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Trajectories of maternal symptoms of posttraumatic stress disorder predict long-term mental health of children following the Wenchuan earthquake in China : A 10-year follow-up study

Background: Maternal psychopathology can be an important factor associated with psychological adjustment of children. However, there is limited research on long-term impacts of maternal posttraumatic stress disorder (PTSD) on children's mental health. This study examined how PTSD trajectories of women exposed to the 2008 Wenchuan earthquake in China predicted their children's mental health symptom

A clinical diagnostic algorithm for early onset cerebellar ataxia

Early onset cerebellar Ataxia (EOAc) comprises a large group of rare heterogeneous disorders. Determination of the underlying etiology can be difficult given the broad differential diagnosis and the complexity of the genotype–phenotype relationships. This may change the diagnostic work-up into a time-consuming, costly and not always rewarding task. In this overview, the Childhood Ataxia and Cerebe

Identification of human D lactate dehydrogenase deficiency

Phenotypic and biochemical categorization of humans with detrimental variants can provide valuable information on gene function. We illustrate this with the identification of two different homozygous variants resulting in enzymatic loss-of-function in LDHD, encoding lactate dehydrogenase D, in two unrelated patients with elevated D-lactate urinary excretion and plasma concentrations. We establish

Movement disorders and nonmotor neuropsychological symptoms in children and adults with classical galactosemia

Although movement disorders (MDs) are known complications, the exact frequency and severity remains uncertain in patients with classical galactosemia, especially in children. We determined the frequency, classification and severity of MDs in a cohort of pediatric and adult galactosemia patients, and assessed the association with nonmotor neuropsychological symptoms and daily functioning. Patients

A Comparative Study of Four Metaheuristic Algorithms, AMOSA, MOABC, MSPSO, and NSGA-II for Evacuation Planning

Evacuation planning is an important activity in disaster management to reduce the effects of disasters on urban communities. It is regarded as a multi-objective optimization problem that involves conflicting spatial objectives and constraints in a decision-making process. Such problems are difficult to solve by traditional methods. However, metaheuristics methods have been shown to be proper solut

Application of remote sensing techniques and machine learning algorithms in dust source detection and dust source susceptibility mapping

The aim of this research was to develop a method to produce a Dust Source Susceptibility Map (DSSM). For this purpose, we applied remote sensing and statistical-based machine learning algorithms for experimental dust storm studies in the Khorasan Razavi Province, in north-eastern Iran. We identified dust sources in the study area using MODIS satellite images during the 2005–2016 period. For dust s

Recommendations for patient screening in ultra-rare inherited metabolic diseases : What have we learned from Niemann-Pick disease type C?

Background: Rare and ultra-rare diseases (URDs) are often chronic and life-threatening conditions that have a profound impact on sufferers and their families, but many are notoriously difficult to detect. Niemann-Pick disease type C (NP-C) serves to illustrate the challenges, benefits and pitfalls associated with screening for ultra-rare inborn errors of metabolism (IEMs). A comprehensive, non-sys

Eye movement disorders and neurological symptoms in late-onset inborn errors of metabolism

Inborn errors of metabolism in adults are still largely unexplored. Despite the fact that adult-onset phenotypes have been known for many years, little attention is given to these disorders in neurological practice. The adult-onset presentation differs from childhood-onset phenotypes, often leading to considerable diagnostic delay. The identification of these patients at the earliest stage of dise

Progressive myoclonus ataxia : Time for a new definition?

Background: The clinical demarcation of the syndrome progressive myoclonus ataxia is unclear, leading to a lack of recognition and difficult differentiation from other neurological syndromes. Objectives: The objective of this study was to apply a refined definition of progressive myoclonus ataxia and describe the clinical characteristics in patients with progressive myoclonus ataxia and with isola

Reversal of status dystonicus after relocation of pallidal electrodes in DYT6 generalized dystonia

Background: DYT6 dystonia can have an unpredictable clinical course and the result of deep brain stimulation (DBS) of the internal part of the globus pallidus (GPi) is known to be less robust than in other forms of autosomal dominant dystonia. Patients who had previous stereotactic surgery with insufficient clinical benefit form a particular challenge with very limited other treatment options avai

Expanding the ADCY5 phenotype toward spastic paraparesis : Amutation in the M2 domain

Patients with an ADCY5 gene mutation reveal a heterogenous clinical presentation including axial hypotonia, motor milestone delay, fluctuating dyskinesias, dystonia, and/or myoclonus with episodic exacerbations during drowsiness and sleep.1,2 Phenotype-genotype correlations and somatic mosaicism are suggested to explain the wide phenotypic spectrum.1 The ADCY5 gene encodes 1 of 9 membrane-bound ad

A preliminary study of telemedicine for patients with hepatic glycogen storage disease and their healthcare providers : from bedside to home site monitoring

Background: The purpose of this project was to develop a telemedicine platform that supports home site monitoring and integrates biochemical, physiological, and dietary parameters for individual patients with hepatic glycogen storage disease (GSD). Methods and results: The GSD communication platform (GCP) was designed with input from software developers, GSD patients, researchers, and healthcare p

Treatable inherited rare movement disorders

There are many rare movement disorders, and new ones are described every year. Because they are not well recognized, they often go undiagnosed for long periods of time. However, early diagnosis is becoming increasingly important. Rapid advances in our understanding of the biological mechanisms responsible for many rare disorders have enabled the development of specific treatments for some of them.

Power and politics in plastics research : A critique of ‘Whither plastics? petrochemicals, plastics and sustainability in a garbage-riddled world’

The article ‘Whither Plastics?—Petrochemicals, plastics and sustainability in a garbage-riddled world’ discusses a number of recent issues around plastics, including plastics’ dependence on fossil fuels, its contribution to ocean waste, and its possible impact on human health [M. Jefferson, “Whither plastics?—Petrochemicals, plastics and sustainability in a garbage-riddled world,” Energy Res. Soc.

Ketogenic Diet in Refractory Childhood Epilepsy : Starting With a Liquid Formulation in an Outpatient Setting

Background: Ketogenic diet in children with epilepsy has a considerable impact on daily life and is usually adopted for at least 3 months. Our aim was to evaluate whether the introduction of an all-liquid ketogenic diet in an outpatient setting is feasible, and if an earlier assessment of its efficacy can be achieved.Methods: The authors conducted a prospective, observational study in a consecutiv

Crossing barriers : a multidisciplinary approach to children and adults with young-onset movement disorders

Background: Diagnosis of less common young-onset movement disorders is often challenging, requiring a broad spectrum of skills of clinicians regarding phenotyping, normal and abnormal development and the wide range of possible acquired and genetic etiologies. This complexity often leads to considerable diagnostic delays, paralleled by uncertainty for patients and their families. Therefore, we hypo

Learning by similarity-weighted imitation in winner-takes-all games

We study a simple model of similarity-based global cumulative imitation in symmetric games with large and ordered strategy sets and a salient winning player. We show that the learning model explains behavior well in both field and laboratory data from one such “winner-takes-all” game: the lowest unique positive integer game in which the player that chose the lowest number not chosen by anyone else