bluuebunny/crossref_metadata_2025_split huggingface dataset:
Privacy‐preserving and efficient user matching based on attribute encryption in mobile social networks
Authors: Wu Lei , Zhao Shengnan , Wei Xia , Meng Lingzhen 
Published: November 2021

SummaryWith the rapid popularity of social networking platforms, users can be matched when sharing their profiles. However, there is a risk of leakage of sensitive user information during the user matching process, which leads to the lack of user privacy protection. In this paper, we propose a privacy protection scheme based on the encryption of hidden attributes during user matching in mobile social networks, which uses linear secret sharing scheme (LSSS) as the access structure based on ciphertext policy attribute‐based encryption (CP‐ABE), and the match server can perform friend recommendation by completing bi‐directional attribute matching determination without disclosing user attribute information. In addition, the use of selective keywords protects the privacy of requesters and publishers in selecting keywords and selecting plaintext attacks. The scheme reduces the encryption and decryption overhead for users by dividing encryption into a preparation phase and an online phase and shifting most of the decryption overhead from the requester to the match server. The experimental results show that the scheme ensures user privacy while effectively reducing communication overhead.
Elevated depressive symptoms among newer and younger healthcare workers in Japan during the COVID‐19 pandemic
Authors: Katsuta Narimasa , Ito Kanami , Fukuda Hiroshi , Seyama Kuniaki , Hori Satoshi , Shida Yuka , Nagura Rie , Nojiri Shuko , Sato Hiroyuki 
Published: November 2021

AbstractAimDepression is a frequent outcome of long‐term stress, but no studies have examined depression rates among Japanese healthcare workers fighting the COVID‐19 pandemic. Therefore, we conducted a web‐based interview of hospital employees to assess depression prevalence and factors.MethodsThis observational cohort study was conducted from July to August, 2020, as part of a mandatory health checkup of Juntendo University Hospital employees (Tokyo, Japan). A total of 4239 participants completed a web‐based questionnaire on medical history and current health status. The Center for Epidemiologic Studies Depression Scale (CES‐D) was used for self‐assessment, with a score of ≥16 considered to indicate depression.ResultsAmong all employees, the proportion of depression was 31.3% in 2020, the highest measured in the last 10 years and substantially greater than the pre‐pandemic value in 2019 (27.5%). The proportion of depression for 2020 was significantly higher in new recruits than in employees with more than 2 years of experience (47.0% vs 29.9%, respectively, P < .0001) and in new recruits in 2019 (26.4%, P < .0001). When subdivided by occupation, nurses demonstrated the highest depression rate (43.2%), followed by paramedics (35.1%) and clerks (31.6%), whereas residents (22.9%), doctors (20.4%), teaching staff (18.0%), and part‐time staff (15.3%) reported lower depression rates. The positive CES‐D score significantly correlated with age (P < .0001).ConclusionsYounger and newer employees demonstrated the highest rates of depression independent of occupation. Therefore, mental healthcare programs focusing on these vulnerable groups need to be established.
Using the nursing delirium screening scale in assessing postoperative delirium: A meta‐regression
Authors: Ho Mu‐Hsing , Choi Edmond Pui Hang , Chiu Hsiao‐Yean , Shen Hsiao Shu‐Tai , Traynor Victoria 
Published: November 2021

AbstractThe nursing delirium screening scale (Nu‐DESC) was developed for the rapid assessment of delirium, but little is known regarding the performance of the Nu‐DESC in assessing postoperative delirium. The purpose of this systematic review and meta‐analysis was to review and summarize the evidence of the diagnostic accuracy of the Nu‐DESC in assessing postoperative delirium. The EMBASE, MEDLINE, Cochrane Library, CINAHL, and a Chinese e‐Journal database were searched from the period of the inception of the Nu‐DESC to June 18, 2020. Participants were adult (age ≥ 18 years) postoperative patients who received any type of surgery and any method of anesthesia. The quality assessment of diagnostic accuracy studies‐2 was employed to assess the risk of bias among the selected studies, and meta‐regression analyses were used to detect sources of between‐study heterogeneity. Eleven studies involving 2062 postoperative patients in surgical settings were included. The Nu‐DESC revealed a pooled sensitivity of 0.73 (95% confidence interval, 0.44–0.90) and a specificity of 0.93 (0.87–0.96). The area under the summary receiver operating characteristics curve was 0.94 (0.91–0.96), which also confirmed the accuracy of the Nu‐DESC. Covariates, including the region of study and the standard reference used, were identified as possible sources of heterogeneity in the meta‐regression. The findings of this review can update existing clinical guidelines for postoperative delirium. On the basis of its satisfactory diagnostic performance, we suggest that the Nu‐DESC could be considered for nurses and allied health professionals for assessing postoperative delirium. However, because of the heterogeneity, the result of this meta‐analysis should be considered with caution.
Factors affecting the analytical performance of molecularly imprinted mesoporous silica
Authors: Susanti Ike , Mutakin Mutakin , Hasanah Aliya N. 
Published: November 2021

AbstractSample preparation was carried out for the removal of interfering substances in the complex matrix sample. Molecularly imprinted mesoporous silica (MIP‐MS) is the specific adsorbent used in the sample preparation for solid‐phase extraction. MIP‐MS can increase the binding capacity, selectivity, and site accessibility of the molecular target. MIP‐MS was synthesized using several materials, such as a silica precursor, surfactant, organosilane, functional monomer, and template molecule. Each material influences the formation and analytical performance of the MIP‐MS. This review discusses the factors affecting the analytical performance in MIP‐MS synthesis, such as the template molecular concentration, the ratio of the silica precursor and organosilane concentration, the type of functional monomer, and the functional monomer concentration. In addition, factors affecting the analytical performance in the adsorption–desorption study, such as pH, mass sorbent, eluting solvent, and washing solvent, to reach high‐analyte recovery are also described.
Synergistic Effect of Iodide Ion and N‐methyl‐N,N,N‐trioctylammonium Chloride on Corrosion Inhibition of Carbon Steel in 0.5 M H2SO4: Experimental and Computational Approach
Authors: Singh Priyanka , Singh Chauhan Dheeraj , Singh Chauhan Sampat , Ahmad Quraishi Mumtaz , Swarupa Tripathy Sushree 
Published: November 2021

AbstractAn ionic liquid Aliquat 336 was for the first time analyzed for its adsorption and corrosion inhibition behavior for carbon steel surface in 0.5 M H2SO4. The inhibition performance was studied using gravimetric and electrochemical techniques supported by surface analytical measurements. The inhibitor exerted an efficiency of 96.53 % at 12×10−6 M. Significant improvement was achieved with iodide ions, which at 3.01×10−4 M, produced a remarkable rise in the efficiency to 99.03 %. The adsorption of the inhibitor on the metallic surface followed the Langmuir isotherm at 298 K in the concentration range of 2.47 to 12.37×10−6 M. Polarization studies indicated a mixed‐mode of inhibitor action with the cathodic predominance. The SEM studies showed a smooth metal surface in contact with the inhibitor, and a representative decrease in surface roughness was observed by AFM studies. Monte Carlo simulations showed inhibitor adsorption in a flat orientation on the metal surface with high adsorption energy.
Grinding Synthesis of 2‐Amino‐4H‐benzo[b]pyran Derivatives Catalyzed By Highly Efficient GPTMS/Guanidine Protected Magnetic Nanoparticles**
Authors: Taherkhani Hooman , Ramazani Ali , Sajjadifar Sami , Aghahosseini Hamideh , Rezaei Aram , Rezayati Sobhan 
Published: November 2021

AbstractIn this study, we synthesized the GPTMS‐guanidine attached to the magnetic nanoparticles (Fe3O4@SiO2@GPTMS@guanidine) as a novel and efficient heterogeneous nanocatalyst through cheap and available materials. Then, the Fe3O4@SiO2@GPTMS@guanidine nanoparticles were characterized by various analyses such as fourier transform infrared spectroscopy (FT‐IR), thermogravimetric analysis (TGA), X‐ray diffraction (XRD), scanning electron microscopy (SEM), transmission electron microscopy (TEM), energy‐dispersive X‐ray spectroscopy (EDX), vibrating sample magnetometry (VSM), and Brunauer–Emmett–Teller (BET). The Fe3O4@SiO2@GPTMS@guanidine nanoparticles were used for the effective and green synthesis of 2‐amino‐4H‐benzo[b]pyran derivatives by grinding method through one‐pot three‐component reactions of dimedone, various aromatic aldehydes and malononitrile at room temperature. Moreover, the reaction in the water as green solvent was checked and acceptable results were obtained. The benefits of these methods include reusability of the Fe3O4@SiO2@GPTMS@guanidine, easy purification, and synthesis of derivatives with high yields and short reaction time. The catalyst has the ability to react up to at least 9 times, without a significant reduction in its activity.
Deep Eutectic Solvent Mediated Carbonylation of Amines and Alcohols by Using Dimethyl Carbonate: Selective Symmetrical Urea and Organic Carbonate Synthesis
Authors: Karimi Farzaneh , Shariatipour Monire , Heydari Akbar 
Published: November 2021

AbstractThis work presents one‐pot synthesis of symmetric organic carbonates and ureas by employing cheap and biodegradable deep eutectic solvent as the catalyst and reaction media. The effect of different reaction parameters such as temperature, DMC/amines and alcohols ratio and reaction time were investigated on the reaction efficiency. This new protocol provides a simple, fast, and sustainable approach and proceeds with high efficiency with aliphatic and aromatic amines and alcohols as well. Finally, applicability of this methodology was also examined for reaction of nucleophiles such as phenyl hydrazine and phenyl glycine with dimethyl carbonate. Interestingly, it was found that this reaction system obtained good yields of product for both of them.
Bright Electroluminescent White‐Light‐Emitting Diodes Based on Carbon Dots with Tunable Correlated Color Temperature Enabled by Aggregation
Authors: Wang Zhibin , Jiang Naizhong , Liu Menglong , Zhang Ruidan , Huang Feng , Chen Daqin 
Published: November 2021

AbstractCarbon dots (CDs) as one of the most promising carbon‐based nanomaterials are inspiring extensive research in optoelectronic applications. White‐light‐emitting diodes (WLEDs) with tunable correlated color temperatures (CCTs) are crucial for applications in white lighting. However, the development of high‐performance CDs‐based electroluminescent WLEDs, especially those with adjustable CCTs, remains a challenge. Herein, white CDs‐LEDs with CCTs from 2863 to 11 240 K are successfully demonstrated by utilizing aggregation‐induced emission red‐shifting and broadening of CDs. As a result, a series of warm white, pure white, and cold white CDs‐LEDs are realized with adjustable emissions in sequence along the blackbody radiation curve. These CDs‐LEDs reach maximum brightness and external quantum efficiency up to 1414–4917 cd m−2 and 0.08–0.87%, respectively, which is among the best performances of white CDs‐LEDs. To the best of the authors′ knowledge, this is the first time that CCT‐tunable white electroluminescent CDs‐LEDs are demonstrated through controlling the aggregation degrees of CDs.
ROS generation is involved in titanium dioxide nanoparticle‐induced AP‐1 activation through p38 MAPK and ERK pathways in JB6 cells
Authors: Kong Lu , Barber Tabatha , Aldinger Joni , Bowman Linda , Leonard Stephen , Zhao Jinshun , Ding Min 
Published: November 2021

AbstractTitanium dioxide (TiO2) is generally regarded as a nontoxic and nongenotoxic white mineral, which is mainly applied in the manufacture of paper, paint, plastic, sunscreen lotion and other products. Recently, TiO2 nanoparticles (TiO2 NPs) have been demonstrated to cause chronic inflammation and lung tumor formation in rats, which may be associated with the particle size of TiO2. Considering the important role of activator protein‐1 (AP‐1) in regulating multiple genes involved in the cell proliferation and inflammation and the induction of neoplastic transformation, we aimed to evaluate the potency of TiO2 NPs (≤ 20 nm) on the activation of AP‐1 signaling pathway and the generation of reactive oxygen species (ROS) in a mouse epidermal cell line, JB6 cells. MTT, electron spin resonance (ESR), AP‐1 luciferase activity assay in vitro and in vivo, and Western blotting assay were used to clarify this problem. Our results indicated that TiO2 NPs dose‐dependently caused the hydroxyl radical (·OH) generation and sequentially increased the AP‐1 activity in JB6 cells. Using AP‐1‐luciferase reporter transgenic mice models, an obvious increased AP‐1 activity was detected in dermal tissue after exposure to TiO2 NPs for 24 h. Interestingly, TiO2 NPs increased the AP‐1 activity via stimulating the expression of mitogen‐activated protein kinases (MAPKs) family members, including extracellular signal‐regulated protein kinases (ERKs), p38 kinase, and C‐Jun N‐terminal kinases (JNKs). Of note, the AP‐1 activation induced by TiO2 NPs could be blocked by specific inhibitors (SB203580, PD98059, and SP 600125, respectively) that inhibit ERKs and p38 kinase but not JNKs. These findings indicate that ROS generation is involved in TiO2 NPs‐induced AP‐1 activation mediated by MAPKs signal pathway.
The Frontier of Macroeconomic Modelling: Proceedings of the JRC-IEA Workshop 2017
Authors: Licandro Omar 
Published: November 2021

AbstractThis chapter discusses the Proceedings of the JRC-IEA Roundtable, which objective was to promote a technical debate on the recent developments of DSGE and alternative modelling strategies, the main mechanisms at play and their effectiveness in assessing the impact of R&D and innovation policies. Leading academics presented state-of-the-art macroeconomic models in the area of economic growth and innovation. It follows a debate between academics and practitioners trying to figure out the key elements of a macro model designed to evaluate innovation policies should include.
Taking Stock
Authors: Benedetti Fasil Cristiana , Sanchez-Martinez Miguel , Ravet Julien 
Published: November 2021

AbstractThis Chapter presents the EU policy context that underlies the need for macroeconomic modelling for the conduct of impact evaluations of R&I funding programmes and provides a critical summary and comparison of the different ex-ante macroeconomic impact assessments of the Horizon Europe Framework Programme 2021-2027 presented in the previous three chapters. In particular, it focuses on the results obtained with the three different modelling approaches apdopted, and links them to the dissimilar properties of each of these models.
Overview of R and RStudio
Authors: Hair Joseph F. , Hult G. Tomas M. , Ringle Christian M. , Sarstedt Marko , Danks Nicholas P. , Ray Soumya 
Published: November 2021

AbstractComputational statistics is now an increasingly popular method of analysis for researchers that combines a vast array of algorithms, statistical methods, and the power of functional coding. The R programming language, in particular, has benefitted from this development alongside of traditional graphical user interface (GUI) software. Today, it has become the language of choice for empirical researchers. In this chapter, we introduce the R programming language as well as its popular development environment in the form of RStudio. We walk the reader through downloading both the R language and the RStudio integrated development environment (IDE). Then, we discuss the software layout and demonstrate how to interact with the software. Finally, we address creating and managing R projects and scripts, gaining access to documentation and help via various sources. This chapter is not intended as a tutorial on the writing of code in the R programming language. We do, however, provide useful open-source resources for learning R, which can be accessed from the R console RStudio environment.
The SEMinR Package
Authors: Hair Joseph F. , Hult G. Tomas M. , Ringle Christian M. , Sarstedt Marko , Danks Nicholas P. , Ray Soumya 
Published: November 2021

AbstractSEMinR is a software package developed for the R statistical environment (R Core Team, 2021). The package includes a user-friendly syntax for creating and estimating structural equation models using estimators such as partial least squares. In this chapter, we introduce the syntax to create, estimate, and report structural equation models using SEMinR. We demonstrate the four steps to specifying and estimating a structural equation model: (1) loading and cleaning the data, (2) specifying the measurement models, (3) specifying the structural model, and (4) estimating, bootstrapping, and summarizing the model. This chapter also describes how to export results and figures from R for professional, publication-quality reporting.
Evaluation of the Structural Model
Authors: Hair Joseph F. , Hult G. Tomas M. , Ringle Christian M. , Sarstedt Marko , Danks Nicholas P. , Ray Soumya 
Published: November 2021

AbstractStructural model assessment in PLS-SEM focuses on evaluating the significance and relevance of path coefficients, followed by the model’s explanatory and predictive power. In this chapter, we discuss the key metrics relevant to structural model assessment in PLS-SEM. We also discuss model comparisons and introduce key criteria for assessing and selecting a model given the data and a set of competing models.
Moderation Analysis
Authors: Hair Joseph F. , Hult G. Tomas M. , Ringle Christian M. , Sarstedt Marko , Danks Nicholas P. , Ray Soumya 
Published: November 2021

AbstractWhen moderation is present, the strength and even the direction of a relationship between two constructs depend on a third construct (i.e., the moderator). In other words, the strength of the relationship between two constructs changes as the levels of the moderator construct change. As an example, the relationship between customer satisfaction and customer loyalty may not be the same for all customers but may differ depending on moderators such as income, age, or switching costs. As such, moderation can (and should) be viewed as a means of accounting for heterogeneity in the data. In this chapter, we explain the moderation analysis procedure first. We then illustrate its application in PLS-SEM using the SEMinR package and the corporate reputation model example.
blocks_3d: software for general 3d conformal blocks
Authors: Erramilli Rajeev S. , Iliesiu Luca V. , Kravchuk Petr , Landry Walter , Poland David , Simmons-Duffin David 
Published: November 2021

Abstract
We introduce the software blocks_3d for computing four-point conformal blocks of operators with arbitrary Lorentz representations in 3d CFTs. It uses Zamolodchikov-like recursion relations to numerically compute derivatives of blocks around a crossing-symmetric configuration. It is implemented as a heavily optimized, multi-threaded, C++ application. We give performance benchmarks for correlators containing scalars, fermions, and stress tensors. As an example application, we recompute bootstrap bounds on four-point functions of fermions and study whether a previously observed sharp jump can be explained using the “fake primary” effect. We conclude that the fake primary effect cannot fully explain the jump and the possible existence of a “dead-end” CFT near the jump merits further study.
Voting behavior under outside pressure: promoting true majorities with sequential voting?
Authors: Bolle Friedel , Otto Philipp E. 
Published: November 2021

AbstractWhen including outside pressure on voters as individual costs, sequential voting (as in roll call votes) is theoretically preferable to simultaneous voting (as in recorded ballots). Under complete information, sequential voting has a unique subgame perfect equilibrium with a simple equilibrium strategy guaranteeing true majority results. Simultaneous voting suffers from a plethora of equilibria, often contradicting true majorities. Experimental results, however, show severe deviations from the equilibrium strategy in sequential voting with not significantly more true majority results than in simultaneous voting. Social considerations under sequential voting—based on emotional reactions toward the behaviors of the previous players—seem to distort subgame perfect equilibria.
Cell composition at the vitreomacular interface in traumatic macular holes
Authors: Guenther Stefanie R. , Schumann Ricarda G. , Zaytseva Yulia , Hagenau Felix , Wolf Armin , Priglinger Siegfried G. , Vogt Denise 
Published: November 2021

Abstract

Purpose
To describe characteristics of the vitreomacular interface (VMI) in traumatic macular holes (TMH) compared to idiopathic macular holes (IMH) using immunofluorescence and electron microscopy, and to correlate with clinical data.

Methods
For immunocytochemical and ultrastructural analyses, premacular tissue with internal limiting membrane (ILM) and epiretinal membrane (ERM) was harvested during vitrectomy from 5 eyes with TMH and 5 eyes with IMH. All specimens were processed as flat mounts for phase-contrast microscopy, interference and fluorescence microscopy, and transmission electron microscopy (TEM). Primary antibodies were used against microglial and macroglial cells. Clinical data was retrospectively evaluated.

Results
Surgically excised premacular tissue of eyes with TMH showed a less pronounced positive immunoreactivity for anti-glutamine synthetase, anti-vimentin and anti-IBA1 compared to eyes with IMH. Cell nuclei staining of the flat-mounted specimens as well as TEM presented a lower cell count in eyes with TMH compared to IMH. All detected cells were found on the vitreal side of the ILM. No collagen fibrils were seen in specimens of TMH. According to patients’ age, intraoperative data as well as spectral-domain optical coherence tomography (SD-OCT) analysis revealed an attached posterior vitreous in the majority of TMH cases (60%), whereas all eyes with IMH presented posterior vitreous detachment.

Conclusion
The vitreomacular interface in TMH and IMH shows significant differences. In TMH, glial cells are a rare finding on the vitreal side of the ILM.