bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of predictive models for nutritional assessment in the elderly
Authors: Muñoz Díaz Belén , Martínez De La Iglesia Jorge , Romero-Saldaña Manuel , Molina-Luque Rafael , Arenas de Larriva Antonio P , Molina-Recio Guillermo 
Published: August 2020

AbstractObjective:To propose malnutrition screening methods for the elderly population using predictive multivariate models. Due to the greater risk of nutrition deficiencies in ageing populations, nutritional assessment of the elderly is necessary in primary health care.Design:This was a cross-sectional study. Multivariate models were obtained by means of discriminant analysis and binary logistic regression. The diagnostic accuracy of each multivariate model was determined and compared with the Chang method based on receiver operating characteristic curves. The optimal cut-point, sensitivity, specificity and Youden index were estimated for each of the models.Setting:The province of Cordoba, Spain.Participants:Two hundred fifty-five patients over the age of 65 years from three health centres and three nursing homes.Results:Fourteen models for predicting risk of malnutrition were obtained, six by discriminant multivariate analysis and eight by binary logistic regression. Sensitivity ranged from 55·6 to 93·1 % and specificity from 64·9 to 94 %. The maximum and minimum Youden indexes were 0·77 and 0·49, respectively. We finally selected a model which does not require a blood test.Conclusions:The proposed models simplify nutritional assessment in the elderly and, except for number 2 of those calculated by binary logistic regression, have better diagnostic accuracy than the Spanish version of the Mini Nutritional Assessment screening tool. The selected model, whose validation is necessary for the future with other different samples, provides good diagnostic accuracy, and it can be performed by non-medical personnel, making it an accessible, easy and rapid tool in daily clinical practice.
(In)Compatible Visions of Justice? Personal Culpability and Gender Justice at the ICC
Authors: Minkova Liana Georgieva 
Published: August 2020

AbstractAlthough the International Criminal Court (ICC) has been heralded as a success story for gender justice, in practice prosecutions of sexual and gender-based crimes (SGBC) have often ended with acquittal at the court. Gender studies in international relations explain the lack of successful SGBC prosecutions by looking to the influence of older gender biases in international law, which preclude the successful implementation of the novel Rome Statute provisions criminalizing SGBC. This article suggests that “forgetting” the gender justice norm insufficiently explains the outcome of the ICC's SGBC prosecutions. The article argues that ICC judges “remembered” another norm of criminal justice, long forgotten in international trials – strict compliance with the personal culpability principle – which has resulted in tension between different visions of justice in the court's practice: delivering substantive justice for SGBC victims v. safeguarding the defendant's rights by upholding criminal law principles.
A machine-learning history of English caselaw and legal ideas prior to the Industrial Revolution I: generating and interpreting the estimates
Authors: Grajzl Peter , Murrell Peter 
Published: August 2020

AbstractThe history of England's institutions has long informed research on comparative economic development. Yet to date, there exists no quantitative evidence on a core aspect of England's institutional evolution, that embodied in the accumulated decisions of English courts. Focusing on the two centuries before the Industrial Revolution, we generate and analyze the first quantitative estimates of the development of English caselaw and its associated legal ideas. We achieve this in two companion papers. In this, the first of the pair, we build a comprehensive corpus of 52,949 reports of cases heard in England's high courts before 1765. Estimating a 100-topic structural topic model, we name and interpret all topics, each of which reflects a distinctive aspect of English legal thought. We produce time series of the estimated topic prevalences. To interpret the topic timelines, we develop a tractable model of the evolution of legal-cultural ideas and their prominence in case reports. In the companion paper, we will illustrate with multiple applications the usefulness of the large amount of new information generated by our approach.
Septic Shock: A Genomewide Association Study and Polygenic Risk Score Analysis
Authors: D’Urso Shannon , Rajbhandari Dorrilyn , Peach Elizabeth , de Guzman Erika , Li Qiang , Medland Sarah E. , Gordon Scott D. , Martin Nicholas G. ,   CHARGE Inflammation Working Group, Ligthart Symen , Brown Matthew A. , Powell Joseph , McArthur Colin , Rhodes Andrew , Meyer Jason , Finfer Simon , Myburgh John , Blumenthal Antje , Cohen Jeremy , Venkatesh Balasubramanian , Cuellar-Partida Gabriel , Evans David M. 
Published: August 2020

AbstractPrevious genetic association studies have failed to identify loci robustly associated with sepsis, and there have been no published genetic association studies or polygenic risk score analyses of patients with septic shock, despite evidence suggesting genetic factors may be involved. We systematically collected genotype and clinical outcome data in the context of a randomized controlled trial from patients with septic shock to enrich the presence of disease-associated genetic variants. We performed genomewide association studies of susceptibility and mortality in septic shock using 493 patients with septic shock and 2442 population controls, and polygenic risk score analysis to assess genetic overlap between septic shock risk/mortality with clinically relevant traits. One variant, rs9489328, located in AL589740.1 noncoding RNA, was significantly associated with septic shock (p = 1.05 × 10–10); however, it is likely a false-positive. We were unable to replicate variants previously reported to be associated (p < 1.00 × 10–6 in previous scans) with susceptibility to and mortality from sepsis. Polygenic risk scores for hematocrit and granulocyte count were negatively associated with 28-day mortality (p = 3.04 × 10–3; p = 2.29 × 10–3), and scores for C-reactive protein levels were positively associated with susceptibility to septic shock (p = 1.44 × 10–3). Results suggest that common variants of large effect do not influence septic shock susceptibility, mortality and resolution; however, genetic predispositions to clinically relevant traits are significantly associated with increased susceptibility and mortality in septic individuals.
Comparison of Performance of the IRI 2016, IRI‐Plas 2017, and NeQuick 2 Models During Different Solar Activity (2013–2018) Years Over South American Sector
Authors: Tariku Yekoye Asmare 
Published: August 2020

AbstractThis study mainly focuses on the prediction of the variability of the vertical total electron content (VTEC) and validation of the new versions of the International Reference Ionosphere (IRI 2016), IRI extended to the plasmasphere (IRI‐Plas 2017), and NeQuick 2 models over the equatorial anomaly region during 2013–2018. The Global Positioning System (GPS)‐derived VTEC data inferred from the South American equatorial region during the relatively high (2013–2014), descending (2015–2016), and low (2017–2018) solar activity years have been considered as measurements to validate the models. The modeled (IRI 2016, IRI‐Plas 2017, and NeQuick 2) VTEC values are generally larger than the GPS‐derived VTEC values, with the highest overestimation being illustrated by the IRI‐Plas 2017 model. Small underestimations are also observed in employing the IRI 2016 and NeQuick 2 models, especially when the solar activity increases. The highest root‐mean‐square Deviations (RMSDs) reaching up to 10 TEC units (TECU) is observed in some hours while using the IRI‐Plas 2017 model during the high solar activity years. RMSDs less than 5 TECU are also observed on most of the hours while utilizing the model during all solar activity years. However, RMSD values less than 2 TECU (while using the NeQuick 2 model) and less than 1 TECU (while using the IRI 2016 model) are seen on most of the hours during 2013–2018. This shows that the performance of the IRI 2016 and NeQuick 2 is better than the IRI‐Plas 2017 with the IRI 2016 model consistently revealing the best in all solar activity years.
Time‐Invariant Late Quaternary Slip Rates Along the Agua Blanca Fault, Northern Baja California, Mexico
Authors: Gold P. O. , Behr W. M. , Fletcher J. M. , Rockwell T. K. , Figueiredo P. M. 
Published: August 2020

AbstractFault slip rates inform models of strain accumulation and release, which over geologic time may vary or remain constant depending on factors like structural complexity, fault strength, deformation rates, and proximity to other faults. In this study, we present a Late Pleistocene–Holocene slip history based on four new geologic slip rates for the Agua Blanca Fault (ABF), which transfers Pacific‐North American dextral plate boundary motion across the Peninsular Ranges of northern Baja California. Time‐averaged slip rates from three sites are 2.8 + 0.8/−0.6 mm/a since ~65.1 ka, 3.0 + 1.4/−0.8 mm/a since ~21.8 ka, 3.2 + 1.0/−0.6 mm/a since ~12.5 ka, and 3.5 + 5.1/−2.0 mm/a since ~1.4 ka; however, the actual slip rate may be closer to 4 mm/a when off‐fault slip and age interpretation uncertainties are considered. Significantly, although the ABF has more in common in terms of length, net offset, and slip rate with known variable slip rate faults, the most straightforward age and offset interpretations for the ABF suggest constant slip rates over ~10 kyr time scales. As with other constant slip rate faults, comparable neighboring faults that might modulate the ABF slip rate are absent, suggesting that fault interaction, or lack thereof, may be a more significant factor controlling fault behavior on this and potentially other faults. The new rates indicate that the ABF accommodates at least half of total slip across the Peninsular Ranges, clarifying strain partitioning for seismic forecasting models that previously lacked modern geologic slip rate constraints for this domain of the plate boundary.
Laramide Orogenesis Driven by Late Cretaceous Weakening of the North American Lithosphere
Authors: Saylor Joel E. , Rudolph Kurt W. , Sundell Kurt E. , van Wijk Jolante 
Published: August 2020

AbstractThis paper investigates the causes of the Late Cretaceous transition from “Sevier” to “Laramide” orogenesis and the spatial and temporal evolution of effective elastic thickness (EET) of the North American lithosphere. We use a Monte Carlo flexural model applied to 34 stratigraphic profiles in the Laramide province and five profiles from the Western Canadian Basin to estimate model parameters which produce flexural profiles that match observed sedimentary thicknesses. Sediment thicknesses come from basins from New Mexico to Canada of Cenomanian–Eocene age that are related to both Sevier and Laramide crustal loads. Flexural models reveal an east‐to‐west spatial decrease in EET in all time intervals analyzed. This spatial decrease in EET may have been associated with either bending stresses associated with the Sevier thrust belt, or increased proximity to attenuated continental crust at the paleocontinental margin. In the Laramide province (i.e., south of ~48°N) there was a coeval, regional decrease in EET between the Cenomanian–Santonian (~98–84 Ma) and the Campanian–Maastrichtian (~77–66 Ma), followed by a minor decrease between the Maastrichtian and Paleogene. However, there was no decrease in EET in the Western Canada Basin (north of ~48°N), which is consistent with a lack of Laramide‐style deformation or flat subduction. We conclude that the regional lithospheric weakening in the late Santonian–Campanian is best explained by hydration of the North American lithosphere thinned by bulldozing by a shallowly subducting Farallon plate. The weakening of the lithosphere facilitated Laramide contractional deformation by focusing end‐loading stresses associated with flat subduction. Laramide deformation in turn may have further reduced EET by weakening the upper crust. Finally, estimates of Campanian–Maastrichtian and Paleogene EET are comparable to current estimates indicating that the modern distribution of lithospheric strength was achieved by the Campanian in response to flat subduction.
Storms and the Depletion of Ammonia in Jupiter: I. Microphysics of “Mushballs”
Authors: Guillot Tristan , Stevenson David J. , Atreya Sushil K. , Bolton Scott J. , Becker Heidi N. 
Published: August 2020

AbstractMicrowave observations by the Juno spacecraft have shown that, contrary to expectations, the concentration of ammonia is still variable down to pressures of tens of bars in Jupiter. We show that during strong storms able to loft water ice into a region located at pressures between 1.1 and 1.5 bar and temperatures between 173 and 188 K, ammonia vapor can dissolve into water ice to form a low‐temperature liquid phase containing about one‐third ammonia and two‐third water. We estimate that, following the process creating hailstorms on Earth, this liquid phase enhances the growth of hail‐like particles that we call mushballs. We develop a simple model to estimate the growth of these mushballs, their fall into Jupiter's deep atmosphere, and their evaporation. We show that they evaporate deeper than the expected water cloud base level, between 5 and 27 bar depending on the assumed abundance of water ice lofted by thunderstorms and on the assumed ventilation coefficient governing heat transport between the atmosphere and the mushball. Because the ammonia is located mostly in the core of the mushballs, it tends to be delivered deeper than water, increasing the efficiency of the process. Further sinking of the condensates is expected due to cold temperature and ammonia‐ and water‐rich downdrafts formed by the evaporation of mushballs. This process can thus potentially account for the measurements of ammonia depletion in Jupiter's deep atmosphere.
Exosomes: key players in cancer and potential therapeutic strategy
Authors: Dai Jie , Su Yangzhou , Zhong Suye , Cong Li , Liu Bang , Yang Junjun , Tao Yongguang , He Zuping , Chen Chao , Jiang Yiqun 
Published: August 2020

AbstractExosomes are extracellular vesicles secreted by most eukaryotic cells and participate in intercellular communication. The components of exosomes, including proteins, DNA, mRNA, microRNA, long noncoding RNA, circular RNA, etc., which play a crucial role in regulating tumor growth, metastasis, and angiogenesis in the process of cancer development, and can be used as a prognostic marker and/or grading basis for tumor patients. Hereby, we mainly summarized as followed: the role of exosome contents in cancer, focusing on proteins and noncoding RNA; the interaction between exosomes and tumor microenvironment; the mechanisms that epithelial-mesenchymal transition, invasion and migration of tumor affected by exosomes; and tumor suppression strategies based on exosomes. Finally, the application potential of exosomes in clinical tumor diagnosis and therapy is prospected, which providing theoretical supports for using exosomes to serve precise tumor treatment in the clinic.
Intrinsic connectomes underlying response to trauma-focused psychotherapy in post-traumatic stress disorder
Authors: Korgaonkar Mayuresh S. , Chakouch Cassandra , Breukelaar Isabella A. , Erlinger May , Felmingham Kim L. , Forbes David , Williams Leanne M. , Bryant Richard A. 
Published: August 2020

AbstractAlthough trauma-focused cognitive behavior therapy (TF-CBT) is the frontline treatment for post-traumatic stress disorder (PTSD), up to one-half of patients are treatment nonresponders. To understand treatment nonresponse, it is important to understand the neural mechanisms of TF-CBT. Here, we used whole-brain intrinsic functional connectivity analysis to identify neural connectomic signatures of treatment outcome. In total, 36 PTSD patients and 36 healthy individuals underwent functional MRI at pre-treatment baseline. Patients then underwent nine sessions of TF-CBT and completed clinical and follow-up MRIs. We used an established large-scale brain network atlas to parcellate the brain into 343 brain regions. Pairwise intrinsic task-free functional connectivity was calculated and used to identify pre-treatment connectomic features that were correlated with reduction of PTSD severity from pretreatment to post treatment. We formed a composite metric of intrinsic connections associated with therapeutic outcome, and then interrogated this composite metric to determine if it distinguished PTSD treatment responders and nonresponders from healthy control status and changed post treatment. Lower pre-treatment connectivity for the cingulo-opercular, salience, default mode, dorsal attention, and frontoparietal executive control brain networks was associated with treatment improvement. Treatment responders had lower while nonresponders had significantly greater connectivity than controls at pretreatment. With therapy, connectivity significantly increased for responders and decreased for nonresponders, while controls remain unchanged over this time period. We provide evidence that the intrinsic functional architecture of the brain, specifically connectivity within and between brain networks associated with external vigilance, self-awareness, and cognitive control, may characterize a positive response to TF-CBT for PTSD.
Embracing the positive: an examination of how well resilience factors at age 14 can predict distress at age 17
Authors: Fritz J. , Stochl J. , Goodyer I. M. , van Harmelen A.-L. , Wilkinson P. O. 
Published: August 2020

AbstractOne-in-two people suffering from mental health problems develop such distress before or during adolescence. Research has shown that distress can predict itself well over time. Yet, little is known about how well resilience factors (RFs), i.e. those factors that decrease mental health problems, predict subsequent distress. Therefore, we investigated which RFs are the best indicators for subsequent distress and with what accuracy RFs predict subsequent distress. We examined three interpersonal (e.g. friendships) and seven intrapersonal RFs (e.g. self-esteem) and distress in 1130 adolescents, at age 14 and 17. We estimated the RFs and a continuous distress-index using factor analyses, and ordinal distress-classes using factor mixture models. We then examined how well age-14 RFs and age-14 distress predict age-17 distress, using stepwise linear regressions, relative importance analyses, as well as ordinal and linear prediction models. Low brooding, low negative and high positive self-esteem RFs were the most important indicators for age-17 distress. RFs and age-14 distress predicted age-17 distress similarly. The accuracy was acceptable for ordinal (low/moderate/high age-17 distress-classes: 62–64%), but low for linear models (37–41%). Crucially, the accuracy remained similar when only self-esteem and brooding RFs were used instead of all ten RFs (ordinal = 62%; linear = 37%); correctly predicting for about two-in-three adolescents whether they have low, moderate or high distress 3 years later. RFs, and particularly brooding and self-esteem, seem to predict subsequent distress similarly well as distress can predict itself. As assessing brooding and self-esteem can be strength-focussed and is time-efficient, those RFs may be promising for risk-detection and translational intervention research.
BECN1 promotes radiation-induced G2/M arrest through regulation CDK1 activity: a potential role for autophagy in G2/M checkpoint
Authors: Huang Ruixue , Gao Shanshan , Han Yanqin , Ning Huacheng , Zhou Yao , Guan Hua , Liu Xiaodan , Yan Shuang , Zhou Ping-Kun 
Published: August 2020

AbstractAuthophagy and G2/M arrest are two important mechanistic responses of cells to ionizing radiation (IR), in particular the IR-induced fibrosis. However, what interplayer and how it links the autophagy and the G2/M arrest remains elusive. Here, we demonstrate that the autophagy-related protein BECN1 plays a critical role in ionizing radiation-induced G2/M arrest. The treatment of cells with autophagy inhibitor 3-methyladenine (3-MA) at 0–12 h but not 12 h postirradiation significantly sensitized them to IR, indicating a radio-protective role of autophagy in the early response of cells to radiation. 3-MA and BECN1 disruption inactivated the G2/M checkpoint following IR by abrogating the IR-induced phosphorylation of phosphatase CDC25C and its target CDK1, a key mediator of the G2/M transition in coordination with CCNB1. Irradiation increased the nuclear translocation of BECN1, and this process was inhibited by 3-MA. We confirmed that BECN1 interacts with CDC25C and CHK2, and which is mediated the amino acids 89–155 and 151–224 of BECN1, respectively. Importantly, BECN1 deficiency disrupted the interaction of CHK2 with CDC25C and the dissociation of CDC25C from CDK1 in response to irradiation, resulting in the dephosphorylation of CDK1 and overexpression of CDK1. In summary, IR induces the translocation of BECN1 to the nucleus, where it mediates the interaction between CDC25C and CHK2, resulting in the phosphorylation of CDC25C and its dissociation from CDK1. Consequently, the mitosis-promoting complex CDK1/CCNB1 is inactivated, resulting in the arrest of cells at the G2/M transition. Our findings demonstrated that BECN1 plays a role in promotion of radiation-induced G2/M arrest through regulation of CDK1 activity. Whether such functions of BECN1 in G2/M arrest is dependent or independent on its autophagy-related roles is necessary to further identify.
A virus-induced conformational switch of STAT1-STAT2 dimers boosts antiviral defenses
Authors: Wang Yuxin , Song Qiaoling , Huang Wei , Lin Yuxi , Wang Xin , Wang Chenyao , Willard Belinda , Zhao Chenyang , Nan Jing , Holvey-Bates Elise , Wang Zhuoya , Taylor Derek , Yang Jinbo , Stark George R. 
Published: August 2020

AbstractType I interferons (IFN-I) protect us from viral infections. Signal transducer and activator of transcription 2 (STAT2) is a key component of interferon-stimulated gene factor 3 (ISGF3), which drives gene expression in response to IFN-I. Using electron microscopy, we found that, in naive cells, U-STAT2, lacking the activating tyrosine phosphorylation, forms a heterodimer with U-STAT1 in an inactive, anti-parallel conformation. A novel phosphorylation of STAT2 on T404 promotes IFN-I signaling by disrupting the U-STAT1-U-STAT2 dimer, facilitating the tyrosine phosphorylation of STATs 1 and 2 and enhancing the DNA-binding ability of ISGF3. IKK-ε, activated by virus infection, phosphorylates T404 directly. Mice with a T-A mutation at the corresponding residue (T403) are highly susceptible to virus infections. We conclude that T404 phosphorylation drives a critical conformational switch that, by boosting the response to IFN-I in infected cells, enables a swift and efficient antiviral defense.
Daylight space debris laser ranging
Authors: Steindorfer Michael A. , Kirchner Georg , Koidl Franz , Wang Peiyuan , Jilete Beatriz , Flohrer Tim 
Published: August 2020

AbstractSatellite laser ranging allows to measure distances to satellites equipped with retroreflectors in orbits up to 36000 km. Utilizing a higher powered laser, space debris laser ranging detects diffuse reflections from defunct satellites or rocket bodies up to a distance of 3000 km. So far space debris laser ranging was only possible within a few hours around twilight while it is dark at the satellite laser ranging station and space debris is illuminated by the sun. Here we present space debris laser ranging results during daylight. Space debris objects are visualized against the blue sky background and biases corrected in real-time. The results are a starting point for all space debris laser ranging stations to drastically increase their output in the near future. A network of a few stations worldwide will be able to improve orbital predictions significantly as necessary for removal missions, conjunction warnings, avoidance maneuvers or attitude determination.