Results 111 to 120 of about 963,400 (342)

Commentary on Child Welfare Waivers: The Stakes for Families [PDF]

, 2011
The purpose of this piece is to provide commentary of an article, Child Welfare Waivers: The Stakes for Your State, that discusses the recent reauthorization of the Title IV-E Child Welfare Waivers. The article provides an overview of funds available to
Smith, Stephanie
core   +1 more source

TREX1, a predator for treating MSI‐H tumors?

Molecular Oncology, EarlyView.
Immunotherapy benefits many patients; yet, some with MSI‐H tumors remain unresponsive despite their high immunogenicity. Xu et al. reveal that TREX1 enables immune evasion by degrading cytosolic DNA and suppressing cGAS–STING–IFN‐I signaling. TREX1 loss restores DNA sensing, increases CD8+ T and NK cell infiltration, and boosts antitumor immunity ...
Elena Benidovskaya, Joséphine Deneft, Marc Van den Eynde   +2 more
wiley   +1 more source

Interventions in child welfare: A Swedish inventory [PDF]

, 2022
Martin Bergström, Knut Sundell, Tina M. Olsson, Lina Leander, Therese Åström   +4 more
openalex   +1 more source

Developing evidence‐based, cost‐effective P4 cancer medicine for driving innovation in prevention, therapeutics, patient care and reducing healthcare inequalities

Molecular Oncology, EarlyView.
The cancer problem is increasing globally with projections up to the year 2050 showing unfavourable outcomes in terms of incidence and cancer‐related deaths. The main challenges are prevention, improved therapeutics resulting in increased cure rates and enhanced health‐related quality of life.
Ulrik Ringborg, Joachim von Braun, Julio Celis, Anton Berns, Michael Baumann, Tit Albreht, Nancy Abou‐Zeid, Vanderlei Bagnato, Christian Brandts, Chien‐Jen Chen, Massimiliano di Pietro, Manjit Dosanjh, Thomas Dubois, Alexander Eggermont, Angelika Eggert, Ingemar Ernberg, Sara Faithfull, Johannes Förner, Stefan Fröhling, Manuel Heitor, Leroy Hood, Wei Jiang, Bengt Jönsson, Ravi Kannan, Maria Leptin, Su Li, Peter Lindgren, Douglas Lowy, Jun Ma, Alex Markham, Péter Nagy, Simon Oberst, M. Iqbal Parker, Danielle Rodin, Kevin Ryan, Joachim Schüz, Richard Sullivan, Josep Tabernero, Peter Turkson, Oliver Várhelyi, Harold Varmus, Chijie Wang, Elisabete Weiderpass, Nils Wilking   +43 more
wiley   +1 more source

Children with autism spectrum disorder in high technology medicine environments; a qualitative systematic review of parental perspectives

Systematic Reviews
Background Children with autism spectrum disorders are frequent visitors to high technology environments, and their needs may differ from those of their typically developed peers.
Emelie Pettersson, Berit Møller Christensen, Ingalill Gimbler Berglund, Elisabeth Nylander, Karina Huus   +4 more
doaj   +1 more source

Randomized and Quasi-Experimental Evaluations of Program Impact in Child Welfare in Canada: A Review [PDF]

, 2006
Robert J. Flynn, Danielle R. B̀ouchard
openalex   +1 more source

The Transition from Welfare to Work [PDF]

We consider the effects the child care market, early care and education programs, and welfare reforms have on welfare recipients’ transition from welfare to work. Using 1996-1997 data for Massachusetts, we find that the availability and quality of formal
Ann Dryden White, Robert J. Lemke, Robert Witt   +2 more
core  

Synthesis of Research on Disproportionality in Child Welfare: An Update [PDF]

, 2006
Examines the disproportionate representation of minority children in child welfare and summarizes current research findings on racial disparities in treatment and services within the child welfare ...
Robert B. Hill
core  

PARP inhibition and pharmacological ascorbate demonstrate synergy in castration‐resistant prostate cancer

Molecular Oncology, EarlyView.
Pharmacologic ascorbate (vitamin C) increases ROS, disrupts cellular metabolism, and induces DNA damage in CRPC cells. These effects sensitize tumors to PARP inhibition, producing synergistic growth suppression with olaparib in vitro and significantly delayed tumor progression in vivo. Pyruvate rescue confirms ROS‐dependent activity.
Nicolas Gordon, Peter T. Gallagher, Orly I. Richter, Neermala Poudel Neupane, Amy C. Mandigo, Jennifer J. McCann, Emanuela Dylgjeri, Irina Vasilevskaya, Christopher McNair, Channing J. Paller, Wm. Kevin Kelly, Karen E. Knudsen, Matthew J. Schiewer, Ayesha A. Shafi   +13 more
wiley   +1 more source

Development of a machine learning model to identify the predictors of the neonatal intensive care unit admission

Scientific Reports
Scientists aim to create a system that can predict the likelihood of newborns being admitted to the neonatal intensive care unit (NICU) by combining various statistical methods.
Narges Malakooti, Vahid Mehrnoush, Fatemeh Abdi, Mohammad Sadegh Vahidi Farashah, Fatemeh Darsareh   +4 more
doaj   +1 more source