bluuebunny/crossref_metadata_2025_split huggingface dataset:
Morphomolecular and cultural characteristics and host range of Lasiodiplodia theobromae causing stem canker disease in dragon fruit
Authors: Briste Preangka S. , Akanda Abdul M. , Bhuiyan Md. Abdullahil B. , Mahmud Nur Uddin , Islam Tofazzal 
Published: January 2022

AbstractDragon fruit (Hylocereus polyrhizus) is an economically promising fruit in Bangladesh. The cultivation of dragon fruit has increased fourfold within a decade due to its popularity. Recently, a new disease known as stem canker was reported in some plantations of dragon fruit in Bangladesh, which forced some farmers to abandon their cultivation. This study aimed to explore the morphological, molecular, and cultural characteristics as well as host range of the causal agent associated with this destructive disease. Morphologically similar eight fungal isolates were recovered from eight canker symptomatic dragon fruit stems. Among them, two isolates (namely BU‐DLa 01 and BU‐DLa 02) were used for a detailed study. Morphological parameters and phylogeny of sequence data of internal transcribed spacer (ITS1, 5.8S rRNA, and ITS2), β‐tubulin, and translation elongation factor 1‐α identified the isolates as Lasiodiplodia theobromae. The cultural features were studied hinged on the growth of the two isolates on various media, temperature, and pH. Though the mycelial growth of the fungi was supported by all the media tested, potato dextrose agar was the most suitable one for both isolates. The fungi thrived well at a temperature of 25–35°C and 5.5–6.5 pH. Inoculation trials of dragon fruit stem ascertained Koch's postulate. In host range test, the isolates were found pathogenic toward mango, guava, banana, and the fruits of dragon fruit. These data will contribute not only to understanding the biology of L. theobromae as a newly recognized pathogen of H. polyrhizus but also will help in designing a proper management package against this pathogen.
At the mercy of our emotions? A multi‐dimensional analysis of emotions in knowledge management research
Authors: Hornung Olivia , Smolnik Stefan 
Published: January 2022

AbstractEmotions are deeply rooted in the human mind and vital to many knowledge processes, such as knowledge creation and knowledge sharing. Nonetheless, the knowledge management (KM) discipline largely approaches KM from a rational rather than an emotional standpoint. Therefore, starting with a broad view on emotions in general as well as several discrete emotions, our paper presents a structured review of existing evidence on emotions and their role in KM research. We use a structured literature review approach to examine research on emotions as a general concept as well as several discrete emotions in KM research. We recognize and incorporate an integrative emotions‐in‐KM framework, dividing KM into enablers, processes, and intermediary outcomes as well as organizational performance, and connected emotions with each of these parts. After identifying 72 relevant research publications, we analyze and assign these publications to our initially developed integrative review framework. We present several research opportunities to inspire and encourage further research on emotions in KM. Our analysis reveals a strong focus on empirical approaches; we suggest future research employs further qualitative research to incorporate profound theories and models for further exploring emotions in KM. Furthermore, emotions as the intermediary outcome or during knowledge creation and knowledge use could be investigated in further research endeavors. By showing in which KM contexts and processes emotions are displayed, organizations can draw conclusions to trigger positive emotions for better KM as well as reducing barriers caused by emotions.
Sliding wear and friction behaviour of WC‐stainless steel and WC–Co composites
Authors: Vilhena Luis M. , Fernandes Cristina M. , Sacramento Joaquim , Senos Ana M. R. , Ramalho Amilcar 
Published: January 2022

AbstractThe sliding wear and friction behaviour of new developed WC‐stainless steel composites without and with carbon addition were evaluated using a linearly reciprocating sliding tribometer under ball‐on‐flat configuration, sliding against an alumina ball under unlubricated conditions. The wear of both, discs and ball were measured for different applied loads, sliding distances and frequencies. Worn surfaces were investigated by using microscopy and topography techniques. Comparative experiments were performed using flat samples of a conventional WC–Co composite. It was found that the WC–Co grade displayed an undoubtedly better sliding wear resistance and lower coefficient of friction if compared with the newly produced WC‐SS composites.
Polymeric Nanoplatforms for the Delivery of Antibacterial Agents
Authors: Chen Yongcheng , Huang Yue , Jin Qiao 
Published: January 2022

AbstractAntibiotic therapy is the first choice for the treatment of bacterial infections in the clinic. However, the continuously increasing bacterial resistance makes traditional antibiotic therapy difficult to achieve ideal therapeutic performance, necessitating the development of new antibacterial strategies. Polymeric nanoparticles have received much attention in biomedical applications. They can be used as nanocarriers to deliver a variety of antibacterial agents to the infected area. Compared to traditional drug delivery systems, polymeric nanoparticles show various advantages, including improved drug stability, long circulation time, controlled drug release, selective drug accumulation, and so on. This review summarizes the current applications of polymeric nanoparticles for the delivery of antibacterial agents. First, an extensive review of the applications of polymeric nanoplatforms in the delivery of various antibacterial drugs is conducted. The mechanisms and strategies of various stimuli‐responsive polymeric nanoplatforms are then discussed, especially focusing on how to improve the antibacterial efficacy and reduce the side effects. Finally, the challenges of future developments of polymeric nanoplatforms in the delivery of antibacterial agents are discussed.
In situ 13C solid‐state polarization transfer NMR to follow starch transformations in food
Authors: Nowacka‐Perrin Agnieszka , Steglich Thomas , Topgaard Daniel , Bernin Diana 
Published: January 2022

AbstractConvenience food products tend to alter their quality and texture while stored. Texture‐giving food components are often starch‐rich ingredients, such as pasta or rice. Starch transforms depending on time, temperature and water content, which alters the properties of products. Monitoring these transformations, which are associated with a change in mobility of the starch chain segments, could optimize the quality of food products containing multiple ingredients. In order to do so, we applied a simple and efficient in situ 13C solid‐state magic angle spinning (MAS) NMR approach, based on two different polarization transfer schemes, cross polarization (CP) and insensitive nuclei enhanced by polarization transfer (INEPT). The efficiency of the CP and INEPT transfer depends strongly on the mobility of chain segments—the time scale of reorientation of the CH‐bond and the order parameter. Rigid crystalline or amorphous starch chains give rise to CP peaks, whereas mobile gelatinized starch chains appear as INEPT peaks. Comparing 13C solid‐state MAS NMR experiments based on CP and INEPT allows insight into the progress of gelatinization, and other starch transformations, by reporting on both rigid and mobile starch chains simultaneously with atomic resolution by the 13C chemical shift. In conjunction with 1H solid‐state MAS NMR, complementary information about other food components present at low concentration, such as lipids and protein, can be obtained. We demonstrate our approach on starch‐based products and commercial pasta as a function of temperature and storage.
Nurses’ perceptions of fall risk factors and fall prevention strategies in acute care settings in Saudi Arabia
Authors: Innab Adnan M. 
Published: January 2022

AbstractAimThis study aimed to explore nurses’ perceptions of the factors associated with falls and of fall prevention strategies in acute care settings in Saudi Arabia.DesignThis is a cross‐sectional, correlational, descriptive study.MethodsData were collected from 102 nurses using a survey on the risk factors and prevention strategies of injurious falls.ResultsWe found that impaired balance and muscle strength, limited mobility, and an inability to follow safety instructions were reported as the top factors in falls. Multidisciplinary fall prevention strategies are effective in reducing the prevalence of falls. Nurses with higher levels of education had higher perceptions towards the risk factors of falls. Formal patient safety training, including fall prevention education programmes, were shown to reduce falls by making nurses more aware of fall risk factors and prevention strategies. The findings of this study can be used to inform managers about factors that may contribute to falls in acute care settings.
An eco‐friendly extraction and purification method of nuciferine from Folium nelumbinis with p‐sulfonatocalix[6]arenes
Authors: Yu Xuan , Chen Mei‐ling , Liu Yi , Li Cheng‐hao , Qiu Xi‐long , Ren Xiao‐liang , Wang Meng , Zhang De‐qin 
Published: January 2022

AbstractIntroductionFolium nelumbinis is used as vegetable, functional food and herbal medicine in Asia. p‐Sulfonatocalix[6]arene (SC6A) is a water‐soluble supramolecular macrocycle and has never been applied to the extraction of herbal products.ObjectiveIn this study, SC6A‐assisted extraction of nuciferine from Folium nelumbinis has been carried out to develop an eco‐friendly extraction process with high extraction efficacy and easy operation.MethodsSingle‐factor experiments were adopted to obtain the optimal conditions for the SC6A‐assisted extraction of nuciferine from Folium nelumbinis, and then nuciferine and SC6A were separated easily by one‐step alkalization. The host–guest complexes between nuciferine and SC6A were analyzed by competitive fluorescence titration, DSC, FT‐IR and 1H‐NMR.ResultsThe optimal SC6A/Folium nelumbinis/solution ratio for extraction was 0.4:1:20 (g/g/mL), with a granulometric fraction below 180 μm and an extraction time of 1 h with soaking. The purity and recovery of nuciferine extracted with SC6A were increased 29.24 and 35.73 times compared with extraction with aqueous solution, respectively. Moreover, a good reusability of SC6A in the extraction of nuciferine was demonstrated. Competitive fluorescence titration, DSC, FT‐IR and 1H‐NMR characterization indicated that SC6A could form host–guest complexes with nuciferine at a ratio of 1:1.ConclusionThe study provided an eco‐friendly, safe and effective nuciferine extraction method, which can be used for the development of nutrition supplements containing nuciferine.
Post‐mortem analysis of a commercial Copper Indium Gallium Diselenide (CIGS) photovoltaic module after potential induced degradation
Authors: Yilmaz Pelin , Aninat Rémi , Cruz Gonzalo Ott , Weber Thomas , Schmitz Jurriaan , Theelen Mirjam 
Published: January 2022

AbstractAn extensive post‐mortem analysis was conducted on a commercial copper‐(indium‐gallium)‐diselenide (CIGS) photovoltaic module that degraded after exposure to the high voltage stress of a standardized potential induced degradation (PID) test. We employed a custom‐developed coring technique to extract samples from the full‐size field module, which showed degraded and nondegraded areas (regarded as reference) in electroluminescence after the PID test. The resulting solar cell samples were compared based on their electrical properties and sodium profiles using a wide range of laboratory‐based analysis techniques including photoluminescence and lock‐in thermography imaging, current–voltage measurements, and glow discharge optical emission spectroscopy. The samples that were extracted from the degraded areas of the module showed lower photoluminescence intensity and had significantly lower open‐circuit voltage V(oc) and fill factor (FF) values in comparison with reference samples. An increased content of sodium within the absorber layer was also observed for these samples, linking sodium migration to PID. These observations at the module level are consistent with earlier reports on PID‐stressed CIGS cells and mini‐modules. This is to our knowledge the first reported study of a microscopic investigation on a real‐life full‐scale CIGS module after PID.
Markerless registration approach using dynamic touchable region model
Authors: Nguyen Hang Phuong , Kim Taeho , Kim Sungmin 
Published: January 2022

AbstractBackgroundMarkerless registration is required for image‐guided surgery; it has limited accuracy due to the ambiguity of the correspondence point set. In this study, we proposed a registration framework to improve registration accuracy for markerless registration using a dynamic touchable region model (DTRM).MethodsThe DTRM is defined using the geometric characteristics of the surface around the fiducial area using Intrinsic Shape Signature keypoints. The new registration procedure, which combines the DTRM with iterative closest point‐based registration (ICDTP) was implemented and verified with phantom experiments for a single‐user and multi‐user study.ResultsThe ICDTP registration framework provides improved performance over the paired‐point registration for surgeries, where it is inappropriate to construct the corresponding positions with adhesive fiducial markers.ConclusionThe proposed method can be an alternative approach for image‐guided surgery in operations for which itis not appropriate to set up markers for registration.
Global trends of the Common European Framework of Reference: A bibliometric analysis
Authors: Sahib Farah Hussan , Stapa Mahani 
Published: January 2022

AbstractThe Common European Framework of Reference (CEFR) is a crucial reference framework for informing teaching, learning and assessment that has achieved worldwide prominence in language education. However, there have been concerns raised regarding the breadth of its influence across different domains and countries. Using a bibliometric approach, a sample of 770 scholarly works on the CEFR publications from the Scopus database was observed to investigate the CEFR research activity. The data was analysed using Microsoft Excel for frequency analysis, VOSviewer for data visualisation, and Harzing's Publish or Perish for citation metrics and analysis. This study sought to investigate the evolution of CEFR research from its inception and subsequent trends based on source title, country and institution, and examined the citation pattern of the publication. It also discusses the fundamental themes based on the occurrences and terms of the keywords, titles and abstracts of the documents. This paper also identifies the major key players involved in the research. The findings demonstrate that the CEFR has been widely disseminated and has had a substantial impact, since the number of publications outside of Europe, such as in North America and Asia, has increased. However, cross‐country collaboration revealed a dearth of CEFR research collaboration across Asia. The findings provide essential input towards the emerging movements and issues in articles, journal performance, collaboration patterns, and research constituents, contributing to the scarce literature on the global trends of the CEFR.
Incipient fault prediction for nonlinear stochastic distribution systems
Authors: Zhang Chang , Yao Lina 
Published: January 2022

AbstractIn order to avoid the occurrence of major accidents in the industrial production process, incipient fault prediction that can predict fault in advance has attracted more and more attentions. In this article, a generalized correntropy filtering‐based incipient fault prediction strategy is proposed, which is suitable for nonlinear stochastic distribution systems with simultaneous actuator and sensor faults and non‐Gaussian noise. Three filters are designed to predict the incipient fault of nonlinear stochastic distribution systems: the first one is used to predict the time when the incipient fault occurs, and the other two are used to estimate the evolution rate of sensor fault and actuator fault, respectively. When the residual signal exceeds the predetermined threshold, the fault is detected and the time of occurrence can be also estimated. Once the fault is detected, the designed filter can be used to estimate the evolution rate of the unknown fault. After estimating the time of fault appearance and its evolution rate, the change process of incipient fault can be predicted. Finally, an example of a chemical reaction process is given to illustrate the validity of the prediction scheme.
A general iterative clustering algorithm
Authors: Lin Ziqiang , Laska Eugene , Siegel Carole 
Published: January 2022

AbstractThe quality of a cluster analysis of unlabeled units depends on the quality of the between units dissimilarity measures. Data‐dependent dissimilarity is more objective than data independent geometric measures such as Euclidean distance. As suggested by Breiman, many data driven approaches are based on decision tree ensembles, such as a random forest (RF), that produce a proximity matrix that can easily be transformed into a dissimilarity matrix. An RF can be obtained using labels that distinguish units with real data from units with synthetic data. The resulting dissimilarity matrix is input to a clustering program and units are assigned labels corresponding to cluster membership. We introduce a general iterative cluster (GIC) algorithm that improves the proximity matrix and clusters of the base RF. The cluster labels are used to grow a new RF yielding an updated proximity matrix, which is entered into the clustering program. The process is repeated until convergence. The same procedure can be used with many base procedures such as the extremely randomized tree ensemble. We evaluate the performance of the GIC algorithm using benchmark and simulated data sets. The properties measured by the Silhouette score are substantially superior to the base clustering algorithm. The GIC package has been released in R:
https://cran.r‐project.org/web/packages/GIC/index.html.
Holdups in Nitride MXene's Development and Limitations in Advancing the Field of MXene
Authors: Johnson Denis , Qiao Zhi , Uwadiunor Ekenedilichukwu , Djire Abdoulaye 
Published: January 2022

AbstractAs nanomaterials are becoming a key component in various electronics, 2D nanomaterials are emerging and attracting tremendous attention in the scientific community due to their unique physical, chemical, and structural properties. In recent years, a new family of 2D carbides and nitrides, known as MXenes, has become the center of attention for many electrochemical energy storage and conversion systems. While nitride MXenes have some publications centered around them, the overwhelming majority revolve around carbide and their direct application to systems without understanding the underlying mechanism behind their performance. The lack of publications in both of these fields, nitrides and mechanistic understanding, causes a major stopgap in MXene research and needs to be remedied in order to truly utilize their potential for future electronics and energy conversion systems. In this work, the limited works on nitride MXenes and the applications of in situ/operando characterization techniques in understanding the underlying mechanisms of energy storage and conversion in MXenes are reviewed, major progress and remaining challenges in both fields are identified, recommendations on how to circumvent the challenges and limitations are provided, and finally, new research directions that must be performed to advance the field of 2D carbide and nitride MXenes are proposed.
How Does Having a Good Ear Promote Instructed Second Language Pronunciation Development? Roles of Domain‐General Auditory Processing in Choral Repetition Training
Authors: Shao Yujie , Saito Kazuya , Tierney Adam 
Published: January 2022

AbstractGrowing evidence suggests that auditory processing ability may be a crucial determinant of language learning, including adult second language (L2) speech learning. The current study tested 47 Chinese English‐as‐a‐Foreign‐Language students to examine the extent to which two types of auditory processing, i.e., perceptual acuity and audio‐motor integration, related to improvements in the comprehensibility and nativelikeness of L2 speech following two weeks of choral repetition training (i.e., shadowing). All participants’ pronunciation proficiency became significantly more comprehensible over time, and the degree of improvement in the nativelikeness of pronunciation was tied to the ability to remember and reproduce sounds (i.e., audio‐motor integration). The findings suggest that robust auditory‐motor integration may play a key role in the acquisition of advanced‐level L2 pronunciation proficiency (i.e., comprehensible and nativelike speech).
Development of chromogenic detection for biomolecular analysis
Authors: Peng Weipan , Li Wenna , Han Houyu , Liu Hao , Liu Ping , Gong Xiaoqun , Chang Jin 
Published: January 2022

AbstractChromogenic detection of target objects has attracted extensive attention in the academic field with high specificity and sensitivity. Based on color changes in chemical reactions, biomolecular analysis with simple and rapid signal readout in disease diagnosis can be realized. At present, three main mechanisms of chromogenic detection were proposed, including proteases catalysis, enzyme mimics catalysis, and chemical reactions based on inorganic or organic for biomolecular analysis. With the unremitting efforts of scientific researchers, the evolution of chromogenic detection has been developed from the early qualitative detection to the current quantitative detection, accompanied by the improvement of sensitivity. Herein, this paper reviewed the mechanisms and relevant applications of chromogenic detection from the above three aspects, discussed the challenge, and provided a future perspective in this emerging field.
A review of recent progress toward the efficient separation of circulating tumor cells via micro‐/nanostructured microfluidic chips
Authors: Liu Xiaoshi , Ma Liang , Yan Wenyuan , Aazmi Abdellah , Fang Minghe , Xu Xiuzhen , Kang Hanyue , Xu Xiaobin 
Published: January 2022

AbstractCirculating tumor cells (CTCs) are closely correlated with cancer diagnoses, and their early detection can help patients receive accurate prognoses in a noninvasive manner. However, the rarity, fragility, and heterogeneity of CTCs introduce significant technical challenges to their separation from blood. Recent advances in micro‐/nanofabrication techniques have made microfluidic chips better for CTC separation. In this review, we mainly focus on recent progress made in the development of microfluidic chips incorporating micro‐/nanostructures for the CTC separation. Specifically, we reviewed two major CTC separation mechanisms, that is, physical and chemical approaches. Representative works on physical mechanism‐based approaches (include pillar filtration, cross‐flow filtration, deterministic lateral displacement, smart materials, and bionics); immunomagnetic beads, and surface modification; and chemical mechanism‐based approaches include diversity of affinity ligand selection, are reviewed. Their advantages and disadvantages are compared and discussed, and a perspective on the future direction of CTC is provided.