bluuebunny/crossref_metadata_2025_split huggingface dataset:
Enhanced and Rapid Electro‐oxidation Degradation for Highly Concentrated Tetracycline by Mn Nanoparticle‐Doped NiAl‐LDHs
Authors: He Chifei , Li Haoran , Meng Weixu , Li Jing , Liu Wenjuan , Xiao Ning 
Published: March 2023

AbstractAntibiotic pollution has posed a serious threat to water environments. To cope with this issue, layered double hydroxides (LDHs) have been employed and exhibited effective removability. However, most of LDHs adsorb antibiotics for water decontamination, which is difficult to degrade the pollutants and usually takes a quite long treatment time. In this work, Mn doped NiAl‐LDHs electrode was synthesized for antibiotic degradation with target pollutant tetracycline (TC). The removal efficiency of TC was then investigated by conducting electro‐oxidation with Mn doped NiAl‐LDHs anode. Specifically, some Mn doped NiAl‐LDHs nanoflowers were shed from NF substrate during the oxidation process, thus forming a 3D‐like electrode device and facilitating TC removal. Meanwhile, due to particle electrode‐like architecture and electro‐oxidation of the composite electrode, high concentration of TC can be removed quickly in a short time, and the removal efficiency can reach 92.6% in 5 min.
A linguistic approach to urban color design and research—Exploring Jianming Song's methodologies
Authors: Xu Jie 
Published: March 2023

AbstractThe development of urban color planning and design has evolved alongside massive urbanization in China over the past two decades. In this field, Jianming Song has become one of the most profound practitioners, having carried out hundreds of urban color projects since the turn of the millennium. This study aims to answer the question: What can be learned from these projects to provide useful knowledge for future urban development? In response to the complexity of the urban context and the relationship between urban space and colorscape, Song utilizes linguistics‐based design methodologies as an effective way to solve practical problems. This article articulates the application of linguistics in urban typology, color narratives, and the development of color themes. The study also identifies an integrated methodological framework that include the perspectives of ontology, epistemology and methodology. The research findings point to a renaissance of traditional culture implemented in contemporary design practice. Urban color planning and design is the product of local, social, economic, and political relations. The research encourages local knowledge combined with intellectual analysis to contribute to the design revolution in urban development.
Analysis of time‐domain response of series‐parallel fractional‐order RCα and RLβ circuits based on Cole distribution function
Authors: Zhang Fu , Chen Pingbo , Lin Haijun , Bai Wenqi , Wu Shuangshuang , Li Jianmin , Yang Yuxiang 
Published: March 2023

SummaryFractional‐order circuits, which contain fractance devices (
and
) described by fractional‐order differential equations, are widely used in interdisciplinary engineering research. The application of time‐domain response (TDR) measurement increases rapidly in analyzing the characteristics of fractance devices and fractional‐order circuits. However, the previous methods are mainly focused on deducing TDR expressions of a single fractance device or series fractional‐order circuits in some specific input signals, while overlook the TDR analysis of series‐parallel fractional‐order circuits (SPFOC) that are commonly applied in modeling electrochemical impedance or electrical bioimpedance. This paper proposes a novel method to derive TDR expressions of SPFOC in an arbitrary periodic signal. First, a discretization method to represent the SPFOC as the sum of first‐order circuits is proposed in Cole distribution function, which could approximate the transfer function of fractional‐order impedance/admittance. Second, the TDR expression of SPFOC in sinusoidal input signals is deduced in inverse Laplace transform, which can be applied as the components of a general TDR expression of SPFOC in an arbitrary periodic signal based on the Fourier series theory. Finally, both TDR simulations and experiments on Cole impedance model (a basic SPFOC) are conducted to verify the proposed method, which shows excellent agreement compared to theorical analysis. This paper presents a TDR solution to SPFOC that consist of a
or
element. In future, the theoretical and application extension of the proposed TDR analysis method is still necessary on analysis of more general fractional‐order circuits.
Liverworts show a globally consistent mid‐elevation richness peak
Authors: Maul Karola , Wei Yu‐Mei , Iskandar Eka Aditya Putri , Chantanaorrapint Sahut , Ho Boon‐Chuan , Quandt Dietmar , Kessler Michael 
Published: March 2023

AbstractThe study of elevational gradients allows to draw conclusions on the factors and mechanisms determining patterns in species richness distribution. Several earlier studies investigated liverwort diversity on single or few elevational transects. However, a comprehensive survey of the elevational distribution patterns of liverwort richness and their underlying factors is lacking so far. This study's purpose was to fill this gap by compiling an extensive data set of liverwort elevational patterns encompassing a broad diversity of mountains and mountain ranges around the world. Using polynomial regression analyses, we found a prevalence of hump‐shaped richness patterns (19 of 25 gradients), where liverwort species richness peaked at mid‐elevation and decreased towards both ends of the gradient. Against our expectation and unlike in other plant groups, in liverworts, this pattern also applies to elevational gradients at mid‐latitudes in temperate climates. Indeed, relative elevation, calculated as the percentage of the elevational range potentially inhabited by liverworts, was the most powerful predictor for the distribution of liverwort species richness. We conclude from these results that the admixture of low‐ and high‐elevation liverwort floras, in combination with steep ecological gradients, leads to a mid‐elevation floristic turnover shaping elevational patterns of liverwort diversity. Our analyses further detected significant effects of climatic variables (temperature of the warmest month, potential evapotranspiration, and precipitation of the warmest month) in explaining elevational liverwort richness patterns. This indicates that montane liverwort diversity is restricted by high temperatures and subsequent low water availability especially towards lower elevations, which presumably will lead to serious effects by temperature shifts associated with global warming.
Biosorption behavior of acid orange 7 dye onto Cucumis sativus peel biochar and its effect on growth of Triticum aestivum
Authors: Kapoor Riti Thapar , Sivamani Selvaraju 
Published: March 2023

AbstractThe application of cucumber peel biochar (CPB) for sorption of acid orange 7 (AO7) dye from aqueous solution has been assessed in this investigation. The adsorption process was systematically studied under different conditions including pH, exposure period, dye concentration, sorbent amount, temperature, and particle size of CPB. Maximum 96% removal of AO7 dye was observed at pH 2 by CPB with 80 mg/L AO7 dye concentration. Langmuir model appears to be the better one for experimental results description with 11.21 mg/g sorption ability. Kinetic results were well explained by pseudo‐second order model. The negative value of ΔH0 (−37.296 kJ mol−1) reflected exothermic behavior of process. CPB showed >38% adsorption ability of AO7 dye up to 5 cycles. Phytotoxic investigation showed that CPB treated AO7 dye solution enhanced growth and biochemical parameters of Triticum aestivum seeds. The seedling length and vigor index of wheat seeds showed following order: Control > AO7 dye solution treated with CPB treated > AO7 dye solution. Hence, CPB, profusely available as an agricultural waste can be applied as a cost‐effective and ecofriendly sorbent for making dye containing wastewater reusable.
A fused CNN‐LSTM model using FFT with application to real‐time power quality disturbances recognition
Authors: Cen Senfeng , Kim Dong Ok , Lim Chang Gyoon 
Published: March 2023

AbstractWith the progress of renewable energy generation and energy storage technologies, more and more renewable sources and devices are integrated into the power system. Due to the complexity of the power system, single and multiple power quality disturbances (PQDs) occur more frequently. Hence, real‐time detection of PQDs is the primary issue to mitigate the risk of distortions. This study presents the real‐time PQDs classification using fused convolutional neural networks (CNN) combined with long short‐term memory (fused CNN‐LSTM) architecture based on time and frequency domain features. The frequency‐domain features were obtained from time‐series data using fast Fourier transform. The original time‐domain and frequency‐domain features are extracted by respective CNN‐LSTM structures. The extracted time and frequency domain features are concatenated to classify the PQD through fully connected layers. Our proposed method was trained and tested using 16 types of synthetic noise PQDs data generated by mathematical models, in accordance with the standard IEEE‐1159. Moreover, to further verify the performance of our approach, a simulation distributed power system is carried out to detect various PQDs. We compared three advanced neural network approaches: Deep CNN, CNN‐LSTM, and multifusion CNN (MFCNN). The fused CNN‐LSTM model takes only 0.64 ms to classify each PQDs signal and achieves an accuracy of 98.95% and 98.89% in synthetic data and simulated power systems which indicates our proposed method outperformed compared methods.
The association of hearing loss with depressive symptoms and cognitive function among older people: Results from the Brazilian Longitudinal Study of Aging
Authors: Barbosa Matheus Ghossain , Oliveira Déborah , Martinelli Maria Cecília , Keinert Ana Ágata Mezzomo , Lima‐Costa Maria Fernanda , Suemoto Claudia Kimie , Ferri Cleusa P. 
Published: March 2023

AbstractObjectivesHearing loss, depression, and cognitive decline are common among older people. We investigated the association of hearing loss with depressive symptoms and cognitive function in a nationally representative sample of people aged 50+ in Brazil.MethodsData from the Brazilian Longitudinal Study of Aging (ELSI‐Brazil) included information on self‐reported hearing loss, hearing aid use (effective or not effective), depressive symptoms (CES‐D‐8), and a global cognitive score (composed of immediate and late recall, verbal fluency, orientation and prospective memory) in a sample of 9412 individuals. Multiple linear regression was used to estimate the association of hearing loss and hearing aid use with both depressive symptoms and cognitive performance. The analyses were conducted with 7837 participants with complete data, and then repeated with data from the whole sample after multiple imputation.ResultsCompared to those without hearing loss, those with hearing loss were more likely to have a higher number of depressive symptoms (β: 0.53 (0.40–0.67) p < 0.001) but not worse cognitive performance (β: −0.01 (−0.03 to 0.19) p = 0.631). Among those with hearing loss, the use of hearing aid was neither associated with cognitive performance (β: −0.08 (−0.19 to 0.03) p = 0.169) or depressive symptoms (β: −0.42 (−0.98 to 0.14) p = 0.143); its effective use was associated with less depressive symptoms (β: −0.62 (−1.23 to −0.01) p = 0.045) but not worse cognitive performance (β: −0.15 (−0.030 to 0.03) p = 0.057). Sensitivity analyses revealed that hearing loss is associated with a worse performance in two non‐amnestic cognitive domains.ConclusionsHearing loss may negatively affect specific cognitive domains and depressive symptoms among older people, and the use of a hearing aid may mitigate the association with depressive symptoms.
Modelling past and future land‐use changes from mining, agriculture, industry and biodiversity in a rapidly developing Southeast Asian region
Authors: Nasir Sharun Beream , Ang Michelle Li Ern , Nath Tapan Kumar , Owen John , Tritto Angela , Lechner Alex M. 
Published: March 2023

AbstractRapidly developing regions in Southeast Asia, such as Kuantan, Malaysia, require robust spatial analysis to understand changing landscape patterns and their socioenvironmental impacts to guide sustainable development and conservation planning. This study aims to characterise and evaluate the historic and future projections of land‐use and land‐cover (LULC) change patterns to understand the dynamics of the regional development process and identify potential future land‐use conflicts. We first map coarse‐scale land‐cover classes using Landsat 5 TM and Landsat 8 OLI data and a Random Forest classifier in the Google Earth Engine platform, and then use auxiliary reference data to manually construct fine‐scale LULC for 3 years: 2010, 2015 and 2020. Subsequently, we modelled future LULC change patterns in 2030 using Land Change Modeller, which applies a multilayer perceptron neural network and Markov chain analysis. The study showed that the region's land cover in the last 10 years has been largely altered by human intervention, driven by an increase in oil palm plantations, followed by mining, residential and industrial site expansion, with a consequent decline in forest and vegetation cover. The 2030 land‐use projections revealed a continuation of these land‐use development patterns. The modelling showed that industry, mining and residential LULC are clustered and growing closer in proximity while expanding extensively, likely causing future land‐use conflict and lead to further environmental degradation. Furthermore, our analysis showed extensive decline in forest cover within reserves. Our modelling demonstrated that natural resource management needs to take an integrated approach as the drivers of land‐use changes are complex, competing and dynamic.
Social interaction can function as a reinforcer for dogs: Effects of stimulus duration and session parameters
Authors: Feuerbacher Erica N. , Togher Caitlin , Friedel Jonathan E. 
Published: March 2023

AbstractPrior research has produced mixed results on whether human social interaction can function as a reinforcer for dog behavior. However, that research used either short durations of social interaction or rapid, repeated trials such that satiation could have been a factor. We investigated whether two durations of social interaction (30 s or 4 s petting plus vocal praise) would maintain more responding than extinction, than each other, or than food. We limited each session to 10 trials and temporally spaced sessions within and across days. Both durations of social interaction produced more responding than extinction, but there was no difference in responding between the two social interaction durations. When we compared responding in food sessions to 30‐s and 4‐s social interaction sessions, we could not determine differences in responses emitted per session for two dogs due to ceiling effects, but the third dog doubled her responding when food was provided. Additionally, latencies in food sessions for all dogs were significantly lower than expected from a random sampling of latencies. Our results suggest both durations of social interaction can function as a reinforcer, especially when delivered sporadically, but they are still not as effective as food as a reinforcer for most dogs.
Stronger together: Supporting Generation Z college students through relational‐cultural therapy
Authors: Sweet Taylor , Avadhanam Ramya 
Published: March 2023

AbstractGeneration Z college students present with specific characteristics, learning styles, and interpersonal needs. Since March of 2020, these students have endured sociocultural stressors of COVID‐19, publicized racial injustices, and a contentious presidential election. This article examines this and how college counselors’ use of relational‐cultural therapy can lead to collective healing.
The impact of incumbents' operational and governance responses on the sharing economy: An asset orchestration perspective
Authors: Zhang Chen , Yoo Sungjin , Li He , Kettinger William J. 
Published: March 2023

AbstractLeveraging an asset‐sharing operating model, sharing economy platforms have disrupted incumbent firms in many industries. This research draws on the asset orchestration perspective to examine incumbents' asset orchestration (i.e., operational and governance actions) as they respond to threats from the sharing economy and the effectiveness of these actions in curbing a sharing economy firm's performance. We also analyze how the sharing economy firm's competitive moves counteract incumbents' asset orchestration responses. Our longitudinal empirical analysis in the accommodation industry demonstrates that the growth of sharing economy increases incumbent hotels' asset‐based operational actions, which reduce the sharing economy's performance. Although incumbents' asset governance actions increase as the local sharing economy grows, they do not seem to hinder sharing economy's performance. This research highlights the role of asset orchestration in the competition between incumbents and the sharing economy and contributes to the operations and sharing economy literature.
Development and validation of a predictive model for diarrhea in ICU patients with enteral nutrition
Authors: Chen Qiuchan , Chen Yuzhen , Wang Haiqin , Huang Jing , Ou Xiuli , Hu Jieshan , Yao Xiaohong , Guan Lijun 
Published: March 2023

AbstractBackgroundThe aim of this study was to build and validate a risk prediction model for diarrhea in patients in the intensive care unit (ICU) receiving enteral nutrition (EN) by identifying risk factors for diarrhea in these patients.MethodsThe risk factors for diarrhea were analyzed to build a prediction model for EN diarrhea in patients in the ICU based on the data collected from 302 patients receiving EN in the ICU. Subsequently, the model was validated by the area under the curve.ResultsIn this study, the collected data were divided into two groups: a derivation cohort and a validation cohort. The results showed that 54.03% (114) of patients had diarrhea in the derivation cohort and 56.04% (51) of patients had diarrhea in the validation cohort. Moreover, days of EN, high urea nitrogen levels, probiotics, respiratory system disease, and daily doses of nutrient solution were included as predictive factors for diarrhea in patients receiving EN in the ICU. The predictive power of the model was 0.81 (95% CI, 0.752~0.868) in the derivation cohort and 0.736 (95% CI, 0.634~0.837) in the validation cohort.ConclusionIn accordance with the predictive factors, the model, characterized by excellent discrimination and high accuracy, can be used to clinically identify patients in the ICU with a high risk of EN diarrhea.
Trends in the Synthesis of Polymer Nano‐ and Microscale Materials for Bio‐Related Applications
Authors: Coats John Peter , Cochereau Rémy , Dinu Ionel Adrian , Messmer Daniel , Sciortino Flavien , Palivan Cornelia. G. 
Published: March 2023

AbstractPolymeric nano‐ and microscale materials bear significant potential in manifold applications related to biomedicine. This is owed not only to the large chemical diversity of the constituent polymers, but also to the various morphologies these materials can achieve, ranging from simple particles to intricate self‐assembled structures. Modern synthetic polymer chemistry permits the tuning of many physicochemical parameters affecting the behavior of polymeric nano‐ and microscale materials in the biological context. In this Perspective, an overview of the synthetic principles underlying the modern preparation of these materials is provided, aiming to demonstrate how advances in and ingenious implementations of polymer chemistry fuel a range of applications, both present and prospective.
High prevalence of blaCTX‐M‐15 type extended‐spectrum beta‐lactamases in Gambian hooded vultures (Necrosyrtes monachus): A threatened species with substantial human interaction
Authors: Woksepp Hanna , Camara Fagimba , Bonnedahl Jonas 
Published: March 2023

AbstractOne hundred fecal samples from hooded vultures in the Gambia (Banjul area) were investigated for the presence of bacteria with extended‐spectrum cephalosporin‐ (ESBL/AmpC), carbapenemases, and colistin resistance. No Enterobacteriales carrying carbapenemases or resistance against colistin were detected. Fifty‐four ESBL‐producing Escherichia coli and five ESBL‐producing Klebsiella pneumoniae isolates were identified in 52 of the samples, of which 52 E. coli and 4 K. pneumoniae yielded passed sequencing results. Fifty of the E. coli had ESBL phenotype and genotype harboring blaCTX‐M genes, of which 88.5% (n = 46) were the blaCTX‐M‐15 gene, commonly found on the African continent. Furthermore, the genetic context around blaCTX‐M‐15 was similar between isolates, being colocalized with ISKpn19. In contrast, cgMLST analysis of the E. coli harboring ESBL genes revealed a genetic distribution over a large fraction of the currently known existing E. coli populations in the Gambia. Hooded vultures in the Gambia thus have a high ESBL E. coli‐prevalence (>50%) with low diversity regarding key resistance genes. Furthermore, given the urban presence and frequent interactions between hooded vultures and humans, data from this study implies hooded vultures as potential vectors contributing to the further dissemination of antibiotic‐resistance genes.
Long‐Lasting Impact of the COVID‐19 Pandemic on Patients with Parkinson's Disease and Their Relatives
Authors: Wolff Andreas Wolfgang , Haller Bernhard , Demleitner Antonia Franziska , Pürner Dominik , Niederschweiberer Johanna , Cordts Isabell , Westenberg Erica , Lingor Paul 
Published: March 2023

AbstractBackgroundThe coronavirus disease 2019 (COVID‐19) pandemic has heavily impacted medical care of patients with Parkinson's disease (PwP).ObjectiveTo assess the longitudinal impact of the COVID‐19 pandemic on PwP and their relatives in Germany.MethodsTwo online, nationwide, cross‐sectional surveys were conducted from December 2020 to March 2021 and from July to September 2021.ResultsA total of 342 PwP and 113 relatives participated. Despite partial resumption of social and group activities, healthcare was continuously disrupted during times of loosened restrictions. Respondents’ willingness to use telehealth infrastructure increased, yet the availability remained low. PwP reported worsened symptoms and further deterioration during the pandemic, resulting in an increase in new symptoms and relatives’ burden. We identified patients at particular risk: young patients and those with long disease duration.ConclusionsThe COVID‐19 pandemic persistently disrupts the care and quality of life of PwP. Although willingness to use telemedicine services has increased, its availability needs to be improved.