bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hypertensive events after the initiation of contemporary cancer therapies for breast cancer control
Authors: Carter Rebecca R. , Chum Aaron P. , Sanchez Reynaldo , Guha Avirup , Dey Amit K. , Reinbolt Raquel , Kim Lisa , Otchere Prince , Oppong‐Nkrumah Oduro , Abraham William T. , Lustberg Maryam , Addison Daniel 
Published: May 2022

AbstractBackgroundContemporary therapies improve breast cancer (BC) outcomes. Yet, many of these therapies have been increasingly linked with serious cardiotoxicity, including reports of profound hypertension. Yet, the incidence, predictors, and impacts of these events are largely unknown.MethodsLeveraging two large U.S.‐based registries, the National Inpatient Sample (NIS) and the Food and Drug Administration Adverse Event Reporting System (FAERS) databases, we assessed the incidence, factors, and outcomes of hypertensive events among BC patients from 2007 to 2015. Differences in baseline characteristics, hypertension‐related discharges, and complications were examined over time. Further, we performed a disproportionality analysis using reporting‐odds‐ratios (ROR) to determine the association between individual BC drugs and hypertensive events. Utilizing an ROR cutoff of >1.0, we quantified associations by drug‐class, and individual drugs with the likelihood of excess hypertension.ResultsOverall, there were 5,464,401 BC‐admissions, of which 46,989 (0.8%) presented with hypertension. Hypertensive BC patients were older, and saw initially increased in‐hospital mortality, which equilibrated over time. The mean incidence of hypertension‐related admissions was 732 per 100,000 among BC patients, versus 96 per 100,000 among non‐cancer patients (RR 7.71, p < 0.001). Moreover, in FAERS, those with hypertension versus other BC‐treatment side‐effects were more frequently hospitalized (40.1% vs. 36.7%, p < 0.001), and were most commonly associated with chemotherapy (45.9%). Outside of Eribulin (ROR 3.36; 95% CI 1.37–8.22), no specific drug was associated with a higher reporting of hypertension; however, collectively BC drugs were associated with a higher odds of hypertension (ROR 1.66; 95% CI 1.09–2.53).ConclusionsBC therapies are associated with a substantial increase in limiting hypertension.
Absorption of Carbon Dioxide into n‐Butanol and Ethyl Acetate in a Column with Structured Packing
Authors: Çelikçi Gizem Genç , Uysal Duygu , Uysal Bekir Zühtü 
Published: May 2022

AbstractA recently developed and efficient absorption contactor was evaluated, using alternative physical absorption liquids that are more economical, environmentally friendly, easier to recycle, untested and have lower energy requirements compared to commercial absorption solutions for capturing carbon dioxide. For this purpose, CO2 was captured using n‐butanol and ethyl acetate in an originally designed structured packed column. Mass transfer coefficients were determined at different gas and liquid velocities. The results are correlated in terms of dimensionless numbers, such as ShL = 0.01283ReG1.4ReLScL1/3, with a regression coefficient of 0.992.
Hetero MOF‐on‐MOF‐derived carbon nanotube interconnected nitrogen‐doped carbon‐encapsulated FeNi/FeF2 for efficient oxygen evolution reaction
Authors: Zhou Yang , Liu Hui , Gu Xiaocong , Wu Xiang , Feng Ligang 
Published: May 2022

AbstractHeterostructures derived from metal–organic frameworks (MOFs) with multicomponent synergism are significant in the energy conversion and catalysis reactions. Herein, we demonstrated such an efficient catalyst with the structure of self‐catalyzed nitrogen‐doped carbon nanotube interconnected FeNi/FeF2 derived from hetero‐zeolite imidazolate frameworks 8 (ZIF‐8) on Fe2Ni MIL (MIL represents Materials of Institut Lavoisier) for oxygen evolution reaction. The obtained catalyst showed efficient synergism of the multicomponents, high polarity, more active sites exposure, increased intrinsic activity, and improved conductivity and stability by a carbon interconnected and confined structure as revealed by the spectroscopic analysis and electrochemical measurements. It required an overpotential of only ca. 240 mV (no iR correction) to reach the current density of 10 mA cm−2 in a KOH solution when loaded on an inert glass carbon electrode, much better than similar kinds of catalysts. The improved catalytic performance can be well correlated to the structural transformation step by step from different MOFs to their derivatives by subsequent carbonation and fluorination. Because of the above‐mentioned structural advantages, good catalysis performance of high activity and stability, faster catalytic kinetics, and facile active phase formation were observed compared to those of other similar materials. This work offers a new platform of derivatives from hetero MOF‐on‐MOF for catalysis reactions.
Analytical and numerical investigations of mixing fluids in microchannel systems of different geometrical configurations
Authors: Shanbhag Vikram V. , Mukherjee Joydeb , Pandit Aniruddha Bhalchandra 
Published: May 2022

AbstractThis work presents theoretical and numerical studies related to micromixing phenomena using two different shapes of microchannel systems (i.e., X‐ and Y‐shaped, respectively). In this study, we consider a system that consists of a primary fluid, an aqueous phase (Fluid A), and a secondary fluid (distributed phase), Rhodamine B, in water (Fluid B). In this study, a two‐dimensional closed‐form generalized analytical model is developed and solved using the method of separation variables to understand the fluid flow mixing behaviour under the influence of a convective–diffusive mass transport process. In addition, numerical simulations are also performed by solving the continuity, momentum, and mass transport equations for the two proposed microchannel systems under different flow conditions to understand the relative effects on micromixing phenomena resulting from the convection and diffusion mass transport. Results obtained from the numerical simulations evaluate the mixing performance by varying the inlet flow velocity of the secondary fluid stream (Fluid B: Rhodamine B in water). The numerical result in terms of the radial concentration distribution profile as a function of channel width based on the operating Reynolds number by varying inlet feed flow velocity (Fluid B) shows that more effective mixing has been carried out by the X‐shaped microchannel compared to the Y‐shaped microchannel. Moreover, the proposed generalized analytical model was validated with the obtained numerical results in terms of the normalized concentration distribution as a function of the normalized channel width. A good agreement between the analytical and obtained numerical results ( for both shapes of microchannel systems has been observed.
Calcium looping carbon capture: Progress and prospects
Authors: Hashemi Seyed Mojtaba , Sedghkerdar Mohammad Hashem , Mahinpey Nader 
Published: May 2022

AbstractCarbon capture and utilization/storage is an integral part of a smooth transition to a net‐zero energy portfolio. The distinctive advantages of the calcium looping (CaL) process, including low‐cost and high‐theoretical uptake capacity, make it a promising approach for the decarbonization of fossil fuel power plants and carbon‐intensive industries, including cement and steel. CaL exploits the reversible reaction of CO2 with CaO to capture and release carbon dioxide in a cyclic process. This paper reviews the fundamentals of the CaL process, the kinetics of the carbonation reaction, and extensive research on the development of sorbent materials with high durability for use in the CaL process. Various optimizing strategies for the improvement of the stability and CO2 uptake capacity of materials are outlined. Lastly, an overview of bench‐ and pilot‐scale testing facilities around the world is provided. The characteristics, operating conditions, and the main experimental findings of the testing facilities are summarized.
An elastic recommender process for cloud service recommendation scalability
Authors: Qi Rui‐dong , Zhou Jian‐tao , Wang Zhuowei , Song Xiaoyu 
Published: May 2022

AbstractCloud computing services are ubiquitous in society and cloud recommender systems play a crucial role in intelligently selecting services for cloud users. Currently, recommendations are static with low scalability. Only one recommendation list is generated at a time and the recommender strategy in the recommendation cycle is not adjustable. This paper presents a new elastic recommender process (ERP) for cloud users. A Markov model is used to characterize the dynamic relationship between different user states. The ERP generates an elastic recommendation that can be used to dynamically adjust the recommender strategy to meet the user's needs based on their browsing records in the current service cycle without the recommender system's involvement. Experimental results show that the ERP improves the effectiveness of the recommender thus increasing the accuracy and diversity of its recommendations.
A new meta‐heuristic approach for load aware‐cost effective workflow scheduling
Authors: Ram Satya Deo Kumar , Srivastava Shashank , Mishra Krishn Kumar 
Published: May 2022

AbstractWorkflow scheduling is an important way to manage the execution of a workflow. It introduces the concept of providing suitable resources to workflow tasks in order to finish workflow execution and meet the user's objectives. However, the problem becomes more complex when scheduling must balance two conflicting objectives, such as minimizing execution cost and maximizing load across all computing resources. A workflow has many interdependent tasks, and the cloud datacenter has many computing resources to execute the workflow. There can be an asymptotically infinite number of mappings of tasks‐to‐computing resources. Every mapping produces different execution costs with different workloads on computing resources. The main challenge for the researcher is to develop an intelligent scheduling algorithm to identify an optimal mapping that produces minimal execution cost with fair workload distribution on resources. We developed a novel meta‐heuristic algorithm named Investment‐Based Optimization (IBO) to identify an optimal mapping. The IBO algorithm was first tested on optimization benchmark functions and then simulated in CloudSim to see its performance for scheduling workflows. Finally, IBO was tested over Montage, Epigenomics, Sipht, and a sample workflow, and it was found that IBO reduces execution costs by 33%, 16%, 16.36%, and 20% with a fair workload distribution.
Self‐report measures of secure attachment in adulthood: A systematic review
Authors: Justo‐Núñez Miranda , Morris Lydia , Berry Katherine 
Published: May 2022

AbstractBackgroundSecure attachment in adulthood is associated with many markers of adaptive functioning. Valid and reliable self‐report measures of attachment security could provide a practical tool to help advance strengths‐based research and clinical work. Previous reviews have not specifically examined the psychometric properties of self‐report instruments with respect to secure attachment or systematically appraised the methodological quality of relevant validation studies.MethodA systematic review was completed in accordance with the COSMIN guidelines for reviews of patient‐reported outcome measures. The methodological quality of individual studies was evaluated, and results were rated against criteria for good measurement properties.ResultsA total of 40 studies were included in the review, which collectively reported on 24 self‐report instruments. The methodological quality of individual studies was variable, and no single instrument was identified as having sufficient evidence of a range of psychometric properties. However, the Attachment Style Questionnaire‐Short Form (ASQ‐SF), the Cartes‐Modèles Individuels de Relations (CAMIR), Cartes‐Modèles Individuels de Relations‐Reduced (CAMIR‐R), and the Psychological Treatment Inventory‐Attachment Style Scales (PTI‐ASS) had the most robust evidence for the properties assessed.ConclusionExisting self‐report measures assessing adult secure attachment have limited psychometric support. More methodologically robust studies of content validity, reliability, measurement invariance, and construct validity in particular are needed.
Do circular economy practices affect corporate performance? Evidence from Italian large‐sized manufacturing firms
Authors: Mazzucchelli Alice , Chierici Roberto , Del Giudice Manlio , Bua Ilenia 
Published: May 2022

AbstractIn recent years, corporate social responsibility has become the most outstanding challenges for firms and circular economy has emerged as an innovative business model able to transform corporate social responsibility into actions. Even if by adopting such a strategic model firms could enhance their performance, results continue to be mixed and unclear. The aim of the paper is twofold. First, the study investigates the effect of three circular economy practices (waste treatment, reduction and recycling), on brand reputation and financial performance. Second, the study tests the role of brand reputation in mediating the relationship between circular economy practices and financial performance. The findings highlight the crucial role of 3Rs practices and of brand reputation in enhancing firm performance. This paper contributes to a better understanding on the relationship between circular economy practices, as sustainable strategic and managerial practices, and firm performance, in both marketing and financial terms. Moreover, it sheds light on circular economy implementation and its effect at the firm level, by analyzing managers perceptions on how firms and policy makers have to incorporate the circular economy concept in their sustainability agenda.
Young forests and fire: Using lidar–imagery fusion to explore fuels and burn severity in a subalpine forest reburn
Authors: Braziunas Kristin H. , Abendroth Diane C. , Turner Monica G. 
Published: May 2022

AbstractAnticipating fire behavior as climate change and fire activity accelerate is an increasingly pressing management challenge in fire‐prone landscapes. In subalpine forests adapted to infrequent, stand‐replacing fire, self‐limitation of burn severity in short‐interval fire is incompletely understood. Spatially explicit fuels data can support assessments of landscape‐scale fire risk and fuel feedbacks on burn severity. For a ~1450‐km2largely forested landscape in the US Northern Rocky Mountains, we used airborne lidar and imagery to predict and map canopy and surface fuels. In a fire that burned mature (>125‐year‐old) and also reburned young (~30‐year‐old) subalpine forest, we then asked: (1) How do prefire fuels and burn severity compare between young and mature forests that burned under similar fire weather conditions? (2) How well do prefire fuels and forest structure predict burn severity under extreme versus moderate fire weather? Lidar–imagery fusion predicted fuel characteristics with high accuracy across forest and shrubland vegetation. Young postfire forests had abundant, densely packed canopy fuels, and both young and mature forests had similar canopy fuel loads and coarse wood biomass. Under similar weather conditions, young and mature forests burned at similar severity. Overall, fuels were weak predictors of burn severity and, surprisingly, better predicted severity under extreme rather than moderate fire weather. Our findings are relevant for subalpine landscapes increasingly dominated by young lodgepole pine (Pinus contortavar.latifolia) forests vulnerable to short‐interval fire and provide a benchmark to assess how fuels influence burn severity in future fires. Fire managers should continually reassess fuels and update expectations about fire behavior as landscapes change. Although recovering postfire forests can limit fire spread and severity for a period of time, our results suggest that young subalpine forests in the Northern Rocky Mountains have sufficient fuel loads to burn at high severity and should not be considered effective fire breaks.
Acute resource pulses from periodical cicadas propagate to belowground food webs but do not affect tree performance
Authors: Setälä Heikki , Szlavecz Katalin , Pullen Jamie D. , Parker John D. , Huang Yumei , Chang Chih‐Han 
Published: May 2022

AbstractAcute resource pulses can have dramatic legacies for organismal growth, but the legacy effects of resource pulses on broader aspects of community structure and ecosystem processes are less understood. Mass emergence of periodical cicadas (Magicicadaspp.) provides an excellent opportunity to shed light on the influence of resource pulses on community and ecosystem dynamics: the adults emerge every 13 or 17 years in vast numbers over much of eastern North America, with a smaller but still significant number becoming incorporated into forest food webs. To study the potential effects of such arthropod resource pulse on primary production and belowground food webs, we added adult cicada bodies to the soil surface surrounding sycamore trees and assessed soil carbon and nitrogen concentrations, plant‐available nutrients, abundance and community composition of soil fauna occupying various trophic levels, decomposition rate of plant litter after 50 and 100 days, and tree performance for 4 years. Contrary to previous studies, we did not find significant cicada effects on tree performance despite observing higher plant‐available nutrient levels on cicada addition plots. Cicada addition did change the community composition of soil nematodes and increased the abundance of bacterial‐ and fungal‐feeding nematodes, while plant feeders, omnivores, and predators were not influenced. Altogether, acute resource pulses from decomposing cicadas propagated belowground to soil microbial‐feeding invertebrates and stimulated nutrient mineralization in the soil, but these effects did not transfer up to affect tree performance. We conclude that, despite their influence on soil food web and processes they carry out, even massive resource pulses from arthropods do not necessarily translate to NPP, supporting the view that ephemeral nutrient pulses can be attenuated relatively quickly despite being relatively large in magnitude.
Phenylacetylglutamine as a risk factor and prognostic indicator of heart failure
Authors: Zong Xiao , Fan Qin , Yang Qian , Pan Roubai , Zhuang Lingfang , Tao Rong 
Published: May 2022

AbstractAimsTo explore the associations between serum phenylacetylglutamine (PAGln) and chronic heart failure (HF).Methods and resultsTotally 956 subjects were enrolled consecutively from the Department of Cardiovascular Medicine, Ruijin Hospital. Baseline data were obtained from all participants, and 471 stable chronic HF subjects were followed up. Serum PAGln was analysed by liquid chromatography–tandem mass spectrometry. The association between PAGln and basic renal indicators was assessed by simple correlation analysis. Logistic regression analysis was conducted to measure the association between PAGln and HF risk. Event‐free survival was determined by Kaplan–Meier curves, and differences in survival were assessed using log‐rank tests. Cox proportional hazards analysis was used to assess the prognostic value of PAGln in HF. Serum PAGln levels were increased in patients with chronic HF (3.322 ± 8.220 μM vs. 1.249 ± 1.168 μM, P < 0.001) and were associated with HF after full adjustment [odds ratio (OR), 1.507; 95% confidence interval (CI): 1.213–1.873; P < 0.001]. PAGln levels were correlated with the levels of basic renal indicators. High PAGln levels indicated a high risk of renal dysfunction in HF (OR: 1.853; 95% CI: 1.344–2.556; P < 0.001), and elevated PAGln levels were associated with a high risk of cardiovascular death in patients with chronic HF (HR: 2.049; 95% CI: 1.042–4.029; P = 0.038).ConclusionsElevated PAGln levels are an independent risk factor for HF and are associated with a higher risk of cardiovascular death. High PAGln levels could indicate renal dysfunction in HF patients. PAGln can be a valuable indicator of HF.
Research on the remaining useful life prediction method of lithium‐ion batteries based on aging feature extraction and multi‐kernel relevance vector machine optimization model
Authors: Qiu Jing‐Song , Fan Yong‐Cun , Wang Shun‐Li , Yang Xiao , Qiao Jia‐Lu , Liu Dong‐Lei 
Published: May 2022

SummaryLithium‐ion batteries are used in a wide range of applications due to their cleanliness and stability, and the health management of lithium‐ion batteries has become a necessity. The most important aspect of health management is the prediction of the remaining useful life (RUL) of the battery. Therefore, a RUL estimation model based on the aging factor of the charging process and an improved multi‐kernel relevance vector machine is proposed in order to achieve high accuracy estimation of the RUL of lithium‐ion batteries. First, eight aging features highly correlated with lithium‐ion batteries capacity degradation are extracted based on charging current, voltage, and temperature data, then, their correlation is proved using gray relation analysis. Secondly, the improved gray wolf constrained optimization algorithm is used to determine the kernel function combination coefficients of the multi‐kernel relevance vector machine, and the RUL prediction model of the improved multi‐kernel relevance vector machine is established. Finally, using the battery dataset from NASA, aging data of three datasets, 24°C, 43°C, and 4°C, with a total of 11 batteries, were selected for validation. The validation results show that the improved multi‐kernel relevance vector machine prediction model has higher prediction accuracy and more robust long‐term prediction capability, with RUL prediction error less than 10 cycles and MAE less than 0.05, both of which are better than that of the single‐kernel relevance vector machine model and other multi‐kernel relevance vector machine models.
Investigation of degradation characteristics of electron irradiated GaInP/InGaAs/Ge solar cell by numerical simulation model
Authors: Zhang Weinan , Aierken Abuduwayiti , Zhuang Yu , Wang Bing , Fang Liang , Zhang Shuyi , Zhang Daoyong , Yang Xin , Song Qiaogang , Wang Tingbao 
Published: May 2022

SummaryThe degradation characteristics of lattice‐matched (LM) GaInP/InGaAs/Ge solar cell under 1 MeV electron irradiation are numerically simulated using APSYS finite element analysis software and Essential Macleod Program. Main output parameters of solar cells are simulated based on the material energy band, minority carrier lifetime, and interface surface recombination velocity. The results show that the adverse effects of the displacement damages in solar cell materials induced by irradiation are the primary reasons for overall cell performance degradation. The minority carrier lifetime degraded mostly in InGaAs middle subcell after irradiation, and it became to the current‐limiting unit in the end‐of‐life condition. The simulation results of the current‐voltage curves and the external quantum efficiency spectra are well agreed with the irradiation experimental data under similar conditions. Furthermore, an approach to radiation hardening of LM GaInP/InGaAs/Ge solar cell by adjusting the base and emitter layer thickness in the InGaAs middle subcell is proposed based on this model.