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The phenomenon of arc compression in TIG welding with high-frequency longitudinal magnetic field (HF-LMF) has been observed. However, its mechanism remains unclear, and there is a lack of numerical investigation. This work presents a two-dimension axisymmetrical model of arc plasma in high-frequency longitudinal magnetic field based on the magnetohydrodynamics (MHD). The distributions of temperature, velocity and pressure of arc plasma in HF-LMF are investigated at different applied LMF frequencies ranging from 0 to 5000 Hz. In order to make the simulation results more convincing, the induced current and the electric force were considered. The results show that the HF-LMF could generate a circumferential electric field, causing particles rotating. However, since HF-LMF is variable, the direction of the electric field also changes, which causes the arc to rotate back and forth. When the frequency of HF-LMF reaches 2000 Hz, the negative pressure zone above the center of the anode disappeared and the arc was compressed. Thus, as the frequency of LMF increases, the distribution of current density, anodic heat flux, and arc pressure changes from a bimodal distribution to a unimodal distribution, and the peak value increases. The theoretical predictions were in good agreement with the experimental results.

Respiratory syncytial virus (RSV) is a leading cause of lower respiratory tract infection (LRTI). However, few comprehensive descriptions of the disease burden, medical resource utilization (MRU), and costs of RSV are available for China. This study aimed to provide the basis for the development of RSV prevention strategies by analyzing the burden of RSV among inpatients with lower respiratory tract infection under 5 years of age.

To ensure optimal penetration in direct current (DC) argon tungsten arc welding, a method was proposed to recognize the molten pool penetration during molten pool oscillation under alternating cusp-shaped magnetic field (ACSMF). An arc discharge model is established to analyze the oscillation mechanism of the molten pool under ACSMF. The periodic variation of arc shape induces the periodic oscillation to establish a mapping relationship with the fluctuation of arc voltage waveform. At the excitation current of 3 A and frequency of 10 Hz, the arc voltage waveform undergoes abrupt changes at 1.26 V and 1.37 V, corresponding to the critical and the full penetration states, respectively. The errors in identifying moving penetration are 0.8 % and 0.7 %, with a full penetration weld, demonstrating a penetration rate of 100 %, indicating effective penetration recognition. Arc sensing technology for tungsten inert gas (TIG) welding under ACSMF is poised for gradual application in single-side welding and double-side forming of medium and thick plates. It is anticipated to evolve towards real-time identification technology for molten pool penetration monitoring.

Cognitive and behavioral rigidity are observed in various psychiatric diseases, including in autism spectrum disorder (ASD). However, the underlying mechanism remains to be elucidated. In this study, we found that neuroligin-3 (NL3) R451C knockin mouse model of autism (KI mice) exhibited deficits in behavioral flexibility in choice selection tasks. Single-unit recording of medium spiny neuron (MSN) activity in the nucleus accumbens (NAc) revealed altered encoding of decision-related cue and impaired updating of choice anticipation in KI mice. Additionally, fiber photometry demonstrated significant disruption in dynamic mesolimbic dopamine (DA) signaling for reward prediction errors (RPEs), along with reduced activity in medial prefrontal cortex (mPFC) neurons projecting to the NAc in KI mice. Interestingly, NL3 re-expression in the mPFC, but not in the NAc, rescued the deficit of flexible behaviors and simultaneously restored NAc-MSN encoding, DA dynamics, and mPFC-NAc output in KI mice. Taken together, this study reveals the frontostriatal circuit dysfunction underlying cognitive inflexibility and establishes a critical role of the mPFC NL3 deficiency in this deficit in KI mice. Therefore, these findings provide new insights into the mechanisms of cognitive and behavioral inflexibility and potential intervention strategies.

Hepatocellular carcinoma (HCC) is one of the most fatal malignancies. Early diagnosis of HCC is crucial in reducing the risk for mortality. This study analyzed a panel of nine fusion transcripts in serum samples from 61 patients with HCC and 75 patients with non-HCC conditions, using TaqMan real-time quantitative RT-PCR. Seven of the nine fusions frequently detected in patients with HCC included: MAN2A1–FER(100%), SLC45A2–AMACR(62.3%), ZMPSTE24–ZMYM4(62.3%), PTEN–NOLC1(57.4%), CCNH–C5orf30(55.7%), STAMBPL1–FAS(26.2%), and PCMTD1–SNTG1(16.4%). Machine-learning models were constructed based on serum fusion-gene levels to predict HCC in the training cohort, using the leave-one-out cross-validation approach. One machine-learning model, called the four fusion genes logistic regression model (MAN2A1–FER≤40, CCNH–C5orf30≤38, SLC45A2–AMACR≤41, and PTEN–NOLC1≤40), produced accuracies of 91.5% and 83.3% in the training and testing cohorts, respectively. When serum α-fetal protein level was incorporated into the machine-learning model, a two fusion gene (MAN2A1–FER≤40, CCNH–C5orf30≤38) + α-fetal protein logistic regression model was found to generate an accuracy of 94.8% in the training cohort. The same model resulted in 95% accuracy in both the testing and combined cohorts. Cancer treatment was associated with reduced levels of most of the serum fusion transcripts. Serum fusion-gene machine-learning models may serve as important tools in screening for HCC and in monitoring the impact of HCC treatment.

Multidrug-resistant tuberculosis (MDR-TB) has become a critical challenge to public health, and the prevention and treatment of MDR-TB are of great significance in reducing the global burden of tuberculosis. How to improve the effectiveness and safety of chemotherapy for MDR-TB is a pressing issue that needs to be addressed in tuberculosis control efforts. This article provides a comprehensive review of the clinical application of new antituberculosis drugs in MDR-TB, aiming to provide a scientific basis for the prevention and treatment strategy of MDR-TB.

Mixing multiple cations can result in a significant configurational entropy, offer a new compositional space with vast tunability, and introduce new computational challenges. For applications such as the two-step solar thermochemical hydrogen (STCH) generation techniques, we demonstrate that using density functional theory (DFT) combined with Metropolis Monte Carlo method (DFT-MC) can efficiently sample the possible cation configurations in compositionally complex perovskite oxide (CCPO) materials, with (La0.75Sr0.25)(Mn0.25Fe0.25Co0.25Al0.25)O3as an example. In the presence of oxygen vacancies (VO), DFT-MC simulations reveal a significant increase of the local site preference of the cations (short-range ordering), compared to a more random mixing without VO. Co is found to be the redox-active element and the VOis the preferentially generated next to Co due to the stretched Co–O bonds. A clear definition of the vacancy formation energy (Evf) is proposed for CCPO in an ensemble of structures evolved in parallel from independent DFT-MC paths. By combining the distribution of Evfwith VOinteractions into a statistical model, the oxygen nonstoichiometry (δ), under the STCH thermal reduction and oxidation conditions, is predicted and compared with the experiments. Similar to the experiments, the predicted δ can be used to extract the enthalpy and entropy of reduction using the van’t Hoff method, providing direct comparisons with the experimental results. This procedure provides a full predictive workflow for using DFT-MC to obtain possible local ordering or fully random structures, understand the redox activity of each element, and predict the thermodynamic properties of CCPOs, for computational screening and design of these CCPO materials at STCH conditions.

Lead poisoning is globally concerning, yet limited testing hinders effective interventions in most countries. We aimed to create annual maps of county-specific blood lead levels in China from 1980 to 2040 using a machine learning model. Blood lead data from China were sourced from 1180 surveys published between 1980 and 2022. Additionally, regional statistical figures for 15 natural and socioeconomic variables were obtained or estimated as predictors. A machine learning model, using the random forest algorithm and 2973 generated samples, was created to predict county-specific blood lead levels in China from 1980 to 2040. Geometric mean blood lead levels in children (i.e., age 14 and under) decreased significantly from 104.4 µg/L in 1993 to an anticipated 40.3 µg/L by 2040. The number exceeding 100 µg/L declined dramatically, yet South Central China remains a hotspot. Lead exposure is similar among different groups, but overall adults and adolescents (i.e., age over 14), females, and rural residents exhibit slightly lower exposure compared to that of children, males, and urban residents, respectively. Our predictions indicated that despite the general reduction, one-fourth of Chinese counties rebounded during 2015–2020. This slower decline might be due to emerging lead sources like smelting and coal combustion; however, the primary factor driving the decline should be the reduction of a persistent source, legacy gasoline-derived lead. Our approach innovatively maps lead exposure without comprehensive surveys.

ABSTRACTBay areas have experienced a rapid development in their city integration and tourism industry over the past decade. However, city integration has rarely been studied in the tourism literature along with its dimensions and impact on tourism development. Therefore, this study examines city integration and its effects on tourism development from the perspective of residents in the Greater Bay Area, China. Through a qualitative research method with 73 semi-structured interviews, this study identified five dimensions of the effects of city integration on tourism development were also determined, including resource, community, product, marketing and economic dimensions. The theoretical contributions and practical implications of the findings were also discussed.

Uncontrolled hyperuricemia often leads to the development of hyperuricemic nephropathy (HN), characterized by excessive inflammation and oxidative stress. Piperine, a cinnamic acid alkaloid, possesses various pharmacological activities, such as antioxidant and anti-inflammatory effects. In this study, we intended to investigate the protective effects of piperine on adenine and potassium oxonate-induced HN mice and a uric-acid-induced injury model in renal tubular epithelial cells (mRTECs). We observed that treatment with piperine for 3 weeks significantly reduced serum uric acid levels and reversed kidney function impairment in mice with HN. Piperine (5 μM) alleviated uric acid-induced damage in mRTECs. Moreover, piperine inhibited transporter expression and dose-dependently inhibited the activity of both transporters. The results revealed that piperine regulated the AKT/mTOR signaling pathway both in vivoand in vitro. Overall, piperine inhibits URAT1/GLUT9 and ameliorates HN by inhibiting the AKT/mTOR pathway, making it a promising candidate for patients with HN.

An amyloid-β (Aβ) fibril is a vital pathogenic factor of Alzheimer’s disease (AD). Aβ fibril disintegrators possess great potential to be developed into novel anti-AD agents. Here, a ligand fishing method was employed to rapidly discover Aβ42fibril disintegrators from Ganoderma lucidumusing Aβ42fibril-immobilized magnetic beads, which led to the isolation of six Aβ42fibril disintegrators including ganodermanontriol, ganoderic acid DM, ganoderiol F, ganoderol B, ganodermenonol, and ergosterol. Neuroprotective evaluation in vitroexhibited that these Aβ42fibril disintegrators could significantly mitigate Aβ42-induced neurotoxicity. Among these six disintegrators, ergosterol and ganoderic acid DM with stronger protecting activity were further selected to evaluate their neuroprotective effect on AD in vivo. Results showed that ergosterol and ganoderic acid DM could significantly alleviate Aβ42-induced cognitive dysfunction and hippocampus neuron loss in vivo. Moreover, ergosterol and ganoderic acid DM could significantly inhibit Aβ42-induced neuron apoptosis and Nrf2-mediated neuron oxidative stress in vitroand in vivo.

Physalis angulatavar. villosais a plant possessing abundant withanolides, but in-depth research is lacking. In our ongoing study of P. angulatavar. villosa, 15 previously undescribed withanolides (1–15), along with 21 known analogs (16–36), were isolated from the whole plant. The structures of the withanolides (1–15) were elucidated based on analysis of their 1D and 2D NMR, HRESIMS, and ECD data. Additionally, the application of γ-gauche effects with the help of ROESY correlations led to the formulation of empirical rules for withanolides with 14-OH/15-OAc to rapidly determine the 14-OH orientations, making it possible to propose configurational revisions of 19 previously reported analogs (1′–19′). Withanolides 1, 4–6, and 10showed potent cytotoxic activities against three human cancer cell lines (HCT-116, MDA-MB-231, and A549).

A smart portable sensor with ratio and dual-mode for in situ determination of nicotine (NIC) in tobacco leaves was reported. Activated screen-printed carbon electrode (SPCE) was used as a sensing platform. Paracetamol (PA) was used as a ratiometric reference. Current and potential dual-signal output was applied as dual-mode. The scanning electron microscope, energy dispersive spectroscopy, cyclic voltammetry, electrochemical impedance spectroscopy, square-wave voltammetry, and NIC morphological fitting and theoretical calculation were used to study the sensor. Under the amperometric mode, the linear range of NIC is 10– $800 ~\mu $ mol/L, and the detection limit is $1.72 ~\mu $ mol/L (S/N = 3). And under the potential mode, the linear range of NIC is 10– $500 ~\mu $ mol/L, and the detection limit is $0.02 ~\mu $ mol/L (S/N = 3). In addition, the proposed sensor has been applied to in situ determination of NIC in tobacco leaves with acceptable relative derivation ranging from 5.04% to 7.63% between the sensor and high-performance liquid chromatography.

Creating long-lasting memories requires learning-induced changes in gene expression, which are impacted by epigenetic modifications of DNA and associated histone proteins. Post-translational modifications (PTMs) of histones are key regulators of transcription, with different PTMs producing unique effects on gene activity and behavior. Although recent studies implicate histone variants as novel regulators of memory, effects of PTMs on the function of histone variants are rarely considered. We previously showed that the histone variant H2A.Z suppresses memory, but it is unclear if this role is impacted by H2A.Z acetylation, a PTM that is typically associated with positive effects on transcription and memory. To answer this question, we used a mutation approach to manipulate acetylation on H2A.Z without impacting acetylation of other histone types. Specifically, we used adeno-associated virus (AAV) constructs to overexpress mutated H2A.Z.1 isoforms that either mimic acetylation (acetyl-mimic) by replacing lysines 4, 7 and 11 with glutamine (KQ), or H2A.Z.1 with impaired acetylation (acetyl-defective) by replacing the same lysines with alanine (KA). Expressing the H2A.Z.1 acetyl-mimic (H2A.Z.1KQ) improved memory under weak learning conditions, whereas expressing the acetyl-defective H2A.Z.1KAgenerally impaired memory, indicating that the effect of H2A.Z.1 on memory depends on its acetylation status. RNA sequencing showed that H2A.Z.1KQand H2A.Z.1KAuniquely impact the expression of different classes of genes in both females and males. Specifically, H2A.Z.1KApreferentially impacts genes involved in synaptic function, suggesting that acetyl-defective H2A.Z.1 impairs memory by altering synaptic regulation. Finally, we describe, for the first time, that H2A.Z is also involved in alternative splicing of neuronal genes, whereby H2A.Z depletion, as well as expression of H2A.Z.1 lysine mutants influence transcription and splicing of different gene targets, suggesting that H2A.Z.1 can impact behavior through effects on both splicing and gene expression. This is the first study to demonstrate that direct manipulation of H2A.Z post-translational modifications regulates memory, whereby acetylation adds another regulatory layer by which histone variants can fine tune higher brain functions through effects on gene expression and splicing.

A tandem Wheatstone bridge low-pressure (TWBLP) sensor with high sensitivity which can be widely used in medical and industrial fields has been designed and fabricated. Compared with the conventional low-pressure (CLP) sensor, the TWBLP sensor membrane is arranged with eight piezoresistors, which are formed into two Wheatstone bridges. They achieved the detection of membrane stress with different positions and different directions. The output ports of the two Wheatstone bridges are connected in tandem to realize the non-interference superposition of the output electric potential, thus improving the sensitivity of the sensor. The structure of the sensor membrane and the position of the piezoresistors are optimized using the finite element analysis (FEA). The TWBLP sensor is simple in structure design and easy to produce in large quantities, with the advantage of high sensitivity, which can provide tiny pressure measurement results for pressure measurement in related fields. In the laboratory environment, the local atmospheric pressure is used as the reference zero point to calibrate the sensor. The test results show that the sensitivity of the TWBLP sensor is 26.20% higher than that of the CLP sensor. For the measurement range from −10 to 10 kPa, the fabricated sensor achieves a high sensitivity of 23.07 mV/kPa and an accuracy of 0.19%F.S.

The chondrogenic differentiation of mesenchymal stem cells (MSCs) to enhance cartilage repair and regeneration is a promising strategy to alleviate osteoarthritis (OA) progression.

Multifunctionalization from the interception of active intermediates is an attractive synthetic strategy for the efficient construction of complex molecular scaffolds in an atom and step economic fashion. However, the design of reactions involving metal carbynoids that exhibit carbene/carbocation behavior is currently limited, and developing catalyst-controlled highly enantioselective versions poses significant challenges. In this study, we present the first asymmetric trifunctionalization reactions with rhodium carbynoids. This reaction unveils the distinctive reactivity of the carbynoid precursor, enabling it to react with simultaneously two nucleophiles and one electrophile. This process involves the formation of two distinct carbene ylides with the alcohol/carbamate and the trapping of one ylide with the imine, resulting in the formation of three new bonds. Furthermore, this strategy allows for the divergent synthesis of a wide array of β-amino esters in high yields and exceptional enantioselectivity.

The hydrocarbon in the basinal basement mostly occurs in the topmost of buried hills along the unconformity, while we present a special play in architecture with the oil-bearing in the lower geomorphic position at the Penglai buried hill. Based on the cores, thin sections, whole rock X-ray, physical property, well logging, and seismic data, we investigated the characteristics of the reservoirs of the Penglai oilfield and discussed the controlling of strike-slip activity, weathering, and lithology on the reservoir in this paper. The results show that the Penglai buried hill reservoirs were mainly distributed in the fractured and weathered granites. The quality of the reservoir is related to mechanics and weathering dissolution behavior among different rocks. The strong dextral strike-slip activity of the Tanlu strike-slip fault zone during the Paleogene resulted in the strong uplift of the Penglai buried hill and also provided the stress condition for tectonic fractures to develop. The dissolution of atmospheric water along the tectonic fractures further improved the reservoir’s physical properties during the nearly 30Ma exposure interval. Compared to granite rocks, mica quartz schist, with higher content of the femic mineral and lower content of feldspar, presents lower brittleness and less soluble minerals. Therefore, the relatively stronger of weathering resistance of mica quartz schist resulted in a higher ring-landform in buried hill geomorphology which surrounds the granite intrusion, controlling the special oil play in architecture with hydrocarbon accumulated in the lower-seated granite reservoir underlying the unconformity.

Plasmas can generate ultra-high-temperature reactive environments that can be used for the synthesis and processing of a wide range of materials1,2. However, the limited volume, instability and non-uniformity of plasmas have made it challenging to scalably manufacture bulk, high-temperature materials3–8. Here we present a plasma set-up consisting of a pair of carbon-fibre-tip-enhanced electrodes that enable the generation of a uniform, ultra-high temperature and stable plasma (up to 8,000 K) at atmospheric pressure using a combination of vertically oriented long and short carbon fibres. The long carbon fibres initiate the plasma by micro-spark discharge at a low breakdown voltage, whereas the short carbon fibres coalesce the discharge into a volumetric and stable ultra-high-temperature plasma. As a proof of concept, we used this process to synthesize various extreme materials in seconds, including ultra-high-temperature ceramics (for example, hafnium carbonitride) and refractory metal alloys. Moreover, the carbon-fibre electrodes are highly flexible and can be shaped for various syntheses. This simple and practical plasma technology may help overcome the challenges in high-temperature synthesis and enable large-scale electrified plasma manufacturing powered by renewable electricity.

• Surface premelting induced dual-SC bonding of LGS substrates is realize with a low compression of 50 kPa. • A record bonding strength of 23.28 MPa is achieved. • TEM analysis shows the relation between bonding strength and the interfacial bonding structure. Langasite (LGS, La 3 Ga 5 SiO 14) is a promising material in high-temperature piezoelectric devices due to its excellent thermal stability, piezoelectricity, and electrical property. A major challenge in the development of LGS-based devices is to form high-strength bonding of the brittle LGS. Here, we report that the single crystal-single crystal (dual-SC) bonding of LGS is realized through thermal activation under a low compression of 50 kPa for the first time. A record bonding strength of 23.28 MPa is achieved within the dual-SC bonded LGS/LGS structure (with a high bonding ratio exceeding 93%), which is 5 times higher than that of the recent reported LGS/LGS bonding structure (in which a relatively fragile amorphous interface layer is formed between the two LGS samples). The smooth and void-free dual-SC bonding interface of LGS is verified via the cross-sectional transmission electron microscopy (TEM) observations. [Display omitted] [ABSTRACT FROM AUTHOR]

Li metal batteries applying Li-rich, Mn-rich (LMR) layered oxide cathodes present an opportunity to achieve high-energy density at reduced cell cost. However, the intense oxidizing and reducing potentials associated with LMR cathodes and Li anodes present considerable design challenges for prospective electrolytes. Herein, we demonstrate that, somewhat surprisingly, a properly designed localized-high-concentration electrolyte (LHCE) based on ether solvents is capable of providing reversible performance for Li||LMR cells. Specifically, the oxidative stability of the LHCE was found to heavily rely on the ratio between salt and solvating solvent, where local-saturation was necessary to stabilize performance. Through molecular dynamics (MD) simulations, this behavior was found to be a result of aggregated solvation structures of Li+/anion pairs. This LHCE system was found to produce significantly improved LMR cycling (95.8% capacity retention after 100 cycles) relative to a carbonate control as a result of improved cathode-electrolyte interphase (CEI) chemistry from X-ray photoelectron spectroscopy (XPS), and cryogenic transmission electron microscopy (cryo-TEM). Leveraging this stability, 4 mAh cm–2LMR||2× Li full cells were demonstrated, retaining 87% capacity after 80 cycles in LHCE, whereas the control electrolyte produced rapid failure. This work uncovers the benefits, design requirements, and performance origins of LHCE electrolytes for high-voltage Li||LMR batteries.

ABSTRACTEntertainment tourism experience is an emerging but largely overlooked phenomenon. The current study, adopting a qualitative approach, explored travel motivation and entertainment tourism experience from tourists’ and industry professionals’ perspectives. A total of 33 tourists and 18 industry professionals in Macao were interviewed. Three layers of entertainment tourism experience were identified, namely, behavioural, functional and affective aspects of experience. Furthermore, the three layers of experience were reported to be interrelated and played different roles in creating tourists’ entertainment experience. The study accordingly established an integrated flow of entertainment tourism experience. Moreover, the study offered practical implications to destination marketing organizations, industry practitioners, and tourists on cultivating a desired entertainment tourism experience for the tourists.

To address the shortcomings in the drawing and processing of comprehensive characteristic curves of hydraulic turbines and the problems in the operation and management of small hydropower stations, this paper proposes a method for reconstructing the comprehensive characteristic curves based on classification weight neural network. Firstly, this study discretizes the comprehensive characteristic curve of the target turbine factory package to obtain multiple sets of discrete data points, and compares them with the actual operating data of small hydropower plants, and then pre-processes the operating data by the type and operating characteristics of the unit. Next, this paper uses XGBoost to classify the two types of data to obtain the leaf node optimal scores and uses the scores as the prediction weights of the deep neural network to grid the discrete points of the hydraulic turbine for prediction, and finally obtains the specific integrated characteristic graph of the unit. The method based on classification weight neural network can substantially improve the accuracy and reliability of composite characteristic curves while avoiding multivariate nonlinear mathematical problems, which provides a new method and idea for the reconstruction and expansion of the hydraulic turbine characteristic curve, and also provides a theoretical basis for the safe and economic operation of hydropower units.

Analysis and design of compact ear-bar true wireless stereo (TWS) earphone antenna based on characteristic mode analysis (CMA) is presented. The proposed earphone antenna consists of an L-shaped branch and an inverted- L-shaped ground with an integrated inductor which can simulate the ear-bar TWS earphone. The CMA reveals that there are mainly two modes, namely, the half-wavelength mode of the ground and the quarter-wavelength mode of the branch, for the TWS earphone antenna. The two modes are mainly controlled by the ground and the branch, respectively. And for the compact earphone with a short ear bar, only the half-wavelength mode contributes to the radiation at the 2.45-GHz band which is mainly controlled by the integrated inductor on the ground. The measured results of the compact TWS earphone antenna prototypes illustrate that, the integrated inductor improves the −6-dB impedance bandwidth from 136 MHz (2364–2500 MHz) to 160 MHz (2360–2520 MHz) on the head. The measured average efficiencies within the 2400–2484-MHz band are improved from −11.2 to −6 dB on the head. The proposed ear-bar TWS earphone antenna with a compact size and improved performance is promising for modern TWS earphone applications.

Compositionally complex ceramics (CCCs), including high-entropy ceramics, offer a vast, unexplored compositional space for materials discovery. Herein, we propose and demonstrate strategies for tailoring CCCs via a combination of non-equimolar compositional designs and control of grain boundaries (GBs) and microstructures. Using oxide solid electrolytes for all-solid-state batteries as an example, we have discovered a class of compositionally complex perovskite oxides (CCPOs) with improved lithium ionic conductivities beyond the limit of conventional doping. For example, we demonstrate that the ionic conductivity can be improved by >60% in (Li0.375Sr0.4375)(Ta0.375Nb0.375Zr0.125Hf0.125)O3-δcompared with the (Li0.375Sr0.4375)(Ta0.75Zr0.25)O3-δ(LSTZ) baseline. Furthermore, the ionic conductivity can be improved by another >70% via quenching, achieving >270% of the LSTZ. Notably, we demonstrate GB-enabled conductivity improvements via both promoting grain growth and altering GB structures through compositional designs and processing. In a broader perspective, this work suggests new routes for discovering and tailoring CCCs for energy storage and many other applications.