bluuebunny/crossref_metadata_2025_split huggingface dataset:
Weiterbildung nach Maß: Lehrgang „TUSI – Tunnelsicherheit in Bau und Betrieb“
Authors: Löschnauer Jürgen , Galler Robert , Wenighofer Robert , Wohltran Nicole 
Published: December 2019

ZusammenfassungDie Sicherheit von Tunnelbauwerken ist ein Querschnittsthema, das verschiedene Interessensgruppen von der Planung über den Bau bis zum Betrieb betrifft. Im Rahmen des Qualifizierungsprojektes „TUSI – Tunnelsicherheit in Bau und Betrieb“ waren alle Projektpartner an der Konzeption der 9 Ausbildungsmodule beteiligt. Das erworbene Wissen wurde von den TeilnehmerInnen in einem Praxisprojekt umgesetzt. Zur sichtbaren Darstellung der Fachkompetenz erfolgte eine Personenzertifizierung nach den Anforderungen der ISO 17024. Mit dem Projekt wurde der Grundstein für die Entwicklung eines internationalen Universitätslehrganges auf dem Gebiet der Tunnelsicherheit gelegt.
Increased risk for tooth extraction in primary hyperparathyroidism and hypercalcemia: a population study
Authors: Koman A. , Näsman P. , Discacciati A. , Ekbom A. , Nilsson I-L. , Sandborgh-Englund G. 
Published: December 2019

AbstractThe aim of this study was to analyze dental comorbidities in untreated primary hyperparathyroidism (pHPT). Patients with pHPT subjected to parathyroidectomy (PTX) at Karolinska University Hospital, Stockholm, during 2011–2016 (n = 982) were selected from the Scandinavian Quality Register of Thyroid, Parathyroid and Adrenal surgery and compared to a general population cohort (n = 2944), matched for age and gender. Dental data was obtained from the Swedish Dental Health Registry for the 3 years prior to PTX. The incidence rate ratios (IRRs) of tooth loss by extraction, periodontal interventions, and dental visit rate were analyzed by Poisson regression models. In order to analyze the impact of disease severity, the PHPT cohort was sub-grouped based on preoperative serum levels of ionized calcium (S-Ca2+). The total number of tooth extractions, periodontal interventions, and number of visits were similar in the cohorts. PHPT patients belonging to the quartile with the highest S-Ca2+ (≥ 1.51 mmol/L) had increased risk for tooth extraction (IRR 1.85; 95% CI 1.39–2.46). Female gender independently amplified the risk (IRR 1.341, P < 0.027). This study indicates an association between pHPT and oral disorders reflected by increased tooth loss by extraction related to high S-Ca2. Increased awareness of dental comorbidity in primary hyperparathyroidism may benefit a large group of patients with a common disease through earlier detection and prevention.
Longitudinal studies examining the impact of prenatal and subsequent episodes of maternal depression on offspring antisocial behaviour
Authors: Morgan Joanne E. , Channon Sue , Penny Helen , Waters Cerith S. 
Published: December 2019

AbstractMaternal depression is associated with adverse child outcomes including antisocial behaviour (ASB). Prospective longitudinal studies have focused on the timing and cumulative exposure to maternal depression to further delineate the association and mechanisms of effect. The objective of this systematic review was to synthesise and evaluate the findings of longitudinal studies of maternal depression and offspring antisocial behaviour. Three databases were searched (Psychinfo, Web of Science, and Medline). Twenty of 5936 studies met inclusion criteria. Study quality was assessed using the Critical Appraisal Skills Programme criteria [Critical Appraisal Skills Programme (2017) CASP (cohort observation checklist). https://casp-uk.net/wpcontent/uploads/2018/01/CASP-Cohort-Study-Checklist.pdf]. Results of individual studies were highly varied, using diverse analytical approaches and not all studies explored the independent effects of different episodes. Only three studies examined hypothesised mechanisms. Prenatal, postnatal, and later episodes of depression were all predictive of antisocial outcomes. One particular time period of depression exposure did not emerge as more predictive of offspring ASB than another. However, measures of maternal depression after the perinatal period were limited and typically included a one-off assessment of mothers’ depressive symptoms that was concurrent to the assessment of offspring ASB. When cumulative exposure to maternal depression and specific timing effects were measured within the same study it was cumulative exposure that conferred the greatest risk for offspring ASB—particularly when this exposure began during the perinatal period. Findings are discussed in terms of limitations in the literature and highlight the need for future research to examine the biological and environmental mechanisms that underpin associations between maternal depression and offspring antisocial behaviour during different stages of development.
Study on the prediction of stock price based on the associated network model of LSTM
Authors: Ding Guangyu , Qin Liangxi 
Published: December 2019

AbstractStock market has received widespread attention from investors. It has always been a hot spot for investors and investment companies to grasp the change regularity of the stock market and predict its trend. Currently, there are many methods for stock price prediction. The prediction methods can be roughly divided into two categories: statistical methods and artificial intelligence methods. Statistical methods include logistic regression model, ARCH model, etc. Artificial intelligence methods include multi-layer perceptron, convolutional neural network, naive Bayes network, back propagation network, single-layer LSTM, support vector machine, recurrent neural network, etc. But these studies predict only one single value. In order to predict multiple values in one model, it need to design a model which can handle multiple inputs and produces multiple associated output values at the same time. For this purpose, it is proposed an associated deep recurrent neural network model with multiple inputs and multiple outputs based on long short-term memory network. The associated network model can predict the opening price, the lowest price and the highest price of a stock simultaneously. The associated network model was compared with LSTM network model and deep recurrent neural network model. The experiments show that the accuracy of the associated model is superior to the other two models in predicting multiple values at the same time, and its prediction accuracy is over 95%.
Performance bookkeeping for aircraft configurations with fuselage wake-filling propulsion integration
Authors: Habermann A. L. , Bijewitz J. , Seitz A. , Hornung M. 
Published: December 2019

AbstractThe aim of this research is the identification of a unified bookkeeping and evaluation scheme for the integrated performance analysis of a boundary layer ingesting (BLI) concept in the conceptual design phase. A thorough review and classification of existing performance bookkeeping schemes suits as a basis for the derivation of a bookkeeping scheme suitable for the initial sizing as well as detailed design analysis during the conceptual phase of a BLI concept. Figures of merit for the concept performance assessment are evaluated with regard to the requirements of aircraft multidisciplinary conceptual design. Based on the survey, the most practical integral momentum conservation approach is deduced and its application to integrated conceptual sizing and a subsequent design analysis is evaluated. The proposed scheme is universally applicable to coupled airframe–propulsion aircraft concepts, compatible with standard aircraft and propulsion system sizing tools and, under certain assumptions, deployable for low- and high-fidelity evaluation methods. Finally, several figures of merit are selected to cover a range of design aspects in the BLI evaluation.
Triterpenoids from Ainsliaea latifolia and Their Cyclooxyenase-2 (COX-2) Inhibitory Activities
Authors: Yuan Wen-Lin , Dong Xue-Yun , Huang Zheng-Rui , Xiao Si-Jia , Ye Ji , Tian Xin-Hui , Li Hui-Liang , Shen Yun-Heng , Zhang Wei-Dong 
Published: December 2019

Abstract
Eight new triterpenoids were isolated from Ainsliaea latifolia. The structures of these compounds were elucidated by interpretation of spectroscopic data, including HRESIMS and NMR data. Compounds 4–6 are identified as rare trinorcucurbitane or tetranorcucurbitane triterpenoids. The absolute configurations of compounds 1 and 2 were confirmed by Snatzke’s method. All compounds were evaluated for their inhibition against cyclooxyenase-2 (COX-2), in which compound 4 showed significant inhibitory effect against COX-2 with IC50 value of 3.98 ± 0.32 μM, comparable to that of positive control NS-398 (IC50 4.14 ± 0.28 μM).

Graphic Abstract
Performance optimization of polymeric porous membrane-based liquid desiccant air dehumidifier used in air conditioning system
Authors: Jafarpour Ali Mohammad , Fazelpour Farivar , Mousavi Seyyed Abbas 
Published: December 2019

AbstractIn this study an experimental design was developed to optimize the performance and structure of a membrane-based parallel-plate liquid desiccant dehumidifier used in air conditioning regeneration system which operates under high humidity weather conditions. We conducted a series of polymeric porous membranes with different compositions fabricated that were prepared with various weight percentages of polysulfone (PSU), mixed with N-methyl-2-pyrrolidone (NMP) and dimethyl form amide (DMF) solvents. Furthermore, the designed experiments were performed under various operating conditions, indicating that the dehumidification efficiency declines with increasing flow rate, temperature, and humidity. Consequently, a membrane with optimized porosity and moisture permeability was selected which resulted in eliminating the carryover of solution droplets in the air, largely due to separating the flow condition of liquid desiccant (Li Cl) and air. This specific design is also greatly benefited by removing the water vapor from the air stream. The results of mathematical model simulations indicate that the DMF solvent had higher dehumidification capability compared with that of NMP under the optimized operating conditions. Additionally, it can clarify the porosity of the membrane which plays a significant role in the overall performance. Therefore, the fabricated membrane produces fresh cool air, and it can be applied as a guiding sample for designing the membrane-based dehumidifier with improved performance.
Low‐Latitude Whistler‐Wave Spectra and Polarization From VEFI and CINDI Payloads on C/NOFS Satellite
Authors: Jacobson Abram R. , Holzworth Robert H. , Pfaff Robert , Heelis Roderick 
Published: December 2019

AbstractThe Communication/Navigation Outage Forecast System (C/NOFS) satellite's VEFI payload performed frequent recordings of the vector electric field in the band 0–16 kHz during the epoch 2008–2014. The Vector Electric Field Instrument (VEFI) was supported by ion‐composition data from the Coupled Ion Neutral Dynamics Investigation (CINDI) instrument. We focus here on statistics of these “burst‐mode” recordings, of which 6,890 (mostly ~12‐s duration) records meet stringent quality‐control criteria, allowing inference of the wave vector k and its orientation relative to the Earth's magnetic field B0. The 6,890 records occur between ±13° (geographic) latitude and between ~ 400‐ and 850‐km altitude, mostly in the topside ionosphere. The wave activity is dominated by terrestrial lightning. We analyze the whistler‐wave intensity and polarization for each pixel in the time‐frequency spectrogram for each record. We then gather weighted statistics on wave polarization, naturally weighted by wave intensity. In this manner we arrive at statistical results that represent the bulk of the energy flow due to whistler waves. Despite rather nonstationary statistics, we can reach three empirical results.

We see no evidence of a low‐latitude suppression of whistler‐wave activity, in contrast to the predictions of models of transmission through a laminar ionosphere.
The wave vector polar angle is always in the range 40° to 90° from parallel to B0. This indicates that the propagation at low latitudes is dominated by oblique, not ducted, whistlers.
At the lowest magnetic latitudes, the wave vector polar angle with respect to B0 becomes nearly 90°.
Individual prediction of psychotherapy outcome in posttraumatic stress disorder using neuroimaging data
Authors: Zhutovsky Paul , Thomas Rajat M. , Olff Miranda , van Rooij Sanne J. H. , Kennis Mitzy , van Wingen Guido A. , Geuze Elbert 
Published: December 2019

AbstractTrauma-focused psychotherapy is the first-line treatment for posttraumatic stress disorder (PTSD) but 30–50% of patients do not benefit sufficiently. We investigated whether structural and resting-state functional magnetic resonance imaging (MRI/rs-fMRI) data could distinguish between treatment responders and non-responders on the group and individual level. Forty-four male veterans with PTSD underwent baseline scanning followed by trauma-focused psychotherapy. Voxel-wise gray matter volumes were extracted from the structural MRI data and resting-state networks (RSNs) were calculated from rs-fMRI data using independent component analysis. Data were used to detect differences between responders and non-responders on the group level using permutation testing, and the single-subject level using Gaussian process classification with cross-validation. A RSN centered on the bilateral superior frontal gyrus differed between responders and non-responder groups (PFWE < 0.05) while a RSN centered on the pre-supplementary motor area distinguished between responders and non-responders on an individual-level with 81.4% accuracy (P < 0.001, 84.8% sensitivity, 78% specificity and AUC of 0.93). No significant single-subject classification or group differences were observed for gray matter volume. This proof-of-concept study demonstrates the feasibility of using rs-fMRI to develop neuroimaging biomarkers for treatment response, which could enable personalized treatment of patients with PTSD.
Feasibility of kilohertz frequency alternating current neuromodulation of carotid sinus nerve activity in the pig
Authors: Fjordbakk Cathrine T. , Miranda Jason A. , Sokal David , Donegà Matteo , Viscasillas Jaime , Stathopoulou Thaleia-Rengina , Chew Daniel J. , Perkins Justin D. 
Published: December 2019

AbstractRecent research supports that over-activation of the carotid body plays a key role in metabolic diseases like type 2 diabetes. Supressing carotid body signalling through carotid sinus nerve (CSN) modulation may offer a therapeutic approach for treating such diseases. Here we anatomically and histologically characterised the CSN in the farm pig as a recommended path to translational medicine. We developed an acute in vivo porcine model to assess the application of kilohertz frequency alternating current (KHFAC) to the CSN of evoked chemo-afferent CSN responses. Our results demonstrate the feasibility of this approach in an acute setting, as KHFAC modulation was able to successfully, yet variably, block evoked chemo-afferent responses. The observed variability in blocking response is believed to reflect the complex and diverse anatomy of the porcine CSN, which closely resembles human anatomy, as well as the need for optimisation of electrodes and parameters for a human-sized nerve. Overall, these results demonstrate the feasibility of neuromodulation of the CSN in an anesthetised large animal model, and represent the first steps in driving KHFAC modulation towards clinical translation. Chronic recovery disease models will be required to assess safety and efficacy of this potential therapeutic modality for application in diabetes treatment.
Genetics of cognitive trajectory in Brazilians: 15 years of follow-up from the Bambuí-Epigen Cohort Study of Aging
Authors: Gouveia Mateus H. , Cesar Cibele C. , Santolalla Meddly L. , Anna Hanaisa P. Sant , Scliar Marilia O. , Leal Thiago P. , Araújo Nathalia M. , Soares-Souza Giordano B. , Magalhães Wagner C. S. , Mata Ignacio F. , Ferri Cleusa P. , Castro-Costa Erico , Mbulaiteye Sam M. , Tishkoff Sarah A. , Shriner Daniel , Rotimi Charles N. , Tarazona-Santos Eduardo , Lima-Costa Maria Fernanda 
Published: December 2019

AbstractAge-related cognitive decline (ACD) is the gradual process of decreasing of cognitive function over age. Most genetic risk factors for ACD have been identified in European populations and there are no reports in admixed Latin American individuals. We performed admixture mapping, genome-wide association analysis (GWAS), and fine-mapping to examine genetic factors associated with 15-year cognitive trajectory in 1,407 Brazilian older adults, comprising 14,956 Mini-Mental State Examination measures. Participants were enrolled as part of the Bambuí-Epigen Cohort Study of Aging. Our admixture mapping analysis identified a genomic region (3p24.2) in which increased Native American ancestry was significantly associated with faster ACD. Fine-mapping of this region identified a single nucleotide polymorphism (SNP) rs142380904 (β = −0.044, SE = 0.01, p = 7.5 × 10−5) associated with ACD. In addition, our GWAS identified 24 associated SNPs, most in genes previously reported to influence cognitive function. The top six associated SNPs accounted for 18.5% of the ACD variance in our data. Furthermore, our longitudinal study replicated previous GWAS hits for cognitive decline and Alzheimer’s disease. Our 15-year longitudinal study identified both ancestry-specific and cosmopolitan genetic variants associated with ACD in Brazilians, highlighting the need for more trans-ancestry genomic studies, especially in underrepresented ethnic groups.
Peripheral blood mononuclear cell transcriptomes reveal an over-representation of down-regulated genes associated with immunity in HIV-exposed uninfected infants
Authors: Musimbi Zaneta D. , Rono Martin K. , Otieno James R. , Kibinge Nelson , Ochola-Oyier Lynette Isabella , de Villiers Etienne Pierre , Nduati Eunice W. 
Published: December 2019

AbstractHIV-exposed uninfected (HEU) infants are disproportionately at a higher risk of morbidity and mortality, as compared to HIV-unexposed uninfected (HUU) infants. Here, we used transcriptional profiling of peripheral blood mononuclear cells to determine immunological signatures of in utero HIV exposure. We identified 262 differentially expressed genes (DEGs) in HEU compared to HUU infants. Weighted gene co-expression network analysis (WGCNA) identified six modules that had significant associations with clinical traits. Functional enrichment analysis on both DEGs and the six significantly associated modules revealed an enrichment of G-protein coupled receptors and the immune system, specifically affecting neutrophil function and antibacterial responses. Additionally, malaria pathogenicity genes (thrombospondin 1-(THBS 1), interleukin 6 (IL6), and arginine decarboxylase 2 (ADC2)) were down-regulated. Of interest, the down-regulated immunity genes were positively correlated to the expression of epigenetic factors of the histone family and high-mobility group protein B2 (HMGB2), suggesting their role in the dysregulation of the HEU transcriptional landscape. Overall, we show that genes primarily associated with neutrophil mediated immunity were repressed in the HEU infants. Our results suggest that this could be a contributing factor to the increased susceptibility to bacterial infections associated with higher morbidity and mortality commonly reported in HEU infants.
Phase transitions, collective emotions and decision-making problem in heterogeneous social systems
Authors: Tsarev Dmitriy , Trofimova Anastasiia , Alodjants Alexander , Khrennikov Andrei 
Published: December 2019

AbstractThe paper considers the problem of collective decision-making as a second order phase-transition, which occurs in heterogeneous information-oriented communities possessing frequent information exchange between individuals. We examine the quantum-like model of simplified two-level cognitive systems (TLCS) interacting with a socially important (contextual) information field. The model exploits approaches to the modern social cohesion framework. We refer to some target network community, which is in close interaction (e.g. message exchange) with “reservour” (large network community) possessing infinite degree of freedom. We introduce a new approach for valence and arousal variables, used in cognitive sciences for the description of collective emotion states. We express them via collective polarization and population imbalance respectively. The model predicts a super-radiant phase transition for target network community leading to coherent polarization establishment in the socium. The valence and arousal parameters can be evaluated from actrors behaviour in social network communities as a result of immediate response (decision-making) to some notable news. We introduce Gaussian and Levy distribution functions to reveal the influence of social community inhomogeneity on decision-making features. We show that a critical (social) temperature is determined by the population imbalance (valence), detuning, field coupling strength parameter and relay to conditions of social polarization establishment. We predict coherent social energy release in a community without inversion due to its specific properties close to the superfluid paradigm in quantum physics, or social cohesion in sociology. We establish a connection of our model to the recently presented quantum-like model of the social laser to describe the waves of social protests as the result of collective decision-making process in the system with inversion of population in mental states. Finally, we compare our model with existing social impact models, a.k.a. cellular automata models, in the limit when social community perceives information field in the state induced by large information reservoir (mass-media). Notably, eliminating quantized field we lose important information how collective emotions (arousal) form in social community.
Assessment of TP53 lesions for p53 system functionality and drug resistance in multiple myeloma using an isogenic cell line model
Authors: Munawar Umair , Roth Markus , Barrio Santiago , Wajant Harald , Siegmund Daniela , Bargou Ralf C. , Kortüm K. Martin , Stühmer Thorsten 
Published: December 2019

AbstractRecent advances in molecular diagnostics have shown that lesions affecting both copies of the gene for tumor suppressor protein 53 (TP53) count among the most powerful predictors for high-risk disease in multiple myeloma (MM). However, the functional relevance and potential therapeutic implications of single hits to TP53 remain less well understood. Here, we have for the first time approximated the different constellations of mono- and bi-allelic TP53 lesions observed in MM patients within the frame of a single MM cell line model and assessed their potential to disrupt p53 system functionality and to impart drug resistance. Both types of common first hit: point mutation with expression of mutant p53 protein or complete loss of contribution from one of two wildtype alleles strongly impaired p53 system functionality and increased resistance to melphalan. Second hits abolished remaining p53 activity and increased resistance to genotoxic drugs even further. These results fit well with the clinical drive to TP53 single- and double-hit disease in MM patients, provide a rationale for the most commonly observed double-hit constellation (del17p+ TP53 point mutation), and underscore the potential increases in MM cell malignancy associated with any type of initial TP53 lesion.