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Improving compliance with swallowing exercise to decrease radiotherapy-related dysphagia in patients with head and neck cancerDysphagia, one of the most common complications in head and neck cancer (HNC) treated with radiotherapy, can severely affect patients’ quality of life. Currently, because no “gold standard” treatment exists, swallowing exercise remains the main rehabilitation strategy for dysphagia. However, patients’ compliance with long-term swallowing exercise is only 40%, thus, greatly compromising outcomes. This article aims to analyze thefactors influencing swallowing exercise compliance in patients with HNC and explains strategies developed to date for improved rehabilitation outcomes.
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Techniques and Processes Involved in Nanoencapsulation of Omega-3, -6, and -9 Fatty AcidsOmega fatty acids are essential for young children’s growth and development. They also have essential functions in cell receptors of membranes and regulation of hormones synthesis. Essential fatty acids such as omega-3 and -6 can only be obtained through food mainly fish and other seafood and to a lesser extent through nuts, seeds, and plant oils.
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Status and Trends of Physical Activity Surveillance, Policy, and Research in 164 Countries: Findings From the Global Observatory for Physical Activity-GoPA! 2015 and 2020 SurveysPhysical activity (PA) surveillance, policy, and research efforts need to be periodically appraised to gain insight into national and global capacities for PA promotion. The aim of this paper was to assess the status and trends in PA surveillance, policy, and research in 164 countries.
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Developing fit-for-purpose funding models for rural settings: Lessons from the evaluation of a step-up/step-down service in regional AustraliaSub-acute mental health community services provide a bridging service between hospital and community care. There is limited understanding of the local factors that influence success, and of the funding implications of delivering services in rural areas.
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Hospitalizations from Birth to 28 Years in a Population Cohort of Individuals Born with Five Rare Craniofacial Anomalies in Western AustraliaTo describe trends, age-specific patterns, and factors influencing hospitalizations for 5 rare craniofacial anomalies.
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Down syndrome or Rett syndrome in the family: Parental reflections on sibling experienceSiblings of children with intellectual disability have unique family experiences, varying by type of disability.
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Arriving at the empirically based conceptualization of restricted and repetitive behaviors: A systematic review and meta-analytic examination of factor analysesAn empirically based understanding of the factor structure of the restricted and repetitive behaviors (RRB) domain is a prerequisite for interpreting studies attempting to understand the correlates and mechanisms underpinning RRB and for measurement development. Therefore, this study aimed to conduct a systematic review and meta-analysis of RRB factor analytic studies.
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Kindy Moves: the feasibility of an intensive interdisciplinary programme on goal and motor outcomes for preschool-aged children with neurodisabilities requiring daily equipment and physical assistanceTo determine the feasibility of an intensive interdisciplinary programme in improving goal and motor outcomes for preschool-aged children with non-progressive neurodisabilities. The primary hypothesis was that the intervention would be feasible.
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Copy number variation in tRNA isodecoder genes impairs mammalian development and balanced translationThe number of tRNA isodecoders has increased dramatically in mammals, but the specific molecular and physiological reasons for this expansion remain elusive. To address this fundamental question we used CRISPR editing to knockout the seven-membered phenylalanine tRNA gene family in mice, both individually and combinatorially.
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Gene filtering strategies for machine learning guided biomarker discovery using neonatal sepsis RNA-seq dataMachine learning (ML) algorithms are powerful tools that are increasingly being used for sepsis biomarker discovery in RNA-Seq data. RNA-Seq datasets contain multiple sources and types of noise (operator, technical and non-systematic) that may bias ML classification. Normalisation and independent gene filtering approaches described in RNA-Seq workflows account for some of this variability and are typically only targeted at differential expression analysis rather than ML applications.