sj-pdf-1-epm-10.1177_00131644231191298 – Supplemental material for An Ensemble Learning Approach Based on TabNet and Machine Learning Models for Cheating Detection in Educational Tests

Supplemental material, sj-pdf-1-epm-10.1177_00131644231191298 for An Ensemble Learning Approach Based on TabNet and Machine Learning Models for Cheating Detection in Educational Tests by Yang Zhen and Xiaoyan Zhu in Educational and Psychological Measurement</p

data

The data of 'Software Change Proneness Prediction Through Combination of Bagging and Re-sampling Methods

Change Prone Prediction

Source files of 'Software Change Proneness Prediction Through Combination of Bagging and Re-sampling Methods

Managing component degradation in series systems for balancing degradation through reallocation and maintenance

In a physical system, components are usually installed in fixed positions that are known as operating slots. Due to such reasons as user behavior and imbalanced workload, a component’s degradation can be affected by the corresponding installation position in the system. As a result, components degradation levels can be significantly different even when the components come from a homogeneous population. Dynamic reallocation of the components among the installation positions is a feasible way to balance the extent of the degradation, and hence, extend the time from system installation to its replacement. In this study, we quantify the benefit of incorporating reallocation into the condition-based maintenance framework for series systems. The degradation of components in the system is modeled as a multivariate Wiener process, where the correlation between the degradation is considered. Under the periodic inspection framework, the optimal control limits for reallocation and preventive replacement are investigated. We first propose a reallocation policy of two-component systems, where the degradation process with reallocation and replacement is formulated as a semi-regenerative process. Then the long-run average operational cost is computed based on the stationary distribution of its embedded Markov chain. We then generalize the model to general series systems and use Monte Carlo simulations to approximate the maintenance cost. The optimal thresholds for reallocation and replacement are obtained from a stochastic response surface method using a stochastic kriging model. We further generalize the model to the scenario of an unknown degradation rate associated with each slot. The proposed model is applied to the tire system of a car and the battery system of hybrid-electric vehicles, where we show that the reallocation policy is capable of significantly reducing the system’s long-run average operational cost.</p

DataExtract

data extract of 'Software Change Proneness Prediction Through Combination of Bagging and Re-sampling Methods

Long-lasting complete response to SHR-1701 plus famitinib in refractory advanced gallbladder cancer: A case report

Biliary tract cancer (BTC) is an aggressive malignancy with few options for advanced-stage treatment. The combination of PD-1/PD-L1 inhibitors with famitinib, a receptor tyrosine kinase (RTK) inhibitor, has demonstrated improved clinical outcomes in several clinical trials. We herein reported a case of a gallbladder cancer (GBC) patient with liver metastases, previously resistant to traditional chemotherapy. Remarkably, the patient achieved a complete response (CR) with a long-lasting survival benefit exceeding 3 years. This was achieved using a novel regimen combining SHR-1701, an anti-PD-L1/TGF-βR fusion protein, and famitinib, even though the patient had proficient mismatch repair (pMMR) and tested negative for PD-L1. Adverse events were limited and manageable. This is the first report of such a treatment regimen being applied in a clinical setting, suggesting that the SHR-1701 and famitinib combination may be a promising immunotherapeutic approach for patients with refractory advanced GBC.</p

A Proportional Intensity Model with Frailty for Missing Recurrent Failure Data

In some practical circumstances, data are recorded after the systems have begun operations, and data collection is stopped at a predetermined time or after a predetermined number of failures. In such circumstances, incompleteness of various types exists in the aspect of the missing number of failures and their occurrence times beyond the duration of the pilot study. Additionally, multiple repairable systems may present system-to-system variability caused by differences in the operating environments or working loads of individual systems. With respect to left-truncated and right-censored recurrent failure data from multiple repairable systems, we propose a reliability model based on a proportional intensity model with frailty. The frailty model explicitly models unobserved heterogeneity among systems. Covariates incorporated into the proportional intensity model additionally account for the heterogeneity between different operating conditions. To estimate the model parameters for the left-truncated and right-censored recurrent failure data, a Monte Carlo expectation maximization algorithm is proposed. Details of the estimation of the model parameters and the construction of their confidence intervals are examined. A real-world example and simulation studies under various scenarios show prominent applications of the proportional intensity model with frailty to left-truncated and right-censored multiple repairable systems for reliability prediction.1</p

Synthesis of Ladder-Type 9,9′-Bifluorenylidene-Based Conjugated Oligomers via a Pd-Catalyzed Tandem Suzuki Coupling/Heck Cyclization Approach

For new ladder-type oligomers and polymers with versatile and robust synthetic strategies, in this study, four fully conjugated ladder-type overcrowded 9,9′-bifluorenylidene-based compounds and oligomers (BFY1, BFY2, BFY3, and BFY4) were synthesized via a Pd-catalyzed tandem Suzuki coupling/Heck cyclization reaction. By monomer screening and route optimization, the target products were obtained in high yields and characterized by 1H and 13C NMR spectroscopy and high resolution mass spectroscopy

Synthesis of Fused-Ring Derivatives Containing Bifluorenylidene Units via Pd-Catalyzed Tandem Multistep Suzuki Coupling/Heck Cyclization Reaction

A series of bifluorenylidene derivatives has been facilely synthesized via a palladium-catalyzed tandem multistep Suzuki cross-coupling and Heck cyclization in one pot. The tandem reaction involves two sequential Suzuki couplings and a subsequent Heck cyclization. The target products are obtained in good yields up to 94%. Even in an extended conjugated substrate, the anticipated products can be prepared

sj-tif-1-cll-10.1177_09636897221104447 – Supplemental material for Sevoflurane Inhibits Metastasis in Hepatocellular Carcinoma by Inhibiting MiR-665-Induced Activation of the ERK/MMP Pathway

Supplemental material, sj-tif-1-cll-10.1177_09636897221104447 for Sevoflurane Inhibits Metastasis in Hepatocellular Carcinoma by Inhibiting MiR-665-Induced Activation of the ERK/MMP Pathway by Xiaoyan Zhu, Chuchu Peng, Zhiyong Peng, Ruimin Chang and Qulian Guo in Cell Transplantation</p