bluuebunny/crossref_metadata_2025_split huggingface dataset:
Systematic study of hybrid triplex topology and stability suggests a general triplex-mediated regulatory mechanism
Authors: Genna Vito , Portella Guillem , Sala Alba , Terrazas Montserrat , Villegas Núria , Mateo Lidia , Castellazzi Chiara , Labrador Mireia , Aviño Anna , Hospital Adam , Gandioso Albert , Aloy Patrick , Brun-Heath Isabelle , Gonzalez Carlos , Eritja Ramon , Orozco Modesto 
Published: May 2024

ABSTRACTBy combiningin-silico, biophysical andin-celluloexperiments, we decipher the topology, physical and potential biological properties of hybrid-parallel nucleic acids triplexes; an elusive structure at the basis of life. We found that hybrid triplex topology follows a stability order: r(Py)-d(Pu)·r(Py)> r(Py)-d(Pu)·d(Py)> d(Py)-d(Pu)·d(Py)> d(Py)-d(Pu)·r(Py). The r(Py)-d(Pu)·d(Py) triplex is expected to be the preferred in the cell as it avoids the need to open the duplex reducing the torsional stress required for triplex formation in the r(Py)-d(Pu)·r(Py) topology. Upon a massive collection of melting data, we have created the first predictor for hybrid triplex stability. Leveraging this predictor, we conducted a comprehensive scan to assess the likelihood of the human genome and transcriptome to engage in triplex formation. Our findings unveil a remarkable inclination - of both the human genome and transcriptome - to generate hybrid triplex formation, particularly within untranslated (UTRs) and regulatory regions, thereby corroborating the existence of a triplex-mediated regulatory mechanism. Furthermore, we found a correlation between nucleosome linkers and TFS which agree with a putative role of triplexes in arranging chromatin structure and local/global level.
Functional Validation of SAM Riboswitch Element A fromListeria monocytogenes
Authors: Hall Ian , Zablock Kaitlyn , Sobetski Raeleen , Weidmann Chase A. , Keane Sarah C. 
Published: May 2024

ABSTRACTSreA is one of seven candidateS-adenosyl methionine (SAM) class I riboswitches identified inListeria monocytogenes, a saprophyte and opportunistic foodborne pathogen. SAM is essential to all domains of life, serving as a ubiquitous methyl donor and mediator of trans-sulfuration. SreA precedes genes encoding a methionine ATP-binding cassette (ABC) transporter, which imports methionine, a sulfur containing amino acid and substrate for sulfur metabolism. SreA is presumed to regulate transcription of its downstream genes in a SAM-dependent manner. The proposed role of SreA in controlling the transcription of genes encoding an ABC transporter complex may have important implications for how the bacteria senses and responds to the availability of the metabolite SAM in the diverse environments in whichL. monocytogenespersists. Here we validate SreA as a functional SAM-I riboswitch through ligand binding studies, structure characterization, and transcription termination assays. We determined that SreA has both a similar structure and SAM binding properties to other well characterized SAM-I riboswitches. Interestingly, SreA regulates transcription at a distinctly lower (nM) ligand concentration than other SAM riboswitches but does not substantially terminate transcription, even in the presence of mM SAM.GRAPHICAL ABSTRACT
How do institutional dimensions of open government data affect innovation? Evidence from research institutes in China
Authors: Mu Rui , Zhao Xiaxia 
Published: May 2024

PurposeThis study investigates the individual and binary (i.e. combined) effects of institutional dimensions of open government data (which include instructional, structural and accessible rules) on scientific research innovation, as well as the mediating roles that researchers' perceived data usefulness and data capability play in between.Design/methodology/approachBased on a sample of 1,092 respondents, this study uses partial least squares structural equation modeling (PLS-SEM) and polynomial regression with response surface analysis to evaluate the direct and indirect effects of individual and binary institutional dimensions on scientific research innovation.FindingsThe findings demonstrate that instructional, structural and restricted access data have a positive effect on scientific research innovation in the individual effect. While the binary effect of institutional dimensions produces varying degrees of scientific research innovation. Furthermore, this study discovers that the perceived usefulness and data capability of researchers differ in the mediating effect of institutional dimensions on scientific research innovation.Originality/valueTheoretically, this study contributes new knowledge on the causal links between data publication institutions and innovation. Practically, the research findings offer government data managers timely suggestions on how to build up institutions to foster greater data usage.
Impact of Sharia hospital service standards and religiosity commitment on patient satisfaction and loyalty: insights from certified Sharia hospital in Indonesia
Authors: Ngatindriatun Ngatindriatun , Alfarizi Muhammad , Widiastuti Tika 
Published: May 2024

Purpose
This study aims to analyze the influence of the dimensions of Sharia hospital service standards, religiosity commitment and trust of Muslim patients on attitudes and satisfaction, as well as the implications of loyalty.

Design/methodology/approach
This study was carried out by analyzing data obtained from a survey with purposive sampling techniques with 425 patients in an Indonesian-certified Sharia hospital and analyzing it using partial least squares structural equation modeling software to test the path modeling and the relationship between the instruments.

Findings
This study shows that hospital amenities, doctor’s services, nurses’ services, health-care technicalities and hospital environmental and administrative behavior affect patient satisfaction. In addition, religiosity and trust in encouraging patient attitudes determine patient satisfaction. High satisfaction points will increase loyalty to Sharia hospitals.

Research limitations/implications
This study encourages managers to maximize the quality of humanist Islamic medical services and the infrastructure of comfortable facilities. In addition, hospitals need to improve their holistic atmosphere, technical services and administrative behavior so that they can become essential value for hospital marketing – the development of competence and ethical behavior of health workers through various training programs internally and externally.

Originality/value
This study presents the determination of Sharia hospital service standards accompanied by a commitment to religiosity and trust as a psychological perspective of Muslim patients on attitudes and satisfaction and its implications on the brand loyalty of Indonesian Sharia hospitals that have been officially certified.
E-waste prediction and optimal route selection using adaptive deep Markov random field and block chain
Authors: Santhuja P. , Anbarasu V. 
Published: May 2024

PurposeAn efficient e-waste management system is developed, aided by deep learning techniques. Here, a smart bin system using Internet of things (IoT) sensors is generated. The sensors detect the level of waste in the dustbin. The data collected by the IoT sensor is stored in the blockchain. Here, an adaptive deep Markov random field (ADMRF) method is implemented to determine the weight of the wastes. The performance of the ADMRF is boosted by optimizing its parameters with the help of the improved corona virus herd immunity optimization algorithm (ICVHIOA). Here, the main objective of the developed ADMRF-based waste weight prediction is to minimize the root mean square error (RMSE) and mean absolute error (MAE) rate at the time of testing. If the weight of the bins is more than 80%, then an alert message will be sent to the waste collector directly. Optimal route selection is carried out using the developed ICVHIOA for efficient collection of wastes from the smart bin. Here, the main objectives of the optimal route selection are to reduce the distance and time to minimize the operational cost and the environmental impacts. The collected waste is then considered for recycling. The performance of the implemented IoT and blockchain-based smart dustbin is evaluated by comparing it with other existing smart dustbins for e-waste management.Design/methodology/approachThe developed e-waste management system is used to collect the waste and to avoid certain diseases caused by the dumped waste. Disposal and recycling of the e-waste is necessary to decrease pollution and to manufacture new products from the waste.FindingsThe RMSE of the implemented framework was 33.65% better than convolutional neural network (CNN), 27.12% increased than recurrent neural network (RNN), 22.27% advanced than Resnet and 9.99% superior to long short-term memory (LSTM).Originality/valueThe proposed E-waste management system has given an enhanced performance rate in weight prediction and also in optimal route selection when compared with other conventional methods.
IP, limited release and premium consumption: evidence from Generation Z
Authors: Lei Bing , Chang Yue , Liu Wei , Shi Saihua 
Published: May 2024

PurposeThe purpose of this study is to investigate the influence of IP (Intellectual Property) on the intention for premium consumption of Generation Z, and to construct a theoretical model of IP on the premium consumption of Generation Z. Based on the results of the study, it provides better marketing suggestions to merchants, and is an expansion of previous research on the consumption behavior of Generation Z.Design/methodology/approachThis paper contains two empirical tests and one experimental analysis. First, this study crawl over 5,000 pieces of Generation Z’s consumption data from Poizon, an e-commerce platform and exclusive trending community for Generation Z. Second, this study designs a two-group online experiment to collect 292 valid data from members of the Generation Z. The authors use Stata software for multiple linear regression, t-tests, and ANOVA to test the hypotheses.FindingsThe results of the data analysis show that IP has a significant positive effect on the premium consumption intention of Generation Z, and the limited release strategy positively moderates the effect. Self-image congruence and social identification play mediating role in the influence of IP on Generation Z’s premium consumption.Originality/valueFirst, this study finds a link between IP and commodity premiums, which is the first study to explore the effect of IP on commodity price changes. Second, this study is the first to examine the marketing science value of IP using a combination of empirical tests and experimental analysis. These fill research gaps. Finally, the mechanism of IP’s influence on Generation Z’s premium consumption is revealed, enriching the literature on Generation Z’s consumption behavior.
AI Open research Plagiarism Dupli Checker, Scribbr Plagiarism Checker, Quetext, Small SEO Tools Plagiarism Checker Web Technology: comparative study
Authors: Negi Dheeraj Singh , Pandey Praveen Kumar 
Published: May 2024

Purpose
This paper mainly aims to explore the AI Open research Plagiarism Dupli Checker, Scribbr Plagiarism Checker, Quetext and Small SEO Tools Plagiarism Checker and provides a comparative study about the features and benefits.

Design/methodology/approach
This study provides a check list for AI Open research Plagiarism Dupli Checker, Scribbr Plagiarism Checker, Quetext and Small SEO Tools Plagiarism Checker according to the features and limitations.

Findings
After the analysis, it is found that DupliChecker scans up to 1,000 words per check; Scribbr, authorized partner of Turnitin, scans up to paid bases; Quetext offers free 500-word plagiarism and Small SEO Tools scans up to 1,000 words per check. The limitations noted are as follows: Dupli Checker provides limited checks per month, Quetext offers limited free scan and Small SEO Tools have limited features compared to other options.

Research limitations/implications
This study shows the comparative study of AI Plagiarism online tools and is very useful for researchers and learners. The value of this study is to improve the user’s experience and performance of AI plagiarism.

Originality/value
This study shows the comparative study of AI Plagiarism online tools and is very useful for researchers and learners. This study finds out the user experience and awareness accessibility about the performance of open AI plagiarism feature and function.
Accurately predicting rare and poorly detectable species habitat for spatial protection
Authors: Elliott Sophie A. M. , Dubost Gaspard , Rivot Etienne , Acou Anthony , Toison Vincent , Réveillac Elodie , Beaulaton Laurent 
Published: May 2024

Abstract

With the loss of biodiversity worldwide, understanding species distribution is essential for species management, but modelling the distribution of rare and poorly detectable species can be challenging because of data gaps and observer biases. Over‐ or under‐predictions are frequent, leading to uncertainty in spatial management measures, particularly for highly mobile and data‐poor species.

Here we developed a ‘Combined Model for Accurate Prediction’ to accurately predict the distribution of data‐poor and rare species. This modelling framework aims to improve the accuracy of both predicted ‘core’ and ‘unsuitable’ habitats, to help support managers with spatial protection measures. We tested the combined modelling approach on 11 data‐poor and rare diadromous fish during their at‐sea life history phase and used the combined model to analyse the adequacy of existing marine protected areas (MPAs) for these fish.

The combined modelling approach modelled both ‘core’ and ‘unsuitable’ habitats with high accuracy. Of the seven diadromous species modelled, most MPAs designated to protect diadromous fish are outside their core habitats. Furthermore, when their core habitat was within an MPA, only 50% of this area was designated to protect them. These results highlight inadequate protection of the existing networks of MPAs for protected and threatened species.

Synthesis and applications. Being able to accurately model species distribution is critical to reliable and transparent biodiversity and conservation assessments. By modelling accurate ‘core’ and ‘unsuitable’ habitats with models that minimise omission and commission rates respectively, conservation measures could be targeted in specific spatial areas that maximise the protection of rare and poorly detected species. This method therefore helps minimise impacts on stakeholders, while providing managers with increased confidence in the model predictions.
Back to the Future? Rishi Sunak's Industrial Strategy
Authors: Silverwood James , Woodward Richard 
Published: May 2024

AbstractSince becoming Prime Minister, Rishi Sunak has been variously described as pursuing a ‘furtive’, ‘surreptitious’ and ‘apologetic’ industrial strategy. Terms such as industrial policy and industrial strategy have been expunged from official speeches and policy documents, yet industrial intervention remains widespread. In adopting this approach, the article argues that Sunak has returned the UK to an industrial policy consensus established under Thatcherism. This consensus places in the foreground pro‐market rhetoric and policies suggesting that industrial strategy should be limited to the correction of market failure, while in the background the state actively intervenes to shape the structure of the economy by ‘picking winners’. In following this approach, Sunak has a legitimate claim to be the heir to Thatcher's legacy, although not in the manner that either its celebrants or critics believe.
Show Me the Money! Supply and Demand Misalignment for Tangible Rewards in Business*
Authors: Stubbs Kyle M. , Bentley Jeremiah W. 
Published: May 2024

ABSTRACTIn incentive contracts, supervisors often set targets for employee performance, while employees decide the effort they are willing to exert to meet the target and earn the incentive. Both supervisors and employees make judgments about the value of incentives in terms of effort required or expended. Recent research on incentive types investigates employee effort in response to tangible and cash rewards under the premise that they may be valued differently by employees. We extend this research by investigating whether supervisors and employees make different effort‐related decisions in response to tangible and cash rewards. Specifically, relying on construal‐level theory, we predict that supervisors will favor tangible rewards relative to cash more than employees will. We conduct a lab experiment where we ask participants to take the role of either supervisor or employee. We manipulate the reward type (tangible or cash) and measure how much work supervisors demand and employees are willing to provide to obtain the reward. As predicted, we find that the tangible rewards, relative to cash, increase supervisors' target setting significantly more than employee effort levels. Our results offer implications for real‐world incentive compensation design.
Unveiling ceramide dynamics: Shedding light on healthy aging in growth hormone‐releasing hormone knockout mice
Authors: Lasher Alexander Tate , Wang Liping , Hyun Jooyoung , Summers Scott A. , Sun Liou Y. 
Published: May 2024

AbstractDysregulation of growth hormone (GH) signaling consistently leads to increased lifespan in laboratory rodents, yet the precise mechanisms driving this extension remain unclear. Understanding the molecular underpinnings of the beneficial effects associated with GH deficiency could unveil novel therapeutic targets for promoting healthy aging and longevity. In our pursuit of identifying metabolites implicated in aging, we conducted an unbiased lipidomic analysis of serum samples from growth hormone‐releasing hormone knockout (GHRH‐KO) female mice and their littermate controls. Employing a targeted lipidomic approach, we specifically investigated ceramide levels in GHRH‐KO mice, a well‐established model of enhanced longevity. While younger GHRH‐KO mice did not exhibit notable differences in serum lipids, older counterparts demonstrated significant reductions in over one‐third of the evaluated lipids. In employing the same analysis in liver tissue, GHRH‐KO mice showed pronounced downregulation of numerous ceramides and hexosylceramides, which have been shown to elicit many of the tissue defects that accompany aging (e.g., insulin resistance, oxidative stress, and cell death). Additionally, gene expression analysis in the liver tissue of adult GHRH‐KO mice identified substantial decreases in several ceramide synthesis genes, indicating that these alterations are, at least in part, attributed to GHRH‐KO‐induced transcriptional changes. These findings provide the first evidence of disrupted ceramide metabolism in a long‐lived mammal. This study sheds light on the intricate connections between GH deficiency, ceramide levels, and the molecular mechanisms influencing lifespan extension.
The TREK‐1 potassium channel is a potential pharmacological target for vasorelaxation in pulmonary hypertension
Authors: Csáki Réka , Nagaraj Chandran , Almássy János , Khozeimeh Mohammad Ali , Jeremic Dusan , Olschewski Horst , Dobolyi Alice , Hoetzenecker Konrad , Olschewski Andrea , Enyedi Péter , Lengyel Miklós 
Published: May 2024

AbstractBackground and purposePulmonary arterial hypertension (PAH) is a progressive disease in which chronic membrane potential (Em) depolarisation of the pulmonary arterial smooth muscle cells (PASMCs) causes calcium overload, a key pathological alteration. Under resting conditions, the negative Em is mainly set by two pore domain potassium (K2P) channels, of which the TASK‐1 has been extensively investigated.Experimental ApproachIon channel currents and membrane potential of primary cultured human(h) PASMCs were measured using the voltage‐ and current clamp methods. Intracellular [Ca2+] was monitored using fluorescent microscopy. Pulmonary BP and vascular tone measurements were also performed ex vivo using a rat PAH model.Key ResultsTREK‐1 was the most abundantly expressed K2P in hPASMCs of healthy donors and idiopathic(I) PAH patients. Background K+‐current was similar in hPASMCs for both groups and significantly enhanced by the TREK activator ML‐335. In donor hPASMCs, siRNA silencing or pharmacological inhibition of TREK‐1 caused depolarisation, reminiscent of the electrophysiological phenotype of idiopathic PAH. ML‐335 hyperpolarised donor hPASMCs and normalised the Em of IPAH hPASMCs. A close link was found between TREK‐1 activity and intracellular Ca2+‐signalling using a channel activator, ML‐335, and an inhibitor, spadin. In the rat, ML‐335 relaxed isolated pre‐constricted pulmonary arteries and significantly decreased pulmonary arterial pressure in the isolated perfused lung.Conclusions and ImplicationsThese data suggest that TREK‐1is a key factor in Em setting and Ca2+ homeostasis of hPASMC, and therefore, essential for maintenance of a low resting pulmonary vascular tone. Thus TREK‐1 may represent a new therapeutic target for PAH.
A real‐time decision support system to improve operations in electric bus networks
Authors: Abdelwahed Ayman , van den Berg Pieter L. , Brandt Tobias , Ketter Wolfgang 
Published: May 2024

ABSTRACTElectrifying transit bus networks (TBNs) has recently become a challenging problem that many public transport operators around the world are facing. Due to the limited driving range of electric buses, electric TBNs are more sensitive to operational delays and uncertainties. Moreover, the impact on sustainability is most profound when the buses are powered by renewable energy resources, which are often subject to intermittency and uncertainty. In this work, we tackle the complicated problem of planning charging schedules amid these various sources of uncertainty. We develop a real‐time decision support system that uses real‐time data, predictions, and mathematical optimization to update the charging schedules and mitigate the impact of operational uncertainties. Our results show that the online strategy can maintain higher reliability and renewable energy utilization levels compared to other charging strategies. The study has been carried out in cooperation with the public transport operator in Rotterdam in the Netherlands to assist them in their TBN transition process.