bluuebunny/crossref_metadata_2025_split huggingface dataset:
What prompts patients to present with delirium?
Authors: Gibb Kate , Krywonos Anastasia , Shah Runil , Jha Anjali , Davis Daniel 
Published: February 2021

Abstract
Purpose
To explore the recognition, response and understanding of delirium in families and carers of hospitalised patients.

Methods
All adults with delirium admitted to an acute medical unit were included. Delirium was diagnosed by a specialist geriatrician. The responder who sought medical advice for each patient was interviewed using a delirium recognition questionnaire. Vital status was ascertained at four months.

Results
Sixty patients were included (mean age 85, SD 6.8 years). Reported symptoms included drowsiness and lack of responsiveness, though these were less commonly recognised as being due to delirium. 76% received medical advice within 24 h, although two responders took > 1 week. One-third of responders had never heard of delirium. Delirium knowledge among responders was variable.

Conclusion
Overall awareness and knowledge of delirium was poor. Community delirium education and public health initiatives may improve rapidity of recognition, delirium assessment, and potentially health outcomes.
Big-Data Measurement-Model Research about Judges’ Actual Workload in China
Authors: YANG Li , YI Junlin , PENG Hui 
Published: February 2021

AbstractAs the growing number of cases is draining the limited court resources in China, how to scientifically measure the reasonable saturated workload of judges has become an urgent issue. This issue is the prerequisite of other important topics such as determination of judges’ quotas, measurement of the actual workload of a trial team, performance evaluation of judges, and resource allocation within courts. Data-driven measurement of the actual workload of China’s judges depends on various factors such as local economic development, public transportation, case-load in the past, and staffing of assistant positions. Therefore, traditional approaches that depend only on a single element, such as cause of action, do not work well. We proposed a modelling framework based on big-data and machine-learning technology to more accurately measure the actual workload of judges. This framework extracts the core elements of judicial cases, assigns target workload to the cases based on feedback from judges and analyzing case samples to create a standard training dataset, and trains machine-learning models using the data. A preliminary case-weight calculation model is built using the framework. Besides, the model is continuously evaluated and improved by comparing its output with the actual demand in a court through methods such as sampling, questionnaires, and expert evaluation.
Cost–Benefit Assessment of Public Investments in France: The Use of Counter-Experts
Authors: Baumstark Luc , Guesnerie Roger , Ni Jincheng , Ourliac Jean-Paul 
Published: February 2021

AbstractSocioeconomic evaluation of a public investment helps to understand its value for the community, and it also improves an investment by analyzing its different components, and the risks inherent in its completion. The Act of 31 December 2012 about Public Finance Planning makes it mandatory in France for project sponsors to conduct an ex-ante socioeconomic evaluation of all public civil investments made by the State and its public institutions. An independent counter-expert assessment of the ex-ante socioeconomic evaluation is conducted for the largest projects. A permanent committee of experts has been established to specify the methodological rules for socioeconomic evaluation and define the studies and research necessary.
Implications of neural networks for how we think about brain function
Authors: Robinson David A. 
Published: February 2021

AbstractEngineers use neural networks to control systems too complex for conventional engineering solutions. To examine the behavior of individual hidden units would defeat the purpose of this approach because it would be largely uninterpretable. Yet neurophysiologists spend their careers doing just that! Hidden units contain bits and scraps of signals that yield only arcane hints about network function and no information about how its individual units process signals. Most literature on single-unit recordings attests to this grim fact. On the other hand, knowing a system's function and describing it with elegant mathematics tell one very little about what to expect of interneuronal behavior. Examples of simple networks based on neurophysiology are taken from the oculomotor literature to suggest how single-unit interpretability might decrease with increasing task complexity. It is argued that trying to explain how any real neural network works on a cell-by-cell, reductionist basis is futile and we may have to be content with trying to understand the brain at higher levels of organization.
Clinically diagnosed iron and iodine deficiencies and disorders in the entire population of US military service members from 1997 to 2015
Authors: Knapik Joseph J , Farina Emily K , Fulgoni Victor L , Lieberman Harris R 
Published: February 2021

AbstractObjective:Iron and/or iodine deficiencies can have multiple serious adverse health outcomes, but examination of incidence rates of these deficiencies has rarely been conducted in any large population. This study examined incidence rates, temporal trends and demographic factors associated with medically diagnosed iron and iodine deficiencies/disorders in US military service members (SM).Design:The Defense Medical Epidemiological Database (DMED) was queried for medical visits of active duty SM to obtain specific International Classification of Diseases, Version 9, codes involving clinically diagnosed iron and iodine deficiencies/disorders.Setting:Analysis of existing database (DMED).Participants:Entire population of US military SM from 1997 to 2015 (average n per year = 1 382 266, 15 % women).Results:Overall incidence rates for iron and iodine were 104 and 36 cases/100 000 person-years, respectively. Over the 19-year period, rates for iron disorders increased steadily (108 % for men, 177 % for women). Rates for iodine disorders also increased steadily for men (91 %), but, for women, there was an initial rise followed by a later decline. Overall, women’s rates were 12 and 10 times higher than men’s for iron and iodine, respectively. Compared with whites, blacks and those of other races had higher rates of deficiencies of both minerals. Incidence rates for iodine deficiency increased substantially with age.Conclusions:The overall incidence of clinically diagnosed iron and iodine deficiency among SM was low, but increased over the 19 years examined, and certain demographic groups were at significantly greater risk. Given the unexpected increases in incidence of these mineral disorders, increased surveillance may be appropriate.Clinical Trial Registration No. ISRCTN58987177 (http//:www.isrctn.com/ISRCTN58987177)
Age difference in the combined effect of soda drinks consumption and body adiposity on hyperuricaemia in US adults
Authors: Lin Wei-Ting , Kao Yu-Hsiang , Lin Hui-Yi , Li Mirandy S , Luo Ting , Fritz Jackson M , Seal David W , Lee Chien-Hung , Hu Chih-Yang , Tseng Tung-Sung 
Published: February 2021

AbstractObjective:To evaluate age-related differences in the independent/combined association of added sugar intake from soda and body adiposity with hyperuricaemia in gender-stratified US adults.Design:Consumption of added sugar from soda was calculated from 24-h dietary interviews and categorised into none, regular and excessive consumption. Hyperuricaemia was defined as serum uric acid levels >417 mmol/l in men and >357 mmol/l in women. Multiple regression models with interaction terms and logistic models adjusted for covariates were conducted under survey-data modules.Setting:National Health and Nutrition Examination Survey during 2007–2016.Participants:15 338 adults without gout, failing kidneys, an estimated glomerular filtration rate < 30 or diabetes were selected.Results:The age-stratified prevalence rate of hyperuricaemia was 18·8–20·4 % in males and 6·8–17·3 % in females. Hyperuricaemia prevalence of approximately 50 % was observed in young and middle age males who consumed excessive added sugar from soda. Excessive added sugar intake was observed to be associated with 1·5- to 2·0-fold and 2·0- to 2·3-fold increased risk of the probability of hyperuricaemia in young and middle age males and middle age females, respectively. Study participants, regardless of age or gender, who were obese and consumed excessive added sugar from soda had the highest risk of having hyperuricaemia.Conclusions:Our study revealed that the association between hyperuricaemia and consumption of excessive added sugar from soda may vary by age and gender. Obese adults who consumed excessive added sugar from soda had the highest risk of hyperuricaemia, a finding that was found across all age-specific groups for both genders.
Adult Attachment, Conflict Resolution Style and Relationship Quality among Spanish Young-adult Couples
Authors: González-Ortega Eva , Orgaz Begoña , Vicario-Molina Isabel , Fuertes Antonio 
Published: February 2021

Abstract
The evidence of the interrelationships between adult attachment, conflict resolution style and relationship quality in couple relationships shows some inconsistencies and it is mostly based on English-speaking adult samples, as well as on individuals’ rather than on both couple members’ reports. Therefore, the aim was to examine the associations between adult attachment, conflict resolution style and relationship quality from a dyadic approach. A sample of 405 heterosexual young couples completed online the brief version of the Experiences in Close Relationships-Revised Questionnaire, the respondent version of the Conflict Resolution Styles Inventory, and a 4-item measure of relationship quality. Avoidance attachment showed a stronger negative correlation than anxiety with relationship quality. Withdrawal and conflict engagement styles were more highly correlated with avoidance and anxiety, respectively. At a dyadic level, relationship quality was negatively predicted by actor avoidance attachment and positively predicted by partner relationship quality. No actor or partner effects of conflict resolution style on relationship quality were observed. Overall, partners with higher attachment anxiety and avoidance reported more dysfunctional conflict resolution styles and less satisfaction with the relationship.
Force‐Balance Analysis of Stress Changes During the Subduction‐Collision Transition and Implications for the Rise of Mountain Belts
Authors: Dielforder A. , Hampel A. 
Published: February 2021

AbstractMountain height at convergent plate margins is limited by the megathrust shear force, but it remains unclear how this constraint affects the topographic evolution and mountain building at the transition from subduction to collision. Generally, mountain height increases during the subduction‐collision transition in response to crustal thickening or processes like mantle delamination and slab breakoff, but the main parameters controlling how much mountain height increases remain poorly understood. Here we show, based on analytical and finite‐element force‐balance models, that the increase in mountain height depends on the magnitude of the megathrust shear force and the reduction of submarine margin relief. During the subduction stage, the shear force is balanced by the gravitational effect of the margin relief and the deviatoric stresses in the upper plate are low. When the submarine margin relief is reduced during the closure of the ocean basin, the effect of the gravitational force decreases and the upper plate experiences enhanced deviatoric compression, which allows the mountain height to increase until a near‐neutral stress state beneath the high mountains is restored. If the increase in mountain height cannot keep pace with the submarine relief reduction, the compression of the upper plate increases by a few tens of MPa, which promotes tectonic shortening and mountain building. Our analysis implies that mountain height can increase by hundreds of meters to a few kilometers during collision, depending primarily on the trench depth during the subduction stage and possible syncollisional changes of the megathrust shear force.
Reservoir Computing as a Tool for Climate Predictability Studies
Authors: Nadiga Balasubramanya T. 
Published: February 2021

AbstractReduced‐order dynamical models play a central role in developing our understanding of predictability of climate irrespective of whether we are dealing with the actual climate system or surrogate climate models. In this context, the linear inverse modeling (LIM) approach, by capturing a few essential interactions between dynamical components of the full system, has proven valuable in providing insights into predictability of the full system. We demonstrate that reservoir computing (RC), a form of learning suitable for systems with chaotic dynamics, provides an alternative nonlinear approach that improves on the predictive skill of the LIM approach. We do this in the example setting of predicting sea surface temperature in the North Atlantic in the preindustrial control simulation of a popular earth system model, the Community Earth System Model so that we can compare the performance of the new RC‐based approach with the traditional LIM approach both when learning data are plentiful and when such data are more limited. The improved predictive skill of the RC approach over a wide range of conditions—larger number of retained EOF coefficients, extending well into the limited data regime, etc.—suggests that this machine‐learning technique may have a use in climate predictability studies. While the possibility of developing a climate emulator—the ability to continue the evolution of the system on the attractor long after failing to be able to track the reference trajectory—is demonstrated in the Lorenz‐63 system, it is suggested that further development of the RC approach may permit such uses of the new approach in more realistic predictability studies.
Deep Heat: Proxies, Miocene Ice, and an End in Sight for Paleoclimate Paradoxes?
Authors: Evans David 
Published: February 2021

AbstractThe mid Miocene represents an important target for paleoclimatic study because the atmospheric CO2 concentration ranged from near modern values to ∼800 ppm, while a large, dynamic Antarctic ice sheet was likely to have been present throughout much of this interval. In this special issue, Modestou et al. (2020) (doi.org/10.1029/2020PA003927) reconstruct deep ocean warmth based on the clumped isotopic composition of benthic foraminifera, a technique that allows the ice volume and thermal components of the benthic oxygen isotope stack to be separated. These data reveal a very warm deep ocean while simultaneously suggesting that continental ice volume may, at times, have been greater than today. Here, I review these results in the context of recent developments in geochemical proxies and ice sheet modeling, and explore how the presence of a large Miocene ice sheet could be reconciled with CO2 at least as high as present. More broadly, I argue that many of the 'paradoxes' that pepper the paleoclimate literature result as much from our imperfect understanding of the proxies, as from our understanding of the climate system. Robust proxies with a well‐understood mechanistic basis, as employed by Modestou et al. (2020), as well as advances in model‐data comparability usher in a new era of palaeoclimate research; an exciting future of untangling Earth's myriad past climate states awaits.
Nonlinearity and Multivariate Dependencies in the Terrestrial Leg of Land‐Atmosphere Coupling
Authors: Hsu Hsin , Dirmeyer Paul A. 
Published: February 2021

AbstractMost studies of land‐atmosphere coupling have focused on bivariate linear statistics like correlation. However, more complex dependencies exist, including nonlinear relationships between components of land‐atmosphere coupling and the transmutability of relationships between soil moisture and surface heat fluxes under different environmental conditions. In this study, a technique called multivariate mutual information, based on information theory, is proposed to quantify how surface heat fluxes depend on both surface energy and wetness conditions, that is, net radiation and soil moisture, seasonally across the globe using reanalysis data. Such interdependency is then decomposed into linear and nonlinear contributions, which are further decomposed as different components explainable as the unique contribution from individual surface conditions, redundant contributions shared by both surface conditions, and the synergistic contribution from the concurrent action of net radiation and soil moisture. In reanalysis data, the dependency linearly contributed from soil moisture bears a similar global pattern to previously identified hot spots of coupling. The linear unique contributions of net radiation and soil moisture are mainly nonoverlapping, which suggests two separate regimes are governed by either energy or water limitations. These patterns persist when the nonlinearity is superimposed, thus reinforcing the validity of the land‐atmospheric coupling hot spot paradigm and the spatial division of energy‐limited as well as water‐limited regions. Nevertheless, strong nonlinear relationships are detected, particularly over subtropical regions. Synergistic components are found across the globe, implying widespread multidimensional physical relationships among net radiation, soil moisture, and surface heat fluxes that previously had only been inferred locally.
FACEts of mechanical regulation in the morphogenesis of craniofacial structures
Authors: Du Wei , Bhojwani Arshia , Hu Jimmy K. 
Published: February 2021

AbstractDuring embryonic development, organs undergo distinct and programmed morphological changes as they develop into their functional forms. While genetics and biochemical signals are well recognized regulators of morphogenesis, mechanical forces and the physical properties of tissues are now emerging as integral parts of this process as well. These physical factors drive coordinated cell movements and reorganizations, shape and size changes, proliferation and differentiation, as well as gene expression changes, and ultimately sculpt any developing structure by guiding correct cellular architectures and compositions. In this review we focus on several craniofacial structures, including the tooth, the mandible, the palate, and the cranium. We discuss the spatiotemporal regulation of different mechanical cues at both the cellular and tissue scales during craniofacial development and examine how tissue mechanics control various aspects of cell biology and signaling to shape a developing craniofacial organ.
Cryo-EM structural analysis of FADD:Caspase-8 complexes defines the catalytic dimer architecture for co-ordinated control of cell fate
Authors: Fox Joanna L. , Hughes Michelle A. , Meng Xin , Sarnowska Nikola A. , Powley Ian R. , Jukes-Jones Rebekah , Dinsdale David , Ragan Timothy J. , Fairall Louise , Schwabe John W. R. , Morone Nobuhiro , Cain Kelvin , MacFarlane Marion 
Published: February 2021

AbstractRegulated cell death is essential in development and cellular homeostasis. Multi-protein platforms, including the Death-Inducing Signaling Complex (DISC), co-ordinate cell fate via a core FADD:Caspase-8 complex and its regulatory partners, such as the cell death inhibitor c-FLIP. Here, using electron microscopy, we visualize full-length procaspase-8 in complex with FADD. Our structural analysis now reveals how the FADD-nucleated tandem death effector domain (tDED) helical filament is required to orientate the procaspase-8 catalytic domains, enabling their activation via anti-parallel dimerization. Strikingly, recruitment of c-FLIPS into this complex inhibits Caspase-8 activity by altering tDED triple helix architecture, resulting in steric hindrance of the canonical tDED Type I binding site. This prevents both Caspase-8 catalytic domain assembly and tDED helical filament elongation. Our findings reveal how the plasticity, composition and architecture of the core FADD:Caspase-8 complex critically defines life/death decisions not only via the DISC, but across multiple key signaling platforms including TNF complex II, the ripoptosome, and RIPK1/RIPK3 necrosome.
Genome-wide association study of serum liver enzymes implicates diverse metabolic and liver pathology
Authors: Chen Vincent L. , Du Xiaomeng , Chen Yanhua , Kuppa Annapurna , Handelman Samuel K. , Vohnoutka Rishel B. , Peyser Patricia A. , Palmer Nicholette D. , Bielak Lawrence F. , Halligan Brian , Speliotes Elizabeth K. 
Published: February 2021

AbstractSerum liver enzyme concentrations are the most frequently-used laboratory markers of liver disease, a major cause of mortality. We conduct a meta-analysis of genome-wide association studies of liver enzymes from UK BioBank and BioBank Japan. We identified 160 previously-unreported independent alanine aminotransferase, 190 aspartate aminotransferase, and 199 alkaline phosphatase genome-wide significant associations, with some affecting multiple different enzymes. Associated variants implicate genes that demonstrate diverse liver cell type expression and promote a range of metabolic and liver diseases. These findings provide insight into the pathophysiology of liver and other metabolic diseases that are associated with serum liver enzyme concentrations.
Structure and binding properties of Pangolin-CoV spike glycoprotein inform the evolution of SARS-CoV-2
Authors: Wrobel Antoni G. , Benton Donald J. , Xu Pengqi , Calder Lesley J. , Borg Annabel , Roustan Chloë , Martin Stephen R. , Rosenthal Peter B. , Skehel John J. , Gamblin Steven J. 
Published: February 2021

AbstractCoronaviruses of bats and pangolins have been implicated in the origin and evolution of the pandemic SARS-CoV-2. We show that spikes from Guangdong Pangolin-CoVs, closely related to SARS-CoV-2, bind strongly to human and pangolin ACE2 receptors. We also report the cryo-EM structure of a Pangolin-CoV spike protein and show it adopts a fully-closed conformation and that, aside from the Receptor-Binding Domain, it resembles the spike of a bat coronavirus RaTG13 more than that of SARS-CoV-2.
Photodegradation of carbon dots cause cytotoxicity
Authors: Liu Yue-Yue , Yu Nan-Yang , Fang Wen-Di , Tan Qiao-Guo , Ji Rong , Yang Liu-Yan , Wei Si , Zhang Xiao-Wei , Miao Ai-Jun 
Published: February 2021

AbstractCarbon dots (CDs) are photoluminescent nanomaterials with wide-ranging applications. Despite their photoactivity, it remains unknown whether CDs degrade under illumination and whether such photodegradation poses any cytotoxic effects. Here, we show laboratory-synthesized CDs irradiated with light degrade into molecules that are toxic to both normal (HEK-293) and cancerous (HeLa and HepG2) human cells. Eight days of irradiation photolyzes 28.6-59.8% of the CDs to <3 kilo Dalton molecules, 1431 of which are detected by high-throughput, non-target high-performance liquid chromatography-quadrupole time-of-flight mass spectrometry. Molecular network and community analysis further reveal 499 cytotoxicity-related molecules, 212 of which contain polyethylene glycol, glucose, or benzene-related structures. Photo-induced production of hydroxyl and alkyl radicals play important roles in CD degradation as affected by temperature, pH, light intensity and wavelength. Commercial CDs show similar photodegraded products and cytotoxicity profiles, demonstrating that photodegradation-induced cytotoxicity is likely common to CDs regardless of their chemical composition. Our results highlight the importance of light in cytocompatibility studies of CDs.