A series of high quality NaFe1−xCuxAs single crystals has been grown by a self-flux technique, which were systematically characterized via structural, transport, thermodynamic, and high pressure measurements. Both the structural and magnetic transitions are suppressed by Cu doping, and bulk superconductivity is induced by Cu doping. Superconducting transition temperature (Tc) is initially enhanced from 9.6 to 11.5 K by Cu doping, and then suppressed with further doping. A phase diagram similar to NaFe1−xCoxAs is obtained except that insulating instead of metallic behavior is observed in extremely overdoped samples. Tc's of underdoped, optimally doped, and overdoped samples are all notably enhanced by applying pressure. Although a universal maximum transition temperature (T max c ) of about 31 K under external pressure is observed in underdoped and optimally doped NaFe1−xCoxAs, T max c of NaFe1−xCuxAs is monotonously suppressed by Cu doping, suggesting that impurity potential of Cu is stronger than Co in NaFeAs. The comparison between Cu and Co doping effect in NaFeAs indicates that Cu serves as an effective electron dopant with strong impurity potential, but part of the doped electrons are localized and do not fill the energy bands as predicted by the rigid-band model.

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Organoids developed from pluripotent stem cells or adult stem cells are three-dimensional cell cultures possessing certain key characteristics of their organ counterparts, and they can mimic certain biological developmental processes of organs in vitro. Therefore, they have promising applications in drug screening, disease modeling, and regenerative repair of tissues and organs. However, the construction of organoids currently faces numerous challenges, such as breakthroughs in scale size, vascularization, better reproducibility, and precise architecture in time and space. Recently, the application of bioprinting has accelerated the process of organoid construction. In this review, we present current bioprinting techniques and the application of bioinks and summarize examples of successful organoid bioprinting. In the future, a multidisciplinary combination of developmental biology, disease pathology, cell biology, and materials science will aid in overcoming the obstacles pertaining to the bioprinting of organoids. The combination of bioprinting and organoids with a focus on structure and function can facilitate further development of real organs.

Dynamic web applications play a vital role in providing resources manipulation and interaction between clients and servers. The features presently supported by browsers have raised business opportunities, by supplying high interactivity in web-based services, like web banking, e-commerce, social networking, forums, and at the same time, these features have brought serious risks and increased vulnerabilities in web applications that enable cyber-attacks to be executed. One of the common high-risk cyber-attack of web application vulnerabilities is cross-site scripting (XSS). Nowadays, XSS is still dramatically increasing and considered as one of the most severe threats for organizations, users, and developers. If the ploy is successful, the victim is at the mercy of the cybercriminals. In this research, a robust artificial neural network-based multilayer perceptron (MLP) scheme integrated with the dynamic feature extractor is proposed for XSS attack detection. The detection scheme adopts a large real-world dataset, the dynamic features extraction mechanism, and MLP model, which successfully surpassed several tests on an employed unique dataset under careful experimentation, and achieved promising and state-of-the-art results with accuracy, detection probabilities, false positive rate, and AUC-ROC scores of 99.32%, 98.35 %, 0.3%, and 99.02%, respectively. Therefore, it has the potentials to be applied for XSS-based attack detection in either the client-side or the server-side.INDEX TERMS Artificial neural network, cross-site scripting attack, detection, multilayer perceptrons, web application security.