Mapping the Spatial Deprivation of Pakistan

Geographical targeting may be a viable way to allocate resources for poverty alleviation in developing countries. Efficiency can be increased, and leakages to the nonpoor reduced substantially, by targeting needy areas. A national and regional database of substantial poverty maps or deprivation indices are not readily available in Pakistan. Further, existing activities of poverty alleviation are carried out on ad hoc basis in the absence of identified pockets of poverty. This paper presents indices of multiple deprivations based on the 1998 Population and Housing Census data. Possible applications of this exercise include identifying areas of need, making decisions on regional and sectoral priorities, facilitating targeted public interventions through special poverty alleviation programmes, understanding the relationship between poverty and its causes, and helping federal and provincial governments in determining financial awards.

An Advanced Features Extraction Module for Remote Sensing Image Super-Resolution

In recent years, convolutional neural networks (CNNs) have achieved remarkable advancement in the field of remote sensing image super-resolution due to the complexity and variability of textures and structures in remote sensing images (RSIs), which often repeat in the same images but differ across others. Current deep learning-based super-resolution models focus less on high-frequency features, which leads to suboptimal performance in capturing contours, textures, and spatial information. State-of-the-art CNN-based methods now focus on the feature extraction of RSIs using attention mechanisms. However, these methods are still incapable of effectively identifying and utilizing key content attention signals in RSIs. To solve this problem, we proposed an advanced feature extraction module called Channel and Spatial Attention Feature Extraction (CSA-FE) for effectively extracting the features by using the channel and spatial attention incorporated with the standard vision transformer (ViT). The proposed method trained over the UCMerced dataset on scales 2, 3, and 4. The experimental results show that our proposed method helps the model focus on the specific channels and spatial locations containing high-frequency information so that the model can focus on relevant features and suppress irrelevant ones, which enhances the quality of super-resolved images. Our model achieved superior performance compared to various existing models.Comment: Preprint of paper from The 21st International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology or ECTI-CON 2024, Khon Kaen, Thailan

A case-control study of medical, psychological and socio-economic factors influencing the severity of chronic rhinosinusitis

BACKGROUND: Chronic rhinosinusitis (CRS) is a common and debilitating disorder. Little is known about the epidemiology of this disease. The aims of the study were to identify differences in socio-economic variables and quality of life between patients with chronic rhinosinusitis and healthy controls, to identify any significant associations between CRS and other medical co-morbidities, psychiatric disease or environmental exposure and to explore the experience of CRS from the perspective of CRS sufferers. METHODS: Participants were recruited from ENT clinics from 30 centres across the UK. They completed a study-specific questionnaire considering environmental, medical and socio-economic factors, and SF-36 and SNOT-22 scores. All participants with CRS were diagnosed by a clinician and categorised as having CRS (with polyposis, without polyposis or allergic fungal rhinosinusitis (AFRS)). Controls included family and friends of those attending ENT outpatient clinics and hospital staff who had no diagnosis of nose or sinus problems and had not been admitted to hospital in the previous 12 months. RESULTS: A total of 1470 study participants (1249 patients and 221 controls) were included in the final analysis. Highly significant differences were seen in generic and disease-specific quality of life scores between CRS sufferers and controls; mean SNOT-22 score 45.0 for CRS compared with 12.1 amongst controls. There were no clear differences in socioeconomic variables including social class, index of multiple deprivation and educational attainment between cases and controls. Common comorbidities with a clear association included respiratory and psychiatric disorders, with a higher frequency of reported upper respiratory tract infections. CONCLUSIONS: CRS is associated with significant impairment in quality of life and with certain medical co-morbidities. In contrast to other common ENT disorders, no socioeconomic differences were found between patients and controls in this study

Investigating the causes of roads deterioration in the form of potholes using non-destructive testing

Potholes are one of the public’s main local concerns as they cost a lot to the economy in terms of repair bills, delays while repairs are carried out and vehicle wear-and-tear. According to the Annual Local Authority Road Maintenance (ALARM) survey, eliminating the pothole backlog in England and Wales would cost £9.8bn and take a decade to complete despite increased local roads investment. The aim of this study is to research why potholes occur in the first place using non-destructive testing (NDT) and potential remedies in terms of the development of effective design and innovative materials to prevent their formation in future. To investigate the causes of potholes formation, in-situ use of NDT methods such as groundpenetrating radar (GPR) has proven effectiveness as roads remain in continuous use. Analysis of GPR data can provide information on layer depths, material condition, moisture, voiding, reinforcement and location of other features [1, 2, 3]. Through our results, we will test two hypothesis; (i) shallow potholes are formed on loss of adhesion of the surface course, (ii) deep potholes are formed due to the loss of bearing capacity or settlement of the subgrade. Poor drainage in combination of heavy loads trigger shallow potholes while extreme wetting-drying cycles as a result of climate change decayed subgrade conditions of the pavement. Results presented in this abstract are part of a PhD project funded by the University of West London

Chemometrics and Spectroscopic Analyses of Peganum harmala Plant’s Seeds by Laser‐Induced Breakdown Spectroscopy

In the present work, the rapid identification of elements and their relative chemical com‐ position in various Peganum harmala seed samples were investigated using a calibration‐free laser‐ induced breakdown spectroscopy technique (CF‐LIBS). A pulsed Nd:YAG laser‐source with a 5 ns pulse‐duration, and 10 Hz pulse repetition rates providing 400 and 200 mJ energy at 1064 and 532 nm wavelength, respectively, was focused on the Peganum harmala seed samples for ablation. A LIBS 2000+ spectrometer within the wavelength range (200 to 720 nm), emission‐spectra were recorded. The measured spectra of the Peganum harmala sample gives spectral lines of Carbon (C), Magnesium (Mg), Lithium (Li), Sodium (Na), Calcium (Ca), Silicon (Si), Iron (Fe), Strontium (Sr), Copper (Cu), Potassium (K), and Lead (Pb). A CF‐LIBS technique has been employed for the compositional study of the elements exist in the Peganum harmala seed samples. The measured results demonstrate that C, Mg, and Ca are found to be major elements in the Peganum harmala seed samples with composi‐ tions of ~36.64%, ~24.09%, and ~19.03%, respectively. Along with the major elements, the elements including Li, Na, Si, K, Fe, and Sr were identified as minor elements with compositions of ~2.87%, ~2.33%, ~3.72%, ~7.17%, ~2.83%, and ~1.14%, respectively. Besides Cu (~8.07 μg/g), and Pb (~1.10 μg/g) elements were observed as trace elements exist in the Peganum harmala seed samples. Further‐ more, the electron number density including the plasma excitation‐temperature were calculated using the stark‐broadening line profile method and the Saha–Boltzmann plot method, respectively. The plasma parameters versus laser‐irradiance and the distance from the sample were further in‐ vestigated. Moreover, a principal component analysis (PCA) method was also utilized to the spec‐ tral data obtained by using LIBS to discriminate various seed samples with four classes, namely, α, β, γ, and Δ. Three principal‐components (PCs) calculated from eigenvalues of score matrix de‐ scribed 87.6%, 4.6%, and 2.5% of total variance for PC1, PC2, and PC3, respectively. The LIBS spec‐ tral data variance covered by the initial 3 PCS was found as ~94.7% of total variance. The PCA results have successfully demonstrated the different classes of the Peganum harmala seed samples based on the different doping compositional ratios of the Zn element. This study confirmed the feasibility and ability of LIBS and PCA for the rapid analysis of Peganum harmala seed samples. Finally, the results achieved using CF‐LIBS were incorporated with those obtained from the XRF and EDX an‐ alytical techniques

Outcome of autologous bone graft versus polyetheretherketone cages in anterior cervical discectomy and fusion surgery

Objective:To compare the outcome of autologous bone graft versus PEEK cages in ACDF surgery in terms of clinical performance and radiographic features. Methodology:This study was conducted at Department of Neurosurgery, Punjab Institute of Neurosciences, Lahore, Pakistan from April 2020 to December 2022. In this study patients were randomized into two equal groups i.e. Group A (autologous bone graft)  and Group B (PEEK cage). Results: Total of 98 patients was included in the study. The mean age of cases was 49.88 ± 17.83 years. There were 58(59.18%) male and 40(40.82%) female cases. 25(25.51%) cases who had C3-C4 involved, 48(48.98%) patients had C5-C6 and 25(25.51%) cases had C5 region involved. The mean disc height at 6th months in PEEK group was 6.71 ± 0.46 mm and in bone graft group was 6.33 ± 0.47 mm, p-value < 0.05. The mean operative time in PEEK group (2.07 ± 0.42) was statistically less than bone graft group (3.23 ± 0.36), p-value < 0.05. The average blood loss was also statistically less in PEEK group as compared to bone graft.  The mean hospital stay in PEEK group was 2.92 ± 0.61 days as compared to bone graft was 5.48 ± 1.90 days, p-value < 0.05. Conclusion:Outcome of ACDF surgery PEEK cages are better than autologous bone graft in terms of clinical performance and radiological features. Hence PEEK cages can be opted in future to have better outcome and higher patient’s satisfaction. &nbsp

Adaptive Learning Algorithms for Low Dose Optimization in Coronary Arteries Angiography: A Comprehensive Review

Abstract Objective: Coronary artery angiography plays a pivotal role in cardiovascular disease diagnosis and treatment, but concerns regarding patient safety due to ionizing radiation necessitate innovative approaches. The article explores the integration of adaptive learning algorithms to optimize low-dose imaging in coronary artery angiography. Method: Articles are selected on the basis of inclusion criteria that mentions studies in between the time span of 2018 to 2022 emphasizing the detailed algorithmic studies of Low dose optimization of coronary arteries angiography and techniques used in it, mentioned total 175 studies were included in initial studies that were reduced to ten final selected studies. Results: The extracted data shows a comprehensive data on various techniques that are used for low dose CAA, advancements in image segmentation, noise reduction, and operator dose reduction highlight the potential of machine learning techniques. Innovative methods such as Model-Based Deep Learning (MBDL) and Self-Attention Generative Adversarial Networks (SAGAN) demonstrate efficient reconstruction capabilities. Application of such algorithms include automate segmentation, lesion detection, and real-time image analysis, optimizing dose parameters based on patient-specific factors, thus prioritizing patient safety and treatment effectiveness while revolutionizing medical imaging. Then there are possible limitations of the Algorithmic approach to reduce radiation dose for patient that include concerns include data heterogeneity, lack of diversity, and challenges in data collection and privacy protection. Addressing these limitations is crucial for enhancing the reliability of AI-driven dose optimization methods. Conclusion: This comprehensive review provides valuable insights into the potential of adaptive learning algorithms for low-dose optimization in coronary artery angiography. It underscores the importance of safer imaging practices without compromising diagnostic efficacy. And the future lies in exploring adaptive learning algorithms, integrating patient-specific data, and real-time adaptability during procedures. Validation studies and collaboration with healthcare institutions are essential for successful integration into clinical practice

Acanthamoeba genotype T4 from the UK and Iran and isolation of the T2 genotype from clinical isolates

The majority of the keratitis-causing Acanthamoeba isolates are genotype T4. In an attempt to determine whether predominance of T4 isolates in Acanthamoeba keratitis is due to greater virulence or greater prevalence of this genotype, Acanthamoeba genotypes were determined for 13 keratitis isolates and 12 environmental isolates from Iran. Among 13 clinical isolates, eight (61.5 %) belonged to T4, two (15.3 %) belonged to T3 and three (23 %) belonged to the T2 genotype. In contrast, the majority of 12 environmental isolates tested in the present study belonged to T2 (7/12, 58.3 %), followed by 4/12 T4 isolates (33.3 %). In addition, the genotypes of six new Acanthamoeba isolates from UK keratitis cases were determined. Of these, five (83.3 %) belonged to T4 and one was T3 (16.6 %), supporting the expected high frequency of T4 in Acanthamoeba keratitis. In total, the genotypes of 24 Acanthamoeba keratitis isolates from the UK and Iran were determined. Of these, 17 belonged to T4 (70.8 %), three belonged to T2 (12.5 %), three belonged to T3 (12.5 %) and one belonged to T11 (4.1 %), confirming that T4 is the predominant genotype (S2 = 4.167; P = 0.0412) in Acanthamoeba keratitis

QTL mapping and candidate gene analysis of ferrous iron and zinc toxicity tolerance at seedling stage in rice by genome-wide association study

Background:Ferrous iron (Fe) and zinc (Zn) at high concentration in the soil cause heavy metal toxicity andgreatly affect rice yield and quality. To improve rice production, understanding the genetic and molecularresistance mechanisms to excess Fe and Zn in rice is essential. Genome-wide association study (GWAS) is aneffective way to identify loci and favorable alleles governing Fe and Zn toxicty as well as dissect the geneticrelationship between them in a genetically diverse population.Results:A total of 29 and 31 putative QTL affecting shoot height (SH), root length (RL), shoot fresh weight (SFW),shoot dry weight (SDW), root dry weight (RDW), shoot water content (SWC) and shoot ion concentrations (SFe orSZn) were identified at seedling stage in Fe and Zn experiments, respectively. Five toxicity tolerance QTL (qSdw3a,qSdw3b,qSdw12andqSFe5/qSZn5) were detected in the same genomic regions under the two stress conditionsand 22 candidate genes for 10 important QTL regions were also determined by haplotype analyses.Conclusion:Rice plants share partial genetic overlaps of Fe and Zn toxicity tolerance at seedling stage. Candidategenes putatively affecting Fe and Zn toxicity tolerance identified in this study provide valuable information forfuture functional characterization and improvement of rice tolerance to Fe and Zn toxicity by marker-assistedselection or designed QTL pyramiding

The Burden of Revision Sinonasal Surgery in the UK – Data from the Chronic Rhinosinusitis Epidemiology Study (CRES); a cross sectional study

Objectives/Hypothesis The aim of this study was to investigate the surgical revision rate in patients with Chronic Rhinosinusitis (CRS) in the UK CRS Epidemiology Study (CRES). Previous evidence from national Sinonasal Audit showed that 1459 CRS patients demonstrated a surgical revision rate 19.1% at 5 years, with highest rates seen in those with polyps (20.6%). Setting Thirty secondary care centres around the UK. Participants A total of 221 controls and 1249 patients with CRS were recruited to the study including those with polyps (CRSwNPs), without polyps (CRSsNPs) and with allergic fungal rhinosinusitis (AFRS). Interventions Self-administered questionnaire. Primary outcome measure The need for previous sinonasal surgery. Results A total of 651 patients with CRSwNPs, 553 with CRSsNPs and 45 with AFRS were included. A total of 396 (57%) of patients with CRSwNPs/AFRS reported having undergone previous endoscopic nasal polypectomy (ENP), of which 182 of the 396 (46%) reported having received more than one operation. The mean number of previous surgeries per patient in the revision group was 3.3 (range 2 to 30) and a mean duration of time of 10 years since the last procedure. The average length of time since their first operation up to inclusion in the study was 15.5 years (range 0-74). Only 27.9% of all patients reporting a prior ENP had received concurrent endoscopic sinus surgery (ESS) (n=102). For comparison, surgical rates in patients with CRSsNPs were significantly lower; 13% of cases specifically reported ESS and of those only 30% reported multiple procedures (chi-squared p < 0.001). Conclusions This study demonstrated there is a high burden of both primary and revision surgery in patients with CRS, worst in those with AFRS and least in those with CRSsNPs. The burden of revision surgery appears unchanged in the decade since the Sinonasal Audit