554 research outputs found

    Self-Supervised Texture Image Anomaly Detection By Fusing Normalizing Flow and Dictionary Learning

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    A common study area in anomaly identification is industrial images anomaly detection based on texture background. The interference of texture images and the minuteness of texture anomalies are the main reasons why many existing models fail to detect anomalies. We propose a strategy for anomaly detection that combines dictionary learning and normalizing flow based on the aforementioned questions. The two-stage anomaly detection approach already in use is enhanced by our method. In order to improve baseline method, this research add normalizing flow in representation learning and combines deep learning and dictionary learning. Improved algorithms have exceeded 95%\% detection accuracy on all MVTec AD texture type data after experimental validation. It shows strong robustness. The baseline method's detection accuracy for the Carpet data was 67.9%. The article was upgraded, raising the detection accuracy to 99.7%

    Highly active air electrode catalysts for Zn‐air batteries: Catalytic mechanism and active center from obfuscation to clearness

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    Carbon‐based materials have been found to accelerate the sluggish kinetic reaction and are largely subject to the overall Zn‐air batteries (ZABs) property, while their full catalytic mechanism is still not excavated because of the indistinct internal structure and immature in‐situ technology. Up to now, systematic methods have been utilized to study and design promising high‐performance carbon‐based catalysts. To resolve the real active units and catalytic mechanism, developing molecular catalyst is a significant strategy. Herein, the review will initiate to briefly introduce the working principle and composition of ZABs. An important statement is correspondingly provided about the typical structure and catalytic mechanisms for the air cathode material. It also presents the tremendous endeavors on the catalytic performance and stability of carbon‐based material. Furthermore, combined with theoretical calculation, the self‐defined active sites are analyzed to understand the catalytic character, where the molecular catalyst is subsequently summarized and discussed through highlighting the unambiguous and controllable structure, in the hope of surfacing the optimum catalyst. Building on the fundamental understanding of carbon‐based and molecular catalysts, this review is expected to provide guidance and direction toward designing future mechanistic studies and ORR electrocatalysts

    The Effect of Bundled Payment on Emergency Department Use: Alternative Quality Contract Effects After Year One

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    ObjectivesThe objective was to identify the effect of the Alternative Quality Contract (AQC), a global payment system implemented by Blue Cross Blue Shield (BCBS) of Massachusetts in 2009, on emergency department (ED) presentations.MethodsBlue Cross Blue Shield of Massachusetts claims from 2006 through 2009 for 332,624 enrollees whose primary care physicians (PCPs) enrolled in the AQC, and 1,296,399 whose PCPs were not enrolled in the AQC, were evaluated. A pre–post, intervention–control, propensity‐scored difference‐in‐difference approach was used to isolate the AQC effect on ED visits. The analysis adjusted for age, sex, health status, and secular trends to compare ED use between the treatment and control groups.ResultsOverall, secular trends showed that the number of ED visits decreased slightly for both treatment and control groups. The adjusted analysis of the AQC group showed decreases from 0.131 to 0.127 visits per member/quarter, and the control group decreased from 0.157 to 0.152 visits per member/quarter. The difference‐in‐difference analysis showed the AQC had no statistically significant effect on total ED use compared to the control group.ConclusionsIn the first year of this AQC, we did not find evidence of change in aggregate ED use. Similar global budget programs may not alter ED use in the initial implementation period.ResumenEfecto del Pago Combinado en el Uso del Servicio de Urgencias: Los Efectos del Alternative Quality Contract tras un AñoObjetivosIdentificar el efecto del Alternative Quality Contract (AQC), un sistema de pago global implementado por el Blue Cross Blue Shield de Massachusetts en 2009, en las visitas a los servicios de urgencias (SU).MetodologíaSe evaluaron los 332.624 miembros cuyo médico de atención primaria (MAP) estaba incluido en el AQC y los 1.296.399 cuyo MAP no estaba incluido en el AQC del Blue Cross Blue Shield de Massachusetts de 2006 hasta 2009. Para identificar el efecto del AQC en las visitas al SU, se utilizó un diseño pre‐post, intervención‐control, con una aproximación por puntuación de propensión diferencia en diferencia. El análisis se ajustó por edad, sexo, estado de salud y tendencias seculares para comparar el uso del SU entre los grupos tratamiento y control.ResultadosDel total, las tendencias seculares mostraron que el número de visitas al SU descendió discretamente tanto para el grupo tratamiento como control. El análisis ajustado del grupo AQC mostró un descenso de 0,131 a 0,127 visitas por miembro/cuartil, y el grupo control descendió de 0,157 a 0,152 visitas por miembro/cuartil. El análisis de diferencia en diferencia mostró que el AQC no tuvo efecto estadísticamente significativo en el uso total del SU en comparación con el grupo control.ConclusionesEn su primer año, el AQC no tuvo un efecto significativo en el uso del SU. PLos programas económicos globales similares pueden no alterar la utilización del SU en el periodo inicial de implementación.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/112205/1/acem12205-sup-0001-DataSupplementS1.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/112205/2/acem12205.pd

    Association of Insurance Expansion With Surgical Management of Thyroid Cancer

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    Importance: To our knowledge, thyroid cancer incidence is increasing faster than any other cancer type and is currently the fifth most common cancer among women. While this rise is likely multifactorial, there has been scarce consideration of the effect of insurance statuses on the treatment of thyroid cancer. Objective: We evaluate the association of insurance expansion with thyroid cancer treatment using the 2006 Massachusetts health reform, which serves as a unique natural experiment. Design, Setting, and Participants: We used the Agency for Healthcare Research and Quality State Inpatient Databases to identify patients with government-subsidized or self-pay insurance or private insurance who were admitted to a hospital with thyroid cancer and underwent a thyroidectomy between 2001 and 2011 in Massachusetts (n = 8534) and 3 control states (n = 48 047). Difference-in-differences models were used to evaluate an association between the 2006 Massachusetts health care reform and thyroid cancer treatment, and participants were controlled for age, sex, comorbidities, and secular trends. Main Outcomes and Measures: Change in the thyroidectomy rate for thyroid cancer treatment was the primary outcome evaluated. Results: The Massachusetts cohort consisted of 6443 women (75.5%) and 2091 men (24.5%), of whom 6388 (79.6%) were white, 391 (4.9%) were black, 527 (6.6%) were Hispanic, 424 (5.3%) were Asian/Pacific Islander, 63 (0.8%) were Native American, and 228 (2.8%) were other. The participants from control states included 36 818 women (76.6%) and 11 229 men (23.4%), of whom 30 432 (65.5%) were white, 3818 (8.2%) were black, 6462 (13.9%) were Hispanic, 2591 (5.6%) were Asian/Pacific Islander, 211 (0.5%) were Native American, and 2947 (6.3%) were other. Before the 2006 Massachusetts insurance expansion, patients with government-subsidized or self-pay insurance had lower thyroidectomy rates for thyroid cancer in Massachusetts and the control states compared with patients with private insurance. The Massachusetts insurance expansion was associated with a 26% increased rate of undergoing a thyroidectomy (incident rate ratio, 1.26; 95% CI, 1.04-1.52; P = .02) and a 22% increased rate of neck dissection (incident rate ratio, 1.22; 95% CI, 1.07-1.37; P = .002) for treating cancer compared with control states. Conclusions and Relevance: The 2006 Massachusetts health reform, which is a model for the Affordable Care Act, was associated with a 26% increased rate of thyroidectomy for treating thyroid cancer. Our study suggests that insurance expansion may be associated with increased access to the surgical management of thyroid cancer. Further studies need to be conducted to evaluate the effect of healthcare expansion at a national level

    QuantumSEA: In-Time Sparse Exploration for Noise Adaptive Quantum Circuits

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    Parameterized Quantum Circuits (PQC) have obtained increasing popularity thanks to their great potential for near-term Noisy Intermediate-Scale Quantum (NISQ) computers. Achieving quantum advantages usually requires a large number of qubits and quantum circuits with enough capacity. However, limited coherence time and massive quantum noises severely constrain the size of quantum circuits that can be executed reliably on real machines. To address these two pain points, we propose QuantumSEA, an in-time sparse exploration for noise-adaptive quantum circuits, aiming to achieve two key objectives: (1) implicit circuits capacity during training - by dynamically exploring the circuit's sparse connectivity and sticking a fixed small number of quantum gates throughout the training which satisfies the coherence time and enjoy light noises, enabling feasible executions on real quantum devices; (2) noise robustness - by jointly optimizing the topology and parameters of quantum circuits under real device noise models. In each update step of sparsity, we leverage the moving average of historical gradients to grow necessary gates and utilize salience-based pruning to eliminate insignificant gates. Extensive experiments are conducted with 7 Quantum Machine Learning (QML) and Variational Quantum Eigensolver (VQE) benchmarks on 6 simulated or real quantum computers, where QuantumSEA consistently surpasses noise-aware search, human-designed, and randomly generated quantum circuit baselines by a clear performance margin. For example, even in the most challenging on-chip training regime, our method establishes state-of-the-art results with only half the number of quantum gates and ~2x time saving of circuit executions. Codes are available at https://github.com/VITA-Group/QuantumSEA.Comment: IEEE International Conference on Quantum Computing and Engineering (QCE 2023

    Research on the relationship between carbon performance and financial performance of electric power enterprises under the background of “dual carbon”

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    Under the background of “dual carbon,” the power industry, as a pillar industry of the national economy, is ushering in changes. Based on the data of listed companies in the electric power production and supply industry from 2010 to 2020, this paper takes the operating income corresponding to each unit of carbon emission as the substitute variable of carbon performance (CP). After dimensionality reduction of 12 financial indicators through factor analysis, this paper establishes a comprehensive indicator of financial performance (FP), and establishes panel data to explore the relationship between CP and FP of electric power enterprises. To mitigate the endogeneity problem, 2SLS regression was performed using instrumental variables. The results show that CP has a positive and sustainable impact on the FP, which indicates that power enterprises need to pay attention to the long-term management of carbon emission reduction, so that the improvement of FP of enterprises can achieve sustainable development, which is in line with the expectations of Porter’s hypothesis and stakeholder theory. In addition, firm size plays a negative moderating role in the relationship between CP and FP. The research results provide a path and basis for encouraging power enterprises to improve CP and help China achieve the goal of “dual carbon” as soon as possible
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