bluuebunny/crossref_metadata_2025_split huggingface dataset:
Molecular Characterisation and Plasmid Profiling of Hydrocarbon Utilizing Bacteria Isolates from Wetlands in Rivers State, Southern Nigeria
Authors: Ogbonna D. N. , Chibuike P. M. , Williams J. O. 
Published: November 2021

Wetlands can intercept runoff from surfaces prior to reaching open water and remove pollutants through physical, chemical, and biological processes thereby protecting and preserving the environment. Because of unsustainable oil exploration activities, most wetlands in Rivers State, Southern Nigeria have suffered severe petroleum-damaged ecosystems. This research was carried out to characterize and identify the hydrocarbon utilizing bacteria associated with crude oil polluted wetlands and to screen for the presence of plasmids that could confer resistance to antibiotics using both cultural and molecular methods. Soil samples were collected from three different wetlands across the state with hand auger at two depths of 0-15cm and 15-30cm twice monthly for three months. The presence of microbial activity was determined by the enumeration and isolation of total heterotrophic and hydrocarbon utilizing bacteria. Eight (8) most occuring hydrocarbon utilizing bacterial isolates were isolated and identified culturally and phenotypically from the 54 wetland soil samples. These bacteria isolates were confirmed to be Bacillus flexus, Bacillus subtilis, Lysinibacillus macroides, Staphylococcus aureus, Chryseobacterium aquifrigidense, Pseudomonas aeruginosa and Salmonella enterica molecularly via sequencing of the 16S rRNA gene. The most common bacteria isolated were Bacillus species, followed by Pseudomonas at a dilution of 106. Seven (7) out of the eight (8) isolates (except Salmoella enterica) showed the presence of the 25kb plasmids at various intensities.
Multicenter Study of Utility and Acceptability of Depression and Anxiety Screening in Adolescents and Young Adults With Childhood‐Onset Systemic Lupus
Authors: Rubinstein Tamar B. , Dionizovik‐Dimanovski Marija , Davis Alaina M. , Smith Chelsey , Faust Lauren , Rutstein Beth , Mitchell Manda , Jones Jordan T. , Harris Julia G. , Rodriguez Martha , Tesher Melissa , Onel Karen , Gabbay Vilma , Stein Ruth E. K. , von Scheven Emily , Knight Andrea M. ,   for the CARRA Mental Health Workgroup
Published: November 2021

ObjectiveTo determine the utility and acceptability for depression and anxiety screening of adolescents and young adults (AYA) with childhood‐onset systemic lupus erythematosus (cSLE) in the pediatric rheumatology setting.MethodsAYA with cSLE, ages 12–21 years, from 8 collaborating sites, were consecutively screened for depression and anxiety with the Patient Health Questionnaire‐9 (PHQ‐9) and Generalized Anxiety Disorder 7‐item scale (GAD‐7). Demographic and disease characteristics were collected, as well as patient‐reported outcome measures using the Patient Reported Outcomes Measurement Information System (PROMIS) pediatric profile‐25. Acceptability of screening was assessed with postscreening surveys completed by AYA and parents. Chi‐square and Wilcoxon rank sum tests examined the relationship between patient characteristics and history of previous screening. Spearman correlations examined relationships between screening scores, PROMIS domains, and other disease factors.ResultsAmong 106 AYA screened, 64 (60%) had been previously screened, 25 (24%) by general pediatricians. Thirty‐two (30%) AYA screened positive, including 24% for depression, 17% for anxiety, and 14% for suicidal ideation. Depression and anxiety symptom severity were highly correlated with increased PROMIS domain scores for fatigue and pain interference and moderately correlated with increased pain severity, decreased mobility, and decreased peer relationships. Eighty‐six percent of AYA and 95% of parents expressed comfort with screening in the pediatric rheumatology setting.ConclusionDepression, anxiety, and suicidal ideation are common among AYA with cSLE, and symptoms are correlated with important patient‐reported outcomes. Mental health screening in the pediatric rheumatology setting was highly acceptable among AYA with cSLE and their parents.
CoS2 Nanoparticles‐Decorated MoS2/rGO Nanosheets as An Efficient Electrocatalyst for Ultrafast Hydrogen Evolution
Authors: Khan Habib , Shah Sayyar Ali , Rehman Wasif ur , Chen Fei 
Published: November 2021

AbstractWater electro‐reduction for sustainable hydrogen production is a critical factor of water‐splitting devices. However, designing and engineering cheap and highly‐efficient alternative electrocatalysts to replace currently used platinum‐based electrocatalysts is still prerequisite for commercialization of hydrogen production. Herein, a robust and highly active catalyst of CoS2 nanoparticle‐decorated MoS2/reduced graphene oxide (CoS2@MoS2/rGO−w) nanosheets is fabricated by hydrothermal reaction for hydrogen evolution reaction (HER). The optimized CoS2@MoS2/rGO−0.05 nanocomposite exhibits outstanding HER performance with a low onset overpotential of 15 mV, overpotentials of 66 mV at current density 10 mA cm−2, a small Tafel slope of 33.9 mV dec−1, and high electrochemical durability in 0.5 m H2SO4 solution. The high HER of CoS2@MoS2/rGO−0.05 can be mostly ascribed to synergistic effect between CoS2 and MoS2. This work offers a novel strategy for design and engineering efficient electrocatalysts for the HER based on earth‐abundant materials.
Gamma‐Ray Radiation Stability of Mixed‐Cation Lead Mixed‐Halide Perovskite Single Crystals
Authors: Gao Lei , Tao Kezheng , Sun Jia‐Lin , Yan Qingfeng 
Published: November 2021

AbstractOrganic–inorganic hybrid lead halide perovskites have shown extraordinary potentials in space photovoltaic technology and high‐energy‐rays detection but their practical application still faces the bottleneck of radiation‐induced instability. Specifically, gamma‐ray radiation hardness is a main concern due to the highest penetrability and difficulty in stopping of gamma‐photons. However, the gamma‐ray radiation stability of perovskites remains controversial. Herein, stability of mixed‐cation lead mixed‐halide FA0.95Cs0.05PbI2.7Br0.3 single crystals under 60Co gamma‐ray radiation of different doses is investigated by tracking the evolution of structural, optical, and photophysical properties. Importantly, they show excellent stability to humidity and heat, eliminating the potential influence of moisture and temperature upon evaluating their gamma‐ray radiation stability. FA0.95Cs0.05PbI2.7Br0.3 single crystals are found stable with an accumulated dose lower than 200 krad and the performance of the irradiated perovskite photodetector could almost completely self‐heal after aging in dark. Perovskite decomposition occurs when the radiation dose is increased to 400 krad or even higher. These phenomena are explained by the synergistic effect between defects generation and lattice reparation caused by ion redistribution during gamma‐ray radiation. These results provide guidance for their practical application in space photovoltaic technology and gamma‐ray detectors.
Identification of growth‐related indicators affecting the appearance and protein content of rice grains
Authors: Nakano Hiroshi , Tanaka Ryo , Guan Senlin , Okami Midori , Wada Hiroshi , Hakata Makoto , Ohdan Hideki 
Published: November 2021

AbstractTo facilitate the stable production of rice (Oryza sativa L.) in a changing climate, it is imperative to establish optimal N application rate via growth diagnosis. In this study, field experiments were conducted to identify useful indicators of white‐back grains and protein content of rice. During the reproductive stages in 2018 and 2019, we applied N at different rates and recorded the soil and plant analyzer development (SPAD) readings and normalized difference vegetation index (NDVI) measurements. The white‐back grain percentage and grain protein content were more strongly correlated with SPAD readings and NDVI during the reproductive stage when the 2018 and 2019 data were combined than with the separate data for each year. In the combined 2018 and 2019 data, SPAD readings were the most dominant factor affecting white‐back grain percentage at 4–2 wk before heading, whereas NDVI was the most dominant factor at 1 wk before heading. Similarly, in the combined 2018 and 2019 data, SPAD readings were the most dominant factors for grain protein content on all measurement days, and NDVI was one of the dominant factors at 1 wk before heading. These results suggest that SPAD readings at 4–2 wk before heading and SPAD readings and NDVI at 1 wk before heading are useful indicators for determining the optimal N application rates during the reproductive stage to reduce the occurrence of white‐back grains and to regulate the grain protein content.
Maximal Steered Coherence and Its Conversion to Entanglement in Multiple Bosonic Reservoirs
Authors: Xu Xiao‐Xiao , Hu Ming‐Liang 
Published: November 2021

AbstractThe remote control of coherence is a crucial step for its application in quantum computation. The maximal steered coherence (MSC) and its conversion to entanglement in multiple bosonic reservoirs are investigated. It is shown that the MSC decays with time in the Markovian regime and behaves as damped oscillations in the non‐Markovian regime. The MSC can also be connected directly to the strength of non‐Markovianity, through which it is shown that it can be noticeably enhanced by taking full advantage of the non‐Markovian effects. Besides, the MSC can be converted completely to entanglement via optimal incoherent operation applied to the steered qubit and an incoherent ancilla which is immune to decoherence, and the generated entanglement is stronger than the shared entanglement in prior. These findings suggest a potential way for remotely generating and manipulating coherence and entanglement in noisy environments.
Advances in the Sensing and Treatment of Wound Biofilms
Authors: Darvishi Sorour , Tavakoli Shima , Kharaziha Mahshid , Girault Hubert H. , Kaminski Clemens F. , Mela Ioanna 
Published: November 2021

AbstractWound biofilms represent a particularly challenging problem in modern medicine. They are increasingly antibiotic resistant and can prevent the healing of chronic wounds. However, current treatment and diagnostic options are hampered by the complexity of the biofilm environment. In this review, we present new chemical avenues in biofilm sensors and new materials to treat wound biofilms, offering promise for better detection, chemical specificity, and biocompatibility. We briefly discuss existing methods for biofilm detection and focus on novel, sensor‐based approaches that show promise for early, accurate detection of biofilm formation on wound sites and that can be translated to point‐of‐care settings. We then discuss technologies inspired by new materials for efficient biofilm eradication. We focus on ultrasound‐induced microbubbles and nanomaterials that can both penetrate the biofilm and simultaneously carry active antimicrobials and discuss the benefits of those approaches in comparison to conventional methods.
In Situ Raman Probing of Hot‐Electron Transfer at Gold–Graphene Interfaces with Atomic Layer Accuracy
Authors: Yang Jing‐Liang , Wang Hong‐Jia , Zhu Zhenwei , Yue Mu‐Fei , Yang Wei‐Min , Zhang Xia‐Guang , Ruan Xiangyu , Guan Zhiqiang , Yang Zhi‐Lin , Cai Weiwei , Wu Yuan‐Fei , Fan Feng‐Ru , Dong Jin‐Chao , Zhang Hua , Xu Hongxing , Tian Zhong‐Qun , Li Jian‐Feng 
Published: November 2021

AbstractPlasmonic metals under photoexcitation can generate energetic hot electrons to directly induce chemical reactions. However, the capability and fundamental insights of the transportation of these hot electrons at plasmonic metal‐2D material interfaces remain unclear. Herein, hot‐electron transfer at Au‐graphene interfaces has been in situ studied using surface‐enhanced Raman spectroscopy (SERS) with atomic layer accuracy. Combining in situ SERS studies with density functional theory calculations, it is proved that hot electrons can be injected from plasmonic Au nanoparticles to graphene and directly penetrate graphene to trigger photocatalytic reactions. With increasing graphene layers, the transportation of hot electrons decays rapidly and would be completely blocked after five layers of graphene. Moreover, the transfer of hot electrons can be modulated by applying an external electric field, and the hot‐electron transfer efficiency under electrochemical conditions is improved by over three times in the presence of a monolayer of graphene.
Atomically Dispersed Selenium Sites on Nitrogen‐Doped Carbon for Efficient Electrocatalytic Oxygen Reduction
Authors: Hu Hui , Wang Jiajun , Cui Bingfeng , Zheng Xuerong , Lin Jianguo , Deng Yida , Han Xiaopeng 
Published: November 2021

AbstractOwing to their unique electronic structure and maximum atom utilization efficiency, single‐atom catalysts have received widespread attention and exhibited efficient activity. Herein, we report the preparation of non‐metal Se single atoms embedded in nitrogen‐doped carbon (NC) via a high‐temperature reduction strategy for electrocatalytic oxygen reduction reaction (ORR). Selenium dioxide is reduced to selenium by NC at high temperature and partially anchored to form C−Se−C bond. Impressively, the obtained single‐atom catalyst exhibits outstanding ORR activity and stability that even surpasses state‐of‐the‐art noble metal catalysts and many previously reported nanocatalysts. Experimental and theoretical calculations reveal that the Se single atoms can serve as the ORR active sites and contribute to lowering the reaction barrier. Our discoveries demonstrate the promising prospects for utilizing metal‐free single‐atom‐based materials for efficient electrocatalysis.
Enhancing critical features of poly(amino acid) based meshes
Authors: Voniatis Constantinos , Gottscháll Ramóna , Barczikai Dóra , Szabó György , Jedlovszky‐Hajdu Angela 
Published: November 2021

AbstractThe following manuscript presents a comprehensive investigation regarding the influence of electrospinning parameters on fiber quality and mechanical properties of nanofibrous poly(amino acid) meshes. At first, we examine parameters including: solvent options, polymer concentrations, collector speed and distance, voltage, needle sizes and flow rates to prepare fibrous scaffolds based on polysuccinimide. The main objective was to attempt and decrease the fiber diameter as much as possible while not reducing the fiber quality. After that mechanical properties of the meshes were investigated, we demonstrate two possible methods to reinforce them: mechanically induced alignment of the fibers and multilayer compression. Characterization methods include a solubility study, viscosity and conductivity measurements, ATR‐FTIR spectroscopy, scanning electron microscopy, and mechanical uniaxial test. Fiber size was successfully reduced from 615 to 280 nm without any quality aberrations. Mechanical performance not only improved almost three‐fold, but was also enhanced in two directions due to the multilayer composition. With these optimizations, the PSI mesh now possess favorable features for biomedical application according to the relevant literature.
Double‐layer modified silica with potential reinforcement for solution polymerized styrene‐butadiene rubber/butadiene rubber composite
Authors: Tian Qingfeng , Tang Yuan , Lv Xiaohui , Niu Liyong , Wang Yanpeng , Ding Tao , Li Xiaohong , Zhang Zhijun 
Published: November 2021

AbstractSilica was dual layer surface‐capped by hexamethyldisilamide (HMDS) and epoxy‐terminated ethylene‐vinyl acetate copolymer (EVA) via an in situ synthesis route to acquire greatly improved compatibility and interfacial interactions with solution polymerized styrene‐butadiene rubber/butadiene rubber (SSBR/BR). The as‐prepared HMDS/EVA‐SiO2 was used to reinforce SSBR/BR matrix so as to improve the wet skid resistance and wear resistance, and reduce the rolling resistance of the rubber–matrix composite. Besides, the as‐fabricated HMDS/EVA‐SiO2 was characterized by Fourier transform infrared spectrometry and transmission electron microscopy; and the tensile strength and tear resistance of the HMDS/EVA–SiO2/SSBR/BR composites were measured with a universal testing machine. Moreover, an Akron abrasion test was performed to determine the abrasion volume of SiO2–SSBR/BR composites; and a rotary rheometer was run to evaluate the dynamic mechanical properties of the vulcanized rubber‐matrix composites. Findings indicate that the EVA resin latex synthesized by emulsion polymerization can effectively improve the compatibility and forms a permeability layer between the rubber and nano‐silica of the composites. The as‐fabricated HMDS/EVA‐SiO2‐SSBR/BR composite exhibits greatly improved wear resistance and wet skid resistance as well as significantly reduced rolling resistance, showing potential as green tire tread material with increased security and service life as well as reduced energy consumption.
Social perception of brands: Warmth and competence define images of both brands and social groups
Authors: Kervyn Nicolas , Fiske Susan T. , Malone Chris 
Published: November 2021

AbstractPeople form impressions about brands as they do about social groups. The Brands as Intentional Agents Framework (BIAF) a decade ago derived from the Stereotype Content Model (SCM) two dimensions of consumers' brand perception: warmth (worthy intentions) and competence (ability). The BIAF dimensions and their predictive validity have replicated the general primacy of warmth (intentions) and developed the congruence principle of fit to context. BIAF domains include various brands, product design, and countries as origins of products and as travel destinations. Brand anthropomorphism plays a role in perceiving brands' morality, personality, and humanity. Consumer–brand relations follow from anthropomorphism: perceived brand‐self congruence, brand trust, and brand love. Corporate social (ir)responsibility and human relations, especially warm, worthy intent, interplay with BIAF dimensions, as do service marketing, service recovery, and digital marketing. Case studies describe customer loyalty, especially to warm brands, corresponds to profits, charitable donations, and healthcare usage. As the SCM and BIAF evolve, research potential regards the dimensions and beyond. BIAF has stood the tests of time, targets (brands, products, and services), and alternative theory (brand personality, brand relationships), all being compatible. Understanding how people view corporations as analogous to social groups advances theory and practice in consumer psychology.
Criteria‐Based Content Analysis in Child Sexual Abuse Cases: A Cross‐Cultural Perspective
Authors: Cacuci Simina‐Alexandra , Bull Ray , Huang Ching‐Yu , Visu‐Petra Laura 
Published: November 2021

Statement validity assessment (SVA) was created to evaluate children's accounts in alleged sexual abuse cases and it is the most popular instrument currently used to assess the veracity of their verbal declarations. The core of this method lies in the application of criteria‐based content analysis (CBCA) to the content of the provided account in an attempt to determine its veracity. Despite the popularity and importance of this instrument in legal settings in a variety of countries, there is little evidence that the cultural and ethnic background of the alleged child victims is taken into account. The current paper proposes a theoretical overview of the culturally sensitive aspects of cognition, memory, motivation and self‐identity as reflected in each of the two general categories of the CBCA criteria (i.e. cognitive and motivational). Our investigation revealed that several criteria are likely to be sensitive to cultural differences, therefore further direct empirical proof is needed to improve validation of SVA use in culturally diverse child sexual abuse cases. In the interim, we would encourage the use of culturally sensitive practices and policies among practitioners using CBCA.‘There is little evidence that the cultural and ethnic background of the alleged child victims is taken into account’Key Practitioner Messages

The cultural or ethnic background of children influences their accounts; thus, it should be expected that certain CBCA criteria can be affected by these factors.
Professionals using this method are recommended to take a more ‘culturally sensitive’ approach, which involves learning more about cultural differences and monitoring their own expectations and biases.
More empirical research is needed in order to validate which CBCA criteria are suitable for use in a variety of cultures and cross culturally.
Using the Dirichlet model to predict how fashion brands compete and grow on eBay
Authors: Chowdhury Shamim , Barker Alicia , Trinh Giang , Lockshin Larry 
Published: November 2021

AbstractE‐fashion brand competition has historically been studied from an attitudinal lens, through surveys and theory‐based approaches. These studies generally examine consumer attitudes, satisfaction and loyalty; highlighting that trust, satisfaction and reputation are key e‐commerce success elements. However, the empirical consumer behaviour literature rebuts the use of attitudes to explain brand performance, criticising their subjectivity and the overall ineffectiveness of loyalty as a brand growth tool. The article presents Gerald Goodhardt and colleagues' Dirichlet model as an alternative approach to understanding e‐fashion buyer behaviour. The Dirichlet model is a robust, stochastic model that has reliably predicted well‐established law‐like patterns of buyer behaviour and brand competition. We apply Dirichlet modelling to a new, non‐fast moving consumer goods category to extend consumer behaviour research in the online environment. The study uses consumer panel data from the United Kingdom, across two consecutive years. We conclude that the Dirichlet model has an excellent fit within the eBay fashion brand market. The study also identifies that the well‐known double jeopardy pattern exists within this market, demonstrating that e‐fashion brands grow through acquisition rather than retention of customers. This provides a different viewpoint than most e‐fashion brand growth literature. In addition to this, we examine the predictive capability of the Dirichlet model. We use a holdout sample to show that the model can predict future brand performance metrics, which is an exciting new development in consumer behaviour research.