Brain GABA and Glutamate Concentrations Following Chronic Gabapentin Administration: A Convenience Sample Studied During Early Abstinence From Alcohol.

Gabapentin (GBP), a GABA analog that may also affect glutamate (Glu) production, can normalize GABA and Glu tone during early abstinence from alcohol, effectively treating withdrawal symptoms and facilitating recovery. Using in vivo magnetic resonance spectroscopy, we tested the degree to which daily GBP alters regional brain GABA and Glu levels in short-term abstinent alcohol-dependent individuals. Regional metabolite levels were compared between 13 recently abstinent alcohol-dependent individuals who had received daily GBP for at least 1 week (GBP+) and 25 matched alcohol-dependent individuals who had not received GBP (GBP-). Magnetic resonance spectra from up to five different brain regions were analyzed to yield absolute GABA and Glu concentrations. GABA and Glu concentrations in the parieto-occipital cortex were not different between GBP- and GBP+. Glu levels in anterior cingulate cortex, dorsolateral prefrontal cortex, and basal ganglia did not differ between GBP- and GBP+. However, in a subgroup of individuals matched on age, sex, and abstinence duration, GBP+ had markedly lower Glu in the frontal white matter (WM) than GBP-, comparable to concentrations found in light/non-drinking controls. Furthermore, lower frontal WM Glu in GBP+ correlated with a higher daily GBP dose. Daily GBP treatment at an average of 1,600 mg/day for at least 1 week was not associated with altered cortical GABA and Glu concentrations during short-term abstinence from alcohol, but with lower Glu in frontal WM. GBP for the treatment of alcohol dependence may work through reducing Glu in WM rather than increasing cortical GABA

A systematic review and meta-analysis of school and cognitive function domains of health-related quality of life measures for children and young adults with congenital heart disease

\ua9 2023 The Authors. Birth Defects Research published by Wiley Periodicals LLC.Background: Research on cognitive and school functioning domains of health-related quality of life (HRQOL) for children and adolescents with congenital heart disease (CHD) presents inconsistencies. Objectives: To summarize and synthesize data on school and cognitive function domains of HRQOL for children and young people (CYP) with CHD. Methods: Five electronic databases MEDLINE, Scopus, PsycINFO, EMBASE, ERI, and citations were systematically searched. We included original-research articles reporting the cognitive and school function domains of HRQOL for children and young people with CHD (child and parent reports included). Both fixed and random-effects meta-analyses were performed to estimate pooled mean test scores for cognitive and school function. A total of 34 studies met our inclusion criteria and were synthesized narratively, 17 studies were included in formal meta-analyses. Results: Self-reported cognitive function was lower for children and young people with CHD than healthy controls (SMD −0.28 (−0.42, −0.15)). Parental reports demonstrated similar results to self-reports (SMD −0.54 (−0.91, −0.18)). School function was lower in children and young people with CHD compared with healthy controls in self-reported (SMD −0.30 (−0.48, −0.13)) and parent reported HRQOL (SMD −0.49 (0.64, −0.36)). Self-reported school function domain scores were lower for young (<8 years) (SMD −0.65 (−1.32, 0.03)) and older children (8–18 years) (SMD −0.25 (−0.47, −0.03)) with CHD than their peers. Similarly, parents reported lower school function domain scores for young (<8 years) (SMD −0.68 (−1.29, −0.07)) and older (8–18 years) (SMD −0.46 (−068, −0.25)) children with CHD than typically developing peers. Conclusion: Children born with CHD may experience lower cognitive and school function HRQOL scores than healthy controls (self and proxy-report). This is consistent with a subgroup meta-analysis of young (<8 years) and older (8 years old or more) children with CHD reporting lower school function scores compared to controls

Identifying Retweetable Tweets with a Personalized Global Classifier

In this paper we present a method to identify tweets that a user may find interesting enough to retweet. The method is based on a global, but personalized classifier, which is trained on data from several users, represented in terms of user-specific features. Thus, the method is trained on a sufficient volume of data, while also being able to make personalized decisions, i.e., the same post received by two different users may lead to different classification decisions. Experimenting with a collection of approx.\ 130K tweets received by 122 journalists, we train a logistic regression classifier, using a wide variety of features: the content of each tweet, its novelty, its text similarity to tweets previously posted or retweeted by the recipient or sender of the tweet, the network influence of the author and sender, and their past interactions. Our system obtains F1 approx. 0.9 using only 10 features and 5K training instances.Comment: This is a long paper version of the extended abstract titled "A Personalized Global Filter To Predict Retweets", of the same authors, which was published in the 25th ACM UMAP conference in Bratislava, Slovakia, in July 201

Building the Full Fermion-Photon Vertex of QED by Imposing Multiplicative Renormalizability of the Schwinger-Dyson Equations for the Fermion and Photon Propagators

In principle, calculation of a full Green's function in any field theory requires knowledge of the infinite set of multi-point Green's functions, unless one can find some way of truncating the corresponding Schwinger-Dyson equations. For the fermion and boson propagators in QED this requires an {\it ansatz} for the full three point vertex. Here we illustrate how the properties of gauge invariance, gauge covariance and multiplicative renormalizability impose severe constraints on this fermion-boson interaction, allowing a consistent truncation of the propagator equations. We demonstrate how these conditions imply that the 3-point vertex {\bf in the propagator equations} is largely determined by the behaviour of the fermion propagator itself and not by knowledge of the many higher point functions. We give an explicit form for the fermion-photon vertex, which in the fermion and photon propagator fulfills these constraints to all orders in leading logarithms for massless QED, and accords with the weak coupling limit in perturbation theory at ${\cal O}(\alpha)$. This provides the first attempt to deduce non-perturbative Feynman rules for strong physics calculations of propagators in massless QED that ensures a more consistent truncation of the 2-point Schwinger-Dyson equations. The generalisation to next-to-leading order and masses will be described in a longer publication.Comment: 57 pages, 3 figure

The experience of children with disabilities and their families during the COVID-19 pandemic; what lessons can we learn?

COVID-19 has had serious, negative impacts on children’s health and development. But the impacts have not been felt equally; disabled children and their families have been hit particularly hard. In this paper we summarise UK legislation to limit the spread of the virus and describe how services to disabled children changed as a result. We discuss the long-term deleterious impacts of changes in service provision on the health and wellbeing of disabled children and the parent carers supporting them. We close with lessons learned for resetting services to support the ongoing recovery of children and their families and recommendations for delivering services better in future emergencies to ensure that disabled children’s health and wellbeing is maintained

Advanced Fiber-optic Monitoring System for Space-flight Applications

Researchers at Luna Innovations Inc. and the National Aeronautic and Space Administration s Marshall Space Flight Center (NASA MSFC) have developed an integrated fiber-optic sensor system for real-time monitoring of chemical contaminants and whole-cell bacterial pathogens in water. The system integrates interferometric and evanescent-wave optical fiber-based sensing methodologies with atomic force microscopy (AFM) and long-period grating (LPG) technology to provide versatile measurement capability for both micro- and nano-scale analytes. Sensors can be multiplexed in an array format and embedded in a totally self-contained laboratory card for use with an automated microfluidics platform

Assessing the Adequacy of the Physical, Social and Attitudinal Environment to the Specific Needs of Young Adults with Cerebral Palsy: the European Adult Environment Questionnaire

Objectives: To present the development of the European Adult Environment Questionnaire (EAEQ), to assess to what extent it covers the International Classification of Functioning, Disability and Health (ICF), and to describe the adequacy of the physical, social, and attitudinal environment to the specific needs of young adults with cerebral palsy (CP). Design: Cross-sectional. Setting: Administrative regions in France, Germany, Italy, Portugal, and Sweden. Participants: Young adults with CP (N=357), with varying severity profiles, aged 19-28 years at time of interview (2018-20). Interventions: Not applicable. Main Outcome Measure(s): Physical, social, and attitudinal environment unmet needs. Results: Relevant environmental factors (EFs) for young adults with CP were identified during focus groups in England and Portugal. EFs were mapped to the ICF environmental classification and the EAEQ analytical structure resulted from this linking procedure. It comprised 61 items, linked to 31 ICF environmental classification categories, and covered 4 of its 5 chapters. Content validity assessed with the bandwidth index (percentage coverage of ICF Core Sets for adults with CP) was satisfactory (79.3%). A descriptive analysis was carried out. Participants had a mean age of 24 years, 56% were men, 38% had severely limited mobility. Less than 16% reported unmet needs for EFs relating to home, college/work/day placement, and communication in the Products and technology chapter. Unmet needs were higher (>20%) for the other items in the Public use and Land development categories. Social support, attitudes, and understanding of relatives were often adequate to the participants’ needs. The proportion of unmet needs varied by sex (women were more often concerned) and raised with increasing gross motor impairment. Conclusion: The EAEQ describes in detail the adequacy of the environment to the specific needs of young adults with CP. Its ICF-based structure opens up possibilities for use in a universal conceptual framewor

Can S-LCA methodology support responsible sourcing of raw materials in EU policy context?

Purpose: Access, affordability and sustainability of raw material supply chains are crucial to the sustainable development of the European Union (EU) for both society and economy. The study investigates whether and how the social life cycle assessment (S-LCA) methodology can support responsible sourcing of raw materials in Europe. The potential of social indicators already available in an S-LCA database is tested for the development of new metrics to monitor social risks in raw material industries at EU policy level. Methods: The Product Social Impact Life Cycle Assessment (PSILCA) database was identified as a data and indicators source to assess social risks in raw material industries in EU-28 and extra-EU countries. Six raw material country sectors in the scope of the European policy on raw materials were identified and aggregated among those available in PSILCA. The selection of indicators for the assessment was based on the RACER (Relevance, Acceptance, Credibility, Ease, Robustness) analysis, leading to the proposal of 9 social impact categories. An S-LCA of the selected raw material industries was, thus, performed for the EU-28 region, followed by a contribution analysis to detect direct and indirect impacts and investigate related supply chains. Finally, the social performance of raw material sectors in EU-28 was compared with that of six extra-EU countries. Results and discussion: Considering the overall social risks in raw material industries, “Corruption”, “Fair salary”, “Health and safety” and “Freedom of association and collective bargaining” emerged as the most significant categories both in EU and extra-EU. EU-28 shows an above-average performance where the only exception is represented by the mining and quarrying sector. An investigation of the most contributing processes to social impact categories for EU-28 led to the identification of important risks originating in the supply chain and in extra-EU areas. Therefore, the S-LCA methodology confirmed the potential of a life cycle perspective to detect burdens shifting and trade-offs. However, only a limited view on the sectoral social performance could be obtained from the research due to a lack of social data. Conclusions: The S-LCA methodology and indicators appear appropriate to perform an initial social sustainability screening, thus enabling the identification of hotspots in raw material supply chains and the prioritization of areas of action in EU policies. Further methodological developments in the S-LCA field are necessary to make the approach proposed in the paper fully adequate to support EU policies on raw materials

Analysis of the burden and economic impact of digestive diseases and investigation of research gaps and priorities in the field of digestive health in the European Region—White Book 2: Executive summary

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