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As one of the most cutting-edge and promising polymer crosslinked network nanoparticle systems. Polymer nano-sized hydrogels (nanogels) have been a hot topic in the biomedical field over the last few decades. Due to their unique characteristics, which include their relatively high drug encapsulation efficiency, ease of preparation, high tunability, low toxicity, high stability in serum and responsive behavior to a range of stimuli to facilitate drug release. Nanogels are thought to be the next generation of drug delivery systems that can completely change the way that drug delivery systems have an impact on patients’ lives. Nanogels have demonstrated significant potential in a variety of fields, including chemotherapy, diagnosis, organ targeting, and delivery of bioactive molecules of different dimensions. However, the lack of substantial clinical data from nanogels becomes one of the major barriers to translating the nanogel concept into a practical therapeutic application for many disease conditions. In addition, nanogel safety profiles have been the major concern that hinders it advancement to the clinical trial phase. This review aims to emphasize the unique properties of nanogels as delivery systems for a variety of bioactive molecules over other nano-delivery systems. Also, this review attempts to give insight into the recent progress in nanogels as a carrier in the field of nanomedicine to overcome complex biological barriers. Relevant scientific data and clinical rationale for the development and the potential use of nanogel as a carrier for targeted therapeutic interventions are discussed. Finally, the concluding points of this review highlight the importance of understanding the long-term toxicity profile of nanogel within the biological system to fully understand their biocompatibility.

High-dose methotrexate (HDMTX) is one of the chemotherapeutic agents used to treat a variety of cancers in both adults and children. However, the toxicity associated with HDMTX has resulted in the spread of infections and treatment interruption. Further, poor bioavailability due to efflux pump activities mediated by P-glycoprotein has also been linked to poor therapeutic effects of methotrexate following oral administrations. D-α-Tocopheryl poly-ethylene glycol 1000 succinate (TPGS) is known to improve the bioavailability of poorly soluble drugs by inhibiting P-gp efflux activities, thus enhancing cellular uptake. Therefore, to achieve improved bioavailability for MTX, this study aimed to design and develop a novel drug delivery system employing TPGS and a biodegradable polymer, i.e., PLGA, to construct methotrexate-loaded nanoparticles fixated in alginate-gelatine 3D printable hydrogel ink to form a solid 3D printed tablet for oral delivery. The results indicated that high accuracy (>95%) of the 3D printed tablets was achieved using a 25 G needle. In vitro, drug release profiles were investigated at pH 1.2 and pH 7.4 to simulate the gastrointestinal environment. The in vitro release profile displayed a controlled and prolonged release of methotrexate over 24 h. The in silico modeling study displayed P-gp ATPase inhibition, suggesting enhanced MTX absorption from the gastrointestinal site. The 3D-printed hydrogel-based tablet has the potential to overcome the chemotherapeutic challenges that are experienced with conventional therapies.

Background: Vulvar cancer is becoming more common in young women owing to the increased prevalence of co-infection with human papillomavirus and HIV.Objectives: The aim of this study was to determine the impact of the time interval from the diagnosis of vulvar cancer at the referring institution to the tertiary hospital and to evaluate the impact of HIV infection in the study population.Method: This was a retrospective descriptive chart review.Results: A total of 86 cases of vulvar cancer were analysed. The mean age was 48.2 ± 12.5. Sixty (69.8%) patients were under 50 years of age and eight (9.3%) under 30 years. The interval from the onset of symptoms to the diagnosis of cancer was 12 months in 63 (73.3%) patients. Eighty-one (94.8%) had had symptoms treated multiple times prior to diagnosis. Seventy (81.4%) were referred to the tertiary institution within 3 months of the diagnosis of cancer. Seventy (81.4%) had concomitant HIV infection. Of those with CD4 counts of 200 cells/mm3, 61.7% had early-stage vulvar cancer, while 38.3% had late-stage disease (P = 0.048). There was no association between the viral load and the Federation of Gynaecology and Obstetrics stage (P = 0.401). The primary treatment was surgery in 50%.Conclusion: Although the study was retrospective, we found that vulvar cancer was prevalent in younger patients with HIV infection. Higher CD4 counts were associated with early-stage disease. Early sampling of suspicious lesions can ensure early diagnosis of vulvar cancer and the initiation of therapeutic interventions, particularly in HIV-infected patients.

Background: A study was conducted to determine the accuracy of preoperative endometrial sampling histology type and tumour grade results compared with the final postoperative diagnosis. Methods: This was a retrospective chart audit of patients with endometrial cancer and atypical hyperplasia admitted to Grey's Hospital in Pietermaritzburg, South Africa, from January 2013 to December 2017. Results: Sixty patients met the inclusion criteria. For endometrial cancer histological types, the accuracy of preoperative endometrial sampling was 94.7% (36/38) for endometrioid adenocarcinoma, 42.9% (3/7) for serous papillary carcinoma, 85.7% (6/7) for carcinosarcoma and 75% (9/12) for atypical hyperplasia. A kappa value of 0.825 was obtained with a p-value of 0.000 for agreement between preoperative endometrial sampling and the final postoperative diagnosis. For endometrioid adenocarcinoma tumour grading 1-3 (G1-3), only 16/38 (42.1%) patients met the criteria to compare the pre- and postoperative results, which were as follows: of the eight patients with grade 1 tumour on preoperative sampling one patient (1.25%) was upgraded to grade 2 tumour postoperatively. There were no changes in tumour grading for grade 2 and 3 tumours, 3/3 and 5/5 respectively. Conclusion: Our study results for endometrioid adenocarcinoma are comparable to previous literature. However, there were significant discrepancies for non-endometrioid adenocarcinoma. Deficiencies that need to be addressed by laboratories in order to improve both preoperative surgical staging and postoperative adjuvant therapy planning were also highlighted.

Throughout the era of the apartheid, the provision and accessibility of infrastructure in South Africa was skewed, and while the minority had access, the majority was overlooked. Local economic development (LED) has rested on the premise that the availability of infrastructure is likely to spur socio-economic development and to lift millions of South Africans out of poverty. However, with South Africa’s economy struggling to register consistent growth, there are difficulties accessing the much-needed finances needed to invest in infrastructure to spur LED. The study that this paper reflects upon used a qualitative research method and a systematic review of the literature relating to infrastructure provision and local economic development. It utilised thematic content analysis to deduce its findings with the hope of bringing in meaning to the overall content of the paper. The study revealed that indeed infrastructure provision is key to local economic development, that South Africa’s infrastructure provision is still skewed as urban areas continue receiving priority over rural areas; that local economic development is key in reducing inequality and spurring economic growth and sustaining the livelihoods of rural dwellers. However, limited investments in infrastructure in rural areas hinder the realization of such benefits. It recommends that the government prioritise LED in rural areas among other suggestions.

Throughout the era of the apartheid, the provision and accessibility of infrastructure in South Africa was skewed, and while the minority had access, the majority was overlooked. Local economic development (LED) has rested on the premise that the availability of infrastructure is likely to spur socio-economic development and to lift millions of South Africans out of poverty. However, with South Africa's economy struggling to register consistent growth, there are difficulties accessing the much-needed finances needed to invest in infrastructure to spur LED. The study that this paper reflects upon used a qualitative research method and a systematic review of the literature relating to infrastructure provision and local economic development. It utilised thematic content analysis to deduce its findings with the hope of bringing in meaning to the overall content of the paper. The study revealed that indeed infrastructure provision is key to local economic development, that South Africa's infrastructure provision is still skewed as urban areas continue receiving priority over rural areas; that local economic development is key in reducing inequality and spurring economic growth and sustaining the livelihoods of rural dwellers. However, limited investments in infrastructure in rural areas hinder the realization of such benefits. It recommends that the government prioritise LED in rural areas among other suggestions.

The desire for wide-field of view, large fractional bandwidth, high sensitivity, high spectral and temporal resolution has driven radio interferometry to the point of big data revolution where the data is represented in at least three dimensions with an axis for spectral windows, baselines, sources, etc; where each axis has its own set of sub-dimensions. The cost associated with storing and handling these data is very large, and therefore several techniques to compress interferometric data and/or speed up processing have been investigated. Unfortunately, averaging-based methods for visibility data compression are detrimental to the data fidelity, since the point spread function (PSF) is position-dependent, i.e. distorted and attenuated as a function of distance from the phase centre. The position dependence of the PSF becomes more severe, requiring more PSF computations for wide-field imaging. Deconvolution algorithms must take the distortion into account in the major and minor cycles to properly subtract the PSF and recover the fidelity of the image. This approach is expensive in computation since at each deconvolution iteration a distorted PSF must be computed. We present two algorithms that approximate these position-dependent PSFs with fewer computations. The first algorithm approximates the position-dependent PSFs in the \\(uv\\)-plane and the second algorithm approximates the position-dependent PSFs in the image-plane. The proposed algorithms are validated using simulated data from the MeerKAT telescope.

Superclusters are the largest objects in the Universe, and they provide a unique opportunity to study how galaxy clusters are born at the junction of the cosmic web as well as the distribution of magnetic fields and relativistic particles beyond cluster volume. The field of radio astronomy is going through an exciting and important era of the Square Kilometer Array (SKA). We now have the most sensitive functional radio telescopes, such as the MeerKAT, which offers high angular resolution and sensitivity towards diffuse and faint radio sources. To study the radio environments around supercluster, we observed the (core part of) {\\it Saraswati} supercluster with the MeerKAT. From our MeerKAT Observation of the {\\it Saraswati} Supercluster (MOSS) project, the initial results of the pilot observations of two massive galaxy clusters, A2631 and ZwCl2341.1+0000, which are located around the dense central part of the {\\it Saraswati} supercluster, were discussed. In this paper, we describe the observations and data analysis details, including direction-dependent calibration. In particular, we focus on the ZwCl2341.1+0000 galaxy cluster, which hosts double radio relics and puzzling diffuse radio source in the filamentary network. We have imaged these double radio relics in our high resolution and sensitive L-band MeerKAT observation and a puzzling radio source, located between relics, in the low-resolution image. We also derived the spectra of double radio relics using MeerKAT and archival GMRT observations. A following papers will focus on the formation of radio relics and halo, as well as radio galaxy properties in a supercluster core environment.

Astronomers performing polarimetric analysis on astronomical images often have to manually identify locations on their objects of interest, such as galaxies, which exhibit the influence of magnetic forces due to interaction with their environments or inherent processes. These locations are known as Lines of Sight (LoS). Analysing the various lines of sight can provide insight into the electromagnetic nature of the astrophysical object in question and its surroundings. For each LoS, astronomers generate diagnostic plots to map out the variation of the corresponding electromagnetic field, such as those of fractional polarisation and Faraday spectra. However, associating the different LoS diagnostic plots to their positions on an astronomical image requires alternating between the plots and the images. As a result, determining whether the location of the LoS influences its magnetic field variation by analysing its diagnostic plots becomes arduous due to the absence of a direct way of linking the two. PolarVis is an effort towards allowing an almost instant view of the interactive diagnostic plots corresponding to a given line of sight at the click of a button on that line of sight on the image, using an interactive web-based FITS viewer -- JS9.

This work proposes to reduce visibility data volume using a baseline-dependent lossy compression technique that preserves smearing at the edges of the field-of-view. We exploit the relation of the rank of a matrix and the fact that a low-rank approximation can describe the raw visibility data as a sum of basic components where each basic component corresponds to a specific Fourier component of the sky distribution. As such, the entire visibility data is represented as a collection of data matrices from baselines, instead of a single tensor. The proposed methods are formulated as follows: provided a large dataset of the entire visibility data; the first algorithm, named \\(simple~SVD\\) projects the data into a regular sampling space of rank\\(-r\\) data matrices. In this space, the data for all the baselines has the same rank, which makes the compression factor equal across all baselines. The second algorithm, named \\(BDSVD\\) projects the data into an irregular sampling space of rank\\(-r_{pq}\\) data matrices. The subscript \\(pq\\) indicates that the rank of the data matrix varies across baselines \\(pq\\), which makes the compression factor baseline-dependent. MeerKAT and the European Very Long Baseline Interferometry Network are used as reference telescopes to evaluate and compare the performance of the proposed methods against traditional methods, such as traditional averaging and baseline-dependent averaging (BDA). For the same spatial resolution threshold, both \\(simple~SVD\\) and \\(BDSVD\\) show effective compression by two-orders of magnitude higher than traditional averaging and BDA. At the same space-saving rate, there is no decrease in spatial resolution and there is a reduction in the noise variance in the data which improves the S/N to over \\(1.5\\) dB at the edges of the field-of-view.