bluuebunny/crossref_metadata_2025_split huggingface dataset:
EGGNet, a generalizable geometric deep learning framework for protein complex pose scoring
Authors: Wang Zichen , Brand Ryan , Adolf-Bryfogle Jared , Grewal Jasleen , Qi Yanjun , Combs Steven A. , Golovach Nataliya , Alford Rebecca , Rangwala Huzefa , Clark Peter M. 
Published: March 2023

AbstractComputational prediction of molecule-protein interactions has been key for developing new molecules to interact with a target protein for therapeutics development. Past work includes two independent streams of approaches: (1) predicting protein-protein interactions (PPI) between naturally occurring proteins and (2) predicting the binding affinities between proteins and small molecule ligands (aka drug target interaction, or DTI). Studying the two problems in isolation has limited the ability of these computational models to generalize across the PPI and DTI tasks, both of which ultimately involve non-covalent interactions with a protein target. In this work, we developed an Equivariant Graph of Graphs neural Network (EGGNet), a geometric deep learning framework for molecule-protein binding predictions that can handle three types of molecules for interacting with a target protein: (1) small molecules, (2) synthetic peptides and (3) natural proteins. EGGNet leverages a graph of graphs (GoGs) representation constructed from the molecule structures at atomic-resolution and utilizes a multi-resolution equivariant graph neural network (GNN) to learn from such representations. In addition, EGGNet leverages the underlying biophysics and makes use of both atom- and residue-level interactions, which improve EGGNet’s ability to rank candidate poses from blind docking. EGGNet achieves competitive performance on both a public proteinsmall molecule binding affinity prediction task (80.2% top-1 success rate on CASF-2016) and an synthetic protein interface prediction task (88.4% AUPR). We envision that the proposed geometric deep learning framework can generalize to many other protein interaction prediction problems, such as binding site prediction and molecular docking, helping accelerate protein engineering and structure-based drug development.
Identification of a Novel PARP14 Site Motif and Glycohydrolase Specificity Using TLC-MALDI-TOF
Authors: Javed Zeeshan , Nguyen Hannah H. , Harker Kiana , Mohr Christian M. , Vano Pia , Wallace Sean R. , Silvers Clarissa , Sim Colin , Turumella Soumya , Flinn Ally , Carter-O’Connell Ian 
Published: March 2023

ABSTRACTTransfer of ADP-ribose (ADPr) from nicotinamide adenine dinucleotide (NAD+) to target proteins is mediated by a class of human poly-ADP-ribose polymerases, PARPs, and removal of ADPr is catalyzed by a family of glycohydrolases. Although thousands of potential ADPr modification sites have been identified using high-throughput mass-spectrometry, relatively little is known about sequence specificity encoded near the modification site. Herein, we present a matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) method that facilitates the discovery and validation of ADPr site motifs. We identify a minimal 5-mer peptide sequence that is sufficient to drive PARP14 specific activity while highlighting the importance of the adjacent residues in PARP14 targeting. We measure the stability of the resultant ester bond and show that non-enzymatic removal is sequence independent and occurs within hours. Finally, we use the ADPr—peptide to highlight differential activities within the glycohydrolase family and their sequence specificities. Our results highlight: 1) the utility of MALDI-TOF in motif discovery and 2) the importance of peptide sequence in governing ADPr transfer and removal.
An analog of Titchmarsh's theorem for the Laguerre–Bessel transform
Authors: Rakhimi Larbi , Daher Radouan 
Published: March 2023

PurposeUsing a generalized translation operator, this study aims to obtain a generalization of Titchmarsh's theorem for the Laguerre–Bessel transform for functions satisfying the ψ-Laguerre–Bessel–Lipschitz condition in the space L2α (K), where K=0,+∞×0,+∞[.Design/methodology/approachThe author has employed the results developed by Titchmarsh, of reference number [1].FindingsIn this paper, an analogous of Titchmarsh's theorem is established for Laguerre–Bessel transform.Originality/valueTo the best of the authors’ findings, at the time of submission of this paper, the results reported are new and interesting.
Structural performance of buried reinforced concrete pipelines under deep embankment soil
Authors: Almasabha Ghassan , Shehadeh Ali , Alshboul Odey , Al Hattamleh Omar 
Published: March 2023

Purpose
Buried pipelines under various soil embankment heights are cost-effective alternatives to transporting liquid products. This paper aims to assist pipeline architects and professionals in selecting the most cost-effective buried reinforced concrete pipelines under deep embankment soil with minor structural reinforcement while meeting shear stress requirements, safety and reliability constraints.

Design/methodology/approach
It is unfeasible to experimentally assess pipeline efficiency with high soil fill depth. Thus, to fill this gap, this research uses a dependable finite element analysis (FEA) to conduct a parametric study and carry out such an issue. This research considered reinforced concrete pipes with diameters of 25, 50, 75, 100, 125 and 150 cm at depths of 5, 10, 15 and 20 m.

Findings
According to this research, the proposed best pipeline diameter-to-thickness (D/T) proportions for soil embankment heights 5, 10, 15 and 20 m are 8.75, 4.8, 3.5 and 3.1, correspondingly. The cost-effective reinforced concrete (RC) pipeline thickness dramatically rises if the soil embankment reaches 20 m, indicating that the soil embankment depth highly influences it. Most of the analyzed reinforced concrete pipelines had a maximum deflection value of less than 1 cm, telling that the FEA accurately identified the pipeline width, needed flexural steel reinforcement, and concrete crack width while avoiding significant distortion.

Originality/value
The cost-effective thickness for the analyzed structured concrete pipes was calculated by considering the lowest required value of steel reinforcement. An algorithm was developed based on the parametric scientific findings to predict the ideal pipeline D/T ratio. A construction case study was also shown to assist architects and professionals in determining the best reinforced concrete pipeline geometry for a specific soil embankment height.
Stay ahead: CEO education and entry timing within industry merger waves
Authors: Tang Meiling , Zhao Xi , Li Xiangyu , Niu Xiaotong 
Published: March 2023

Purpose
This study aims to explore the effect of chief executive officer education on firms’ action timing and acquisition performance in industry merger waves. In addition, this study investigated the moderating influence of CEO duality and firm cash flow on the relationship between education and entry timing.

Design/methodology/approach
Following the methodology for determining merger waves in previous studies, the authors identified 16 industry merger waves of Chinese listed firms from 2008 to 2019. Multiple linear regression was employed to examine the hypotheses.

Findings
The results showed that higher CEO education was associated with early participation in merger waves. CEO duality negatively moderated the education-entry timing relation. The effect of CEO education on entry timing was more pronounced when firms had higher cash flow. Moreover, more educated CEOs materially enhanced acquisition performance in merger waves.

Originality/value
Entry timing in industry merger waves has important implications, as early movers establish competitive advantages and achieve higher acquisition performance. However, the managerial characteristics determining entry timing have not received adequate attention. Meanwhile, studies examining the effect of CEO education on acquisitions are limited. This study explored the effect of CEO education on firms’ entry timing and acquisition performance in merger waves, thereby contributing to the literature on merger waves and managerial characteristics. This study’s findings regarding the moderators of the education-entry timing relation enrich the literature on corporate governance and agency theory.
An exploration of perceptions and use of misinformation on the social Web in Oman
Authors: Shehata Ahmed Maher Khafaga , Al-Suqri Mohammed Nasser , Alsalmi Jamal , Osman Nour Eldin , Alrashdi Said , Khalaf Mustafa Ali 
Published: March 2023

Purpose
The purpose of this study is to investigate individuals’ perceptions and behavior when dealing with misinformation on social media platforms. While misinformation is not a new phenomenon, the COVID-19 outbreak has accelerated its spread through social media outlets, leading to widespread exposure to false or misleading information. This exposure can have serious consequences on individuals’ decision-making and behavior, especially when it comes to critical decisions related to education or healthcare. The use of social media as a source of information makes it essential to understand how people perceive and respond to misinformation to develop effective strategies for mitigating its harmful effects.

Design/methodology/approach
This large-scale study explores the Omani individuals’ perceptions and behaviour of misinformation on the social Web in a series of studies that seek to enhance the authorities’ response to misinformation. The study adopted a quantitative approach to collect data. Using WhatsApp as a social networking platform, a survey was disseminated to capture participants’ perceptions and behaviour among different segments of citizens in Oman.

Findings
The findings showed that Omani participants have high verification skills, implying high information literacy skills among them. Additionally, results indicated that misinformation had created doubt and anxiety among the participants. Moreover, it hindered many participants’ ability to take countermeasures and obtain reliable data.

Originality/value
This study was a large-scale study conducted in Oman, making it one of a few studies conducted in the region about perceptions and behaviour towards misinformation. The findings help to understand how different cultures interacted with COVID-19 misinformation. In addition, these findings offer useful insight that can help health information professionals to design preventive resources that help people to obtain accurate information during crises.
Research engagement and research capacity building: a priority for healthcare organisations in the UK
Authors: Peckham Stephen , Zhang Wenjing , Eida Tamsyn , Hashem Ferhana , Kendall Sally 
Published: March 2023

PurposeTo research involvement of healthcare staff in the UK and identify practical organisational and policy solutions to improve and boost capacity of the existing workforce to conduct research.Design/methodology/approachA mixed-method study presenting three work packages here: secondary analysis of levels of staff research activity, funding, academic outputs and workforce among healthcare organisations in the United Kingdom; 39 Research and Development lead and funder interviews; an online survey of 11 healthcare organisations across the UK, with 1,016 responses from healthcare staff included for analysis; and 51 interviews of healthcare staff in different roles from six UK healthcare organisations.FindingsInterest in research involvement is strong and widespread but hampered by a lack of systematic organisational support despite national policies and strategies to increase staff engagement in research. While useful, these external strategies have limited universal success due to lack of organisational support. Healthcare organisations should embed research within organisational and human resources policies and increase the visibility of research through strategic organisational goals and governance processes. A systems-based approach is needed.Research limitations/implicationsThe research gathered data from a limited number of NHS trusts but these were purposively sampled to provide a range of different acute/community health service organisations in different areas. But data was therefore more detailed and nuanced due to a more in-depth approach.Practical implicationsThe findings are relevant for developing policies and practice within healthcare organisations to support research engagement. The findings also set out key policy and strategic recommendations that will support greater research engagement.Social implicationsIncreased research activity and engagement in healthcare providers improves healthcare outcomes for patients.Originality/valueThis is a large scale (UK-wide) study involving a broad range of healthcare staff, with good engagement of nurses, midwives and Allied Healthcare Professionals who have not been previously achieved. This allowed valuable analysis of under-researched groups and comparisons by professional groups. The findings highlight the need for tailored action to embed research reporting, skills, professional development and infrastructure into organisational policies, strategies and systems, along with broader system-wide development.
Biculturals in international business negotiations: moving away from the single culture paradigm
Authors: Khakhar Priyan , Rammal Hussain Gulzar , Pereira Vijay 
Published: March 2023

PurposeBiculturals possess higher cultural intelligence than monocultural individuals. This study explores biculturals' key factors and attributes and how their cultural knowledge and identification influence International Business Negotiations (IBNs) and help their firms outperform others.Design/methodology/approachData were collected from semi-structured interviews with 35 bicultural senior managers in Lebanon.FindingsThe findings highlight three essential qualities and behaviors that allow biculturals to act as a bridge between the parties during IBN: adaptability, cultural frame switching (CFS) and creativity.Originality/valueThis study explores the notion of bicultural personnel using their understanding of multiple cultures to be innovative, avoid groupthink and generate new creative ideas that help overcome stalemates during IBNs.
SME internationalisation: past, present and future trends
Authors: Fernandes Cristina , Veiga Pedro Mota , Gerschewski Stephan 
Published: March 2023

PurposeSmall- and medium-sized enterprises (SMEs) generally make a crucial contribution to local and national economies. As the market has become increasingly globalised over the past two decades, SMEs often feel the need and/or push to internationalise their business activities. It is in this need that several barriers and challenges are perceived by SMEs, since these companies generally have different characteristics and resources compared to large multinational enterprises (MNEs). Accordingly, given that the literature on internationalisation is rather extensive and relatively fragmented, this study seeks to systematically understand the scientific structure of research on the internationalisation of SMEs, and how it is organised.Design/methodology/approachThe authors used a bibliometric approach and data co-citation to identify and systematise the scientific publications, intellectual structures and research trends related to SME internationalisation.FindingsThe study research reveals five approaches that theoretically support the internationalisation processes of SMEs: (1) internationalisation and networks; (2) internationalisation and venture capital; (3) internationalisation and intrinsic characteristics; (4) internationalisation and transactional costs; and (5) internationalisation and firm resources and capabilities.Originality/valueThis study has important implications for academics and practitioners who are likely to benefit from a holistic understanding of the different aspects of SME internationalisation.
Unintended change of ownership structure and acquisition of IJVs: the effect of initial structural conditions
Authors: Aib Hamza , Liouville Jacques , Merchant Hemant 
Published: March 2023

Purpose
The purpose of this study is to demonstrate the effect of initial international joint ventures (IJV) structural conditions on two main equity-based instability facets: change of IJV ownership structure and acquisition of the IJV by one of the IJV partners. Drawing on the transaction cost theory, the authors examine three key initial structural conditions: IJV formation mode, number of partners and IJV’s ownership structure.

Design/methodology/approach
The authors apply the “Event history analysis” technique to test the hypotheses using a data set of 140 French-foreign JVs.

Findings
The findings show that the mode of an acquisitive IJV and unequal equity positions held by partners increase the likelihood of a change of IJV’s ownership structure and its eventual acquisition by one of the partners. In addition, the findings show that while an increase in the number of IJV partners is directly related to the change of IJV ownership structure, it has a statistically insignificant effect on IJV acquisition.

Originality/value
Drawing on “transaction costs” arguments, this study advances the literature by offering fine-grained results related to the effects of initial structural conditions on aspects of unintended instability in French-foreign JVs.
Implementation and performance analysis of a novel sliding mode controller for bidirectional DC to DC converter in aircraft application
Authors: Karvekar Aditi Sushil , Joshi Prasad 
Published: March 2023

Purpose
The purpose of this paper is to implement a closed loop regulated bidirectional DC to DC converter for an application in the electric power system of more electric aircraft. To provide a consistent power supply to all of the electronic loads in an aircraft at the desired voltage level, good efficiency and desired transient and steady-state response, a smart and affordable DC to DC converter architecture in closed loop mode is being designed and implemented.

Design/methodology/approach
The aircraft electric power system (EPS) uses a bidirectional half-bridge DC to DC converter to facilitate the electric power flow from the primary power source – an AC generator installed on the aircraft engine’s shaft – to the load as well as from the secondary power source – a lithium ion battery – to the load. Rechargeable lithium ion batteries are used because they allow the primary power source to continue recharging them whenever the aircraft engine is running smoothly and because, in the event that the aircraft engine becomes overloaded during takeoff or turbulence, the charged secondary power source can step in and supply the load.

Findings
A novel nonsingular terminal sliding mode voltage controller based on exponential reaching law is used to keep the load voltage constant under any of the aforementioned circumstances, and its performance is contrasted with a tuned PI controller on the basis of their respective transient and steady-state responses. The former gives a faster and better transient and steady-state response as compared to the latter.

Originality/value
This research gives a novel control scheme for incorporating an auxiliary power source, i.e. rechargeable battery, in more electric aircraft EPS. The battery is so implemented that it can get regeneratively charged when primary power supply is capable of handling an additional load, i.e. the battery. The charging and discharging of the battery is carried out in closed loop mode to ensure constant battery terminal voltage, constant battery current and constant load voltage as per the requirement. A novel sliding mode controller is used to improve transient and steady-state response of the system.
RNA sequencing analysis reveals the role of choline acetyltransferase in regulating development, reproduction, and insecticide susceptibility in Tribolium castaneum (Coleoptera: Tenebrionidae)
Authors: Gao Shanshan , Zhang Xinyi , Huo Zhuangkun , Wang Chenbo , Gao Tian , Li Ruimin , Zhang Kunpeng 
Published: March 2023

AbstractCholine acetyltransferase (Tcchat) is essential for metamorphosis, reproduction, and susceptibility to insecticide in Tribolium castaneum. However, the mechanisms through which Tcchat contributes to these biological processes remain poorly understood. Here we report the findings of RNA sequencing‐based transcriptome profiling of T. castaneum following RNA interference against Tcchat. In all, 173 differentially expressed genes were identified: 120 upregulated genes and 53 downregulated genes. Gene Ontology analysis classified the genes into 30 functional groups. Kyoto Encyclopedia of Genes and Genomes pathway analysis showed that the genes were distributed over 22 different pathways. Silencing Tcchat reduced the activity of endopeptidase and inhibited regulation of protein decomposition in the beetles. Hence, knockdown of Tcchat inhibited the synthesis of chitinase and serine protease, which disturbed embryonic development in T. castaneum, thus affecting its development and reproduction. RNA interference of Tcchat also suppressed the synthesis of cytochrome P450 in the extracellular region and adversely affected normal functioning of the lysosomal pathway, which might have hindered the insects' ability to recognize, phagocytose, and degrade exogenous toxic substances, resulting in increased mortality. Furthermore, knockdown of Tcchat increased the susceptibility of larvae to carbamate and organophosphate insecticides, which supports the notion that Tcchat is indeed involved in susceptibility to insecticide in T. castaneum. Finally, Tcchat knockdown adults showed progressively reduced locomotor activity. These results provide novel insights into biological processes affected by Tcchat and provide a potential theoretical basis for the biological control of T. castaneum.
The effect of the purslane polyphenols on the structure of rabbit meat myofibrillar protein under malondialdehyde‐induced oxidative stress
Authors: Chen Xiaosi , He Zhifei , Wang Zefu , Li Hongjun 
Published: March 2023

AbstractThe present research aimed to assess the protective effects of purslane polyphenols on rabbit meat myofibrillar protein (MP) under malondialdehyde (MDA)‐induced oxidation. The major polyphenols in purslane extract were analyzed by ultrahigh performance liquid chromatography‐quadrupole time‐of‐flight mass spectrometry (UPLC‐QTOF‐MS). To analyze the protective mechanism of purslane polyphenol monomers on MP in the oxidation system, we determined the retained MDA content in the suspension and analyzed the structure and nuclear magnetic resonance (NMR) of MP. The UPLC‐QTOF‐MS identification analysis indicated that purslane polyphenols mainly contained chlorogenic acid, caffeic acid, ferulic acid, rutin, kaempferol, and quercetin. Polyphenols in purslane can prevent MDA from binding to MP effectively. Chlorogenic acid showed the best inhibitory effect, and the retention content of MDA decreased to 54.79%, which was significantly lower than those of other groups. Purslane polyphenols had protective effects on sulfhydryl groups, free amino groups, intrinsic tryptophan fluorescence, α‐helix structure, and morphology of MP. Moreover, the carbonyl contents, increase in surface hydrophobicity, and random coil contents of MP were reduced. In addition, the NMR results indicated that polyphenols inhibited the oxidation of protein induced by MDA through competitive inhibition.Practical ApplicationThis study showed the efficiency of purslane polyphenol monomers in protecting the structure and function of myofibrillar protein under malondialdehyde‐induced oxidative stress and their potential to preserve the nutritional value of foods rich in proteins and lipids.