bluuebunny/crossref_metadata_2025_split huggingface dataset:
Perceptions Influencing Apparel Safety Sustainable Consumption Behaviour: Exploring the Contextual Relationship
Authors: Chen Lihong , Qie Kexin , Yu Hong , Ding Xuemei 
Published: April 2022

The purpose of this paper is to develop and test a theoretical model that explains that the impact of consumer perceptions of apparel safety on their consumption behavior is moderated by consumers’ attitude and the price in the relationship studied. A survey questionnaire was developed and conducted first in a pretest by 231 participants to initially identify possible measurement problems. Another 321 potential consumers subsequently filled in the questionnaire on our website, out of which 296 questionnaires were used to verify the validity and reliability by statistical analysis and the structural equation model. The paper identifies a set of apparel safety perception dimensions that do not drive safe consumption practices. It is further seen that price is more likely to moderate the relationship with consumer behaviors than perceptions and attitudes. Therefore, the paper significantly fills the gaps between apparel safety perceptions and apparel safety consumption behavior. The findings of the paper have significant implications for apparel companies who wish to explore the apparel market potential in China.
Optical Fibers in the Design and Fabrication of Smart Garments – a Review
Authors: Raji Rafiu King , Qin Luo , Ning Li , Haijin Liu 
Published: April 2022

Several publications and even commercial products showcasing the application of optical fibers for textile goods abound in literature. Optical fibers can be employed as sensors by making use of physical principles to sense strain, temperature, and other quantities by tailoring the fiber such that the quantity to be measured alters the intensity, phase, polarisation, and wavelength of light within the fiber. However, a paper directed at the development of textile based applications or smart garments using optical fibers is lacking. This review seeks to serve as apt reference material for the development of optical fiber based textile sensors or smart garments with a focus on the application of plastic optical fibers (POFs). Highlighted are the salient material properties of POFs and their importance in delivering satisfactory sensing results. Special treatment has also been given to their proposed feasibility for embedment within weft knitted structures.
Interfacial Structure of Polytrimethylene Terephthalate/Polyethylene Terephthalate Bicomponent Filament
Authors: Yang Zhuli , Wang Fumei , Guan Fuwang , Luo Jin , Yiping Qiu , Zhang Chuyang 
Published: April 2022

The interfacial structure and binding forces of polytrimethylene terephthalate/polyethylene terephthalate filament were investigated through the methods of Carbon-13 nuclear magnetic resonance (13C-NMR), differential scanning calorimeter (DSC), scanning electron microscopy (SEM) and optical microscopy. When two molten polymers met during the spinning process, an interface layer between the PTT and PET components formed and played an important role in binding the two components together. When the blending time was sufficient, an ester-interchange reaction took place with the generation of the copolymer. The PET recrystallisation was observed in the DSC curve under the influence of entangled PTT molecular chains. The morphology of the cross-section and side view proved that the linear boundary line was short and weaker in binding without a chemical bond and molecular diffusion. Side-by-side bi-component fiber and split-type fiber was able to be controllably spun by adjusting the spinning parameters.
Identifying and characterizing Stagonosporopsis cucurbitacearum causing spot blight on Pinellia ternata in China
Authors: Zhou Jia , Xu Jiawei , Xu Rong , Chen Qiaohuan , Wang Yunhan , Huang Bisheng , Liu Dahui , Miao Yuhuan 
Published: April 2022

Background
Pinellia ternata (Thunb.), a perennial herbal plant in the Araceae family, has great medicinal value and market demand. In August 2020, an outbreak of severe leaf spot blight disease resulted in a huge yield loss of P. ternata. It is necessary to isolate and identify the pathogens that cause spot blight on P. ternata.

Methods
In this study, we isolated and identified the pathogens by fulfilling Koch’s postulates. Disease samples with typical spot blight symptoms were collected and pathogens were isolated from the diseased tissues. The pathogen was identified based on its biological characteristics and molecular analysis of internal transcribed (rDNA-ITS) and large subunit (LSU) sequences. Phylogenetic tree were constructed using MEGA7 software and pathogenicity tests were performed using in vivo inoculation. Finally, the pathogen was recovered and identified from the inoculated plants.

Results
Based on Koch’s postulates, we identified the pathogen causing spot blight on P. ternata as Stagonosporopsis cucurbitacearum. To our knowledge, this is the first study to explore spot blight on P. ternata caused by S. cucurbitacearum in China.
PipeCoV: a pipeline for SARS-CoV-2 genome assembly, annotation and variant identification
Authors: Oliveira Renato R. M. , Costa Negri Tatianne , Nunes Gisele , Medeiros Inácio , Araújo Guilherme , de Oliveira Silva Fabricio , Estefano Santana de Souza Jorge , Alves Ronnie , Oliveira Guilherme 
Published: April 2022

Motivation
Since the identification of the novel coronavirus (SARS-CoV-2), the scientific community has made a huge effort to understand the virus biology and to develop vaccines. Next-generation sequencing strategies have been successful in understanding the evolution of infectious diseases as well as facilitating the development of molecular diagnostics and treatments. Thousands of genomes are being generated weekly to understand the genetic characteristics of this virus. Efficient pipelines are needed to analyze the vast amount of data generated. Here we present a new pipeline designed for genomic analysis and variant identification of the SARS-CoV-2 virus.

Results
PipeCoV shows better performance when compared to well-established SARS-CoV-2 pipelines, with a lower content of Ns and higher genome coverage when compared to the Wuhan reference. It also provides a variant report not offered by other tested pipelines.

Availability
https://github.com/alvesrco/pipecov.
Cetacea (Whales, Porpoises and Dolphins)
Authors: Marx Felix G , Fordyce R Ewan 
Published: April 2022

AbstractWhales and dolphins (cetaceans) are streamlined mammals that spend all their lives in water. Their earliest ancestors evolved more than 50 million years ago from even‐toed hoofed mammals like hippos and cows. Modern cetaceans range through all oceans and from the tropics to the polar regions. Even so, they belong to just two major clades: baleen whales (mysticetes) and toothed whales (odontocetes). Mysticetes include the largest animals on Earth and are characterised by keratinous, comb‐like baleen plates which they use to filter feed on tiny prey. By contrast, odontocetes use a form of biosonar (echolocation) to target single fish and squid. The vast majority of the 92 recognised living species belong to just three families: oceanic dolphins, beaked whales and rorquals.Key ConceptsWhales and dolphins evolved from even‐toed hoofed mammals.They spend all their lives in water and show key aquatic adaptations like streamlined bodies, baleen, echolocation and suction feeding.They include the largest and, apart from humans, the brainiest animals on Earth.Most belong to just three major families: oceanic dolphins, beaked whales and rorquals.Advances in fossil sampling are beginning to reveal global patterns in whale evolution, including a major turnover event around 23 Ma.
Supported Sub‐Nanometer Clusters for Electrocatalysis Applications
Authors: Zhang Bingxing , Chen Yaping , Wang Jianmei , Pan Hongge , Sun Wenping 
Published: April 2022

AbstractSingle‐atom catalysts (SACs) have attracted great attention in the field of electrocatalysis due to their exceptional activity, selectivity, 100% atom utilization, and tailorability of active sites at atomic level. The metal–support interactions and interatomic synergies, however, are severely limited due to the isolation of active sites in SACs which hinder their applications in some complex reactions. To this end, supported sub‐nanometer cluster catalysts (SNCCs, <2 nm) with nearly fully exposed active atoms may outperform the SACs in some specific catalytic reactions. The presence of abundant chemical bonds in the clusters can flexibly regulate the support–cluster interaction and build ensemble effect in the sub‐nanometer clusters for different electrocatalysis applications. In this review, recent advances of supported SNCCs in electrocatalysis applications are summarized and discussed for the first time. In particular, the importance of the support–cluster interactions and ensemble effect of the clusters in determining the catalytic performance of SNCCs are highlighted. Lastly, challenges and opportunities in SNCCs electrocatalysis are prospected.
Toward Understanding Chalcopyrite Solar Cells via Advanced Characterization Techniques
Authors: Bae Soohyun , Kim Joo‐Hyun , Lee Hae‐Seok , Min Byoung Koun 
Published: April 2022

AbstractIn response to global environmental concerns, the importance of renewable energy, especially photovoltaic technology, is widely emphasized. As such, various efforts are made to improve the efficiency of solar cells, leading to significant technological advances supported by effective analysis and characterization techniques. Understanding these characterization techniques is important when looking to overcome technological limits and set the direction of technological development. Because the electrical properties of device, such as the carrier lifetime, doping density, energy levels, and surface potential, are generally determined based on the crystallographic phase, morphology, and compositional distribution, characterization techniques are developed to provide quantitative information on the absorber, surface, and interfaces of solar cells in order to improve their overall performance. In this review, basic to advanced characterization techniques for chalcopyrite solar cells are introduced. Because chalcopyrite solar cells exhibit high efficiency and are already commercialized, this can be a good lesson for studying the technological development history regarding efficiency improvement with characterization of thin‐film solar cells. Based on the various characterization techniques reviewed in this paper, structure−property relationships are established, thus providing a foundation for the development of strategies to improve processing conditions and thus increase the efficiency of solar cells.
Enhancing the Light Output‐Coupling of Inverted Top‐Emitting Organic Light‐Emitting Diodes by Using the Localized Surface Plasmon Resonance of Ag Nanoparticles
Authors: Zhao Yunping , Niu Yixiao , Shi Wei , Zhang Zhen , Yang Xuyong , Wei Bin , Pang Yudong , Wong Wai‐Yeung 
Published: April 2022

AbstractIn this study, a light out‐coupling layer (LOCL) composed of Ag nanoparticles (NPs) and MoOx is introduced on top of the inverted top‐emitting organic light‐emitting diode (OLED). The full width at half maximum (FWHM) is narrowed to 50 nm due to the micro‐cavity effect of the top‐emitting structure and the turn‐on voltage is as low as 2.6 V. The AgNPs in the LOCL significantly improves the light output‐coupling of the OLED owing to the localized surface plasmon resonance, and the MoOx in the LOCL effectively protects the water‐ and oxygen‐sensitive electron injection material. As a result, the performance of the OLED with the LOCL is significantly enhanced. The maximum current efficiency and external quantum efficiency of the device are increased by 53% and 30% to 28.27 cd A−1 and 13.09%. The enhanced electroluminescent performance of the OLED, together with the narrowed FWHM and the low turn‐on voltage, provides a new way to realize ultra‐high‐definition display and micro‐display.
Ni‐CeO2 Heterostructures in Li‐S Batteries: A Balancing Act between Adsorption and Catalytic Conversion of Polysulfide
Authors: Kong Yang , Ao Xin , Huang Xiao , Bai Jinglong , Zhao Shangquan , Zhang Jinyong , Tian Bingbing 
Published: April 2022

AbstractLithium–sulfur (Li–S) batteries have attracted considerable attention over the last two decades because of a high energy density and low cost. However, the wide application of Li–S batteries has been severely impeded due to the poor electrical conductivity of S, shuttling effect of soluble lithium polysulfides (LiPSs), and sluggish redox kinetics of S species, especially under high S loading. To address all these issues, a Ni–CeO2 heterostructure‐doped carbon nanofiber (Ni‐CeO2‐CNF) is developed as an S host that combines the strong adsorption with the high catalytic activity and the good electrical conductivity, where the LiPSs anchored on the heterostructure surface can directly gain electrons from the current collector and realize a fast conversion between S8 and Li2S. Therefore, Li–S batteries with S@Ni‐CeO2‐CNF cathodes exhibit superior long‐term cycling stability, with a capacity decay of 0.046% per cycle over 1000 cycles, even at 2 C. Noteworthy, under a sulfur loading up to 6 mg cm−2, a high reversible areal capacity of 5.3 mAh cm−2 can be achieved after 50 cycles at 0.1 C. The heterostructure‐modified S cathode effectively reconciles the thermodynamic and kinetic characteristics of LiPSs for adsorption and conversion, furthering the development of high‐performance Li–S batteries.
COVID‐19 breakthrough infections and hospitalizations among vaccinated patients with dementia in the United States between December 2020 and August 2021
Authors: Wang Lindsey , Davis Pamela B. , Kaelber David C. , Xu Rong 
Published: April 2022

AbstractIntroductionThere is lack of data on COVID‐19 breakthrough infections in vaccinated patients with dementia in the United States.MethodsThis is a retrospective cohort study of 262,847 vaccinated older adults (age 73.8 ± 6.81 years old) between December 2020 and August 2021.ResultsAmong the fully vaccinated patients with dementia, the overall risk of COVID‐19 breakthrough infections ranged from 8.6% to 12.4%. Patients with dementia were at increased risk for breakthrough infections compared with patients without dementia, with the highest odds for patients with Lewy body dementia (LBD) (adjusted odds ratio or AOR: 3.06, 95% confidence interval or CI [1.45 to 6.66]), followed by vascular dementia (VD) (AOR: 1.99, 95% CI [1.42 to 2.80]), Alzheimer's disease (AD) (1.53, 95% CI [1.22 to 1.92]), and mild cognitive impairment (MCI) (AOR: 1.78, 95% CI [1.51 to 2.11]). The incidence rate of breakthrough infections among fully vaccinated patients with dementia increased since December 2020 and accelerated after May 2021. The overall risk for hospitalization after breakthrough infections in patients with dementia was 39.5% for AD, 46.2% for VD, and 30.4% for MCI.DiscussionThese results highlight the need to continuously monitor breakthrough severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) infections and outcomes in vaccinated patients with dementia.
Technical failure of the EZ‐blocker™ causing serious adverse events during one lung ventilation: a case series
Authors: Dillemans J. , Van Gompel C. , Wouters P. , Vanpeteghem C. 
Published: April 2022

SummaryWe present a case series of intra‐operative adverse events while using a specific type of bronchial blocker, designed to facilitate device positioning and minimise the risk of dislocation. The Rüsch® EZ‐blocker™ (Teleflex Life Sciences Ltd., Athlone, Ireland) is a Y‐shaped catheter equipped with two separately inflatable cuffs at the tip – one for each bronchial lumen. In this report, we describe four cases where the use of the EZ‐blocker was associated with the development of high airway pressures, hypoxaemia and expansion of the non‐dependent lung. Bronchoscopic evaluation showed spontaneous inflation of the cuff within the dependent (i.e. ventilated) bronchus, causing bronchial obstruction, and volume loss of the cuff within the non‐dependent (i.e. unventilated) bronchus, causing unintended expansion of the non‐dependent lung. After removal of the bronchial blocker, the catheter showed no visible defect, but a bench test revealed a functional connection inside the catheter which allowed air to pass slowly from one bronchial cuff to the other. This technical defect relates to the unique design of the EZ‐blocker as it is the only bronchial blocker equipped with two bronchial cuffs. Clinicians should be aware of this inherent risk since complications may develop insidiously and affect both lungs simultaneously. Early recognition and prompt intervention can prevent life‐threatening intra‐operative deterioration.
A systematic and major review of proactive environmental strategies in hospitality and tourism: Looking back for moving forward
Authors: Elkhwesky Zakaria 
Published: April 2022

AbstractProactive environmental strategies (PESs) are dynamic environmental capabilities that stimulate competitive advantage in the hospitality and tourism (H&T) industries. PESs legitimize environmental goals, policies, budgets, and reports, allowing for environmentally friendly actions and behaviors. In order to highlight measures, antecedents, and outcomes of PESs in the H&T industries, 287 articles were obtained from the Web of Science (WoS) and Scopus databases. Only 78 articles were identified as eligible for the final analysis, spanning a period of more than 26 years (1996 till 2022). The current review demonstrates that PESs in H&T have advanced over the last 26 years. There are many PESs in H&T, with no unified set of measurement tools of PESs. Additionally, there are many antecedents and outcomes of PESs in H&T. However, there has been a paucity of research on H&T PESs, necessitating a thorough investigation of several issues. This review discusses implications and recommendations for H&T and presents a strategy for extending future studies through theoretical advancement and empirical development. The current research is the first to conduct a systematic review of PESs in an H&T context.
Controllable automatic generation of non‐player characters in 3D anime style
Authors: Li Ruizhe , Oji Ryo , Fujishiro Issei 
Published: April 2022

AbstractGame creators always use prefabricated models as non‐player characters (NPCs) to create an atmosphere for game scenes. However, players are likely to see different NPCs with the same 3D models because creators usually cannot prepare a high number of NPC models for big game scenes. In this article, we present an anime‐like character customization system, where each customizing parameter can adjust the shape or color for the corresponding part of the character model. Based on this system, we propose an improved approach for generating a rich variety of 3D anime‐like NPCs including body models and clothing items in different styles. We introduce a neural network to control the facial appearances, Gaussian mixture models to control the colors of hair and clothes, and a Bayesian network to control the outfits of clothing items. We demostrate that the proposed approach can maintain the variety and stability of the generated characters.
Porokeratotic adnexal ostial nevus: A paradigm of cutaneous mosaicism
Authors: Kiely Lisa , Ni Mhaolcatha Sarah , Fitzgibbon Jim , Murphy Lesley‐Ann , O’Connor Cathal 
Published: April 2022

AbstractPorokeratotic adnexal ostial nevus (PAON) is a term encompassing porokeratotic eccrine ostial and dermal duct naevus (PEODDN) and porokeratotic eccrine and hair follicle naevus (PEHFN). We present the case of a 7‐year‐old girl who presented with hyperkeratotic verrucous papules in a blaschkolinear distribution on the sole of her left foot.
Predictors of cultural humility in counselors‐in‐training
Authors: Kondili Elvita , Isawi Dana , Interiano‐Shiverdecker Claudia , Maleckas Olivia 
Published: April 2022

AbstractWe utilized a correlational design to investigate the role of multicultural training, intellectual humility, and a quiet ego on predicting cultural humility in counselors‐in‐training. Moreover, we explored facets of intellectual humility and the quiet ego as predictors for domains of cultural humility and provide implications for counselor educators based on the findings.
Cancer‐related inflammation and depressive symptoms: Systematic review and meta‐analysis
Authors: McFarland Daniel C. , Doherty Meredith , Atkinson Thomas M. , O’Hanlon Robin , Breitbart William , Nelson Christian J. , Miller Andrew H. 
Published: April 2022

BackgroundDepressive symptoms in patients with cancer are associated with poor quality of life and decreased survival. Although inflammation is reliably associated with depression in otherwise healthy individuals, the association in patients with cancer remains unclear. Given the high prevalence of cancer‐related inflammation, the authors aimed to establish the relationship between inflammation and depression in cancer patients based on extant literature.MethodsA systematic review and meta‐analysis was performed using Preferred Reporting Items for Systematic Reviews and Meta‐Analyses 2020 guidelines and registered under Prospero ID CRD42021226743. Three databases were searched including PubMed, the Cochrane Library, and PsycINFO using the following criteria for inclusion: 1) measurement of a peripheral inflammatory marker, 2) use of a validated tool/scale to measure depression, and 3) a cancer diagnosis. Risk of publication bias was assessed by Funnel plot and Egger test.ResultsSeventy‐three studies were included in the systematic review and 54 studies (n = 5017) were included in meta‐analyses. Associations with depressive symptoms were significant for peripheral blood interleukin (IL)‐6 (standardized mean difference [SMD] = 0.59; 95% confidence interval [CI], 0.35‐0.82), I2 = 57.9%; tumor necrosis factor (TNF) (SMD = 0.73; 95% CI, 0.35‐1.11), I2 = 74.1%; and C‐reactive protein (CRP) (SMD = 0.57; 95% CI, 0.27‐0.87), I2 = 0%. IL‐5, IL‐13, albumin, and neutrophil‐to‐lymphocyte ratio were associated with depressive symptoms but based on fewer studies. Most cancer settings were represented; the number of studies per inflammatory marker varied from 1 to 52.ConclusionsAlthough peripheral inflammatory markers were unevenly studied, the most studied markers (IL‐6, TNF, and CRP) were associated with depressive symptoms in cancer patients and may be useful for management of depressive symptoms in the cancer setting.Lay Summary

Peripheral blood inflammatory markers (IL‐6, TNF, and CRP) were associated with depressive symptoms in various cancer settings.

Although further studies are warranted, these findings may help identify and manage depressive symptoms in patients with cancer.