bluuebunny/crossref_metadata_2025_split huggingface dataset:
Symptomatic atrial bigeminy masquerading as congenital complete heart block
Authors: Mejia Ernesto , Hoyt Walter J. , Snyder Christopher S. 
Published: September 2021

AbstractNewborn male with symptomatic bradycardia initially diagnosed with complete atrioventricular block. Isoproterenol drip was initiated, and the patient was scheduled for pacemaker implantation. During the hospital course, repeat electrocardiogram and Holter monitor revealed evidence of near continuous blocked atrial bigeminy with occasional aberrantly conducted premature atrial contractions. Flecainide was started, resulting in normal sinus rhythm, and the pacemaker implantation was cancelled.
Penetrating Heart Injury Repaired with Peripheral Cannulation: Case Report
Authors: Ovali Cengiz , Kocaoglu Alper Selim , Demirdizen Gürkan , Aydar Yuksel 
Published: September 2021

AbstractHeart injuries usually occur due to penetrating or blunt traumas. High mortality rates are seen in heart injuries, owing to firearms and cutting/piercing tools. Factors such as the degree of injury, its localization, and the length of time to reach the hospital influence mortality rates. Despite the increase in imaging facilities and improvements in hospital transportation in today’s conditions, high mortality rates are still observed, owing to causes such as sudden blood loss, cardiac arrest, or cardiac tamponade. The present study aimed to present the successful treatment of a 46-year-old male patient with injuries to the left atrium and posterior wall of the left ventricle due to a gunshot wound using the approach of median sternotomy and peripheral cannulation.
Costing recommended (healthy) and current (unhealthy) diets in urban and inner regional areas of Australia using remote price collection methods
Authors: Zorbas Christina , Brooks Ruby , Bennett Rebecca , Lee Amanda , Marshall Josephine , Naughton Shaan , Lewis Meron , Peeters Anna , Backholer Kathryn 
Published: September 2021

AbstractObjective:To compare the cost and affordability of two fortnightly diets (representing the national guidelines and current consumption) across areas containing Australia’s major supermarkets.Design:The Healthy Diets Australian Standardised Affordability and Pricing protocol was used.Setting:Price data were collected online and via phone calls in fifty-one urban and inner regional locations across Australia.Participants:Not applicable.Results:Healthy diets were consistently less expensive than current (unhealthy) diets. Nonetheless, healthy diets would cost 25–26 % of the disposable income for low-income households and 30–31 % of the poverty line. Differences in gross incomes (the most available income metric which overrepresents disposable income) drove national variations in diet affordability (from 14 % of the median gross household incomes in the Australian Capital Territory and Northern Territory to 25 % of the median gross household income in Tasmania).Conclusions:In Australian cities and regional areas with major supermarkets, access to affordable diets remains problematic for families receiving low incomes. These findings are likely to be exacerbated in outer regional and remote areas (not included in this study). To make healthy diets economically appealing, policies that reduce the (absolute and relative) costs of healthy diets and increase the incomes of Australians living in poverty are required.
Versatile and non-versatile occupational back-support exoskeletons: A comparison in laboratory and field studies
Authors: Poliero Tommaso , Sposito Matteo , Toxiri Stefano , Di Natali Christian , Iurato Matteo , Sanguineti Vittorio , Caldwell Darwin G. , Ortiz Jesús 
Published: September 2021

Abstract
Assistive strategies for occupational back-support exoskeletons have focused, mostly, on lifting tasks. However, in occupational scenarios, it is important to account not only for lifting but also for other activities. This can be done exploiting human activity recognition algorithms that can identify which task the user is performing and trigger the appropriate assistive strategy. We refer to this ability as exoskeleton versatility. To evaluate versatility, we propose to focus both on the ability of the device to reduce muscle activation (efficacy) and on its interaction with the user (dynamic fit). To this end, we performed an experimental study involving

$ 10 $

healthy subjects replicating the working activities of a manufacturing plant. To compare versatile and non-versatile exoskeletons, our device, XoTrunk, was controlled with two different strategies. Correspondingly, we collected muscle activity, kinematic variables and users’ subjective feedbacks. Also, we evaluated the task recognition performance of the device. The results show that XoTrunk is capable of reducing muscle activation by up to

$ 40\% $

in lifting and

$ 30\% $

in carrying. However, the non-versatile control strategy hindered the users’ natural gait (e.g.,

$ -24\% $

reduction of hip flexion), which could potentially lower the exoskeleton acceptance. Detecting carrying activities and adapting the control strategy, resulted in a more natural gait (e.g.,

$ +9\% $

increase of hip flexion). The classifier analyzed in this work, showed promising performance (online accuracy > 91%). Finally, we conducted 9 hours of field testing, involving four users. Initial subjective feedbacks on the exoskeleton versatility, are presented at the end of this work.
Ranking Forest Effects on Snow Storage: A Decision Tool for Forest Management
Authors: Dickerson‐Lange Susan E. , Vano Julie A. , Gersonde Rolf , Lundquist Jessica D. 
Published: September 2021

AbstractForests modify snow accumulation and ablation rates as well as overall snow storage amounts and durations, with multiple processes acting simultaneously and often in different directions. To synthesize complex forest–snow relations and help guide near‐term management decisions, we present a decision tree. The framework is based on a hypothesized hierarchy of processes and associated variables that predict forest effects on snow storage. In locations with high wind speeds, forests enhance snow storage magnitude and duration relative to open areas. Where wind speeds are low, and winter and spring air temperatures are colder, forests diminish snow storage magnitude but enhance duration. Where air temperatures are warmer, forests diminish both snow magnitude and duration. Forest structure and aspect are secondary influences. We apply the decision tree framework to map the influence of forests on snow storage under historic climate conditions across the western United States, but this decision tree is applicable in any region with forests and snow. This framework provides practitioners a first‐step evaluation to guide management decisions that consider where and how forests can be managed to optimize in situ water storage alongside other objectives, such as reducing wildfire hazard. This framework also articulates geospatial hypotheses, in order of anticipated importance, to be tested in future investigations of forest–snow–climate relations.
Data‐Driven Worldwide Quantification of Large‐Scale Hydroclimatic Covariation Patterns and Comparison With Reanalysis and Earth System Modeling
Authors: Ghajarnia Navid , Kalantari Zahra , Destouni Georgia 
Published: September 2021

AbstractLarge‐scale covariations of freshwater fluxes and storages on land can critically regulate the balance of green (evapotranspiration) and blue (runoff) water fluxes, and related land‐atmosphere interactions and hydroclimatic hazards. Such large‐scale covariation patterns are not evident from smaller‐scale hydrological studies that have been most common so far, and remain largely unknown for various regions and climates around the world. To contribute to bridging the large‐scale knowledge gaps, we synthesize and decipher hydroclimatic data time series over the period 1980–2010 for 6,405 catchments around the world. From observation‐based data, we identify dominant large‐scale linear covariation patterns between monthly freshwater fluxes and soil moisture (SM) for different world parts and climates. These covariation patterns are also compared with those obtained from reanalysis products and Earth System Models (ESMs). The observation‐based data sets robustly show the strongest large‐scale hydrological relationship to be that between SM and runoff (R), consistently across the study catchments and their different climate characteristics. This predominantly strongest covariation between monthly SM and R is also the most misrepresented by ESMs and reanalysis products, followed by that between monthly precipitation and R. Comparison of observation‐based and ESM results also shows that an ESM may perform well for individual monthly variables, but fail in representing the patterns of large‐scale linear covariations between them. Observation‐based quantification of these patterns, and ESM and reanalysis improvements for their representation are essential for fundamental understanding, and more accurate and reliable modeling and projection of large‐scale hydrological conditions and changes under ongoing global and regional change.
A Joint Soil‐Vegetation‐Atmospheric Modeling Procedure of Water Isotopologues: Implementation and Application to Different Climate Zones With WRF‐Hydro‐Iso
Authors: Arnault Joël , Jung Gerlinde , Haese Barbara , Fersch Benjamin , Rummler Thomas , Wei Jianhui , Zhang Zhenyu , Kunstmann Harald 
Published: September 2021

AbstractWater isotopologues, as natural tracers of the hydrological cycle on Earth, provide a unique way to assess the skill of climate models in representing realistic atmospheric‐terrestrial water pathways. This study presents the newly developed WRF‐Hydro‐iso, which is a version of the coupled atmospheric‐hydrological WRF‐Hydro model enhanced with a joint soil‐vegetation‐atmospheric description of water isotopologue motions. It allows the consideration of isotopic fractionation processes during water phase changes in the atmosphere, the land surface, and the subsurface. For validation, WRF‐Hydro‐iso is applied to two different climate zones, namely Europe and Southern Africa under the present climate conditions. Each case is modeled with a domain employing a 5 km grid‐spacing coupled with a terrestrial subgrid employing a 500 m grid‐spacing in order to represent lateral terrestrial water flow. A 10‐year slice is simulated for 2003–2012, using ERA5 reanalyses as driving data. The boundary condition of isotopic variables is prescribed with mean values from a 10‐year simulation with the Community Earth System Model Version 1. WRF‐Hydro‐iso realistically reproduces the climatological variations of the isotopic concentrations and from the Global Network of Isotopes in Precipitation. In a sensitivity analysis, it is found that land surface evaporation fractionation increases the isotopic concentrations in the rootzone soil moisture and slightly decreases the isotopic concentrations in precipitation. Lateral terrestrial water flow minorly affects these isotopic concentrations through changes in evaporation‐transpiration partitioning.
The relationship between dose and serotonin transporter occupancy of antidepressants—a systematic review
Authors: Sørensen Anders , Ruhé Henricus G. , Munkholm Klaus 
Published: September 2021

AbstractBrain imaging techniques enable the visualization of serotonin transporter (SERT) occupancy as a measure of the proportion of SERT blocked by an antidepressant at a given dose. We aimed to systematically review the evidence on the relationship between antidepressant dose and SERT occupancy. We searched PubMed and Embase (last search 20 May 2021) for human in vivo, within-subject PET, or SPECT studies measuring SERT occupancy at any dose of any antidepressant with highly selective radioligands ([11C]-DASB, [123I]-ADAM, and [11C]-MADAM). We summarized and visualized the dose-occupancy relationship for antidepressants across studies, overlaying the plots with a curve based on predicted values of a standard 2-parameter Michaelis–Menten model fitted using the observed data. We included seventeen studies of 10 different SSRIs, SNRIs, and serotonin modulators comprising a total of 294 participants, involving 309 unique occupancy measures. Overall, following the Michaelis–Menten equation, SERT occupancy increased with a higher dose in a hyperbolic relationship, with occupancy increasing rapidly at lower doses and reaching a plateau at approximately 80% at the usual minimum recommended dose. All the studies were small, only a few investigated the same antidepressant, dose, and brain region, and few reported information on factors that may influence SERT occupancy. The hyperbolic dose-occupancy relationship may provide mechanistic insight of relevance to the limited clinical benefit of dose-escalation in antidepressant treatment and the potential emergence of withdrawal symptoms. The evidence is limited by non-transparent reporting, lack of standardized methods, small sample sizes, and short treatment duration. Future studies should standardize the imaging and reporting procedures, measure occupancy at lower antidepressant doses, and investigate the moderators of the dose-occupancy relationship.
ASXL1 mutations are associated with distinct epigenomic alterations that lead to sensitivity to venetoclax and azacytidine
Authors: Rahmani Nora E. , Ramachandra Nandini , Sahu Srabani , Gitego Nadege , Lopez Andrea , Pradhan Kith , Bhagat Tushar D. , Gordon-Mitchell Shanisha , Pena Bianca Rivera , Kazemi Mohammad , Rao Keshav , Giricz Orsi , Maqbool Shahina Bano , Olea Raul , Zhao Yongmei , Zhang Jinghang , Dolatshad Hamid , Tittrea Vickram , Tatwavedi Dharamveer , Singh Shalini , Lee Juseong , Sun Tianyu , Steidl Ulrich , Shastri Aditi , Inoue Daichi , Abdel-Wahab Omar , Pellagatti Andrea , Gavathiotis Evripidis , Boultwood Jacqueline , Verma Amit 
Published: September 2021

AbstractThe BCL2-inhibitor, Venetoclax (VEN), has shown significant anti-leukemic efficacy in combination with the DNMT-inhibitor, Azacytidine (AZA). To explore the mechanisms underlying the selective sensitivity of mutant leukemia cells to VEN and AZA, we used cell-based isogenic models containing a common leukemia-associated mutation in the epigenetic regulator ASXL1. KBM5 cells with CRISPR/Cas9-mediated correction of the ASXL1G710X mutation showed reduced leukemic growth, increased myeloid differentiation, and decreased HOXA and BCL2 gene expression in vitro compared to uncorrected KBM5 cells. Increased expression of the anti-apoptotic gene, BCL2, was also observed in bone marrow CD34+ cells from ASXL1 mutant MDS patients compared to CD34+ cells from wild-type MDS cases. ATAC-sequencing demonstrated open chromatin at the BCL2 promoter in the ASXL1 mutant KBM5 cells. BH3 profiling demonstrated increased dependence of mutant cells on BCL2. Upon treatment with VEN, mutant cells demonstrated increased growth inhibition. In addition, genome-wide methylome analysis of primary MDS samples and isogenic cell lines demonstrated increased gene-body methylation in ASXL1 mutant cells, with consequently increased sensitivity to AZA. These data mechanistically link the common leukemia-associated mutation ASXL1 to enhanced sensitivity to VEN and AZA via epigenetic upregulation of BCL2 expression and widespread alterations in DNA methylation.
Selective degradation of AR-V7 to overcome castration resistance of prostate cancer
Authors: Liu Yuan , Yu Cuifu , Shao Zhenlong , Xia Xiaohong , Hu Tumei , Kong Weiyao , He Xiaoyue , Sun Wenshuang , Deng Yuanfei , Liao Yuning , Huang Hongbiao 
Published: September 2021

AbstractAndrogen receptor splice variant 7 (AR-V7), a form of ligand-independent and constitutively activating variant of androgen receptor (AR), is considered as the key driver to initiate castration-resistant prostate cancer (CRPC). Because AR-V7 lacks ligand-binding domain, the AR-targeted therapies that aim to inactivate AR signaling through disrupting the interaction between AR and androgen are limited in CRPC. Thus, the emergence of AR-V7 has become the greatest challenge for treating CRPC. Targeting protein degradation is a recently proposed novel avenue for cancer treatment. Our previous studies have been shown that the oncoprotein AR-V7 is a substrate of the proteasome. Identifying novel drugs that can trigger the degradation of AR-V7 is therefore critical to cure CRPC. Here we show that nobiletin, a polymethoxylated flavonoid derived from the peel of Citrus fruits, exerts a potent anticancer activity via inducing G0/G1 phase arrest and enhancing the sensitivity of cells to enzalutamide in AR-V7 positive PC cells. Mechanically, we unravel that nobiletin selectively induces proteasomal degradation of AR-V7 (but not AR). This effect relies on its selective inhibition of the interactions between AR-V7 and two deubiquitinases USP14 and USP22. These findings not only enrich our understanding on the mechanism of AR-V7 degradation, but also provide an efficient and druggable target for overcoming CRPC through interfering the stability of AR-V7 mediated by the interaction between AR-V7 and deubiquitinase.
Spatial regulation by multiple Gremlin1 enhancers provides digit development with cis-regulatory robustness and evolutionary plasticity
Authors: Malkmus Jonas , Ramos Martins Laurène , Jhanwar Shalu , Kircher Bonnie , Palacio Victorio , Sheth Rushikesh , Leal Francisca , Duchesne Amandine , Lopez-Rios Javier , Peterson Kevin A. , Reinhardt Robert , Onimaru Koh , Cohn Martin J. , Zuniga Aimée , Zeller Rolf 
Published: September 2021

AbstractPrecise cis-regulatory control of gene expression is essential for normal embryogenesis and tissue development. The BMP antagonist Gremlin1 (Grem1) is a key node in the signalling system that coordinately controls limb bud development. Here, we use mouse reverse genetics to identify the enhancers in the Grem1 genomic landscape and the underlying cis-regulatory logics that orchestrate the spatio-temporal Grem1 expression dynamics during limb bud development. We establish that transcript levels are controlled in an additive manner while spatial regulation requires synergistic interactions among multiple enhancers. Disrupting these interactions shows that altered spatial regulation rather than reduced Grem1 transcript levels prefigures digit fusions and loss. Two of the enhancers are evolutionary ancient and highly conserved from basal fishes to mammals. Analysing these enhancers from different species reveal the substantial spatial plasticity in Grem1 regulation in tetrapods and basal fishes, which provides insights into the fin-to-limb transition and evolutionary diversification of pentadactyl limbs.
Episodic transport of discrete magma batches beneath Aso volcano
Authors: Niu Jieming , Song Teh-Ru Alex 
Published: September 2021

AbstractMagma ascent, storage, and discharge in the trans-crustal magmatic system are keys to long-term volcanic output and short-term eruption dynamics. How a distinct magma batch transports from a deep reservoir(s) to a pre-eruptive storage pool with eruptible magma remains elusive. Here we show that repetitive very-long-period signals (VLPs) beneath the Aso volcano are preceded by a short-lived (~50–100 s), synchronous deformation event ~3 km apart from the VLP source. Source mechanism of a major volumetric component (~50–440 m3per event) and a minor low-angle normal-fault component, together with petrological evidence, suggests episodic transport of discrete magma batches from an over-pressured chamber roof to a pre-eruptive storage pool near the brittle-ductile transition regime. Magma ascent velocity, decompression rate, and cumulative magma output deduced from recurrent deformation events before recent 2014 and 2016 eruptions reconcile retrospective observations of the eruption style, tephra fallouts, and plume heights, promising real-time evaluation of upcoming eruptions.
Predicting scalar coupling constants by graph angle-attention neural network
Authors: Fang Jia , Hu Linyuan , Dong Jianfeng , Li Haowei , Wang Hui , Zhao Huafen , Zhang Yao , Liu Min 
Published: September 2021

AbstractScalar coupling constant (SCC), directly measured by nuclear magnetic resonance (NMR) spectroscopy, is a key parameter for molecular structure analysis, and widely used to predict unknown molecular structure. Restricted by the high cost of NMR experiments, it is impossible to measure the SCC of unknown molecules on a large scale. Using density functional theory (DFT) to theoretically calculate the SCC of molecules is incredibly challenging, due to the cost of substantial computational time and space. Graph neural networks (GNN) of artificial intelligence (AI) have great potential in constructing molecul
ar-like topology models, which endows them the ability to rapidly predict SCC through data-driven machine learning methods, and avoiding time-consuming quantum chemical calculations. With a priori knowledge of angles, we propose a graph angle-attention neural network (GAANN) model to predict SCC by means of some easily accessible related information. GAANN, with a multilayer message-passing network and a self-attention mechanism, can accurately simulate the molecular-like topological structure and predict molecular properties. Our simulations show that the prediction accuracy by GAANN, with the log(MAE) = −2.52, is close to that by DFT calculations. Different from conventional AI methods, GAANN combining the AI method with quantum chemistry theory (Karplus equation) has a strong physicochemical interpretability about angles. From an AI perspective, we find that bond angle has the highest correlation with the SCC among all angle features (dihedral angle, bond angle, geometric angles) about multiple coupling types in the small molecule datasets.
Comparison of dimension reduction methods on fatty acids food source study
Authors: Chen Yifan , Miura Yusuke , Sakurai Toshihiro , Chen Zhen , Shrestha Rojeet , Kato Sota , Okada Emiko , Ukawa Shigekazu , Nakagawa Takafumi , Nakamura Koshi , Tamakoshi Akiko , Chiba Hitoshi , Imai Hideyuki , Minami Hiroyuki , Mizuta Masahiro , Hui Shu-Ping 
Published: September 2021

AbstractSerum fatty acids (FAs) exist in the four lipid fractions of triglycerides (TGs), phospholipids (PLs), cholesteryl esters (CEs) and free fatty acids (FFAs). Total fatty acids (TFAs) indicate the sum of FAs in them. In this study, four statistical analysis methods, which are independent component analysis (ICA), factor analysis, common principal component analysis (CPCA) and principal component analysis (PCA), were conducted to uncover food sources of FAs among the four lipid fractions (CE, FFA, and TG + PL). Among the methods, ICA provided the most suggestive results. To distinguish the animal fat intake from endogenous fatty acids, FFA variables in ICA and factor analysis were studied. ICA provided more distinct suggestions of FA food sources (endogenous, plant oil intake, animal fat intake, and fish oil intake) than factor analysis. Moreover, ICA was discovered as a new approach to distinguish animal FAs from endogenous FAs, which will have an impact on epidemiological studies. In addition, the correlation coefficients between a published dataset of food FA compositions and the loading values obtained in the present ICA study suggested specific foods as serum FA sources. In conclusion, we found that ICA is a useful tool to uncover food sources of serum FAs.