bluuebunny/crossref_metadata_2025_split huggingface dataset:
Electrical Potentials of Protoscoleces of the Cestode Echinococcus granulosus from Bovine Origin
Authors: Carabajal Mónica P. A. , Durán Marcos A. , Olivera Santiago , Salom María José Fernández , Cantiello Horacio F. 
Published: June 2021

AbstractLarval stages of the tenia Echinococcus granulosus are the infective forms of cystic echinococcosis or hydatidosis, a worldwide zoonosis. The protoscolex that develops into the adult form in the definitive host is enveloped by a complex cellular syncytial tegument, where all metabolic interchange takes place. Little information is available as to the electrical activity of the parasite in this developmental stage. To gain insight into the electrical activity of the parasite at the larval stage, here we conducted microelectrode impalements of bovine lung protoscoleces (PSCs) of Echinococcus granulosus in normal saline solution. We observed two distinct intra-parasitic potentials, a transient peak potential and a stable second potential, most likely representing tegumental and intra-parasitic extracellular space electrical potential differences, respectively. These values changed upon the developmental status of the parasite, its anatomical regions, or time course after harvesting. Changes in electrical potential differences of the parasite provide an accessible and useful parameter for the study of transport mechanisms and potential targets for the development of novel antiparasitic therapeutics.Author summaryHydatid disease is a parasite-caused zoonosis that causes high morbidity and mortality and has a great impact on public health. The disease has no known cure, and the main lines of treatment include surgery and medical treatments which are not satisfactory, so new drug compounds are urgently needed. Genome sequencing of the parasite has identified different genes encoding ion channels in Echinococcus granulosus, making ion channel inhibitors a promising target for treating hydatidosis. However, no easy technical approaches are available to test the electrical contribution of ion channels to parasite physiology. In the present study, we used the microelectrode impalement technique to determine the electrical properties of the larval stages of the parasite harvested from infected cow lungs. We observed transient electrical potentials not previously reported for the parasite, and changes in these parameters associated with its developmental stage and aging. Our findings indicate that microelectrode impalement of protoscoleces of Echinococcus granulosus may be a strategy of choice to explore and test possible drugs suggested for their therapeutic potential against hydatid disease. Further evaluation of parasites coming from other animals and humans may help address important issues in the treatment and prevention of the hydatid disease.
Prognostic Roles of LncRNA XIST and Its Potential Mechanisms in Human Cancers: A Pan-Cancer Analysis
Authors: Han Wei , Shi Chun-tao , Ma Jun , Shao Qi-xiang , Gao Xiao-jiao , Wang Hao-nan 
Published: June 2021

AbstractBackgroundX-inactive specific transcript (XIST), it has been found, is abnormal expression in various neoplasms. This work aims to explore its potential molecular mechanisms and prognostic roles in types of malignancies.MethodsThis research comprehensively investigated XIST transcription across cancers from Oncomine, TIMER 2.0 and GEPIA2. Correlations of XIST expression with prognosis, miRNAs, interacting protens, immune infiltrates, checkpoint markers and mutations of tumor-associated genes were also analyzed by public databases.ResultsCompared to normal tissues, XIST was lower in BRCA, COAD, LUAD, lymphoma and OV in Oncomine; In TIMER 2.0, XIST was decreased in BRCA, KICH, THCA and UCEC, but increased in KIRC and PRAD; In GEPIA2, XIST was down-regulated in CESC, COAD, OV, READ, STAD, UCEC and UCS. Public databases also showed that XIST was a good indicator of prognosis in BRCA, CESC, COAD, STAD, OV and so on, but a bad one in KIRC, KIRP and so on. From starBase, we found 29 proteins interacting with XIST, and identified 4 miRNAs, including miR-103a-3p, miR-107, miR-130b-3p and miR-96-5p, which might be sponged by XIST in cancers. Furthermore, XIST was linked with immune infiltration, especially T cell CD4+, and was related to over 20 immune checkpoint markers. In addition, XIST was associated with several tumor-associated gene mutations in some cancers.ConclusionIn summary, abnormal expression of XIST influenced prognosis, miRNAs, immune cell infiltration and mutations of tumor-associated genes across cancers, especially BRCA and colorectal cancer. More efforts should be made to detect potential molecular mechanisms of XIST in the carcinogenesis.
Potential of phenothiazines to synergistically block calmodulin and reactivate PP2A in cancer cells
Authors: Okutachi Sunday , Manoharan Ganesh babu , Abankwa Daniel 
Published: June 2021

AbstractPhenothiazines (PTZ) are well known as inhibitors of monoamine neurotransmitter receptors, notably dopamine receptors. Because of this activity they are used for decades as antipsychotic drugs. In addition, significant anti-cancer properties have been ascribed to them. Several attempts for their repurposing were made, however, their incompletely understood polypharmacology is challenging.Here we examined the potential of PTZ to synergistically act on two cancer associated targets, calmodulin (CaM) and the tumor suppressor protein phosphatase 2A (PP2A). Both proteins are known to modulate the Ras-MAPK pathway activity. Consistently, combinations of a CaM inhibitor and a PP2A activator synergistically inhibited cancer cells with KRAS or BRAF mutations. We identified the covalently reactive PTZ derivative fluphenazine mustard as an inhibitor of Ras driven proliferation and Ras membrane organization. We confirmed its anti-CaM activity in vitro and through a cellular CaM target engagement bioluminescence resonance energy transfer (BRET) assay. Our results suggest that improved PTZ derivatives retaining their synergistic CaM inhibitory and PP2A activating properties, but without neurological side-effects, may be interesting to pursue further as anti-cancer agents.
Specificity and Mechanism of Coronavirus, Rotavirus and Mammalian Two-Histidine-Phosphoesterases That Antagonize Antiviral Innate Immunity
Authors: Asthana Abhishek , Gaughan Christina , Weiss Susan R. , Silverman Robert H. 
Published: June 2021

ABSTRACT2’,5’-oligoadenylate(2-5A)-dependent endoribonuclease, RNase L, is a principal mediator of the interferon (IFN) antiviral response. Therefore, regulation of cellular levels of 2-5A is a key point of control in antiviral innate immunity. Cellular 2-5A levels are determined by IFN-inducible 2’,5’-oligoadenylate synthetases (OASs) and by enzymes that degrade 2-5A. Importantly, many coronaviruses and rotaviruses encode 2-5A degrading enzymes thereby antagonizing RNase L and its antiviral effects. A-kinase anchoring protein 7 (AKAP7), a mammalian counterpart, could possibly limit tissue damage from excessive or prolonged RNase L activation during viral infections or from self double-stranded-RNAs that activate OAS. We show these enzymes, members of the two-histidine-phosphoesterase (2H-PE) superfamily, constitute a sub-family referred here as 2’,5’-PEs. 2’,5’-PEs from mouse coronavirus (CoV) MHV (NS2), MERS-CoV (NS4b), group A rotavirus (VP3), and mouse (AKAP7) were investigated for their evolutionary relationships and activities. While there was no activity against 3’,5’-oligoribonucleotides, all cleaved 2’,5’-oligoadenylates efficiently, but with variable activity against other 2’,5’-oligonucleotides. The 2’,5’-PEs are shown to be metal ion-independent enzymes that cleave trimer 2-5A (2’,5’-p3A3) producing mono- or di- adenylates with 2’,3’-cyclic phosphate termini. Our results suggest that elimination of 2-5A might be the sole function of viral 2’,5’-PEs, thereby promoting viral escape from innate immunity by preventing or limiting the activation of RNase L.IMPORTANCEViruses often encode accessory proteins that antagonize the host antiviral immune response. Here we probed the evolutionary relationships and biochemical activities of two-histidine-phosphoesterases (2H-PEs) that allow some coronaviruses and rotaviruses to counteract antiviral innate immunity. In addition, we investigated the mammalian enzyme, AKAP7, which has homology and shared activities with the viral enzymes and might reduce self-injury. These viral and host enzymes, that we refer to as 2’,5’-PEs, specifically degrade 2’,5’-oligoadenylate activators of the antiviral enzyme RNase L. We show that the host and viral enzymes are metal ion independent and exclusively cleave 2’,5’- and not 3’,5’-phosphodiester bonds, producing cleavage products with cyclic 2’,3’-phosphate termini. Our study defines 2’,5’-PEs as enzymes that share characteristic conserved features with the 2H-PE superfamily but which have specific and distinct biochemical cleavage activities. These findings may eventually lead to pharmacologic strategies for developing antiviral drugs against coronaviruses, rotaviruses, and other viruses.
UAV icing: the influence of airspeed and chord length on performance degradation
Authors: Hann Richard , Johansen Tor Arne 
Published: June 2021

Purpose
The main purpose of this paper is to investigate the effects of icing on unmanned aerial vehicles (UAVs) at low Reynolds numbers and to highlight the differences to icing on manned aircraft at high Reynolds numbers. This paper follows existing research on low Reynolds number effects on ice accretion. This study extends the focus to how variations of airspeed and chord length affect the ice accretions, and aerodynamic performance degradation is investigated.

Design/methodology/approach
A parametric study with independent variations of airspeed and chord lengths was conducted on a typical UAV airfoil (RG-15) using icing computational fluid dynamic methods. FENSAP-ICE was used to simulate ice shapes and aerodynamic performance penalties. Validation was performed with two experimental ice shapes obtained from a low-speed icing wind tunnel. Three meteorological conditions were chosen to represent the icing typologies of rime, glaze and mixed ice. A parameter study with different chord lengths and airspeeds was then conducted for rime, glaze and mixed icing conditions.

Findings
The simulation results showed that the effect of airspeed variation depended on the ice accretion regime. For rime, it led to a minor increase in ice accretion. For mixed and glaze, the impact on ice geometry and penalties was substantially larger. The variation of chord length had a substantial impact on relative ice thicknesses, ice area, ice limits and performance degradation, independent from the icing regime.

Research limitations/implications
The implications of this manuscript are relevant for highlighting the differences between icing on manned and unmanned aircraft. Unmanned aircraft are typically smaller and fly slower than manned aircraft. Although previous research has documented the influence of this on the ice accretions, this paper investigates the effect on aerodynamic performance degradation. The findings in this work show that UAVs are more sensitive to icing conditions compared to larger and faster manned aircraft. By consequence, icing conditions are more severe for UAVs.

Practical implications
Atmospheric in-flight icing is a severe risk for fixed-wing UAVs and significantly limits their operational envelope. As UAVs are typically smaller and operate at lower airspeeds compared to manned aircraft, it is important to understand how the differences in airspeed and size affect ice accretion and aerodynamic performance penalties.

Originality/value
Earlier work has described the effect of Reynolds number variations on the ice accretion characteristics for UAVs. This work is expanding on those findings by investigating the effect of airspeed and chord length on ice accretion shapes separately. In addition, this study also investigates how these parameters affect aerodynamic performance penalties (lift, drag and stall).
Awareness and perception of medical genetic services among Malaysian parents of autism spectrum disorders children: the lessons to be learned
Authors: Amini Farahnaz , Yee Kok Wah , Soh Siew Chin , Alhadeethi Abdulateef , Amini Roya , Ng Edmond Siah Chye 
Published: June 2021

Purpose
Autism spectrum disorder (ASD) is a group of complex neurodevelopmental disorders with uncertain etiology. Evidence shows that genetic testing can explain about 20% of cases. This study aims to assess the level of awareness and perception of medical genetic services among Malaysian parents with ASD children.

Design/methodology/approach
A cross-sectional survey using an interviewer-administered questionnaire was done among 111 parents of children with ASD from August 2017 to September 2019 in two clinics in Malaysia.

Findings
A majority of children with ASD (80.20%) were male and diagnosed at the age of 3–4 years old (47.80%). When the autistic child was born, most mothers and fathers were aged 26–30 (40.50%) and 31–35 years old (42.30%), respectively. Another child with ASD in nuclear and extended families was reported for 11.70% and 13.50%, respectively. Only 24.30% have seen a professional genetic consultant, and 19.8% have done genetic testing for affected children. The mean score of awareness of genetic services for ASD was 2.48 ± 3.30. Having medical insurance and another child with ASD in the nuclear family was significantly associated with a higher level of awareness (p = 0.01 and p < 0.001, respectively). Most of the participants have a positive perception of these services.

Originality/value
Regardless of demographic factors, participants have poor awareness of genetic services for ASD, likely because the primary physician did not recommend it upon diagnosis. Increasing health-care providers’ knowledge about the current potential of genetic testing for ASD and educational campaigns for the public are critical components of using available genetic tests to improve ASD management.
Recognition and labeling of faults in wind turbines with a density-based clustering algorithm
Authors: Luo Shuai , Liu Hongwei , Qi Ershi 
Published: June 2021

PurposeThe purpose of this paper is to recognize and label the faults in wind turbines with a new density-based clustering algorithm, named contour density scanning clustering (CDSC) algorithm.Design/methodology/approachThe algorithm includes four components: (1) computation of neighborhood density, (2) selection of core and noise data, (3) scanning core data and (4) updating clusters. The proposed algorithm considers the relationship between neighborhood data points according to a contour density scanning strategy.FindingsThe first experiment is conducted with artificial data to validate that the proposed CDSC algorithm is suitable for handling data points with arbitrary shapes. The second experiment with industrial gearbox vibration data is carried out to demonstrate that the time complexity and accuracy of the proposed CDSC algorithm in comparison with other conventional clustering algorithms, including k-means, density-based spatial clustering of applications with noise, density peaking clustering, neighborhood grid clustering, support vector clustering, random forest, core fusion-based density peak clustering, AdaBoost and extreme gradient boosting. The third experiment is conducted with an industrial bearing vibration data set to highlight that the CDSC algorithm can automatically track the emerging fault patterns of bearing in wind turbines over time.Originality/valueData points with different densities are clustered using three strategies: direct density reachability, density reachability and density connectivity. A contours density scanning strategy is proposed to determine whether the data points with the same density belong to one cluster. The proposed CDSC algorithm achieves automatically clustering, which means that the trends of the fault pattern could be tracked.
Impact of internal and external CSR on organizational performance with moderating role of culture: empirical evidence from Chinese banking sector
Authors: Waheed Abdul , Zhang Qingyu , Zafar Abaid Ullah , Zameer Hashim , Ashfaq Muhammad , Nusrat Anam 
Published: June 2021

PurposeThis study investigates the impact of corporate social responsibility (CSR) on organizational performance, especially competitive performance (CP) along with moderating role of the organizational culture (OC) from the banking sector of China. Drawing on the stakeholder theory, the first goal is to examine the relationships between CSR and organizational CP. Second, the purpose is to evaluate the moderation of OC between the relationship of CSR and CP, respectively.Design/methodology/approachSEM using SmartPLS was majorly engaged to ascertain the relationship and to inquire the assumed hypotheses. The convenience sampling was engaged to collect the data from the Chinese banking market with the help of students, colleagues and personal visits.FindingsThe findings exhibited that CSR both external and internal CSR has significant correlations on organizational CP within banking sector of China. Second, the findings revealed a positive moderation influence of OC between the relationships of CSR and organizational CP. The comprehensive analysis of each factor of CSR on organizational CP was autonomously inspected to understand the insights which ensure that how the incorporation of CSR and OC activities may improve organizational CP.Research limitations/implicationsThis study faces numerous limitations related to sample and geographic locations that assure new work possibilities for researchers across the world.Practical implicationsThis study equips insightful information for management on how organizations can obtain CP by consolidating CSR and OC activities as their more productive strategic tools. This article endows with potential theoretical and managerial implications with empirical addition to concerned literature of OC, CSR and organizational CP.Social implicationsUnderstanding OC and CSR activities can provide interesting and helpful insights for the personnel to perform well within the banking institutes.Originality/valueThe topic of CSR and culture has been known as the evolving concept that is getting strong concern for the researchers. The additional work particularly empirical is yet required to explore the insights on CSR and OC themes worldwide, especially in developing nations.
Fabric defect detection based on multi-source feature fusion
Authors: Liu Zhoufeng , Liu Shanliang , Li Chunlei , Li Bicao 
Published: June 2021

PurposeThis paper aims to propose a new method to solve the two problems in fabric defect detection. Current state-of-the-art industrial products defect detectors are deep learning-based, which incurs some additional problems: (1) The model is difficult to train due to too few fabric datasets for the difficulty of collecting pictures; (2) The detection accuracy of existing methods is insufficient to implement in the industrial field. This study intends to propose a new method which can be applied to fabric defect detection in the industrial field.Design/methodology/approachTo cope with exist fabric defect detection problems, the article proposes a novel fabric defect detection method based on multi-source feature fusion. In the training process, both layer features and source model information are fused to enhance robustness and accuracy. Additionally, a novel training model called multi-source feature fusion (MSFF) is proposed to tackle the limited samples and demand to obtain fleet and precise quantification automatically.FindingsThe paper provides a novel fabric defect detection method, experimental results demonstrate that the proposed method achieves an AP of 93.9 and 98.8% when applied to the TILDA(a public dataset) and ZYFD datasets (a real-shot dataset), respectively, and outperforms 5.9% than fine-tuned SSD (single shot multi-box detector).Research limitations/implicationsOur proposed algorithm can provide a promising tool for fabric defect detection.Practical implicationsThe paper includes implications for the development of a powerful brand image, the development of “brand ambassadors” and for managing the balance between stability and change.Social implicationsThis work provides technical support for real-time detection on industrial sites, advances the process of intelligent manual detection of fabric defects and provides a technical reference for object detection on other industrialOriginality/valueTherefore, our proposed algorithm can provide a promising tool for fabric defect detection.
Dynamic drape behaviours of wool woven suiting fabrics considering real-time use
Authors: Balci Kilic Gonca , Demir Murat , Kilic Musa 
Published: June 2021

PurposeThe purpose of this paper is to analyse dynamic drape behaviours of 100% wool woven suiting fabrics considering real-time usage.Design/methodology/approachDynamic drape coefficients of 100% wool woven fabrics were measured at different rotation speeds (25, 75, 125 and 175 rpm) with a commercially used fabric drape tester which works on image processing principle. Average daily walking speed of male and female volunteers was determined and the closest rotation speed was selected to calculate dynamic drape coefficient at walking (DDCw). Besides, bending rigidity and shear deformation properties, which are known to be related to the static drape behaviours of the fabrics, were also measured and the relationships between these parameters and DDCw were examined.FindingsAs a result of the experimental study, it was found that dynamic drape coefficients become greater, which means the fabrics take flatter position, with the increase of the rotation speed. In addition, it was also seen that parameters known to be related to static drape behaviours such as unit weight and bending stiffness have less effect on the dynamic drapes of fabrics. For the estimation of dynamic drape behaviour of fabrics, parameters such as static perimeter, dynamic perimeter, etc. are found more significant.Originality/valueTo date, although studies about dynamic drape behaviours of the fabrics claimed that dynamic drape gives more realistic results for in wearer experience, few of them focused on the rotation speed of dynamic drape tester for real-time usage. As dynamic drape behaviours of fabrics may differ for different rotation speed, determining appropriate speed in accordance with real-time usage gives more realistic results.