Current Testing Research Articles

Compact advanced pure tilt actuator for testing tilt-to-length coupling in space-based gravitational wave detection

Tilt-to-length (TTL) coupling, caused by the jitter of test masses or satellites, is a major noise source in space-based gravitational wave detection. Calibrating and suppressing TTL coupling noise at the sub-nanometer level is essential. A key challenge in current ground-based TTL coupling testing is the residual translational movement of the tilt actuator. This paper presents the development of a compact advanced pure tilt actuator (APTA) specifically designed for testing TTL coupling. The APTA enables precise tilt motion, monitored by a four-beam interferometer measuring the displacement of attached retroreflectors. Detailed theoretical models and experimental setups are given. Experimental results demonstrate that the APTA test bed can achieve sub-nanometer-level TTL coupling calibration. Additionally, a typical test-mass interferometer tested by the APTA test bed demonstrated that the imaging system effectively suppresses TTL coupling errors. The TTL coupling coefficients were reduced from over ±30 μm/rad to within ±5 μm/rad across a range of ±200 μrad. The APTA test bed offers a compact, high-precision solution for ground-based TTL coupling tests and has the potential for broader application in related experimental setups.

Predictive Model Building for Aggregation Kinetics Based on Molecular Dynamics Simulations of an Antibody Fragment.

Computational methods including machine learning and molecular dynamics simulations have strong potential to characterize, understand, and ultimately predict the properties of proteins relevant to their stability and function as therapeutics. Such methods would streamline the development pathway by minimizing the current experimental testing required for many protein variants and formulations. The molecular understanding of thermostability and aggregation propensity has advanced significantly along with predictive algorithms based on the sequence-level or structural-level information on a protein. However, these approaches focus largely on a comparison of protein sequence variations to correlate the properties of proteins to their stability, solubility, and aggregation propensity. For therapeutic protein development, it is of equal importance to take into account the impact of the formulation conditions to elucidate and predict the stability of the antibody drugs. At the macroscopic level, changing temperature, pH, ionic strength, and the addition of excipients can significantly alter the kinetics of protein aggregation. The mechanisms controlling aggregation kinetics have been traced back to a combination of molecular features, including conformational stability, partial unfolding to aggregation-prone states, and the colloidal stability governed by surface charges and hydrophobicity. However, very little has been done to evaluate these features in the context of protein dynamics in different formulations. In this work, we have combined a range of molecular features calculated from the Fab A33 protein sequence and molecular dynamics simulations. Using the power of advanced, yet interpretable, statistical tools, it has been possible to uncover greater insights into the mechanisms behind protein stability, validating previous findings, and also develop models that can predict the aggregation kinetics within a range of 49 different solution conditions.

A differential low frequency eddy current test method for detecting moisture content of high voltage cable water-blocking tape

ABSTRACT The excessive moisture content in the water-blocking tape has been one of the main causes of high voltage cable erosion failures in recent years. However, the 2–4 mm thick aluminium sheath wrapped around the water-blocking tape makes it challenging to detect the moisture content. This study introduces a method for detecting the moisture content of high voltage cable water-blocking tapes based on low-frequency eddy currents. Initially, longitudinal and transverse impedance measurement experiments of the water-blocking tape were conducted to establish the relationship between impedance and moisture content. Since the impedance of the water-blocking tape is significantly higher compared to the aluminium sheath, the eddy current signal was obtained using a differential detection method. An excitation frequency of 10 Hz was chosen to achieve a deeper skin depth. Additionally, an eddy current finite element analysis model was developed, showing that moisture content has an almost linear relationship with the amplitude and phase of the eddy current signal. Finally, an experiment was conducted on an equivalent high voltage cable structure, and the experimental results aligned well with the simulation results.

The Challenges for EU User Testing Policies for Patient Information Leaflets.

Patient information leaflets (PILs) are essential tools in healthcare, providing crucial information about medication use. In the European Union, the European Medicines Agency (EMA) oversees the regulation and standardisation of PILs to ensure their readability and accessibility. However, challenges persist in ensuring these documents are comprehensible and user-friendly. This study employs a qualitative analytical approach, reviewing existing literature and regulatory documents to identify gaps in the EU user testing policies for PILs. It focuses on the diversity of participant samples, the independence of the testing process, and the robustness of user testing protocols. Findings indicate that current user testing practices often lack diversity and may be biased when pharmaceutical companies conduct their own tests. Additionally, there is a lack of user testing protocols for translated PILs, potentially compromising their accuracy and cultural relevance. To improve the efficacy of PILs, it is essential to include diverse and representative samples in user testing, mandate independent third-party evaluations, implement protocols for user testing on translated PILs, and ensure continuous updates to guidelines based on the latest best practices in health communication. These measures will enhance patient safety and understanding of medication information.

Study on the Impact of Air Pressure on the Laser-Induced Breakdown Spectroscopy of Intumescent Fireproof Coatings

Intumescent fireproof coatings protect steel structures and cables by forming a thick, fire-resistant layer under high temperatures. These coatings can deteriorate over time, impacting their fire resistance. Current testing methods are largely lab-based, lacking in-service evaluation platforms. Laser-Induced Breakdown Spectroscopy (LIBS) is emerging as a promising in situ detection technology but is influenced by low air pressure in high-altitude areas. This study investigates how air pressure affects LIBS signals in intumescent coatings on galvanized steel. Using pressures between 35 and 101 kPa, a linear model was developed to correlate laser pulses to ablation depth for characterizing coating thickness. Results show that spectral intensity decreases with lower air pressure. However, a strong linear relationship persists between laser pulses and ablation depth, with a fitting accuracy above 0.9. The coating thickness is identified by the number of laser pulses required to detect the Zn spectral line from the underlying galvanized steel. As air pressure decreases, the ablation depth increases. The study effectively models and corrects for air pressure effects on LIBS data, enabling its application for field detection of fireproof coatings. This advancement enhances the reliability of LIBS technology in assessing the fire performance of these materials, providing a reference for their in situ evaluation and ensuring better fire safety standards for building steel structures and cables.

The Issues of Psychological Health Tests in Chinese High Schools

At present, adolescents are facing many challenges in mental health, and there are many problems with psychological test questions, so this paper aims to strengthen mental health education and interventions. There are many problems in the current psychological test questions, including insufficient professionalism, insufficient consideration of cultural differences, insufficient privacy protection, insufficient validity and reliability, excessive reliance on self-report, oversimplification of the interpretation of results, lack of timely updating and revision, suggestiveness of the questions, insufficient verification of reliability and validity, and failure to fully cover important aspects of mental health. These issues may affect the accuracy and reliability of test results and need to be continuously improved and resolved through scientific research and professional practice. When addressing mental health issues, schools should work with professionals to ensure that psychological tests are scientific and culturally appropriate, while updating test questions regularly. In addition, it combines quantitative and qualitative assessments, provides professional training, uses information technology to improve testing convenience, and establishes a feedback mechanism to optimize test questions. Resources and support are also needed after the exam to ensure that tests are designed without bias to help students address mental health challenges. Through these measures, the effectiveness of psychological testing can be improved, and the mental health and well-being of students can be promoted.

Minor changes to circulating steroid hormones in female rats after perinatal exposure to diethylstilbestrol or ketoconazole

Current chemical test strategies lack sensitive markers for detecting female reproductive toxicity caused by endocrine disrupting chemicals (EDCs). In search of a potentially sensitive readout, the steroidogenic disrupting effects of the well-known EDCs ketoconazole (KTZ) and diethylstilbestrol (DES) were investigated in vitro and on circulating steroid hormones in perinatally exposed female Sprague-Dawley rats. Twenty-one steroid hormones were analysed using LC-MS/MS in plasma from female rat offspring at postnatal day (PD) 6, 14, 22, 42 and 90. Most circulating steroid hormone levels increased with age except for estrone (E1), estradiol (E2) and backdoor pathway androsterone (ANDROST), which decreased after PD 22. Perinatal exposure to DES did not affect circulating steroid hormone levels at any dose or age compared to controls. KTZ exposure resulted in dose-dependent increase of corticosterone (CORTICO) at PD 6 and PD 14, with statistical significance only at PD 14. In the in vitro gold standard H295R steroidogenesis assay, twenty-one steroid hormones were measured instead of only T and E2. DES had subtle effects on steroidogenesis, whereas KTZ decreased most steroid hormones, but increased CORTICO, progesterone (P4), estriol (E3) initially (around 0.1–1 µM) before decreasing. Our data suggests that circulating steroidomic profiling may not be a sensitive readout for EDC-induced female reproductive toxicity. Further studies are needed to associate H295R assay steroidomic profiles with in vivo profiles, especially in target tissues such as adrenals or gonads. Expanding the H295R steroidogenic assay to include a comprehensive steroidomic profile may enhance its regulatory applicability.

The implementation of a cost‐efficient damped AC testing methodology for transmission cables based on DC–AC conversion and distributed partial discharge detection

AbstractThis research introduces a novel damped alternating current (DAC) testing methodology, which integrates an enhanced DAC generator with a pulse‐based distributed partial discharge (PD) detection technique. The advanced DAC generator is designed without the need for high voltage (HV) solid‐state switches, thereby offering a cost‐effective solution for field‐testing voltage generation through a direct current–alternating current conversion approach. To meet the demand for high instantaneous power, a capacitor bank is employed as the power supply. Furthermore, the implementation of a distributed PD detection technique enhances sensitivity and eliminates limitations associated with cable length. To minimize the construction costs of the distributed PD‐detection system, a pulse synchronization technique has been employed. Efforts to reduce the system's weight were informed by simulations, resulting in the design and development of a prototype weighing 850 kg for a 64/110 kV power cable. The reduction in the number of HV solid‐state switches contributes to significant cost savings, amounting to tens of thousands of dollars, when compared to conventional DAC generators. Laboratory and field tests validated the effectiveness of the cost‐efficient DAC testing methodology.

Applying Artificial Intelligence for Emotional Cognition in Game Testing for Quality Assurance

Artificial intelligence (AI) is a branch of computer science that tries to develop computational tools and systems that can carry out tasks comparable to human decision-making and learning. The subject of AI is expanding quickly, and AI technology is becoming more and more significant in a variety of IT specialties. When more automated and intelligent solutions are employed instead of outdated techniques, the quantity of manpower and resources needed for game testing will be greatly decreased. The aim of this study is to find new models that will make game testing easier by utilising state-of-the-art AI techniques. In an attempt to determine the model base and algorithmic foundation for the new approach, the examination and comparison of existing theories, models, and algorithms is used to infer and identify the viability of certain current mainstream AI models and algorithms in game testing sessions. Standard software testing is not the same as game testing. Further consideration should be given to the whole gaming experience and entertainment value in addition to functional testing. User questionnaires and in-game testing are used in the current standard experience testing methodology. Artificial intelligence eliminates human aspects in emotional cognition. It may produce more objective test results while spending less money for both human and material resources by using massive data sets and its own learning and processing capabilities. This paper examines the state of AI in software testing, game creation, and emotion perception using expertise in using and applying AI approaches in game testing for quality assurance. It also demonstrates how well AI methods work for predicting player emotions during game testing. The AI testing reduces testing expenses related to labour and material resources while guaranteeing total game confidentiality before release. It also increases test accuracy and reduces the impact of subjectivity.

Normalization and Processing of Rotational Eddy Current Scans for Layup Characterization of CFRP Laminates

ABSTRACT The verification of fiber orientation and layup in carbon fiber-reinforced polymer (CFRP) composite laminates is essential to guarantee the performance of the material. This work reports the background, methodology, and results of a rotational eddy current testing (ECT) system for determining fiber orientation and ply layup of unidirectional CFRP components. The system presented mechanically rotates a 15 MHz directional transmit-receive ECT probe, which poses several speed and consistency advantages. The paper presents a theoretical discussion of how these scans are produced, a unique preprocessing normalization method, and an optimization process for determining the layup from the captured datasets. Results show a high level of accuracy for identifying the unique directions present in a laminate, and the theory-supported model enables the extraction of layup order information of multilayer parts, even where repeated lamina are present within the laminate.

The Effectiveness of Test for Speed and Strength Development for 12-14 Years Boys Judo Athletes: A Case Study of Binh Duong Province, Vietnam

Judo is an individual combat sport that requires high psychological, technical, tactical and physical factors, in which strength and speed play an important role. The aim of the study was selecting some tests for speed and strength development for 12-14 years boys Judo athletes, evaluating the effectiveness of these tests to develop speed strength for them. The study group consisted of 20 boys 12-14 years old Judo athletes in Binh Duong Province, Vietnam. The test for speed and strength development (collecting by previous research) was used in the study, including 5 tests: (1) Test 30m high start run (s); (2) Test long jump in place (cm); (3) Test prone push-up 15s (times); (4) Test Seoinage kick 20s (times); (5) Test knocking down Ippon Seoinage 30s (times). Test results based on the score tables were subjected to statistical calculations. An arithmetic mean, and Cv index were calculated for independent samples. The boys 12-14 years old Judo athletes who train 5 tests for speed and strength development exceed on the level statistically significant than the boys who practice current test. Comparing the results after the experiment between the two groups shows that the test system introduced by the study is superior to the current test system in terms of development rate (in each survey indicator, as well as in terms of average development rate).

Phenotypic and genotypic perspectives on detection methods for bacterial antimicrobial resistance in a One Health context: research progress and prospects.

The widespread spread of bacterial antimicrobial resistance (AMR) and multidrug-resistant bacteria poses a significant threat to global public health. Traditional methods for detecting bacterial AMR are simple, reproducible, and intuitive, requiring long time incubation and high labor intensity. To quickly identify and detect bacterial AMR is urgent for clinical treatment to reduce mortality rate, and many new methods and technologies were required to be developed. This review summarizes the current phenotypic and genotypic detection methods for bacterial AMR. Phenotypic detection methods mainly include antimicrobial susceptibility tests, while genotypic detection methods have higher sensitivity and specificity and can detect known or even unknown drug resistance genes. However, most of the current tests are either genotypic or phenotypic and rarely combined. Combining the advantages of phenotypic and genotypic methods, combined with the joint application of multiple rapid detection methods may be the trend for future AMR testing. Driven by rapid diagnostic technology, big data analysis, and artificial intelligence, detection methods of bacterial AMR are expected to constantly develop and innovate. Adopting rational detection methods and scientific data analysis can better address the challenges of bacterial AMR and ensure human health and social well-being.

Deep humoral profiling coupled to interpretable machine learning unveils diagnostic markers and pathophysiology of schistosomiasis.

Schistosomiasis, a highly prevalent parasitic disease, affects more than 200 million people worldwide. Current diagnostics based on parasite egg detection in stool detect infection only at a late stage, and current antibody-based tests cannot distinguish past from current infection. Here, we developed and used a multiplexed antibody profiling platform to obtain a comprehensive repertoire of antihelminth humoral profiles including isotype, subclass, Fc receptor (FcR) binding, and glycosylation profiles of antigen-specific antibodies. Using Essential Regression (ER) and SLIDE, interpretable machine learning methods, we identified latent factors (context-specific groups) that move beyond biomarkers and provide insights into the pathophysiology of different stages of schistosome infection. By comparing profiles of infected and healthy individuals, we identified modules with unique humoral signatures of active disease, including hallmark signatures of parasitic infection such as elevated immunoglobulin G4 (IgG4). However, we also captured previously uncharacterized humoral responses including elevated FcR binding and specific antibody glycoforms in patients with active infection, helping distinguish them from those without active infection but with equivalent antibody titers. This signature was validated in an independent cohort. Our approach also uncovered two distinct endotypes, nonpatent infection and prior infection, in those who were not actively infected. Higher amounts of IgG1 and FcR1/FcR3A binding were also found to be likely protective of the transition from nonpatent to active infection. Overall, we unveiled markers for antibody-based diagnostics and latent factors underlying the pathogenesis of schistosome infection. Our results suggest that selective antigen targeting could be useful in early detection, thus controlling infection severity.

Near- and remote-field pulsed eddy current integrated testing for enhancement in imaging of buried flaws in layered conductive structures

ABSTRACT In a bid to simultaneously exploit the advantages of Pulsed Eddy Current testing (PEC) and Pulsed Remote-field Eddy Current Testing (PRFEC) for evaluation of buried defects in layered conductors, in this paper the Near- and Remote-field Pulsed Eddy Current integrated testing (NRPEC) alongside an axi-symmetric probe has been proposed. Simulations are conducted to reveal the field characteristics underlying the proposed method and analyse the signal response to hidden flaws. In parallel, an NRPEC system has been built up. Based on the images of near-field and remote-field signal features, a fusion algorithm is proposed to fuse the signal features of near-field and remote-field signals for defect testing with the enhanced signal-to-noise ratio. Results from simulations and experiments indicate that based on the fused signal feature, high-accuracy imaging of hidden defects in a double-layer conductor can be achieved via NRPEC with the improved signal-to-noise ratio.

Comparison of a dual antibody and antigen HCV immunoassay to standard of care algorithmic testing.

The Centers for Disease Control and Prevention (CDC) guidelines for hepatitis C virus (HCV) testing, although effective, may miss crucial diagnostic opportunities. The goal of this study was to assess the utility of an antibody (Ab) and antigen (Ag) combination immunoassay as an alternative to traditional HCV screening. Remnant specimens from 1,341 patients with concurrent third-generation serologic (Roche anti-HCV-II) and nucleic acid amplification testing (NAAT) were assessed using the HCV Duo Ab/Ag immunoassay (Roche). Patient demographics, risk factors, and standard of care (SOC) laboratory results from the medical records were recorded. Overall, 99.0% (197/199) of the HCV Duo Ab+/Ag+specimens accurately identified active infections as confirmed by NAAT, and 99.9% (670/671) Ab-/Ag- samples corresponded to those without HCV infections. Individually, the HCV Duo Ab component demonstrated a 95.6% positive percent agreement (PPA) (95% CI = 93.8-96.9) and 99.1% negative percent agreement (NPA) (98.8-99.6) compared with SOC anti-HCV II Ab assay. The HCV Duo Ag had a 73.5% PPA (67.9-78.4) and 99.8% NPA (99.3-100) with NAAT. Among RNA+ specimens, 73.4% (197/267) were HCV Duo Ag+, and 265/267 (99.3%) were successfully detected on the HCV Duo Ab component. Notably, 5/7 (71.4%) Ab-/RNA +specimens were detected by HCV Duo, which would have been missed by traditional algorithmic testing. Fourth generation HCV Duo Ab/Ag assay demonstrated comparable performance to SOC testing and shortens the diagnostic window but does not eliminate the need for NAAT in all patients. Ab/Ag testing identified several Ab-/RNA+ cases, a subgroup often undiagnosed by current algorithmic testing, demonstrating promise for improved diagnostic efficiency and accuracy in HCV detection.IMPORTANCEThis study highlights the potential of a combined hepatitis C virus (HCV) Duo antibody (Ab) and antigen (Ag) immunoassay to improve early detection of HCV infections. Traditional Ab-only screening methods recommended by the Centers for Disease Control and Prevention may miss early-stage infections. The HCV Duo assay showed high accuracy, detecting nearly all active infections confirmed by nucleic acid amplification testing. Dual detection of HCV Ab and Ag shortens the diagnostic window, enabling intervention and treatment in a single visit, which is crucial for improving patient outcomes and reducing HCV transmission, especially in areas with limited access to confirmatory molecular testing.

Development of calibration samples made of steel 45 and 09G2S for eddy current structuroscope by carburizing

The paper describes the process of carburizing and hardening of 45 and 09G2S steels for the production of samples for the development of a technique for eddy current testing of the quality and thickness of hardened layers on ferromagnetic cores. Structural analysis of samples in the initial state, in the hardened state, as well as after carburizing and hardening was carried out. As a result of metallographic studies it was obtained that the depth of the cemented layer of steel 45 was equal to 250 microns, and in case of steel 09G2C it is in the range of 550-800 microns.

Molecular Testing for EGFR Mutation in Moroccan NSCLC Patients: CHU Hassan II-Fez Experience.

Epidermal growth factor receptor (EGFR) mutation screening in non-small cell lung cancer (NSCLC) is now used to guide treatment decisions to identify patients with EGFR positive mutations that predict response to EGFR tyrosine kinase inhibitors. This study aimed to explore with a prospective study the current testing practices and the predictive value of EGFR mutations in a series of 261 patients with NSCLC. EGFR mutation testing was conducted using 2 different assays: bidirectional Sanger sequencing of polymerase chain reaction (PCR) and real-time PCR on the Rotor-Gene Q instrument. Epidermal growth factor receptor mutation testing was performed for 261 patients with lung cancer. Exons 18 to 21 were successfully analyzed in 113 tumors by Direct sequencing and in 148 tumors by real-time PCR. The prevalence of positive EGFR-mutations in each method was 22.1% (N = 25) and 24.3% (N = 36), respectively (P = .3). In total, EGFR mutations were detected in 59 patients among 261 patients with NSCLC. A statistically significant association between female sex, nonsmoking history, nonsolid major pattern, and a higher EGFR mutation frequency. In this study, we investigated clinicopathological differences between tumors harboring exon 19del and those harboring L858R. We did not find any significant differences between the 2 mutations and gender or smoking features, interestingly, the prevalence of patients aged >60 years was significantly higher in the L858R group than in the exon 19del group (81.8% vs 55.8%, P = .05). A significant association was observed between exon 19 deletions and the papillary major pattern, but no correlation was detected between exon 21 mutation and any histological pattern. This prospective study documented the real-world clinical testing of EGFR mutation in Moroccan NSCLC patients. Our experience confirms the need to develop standards-based guidelines for the routine performance and evaluation of EGFR testing to improve clinical care for this subset of lung cancer. On the other hand, our study demonstrated that tumors with exon 19 deletions and L858R harbor specific clinicopathological features in NSCLC.

Peanut cultivar response to residual soil test potassium in North Mississippi

AbstractThe average U.S. peanut (Arachis hypogaea L.) yield has increased by approximately 25% with the adoption of peanut cultivar ‘Georgia‐06G’. Since this adoption, many new high yielding runner cultivars with similar yield potential have been released. However, current nutrient recommendations are based on soil tests that were developed prior to the release of Georgia‐06G. Particularly for potassium, current soil test potassium (STK) critical values were established on soil textures with relatively low cation exchange capacity (CEC) but were not validated on soil textures with high CEC. This study aimed to evaluate the growth and yield response of five recently released peanut cultivars to four STK levels ranging from very low to medium based on Mississippi State University Extension soil testing recommendations. The STK classification levels were also based on two soil series categorized with high CEC—Leeper (∼38.4 meq 100 g−1) and Marietta (∼15.9 meq 100 g−1) soil series. Cultivars Georgia‐06G, ‘Georgia‐16HO’, ‘Georgia‐18RU’, FloRun ‘331’, and ‘AU‐NPL‐17’ were evaluated in this study. No STK × variety interaction occurred, indicating similar K requirements across all varieties evaluated. However, a positive pod yield response occurred in both soil types when the average STK increased from 128 to 167 lbs ac−1 for all cultivars and site years. Critical STK values on both soils were greater than many current Extension recommendations, and the critical STK value of Leeper is greater than the Marietta soil series, likely due to the higher CEC value. These results demonstrate the need to adjust peanut STK sufficiency levels based on soil CEC. Further evaluation of modern peanut cultivar productivity response to STK sufficiency levels is needed for soils with moderate CEC.

Recent Electrochemical Advancements for Liquid-Biopsy Nucleic Acid Detection for Point-of-Care Prostate Cancer Diagnostics and Prognostics.

Current diagnostic and prognostic tests for prostate cancer require specialised laboratories and have low specificity for prostate cancer detection. As such, recent advancements in electrochemical devices for point of care (PoC) prostate cancer detection have seen significant interest. Liquid-biopsy detection of relevant circulating and exosomal nucleic acid markers presents the potential for minimally invasive testing. In combination, electrochemical devices and circulating DNA and RNA detection present an innovative approach for novel prostate cancer diagnostics, potentially directly within the clinic. Recent research in electrochemical impedance spectroscopy, voltammetry, chronoamperometry and potentiometric sensing using field-effect transistors will be discussed. Evaluation of the PoC relevance of these techniques and their fulfilment of the WHO's REASSURED criteria for medical diagnostics is described. Further areas for exploration within electrochemical PoC testing and progression to clinical implementation for prostate cancer are assessed.

A novel vanadium-copper rechargeable battery for solar energy conversion and storage

To enhance the utilization of abundant yet intermittent sunlight, the integration of solar energy conversion and storage has received increasing attention, and utilizing photoelectrodes to drive non-spontaneous reversible redox reactions provides a promising solution. This study proposes a triple-compartment system combining dual-photoelectrode (TiO2 and pTTh) with vanadium-copper electrolytes for integrated solar energy conversion and storage. The system can convert solar energy into chemical energy under simulated solar illumination (100 mW∙cm−2, AM 1.5G) and controllably release the stored chemical energy in the form of electrical energy. The system achieves a discharge open-circuit voltage of 0.47 V and a short-circuit current density of 1.3 mA∙cm−2. In constant current discharge tests, a discharge capacity of 2 mAh is observed at 0.3 mA∙cm−2.