bluuebunny/crossref_metadata_2025_split huggingface dataset:
Practical guidelines for therapeators for therapists to diagnose and to treat non -alcoholic fat liver disease
Authors: Балукова Екатерина Владимировна , Гулунов Заурбек Хазбиевич 
Published: November 2022

Практические рекомендации предназначены для оптимизации тактики ведения пациентов с неалкогольной жировой болезнью печени и рекомендованы к использованию врачам, работающим в амбулаторном и стационарном звеньях здравоохранения Санкт-Петербурга, предназначены для врачей -терапевтов и всех специалистов, интересующихся вопросами клинической гастроэнтерологии. Настоящие практические рекомендации разработаны на основании утвержденных Клинических рекомендаций Минздрава России «Лекарственные поражения печени», утверждены Комитетом по здравоохранению Правительства Санкт-Петербурга 26 октября 2020 г.
Practical recommendations are intended to optimize the tactics of managing patients with non -alcoholic fatty liver disease and are recommended for use by physicians working in the outpatient and inpatient health sectors of St. Petersburg, are intended for general practitioners and all specialists interested in clinical gastroenterology. These practical recommendations were developed on the basis of the approved Clinical Recommendations of the Ministry of Health of Russia “Medicinal liver damage”, approved by the Health Committee of the Government of St. Petersburg on October, 26, 2020.
Synergistic action of expandable graphite on fire safety of a self‐intumescent flame retardant epoxy resin
Authors: Zhao Cheng‐Shou , Jiang Yi‐Song , Liu Zhuang‐Yuan , Peng Hua‐Qiao , Esmaeili Nima 
Published: November 2022

AbstractPreviously, it was reported that epoxy resin (EP) filled with ammonium polyphosphate (APP) and copper (I) oxide (Cu2O) at a mass ratio of 8/2 (APP8‐Cu2O2) as a self‐intumescent system demonstrated promising fire retardancy. To further improve the flame retardant efficiency, the possibility of expandable graphite (EG) as an effective synergist for the self‐intumescent EP system was revealed by limiting oxygen index (LOI) test. The results showed that the incorporation of EG increased the LOI value of EP/APP8‐Cu2O2 obviously. The highest LOI value was obtained at the EG/APP8‐Cu2O2 mass ratio of 3/7, indicating the optimal synergistic effect being achieved. Furthermore, UL‐94 test results showed that the excellent synergistic effect resulted in the addition of 13 wt% EG/APP8‐Cu2O2 of 3/7 not only endowed EP a relatively high LOI value of 34.3%, but also made it pass UL‐94 V‐0 rating. Moreover, the main fire hazard parameters obtained from cone calorimeter tests, such as peak heat release rate, total smoke production, and peak CO production were reduced 40.3%, 30.3%, and 46.2%, respectively by the combination effect of EG/APP8‐Cu2O2 with mass ratio of 3/7, suggesting the excellent improvement in the fire safety of EP significantly. Finally, a possible action mode, which would be beneficial for developing other flame retardant polymers with high fire safety, was proposed.
Forecasting the IoT‐based cyber threats using the hybrid forage dependent ensemble classifier
Authors: Turukmane Anil V. 
Published: November 2022

SummaryThe Internet of Things is considered to be an emerging trend since it facilitates more effective communication among smart devices. The IoT technology acts as a double‐edged sword that has multiple advantages, along with the advantages, the cyber threats in the network have increased proportionally which initiates the necessity for the manufacturers to provide in‐built security‐enabled physical devices. Therefore, for ensuring IoT security against cyber threats, this research proposed a novel innovative detection method relying on the hybridized ensemble classifier. The classifier is developed through the integration of the Hybrid Forage Optimization (HFO) with the ensembled classifier. The hybrid ensemble classifier is developed based on the hybridization of convolutional neural network (CNN) and long short‐term memory (LSTM) classifiers, which provides more efficiency. The proposed hybrid forage optimization is initiated by integrating the searching characteristics of the birds, and animals for their food, which aims at locating the optimal food source. Moreover, the add‐on advantage is regarding the ensemble classifier, which is empowered with CNN and LSTM networks that further boosts the classification performance. The analysis of the datasets, such as the NSL‐KDD and KDD Cup 1999 dataset reveals that the accuracy of the classifier is 96% and 94%., which outperforms the existing methods.
Evaluation of long‐term changes in precipitation over Bolivia based on observations and Coupled Model Intercomparison Project models
Authors: Vicente‐Serrano Sergio M. , Maillard Oswaldo , Peña‐Angulo Dhais , Domínguez‐Castro Fernando , Noguera Iván , Lorenzo‐Lacruz Jorge , Azorin‐Molina César , Juez Carmelo , Guijarro José Antonio , Halifa‐Marín Amar , El Kenawy Ahmed 
Published: November 2022

AbstractUsing observations and model simulations from the 5th and 6th phases of the Coupled Model Intercomparison Project (CMIP5 and CMIP6, respectively), this study evaluated changes in monthly, seasonal, and annual precipitation over Bolivia from 1950 to 2019. Results demonstrate that observed precipitation is characterized by strong interannual and decadal variability. However, long‐term precipitation trends were not identified on the annual scale. Similarly, changes in seasonal precipitation were almost nonsignificant (p > .05) for the study period. Spatially, albeit with its complex orography, no substantial regional variations in observed precipitation trends can be identified across Bolivia. In contrast, long‐term precipitation trends, based on CMIP5 and CMIP6 models, suggest a dominance of negative trends, mainly during austral winter (JJA) (−10%) and spring (SON) (−15%). These negative trends were more pronounced in the lowlands of Bolivia (−20%). Overall, these contradictory results highlight the need for validating precipitation trend outputs from model simulations, especially in areas of complex topography like Bolivia.
Diazotrophy modulates cyanobacteria stoichiometry through functional traits that determine bloom magnitude and toxin production
Authors: Wagner Nicole D. , Osburn Felicia S. , Taylor Raegyn B. , Back Jeffrey A. , Chambliss C. Kevin , Brooks Bryan W. , Scott J. Thad 
Published: November 2022

AbstractHarmful cyanobacterial blooms are an increasing threat to water quality. The interactions between two ecophysiological functional traits of cyanobacteria, diazotrophy (nitrogen [N]‐fixation) and N‐rich cyanotoxin synthesis, have never been examined in a stoichiometric explicit manner. We explored how a gradient of resource N : phosphorus (P) affects the biomass, N, P stoichiometry, light‐harvesting pigments, and cylindrospermopsin production in a N‐fixing cyanobacterium, Aphanizomenon. Low N : P Aphanizomenon cultures produced the same biomass as populations grown in high N : P cultures. The biomass accumulation determined by carbon, indicated low N : P Aphanizomenon cultures did not have a N‐fixation growth trade‐off, in contrast to some other diazotrophs that maintain stoichiometric N homeostasis at the expense of growth. However, N‐fixing Aphanizomenon populations produced less particulate cylindrospermopsin and had undetectable dissolved cylindrospermopsin compared to non‐N‐fixing populations. The pattern of low to high cyanotoxin cell quotas across an N : P gradient in the diazotrophic cylindrospermopsin producer is similar to the cyanotoxin cell quota response in nondiazotrophic cyanobacteria. We suggest that diazotrophic cyanobacteria may be characterized into two broad functional groups, the N‐storage‐strategists and the growth‐strategists, which use N‐fixation differently and may determine patterns of bloom magnitude and toxin production in nature.
An improved adaptive hp mesh refinement method in solving optimal control problems
Authors: Luo Changxin , Li Jiong , Zhou Chijun , Lei Humin 
Published: November 2022

AbstractIn order to improve the efficiency of the adaptive hp pseudospectral method in solving the optimal control problems, an improved adaptive hp pseudospectral method is proposed in this paper. This method mainly improves the mesh refinement process of the traditional hp pseudospectral method to reduce the number of mesh iterations, so as to achieve the purpose of shortening the solving time. The focus of this method is twofold. Firstly, by judging the position of the sudden change points of control curve, the mesh is refined in advance around them. Secondly, the non‐uniform segmentation iteration is carried out by using the curvature of the system state curve as the criterion. These two points together improve the solving efficiency of the proposed method. Through the convergence analysis and simulation verification, it is shown that the proposed method can effectively solve the optimal control problem, and it is also proved that the proposed method has higher solving efficiency than the traditional adaptive hp pseudospectral method.
Metabolic network changes during skotomorphogenesis in Arabidopsis thaliana mutant (atdfb‐3)
Authors: Li Xingjuan , Meng Hongyan , Liu Liqing , Hong Cuiyun , Zhang Chunyi 
Published: November 2022

AbstractThe metabolic networks underlying skotomorphogenesis in seedlings remain relatively unknown. On the basis of our previous study on the folate metabolism in seedlings grown in darkness, the plastidial folylpolyglutamate synthetase gene (AtDFB) T‐DNA insertion Arabidopsis thaliana mutant (atdfb‐3) was examined. Under the nitrate‐sufficient condition, the mutant exhibited deficient folate metabolism and hypocotyl elongation, which affected skotomorphogenesis. Further analyses revealed changes to multiple intermediate metabolites related to carbon and nitrogen metabolism in the etiolated atdfb‐3 seedlings. Specifically, the sugar, polyol, and fatty acid contents decreased in the atdfb‐3 mutant under the nitrate‐sufficient condition, whereas the abundance of various organic acids and amino acids increased. In response to nitrate‐limited stress, multiple metabolites, including sugars, polyols, fatty acids, organic acids, and amino acids, accumulated more in the mutant than in the wild‐type control. The differences in the contents of multiple metabolites between the atdfb‐3 and wild‐type seedlings decreased following the addition of exogenous 5‐F‐THF under both nitrogen conditions. Additionally, the mutant accumulated high levels of one‐carbon metabolites, such as Cys, S‐adenosylmethionine, and S‐adenosylhomocysteine, under both nitrogen conditions. Thus, our data demonstrated that the perturbed folate metabolism in the atdfb‐3 seedlings, which was caused by the loss‐of‐function mutation to AtDFB, probably altered carbon and nitrogen metabolism, thereby modulating skotomorphogenesis. Furthermore, the study findings provide new evidence of the links among folate metabolism, metabolic networks, and skotomorphogenesis.
Learn–confirm in model‐informed drug development: Assessing an immunogenicity quantitative systems pharmacology platform
Authors: Franssen Linnea C. , Swat Maciej J. , Kierzek Andrzej M. , Rose Rachel H. , van der Graaf Piet H. , Grimm Hans Peter 
Published: November 2022

AbstractImmunogenicity against therapeutic proteins frequently causes attrition owing to its potential impact on pharmacokinetics, pharmacodynamics, efficacy, and safety. Predicting immunogenicity is complex because of its multifactorial drivers, including compound properties, subject characteristics, and treatment parameters. To integrate these, the Immunogenicity Simulator was developed using published, predominantly late‐stage trial data from 15 therapeutic proteins. This single‐blinded evaluation with subject‐level data from 10 further monoclonals assesses the Immunogenicity Simulator's credibility for application during the drug development process.
Sample size re‐estimation in Phase 2 dose‐finding: Conditional power versus Bayesian predictive power
Authors: Liu Qingyang , Hu Guanyu , Ye Binqi , Wang Susan , Wu Yaoshi 
Published: November 2022

AbstractUnblinded sample size re‐estimation (SSR) is often planned in a clinical trial when there is large uncertainty about the true treatment effect. For Proof‐of Concept (PoC) in a Phase II dose finding study, contrast test can be adopted to leverage information from all treatment groups. In this article, we propose two‐stage SSR designs using frequentist conditional power (CP) and Bayesian predictive power (PP) for both single and multiple contrast tests. The Bayesian SSR can be implemented under a wide range of prior settings to incorporate different prior knowledge. Taking the adaptivity into account, all type I errors of final analysis in this paper are rigorously protected. Simulation studies are carried out to demonstrate the advantages of unblinded SSR in multi‐arm trials.
Urinary liver‐type fatty acid‐binding protein in clinically healthy elderly cats: Evaluation of its potential to detect IRIS stage 1 chronic kidney disease and borderline proteinuria
Authors: Kongtasai Thirawut , Paepe Dominique , Mortier Femke , Marynissen Sofie , Meyer Evelyne , Duchateau Luc , Daminet Sylvie 
Published: November 2022

AbstractBackgroundUrinary liver‐type fatty acid‐binding protein (uL‐FABP) is a promising biomarker to detect early chronic kidney disease (CKD) in cats. Few healthy cats show increased uL‐FABP for unknown reasons.ObjectivesThe objective of this study was to evaluate uL‐FABP in a large healthy elderly cat population comparing cats with and without International Renal Interest Society (IRIS) stage 1 CKD and with and without borderline proteinuria.MethodsThis was a cross‐sectional study. One hundred ninety‐six clinically healthy client‐owned cats of ≥7 years old were subdivided based on two criteria: (1) having either IRIS stage 1 CKD or no evidence of CKD and (2) having borderline proteinuria or no proteinuria. Urinary L‐FABP was measured using a validated commercially available feline L‐FABP ELISA.ResultsOverall, uL‐FABP was detectable in 6/196 (3%) healthy elderly cats. For the first subdivision, nine (5%) cats had IRIS stage 1 CKD, 184 cats had no evidence CKD and three cats were excluded. All cats with IRIS stage 1 CKD had uL‐FABP concentrations below the detection limit, whereas 6/184 (3%) cats without IRIS stage 1 CKD had detectable uL‐FABP concentrations (median 1.79 ng/ml, range 0.79–3.66 ng/ml). For the second subdivision, 47 (24%) cats had borderline proteinuria, 147 cats had no proteinuria and two cats were excluded. One of the borderline proteinuric cats had a detectable uL‐FABP concentration, whereas the other five cats with detectable uL‐FABP concentrations were non‐proteinuric.ConclusionWith the current assay, the screening potential of uL‐FABP as an early biomarker for feline CKD is limited as uL‐FABP was rarely detected in clinically healthy elderly cats independently of the presence of either IRIS stage 1 CKD or borderline proteinuria.
EPELI: a novel virtual reality task for the assessment of goal-directed behavior in real-life contexts
Authors: Seesjärvi Erik , Puhakka Jasmin , Aronen Eeva T. , Hering Alexandra , Zuber Sascha , Merzon Liya , Kliegel Matthias , Laine Matti , Salmi Juha 
Published: November 2022

AbstractA recently developed virtual reality task, EPELI (Executive Performance in Everyday LIving), quantifies goal-directed behavior in naturalistic conditions. Participants navigate a virtual apartment, performing household chores given by a virtual character. EPELI aims to tap attention, executive function, and prospective memory. To ensure its applicability to further research and clinical work and to study its relationship to relevant background factors, we examined several key properties of EPELI in 77 typically developing 9–13-year-old children. These included EPELI’s internal consistency, age and gender differences, sensitivity to gaming experience, head-mounted display (HMD) type, and verbal recall ability, as well as its relationships with parent-rated everyday executive problems. Of the eight EPELI measures, the following six showed acceptable internal consistency: task and navigation efficacy, number of correctly performed tasks and overall actions, time monitoring, and controller movement. Some measures were associated with age, gender, or verbal encoding ability. Moreover, EPELI performance was associated with parent-rated everyday executive problems. There were no significant associations of gaming background, task familiarity, or HMD type with the EPELI measures. These results attest to the reliability and ecological validity of this new virtual reality tool for the assessment of attention, executive functions, and prospective memory in children.
A Density-Dependent Target Stimulus for Inverse Bone (Re)modeling with Homogenized Finite Element Models
Authors: Bachmann Sebastian , Pahr Dieter H. , Synek Alexander 
Published: November 2022

AbstractInverse bone (re)modeling (IBR) can infer physiological loading conditions from the bone microstructure. IBR scales unit loads, imposed on finite element (FE) models of a bone, such that the trabecular microstructure is homogeneously loaded and the difference to a target stimulus is minimized. Micro-FE (µFE) analyses are typically used to model the microstructure, but computationally more efficient, homogenized FE (hFE) models, where the microstructure is replaced by an equivalent continuum, could be used instead. However, also the target stimulus has to be translated from the tissue to the continuum level. In this study, a new continuum-level target stimulus relating relative bone density and strain energy density is proposed. It was applied using different types of hFE models to predict the physiological loading of 21 distal radii sections, which was subsequently compared to µFE-based IBR. The hFE models were able to correctly identify the dominant load direction and showed a high correlation of the predicted forces, but mean magnitude errors ranged from − 14.7 to 26.6% even for the best models. While µFE-based IBR can still be regarded as a gold standard, hFE-based IBR enables faster predictions, the usage of more sophisticated boundary conditions, and the usage of clinical images.
TANTALVS POETA: THE CATALOGUE OF THE GREAT SINNERS IN SENECA'S THYESTES 1–13
Authors: Martorana Simona 
Published: November 2022

AbstractThe opening lines of Seneca's Thyestes (1–13), which feature Tantalus’ reference to the so-called great sinners, have received little critical attention. Through both an intertextual and an intratextual analysis, this article reveals the peculiarities of this allegedly canonical list of sinners by comparing it to similar catalogues in other Senecan dramas, as well as by identifying its structural function within this particular tragedy. This kind of two-fold approach enables a reinterpretation of certain key passages of the drama vis-à-vis lines 1–13, as well as a reassessment of Tantalus’ role as the creative force and architect of the tragedy.
NERO'S EXPERIMENTS WITH THE WATER-ORGAN
Authors: Morgan Harry 
Published: November 2022

AbstractThis article examines a pair of anecdotes in the works of Suetonius and Cassius Dio, describing Nero's passionate late-career interest in the instrument known as the hydraulis or water-organ. The first half of the article contextualizes the water-organ episode in light of both the history of the instrument's reputation and the wider characterization of Nero in the literary sources. The rest of the article uses the episode to shed light on Nero's self-representation as princeps, focussing on the significance of the water-organ as both a musical instrument and a technological marvel. On the one hand, the organ's popularity with Roman audiences of the Early Imperial period made it a politically strategic choice for a music-loving emperor with strong populist leanings. On the other hand, the association of the organ with the intellectual world of Hellenistic Alexandria appealed to a certain group of Roman elites (including Nero himself), who shared a keen interest in technological innovation and technical knowledge more broadly. In the end, however, Nero's experiments with the water-organ were cleverly trivialized by hostile writers and redeployed as an illustration of the emperor's most appalling vices.
More than a visitor? Rethinking metaphors for family care in long-term care homes
Authors: Klostermann Janna , Funk Laura 
Published: November 2022

AbstractRecent public and policy interventions aim to recognise formally the contributions of family care-givers to long-term residential care in Canada, with some arguing family carers are more than visitors and should be recognised as essential care-givers. These developments call for reconsidering how family care roles are understood and operationalised. Drawing on ethnographic research conducted in three care homes in Ontario, Canada, we present an in-depth feminist rhetorical analysis of the narrated lives and work practices of 12 unpaid family carers. Specifically, we explore how unpaid family carers themselves draw on broader discursive ‘ruling metaphors’ to interpret their roles and activities (e.g. as essential care-givers, visitors, team members), and how these metaphors invoke, organise and/or give rise to particular practices, responsibilities and relations. We contrast the stories of a family member who positioned herself as an essential care-giver and expressed a more onerous sense of individual responsibility with the stories of people who enjoyed the pleasures of visiting, who contributed as team members in ways that went beyond caring for their own relatives' care needs, and who embraced the possibilities that came with volunteering and with being able to influence change. Our analysis situates and contextualises participants' stories of their involvement and unpaid work in relation to their everyday material conditions and circumstances. We elaborate how different ways of understanding caring roles shape the nature of carers' unpaid work, as well as their options to share responsibility or set limits on that work. We also raise questions about the organisational conditions needed to help enact care as a shared collective responsibility.
Optimal allocation of policy limits in layer reinsurance treaties
Authors: Wang Chuchu , Wang Wei , Zhang Yiying , Zhao Peng 
Published: November 2022

AbstractLayer reinsurance treaty is a common form obtained in the problem of optimal reinsurance design. In this paper, we study allocations of policy limits in layer reinsurance treaties with dependent risks. We investigate the effects of orderings and heterogeneity among policy limits on the expected utility functions of the terminal wealth from the viewpoint of risk-averse insurers faced with right tail weakly stochastic arrangement increasing losses. Orderings on optimal allocations are presented for normal layer reinsurance contracts under certain conditions. Parallel studies are also conducted for randomized layer reinsurance contracts. As a special case, the worst allocations of policy limits are also identified when the exact dependence structure among the losses is unknown. Numerical examples are presented to shed light on the theoretical findings.