bluuebunny/crossref_metadata_2025_split huggingface dataset:
Molecular basis for the interactions of eIF2β with eIF5, eIF2B, and 5MP1 and their regulation by CK2
Authors: Wagner Paul A. , Song Meimei , Ficner Ralf , Kuhle Bernhard , Marintchev Assen 
Published: April 2024

AbstractThe heterotrimeric GTPase eukaryotic translation initiation factor 2 (eIF2) delivers the initiator Met-tRNAito the ribosomal translation preinitiation complex (PIC). eIF2β has three lysine-rich repeats (K-boxes), important for binding to the GTPase-activating protein eIF5, the guanine nucleotide exchange factor eIF2B, and the regulator eIF5-mimic protein (5MP). Here, we combine X-ray crystallography with NMR to understand the molecular basis and dynamics of these interactions. The crystal structure of yeast eIF5-CTD in complex with eIF2β K-box 3 reveals an extended binding site on eIF2β, far beyond the K-box. We show that eIF2β contains three distinct binding sites, centered on each of the K-boxes, and human eIF5, eIF2Bε, and 5MP1 can bind to all three sites, while reducing each other’s affinities. Our results reveal how eIF2B speeds up the dissociation of eIF5 from eIF2-GDP to promote nucleotide exchange; and how 5MP1 can destabilize eIF5 binding to eIF2 and the PIC, to promote stringent start codon selection. All these affinities are increased by CK2 phosphomimetic mutations, highlighting the role of CK2 in both remodeling and stabilizing the translation apparatus.
Structural basis for bispecific antibody design: arrangement of domain linkage produces activity enhancement
Authors: Sato Kyohei , Uehara Shiro , Tsugita Atsushi , Ishiyama Shieru , Maejima Atsushi , Nakahara Ishin , Nazuka Misae , Matsui Takashi , Gatsogiannis Christos , Yokoyama Takeshi , Kumagai Izumi , Makabe Koki , Asano Ryutaro , Tanaka Yoshikazu 
Published: April 2024

AbstractA bispecific antibody (BsAb) is a protein genetically engineered from two different antibodies, allowing simultaneous binding to two kinds of antigen to bring them into close proximity. BsAbs have been developed as anti-cancer drugs that accumulate lymphocytes onto cancer cells by bridging antigens present on each. Ex3 is a bispecific diabody composed of the two fused variable regions (Fvs) of an anti-epidermal growth factor receptor (EGFR) antibody and an anti-CD3 antibody with potent cancer cytotoxic activity. In Ex3, the LH-type, in which the variable regions of the light chain (VLs) are located at the N-terminus of those of the heavy chain (VHs), exerted 1000-fold greater anticancer activity than the HL-type, in which the VHs are located at the N-terminus of the VLs. This effect (termed ‘activity enhancement’), in which the activity is greatly enhanced by domain rearrangement, has been reported not only for Ex3 but also for several other BsAbs. However, the molecular details of this activity enhancement have yet to be elucidated. In this study, we determined the cryo-EM structures of Ex3 LH- and HL-types in complex with CD3 and EGFR. Structural comparison of the LH- and HL-types showed that rearrangement of the domain linkage produces drastic structural differences in the overall shape of these complexes, and dynamics attributed to the flexibility between the two Fvs. These findings provide valuable insights into the molecular mechanism for the activity enhancement of BsAbs. This study will be a stepping stone towards establishing a design foundation for BsAb development.
Metacognition and epistemic cognition in physics are related to physics identity through the mediation of physics self-efficacy
Authors: Ulu Yaren , Yerdelen-Damar Sevda 
Published: April 2024

This study aimed (i) to investigate how epistemic cognition in physics and metacognition, together with three dimensions of physics identity framework—recognition, physics self-efficacy, and interest—predicted the overall physics identity of Turkish high school students and also (ii) to investigate gender differences in study constructs. A sample of 1197 high school students participated in the study. The collected data were analyzed using structural equation modeling. The analysis results indicated that the model fitted the data well, further motivating intervention studies to test the causal relations proposed in the model. The results showed that recognition and interest directly predicted physics identity and mediated the relation of physics self-efficacy to it. Metacognition and epistemic cognition predicted physics identity through physics self-efficacy. The study also observed significant direct and indirect relations among metacognition, epistemic cognition, self-efficacy, recognition, and interest. Furthermore, gender differences were found in the current study. While no gender difference was observed in metacognition and epistemic cognition in physics, male students scored higher than female students in physics identity, self-efficacy, recognition, and interest. However, the mediation analysis further indicated that gender differences in physics self-efficacy might explain gender differences in physics identity, recognition, and interest. The results of this study could motivate future interventions testing the effect of metacognitive and epistemic activities on both physics self-efficacy and identity, and also, the interventions testing whether practices that reduce the gender gap in physics self-efficacy will help eliminate the gender gap in physics identity, recognition, and interest.

Published by the American Physical Society
2024
Enhancing employees’ creative performance by giving developmental feedback
Authors: Le Cong Thuan , Phan Thi Kim Lan 
Published: April 2024

PurposeThe principal objective of this current research is to explore and test an underlying mechanism to solve the inconsistent relationship between supervisors’ developmental feedback and employee creativity. This study also tests the moderating role of absorptive capacity in fully understanding the relationship between two constructs.Design/methodology/approachA time-lagged survey was utilized to collect data from 317 employees working at information technology (IT) organizations in Vietnam. This research conducted a hierarchical regression analysis to examine the hypotheses.FindingsThis research found that employees’ operational skills fully mediated the link between supervisors’ developmental feedback and employees’ creative performance. Moreover, absorptive capacity positively moderated the relationship between supervisors’ developmental feedback and employees’ operational skills as well as the relationship between employees’ operational skills and employee creativity.Originality/valueThis research is one of the first papers to discuss the mediating role of employees’ operational skills in associating supervisors’ developmental feedback with employee creativity in response to the calls of previous studies. To fully comprehend the indirect impact of supervisors' developmental feedback on workers' creative performance, this research also examines the moderating influence of absorptive capacity at the individual level.
A study on the fractional Black–Scholes option pricing model of the financial market via the Yang-Abdel-Aty-Cattani operator
Authors: Ghosh Surath 
Published: April 2024

PurposeFinancial mathematics is one of the most rapidly evolving fields in today’s banking and cooperative industries. In the current study, a new fractional differentiation operator with a nonsingular kernel based on the Robotnov fractional exponential function (RFEF) is considered for the Black–Scholes model, which is the most important model in finance. For simulations, homotopy perturbation and the Laplace transform are used and the obtained solutions are expressed in terms of the generalized Mittag-Leffler function (MLF).Design/methodology/approachThe homotopy perturbation method (HPM) with the help of the Laplace transform is presented here to check the behaviours of the solutions of the Black–Scholes model. HPM is well known for its accuracy and simplicity.FindingsIn this attempt, the exact solutions to a famous financial market problem, namely, the BS option pricing model, are obtained using homotopy perturbation and the LT method, where the fractional derivative is taken in a new YAC sense. We obtained solutions for each financial market problem in terms of the generalized Mittag-Leffler function.Originality/valueThe Black–Scholes model is presented using a new kind of operator, the Yang-Abdel-Aty-Cattani (YAC) operator. That is a new concept. The revised model is solved using a well-known semi-analytic technique, the homotopy perturbation method (HPM), with the help of the Laplace transform. Also, the obtained solutions are compared with the exact solutions to prove the effectiveness of the proposed work. The different characteristics of the solutions are investigated for different values of fractional-order derivatives.
Coupled pore pressure analysis of cone penetration test in two-layered clay
Authors: Li Zhuofeng , Mo Shide , Yang Kaiwen , Chen Yunmin 
Published: April 2024

PurposeThe paper aims to clarify the distribution of excess pore pressure during cone penetration in two-layered clay and its influence on penetrometer resistance.Design/methodology/approachAn arbitrary Lagrangian–Eulerian scheme is adopted to preserve the quality of mesh throughout the numerical simulation. Simplified methods of layered penetration and coupled pore pressure analysis of cone penetration have been proposed and verified by previous studies. The investigation is then extended by the present work to study the cone penetration test in a two-layered clay profile assumed to be homogeneous with the modified Cam clay model.FindingsThe reduction of the range of pore pressure with decreasing PF will cause a decrease of the sensing distance. The PF of the underlying soil is one of the factors that determine the development distance. The interface can be obtained by taking the position of the maximum curvature of the penetrometer resistance curve in the case of stiff clay overlying soft clay. In the case of soft clay overlying stiff clay, the interface locates at the maximum curvature of the penetrometer resistance curve above about 1.6D.Research limitations/implicationsThe cone penetration analyses in this paper are conducted assuming smooth soil-cone contact.Originality/valueA simplified method based on ALE in Abaqus/Explicit is proposed for layered penetration, which solves the problem of mesh distortion at the interface between two materials. The stiffness equivalent method is also proposed to couple pore pressure during cone penetration, which achieves efficient coupling of pore water pressure in large deformations.
Nonlinear dynamics analysis of electromechanical planetary gear systems with temperature effects considered
Authors: Wang Jungang , Bi Xincheng , Mo Ruina 
Published: April 2024

PurposeThe electromechanical planetary transmission system has the advantages of high transmission power and fast running speed, which is one of the important development directions in the future. However, during the operation of the electromechanical planetary transmission system, friction and other factors will lead to an increase in gear temperature and thermal deformation, which will affect the transmission performance of the system, and it is of great significance to study the influence of the temperature effect on the nonlinear dynamics of the electromechanical planetary system.Design/methodology/approachThe effects of temperature change, motor speed, time-varying meshing stiffness, meshing damping ratio and error amplitude on the nonlinear dynamic characteristics of electromechanical planetary systems are studied by using bifurcation diagrams, time-domain diagrams, phase diagrams, Poincaré cross-sectional diagrams, spectra, etc.FindingsThe results show that when the temperature rise is less than 70 °C, the system will exhibit chaotic motion. When the motor speed is greater than 900r/min, the system enters a chaotic state. The changes in time-varying meshing stiffness, meshing damping ratio, and error amplitude will also make the system exhibit abundant bifurcation characteristics.Originality/valueBased on the principle of thermal deformation, taking into account the temperature effect and nonlinear parameters, including time-varying meshing stiffness and tooth side clearance as well as comprehensive errors, a dynamic model of the electromechanical planetary gear system was established.
International application of global forest product model and the reference to China
Authors: Li Qiuqin , Jiang Xuemei 
Published: April 2024

PurposeThis article summarizes the international scientific research output of global forest product models, infers future research trends and provides reference for quantitative analysis and mathematical modeling of Chinese forest product problems, with the aim of contributing to promoting domestic production of Chinese forest products and strengthening international trade competitiveness of forest products.Design/methodology/approachIn 1999, Joseph Buongiorno, a scholar at the University of Wisconsin in the United States of America, proposed the global forest products model (GFPM), which was first applied to research in the global forestry sector. GFPM is a recursive dynamic model based on five assumptions: macroeconomics, local equilibrium, dynamic equilibrium, forest product conversion flow and trade inertia. Using a certain year from 1992 to present as the base period, it simulates and predicts changes in prices, production and import and export trade indicators of 14 forest products in 180 countries (regions) through computer programs. Its advantages lie in covering a wide range of countries and a wide variety of forest products. The data mainly include forest resource data, forest product trade data, and other economic data required by the model, sourced from the Food and Agriculture Organization (FAO) of the United Nations and the World Bank, respectively.FindingsCompared to international quantitative and modeling research in the field of forest product production and trade, China's related research is not comprehensive and in-depth, and there is not much quantitative and mathematical modeling research, resulting in a significant gap. This article summarizes the international scientific research output of global forest product models, infers future research trends, and provides reference for quantitative analysis and mathematical modeling of Chinese forest product problems, with the aim of contributing to promoting domestic production of Chinese forest products and strengthening international trade competitiveness of forest products.Originality/valueOn the basis of summarizing and analyzing the international scientific research output of GFPM, sorting out the current research status and progress at home and abroad, this article discusses potential research expansion directions in 10 aspects, including the types, yield and quality of domestic forest product production, international trade of forest products, and external impacts on the forestry system, in order to provide new ideas for global forest product model research in China.
The Endeavour scholarships program in the era of the Asian century: promise unfulfilled
Authors: Barker Joanne Susan 
Published: April 2024

PurposeThe Australian Government has long used its international scholarship programs as an instrument of soft power in international diplomacy. The paper examines an international scholarship program and its role in Australia’s soft power efforts during a period in recent history.Design/methodology/approachThe Australia in the Asian Century White Paper of 2012 is used as a lens to reveal how the Australian Government viewed the role of international scholarship programs in international diplomacy at a specific point in the recent past, and compares it with research revealing what was contemporaneously happening with one key government-funded scholarship program.FindingsThis paper is based on a comprehensive case study of the Australian Government’s Endeavour Scholarships and Fellowships program (2004–2019). Endeavour was an ambitious and expensive merit-based program with 6,600 recipients in numerous and diffuse sub-categories. The program was complex and cumbersome and lacked clear priorities, particularly in its lack of geographic focus. It missed opportunities to connect with the political zeitgeist, largely due to opaque priorities and inadequate evaluation regimes which focused entirely on outcomes for individual recipients rather than on relationships for Australia.Originality/valueThis research draws on the first academic study of the Endeavour program. Other scholarship programs (for example Australia Awards and the New Colombo Plan) have attracted considerable scholarly interest. The Endeavour research provides an additional counterpoint for studies of Australian scholarship programs and their contribution to international diplomacy. It is timely to consider this in 2024 when Australia is putting a new focus on its investment in international scholarships.
Operational efficiency in the presence of undesirable byproducts: an analysis of Indian banking sector under traditional and market-based banking framework
Authors: Sanati Gargi , Bhandari Anup Kumar 
Published: April 2024

Purpose
In the backdrop of an increase in market-based banking activities, this paper aims to study operational efficiency of Indian banking sector during 2009–2010 through 2017–2018 considering Capital Gain and Gain from Forex Market (as desirable outputs) and Slippage (as undesirable byproducts) simultaneously, along with Advances – a desirable output considered in the traditional banking performance assessment literature. This enables to have an assessment of performance (as captured by the measured efficiency scores) of Indian Banks following an alternative viewpoint about the banking activities. The authors also explain such efficiency scores in terms of bank-specific factors, banking industry competition scenario and interest rate channel.

Design/methodology/approach
Using data envelopment analysis (DEA) method, the authors estimate six alternatives but interlinked operational efficiency scores (TES) of the Indian domestic commercial banks. In the second stage, they explain such TES in terms of bank-specific factors, banking industry competition scenario and interest rate channel.

Findings
The authors observe that the private sector banks as a group outperform those under public ownership. Moreover, although the private sector banks could maintain somewhat consistency in their operational efficiency performance over the sample period, public sector banks clearly show a declining tendency. The second stage econometric estimation results show that the priority sector lending has a negative effect on efficiency. Interestingly, the authors get varying results for the relationship between maturity and efficiency score depending on banks’ strategies on stressed assets management. Furthermore, the analyses result that banks are not so efficient in managing relatively larger-volume loans. It is also observed that banks’ efficiency positively depends on the Credit-to-Deposit (CD) ratio. It is found that the overall operational efficiency of the banks to manage their credit risk portfolio improves with a reduction in the lending rate (LR). However, the interaction of lending activities and capital market shows that with the increase in LR, corporate borrowers may switch to capital market to explore for desired funds, which may induce the banking sector to investment in capital markets and create a positive market sentiment.

Originality/value
Literature, although scanty, is there dealing stressed assets of a bank as some undesirable byproducts of its operational and business activities. However, such literature mostly done within the traditional framework of banking business activities and modern market-based business activities are almost absent in the literature. The authors have done it in the present study.
Analysis of the benefits of artificial intelligence and human personality study on online fraud detection
Authors: Bansal Kapil , Paliwal Aseem Chandra , Singh Arun Kumar 
Published: April 2024

Purpose
Technology advancement has changed how banks operate. Modernizing technology has, on the one hand, made it simpler for banks to do their daily business, but it has also increased cyberattacks. The purpose of the study is to to determine the factors that have the most effects on online fraud detection and to evaluate the advantages of AI and human psychology research in preventing online transaction fraud. Artificial intelligence has been used to create new techniques for both detecting and preventing cybercrimes. Fraud has also been facilitated in some organizations via employee participation.

Design/methodology/approach
The main objective of the research approach is to guide the researcher at every stage to realize the main objectives of the study. This quantitative study used a survey-based methodology. Because it allows for both unbiased analysis of the relationship between components and prediction, a quantitative approach was adopted. The study of the body of literature, the design of research questions and the development of instruments and procedures for data collection, analysis and modeling are all part of the research process. The study evaluated the data using Matlab and a structured model analysis method. For reliability analysis and descriptive statistics, IBM SPSS Statistics was used. Reliability and validity were assessed using the measurement model, and the postulated relationship was investigated using the structural model.

Findings
There is a risk in scaling at a fast pace, 3D secure is used payer authentication has a maximum mean of 3.830 with SD of 0.7587 and 0.7638, and (CE2).

Originality/value
This study focused on investigating the benefits of artificial intelligence and human personality study in online transaction fraud and to determine the factors that affect something most strongly on online fraud detection. Artificial intelligence and human personality in the Indian banking industry have been emphasized by the current research. The study revealed the benefits of artificial intelligence and human personality like awareness, subjective norms, faster and more efficient detection and cost-effectiveness significantly impact (accept) online fraud detection in the Indian banking industry. Also, security measures and better prediction do not significantly impact (reject) online fraud detection in the Indian banking industry.
Factors affecting COVID-19 vaccine uptake in Vietnam: an extended COM-B model
Authors: Nguyen Xuan Truong , Bui Hoang Ngoc , Pham Thi Lan Phuong 
Published: April 2024

Purpose
Many countries have a significant vaccination hesitancy rate regardless of vaccine prosperity. This study aims to identify factors restricting hesitancy and fostering vaccination intention and uptake against coronavirus in Vietnam.

Design/methodology/approach
The study has proposed an extended COM-B model based on the Theoretical Domains Framework to explore critical factors influencing vaccination intention and uptake in Vietnam. A database was collected from 1,015 suitable respondents who had received at least one dose of the COVID-19 vaccine, and ten hypotheses were tested by the partial least squares structural equation model.

Findings
The findings showed that six factors, including knowledge, experience, resource, social influence, belief and reinforcement, have either direct or indirect positive effects on COVID-19 vaccine uptake behavior. The output also indicated that personal experience positively affects vaccination intention and uptake.

Originality/value
This study contributes to understanding COVID-19 vaccine uptake behavior by identifying several direct and indirect factors of the extended COM-B model that include “knowledge” and “reinforcement” in shaping behavior change. The study adds to the literature on COVID-19 vaccine uptake behavior and could help achieve higher vaccination rates, ultimately leading to better control of the pandemic.