bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cooling dynamics of a free ion in a Bose-Einstein condensate
Authors: Oghittu Lorenzo , Simonet Juliette , Wessels-Staarmann Philipp , Drescher Markus , Sengstock Klaus , Mathey Ludwig , Negretti Antonio 
Published: April 2024

We investigate the dynamics of an ion moving through a homogeneous Bose-Einstein condensate (BEC) after an initial momentum is imparted. For this, we derive a master equation in the weak-coupling limit and Lamb-Dicke approximation for the reduced density matrix of the ion. We study the time evolution of the ion's kinetic energy and observe that its expectation value, identified as the ion temperature Tion, is reduced by several orders of magnitude in a time on the order of microseconds for a condensate density in the experimentally relevant range between 1013cm−3 and 1014cm−3. We characterize this behavior by defining the duration at half maximum as the time required by Tion to reach half of its initial value, and study its dependence on the system parameters. Similarly, we find that the expectation value of the ion's momentum operator is reduced by nine orders of magnitude on the same timescale, making the ion's position converge to a final value. Based on these results, we conclude that the interaction with the bosonic bath allows for cooling and pinning of the ion by decreasing the expectation value of its kinetic energy and velocity, which constitutes a result of direct relevance for current atom-ion experiments.

Published by the American Physical Society
2024
Hedging price risk through commodity derivatives: a case of Sethi Jewellers
Authors: Soni Tarun Kumar 
Published: April 2024

Learning outcomes
After completion of the case study, the students will be able to understand the different risks associated with a business, focusing on price risk and the importance of price risk management in business; understand and evaluate the products available for hedging price risk through exchange-traded derivatives in the Indian scenario; and understand and evaluate the different strategies for price risk management through exchange-traded derivatives in the Indian scenario.

Case overview/synopsis
The case study pertains to a small business, M/s Sethi Jewellers. The enterprise is being run by Shri Charan Jeet Sethi and his son Tejinder Sethi. The business is located in Jain Bazar, Jammu, UT, in Northern India. The business was started in 1972 by Charan Jeet’s father. They deal in a wide range of jewelry products and are well-established jewelers known for selling quality ornaments. Tejinder (MBA in marketing) was instrumental in revamping his business recently. Under his leadership, the business has experienced rapid transformation. The business has grown from a one-room shop fully managed by Tejinder’s grandfather to a multistory showroom with several artisans, sales staff and security persons. Through his e-store, Tejinder has a bulk order from a client where the client requires him to accept the order with a small token at the current price and deliver the final product three months from now. Tejinder is in a dilemma about accepting or rejecting the large order. Second, if he accepts, should he buy the entire gold now or wait to buy it later at a lower price? He is also considering hedging the price risk through exchange-traded derivatives. However, he is not entirely sure, as he has a few apprehensions regarding the same, and he is also not fully aware of the process and the instruments he has to use for hedging the price risk on the exchange.

Complexity academic level
The case study is aimed to cater to undergraduate, postgraduate and MBA students in the field of finance. This case study can be used for students interested in commodity derivatives, risk management and market microstructure.

Supplementary materials
Teaching notes are available for educators only.

Subject code
CSS 1: Accounting and finance.
Curse or blessing? Students’ experience from ChatGPT with an application of Colaizzi’s phenomenological descriptive method of enquiry and content analysis
Authors: Awal Md. Rabiul , Asaduzzaman  
Published: April 2024

PurposeThis qualitative work aims to explore the university students’ attitude toward advantages, drawbacks and prospects of ChatGPT.Design/methodology/approachThis paper applies well accepted Colaizzi’s phenomenological descriptive method of enquiry and content analysis method to reveal the ChatGPT user experience of students in the higher education level.FindingsThe study’s findings indicate that ChatGPT enhances the quality of learning and facilitates faster learning among university students. However, despite numerous positive outcomes, it is noted that ChatGPT may diminish students' creativity by swiftly addressing their critical queries. Over time, students may experience a decline in patience and critical thinking skills as they excessively rely on ChatGPT, potentially leading to ethical misconduct.Originality/valueThis paper primarily explores the advantages and drawbacks of using ChatGPT in the university context of Bangladesh. The present study creates a platform for future research in this domain with comprehensive study design. The study results alert the policy makers to improve upcoming version of ChatGPT with convenient user experience and academicians as this paper unleash several positive as well as negative consequences of using this AI-enabled chatbot.
Effect of carbon nanotube fiber on shielding effectiveness of stainless-steel electromagnetic shielding fabric
Authors: Liu Zhe , Yang Yichen , Wang Xiuchen 
Published: April 2024

PurposeStainless-steel electromagnetic shielding (EMS) fabrics are widely applied as protective materials against electromagnetic interference (EMI). However, these fabrics primarily shield electromagnetic waves through reflection, which can lead to the formation of resonance effects that severely compromise their protective capabilities and potentially cause secondary electromagnetic pollution in the external environment.Design/methodology/approachIn this paper, carbon nanotube fibers are added via spacing method to replace some stainless-steel fibers to impart absorbing properties to stainless-steel EMS fabric. The shielding effectiveness (SE) of the EMS fabrics across various polarization directions is analyzed. Additionally, a spacing arrangement for the carbon nanotube fibers is designed. The EMS fabric with carbon nanotube fibers is manufactured using a semi-automatic sample loom, and its SE is tested using a small window method test box in both vertical and horizontal polarization directions.FindingsAccording to the experimental data and electromagnetic theory analysis, it is determined that when the spacing between the carbon nanotube fibers is less than a specific distance, the SE of the stainless-steel EMS fabric significantly improves. The fabric exhibits stable absorbing properties within the tested frequency range, effectively addressing the issue of secondary damage that arises from relying solely on reflective shielding. Conversely, as the spacing between the carbon nanotube fibers exceeds this distance, the SE diminishes. Notably, the SE in the vertical polarization direction is substantially higher than that in the horizontal polarization direction at the same frequency.Originality/valueThis study provides a new path for the development of high-performance EMS fabrics with good wave-absorption characteristics and SE.
Examining the effect of gamification mobile app on conference engagement: an integration of S-O-R framework and UGT
Authors: Jung Shinyong , Lee Seonjeong (Ally) , Leitch Stephen 
Published: April 2024

PurposeBy integrating stimulus-organism-response theory and uses and gratifications theory, this study explored the salient gamification factors that satisfy the gratifications of conference attendees in the context of an event gamification mobile app and their relationships with conference engagement, continuance intention and word-of-mouth.Design/methodology/approachThe questionnaire was developed in Qualtrics and administered on a gamification application called Goosechase during an annual hospitality conference. The proposed hypotheses were tested using the partial least square-structural equation modeling (PLS-SEM).FindingsThe gratifications of social presence, education and entertainment through a gamification mobile app influences attendees’ engagement during the conference while achievement gratification does not. Positive effects of conference engagement on their continuous intention and WOM have been also validated.Originality/valueBy adopting a unique integrated approach that utilizes UGT and S-O-R framework, while considering conference engagement as work-related engagement, this study offers a fresh perspective on gamification apps and discusses its theoretical and practical implications in depth.
An efficient approach for automatic crack detection using deep learning
Authors: Usharani Shola , Gayathri R. , Kovvuri Uday Surya Deveswar Reddy , Nivas Maddukuri , Md Abdul Quadir , Tee Kong Fah , Sivaraman Arun Kumar 
Published: April 2024

PurposeAutomation of detecting cracked surfaces on buildings or in any industrially manufactured products is emerging nowadays. Detection of the cracked surface is a challenging task for inspectors. Image-based automatic inspection of cracks can be very effective when compared to human eye inspection. With the advancement in deep learning techniques, by utilizing these methods the authors can create automation of work in a particular sector of various industries.Design/methodology/approachIn this study, an upgraded convolutional neural network-based crack detection method has been proposed. The dataset consists of 3,886 images which include cracked and non-cracked images. Further, these data have been split into training and validation data. To inspect the cracks more accurately, data augmentation was performed on the dataset, and regularization techniques have been utilized to reduce the overfitting problems. In this work, VGG19, Xception and Inception V3, along with Resnet50 V2 CNN architectures to train the data.FindingsA comparison between the trained models has been performed and from the obtained results, Xception performs better than other algorithms with 99.54% test accuracy. The results show detecting cracked regions and firm non-cracked regions is very efficient by the Xception algorithm.Originality/valueThe proposed method can be way better back to an automatic inspection of cracks in buildings with different design patterns such as decorated historical monuments.
Investigating resistance to IT projects: a conceptual model from a meta-synthesis approach
Authors: Krishnan Manoj , Krishnan Satish 
Published: April 2024

PurposeThe study aims to drive conceptual clarity around resistance to information technology projects, integrating multiple facets of the phenomenon from earlier studies.Design/methodology/approachThe study conducts a meta-synthesis of qualitative studies on resistance to technology projects; it analyzes those studies at a case-specific level, compares and contrasts emergent concepts against each other, and “translates” those to the rest of the studies. The study uses the seven-step meta-ethnography method by Noblit and Hare to reciprocally translate emergent concepts to construct the conceptual model.FindingsThrough meta-synthesis, the study derives a new conceptual model for resistance to information technology projects, exemplifying how the identified antecedents create user resistance and how the phenomenon progresses within organizations.Research limitations/implicationsThis study enriches the observations and conclusions of past individual studies while explicating various facets of the mechanisms that generate and progress technology resistance within organizations. It offers fresh insights into the equivocal nature of the phenomenon and the distinctive ways it progresses from individual to group level.Practical implicationsMany ambitious and costly digital transformation efforts do not succeed due to user resistance. Understanding the mechanisms that create user resistance can help organizations manage technology projects better, thereby reducing the technology assimilation gap and protecting returns on related investments.Originality/valueThere have been extensive studies on technology acceptance (enablers) within organizations, while those relating to technology inhibitors are somewhat limited. However, the symmetry of understanding between enablers and inhibitors is vital for organizations to assimilate promising technologies and transform their business models. This model uses a new lens of sensemaking theory to explain how the antecedents trigger perceived threats and resistance behavior; it highlights the nuances around the development of resistance within individuals and its progression to groups. The resultant model offers better generalizability in organizational contexts.
An assessment of professional competencies and skills required for library professionals of management institutions in Kerala (India)
Authors: Vijesh P.V. , Ganesan Perumal 
Published: April 2024

PurposeThis study aims to explore various skills of library professionals working in management institutions of Kerala State, India.Design/methodology/approachA survey method was used by distributing online questionnaire as a data collection tool. The questionnaires were distributed to the library professionals working in management institutions in Kerala State, India.FindingsThe study’s results revealed that the library professionals were competent with managerial, communication and interpersonal skills. Conversely, they were lacking skills in statements such as institutional repository, web 2.0 and social networks. Their familiarity level with reference management tools, research and academic ethics, electronic publishing and management of open-access resources, were also not satisfactory. They need knowledge of other ICT skills such as designing and maintaining in-house databases, video conferencing tools, advanced troubleshooting creating and managing metadata, handling RFID technology and knowledge in solving issues while organizing webinars. Based on the findings, the study has suggested some recommendations which will enable the government/institutions to take appropriate measures to improve their skills.Practical implicationsThis study will enable the policymakers to identify in which area the library professionals are weak and develop a strategy and framework for increasing the level of their skills.Originality/valueThis study provides the views of the library professionals working in management institutions in India and warrants the library professionals to enhance their skills, especially on research ethics and publications and ICT skills.
Manufacturing-induced stochastic constitutive behaviors of additive manufactured specimens: testing, data-driven modeling, and optimization
Authors: Chen Baixi , Mao Weining , Lin Yangsheng , Ma Wenqian , Hu Nan 
Published: April 2024

Purpose
Fused deposition modeling (FDM) is an extensively used additive manufacturing method with the capacity to build complex functional components. Due to the machinery and environmental factors during manufacturing, the FDM parts inevitably demonstrated uncertainty in properties and performance. This study aims to identify the stochastic constitutive behaviors of FDM-fabricated polylactic acid (PLA) tensile specimens induced by the manufacturing process.

Design/methodology/approach
By conducting the tensile test, the effects of the printing machine selection and three major manufacturing parameters (i.e., printing speed S, nozzle temperature T and layer thickness t) on the stochastic constitutive behaviors were investigated. The influence of the loading rate was also explained. In addition, the data-driven models were established to quantify and optimize the uncertain mechanical behaviors of FDM-based tensile specimens under various printing parameters.

Findings
As indicated by the results, the uncertain behaviors of the stiffness and strength of the PLA tensile specimens were dominated by the printing speed and nozzle temperature, respectively. The manufacturing-induced stochastic constitutive behaviors could be accurately captured by the developed data-driven model with the R2 over 0.98 on the testing dataset. The optimal parameters obtained from the data-driven framework were T = 231.3595 °C, S = 40.3179 mm/min and t = 0.2343 mm, which were in good agreement with the experiments.

Practical implications
The developed data-driven models can also be integrated into the design and characterization of parts fabricated by extrusion and other additive manufacturing technologies.

Originality/value
Stochastic behaviors of additively manufactured products were revealed by considering extensive manufacturing factors. The data-driven models were proposed to facilitate the description and optimization of the FDM products and control their quality.
Fish responses to manipulated microhabitat complexity in urbanised shorelines
Authors: Taira Daisuke , Mark Rachel Y. Y. , Hsiung Amanda R. , Jaafar Zeehan , Todd Peter A. 
Published: April 2024

Abstract

The diversity‐habitat complexity relationship has been utilised widely in conservation and biodiversity enhancement interventions, but few studies have attempted to tease apart the components of complexity that drive this relationship. The ecological engineering of seawalls is one area where this topic has advanced, albeit not often at scales relevant to fish.

We constructed habitat enhancement units (Simple, Complex and Freestyle ‘fish houses’) out of hollow concrete blocks and installed them at the base of tropical rip‐rap seawalls. Simple and Complex fish houses were cuboid, had the same surface area and volume and included 100 holes (microhabitats). The holes in Simple fish houses were all the same size, whereas 25 size variations were used in the Complex design (volume‐independent manipulation of a single complexity element). The Freestyle fish house was non‐cuboid and had more overall volume, microhabitat types and sizes.

We examined the volume‐independent (Simple vs. Complex fish houses) and volume‐dependent (Freestyle fish house) effects of microhabitat complexity on fish taxonomic and functional assemblage metrics at two spatial scales and across diel cycles. We also investigated diurnal and nocturnal fish‐microhabitat size relationships.

There was a modest, but not significant, volume‐independent effect of complexity on fish assemblages. The Freestyle design, however, supported significantly greater abundance, species richness, and distinct taxonomic and functional compositions. These results were dependent on spatial scales and diel cycles. Diel variation in fish activity patterns resulted in stronger size‐matching relationships between fish and microhabitats at night than during the day.

Synthesis and applications. Our study shows that, to enhance fish diversity, it is important to provide three‐dimensional habitat architecture that incorporates a wide range of microhabitat sizes and types. Our findings also highlight some key considerations when assessing the performance of intervention designs, including spatial‐scale dependent effects of structural complexity, diel variation in fish‐microhabitat relationships, and choice of intervention assessment metric (i.e. taxonomic vs. functional diversity).
In silico identification and expression analysis of glutathione S‐transferase in Tenebrio molitor
Authors: Jang Ho Am , Lee Seo Jin , Ku Sung Min , Kim Jae Hui , Kang Dong Woo , Choi So Yeon , Jung Sang Mok , Lee Jongdae , Lee Yong Seok , Han Yeon Soo , Jo Yong Hun 
Published: April 2024

AbstractSelective herbicides are used to control undesirable vegetation or weeds in fields without harming crops. Herbicide use for weed management can directly impact the densities of insect pests in agricultural communities as a result of insect mortality during and immediately after application. In insects, the glutathione S‐transferase (GST) enzyme is involved in both the detoxification process and the defense of cellular membranes against oxidative damage. In this study, two TmGSTs (TmGST‐iso1 and TmGST‐iso2) were identified and characterized to elucidate the GST family in Tenebrio molitor. Among the developmental stages of T. molitor, eggs had the highest expression levels of TmGST‐iso1. TmGST‐iso2 expression was highest in the pre‐pupal stage. TmGST‐iso1 expression was high in the guts of early and late larvae, whereas TmGST‐iso2 expression was not observed in early larvae. Adults, both male and female, had the highest levels of TmGST‐iso1 mRNA expression in the gut and reproductive organs, and the highest levels of TmGST‐iso2 expression in the reproductive organs. Quantitative polymerase chain reaction was used to investigate the impact of treatment with butachlor on the mRNA expression of TmGST‐iso1 and TmGST‐iso2 in larvae. TmGST‐iso1 expression increased in the butachlor‐treated group after 3 and 24 h, whereas TmGST‐iso2 expression peaked at 24 h after treatment. This study provides vital information about the detoxifying activities of T. molitor.
Gestational supplementation of Bifidobacterium, Lactobacillus, and Streptococcus thermophilus attenuates hepatic steatosis in offspring mice through promoting fatty acid β‐oxidation
Authors: Chen Hangjun , Wu Qiongmei , Chen Xingyi , Yu Xinxue , Zhao Hanqing , Huang Qiaoli , Huang Yurong , Wang Jinting , Huang Xueyi , Wei Jun , Wu Feng , Xiao Xiaomin , Wang Lijun 
Published: April 2024

AbstractCurrently, Bifidobacterium, Lactobacillus, and Streptococcus thermophilus (BLS) are widely recognized as the crucially beneficial bacteria in the gut. Many preclinical and clinical studies have shown their protective effects against non‐alcoholic fatty liver disease (NAFLD). However, whether gestational BLS supplementation could alleviate NAFLD in the offspring is still unknown. Kunming mice were given a high‐fat diet (HFD) for 4 weeks before mating. They received BLS supplementation by gavage during pregnancy. After weaning, offspring mice were fed with a regular diet up to 5 weeks old. Gestational BLS supplementation significantly increased the abundance of Actinobacteriota, Bifidobacterium, and Faecalibaculum in the gut of dams exposed to HFD. In offspring mice exposed to maternal HFD, maternal BLS intake significantly decreased the ratio of Firmicutes to Bacteroidetes as well as the relative abundance of Prevotella and Streptococcus, but increased the relative abundance of Parabacteroides. In offspring mice, maternal BLS supplementation significantly decreased the hepatic triglyceride content and mitigated hepatic steatosis. Furthermore, maternal BLS supplementation increased the glutathione content and reduced malondialdehyde content in the liver. In addition, mRNA and protein expression levels of key rate‐limiting enzymes in mitochondrial β‐oxidation (CPT1α, PPARα, and PGC1α) in the livers of offspring mice were significantly increased after gestational BLS supplementation. Thus, gestational BLS supplementation may ameliorate maternal HFD‐induced steatosis and oxidative stress in the livers of offspring mice by modulating fatty acid β‐oxidation.