1,370 research outputs found
Financial Fraud, Governance, and Survival in Congregations: An Empirical Assessment of Congregational Fraud in the United States Based on Cases Prosecuted by the US Department of Justice
Congregations are distinct from other non-profits due to their high-trust environment, membership, and external governance. This manuscript examines financial fraud among congregations. We collect 104 cases of congregational financial frauds announced by the United States Department of Justice between the years 2013 and 2018. The data show that fraud is more likely to result in dissolution of a congregation when it is committed by clergy than by other church staff. One protection mechanism against fraud is the external governance provided by denominational affiliation. A fraud in a denominational congregation is of smaller magnitude and less likely to cause congregation dissolution
Generalized Random Utility Models with Multiple Types
We propose a model for demand estimation in multi-agent, differentiated product settings and present an estimation algorithm that uses reversible jump MCMC techniques to classify agents' types. Our model extends the popular setup in Berry, Levinsohn and Pakes (1995) to allow for the data-driven classification of agents' types using agent-level data. We focus on applications involving data on agents' ranking over alternatives, and present theoretical conditions that establish the identifiability of the model and uni-modality of the likelihood/posterior. Results on both real and simulated data provide support for the scalability of our approach.EconomicsEngineering and Applied SciencesMathematic
Fuzzy logic damping controller for FACTS devices in interconnected power systems
Fuzzy controllers are designed for flexible AC transmission systems (FACTS) in interconnected power systems. Two typical FACTS devices, a static synchronous compensator (STATCOM) and a unified power flow controller (UPFC), are used as examples to show that FACTS devices with well-designed fuzzy controllers can significantly improve the dynamic behavior of interconnected power systems.published_or_final_versio
Rapid Synthesis of Dittmarite by Microwave-Assisted Hydrothermal Method
Dittmarite was obtained using MgO and (NH4)2HPO4 as raw materials via microwave-assisted hydrothermal method for 3 min at 120°C. The resulting samples were investigated by X-ray powder diffraction, scanning electron microscopy, Fourier transform infrared spectroscopy, and thermogravimetry-differential thermal analysis. The results indicate that dittmarite can be rapidly synthesized by microwave-assisted hydrothermal method. With higher temperature and longer reaction time, highly crystallized dittmarite can be obtained. Pure dittmarite can be synthesized for 3 min at 120°C, which is faster than with the use of any other reported methods
Survival Fate of Hepatic Stem/Progenitor and Immune Cells in a Liver Fibrosis/Cirrhosis Animal Model and Clinical Implications
This chapter provides novel information about the survival features of hepatic resident stem/progenitor cells (NG2+ HSPs) during liver fibrosis/cirrhotic development. A well-defined diethylnitrosamine (DEN)-induced liver fibrosis/cirrhotic/cancer mouse model was developed to evaluate the fate of the HSPs and its clinical implications. This model possess three time-zones during the disease development: fibrosis (3–5 weeks post-DEN), cirrhosis (6–10 weeks post-DEN), and cancers (up to 10 weeks post-DEN). During this process, the model represents histological patterns similar to those described in humans and shows better survival of the HSPs in the fibrotic zone, which was correlated with inflammatory signals, as compared to the cirrhotic zone. It has also been discovered that immune CD8+ T cells in the fibrotic zone are beneficial in liver fibrosis resolution, suggesting that the fibrotic time zone is important for mobilizing endogenous HSPs and cell-based therapy. As such, we hypothesize that clinical strategies in fibrotic/cirrhotic liver treatment are necessary either in time at the fibrotic phase or to adopt an approach of regulating HSP viability when the disease develops into the cirrhotic phase
A panel based on three-miRNAs as diagnostic biomarker for prostate cancer
Background: Prostate cancer (PCa) is one of the most prevalent malignancies affecting the male life cycle. The incidence and mortality of prostate cancer are also increasing every year. Detection of MicroRNA expression in serum to diagnose prostate cancer and determine prognosis is a very promising non-invasive modality.Materials and method: A total of 224 study participants were included in our study, including 112 prostate cancer patients and 112 healthy adults. The experiment consisted of three main phases, namely, the screening phase, the testing phase, and the validation phase. The expression levels of serum miRNAs in patients and healthy adults were detected using quantitative reverse transcription-polymerase chain reaction. Receiver operating characteristic (ROC) curves and the area under the curve (AUC) were used to evaluate the diagnostic ability, specificity, and sensitivity of the candidate miRNAs.Result: Eventually, three miRNAs most relevant to prostate cancer diagnosis were selected, namely, miR-106b-5p, miR-129-1-3p and miR-381-3p. We used these three miRNAs to construct a diagnostic panel with very high diagnostic potential for prostate cancer, which had an AUC of 0.912 [95% confidence interval (CI): 0.858 to 0.950; p < 0.001; sensitivity = 91.67%; specificity = 79.76%]. In addition, the three target genes (DTNA, GJB1, and TRPC4) we searched for are also expected to be used for prostate cancer diagnosis and treatment in the future
A four-microRNA panel in serum may serve as potential biomarker for renal cell carcinoma diagnosis
BackgroundRenal cell carcinoma (RCC) is one out of the most universal malignant tumors globally, and its incidence is increasing annually. MicroRNA (miRNA) in serum could be considered as a non-invasive detecting biomarker for RCC diagnosis.MethodA total of 224 participants (112 RCC patients (RCCs) and 112 normal controls (NCs)) were enrolled in the three-phrase study. Reverse transcription quantitative PCR (RT-qPCR) was applied to reveal the miRNA expression levels in RCCs and NCs. Receiver operating characteristic (ROC) curves and the area under the ROC curve (AUC) were utilized to predict the diagnostic ability of serum miRNAs for RCC. Bioinformatic analysis and survival analysis were also included in our study.ResultsCompared to NCs, the expression degree of miR-155-5p, miR-224-5p in serum was significantly upregulated in RCC patients, and miR-1-3p, miR-124-3p, miR-129-5p, and miR-200b-3p were downregulated. A four-miRNA panel was construed, and the AUC of the panel was 0.903 (95% CI: 0.847–0.944; p < 0.001; sensitivity = 75.61%, specificity = 93.67%). Results from GEPIA database indicated that CHL1, MPP5, and SORT1 could be seen as promising target genes of the four-miRNA panel. Survival analysis of candidate miRNAs manifested that miR-155-5p was associated with the survival rate of RCC significantly.ConclusionsThe four-miRNA panel in serum has a great potential to be non-invasive biomarkers for RCC sift to check
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