bluuebunny/crossref_metadata_2025_split huggingface dataset:
Production of
Xb
via radiative transition of
ϒ(10753)
Authors: Liu Shi-Dong , Cai Hao-Dong , Cai Zu-Xin , Gao Hong-Shuo , Li Gang , Wang Fan , Xie Ju-Jun 
Published: May 2024

We studied the radiative transitions between the ϒ(10753), the S−D mixed state of the ϒ(4S) and ϒ1(3D13), and the Xb, the heavy quark flavor symmetry counterpart of the X(3782) in the bottomonium sector. The radiative transition was assumed to occur through the intermediate bottom mesons, including P-wave B1(′) mesons as well as the S-wave B(*) ones. The consideration of the B1(′) mesons leads to the couplings to be in S-wave, and hence enhances the contributions of the intermediate meson loops. The radiative decay width for the ϒ(10753)→γXb is predicted to be order of 10 keV, corresponding to a branching fraction of 10−4. Based on the theoretical results, we strongly suggest to search for the Xb in the e+e−→γXb with Xb→ππχb1 near s=10.754  GeV, and it is hoped that the calculations here could be tested by the future Belle II experiments.

Published by the American Physical Society
2024
B→D*
and
Bs→Ds*
vector, axial-vector and tensor form factors for the full
q2
range from lattice QCD
Authors: Harrison Judd , Davies Christine T. H. ,   HPQCD Collaboration
Published: May 2024

We compute the complete set of Standard Model (SM) and tensor B→D*ℓν¯ and Bs→Ds*ℓν¯ semileptonic form factors across the full kinematic range of the decays using second generation MILC nf=2+1+1 highly improved staggered quark (HISQ) gluon field configurations and HISQ valence quarks, with the method. Lattice spacings range from 0.09 to 0.044 fm with pion masses from ≈300  MeV down to the physical value and heavy quark masses ranging between ≈1.5mc and 4.1mc≈0.9mb; currents are normalized nonperturbatively. Using the recent untagged B→D*ℓν¯ℓ data from Belle and Bs→Ds*μν¯μ from LHCb together with our form factors, we determine a model independent value of Vcb=39.03(56)exp(67)latt×10−3, in agreement with previous exclusive determinations and in tension with the most recent inclusive result at the level of 3.6σ. We also observe a ≈1σ tension between the shape of the differential decay rates computed using our form factors and those measured by Belle. We compute a purely theoretical Standard Model value for the ratio of semitauonic and semimuonic decay rates, R(D*)=0.273(15), which we find to be closer to the recent Belle measurement and heavy flavor averaging group average than theory predictions using fits to experimental differential rate data for B→D*ℓν¯ℓ. Determining Vcb from our form factors and the experimental total rate for B→D*ℓν also gives a value in agreement with inclusive results. We also compute the longitudinal polarization fraction for the semitauonic mode, FLD*=0.395(24), which is in tension at the level of 2.2σ with the recent Belle measurement. Our calculation combines B→D* and Bs→Ds* lattice results in a simultaneous chiral continuum extrapolation, maintaining correlations between both modes. We then give results for both B→D* and Bs→Ds*, with the Bs→Ds* results superseding our previous lattice computation. We also give the chiral perturbation theory needed to analyze the tensor form factors.

Published by the American Physical Society
2024
Utilizing network analysis to explore student qualitative inferential reasoning chains
Authors: Speirs J. Caleb , Stetzer MacKenzie R. , Lindsey Beth A. 
Published: May 2024

Over the course of the introductory calculus-based physics course, students are often expected to build conceptual understanding and develop and refine skills in problem solving and qualitative inferential reasoning. Many of the research-based materials developed over the past 30 years by the physics education research community use sequences of scaffolded questions to step students through a qualitative inferential reasoning chain. It is often tacitly assumed that, in addition to building conceptual understanding, such materials improve qualitative reasoning skills. However, clear documentation of the impact of such materials on qualitative reasoning skills is critical. New methodologies are needed to better study reasoning processes and to disentangle, to the extent possible, processes related to physics content from processes general to all human reasoning. As a result, we have employed network analysis methodologies to examine student responses to reasoning-related tasks in order to gain deeper insight into the nature of student reasoning in physics. In this paper, we show that network analysis metrics are both interpretable and valuable when applied to student reasoning data generated from . We also demonstrate that documentation of improvements in the articulation of specific lines of reasoning can be obtained from a network analysis of responses to reasoning chain construction tasks.

Published by the American Physical Society
2024
Unveiling optimal half-cell potentials in RCC slabs through cutting-edge ANFIS, ANN and genetic algorithm integration
Authors: Pandey Shikha , Gandhi Sumit , Murthy Yogesh Iyer 
Published: May 2024

Purpose
The purpose of this study is to compare the prediction models for half-cell potential (HCP) of RCC slabs cathodically protected using pure magnesium anodes and subjected to chloride ingress.The models for HCP using 1,134 data set values based on experimentation are developed and compared using ANFIS, artificial neural network (ANN) and integrated ANN-GA algorithms.

Design/methodology/approach
In this study, RCC slabs, 1000 mm × 1000 mm × 100 mm were cast. Five slabs were cast with 3.5% NaCl by weight of cement, and five more were cast without NaCl. The distance of the point under consideration from the anode in the x- and y-axes, temperature, relative humidity and age of the slab in days were the input parameters, while the HCP values with reference to the Standard Calomel Electrode were the output. Experimental values consisting of 80 HCP values per slab per day were collected for 270 days and were averaged for both cases to generate the prediction model.

Findings
In this study, the premise and consequent parameters are trained, validated and tested using ANFIS, ANN and by using ANN as fitness function of GA. The MAPE, RMSE and MAE of the ANFIS model were 24.57, 1702.601 and 871.762, respectively. Amongst the ANN algorithms, Levenberg−Marquardt (LM) algorithm outperforms the other methods, with an overall R-value of 0.983. GA with ANN as the objective function proves to be the best means for the development of prediction model.

Originality/value
Based on the original experimental values, the performance of ANFIS, ANN and GA with ANN as objective function provides excellent results.
Do board networks matter for corporate cash holdings? Evidence from Australian firms
Authors: Rumokoy Lawren Julio , Liu Benjamin , Chung Richard 
Published: May 2024

Purpose
In today’s interconnected world, social capital has emerged as a crucial business competence, drawing significant attention in recent literature. Using social network analysis, this study aims to investigate the impact of network centrality, established by a firm through its board members (i.e. boardroom networks), on corporate cash holdings.

Design/methodology/approach
This study uses extensive panel data comprising 36,963 firm-year observations of firms listed on the Australian Securities Exchange, spanning a 22-year period (2001–2022). The study uses firm fixed-effect regression along with several alternative specifications and an instrumental variable approach to ensure the robustness of the results. Boardroom network centrality is quantified by five measures that capture different perspectives on networks as viable conduits for resource exchange and information flow: degree, two-step reach, closeness, eigenvector and betweenness.

Findings
The authors find evidence for the benefits of board networks. Firms with well-connected boards (central firms) are more likely to have smaller cash holdings. The findings also reveal distinct effects stemming from local and global properties of centrality, with local network measures playing a more pronounced role in shaping cash-holding decisions. Overall, the evidence reflects the ability of connected directors to enhance governance by limiting managerial discretion over cash reserves, thus reducing agency conflicts associated with cash holdings.

Research limitations/implications
This study offers important insights for regulators, investors and practitioners, highlighting the potential for connected directors to effectively curtail managerial autonomy in deploying corporate cash holdings.

Originality/value
This study contributes to the ongoing discussion about the advantages and drawbacks of board networks, which constitute a vibrant and burgeoning area of research in the finance literature. It also complements scanty network-based studies on firm cash holdings. Importantly, this study extends prior work by providing robust evidence and a comprehensive analysis of the nuanced roles that board networks play in affecting the level of cash reserves.
The unintended consequences of temporal leadership: a multilevel investigation of the effects of temporal leadership on employee silence
Authors: Zhu Yu , Mei Wenjuan , Nong Meilan , Wang Yanfei 
Published: May 2024

Purpose
Existing research has generally viewed that temporal leadership has positive impacts on employees but ignores its potential drawbacks. This study aims to develop a model to explore its possible negative impacts on employees, drawing upon social information processing theory.

Design/methodology/approach
This study conducts a multi-wave and multisource survey to test the model, and the authors test the hypotheses with multi-level analysis using Mplus 7.4 and R package for Monte Carlo.

Findings
Results suggest that temporal leadership induces employee work alienation, thus leading to employee silence. Furthermore, shared temporal cognitions moderate both the relationship between temporal leadership and work alienation and the indirect effect of temporal leadership on employee silence via work alienation.

Originality/value
Taken together, this study reveals the potential dark side of temporal leadership and provides a more comprehensive and dialectical research perspective for temporal leadership literature.
The impact of entrepreneurial marketing on new venture brand image and performance: a capability perspective
Authors: Wijekoon Sayuri , O'Cass Aron , Vesal Mahdi 
Published: May 2024

Purpose
This study aims to examine the underlying mechanisms through which entrepreneurial marketing (EM) promotes the development of a favorable brand image and enhances sales growth and market share in new ventures (NVs).

Design/methodology/approach
The authors tested the theoretical model using a multi-informant design in which survey data were collected from NV entrepreneurs and marketing managers. Hypotheses were tested using linear regression and PROCESS analysis.

Findings
The authors demonstrate the significance of EM as comprising two NV capabilities – first, the level of complementarity between entrepreneurial orientation (EO) and market orientation (MO) as a dynamic capability, and second, brand management capabilities (BMCs) as an operational capability – in shaping a favorable NV brand image and promoting market performance.

Research limitations/implications
The authors offer a novel perspective by demonstrating that EO and MO yield complementarities in driving NVs’ BMCs, which, in turn, drive brand image development and market performance for NVs. In doing so, the authors demonstrate novel theoretical implications for the relevance of EM to NV branding, which, to date, has received scant attention in the literature.

Practical implications
The authors identify a potential avenue for entrepreneurs and NV managers to mitigate the potential failure rates by simultaneously pursuing a higher level of EO and MO and investing in brand-building activities. Such efforts can help enhance brand image, drive sales growth and foster long-term success.

Originality/value
To the best of the authors’ knowledge, this study is the first to include brand capabilities as an element of EM, examine EM in NV brand image development and identify the role of EM capabilities relevant to NV brand building and market performance simultaneously.
Bridging theoretical abstraction to professional practice: an assessment of LIS students’ experience of their internship program
Authors: Alam Shanjida , Yesmin Shamima 
Published: May 2024

Purpose
Internships are widely used as one of the best learning tools for professional practice. The purpose of this research paper is to comprehend to what extent the LIS interns become competent with practical tasks through this program, current facilities offered by the internship-offering institutions and their plan in this regard.

Design/methodology/approach
This study used a mixed-method approach. To examine LIS students’ practical experience, this study conducted a survey. Participants were 110 students having internship experience from the LIS bachelor’s degree offering universities of Bangladesh. For qualitative data, representatives of internship-offering institutions were interviewed.

Findings
Results indicate that there is a certain lack of coordination between theoretical knowledge with practical demonstrations. Some essential ICT-based tasks missed out from this program like library automation software (e.g. KOHA); online-based cataloging such as Machine Readable Cataloguing, Resource Description and Access; digital library software (Greenstone); Institutional Repository software (Dspace, EPrint, etc.); virtual library services; radio frequency identification, etc. which should be taken into consideration in internship modules. Including faculty members and practitioners is suggested for a model internship framework ensuring ever-advanced LIS education. There is no significant difference between interns’ gender with their satisfaction level.

Research limitations/implications
The major limitation of this study is the absence of coverage of faculty perceptions regarding Internships. As in the higher education institution, the three stakeholder groups’ subsets, namely, faculty members, practitioners and students are parallelly important to take any initiative.

Practical implications
The input from interns will assist the industries in redesigning their modules in light of interns’ feedback to best prepare interns for the competitive job market.

Originality/value
Internship in LIS education is not a new research area; however, research attempts to show students’ experience along with organizations’ preparedness in offering internships is new in nature.
Improving electricity demand forecasting accuracy: a novel grey-genetic programming approach using GMC(1,N) and residual sign estimation
Authors: Sapnken Flavian Emmanuel , Diboma Benjamin Salomon , Khalili Tazehkandgheshlagh Ali , Hamaidi Mohammed , Noumo Prosper Gopdjim , Wang Yong , Tamba Jean Gaston 
Published: May 2024

PurposeThis paper addresses the challenges associated with forecasting electricity consumption using limited data without making prior assumptions on normality. The study aims to enhance the predictive performance of grey models by proposing a novel grey multivariate convolution model incorporating residual modification and residual genetic programming sign estimation.Design/methodology/approachThe research begins by constructing a novel grey multivariate convolution model and demonstrates the utilization of genetic programming to enhance prediction accuracy by exploiting the signs of forecast residuals. Various statistical criteria are employed to assess the predictive performance of the proposed model. The validation process involves applying the model to real datasets spanning from 2001 to 2019 for forecasting annual electricity consumption in Cameroon.FindingsThe novel hybrid model outperforms both grey and non-grey models in forecasting annual electricity consumption. The model's performance is evaluated using MAE, MSD, RMSE, and R2, yielding values of 0.014, 101.01, 10.05, and 99% respectively. Results from validation cases and real-world scenarios demonstrate the feasibility and effectiveness of the proposed model. The combination of genetic programming and grey convolution model offers a significant improvement over competing models. Notably, the dynamic adaptability of genetic programming enhances the model's accuracy by mimicking expert systems' knowledge and decision-making, allowing for the identification of subtle changes in electricity demand patterns.Originality/valueThis paper introduces a novel grey multivariate convolution model that incorporates residual modification and genetic programming sign estimation. The application of genetic programming to enhance prediction accuracy by leveraging forecast residuals represents a unique approach. The study showcases the superiority of the proposed model over existing grey and non-grey models, emphasizing its adaptability and expert-like ability to learn and refine forecasting rules dynamically. The potential extension of the model to other forecasting fields is also highlighted, indicating its versatility and applicability beyond electricity consumption prediction in Cameroon.
Impact of certification information on consumer behaviour in hybrid retail platforms: empirical evidence from JD.com
Authors: Zhou Yongsheng , Han Li , Tian Xin , Wang Yingjun 
Published: May 2024

PurposeThis study aims to examine the impact of logistics and merchant certification information on consumer behaviour in hybrid retail platforms. Furthermore, it explores the moderating role of online shopping experience on the certification effect.Design/methodology/approachThe authors utilize transaction-level data from over 2.5 million consumers involving 30,000 stock keeping units (SKUs) on JD.com in March 2018. They analyse the impact of different types of certification information on consumer behaviour using ordinary linear regression and linear probability models.FindingsThe findings reveal that, compared with information without certification, (1) single logistics certification information can enhance consumers' search depth and purchase intention; (2) dual logistics and merchant certification information also has a positive impact on consumer behaviour; and (3) single certification information is more effective for inexperienced consumers, while dual certification is more effective for experienced consumers.Originality/valueTheoretically, this study contributes to the literature on certification information in hybrid retail platforms and broadens information communication methods for online shopping. Our discovery is meaningful for managers in locating customers and allocating resources. In addition, we encourage online retailers to utilize certification information to engage consumer.
Banking competition in Indonesia: does Fintech lending matters?
Authors: Dilla Salsa , Shahrin Aidil Rizal , Zainir Fauzi 
Published: May 2024

Purpose
This paper aims to examine how the rise of financial technology (Fintech) lending affects bank competition. Moreover, this study also identifies the structure of Indonesian commercial banking sector and the different behaviour of competition among bank groups (based on their size, type and ownership) and the joint impact of COVID-19 due to the rise of Fintech lending.

Design/methodology/approach
Using an unbalanced panel data set of 118 commercial banks in Indonesia over the period 2018–2022, both static panel and 2SLS/IV data analysis were used and found that random effect model is the best model.

Findings
The results show that the Indonesian commercial banking sector can be considered as monopolistic competition. Moreover, using the Lerner index reveals that the entry of the Fintech lenders increases bank competition. Furthermore, there were different responses to the impact of Fintech lending on bank competition among state-owned banks, private banks, regional development banks and foreign banks. Greater efficiency and stability lead to greater market power. In the meantime, higher level of asset growth, capitalisation and cost-to-income ratio increase the competition. Lastly, higher bank credit growth and lower inflation boost overall bank competitiveness.

Practical implications
This study highlights some policy recommendations for commercial banks to be aware of the coming of Fintech lenders because they have started to increase the market competition. The government should create a more collaborative ecosystem between banks and Fintech lending to anticipate unhealthy competition.

Originality/value
This study will contribute to the literature by expanding the determinants of bank competition by considering the rise of Fintech lending in the market.
Green as the new status symbol: Examining green signaling effects among Gen Z and Millennial consumers
Authors: (Yeeun) Huh Jennifer , Kim Naeun Lauren 
Published: May 2024

PurposeGreen signaling refers to the notion that environmentally friendly purchases signal consumers' prosociality and willingness to pay more, thus enhancing their social status. This study investigated the green signaling effect among Gen Z and Millennial consumers on social media by adopting costly signaling theory.Design/methodology/approachA series of experimental studies were conducted to test the hypotheses. Thus, a 2 (organic vs. nonorganic) × 2 (luxury vs. non-luxury) between-subjects design was used in Study 1 (150 participants) and a 2 (organic vs. nonorganic) × 2 (high vs. low brand authenticity) between-subjects design was employed in Study 2 (148 participants).FindingsThe results of Studies 1 and 2 confirmed the mediating role of perceived status in the relationship between apparel greenness and purchase intention. However, brand label and authenticity did not have a moderating influence. The overall findings confirmed the green signaling effect of organic apparel in the social media marketing context.Originality/valueThis study contributes to the existing literature by suggesting a cultural capital perspective for promoting green products among Gen Z and Millennial consumers. It also encourages marketers to implement green messaging on social media, highlighting the amount of resources and efforts invested in sustainable production.Research limitations/implicationsThis study adopted existing brands to test the hypotheses, using images of female influencers.
Regina Jonas: a life of aspiration and inspiration
Authors: Wooten Zachary , Pierlott Matthew , Gittleson Elizabeth 
Published: May 2024

PurposeLeadership educators have the responsibility to help students hear the stories of those who may otherwise be forgotten. There is great value to unearthing the stories of those who have been cast aside due to neglect or malice, both historically and in contemporary society. Given the interdisciplinary nature of leadership education, we benefit from a historical lens which helps us to understand who we are and where we come from. One transformative leader whose story impacts us immensely and whose story we believe would benefit leadership educators to learn about is the story of Rabbi Regina Jonas, the first woman to be ordained as a Rabbi.Design/methodology/approachThe article offers a rich narrative account of experiences, people and lessons learned when considering an impactful leader.FindingsThe often untold story of the first known woman rabbi shifts the male dominated narrative of leadership, particularly leadership in religious communities.Originality/valueThough we have never met Regina Jonas, her story has shaped our study and practice of leadership and her triumphs live on in the spirits of women who lead with resilience, tenacity and fortitude today.