Recent Advances of CeO2-Based Composite Materials for Photocatalytic Applications.

Photocatalysis has the advantages of practical, sustainable and environmental protection, so it plays a significant role in energy transformation and environmental utilization. CeO2 has attracted widespread attention for its unique 4 f electrons, rich defect structures, high oxygen storage capacity and great chemical stability. In this paper, we review the structure of CeO2 and the common methods for the preparation of CeO2-based composites in the first part. In particular, we highlight the co-precipitation method, template method, and sol-gel method methods. Then, in the second part, we introduce the application of CeO2-based composites in photocatalysis, including photocatalytic CO2 reduction, hydrogen production, degradation, selective organic reaction, and photocatalytic nitrogen fixation. In addition, we discuss several modification techniques to improve the photocatalytic performance of CeO2-based composites, such as elemental doping, defect engineering, constructing heterojunction and morphology regulation. Finally, the challenges faced by CeO2-based composites are analyzed and their development prospects are prospected. This review provides a systematic summary of the recent advance of CeO2-based composites in the field of photocatalysis, which can provide useful references for the rational design of efficient CeO2-based composite photocatalysts for sustainable development.

Toward an Applied Cyber Security Solution in IoT-Based Smart Grids: An Intrusion Detection System Approach.

We present an innovative approach for a Cybersecurity Solution based on the Intrusion Detection System to detect malicious activity targeting the Distributed Network Protocol (DNP3) layers in the Supervisory Control and Data Acquisition (SCADA) systems. As Information and Communication Technology is connected to the grid, it is subjected to both physical and cyber-attacks because of the interaction between industrial control systems and the outside Internet environment using IoT technology. Often, cyber-attacks lead to multiple risks that affect infrastructure and business continuity; furthermore, in some cases, human beings are also affected. Because of the traditional peculiarities of process systems, such as insecure real-time protocols, end-to-end general-purpose ICT security mechanisms are not able to fully secure communication in SCADA systems. In this paper, we present a novel method based on the DNP3 vulnerability assessment and attack model in different layers, with feature selection using Machine Learning from parsed DNP3 protocol with additional data including malware samples. Moreover, we developed a cyber-attack algorithm that included a classification and visualization process. Finally, the results of the experimental implementation show that our proposed Cybersecurity Solution based on IDS was able to detect attacks in real time in an IoT-based Smart Grid communication environment.

An IoT-Based Anonymous Function for Security and Privacy in Healthcare Sensor Networks.

In the age of the Internet of Things, connected devices are changing the delivery system in the healthcare communication environment. With the integration of IoT in healthcare, there is a huge potential for improvement of the quality, safety, and efficiency of health care in addition to promising technological, economical, and social prospects. Nevertheless, this integration comes with security risks such as data breach that might be caused by credential-stealing malware. In addition, the patient valuable data can be disclosed when the perspective devices are compromised since they are connected to the internet. Hence, security has become an essential part of today's computing world regarding the ubiquitous nature of the IoT entities in general and IoT-based healthcare in particular. In this paper, research on the algorithm for anonymizing sensitive information about health data set exchanged in the IoT environment using a wireless communication system has been presented. To preserve the security and privacy, during the data session from the users interacting online, the algorithm defines records that cannot be revealed by providing protection to user's privacy. Moreover, the proposed algorithm includes a secure encryption process that enables health data anonymity. Furthermore, we have provided an analysis using mathematical functions to valid the algorithm's anonymity function. The results show that the anonymization algorithm guarantees safety features for the considered IoT system applied in context of the healthcare communication systems.

Plasmid-based Stat3-specific siRNA and GRIM-19 inhibit the growth of thyroid cancer cells in vitro and in vivo.

It has been shown that overexpression of signal transducer and activator of transcription 3 (Stat3) contribute to the progression and metastasis of various solid tumors and that silencing Stat3 inhibits tumor growth in several types of cancer. Gene associated with retinoid-IFN-induced mortality 19 (GRIM-19), a Stat3-inhibitory protein, was identified as a potential tumor suppressor associated with growth inhibition and cell apoptosis by targeting the transcription factor Stat3 for inhibition. However, little is known about Stat3 and GRIM-19 roles in the tumor growth of thyroid carcinoma cells. In the present study, we developed a dual expression plasmid that co-expressed Stat3-specific siRNA and GRIM-19 (pSi-Stat3-GRIM-19) and transfected it into SW579 cells (thyroid carcinoma cell line) to evaluate its effects on cell proliferation, cell apoptosis, cell migration and cell invasion in vitro and tumor growth in vivo. Simultaneous expression of pSi-Stat3-GRIM-19 in SW579 cancer cells was found to significantly suppress the proliferation, migration and invasion in vitro and tumor growth in vivo, when compared to the controls either Stat3-specific siRNA or GRIM-19 alone. In conclusion, our data demonstrated that a combined strategy of co-expressed Stat3-specific siRNA and GRIM19 synergistically and more effectively suppressed thyroid tumor growth, and have therapeutic potential for the treatment of thyroid cancer.