This scoping review examines the use of CRISPR/Cas9 gene editing in glioblastoma (GBM), a predominant and aggressive brain tumor. Categorizing gene targets into distinct groups, this review explores their roles in cell cycle regulation, microenvironmental dynamics, interphase processes, and therapy resistance reduction. The complexity of CRISPR-Cas9 applications in GBM research is highlighted, providing unique insights into apoptosis, cell proliferation, and immune responses within the tumor microenvironment. The studies challenge conventional perspectives on specific genes, emphasizing the potential therapeutic implications of manipulating key molecular players in cell cycle dynamics. Exploring CRISPR/Cas9 gene therapy in GBMs yields significant insights into the regulation of cellular processes, spanning cell interphase, renewal, and migration. Researchers, by precisely targeting specific genes, uncover the molecular orchestration governing cell proliferation, growth, and differentiation during critical phases of the cell cycle. The findings underscore the potential of CRISPR/Cas9 technology in unraveling the complex dynamics of the GBM microenvironment, offering promising avenues for targeted therapies to curb GBM growth. This review also outlines studies addressing therapy resistance in GBM, employing CRISPR/Cas9 to target genes associated with chemotherapy resistance, showcasing its transformative potential in effective GBM treatments.

This paper provides a comprehensive overview of the latest Field Programmable Gate Array (FPGA) technologies that are being used to enhance smart and sustainable agriculture practices. The review was conducted using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) instructions as a report standard and different inclusion and exclusion criteria were utilized. To ensure data accuracy, reduce bias, and manage references, the Zotero tool was used. The agriculture industry is facing numerous challenges, such as water scarcity, soil degradation, and climate change, which can be mitigated through the integration of modern technologies. FPGAs have emerged as a promising solution in agriculture due to their high performance, flexibility, and low power consumption. In this paper, we discuss various FPGA-based solutions that are being developed to address key agricultural challenges, including precision farming, crop monitoring, livestock management, and environmental sensing. Authors also review FPGA architectures and programming tools that are specifically designed for agricultural applications. The use of FPGA-based systems in precision agriculture has resulted in numerous benefits, including reducing energy consumption, water usage, and temperature while expanding the range of applications. Additionally, the combination of IoT and FPGA is proving to be a promising solution for livestock management, and FPGA technology has also shown promise in energy efficiency and plant disease diagnosis. Overall, FPGA technology has proven to be a valuable tool in various aspects of agriculture, with its use expected to increase in the future.

As a consequence of the progress of the modern mobile medicine, wearable technologies, especially ECG wearables tend to become indispensable part of peoples' lives. As applications and devices for tracking cardiac electrical activity are rapidly entering the market, it is important to compare individual ECG wearable devices. This review takes a systematic approach on the analysis of wearable ECG devices. It provides a detailed introduction on the updated methods, to create a comparison between individual features of devices, and to evaluate techniques for fall risk assessment, diagnosis, and prevention. PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) instructions were used as a report standard. In an effort to collect the appropriate data, various databases were queried together with specific subject-oriented keywords. This was combined with different inclusion and exclusion criteria to find the relevant data. To further improve the data gathering and reduce bias, a Zotero tool was used. The results of this paper show the comparison of the different devices and their features. All findings can be observed in the table and in words. As information for the QardioCore are scarce, all six authors consolidated on the VitalCore being the most accurate ECG wearable device, as its sensitivity and specificity are the highest. Recent advances in wearable ECG devices allow for more trouble free out of clinic fall risk assessment, detection and prevention. As people tend to prefer the comfort of their home over doctors, such progress will assure the everyday emerging of new wearables.