Ideal System Research Articles

Carbon Nanotubes: A Targeted Drug Delivery against Cancer Cell

Abstract: Drug delivery in human subjects has been the most difficult task since the ancient time of the medical sector. An ideal drug delivery system is, one that minimizes the adverse effects and maximizes the desired effects of the drug candidate. Various drug delivery systems have been developed that may have some kind of advantages and disadvantages, among them targeted drug delivery system is more preferable and convenient which may employ various nanoparticles or other materials for the drug delivery at the specified site of action. In this, the authors elaborately and comprehensively explained the role of recent carbon nanotubes (CNTs) in targeted drug delivery systems (specifically for targeting cancerous cells). The authors also described the methods of preparation of CNTs, characterization techniques for CNTs, cellular penetration of, CNTs, and the associated toxicities with CNTs. Carbon nanotubes are preferable to other nanoparticles because they are more electrically, mechanically, and organically stable than others, they can carry more amount of drug in comparison to other nanoparticles and their functionalization property makes them more attractive as a carrier molecule for targeting any root cause of the disease.

СУБЪЕКТ В «СИСТЕМЕ ТРАНСЦЕНДЕНТАЛЬНОГО ИДЕАЛИЗМА» Ф.В.Й. ШЕЛЛИНГА

The article examines the features of the early F.W.J. Schelling’s approach tounderstanding subject basing on his work «System of transcendental idealism».The author focuses on the constitutive role of I. Kant’s transcendental ideal inthe making of Schelling’s concept, as well as its connection with ideal and realactivities. Further, he examines how Schelling correlates Kant’s transcendentalunity of apperception with these two activities, thereby revealing a closeconnection between subjectivity and unconsciousness.

Aesthetic Ideas and Art Interpretation in Kant’s Third Critique and Schelling’s ‘System of Transcendental Idealism’

Abstract This paper argues for a metacognitive reading of Kant’s doctrine of ‘aesthetic ideas’, according to which they enjoy the functional role of licensing a theory of art interpretation. I begin by offering a textualist reading of Kant’s doctrine of ‘aesthetic ideas’ and contest the received ‘semantic paradigm’ according to which aesthetic ideas either approximate the form or content of a rational idea. After showing the relationship between aesthetic ideas and artistic interpretation, I assess whether Kant’s theory delivers what we want from a theory of artistic interpretation. I subsequently show how Schelling’s conception of artistic production and reception in the System of Transcendental Idealism (1800) draws from Kant’s doctrine of ‘aesthetic ideas’. After analyzing the relationship between Kant and Schelling’s accounts of art interpretation, I evaluate which account we ought to prefer.

Engineered Microenvironmental Cues from Fiber-Reinforced Hydrogel Composites Drive Tenogenesis and Aligned Collagen Deposition.

Effective tendon regeneration following injury is contingent on appropriate differentiation of recruited cells and deposition of mature, aligned, collagenous extracellular matrix that can withstand the extreme mechanical demands placed on the tissue. As such, myriad biomaterial approaches have been explored to provide biochemical and physical cues that encourage tenogenesis and template aligned matrix deposition in lieu of dysfunctional scar tissue formation. Fiber-reinforced hydrogels present an ideal biomaterial system toward this end given their transdermal injectability, tunable stiffness over a range amenable to tenogenic differentiation of progenitors, and capacity for modular inclusion of biochemical cues. Here, tunable and modular, fiber-reinforced, synthetic hydrogels are employed to elucidate salient microenvironmental determinants of tenogenesis and aligned collagen deposition by tendon progenitor cells. Transforming growth factor β3 drives a cell fate switch toward pro-regenerative or pro-fibrotic phenotypes, which can be biased toward the former by culture in softer microenvironments or inhibition of the RhoA/ROCK activity. Furthermore, studies demonstrate that topographical anisotropy in fiber-reinforced hydrogels critically mediates the alignment of de novo collagen fibrils, reflecting native tendon architecture. These findings inform the design of cell-free, injectable, synthetic hydrogels for tendon tissue regeneration and, likely, that of a range of load-bearing connective tissues.

Redefining the molecular rejection states in 3230 heart transplant biopsies: Relationships to parenchymal injury and graft survival

The first-generation Molecular Microscope (MMDx) system for heart transplant endomyocardial biopsies used expression of rejection-associated transcripts (RATs) to diagnose not only T cell–mediated rejection (TCMR) and antibody-mediated rejection (ABMR) but also acute injury. However, the ideal system should detect rejection without being influenced by injury, to permit analysis of the relationship between rejection and parenchymal injury. To achieve this, we developed a new rejection classification in an expanded cohort of 3230 biopsies: 1641 from INTERHEART (ClinicalTrials.gov NCT02670408), plus 1589 service biopsies added to improve the power of the machine learning algorithms. The new system used 6 rejection classifiers instead of RATs and generated 7 rejection archetypes: No rejection, 48%; Minor, 24%; TCMR1, 2.3%; TCMR2, 2.7%; TCMR/mixed, 2.7%; early-stage ABMR, 3.9%; and fully developed ABMR, 16%. Using rejection classifiers eliminated cross-reactions with acute injury, permitting separate assessment of rejection and injury. TCMR was associated with severe-recent injury and late atrophy-fibrosis and rarely had normal parenchyma. ABMR was better tolerated, seldom producing severe injury, but in later biopsies was often associated with atrophy-fibrosis, indicating long-term risk. Graft survival and left ventricular ejection fraction were reduced not only in hearts with TCMR but also in hearts with severe-recent injury and atrophy-fibrosis, even without rejection.

Dynamics of the charge transfer to solvent process in aqueous iodide

Charge-transfer-to-solvent states in aqueous halides are ideal systems for studying the electron-transfer dynamics to the solvent involving a complex interplay between electronic excitation and solvent polarization. Despite extensive experimental investigations, a full picture of the charge-transfer-to-solvent dynamics has remained elusive. Here, we visualise the intricate interplay between the dynamics of the electron and the solvent polarization occurring in this process. Through the combined use of ab initio molecular dynamics and machine learning methods, we investigate the structure, dynamics and free energy as the excited electron evolves through the charge-transfer-to-solvent process, which we characterize as a sequence of states denoted charge-transfer-to-solvent, contact-pair, solvent-separated, and hydrated electron states, depending on the distance between the iodine and the excited electron. Our assignment of the charge-transfer-to-solvent states is supported by the good agreement between calculated and measured vertical binding energies. Our results reveal the charge transfer process in terms of the underlying atomic processes and mechanisms.

A rapid and sensitive fluorescent chromatography with cloud system for MPXV point-of-care diagnosis

Monkeypox (mpox) is spreading around the world, and its rapid diagnosis is of great significance. In the present study, a rapid and sensitive fluorescent chromatography assisted with cloud system was developed for point-of-care diagnosis of mpox. To screen high affinity antibodies, nanoparticle antigen AaLS-A29 was generated by conjugating A29 onto scaffold AaLS. Immunization with AaLS-A29 induced significantly higher antibody titers and monoclonal antibodies were generated with the immunized mice. A pair of monoclonal antibodies, MXV 14 and MXV 15, were selected for fluorescence chromatography development. The Time-Resolved Fluorescence Immunoassay (TRFIA) was used to develop the chromatography assay. After optimization of the label and concentration of antibodies, a sensitive TRFIA assay with detection limit of 20 pg/mL and good repeatability was developed. The detection of the surrogate Vaccinia virus (VACA) strain Tian Tan showed that the TRFIA assay was more sensitive than the SYBR green I based quantitative PCR. In real samples, the detection result of this assay were highly consistent with the judgement of Quantitative Real-Time PCR (Concordance Rate = 90.48%) as well as the clinical diagnosis (Kappa Value = 0.844, P < 0.001). By combining the portable detection and online cloud system, the detection results could be uploaded and shared, making this detection system an ideal system for point-of-care diagnosis of mpox both in field laboratory and outbreak investigation.

The human adenovirus PI3K-Akt activator E4orf1 is targeted by the tumor suppressor p53.

Human adenoviruses (HAdV) are classified as DNA tumor viruses due to their potential to mediate oncogenic transformation in non-permissive mammalian cells and certain human stem cells. To achieve transformation, the viral early proteins of the E1 and E4 regions must block apoptosis and activate proliferation: the former predominantly through modulating the cellular tumor suppressor p53 and the latter by activating cellular pro-survival and pro-metabolism protein cascades, such as the phosphoinositide 3-kinase (PI3K-Akt) pathway, which is activated by HAdV E4orf1. Focusing on HAdV-C5, we show that E4orf1 is necessary and sufficient to stimulate Akt activation through phosphorylation in H1299 cells, which is not only hindered but repressed during HAdV-C5 infection with a loss of E4orf1 function in p53-positive A549 cells. Contrary to other research, E4orf1 localized not only in the common, cytoplasmic PI3K-Akt-containing compartment, but also in distinct nuclear aggregates. We identified a novel inhibitory mechanism, where p53 selectively targeted E4orf1 to destabilize it, also stalling E4orf1-dependent Akt phosphorylation. Co-IP and immunofluorescence studies showed that p53 and E4orf1 interact, and since p53 is bound by the HAdV-C5 E3 ubiquitin ligase complex, we also identified E4orf1 as a novel factor interacting with E1B-55K and E4orf6 during infection; overexpression of E4orf1 led to less-efficient E3 ubiquitin ligase-mediated proteasomal degradation of p53. We hypothesize that p53 specifically subverts the pro-survival function of E4orf1-mediated PI3K-Akt activation to protect the cell from metabolic hyper-activation or even transformation.IMPORTANCEHuman adenoviruses (HAdV) are nearly ubiquitous pathogens comprising numerous subtypes that infect various tissues and organs. Among many encoded proteins that facilitate viral replication and subversion of host cellular processes, the viral E4orf1 protein has emerged as an intriguing yet under-investigated player in the complex interplay between the virus and its host. Nonetheless, E4orf1 has gained attention as a metabolism activator and oncogenic agent, while recent research is showing that E4orf1 may play a more important role in modulating the cellular pathways such as phosphoinositide 3-kinase-Akt-mTOR. Our study reveals a novel and general impact of E4orf1 on host mechanisms, providing a novel basis for innovative antiviral strategies in future therapeutic settings. Ongoing investigations of the cellular pathways modulated by HAdV are of great interest, particularly since adenovirus-based vectors actually serve as vaccine or gene vectors. HAdV constitute an ideal model system to analyze the underlying molecular principles of virus-induced tumorigenesis.

An investigation of the influence of various factors on the electrical performance of a (CuGaS2) -based thin-film solar cell using SCAPS-1D software

Applying photovoltaics to harvest solar energy is in high demand at the global level. In this study, the modeling tool SCAPS-1D is used to design the cell structure with indium sulfide as a buffer layer, Copper gallium sulfide (CuGaS2) semiconductor compound as the absorber layer, and un-doped and n-doped zinc oxide as the window layer. This study aims to establish an optimal absorber and buffer layer thickness for CuGaS2 thin film solar cells. Among three-generation solar cells, copper gallium sulfide-based photovoltaic cells have grown wider. Indium sulphide is a novel film absorber with good physical characteristics and a band gap energy of 2.4 eV. CuGaS2 thin film performance with various buffer and absorber layer thicknesses for solar cell applications is numerically modeled. This work obtained a thickness range of 50–125 nm and 1000–5000 nm for the buffer and absorber layers, respectively. It also founds an ideal PV system with an efficiency of 10.09% (JSC = 5.30 mA/cm2, VOC = 2.88 V and FF = 67.09%). These modeling results will provide some essential guidelines for making more effective CuGaS2 based solar cells.

An online survey capturing the views of stakeholders on primary school food systems across the four UK nations

BackgroundIn 2020, the Generating Excellent Nutrition in UK Schools (GENIUS) Network was established to develop an understanding of the school food system across the four UK nations. This study explores stakeholders’ views (headteachers, teachers, parents and pupils) on what works well, the challenges, and what an ideal primary school food system includes.MethodsAn online ‘School Food Survey’ was created in Qualtrics XM including closed and open-ended questions about the primary school food system. The Qualtrics link was distributed to stakeholders with an interest in school food through key contacts and networks across the four UK nations (21st June to 21st July and September 2021). Responses from the open-ended questions were exported from Qualtrics into Excel and analysed using SPSS. Aspects of qualitative content analysis were applied to summarise, code and quantify responses. Identified codes were entered by stakeholder, for example, parents and their response to the question into a Matrix table to allow identification of categories, themes and interpretation.ResultsA total of 509 participants completed the survey: most participants were from Scotland (n = 281; 55%) and England (n = 213; 42%) and were parents (n = 394). There were some consistent views across stakeholder responses, for example, the range of healthy options, costs, and portion sizes offered to pupils. Parents views varied, with some expressing the range of healthy options worked well and others reporting too many unhealthy choices. The cost of school food and school food funding presented challenges for both parents and schools. For parents, an ideal school food system would include a wide variety of fresh healthy food choices that were made on site, use quality produce, be inclusive for all cultures and diets, and provide food portion sizes appropriate for pupils ages.ConclusionsThe findings iterate the diversity and some inconsistencies between stakeholders, emphasising the complexity and competing tensions school food systems encounter. Parental involvement and consideration of school-level and national factors are important when identifying challenges, what works well and describing an ideal primary school food system.

Hydrogen-electricity coupling energy storage systems: Models, applications, and deep reinforcement learning algorithms

With the maturity of hydrogen storage technologies, hydrogen-electricity coupling energy storage in green electricity and green hydrogen modes is an ideal energy system. The construction of hydrogen-electricity coupling energy storage systems (HECESSs) is one of the important technological pathways for energy supply and deep decarbonization. In a HECESS, hydrogen storage can maintain the energy balance between supply and demand and increase the utilization efficiency of energy. However, its scenario models in power system establishment and the corresponding solution methods still need to be studied in depth. For accelerating the construction of HECESSs, firstly, this paper describes the current applications of hydrogen storage technologies from three aspects: hydrogen production, hydrogen power generation, and hydrogen storage. Secondly, based on the complementary synergistic mechanism of hydrogen energy and electric energy, the structure of the HECESS and its operation mode are described. To study the engineering applications of HECESSs more deeply, the recent progress of HECESS application at the source, grid, and load sides is reviewed. For the application of the models of hydrogen storage at the source/grid/load side, the selection of the solution method will affect the optimal solution of the model and solution efficiency. As solving complex multi-energy coupling models using traditional optimization methods is difficult, the paper therefore explored the advantages of deep reinforcement learning (DRL) algorithms and their applications in HECESSs. Finally, the technical application in the construction of new power systems supported by HECESSs is prospected. The study aims to provide a reference for the research on hydrogen storage in power systems.

Sentinel protist taxa of the McMurdo Dry Valley lakes, Antarctica: a review

High-latitude meromictic lakes such as those in the Antarctic McMurdo Dry Valleys (MDV) harbor aquatic ecosystems dominated by the microbial loop. Within this habitat, which is limited year-round by light and nutrients, protists, or single celled eukaryotes, play outsized roles in the food web as the dominant primary producers and the apex predators. Thus, the MDV lake ecosystem represents an ideal system to study the role of sentinel protist taxa in carbon and nutrient cycling. The perennially ice-covered lakes are part of the McMurdo Long Term Ecological Research (McM LTER; mcmlter.org) established in 1993. In this review we will highlight the diversity and trophic roles of the MDV lake protist community and compare environmental factors driving spatiotemporal patterns in key protist taxa in two lakes within the McM LTER, Lakes Bonney and Fryxell. We will then discuss lessons learned from manipulated experiments on the impact of current and future climate-driven environmental change on sensitive protist taxa. Last, we will integrate knowledge gained from 25 years of lab-controlled experiments on key photosynthetic protists to extend our understanding of the function of these extremophiles within the MDV aquatic food webs. Our research group has studied the distribution and function of the MDV microbial community for nearly two decades, training the next generation of scientists to tackle future problems of these globally significant microbes. This review article will also highlight early career scientists who have contributed to this body of work and represent the future of scientific understanding in the Anthropocene.

Modelling the Demand for Indonesia’s Foreign Reserves

Abstract The foreign reserves sufficiency is important to maintain macroeconomic stability. The main objective of this paper is to model the behaviour of the central bank in accumulating the foreign reserves in the case of Indonesia. Unlike the previous empirical studies, this paper disaggregates the components of foreign reserves into foreign currency, securities, gold, and special drawing rights. This paper relies on the Almost Ideal Demand System combined with the Error Correction Model. The estimation result for monthly data over the period 2010(1)-2020(12) reveals that the own-price coefficients are negative and statistically significant which is consistent with the standard theory of demand. While the foreign currency-securities pairwise is substitutive, the foreign currency-gold and the foreign currency-special drawing rights pairwise are complementary or even independent. However, the wealth effect is inelastic except for securities reserves. These results imply that the central bank of Indonesia can re-balance its reserves. The securities holding which have the highest proportion of foreign reserve scan be switched to foreign currency, gold, and/or special drawing rights. The rebalancing measures would remain having an optimal level of foreign reserves holding in terms of its opportunity cost. Therefore, the monetary authority can conduct a further macroeconomic stabilisation without substantially losing the returns.

The past, present, and future of predator-prey interactions in a warming world: Using species distribution modeling to forecast ectotherm-endotherm niche overlap.

Climate change has the potential to disrupt species interactions across global ecosystems. Ectotherm-endotherm interactions may be especially prone to this risk due to the possible mismatch between the species in physiological response and performance. However, few studies have examined how changing temperatures might differentially impact species' niches or available suitable habitat when they have very different modes of thermoregulation. An ideal system for studying this interaction is the predator-prey system. In this study, we used ecological niche modeling to characterize the niche overlap and examine biogeography in past and future climate conditions of prairie rattlesnakes (Crotalus viridis) and Ord's kangaroo rats (Dipodomys ordii), an endotherm-ectotherm pair typifying a predator-prey species interaction. Our models show a high niche overlap between these two species (D = 0.863 and I = 0.979) and further affirm similar paleoecological distributions during the last glacial maximum (LGM) and mid-Holocene (MH). Under future climate change scenarios, we found that prairie rattlesnakes may experience a reduction in overall suitable habitat (RCP 2.6 = -1.82%, 4.5 = -4.62%, 8.5 = -7.34%), whereas Ord's kangaroo rats may experience an increase (RCP 2.6 = 9.8%, 4.5 = 11.71%, 8.5 = 8.37%). We found a shared trend of stable suitable habitat at northern latitudes but reduced suitability in southern portions of the range, and we propose future monitoring and conservation be focused on those areas. Overall, we demonstrate a biogeographic example of how interacting ectotherm-endotherm species may have mismatched responses under climate change scenarios and the models presented here can serve as a starting point for further investigation into the biogeography of these systems.

Minimum work associated with separating nitrogen from air: An exergy analysis

Background Nitrogen is essential for a variety of industries, including heat treatment, laser cutting, fire protection, and food packaging. Many companies in these industries obtain nitrogen via on-premises air separation processes. The three main processes for separating nitrogen from ambient air are cryogenic distillation, membrane separation, and pressure-swing adsorption (PSA). Improvements to these processes will likely focus on increasing efficiency, resulting in reduced environmental impact owing to less electrical power demand and opportunities for economic incentives. Regardless of the process utilized, a minimum theoretical amount of work input is required to obtain nitrogen gas at different pressures and concentrations compared to ambient conditions. Methods An equation was derived to evaluate the total exergy (including thermo-mechanical and chemical exergy) of product and exhaust mixtures resulting from air separation, indicating the minimum theoretical work input as a function of the product pressure, purity, and process recovery rate. This analysis considered an air separation system as a black box, with the input, output, and exhaust assumed to be ideal gas mixtures of nitrogen and oxygen at 15°C. The analysis applies to cryogenic distillation if the product and exhaust mixtures return to the gas phase. Results In general, the minimum required work input increases with product purity and recovery rate. Plots of minimum theoretical work versus product purity and recovery rate were made for two product pressures (atmospheric and 800 kPa) to show the behavior of the derived equation. Conclusions The analysis allows for direct efficiency (based on the second law of thermodynamics) comparisons between existing processes and future technological innovations in the field of air separation. Actual air separation systems have low efficiencies compared to ideal systems; actual PSA systems were estimated to have second law efficiencies of 5.5–11.2%. Therefore, there is great potential for improvements to current air separation systems.

Design of Rotary Motor Wiring Diagram for Tugboat Ship Maneuvering System Using Cam Switch Control

The maneuverability of tugboats is very necessary for narrow turning areas, so many tugboat maneuvering systems use motors which are currently applied with cam switches. It is important to plan a wiring system to anticipate disruptions to distribution electricity. Therefore, the electricity supply for the equipment can be met and run as expected. The aim of this research is to obtain rotary motor wiring diagram system for tugboat ship maneuvering system using cam switch control. The R&amp;D (Research and Development) method combined with experiments was carried out to obtain an ideal rotary motor wiring diagram system based on the dimensions of the tugboat's engine room. In forward rotation for this motor is a decrease before stabilization occurs, the voltage is 18% meanwhile, reverse rotation experienced a decrease of 32%. This difference with motor if workload which is charged which also experiences variations, for forward rotation the increase is 48%, also for reverse rotation it is 43%.

Calculation and Analysis of Key Parameters of Underwater Optical Imaging System.

When photographing objects underwater, it is important to utilize an optical window to isolate the imaging device from the water. The properties of the entire imaging system will change, and the imaging quality will decrease due to the refraction impact of the water and the window. The theoretical calculation method for air imaging is no longer relevant in this context. To analyze the unique rule, this research derives the formulas for key parameters of underwater imaging systems under paraxial circumstances. First, the optical window is modeled, then the formula for the optical window's focal length in the underwater environment is derived, and the change rule for the focal length of various window forms underwater is condensed. For the ideal imaging system using a domed optical window, the equivalent two-optical group model of the imaging system is established, and the formula for calculating the focal length, working distance, and depth of field of the underwater imaging system is derived through paraxial ray tracing. The accuracy of the formula is verified through the comparative analysis of the formula calculation results and the Zemax modeling simulation results. It provides an important theoretical basis for the in-depth study of underwater imaging technology.

Effect of institutional quality on FDI inflows in South Asian and Southeast Asian countries

Foreign Direct Investment (FDI) plays a pivotal role in the economic development of countries and institutional quality encompassing aspects such as political stability, regulatory environment, and the rule of law, plays a vital role in attracting and retaining foreign investment. This study investigates the impact of institutional quality on the level of FDI inflows in the South Asian and Southeast Asian countries over the period 2002–2019. We have constructed an institutional quality index by using Principal Component Analysis (PCA) on six governance indicators. Iterated generalized least squares (I-GLS) in the fixed effect model has been employed for the estimation of the results. The results show that the institutional quality index has a positive and significant impact on the FDI inflows in both the regions. This implies that an ideal governance system comprising of low corruption, political stability, absence of violence, voice and accountability, regulatory quality and proper judicial system helps to attract FDI inflows in the South Asian and Southeast Asian countries. It also has positive spillovers to other economic activities such as GDP growth, international trade and financial development that are vital for economic growth and development.

Flying towards the Future: Using Drones to Detect Lizards in Remote Alpine Terrain

Climate change is exerting significant impacts on ecosystems worldwide, with alpine regions being particularly vulnerable. Alpine fauna is relatively poorly understood, particularly in terrain which is difficult for humans to survey. Knowledge of alpine species is further limited by a paucity of survey techniques that are widely applicable in this environment. Drones have potential as a low-impact tool for surveying fauna in remote alpine terrain. New Zealand’s diverse alpine lizards are an ideal system for exploring novel survey techniques. We build on previous research demonstrating the potential of drones for surveying alpine lizards by evaluating (1) how closely a drone can approach different alpine lizard species in scree, talus, and tussock-grassland habitats and (2) the effectiveness of drone surveys compared to traditional systematic visual searches for these species and habitats. The drone (model: DJI Mavic Air 2) was able to approach within 0.1–2.5 m of a lizard (mean = 0.77 m) before triggering a flight response. Systematic visual searches outperformed drone surveys in all habitats accessible to human observers. However, drones were relatively effective in talus habitats, demonstrating their potential utility in inaccessible rocky alpine habitats. Improvements to drone technology may further enhance the utility of drone-based surveys in ecological research.

Modulating the solvation structure and electrode interface through phosphate additive for highly reversible zinc metal anode

Aqueous zinc-ion batteries (ZIBs) are considered one of the ideal battery systems for large-scale energy storage. However, ZIBs usually show a limited cycle life due to side reactions and dendrite growth at Zn anode. In this study, an ultra-trace amount of β-glycerophosphate sodium (β-GADS) was employed as an additive in aqueous electrolyte to enable highly reversible Zn plating/stripping. For the first time, we show that the phosphate groups in β-GADS could participate in the cation solvation structure, which is more favorable for the de-solvation and diffusion of Zn2+. Moreover, phosphate can absorb on the surface of Zn, and Na+ tend to accumulate at the surface protrusions to form an electrostatic shield that prevent formation of dendrites. Benefitting from the triply synergistic effects of the β-GADS additive, the Zn anode shows the inhibition of dendrites, hydrogen evolution reaction, corrosion reactions, and the formation of by-products. Operated based on 2 M ZnSO4 electrolyte with β-GADS additive, Zn||Zn symmetric cells demonstrated stable cycling for over 1,900 h at 0.5 mA cm−2 and over 1,200 h at a high current density of 5 mA cm−2. The Zn||(NH4)2V7O16·3.2H2O full cell with the above electrolyte also delivered a high capacity and excellent stability for over 1,000 cycles.