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As wireless communication technology continues to advance, the number of intelligent devices, such as computers, mobile phones, and iPads, is increasing rapidly. To keep up with the growing demand for data and improved network efficiency, additional base stations (BSs) are deployed, and bandwidth allocation is being increased in the sixth-generation (6G) wireless network. While these improvements have enhanced the physical layer of wireless communication, deploying excessive BSs can be costly and may lead to issues such as backhaul congestion and decreased performance. Additionally, frequent and asynchronous access to popular information generates a significant amount of duplicate data, thereby wasting energy and processing resources. Therefore, we use content caching, which involves storing content at the network's edge, such as at BSs or terminal devices. This allows the direct delivery of content to requesters, eliminating the need for backhaul or core network transmission. In this survey paper, we examine state-of-the-art content caching techniques that are specifically designed for mobile edge computing environments. The article classifies the existing content caching scheme into various categories based on a set of parameters, including caching techniques, criteria, location, objective functions, and supporting algorithms. Furthermore, a comprehensive analysis is conducted to investigate the critical aspects of existing schemes. Finally, the study identifies and discusses open research issues and challenges that necessitate further research to enhance content caching schemes. [ABSTRACT FROM AUTHOR]

Early diagnosis is critical for the development and success of interventions, and neuroimaging is one of the most promising areas for early detection of Alzheimer’s disease (AD). This study is aimed to develop a deep learning method to extract valuable AD biomarkers from structural magnetic resonance imaging (sMRI) and classify brain images into AD, mild cognitive impairment (MCI), and cognitively normal (CN) groups. In this work, we adapted and trained convolutional neural networks (CNNs) on sMRI images of the brain from ADNI datasets available in online databases. Our proposed mechanism was used to combine features from different layers to hierarchically transform the images from magnetic resonance imaging into more compact high-level features. The proposed method has a reduced number of parameters which reduces the computation complexity. The method is compared with the existing state-of-the-art works for AD classification, which show superior results for the widely used evaluation metrics, including accuracy, an area under the ROC curve, etc., suggesting that our proposed convolution operation is suitable for the AD diagnosis

The integration of geophysical techniques with hydrological investigation is frequently used for solving different geological and environmental problems including groundwater quality and exploration and seismic vulnerability assessment. In this research, the shallow geophysical techniques comprising of electrical resistivity profiling, vertical electrical sounding, and ground magnetic were used to identify the contaminated areas lying in the upstream and downstream of Almisk Lake in Jeddah. The chemical analyses of water samples collected from the wells located in the downstream and upstream areas were used to support these results as an increase in the total dissolved solids (TDS) shows a decrease in the resistivity value. The results of geophysical techniques and hydrochemical analyses show that the TDS values are significantly higher in the upstream area of dam than those of the downstream, which suggests that the contaminating source is lying in the upstream of the reservoir. Moreover, the dam was not completely successful to block the contamination because of improper base. The hydrochemical analysis and geophysical results clearly indicate that the groundwater is not suitable for drinking and irrigation purposes.

Background Prolonged bleeding from arteriovenous fistulas (AVF) and arteriovenous grafts (AVG) associates with worse outcomes; Within the hemodialysis unit these outcomes include anemia and quality of life disruptions, and outside the hemodialysis unit includes fatal hemorrhage. However, various guidelines for AVF/AVG bleeding management inside and outside the hemodialysis unit lack consensus. Methods A scoping review was conducted of four databases, from inception to 17 February 2024. The study population was hemodialysis patients experiencing bleeding from AVF or AVG. Studies that assessed non-operative management were included. Results Sixteen studies met inclusion criteria. Most (14/16) addressed post-cannulation bleeding from AVF/AVG within the dialysis unit. Compared with standard dressings, hemostatic dressings (chitosan-, cellulose- or thrombin-based) decreased post-cannulation bleeding time at arterial and venous site 35.7%–84.0% (P  < .05) and 38.5%–78.7% (P  < .05), respectively. Use of chitosan-based dressings decreased percentage of patients bleeding 4-min post-cannulation by 16.3%–39.2%. One pilot observational study demonstrated no access thromboses or infections with short-term use of a compression device within the hemodialysis unit. However, the role of compression devices and tourniquets within the dialysis unit remains unclear, despite widespread use. Long-term AVF/AVG survival was not reported in any study. Limited research confirms that devices are effective in prevention of catastrophic out-of-hospital bleeding. It remains uncertain if device availability enhances patient confidence in managing out-of-hospital bleeding. This may impact patient choices around dialysis modality, access and transplant, but this remains uncertain. Conclusions In hemodialysis patents with bleeding from AVF/AVG, several alternative dressings or devices decrease post-cannulation bleeding time within the hemodialysis unit. Existing research has not established criteria on when it might be appropriate to use specialized dressings. There is very limited research on methods to control bleeding from AVF/AVG outside the hemodialysis unit. More data are required before evidence-based guidelines can be made. Recommendations for future research are provided. [ABSTRACT FROM AUTHOR]

Desulfurization of Pakistani coal has been carried out through alkaline leaching. During present experimental investigation, the effect of operating parameters like alkali concentration, time, temperature and particle size has also been analyzed, graphically represented and critically discussed. Parametric optimization of leaching process has been carried out by using response surface methodology (RSM) based on central composite design (CCD). The analysis of variance (ANOVA) was performed in order to assess the highest level interactions of variables and three way interactions were observed signifi cant. Further, the optimum value of total sulfur removal was observed as 53% when the operatic conditions fi xed at 10% W/V, 60 min, 80oC and 140 mesh for alkaline concentration, leaching time, temperature and particle size, respectively.

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The purpose of this study is to examine the viability, precision, and consistency of a computer-based optokinetic nystagmus analyzer (nystagmus meter) for diagnosing eyesight in preschoolers. A total of 59 subjects who could pass the log of minimum angle of resolution (LogMAR) visual acuity chart were divided into three groups by age, 4-, 5-, and 6-year-old groups, and their visual acuity was tested with nystagmus meter. The percentage of children in each age group that could be detected by nystagmus was recorded along with the differences between these groups. The correlation between the test results from the two methods was found for each age group using the correlation coefficient method. Repeated measurements were used to assess the two visual acuity values of the measured nystagmus, and the repeatability of the two measurement techniques for different age groups was compared. The overall measurability of the visual acuity detected by nystagmus was 93.22%, and the measurability of the 4-, 5-, and 6-year-old groups was 90%, 95%, and 94.74%, respectively. There was no statistically significant difference in the measurability of subjects among all age groups (P = 1.0). The outcomes of the LogMAR visual acuity chart had a negative correlation with the visual acuity measured by the nystagmus meter. The overall correlation coefficient R value was -0.80, and the correlation coefficient R value of the 4-, 5-, and 6-year-old groups was -0.79, -0.76, and -0.87, respectively. The nystagmus meter has good feasibility, accuracy, and stability in visual acuity testing and can be used for visual acuity testing in children. [ABSTRACT FROM AUTHOR]

Despite substantial advances in cancer biology and treatment, the clinical outcomes of patients with lung cancer remain unsatisfactory. The tumor microenvironment (TME) is a potential target. Using single‐cell RNA sequencing, we could distinguish eight distinct cell types in the lung cancer microenvironment, demonstrating substantial intratumoral heterogeneity in 19 different lung cancer tumor samples. Through the re‐dimensional grouping of cancer‐associated fibroblasts (CAFs), myeloid cells, epithelial cells, natural killer (NK) cells, and T cells, the difference in the TME of lung cancer was revealed. We discovered SFTPB, SFN, and KRT8 as possible predictive biomarkers for lung cancer by assessing the gene expression patterns in epithelial cells. Examining cell‐to‐cell communications showed a robust association between the quantity of matrix CAFs, epithelial cells, and macrophages in the thrombospondin signaling pathway. Additionally, we found that the amyloid precursor protein signaling pathway primarily originated from the matrix, and inflammatory cancer‐associated endothelial and fibroblast cells showed a co‐expression relationship with myeloid cells and B cells. Through cell‐to‐cell correlation analysis, we found positive regulation between NK cells, regulatory T cells, GZMB‐CD8 T cells, and GZMK‐CD8 T cells, which could play a role in developing immune TMEs. These findings support studies on cancer heterogeneity and add to our understanding of lung cancer's cellular microenvironment. [ABSTRACT FROM AUTHOR]