bluuebunny/crossref_metadata_2025_split huggingface dataset:
Estimating the Sampling Distribution of Posterior Decision Summaries in Bayesian Clinical Trials
Authors: Golchi Shirin , Willard James J. 
Published: October 2024

ABSTRACTBayesian inference and the use of posterior or posterior predictive probabilities for decision making have become increasingly popular in clinical trials. The current practice in Bayesian clinical trials relies on a hybrid Bayesian‐frequentist approach where the design and decision criteria are assessed with respect to frequentist operating characteristics such as power and type I error rate conditioning on a given set of parameters. These operating characteristics are commonly obtained via simulation studies. The utility of Bayesian measures, such as “assurance,” that incorporate uncertainty about model parameters in estimating the probabilities of various decisions in trials has been demonstrated. However, the computational burden remains an obstacle toward wider use of such criteria. In this article, we propose methodology which utilizes large sample theory of the posterior distribution to define parametric models for the sampling distribution of the posterior summaries used for decision making. The parameters of these models are estimated using a small number of simulation scenarios, thereby refining these models to capture the sampling distribution for small to moderate sample size. The proposed approach toward the assessment of conditional and marginal operating characteristics and sample size determination can be considered as simulation‐assisted rather than simulation‐based. It enables formal incorporation of uncertainty about the trial assumptions via a design prior and significantly reduces the computational burden for the design of Bayesian trials in general.
Spectrofluorometric Turn‐Off Sensing Probe for Tolmetin Determination Using Cerium and Nitrogen Codoped Carbon Dots
Authors: Mabrouk Mokhtar M. , Mansour Fotouh R. , Hassan Hamsa B. , Abdella Aya A. 
Published: October 2024

ABSTRACTA facile, low‐cost, and rapid method was developed for spectrofluorometric determination of tolmetin (TOL) using highly fluorescent (QY = 35%) cerium and nitrogen codoped carbon dots (Ce–NCDs) sensing platform prepared by one‐step hydrothermal method. Owing to the severe overlap between TOL absorption and Ce–NCDs excitation spectra around 320 nm, TOL could attenuate the emission of Ce–NCDs at 407 nm through primary inner filter effect (IFE). This concentration dependent attenuation was linear between 2 and 10 μg/mL (r = 0.9993) with a limit of detection of 0.5 μg/mL. The sensor showed very good accuracy (% recovery = 98%–100%) and precision (%RSD < 2). The developed sensing strategy was successfully applied for TOL detection as an active pharmaceutical ingredient in pharmaceutical formulation and as a potential pollutant in environmental water samples, such as tap and river water, with acceptable recovery and considerable selectivity. Thus, the direct single‐step spectrofluorometric determination of TOL was enabled without extensive processing or chemical derivatization.
State of art review on sustainable manufacturing and Industry 4.0
Authors: Harikannan Nagarajan , Vinodh Sekar 
Published: October 2024

AbstractIndustry 4.0 refers to a set of technologies that facilitate the development of value chain, resulting in shorter lead times, higher quality products and better organisational performance. These innovative smart technologies have the potential to address widespread sustainability concerns, while having the capacity to enhance production, and can morally impact sustainable development. Recently, manufacturing sector has vital influence on environmental, social and economic aspects of sustainability, owing to their substantial demands on energy, water, materials and other resources. The goal of this study is to analyse sustainable manufacturing and Industry 4.0 (I4.0) research studies with an emphasis on manufacturing domain. To clarify how these revolutionary technologies might affect sustainability of manufacturing industries, systematic literature review (SLR) of prior studies on sustainable manufacturing and I4.0 featuring from its conception to performance measures was done. To conduct the review, literature search was directed using SCOPUS and Web of Science databases. A total of 442 articles that were published in reputed journals between 2009 and 2022 were shortlisted for comprehensive review. The study conclusions gave vital information on several viewpoints of sustainable I4.0 in manufacturing organisation. A conceptual framework with five layers based on SLR was established to direct and aid manufacturing industries towards sustainable I4.0 implementation. The framework supports manufacturing sector to focus on sustainable I4.0 for sustainable economic value creation and development using digital technologies.
How Mattering and Anti‐Mattering Experiences Across Offline and Online Environments Contribute to People's Digital Life Balance and Social Media Addiction
Authors: Duradoni Mirko , Severino Franca Paola , Bellotti Martina , Guazzini Andrea 
Published: October 2024

ABSTRACTIn today's world, internet use has been evaluated as a factor that tremendously affects people's lives. More recently, evidence has been presented on the role that social‐level factors play in determining the dysfunctional use of new technologies, such as the need for social recognition. This study examines the concept of ‘mattering’ and its counterpart ‘anti‐mattering’ to understand how offline and online social experiences, along with need satisfaction, influence digital life balance and social media addiction. Three hundred participants (78.3% women; Mage = 24.92 years, SD = 7.49) participated in the data collection. This cross‐sectional explorative study revealed that people Satisfied Online (i.e., subjects who satisfy their need to be important only online) are more likely to develop social media addiction and an imbalance between offline and online life than those who are Fully Satisfied, Fully Unsatisfied, and Satisfied Offline based on correlation and ANOVA analyses. In conclusion, the results of this study support the idea that the human need for social connection and social recognition are critical in shaping our relationship with emerging communication technologies, both toward functional and dysfunctional use.
Mask Wearing Fosters Relaxation and Store Engagement in an Offline‐Retail Context
Authors: Yang Lu , Tang Lingyi , Huang Yunhui 
Published: October 2024

ABSTRACTWearing a mask or face covering can serve not only as a health defense measure or a requirement for certain activities and rituals, but can also influence consumer purchasing behavior. This research examines whether, how, and when mask wearing fosters store engagement (e.g., higher intention to try on, longer staying time, and higher repeat patronage intention). Building on social observation and social monitoring theory, we conducted five studies and found that mask wearing leads consumers to perceive they are being observed/evaluated less and therefore to feel more relaxed; this feeling in turn leads to greater store engagement, especially for those who are high in self‐monitoring. Studies 1–3 indicate that consumers who wear (vs. not wear) masks generate higher engagement across different shopping contexts, demonstrate the proposed mechanism through serial mediation while ruling out alternative explanations, and show that being observed/evaluated less has a unique effect beyond perceived invulnerability to viruses on feelings of relaxation. Study 4 demonstrates the moderating role of self‐monitoring, such that this effect diminishes when consumers are low in self‐monitoring. Finally, Study 5 generalizes the mask‐wearing effect using a different facial covering situation. Both theoretical and practical implications are discussed.
Online Impulse Buying: A Systematic Review of 25 Years of Research Using Meta Regression
Authors: Anoop T. S. , Rahman Zillur 
Published: October 2024

ABSTRACTIn the dynamic realm of online commerce, the phenomenon of Online Impulse Buying (OIB) has become a focal point of extensive research. Despite the multitude of studies exploring antecedents, mediators, and moderating factors, inconsistencies in findings have hindered generalization. To bridge this gap, we conducted a comprehensive meta‐analysis, synthesizing data from 84 empirical results across 75 research articles up to December 2023. Encompassing a cumulative sample size of 139,545 participants and 341 effects, our analysis aimed to evaluate the strength and significance of associations with OIB. Results revealed substantial influences on OIB, with Situational stimuli (ESr = 0.477), Marketing stimuli (ESr = 0.433), Customer related factors (ESr = 0.388), and Platform related factors (ESr = 0.362) emerging as key contributors. The heightened impact of situational and marketing stimuli reflects the evolving landscape of OIB. Additionally, we explored six potential moderators—culture, sample type, sampling method, online commerce type, and data collection technique—uncovering statistically significant effects on some aggregated correlations. By shedding light on the changing dynamics of OIB, our findings provide valuable insights for both researchers and practitioners navigating the intricate landscape of online impulse buying. Finally, we outline future research directions to guide ongoing exploration in this rapidly evolving field.
High‐Resolution Tandem Mass Spectrometry for Metabolic Profiling of Ocotea diospyrifolia (Meisn.) Mez Leaves
Authors: Alves Matheus Fernandes , Katchborian Neto Albert , Casoti Rosana , Leite Fernanda Brito , de Paula Ana Claudia Chagas , Dias Danielle Ferreira , Soares Marisi Gomes , Arruda Sanchez Tiago , de Paula Daniela Aparecida Chagas 
Published: October 2024

AbstractOcotea is an important genus of Lauraceae plant family that comprises over 400 species, many of which pose challenges in taxonomic differentiation due to their complex botanical characteristics. Chemosystematics, and more recently, chemophenetics, have emerged as valuable tools to address these challenges based on their natural products (NPs) composition. O. diospyrifolia (Meisn.) Mez is a poorly studied species with known pharmacological potential. Here, we applied ultra‐high performance liquid chromatography coupled with high‐resolution tandem mass spectrometry (UHPLC‐HRMS) allied to a curated in‐house database with all previous isolated NPs from the Ocotea genus (OcoteaDB), gas phase fragmentations reactions, and biosynthesis. The strategy resulted in compounds annotated in confidence levels 2 (n=27), 3 (n=231), and 4 (n=21) according to the Metabolomics Standards Initiative (MSI). Additional annotations based on fragmentation proposals (n=16) were also included. The study revealed that O. diospyrifolia is a great alkaloid producer, even though different lignoids, which also comes from the shikimate pathway, were annotated. Additionally, the flavonoid profile predominantly consists of flavonol glycosides, complementing prior reports. This study provides the first comprehensive chemical profile of O. diospyrifolia leaves, which corroborates the chemotaxonomy of the species, and also contributes to further characterization studies, as the UHPLC‐HRMS data is publicly available.
Orofacial features and dental management of a pediatric patient with moyamoya disease—A one year follow up
Authors: Alharbi Salma G. , Bhadila Ghalia Y. , Almushayt Abdullah 
Published: October 2024

Key Clinical MessageMoyamoya disease (MMD) is a chronic cerebrovascular disorder increasing stroke risk. This study presents a four‐year‐old MMD patient, discussing her multidisciplinary care plan including dental, behavioral, and medical management. It emphasizes the need for awareness among oral physicians and suggests further research due to the rising prevalence of MMD.AbstractMoyamoya disease (MMD) is a chronic cerebrovascular disorder that narrows major blood vessels in the brain, reduces blood flow, and increases the risk of stroke. The purposes of this study were to: (1) present the case of a four‐year‐old patient diagnosed with MMD; (2) discuss important aspects of her multidisciplinary care plan involving dental, behavioral, and medical management; and (3) suggest approaches and recommendations for health care providers. A four‐year‐old Middle Eastern female diagnosed with MMD, neurogenic bladder, chronic constipation, hyperactivity, and delayed milestones presented to the dental clinic with her parents seeking dental care. The child was referred by a pediatric neurologist for dental care. In the present case, there were no specific oral manifestations. However, oral physicians should be aware of possible behavioral management modalities when providing dental care to pediatric patients, including those diagnosed with MMD.
Whole‐body‐electro‐myostimulation for the care of inclusion body myositis—A case report
Authors: Freitag Nils , Dragutinovic Boris , Notbohm Hannah L. , Filipovic Andre , Schiffer Thorsten , Bloch Wilhelm , Schumann Moritz 
Published: October 2024

Key Clinical MessageExternal muscle stimulation, possibly combined with active muscle contraction, could improve physical functioning and performance in inclusion body myositis.AbstractInclusion body myositis (IBM) is a chronic, progressive inflammatory muscle disease with largely unknown causes. It typically affects men more than women, usually beginning in the latter half of life. IBM leads to muscle weakness and wasting, especially in the arms and legs, which significantly impairs daily functioning and complicates participation in exercise training. Few studies have examined the impact of physical training on fitness, inflammation markers, and quality of life in IBM patients. The patient, a Caucasian male (78.3 kg, 174.0 cm, born October 1948), was diagnosed with IBM in October 2011. From October 2017 to September 2019, he underwent exercise training focused on external muscle stimulation combined with active muscle contractions. Regular assessments included cardiopulmonary exercise testing, functional tests (6‐min walking test, modified timed up and go test, modified chair rise test), lung function exams, blood parameters, body composition, and quality of life questionnaires. The decline in physical fitness may have been slowed during the intervention period, as indicated by some improvements like peak oxygen uptake and the functional test results while other parameters remained unchanged or declined like peak power output, fat‐free mass or lung functioning. However, a recurrence of his prostate cancer after treatment with androgen deprivation therapy may have led to further declines and thus increased muscle wasting. The data may suggest that supportive exercise programs focusing on external muscle stimulation, possibly combined with active muscle contraction, might improve physical functioning, exercise performance, and quality of life in IBM management.
Ruthenium‐Catalyzed Chemoselective Olefin Transfer Hydrogenation of alpha, beta‐Unsaturated Carbonyl Systems By Using EtOH as Hydrogen Source
Authors: Beaufils Alicia , Albrecht Martin 
Published: October 2024

AbstractThe use of EtOH as hydrogen donor is remarkably under explored in transfer hydrogenation reactions, even though EtOH represents an appealing hydrogen source. With the cationic ruthenium complex [Ru(PYA)(cymene)]+, 1, containing a N,N‐bidentate amino‐functionalized pyridinium amidate (PYA) ligand as catalyst precursor, we here demonstrate the first example of chemoselective room temperature transfer hydrogenation of the C═C bond in α,β‐unsaturated ketones using EtOH as benign hydrogen source to yield a variety of functionalized ketones. The reaction proceeds under mild conditions with K2CO3 as base and conventiently at room temperature. A broad substrate scope, including various functionalized α,β‐unsaturated carbonyl groups, demonstrates the general applicability of this method. Preliminary mechanistic studies suggest the formation of an alkoxide complex [1]–OEt as an initially formed species, and the requirement for EtOH to induce hydride transfer, suggesting a protic activation of the catalyst.
PVDF and PEO Catholytes in Solid‐State Cathodes Made by Conventional Slurry Casting
Authors: Howell Benjamin R. , Gallaway Joshua W. 
Published: October 2024

AbstractAll‐solid‐state Li batteries are desired for better safety and energy density than Li‐ion batteries. However, the lack of a penetrating liquid electrolyte requires a much different approach to the design of cathodes. The solid catholyte must enable good Li+ conduction, form good interfaces with active material particles, and have the strength to bind the cathode together during repeated volume changes. Catholyte formulation is often simply adapted from Li‐ion design principles, adding a Li salt to the PVDF binder. Here we show that such a PVDF binder at 10 wt % loading is a starved catholyte condition that compromises cell performance. By substituting a 70 : 30 blend of PVDF:PEO, performance is improved while maintaining nearly the same areal loading of LFP active material. Increasing the catholyte fraction to 16 % can also improve performance, but in this case the benefit of including PEO is lessened, with PVDF alone being an adequate catholyte. EIS analysis shows that PEO helps to form charge transfer interfaces at 10 % catholyte, but that its inclusion can degrade interfaces when there is ample catholyte at 16 %. It is also shown that catholyte agglomeration can impede bulk Li conduction, indicating that microstructural factors are of critical importance.
Non‐alternant Benzodifluoranthene Tetraimides from 7,8,9,10‐Fluoranthene Diimides: Synthesis, Structure, and Optical‐Limiting Properties
Authors: Qin Hanwen , Zhao Lingli , Zheng Liping , Ma Zhipeng , Liao Miaoli , Sun Jibin , Sun Chenghua , Chen Huajie 
Published: October 2024

AbstractA novel tetraimide‐functionalized non‐alternant π‐conjugated system, namely, benzodifluoranthene tetraimides (BDFTI), has been designed and synthesized through highly efficient UV‐photocyclization of a vinyl‐bridged fluoranthene diimide dimer (i. e., FDI−V). The synthesis of FDI−V starts from a straightforward three‐step route to produce novel 7,8,9,10‐fluoranthene diimide (FDIs) building‐blocks, followed by nearly complete bromination and then Stille‐coupling reaction to give the desired dimer. The analysis by X‐ray crystallography confirms a near‐coplanar geometry for FDIs, while BDFTI shows a U‐shaped and distorted backbone configuration proven by theoretical optimizations. The tetraimide BDFTI exhibits several advantages over the FDI cores, including an extended absorption band and a red‐shift in photoluminescence spectra. This enhancement can be attributed to the presence of additional electron‐deficient imide units, which promotes increased intramolecular charge transfer and improved electron affinity. All the imides show a local aromatic characteristic owing to the incorporation of pentagon rings in the π‐frameworks. The fully fused BDFTI exhibits nonlinear optical properties as analyzed by the open‐aperture Z‐scan technique, demonstrating superior optical‐limiting performance compared to vinyl‐bridged FDI−V. The versatile UV‐photocyclization chemistries provide a pathway for developing complex and unique multiimide‐functionalized π‐conjugated systems, paving the way for creating high‐performance optical‐limiting materials.
Highly Efficient and Selective Synthesis of Renewable Isoprene Over Mo‐Fe‐O and MgO/Mg(OH)2 Composite Catalysts
Authors: Xu Lulu , Liu Shuo , Li Shikun , Wang Lei , Meng Xiangju , Xiao Feng‐Shou , De Baerdemaeker Trees , Parvulescu Andrei‐Nicolae , Zhang Weiping 
Published: October 2024

AbstractSynthesis of renewable isoprene continues to attract significant interest, yet catalysts still need improvement for industrial applications. We report herein an efficient and novel Prins tandem approach for highly selective production of isoprene from bio‐based methanol and isobutene over Mo‐Fe−O and MgO/Mg(OH)2 acid‐base bifunctional catalysts. Hydration decreases the number of strong basic sites O2− ions and increases OH groups over MgO, thus improving the isoprene selectivity. Basic OH on Mg(OH)2 promotes the Prins condensation of formaldehyde and isobutene, while acidic OH promotes dehydration of isoprenol to isoprene. Suitable contents and proportions of basic and acidic OH groups over Mg(OH)2 increase isoprene selectivity and methanol conversion to 90 and 92 % on the Mo‐Fe−O+Mg(OH)2 composite catalysts, respectively. It exhibits good recycling stability, with isoprene selectivity remaining 90 % after five successive regenerations. DFT calculations reveal OH groups formed after hydration reduce the energy barrier of the H transfer step, thereby promoting the overall reaction.
Harmonic Migration Algorithm for Virtual Machine Migration and Switching Strategy in Cloud Computing
Authors: Siruvoru Vahini , Aparna Shivampeta 
Published: October 2024

ABSTRACTNowadays, cloud computing (CC) has been utilized broadly owing to the services it provides which can be received from any location at any time on the basis of the customer's requirements. A huge amount of data transmission is made from both user to host as well as host to the customer in the cloud environment, but here placing the virtual machine (VM) on a suitable host and data transferring is a challenging task. In this research, a harmonic migration algorithm (HMA) is developed by combining both the migration algorithm (MA) and the harmonic analysis (HA) for migrating a VM from an overloaded to an under‐loaded physical machine (PM) and enabling or disabling the VM through switching strategies in CC. The tasks are allocated to the corresponding VM in a round‐robin (RR) manner and subsequently, the load of the VM is predicted through the gated recurrent unit (GRU). The HMA technique migrates the VM when the predicted load is higher than the value of threshold and also, it enables or disables the VM when necessary. Thus, the performance of the developed HMA is improved over the other previous schemes at tasks 100, 200, 300, and 400 by varying the iterations. Therefore, the predicted load, makespan, and resource utilization of the developed HMA are 0.148, 0.327 s, and 0.482% for task 100 at iteration 100.
A Revocable Certificateless Encryption Scheme for Multi‐User
Authors: Mou Yiming , Deng Lunzhi , Ruan Yu 
Published: October 2024

ABSTRACTCertificateless cryptography, which solves the key escrow problem and avoids the complexity of certificate management, is an important part of public key cryptography. In the multi‐user scenarios, broadcast encryption can improve computational efficiency and reduce communication cost. Moreover, there may be some malicious users in the above scenarios, and the decryption permissions of these users need an effective mechanism to revoke them. In this paper, a revocable certificateless encryption scheme for multi‐user (RCLE‐MU) is proposed to address this issue. In the scheme, the Cloud Server Provider (CSP) utilizes the master time key to periodically generate time keys for legitimate users. For illegitimate users, their decryption privileges are revoked since they are unable to obtain the time keys. Then this new scheme is proved to be ciphertext indistinguishable under selected identity and chosen‐ciphertext attacks (sID‐CCAs). Finally, compared with several other schemes, the new scheme has more efficiency advantage. So it is suitable for multi‐user scenarios.