bluuebunny/crossref_metadata_2025_split huggingface dataset:
Was this an ending? The destruction of samples and deletion of records from the UK Police National DNA Database
Authors: SKINNER DAVID , WIENROTH MATTHIAS 
Published: July 2019

AbstractBetween December 2012 and September 2013 the United Kingdom government oversaw one of the largest destructions of a collection of human-derived samples ever conducted. Approximately 7,753,000 DNA samples and 1,766,000 DNA computerized profiles associated with the UK's policing National DNA Database (NDNAD) were destroyed or deleted. This paper considers this moment of exceptional erasure and the consequent implementation of new processes for routinely discarding and keeping samples and their associated computer records. It is divided into two parts. The first discusses the rapid growth of the NDNAD; the changing legal, ethical and political landscape within which it was promoted and contested; and the developments that led to the decision to limit its scope. The second shifts focus to the operational challenge of implementing the destruction of samples and deletion of records. The NDNAD case allows us to examine the labour and continuing uncertainties involved in erasure of biological data and the emerging norms and practices associated with collecting DNA in differing formats. It also sheds new light on the importance, interconnection and ongoing instability of the ethical and practical biovalue of genetic collections: as the paper argues, far from ending the NDNAD, a more rigorous regime of erasure has helped, for the moment at least, to secure its future.
The Medical, Public Health, and Emergency Response to the Impact of 2017 Hurricane Irma in Cuba
Authors: Zakrison Tanya L. , Valdés Davel Milian , Shultz James M. 
Published: July 2019

ABSTRACTIn 2017, Cuba was pummeled by Hurricane Irma, one of the strongest and most devastating Atlantic basin hurricanes in history. Twelve of Cuba’s 15 provinces and 90 percent of the population were affected, and there was island-wide loss of electrical power. Despite the significant damage, ongoing economic hardships, and the political realities that required Cuba to handle the situation without response support from other nations, Cuba’s recovery was swift and effective. Cuba’s disaster self-sufficiency and timely response to Hurricane Irma was grounded on 5 decades of disaster planning coupled with ongoing evolution of disaster risk reduction and management strategies. While the central command center, with local dispatch response teams, and mandated citizen engagement are features unique to Cuba’s political structure, in this study, we highlight 5 defining attributes of Cuba’s hurricane response that can constructively inform the actions of other island and coastal nations vulnerable to Atlantic tropical cyclones. These attributes are: (1) actively learning and incorporating lessons from past disaster events, (2) integrating healthcare and public health professionals on the frontlines of disaster response, (3) proactively engaging the public in disaster preparedness, (4) incorporating technology into disaster risk reduction, and (5) infusing science into risk planning. In terms of hurricane response, as a geopolitically isolated nation, Cuba has experienced particular urgency when it comes to protecting the population and creating resilient infrastructure that can be rapidly reactivated after the onslaught of storms of ever-increasing intensity. This includes planning for worsening future disaster scenarios based on a clear-eyed appreciation of the realities of climate change.
Co-ingestion of whole almonds and almond oil with carbohydrate suppresses postprandial glycaemia in mice in an insulin-dependent and insulin-independent manner
Authors: Kato Kazuko , Vo Phuong H. T. , Furuyashiki Takashi , Kamasaka Hiroshi , Kuriki Takashi 
Published: July 2019

Abstract
Co-ingestion of almonds with carbohydrate prevents excessive increase in plasma glucose level (PGL), but information about the functional fraction is limited. Identifying the functional fraction is necessary to use almonds more efficiently in terms of controlling postprandial glycaemia after a high-carbohydrate meal. In the present study, we evaluated the effects of almond skin, oil, water-soluble fraction and water-insoluble fraction on both postprandial glycaemia and insulinaemia. The effect of almond skin was tested by comparing the effect of whole almonds with the effect of skinless almonds. Male ICR mice were administered dextrin and 4 g/kg body weight test samples. After the administration, 2-h postprandial changes in glycaemia and insulinaemia were measured. Oil was the only fraction being able to blunt postprandial glycaemia. Interestingly, when co-ingesting with dextrin, almond oil did not change the insulin level compared with the control but whole almonds or skinless almonds triggered a 4-fold increase in insulin level. The co-ingestion of whole almonds or skinless almonds similarly suppressed the PGL at 15 and 30 min (P < 0·05), which means almond skin has no effect on postprandial glycaemia. Neither soluble nor insoluble fractions lead to any significant changes in postprandial glycaemia and insulinaemia. In conclusion, oil is the main functional component accounting for the glycaemia-lowering effect without altering insulin level.
Brief Report: A Pilot Study Into the Efficacy of a Brief Intervention to Teach Original Fictional Narratives to a Child With ASD and Language Disorder
Authors: Favot Kate , Carter Mark , Stephenson Jennifer 
Published: July 2019

AbstractThe ability to generate narratives is important for literacy development. Children with autism spectrum disorder (ASD) have been found to generate less complex narratives than typically developing peers. This pilot AB study was designed to investigate the efficacy of a brief intervention procedure to develop the macrostructure of original fictional narratives based on a realistic scenario in one child, aged 9 years 8 months, with autism spectrum disorder and language disorder. The intervention targeted the characters, setting, problem, feelings, and fix of fictional narrative. Intervention involved the use of macrostructure icons, pictures to support the generation of narratives, clinician modelling, and the participant telling the entire narrative each session. The participant received 12 training sessions of 4–6 minutes each and the intervention was effective. Areas for future research include implementation of a stronger research design and investigation of generalisation to fantasy-based fictional narratives.
Brain glutathione levels and age at onset of illness in chronic schizophrenia
Authors: Yang Yvonne S. , Maddock Richard J. , Lee Junghee , Zhang Huailin , Hellemann Gerhard , Narr Katherine L. , Marder Stephen R. , Green Michael F. 
Published: July 2019

AbstractObjective:Oxidative stress is implicated in the aetiology of schizophrenia, and the antioxidant defence system (AODS) may be protective in this illness. We examined the major antioxidant glutathione (GSH) in prefrontal brain and its correlates with clinical and demographic variables in schizophrenia.Methods:GSH levels were measured in the dorsolateral prefrontal region of 28 patients with chronic schizophrenia using a magnetic resonance spectroscopy sequence specifically adapted for GSH. We examined correlations of GSH levels with age, age at onset of illness, duration of illness, and clinical symptoms.Results:We found a negative correlation between GSH levels and age at onset (r = −0.46, p = 0.015), and a trend-level positive relationship between GSH and duration of illness (r = 0.34, p = 0.076).Conclusion:Our findings are consistent with a possible compensatory upregulation of the AODS with longer duration of illness and suggest that the AODS may play a role in schizophrenia.
A Laboratory for a Composite India? Jamia Millia Islamia around the time of partition
Authors: GAUTIER LAURENCE 
Published: July 2019

AbstractThis article explores the role of Jamia Millia Islamia—the National Muslim University—in the formation of a composite national identity in India around the time of partition. This institution, born under the dual influence of the Khilafat and Non-Cooperation movements, constituted for its members a ‘laboratory’ for the nation. Through their educational experiments and constructive workà laGandhi, Jamia teachers and students sought to lay the ground for an independence that would be ‘meaningful’ not only for Muslims but for the entire nation. In so doing, Jamia members claimed the right for Muslims to be recognized as ‘unhyphenated Indians’, able to speak for the nation. This article thus discusses the efforts of Jamia members to promote an inclusive conception of ‘composite India’ of which Muslims were fully part. At the same time, it highlights the ambiguous attitude of government authorities vis-à-vis the institution. Despite Jamia members’ strong affinities with Congress leaders, notably Nehru, the school received little support from state authorities after independence. Paradoxically, Nehru's government preferred to turn towards another Muslim institution—Aligarh Muslim University—often considered the ‘cradle’ of ‘Muslim separatism’, in order to reach out to Muslim citizens and promote national integration. By exploring the motivations behind this paradoxical choice as well as the complex relations between Jamia and Nehru's government, this article highlights some of Nehru's own ambiguities towards the ‘Gandhian’ legacy as well as to Muslim representation in secular India.
Evidence of shared familial factors influencing neurocognitive endophenotypes in adult- and childhood-onset schizophrenia
Authors: Bigdeli Tim B. , Nuechterlein Keith H. , Sugar Catherine A. , Subotnik Kenneth L. , Kubarych Thomas , Neale Michael C. , Kendler Kenneth S. , Asarnow Robert F. 
Published: July 2019

AbstractBackgroundThe aggregation of neurocognitive deficits among the non-psychotic first-degree relatives of adult- and childhood-onset schizophrenia patients suggests that there may be a common etiology for these deficits in childhood- and adult-onset illness. However, there is considerable heterogeneity in the presentation of neurobiological abnormalities, and whether there are differences in the extent of familial transmission for specific domains of cognitive function has not been systematically addressed.MethodsWe employed variance components analysis, as implemented in SOLAR-Eclipse, to evaluate the evidence of familial transmission for empirically derived composite scores representing attention, working memory, verbal learning, verbal retention, and memory for faces. We contrast estimates for adult- and childhood-onset schizophrenia families and matched community control pedigrees, and compare our findings to previous reports based on analogous neurocognitive assessments.ResultsWe observed varying degrees of familial transmission; attention and working memory yielded comparable, significant estimates for adult-onset and community control pedigrees; verbal learning was significant for childhood-onset and community control pedigrees; and facial memory demonstrated significant familial transmission only for childhood-onset schizophrenia. Model-fitting analyses indicated significant differences in familiality between adult- and childhood-onset schizophrenia for attention, working memory, and verbal learning.ConclusionsBy comprehensively assessing a wide range of neurocognitive domains in adult- and childhood-onset schizophrenia families, we provide additional support for specific neurocognitive domains as schizophrenia endophenotypes. Whereas comparable estimates of familial transmission for certain dimensions of cognitive functioning support a shared etiology of adult- and childhood-onset neurocognitive function, observed differences may be taken as preliminary evidence of partially divergent multifactorial architectures.
Interaction of maternal choline levels and prenatal Marijuana's effects on the offspring
Authors: Hoffman M. Camille , Hunter Sharon K. , D'Alessandro Angelo , Noonan Kathleen , Wyrwa Anna , Freedman Robert 
Published: July 2019

AbstractBackgroundThis study investigated whether higher maternal choline levels mitigate effects of marijuana on fetal brain development. Choline transported into the amniotic fluid from the mother activates α7-nicotinic acetylcholine receptors on fetal cerebro-cortical inhibitory neurons, whose development is impeded by cannabis blockade of their cannabinoid-1(CB1) receptors.MethodsMarijuana use was assessed during pregnancy from women who later brought their newborns for study. Mothers were informed about choline and other nutrients, but not specifically for marijuana use. Maternal serum choline was measured at 16 weeks gestation.ResultsMarijuana use for the first 10 weeks gestation or more by 15% of mothers decreased newborns' inhibition of evoked potentials to repeated sounds (d’ = 0.55, p < 0.05). This effect was ameliorated if women had higher gestational choline (rs = −0.50, p = 0.011). At 3 months of age, children whose mothers continued marijuana use through their 10th gestational week or more had poorer self-regulation (d’ = −0.79, p < 0.05). This effect was also ameliorated if mothers had higher gestational choline (rs = 0.54, p = 0.013). Maternal choline levels correlated with the children's improved duration of attention, cuddliness, and bonding with parents.ConclusionsPrenatal marijuana use adversely affects fetal brain development and subsequent behavioral self-regulation, a precursor to later, more serious problems in childhood. Stopping marijuana use before 10 weeks gestational age prevented these effects. Many mothers refuse to cease use because of familiarity with marijuana and belief in its safety. Higher maternal choline mitigates some of marijuana's adverse effects on the fetus.
Longitudinal Regrasping of Elongated Objects
Authors: Sintov Avishai , Tslil Or , Frenkel Shahar 
Published: July 2019

SUMMARYRegrasping is a manipulation to alternate between grasp configurations of an object to perform different tasks. We address a regrasping problem termed longitude regrasping to reposition a gripper along an elongated object. We propose an algorithm using the dynamics of the arm and a non-dexterous gripper to perform the manipulation. Energy control is used to toss the object up and catch it under the goal position. Clipped Linear Quadratic Regulator control approach is then applied to the gripper jaws to control the friction force on the object and to let it slide to the final goal position. The object sliding within the gripper is modeled as a semi-active linear joint where only dissipative forces can be applied to it. A set of experiments validated the feasibility of the method.
Dietary Approaches to Stop Hypertension (DASH): potential mechanisms of action against risk factors of the metabolic syndrome
Authors: Akhlaghi Masoumeh 
Published: July 2019

AbstractThe metabolic syndrome is a cluster of disorders dominated by abdominal obesity, hypertriacylglycerolaemia, low HDL-cholesterol, high blood pressure and high fasting glucose. Diet modification is a safe and effective way to treat the metabolic syndrome. Dietary Approaches to Stop Hypertension (DASH) is a dietary pattern rich in fruits, vegetables and low-fat dairy products, and low in meats and sweets. DASH provides good amounts of fibre, K, Ca and Mg, and limited quantities of total fat, saturated fat, cholesterol and Na. Although DASH was initially designed for the prevention or control of hypertension, using a DASH diet has other metabolic benefits. In the present review, the effect of each dietary component of DASH on the risk factors of the metabolic syndrome is discussed. Due to limited fat and high fibre and Ca content, individuals on the DASH diet are less prone to overweight and obesity and possess lower concentrations of total and LDL-cholesterol although changes in TAG and HDL-cholesterol have been less significant and available evidence in this regard is still inconclusive. Moreover, high amounts of fruit and vegetables in DASH provide great quantities of K, Mg and fibre, all of which have been shown to reduce blood pressure. K, Mg, fibre and antioxidants have also been effective in correcting glucose and insulin abnormalities. Evidence is provided from cross-sectional investigations, cohort studies and randomised controlled trials, and, where available, from published meta-analyses. Mechanisms are described according to human studies and, in the case of a lack of evidence, from animal and cell culture investigations.
International Migration and Turnout Bias
Authors: Wigginton Michael J. , Stockemer Daniel , van Schouwen Jasmine 
Published: July 2019

ABSTRACTThis article focuses on two commonly used indicators of turnout, VAP turnout (the number of votes cast as a percentage of the voting-age population) and RV turnout (votes cast as a percentage of the number of registered voters), and discusses possible biases induced by migration flows. Using a global dataset on elections in more than 100 democracies between 1990 and 2012, we tested the potential bias induced by the percentage of resident noncitizens and nationals living abroad on VAP and RV turnout, respectively. Through time-series cross-sectional analysis, we found that the number of resident noncitizens negatively biases VAP turnout, to the extent that a country with 10% noncitizen residents would have turnout underreported by nearly 4 percentage points. In contrast, we found that the number of nationals living abroad does not induce a turnout bias.
Jointly learning sentence embeddings and syntax with unsupervised Tree-LSTMs
Authors: Maillard Jean , Clark Stephen , Yogatama Dani 
Published: July 2019

AbstractWe present two studies on neural network architectures that learn to represent sentences by composing their words according to automatically induced binary trees, without ever being shown a correct parse tree. We use Tree-Long Short-Term Memories (LSTMs) as our composition function, applied along a tree structure found by a differentiable natural language chart parser. The models simultaneously optimise both the composition function and the parser, thus eliminating the need for externally provided parse trees, which are normally required for Tree-LSTMs. They can therefore be seen as tree-based recurrent neural networks that are unsupervised with respect to the parse trees. Due to being fully differentiable, the models are easily trained with an off-the-shelf gradient descent method and backpropagation.In the first part of this paper, we introduce a model based on the CKY chart parser, and evaluate its downstream performance on a natural language inference task and a reverse dictionary task. Further, we show how its performance can be improved with an attention mechanism which fully exploits the parse chart, by attending over all possible subspans of the sentence. We find that our approach is competitive against similar models of comparable size and outperforms Tree-LSTMs that use trees produced by a parser.Finally, we present an alternative architecture based on a shift-reduce parser. We perform an analysis of the trees induced by both our models, to investigate whether they are consistent with each other and across re-runs, and whether they resemble the trees produced by a standard parser.
Language model adaptation for language and dialect identification of text
Authors: Jauhiainen T. , Lindén K. , Jauhiainen H. 
Published: July 2019

AbstractThis article describes an unsupervised language model (LM) adaptation approach that can be used to enhance the performance of language identification methods. The approach is applied to a current version of the HeLI language identification method, which is now called HeLI 2.0. We describe the HeLI 2.0 method in detail. The resulting system is evaluated using the datasets from the German dialect identification and Indo-Aryan language identification shared tasks of the VarDial workshops 2017 and 2018. The new approach with LM adaptation provides considerably higher F1-scores than the basic HeLI or HeLI 2.0 methods or the other systems which participated in the shared tasks. The results indicate that unsupervised LM adaptation should be considered as an option in all language identification tasks, especially in those where encountering out-of-domain data is likely.
Measurement and Modulation of Working Memory-Related Oscillatory Abnormalities
Authors: Kavanaugh Brian C. , Fryc Alexa , Carpenter Linda L. 
Published: July 2019

AbstractDespite the critical role of working memory (WM) in neuropsychiatric conditions, there remains a dearth of available WM-targeted interventions. Gamma and theta oscillations as measured with electroencephalography (EEG) or magnetoencephalography (MEG) reflect the neural underpinnings of WM. The WM processes that fluctuate in conjunction with WM demands are closely correlated with WM test performance, and their EEG signatures are abnormal in several clinical populations. Novel interventions such as transcranial magnetic stimulation (TMS) have been shown to modulate these oscillations and subsequently improve WM performance and clinical symptoms. Systematically identifying pathological WM-related gamma/theta oscillatory patterns with EEG/MEG and developing ways to target them with interventions such as TMS is an active area of clinical research. Results hold promise for enhancing the outcomes of our patients with WM deficits and for moving the field of clinical neuropsychology towards a mechanism-based approach.
Are our diets getting healthier and more sustainable? Insights from the European Prospective Investigation into Cancer and Nutrition – Netherlands (EPIC-NL) cohort
Authors: Biesbroek Sander , Verschuren WM Monique , Boer Jolanda MA , van der Schouw Yvonne T , Sluijs Ivonne , Temme Elisabeth HM 
Published: July 2019

AbstractObjective:To identify differences in dietary quality, dietary greenhouse gas (GHG) emissions and food consumption over 20 years in a Dutch cohort.Design:Participants (n 8932) filled out an FFQ in 1993–1997 and in 2015. The Dutch Healthy Diet index 2015 (DHD15-index) score, GHG emissions and consumption of food groups (g/4184 kJ (1000 kcal)) were compared between the time points with paired t tests.Setting:The Netherlands.Participants:European Prospective Investigation into Cancer and Nutrition – Netherlands (EPIC-NL) cohort, aged 18–65 years at baseline.Results:Total energy intake decreased by –678 (95 % CI –4908, 3377) kJ/d (–162 (95 % CI –1173, 807) kcal/d) for men and –372 (95 % CI –3820, 3130) kJ/d (–89 (95 % CI –913, 748) kcal/d) for women. DHD15-index scores increased by 11 % (from 64·8 to 71·9 points) and 13 % (from 65·2 to 73·6 points) in men and women, respectively (P < 0·0001), mainly due to an increased (shell)fish and nuts/seeds/nut paste consumption. After energy intake adjustment, dietary-related GHG emissions increased by 5 % in men (2·48–2·61 kg CO2-eq/4184 kJ (1000 kcal), P < 0·0001) and were similar in women (0·4 %, 2·70–2·71 kg CO2-eq/4184 kJ (1000 kcal), P = 0·3930) due to the increased consumption of (shell)fish, nuts/seeds/nut paste, poultry and higher GHG-intensive red meats such as beef.Conclusions:This Dutch cohort analyses showed more healthy diets without mitigated GHG emissions over a 20-year period, at similar energy intakes. Higher consumption of (shell)fish and poultry was not yet at the expense of red and processed meat. Lower consumption of animal-based foods is needed to achieve healthier as well as environmentally friendly diets.