bluuebunny/crossref_metadata_2025 huggingface dataset:
The effectiveness of treatment with probiotics inHelicobacter pylorieradication: results from an umbrella meta-analysis on meta-analyses of randomized controlled trials
Authors: Musazadeh Vali , Nazari Ahmad , Faghfouri Amir Hossein , Emami Mohammad , Kavyani Zeynab , Zokaei Maryam , Jamilian Parmida , Zarezadeh Meysam , Saedisomeolia Ahmad
Published: May 2023

The purpose of this umbrella meta-analysis was to quantitatively summarize meta-analyses of randomized controlled trial (RCT) studies regarding the effects of probiotic supplementation onHelicobacter pylori(H. pylori) eradication.
Diet quality and survival after ovarian cancer: results from an ovarian cancer follow-up study (OOPS)
Authors: Li Xin-Yu , Liu Chuan , Liu Fang-Hua , Zheng Gang , Yang Hui-Juan , Wei Yi-Fan , Qin Xue , Xiao Qian , Zhao Yu-Hong , Gao Song , Gong Ting-Ting , Wu Qi-Jun
Published: May 2023

Owing to the limited studies and controversial evidence, the connection between diet quality and survival of patients with ovarian cancer (OC) has been indistinct. Our findings indicate that high CHEI was associated with an improved OS for patients with OC.
Label-free detection of polystyrene nanoparticles in Daphnia magna using Raman confocal mapping
Authors: Kaur Jasreen , Kelpsiene Egle , Gupta Govind , Dobryden Illia , Cedervall Tommy , Fadeel Bengt
Published: May 2023

Polystyrene nanoparticles can be detected in crustaceans in a label-free manner by confocal Raman mapping and this was further confirmed by TEM analysis.
Functionalized metal–organic frameworks for heavy metal ion removal from water
Authors: Lam Iris Tsz Yan , Choi Seon-Jin , Lu Dong , Kim Yoonseob
Published: May 2023

Water-stable metal–organic frameworks (MOFs): adsorbents to remove heavy metal ions with excellent stability. MOFs from different functionalization strategies enhance the removal performance of MOF adsorbents.
Copper-catalyzed 4-HO-TEMPOH mediated phosphorylation of alkenes
Authors: Zhan Jun-Long , Wang Bing-Jie , Wang Chen-Xi , Zhao Xin-Ming , Zhou Sai-Nan , Dou Zao-Zao , Yang Xin-Xin , Zhu Lin , Ren Wei
Published: May 2023

A copper-catalyzed unprotected hydroxylamine mediated phosphorylation of alkenes furnished structurally important (E)-alkenylphosphine oxides under mild reaction conditions with good functional group tolerance and excellent regioselectivity.
Enantioselective synthesis of chiral β-hydroxy sulfonesviamanganese catalyzed asymmetric hydrogenation
Authors: He Jiaying , Mao Wenhao , Lin Jie , Wu Yongzhen , Chen Lingxin , Yang Pengtao , Song Dingguo , Zhu Peixi , Zhong Weihui , Ling Fei
Published: May 2023

The first example of manganese catalyzed asymmetric hydrogenation of β-keto sulfones for the construction of chiral β-hydroxy sulfones with up to 97% yield and 97% ee.
Palladium-catalyzed cascade cyclization/intramolecular redox-relay Heck arylation of alkenols: access to tetrahydro-β-carbolines from 2-(hydroxyalkenynyl)sulfonanilides
Authors: Liu Tao , Yao Tuanli , Guo Ruihua , Qin Xiangyang
Published: May 2023

The first palladium-catalyzed cascade reaction combining Pd(ii)-catalyzed nucleophilic cyclization of alkynes and intramolecular redox-relay Heck arylation of alkenols has been developed.
Embedding plasmonic gold nanoparticles in a ZnO layer enhanced the performance of inverted organic solar cells based on an indacenodithieno[3,2-b]thiophene-alt-5,5′-di(thiophen-2-yl)-2,2′-bithiazole-based push–pull polymer
Authors: Waketola Alemayehu G. , Pfukwa Cathrine , Neethling Pieter , Bosman Gurthwin , Genene Zewdneh , Wang Ergang , Mammo Wendimagegn , Hone Fekadu G. , Tegegne Newayemedhin A.
Published: May 2023

Light trapped in organic solar cells employing Au NPs could improve their performance by more than 20%, paving the way for a straightforward path.
Controlling metal ion migration in contaminated groundwater with Iraqi clay barriers for water resource protection
Authors: Faisal Ayad A. H. , Al-Ridah Zaid Abed , Al-Ansari Nadhir , Hassan Waqed H. , Al-Hashimi Osamah , Ghfar Ayman A. , Hashim Khalid
Published: May 2023

Distribution of velocity and dissolved contaminants in the subsurface environment with the presence of a low permeable barrier.
A theoretical approach for a new design of an ultrasensitive angular plasmonic chemical sensor using black phosphorus and aluminum oxide architecture
Authors: Almawgani Abdulkarem H. M. , Awasthi Suneet Kumar , Mehaney Ahmed , Ali Ghassan Ahmed , Elsayed Hussein A. , Sayed Hassan , Ahmed Ashour M.
Published: May 2023

A systematic view of the proposed hybrid SPR sensor.
Stille vs. Suzuki – cross-coupling for the functionalization of diazocines
Authors: Walther Melanie , Kipke Waldemar , Renken Raul , Staubitz Anne
Published: May 2023

Efficient syntheses towards stannylated and borylated diazocines are presented which are subsequently employed in Stille and Suzuki cross-coupling reactions.
Controlled introduction of functional groups at one P atom in [Cp*Fe(η5-P5)] and release of functionalised phosphines
Authors: Reichl Stephan , Riedlberger Felix , Piesch Martin , Balázs Gábor , Seidl Michael , Scheer Manfred
Published: May 2023

In subsequent salt metathesis reactions, a variety of organo-polyphosphorus ligands can be obtained containing different functional groups such as halogen or nitrile, which can be accessed in further functionalisation reactions.
Supramolecular cages and metal organic frameworks of porphyrins for a sustainable tomorrow: challenges and applications
Authors: Nisa Kharu , Saxena Megha , Lone Ishfaq Ahmad , Kumar Ravi
Published: May 2023

Engineering of porphyrin based imine linked supramolecular cages and MOFs for electrocatalysis and photocatalysis is summarized. Their broad applications for artificial photosynthesis and energy conversion were discussed.
Electrochemical properties of a titanium-substituted KVPO4F cathode for K-ion batteries
Authors: Yang Xiaoran , Yan Danna , Chou Tsengming , Kim Jae Chul
Published: May 2023

KTi0.5V0.5PO4F provides a stable framework to support reversible K+ de/intercalation.
In situ crystal engineering on 3D-printed woodpile scaffolds: a monolith catalyst with highly accessible active sites for enhanced catalytic cracking
Authors: Wang Ruoyu , Gong Yixuan , Wang Peng , He Wenhui , Song Ye , Xin Mudi , Jiang Qiuqiao , Sha Yuchen , Cao Tiantian , Song Haitao , Lin Wei
Published: May 2023

A 3D-printed zeolitic monolith catalyst with highly accessible active sites demonstrates superior activity in hydrocarbon cracking.
Advanced progress of rhenium (Re)-based electrode materials in electrocatalytic hydrogen evolution: a review
Authors: Pang Qingqing , Fan Xizheng , Sun Kaihang , Xiang Kun , Dong Lin , Zhao Shufang , Kim Young Dok , Li Baojun , Liu Qiaoyun , Liu Zhongyi , Peng Zhikun
Published: May 2023

Rhenium (Re)-based materials are regarded as ideal alternative electrocatalysts towards the HER. This review focused on summarizing the advanced HER progress, aiming to establish a theoretical and experimental basis for constructing optimal Re-based electrocatalysts.
Advances of ionic liquid-based nanohybrids for biomedical applications
Authors: Li Lin-Yu , Gao Yi-Ru , Xue Rong , Shu Yang , Wang Jian-Hua , Wang Ze-Jun
Published: May 2023

Classification of IL-based nanohybrids.
Semi-transparent organic solar cells based on large bandgap star-shaped small molecules as mixed donors with PM6
Authors: Yan Minming , Skabara Peter J. , Meng Hong
Published: May 2023

Two new star-shaped organic materials have been applied as ternary components in organic solar cells to give greater light transparency with only a small sacrifice in power conversion efficiencies.
Boosting emission efficiency and suppressing device-efficiency roll-off for TADF emitters by modulating molecular conformation and intra–intermolecular interactions
Authors: Lei Dan , Song Jin-Hui , Wu Ze-Ling , Hu Jia-Xuan , Wang Ya-Shu , Zhang Dong-Hai , Meng Lingyi , Chen Xu-Lin , Lu Can-Zhong
Published: May 2023

A trifluoromethyl substitution strategy significantly enhances the emission efficiency and suppresses device-efficiency roll-off for TADF emitter by creating hydrogen bonds, avoiding π–π stacking, and regulating excited-state alignment.
Sketch face recognition based on light semantic Transformer network
Authors: Cao Lin , Yin Jianqiang , Guo Yanan , Du Kangning , Zhang Fan
Published: May 2023

Sketch face recognition has a wide range of applications in criminal investigation, but it remains a challenging task due to the small‐scale sample and the semantic deficiencies caused by cross‐modality differences. The authors propose a light semantic Transformer network to extract and model the semantic information of cross‐modality images. First, the authors employ a meta‐learning training strategy to obtain task‐related training samples to solve the small sample problem. Then to solve the contradiction between the high complexity of the Transformer and the small sample problem of sketch face recognition, the authors build the light semantic transformer network by proposing a hierarchical group linear transformation and introducing parameter sharing, which can extract highly discriminative semantic features on small–scale datasets. Finally, the authors propose a domain‐adaptive focal loss to reduce the cross‐modality differences between sketches and photos and improve the training effect of the light semantic Transformer network. Extensive experiments have shown that the features extracted by the proposed method have significant discriminative effects. The authors’ method improves the recognition rate by 7.6% on the UoM‐SGFSv2 dataset, and the recognition rate reaches 92.59% on the CUFSF dataset.
Klinische Diagnostik und die Planung von Therapien mit der
OPD-3
Authors: Dinger Ulrike , Ehrenthal Johannes C.
Published: May 2023

Im Februar 2023 kam nach mehrjähriger Revisionsarbeit die nunmehr dritte
Version des Manuals der Operationalisierten Psychodynamischen Diagnostik (OPD-3) auf
den Markt 1. Das Buch kletterte direkt nach
seiner Veröffentlichung auf die Bestsellerlisten u. a. der
Online-Verkaufsplattform Amazon, was für ein Fachbuch zur
klinisch-psychotherapeutischen Diagnostik, noch dazu mit psychodynamischer
Ausrichtung, doch einigermaßen ungewöhnlich ist. Auch über
den Buchverkauf hinaus ist die OPD in den gut 25 Jahren nach Erscheinen der ersten
Version 1996 weithin zu einem Erfolgsmodell geworden. Sie hat sich im
deutschsprachigen Raum zum Standard in psychodynamischer Diagnostik entwickelt,
spielt eine entscheidende Rolle im Kontext von Versorgung, Dokumentation, sowie Aus-
und Weiterbildung. Die Übersetzungen der OPD in derzeit 11 Sprachen spricht
ebenfalls für sich. Nicht zuletzt schlägt die OPD eine
Brücke zwischen psychodynamischer Theoriebildung, klinischer Anwendung und
empirischer Forschung und hat durch die mit der Operationalisierung einhergehende
hohe Reliabilität eine empirische Forschung um psychodynamische Konstrukte
stark vorangebracht. Sie ist Ausgangspunkt für methodische
Weiterentwicklungen für spezialisierte Patient*innen-Gruppen und
klinische Anwendungen sowie für Fragebögen 2
3.
Toward the Total Synthesis of Schinortriterpenoids: Construction of the All-cis-Substituted Cyclopropane Unit
Authors: Tsukano Chihiro , Yagita Ryotaro , Irie Kazuhiro
Published: May 2023

As a step toward a total synthesis of pre-schisanartanins and arisanlactones, we successfully synthesized a right fragment of Schisandra nortriterpenoids bearing a distorting all-cis-substituted cyclopropane from a chiral lactone. The key step in this synthesis was the diastereoselective construction of an all-cis-substituted cyclopropane through a Negishi coupling using an amide as a directing group.
Depression, Anxiety, and Stress with and without COVID-19 Infection
Authors: Sinha Snigdha , Jose K Alphonsa , Baboo Smitha
Published: May 2023

Objectives Coronavirus disease 2019 (COVID-19) affects the respiratory system predominantly. However, post-COVID recovery, many manifested neurological and psychological symptoms, unrelated to the respiratory system. We aimed to estimate psychological impairment in individuals who were infected with COVID-19 in comparison with two uninfected control groups, and between different age cohorts.

Materials and Methods We compared three groups with respect to COVID-19—those infected, those not infected but witness to someone infected, and those neither infected nor witness to anyone infected, along with age cohort comparison. The standard Depression, Anxiety and Stress Scale - 42 items (DASS 42) questionnaire, with additional questions were answered by 301 participants.

Statistical Analysis SPSS was used for analyses, with Mann–Whitney U test, Kruskal–Wallis test, and Tukey's post hoc test.

Results Significantly higher levels of depression, anxiety, and stress were found in the infected group than in the uninfected groups, and significant difference was found between the older age cohorts (50 and above) of each group. The percentages of the infected group with severe to very severe depression, anxiety, and stress were higher than the other groups.

Conclusion There is greater psychological impairment in individuals post-COVID recovery, and there is higher impairment in the older age cohort that is recovered, compared to controls.
Mapping the field of cultural evolutionary theory and methods in archaeology using bibliometric methods
Authors: Matzig David N. , Schmid Clemens , Riede Felix
Published: May 2023

Bibliometrics offers powerful means of visualising and understanding trends within research domains. We here present a first exploratory bibliometric analysis of cultural evolutionary theory and attendant methods as applied specifically within archaeology across the last four decades (1981–2021). Bibliographic coupling network analysis shows that there exists a broadly successive series of author clusters making up the core of this research domain. A broader vernacular version of cultural evolution is also commonly used in thematic or regional research traditions that fall outside of cultural evolutionary studies in the strict sense. Our bibliometric networks trace the development of evolutionary archaeology over the last four decades and while they demonstrate the centrality of computational models, they also suggest a stagnation in the application of precisely that suite of methods—phylogenetics—that is central to evolutionary archaeology’s biological counterpart palaeontology. Recent methodological innovations in palaeobiology are, however, offering new ways of integrating artefact shape data directly with phylogenetic applications. This development may usher in a renaissance in artefact phylogenetics and appropriately marco-scale applications of cultural evolutionary theory in archaeology.
Internet use, market transformation, and individual tolerance: Evidence from China
Authors: Zhang Yunliang , Chen Xueli , Shen Zhiyang
Published: May 2023

Earlier literature studies the relationship between Internet use and individual tolerance, but little research explores these links in the context of China. This article analyzes the impact of Internet use on individuals’ tolerance using Chinese national social survey data from 2015 to 2021. The results find that Internet use has a significant positive effect on individual social tolerance (ST) and moral tolerance (MT), and this effect is still valid after dealing with the endogenous problem by instrumental variables and the propensity score matching method. Moreover, the division of university education, unit system, and Hukou moderate the relationship between Internet use and individual social tolerance. Last, opportunity fairness and outcome fairness play the suppressing effects, not mediating effects. This article clarifies the role of digital technology in the development of high-quality economics and proposes that the government should pay more attention to changes in social attitudes.
P2P lending: Moderation of desirability of control on risk-taking decisions of Indonesian borrowers
Authors: Isaputra Samuel Adiprasetya , Sumaryono
Published: May 2023

The number of users of peer-to-peer (P2P) lending applications in Indonesia continues to grow rapidly even though it is followed by increased cases of alleged criminal violations in the financial sector. Users continue to use these financial technologies despite being aware of the high risks and potential negative consequences they may receive. Meanwhile, the results of previous research in the context of financial technology show that the higher the risk perceived by users, the more discouraged they are from using financial technology. In addition, the number of studies that discuss decision-making at the user group level is still limited. Tests using the structural equation model (SEM) method showed that the desirability of control moderates the negative effect of perceived risk on P2P lending usage intention. The desirability of control is proven to weaken the effect of perceived risk on the intention to use P2P lending. As a result, borrowers with high desirability of control tend to ignore the high risk of using online lending providers so they will continue to take these actions. Meanwhile, borrowers with low desirability of control try to maintain their control by avoiding the use of P2P lending. In addition, the Bollen–Stine bootstrap procedure also showed that the model meets the goodness of fit even though the data was not normally distributed in multivariate analysis. The results of this study also imply that the government needs to formulate regulations to tighten lending procedures to minimize the potential for defaults on debt that harm the community and online lending providers.
Deep-learning-aided metasurface design for megapixel acoustic hologram
Authors: Miao Xuan-Bo , Dong Hao-Wen , Zhao Sheng-Dong , Fan Shi-Wang , Huang Guoliang , Shen Chen , Wang Yue-Sheng
Published: May 2023

Unlike the holography technique using active sound source arrays, metasurface-based holography can avoid cumbersome circuitry and only needs a single transducer. However, a large number of individually designed elements with unique amplitude and phase modulation capabilities are often required to obtain a high-quality holographic image, which is a non-trivial task. In this paper, the deep-learning-aided inverse design of an acoustic metasurface-based hologram with millions of elements to reconstruct megapixel pictures is reported. To improve the imaging quality, an iterative compensation algorithm is proposed to remove the interference fringes and unclear details of the images. A megapixel image of Mona Lisa's portrait is reconstructed by a 2000 × 2000 metasurface-based hologram. Finally, the design is experimentally validated by a metasurface consisting 30 × 30 three-dimensional printed elements that can reproduce the eye part of Mona Lisa's portrait. It is shown that the sparse arrangement of the elements can produce high-quality images even when the metasurface has fewer elements than the targeted image pixels.
Correcting misperceptions of out-partisans decreases American legislators’ support for undemocratic practices
Authors: Druckman James N. , Kang Suji , Chu James , N. Stagnaro Michael , Voelkel Jan G. , Mernyk Joseph S. , Pink Sophia L. , Redekopp Chrystal , Rand David G. , Willer Robb
Published: May 2023

There is substantial concern about democratic backsliding in the United States. Evidence includes notably high levels of animosity toward out-partisans and support for undemocratic practices (SUP) among the general public. Much less is known, however, about the views of elected officials—even though they influence democratic outcomes more directly. In a survey experiment conducted with state legislators (
N
= 534), we show that these officials exhibit less animosity toward the other party, less SUP, and less support for partisan violence (SPV) than the general public. However, legislators vastly overestimate the levels of animosity, SUP, and SPV among voters from the other party (though not among voters from their own party). Further, those legislators randomly assigned to receive accurate information about the views of voters from the other party reported significantly lower SUP and marginally significantly lower partisan animosity toward the other party. This suggests that legislators’ democratic attitudes are causally linked to their perceptions of other-party voters’ democratic attitudes. Our findings highlight the importance of ensuring that office holders have access to reliable information about voters from both parties.
How to get more views
Authors: Al-Ali Mohammed Nahar , Sahawneh Meera B. , Hamzeh Safaa M.
Published: May 2023

The study aims to examine how the interactional and interactive linguistic aspects are utilized to qualify the discoursal propositions of Arabic clickbaits to secure viewers’ responsive clicks to thumbnails. To this end, one hundred Arabic YouTube clickbait headlines were selected from five Arabic channels that are owned by independent unofficial entertainment institutions. The data came from a period of one year covering 2021. The data covered different domains such as crafts, sports, entertainment, and science. To examine how the headlines are constructed, we drew on two complementary theoretical frameworks, namely, Machin and Mayer’s (2012) framework of verbal processes and participants, and Hyland’s (2005) interactional and interactive meta-discourse framework. It was found that clickbait creators structured their texts interactionally using more enticing attitude and engagement markers, and self-mentions to emphasize a closer relationship with the viewers so as to persuade them to click the baits. This tendency was further heightened by the frequent use of interactive compositional selections attained by deliberately leaving parts of the headlines opaque realized by the frequent use of consecutive dots, cataphoric markers, and viewer-attitude connective signals. Likewise, the discoursal process selection has never been neutral, as clickbait writers frequently used negative mental and material processes to spark viewers’ curiosity to react and click the bait. YouTube clickbait headlines can have the effect of frustrating viewers and/or decreasing their satisfaction. Thus, this research will hopefully contribute to the detection and isolation of clickbaits as a step required to raise viewers’ awareness of the enticing headlines and as a further step to demote them.
Scepticism voiced through extended metaphors
Authors: Cibulskienė Jurga
Published: May 2023

When metaphors appear in a text in clusters within the same source domain, they are usually referred to as an
extended metaphor (Gibbs, 2015; Naciscione,
2016; Semino, 2008; Shutova,
2015; Thibodeau, 2016; Werth, 1994).
This creates a coherent narrative or a scenario (Musolff, 2016) encoding the evaluation
of a particular socially-contested issue. The present study analyses how the evaluation of higher education reform in Lithuanian
media is manifested through extended metaphor and whether negative evaluations prevail. For this investigation, a corpus of
Lithuanian media texts on higher education reform was examined within the frameworks of Critical Metaphor Analysis (Charteris-Black, 2014) and scenarios (Musolff,
2016). The findings show that, when extended metaphors are ascribed positive, negative or mixed values and categorised
into mini-narratives, leitmotif narratives and long narratives, they usually (24 out of 28) follow negatively and often
death-related and ironically encoded narratives with differently twisted scenarios. This study, therefore, shows a persistent
attempt by the media to evaluate the ongoing reform negatively.
Audible gestures
Authors: Hauser Eric
Published: May 2023

This study focuses on one type of audible gesture, designedly single claps (DSCs), as used by different people at an educational institution. The institution is designed to provide second language English users with opportunities to use English in various situations. Through the use of Multimodal Conversation Analysis, the analysis first focuses on the shape of DSCs and what makes them visible as not projecting further claps. Next, the analysis focuses on how DSCs are used within their sequential context. DSCs can take a variety of shapes, in that there are different ways not to project further claps; they can be used to attract attention of multiple recipients, and thus as one resource to manage interaction; and they are used as such a resource by representatives of the educational institution, who take on teacher roles within the interaction, with responsibility and deontic authority to manage shifts in activity and participation framework.
What foreign language learners make of grammatical descriptions depends on description type, proficiency, and
context
Authors: Jach Daniel
Published: May 2023

Most usage-based research emphasizes the importance of implicit, input-driven learning in naturalistic
environments, but recent studies have adopted usage-based grammatical descriptions for instructed learning in classrooms. These
descriptions are intended to draw learners’ deliberate attention to relevant usage patterns in the input and thereby support
intake. Most of these studies compare usage-based descriptions to other types of descriptions for their efficiency, while little
attention has been paid to the ways in which learners understand and apply such descriptions. This study examines what foreign
language learners understand of usage-based grammatical descriptions of target structures. In an experimental forced choice task,
Chinese learners of German received usage-based descriptions of case structures and then classified target instances in variable
contexts. A multivariate regression analysis indicated that choices were influenced by interactions of the type of description
with participants’ target-language proficiency and the semantic and lexical target contexts. This is discussed in terms of
noticing and category formation. This study argues that learners are able to use grammatical descriptions as some kind of
auxiliary model for recognizing and categorizing target patterns. The descriptions thus make learners aware of the mechanisms
underlying implicit learning and help them exploit these mechanisms for explicit learning.
The competition between noun-verb conversion and -ize derivation
Authors: Baeskow Heike
Published: May 2023

The process of noun-verb conversion, which is highly productive in English, has been dealt with from a variety of
theoretical perspectives. What is missing so far is a systematic analysis of conceptual-semantic factors which motivate this
process and set it apart from another productive verb-formation process, namely -ize derivation. The present
article is intended to fill this gap. While some conceptual-semantic patterns which are displayed by converted verbs but not by
-ize verbs have already been identified in the literature, more fine-grained contrastive analyses show that
converted verbs display even more patterns not attested for the overtly derived verbs. Even if the two verb-formation types share
a conceptual-semantic pattern, they may be in complementary distribution at a lower level of abstraction. Moreover, non-derived
denominal verbs allow for a wider range of metaphorical meanings. The difference in semantic diversity is ascribed here to the
fact that -ize verbs denote more specialized activities, whereas converted verbs typically (though not
necessarily) express activities reflecting speakers’ interaction with basic-level objects, which may be based on experience or
imagination. Since the activities denoted by converted verbs are readily transferred to different domains of experience (e.g.,
to bottle up emotions), these verbs more frequently undergo metaphorical meaning extension. Formally, the
higher degree of semantic versatility observed for converted verbs is reflected by the fact that conversion – unlike
-ize derivation – is constrained neither by predetermined Lexical Conceptual Structures nor by selectional
restrictions, but motivated by metonymy, which may be enriched by metaphorical extension.
A comparative interpreting studies view of interpreting in religious contexts
Authors: Downie Jonathan
Published: May 2023

This article applies Comparative Interpreting Studies to research on interpreting in religious contexts and the
relevance of this literature to interpreting studies more broadly. Comparative Interpreting Studies is an approach that looks to
plot the commonalities of all interpreting practice. It is argued that actual observed interpreter behaviors, rather than assumed
professional standards, provide a justifiable unit of comparison. The behavior of interpreters in religious contexts is discussed,
alongside the split between prescriptive and descriptive approaches to analyzing this behavior and the importance of spiritual and
emotional aspects. Differences in research approaches on interpreting in religious contexts are shown to shadow debates within
interpreting studies and thus offer insights that may be cautiously generalized. Such generalizations align with recent research
in a variety of interpreting contexts and lead to a call for interpreting researchers to give more attention to the wider social,
organizational, and personal contexts of interpreting.
Regulation of Ionic Bond in Group IIB Transition Metal Iodides
Authors: Xu Zhenzhen , Li Jianfu , Geng Yanlei , Zhang Zhaobin , Lv Yang , Zhang Chao , Wang Qinglin , Wang Xiaoli
Published: May 2023

Using a swarm intelligence structure search method combining with first-principles calculations, three new structures of Zn–I and Hg–I compounds are discovered and pressure-composition phase diagrams are determined. An interesting phenomenon is found, that is, the compounds that are stable at 0 GPa in both systems will decompose into their constituent elements under certain pressure, which is contrary to the general intuition that pressure always makes materials more stability and density. A detailed analysis of the decomposition mechanism reveals the increase of formation enthalpy with the increase of pressure due to contributions from both ΔU and Δ[PV]. Pressure-dependent studies of the ΔV demonstrate that denser materials tend to be stabilized at higher pressures. Additionally, charge transfer calculations show that external pressure is more effective in regulating the ionic bond of Hg–I, resulting in a lower decomposition pressure for HgI2 than for ZnI2. These findings have important implications for designs and syntheses of new materials, as they challenge the conventional understanding on how pressure affects stability.
Superexchange Interactions and Magnetic Anisotropy in MnPSe3 Monolayer
Authors: Wang Guangyu , Yang Ke , Ma Yaozhenghang , Liu Lu , Lu Di , Zhou Yuxuan , Wu Hua
Published: May 2023

Two-dimensional van der Waals magnetic materials are of great current interest for their promising applications in spintronics. Using density functional theory calculations in combination with the maximally localized Wannier functions method and the magnetic anisotropy analyses, we study the electronic and magnetic properties of MnPSe3 monolayer. Our results show that it is a charge transfer antiferromagnetic (AF) insulator. For this Mn2+ 3d
5 system, although it seems straightforward to explain the AF ground state using the direct exchange, we find that the nearly 90° Mn–Se–Mn charge transfer type superexchange plays a dominant role in stabilizing the AF ground state. Moreover, our results indicate that, although the shape anisotropy favors an out-of-plane spin orientation, the spin-orbit coupling (SOC) leads to the experimentally observed in-plane spin orientation. We prove that the actual dominant contribution to the magnetic anisotropy comes from the second-order perturbation of the SOC, by analyzing its distribution over the reciprocal space. Using the AF exchange and anisotropy parameters obtained from our calculations, our Monte Carlo simulations give the Néel temperature T
N = 47 K for MnPSe3 monolayer, which agrees with the experimental 40 K. Furthermore, our calculations show that under a uniaxial tensile (compressive) strain, Néel vector would be parallel (perpendicular) to the strain direction, which well reproduces the recent experiments. We also predict that T
N would be increased by a compressive strain.
Identifying many-body localization transition through global quantum discord
Authors: Shen Longhui , Bao Jia , Guo Bin , Sun Zhaoyu
Published: May 2023

We investigate the many-body localization (MBL) transitions in a spin-1/2 Heisenberg chain with an on-site random magnetic field by employing global quantum discord (GQD). We use the disorder-averaged GQD to estimate the MBL critical point, which is found to be around at

W

c

=
3.8

by making a finite-size scaling analysis. We further compare our results of GQD with those of half-chain entanglement entropy (EE) that is promising in the study of MBL. We show that GQD can exclude the finite-size interference under the same condition, which implies that GQD is more robust than the half-chain EE in characterizing MBL.
Semimetallic spin-density wave state in iron pnictides
Authors: Goyal Garima , Singh Dheeraj Kumar
Published: May 2023

We examine the existence of semimetallic spin-density wave (SDW) states in iron pnictides. In the experimentally observed metallic SDW state, the symmetry-protected Dirac cones are located away from the Fermi surface giving rise to tiny pockets and there are also additional Fermi pockets such as one around Γ. We find that the location of a pair of Dirac points with respect to the Fermi surface exhibits significant sensitivity to the orbital splitting between the d

xz
and d

yz
orbitals. Besides, in the presence of orbital splitting, the Fermi pockets not associated with the Dirac cones, can be suppressed so that a semimetallic SDW state can be realized. We explain these findings in terms of difference in the slopes and orbital contents of the bands which form the Dirac cone, and obtain the necessary conditions dependent on these two and other parameters for the coexisting Dirac semimetallic and SDW states. Additionally, the topologically protected edge states are studied in the ribbon geometry when the same are oriented either along x or y axes.
Structure determination in a new type of amorphous molecular solids with different nonlinear optical properties: a comparative structural analysis
Authors: Link Vasco J , Stellhorn J R , Klee B D , Paulus B , Belz J , Haust J , Hosokawa S , Hayakawa S , Volz K , Rojas León I , Christmann J , Dehnen S , Pilgrim W-C
Published: May 2023

The microscopic structures of two amorphous molecular solids with extremely nonlinear optical properties have been studied. They consist of organotetrel chalcogenide clusters with the chemical formula [(RSn)4S6]. The basic molecular building blocks are adamantane-like {Sn4S6} cores with organic ligands R attached to the Sn atoms. While the material equipped with R=naphthyl generates frequency doubling upon irradiation with a simple infrared laser diode, the material decorated with R=phenyl responds by emitting brilliant white light. The structural differences were investigated using x-ray scattering and extended x-ray absorption fine structure combined with molecular Reverse Monte Carlo. Transmission electron microscopy and scanning precession electron diffraction were used to examine structural differences from mesoscopic down to microscopic scales. Characteristic differences were found on all scales. While close core-to-core distances between {Sn4S6} cluster cores and molecular distortions are found in the white light emitting material, undistorted molecules and significantly larger core distances characterize the material showing frequency doubling. Here however, results of scanning precession electron diffraction reveal the formation of nanocrystalline structures in the amorphous matrix, which we identify as cause for the suppression of white light emission.
Magnetic properties induced by the Yb-valence inhomogeneity in the layered Kondo-lattice compound Yb4RuGe8
Authors: Yamanaka S , Hikiji M , Michioka C , Ueda H , Yoshimura K
Published: May 2023

We have successfully grown single crystals of a novel ytterbium-based layered compound

Y
b

4

R
u
G
e

8

and studied its structural, magnetic, thermal, and transport properties. The magnetic susceptibility has a broad peak caused by the Kondo effect at approximately

40
 

K

and is enhanced below

15
 

K

owing to the development of additional magnetic correlations. An analysis with the grand-Kadowaki–Woods relation reveals that the low-temperature state except for the effect of the additional magnetic correlations is a heavy-mass Fermi liquid.
A deep learning-based approach to solve the height-slope ambiguity in phase measuring deflectometry
Authors: Fan Xinggang , Ma Tianle , Li Chao , Li Yaonan , Liu Sheng , Chen Heping
Published: May 2023

Phase measuring deflectometry (PMD) shows excellent performance in measuring the shape of specular surfaces. However, the existing height-slope ambiguity affects the measurement of PMD. In this paper, we propose a deep learning-based method to solve the ambiguity and reconstruct the specular surface. A neural network was built to reconstruct the surface. A set of simulation surfaces were generated using two-dimensional Legendre polynomials to train and test the network. A spherical-shaped surface was reconstructed in a simulation to evaluate the validity of the proposed method and compare our method to the state-of-the-art method. Experimental results demonstrate a 35.88% improvement in this method’s accuracy. Our method provides a great improvement in measurement accuracy.
MCE-Net: polyp segmentation with multiple branch series-parallel attention and channel interaction via edge distribution guidance
Authors: Li Haiyan , Yang Lei , Miao Jiarong , Yu Pengfei , Ge Fuhua
Published: May 2023

Objective. Accurate polyp segmentation is vital for diagnosing colorectal cancer. However, it is still challenging for accurate polyp segmentation and several bottlenecks exist, such as incomplete boundary, localization bias and lack of micro blocks along with large fragmented boundaries in uncertain regions. Approach. To address the above issues, a novel polyp segmentation network with multiple branch series-parallel attention (MBSA) and channel interaction via edge distribution guidance is proposed. Initially, the edge distribution guidance strategy is proposed to generate the edge distribution following Cauchy distribution to capture complementary edges with sufficient details. Subsequently, a MBSA module is put forward to extract features from various receptive fields to pinpoint tiny polyps by a multiple kernel dilated convolution block, while combining semantics of different dimensions to filter out noise and refining the details of micro target. Ultimately, the channel interaction model is proposed to improve the segmentation accuracy of the polyps in uncertain area by splitting channels into groups and conducts group-wise interaction to excavate subtle clues contained in different channels. Main results. Extensive experimental results demonstrate that the proposed method is superior over the state-of-the-art methods with the mean dice of 0.8972, 0.9420, 0.8312, 0.8064 and 0.9214 on five public polyp datasets. Significance. The proposed method improves the integrity of the margins and internal details for polyp segmentation, which will provide a powerful aid for doctors to achieve accurate judgments, reducing the likelihood of colorectal cancer and improving the survival chances of patients.
A self-powered UV–vis–NIR graphite/CdZnTe Schottky junction photodiode
Authors: Mostovyi Andrii I , Kuryshchuk Serhii І , Asanov Nurzhan , Parkhomenko Hryhorii P , Kovaliuk Taras T , Orletskyi Ivan G , Solovan Mykhailo M , Brus Viktor V
Published: May 2023

We proposed a self-powered UV–vis–NIR Schottky junction photodiode based on a unique combination of radiation-hard functional materials: thin-film semi-metal Graphite and CdZnTe single-crystal compound semiconductor. The graphite/CdZnTe Schottky junction photodiodes exhibit a maximum responsivity of 0.25 A W−1 and detectivity of 6.5 × 1011 Jones, close to the best heterojunction photodiodes based on CdZnTe solid solution. The devices are also characterized by short rise/fall times (1.2/7.2 µs) and a wide linear dynamic range (77 dB). The proposed photodiodes are promising for applications in space and terrestrial areas with high levels of ionizing radiation.
Scalable Bell inequalities for graph states of arbitrary prime local dimension and self-testing
Authors: Santos Rafael , Saha Debashis , Baccari Flavio , Augusiak Remigiusz
Published: May 2023

Bell nonlocality—the existence of quantum correlations that cannot be explained by classical means—is certainly one of the most striking features of quantum mechanics. Its range of applications in device-independent protocols is constantly growing. Many relevant quantum features can be inferred from violations of Bell inequalities, including entanglement detection and quantification, and state certification applicable to systems of arbitrary number of particles. A complete characterisation of nonlocal correlations for many-body systems is, however, a computationally intractable problem. Even if one restricts the analysis to specific classes of states, no general method to tailor Bell inequalities to be violated by a given state is known. In this work we provide a general construction of Bell expressions tailored to the graph states of any prime local dimension. These form a broad class of multipartite quantum states that have many applications in quantum information, including quantum error correction. We analytically determine their maximal quantum values, a number of high relevance for device-independent applications of Bell inequalities. Importantly, the number of expectation values to determine in order to test the violation of our inequalities scales only linearly with the system size, which we expect to be the optimal scaling one can hope for in this case. Finally, we show that these inequalities can be used for self-testing of multi-qutrit graph states such as the well-known four-qutrit absolutely maximally entangled state AME(4,3).
Existence of both compressional and rarefactive nonlinear solitary waves in a chain of dust particles
Authors: Wei Lin , Peng Yi , Yang Yang-Yang , Du Yun-Zhen , Yang Lei , Duan Wen-Shan
Published: May 2023

Not only the compressional dust acoustic solitary wave, but also the rarefactive one in a chain of the dust particles are verified by using the molecular dynamics simulation method. The compressional dust acoustic solitary wave is also obtained by using the traditional reductive perturbation method, while the rarefactive dust acoustic solitary wave solution is fitted by the numerical simulation results. The application scope of the traditional reductive perturbation method to derive compressional dust acoustic solitary waves in a chain of the dust particles is given. The application scope of the fitted results of the rarefactive dust acoustic solitary waves is also given.
Thermodynamic properties of the 2D generic helical edge states with quadrangular potential effects
Authors: Alkan S , Akay D
Published: May 2023

We theoretically studied the generic helical edge state (GHES) with quadrangular potential in the two-dimensional (2D) HgTe/CdTe quantum well (QW) structure. We have specified the thermodynamic properties of the GHES with and without the external geometric potential. On the one hand, we first revealed the heat capacity dependence of the edge modes on the optimum temperatures. It is found that the model offers distorted Fermi lines of edge states but does not vary with the behavior of the heat capacity. In addition, we showed that the quadrangular potential term distorts the Fermi surface and contributes to particle-hole asymmetry.
Reduction of polarization deviation effects in terahertz splitter
Authors: Wang Wenliang , Rong Xiaohong
Published: May 2023

Because the polarization state can reflect more information, the development of terahertz remote sensing and communication technology, there is an urgent need for polarization insensitive terahertz regulatory devices. In this paper, a linear terahertz depolarization splitter is designed based on the transfer matrix method, which combines the symmetric structure with the matched material to obtain a material combination with very little polarization deviation. Statistical results show that this design has excellent performance of 51.0586% transmittance and low polarization degree of 0.0016 for 2.5 ThZ wave at 45 degrees of oblique incidence. Moreover, it has excellent performance of little transmission deviation and phase shift in the range of 0–55 degrees of incident Angle.
Detecting the subthreshold signal in a neural network via statistical complexity measure
Authors: Wu Yazhen , Sun Zhongkui , Liu Yuanyuan
Published: May 2023

This paper proposes an information theory approach for detecting the subthreshold signal in a small-world network composed of Fitz Hugh-Nagumo (FHN) neurons. Statistical complexity measure (SCM) and normalized Shannon-entropy (NSE) have been defined based on the specific and nonconsecutive firing time intervals series, and employed to quantify the stochastic multiresonance (SMR) phenomena in this small-world neural network. The results show that there are several maxima of SCM and several minima of NSE at various optimal noise levels, which is regarded as the signature of the occurrence of SMR. This also implies that the subthreshold signal can be accurately detected across multiple levels of noise. More intriguingly, we have discovered that the degree of this neural network can induce the generation of multiple resonance-like behaviors. In addition, our findings demonstrate that the SCM outperforms the traditional signal-to-noise ratio (SNR) in accurately identifying firing dynamical regularity under certain noisy conditions. Furthermore, the SCM can capture subtle resonance-like behavior induced by the degree, which the SNR is unable to detect. Thus, the SCM could have potential power on detecting weak signals in neural networks.
Correlation between the optical and microstructural characteristics and surface wettability transition of In2O3:Sn/ZnO nanostructured bilayer system for self-cleaning application
Authors: Soltanian Asma , Ghasemi Mohsen , Eftekhari Leila , Soleimanian Vishtasb
Published: May 2023

In this research, in the Glass/In2O3: Sn/ZnO nanostructured bilayers system, In2O3: Sn and ZnO thin films were deposited onto glass using thermal evaporation and spray pyrolysis, respectively. The thin films were annealed at 350, 400‚ 450‚ 500‚ and 550 °C for 90 min. The primitive purpose of this study was to explain the effect of annealing temperature on the wettability, optical, microstructural, and morphological properties of the bilayers using UV–vis spectrophotometer, advanced x-ray diffraction (XDA) analysis, atomic force microscope (AFM), and scanning electron microscope (SEM). Various parameters were determined, including the transmission and reflection coefficients, optical energy band gap, extinction coefficient, refractive index, lattice strain, dislocation density, root mean square roughness, and water contact angle for the samples before UV exposure. The wettability results showed that the hydrophobicity of the In2O3: Sn/ZnO nanostructured thin films without UV radiation was improved by increasing the annealing temperature due to the increase in root mean square (RMS) roughness. Microstructural analysis indicated that increasing the annealing temperature increased crystallite size and decreased the lattice strain. The contact angles of the samples were significantly reduced, and the surface wettability of the layers changed from hydrophobic to hydrophilic after the UV treatment. Finally, the correlation between the optical, microstructural, morphological, and wettability features of the samples was determined. The effective optical band gap was observed to have a linear, inverse square, and quadratic correlation with strain, crystallite size, and dislocation density, respectively.