Child protection and maltreatment in the Philippines: A systematic review of the literature

To gain a better understanding of the dimensions, characteristics and phenomenon of child maltreatment and its policy responses in the Philippines, this article provides a systematic review of the peer reviewed literature. This review provides a summary and analysis of the core child maltreatment issues in the Philippines and examines child protection policy responses. It takes a systematic approach, identifying 31 peer reviewed articles from a diverse range of scholarship that met its criteria, and subjected to a quality appraisal tool. Its findings provide important details about child maltreatment and child protection arrangements in the Philippines. It recommends further research into policy and programmatic approaches to child maltreatment, a greater focus on the social, cultural and structural influences on child maltreatment, and investigation into child maltreatment, particularly child sexual abuse, in contexts outside of the home, such as in institutions

Curriculum online: final report

The Department for Education and Skills (DfES) commissioned NatCen and the University of Bristol to conduct a four-year evaluation of curriculum online, beginning in 2002. This is the final evaluation report for the programme, reviewing outcomes from the research

Safe and Sound : Creating safe residential care services for children and young people

ssue 18 of the ICPS Research to Practice series explores the development of safe residential services for children and young people, and discusses the factors preventing them from seeking support for safety concerns, strategies for preventing harm, and responding to safety concerns. It is based on a study conducted by ICPS, and colleagues from Griffith University and Queensland University of Technology, for the Royal Commission into Institutional Responses to Child Sexual Abuse, which interviewed 27 children and young people with lived experience of residential care in Australia. More information about the project is provided at the end of the issu

Children's participation in child protection—How do practitioners understand children's participation in practice?

Children's participation is essential to achieve good outcomes for children involved in child protection systems. Despite this, research has consistently found children report low levels of participation, are poorly consulted and feel inadequately involved in decisions about their lives. To explore how practitioners understand children's participation, 18 in-depth interviews were conducted with statutory child protection practitioners in Australia. The interviews explored the ways child protection practitioners understand children's participation. Our findings show practitioners conceptualize children as rights holders and believe it is essential to hear directly from children about their needs and wishes to keep them safe. Practitioners identified the importance of transparent processes and decisions. Different understanding of participation emerged, with some participants talking about children as their central focus but not discussing meaningful participation of the child. It appeared that children's participation relied largely on the views and skills of individual workers, as well as their ability to incorporate meaningful participation in limited time and in complex practice environments where children's safety is a primary concern. Systemic changes to address time barriers, training practitioners to understand and implement participatory practice, and seeking children's input into service design, will support consistent and meaningful participation

A Relational Frame Training Intervention to Raise Intelligence Quotients: A Pilot Study

The current research consisted of 2 studies designed to test the effectiveness of automated multiple-exemplar relational training in raising children’s general intellectual skills. In Study 1, 4 participants were exposed to multiple exemplar training in stimulus equivalence and the relational frames of SAME, OPPOSITE, MORE THAN, and LESS THAN across several sessions and weeks. WISC (III-UK) measures were taken at baseline, following stimulus equivalence training, and again following relational frame training. Matched against a no-treatment control group, experimental participants showed significant improvements in full-scale IQ following stimulus equivalence training, and a further significant rise following relational frame training. Study 2 administered an improved multiple-exemplar-based relational frame training intervention to 8 children with a range of educational and behavioral difficulties. In 7 of the 8 cases, full-scale IQ as measured by the WISC (IV-UK) rose by at least 1 SD; the improvement was statistically significant at the group level. These data have important implications for the behavioral analysis of intellectual skills and suggest the basis of an intervention to improve general cognitive functioning

A Relational Frame Training Intervention to Raise Intelligence Quotients: A Pilot Study

The current research consisted of 2 studies designed to test the effectiveness of automated multiple-exemplar relational training in raising children’s general intellectual skills. In Study 1, 4 participants were exposed to multiple exemplar training in stimulus equivalence and the relational frames of SAME, OPPOSITE, MORE THAN, and LESS THAN across several sessions and weeks. WISC (III-UK) measures were taken at baseline, following stimulus equivalence training, and again following relational frame training. Matched against a no-treatment control group, experimental participants showed significant improvements in full-scale IQ following stimulus equivalence training, and a further significant rise following relational frame training. Study 2 administered an improved multiple-exemplar-based relational frame training intervention to 8 children with a range of educational and behavioral difficulties. In 7 of the 8 cases, full-scale IQ as measured by the WISC (IV-UK) rose by at least 1 SD; the improvement was statistically significant at the group level. These data have important implications for the behavioral analysis of intellectual skills and suggest the basis of an intervention to improve general cognitive functioning

Efficient Computation with Sparse and Dense Polynomials

Computations with polynomials are at the heart of any computer algebra system and also have many applications in engineering, coding theory, and cryptography. Generally speaking, the low-level polynomial computations of interest can be classified as arithmetic operations, algebraic computations, and inverse symbolic problems. New algorithms are presented in all these areas which improve on the state of the art in both theoretical and practical performance. Traditionally, polynomials may be represented in a computer in one of two ways: as a "dense" array of all possible coefficients up to the polynomial's degree, or as a "sparse" list of coefficient-exponent tuples. In the latter case, zero terms are not explicitly written, giving a potentially more compact representation. In the area of arithmetic operations, new algorithms are presented for the multiplication of dense polynomials. These have the same asymptotic time cost of the fastest existing approaches, but reduce the intermediate storage required from linear in the size of the input to a constant amount. Two different algorithms for so-called "adaptive" multiplication are also presented which effectively provide a gradient between existing sparse and dense algorithms, giving a large improvement in many cases while never performing significantly worse than the best existing approaches. Algebraic computations on sparse polynomials are considered as well. The first known polynomial-time algorithm to detect when a sparse polynomial is a perfect power is presented, along with two different approaches to computing the perfect power factorization. Inverse symbolic problems are those for which the challenge is to compute a symbolic mathematical representation of a program or "black box". First, new algorithms are presented which improve the complexity of interpolation for sparse polynomials with coefficients in finite fields or approximate complex numbers. Second, the first polynomial-time algorithm for the more general problem of sparsest-shift interpolation is presented. The practical performance of all these algorithms is demonstrated with implementations in a high-performance library and compared to existing software and previous techniques