Innovative Vector Research Articles

On the feasibility of an ensemble multi-fidelity neural network for fast data assimilation for subsurface flow in porous media

Uncertainty quantification (UQ) of the reservoir heterogeneity is essential to predict fluid flow behavior in subsurface formations accurately, and the task is often accomplished by integrating high-fidelity forward physics simulators with iterative data assimilation methods, and such workflows are usually computationally expensive due to the iterative nature and the prohibitive cost of physics simulations.In this work, we develop a new Ensemble Multi-Fidelity Neural Network (EMF-Net) to mitigate the efficiency bottleneck of UQ. EMF-Net directly infers the uncertain variables (e.g., permeability) via the sparse observation of the state variables (e.g., pressure). By leveraging the regression capability of deep neural networks, EMF-Net directly learns the nonlinear mapping from the innovation vector to the inferred update vector without the hypothesis of a linear mapping. At the training phase, high-fidelity data computed by a physics simulator (fh) and low-fidelity data computed by a forward proxy model (fl) are used to train the EMF-Net at two different stages, respectively. At the inference phase, we first adopt the 1-stage EMF-Net to infer the update vector for the initial ensembles with a global tuning and then efficiently update the innovation vector by fl. As an option, we further refine the inference, via a 2-stage EMF-Net, which captures the locality and enhances consistency with the observation data. We demonstrate that EMF-Net can reach equivalent inference accuracy compared to classic data assimilation algorithms like ES-MDA, in addition to decreasing the CPU time. Therefore, the accuracy and efficiency make it an attractive alternative for scalable real-time history-matching tasks in field-scale subsurface engineering applications.

Innovative strategies and challenges mosquito-borne disease control amidst climate change.

The revival of the transmission dynamics of mosquito-borne diseases grants striking challenges to public health intensified by climate change worldwide. This inclusive review article examines multidimensional strategies and challenges linked to climate change and the epidemiology of mosquito-borne diseases such as malaria, dengue, Zika, chikungunya, and yellow fever. It delves into how the biology, pathogenic dynamics, and vector distribution of mosquitoes are influenced by continuously rising temperatures, modified rainfall patterns, and extreme climatic conditions. We also highlighted the high likelihood of malaria in Africa, dengue in Southeast Asia, and blowout of Aedes in North America and Europe. Modern predictive tools and developments in surveillance, including molecular gears, Geographic Information Systems (GIS), and remote sensing have boosted our capacity to predict epidemics. Integrated data management techniques and models based on climatic conditions provide a valuable understanding of public health planning. Based on recent data and expert ideas, the objective of this review is to provide a thoughtful understanding of existing landscape and upcoming directions in the control of mosquito-borne diseases regarding changing climate. This review determines emerging challenges and innovative vector control strategies in the changing climatic conditions to ensure public health.

Global Health Priority Box─Proactive Pandemic Preparedness.

The coronavirus pandemic outbreak of 2019 highlighted the critical importance of preparedness for current and future public health threats (https://www.mmv.org/mmv-open/global-health-priority-box/about-global-health-priority-box). While the main attention for the past few years has been on COVID-19 research, this focus has reduced global resources on research in other areas, including malaria and neglected tropical diseases (NTDs). Such a shift in focus puts at risk the hard-earned progress in global health achieved over the past two decades (https://www.who.int/news-room/spotlight/10-global-health-issues-to-track-in-2021). To address the urgent need for new drugs to combat drug-resistant malaria, emerging zoonotic diseases, and vector control, Medicines for Malaria Venture (MMV) and Innovative Vector Control Consortium (IVCC) assembled a collection of 240 compounds and, in August 2022, launched the Global Health Priority Box (GHPB). This collection of compounds has confirmed activity against emerging pathogens or vectors and is available free of charge. This valuable tool enables researchers worldwide to build on each other's work and save precious time and resources by providing a starting point for the further development of treatments and insecticides. Furthermore, this open access box aligns with two of the many priorities outlined by the World Health Organization (WHO) (https://www.who.int/news-room/spotlight/10-global-health-issues-to-track-in-2021).

Successful Coronary Interventions with the Ingenious Vector\(\circledR\) Balloon in Chronic Total Occlusion (CTO): A Preliminary Study

Aims: To assess the safety and plausibility of successful coronary interventions in Chronic Total Occlusion (CTO) with the innovative Vector\(\circledR\) balloon through balloon-assisted crossing technique. Study Design: Observational, prospective study. Place and Duration of Study: Department of Cardiology, King Edward Memorial Hospital and Seth G. S. Medical College, Mumbai. The study was carried out between the months of March and June, 2024. Methodology: A total of 20 patients were included in the study. All patients with chronic coronary syndrome were being planned for Percutaneous Coronary Intervention (PCI) for CTO. During PCI, the standard protocol of intervening CTO lesions was followed. When the operator was not able to cross the lesion with standard CTO guidewires, Vector\(\circledR\) balloon-assisted crossing was planned. This technique was used in a total of seven (35%) patents. Success was defined as the possibility of advancing the guidewire further to the target lesion and being able to deploy a drug eluting stent. Safety was assessed as reporting complications like kinking or rupture of the balloon shaft, loss of balloon inside the guide or the coronary artery and the balloon burst rate after inflation exceeding the Rated Burst Pressure (RBP) according to the manufacturer’s reference table. Results: The mean age of the patients was 58.1 ± 3.6 years. The balloon-assisted crossing was successful in all seven patients. The most commonly used diameter of the balloon was 1.25 mm (42.85%). Conclusion: The novel Vector\(\circledR\) balloon catheter showed excellent result when deployed to treat the CTO after the usual strategy of guidewire escalation had failed. The proximal shaft with polytetrafluoroethylene (PTFE) coating brings the flexibility to navigate complex and tortuous vascular pathways with ease due to its laser welded core-wire. A study with a larger sample size and a comparator arm would rather clarify if such a balloon-assisted crossing technique in CTO would decrease the need of costly devices like double lumen microcatheters.

Dengue outbreaks in northern Nigeria: Evaluating the recommended Takeda vaccine and future prevention strategies.

Dengue fever, caused by the dengue virus (DENV), poses a significant public health challenge globally, with Nigeria experiencing sporadic outbreaks. A clear understanding of the dengue burden has not been achieved in Nigeria, just as in other African countries. Understanding the epidemiology and burden of dengue fever is essential for effective prevention and control strategies. This paper examines the recent dengue outbreaks in northern Nigeria, particularly in Sokoto state, and evaluates the recommended Takeda dengue vaccine (TDV) along with future prevention strategies. Despite limited surveillance and underreporting, dengue fever is endemic in Nigeria (with over 5 million cases and 5000 dengue-related deaths in 2023), with recent outbreaks indicating a growing concern. The TDV, a live attenuated tetravalent vaccine, has shown promise in preventing dengue fever, but challenges such as vaccine acceptance and accessibility need to be addressed. Global urbanization contributes to the disease's spread, which is influenced by factors such as population density, cultural beliefs, water storage practices, hygiene, and water supply accessibility. Future prevention strategies must focus on government intervention, community practices, and innovative vector control measures to mitigate the spread of DENV in Nigeria. This study will serve as a valuable reference for policymakers, researchers, and clinicians in the management and control of DENV in Nigeria and Africa as a whole.

The innovative vector of technology–based development of shipping companies is autonomous navigation

The article is devoted to the current state of water transport, problems and prospects of its development. Special attention is paid to the innovative vector of development of shipping companies on the basis of technologies - autonomous navigation. The development of the shipping industry on the basis of autonomous navigation opens significant opportunities in the sphere of safety improvement, increase of profit by reducing the costs of maintenance of ship crews. Examples of implementation and use of remote control of a vessel using autonomous navigation means along a socially and economically significant route are given. The article studies the legal acts that came into force in 2024, fixing the legal basis for the creation of autonomous navigation, which gives the opportunity to actively develop this promising direction. It will allow water transport to be competitive, and thus one of the key sectors of the Russian economy to become a pillar for achieving its growth. Based on the study of the materials of the Russian Federation SP in the field of inland water transport development, the factors that will contribute to the efficiency of the implementation of the initiatives of socio-economic development of the Russian Federation until 2030 are proposed.

Vector Storage Based Long-term Memory Research on LLM

Abstract Current large language model (LLM) intelligences face the challenges of high inference cost and low decision quality when dealing with complex tasks, and are especially deficient in maintaining context coherence during long tasks. This research presents an innovative vector storage long-term memory mechanism model (VIMBank) to enhance the long-term context retention ability and task execution efficiency of LLM intelligences by storing and retrieving historical interaction data through a vector database. VIMBank utilizes a dynamic memory updating strategy and the Ebbinghaus forgetting curve theory to efficiently manage the memory of intelligences and reinforce critical information, forgetting unimportant data, and optimizing storage and reasoning costs. The experimental results show that VIMBank significantly improves the decision quality and efficiency of LLM intelligences in multi-tasking scenarios and reduces the computational cost. Compared with different agents, the success rate of task decision is increased by 10% to 20%, and the reasoning cost is reduced by about 23%, which provides an important theoretical basis and practical support for the future development of intelligences with long term memory and adaptive learning ability.

Development of super-infective ternary vector systems for enhancing the Agrobacterium-mediated plant transformation and genome editing efficiency.

Agrobacterium-mediated transformation remains a cornerstone of plant biology, fueling advancements in molecular genetics, new genomic techniques (NGTs), and the biotech industry. However, recalcitrant crops and technical hurdles persist as bottlenecks. The goal was to develop super-infective ternary vector systems that integrate a novel salicylic acid-degrading enzyme, GABA, and ethylene-degrading enzymes, targeting the transformation of crops by neutralizing plant defense system on Agrobacterium. Firstly, both the effect and activity of introducing enzymes were validated in EHA105, an important Agrobacterium strain. Our study demonstrates that all ternary vector (Tv) system variants significantly enhance reporter expression in transient assays with Nicotiana benthamiana and Cannabis sativa. Specifically, incorporating a constitutive virG mutation with novel enzyme combinations increased GFP and RUBY expression in C. sativa by >5-fold and 13-fold, respectively. The Tv system, combined with a geminivirus replicon, markedly boosted GUS gene expression in tomato, enhancing genome editing efficiency. Notably, compared to controls, Tv-VS demonstrated up to 18-fold and 4.5-fold increases in genome editing efficiency in C. sativa and tomato, respectively. Additionally, stable transformation rates in tomato and Arabidopsis improved significantly, with Tv-VS showing a remarkable 2.5-fold increase in transformation efficiency compared to control strains. The research marks notable progress in Agrobacterium-mediated plant transformation. The innovative ternary vectors overcome plant defense mechanisms, enabling genetic manipulation in previously challenging plant species. This development is anticipated to broaden the applications of plant genetic engineering, contributing to advancements in crop genome editing.

Application of innovative SVM-PSO-GA algorithm to study vibrations of improved perovskite solar cells

This study investigates the vibrations of graphene oxide powders (GOPs) reinforced perovskite solar cells surrounded by an elastic foundation using both mathematical modeling and innovative machine learning algorithms. The incorporation of GOPs into the perovskite matrix enhances the mechanical properties and stability of the solar cells, which are crucial for their durability and efficiency. The analysis is conducted through the application of Hamilton’s principle, providing a robust theoretical framework for deriving the governing equations of motion. An analytical method is employed to solve these equations, allowing for the accurate prediction of the vibrational behavior of the reinforced solar cells. The effects of various parameters, including the stiffness of the elastic foundation and the concentration of GOPs, are systematically examined. This study presents the application of an innovative Support Vector Machine (SVM)-Particle Swarm Optimization (PSO)-Genetic Algorithm (GA) to analyze the vibrations of GOPs reinforced perovskite solar cells surrounded by an elastic foundation using mathematical modeling datasets. The SVM-PSO-GA algorithm to enhance predictive accuracy. The integrated approach leverages the strengths of each method to model and predict the vibrational behavior of the reinforced solar cells. The results highlight the algorithm’s effectiveness in capturing complex interactions and optimizing design parameters, providing valuable insights for improving the stability and performance of perovskite solar cells in practical applications.

Infectivity of Plasmodium parasites to Aedes aegypti and Anopheles stephensi mosquitoes maintained on blood-free meals of SkitoSnack

BackgroundAedes and Anopheles mosquitoes are responsible for tremendous global health burdens from their transmission of pathogens causing malaria, lymphatic filariasis, dengue, and yellow fever. Innovative vector control strategies will help to reduce the prevalence of these diseases. Mass rearing of mosquitoes for research and support of these strategies presently depends on meals of vertebrate blood, which is subject to acquisition, handling, and storage issues. Various blood-free replacements have been formulated for these mosquitoes, but none of these replacements are in wide use, and little is known about their potential impact on competence of the mosquitoes for Plasmodium infection.MethodsColonies of Aedes aegypti and Anopheles stephensi were continuously maintained on a blood-free replacement (SkitoSnack; SS) or bovine blood (BB) and monitored for engorgement and hatch rates. Infections of Ae. aegypti and An. stephensi were assessed with Plasmodium gallinaceum and P. falciparum, respectively.ResultsReplicate colonies of mosquitoes were maintained on BB or SS for 10 generations of Ae. aegypti and more than 63 generations of An. stephensi. The odds of engorgement by SS- relative to BB-maintained mosquitoes were higher for both Ae. aegypti (OR = 2.6, 95% CI 1.3–5.2) and An. stephensi (OR 2.7, 95% CI 1.4–5.5), while lower odds of hatching were found for eggs from the SS-maintained mosquitoes of both species (Ae. aegypti OR = 0.40, 95% CI 0.26–0.62; An. stephensi OR = 0.59, 95% CI 0.36–0.96). Oocyst counts were similar for P. gallinaceum infections of Ae. aegypti mosquitoes maintained on SS or BB (mean ratio = [mean on SS]/[mean on BB] = 1.11, 95% CI 0.85–1.49). Similar oocyst counts were also observed from the P. falciparum infections of SS- or BB-maintained An. stephensi (mean ratio = 0.76, 95% CI 0.44–1.37). The average counts of sporozoites/mosquito showed no evidence of reductions in the SS-maintained relative to BB-maintained mosquitoes of both species.ConclusionsAedes aegypti and An. stephensi can be reliably maintained on SS over multiple generations and are as competent for Plasmodium infection as mosquitoes maintained on BB. Use of SS alleviates the need to acquire and preserve blood for mosquito husbandry and may support new initiatives in fundamental and applied research, including novel manipulations of midgut microbiota and factors important to the mosquito life cycle and pathogen susceptibility.Graphical

Navigation performance analysis of Earth–Moon spacecraft using GNSS, INS, and star tracker

Global Navigation Satellite System (GNSS) can provide an approach for spacecraft autonomous navigation in earth–moon space to make up for the insufficiency of earth-based tracking, telemetry, and control systems. However, its weak power and poor observation geometry near the moon causes new problems. After the GNSS signal characteristics and satellite visibility were evaluated in Phasing Orbit and Lunar Transfer Orbit, we proposed an adaptive Kalman filter based on the Carrier-to-Noise ratio (C/N0) and innovation vector to weaken the influence of GNSS accuracy attenuation as much as possible. The experimental results show that the spacecraft position and velocity accuracy are better than 10 m and 0.1 m/s near the Earth, and better than 50 m and approximately 0.2 m/s near the moon use GNSS with the proposed adaptive algorithms. Additionally, because of the deterioration of navigation performance based on the orbit filter during orbital maneuvering, we used accelerometer data to compensate for the dynamic model to maintain navigation performance. The results of the experiment provide a reference for subsequent studies.

Next-generation neuropeptide Y receptor small-molecule agonists inhibit mosquito-biting behavior

BackgroundFemale Aedes aegypti mosquitoes can spread disease-causing pathogens when they bite humans to obtain blood nutrients required for egg production. Following a complete blood meal, host-seeking is suppressed until eggs are laid. Neuropeptide Y-like receptor 7 (NPYLR7) plays a role in endogenous host-seeking suppression and previous work identified small-molecule NPYLR7 agonists that inhibit host-seeking and blood-feeding when fed to mosquitoes at high micromolar doses.MethodsUsing structure–activity relationship analysis and structure-guided design we synthesized 128 compounds with similarity to known NPYLR7 agonists.ResultsAlthough in vitro potency (EC50) was not strictly predictive of in vivo effect, we identified three compounds that reduced blood-feeding from a live host when fed to mosquitoes at a dose of 1 μM—a 100-fold improvement over the original reference compound.ConclusionsExogenous activation of NPYLR7 represents an innovative vector control strategy to block mosquito biting behavior and prevent mosquito–human host interactions that lead to pathogen transmission.Graphical

Innovative Vector of Economic Development of China

In a short period of time, China has become one of the world's leading innovation centers. This is its phenomenon. A review of scientific publications has led to the conclusion that the accelerated transition to an innovation model is due to economic policy and government support. The upward track of the scientific and technological development in China is evidenced by continuous intensive R&D investments. Their growth rates exceed those in the USA and EU. The core of the national innovation system is the state and small and medium-sized businesses, whose share in the gross domestic product is 60-70%. According to the International Intellectual Property Organization (WIPO), China is significantly ahead of all countries in the world in the number of accepted patent applications, registered trademarks and design developments in the world, and by 2030 the country will take the 1st place in the world in terms of high-tech products export share. The article is devoted to the Chinese experience of transition to an innovative model of economic development.

Complexity of Contemporary Indicators of Compromise

The cybersecurity landscape has undergone substantial transformation, especially in the sphere of Advanced Persistent Threats (APT). These evolving threats, marked by increased sophistication, scale, and impact, require the critical revaluation of traditional security models and the development of more advanced defensive strategies. This study offers a comprehensive analysis of the progress in APT attack methodologies over the past 30 years, focused on the evolving nature of compromise (IoCs) and their role in shaping future predictive and defensive mechanisms. Using a rigorous methodological approach, this survey systematically reviewed 21 significant APT incidents that span three decades. This includes integrating data from various sources such as academic journals, specialised cybersecurity blogs, and media reports. Using comparative and analytical methods, this study dissects each incident to provide an intricate understanding of the APT landscape and the evolution of IoCs. Our findings indicate a notable change in thinking from isolated hacker activities to organised state-sponsored APT operations driven by complex motives such as political espionage, economic disruption, and national security interests. Advancements in APTs are characterised by sophisticated persistence mechanisms, innovative attack vectors, advanced lateral movement within networks, and more covert data exfiltration and evasion methods.This study emphasises the difficulties in detecting advanced persistent threat (APT) activities due to their sophisticated and secretive nature. This stresses the importance of thoroughly investigating the evidence of such activities and highlights the need for a dynamic and initiative-cybersecurity approach. This study also highlights the crucial role of integrating IoC understanding into AI-driven predictive models and frameworks to predict potential APT. This integration is essential for the development of pre-emptive defence strategies. This study provides valuable information on the evolving dynamics of cyber threats and emphasises the urgent need for forward-thinking adaptive cybersecurity strategies. It offers a framework for understanding the complexities of modern APTs and guides the development of more effective AI-enhanced defence mechanisms against emerging cyber threats.

Innovative development of water transport enterprises as a branch of high-tech industry

The article is devoted to the innovative development of enterprises of high-tech products on the example of water transport. Water transport refers to high-tech products and in this regard, its production has a rather complex production logistics (intellectual, supply, organizational, financial, information, personnel, innovation, etc.) [2-3]. In this regard, the search for promising directions in the development of high-tech products becomes particularly relevant and important: a real opportunity to implement research and innovation and investment projects, the implementation of which will bring enterprises of the high-tech industry for the production of water transport to leading positions not only in the national economy, but also in the world [4-6]. This determines the importance of monitoring research projects as a vector for the development of innovative production at two levels: product (high-tech products) and technological (innovative technologies) [7]. The innovative vector of development of enterprises of high-tech products allows the actual efficiency of high-tech production to be brought closer to full potential efficiency, other things being equal, production factors in a short time of the stage of research and scientific and technical development of the life cycle of products of shipbuilding products, which is given the main attention in the article [6-7]. At the same time, an innovative approach, introducing products into industrial circulation, naturally provides conditions for further scientific and technical (innovative) development of both the products themselves and technologies (in other words, early introduction of products ensures its early withdrawal: the speed of the wheel of economic efficiency of production activities). When the actual efficiency of the limit of the potential efficiency of technological production is reached, in accordance with the laws of synergy, there is a leap, an innovative transition to a new (next, subsequent) level of potential efficiency of production of high-tech products, which naturally puts forward new requirements of an innovative nature to production. Otherwise, production due to the (law) moral aging of industrial products is doomed to bankruptcy due to the so-called factor of technological flexibility of production (TG). Which (TG), if organizationally taken into account in the economic activities of enterprises as forecasting, planning and management (design and innovation management), forms (economically ensures) the sustainable functioning and development of enterprises of high-tech products in modern conditions (the wheel of economic efficiency of production activities is the human factor): in the market model of the state transformation of a product (product) into a commodity and contracting.

A multiscale analysis of returns and volatility spillovers in cryptocurrency markets: A post-COVID perspective

ABSTRACT Since the onset of the COVID-19 pandemic, leading cryptocurrencies have undergone significant price fluctuations, prompting widespread interest in the interdependence and spillover effects among cryptocurrency markets, as well as in identifying the key cryptocurrencies that drive market movements. This study contributes to the existing literature by utilising innovative vector wavelet coherence (VWC) and wavelet local multiple correlation (WLMC) frameworks to investigate the time-frequency co-movements among four cryptocurrencies (Bitcoin, Ethereum, Tether, and Binance). By exploring the co-movements across multiple time scales over a period from 01/01/2020 to 10/04/2023 through continuous and discrete wavelet coherency analysis, we identify four key empirical findings. Firstly, the returns connectedness is stronger than the volatility connectedness. Secondly, high-frequency co-movements are more erratic and correspond to positive and negative unexpected news, while low-frequency co-movements vary with changes in US monetary policy. Thirdly, Tether and Binance exhibit the weakest returns and volatility connectedness with other cryptocurrencies. Lastly, Ethereum and Tether (not Bitcoin) are the primary cryptocurrencies that account for returns and volatility movements in the market. We discuss the implications of these findings for various stakeholders in cryptocurrency markets.

High Frequencies of kdr Mutation and Chikungunya Infection in Aedes aegypti Population from Minas Gerais, Brazil.

The Chikungunya virus (CHIKV) presents global health challenges, with Brazil experiencing outbreaks since its introduction in 2014. In 2023, following a CHIKV outbreak in Minas Gerais (MG), social media was used to optimize an entomological survey aimed at identifying vectors and viral lineages and assessing insecticide resistance. Following Instagram posts, residents with suspected CHIKV infection were able to schedule mosquito aspirations. In total, 421 mosquitoes (165 Aedes aegypti and 256 Culex quinquefasciatus) were captured from 40 households in Salinas city (MG) and tested for the Dengue, Zika, and Chikungunya viruses through RT-qPCR. Twelve of 57 pools (10 Ae. aegypti and two Cx. quinquefasciatus) tested positive for CHIKV RNA. Viral RNA was also detected in the heads of nine Ae. aegypti, indicating viral dissemination but not in Cx. quinquefasciatus. Genome sequencing yielded the first near-complete genome from the 2023 outbreak, unveiling that the CHIKV strain belonged to the East/Central/South African (ECSA) genotype. Additionally, genetic analyses revealed high frequencies of kdr alleles, including in CHIKV-infected mosquitoes, suggesting resistance to pyrethroid insecticides in this Ae. aegypti population. Social media was important for guiding mosquito-capture efforts in CHIKV transmission hotspots, thus optimizing the opportunity for viral detection. These findings emphasize the urgent need for innovative vector studies and control strategies, as well as interdisciplinary approaches in public health interventions.

Transcription profiling reveals tissue-specific metabolic pathways in the fat body and ovary of the diapausing mosquito Culex pipiens

The northern house mosquito, Culex pipiens, employs diapause as an essential survival strategy during winter, inducing important phenotypic changes such as enhanced stress tolerance, lipid accumulation, and extended longevity. During diapause, the cessation of reproductive development represents another distinctive phenotypic change, underlining the need for adjusted modulation of gene expressions within the ovary. Although considerable advancements in screening gene expression profiles in diapausing and non-diapausing mosquitoes, there remains a gap in tissue-specific transcriptomic profiling that could elucidate the complicated formation of diverse diapause features in Cx. pipiens. Here, we filled this gap by utilizing RNA sequencing, providing a detailed examination of gene expression patterns in the fat body and ovary during diapause compared to non-diapause conditions. Functional annotation of upregulated genes identified associations with carbohydrate metabolism, stress tolerance, immunity, and epigenetic regulation. The validation of candidate genes using quantitative real-time PCR verified the differentially expressed genes identified in diapausing mosquitoes. Our findings contribute novel insights into potential regulators during diapause in Cx. pipiens, thereby opening possible avenues for developing innovative vector control strategies.

New vector transport operators extending a Riemannian CG algorithm to generalized Stiefel manifold with low-rank applications

This paper proposes two innovative vector transport operators, leveraging the Cayley transform, for the generalized Stiefel manifold embedded with a non-standard metric. Specifically, it introduces the differentiated retraction and an approximation of the Cayley transform to the differentiated matrix exponential. These vector transports are demonstrated to satisfy the Ring–Wirth non-expansive condition under non-standard metrics, and one of them is also isometric. Building upon the novel vector transport operators, we extend the modified Polak–Ribière–Polyak (PRP) conjugate gradient method to the generalized Stiefel manifold. Under a non-monotone line search condition, we prove our algorithm globally converges to a stationary point. The efficiency of the proposed vector transport operators is empirically validated through numerical experiments involving generalized eigenvalue problems and canonical correlation analysis.

Advances and challenges in gene therapy strategies for pediatric cancer: a comprehensive update.

Pediatric cancers represent a tragic but also promising area for gene therapy. Although conventional treatments have improved survival rates, there is still a need for targeted and less toxic interventions. This article critically analyzes recent advances in gene therapy for pediatric malignancies and discusses the challenges that remain. We explore the innovative vectors and delivery systems that have emerged, such as adeno-associated viruses and non-viral platforms, which show promise in addressing the unique pathophysiology of pediatric tumors. Specifically, we examine the field of chimeric antigen receptor (CAR) T-cell therapies and their adaptation for solid tumors, which historically have been more challenging to treat than hematologic malignancies. We also discuss the genetic and epigenetic complexities inherent to pediatric cancers, such as tumor heterogeneity and the dynamic tumor microenvironment, which pose significant hurdles for gene therapy. Ethical considerations specific to pediatric populations, including consent and long-term follow-up, are also analyzed. Additionally, we scrutinize the translation of research from preclinical models that often fail to mimic pediatric cancer biology to the regulatory landscapes that can either support or hinder innovation. In summary, this article provides an up-to-date overview of gene therapy in pediatric oncology, highlighting both the rapid scientific progress and the substantial obstacles that need to be addressed. Through this lens, we propose a roadmap for future research that prioritizes the safety, efficacy, and complex ethical considerations involved in treating pediatric patients. Our ultimate goal is to move from incremental advancements to transformative therapies.