic lipid accumulation, while the mRNA expression of SREBP1-c and PPAR- γ were not altered. On the contrary, ROSI had no effects on mammary lipogenesis. However, ROSI significantly rescued trans-10, cis-12 CLA-induced hepatic steatosis