bluuebunny/crossref_metadata_2025_split huggingface dataset:
Achieve Handle Level Random Access in Encrypted DNA Archival Storage System via Frequency Dictionary Mapping Coding
Authors: Cao Ben , Li Xue , Wang Bin , He Tiantian , Zheng Yanfen , Zhang Xiaokang , Zhang Qiang 
Published: August 2024

AbstractDNA as a storage medium has the characteristics of high storage density and durability, but the existing DNA storage system has a high latency, and lacks the consideration of data security. In order to improve the availability of DNA storage, this paper proposes that Frequency Dictionary Mapping Coding (FDMC) implements handle-level random access in DNA Archival storage, and a hybrid e-molecular encryption strategy and multi-level error correction algorithm are provided to ensure data security and integrity. The results of the simulation and wet experiments demonstrate that FDMC can achieve handle-level random access in lossless encrypted DNA storage systems, which balances security and convenience. In terms of read and write consistency, FDMC has significant advantages in storage density and robustness of data recovery. Even in the extreme case of DNA sequence loss of 10%, it can still recover 91.74% of the original data while ensuring storage density above 1.80 bits/nt. In summary, FDMC improves the application range of DNA as a storage medium and bridges the gap between DNA storage and traditional storage modes in the storage and reading of large-scale archives.
Gene expression and alternative splicing analysis in a large-scale Multiple Sclerosis study
Authors: Sak Müge , Chariker Julia H. , Park Juw Won , Rouchka Eric C. 
Published: August 2024

ABSTRACTBackgroundMultiple Sclerosis (MS) is an autoimmune neurodegenerative disease affecting approximately 3 million people globally. Despite rigorous research on MS, aspects of its development and progression remain unclear. Understanding molecular mechanisms underlying MS is crucial to providing insights into disease pathways, identifying potential biomarkers for early diagnosis, and revealing novel therapeutic targets for improved patient outcomes.MethodsWe utilized publicly available RNA-seq data (GSE138614) from post-mortem white matter tissues of five donors without any neurological disorder and ten MS patient donors. This data was interrogated for differential gene expression, alternative splicing and single nucleotide variants as well as for functional enrichments in the resulting datasets.ResultsA comparison of non-MS white matter (WM) to MS samples yielded differentially expressed genes involved in adaptive immune response, cell communication, and developmental processes. Genes with expression changes positively correlated with tissue inflammation were enriched in the immune system and receptor interaction pathways. Negatively correlated genes were enriched in neurogenesis, nervous system development, and metabolic pathways. Alternatively spliced transcripts between WM and MS lesions included genes that play roles in neurogenesis, myelination, and oligodendrocyte differentiation, such as brain enriched myelin associated protein (BCAS1), discs large MAGUK scaffold protein 1 (DLG1), KH domain containing RNA binding (QKI), and myelin basic protein (MBP). Our approach to comparing normal appearing WM (NAWM) and active lesion (AL) from one donor and NAWM and chronic active (CA) tissues from two donors, showed that different IgH and IgK gene subfamilies were differentially expressed. We also identified pathways involved in white matter injury repair and remyelination in these tissues. Differentially spliced genes between these lesions were involved in axon and dendrite structure stability. We also identified exon skipping events and spontaneous single nucleotide polymorphisms in membrane associated ring-CH-type finger 1 (MARCHF1), UDP glycosyltransferase 8 (UGT8), and other genes important in autoimmunity and neurodegeneration.ConclusionOverall, we identified unique genes, pathways, and novel splicing events affecting disease progression that can be further investigated as potential novel drug targets for MS treatment.
Retrieving the time-dependent blood perfusion coefficient in the thermal-wave model of bio-heat transfer
Authors: Alosaimi M. , Lesnic D. 
Published: August 2024

PurposeIn order to include the non-negligible lag relaxation time feature that is characteristic of heat transfer in biological bodies, the classical Fourier's law of heat conduction has to be generalized as the Maxwell–Cattaneo law resulting in the thermal-wave model of bio-heat transfer. The purpose of the paper is to retrieve the unknown time-dependent blood perfusion coefficient in such a thermal-wave model of bio-heat transfer from (non-intrusive) measurements of the temperature on an accessible sub-portion of the boundary that may be taken with an infrared scanner.Design/methodology/approachThe nonlinear and ill-posed problem is reformulated as a nonlinear minimization problem of a Tikhonov regularization functional subject to lower and upper simple bounds on the unknown coefficient. For the numerical discretization, an unconditionally stable direct solver based on the Crank–Nicolson finite-difference scheme is developed. The Tikhonov regularization functional is minimized iteratively by the built-in routine lsqnonlin from the MATLAB optimization toolbox. Numerical results for a benchmark test example are presented and thoroughly discussed, shedding light on the performance and effectiveness of the proposed methodology.FindingsThe inverse problem of obtaining the time-dependent blood perfusion coefficient and the temperature in the thermal-wave model of bio-heat transfer from extra boundary temperature measurement has been solved. In particular, the uniqueness of the solution to this inverse problem has been established. Furthermore, our proposed computational method demonstrated successful attainment of the perfusion coefficient and temperature, even when dealing with noisy data.Originality/valueThe originalities of the present paper are to account for such a more representative thermal-wave model of heat transfer in biological bodies and to investigate the possibility of determining its time-dependent blood perfusion coefficient from non-intrusive boundary temperature measurements.
Knowledge transfer within company-specific production systems: from an MNC subsidiary to local suppliers
Authors: Silva de Lima Danilo Felipe , Gohr Cláudia Fabiana , Costa Santos Luciano , Castro José Márcio de 
Published: August 2024

Purpose
This study aims to analyze the knowledge transfer process for implementing a company-specific production system (XPS) from a subsidiary of a multinational corporation (MNC) to its local suppliers.

Design/methodology/approach
A case study approach was adopted and applied in an automotive supply chain. Empirical data were collected from interviews, observations and internal documents.

Findings
The literature shows that the successful XPS implementation depends on the ability to transfer XPS knowledge; the motivation of the source unit to share XPS knowledge; the value and nature of knowledge embedded in XPS; the effectiveness of individual, social and organizational transfer mechanisms; the motivation and absorptive capacity of the target unit and, the organizational, social and relational contexts in which XPS is transferred. Based on the research findings, we develop 12 propositions and presented them in a framework.

Research limitations/implications
This paper expands and enriches the literature on the knowledge transfer process of XPS. The proposed framework establishes theoretical propositions and associations raised by qualitative analysis. However, these propositions are potentially testable on a larger scale for broader generalization.

Practical implications
Managers can recognize critical factors and relationships needed to improve the XPS implementation from an MNC subsidiary to its local suppliers.

Originality/value
The proposed framework provides a scheme to capture the essential critical factors affecting a successful XPS implementation between MNC subsidiaries and local suppliers. Moreover, we found relevant associations between pairs of critical factors that were not identified in the literature.
Enhancing the journey to six sigma excellence: identifying critical success factors
Authors: Bagherian Anthony , Gerschon Mark , Kumar Sunil 
Published: August 2024

PurposeNumerous attempts at installing Six Sigma (SS) have faced challenges and fallen short of the desired success. Thus, it becomes vital to identify the critical factors and characteristics that play a pivotal role in achieving successful adoption. Research has highlighted that a considerable number of corporate Six Sigma initiatives, around 60%, fail primarily due to the improper incorporation of essential elements and flawed assumptions.Design/methodology/approachTo validate the influence of CSFs on Six Sigma accomplishment, the study employed a research design combining exploratory and mixed-methods approaches. The analysis focused on 260 completed questionnaires, and statistical methods including SEM, EFA, and CFA were utilized for data analysis.FindingsThe study acknowledged four essential components of CSFs that are imperative for sustaining the success of Six Sigma (SS): (1) Competence of Belt System employees; (2) Project management skills; (3) Organizational economic capability; and (4) Leadership commitment and engagement. These factors were identified as significant contributors to the maintenance of Six Sigma’s success.Practical implicationsThe practical implications of this research imply that institutions, practitioners, and researchers can utilize the four identified factors to foster the sustainable deployment of SS initiatives. By incorporating these factors, organizations can enhance the effectiveness and longevity of their Six Sigma practices.Originality/valueThe investigation’s originality lies in its contribution to assessing critical success factors in Six Sigma deployment within the European automobile industry, utilizing a mixed-methods research design supplemented by descriptive statistics.
Linguistic insights into customer satisfaction: an exploratory analysis of online reviews for gaming destination resorts in Las Vegas
Authors: Lee Harold Sang Kwon , Wang Jue , Moreno-Brito Yahaira Lisbeth , Shen Yiwen , Kim Hak-Seon 
Published: August 2024

Purpose
This study aims to explore the quality of user-generated content regarding readability, polarity, word length and diversity, as well as its implications for guest satisfaction in Las Vegas luxury gaming resorts.

Design/methodology/approach
This study examined 12,940 textual customer reviews from six luxury hotels in luxury gaming destination resorts via Google Travel gathered from SCTM 3 (Smart Crawling and Text Mining). Moreover, the regression analysis identified the relationship between the variables in the textual customer reviews and the customer’s overall satisfaction.

Findings
A key finding of this study revealed that word length moderates the relationship between readability and overall customer satisfaction negatively, whereas it positively moderates the path from sentiment polarity and diversity to overall customer satisfaction.

Originality/value
This study contributes to the relationship between technical aspects of online reviews. The adopted methodology allows us to precisely identify the essential attributes that influence customer satisfaction through textual reviews. Further, the study explores the quality of user-generated content, addressing aspects such as readability, polarity, diversity and word length, providing a unique perspective on how these specific elements directly impact customer satisfaction in this context of hotels in luxury in Las Vegas.
Blockchain applications: promotion of green innovation
Authors: Fang Xing , Jiang Yuansheng 
Published: August 2024

PurposeThis paper aims to address the gaps in current research by exploring how blockchain technology influences corporate green innovation.Design/methodology/approachThis study investigates the potential of blockchain technology to stimulate the green innovation of companies using the difference-in-difference model with a panel data set of 1,803 Chinese listed companies from 2012 to 2019.FindingsThe application of blockchain significantly increases the number of green invention patents obtained by companies but has no significant impact on green utility model patents, that is, blockchain applications improve the quality rather than the quantity of green innovation. The role of blockchain in promoting green innovation is particularly pronounced in state-owned enterprises, non-heavily polluting industries and older companies. The use of blockchain technology helps reduce sales costs and boosts research and development investments, thereby encouraging green innovation. Additionally, a company’s internal control quality plays a moderating effect.Originality/valueFirstly, previous research on blockchain has primarily centered on its relationship with supply chain management. This article empirically tests the impact of blockchain applications on the green innovation of companies using the DID method. Secondly, current studies mainly explore the influencing factors on green invention patents. This article examines the impact of blockchain applications on both green invention patents and green utility model patents and identifies distinct influencing effects. Finally, this article introduces the internal control mechanism of enterprises into the DID model and explores the potential impact of the quality of internal control on the relationship between blockchain and green innovation.
A study of customer satisfaction in using banking services through Artificial Intelligence (AI) in India
Authors: Shaikh Asmat Ara , Kumar Arya , Mishra Apoorva , Elahi Yasir Arafat 
Published: August 2024

PurposeThis article examines customer satisfaction in using banking services through Artificial Intelligence (AI) in India. It addresses two questions: first, will customers perceive AI technology as a reliable and efficient alternative to traditional banking practices; second, will AI save customers’ time.Design/methodology/approachThe quantitative research method based on regression analysis models was adopted for hypothesis testing, with data collected from a survey of 189 banking customers from four banks, i.e., State Bank of India, Axis Bank, Punjab National Bank, and HDFC Bank in India.FindingsAI improves banking customers’ experiences by making banking more accessible and enjoyable. Satisfied customers are quick to use cutting-edge AI tools. However, human service is more satisfying than digital service. AI has great potential but works alongside humans rather than replacing them. Even though AI’s novel architecture is helpful, human bank tellers are still needed in enhancing customer satisfaction.Originality/valueAI’s integration in Indian banking, propelled by customer satisfaction, foresees a transformative landscape. This study uncovers AI’s role in saving time and improving customer satisfaction. While AI revolutionizes financial processes, its harmonious coexistence with human expertise emphasizes personalized and efficient services. This study provides insights for optimal AI utilization in shaping the future of banking.
Of flippers and wings: The locomotor environment as a driver of the evolution of forelimb morphological diversity in mammals
Authors: Rothier Priscila S. , Fabre Anne‐Claire , Benson Roger B. J. , Martinez Quentin , Fabre Pierre‐Henri , Hedrick Brandon P. , Herrel Anthony 
Published: August 2024

Abstract

The early diversification of tetrapods into terrestrial environments involved adaptations of their locomotor apparatus that allowed for weight support and propulsion on heterogeneous surfaces. Many lineages subsequently returned to the water, while others conquered the aerial environment, further diversifying under the physical constraints of locomoting through continuous fluid media. While many studies have explored the relationship between locomotion in continuous fluids and body mass, none have focused on how continuous fluid media have impacted the macroevolutionary patterns of limb shape diversity.
We investigated whether mammals that left terrestrial environments to use air and water as their main locomotor environment experienced constraints on the morphological evolution of their forelimb, assessing their degree of morphological disparity and convergence. We gathered a comprehensive sample of more than 800 species that cover the extant family‐level diversity of mammals, using linear measurements of the forelimb skeleton to determine its shape and size.
Among mammals, fully aquatic groups have the most disparate forelimb shapes, possibly due to the many different functional roles performed by flippers or the relaxation of constraints on within‐flipper bone proportions. Air‐based locomotion, in contrast, is linked to restricted forelimb shape diversity. Bats and gliding mammals exhibit similar morphological patterns that have resulted in partial phenotypic convergence, mostly involving the elongation of the proximal forelimb segments.
Thus, whereas aquatic locomotion drives forelimb shape diversification, aerial locomotion constrains forelimb diversity. These results demonstrate that locomotion in continuous fluid media can either facilitate or limit morphological diversity and more broadly that locomotor environments have fostered the morphological and functional evolution of mammalian forelimbs.

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Caught in a Vicious Cycle: Where are we with Stop and Search?
Authors: Shiner Michael , Delsol Rebekah , Samota Neena 
Published: August 2024

AbstractPolice in England and Wales are invested with specific legal powers to detain a person—who is not under arrest—and search them or their vehicle for unlawful items. The exercise of this coercive power has long been a source of tension and mistrust, particularly among minoritised and other marginalised communities, and has been repeatedly implicated among the causes of serious public disorder. Although concerns about the misuse of stop and search have created a recurring cycle of crisis and reform—stretching back over more than four decades—the fundamental problem remains unchanged. How did this happen and what should now be done about it? These questions will be addressed by considering how the policy problem has been framed over time, reviewing evidence on the impact of stop and search and identifying policy challenges associated with regulating the powers, including lessons that can be learnt from previous attempts at reform.
How to Build Progressive Public Services with Data Science and Artificial Intelligence
Authors: Margetts Helen , Dorobantu Cosmina , Bright Jonathan 
Published: August 2024

AbstractThe new government faces an urgent challenge: revitalising the UK's crumbling public services without major increases in public spending. While technological change holds promise, UK digital government initiatives have failed to reach their full potential over the past twenty‐five years. This article argues that the latest generation of ‘data‐intensive’ technologies, including data science and AI, can succeed where past efforts have faltered. We provide a roadmap for how to harness the power of recent technologies for a more productive and equitable public sector, and pinpoint the organisational changes necessary to develop progressive, technologically enhanced public services.
State of the Field: The New Administrative History
Authors: MCGOVERN JONATHAN , WRIGHT KIRSTY , HUDDLESTONE CONNOR 
Published: August 2024

AbstractThis article discusses the development of administrative history from ancient times to the present day. It explains the importance of Thomas Madox, T. F. Tout and other pioneers of administrative history in modern England and France. It also discusses the golden age of early modern administrative history (roughly 1950–1990), in which administrative methods thrived under the auspices of Sir Geoffrey Elton. The final section discusses a recent resurgence of administrative history, which some have referred to as the New Administrative History. It makes a case for the continuing importance of administrative history.
Properties, evaluation and application of naringin magnetic molecularly imprinted polymer based on synergistic imprinting strategy
Authors: Zhang Li‐Ping , Wang Miao , Li Tian , He Yi‐Fan , Li Shu‐Jing , Wang Lan , Mao Long‐Fei 
Published: August 2024

AbstractA novel and facile surface molecularly imprinted polymer coated on magnetic chitosan (Fe3O4@CS@MIP) was fabricated for the selective recognition and enrichment of naringin (NRG). The Fe3O4@CS@MIP was prepared based on covalent–noncovalent synergistic imprinting strategies, utilizing 4‐vinyl phenyl boric acid as covalent functional monomer, deep eutectic solvent (choline chloride/methacrylic acid [ChCl/MAA]) as non‐covalent functional monomer and Fe3O4@CS nanoparticles as the magnetic support. The obtained Fe3O4@CS@MIP exhibited a uniform morphology, excellent crystallinity, outstanding magnetic properties, and high surface area. Owing to the double recognition abilities, the resultant polymer showed exceptional binding performance and rapid mass transfer in phosphate buffer (pH 7.0). The maximum binding amount of Fe3O4@CS@MIP was found to be 15.08 mg g−1, and the equilibrium adsorption could be achieved within 180 min. Moreover, they also exhibited stronger selectivity for NRG and satisfactory reusability, with only 11.0% loss after five adsorption‐desorption cycles. Additionally, the Fe3O4@CS@MIP, serving as an adsorbent, presented practical application potential in the separation and enrichment of NRG from pummelo peel, with extraction efficiency in the range of 79.53% to 84.63%. This work provided a new strategy for improving the performance of MIP and contributed an attractive option for the extraction of NRG in complex samples.
Stability of oil‐in‐water emulsion and immunomodulating activity in S180 tumor‐bearing mice
Authors: Zhang Yanying , Dong Jingning , Wang FeiFei , Li Qiqi , Fan Yan , Zhao Xue , Hao Li , Hou Hu 
Published: August 2024

AbstractThe stability and nutritional integrity of emulsions are susceptible to various factors including thermal treatment, solid–liquid ratio, and sterilization. In this study, the physicochemical stability and immunomodulatory activities of an oil‐in‐water emulsion containing immune peptides (TUFSE) were assessed through particle size, zeta potential, related cytokines, and so on. When the temperature was 70°C and a solid–liquid ratio of 1:4, the emulsion revealed stability at high‐pressure homogenization, with the small particle size. The loss rates of vitamins were 8.57%–62.26% in 6 months at 25°C. After treatment with cyclophosphamide (CTX), lymphocyte proliferation activity in TUFSE‐H group increased (p < 0.05), and immune globulin levels were notably elevated (p < 0.05) in TUFSE groups compared to model group. It confirms the parameters of the emulsion, suggesting its ability to be prepared with minimal vitamin loss while simultaneously improving the disease status in CTX‐treated tumor‐bearing mice. It shows potential as an immune‐enhancing supplement with significant potential value.Practical ApplicationThis study validated the parameters of the oil‐in‐water emulsion and showed that it can be stably prepared with minor vitamin loss while simultaneously improving the disease status in CTX‐treated tumor‐bearing mice. TUFSE‐H group exhibited a notable increase in lymphocytes proliferation activity, whereas serum cytokines and immune globulin levels were elevated compared to MC group, indicating its potential as an immune‐enhancing supplement with substantial value.