Lower Limit Research Articles

Systematic Literature Review: Identifying Key Variables and Measuring Maximum Loan Limits

This systematic literature review aims to identify key variables and measurement methods for determining maximum credit loan limits, following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. The complexity of setting an optimal credit limit to manage credit risk effectively presents a significant challenge. Establishing an efficient maximum loan limit is essential to mitigate credit risk, as an overly high limit increases default potential, while an excessively low limit restricts the financial institution's growth. This study identifies key variables and measurement methods, including Machine Learning techniques, Neural Networks, and traditional statistical approaches. Machine Learning models, such as Random Forest and Gradient Boosting, often surpass traditional methods in handling large, unstructured datasets due to their capacity for modeling complex, non-linear relationships. Conversely, traditional methods like logistic regression may be more suitable for smaller datasets, offering better interpretability and ease of use. The results indicate that systematic variable identification and the use of appropriate measurement methods can enable financial institutions to manage credit loan risk more effectively, supporting the development of sound credit policies.

Micronutrient Deficiencies in Heart Failure and Relationship with Exocrine Pancreatic Insufficiency.

Micronutrient deficiencies are common and play a significant role in the prognosis of many chronic diseases, including heart failure (HF), but their prevalence in HF is not well known. As studies have traditionally focused on causes originating within the intestines, exocrine pancreatic insufficiency (EPI) has been overlooked as a potential contributor. The exocrine pancreas enables the absorption of various (fat-soluble) micronutrients and may be insufficient in HF. We hypothesize that EPI contributes to micronutrient deficiencies in HF. To evaluate micronutrient concentrations in HF cases and their association with clinical characteristics and EPI. Plasma samples from 59 consecutive hospitalized patients with HF were analyzed for vitamins A, D, and E and the minerals selenium and zinc. EPI was defined as fecal elastase 1 level < 206 μg/g. The mean age of patients was 59 ± 14 years, with 24 (41%) being women, and a median NT-proBNP concentration of 3726 [2104-6704] pg/mL was noted. Vitamin A deficiency occurred in eight (14%) of the patients, and 12 (20%) exceeded the upper limit. More than half (51%) were vitamin D-deficient. No patients showed vitamin E deficiency, but 14 (24%) had elevated levels. Selenium deficiency was common, affecting 36 (61%) patients, while zinc was below the normal range in seven patients (12%). Micronutrient levels did not differ significantly based on the presence of EPI. This study provides novel insights into the micronutrient status of patients with HF. Deficiencies in vitamins A and D, selenium, and zinc are prevalent in HF, but these findings are not associated with exocrine pancreatic function.

Search for the lepton number violation decay $\phi \to \pi^+ \pi^+ e^- e^-$ via $J/\psi\to \phi\eta$

Abstract Using $(1.0087\pm0.0044)\times10^{10}$ $J/\psi$ events collected by the BESIII detector at the BEPCII collider, we search for the lepton number violation decay $\phi \to \pi^+ \pi^+ e^- e^-$ via $J/\psi\to \phi\eta$. No signal is found and the upper limit on the branching fraction of $\phi \to \pi^+ \pi^+ e^- e^-$ is set to be $1.3\times10^{-5}$ at the 90\% confidence level.Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Article funded by SCOAP3 and published under licence by Chinese Physical Society and the Institute of High Energy Physics of the Chinese Academy of Science and the Institute of Modern Physics of the Chinese Academy of Sciences and IOP Publishing Ltd.

Effective multicolor visual biosensor for ochratoxin Adetection enabled by DNAzyme catalysis and gold nanorod etching.

Anovel detection technique is introducedthat offers sensitive and reliable ochratoxin A (OTA) detection. The method leverages the etching of gold nanorods (AuNRs) stabilized by hexadecyl trimethyl ammonium bromide (CTAB) using the oxidized form of 3,3',5,5'-tetramethyl benzidine sulfate (TMB2+), creating a susceptible multicolor visual detection system for OTA.The visual detection is enabledby Mg2+-assisted DNAzyme catalysis combined with the catalytic hairpin assembly (CHA) signal amplification strategy. The presence of OTA triggers CHA and signaling responses along with the formation of G-quadruplex-hemin DNAzyme, which promotes the oxidation of TMB with H2O2, leading to the etching of AuNRs and a reduction in their aspect ratio.AuNRs experienced a blue shift in the longitudinal localized surface plasmon resonance peak, resulting in a color change.The technique has been shown to detect OTA with a low detection limit of 0.309 pg/mL, demonstrating high sensitivity and specificity. The detection technique offers versatility by enabling the detection of other pollutants through a simple replacement of the aptamer, expanding the range of detection platforms available for pollutant determinations.

Carbon Dots-Modified Hollow Mesoporous Photonic Crystal Materials for Sensitivity- and Selectivity-Enhanced Sensing of Chloroform Vapor

Chloroform and other volatile organic pollutants have garnered widespread attention from the public and researchers, because of their potential harm to the respiratory system, nervous system, skin, and eyes. However, research on chloroform vapor sensing is still in its early stages, primarily due to the lack of specific recognition motif. Here we report a mesoporous photonic crystal sensor incorporating carbon dots-based nanoreceptor (HMSS@CDs-PCs) for enhanced chloroform sensing. The colloidal PC packed with hollow mesoporous silica spheres provides an interconnected ordered macro-meso-hierarchical porous structure, ideal for rapid gas sensing utilizing the photonic bandgap shift as the readout signal. The as-synthesized CDs with pyridinic-N-oxide functional groups adsorbed in the hollow mesoporous silica spheres are found to not only serve as the chloroform adsorption sites, but also a molecular glue that prevents crack formation in the colloidal PC. The sensitivity of HMSS@CDs-PCs sensor is 0.79 nmppm-1 and an impressively low limit of detection is 3.22ppm, which are the best reported values in fast-response chloroform vapor sensor without multi-signal assistance. The positive response time is 7.5s and the negative response time 9s. Furthermore, relatively stable sensing can be maintained within a relative humidity of 20%-85%RH and temperature of 25-55°C. This study demonstrates that HMSS@CDs-PCs sensors have practical application potential in indoor and outdoor chloroform vapor detection.

Laser-Induced Graphene-Based Gas Sensor with PEDOT:PSS/Gold–Platinum Nanocomposites for Highly Sensitive Detection of Methane

Methane is a common intestinal gas that has been linked to a variety of gastrointestinal disorders. In this study, we prepared a LIG-based electrochemical sensor modified with PEDOT:PSS/Au-Pt nanocomposites for high-sensitivity methane detection. LIG’s high porosity, flexibility, and excellent electrical conductivity are beneficial for electrochemical detection. The PEDOT:PSS film is electrodeposited on the electrode surface to amplify the signal further. The synergistic effect of bimetallic nanocomposites can improve the electrochemical catalytic activity and increase the specific surface area and the advantages of active sites. The experimental results show that the LIG sensor has a wide linear detection range (2–500 ppm), a low detection limit (about 0.36 ppm), high sensitivity, and good repeatability. The sensor is easy to manufacture, is low-cost, operates at room temperature, has high sensitivity, has a low detection limit, and is expected to be used for methane breath detection in the future.

Enhancing Anemia Detection With Non-invasive Anemia Detection With AI (NiADA): Insights From Clinical Validations and Physician Observations.

Background Anemia, a critical public health issue, affects nearly two billion people globally. Frequent monitoring of blood hemoglobin levels is essential for managing its burden. While point-of-care testing (POCT) devices facilitate hemoglobin testing in resource-limited settings, most are invasive and have inherent limitations. The Non-Invasive Anemia Detection App (NiADA) (Monere, UT) offers a non-invasive alternative, utilizing artificial intelligence (AI) to estimate hemoglobin levels from images of the lower eyelid. This low-cost, real-time solution employs a custom computer vision deep-learning algorithm for hemoglobin levels, offering significant potential for early diagnosis and management of anemia. Methods This study evaluated NiADA in two phases. In the first phase, its performance was compared to laboratory measurements and the minimally invasive POCT device, Hemocue Hb 301. In this study, the current version of NiADA version 2 (V2)is also compared against the previous version of NiADA version 1 (V1) to show the improvement in the last six months. In the second phase, NiADA's results were compared against hemoglobin estimations made by a group of medical professionals, as well as against lab analyzers. For both phases, NiADA performance was evaluated using the Bland-Altman plot, regression coefficients, percentage of acceptable limit, Pearson correlation coefficient, andLin's concordance correlation coefficient. Results The mean difference between NiADA-V2 and laboratory-estimated hemoglobin values was -0.11 g/dL, with limits of agreement (LOA) ranging from +2.86 to -2.64 g/dL, where the upper limit is comparable with HemoCue. The NiADA-V2-acceptable range (percentage of samples falling within ±1 g/dL absolute error) increased to 54% compared to 40% in NiADA-V1. Additionally, NiADA outperformed medical professionals, showing a mean difference of 0.07 g/dL compared to medical professionals' 0.42 g/dL. Conclusion NiADA, as a non-invasive application, exhibits performance comparable to minimally invasive tools and other POCT devices. Its accuracy exceeds that of medical professionals, making it a viable option for anemia screening and monitoring, particularly in community medicine and regions with limited healthcare resources.

Study on Differential Pulse Anodic Stripping Voltammetry Method for Simultaneous Determination of Trace amount of Zn, Cd, Pb, Cu in some Cough Syrups in Vietnam

The optimal measurement parameters of differential pulse anodic stripping voltammetry method (DP-ASV) to simultaneously determine the trace amount of the four elements Zn, Cd, Pb, Cu have been studied, including the sweep rate, pulse amplitude, drop size of mercury, initial purge, equilibration time. The analytical procedure was applied to determine Zn, Cd, Pb, Cu in 12 cough syrup samples in Viet Nam, including 6 functional food samples and 6 medicinal samples. The quantitative echnique used was standard addition and the applicability of quantitative elements in self - made samples was studied. Cough syrup analysis samples were digested using the wet ashing method in microwave oven. Research results show that there are no regular differences in elements content between medicinal cough syrup samples and functional food samples, except for functional food samples TP08 which has Pb content and the syrup medicine sample TH03 which has Cu content many times higher than other types. However, the content of the studied elements is within the allowable limits according to curent regulations (QCVN 8-2:2011/BYT; 46/2007/QĐ-BYT, WHO). The method has low detection limits and limit of quantification with ppb level, the relative standard deviations (% RSD) of repeated measurements are less than 3%, and recovery reflects the accuracy of the analytical method for elements ranging from 61.0 % to 87.5 %, which meets AOAC requirements for trace.

Analysis of gradient profiles and morphology of the Vela Jr. supernova remnant

We present the study of gradient profiles of the Vela Jr. northwestern rim in X-ray emission and the morphology of this supernova remnant in various spectral ranges of electromagnetic radiation to estimate the distance to the object and its age. In this work were used radiation intensity spatial distributions for the northwestern rim of the supernova remnant RX J0852.0–4622 in the X-ray energy range, 1000.0–2000.0 eV, obtained from measurements of the EPIC-pn camera of the XMM-Newton space observatory for four consecutive time intervals. From the calculated shifts over the period from 2004 to 2018 of the X-ray intensity profiles along the northwestern rim of Vela Jr., limits were obtained on the angular expansion rate of the shock wave of this remnant’s region into a cloud of gas, probably hydrogen: minimum speed Vθmax= 0.29ʺ ± 0.04ʺ year –1 and maximum Vθ60= 0.82ʺ ± 0.11ʺ year –1 .The hydrogen cloud with which the supernova shock wave interacts along the northwestern rim of Vela Jr. is very inhomogeneous. The upper limits for the age of the remnant and the distance to it based on the cloud density estimate are 1920 years and 450 parsecs, respectively. More stringent restrictions on such parameters of RX J0852.0–4622 as its age and distance to it were obtained by analyzing the remnant’s two-ring morphology based on its images in ultraviolet, X-ray, radio and gamma rays: 1190 ± 250 years and 280 ± 60 parsecs.

Separating Super-puffs versus Hot Jupiters among Young Puffy Planets

Abstract Discoveries of close-in young puffy (R p ≳ 6 R ⊕) planets raise the question of whether they are bona fide hot Jupiters or puffed-up Neptunes, potentially placing constraints on the formation location and timescale of hot Jupiters. Obtaining mass measurements for these planets is challenging due to stellar activity and noisy spectra. Therefore, we aim to provide independent theoretical constraints on the masses of these young planets based on their radii, incident fluxes, and ages, benchmarking to the planets of age &lt;1 Gyr detected by Kepler, K2, and the Transiting Exoplanet Survey Satellite. Through a combination of interior structure models, considerations of photoevaporative mass loss, and empirical mass–metallicity trends, we present the range of possible masses for 22 planets with an age of ∼10–900 Myr and radii of ∼6–16 R ⊕. We generally find that our mass estimates are in agreement with the measured masses and upper limits where applicable. There exist some outliers including super-puffs Kepler-51 b, c and V1298 Tau d, b, e, for which we outline their likely formation conditions. Our analyses demonstrate that most of the youngest planets (≲100 Myr) tend to be puffed-up, Neptune-mass planets, while the true hot Jupiters are typically found around stars aged at least a few hundred Myr, suggesting the dominant origin of hot Jupiters to be late-stage high-eccentricity migration.

Application of Multiple Linear Regression on Sales Prediction

Hitherto, companies still facing issues of pricing and allocation of promotional funds. Some evidence already shows the relationship between the sales of the product and three elements which include price, in-store spending, and online advertisement spending. This project aims to predict sales to determine the equation between these factors to help companies maximize the efficiency of promotional funds and balance the product's price and its sales. With the use of multiple linear regression and the least square method, predicted sales can be indicated. This is done through using both the R-square and graph the R-square to evaluate the equation between sales and the three factors mentioned earlier, discovering the fitness of equation is 0.8 (the upper limit is 1) according to the R-square and the trend of predicted values meet the observed values according to the graph. This finding can be used to predict the sales trend for the product and help the enterprise manage the allocation of promotional funds.

Low Injection Rate of Cosmic-Ray Protons in the Turbulent Reacceleration Model of Radio Halos in Galaxy Clusters

A giant radio halo (RH) is a diffuse synchrotron emission observed on the scale of megaparsecs, typically found in the central region of merging galaxy clusters. Its large size and steep spectrum suggest that it originates from the reenergization of an aged population of cosmic-ray electrons (CREs), while the secondary leptons produced in the pp hadronic collision of cosmic-ray protons (CRPs) may contribute to the emission. In this study, we investigate the reacceleration model including both primary and secondary CREs, assuming that the primary cosmic rays (CRs) originate from internal galaxies. In our new method, we follow the cosmological evolution of each cluster and calculate the energy spectra and 1D spatial distributions of CRs. The primary CRE model with a ∼3 Gyr duration of reacceleration successfully reproduces the statistical properties of the RHs observed in the recent LOFAR survey, as well as the spectrum and profile of the Coma cluster. The gamma-ray and neutrino emissions produced by reaccelerated CRPs are consistent with the upper limits. However, if the CRP injection rate is high and the secondary CREs become significant, the model with the required ∼3 Gyr reacceleration overproduces the number of RHs. The limit on the CRP injection rate, L p ≲ 1041 erg s−1, is significantly lower than that expected from the early starburst activity or jets from active galactic nuclei. This discrepancy requires a revision of either the model of CR supply from galaxies or the turbulent reacceleration model.

Semiconductive Coordination Polymer with Multi‐Channel Charge Transfer for High‐Performance Direct X‐ray Detection

Coordination polymers (CPs) are promising for direct X‐ray detection and imaging owing to higher designability and outstanding stability, however, it remains a challenge to achieve highly X‐ray detection performance, particularly both high sensitivity and low detection limit at the same operating voltage. Herein, we construct a new conjugated CP {[Co(BPTTz)(DIPA)] DMA}n (1, BPTTz = 2,5‐bis(pyridine‐4‐yl)thiazolo[5,4‐d]thiazole, H2DIPA = 2,5‐diiodoterephthalic acid, DMA = N, N'‐dimethylacetamide), with multi‐channel charge transfer by regulating the linker mediated electronic‐state, which reduces carrier losses resulting from recombination or quenching, enhances the efficiency of charge separation and transfer, thus further optimizes X‐ray detection performance. The semiconductor prepared based on this strategy achieves record values including the highest mobility‐lifetime product (μτ, 8.05 × 10–3 cm2 V–1) and the lowest detectable X‐ray dose rate (128 nGyair S–1, 35 V) among CP‐based direct radiation detectors, as well as a high sensitivity (172 μC Gyair–1cm–2, 35 V) at the same operating voltage. This detector shows excellent long‐time air stability under ambient conditions for over three months and operational stability. These findings demonstrate a rational structural design method to enhance the photoelectronic efficiency and stability of semiconductive CPs.

Semiconductive Coordination Polymer with Multi‐Channel Charge Transfer for High‐Performance Direct X‐ray Detection

Coordination polymers (CPs) are promising for direct X‐ray detection and imaging owing to higher designability and outstanding stability, however, it remains a challenge to achieve highly X‐ray detection performance, particularly both high sensitivity and low detection limit at the same operating voltage. Herein, we construct a new conjugated CP {[Co(BPTTz)(DIPA)] DMA}n (1, BPTTz = 2,5‐bis(pyridine‐4‐yl)thiazolo[5,4‐d]thiazole, H2DIPA = 2,5‐diiodoterephthalic acid, DMA = N, N'‐dimethylacetamide), with multi‐channel charge transfer by regulating the linker mediated electronic‐state, which reduces carrier losses resulting from recombination or quenching, enhances the efficiency of charge separation and transfer, thus further optimizes X‐ray detection performance. The semiconductor prepared based on this strategy achieves record values including the highest mobility‐lifetime product (μτ, 8.05 × 10–3 cm2 V–1) and the lowest detectable X‐ray dose rate (128 nGyair S–1, 35 V) among CP‐based direct radiation detectors, as well as a high sensitivity (172 μC Gyair–1cm–2, 35 V) at the same operating voltage. This detector shows excellent long‐time air stability under ambient conditions for over three months and operational stability. These findings demonstrate a rational structural design method to enhance the photoelectronic efficiency and stability of semiconductive CPs.

Cylindrical gravitational waves in Einstein-Aether theory

Abstract Along the lines of the Einstein-Rosen wave equation of General Relativity (GR), we derive a gravitational wave equation with cylindrical symmetry in the Einstein-aether (EA) theory. We show that the gravitational wave in the EA is periodic in time for both the metric functions $\Psi(r,t)$ and $H(r,t)$. However, in GR, $\Psi(r,t)$ is periodic in time, but $H(r,t)$ is semi-periodic in time, having a secular drifting in the wave frequency. The evolution of wave pulses of a given width is entirely different in both theories in the $H(r,t)$ metric function due to this frequency drifting. Another fundamental difference between the two theories is the gravitational wave velocity. While in GR, the waves propagate with the speed of light, in EA, there is no upper limit to the wave velocity, reaching infinity if $c_{13} \rightarrow 1$ and zero if $c_{13} \rightarrow -\infty$. We also show that energy-momentum pseudotensor and superpotential get contributions from aether in addition to the usual gravitational field part. All these characteristics are observational signatures that differentiate GR and EA that might aid in the search for new physics in the cosmological background of stochastic gravitational waves discovered recently by the Pulsar Timing Array collaborations such as NANOGrav, EPTA, PPTA, InPTA, and CPTA.&amp;#xD;

SOFIA/HAWC+ Far-infrared Polarimetric Large-area CMZ Exploration Survey. IV. Relative Magnetic Field Orientation throughout the CMZ

Abstract The nature of the magnetic field structure throughout the Galactic Center (GC) has long been of interest. The recent Far-InfraREd Polarimetric Large-Area Central Molecular Zone (CMZ) Exploration (FIREPLACE) Survey reveals preliminary connections between the seemingly distinct vertical and horizontal magnetic field distributions previously observed in the GC. We use the statistical techniques of the Histogram of Relative Orientation and the Projected Rayleigh Statistic to assess whether the CMZ magnetic field preferentially aligns with the structure of the CMZ molecular clouds or the morphology of the nonthermal emission of the GC nonthermal filament (NTF) population. We find that there is a range of magnetic field orientations throughout the population of CMZ molecular clouds, ranging from parallel to perpendicular orientation. We posit these orientations depend on the prevalence of gravitational shear in the GC, in contrast with what is observed in Galactic Disk star-forming regions. We also compare the magnetic field orientation from dust polarimetry with individual prominent NTFs, finding a preferred perpendicular relative orientation. This perpendicular orientation indicates that the vertical field component found in the FIREPLACE observations is not spatially confined to the NTFs, providing evidence for a more pervasive vertical field in the GC. From dynamical arguments, we estimate an upper limit on the magnetic field strength for this vertical field, finding B ≤ 4 mG. A field close to this upper limit would indicate that the NTFs are not local enhancements of a weaker background field and that the locations of the NTFs depend on proximity to sites of cosmic-ray production.

From spectroscopic data variability to optimal preprocessing: leveraging multivariate error in almond powder adulteration of different grain size.

Analysing samples in their original form is increasingly crucial in analytical chemistry due to the need for efficient and sustainable practices. Analytical chemists face the dual challenge of achieving accuracy while detecting minute analyte quantities in complex matrices, often requiring sample pretreatment. This necessitates the use of advanced techniques with low detection limits, but the emphasis on sensitivity can conflict with efforts to simplify procedures and reduce solvent use. This article discusses the shift towards green analytical methods, focusing on portable spectroscopic techniques in the near-infrared (NIR) region. A case study involving the prediction of adulteration in almond flour with bitter almond flour illustrates the importance of particle size and the integration between the sample and the instrument. The study emphasizes the necessity of investigating the multivariate error associated with raw data to enhance data preprocessing strategies. This research provides valuable insights for professionals in the field, presenting a methodology applicable to a broad range of analytical applications while underscoring the critical role of raw data analysis in achieving accurate and reliable results.

Employing Mesoporous Nitrogen Containing Carbon for Simultaneous Electrochemical Detection of Heavy Metal Ions.

Heavy metal ions are major contributors to water pollution, posing significant threats to both ecological balance and human health due to their carcinogenic properties. The increasing need for heavy metal detection highlights the advantages of electrochemical methods, which offer high sensitivity and efficiency. Herein mesoporous nitrogen containing carbon (MNC) was utilized for the simultaneous determination of heavy metals using square wave voltammetry technique in the established conditions of a buffer pH of 5.0. MNC demonstrated low detection limits (1, 10 and 50 μM), wide linear ranges (1 μM-6 mM, 10 μM-7 mM and 50 μM-17 mM), and high sensitivities (2.5 μA μM-1 cm-2, 1.03 μA μM-1 cm-2 and 5.14 mA mM-1 cm-2) for, Pb2+, Cd2+ and Cu2+, respectively. Moreover, the reproducibility, and selectivity of the sensor was investigated in the presence of K+, Mg2+, Zn2+, Ni2+, and Fe3+ which are the possible interferents present in water.

Dynamic Stability for Seismic-Excited Earth Retaining Structures Following a Nonlinear Criterion

Based on the upper bound limit analysis, the multi-log spiral failure mechanism for earth retaining structures under horizontal seismic loads was constructed, which could introduce the nonlinear strength criterion into stability analysis without any linearization technique. By calculating various external work rates and the internal energy dissipation, the energy balance equation was established, and the active earth pressure formula required for the retaining structure to be in a critical stable state was derived. With the application of a genetic algorithm and particle swarm optimization, the optimal upper bound solutions of active earth pressure coefficients were obtained. The validity of the research results was verified through comparative analysis. This paper provided diagrams of the active earth pressure coefficients required for earth retaining structures to maintain a critical stability state under different parameters. The influences of seismic load, slope inclination angle, soil strength tension cutoff (TC), and the δ/ϕ ratio were investigated. By investigating the design charts, the active earth pressures applicable to practical engineering can be obtained, which provide a theoretical basis for the preliminary design of retaining structures in earthquake-prone areas.

JWST Captures a Sudden Stellar Outburst and Inner Disk Wall Destruction

Abstract We analyze JWST/MIRI observations of T Cha, a highly variable (ΔV ∼ 3–5 mag) accreting Sun-like star surrounded by a disk with a large (∼15 au) dust gap. We find that the JWST mid-IR spectrum is significantly different from the Spitzer spectrum obtained 17 yr before—the emission at short wavelengths (5–10 μm) has decreased by ∼2/3 while that at longer wavelengths (15–25 μm) has increased by up to a factor of ∼3. The JWST spectrum is contemporaneous with a fairly constant higher optical emission captured by the All Sky Automated Survey. After analyzing and modeling both spectral energy distributions, we propose that JWST caught the star during an outburst that partly destroyed and significantly reduced the height of the asymmetric inner disk wall responsible for the high optical variability and lower 15–25 μm emission during the Spitzer period. The dust mass lost during this outburst is estimated to be comparable (∼1/5) to the upper limit of the total micron-sized dust mass in the inner disk of T Cha now. Monitoring this system during possible future outbursts and more observations of its quiescent state will reveal if the inner disk can be replenished or will continue to be depleted and vanish.