bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of boardroom diversity on corporate financial performance
Authors: Bagh Tanveer , Khan Muhammad Asif , Meyer Natanya , Riaz Hammad 
Published: May 2023

AbstractThis study investigates the impact of boardroom diversity (BD) on firms’ financial performance (FP), drawing on economic and resource dependency theory. The study further explores the influence of strategic change (SC) on this nexus, using a six-dimensional index to measurse BD and SC. A dataset of 240 non-financial firms listed on four stock exchanges (Moscow, Shanghai, Bombay, and Pakistan) over a 13-year period (2008–2020) is analyzed employing the generalized method of moments to address the common endogeneity problem in econometrics specification. The empirical results indicate that BD has a positive impact on FP, however, the impact is weakened by SC. The robustness of the findings is confirmed through alternative estimators. The study provides useful policy implications for managers and practitioners, suggesting that increasing BD can lead to improved FP, but careful consideration must be given to how SC may influence this connection.
The Zika virus crisis during the 2016 Rio Olympic Games: a media cover analysis
Authors: Toubes Diego R. , de la Torre Jaime Álvarez , de Araújo Arthur Filipe 
Published: May 2023

AbstractDuring times of crisis, media coverage increases significantly, shaping public opinion and creating images of the places where these events occur. In this context, this paper analyses the Zika virus epidemic in Brazil, a past crisis that gained increased media attention during the months leading up to the 2016 Olympic Games in Rio, to identify the cognitive and affective components of published information. To this end, we subjected 1034 headlines (from digital editions of leading Spanish daily newspapers) related to tourism security at the Olympic Games to content analysis and employed a series of attributes to approach the cognitive and affective components of the information analysed. The results reveal that alarmist and negative headlines are more frequent when security issues, particularly citizen security, are reported. News headlines about the Olympic Games are generally descriptive and more positive. In the field of health security, citation-type headlines—those citing information provided by experts or authorities—are used more frequently. By analysing a past crisis, this study has several implications for Destination Management Organisations (DMOs) dealing with such events. In this context, we highlight some good practices to maximise informative news and minimise alarmist ones.
Learning to teach through noticing: a bibliometric review of teacher noticing research in mathematics education during 2006–2021
Authors: Wei Yicheng , Zhang Qiaoping , Guo Jing , Chen Min 
Published: May 2023

AbstractTeacher noticing, as an expertize of teacher competency, has received increased attention by researchers in recent years. This bibliometric review systematically compares the current research status, research hotspots, and development trends of teacher noticing in mathematics education. It provides a reference for the future research development on mathematics teacher noticing. Articles related to mathematics teacher noticing in the Scopus online database were selected for the period 2006–2021. CiteSpace, R, and other bibliometric softwares were used to analyze the number of publications, research strengths of countries and institutions, core journals, keyword co-occurrences, and co-citation analyses. The results indicated that the number of mathematics teacher noticing publications is increasing, but as yet the total body of literature is too small and has many gaps. By country, the United States is at the forefront of research in this area and, by institutions, UC Irvine and Northwestern University are the leaders. Among the reviewed studies, framework is the main research theory in this field; the use of videos is the main research instrument; prospective teachers are the main research participants; and developing teachers’ teaching skills is the main research aim. International or regional cooperation is relatively lacking. Considering the lack of richness in the current perspectives, this review has also offered suggestions for future research directions.
Sentiment and emotion in financial journalism: a corpus-based, cross-linguistic analysis of the effects of COVID
Authors: Vargas-Sierra Chelo , Orts M. Ángeles 
Published: May 2023

AbstractSentiment and emotion play a crucial role in financial journalism, influencing market perceptions and reactions. However, the impact of the COVID-19 crisis on the language used in financial newspapers remains underexplored. The present study addresses this gap by comparing data from specialized financial newspapers in English and Spanish, focusing on the years immediately prior to the COVID-19 crisis (2018–2019) and during the pandemic itself (2020–2021). We aim to explore how the economic upheaval of the latter period was conveyed in these publications and investigate the changes in sentiment and emotion in their language compared to the previous timeframe. To this end, we compiled comparable corpora of news items from two respected financial newspapers (The Economist and Expansión), covering both the pre-COVID and pandemic periods. Our corpus-based, contrastive EN-ES analysis of lexically polarized words and emotions allows us to describe the publications’ positioning in the two periods. We further filter lexical items using the CNN Business Fear and Greed Index, as fear and greed are the opposing emotional states most often linked to financial market unpredictability and volatility. This novel analysis is expected to provide a holistic picture of how these specialist periodicals in English and Spanish have emotionally verbalized the economic havoc of the COVID-19 period compared to their previous linguistic behaviour. By doing so, our study contributes to the understanding of sentiment and emotion in financial journalism, shedding light on how crises can reshape the linguistic landscape of the industry.
Thermodynamic Functions for N2 from the Total Partition Sum and its Moments
Authors: Gamache Robert R. , Orphanos Nicholas G. 
Published: May 2023

The total partition sum, Q(T), and its first and second moments, Q′(T) and Q″(T), were determined in terms of the total internal partition sum, Qint(T), and the translational partition sum, Qtrans(T), for 14N2, 14N15N, and 15N2. The total internal partition sum was computed using term values determined using the molecular constants of Le Roy et al. [J. Chem. Phys. 125, 164310 (2006)] for the ground electronic state and molecular constants for the first eight excited electronic states. The work of Le Roy et al. provides the best term values available and, hence, the most accurate total internal partition sums and their first and second moments. The convergence of Qint(T) and its moments were carefully studied and resulted in values with small uncertainty to 9000 K. From these quantities, the isobaric heat capacity, the Helmholtz energy, the entropy, the enthalpy, the Gibbs function, and the JANAF functions S0, hef, and gef, were computed on a 1 K grid from 1 to 9000 K. The resulting thermodynamic quantities are the most accurately determined from the direct summation of Q(T), Q′(T) and Q″(T). These data are compared with literature values.
Chip-embedded antenna-in-package module using modified polyimide (MPI) low-loss materials for millimeter-wave application
Authors: Song Jaewoo , Park Se-Hoon , Nam Hyun-jin , Naqi Muhammad 
Published: May 2023

In advanced millimeter-wave packaging technology, signal loss is considered the main problem, which can be resolved using low-loss circuits for minimizing transmission losses. Herein, the radio frequency integrated circuit (RF-IC), an active element, and the antenna are assembled in one package form to realize such a low-loss circuit by utilizing the modified polyimide (MPI) material. The material analysis of MPI reveals a dielectric constant of 2.5 with a loss of 0.0025 mm-waves (at 20 GHz) and confirms the curability of the proposed film at lower temperatures through differential scanning calorimetry analysis. Next, the antenna and the RF-IC were assembled in a single package using MPI to verify their suitability for the millimeter wave package. The 1 dB gain compression point (P1dB) of the integrated module is measured to be 31 dBm, with 20.38 dBm for a single RF-IC, confirming that the proposed MPI is a suitable candidate as a low-loss circuit for modern millimeter-wave packaging technology.
Pulsed laser ablation production of Ni/NiO nano electrocatalysts for oxygen evolution reaction
Authors: Iacono Valentina , Scuderi Mario , Amoruso Maria Laura , Gulino Antonino , Ruffino Francesco , Mirabella Salvo 
Published: May 2023

Efficient and sustainable materials are requested to overcome the actual major issues related to green energy production. Ni/NiO nanoparticles (NPs, 2–4 nm in size) produced by Pulsed Laser Ablation in Liquid (PLAL) are reported as highly efficient and stable electrocatalysts for oxygen evolution reaction (OER) in water splitting applications. Ni/NiO NPs dispersions are obtained by ablating a Ni target immersed in deionized water with an Nd:YAG nanosecond pulsed laser. NPs size and density were driven by laser energy fluence (ranging from 8 to 10 J cm−2) and shown to have an impact on OER performance. Ni/NiO NPs were characterized by scanning and transmission electron microscopy, x-ray diffraction, photoemission spectroscopy, and Rutherford back-scattering spectrometry. By drop-casting onto graphene paper, anode electrodes were fabricated for electrochemical water splitting in alkaline electrolytes. The extrinsic and intrinsic catalytic performances for OER have been quantified, achieving an overpotential of 308 mV (at a current density of 10 mA cm−2) and unprecedented mass activity of more than 16 A mg−1, using NPs synthesized with the highest and lowest laser energy fluence, respectively. The impact of NPs’ size and density on OER performances has been clarified, opening the way for PLAL synthesis as a promising technique for highly efficient nano-electrocatalysts production.
Optimization design of broadband absorber for high optical transparency
Authors: Zheng Yuejun , Long Yan , Gao Mian , Liao Dunwei , Chen Chen , Chen Qiang , Fu Yunqi 
Published: May 2023

A broadband absorber with high optical transparency is proposed and realized using an optimization-designed method. The absorber’s reflection, lossy, and dielectric layers are considered for obtaining high optical transparency. First, to maintain microwave absorption, the artificial structures of the reflection layer are designed on the micron scale. Low square resistance and high optical transparency are achieved simultaneously. Then, considering the artificial structure fabrication process [fabricated on polyethylene terephthalate (PET)], high light transmittance polymethyl methacrylate (PMMA) was selected as the material of the dielectric layer. The permittivity of PMMA is similar to that of PET. The light reflection of layer-to-layer is reduced, and the light transmittance is improved. Finally, under the same microwave absorption band and absorption efficiency, the topology structures of the lossy layer are optimized to increase the duty ratio and the light transmittance. Through the above-mentioned design, high optical transparency and broadband microwave absorption are achieved simultaneously. The simulated and measured results prove that more than 90% of the absorption rate is obtained from 4.4 to 11.5 GHz (89.3%) and the average light transmittance reached 80%. The results verify the optimization-designed method’s effectiveness and provide technical support for transparent absorbers to be better applied to optical windows.
Leaving in the lead: Priorities for perovskite photovoltaics
Authors: Berry Joseph J. , Irwin Michael D. 
Published: May 2023

The need for moving electricity generation to a sustainable model requires the development of low cost ubiquitous photovoltaics (PVs) to harvest the planet’s primary energy source, the Sun. Building upon the successes of Si-based and CdTe-based PV technologies, PVs with lower-embodied energy and requiring lower carbon dioxide equivalent to produce will be required to meet long-term sustainability goals. In particular, thin-film technologies, such as high-efficiency metal halide perovskite (MHP) PV modules, provide avenues to reduced embodied energy, lower energy payback times, and enabling energy-dense tandems [H. M. Wikoff et al., Joule 6(7), 1710–1725 (2022) and V. Fthenakis, Renewable Sustainable Energy Rev. 13(9), 2746–2750 (2009)]. The ability to improve efficiency and lower energy payback time of next generation thin-film PV modules is a critical foundation for green H2 and electrification more broadly. In this regard, Pb-based MHP-PVs have separated themselves as a result of the high-efficiencies that can be realized across a range of electronic gaps. Questions regarding Pb-based MHP-PVs that are often asked, as the challenges of efficiency and reliability are met, revolve around the “problem” of the Pb content. Specifically, “does Pb toxicity preclude MHP-PV modules from being deployed at the TW scale?” To provide this sense of scale, in 2021, the United States burned 10.5 quads of coal, with 90% of that used for electricity generation. Given the energy content of coal of 29 MJ/kg and a residual lead content in that coal of 30 mg/kg, electricity generation from coal resulted in more lead emitted into the atmosphere than what would be required to produce over 2 TW of MHP-PV name plate capacity (assuming a 20% module efficiency and an ∼700 nm active layer). This amounts to more PV power than has been deployed across all PV technologies and geographies to date. This only includes US coal consumption; the rest of the world would be much larger. This example illustrates the scale of the material usage relative to the energy production. Imagine a power-generation technology that offsets these Pb emissions from coal and essentially sequesters this Pb content between two sheets of impermeable glass. Why should we let Pb’s history of misuse prevent it from being included in next generation PV modules that can enable a sustainable energy future?
How Turkish citizens perceive Syrian refugees in Turkey
Authors: Armağan-Boğatekin Merve , Ho Ivy K. 
Published: May 2023

Abstract
Turkey is the largest refugee host country in the world with about 3.5 million registered Syrian refugees. In this study, we explored intergroup relations between Syrian refugees and Turks in Turkey. We focused on how Turkish people perceived Syrian refugees in Turkey and how these two groups interacted daily. We used an adaptation of McAdams’ Life Story Interview and asked questions about Syrian refugees in the Turkish context. Using this open-ended, qualitative interviewing technique allowed us to understand how Turks and Syrians interacted on a daily basis and what shaped Turkish people’s perceptions about refugees. We conducted a narrative analysis based on agency and communion themes. Results showed that age of participant was negatively correlated with communion, whereas education of participant was positively correlated with agency. Agency and communion positively correlated with each other. Narratives reflected a range of reflections Turkish citizens had about the large influx of Syrian refugees.
Common ground management via evidential markers in Turkish
Authors: Kuram Kadri 
Published: May 2023

Abstract
This paper is a reanalysis of the Turkish evidential markers as Common Ground management tools. Based on
conversational data from Turkish National Corpus and a real-life example from the media, I demonstrate how the traditional
description of these markers fails to account for their dialogic uses. The data presented in this paper show that Turkish speakers
alternate between these markers in order to mark their epistemic relation to the utterance content relative to their addressee.
The relevant pragmatic notions marked with the Turkish evidential system are asymmetric and symmetric epistemic relation of the
speaker and addressee, resulting in the speaker’s evaluation of epistemic primacy and shared information, respectively. Turkish
also has another symmetric position where the speaker abstains from primacy claim without specifying the addressee’s epistemic
relation. These observations lead to the conclusion that Turkish evidentiality is in fact an intersubjective epistemic category in
the pragmatic component of language where intersubjectivity is defined as the speaker’s evaluation of the interlocutors’
differential perspectives.
Paradigms as second-order schemas in English noun-participle compounding
Authors: Zhan Hongwei , Huang Sihong , Sun Lei 
Published: May 2023

Abstract
In Cognitive Linguistics, the noun-participle compound is a grammatical category with instances of different degrees of membership. The purpose of this study is to explore the categorization processes and schematic networks in noun-participle compounding. Working with the data of noun-participle compounds from COHA, we identified three types of participles: deverbal, denominal and ambicategorical. Two schemas [Nj-Vk-ed]A and [Nj-Nk-ed]A are established as generalizations of compounds of deverbal (e.g. man-made) and denominal participles (e.g. life-sized). Compounds of ambicategorical participles (e.g. snow-covered), are sanctioned by two schemas simultaneously, which give rise to ambiguous morphological readings. This study confirms the labor division between mother-daughter links and sister links in a schema network. The higher-level generalization is encoded by paradigmatically-related sister schemas, with the sister relations built on the shared structure links and a bi-directional conversion of the stem of ppl (i.e., noun-to-verb or verb-to-noun). The sister schemas as a paradigm is a more parsimonious generalization of the compounds, than the posited mother schema.
Parametric level-set inverse problems with stochastic background estimation
Authors: Belliveau Patrick , Haber Eldad 
Published: May 2023

Abstract
We study parametric shape reconstruction inverse problems in which the object of interest is embedded in a heterogeneous background medium that is known only approximately. We model the background medium as a Gaussian random field and pose shape reconstruction as a stochastic programming problem in which we seek to minimize the expected value, with respect to the background field, of a stochastic objective function. We develop a computationally efficient algorithm based on the sample average approximation that reduces the effect of uncertainty in the background medium on shape recovery. We demonstrate that by using accelerated stochastic gradient descent, we can apply our method to large-scale problems. The capabilities of our method are demonstrated on a simple two-dimensional model problem and in a more demanding application to a three-dimensional inverse conductivity problem in geophysical imaging.
Ultrawideband lightweight absorber based on composite strategy with active control of absorption in the UHF band
Authors: Zhao Wenbo , Jiang Tian , Yang Yifan , Qian Guangxu , Chen Ke , Zhao Junming , Feng Yijun 
Published: May 2023

Abstract
In this paper, a composite strategy has been developed to achieve continuous absorption coverage from the ultrahigh-frequency (UHF) band to the Ku band. Based on this strategy, an ultrawideband lightweight composite metamaterial absorber is fabricated and measured. The composite absorber comprises two cascaded parts operating in separated frequency bands. First, we design a polarization-insensitive tunable absorber in the UHF band based on the equivalent circuit model. The measured results indicate that the tunable UHF absorber obtains a tunable −10 dB reflection coefficient from 0.88 to 1.48 GHz. Furthermore, a lightweight 3D absorber is applied to cascade with the tunable UHF absorber to constitute a ultrawideband composite absorber. The composite absorber achieves an ultrawideband absorption ranging from 0.78 to 18 GHz with a reflection coefficient below −10 dB. The overall composite structure is extremely lightweight with a surface density below 0.2897 g cm−2. This composite absorber also exhibits good angular stability, low profile, and polarization insensitiveness. We think this work is of great application potential for military and civilian applications.
Space charge dynamics of epoxy/micro-Al2O3 composites under multi-physical fields
Authors: Xie Zongliang , Pang Xi , Xu Tianlei , Liu Peng , Wei Dingxin , Wang Jingxin , Wu Zehua , Li He , Peng Zongren 
Published: May 2023

Abstract
The direct current gas insulated transmission line (DC GIL) technique has emerged as a promising solution to achieve carbon neutrality and enable efficient long-distance transmission of renewable energy. However, the stable and long-term operation of DC GIL insulators poses a significant challenge that requires insulating materials capable of overcoming charge accumulation issues against multi-fields, including electric, temperature, and force. Here, we investigate the space charge dynamics and electrical conductivity of epoxy (EP) resin and EP/micro-Al2O3 composites under various stimuli of electrical, thermal, and mechanical stresses, using two modified pulsed electro-acoustic and electrical conductivity measurement systems with mechanical pressure control. It is found that stronger electric fields and higher temperature conditions have a more significant impact on space charge accumulation, while higher mechanical stress results in more shallow traps in EP composites. Furthermore, the bipolar carrier transport modeling and numerical calculations are performed to rationalize the experimental observations and reveal the mechanistic impacts of multi-physical fields on the space charge behavior of EP composites for DC GIL insulator use.
Event identification based on sample feature correction algorithm for Φ-OTDR
Authors: Du Xuan , Jia Muxin , Huang Sheng , Sun Zhaoxiong , Tian Ye , Chai Quan , Li Wenchao , Zhang Jianzhong 
Published: May 2023

Abstract
To address the problem of decreased recognition accuracy of event samples in practical phase-sensitive optical time-domain reflectometer (Φ-OTDR) monitoring scenarios due to external environmental interference, this paper proposes a feature correction algorithm based on sample feature weighting method. By establishing a correlation evaluation method and a weight allocation scheme based on sample feature correlation, combined with the back propagation (BP) algorithm, an average recognition rate of 99.50% for four types of events (climbing, strong wind, knocking and background, 6000 samples) in strong wind environments was achieved, which is 3% higher than the algorithm using BP classifier. The results demonstrate that the proposed algorithm can effectively enhance the performance of Φ-OTDR in complex environments.