bluuebunny/crossref_metadata_2025_split huggingface dataset:
Grey Wolf Optimization algorithm based on Cauchy-Gaussian mutation and improved search strategy
Authors: Li Kewen , Li Shaohui , Huang Zongchao , Zhang Min , Xu Zhifeng 
Published: November 2022

AbstractThe traditional Grey Wolf Optimization algorithm (GWO) has received widespread attention due to features of strong convergence performance, few parameters, and easy implementation. However, in actual optimization projects, there are problems of slow convergence speed and easy to fall into local optimal solution. The paper proposed a Grey Wolf Optimization algorithm based on Cauchy-Gaussian mutation and improved search strategy (CG-GWO) in response to the above problems. The Cauchy-Gaussian mutation operator is introduced to increase the population diversity of the leader wolves and improve the global search ability of the algorithm. This work retains outstanding grey wolf individuals through the greedy selection mechanism to ensure the convergence speed of the algorithm. An improved search strategy was proposed to expand the optimization space of the algorithm and improve the convergence accuracy. Experiments are performed with 16 benchmark functions covering unimodal functions, multimodal functions, and fixed-dimension multimodal functions to verify the effectiveness of the algorithm. Experimental results show that compared with four classic optimization algorithms, particle swarm optimization algorithm (PSO), whale optimization algorithm (WOA), sparrow optimization algorithm (SSA), and farmland fertility algorithm (FFA), the CG-GWO algorithm shows better convergence accuracy, convergence speed, and global search ability. The proposed algorithm shows the same better performance compared with a series of improved algorithms such as the improved grey wolf algorithm (IGWO), modified Grey Wolf Optimization algorithm (mGWO), and the Grey Wolf Optimization algorithm inspired by enhanced leadership (GLF-GWO).
Phase transformation path in Aluminum under ramp compression; simulation and experimental study
Authors: He Lijie , Polsin Danae , Zhang Shuai , Collins Gilbert W. , Abdolrahim Niaz 
Published: November 2022

AbstractWe present a framework based on non-equilibrium molecular dynamics (NEMD) to reproduce the phase transformation event of Aluminum under ramp compression loading. The simulated stress-density response, virtual x-ray diffraction patterns, and structure analysis are compared against the previously observed experimental laser-driven ramp compression in-situ x-ray diffraction data. The NEMD simulations show the solid–solid phase transitions are consistent to experimental observations with a close-packed face-centered cubic (fcc) (111), hexagonal close-packed (hcp) structure (002), and body-centered cubic bcc (110) planes remaining parallel. The atomic-level analysis of NEMD simulations identifiy the exact phase transformation pathway happening via Bain transformation while the previous in situ x-ray diffraction data did not provide sufficient information for deducing the exact phase transformation path.
Localized periodontitis and kidney function for the risk of proteinuria in young adults in the CHIEF oral health study
Authors: Tsai Kun-Zhe , Liu Pang-Yen , Wu Tsung-Jui , Fan Chia-Hao , Cheng Wan-Chien , Huang Ren-Yeong , Lin Gen-Min 
Published: November 2022

AbstractThis study aimed to investigate the association of localized periodontitis with proteinuria in 1281 military young adults in Taiwan. Localized periodontitis was classified as Healthy/Stage I (N = 928) or Stage II/III (N = 353). Stage 2 chronic kidney disease (CKD) was defined as an estimated glomerular filtration rate (eGFR) of 60–89 mL/min/1.73 m2. Proteinuria was defined as protein levels of 2+ or 3+ on the dipstick test. Multiple logistic regression analysis with adjustments for age, sex, body mass index, remaining teeth number and other potential covariates were used to determine the association between localized Stage II/III periodontitis and dipstick proteinuria in patients with and without CKD. Localized stage II/III periodontitis was associated with a higher risk of dipstick proteinuria [odds ratio (OR) and 95% confidence interval: 1.89 (1.04–3.42)], but not with stage 2 CKD. However, the association between localized stage II/III periodontitis and dipstick proteinuria was observed only in patients with stage 2 CKD [OR: 3.80 (1.56–9.27)], while the association was null in participants without stage 2 CKD [OR: 1.02 (0.42–2.45)]. Our findings suggest that among young adults, especially those with a mildly impaired eGFR, localized periodontitis might contribute to acute or chronic kidney injury, which manifests as proteinuria.
Design, development and applications of copper-catalyzed regioselective (4 + 2) annulations between diaryliodonium salts and alkynes
Authors: Wang Weilin , Zhou Junrui , Wang Chao , Zhang Congdi , Zhang Xiao-Qian , Wang Youliang 
Published: November 2022

AbstractDiaryliodonium salts have been extensively applied in organic synthesis as aryl cation equivalents. However, in the electrophilic reactions with alkenes or alkynes, only the electrophilic carbon of the diaryliodonium salts was involved while the other part of the aryl ring was not utilized. Herein, a reaction pattern of diaryliodonium was reported as oxa-1,4-dipoles to undergo (4 + 2) cycloaddition reactions with alkynes. Broad spectrum of the two reaction partners could be utilized in this protocol, enabling an operationally simple, high yielding, and regioselective synthetic approach to isocoumarins. Particularly, good to excellent regioselectivities were achieved for the sterically unbiased unsymmetrical diaryl acetylenes, which was challenging for other transition metal-catalyzed processes. The reaction could be scaled up with the ideal 1:1 stoichiometry and the isocoumarin type natural products Oospolactone and Thunberginol A could be obtained in one or three steps through this methodology.
Feature extended energy landscape model for interpreting coercivity mechanism
Authors: Foggiatto Alexandre Lira , Kunii Sotaro , Mitsumata Chiraru , Kotsugi Masato 
Published: November 2022

AbstractCoercivity is expressed as a complex correlation between magnetisation and microstructures. However, owing to multiple intrinsic origins, coercivity has not been fully understood in the framework of the conventional Ginzburg–Landau theory. Here, we use machine learning to draw a realistic energy landscape of magnetisation reversal to consider missing parameters in the Ginzburg–Landau theory. The energy landscape in the magnetisation reversal process is visualised as a function of features extracted via machine learning; the correlation between the reduced feature space and hysteresis loop is assigned. Features in the lower dimension dataset strongly correlate with magnetisation and are embedded with morphological information. We analyse the energy landscape for simulated and experimental magnetic domain structures; a similar trend is observed. The landscape map enables visualisation of the energy of the system and coercivity as a function of feature space components.
Hierarchical manganese valence gradient MnO2via phosphorus doping for cathode materials with improved stability
Authors: Zhao Limin , Ni Zejuan , Ge Bo , Jin Chuanyu , Zhao Hui , Li Wenzhi 
Published: November 2022

The oxygen defects concentration in P-MnOx increased and formed a gradient valence structure, which could result in the narrowing of band gap and improve the electrochemical performance of samples for supercapacitor and aqueous ZIBs.
Ultrathin NiCo-LDH regulated by CuNiCo trimetallic spinel sulfides as highly active and stable electrocatalysts for overall water splitting
Authors: Yu Xinyuan , Shen Jiaying , Chen Qianqiao , Zhong Qin 
Published: November 2022

A unique heterostructure of CuNiCo trimetallic spinel sulfides (Cu0.25Ni0.75Co2S4) wrapped by an ultrathin NiCo-LDH layer was constructed. The interfacial interaction between NiCo-LDH and Cu0.25Ni0.75Co2S4 was verified by XPS tests.
Sulfur abundances in three Galactic clusters: Ruprecht 106, Trumpler 5, and Trumpler 20
Authors: Lucertini F. , Monaco L. , Caffau E. , Mucciarelli A. , Villanova S. , Bonifacio P. , Sbordone L. 
Published: November 2022

Context. Sulfur (S) is one of the lesser-studied α-elements. Published investigations of its behavior have so far focused on local stars, and only a few clusters of the Milky Way have been considered to study this topic. We aim to study the S content of the globular cluster Ruprecht 106 – which has never before been studied for this purpose, but is known to present low levels of the [α/Fe] abundance ratio – and the open cluster Trumpler 5. The only star studied so far in Trumpler 5 shows an unexpectedly low abundance of S.
Aims. With this work, we aim to provide the first S abundance in Ruprecht 106 and to investigate the S content of Trumpler 5 with a larger sample of stars. The open cluster Trumpler 20 is considered as a reference object.
Methods. We performed a standard abundance analysis based on 1D model atmospheres in local thermodynamical equilibrium (LTE) and on high-resolution and high-signal-to-noise-ratio UVES-slit and UVES/FLAMES spectra. We also applied corrections for nonLTE. The metallicities of the targets were obtained by studying equivalent widths. Sulfur abundances were derived from multiplets 1, 6, and 8 by spectrosynthesis.
Results. We find that the metallicities of Ruprecht 106 and Trumpler 5 are [Fe/H] = −1.37±0.11 and [Fe/H] = −0.49±0.14, respectively. Ruprecht 106 is less S-rich than the other Galactic clusters at similar metallicity. The low S content of Ruprecht 106, [S/Fe]NLTE = −0.52±0.13, is consistent with its shortage of α-elements. This supports an extra-galactic origin of this cluster. We obtained a new and more robust S content value of Trumpler 5 of about [S/Fe]NLTE = 0.05±0.20. According to our results, Trumpler 5 follows the trend of the Galactic disk in the [S/Fe]LTE versus [Fe/H] diagram. Our results for Trumpler 20, of namely [Fe/H]= 0.06±0.15 and [S/Fe]NLTE = −0.28±0.21, are in agreement with those in the literature.
Ideal simple shear strengths of two HfNbTaTi-based quinary refractory multi-principal element alloys
Authors: Xu Shuozhi , Jian Wu-Rong , Beyerlein Irene J. 
Published: November 2022

Atomistic simulations are employed to investigate chemical short-range ordering in two body-centered cubic refractory multi-principal element alloys, HfMoNbTaTi and HfNbTaTiZr, and its influence on their ideal simple shear strengths. Both the alias and affine shear strengths are analyzed on the {110} and {112} planes in the two opposing 111 directions. In both quinary alloys, local ordering of NbNb, TaTa, HfNb, HfTa, and NbTa is preferred as the annealing temperature decreases from 900 to 300 K. The pair that achieves the highest degree of local ordering is TiTi in HfMoNbTaTi and HfTi in HfNbTaTiZr. Subject to the affine shear, these alloys yield by first phase transformation at the most likely pairs followed by deformation twinning at those sites.
Interpersonal-function topoi in Chinese central government’s work report (2020) as epidemic (counter-)crisis discourse
Authors: Wang Jiayu , Yang Mingfeng 
Published: November 2022

Abstract
Using Systemic Functional Grammar and conceptual framework in the argumentation-oriented approach to discourse, this study analyzes Chinese central government’s “ Report on the Work of the Government” in 2020 (henceforth the Report) to explore the “interpersonal-function topoi” in the political discourse. The Report was delivered and issued against the backdrop of the surging covid-19 epidemic. This study first calculated the frequency of mood, modality and persons in the Report. The statistics were qualitatively analyzed in relation to various topoi-imagery of the crisis vis-à-vis representing the agency-reflected in the interpersonal metafunction of the language in the Report. These topoi play a vital role in winning popular support for the Chinese central government’s anti-epidemic measures and mobilizing the widest public into actions against the covid-19 pandemic. The analysis demonstrates how the analysis of interpersonal metafunction from an argumentation-oriented perspective can shed light on dealing with crisis discourse, especially in the pandemic settings.
The effectiveness of second-person reference in enhancing reader memory in English-Chinese advertisement
translation
Authors: Cui Ying , Li Tianyun 
Published: November 2022

Abstract
This research aims to account for readers’ perception of second-person pronouns and to test their effectiveness
in enhancing reader memory in English-Chinese advertisement translation. We conducted an experiment in which 62 participants read
the Chinese translations of 16 previously unseen English print advertisements. Two parallel Chinese versions were prepared for the
experiment, one with second-person reference and the other without. The participants were first asked to read the translations and
indicate which version they liked better. Two weeks later, they were divided into two groups and asked to rate their memory of the
two Chinese versions. Statistical analysis shows that the ratings of the second-person version are significantly higher, which
implies that second-person reference is effective in enhancing the participants’ memory.
Toward a theory of ‘stepped-leaders’ in lightning
Authors: Lowke John J , Szili Endre J 
Published: November 2022

Abstract
An unresolved issue in the physics of lightning is an explanation for lightning proceeding to the ground by successive luminous steps separated by ‘dark’ times of many microseconds. There is also no explanation of the structure of the dark column connecting the streamer step with the cloud that can be km in length, is electrically conducting, yet has a very low sustaining electric field. It is proposed that these two processes can be explained by the accumulation of singlet delta metastable oxygen molecules excited in the corona pulses of lightning. The step time is necessary for the excitation of large metastable densities to produce significant metastable detachment of electrons from negative ions. The detached electrons form a highly conducting step, initially luminous, that causes a redistribution of electric fields and an increase in the potential and electric fields at the end of the step to make possible a further step by ionization. These features are supported by calculations of densities of electrons, positive ions, negative ions and singlet delta metastable oxygen molecules for the first 7 μs of a discharge chosen to be initiated by a 50 cm sphere of charged hail particles. The calculated corona streamers produce metastable densities of 1017 cm−3 near the corona source. These metastables, by electron detachment, produce a conducting cylinder 10 m long with a radius of 1 cm and an electron density ∼1012 cm−3 that is attributed to being the first step and a lightning ‘leader’. These conducting regions develop within them very low electric fields. Successive steps are likely to combine to form the long conductive columns of lightning that exist before the return stroke. Electron densities in the leader and the column are an equilibrium between electron production by metastable detachment and electron loss by attachment to neutral oxygen molecules, requiring no electric field.
Uncertainty and sensitivity analyses for the reduction factor of sheltering for radiation exposures
Authors: Hirouchi Jun , Takahara Shogo , Komagamine Hiroshi 
Published: November 2022

Abstract
Sheltering is one of the countermeasures used to mitigate radiation exposure during nuclear power plant accidents. The effectiveness of sheltering for inhalation exposure is often expressed by the reduction factor, which is defined as the ratio of the indoor to the outdoor cumulative radioactivity concentrations or doses. The indoor concentration is mainly controlled by the air exchange rate, penetration factor, and indoor deposition rate. Meanwhile, the air exchange rate depends on surrounding environmental conditions: the wind speed, leakage area normalised by the floor area of the house, and gross building coverage ratio. In this study, the ranges of the uncertainty of the reduction factors for particles and iodine in reactive gas form were investigated under various environmental conditions, and sensitivity analyses were conducted to understand the parameter with the most influence on the uncertainty of the reduction factor. From the results of the uncertainty analyses, the calculated reduction factor was highly variable depending on the environmental condition and the airtightness of the houses. The median and 95th percentile of the reduction factors for the older houses were 0.5 and 0.9 for particles and 0.07 and 0.4 for iodine in reactive gas form, respectively and these ranges were smaller for newer houses. From the results of the sensitivity analyses, the wind speed was the most influential parameter determining the reduction factor. Additionally, the wind speed was less influential for the reduction factor in newer houses.
A variable-measurement-space-based method for improving the measurement accuracy of AACMMs
Authors: Wang Wen , Liang Qianqian , Sun Jiahuan , Yang He , Lu Keqing , Wang Chuanyong , Chen Zhanfeng , Song Meng 
Published: November 2022

Abstract
Articulated arm coordinate measuring machines (AACMMs) are usually used to measure mechanical parts of different sizes in practical applications. When the size of parts is smaller than that of the AACMM, a redundant measurement space of the measuring machine is generated, resulting in reduced measurement accuracy of the AACMM. Moreover, due to the series structure of the AACMM, the joint errors would be propagated with the increasing length of the bar, which could amplify the measurement error. Therefore, on the premise of ensuring the measurement space required by the measured parts, this work proposes a new method based on variable measurement space, i.e. locking some movable joints of the AACMM, to improve the measurement accuracy of the AACMM for small mechanical parts. The measurement accuracy of the AACMM is examined under various measurement spaces. Firstly, the Monte Carlo method is used to simulate the measurement space of the AACMM with one or more joints locked. Then, the spatial error of the AACMM and the multipoint calibration with joint locked are simulated and discussed in detail. Finally, the feasibility and effectiveness of the proposed variable-measurement-space method are verified by the standard single-point cone experiments. The results show that the measurement accuracy of the AACMM is substantially improved under three kinds of strategies, i.e. locking joint 1, joint 2, and joint 3, respectively.
Research on feature extraction and separation of mechanical multiple faults based on adaptive variational mode decomposition and comprehensive impact coefficient
Authors: Zhang Wei , Li Junxia , Li Tengyu , Ge Shuangchao , Wu Lei 
Published: November 2022

Abstract
Because it is difficult to extract multiple fault features from mechanical equipment under the interference of background noise and the parameters used in variational mode decomposition (VMD) must be determined in advance, a multiple fault separation method based on adaptive variational mode decomposition (AVMD) is proposed in this research to address these issues. Firstly, a novel index, known as the comprehensive impact coefficient (CIC), is established to properly identify the signal’s fault features. Thereafter, the fitness function of the sparrow search algorithm is developed based on the CIC, and the VMD parameters selection problem is solved. Finally, the decomposed modal components are subjected to envelop demodulation analysis, and the failure type of the bearing is assessed through the envelope spectrum. The simulation and experimental results reveal that the AVMD method can effectively separate all single faults from multiple faults, thus accurately diagnosing bearing faults.
Tumor microenvironment targeting and regulating iron-based metal-organic framework for magnetic resonance imaging guided synergetic therapy of doxorubicin and hydroxyl radicals
Authors: He Le , He Yuting , Chi Bin , Xu Mingyue , Song Qian , Yang Tingting , Li Ling , Wang Jing 
Published: November 2022

Abstract
Fe3+ and 2-methylimidazole were selected to prepare tumor microenvironment targeted and regulated multifunctional drug carrier Fe-MOFs. The fact that Doxorubicin hydrochloride (DOX·HCl) release climbed 70% from 25% upon regulating the pH from 7.4 to 5.8 proved the pH responsive drug release of Fe-MOFs. Hydroxyl radicals (·OH) analysis proved that Fe-MOFs only generated hydroxyl radicals at pH 5.8, and dissolved oxygen performance showed the O2 was produced during the process, which was expected to regulate hypoxia in tumor cells to increase anticancer effect. Cell viability experiments proved the selectivity of Fe-MOFs and the excellent performance of synergy therapy of DOX·HCl and hydroxyl radicals. In vivo magnetic resonance imaging experiments demonstrated excellent performance of positive images. All experiments showed that Fe-MOFs can be used for image-guided collaborative treatment to improve treatment efficiency and reduce side effects.
Inhibition of parametric decay in heating microwave beams during fluctuations of the density profile in the edge island of Wendelstein 7-X
Authors: Tancetti A , Nielsen S K , Rasmussen J , Moseev D , Stange T , Marsen S , Vecséi M , Killer C , Wurden G A , Jensen T , Stejner M , Anda G , Dunai D , Zoletnik S , Rahbarnia K , Brandt C , Thomsen H , Hirsch M , Hoefel U , Chaudhary N , Winters V , Kornejew P , Harris J , Laqua H P 
Published: November 2022

Abstract
Experimental evidence of parametric decay instability (PDI) is observed in the Wendelstein 7-X stellarator, when high-power microwave beams cross a stationary magnetic island at the plasma edge. Here, trapping and build-up of upper hybrid waves within a density bump (measured within the island by alkali beam emission spectroscopy) is responsible for the reduction of the instability power threshold below the maximum gyrotron power. In this paper, we provide the first experimental evidence of the connection between the trapping mechanism in the island density bump and excitation of PDI-related signals. We show correlations of periodic crashes in the PDI-related signals with quasi-continuous fluctuations at the plasma edge, which, additionally, cause a flattening of the density profile in the island. We demonstrate that flattening of the experimental density profiles can suppress the trapping mechanism and inhibit the low-threshold PDI. PDI on the edge island could alter the power deposition profile and reduce the efficiency of the electron cyclotron resonance heating system, simultaneously posing a serious threat to the optimal operation of microwave-based diagnostics and plasma-facing components.