bluuebunny/crossref_metadata_2025_split huggingface dataset:
Physical Health Complaints in Adolescents
Authors: Lovis-Schmidt Avelina , Bilz Ludwig , Pahlke Kyra , Rindermann Heiner 
Published: February 2022

Abstract. Background: Some of the physical health complaints adolescents have, such as headaches and stomachaches, cannot be explained on a somatic level. It is unclear which psychological factors can explain these complaints: stress and social support are often discussed, but emotions rarely are. Aims: This cross-sectional study aims to use social support, stress, the tendency toward negative emotions, and health behaviors to predict physical health complaints in adolescents. Method: The 2018 HBSC (Health Behavior in School-aged Children) data from the German state of Brandenburg was analyzed via structural equation and path modeling ( N = 3,068, age M = 13.05). Results: Results showed that the tendency toward negative emotions seems to be a better predictor for health complaints (β = .35) than stress (β = .17), and even better suited than social support (β = −.08) or health behavior (β = −.06 to β = .16). In the analysis of specific emotions (anger, sadness, and fear), correlations were low and between sadness and complaints they were highest (average β = .19). Limitations: The present cross-sectional study could not examine long-term outcomes. In addition, the results are limited to only a few physical complaints. Future long-term studies should examine multiple disease symptoms in adolescence. Conclusion: The investigated tendency toward negative emotions demonstrated promising results to better understand the relationship between psychological factors and physical health complaints. As negative emotions were particularly important in predicting physical health, prevention programs for adolescents should focus on dealing with negative emotions to improve their health.
A Study on Local‐Scale Thermal and Dynamical Mechanisms in the Initiation of a Squall Line Under Weak Forcing
Authors: Xiao Xian , Sun Juanzhen , Ji Lei , Zhang Lina , Ying Zhuming , Chen Zhixiong , Chen Mingxuan , Xu Changyi 
Published: February 2022

AbstractA convective system was initiated under weak forcing on the plains near Beijing on the afternoon of 26 June 2009 and developed into a squall line that resulted in heavy precipitation. Prediction of the convective initiation (CI) of the system was challenging due to the lack of precursors detectable by conventional observation networks. In this study, we investigated the CI mechanism using high‐resolution analyses obtained from the Variational Doppler Radar Analysis System via the assimilation of radar and dense surface observations. It was found that the CI was resulted from the interactions of a local cold air mass and the outflows from a weakened storm propagating from the nearby mountains. The cold air mass built up an unstable condition and veered air flow to form a local convergence zone in which moisture was accumulated. New convection was triggered as a result of strengthened convergence when the outflows from the dissipating storm approached the existing convergence zone. To confirm the critical role played by the local cold air mass, sensitivity experiments were conducted using WRF‐FDDA data assimilation and forecast system. The results suggested that the local cold air mass along with the southerly environmental wind and storm outflows exerted a dominant influence on the CI.
Implications of Coastal Conditions and Sea‐Level Rise on Mangrove Vulnerability: A Bio‐Morphodynamic Modeling Study
Authors: Xie Danghan , Schwarz Christian , Kleinhans Maarten G. , Zhou Zeng , van Maanen Barend 
Published: February 2022

AbstractMangrove forests are valuable coastal ecosystems that have been shown to persist on muddy intertidal flats through bio‐morphodynamic feedbacks. However, the role of coastal conditions on mangrove behavior remains uncertain. This study conducts numerical experiments to systematically explore the effects of tidal range, small wind waves, sediment supply and coastal slope on mangrove development under sea‐level rise (SLR). Our results show that mangroves in micro‐tidal conditions are more vulnerable because of the gentler coastal equilibrium slope and the limited ability to capture sediment, which leads to substantial mangrove landward displacement even under slow SLR. Macro‐tidal conditions with large sediment supply promote accretion along the profile and platform formation, reducing mangrove vulnerability for slow and medium SLR, but still cause rapid mangrove retreat under fast SLR. Small wind waves promote sediment accretion, and exert an extra bed shear stress that confines the mangrove forest to higher elevations with more favorable inundation regimes, offsetting SLR impacts. These processes also have important implications for the development of new landward habitats under SLR. In particular, our experiments show that landward habitat can be created even with limited sediment supply and thus without complete infilling of the available accommodation space. Nevertheless, new accommodation space may be filled over time with sediment originating from erosion of the lower coastal profile. Consistent with field data, model simulations indicate that sediment accretion within the forest can accelerate under SLR, but the timing and magnitude of accretion depend non‐linearly on coastal conditions and distance from the mangrove seaward edge.
The Late Miocene‐Early Pliocene Biogenic Bloom in the Eastern Equatorial Pacific: New Insights From Integrated Ocean Drilling Program Site U1335
Authors: Reghellin Daniele , Coxall Helen K. , Dickens Gerald R. , Galeotti Simone , Backman Jan 
Published: February 2022

AbstractThe late Miocene‐early Pliocene “biogenic bloom” (BB) manifests as greatly enhanced biogenic sedimentation in sites along the Equator that has been linked to cooler sea surface temperature (SST) in the eastern equatorial Pacific (EEP). However, the full extent and geometry of the BB in the EEP is less known. To improve on this, we have generated new carbonate content (CaCO3%) and bulk carbonate stable isotope (δ13C and δ18O) records spanning the last 7 Ma at IODP Site U1335, located ca. 5° north of the Equator and to the west of the EEP. Site U1335 δ13C and δ18O records display high‐frequency variations coupled to changes in sediment composition and physical properties comparable to patterns seen at on‐Equator sites further east. During the late Miocene and the early Pliocene bulk δ18O is higher at Site U1335 compared to two off‐Equator sites further east, suggesting cooler SSTs generated by stronger equatorial upwelling reaching northwest of the modern core‐equatorial upwelling belt. Enhanced upwelling at Site U1335 is supported by relatively higher sedimentation rates prior to 4.6 Ma, symptomatic of higher biological production during the BB. These observations suggest that during the BB the equatorial upwelling circulation was more focused and less parallel to the Equator compared to present day.
Distribution Characteristics of the Plasma Irregularities Inside the Mid‐Latitude Ionospheric Trough Based on Swarm In Situ Measurements
Authors: Liu Yiwen , Xie Wenhao , Xiong Chao , Ye Ting , Wang Yuhao , Wan Xin , Cao Yueyan 
Published: February 2022

AbstractA large number of studies have confirmed the frequent occurrence of mid‐latitude trough irregularities (MTI), but the distribution characteristics of these irregularities are still pending. Based on the Swarm in situ plasma measurements from 2014 to 2020, the dependences of MTI on magnetic local time, season, solar flux, and geomagnetic activities are analyzed. The results show that for the irregularities with scale‐size of about 7.5–75 km. (a) Geomagnetic activity has an obvious inhibitory effect on the formation of MTI, regardless on the dayside or nightside. (b) The daytime MTI occurrence rate is significantly higher than that at nighttime, and the difference between the poleward wall and equatorward wall during daytime is higher than that at nighttime. (c) The dayside MTI occurrence rate appears highest in winter and lowest in summer, but the nightside MTI occurrence rate appears highest in equinoxes and lowest in winter. (d) The nightside MTI show lower occurrence rate under high solar activity conditions, but no obvious solar activity influence is shown on the dayside. It is suggested that the temperature gradient instability plays an important role in causing the seasonal effect of the nightside MTI, but cannot directly support the solar activity effect. The relatively low nightside MTI occurrence rate in high solar activity years probably results from the relatively small electron temperature gradient. It is speculated that the formation of nightside MTI not only requires the antiparallel conditions of density gradient and temperature gradient, but may also needs to meet the enough large magnitude of the two gradients.
Rare variants in IFFO1, DTNB, NLRC3 and SLC22A10 associate with Alzheimer’s disease CSF profile of neuronal injury and inflammation
Authors: Neumann Alexander , Küçükali Fahri , Bos Isabelle , Vos Stephanie J. B. , Engelborghs Sebastiaan , De Pooter Tim , Joris Geert , De Rijk Peter , De Roeck Ellen , Tsolaki Magda , Verhey Frans , Martinez-Lage Pablo , Tainta Mikel , Frisoni Giovanni , Blin Oliver , Richardson Jill , Bordet Régis , Scheltens Philip , Popp Julius , Peyratout Gwendoline , Johannsen Peter , Frölich Lutz , Vandenberghe Rik , Freund-Levi Yvonne , Streffer Johannes , Lovestone Simon , Legido-Quigley Cristina , ten Kate Mara , Barkhof Frederik , Strazisar Mojca , Zetterberg Henrik , Bertram Lars , Visser Pieter Jelle , van Broeckhoven Christine , Sleegers Kristel ,   EMIF-AD study group, Neumann Alexander , Küçükali Fahri , Bos Isabelle , Vos Stephanie J. B. , Engelborghs Sebastiaan , De Roeck Ellen , Tsolaki Magda , Verhey Frans , Martinez-Lage Pablo , Tainta Mikel , Frisoni Giovanni , Blin Oliver , Richardson Jill , Bordet Régis , Scheltens Philip , Popp Julius , Peyratout Gwendoline , Johannsen Peter , Frölich Lutz , Vandenberghe Rik , Freund-Levi Yvonne , Streffer Johannes , Lovestone Simon , Legido-Quigley Cristina , ten Kate Mara , Barkhof Frederik , Zetterberg Henrik , Bertram Lars , Visser Pieter Jelle , van Broeckhoven Christine , Sleegers Kristel 
Published: February 2022

AbstractAlzheimer’s disease (AD) biomarkers represent several neurodegenerative processes, such as synaptic dysfunction, neuronal inflammation and injury, as well as amyloid pathology. We performed an exome-wide rare variant analysis of six AD biomarkers (β-amyloid, total/phosphorylated tau, NfL, YKL-40, and Neurogranin) to discover genes associated with these markers. Genetic and biomarker information was available for 480 participants from two studies: EMIF-AD and ADNI. We applied a principal component (PC) analysis to derive biomarkers combinations, which represent statistically independent biological processes. We then tested whether rare variants in 9576 protein-coding genes associate with these PCs using a Meta-SKAT test. We also tested whether the PCs are intermediary to gene effects on AD symptoms with a SMUT test. One PC loaded on NfL and YKL-40, indicators of neuronal injury and inflammation. Four genes were associated with this PC: IFFO1, DTNB, NLRC3, and SLC22A10. Mediation tests suggest, that these genes also affect dementia symptoms via inflammation/injury. We also observed an association between a PC loading on Neurogranin, a marker for synaptic functioning, with GABBR2 and CASZ1, but no mediation effects. The results suggest that rare variants in IFFO1, DTNB, NLRC3, and SLC22A10 heighten susceptibility to neuronal injury and inflammation, potentially by altering cytoskeleton structure and immune activity disinhibition, resulting in an elevated dementia risk. GABBR2 and CASZ1 were associated with synaptic functioning, but mediation analyses suggest that the effect of these two genes on synaptic functioning is not consequential for AD development.
Hydrogen trapping and embrittlement in high-strength Al alloys
Authors: Zhao Huan , Chakraborty Poulami , Ponge Dirk , Hickel Tilmann , Sun Binhan , Wu Chun-Hung , Gault Baptiste , Raabe Dierk 
Published: February 2022

AbstractEver more stringent regulations on greenhouse gas emissions from transportation motivate efforts to revisit materials used for vehicles1. High-strength aluminium alloys often used in aircrafts could help reduce the weight of automobiles, but are susceptible to environmental degradation2,3. Hydrogen ‘embrittlement’ is often indicated as the main culprit4; however, the exact mechanisms underpinning failure are not precisely known: atomic-scale analysis of H inside an alloy remains a challenge, and this prevents deploying alloy design strategies to enhance the durability of the materials. Here we performed near-atomic-scale analysis of H trapped in second-phase particles and at grain boundaries in a high-strength 7xxx Al alloy. We used these observations to guide atomistic ab initio calculations, which show that the co-segregation of alloying elements and H favours grain boundary decohesion, and the strong partitioning of H into the second-phase particles removes solute H from the matrix, hence preventing H embrittlement. Our insights further advance the mechanistic understanding of H-assisted embrittlement in Al alloys, emphasizing the role of H traps in minimizing cracking and guiding new alloy design.
Mechanism-based traps enable protease and hydrolase substrate discovery
Authors: Tang Shan , Beattie Adam T. , Kafkova Lucie , Petris Gianluca , Huguenin-Dezot Nicolas , Fiedler Marc , Freeman Matthew , Chin Jason W. 
Published: February 2022

AbstractHydrolase enzymes, including proteases, are encoded by 2–3% of the genes in the human genome and 14% of these enzymes are active drug targets1. However, the activities and substrate specificities of many proteases—especially those embedded in membranes—and other hydrolases remain unknown. Here we report a strategy for creating mechanism-based, light-activated protease and hydrolase substrate traps in complex mixtures and live mammalian cells. The traps capture substrates of hydrolases, which normally use a serine or cysteine nucleophile. Replacing the catalytic nucleophile with genetically encoded 2,3-diaminopropionic acid allows the first step reaction to form an acyl-enzyme intermediate in which a substrate fragment is covalently linked to the enzyme through a stable amide bond2; this enables stringent purification and identification of substrates. We identify new substrates for proteases, including an intramembrane mammalian rhomboid protease RHBDL4 (refs. 3,4). We demonstrate that RHBDL4 can shed luminal fragments of endoplasmic reticulum-resident type I transmembrane proteins to the extracellular space, as well as promoting non-canonical secretion of endogenous soluble endoplasmic reticulum-resident chaperones. We also discover that the putative serine hydrolase retinoblastoma binding protein 9 (ref. 5) is an aminopeptidase with a preference for removing aromatic amino acids in human cells. Our results exemplify a powerful paradigm for identifying the substrates and activities of hydrolase enzymes.
The natural reduction of threat in selected systems of old buildings containing asbestos
Authors: Obmiński Andrzej 
Published: February 2022

AbstractThe aim of this study was to measure changes in asbestos dust concentrations over extended use in old building systems. Buildings from different systems during their service lifetimes and after asbestos removal were tested. Asbestos dust concentrations decreased in all building systems due to air exchange and other phenomena in the absence of new active dust sources. Currently, with proper use of those buildings, average values of dust concentrations did not exceed 300–400 f/m3 with a downward trend to < 300 f/m3. The results of these studies were obtained with a modified optical microscopy technique, verified by SEM and TEM methods. The graphical trends in concentration changes over longer periods illustrate the potency of opposing factors reducing and increasing indoor air pollution. If removal asbestos work was not carried out carefully, single measurements conducted in the short-term and mandated immediately after asbestos removal may not detect hazards that appear over time. Monitoring buildings over longer periods allows detection of significant contamination changes. In many cases, the minimal air contamination undermines the desirability of removing asbestos in old buildings.
Validation of a roughness parameters for defining surface roughness of prosthetic polyethylene Pe-Lite liner
Authors: Hamzah Nur Afiqah , Razak Nasrul Anuar Abd , Karim Mohd Sayuti Ab , Salleh Siti Zuliana 
Published: February 2022

AbstractThe Biosculptor's CNC milling machine, the Biomill, offered four different surfaces machined on positive models. This study aims to adopt the surface topography method in characterizing the four different surface roughness of polyethylene Pe-Lite liner as a product of the Biomill. Three surface parameters chosen were the arithmetic average (Ra), root mean square roughness (Rq), and ten-point height (Rz). The surface parameters were used to define the four different surfaces (STANDARD, FINE, COARSE, and FAST) and then compared with the same liner material from a conventionally fabricated socket. The Ra values of the conventional liner, 8.43 μm, were determined to be in-between the Ra values of STANDARD and FAST surfaces which were 8.33 μm and 8.58 μm respectively. STANDARD surface required 43.2 min to be carved while FAST surface took almost only a third of the time compared to STANDARD surface (conventional socket takes 2–3 days). The results of this study would be one of the guidelines to the prosthetists using the Biosculptor in socket fabrication to produce sockets according to the suitable surface to cater to different requirements and levels of activity of each amputee.
A machine learning model for predicting deterioration of COVID-19 inpatients
Authors: Noy Omer , Coster Dan , Metzger Maya , Atar Itai , Shenhar-Tsarfaty Shani , Berliner Shlomo , Rahav Galia , Rogowski Ori , Shamir Ron 
Published: February 2022

AbstractThe COVID-19 pandemic has been spreading worldwide since December 2019, presenting an urgent threat to global health. Due to the limited understanding of disease progression and of the risk factors for the disease, it is a clinical challenge to predict which hospitalized patients will deteriorate. Moreover, several studies suggested that taking early measures for treating patients at risk of deterioration could prevent or lessen condition worsening and the need for mechanical ventilation. We developed a predictive model for early identification of patients at risk for clinical deterioration by retrospective analysis of electronic health records of COVID-19 inpatients at the two largest medical centers in Israel. Our model employs machine learning methods and uses routine clinical features such as vital signs, lab measurements, demographics, and background disease. Deterioration was defined as a high NEWS2 score adjusted to COVID-19. In the prediction of deterioration within the next 7–30 h, the model achieved an area under the ROC curve of 0.84 and an area under the precision-recall curve of 0.74. In external validation on data from a different hospital, it achieved values of 0.76 and 0.7, respectively.
Prevalence and associations of metabolic syndrome in patients with alcohol use disorder
Authors: Hernández-Rubio Anna , Sanvisens Arantza , Bolao Ferran , Cachón-Suárez Isabel , Garcia-Martín Carme , Short Antoni , Bataller Ramón , Muga Roberto 
Published: February 2022

AbstractExcessive alcohol consumption has been associated with different components of the metabolic syndrome (MetS) such as arterial hypertension, dyslipidemia, type 2 diabetes or obesity. We aimed to analyze the prevalence and associations of MetS in patients with Alcohol Use Disorder (AUD). Cross-sectional study in heavy drinkers admitted for the treatment of AUD between 2013 and 2017. Medical comorbidity, anthropometric data, alcohol use and biological parameters were obtained. MetS was established according to the harmonized definition. A total of 728 patients (22% women) were included; median age was 47 years (IQR: 40–53.5), median alcohol consumption was 160 g/day (IQR: 115–240) and prevalence of MetS was 13.9%. The multivariate analysis showed a significant dose–response effect of estimated glomerular filtration (eGFR) and MetS: relative to patients with eGFR > 90 mL/min, those with eGFR (60–90 mL/min) and those with eGFR < 60 mL/min were 1.93 times (95% CI 1.18–3.15) and 5.61 times (95% CI 1.66–19.0) more likely to have MetS, respectively. MetS was significantly associated with hyperuricemia (OR 2.28, 95% CI 1.36–3.82) and elevated serum GGT (OR 3.67, 95% CI 1.80–7.46). Furthermore, for every increase of 1 year in age, the probability of MetS increased significantly (OR 1.03, 95% CI 1.01–1.05). MetS in heavy drinkers is independently associated with reduced kidney function and metabolic risk factors including hyperuricemia and elevated serum GGT.
Lognormals, power laws and double power laws in the distribution of frequencies of harmonic codewords from classical music
Authors: Serra-Peralta Marc , Serrà Joan , Corral Álvaro 
Published: February 2022

AbstractZipf’s law is a paradigm describing the importance of different elements in communication systems, especially in linguistics. Despite the complexity of the hierarchical structure of language, music has in some sense an even more complex structure, due to its multidimensional character (melody, harmony, rhythm, timbre, etc.). Thus, the relevance of Zipf’s law in music is still an open question. Using discrete codewords representing harmonic content obtained from a large-scale analysis of classical composers, we show that a nearly universal Zipf-like law holds at a qualitative level. However, in an in-depth quantitative analysis, where we introduce the double power-law distribution as a new player in the classical debate between the superiority of Zipf’s (power) law and that of the lognormal distribution, we conclude not only that universality does not hold, but also that there is not a unique probability distribution that best describes the usage of the different codewords by each composer.
Retrospective identification of medication related adverse events in the emergency medical services through the analysis of a patient safety register
Authors: Howard Ian , Howland Ian , Castle Nicholas , Al Shaikh Loua , Owen Robert 
Published: February 2022

AbstractAdverse drug events encompass a wide range of potential unintended and harmful events, from adverse drug reactions to medication errors, many of which in retrospect, are considered preventable. However, the primary challenge towards reducing their burden lies in consistently identifying and monitoring these occurrences, a challenge faced across the spectrum of healthcare, including the emergency medical services. The aim of this study was to identify and describe medication related adverse events (AEs) in the out-of-hospital setting. The medication components of a dedicated patient safety register were analysed and described for the period Jan 2017–Sept 2020. Univariate descriptive analysis was used to summarize and report on basic case and patient demographics, intervention related AEs, medication related AEs, and AE severity. Multivariable logistic regression was used to assess the odds of AE severity, by AE type. A total of 3475 patient records were assessed where 161 individual medication AEs were found in 150 (4.32%), 12 of which were categorised as harmful. Failure to provide a required medication was found to be the most common error (1.67%), followed by the administration of medications outside of prescribed practice guidelines (1.18%). There was evidence to suggest a 63% increase in crude odds of any AE severity [OR 1.63 (95% CI 1.03–2.6), p = 0.035] with the medication only AEs when compared to the intervention only AEs. Prehospital medication related adverse events remain a significant threat to patient safety in this setting and warrant greater widespread attention and future identification of strategies aimed at their reduction.