bluuebunny/crossref_metadata_2025_split huggingface dataset:
Does ivermectin treatment for endemic hookworm infection alter the gut microbiota of endangered Australian sea lion pups?
Authors: Fulham Mariel , Power Michelle , Gray Rachael 
Published: September 2022

AbstractThe gut microbiota is essential for the development and maintenance of the hosts’ immune system, and disturbances can impact host health. This study aimed to determine if topical ivermectin treatment for endemic hookworm (Uncinaria sanguinis) infection in Australian sea lion (Neophoca cinerea) pups causes gut microbial changes. The gut microbiota was characterised for untreated (control) (n=23) and treated (n=23) pups sampled during the 2019 and 2020/21 breeding seasons at Seal Bay, Kangaroo Island. Samples were collected pre- and post-treatment on up to four occasions. The gut microbiota of both untreated (control) and treated pups was dominated by five bacterial phyla, Fusobacteria, Firmicutes, Proteobacteria, Actinobacteria and Bacteroides. There was a significant difference in alpha diversity between treatment groups in 2020/21 (p = 0.008), with greater diversity in treated pups. Modelling the impact of host factors on beta diversity revealed that pup ID accounted for most of the variation with pup ID, age and capture being the only significant contributors to microbial variation (p < 0.05). There were no statistically significant differences in microbial composition between treatment groups in both breeding seasons, indicating that ivermectin treatment did not alter microbial composition. To our knowledge, this is the first study to consider the impact of parasitic treatment on overall diversity and composition of the gut microbiota. Importantly, the lack of compositional changes in the gut microbiota with topical treatment support the utility of topical ivermectin as a safe and minimally invasive management strategy to enhance pup survival in this endangered species.ImportanceDisturbances to the gut microbiota in early life stages can have life-long impacts on host health. Australian sea lions are endangered and declining, and pups are endemically infected with hookworm (Uncinaria sanguinis) which contributes to pup mortality. Treatment with topical ivermectin has been shown to effectively eliminate hookworm infection and to improve pup health, but the impact on the gut microbiota was previously unknown, representing a key knowledge gap. The results from this study show that topical ivermectin treatment does not alter the gut microbiota of Australian sea lion pups, indicating that it is a safe and minimally invasive treatment that can aid in disease mitigation and conservation of this endangered species.
Gene amplifications cause high-level resistance against albicidin in Gram-negative bacteria
Authors: Saathoff Mareike , Kosol Simone , Semmler Torsten , Tedin Karsten , Dimos Nicole , Kupke Johannes , Seidel Maria , Ghazisaeedi Fereshteh , Wolf Silver A. , Kuropka Benno , Czyszczoń Wojciech , Ghilarov Dmitry , Grätz Stefan , Heddle Jonathan G. , Loll Bernhard , Süssmuth Roderich D. , Fulde Marcus 
Published: September 2022

AbstractAntibiotic resistance is a continuously increasing concern for public health care. Understanding resistance mechanisms and their emergence is crucial for the development of new antibiotics and their effective use. Here, we report the discovery of a gene amplification-based mechanism that imparts an up to 1000-fold increase in resistance levels against the antibiotic albicidin. We show that this mechanism protects Salmonella Typhimurium and Escherichia coli by increasing the copy number of the GyrI-like transcription regulator STM3175 (YgiV) which binds albicidin. X-ray crystallography and molecular docking studies reveal a conserved binding motif that can interact with aromatic building blocks of albicidin. Phylogenetic studies suggest that this resistance mechanism is ubiquitous in Gram-negative bacteria and our experiments confirm that STM3175 homologs can convey resistance in pathogens such as Vibrio vulnificus and Pseudomonas aeruginosa.
O-Linked Sialoglycans Modulate the Proteolysis of SARS-CoV-2 Spike and Likely Contribute to the Mutational Trajectory in Variants of Concern
Authors: Gonzalez-Rodriguez Edgar , Zol-Hanlon Mia , Bineva-Todd Ganka , Marchesi Andrea , Skehel Mark , Mahoney Keira E. , Roustan Chloë , Borg Annabel , Di Vagno Lucia , Kjaer Svend , Wrobel Antoni G. , Benton Donald J. , Nawrath Philipp , Flitsch Sabine L. , Joshi Dhira , González-Ramírez Andrés Manuel , Wilkinson Katalin A. , Wilkinson Robert J. , Wall Emma C. , Hurtado-Guerrero Ramón , Malaker Stacy A. , Schumann Benjamin 
Published: September 2022

ABSTRACTThe emergence of a polybasic cleavage motif for the protease furin in the SARS-CoV-2 spike protein has been established as a major factor for enhanced viral transmission in humans. The peptide region N-terminal to that motif is extensively mutated in major variants of concern including Alpha, Delta and Omicron. Besides furin, spike proteins from these variants appear to rely on other proteases for maturation, including TMPRSS2 that may share the same cleavage motif. Glycans found near the cleavage site have raised questions about proteolytic processing and the consequences of variant-borne mutations. Here, with a suite of chemical tools, we establish O-linked glycosylation as a major determinant of SARS-CoV-2 spike cleavage by the host proteases furin and TMPRSS2, and as a likely driving force for the emergence of common mutations in variants of concern. We provide direct evidence that the glycosyltransferase GalNAc-T1 primes glycosylation at Thr678 in the living cell, and this glycosylation event is suppressed by many, but not all variant mutations. A novel strategy for rapid bioorthogonal modification of Thr678-containing glycopeptides revealed that introduction of a negative charge completely abrogates furin activity. In a panel of synthetic glycopeptides containing elaborated O-glycans, we found that the sole incorporation of N-acetylgalactosamine did not substantially impact furin activity, but the presence of sialic acid in elaborated O-glycans reduced furin rate by up to 65%. Similarly, O-glycosylation with a sialylated trisaccharide had a negative impact on spike cleavage by TMPRSS2. With a chemistry-centered approach, we firmly establish O-glycosylation as a major determinant of spike maturation and propose that a disruption of O-GalNAc glycosylation is a substantial driving force for the evolution of variants of concern.Abstract Figure
Five factors affecting the on-body placement of wearable tactile safety promotion device for construction workers-on-foot
Authors: Yadav Neeraj , Sadeghi Neda , Kang Julian 
Published: September 2022

Purpose
Tactile communication that relies on the human sense of touch replicated using vibration motors is increasingly being explored for seamless communication on construction jobsite. However, the technological efficacy cannot secure the users’ acceptability of the tactile communication devices. This study aims to assess the factors affecting the wearability of such a portable tactile device based on the responses from practicing professionals.

Design/methodology/approach
The investigation adapted a three-step phenomenological interviewing approach to seek feedback from construction personnel in Texas, the USA, regarding the viability of wearable tactile communication. The interviewees expressed various opinions about the on-body placement upon exposure to a portable tactile feedback prototype developed for this study, which was used to derive inferences regarding the factors affecting its on-field acceptability.

Findings
All the participants of the round-table study (11 out of 11) considered tactile feedback as a viable mode of communication on construction jobsite. Seven professionals supported the integration of a tactile device with the hard hat, whereas the rest preferred tactile eyeglasses. Weatherability, rechargeability, traceability, safety and social receptivity were identified as the major factors affecting the on-body placement of the wearable tactile communication device.

Originality/value
This paper presents a roadmap to gain construction industry opinion on the factors that can affect the on-body placement of a wearable tactile communication device. The five aforementioned factors impacting tactile communication acceptability were used to evaluate 10 potential on-body placements. The findings have implications for research and development of wearable tactile devices and the subsequent acceptability of such a device on the jobsite.
Natural-born peacemakers? Big five personality traits, gender, and interpersonal peacemaking
Authors: Zhang Xiaolei , Bollen Katalien , Peng Kaiping , Euwema Martin C. 
Published: September 2022

Purpose
This study aims to investigate the relationship between personality, gender and interpersonal peacemaking. Peacemaking is considered as voluntary behavior of team members to help conflicting peers in an impartial way, to find an amicable solution. This study tests the relation between the Big Five personality dimensions, gender and five different components of interpersonal peacemaking (general involvement in peacemaking, multipartiality, focus of finding solutions, emotional support and the use of humor).

Design/methodology/approach
In total, 503 participants filled out a survey assessing their personality and peacemaking behavior at work. To test the hypotheses, this study conducted structural equation modeling in AMOS 22.0.

Findings
In line with expectations, openness, extraversion and agreeableness related positively to most peacemaking components, while conscientiousness and neuroticism related negatively to the use of humor and peacemakers’ multipartiality, respectively; comparing men and women, women engage more often in peacemaking in general and in emotional support, and use less humor than men. Results also showed that these gender differences are partially mediated by agreeableness being higher for women.

Originality/value
To the best of the authors’ knowledge, this is one of the first studies exploring the relationship between personality (Big Five), gender and different aspects of interpersonal peacemaking. Peacemaking is an important, however understudied, behavior in teams and part of OCB. The promotion of peacemaking contributes to team effectiveness.
College students are pro-environment but lack sustainability knowledge: a study at a mid-size Midwestern US university
Authors: Null Dawn Christina , Asirvatham Jebaraj 
Published: September 2022

Purpose
The purpose of this study is to examine the differences in sustainability knowledge, behaviors and attitudes among college students and to estimate the influence of knowledge of sustainability on students’ sustainable behaviors.

Design/methodology/approach
A cross-sectional online survey was used to collect quantitative data on sustainability knowledge, behaviors and attitudes among 291 undergraduate college students at a mid-size Midwestern US university. This study used a structural equation model to answer the research questions.

Findings
In all, 291 students completed a sustainability attitudes and behaviors survey. The results of this study show sustainability knowledge is poor (average score 5.3/10). Statistical modeling indicates positive influence of economic attitudes on sustainable behaviors; however, ecology and social attitudes were not associated with sustainable behaviors. Furthermore, those with greater sustainable knowledge engaged in fewer sustainable behaviors.

Practical implications
Sustainability and/or wellness initiatives can provide education targeting actionable behaviors college students can make to reduce their carbon footprint, including washing clothes in cold water, limiting red meat consumption, recycling, reducing food waste and taking shorter showers. Sustainability initiatives such as organizing a recycling competition and coordinating volunteers for local clean-up days and events such as Earth Day celebrations offer opportunities for collaboration between campus departments and engagement and socialization among students, staff and faculty. The inclusion of sustainability in college curricula may increase students’ knowledge, develop critical thinking skills and self-efficacy related to sustainability and promote climate action.

Originality/value
First, this study adds to the literature in terms of the use of structural equation modeling. Second, this study’s results indicate a dissociation between positive sustainable attitudes as they relate to sustainable behaviors. Why is it that students think the environment is important yet do not place importance on sustainable behaviors? These issues are highly relevant and present opportunities for future research and interventions aimed at increasing sustainable behaviors.
Fake news detection on Twitter
Authors: Sharma Srishti , Saraswat Mala , Dubey Anil Kumar 
Published: September 2022

Purpose
Owing to the increased accessibility of internet and related technologies, more and more individuals across the globe now turn to social media for their daily dose of news rather than traditional news outlets. With the global nature of social media and hardly any checks in place on posting of content, exponential increase in spread of fake news is easy. Businesses propagate fake news to improve their economic standing and influencing consumers and demand, and individuals spread fake news for personal gains like popularity and life goals. The content of fake news is diverse in terms of topics, styles and media platforms, and fake news attempts to distort truth with diverse linguistic styles while simultaneously mocking true news. All these factors together make fake news detection an arduous task. This work tried to check the spread of disinformation on Twitter.

Design/methodology/approach
This study carries out fake news detection using user characteristics and tweet textual content as features. For categorizing user characteristics, this study uses the XGBoost algorithm. To classify the tweet text, this study uses various natural language processing techniques to pre-process the tweets and then apply a hybrid convolutional neural network–recurrent neural network (CNN-RNN) and state-of-the-art Bidirectional Encoder Representations from Transformers (BERT) transformer.

Findings
This study uses a combination of machine learning and deep learning approaches for fake news detection, namely, XGBoost, hybrid CNN-RNN and BERT. The models have also been evaluated and compared with various baseline models to show that this approach effectively tackles this problem.

Originality/value
This study proposes a novel framework that exploits news content and social contexts to learn useful representations for predicting fake news. This model is based on a transformer architecture, which facilitates representation learning from fake news data and helps detect fake news easily. This study also carries out an investigative study on the relative importance of content and social context features for the task of detecting false news and whether absence of one of these categories of features hampers the effectiveness of the resultant system. This investigation can go a long way in aiding further research on the subject and for fake news detection in the presence of extremely noisy or unusable data.
Motives of the self and brand hate
Authors: Sharma Isha , Jain Kokil , Behl Abhishek 
Published: September 2022

Purpose
Consumer–brand relationship literature has seen a recent surge of work on the concept of brand hate. Considering that hate is not easily acknowledged, it is challenging to uncover the psychological mechanisms that underpin its development. Using the concept of “self” as over-arching theory, this study aims to uncover consumers’ psychological triggers for hating a brand by providing contextualized perspectives from the informants.

Design/methodology/approach
The authors use an interpretive approach focused on exploring the role of self in explaining the development of brand hate. Data is collected through 25 in-depth interviews and inductively analysed using the NVivo 12.

Findings
The findings of the study align with the motivational perspective of hate discussed in psychology literature. Six psychological strategies (coping, moral consciousness, ego defense, self-esteem protection, power reinstatement, and self-concept strengthening) cater to three motives of the self (self-preservation, self-defense, and self-enhancement).

Originality/value
The current study uses an interdisciplinary approach and draws perspectives from psychology, sociology and interpersonal relationship theories to study consumer brand hate. It uncovers the subconscious mechanisms that lead to the germination of brand hate and provides answers to unexplained and missing pieces in the existing literature. In particular, it offers a detailed perspective on how self-related motives can explain the psychology of brand hate.
Servant leadership in relation to organizational justice and workplace deviance in public hospitals
Authors: Yasir Muhammad , Jan Azeem 
Published: September 2022

PurposeLeadership literature has identified that the servant leadership style can reduce employee negative work outcomes, even in challenging work environments like the health-care sector as nurses play an important role in the performance of a hospital. That is why, the efficiency and effectiveness of the nurses are believed to be directly linked to improved health benefits to the public. So, this study aims to investigate the inter-relationship between servant leadership, organizational justice and workplace deviance of nurses in public sector hospitals.Design/methodology/approachA self-administrated questionnaire using a drop-and-collect method was used for collecting the data from nurses working in the public sector hospitals of Pakistan using a convenient sampling technique. In total, 370 questionnaires were distributed among the nursing staff, of which 201 completed and usable questionnaires were returned and used for data analysis. Further, the partial least squares structural equation modeling approach is used in this study using SmartPLS version 3 software to test the hypothesized model and determine the direct and indirect effects.FindingsResults showed a negative relationship between servant leadership and workplace deviance, positive relationship between servant leadership and organizational justice, negative relationship between organizational justice and workplace deviance and that organizational justice mediates in the relationship between servant leadership and workplace deviance.Practical implicationsThis study provides valuable recommendations and practical implications to address the nurses’ deviant workplace behaviors in the public sector hospitals of Pakistan.Originality/valueThis study is novel as it shows the significance of servant leadership behavior which has the ability to positively influence organizational justice perception leading to less likelihood of the emergence of nurses’ deviant workplace behavior, specifically in the context of public sector hospitals of Pakistan.
The actuation performance of a piezoelectric laminated plate actuator via Galerkin method
Authors: Mao Chenyang , Zhou Bo , Xue Shifeng 
Published: September 2022

PurposePiezoelectric materials are widely used as actuators, due to the advantages of quick response, high sensitivity and linear strain-electric field relationship. The previous work on the piezoelectric material plate structures is not enough; however, such structures play a very important role in the practical design. In this paper, the actuation performance of piezoelectric laminated plate actuator (PLPA) is analyzed based on Galerkin method to parametric study the shape control.Design/methodology/approachIn this paper, the actuation performance of PLPA is analyzed based on Galerkin method to parametric study the shape control. The stress components of the matrix plate are formulated based on electro-mechanical coupling theory and Kirchhoff's classical laminated plate theory. The effectiveness of the developed method is validated by the comparison with finite element method.FindingsThe actuation performance of PLPA and its influencing factors are numerically analyzed through the developed method. The deflection of PLPA is reasonably increased by optimizing the electric fields, the piezoelectric patch and the matrix plate.Originality/valueThe Galerkin method can be used for engineering applications more easily, and it does not require to rebuild the calculation model as finite element method during the calculation and analysis of PLPA. This paper is a valuable reference for the design and analysis of PLPAs.
Machine learning for conservation of architectural heritage
Authors: Karadag İlker 
Published: September 2022

PurposeAccurate documentation of damaged or destroyed historical buildings to protect cultural heritage has been on the agenda of architecture for many years. In that sense, this study uses machine learning (ML) to predict missing/damaged parts of historical buildings within the scope of early ottoman tombs.Design/methodology/approachThis study uses conditional generative adversarial networks (cGANs), a subset of ML to predict missing/damaged parts of historical buildings within the scope of early Ottoman tombs. This paper discusses that using GAN as a ML framework is an efficient method for estimating missing/damaged parts of historical buildings. The study uses the plan drawings of nearly 200 historical buildings, which were prepared one by one as a data set for the ML process.FindingsThe study contributes to the field by (1) generating a mixed methodological framework, (2) validating the effectiveness of the proposed framework in the restitution of historical buildings and (3) assessing the contextual dependency of the generated data. The paper provides insights into how ML can be used in the conservation of architectural heritage. It suggests that using a comprehensive data set in the process can be highly effective in getting successful results. The findings of the research will be a reference for new studies on the conservation of cultural heritage with ML and will make a significant contribution to the literature.Research limitations/implicationsA reliable outcome has been obtained concerning the interpretation of documented data and the generation of missing data at the macro level. The framework is remarkably effective when it comes to the identification and re-generation of missing architectural components like walls, domes, windows, doors, etc. on a macro level without details. On the other hand, the proposed methodological framework is not ready for advanced steps of restitution since every case of architectural heritage is very detailed and unique. Therefore, the proposed framework for re-generation of missing components of heritage buildings is limited by the basic geometrical form which means the architectural details of the mentioned components including ornaments, materials, identification of construction layers, etc. are not covered.Originality/valueThe generic literature as to ML models used in architecture mostly constitutes design exploration and floor plan/urban layout generation. More specific studies in the conservation of architectural heritage by using ML mostly focus on architectural component recognition over 3D point cloud data (1) or superficial damage detection of heritage buildings (2). However, we propose a mixed methodological framework for the interpretation of documented architectural data and the regeneration of missing parts of historical buildings. In addition, the methodology and the results of this paper constitute a guide for further research on ML and consequently contribute to architects in the early phases of restitution.