bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dare to thrive! How and when do development idiosyncratic deals promote individual thriving at work?
Authors: Xu Angela J. , Jiang Zhou , Zhou Qin , Wu Chia‐Huei 
Published: April 2024

AbstractDespite the importance of a thriving workforce in sustaining organizational success, prior research pays little attention to how individualized human resource (HR) practices can help individual employees to thrive at work. Drawing on the theoretical underpinnings of conservation of resources theory, we investigate whether, how, and when development idiosyncratic deals (i‐deals) can contribute to individual thriving. We contend that possessing development i‐deals will motivate individuals to engage in approach job crafting, which in turn promotes their experience of thriving at work. We further contend that high‐quality leader–member exchange will enhance the function of development i‐deals in triggering approach job crafting and subsequent thriving experiences. Results from a two‐wave survey involving 278 managers in a pharmaceutical firm in China and a three‐wave survey among 178 managers working in various organizations in the UK support our hypotheses. Our findings provide new insights for practitioners seeking to design customized HR practices to support a thriving workforce.
Lightweight facial expression estimation for mobile computing in portable device
Authors: Liu Jinming 
Published: April 2024

AbstractFacial expression recognition has been studied for many years, especially with the development of deep learning. However, the existing researches still have the following two issues. Firstly, the intensity of facial expression is neglected. Secondly, the deep learning based approaches cannot be directly deployed in the devices with limited resources. In order to tackle these two issues, this paper proposes a lightweight facial expression estimation method using a shallow ordinal regression algorithm, which is deployed in a portable smart device for mobile computing in IoTs. Compared with classification based facial expression recognition methods, ordinal regression considers the intensity of facial expression to achieve better mean absolute error (MAE), which is validated by experiments on several public facial expression datasets. The simulation in portable device also demonstrates its effectiveness for mobile computing.
Improving the reliability of machine learned potentials for modeling inhomogeneous liquids
Authors: Fazel Kamron , Karimitari Nima , Shah Tanooj , Sutton Christopher , Sundararaman Ravishankar 
Published: April 2024

AbstractThe atomic‐scale response of inhomogeneous fluids at interfaces and surrounding solute particles plays a critical role in governing chemical, electrochemical, and biological processes. Classical molecular dynamics simulations have been applied extensively to simulate the response of fluids to inhomogeneities directly, but are limited by the accuracy of the underlying interatomic potentials. Here, we use neural network potentials (NNPs) trained to ab initio simulations to accurately predict the inhomogeneous responses of two distinct fluids: liquid water and molten NaCl. Although NNPs can be readily trained to model complex bulk systems across a range of state points, we show that to appropriately model a fluid's response at an interface, relevant inhomogeneous configurations must be included in the training data. In order to sufficiently sample appropriate configurations of such inhomogeneous fluids, we develop protocols based on molecular dynamics simulations in the presence of external potentials. We demonstrate that NNPs trained on inhomogeneous fluid configurations can more accurately predict several key properties of fluids—including the density response, surface tension and size‐dependent cavitation free energies—for liquid water and molten NaCl, compared to both empirical interatomic potentials and NNPs that are not trained on such inhomogeneous configurations. This work therefore provides a first demonstration and framework to extract the response of inhomogeneous fluids from first principles for classical density‐functional treatment of fluids free from empirical potentials.
Effectiveness of contrast‐enhanced duplex ultrasound for detecting renal artery stenosis: A systematic review
Authors: Shivgulam Madeline E. , Liu Haoxuan , Kivell Matthew J. , MacLeod Jessica R. , O'Brien Myles W. 
Published: April 2024

AbstractPurposeContrast‐enhanced duplex ultrasound (CEUS) might be a useful tool to diagnosing renal artery stenosis (RAS). We amalgamated and reviewed the evidence assessing the diagnostic accuracy of CEUS on detecting RAS compared to angiography.MethodsThis preregistered systematic review included studies that compared the presence of RAS via CEUS with angiography. Sources were searched in November 2022 and included Scopus, EMBASE, MEDLINE, CINAHL, and Academic Search Premier (n = 1717). The Quality Assessment of Diagnostic Studies 2 tool assessed study quality. Results are presented narratively.ResultsThe studies included (n = 11) had a total of 447 unique participants (193 females) and average age of 56 ± 9 years. Five of eleven studies investigated CEUS using SonoVue contrast agent and reported an average accuracy (91% ± 2%), sensitivity (91% ± 3%), specificity (90% ± 5%), negative predictive value (86% ± 6%), and positive predictive value (94% ± 1%) with all values >80%. The accuracy of CEUS using other types of contrast agent (n = 6), including Levovsit (n = 3/6), Definity (n = 1/6), perfienapent emulsion (n = 1/6), and perfluorocarbon‐exposed sonicated dextrose albumin (n = 1/6) was mixed. These studies detected an average accuracy of 91 ± 11% (n = 2/3% > 80%), sensitivity of 98% ± 4%, (n = 3/3% > 80%), and specificity of 86% ± 10% (n = 2/3% > 80%). Included studies had generally low risk of bias and applicability concerns except for unclear flow and timing (n = 7/11) and applicability of patient selection (n = 4/11).ConclusionDespite being limited by the heterogeneity of included studies, our review indicates a high overall diagnostic accuracy for CEUS to detect RAS compared to angiography, with the largest evidence‐base for SonoVue contrast. Radiologists and hospital decision makers should consider CEUS as an acceptable alternative to angiography.
Periodontists and oral surgeons’ peri‐implantitis‐related education, knowledge, attitudes, and professional behavior: A national survey
Authors: Polymeri Angeliki , Marti Kyriaki C. , Aronovich Sharon , Inglehart Marita R. 
Published: April 2024

AbstractObjectivesEach year, approximately 5 million dental implants are placed in the United States and one out of three patients is likely to experience peri‐implantitis (PI). The objectives were to compare the PI‐related education, knowledge, attitudes, and professional behavior of periodontists and oral maxillofacial surgeons (OMS), and to explore relationships between these constructs of interest.MethodsA total of 389 periodontists and 161 OMS responded to a web‐based survey. Descriptive and inferential statistical analyses (independent sample t‐tests, chi‐square tests, and correlational analyses) were conducted.ResultsOn average, periodontists reported a higher percentage of time spent in residency on implant surgery (21.02% vs. 7.27%; p < 0.001), better education about PI (5‐point scale with 1 = not at all well: means: 2.86 vs. 2.59; p < 0.001), and better knowledge of risk factors (4.07 vs. 3.86; p < 0.001) than OMS. Periodontists argued that oral hygiene‐related treatment (4.45 vs. 4.22; p = 0.001) and regeneration‐focused treatments such as guided tissue regeneration (3.62 vs. 3.20; p < 0.001) contributed more to successfully treating PI and used these treatments more in their practices (4.86 vs. 4.56; p < 0.001/3.06 vs. 2.68; p < 0.001) than OMS. They also considered PI as a more serious problem than OMS (4.55 vs. 3.80; p < 0.001). The better the respondents’ PI‐related knowledge was, the more they considered PI as a serious problem (r = 0.19; p < 0.001). The more cases they treated per month, the more they considered PI as a serious problem (r = 0.19; p < 0.001).ConclusionsThe results of the present study highlight the lack of standardization in the specialty training of periodontists and OMS. Best practice guidelines for the diagnosis and treatment of PI are needed to optimize graduate education about this important topic.
Comparison of push‐out bond strength and apical microleakage of different calcium silicate‐based cements after using EDTA, chitosan and phytic acid irrigations
Authors: Koçak Şahin Tutku , Ünal Murat 
Published: April 2024

AbstractThis research was aimed to evaluate push‐out bond strength and apical‐microleakage after application of three different calcium silicate‐based cements with irrigation solutions on simulated immature teeth. 40 maxillary permanent canine teeth were used for push‐out bond strength test, and 120 maxillary permanent incisors were used for microleakage evaluation. 120 root slices were divided into four main groups (EDTA, Chitosan, Phytic acid, and Saline) and immersed these solutiouns according to irrigation procedures. Each irrigation group was divided into 3 subgroups (Biodentine, MTA Repair HP, and NeoPUTTY). The prepared teeth were divided into four groups according to irrigation procedure for microleakage test. EDTA irrigation with Biodentine group showed highest push‐out bond strength value and saline group with Neoputty showed the lowest push‐out bond strength value. The highest microleakage value was seen in saline group with MTA Repair HP, while the lowest microleakage value was observed chitosan with Biodentine group. Chitosan and phytic acid solutions can be recommended as an alternative irrigation solution to 17% EDTA in single‐session apexification treatment, since they are non‐toxic, naturally occurring materials, effectively remove the smear layer, and have a positive effect on bond strength and apical leakage.Research HighlightsOne of the factors affecting the long‐term success of root canal treatment is a hermetic seal. Non‐hermetic or inadequate filling triggers a chronic inflammatory reaction in periapical tissues, causing fluids to enter the spaces and negatively affecting the success of the treatment. Therefore, this study will help clinicians choose the right biomaterial and irrigation solution that will affect the success of root canal treatment.
Cell‐engineered virus‐mimetic nanovesicles for vaccination against enveloped viruses
Authors: Han Chungmin , Kim Suyeon , Seo Youngjoo , Lim Minyeob , Kwon Yongmin , Yi Johan , Oh Seung‐Ik , Kang Minsu , Jeon Seong Gyu , Park Jaesung 
Published: April 2024

AbstractEnveloped viruses pose a significant threat to human health, as evidenced by the recent COVID‐19 pandemic. Although current vaccine strategies have proven effective in preventing viral infections, the development of innovative vaccine technologies is crucial to fortify our defences against future pandemics. In this study, we introduce a novel platform called cell‐engineered virus‐mimetic nanovesicles (VNVs) and demonstrate their potential as a vaccine for targeting enveloped viruses. VNVs are generated by extruding plasma membrane‐derived blebs through nanoscale membrane filters. These VNVs closely resemble enveloped viruses and extracellular vesicles (EVs) in size and morphology, being densely packed with plasma membrane contents and devoid of materials from other membranous organelles. Due to these properties, VNVs express viral membrane antigens more extensively and homogeneously than EVs expressing the same antigen. In this study, we produced severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) VNVs expressing the SARS‐CoV‐2 Spike glycoprotein (S) on their surfaces and assessed their preclinical efficacy as a COVID‐19 vaccine in experimental animals. The administration of VNVs successfully stimulated the production of S‐specific antibodies both systemically and locally, and immune cells isolated from vaccinated mice displayed cytokine responses to S stimulation.
Synthesis of Deuterated Endochin‐Like Quinolones
Authors: Pou Sovitj , Winter Rolf W. , Liebman Katherine M. , Dodean Rosie A. , Nilsen Aaron , DeBarber Andrea , Doggett J. Stone , Riscoe Michael K. 
Published: April 2024

ABSTRACTMalaria continues to be a serious and debilitating disease. The emergence and spread of high‐level resistance to multiple antimalarial drugs by Plasmodium falciparum has brought about an urgent need for new treatments that will be active against multidrug resistant malaria infections. One such treatment, ELQ‐331 (MMV‐167), an alkoxy carbonate prodrug of 4(1H)‐quinolone ELQ‐300, is currently in preclinical development with the Medicines for Malaria Venture. Clinical development of ELQ‐331 or similar compounds will require the availability of isotopically labeled analogs. Unfortunately, a suitable method for the deuteration of these important compounds was not found in the literature. Here, we describe a facile and scalable method for the deuteration of 4(1H)‐quinolone ELQ‐300, its alkoxycarbonate prodrug ELQ‐331, and their respective N‐oxides using deuterated acetic acid.
Investigation of liquid chromatography–mass spectrometry analysis of a peptide aldehyde SJA6017 with identifying its hemiacetal, gem‐diol, and enol ether
Authors: Zou Zhiyang Zack , Han Ming‐jie 
Published: April 2024

AbstractThe quantitative analysis of SJA6017, a peptide aldehyde inhibitor of calpain (Calpain Inhibitor VI), has encountered challenges in preclinical drug studies. The complex reverse‐phase HPLC chromatographic behavior exhibits two peaks, each containing multiple species. An liquid chromatography–mass spectrometry (LC–MS/MS) study proposed an explanation for this phenomenon, caused by the amide aldehyde structure of SJA6017. Four chemical species corresponding to the two HPLC peaks have been identified as SJA6017 and its methyl hemiacetal, methyl enol ether, and gem‐diol. In many instances of preclinical studies, methanol is favored as a substitute for DMSO. The hemiacetal is formed when the amide‐activated peptide aldehyde reacts with methanol, which can then be further dehydrated in the mass spectrometer ion source under high temperature to form the methyl enol ether. The hemiacetal and gem‐diol can also be decomposed to SJA6017 in the ion source. Additionally, the amide‐activated peptide aldehyde can easily hydrate to the gem‐diol of SJA6017 during sample incubation or sample preparation. The hemiacetal and gem‐diol of SJA6017 are stable enough to have different retention times in the liquid chromatography, which explains why SJA6017 appears as two peaks, each containing multiple species. An LC–MS/MS tandem quadrupole mass spectrometer quantitative analysis method is proposed, enabling the analysis of these types of samples. This work serves as both an illustrative example and a cautionary note for mass analysis, sample incubations, and sample preparations involving compounds of peptide aldehyde, including similar aldehyde‐containing metabolites, especially when methanol is present. This study provides the information needed to understand peptide aldehyde behavior at various steps of preclinical in vitro studies in the presence of methanol. It has assisted in the development of the SJA6017 bioanalysis method and will also aid in the development of bioanalysis methods for similar peptide aldehydes.
Effects of block and random copolymerization on the properties of fatty alcohol polyoxypropylene‐polyoxyethylene ether sulfates for enhanced oil recovery
Authors: Chen Zhao , Lin Xue , Chen Qi , Song Binglei , Pei Xiaomei , Cui Zhenggang 
Published: April 2024

AbstractEnhanced oil recovery (EOR) by surfactant flooding has been attractive. Among the surfactants developed alcohol polyoxypropylene (PO)‐polyoxyethylene (EO) ether sulfates (APES), also named extended surfactants, have been proved efficient. However, the arrangement of the PO and EO chains as well as the hydrocarbon structure in the molecules may significantly affect their performances. In this paper three APES, C18−16PO25EO10SO4Na (I), C18−16(PO/EO)25+10SO4Na (II), and C16GA(PO/EO)25+10SO4Na (III) were prepared and investigated, in which APES (I) and APES (II) were designed to have same PO and EO numbers but block and randomly copolymerized respectively with linear C18−16 fatty alcohols as starting agent, whereas the APES (III) was derived from double chain C16 Guerbet alcohol (C16GA) with PO and EO randomly copolymerized. The results show that the block copolymerized APES (I) gives much better brine solubility and counterion tolerance than the randomly copolymerized APES (II) and (III). Although all APES synthesized are highly surface‐active and can reduce Daqing crude oil/simulated brine interfacial tension (IFT) to ultralow by mixing with more hydrophobic surfactants in presence or absence of alkali, the APES (III) gives the lowest IFT due to with double hydrocarbon chains. In addition, it is found that for APES (I) gelation occurs in neutralization process and the corresponding nonionic intermediate is highly viscous, whereas the randomly copolymerized two intermediates are liquid‐like with low viscosity, which may be feasible to apply SO3/air falling film sulfation. This study provided useful information for arrangement of embedded nonionic moiety and hydrocarbon structure in designing extended surfactants for EOR.
Surface miscibility of Gemini surfactants and DOPE in binary mixed monolayers
Authors: Gillis Scott C. , Lall Gurmeet K. , Lu Han‐Jin Philip , Qiu Yilin , Wettig Shawn D. 
Published: April 2024

AbstractSurface pressure (π)–molecular area (A) isotherms were gathered to characterize the packing of binary mixed Langmuir monolayers of 1,2‐dioleoyl‐sn‐glycero‐3‐phosphoethanolamine (DOPE) and one of two Gemini surfactants (GS), N,N‐bis(dimethyloctadecyl)‐1,7‐nonanediammonium dibromide (18‐7‐18) or 1,9‐bis(octadecyl)‐1,1,9,9‐tetramethyl‐5‐amino‐1,9‐nonanediammonium dibromide (18‐7NH‐18) of varying molar fractions. Information about miscibility behavior was derived from the π–A curves by examining the excess free energy of mixing (ΔGexc) that was calculated through the surface area additivity rule. Surface compressibility modulus (Cs−1) was also used to characterize intermolecular interactions. Mutual interactions between GS and DOPE were analyzed in terms of excess Gibbs energy of mixing and the value of this parameter depended strongly on the composition of the mixed film. GS and DOPE are generally miscible as DOPE reduces intermolecular repulsion between highly charged GS molecules leading to the formation of more densely packed mixed monolayers. However, GS and DOPE are immiscible in equimolar mixtures due to tail group packing mismatch between saturated and unsaturated alkyl chains. The prevalence of attractive synergistic interactions in the monolayers studied differs from a previous finding of antagonistic mixing behavior in GS/DOPE micelles. These results contribute to the understanding of GS‐lipid interactions and packing that are critical to the in vitro and in vivo stability of liposomes composed of these molecules used for non‐viral gene therapy applications.
Wild birds and the ecology of antimicrobial resistance: an approach to monitoring
Authors: Guardia Tullia , Varriale Lorena , Minichino Adriano , Balestrieri Rosario , Mastronardi Danila , Russo Tamara Pasqualina , Dipineto Ludovico , Fioretti Alessandro , Borrelli Luca 
Published: April 2024

AbstractTackling the global threat of antimicrobial resistance (AMR) requires joint efforts according to the principles of the One Health approach. In this context, wildlife, and especially wild birds, are recognized as an important bridge between environment, humans and livestock in perpetuating AMR. Over the last decades, important progress has been made in understanding the role of wild birds as carriers of antibiotic‐resistant bacteria and their genes (ARGs) within ecosystems; however, there are still many knowledge gaps regarding transmission sources and routes. This commentary summarizes studies from recent years focusing on AMR in wild birds, highlighting the most frequently found zoonotic bacteria harboring ARGs and the possible exchange scenarios between humans, livestock, and wild birds. We emphasize the need to standardize and optimize a wild bird monitoring approach for AMR surveillance that includes non‐invasive sampling methods, culture‐independent techniques for identification of ARGs, database integration and implementation, and machine learning technology. This multidisciplinary perspective, which could involve veterinarians, biologists, ornithologists, conservationists, and managers, may represent part of the solution, not only for wildlife conservation but also for global health, considering that the goal is to reverse the route of AMR.
A simple method for the quantification of amidic bioavailable dissolved organic nitrogen in seawater
Authors: Letscher Robert T. , Aluwihare Lihini I. 
Published: April 2024

AbstractA targeted method for the quantification of bioavailable amide N found in marine DON (bDON) is presented. The method utilizes mild acid hydrolysis to convert amide N found in proteins and N‐acetyl amino polysaccharides to primary amine containing products that are measured using a highly sensitive (nanomolar range and precision) fluorometric technique with addition of O‐phthaldialdehyde. We find amidic bDON concentrations ranging from 0.08 to 1.82 μM N within waters from the upper 300 m in the southern California Current, Southern California Bight, and subtropical North Pacific representing 15–33% of bulk DON concentrations. Bioassay experiments from the North Pacific revealed consumption of ~20% of the in situ bDON within 5 days. The method represents a simple and rapid tool for the quantification of bioavailable DON concentrations in seawater with improved analytical precision over traditional estimates of bulk DON concentrations.
Impacts of aerosol meteorological feedback on China's yield potential of soybean
Authors: Wang Xinyan , Zhu Linxiao , Hao Yueting , Wang Zilin , Xue Lian , Ding Ke , Huang Xin 
Published: April 2024

AbstractChina's severe particle pollution could affect the regional climate and weather conditions that consequently threaten local to global food security. Yet, the underlying mechanisms and quantitative assessment of aerosols on crop yields remain unknown. Here, by integrating a meteorology–chemistry model and a crop model, we show the impacts of atmospheric aerosols on China's meteorology and soybean yields. We find that the potential yields of soybean would decrease in most parts of China due to direct aerosol radiation effects, while showing diverse responses in parts of the Northeast and North China Plain. Moreover, because of the high sensitivity of soybean growth to water, potential yield fluctuations are closely related to aerosol‐induced precipitation changes in most soybean‐growing regions of China. In particular, aerosols play the most important role during soybean's pod‐filling stage, in which the influence of both precipitation perturbations and negative solar radiative forcing is about 5–10 times that of air temperature on crop yield. Our study thereby identifies aerosol mitigation can bring a notable increase in crop yields, highlighting the potential for important co‐benefits in food security across polluting developing countries.