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As an innate feature of human beings, gender differences have an influence on various biological phenotypes, yet it does not attract enough attention in genomics studies. The prognosis of multiple carcinomas usually exhibits a favorable ending for female patients, but the neglect of gender differences can cause serious bias in survival analysis. Enhancer RNAs (eRNAs) are mostly downstream of androgens or estrogen. The present study was aimed to screen eRNAs in patients with non-small-cell lung cancer. The findings revealed that eRNA TBX5-AS1 was expressed differently between female and male patients. Meanwhile, its prognostic significance appeared only in male patients with squamous cell carcinoma (SCC) type. The Gene Set Enrichment Analysis proved that the expression level of TBX5-AS1 increased following the activation of the androgen signaling pathway. In pan-cancer analysis, the prognostic prediction based on gender grouping obtained more meaningful results, and the synergy between TBX5-AS1 and its homologous target was more consistent. Furthermore, immunity variations between sexes prompted us to explore the role that TBX5-AS1 played in tumor microenvironment and immunotherapy. The robust evidence proved that male patients with high expression of TBX5-AS1 possessed a malignant immune microenvironment and urgently needed immune checkpoint inhibitor treatment. In conclusion, TBX5-AS1 may be one of the strongest candidates to predict prognosis for male patients with SCC and provide a reference for immunotherapy.

Background: Adenocarcinoma (AD) accounts for more than 30% of pulmonary carcinoma with the highest morbidity and mortality in the world. LncRNA regulates various biological processes and shows great potential to become a therapeutic target for AD patients. Methods: In this research, we combined normal lung tissue sample from the Genotype-Tissue Expression (GTEx) database and AD cohort in the Cancer Genome Atlas (TCGA) project to screen the significant Long non-coding RNAs (lncRNA). Besides, Gene Expression Omnibus (GEO) database and in vitro experiment were applied to subsequent verification. Findings: After screening, we selected PCPB1-AS1 as the core of follow-up research. Bioinformatic analyses indicated that PCBP1-AS1 specifically influenced intratumoral infiltration of T regulatory cell (Treg), which was verified by the experiments based on our cohort and AD cell lines. Meanwhile, ceRNA network suggested that RORA might be potential target of PCBP1-AS1 to regulate the Treg infiltration. In addition, the prediction of response to immune checkpoint inhibitors (ICI) treatment indicated PCBP1-AS1 expression level was able to become reference for ICIs treatment application. Interpretation: The compelling evidence demonstrated he rich biological functions of PCBP1-AS1 and its strong possibility to become the potential target for AD therapy. Funding Statement: National Natural Science Foundation (81672288), Focus on Research and Development Plan in Shandong Province (2018GSF118028) and Natural Science Foundation of Shandong Province (ZR2019PH002). Declaration of Interests: The authors declare that they have no conflict of interest. Ethics Approval Statement: This research was approved by Ethics Review Committee of Shandong Provincial Hospital, and was performed based on the Declaration of Helsinki and Good Clinical Practice guidelines, as defined by the International Conference on Harmonisation.

This paper presents an adaptive Nelder–Mead algorithm to inversely reconstruct the non-uniform strain field from the reflected intensity spectrum of the fiber grating sensor. In this algorithm, the standard operating parameters are modified to adapt to the variable strain profiles, and an improved transfer matrix method is adopted to rapidly calculate the reflected intensity spectrum with a high precision. Thus, the performance of high-dimensional optimization involved in the reconstruction of complex strain distributions is significantly improved. Several numerical examples firstly demonstrate the advantages of the proposed algorithm compared with the standard Nelder–Mead algorithm. Then, experimental investigations are conducted on aluminum alloy plates with central circular hole under tensile and bending loading. A penalty function is added to the objective function to meet the constraints of the optimization variables under experimental conditions. The experimental results are compared with the finite element analysis results, which verifies the effectiveness and accuracy of the proposed algorithm. Finally, we provide some insights about the strain distribution and the resulting spectral distortion. Based on the measured spectrum, a spectral feature parameter (slope of the deflection–intensity ratio) is proposed as an indicator to reveal the size of the hole.

With the rapid increase in information quantity in the Internet of Things (IoT) era, traditional methods of acquiring information can no longer meet the present situation of diversified demand for information acquisition. In this paper, an open general intelligent IoT information service system based on Bluetooth Low Energy (BLE) tags, mobile devices and cloud services is studied and designed. On the one hand, the system deploys the BLE tag in the application object. On the other hand, it automatically selects the BLE tag in real time and obtains the corresponding information of the tag in the cloud through the self-developed Mini Program. Meanwhile, a data storage servicer is designed and developed based on the public cloud to store the BLE tag and the data of application object. After the final multi-scenario test, the system has good scalability, and has the characteristics of real-time, efficient and intelligent.

Embedded systems are vulnerable to buffer overflow attacks. In this paper, we propose a hardware memory monitor module that aims to detect buffer overflow attacks by analyzing the security of an embedded processor at the instruction level. The functionality of the memory monitor module does not rely on the source code and can perform security check through dynamic methods. Compared with several existing countermeasures that protect only part of the program's data space, our proposed memory monitor module can protect the program's entire data space. The proposed memory monitor module has negligible performance overhead because it runs in parallel with the embedded processor. As demonstrated in an FPGA (Field Programmable Gate Array) based prototype, the experimental results show that our memory monitor module can effectively resist several types of buffer overflow attacks with approximately a 15% hardware cost overhead and only a 0.1% performance penalty.