bluuebunny/crossref_metadata_2025_split huggingface dataset:
Telephone-based application of the Activities of Daily Living Questionnaire in patients with Parkinson's disease
Authors: Rocha Rafaela Moura Santos , Faria-Fortini Iza de , Scalzo Paula Luciana 
Published: June 2024

Abstract
Background The Activities of Daily Living Questionnaire (ADLQ) focuses on assessing the ability to perform activities of daily living (ADLs) based on the self-perception of individuals with Parkinson's disease (PD). A Brazilian Portuguese version of the questionnaire is available (ADLQ-Brazil), and further investigation is needed to fully assess its measurement properties.
Objective To investigate construct and concurrent validity of the telephone-based administration of the ADLQ-Brazil with community individuals with PD.
Methods There were 50 adults with PD (mean age: 68 ± 9.5 years) invited to answer the ADLQ-Brazil on two randomized occasions, face-to-face and by telephone, 7 to 10 days apart. Clinical-based measures including the Movement Disorder Society-Sponsored Revision of the Unified Parkinson Disease Rating Scale, Timed Up and Go Test, Nine Hole Peg Test, Mini-Balance Evaluation Systems Test, Apathy Scale, Beck Depression Inventory, Modified Fatigue Impact Scale, and Parkinson Disease Quality of Life Questionnaire were applied during the first session, to establish construct validity.
Results The total scores on the ADLQ-Brazil were significantly associated with the clinical-based measures, thus providing evidence of construct validity. No significant differences were observed between the mean scores obtained with the face-to-face and telephone-based administration of the questionnaire (95%CI = 0.997). A high level of agreement was found in the total scores obtained between both applications of the ADLQ-Brazil (95%CI = 0.994–0.998), and most of the individual items had, on average, moderate agreement.
Conclusion The findings provide psychometric support for the ADLQ-Brazil as a telephone interview to assess the performance of ADLs in individuals with PD.
Effects of CSR-Related Media Coverage on Corporate Reputation
Authors: Ennenbach Sabrina , Barkela Berend 
Published: June 2024

AbstractBased on framing and attribution theory, this study explores the mediator role of CSR skepticism within the relation of media coverage about corporate social responsibility (CSR) activities on reputation and brand attitudes. Within this investigation, we also explore framing and negativity effects. We conducted an experimental design (German speaking sample, N = 207) using media reports on environmental CSR of a (fictitious) airline company. Our results demonstrate that effects on reputation are fully mediated by CSR skepticism, and effects on brand attitudes are partly mediated by CSR skepticism. Additionally, reputation and brand attitudes are contingent with positive and negative valence of media framing and a negativity bias can be found for framing effects on brand attitudes.
CEO overseas experience, dynamic capabilities and corporate digital transformation: An imprinting theory perspective
Authors: Xu Zhaocheng , Hou Jingchuan 
Published: June 2024

AbstractThe drivers of corporate digital transformation have been the focus of industry and academic attention. To deeply explore the driving factors and influencing mechanisms of corporate digital transformation (CDT), this paper takes Chinese listed manufacturing companies from 2007–2021 as the research object, based on imprinting theory, adopts the Driscoll-Kraay standard error method, examines the impact of CEO overseas experience on CDT, analyzes the moderating mechanisms of market competition and organizational resources, as well as the mediating effect of dynamic capabilities. The study shows that CEO overseas experience significantly promotes CDT, while market competition intensity and organizational slack resources strengthen the above relationship. Dynamic capabilities play a mediating role in the relationship between CEO overseas experience and CDT. The above findings still hold after considering robustness tests and endogeneity treatments. Further research finds that the overseas working experience of a CEO outweighs the learning experience when it comes to CDT; a CEO with overseas experience has a more significant influence on CDT in the company with a low growth rate; when the CEO is also the chair of the board in the executive team of a company, the overseas experience matters more to CDT; the overseas experience of CEOs with deep academic backgrounds has a more significant impact on CDT. This paper states the driving mechanism of corporate digital transformation from the imprinting theory perspective, and the findings are proven to be substantial and offer practical value for the in-depth development of corporate digital transformation.
A meta-analysis of the effects of design thinking on student learning
Authors: Yu Qing , Yu Kun , Lin Rongri 
Published: June 2024

AbstractDesign thinking (DT) is becoming an innovative and popular teaching method. Recently, DT has been used as an unconventional method to develop skills of problem-solving, creativity, and innovation. However, its effects on student learning are unclear. This research aimed to examine the DT’s effects on student learning. The meta-analytic result based on 25 articles showed that DT positively affected student learning (r = 0.436, p < 0.001). Moreover, the learning outcome, treatment duration, grade level, DT model, and region had moderating effects. Additionally, moderator analysis suggested that DT instruction was more effective: (1) when class size is <=30; (2) on multidiscipline; (3) with long-term duration (>=3 months); (4) for secondary school and university students; (5) on student learning engagement, motivation, problem-solving skills, and academic achievement; (6) with the model of Observe, Synthesize, Ideate, and Prototype, and Empathize, Define, Ideate, Prototype, Test; (7) when team size is <=7; (8) on African and Asian students.
Key traits of top answerers on Korean Social Q&A platforms: insights into user performance and entrepreneurial potential
Authors: Jang Moonkyoung , Kim Seongcheol 
Published: June 2024

AbstractDespite the proliferation of tools available to search for information online, such as search engines and generative artificial intelligence (AI), many people still actively use social question-and-answer (Q&A) platforms. This study examines the best answerers on Korean social Q&A platforms as key content producers and potential entrepreneurs. The characteristics of the best answerers, who are the core contributors to social Q&A platforms, were analysed based on the 903 best answerers from the social Q&A platform Naver Knowledge-iN, a leading social Q&A platform in South Korea. Research hypotheses were formulated based on three key dimensions: the intrinsic characteristics of the answers (length, immediacy, and similarity with the question), attributes of the answerer (self-introduction, credentials beyond the social Q&A platform), and level of engagement of the answerer on the platform (variety in the field of answers, diversity in role activities on the platform). An in-depth analysis using a multiple regression model was conducted to test the hypotheses. The findings of the analysis results indicate that enhanced user performance is positively correlated with several factors. Specifically, longer answers, high similarity between questions and answers, additional credentials beyond the social Q&A platform, a broader range of fields answered, and active participation as both asker and answerer all contribute to improved user performance. These findings highlight what sets social Q&A platforms apart from other search tools such as search engines or generative AI chatbots. This study has practical implications for social Q&A platforms seeking to identify the best contributors who are likely to produce quality content and are potential entrepreneurs.
Mutual averaged non-commutativity of quantum operator algebras
Authors: Zanardi Paolo 
Published: June 2024

We introduce an elementary measure of non-commutativity between two algebras of quantum operators acting on the same Hilbert space. This quantity, which we call Mutual Averaged Non-commutativity (MAN), is a simple generalization of a type of averaged Out-of-Time-Order-Correlators used in the study of quantum scrambling and chaos. MAN is defined by a Haar averaged squared norm of a commutator and for some types of algebras is manifestly of entropic nature. In particular, when the two algebras coincide the corresponding self-MAN can be fully computed in terms of the structural data of the associated Hilbert space decomposition. Properties and bounds of MAN are established in general and several concrete examples are discussed. Remarkably, for an important class of algebras, —which includes factors and maximal Abelian ones—MAN can be expressed in the terms of the algebras projections CP-maps. Assuming that the latter can be enacted as physical processes, one can devise operational protocols to directly estimate the MAN of a pair of algebras.
A DFT/MRCI Hamiltonian parameterized using only ab initio data: I. valence excited states
Authors: Costain Teagan Shane , Ogden Victoria , Neville Simon P. , Schuurman Michael S. 
Published: June 2024

A new combined density functional theory and multi-reference configuration interaction (DFT/MRCI) Hamiltonian parameterized solely using the benchmark ab initio vertical excitation energies obtained from the QUEST databases is presented. This new formulation differs from all previous versions of the method in that the choice of the underlying exchange–correlation (XC) functional employed to construct the one-particle (orbital) basis is considered, and a new XC functional, QTP17, is chosen for its ability to generate a balanced description of core and valence vertical excitation energies. The ability of the new DFT/MRCI Hamiltonian, termed QE8, to furnish accurate excitation energies is confirmed using benchmark quantum chemistry computations, and a mean absolute error of 0.16 eV is determined for the wide range of electronic excitations included in the validation dataset. In particular, the QE8 Hamiltonian dramatically improves the performance of DFT/MRCI for doubly excited states. The performance of fast approximate DFT/MRCI methods, p-DFT/MRCI and DFT/MRCI(2), is also evaluated using the QE8 Hamiltonian, and they are found to yield excitation energies in quantitative agreement with the parent DFT/MRCI method, with the two methods exhibiting a mean difference of 0.01 eV with respect to DFT/MRCI over the entire benchmark set.
Dimeric vs bidimeric cells for molecular quantum cellular automata composed of oxidized norbornadiene and its polycyclic derivatives
Authors: Palii Andrew , Belonovich Valeria , Aldoshin Sergey , Tsukerblat Boris 
Published: June 2024

Quantum Dot Cellular Automata (QCA) is an emerging trend in the field of nanoelectronics, and computing can be regarded as an alternative to the traditional complementary metal–oxide–semiconductor technology. The paper is devoted to the study of the key functional properties of the cells for molecular QCA based on mixed valence molecules. The theoretical results for the heat dissipation under the conditions of the fast nonadiabatic switching event and cell–cell response function are obtained in the framework of the quantum-mechanical vibronic approach. These results are parameterized using the previous reliable ab initio calculations performed for oxidized norbornadiene and its polycyclic derivatives with variable lengths of the bridge. The comparative analysis of the dimeric and bidimeric molecular cells composed of these compounds is given. It is underlined that the conditions of a strong non-linear response and a low heat release are contradictory. However, despite this problem, a parametric regime is proposed, which provides a low heat release in combination with a strong nonlinear response of the working cell to the electric field induced by the polarized driver cell.
Chapter 37. Geoffrey of Monmouth and the evolution of Excalibur
Authors: Aronstein Susan , Pugh Tison 
Published: June 2024

King Arthur’s legendary sword – Caliburnus in Latin, Caledfwlch in Welsh, Escalibor in Old French, and Excalibur in Middle and Modern English – evolves in its cultural meaning from its earliest depictions in quasi-historical Latin texts through twentieth-century films and novels. As evidenced in a range of sources, including Culhwch ac Olwen, Geoffrey of Monmouth’s Historia regum Britanniae, Sir Thomas Malory’s Morte D’Arthur, Lord Alfred Tennyson’s Idylls of the King, T.H. White’s The Once and Future King, Marion Zimmer Bradley’s The Mists of Avalon, and John Boorman’s Excalibur, Excalibur symbolically confers political and spiritual legitimacy as it assists in defining Arthurian values, with its meaning shifting with the times and the cultural moment in which it (re)appears.
Adult L2 learners’ morphological sensitivity in a morphosyllabic language
Authors: Ke Sihui (Echo) , Jin Rui , Koda Keiko 
Published: June 2024

Abstract
This study examined adult L2 learners’ morphological sensitivity in Chinese, a morphosyllabic language, and
explored whether there is any modulating effects of L2 proficiency. Two word naming experiments (segment shifting and standard
word naming) were administered to three participant groups, including native Chinese speakers, higher L2 Chinese proficiency
learners, and lower L2 Chinese proficiency learners. In both experiments, reaction times (RTs) displayed only main effects of
Chinese proficiency group and word type. This suggests that the morphological processing of L2 learners did not differ from that
of native speakers, although the RTs of L2 learners were longer and exhibited more variability. Concerning error rates, both
experiments showed that learners with higher and lower L2 proficiency had significantly higher error rates for words with
unreliable morphological cues compared to those with reliable cues. Taken together, these findings indicate that L2 learners
developed sensitivity to intraword morphological structure and employed decompositional strategies when reading Chinese words,
irrespective of their L2 proficiency levels.
Circularly polarized beam-scanning antenna with eliminated open-stopband
Authors: Chen Xiaolong , Li Kang , Du Liuge , Liu Qiwei , Wang Guangsheng , Kong Fanmin 
Published: June 2024

Abstract
In the paper, a circularly polarized (CP) frequency beam-scanning antenna based on photonic crystal (PC) is proposed, which possesses the characteristics of eliminating open-stopband (OSB). In the microwave field, the PC is typically constructed by embedding the air or metal column into the material. However, it is difficult for the PC with perfect magnetic conductor walls to accomplish the degeneracy of eigenmodes at the Γ point. Additionally, antennas based on the PC with perfect electric conductor walls exhibit a narrow scanning angle. The proposed unit based on 1D PC possesses perfect electric and magnetic conductor walls. The unit can not only eliminate OSB but also has a wide scanning range. In addition, the unit breaks into the original symmetrical field distributions of 1D PC. Based on the perturbation theory, leaky-wave slots can be designed to generate electromagnetic waves with the CP characteristics. And a CP antenna based on the unit is designed. The antenna can achieve a 70° beam-scanning within the entire operating band (7.6–9.2 GHz), and the variation of the realized gains is below 1.0 dBi around the broadside frequency. Simultaneously, the antenna is fabricated and measured. The measured results are in accordance with the simulation, which validates the success of the design.
Inactivation effects of plasma-activated saline prepared by the mixed gases of discharged air and different gases
Authors: Jia Yikang , Zhang Rui , Zhao Pengyu , Ma Sihong , Li Kaiyu , Wang Zifeng , Zhang Jingyao , Guo Li , Zhao Yuan , Liu Dingxin 
Published: June 2024

Abstract
Plasma-activated water can efficiently inactivate pathogenic microorganisms and is considered to be a potent disinfectant in the medical, food, and agricultural industries. In this study, the air discharged by the gliding arc was mixed with different gases including O2, ambient air, synthetic air, and N2 at different flow rates to produce the activated gases, which were then activated gases were inducted into saline to prepare plasma-activated saline (PAS). The gaseous reactive species in the activated gases were composed of NO, NO2, and N2O5 and the aqueous reactive species in the PAS included H2O2, NO2
−, NO3
–,

⋅

OH

, and 1O2 with different intensities, while the inactivation effects of the PAS also varied with the type and the flow rates of the mixed gases in the activated gases. The inactivation effects of the PAS treated by the discharged air mixed with O2, ambient air, and synthetic air started to become weak after 3 h placement. Scavenger analysis demonstrated that the 1O2 played a critical role in the inactivation process. This study indicated that air discharged by the gliding arc mixed with different gases could regulate the reactive species and the biological effects of PAS, providing insight into the preparation of PAS applied for disinfection.
Enhanced energy density in cellulose doped polyimide-based all organic composites for high temperature capacitor applications
Authors: Shen Yue , Wang Chengwei , Zheng Xin , Zhang Jinxi , Cao XiaoDan , Ren Kailiang 
Published: June 2024

Abstract
The growing demand for electronic devices has induced a significant requirement for high energy density capacitors. In this investigation, we introduced small groups of cyanoethyl cellulose (CEC) into a polyimide (PI) substrate to create all organic CEC/PI composite films for high energy density capacitor applications. Due to the large dipole moment in C–CN dipoles in CEC groups, the dielectric constant of the CEC/PI-5 (5% CEC) composite increased by 26.3% to 4.31. Compared to the pristine PI film at room temperature, the breakdown field of the CEC/PI-0.5 increased by 4.7% from 502.29 to 526.1 MV m−1 and the energy storage density increased by 95% to 11.70 J cm−3. Furthermore, the CEC/PI-0.5 film exhibited an energy density of 6.39 J cm−3 with the breakdown field of 400 MV m−1 at 150 °C, which is 93.05% higher in energy densities than that of the pristine PI film. Furthermore, simulation results indicate that CEC groups can introduce deep traps in the CEC/PI composite, which can inhibit charge movement in the composite and increase the breakdown field of it. In this study, it was found that by adding small amount of CEC polar group in PI film, the high temperature energy density of CEC/PI composite materials was significantly improved. This study not only makes a significant contribution to the development of high-temperature energy-density capacitors, but also pave a way by using small molecule polar polymers to improve the energy density of dielectric materials at high temperature.
Degradation modeling and remaining life prediction of multi-state long-life systems under random environmental influences
Authors: Sun Chaoli , Shen Juan , Zhang Xiaohong , Shi Hui , Wang Yang 
Published: June 2024

Abstract
For large-scale systems such as bridges, which have long operating lifetimes, the operating states are usually categorized into multiple levels, and they are also subjected to various random environmental influences during operation. However, due to the significant granularity in the categorization of system states, it is difficult to assess the system state transitions influenced by random environmental factors, which compromises the accuracy of remaining life predictions. In this study, we focus on long-life systems with multiple states and investigate the degradation modeling and remaining life prediction considering the impact of random environmental factors. The system degradation process, based on the semi-Markov process and multi-state modeling, was decomposed into states using the sub-exponential approximation method. A state transition probability model considering exponential environmental influences was constructed. Furthermore, based on the developed model for calculating the distribution of sojourn times in multiple states, a reliability and remaining life prediction model for the system was derived. By taking the bridge deck as a case study, the verification and analysis of remaining life prediction for the bridge deck were conducted under the influences of average daily traffic volume and bridge age. The results indicate that both the average daily traffic volume and bridge age have a significant impact on the degradation of the bridge deck. The relative error of the predicted results considering the above effects falls within the range of 1.77%–12.18%.
Effects and selection of update rates in acoustic levitator
Authors: Jiang Liangxu , Wang Yingwei , Chen Yiwei , Chen Ziyi , Li Xinbo 
Published: June 2024

Abstract
Acoustic manipulation holds excellent potential for applications in life sciences, medicine, physics, and contactless measurement with non-contact, versatility, and safety advantages. The update rate (control frequency) plays a critical role in determining the performance of acoustic manipulation. However, few studies have investigated this aspect. To address this gap, this paper investigated the effects and selection of the update rate in acoustic manipulation by analyzing the dynamic characteristics of the levitated object and discussing the hardware constraints. The results revealed that the update rate significantly impacts manipulation performance. It is closely related to the rise time, defined as the duration for a system response to rise from zero to its final value. Simulations and physical experiments verified this conclusion. Furthermore, we found that when the update rate is less than the reciprocal of the rise time, an increase in the update rate leads to a significant improvement in performance, with a monotonically increasing relationship. This implies that the update rate can be selected according to the rise time. It is recommended that the update rate be chosen beyond the reciprocal of the rise time, for optimal performance. These findings will help optimize acoustic manipulation performance and facilitate further development and application of acoustic manipulation technology.
Fault diagnosis of induction motor in the cooling water supply system using a multi-channel data fusion transformer with limited sample conditions*
Authors: Niu Tianyu , Wang Jianyu , Miao Qiang 
Published: June 2024

Abstract
Induction motors play a vital role in the cooling water supply system of hydropower facilities. However, it is not feasible to collect sufficient fault samples in a hydropower station. The scarcity of labeled samples poses a challenge in developing powerful diagnostic models with high classification accuracy. To address this challenge, this paper proposes a multi-channel data fusion strategy based on a transformer for feature enhancement. Initially, the original signals are transferred into non-overlapping single-channel data patches to preserve correlation features across different channels. Next, temporal and spatial attention modules are applied to process the data patches, which can learn and fuse temporal and spatial information, respectively. Subsequently, the data patches are embedded to retain position information and represent fault-related features through class embedding, which are further processed by a transformer encoder with self-attention mechanisms. Finally, the classification task is achieved by using a multilayer perceptron layer connected to the class embedding. While dealing with limited training samples, the proposed method can learn robust features that are beneficial to improve the fault diagnosis ability of induction motors. The comparison of the proposed method with three basic models and two improved methods demonstrates the superiority of the proposed method in accuracy and feature clustering performance under limited sample conditions. In addition, ablation experiments demonstrate the necessity of each module in the proposed method.