bluuebunny/crossref_metadata_2025_split huggingface dataset:
Stressful life events and adolescent suicidality: An investigation of the mediating mechanisms
Authors: Yıldız Muhammed 
Published: June 2020

ABSTRACTIntroductionWhile a number of studies have found an association between stressful life events and adolescent suicidality, underlying mechanisms linking the two continue to be inadequately understood. Drawing upon the stress process, general strain, and support deterioration theories, this study examined the relationship between stressful life events and suicidality in U.S. adolescents, focusing on the mediating roles of depression, substance use, and perceived social support.MethodsThe data came from the first two waves of the National Longitudinal Study of Adolescent to Adult Health (N = 12,801; M age = 15 at Wave I; 50.2% female). Mediation analyses were performed using the Karlson‐Holm‐Breen (KHB) method developed for nonlinear probability models.ResultsDepression, substance use, and perceived social support accounted for a substantial part of the effect of stressful life events on suicidal ideation (57%) and attempts (43%). All mediating effects were statistically significant. Depression was a relatively stronger mediator for both suicidal outcomes. Significant relationships among stressful life events and suicidal outcomes persisted even after adjusting for the proposed mediators.ConclusionStressful life events increase suicidality in adolescents, partly by increasing psychological distress and eroding perceived social support. Findings underscore the necessity of continued emphasis on stress management and support programs in reducing suicidality among vulnerable adolescents exposed to these types of occurrences.
The Battle to Sequence the Bread Wheat Genome: A Tale of the Three Kingdoms
Authors: Guan Jiantao , Garcia Diego F. , Zhou Yun , Appels Rudi , Li Aili , Mao Long 
Published: June 2020

Abstract
In the year 2018, the world witnessed the finale of the race to sequence the genome of the world’s most widely grown crop, the common wheat. Wheat has been known to bear a notoriously large and complicated genome of a polyploidy nature. A decade competition to sequence the wheat genome initiated with a single consortium of multiple countries, taking a conventional strategy similar to that for sequencing Arabidopsis and rice, became ferocious over time as both sequencing technologies and genome assembling methodologies advanced. At different stages, multiple versions of genome sequences of the same variety (e.g., Chinese Spring) were produced by several groups with their special strategies. Finally, 16 years after the rice genome was finished and 9 years after that of maize, the wheat research community now possesses its own reference genome. Armed with these genomics tools, wheat will reestablish itself as a model for polyploid plants in studying the mechanisms of polyploidy evolution, domestication, genetic and epigenetic regulation of homoeolog expression, as well as defining its genetic diversity and breeding on the genome level. The enhanced resolution of the wheat genome should also help accelerate development of wheat cultivars that are more tolerant to biotic and/or abiotic stresses with better quality and higher yield.
Keeping a secure hold on data through modern electronic content management
Authors: Hampton Paul 
Published: June 2020

Proper storage of data is a security necessity. This is because data can often contain valuable company information, which is liable to fall into the wrong hands if not properly managed. The problem is growing in tandem with increased content creation – the world is full of data. It is estimated that the aggregate amount of data, which doubles in size every two years, measures 4.4 zettabytes (trillion gigabytes) and is likely to reach a massive 44 zettabytes by 2020. 1 Companies are attempting to deal with a tidal wave of data. And a lack of integration inside a business can promote the dangerous phenomenon of content sprawl. This occurs when different departments do not harmonise their processes and there is no plan to address outdated content or to ensure that data is stored in the right way. Companies need to gain a tight rein on their digital assets and institute a rigid content management system to keep up with the data explosion. But that can be easier said than done, explains Paul Hampton of Alfresco.
Keeping critical assets safe when teleworking is the new norm
Authors: Evangelakos Gus 
Published: June 2020

The Covid-19 pandemic has upended almost every aspect of our lives – and work is no exception. With social distancing protocols in effect across the world, tele-commuting (or remote work), has suddenly become the norm for many, rather than the exception. And the flexibility offered by remote work is a major benefit. There are many advantages to remote working. Yet our new professional reality also comes with fresh challenges. Perhaps none of these is more important than the need to safeguard critical corporate assets within an information security landscape that has been profoundly altered, almost overnight, says Gus Evangelakos of XM Cyber.
The predictive value of intake questions on informing tailored quitline services
Authors: Seltzer Ryan G. N. , Michael Stephen , York Heather P. , Yuan Nicole 
Published: June 2020

AbstractThe Minimal Data Set are demographic and tobacco use questions asked during enrollment at many quitlines. We tested whether these questions can be used to predict program engagement and success, and to evaluate whether findings can inform the tailoring of protocols to disparate populations. We analyzed 7,920 Arizona Smokers' Helpline treatment records to test a Structural Equation Model of the mediating effects of quitline services and short-term cessation outcomes on the relationship between intake questions and 7-month quit rate. Education (b = 0.05), gender (b = 0.03), Medicaid (b = −0.09), longest length of previous quit attempt (b = 0.05), confidence in quitting for 24 h (b = 0.04), environmental risk (b = −0.05), and life stress (b = 0.04) all significantly (P < 0.05) predicted engagement in quitline services. Program engagement had a direct effect on an in-program cessation outcomes construct (b = 0.47) and 7-month quit rate (b = 0.44). This in-program cessation outcomes construct had a significant direct effect on 7-month quit rate (b = −0.12). This model showing the relationship between program engagement and outcomes suggests that tailoring protocols can focus on engaging clients who have historically not taken full advantage of quitline services.
Historical Institutionalism Meets Practice Theory: Renewing the Selection Process of the United Nations Secretary-General
Authors: Pouliot Vincent 
Published: June 2020

AbstractThe selection process leading to the appointment of Antonio Guterres as Secretary-General of the United Nations gave way to unprecedented practices in world politics, such as public hearings with candidates. A textbook case of what historical institutionalism calls “layering,” this episode of institutional development features intriguing puzzles, including its timing, form, and limits. Drawing on historical institutionalism and practice theory, I develop a “pulling” theory of agency that complements intentionalist accounts. The webs of practices that agents find themselves in afford certain actions over others, orienting the push of interests. I infer three mechanisms—relational crossover, competence transfers, and pushback—and show how a set of nine practices, available at the UN in 2015–2016 but not in earlier episodes, account for the specifics of the recent renewal of the Secretary-General's selection procedure. A full explanation of this critical case of institutional change is impossible without understanding how agents struggled with one another under the pull of the UN web of practices, affording some innovations but not others.
Identifying social cognition subgroups in euthymic patients with bipolar disorder: a cluster analytical approach
Authors: Varo C. , Solé B. , Jiménez E. , Bonnín C. M. , Torrent C. , Valls E. , Lahera G. , Martínez-Arán A. , Carvalho A. F. , Miskowiak K. W. , Vieta E. , Reinares M. 
Published: June 2020

AbstractBackgroundBipolar disorder (BD) is associated with social cognition (SC) impairments even during remission periods although a large heterogeneity has been described. Our aim was to explore the existence of different profiles on SC in euthymic patients with BD, and further explore the potential impact of distinct variables on SC.MethodsHierarchical cluster analysis was conducted using three SC domains [Theory of Mind (ToM), Emotional Intelligence (EI) and Attributional Bias (AB)]. The sample comprised of 131 individuals, 71 patients with BD and 60 healthy control subjects who were compared in terms of SC performance, demographic, clinical, and neurocognitive variables. A logistic regression model was used to estimate the effect of SC-associated risk factors.ResultsA two-cluster solution was identified with an adjusted-performance group (N = 48, 67.6%) and a low-performance group (N = 23, 32.4%) with mild deficits in ToM and AB domains and with moderate difficulties in EI. Patients with low SC performance were mostly males, showed lower estimated IQ, higher subthreshold depressive symptoms, longer illness duration, and poorer visual memory and attention. Low estimated IQ (OR 0.920, 95% CI 0.863–0.981), male gender (OR 5.661, 95% CI 1.473–21.762), and longer illness duration (OR 1.085, 95% CI 1.006–1.171) contributed the most to the patients clustering. The model explained up to 35% of the variance in SC performance.ConclusionsOur results confirmed the existence of two discrete profiles of SC among BD. Nearly two-thirds of patients exhibited adjusted social cognitive abilities. Longer illness duration, male gender, and lower estimated IQ were associated with low SC performance.
Endosperm variability: from endoreduplication within a seed to higher ploidy across species, and its competence
Authors: Rangan Parimalan 
Published: June 2020

AbstractEndosperm tissue that nourishes the embryo during seed development, upon maturity, nourishes the global population with special reference to cereal crops like maize, wheat and rice. In about 70% of the angiosperms, endosperm genome content is ‘3n’ with 2:1 (maternal:paternal) contribution, as a result of the second fertilization event. However, angiosperms evolution also documents diversity in endosperm genome content from ‘2n’ to ‘15n’, in scale with the corresponding maternal genome dosage variability (‘1n’ to ‘14n’), whereas paternal contribution is invariable. In apomicts, due to lack of fertilization, or pseudogamy (fertilization of the central cell for endosperm formation), endosperm genome dosage (m:p) has been reported to range between 1:1 and 8:3. Exceptionally, the central cell with one unreduced nucleus and fused with a reduced sperm cell, with 2:1 normal genome dosage, has been reported inPanicum. Altered genome dosage levels are reportedly correlative with eccentricities among maternal and paternal contribution to seed resource allocation. Besides endosperm ploidy variability between species of angiosperms, the present review gives an overview of the ploidy variability in endosperm cells within a seed, up to ‘690n’. In addition to genome-scale variability in the endosperm, some taxa of angiosperms exhibit chlorophyllous endosperms and some chlorophyllous embryos. Also, endosperm cell number during seed development is reported to have a strong association with grain weight at maturity. Genes underlying these traits of variability are unknown, and the present review underscores the variability and highlights the potential of the single-cell sequencing techniques towards understanding the genetic mechanisms associated with these variable traits.
Neural machine translation of low-resource languages using SMT phrase pair injection
Authors: Sen Sukanta , Hasanuzzaman Mohammed , Ekbal Asif , Bhattacharyya Pushpak , Way Andy 
Published: June 2020

AbstractNeural machine translation (NMT) has recently shown promising results on publicly available benchmark datasets and is being rapidly adopted in various production systems. However, it requires high-quality large-scale parallel corpus, and it is not always possible to have sufficiently large corpus as it requires time, money, and professionals. Hence, many existing large-scale parallel corpus are limited to the specific languages and domains. In this paper, we propose an effective approach to improve an NMT system in low-resource scenario without using any additional data. Our approach aims at augmenting the original training data by means of parallel phrases extracted from the original training data itself using a statistical machine translation (SMT) system. Our proposed approach is based on the gated recurrent unit (GRU) and transformer networks. We choose the Hindi–English, Hindi–Bengali datasets for Health, Tourism, and Judicial (only for Hindi–English) domains. We train our NMT models for 10 translation directions, each using only 5–23k parallel sentences. Experiments show the improvements in the range of 1.38–15.36 BiLingual Evaluation Understudy points over the baseline systems. Experiments show that transformer models perform better than GRU models in low-resource scenarios. In addition to that, we also find that our proposed method outperforms SMT—which is known to work better than the neural models in low-resource scenarios—for some translation directions. In order to further show the effectiveness of our proposed model, we also employ our approach to another interesting NMT task, for example, old-to-modern English translation, using a tiny parallel corpus of only 2.7K sentences. For this task, we use publicly available old-modern English text which is approximately 1000 years old. Evaluation for this task shows significant improvement over the baseline NMT.
Learning from noisy out-of-domain corpus using dataless classification
Authors: Jin Yiping , Wanvarie Dittaya , Le Phu T. V. 
Published: June 2020

AbstractIn real-world applications, text classification models often suffer from a lack of accurately labelled documents. The available labelled documents may also be out of domain, making the trained model not able to perform well in the target domain. In this work, we mitigate the data problem of text classification using a two-stage approach. First, we mine representative keywords from a noisy out-of-domain data set using statistical methods. We then apply a dataless classification method to learn from the automatically selected keywords and unlabelled in-domain data. The proposed approach outperformed various supervised learning and dataless classification baselines by a large margin. We evaluated different keyword selection methods intrinsically and extrinsically by measuring their impact on the dataless classification accuracy. Last but not least, we conducted an in-depth analysis of the behaviour of the classifier and explained why the proposed dataless classification method outperformed supervised learning counterparts.
Comparison of methodological quality between the 2007 and 2019 Canadian dietary guidelines
Authors: Dai Zhaoli , Kroeger Cynthia M , Lawrence Mark , Scrinis Gyorgy , Bero Lisa 
Published: June 2020

AbstractObjective:With significant shifts in the dietary recommendations between the 2007 and 2019 Canadian dietary guidelines, such as promoting plant-based food intake, reducing highly processed food intake and advocating the practice of food skills, we compared their differences in guideline development methods.Design:Two reviewers used twenty-five guided criteria to appraise the methods used to develop the most recent dietary guidelines against those outlined in the 2014 WHO Handbook for Guideline Development.Setting:Canada.Participants:2007 and 2019 dietary guidelines.Results:We found that the 2019 guidelines were more evidence-based and met 80 % (20/25) of the WHO criteria. For example, systematic reviews and health organisation authoritative reports, but not industry reports, constituted the evidence base for the dietary recommendations. However, recommendations on food sustainability and food skill practice were driven primarily by stakeholders’ interests. By contrast, less information was recorded about the process used to develop the 2007 guidelines, resulting in 24 % (6/25) consistency with the WHO standards.Conclusions:Our analysis suggests that a more transparent and evidence-based approach is used to develop the 2019 Canadian dietary guidelines and that method criteria should support further incorporation of nutrition priorities (food sustainability and food skills) in future dietary guideline development.
Jupiter's Equatorial Plumes and Hot Spots: Spectral Mapping from Gemini/TEXES and Juno/MWR
Authors: Fletcher L. N. , Orton G. S. , Greathouse T. K. , Rogers J. H. , Zhang Z. , Oyafuso F. A. , Eichstädt G. , Melin H. , Li C. , Levin S. M. , Bolton S. , Janssen M. , Mettig H.‐J. , Grassi D. , Mura A. , Adriani A. 
Published: June 2020

AbstractWe present multiwavelength measurements of the thermal, chemical, and cloud contrasts associated with the visibly dark formations (also known as 5‐μm hot spots) and intervening bright plumes on the boundary between Jupiter's Equatorial Zone (EZ) and North Equatorial Belt (NEB). Observations made by the TEXES 5‐ to 20‐μm spectrometer at the Gemini North Telescope in March 2017 reveal the upper‐tropospheric properties of 12 hot spots, which are directly compared to measurements by Juno using the microwave radiometer (MWR), JIRAM at 5 μm, and JunoCam visible images. MWR and thermal‐infrared spectroscopic results are consistent near 0.7 bar. Mid‐infrared‐derived aerosol opacity is consistent with that inferred from visible‐albedo and 5‐μm opacity maps. Aerosol contrasts, the defining characteristics of the cloudy plumes and aerosol‐depleted hot spots, are not a good proxy for microwave brightness. The hot spots are neither uniformly warmer nor ammonia‐depleted compared to their surroundings at p<1 bar. At 0.7 bar, the microwave brightness at the edges of hot spots is comparable to other features within the NEB. Conversely, hot spots are brighter at 1.5 bar, signifying either warm temperatures and/or depleted NH3 at depth. Temperatures and ammonia are spatially variable within the hot spots, so the precise location of the observations matters to their interpretation. Reflective plumes sometimes have enhanced NH3, cold temperatures, and elevated aerosol opacity, but each plume appears different. Neither plumes nor hot spots had microwave signatures in channels sensing p>10 bars, suggesting that the hot spot/plume wave is a relatively shallow feature.
CREBBP and STAT6 co-mutation and 16p13 and 1p36 loss define the t(14;18)-negative diffuse variant of follicular lymphoma
Authors: Xian Rena R. , Xie Yi , Haley Lisa M. , Yonescu Raluca , Pallavajjala Aparna , Pittaluga Stefania , Jaffe Elaine S. , Duffield Amy S. , McCall Chad M. , Gheith Shereen M. F. , Gocke Christopher D. 
Published: June 2020

AbstractThe diffuse variant of follicular lymphoma (dFL) is a rare variant of FL lacking t(14;18) that was first described in 2009. In this study, we use a comprehensive approach to define unifying pathologic and genetic features through gold-standard pathologic review, FISH, SNP-microarray, and next-generation sequencing of 16 cases of dFL. We found unique morphologic features, including interstitial sclerosis, microfollicle formation, and rounded nuclear cytology, confirmed absence of t(14;18) and recurrent deletion of 1p36, and showed a novel association with deletion/CN-LOH of 16p13 (inclusive of CREBBP, CIITA, and SOCS1). Mutational profiling demonstrated near-uniform mutations in CREBBP and STAT6, with clonal dominance of CREBBP, among other mutations typical of germinal-center B-cell lymphomas. Frequent CREBBP and CIITA codeletion/mutation suggested a mechanism for immune evasion, while subclonal STAT6 activating mutations with concurrent SOCS1 loss suggested a mechanism of BCL-xL/BCL2L1 upregulation in the absence of BCL2 rearrangements. A review of the literature showed significant enrichment for 16p13 and 1p36 loss/CN-LOH, STAT6 mutation, and CREBBP and STAT6 comutation in dFL, as compared with conventional FL. With this comprehensive approach, our study demonstrates confirmatory and novel genetic associations that can aid in the diagnosis and subclassification of this rare type of lymphoma.
Delayed treatment with an autophagy inhibitor 3-MA alleviates the progression of hyperuricemic nephropathy
Authors: Shi Yingfeng , Tao Min , Ma Xiaoyan , Hu Yan , Huang Guansen , Qiu Andong , Zhuang Shougang , Liu Na 
Published: June 2020

AbstractAutophagy is a cell self-renewal process that relies on the degradation of the cytoplasmic proteins or organelles of lysosomes and is associated with development of numerous diseases. However, the therapeutic effect of autophagy inhibition on hyperuricemic nephropathy (HN) and the underlying mechanisms are still unknown. Here, we investigated the effect of delayed treatment with 3-methyladenine (3-MA), a specific autophagy inhibitor, on the development of HN in a rat model. Administration of 3-MA at 21 days following after uric acid injury protected kidney from hyperuricemic-related injuries, as demonstrated by improving renal dysfunction and architecture damage, blocking Beclin-1 and LC3II/I and decreasing the number of autophagic vacuoles. Late treatment with 3-MA was also effective in attenuating renal fibrosis as evidenced by reducing ECM protein deposition, blocking epithelial-to-mesenchymal transition (EMT) and decreasing the number of renal epithelial cells arrested at the G2/M phase of cell cycle. Injury to the kidney resulted in increased expression of TGFβ receptor I, and phosphorylation of Smad3, 3-MA significantly abrogated all these responses. Moreover, inhibition of autophagy suppressed mitochondrial fission, downregulated the expression of Dynamin-related protein 1 (Drp-1), Cofilin and F-actin, and alleviated cell apoptosis. Finally, 3-MA effectively blocked STAT3 and NF-κB phosphorylation and suppressed infiltration of macrophages and lymphocytes as well as release of multiple profibrogenic cytokines/chemokines in the injured kidney. Taken together, these findings indicate that hyperuricemia-induced autophagy is critically involved in the activation of renal fibroblasts, EMT, mitochondrial fission and apoptosis of tubular epithelial cells and development of renal fibrosis. Thus, this study provides evidence for autophagy inhibitors as the treatment of HN patients.
Efficient polygenic risk scores for biobank scale data by exploiting phenotypes from inferred relatives
Authors: Truong Buu , Zhou Xuan , Shin Jisu , Li Jiuyong , van der Werf Julius H. J. , Le Thuc D. , Lee S. Hong 
Published: June 2020

AbstractPolygenic risk scores are emerging as a potentially powerful tool to predict future phenotypes of target individuals, typically using unrelated individuals, thereby devaluing information from relatives. Here, for 50 traits from the UK Biobank data, we show that a design of 5,000 individuals with first-degree relatives of target individuals can achieve a prediction accuracy similar to that of around 220,000 unrelated individuals (mean prediction accuracy = 0.26 vs. 0.24, mean fold-change = 1.06 (95% CI: 0.99-1.13), P-value = 0.08), despite a 44-fold difference in sample size. For lifestyle traits, the prediction accuracy with 5,000 individuals including first-degree relatives of target individuals is significantly higher than that with 220,000 unrelated individuals (mean prediction accuracy = 0.22 vs. 0.16, mean fold-change = 1.40 (1.17-1.62), P-value = 0.025). Our findings suggest that polygenic prediction integrating family information may help to accelerate precision health and clinical intervention.