bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fifty shades of pray: Faith diversity management approaches impact employee satisfaction, support perceptions, and turnover
Authors: Park Lauren S. , Martinez Larry R. 
Published: April 2022

SummaryOrganizational policies and practices related to workforce diversity and inclusion have implications for employees of all backgrounds. With the changing composition of faith identities in the workforce, organizations must change to meet the needs of employees of all faith identities, including employees who do not identify with a faith tradition. Across two studies, we use Miller and Ewest's (2015) Faith and Work Organizational Framework to explore how different organizational approaches to faith diversity management impact the job outcomes of employees of differing faith identities. Results indicate that “faith‐friendly” organizations, characterized by a proactively inclusive approach, yield the highest employee satisfaction and perceptions of supervisor and organizational support and lowest intentions to turn over for employees of all and no faith identities. This was supported when examined with both a cross‐sectional survey and using experimental manipulation. Implications for theory and practice are discussed.
Managing your feelings at work, for a reason: The role of individual motives in affect regulation for performance‐related outcomes at work
Authors: Bindl Uta K. , Parker Sharon K. , Sonnentag Sabine , Stride Christopher B. 
Published: April 2022

SummaryAffect regulation matters in organizations, but research has predominantly focused on how employees regulate their feelings. Here, we investigate the motives for why employees regulate their feelings. We assess employees' engagement in affect regulation based on distinct motives and investigate their implications for performance‐related outcomes. We develop a framework and measure for distinct types of motivated affect regulation at work, comprising hedonic affect regulation (motive to feel better), task‐related affect regulation (motive to reach an achievement‐related goal), and social affect regulation (motive to get along with others). Study 1 (N = 621 employees) indicated each type of motivated affect regulation was distinct from the others. In Study 2 (N = 80 employees; n = 821 observations), in line with our theorizing, hedonic and task‐related affect regulation were both positively associated with performance‐related outcomes via perceived affect‐regulation success. In addition, the link between task‐related affect regulation and perceived affect‐regulation success was strongest for those individuals who habitually engage in deep acting. By contrast, social affect regulation did not predict perceived affect‐regulation success or performance‐related outcomes. Understanding why employees choose to manage their feelings advances insights on individual motives in employee behavior and provides new avenues for improving performance outcomes in organizations.
Phonon, magnon and magnetic properties of Cu‐doped NiO nanostructures
Authors: Sunny Anoop , Balasubramanian Karthikeyan 
Published: April 2022

AbstractWe have extensively studied the phonon, magnon and magnetic properties of copper (Cu)‐doped nanocrystalline nickel(II) oxide (NiO) using room‐temperature Raman spectroscopy. The required nanomaterials were synthesized using a simple sol–gel method. The phonon modes of NiO nanoparticles have been observed in a large background of magnon excitations, and the wavenumbers of phonon modes were deviated from the theoretical predictions due to the phonon–magnon interaction. The variations of magnon excitations with the Cu doping concentrations were investigated based on reduced spin correlation length and superexchange interaction. The two‐magnon (2M) excitations were suppressed and blue shifted with Cu doping concentration indicating the variations in the magnetic behaviour. The modification of antiferromagnetic nature and the formation of multiphase magnetic properties of NiO nanoparticles were investigated using a vibrating sample magnetometer (VSM) and discussed in detail. The variations in the phonon and magnon excitations can be used to probe the magnetic nature and spintronic applications of NiO nanoparticles.
Identifying the polymorphs of serpentine with micro‐Raman spectroscopy: Clear separation in biaxial plots
Authors: Kashima Aruto , Urashima Shu‐hei , Yui Hiroharu 
Published: April 2022

AbstractSerpentine, Mg3Si2O5(OH)4, is a phyllosilicate mineral having several polymorphs, that is, antigorite, chrysotile, lizardite, and polygonal. Because the crystal structure is dependent on thermodynamic environment where serpentine was produced, it has been desired for the polymorphs to be distinguished for geoscientific investigation. While crystal structures are analyzed by X‐ray crystallography in many cases, it is difficult to apply the X‐ray technique to small and/or non‐uniform samples. In the present study, we achieved to unambiguously determine the serpentine's polymorphs with microscopic Raman spectroscopy. Among various Raman‐active vibrational modes, we focused on the SiOSi symmetric stretching mode and bending vibration of SiO4 units because layer structure of SiO4 tetrahedral sheets (T‐sheets) alters with the crystal structure. With the peak wavenumbers determined with subpixel accuracy, the polymorphs were clearly separated in biaxial plots of the peak wavenumbers. As a result, we succeeded in distinguishing lizardite and polygonal serpentine, which were believed to be indistinguishable from Raman spectra, for the first time. Because microscopic Raman spectroscopy is nondestructive method that requires neither large single crystals nor any pretreatment of samples, it is applicable to small (<1 mm), fragile, rare, and/or heterogeneous samples. This feature advantages our technique for the investigation on non‐uniform and a trace amount of serpentines in terrestrial mantle rocks from seafloor and in meteorites from asteroids carrying complex histories of their formation and aqueous alteration.
Unraveling the effect of surfactant chain length on the binding interaction of curcumin with cationic and non‐ionic micelles
Authors: Das Priyabrata , Mandal Pabitra , Shit Debatri , Pramanik Smritimoy 
Published: April 2022

AbstractMajor drawbacks of using curcumin as a potential multifunctional drug are its very low water solubility and lack of bio‐availability. For this purpose we have used surfactants to increase the solubility of curcumin in aqueous medium and to assess its hydrophilic and hydrophobic interactions with micelles. In order to understand the molecular mechanism of the interaction of curcumin with surfactants, we have employed cationic and non‐ionic surfactants. We have used hexadecyl(cetyl)trimethylammonium bromide (CTAB), tetradecyltrimethylammonium (TTAB) and dodecyltrimethylammonium bromide (DTAB) as cationic surfactants of varying hydrocarbon tail dimension and octylphenol ethoxylate with 10 moles of ethyelene oxide (OPE‐10), octylphenol ethoxylate with 16 moles of ethyelene oxide (OPE‐16), octylphenol ethoxylate with 30 moles of ethyelene oxide (OPE‐30) as non‐ionic surfactants of varying poly(ethylene oxide) hydrophilic head dimension. From the increase in fluorescence intensity of curcumin in the presence of surfactants, we had estimated the apparent binding constant (Kb) of curcumin‐micelle complex formation. The evaluated Kb values between curcumin and CTAB, TTAB, and DTAB were 7.75 × 105, 3.44 × 105, and 0.78 × 105 L mol−1, respectively. In the case of non‐ionic surfactants, the estimated Kb values of curcumin with OPE‐10, OPE‐16, and OPE‐30 were 4.90 × 106, 3.82 × 106, and 0.58 × 106 L mol−1, respectively. Thus, it was found that Kb values were somehow greater in the case of non‐ionic surfactants than cationic surfactants. From the fluorescence quenching study it was revealed that the probable location of curcumin was the Stern layer and the palisade layer in the case of cationic and non‐ionic micelles, respectively. Our results might be useful to overcome challenges associated with the delivery of curcumin as a multifunctional drug molecule.
Experimental study on the influence of wetting agent addition on the water adsorption and impact crushing dust generation of coal
Authors: Zheng Lei , Li Dewen , Xu Shengdong 
Published: April 2022

AbstractThis study is aimed at investigating the influence of wetting agent addition on the water adsorption capacity, dust generation capacity and dust particle size distribution of coal. To achieve this aim, nonylphenol ethoxylate 10 wetting agent was used as an additive to prepare a 0.1% concentration solution, and a comparative test was conducted on different coal types from three coal mines in different provinces. The test results suggest that the natural saturated water adsorption time of coal was shortened by 33%–67% through wetting agent addition. Therefore, wetting agents are effective for enhancing water injection operations that require a limited construction period. The influence of wetting agent addition on the saturated water adsorption amount differed significantly for different coal types, and the wetting agent did not generally improve the saturated water adsorption rate. However, wetting agent addition alone did not lower the dust generation rate from coal. For a given moisture content, the wetting agent influenced the particle size distribution of dust generated during impact crushing differently between types of coal. For the three coal types investigated, wetting agent addition reduced the concentration of airborne by up to 8%.
Phosphorylated walnut protein isolate as a nanocarrier for enhanced water solubility and stability of curcumin
Authors: Ling Min , Yan Chunjun , Huang Xuan , Xu Yanfei , He Changwei , Zhou Zheng 
Published: April 2022

AbstractBACKGROUNDThe low solubility and poor dispersion of alkaline‐extracted walnut protein isolate (AWPI) limit its application as a protein‐based carrier for the delivery of poorly soluble nutraceuticals, including curcumin. This work investigated the physicochemical characteristics of phosphorylated walnut protein isolate (PWPI) extracted using sodium tripolyphosphate (STP) and evaluated its encapsulation ability.RESULTSThe results of phosphorus determination, X‐ray photoelectron spectroscopy (XPS), and Fourier transform infrared (FTIR) spectroscopy confirmed the phosphorylation of the extracted PWPI. Circular dichroism (CD) analysis indicated that PWPI contained higher α‐helix and lower β‐sheet contents than AWPI. The PWPI prepared at pH 9.0 and 11.0 showed significantly improved solubility, similar surface hydrophobicity, and increased surface charges compared to the AWPI. Fluorescence quenching experiments indicated that the binding affinity of curcumin to PWPI was significantly higher than that of AWPI. When bound to PWPI, the solubility of curcumin in aqueous solution was greatly enhanced, with an 8700‐fold increase at a nanocomplex concentration of 10 mg mL−1. The complexation of curcumin with PWPI significantly improved the storage stability of curcumin. Additionally, the PWPI–curcumin nanocomplexes showed significantly increased antioxidant capacity.CONCLUSIONPhosphorylated walnut protein isolate showed greatly improved solubility and strong encapsulation ability, making it a promising nanocarrier for curcumin. © 2022 Society of Chemical Industry.
The Correlation Between the Sonographic Course of Transobturator Slings and Sling‐Related Pain
Authors: Alshiek Jonia , Wei Qi , Javadian Pouya , Quiroz Lieschen H. , Baumfeld Yael , Shobeiri S. Abbas 
Published: April 2022

ObjectivesTo determine whether transobturator slings follow a consistent path and whether there is an association between ultrasonographically visualized sling pattern or position with sling‐related pain.MethodsThis was a cross‐sectional retrospective pilot study. We evaluated women who were presented to our clinic for pain or other urogynecologic symptoms following transobturator sling placement between 2009 and 2014. Patients had undergone a 3‐dimensional endovaginal pelvic floor ultrasound, assessing minimal levator hiatus, antero‐posterior diameter, left–right diameter, and the hiatal shape. The mesh patterns were categorized as seagull patterns (normal), lopsided, flat, and convoluted.ResultsA total of 68 cases were reviewed. Fifty patients reported pain, and 18 did not. There were wide variations in the course of the slings. The sling center‐ minimal levator hiatus position ranged 14.8 mm below and 17.9 mm above the minimal levator hiatus. The lateral arm insertion points ranged between 17.1 mm below and 16.6 mm above the minimal levator hiatus. The right arm insertion points ranged between 9.6 mm below and 18.8 mm above the minimal levator hiatus. Thirty‐five of 68 (70%) patients with pain and 13 of 18 (72.2%) without had abnormal sling patterns. The abnormal sling shape was not correlated with pain (P = 1). The levator shape trended toward a statistical significant correlation with sling shape abnormality (P = .084).ConclusionsThis population of women with transobturator sling complications demonstrated wide variations in anatomic paths. Neither the abnormal sling shape nor the distance of the center of the tape from the minimal levator hiatus level were correlated with pain.
Inter‐laboratory differences in the apparent quantum yield for the photochemical production of dissolved inorganic carbon in inland waters and implications for photochemical rate modeling
Authors: Koehler Birgit , Powers Leanne C. , Cory Rose M. , Einarsdóttir Karólína , Gu Yufei , Tranvik Lars J. , Vähätalo Anssi V. , Ward Collin P. , Miller William L. 
Published: April 2022

AbstractSolar radiation initiates photochemical oxidation of dissolved organic carbon (DOC) to dissolved inorganic carbon (DIC) in inland waters, contributing to their carbon dioxide emissions to the atmosphere. Models can determine photochemical DIC production over large spatiotemporal scales and assess its role in aquatic C cycling. The apparent quantum yield (AQY) spectrum for photochemical DIC production, defined as mol DIC produced per mol chromophoric dissolved organic matter‐absorbed photons, is a critical model parameter. In previous studies, the principle for the determination of AQY spectra is the same but methodological specifics differ, and the extent to which these differences influence AQY spectra and simulated aquatic DIC photoproduction is unclear. Here, four laboratories determined AQY spectra from water samples of eight inland waters that are situated in Alaska, Finland, and Sweden and span a nearly 10‐fold range in DOM absorption coefficients. All AQY values fell within the range previously reported for inland waters. The inter‐laboratory coefficient of variation (CV) for wavelength‐integrated AQY spectra (300–450 nm) averaged 38% ± 3% SE, and the inter‐water CV averaged 63% ± 1%. The inter‐laboratory CV for simulated photochemical DIC production (conducted for the five Swedish lakes) averaged 49% ± 12%, and the inter‐water CV averaged 77% ± 10%. This uncertainty is not surprising given the complexities and methodological choices involved in determining DIC AQY spectra and needs to be considered when applying photochemical rate modeling. Thus, we also highlight current methodological limitations and suggest future improvements for DIC AQY determination to reduce inter‐laboratory uncertainty.
Rapid Nondestructive Detection Enabled by an Ultra‐Broadband NIR pc‐LED
Authors: Suo Hao , Wang Yu , Zhao Xiaoqi , Zhang Xin , Li Leipeng , Guan Kuiwen , Ding Wenge , Li Panlai , Wang Zhijun , Wang Feng 
Published: April 2022

AbstractThe rapid development of near‐infrared (NIR) spectroscopic techniques has greatly stimulated the discovery of novel broadband NIR‐emitting phosphors as advanced light sources. Herein, a novel double‐perovskite phosphor La2MgHfO6:Cr3+/Yb3+ that displays ultra‐broadband NIR emissions with a full‐width at half maximum (FWHM) of 333 nm is reported. The remarkable luminescence property stems from the multiple crystallographic sites, relatively weak crystal field, and efficient Cr3‐to‐Yb3+ energy transfer (ET). The site occupation of Cr3+ is elaborately verified by the Rietveld refinement and first‐principles calculation. By controlling the ET process, the internal/external quantum efficiency (IQE/EQE), bandwidth, and thermal stability of NIR emissions are substantially improved. The as‐prepared phosphors are further integrated into a miniaturized NIR light‐emitting diode (LED) package, demonstrating superior performance in rapid nondestructive detection of structural failure in thin electronic cables. The results described here provide a novel pointcut for designing broadband NIR‐emitting phosphors with desired optical properties toward applications in industrial inspection and medical diagnosis.
5,12‐Dialkyl‐5,12‐dihydroindolo[3,2‐a]carbazole‐Based Oxime‐Esters for LED Photoinitiating Systems and Application on 3D Printing
Authors: Hammoud Fatima , Giacoletto Nicolas , Nechab Malek , Graff Bernadette , Hijazi Akram , Dumur Frédéric , Lalevée Jacques 
Published: April 2022

AbstractIn order to expand the application of oxime‐esters (OXEs) and to introduce a one‐component photoinitiating system of high performance in visible light photopolymerization, a series of 5,12‐dialkyl‐5,12‐dihydroindolo[3,2‐a]carbazole‐based oxime‐esters with visible light absorption abilities is designed and synthesized. Notably, when irradiated with light‐emitting diodes at 405 nm, the proposed structures can undergo a direct cleavage of the NO bond followed by decarboxylation, generating free radicals capable to efficiently initiate free radical photopolymerizations (FRP). Furthermore, the new OXEs showed good thermal initiation abilities and can be used as dual photo and thermal initiators. An interesting structure/reactivity/efficiency relationship can be obtained by comparing the reactivity of the different radicals generated upon photoexcitation at identical chromophore but also by comparing the photoinitiating ability of the hexyl derivatives (1)–(10) with that of methyl derivatives (1′)–(10′) characterized by a lower solubility than the previous series in resins. Chemical mechanisms are studied through different techniques including real‐time Fourier transform infrared spectroscopy, UVvisible absorption spectroscopy, fluorescence (time‐resolved or steady‐state) as well as molecular modeling calculations. To finish, OXEs are incorporated in new photosensitive 3D printing resins, furnishing 3D objects with a remarkable spatial resolution.
Atomic Scale Investigation on the Structural and Mechanical Properties of Carbon Nanotubes Reinforced Polylactic acid Composites
Authors: Wei Qinghua , Zhou Jiayi , Sun Daocen , Yang Rongbin , Li Mingyang , Wang Yanmei , Zhang Juan , Wang Yanen 
Published: April 2022

AbstractMolecular characterization of nanocomposites is of great significance for the design, prediction, and understanding of the structure and properties of nanocomposites. Herein, a molecular dynamics simulation method is employed to investigate the structures, thermodynamical, and mechanical properties of carbon nanotubes (CNTs) reinforced polylactic acid (PLA) composites, as well as the effects and mechanisms of CNTs on the structure and mechanical properties of PLA matrices. The concentration profile result suggests that the type of CNTs has a significant influence on the distribution of PLA molecular chains, with relative concentration profiles around CNTs in the order of PLA/CNTs‐COOH > PLA/CNTs‐OH > PLA/CNTs‐NH2 > PLA/CNTs. Incorporating CNTs into the PLA matrix decreases the FFV and mobility of the polymer, where the trend is PLA > PLA/CNTs > PLA/CNTs‐NH2 > PLA/CNTs‐OH > PLA/CNTs‐COOH. Meanwhile, the tensile properties of the PLA matrix increase with the incorporation of CNTs, and the trend agrees with the results of fractional free volume (FFV) and relative concentration distribution. Finally, the analysis results of interaction illustrate that hydrogen bond interactions between PLA molecular chains and the functional groups on CNTs surface are involved in the adsorption of the polymers on the CNTs surface, thus affecting their interfacial interaction, structure, and properties.
Automated estimation of total lung volume using chest radiographs and deep learning
Authors: Sogancioglu Ecem , Murphy Keelin , Th.Scholten Ernst , Boulogne Luuk H. , Prokop Mathias , van Ginneken Bram 
Published: April 2022

AbstractBackgroundTotal lung volume is an important quantitative biomarker and is used for the assessment of restrictive lung diseases.PurposeIn this study, we investigate the performance of several deep‐learning approaches for automated measurement of total lung volume from chest radiographs.MethodsAbout 7621 posteroanterior and lateral view chest radiographs (CXR) were collected from patients with chest CT available. Similarly, 928 CXR studies were chosen from patients with pulmonary function test (PFT) results. The reference total lung volume was calculated from lung segmentation on CT or PFT data, respectively. This dataset was used to train deep‐learning architectures to predict total lung volume from chest radiographs. The experiments were constructed in a stepwise fashion with increasing complexity to demonstrate the effect of training with CT‐derived labels only and the sources of error. The optimal models were tested on 291 CXR studies with reference lung volume obtained from PFT. Mean absolute error (MAE), mean absolute percentage error (MAPE), and Pearson correlation coefficient (Pearson's r) were computed.ResultsThe optimal deep‐learning regression model showed an MAE of 408 ml and an MAPE of 8.1% using both frontal and lateral chest radiographs as input. The predictions were highly correlated with the reference standard (Pearson's r = 0.92). CT‐derived labels were useful for pretraining but the optimal performance was obtained by fine‐tuning the network with PFT‐derived labels.ConclusionWe demonstrate, for the first time, that state‐of‐the‐art deep‐learning solutions can accurately measure total lung volume from plain chest radiographs. The proposed model is made publicly available and can be used to obtain total lung volume from routinely acquired chest radiographs at no additional cost. This deep‐learning system can be a useful tool to identify trends over time in patients referred regularly for chest X‐ray.
Proteome and secretome analysis of pancreatic cancer cells
Authors: Li Xiang , Liu Hui , Dun Matthew D. , Faulkner Sam , Liu Xiaoming , Jiang Chen Chen , Hondermarck Hubert 
Published: April 2022

AbstractPancreatic cancer is a lethal malignancy and no screening biomarker or targeted therapy is currently available. Here, we performed a shotgun proteomic label‐free quantification (LFQ) to define protein changes in the cellular proteome and secretome of four pancreatic cancer cell lines (PANC1, Paca44, Paca2, and BXPC3) versus normal human pancreatic ductal epithelial cells (HPDE). In the cellular proteome and secretome, 149 and 43 proteins were dysregulated in the most cancer cell lines, respectively. Using Ingenuity Pathway Analysis (IPA), the most dysregulated signaling pathways in pancreatic cancer cells included the activation of epidermal growth factor receptor (EGFR), phosphoinositide 3‐kinase (PI3K), protein kinase B (AKT), extracellular regulated kinase (ERK), and the deactivation of type‐I interferon (IFN) pathways, which could promote cancer cell progression and decrease antitumor immunity. Parallel reaction monitoring (PRM) mass spectrometry was used to confirm the changes of seven regulated proteins quantified by LFQ: EGFR, growth/differentiation factor 15 (GDF15), protein‐glutamine gamma‐glutamyltransferase 2 (TGM2), leukemia inhibitory factor (LIF), interferon‐induced GTP‐binding protein Mx1 (MX1), signal transducer and activator of transcription 1 (STAT1), and serpin B5 (SERPINB5). Together, this proteomic analysis highlights protein changes associated with pancreatic cancer cells that should be further investigated as potential biomarkers or therapeutic targets.