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This paper presents a comprehensive performance analysis of a downlink non-orthogonal multiple access (NOMA) network assisted by an active reconfigurable intelligent surface (ARIS) in a cognitive spectrum-sharing scenario. Unlike conventional passive RIS (PRIS), the ARIS can both adjust phase shifts and amplify incident signals, thereby mitigating inter-user interference and overcoming multiplicative fading. We consider a two-user secondary network coexisting with a primary user, where the base station communicates with the secondary users via the ARIS. Closed-form expressions for the outage probability (OP), throughput, energy efficiency (EE), and an approximation for the ergodic data rate (EDR) are derived under Nakagami- m fading, along with asymptotic OP analysis to reveal the achievable diversity order. We also formulate and solve an optimization problem for the NOMA power allocation coefficient to minimize OP. The main contributions are: (i) proposing an ARIS-assisted NOMA architecture for spectrum-sharing networks and comparing it with PRIS and orthogonal multiple access (OMA) schemes; (ii) deriving exact OP, throughput, and EE expressions, and an approximate EDR expression, validated by Monte Carlo simulations; (iii) providing asymptotic OP analysis to characterize the diversity order; and (iv) optimizing NOMA power allocation to minimize OP. Numerical results confirm that ARIS significantly outperforms PRIS and OMA in terms of OP, throughput, EC, and EE, demonstrating its potential to enhance spectral efficiency, reliability, and coverage in next-generation spectrum-sharing NOMA networks.

This bibliometric study seeks to analyze the intellectual structure and development of green finance research over a nearly 30-year period. Using Scopus data, a comprehensive analysis of 1,487 English-language publications on green finance was conducted. The scope of the analysis spans the years from 1997 to 2024. The analysis investigates numerous facets of green finance scholarship, such as publication and citation trends, influential works, authorship networks, geographic concentrations, conceptual links, and developmental phases. Since 2015, the number of publications and citations has increased significantly, indicating a significant rise in academic and industry interest. China is the leader in terms of research output and influence, demonstrating its dominance in the field. However, it is essential to note that other Asia-Pacific countries, such as Japan and Malaysia, have also made significant contributions to the field. Public policies, government initiatives, and the participation of the private sector are crucial to accelerating green investments and promoting sustainability, as evidenced by numerous citations to scholarly works on the subject. The study investigates a number of prospective future research avenues, including green bonds, green credit policies, green investment, green financial regulation, and green financial technology applications. Despite its heavy reliance on English-language Scopus sources, this quantitative longitudinal mapping provides valuable insights into the emergence and evolution of green finance as a significant multidisciplinary research field. AcknowledgmentIt is essential to express gratitude to all those who contributed to the success of this study, particularly those at the Ho Chi Minh University of Banking, Vietnam.

Outage probability (OP) and potential throughput (PT) of multihop full-duplex (FD) nonorthogonal multiple access (NOMA) systems are addressed in the present paper. More precisely, two metrics are derived in the closed-form expressions under the impact of both imperfect successive interference cancellation (SIC) and imperfect self-interference cancellation. Moreover, to model short transmission distance from the transmit and receive antennae at relays, the near-field path-loss is taken into consideration. Additionally, the impact of the total transmit power on the performance of these metrics is rigorously derived. Furthermore, the mathematical framework of the baseline systems is provided too. Computer-based simulations via the Monte Carlo method are given to verify the accuracy of the proposed framework, confirm our findings, and highlight the benefits of the proposed systems compared with the baseline one.

Adoptive immunotherapy using chimeric antigen receptor (CAR) expressing T cells targeting the CD19 B lineage receptor has demonstrated marked success in relapsed pre-B-cell acute lymphoblastic leukaemia (ALL). Persisting CAR-T cells generate sustained pressure against CD19 that may drive unique mechanisms of resistance. Pre-B ALL originates from a committed pre-B cell or an earlier progenitor, with potential to reprogram into other hematopoietic lineages. Here we report changes in lineage markers including myeloid conversion in patients following CD19 CAR therapy. Using murine ALL models we study the long-term effects of CD19 CAR-T cells and demonstrate partial or complete lineage switch as a consistent mechanism of CAR resistance depending on the underlying genetic oncogenic driver. Deletion of Pax5 or Ebf1 recapitulates lineage reprogramming occurring during CD19 CAR pressure. Our findings establish lineage switch as a mechanism of CAR resistance exposing inherent plasticity in genetic subtypes of pre-B-cell ALL. CAR-T targeting CD19 have been successfully used in a variety of B-cell malignancies but patients may eventually relapse. Here, the authors show that CD19 CAR-T resistance in pre-B cell ALL can be due to the induction of a myeloid lineage switch through an epigenetic alterations in master regulators of B cell development.

In this paper, we investigate using rate-splitting multiple access (RSMA) to facilitate covert communication in a multi-user unmanned aerial vehicle (UAV) downlink communication network that is being monitored by a warden (Willie). We establish a comprehensive analytical framework and derive closed-form expressions for key performance metrics under Nakagami-m fading channels. Specifically, we analyze the detection error probability (DEP) at Willie to quantify system covertness, in addition to outage probability (OP) and ergodic rate (ER) experienced by legitimate users, along with asymptotic analysis in the high signal-to-noise ratio (SNR) region. Furthermore, we propose an efficient alternating optimization algorithm to determine the optimal static position of the UAV that maximizes system covertness. Numerical simulations support the theoretical results derived, present the impact of various system parameters, and provide a performance comparison with non-orthogonal multiple access (NOMA). Results indicate that RSMA offers significant covertness gains over the NOMA scheme.

Fry et al . report the first results from a human trial of a CD22-directed chimeric antigen receptor (CAR) T cell therapy providing evidence of efficacy in the treatment of pre–B cell acute lymphoblastic leukemia that is immunotherapy-naive or resistant to CD19-directed CAR T cells. Chimeric antigen receptor (CAR) T cells targeting CD19 mediate potent effects in relapsed and/or refractory pre–B cell acute lymphoblastic leukemia (B-ALL), but antigen loss is a frequent cause of resistance to CD19-targeted immunotherapy. CD22 is also expressed in most cases of B-ALL and is usually retained following CD19 loss. We report results from a phase 1 trial testing a new CD22-targeted CAR (CD22-CAR) in 21 children and adults, including 17 who were previously treated with CD19-directed immunotherapy. Dose-dependent antileukemic activity was observed, with complete remission obtained in 73% (11/15) of patients receiving ≥1 × 10 6 CD22-CAR T cells per kg body weight, including 5 of 5 patients with CD19 dim or CD19 − B-ALL. Median remission duration was 6 months. Relapses were associated with diminished CD22 site density that likely permitted CD22 + cell escape from killing by CD22-CAR T cells. These results are the first to establish the clinical activity of a CD22-CAR in B-ALL, including leukemia resistant to anti-CD19 immunotherapy, demonstrating potency against B-ALL comparable to that of CD19-CAR at biologically active doses. Our results also highlight the critical role played by antigen density in regulating CAR function.

This bibliometric analysis aims to delineate the progression of research in the domain of digital marketing by examining 513 English-language articles published in Scopus during the period of 2003–2024. An examination of scholarly productivity indicates an upward trend, as evidenced by the increase in publications from one in 2003 to 115 in 2022 and citations from 79 in 2003 to 1131 in 2021, as determined by keyword, citation, and authorship analyses. A review of citation patterns reveals that publications with significant impact are primarily found in prestigious academic journals, such as Industrial Marketing Management and International Journal of Research in Marketing. Prominent contributors hail from Jordan, Finland, Spain, the United Arab Emirates, and Saudi Arabia; among other regions – the United States, the Middle East, Europe, and Asia. Keyword analysis revealed an emphasis on emerging technologies such as artificial intelligence and traditional digital marketing techniques (e.g., social media, content marketing, internet marketing). Co-occurrence theme analysis highlighted digital marketing strategy, digital marketing audiences, the digital transformation of business and marketing, and the acceleration of digital adoption as a result of COVID-19. Further areas of investigation encompass optimizing the utilization of emergent social media platforms, implementing virtual and augmented reality technologies to enhance the customer experience, and capitalizing on the potential of artificial intelligence and machine learning to augment the efficacy of digital marketing. By utilizing data-driven insights, this study offers guidance for curricular enhancements, scholarly agendas, and digital marketing practice. AcknowledgmentThe author thanks everyone who helped make this study possible, but especially those at the Ho Chi Minh University of Banking, Vietnam.

This bibliometric analysis examines the evolution of academic research on banking risk management over the past four decades. The research maps publication trends, influential works, authorship, geographical distribution, conceptual themes, and future research directions using quantitative analysis of 286 English-language articles from the Scopus database. Since the 1990s, publication output and citations have been on the rise, with peaks in 2012 and 2019, indicating a rise in scholarly interest. The focus of research has expanded beyond credit risk to include operational, liquidity, and other key risks. Governance and culture are also expanding areas of emphasis. Geographic diffusion is revealed by bibliometric mapping, shifting from the early dominance of U.S. and European scholars to the increasing contributions of Asia and other emerging economies. Analysis of frequently occurring keywords illustrates the importance of fundamental risk management concerns. Six conceptual domains are identified by cluster analysis: operational risks, governance, liquidity risks, commercial bank risks, credit risks and performance, and market risk interactions. Based on the bibliometric analysis and research findings, three promising future research directions are proposed: the impact of pandemics and natural disasters on bank risk management; emerging threats such as cybercrime and climate change; and the impact of risk culture and governance on outcomes. AcknowledgmentIt is crucial to recognize everyone who contributed to the success of this study, notably the Ho Chi Minh University of Banking, Vietnam.

We explored the utility of targeting anaplastic lymphoma kinase (ALK), a cell surface receptor overexpressed on pediatric solid tumors, using chimeric antigen receptor (CAR)-based immunotherapy. T cells expressing a CAR incorporating the single-chain variable fragment sequence of the ALK48 mAb linked to a 4-1BB-CD3ζ signaling domain lysed ALK-expressing tumor lines and produced interferon-gamma upon antigen stimulation but had limited anti-tumor efficacy in two xenograft models of human neuroblastoma. Further exploration demonstrated that cytokine production was highly dependent upon ALK target density and that target density of ALK on neuroblastoma cell lines was insufficient for maximal activation of CAR T cells. In addition, ALK CAR T cells demonstrated rapid and complete antigen-induced loss of receptor from the T cell surface via internalization. Using a model that simultaneously modulated antigen density and CAR expression, we demonstrated that CAR functionality is regulated by target antigen and CAR density and that low expression of either contributes to limited anti-tumor efficacy of the ALK CAR. These data suggest that stoichiometric relationships between CAR receptors and target antigens may significantly impact the anti-tumor efficacy of CAR T cells and that manipulation of these parameters could allow precise tuning of CAR T cell activity. Walker, Majzner, and colleagues describe a chimeric antigen receptor (CAR) T cell therapy targeted against anaplastic lymphoma kinase, which is overexpressed on several types of pediatric solid tumors. Anti-tumor activity is coordinately regulated by tumor antigen and CAR density, and down-modulation of the CAR may limit T cell effector function.