bluuebunny/crossref_metadata_2025_split huggingface dataset:
A novel foam of geopolymer based on ZSM‐5 zeolite fabricated using templating emulsion/chemical foaming method and its application in batch and continuous dye removal systems
Authors: Monjezi Mahboobeh , Javanbakht Vahid 
Published: December 2022

AbstractGeopolymers as sustainable and environmentally friendly “green materials,” can be synthesized by utilizing waste material and by‐products. A porous geopolymer foam adsorbent based on ZSM‐5 zeolite was prepared using templating emulsion/chemical foaming method in different conditions and used for removal of low‐concentration dye in batch and continuous systems. The parameters affecting the dye adsorption including temperature, concentration, pH, kinetics, isotherm, and thermodynamics of the process were investigated. The results of the geopolymer foam synthesis showed that thermal pretreatment of the zeolite has a positive effect on the strength and adsorption capacity. Moreover, the increase in sodium silicate more than the stoichiometric reduces the strength and adsorption capacity. The findings obtained from the batch adsorption process showed that the adsorption kinetics of the pseudo‐second‐order model and the adsorption isotherm of the Temkin model is adjusted with the experimental data. Thermodynamic results indicated that the process of dye adsorption with geopolymer foam is exothermic. The results from continuous experiments indicated more compatibility of the adsorption process with the models of Thomas and Bohart–Adams. The maximum adsorption capacity of methylene blue in batch and continuous processes was 9.82 and 8.17 mg/g. The adsorbent reduction was performed successfully by chemical and thermal processes.
Optimization of distribution patterns of link beams in a double‐column tall pier bent subjected to earthquake excitations
Authors: Chen Xu , Spencer Billie F. , LI Jianzhong , Guan Zhongguo , Pang Yutao 
Published: December 2022

AbstractSeismic performance of double‐column tall pier bents has to date scarcely been investigated. The deployment of link beams between columns, including numbers and locations, is generally designed according to the experience of engineers, without any sophisticated procedure. This paper proposes a response surface‐based optimization procedure that searches for optimal configurations of link beams of double‐column tall pier bents, considering multiple performance objectives. The response surface model is well‐developed by considering training samples from uniform design methods, boundary conditions, and iteration procedures. With a typical double‐column tall pier bent in southwest China as an example, the correctness of the proposed procedure is validated by comparing seismic responses with those from conventional optimization methods. Furthermore, this response surface‐based procedure possesses a substantially higher time efficiency than is the case with conventional methods, due to less nonlinear time history analyses as required. The Pareto optimal front is employed to trade off competing objectives in this example and to provide potential optimal design options for engineers.
Impacts of climate change on hulless barley security in plateau region: A case study of Lhasa River basin in Tibet, China
Authors: Zhang Yin , Hu Qingwu , Tao Jianbin 
Published: December 2022

AbstractAccurate understanding of the impacts of climate change on hulless barley and river in the Lhasa River Basin is of great significance to food security and water resources management in the plateau region. It is important to explore the relationship between hulless barley and river under the background of climate change for the comprehensive and coordinated development of agriculture and water conservancy. Based on the Google Earth Engine (GEE) cloud computing platform, the Random Forest algorithm was used to obtain the spatio‐temporal variation of hulless barley and river in the Lhasa River Basin from 2010 to 2020. The overall accuracy and Kappa coefficient of classification results were 89.54% and 85.96%, respectively. The average area and Normalized Difference Vegetation Index (NDVI) of hulless barley from 2010 to 2020 were 178.46 km2 and 0.69, respectively. The increase of accumulated precipitation, number of precipitation days, average dew point temperature (ADPT) and average wind speed (AWS) promoted the growth of hulless barley, with NDVI significant increasing rate of 0.0173 (R2 = 0.764, p < 0.001). The combined effects of human activities (construction of water conservancy facilities and mining activities), ADPT and AWS resulted in a significant decrease (decreasing rate: 10.8682 km2/year, p < 0.01) in river area during 2010–2020. There was a significant negative correlation (R2 = 0.722, p < 0.01) between hulless barley NDVI and river area driven by climate factors. The changes in hulless barley gravity center and river gravity center were consistent, and both shifted in the northeast direction. These results provide a scientific understanding of the impacts of plateau climate change on agriculture and water resource. The land cover maps of the Lhasa River Basin with long time series and high spatial resolution were drawn. Our study verified the relevance between hulless barley gravity center and river gravity center as well as the internal relationship between hulless barley growth and river area. Furthermore, we explored the interrelation relationships among hulless barley, the Lhasa River area and climate factors.
Sevoflurane participates in the protection of rat renal ischemia‐reperfusion injury by down‐regulating the expression of TRPM7
Authors: Xu Xudong , Deng Rongrong , Zou Lu , Pan Xiaoyan , Sheng Zhifeng , Xu Da , Gan Tingting 
Published: December 2022

AbstractIntroductionTo investigate the protective effect of sevoflurane preconditioning on renal ischemia‐reperfusion injury (renalischemiareperfusionmodel, RIRI) and its related mechanism.MethodsEighty healthy adult male SD rats were randomly divided into control group (Sham group), model group (RIRI group), sevoflurane pretreatment group (Sev group) and TRPM7 inhibitor combined with sevoflurane pretreatment group (T + Sev group), 20 animals in each group. Hematoxylin‐eosin (HE) staining was used to observe the pathological changes of renal tissue, and the levels of creatinine and urea nitrogen in each group were detected. Deoxyribonucleic acid terminal transferase‐mediated dUTP nick end labeling (TUNEL) assay was used to detect renal cell apoptosis, and Western blottingwas used to detect the expression of apoptotic proteins cleaved‐caspase‐3, bax, Bcl‐2, and TRPM7 in renal tissue; Detection of oxidative stress‐related index levels in renal tissue and levels of inflammatory factors in renal tissue and serum.ResultsCompared with the Sham group, the renal tissue pathological damage was aggravated, the levels of creatinine and blood urea nitrogen were increased, and the apoptosis was increased in the RIR group and the Sev group. Death, malondialdehyde (MDA) levels and inflammatory factors were increased, and superoxide dismutase (SOD) levels were decreased (all p < .05); The scores, apoptosis rate, MDA level, and relative expression of inflammatory factor levels were decreased, and SOD levels were increased (all p < .05). Compared with the Sev group, the renal tissue pathological damage in the T + Sev group was aggravated, creatinine, blood urea nitrogen levels increased, apoptosis increased, apoptosis‐related proteins cleaved‐caspase‐3, bax, Bcl‐2 showed increased apoptosis, malondialdehyde (MDA) levels, inflammatory factor levels increased, ultrahigh The levels of oxide dismutase (SOD) were decreased (all p < .05).ConclusionsTherefore, we believe that sevoflurane is involved in the protection of rat renal ischemia‐reperfusion injury by downregulating the expression of TRPM7.
Exploring the role of oil shocks on the financial stability of Gulf Cooperation Council countries
Authors: Elsayed Ahmed H. , Downing Gareth , Lau Chi Keung Marco , Sheng Xin 
Published: December 2022

AbstractThis study explores the relationship and connectedness between oil returns and financial stresses in six Gulf Cooperation Council (GCC) countries using daily data from September 21, 2006 to May 31, 2019. The Bayesian Graph‐based Structural Vector Autoregression (BGSVAR) model is utilised to estimate and analyse the direction of causality. In addition, the spillover approach is utilised to examine connectedness and risk transmission patterns between oil returns and financial stresses in the GCC economies in both time and frequency domains. The empirical analysis of the BGSVAR model shows that oil returns and financial stresses have both a contemporary and temporal relationship, whilst findings from the spillovers analysis show that oil returns tend to act as a net transmitter of spillovers to GCC financial markets in both medium and long‐run horizons but a net receiver of spillovers in the short‐run.
Magnetic porous carbon nanocomposites derived from cactus (Opuntia stricta Haw.) for the removal of toxic dyes: optimization of synthesis conditions using response surface methodology
Authors: Nguyen Duyen Thi Cam , Jalil A. A. , Huynh Nguyen Chi , Phan Linh Quang , Vo Dai‐Viet N. , Tran Thuan Van 
Published: December 2022

AbstractBACKGROUNDWater purification of industrial effluents containing toxic organic dyes by low‐cost biomass‐based adsorbents is not only in accordance with environmental remediation policies, but also reduces total treatment costs. The conversion of Opuntia stricta Haw. biowaste, one of the most harmful invasive plants, into absorbents can lessen the ecological problems caused by this plant species as well as create more value‐added products for water decontamination. We report on the fabrication conditions of O. stricta zinc ferrite (ZnFe2O4)‐loaded activated carbon (ZnFe2O4@AC) for the elimination of two types of dyes including Rhodamine B (RhB), methyl orange (MO) and acid yellow17 (AY), with process optimization based on response surface methodology combined with Box–Behnken design. The optimized ZnFe2O4@AC was structurally characterized by scanning electron microscopy and X‐ray diffraction.RESULTSThe optimal ZnFe2O4@AC was attained at a 1.5 ZnFe2O4:OBC ratio, 5 h carbonization time and 519 °C pyrolysis temperature. In removing RhB, MO and AY by optimized ZnFe2O4@AC, remarkable adsorption capacities (53.34–82.8 mg g−1) were achieved via confirmation tests with very low errors (<2%) and high desirability (>95%). Moreover, kinetic results suggested that the Elovich model was the best description for RhB and AY dye adsorption, whereas MO adsorption by ZnFe2O4@AC followed the pseudo‐second‐order model. The maximum adsorption capacities calculated from the Langmuir equation were determined in the order: AY (82.73 mg g−1) < RhB (125.13 mg g−1) < MO (180.51 mg g−1).CONCLUSIONZnFe2O4@AC derived from O. stricta could be recommended as a high‐efficiency bioadsorbent for the elimination of cationic, anionic and neutral dyes. © 2022 Society of Chemical Industry (SCI).
Very late local recurrences of hepatocellular carcinoma with macrovascular invasion treated with stereotactic body radiotherapy: Report of two cases
Authors: Locke Gordon E. , Alrabiah Khalid , Kim Tae Kyoung , Knox Jennifer , Jang Raymond , Dawson Laura A. 
Published: December 2022

AbstractBackground and AimsStereotactic body radiotherapy (SBRT) for hepatocellular carcinoma (HCC) is becoming an accepted local therapy in patients who are not candidates for surgical intervention, ablation or transarterial chemo‐embolization. In patients with HCC with macrovascular invasion, SBRT is sometimes the treatment of choice, especially when systemic therapies are contraindicated, not available or if the HCC is refractory to systemic therapy.MethodsWe present two cases of HCC with tumour macrovascular invasion treated with SBRT. Both tumours appeared to have a complete response to SBRT over the subsequent 5 years.ResultsVery late, in‐field local recurrences of HCC were diagnosed 73 and 78 months following SBRT. One patient underwent re‐irradiation, was started on Levatinib and remains alive at 12 months following his recurrence. The other patient experienced rapid hepatic and extra‐hepatic HCC progression shortly after the local recurrence occurred, and they expired 6 months later.ConclusionsWe demonstrate that patients treated with SBRT for HCC, with or without vascular invasion, may have prolonged tumour control and overall survival beyond 5 years. As more HCC patients are living longer compared to historical cohorts, it has become apparent that very late local recurrences of HCC may occur highlighting the need for long‐term surveillance.
Perspectives for novel therapeutic concepts in hepatocellular carcinoma targeting the stromal and innate immune microenvironment
Authors: Rennert Charlotte , Lang‐Meli Julia , Gromak Mikhail , Hofmann Maike , Thimme Robert , Roehlen Natascha 
Published: December 2022

AbstractHepatocellular carcinoma (HCC) is a major public health burden with increasing incidence and mortality worldwide. Arising almost exclusively on the background of chronic liver disease, the tumour microenvironment plays a tremendous role in the occurrence and progression of HCC. With the emergence of checkpoint inhibitor‐based combination therapies as first‐line therapy in advanced HCC, the tumour microenvironment has drawn increasing attention as a target for novel therapeutic approaches. In fact, checkpoint‐inhibitor‐based immunotherapies currently dominate clinical studies on HCC therapy. Importantly, whilst checkpoint‐inhibitor‐based immune‐oncology primarily targets T‐cells, the tumour microenvironment consists of a wide variety of different cell populations that show complex interactions with each other and the malignant tumour cells. Stromal cells and representatives of the innate immune system, such as macrophages, neutrophils and natural killer cells hereby orchestrate the initial immune response and thus appear as attractive targets for broad therapeutic effects, less susceptible to immune escape. In this review, we aim to discuss the current knowledge on the role of innate immune cells and stromal cell populations in HCC initiation and progression as well as related novel therapeutic concepts.
Patients' satisfaction with nursing care quality and associated factors: A cross‐section study
Authors: Alharbi Hanan Fahad , Alzahrani Naif S. , Almarwani Abdulaziz Mofdy , Asiri Saeed A. , Alhowaymel Fahad M. 
Published: December 2022

AbstractAimThis research aimed to evaluate patients' satisfaction with the nursing care quality during their hospitalization.DesignQuantitative cross‐sectional descriptive design.MethodsA convenience sample of 238 patients were recruited from hospitals in two provinces in Saudi Arabia. Patient satisfaction was measured by the Arabic version of the Patients' Satisfaction with Nursing Care Quality Questionnaire (PSNCQQ‐Ar).ResultsSignificant differences were found between Saudi provinces regarding the overall quality of nursing care (M = 4.65, p < 0.001). The study revealed mean significant variations between patient satisfaction with nursing care and sociodemographic factors, including age (p = 0.002), education level (p = 0.047), marital status (p = 0.017), employment status (p = 0.038), urban vs. suburban residence (p = 0.006), length of hospitalization (p = 0.001), and accompaniment by a family member (p = 0.014). Improving patients' experience during their hospitalization requires regular examination of the quality of nursing care services.Patient ContributionThis research enhances our understanding of patients satisfaction toward the quality of nursing care received during hospitalization.
Development and validation of an electronic health records‐based opioid use disorder algorithm by expert clinical adjudication among patients with prescribed opioids
Authors: Ranapurwala Shabbar I. , Alam Ishrat Z. , Pence Brian W. , Carey Timothy S. , Christensen Sean , Clark Marshall , Chelminski Paul R. , Wu Li‐Tzy , Greenblatt Lawrence H. , Korte Jeffrey E. , Wolfson Mark , Douglas Heather E. , Bowlby Lynn A. , Capata Michael , Marshall Stephen W. 
Published: December 2022

AbstractBackgroundIn the US, over 200 lives are lost from opioid overdoses each day. Accurate and prompt diagnosis of opioid use disorders (OUD) may help prevent overdose deaths. However, international classification of disease (ICD) codes for OUD are known to underestimate prevalence, and their specificity and sensitivity are unknown. We developed and validated algorithms to identify OUD in electronic health records (EHR) and examined the validity of OUD ICD codes.MethodsThrough four iterations, we developed EHR‐based OUD identification algorithms among patients who were prescribed opioids from 2014 to 2017. The algorithms and OUD ICD codes were validated against 169 independent “gold standard” EHR chart reviews conducted by an expert adjudication panel across four healthcare systems. After using 2014–2020 EHR for validating iteration 1, the experts were advised to use 2014–2017 EHR thereafter.ResultsOf the 169 EHR charts, 81 (48%) were reviewed by more than one expert and exhibited 85% expert agreement. The experts identified 54 OUD cases. The experts endorsed all 11 OUD criteria from the Diagnostic and Statistical Manual of Mental Disorders‐5, including craving (72%), tolerance (65%), withdrawal (56%), and recurrent use in physically hazardous conditions (50%). The OUD ICD codes had 10% sensitivity and 99% specificity, underscoring large underestimation. In comparison our algorithm identified OUD with 23% sensitivity and 98% specificity.Conclusions and relevanceThis is the first study to estimate the validity of OUD ICD codes and develop validated EHR‐based OUD identification algorithms. This work will inform future research on early intervention and prevention of OUD.
Theoretical insights into the synthesis mechanism of two amino‐substituted derivatives of FOX‐7
Authors: Shang Fangjian , Wang Ting , Ma Yinhua , Lv Meiheng 
Published: December 2022

AbstractFOX‐7 is a typical high‐energy and low‐sensitivity material. Due to the unique “push‐pull” nitroenamine structure, abundant derivatives with good performance can be synthesized. DFT method is used to study the synthesis mechanism for two FOX‐7 amino‐substituted derivatives. The synthesis mechanism of amino‐substituted derivative MTNzA is cyclization followed by isomerization, which is different from the pathway of isomerization followed by cyclization proposed by previous authors. Carbohydrazide is tend reacted with two FOX‐7 to produce BADCh, rather than ring formation with one FOX‐7.
Hybrid adaptive extended state observer for event‐triggered networked nonlinear systems subject to deception attacks and external disturbances
Authors: Yu Yang , Yuan Yuan 
Published: December 2022

AbstractIn this article, the estimation problem is investigated for a class of continuous‐time networked nonlinear systems under both deception attacks and external disturbances. A novel adaptive extended state observer is adopted to estimate the states and disturbance under random deception attacks. The dynamic event‐triggered mechanism (ETM) is adopted so as to save the communication resource. Meanwhile, the inter‐sample output predictor is proposed to estimate the state between two consecutive triggering instants. The main purpose of the addressed problem is to design the adaptive gain parameters of the novel extended state observer such that the estimation error dynamics is mean‐square exponentially bounded stable. Sufficient conditions are first established to ensure the existence of the desired adaptive extended state observer. In addition, it is proven that the Zeno behavior can be avoided when the dynamic ETM is utilized. Finally, a simulation example is provided to verify the effectiveness of the proposed design method.
Logic‐based switching finite‐time stabilization with applications in mechatronic systems
Authors: Zheng Shiqi , Wang Shihao , Chen Xiang , Xie Yuanlong , Shi Peng , Jiang Zhouxiang 
Published: December 2022

SummaryThis paper investigates the finite time stabilization problem for a class of nonlinear systems with unknown control directions and unstructured uncertainties. The unstructured uncertainties indicate that not only the parameters but also the structure of the system nonlinearities are uncertain. A new adaptive control method is proposed for the considered system. Logic‐based switching rule is utilized to tune the controller parameters online to stabilize the system in finite time. Different from the existing adaptive controllers for structured/parametric uncertainties, a new switching barrier Lyapunov method and supervisory functions are introduced to overcome the obstacles caused by unstructured uncertainties and unknown control directions. Both simulations and experiments are conducted on mechatronic systems to verify the effectiveness of the proposed methods.
SARS‐CoV‐2 Virus Detection Via a Polymeric Nanochannel‐Based Electrochemical Biosensor
Authors: Shiohara Amane , Wojnilowicz Marcin , Lyu Quanxia , Pei Yi , Easton Christopher D. , Chen Yu , White Jacinta F , McAuley Alexander , Prieto‐Simon Beatriz , Thissen Helmut , Voelcker Nicolas H 
Published: December 2022

AbstractThe development of simple, cost‐effective, rapid, and quantitative diagnostic tools remains critical to monitor infectious COVID‐19 disease. Although numerous diagnostic platforms, including rapid antigen tests, are developed and used, they suffer from limited accuracy, especially when tested with asymptomatic patients. Here, a unique approach to fabricate a nanochannel‐based electrochemical biosensor that can detect the entire virion instead of virus fragments, is demonstrated. The sensing platform has uniform nanoscale channels created by the convective assembly of polystyrene (PS) beads on gold electrodes. The PS beads are then functionalized with bioreceptors while the gold surface is endowed with anti‐fouling properties. When added to the biosensor, SARS‐CoV‐2 virus particles block the nanochannels by specific binding to the bioreceptors. The nanochannel blockage hinders the diffusion of a redox probe; and thus, allows quantification of the viral load by measuring the changes in the oxidation current before and after virus incubation. The biosensor shows a low limit of detection of ≈1.0 viral particle mL−1 with a wide detection range up to 108 particles mL−1 in cell culture media. Moreover, the biosensor is able to differentiate saliva samples with SARS‐CoV‐2 from those without, demonstrating the potential of this technology for translation into a point‐of‐care biosensor product.