Miniature Implantable Antenna Design for Blood Glucose Monitoring

In this paper, a miniaturised implantable antenna with the dimensions of 8×8×1 mm 3 has been studied for continuous monitoring of Blood Glucose Levels (BGL). The antenna performance is analysed numerically for both free space and implanted operation. It has the lowest resonant frequency of 3.58 GHz in free space with a gain 1.18 GHz while operates at 2.58 GHz with a gain of 4.18 dBi when implanted. Good performance and small size make it a good for implantable glucose monitoring devices

Electroencephalography (EEG) Based Neonatal Sleep Staging and Detection Using Various Classification Algorithms

Automatic sleep staging of neonates is essential for monitoring their brain development and maturity of the nervous system. EEG based neonatal sleep staging provides valuable information about an infant’s growth and health, but is challenging due to the unique characteristics of EEG and lack of standardized protocols. This study aims to develop and compare 18 machine learning models using Automated Machine Learning (autoML) technique for accurate and reliable multi-channel EEG-based neonatal sleep-wake classification. The study investigates autoML feasibility without extensive manual selection of features or hyperparameter tuning. The data is obtained from neonates at post-menstrual age 37 ± 05 weeks. 3525 30-s EEG segments from 19 infants are used to train and test the proposed models. There are twelve time and frequency domain features extracted from each channel. Each model receives the common features of nine channels as an input vector of size 108. Each model’s performance was evaluated based on a variety of evaluation metrics. The maximum mean accuracy of 84.78% and kappa of 69.63% has been obtained by the AutoML-based Random Forest estimator. This is the highest accuracy for EEG-based sleep-wake classification, until now. While, for the AutoML-based Adaboost Random Forest model, accuracy and kappa were 84.59% and 69.24%, respectively. High performance achieved in the proposed autoML-based approach can facilitate early identification and treatment of sleep-related issues in neonates

Comparison Of Naproxen And Diacerein In The Treatment Of Knee Joint Osteoarthritis

Background: Knee osteoarthritis is a common disease in older age. Pain and limitation of movement are the main symptoms of knee osteoarthritis. Many pharmacological options are available for symptomatic relief but NSAIDs are mostly prescribed. Diacerein is also prescribed for osteoarthritis but data regarding its efficacy is still controversial. Moreover, studies regarding the comparison of diacerein with NSAIDs are deficient in Pakistan. Objective: The objective of the study was to compare the clinical efficacy of naproxen (NSAID) with diacerein in treating knee osteoarthritis. Methodology: Patients fulfilling inclusion criteria were included in the study. After written informed consent 60 patients of knee osteoarthritis were included in the study. They were divided randomly into two groups. Group A (n=30) was prescribed with tablet naproxen 500mg twice daily and group B (n=30) was given capsule diacerein 50mg twice daily for 12 weeks. Baseline VAS and WOMAC scores of the patients were noted. These scores were compared with scores achieved 12 weeks after intervention. Intra-group comparison of the scores was also carried out. SPSS version 23.0 was used for statistical analysis. Results: WOMAC and VAS scores comparison of the two groups (A & B) before intervention showed an insignificant p-value that is 0.815 for the WOMAC score and  0.509 for the VAS score. After intervention means WOMAC score i.e.10.50 ± 2.46 of group A (treated with naproxen) was better than the mean 29.62 ± 7.03 of group B (treated with diacerein) showing significant p-value (< 0.001). Similarly mean VAS of group A 1.92 ± 0.58 improved more than the mean VAS of group B i.e 3.38 ± 0.75 with significant p-value (< 0.001). Intra-group comparison of the groups also showed a significant p-value. Conclusion: Clinical efficacy of naproxen is better than diacerein in treating knee osteoarthritis

Evaluation of quality of warfarin therapy by assessing patient\u27s time in therapeutic range at a tertiary care hospital in Pakistan

Objective: To assess the time in therapeutic range in patients on warfarin anti-coagulation therapy. Methods: The retrospective chart review was conducted at Aga Khan University Hospital, Karachi, and comprised data of patients having undergone anti-coagulation with warfarin from January 2013 to April 2015. To determine the mean time in therapeutic range, Rosendaal method was used. Association of time in therapeutic range with the composite outcome, bleeding and thromboembolic events was also assessed. Percentage of patients with time in therapeutic range \u3c60% was calculated. Results: There were 92 patients whose median time in therapeutic range was 34.9% (interquartile range: 20.0- 55.7). Overall, 71(77.2%) patients had time in therapeutic range below 60% which had statistically significant correlation with the composite outcome (p\u3c0.05). Number of comorbids was significant in predicting time in therapeutic range and patients with time in therapeutic range\u3c 60% (p\u3c0.05). Conclusion: Subjects had poor anti-coagulation quality. It might be prudent to move towards novel oral anticoagulant drugsas the first choice for therapeutic anti-coagulation

Rates of publication of FCPS dissertations in international and national peer-review journals among residents at AKUH; A cross sectional review of 15 years

Objective: To see the rate of publication of postgraduate residents\u27 dissertation. Methods: The single-centre retrospective cross-sectional study was conducted at the Aga Khan University Hospital, Karachi, and comprised research publications from the residents of the departments of Surgery and Medicine who graduated between 2005 and 2020. The surgical subspecialties included Otolaryngology, Ophthalmology, Dentistry, General Surgery, Orthopaedics, Paediatric Surgery, Urology, Plastic Surgery and Cardiovascular Surgery. Data comprised demographics, current institution, current designation, information on dissertation/paper publication, topic of study, year of completion of dissertation, input from the research department, delay in exam due to incomplete dissertation and whether the paper got published in national or international journal. Data was analysed using SPSS 21. Results: Of the 103 subjects, 70(68%) were males and 33(32%) were females, while 73(70.8%) belonged to surgical specialties and 30(29.2%) were from non-surgical specialties. Of the 22(22.9%) who were able to convert, 12(54.5%) publications were carried by national peer-reviewed journals, while 10(45.4%) were carried by international journals; 9(40.9%) unpaid peer review journals and 13(59.1%) paid journals. Delay in exam due to incomplete dissertation was faced by only 16(16.6%) candidates. Conclusions: The rate of publication for resident dissertation was found to be low

Stop Voicing and F0 Perturbation in Pahari

The present study has been carried out to investigate the perturbation effect of the voicing of initial stops on the fundamental frequency (F0) of the following vowels in Pahari. Results show that F0 values are significantly higher following voiceless unaspirated stops than voiced stops. F0 contours indicate an initially falling pattern for vowel [a:] after voiced and voiceless unaspirated stops. A rising pattern after voiced stops and a falling pattern after voiceless unaspirated stops is observed after [i:] and [u:]. These results match Umeda (1981) who found that F0 of a vowel following voiceless stops starts high and drops sharply, but when the vowel follows a voiced stop, F0 starts at a relatively low frequency followed by a gradual rise. The present data show no statistically significant difference between the F0 values of vowels with different places of articulation. Place of articulation is thus the least influencing factor

A Novel Dynamic Appliance Clustering Scheme in a Community Home Energy Management System for Improved Stability and Resiliency of Microgrids

Power scheduling of domestic appliances is a vital preference for bridging the gap between demand and generation of electricity in a microgrid. For a stable microgrid, an acceptable mechanism must reduce the peak to average ratio (PAR) of power demand with supplementary benefits for consumers as reduced electricity charges. Recent studies have focused on PAR and cost reduction for a small consumer population. Furthermore, researchers have mainly considered homogeneous consumer loads. This study focuses on residential power scheduling for electricity cost reduction for consumers and load profile PAR curtailment for a relatively large consumer population with non-homogeneous loads. A sample population of 1000 consumers from various classes of society is considered. The proposed dynamic clustered community home energy management system (DCCHEMS) allows the clustering of appliances based on time overlap criteria. Comparatively flatter power demand is attained by utilizing the clustered appliances in conjunction with particle swarm optimization under the influence of user-defined constraints. Modified inclined block rates with real-time electricity pricing strategies are deployed to minimize the electricity costs. DCCHEMS achieved higher efficiency rates in contrast to the traditional non-clustering and static clustering optimization schemes. An improvement of 21% in peak to average ratio, 4% in cost reduction, and 19% in variance to mean ratio is obtained

S-Alkylated/aralkylated 2-(1H-indol-3-yl-methyl)-1,3,4- oxadiazole-5-thiol derivatives. 2. Anti-bacterial, enzymeinhibitory and hemolytic activities

Purpose: To evaluate the antibacterial, enzyme-inhibitory and hemolytic activities of Salkylated/aralkylated 2-(1H-indol-3-ylmethyl)-1,3,4-oxadiazole-5-thiol  derivatives.Methods: Antibacterial activities of the compounds were evaluated using broth dilution method in 96 well plates. Enzyme inhibitory activities assays were investigated against α-glucosidase, butyrylcholinesterase (BchE) and lipoxygenase (LOX) using acarbose, eserine and baicalien as reference standards, respectively. A mixture of enzyme, test compound and the substrate was incubated and variation in absorbance noted before and after incubation. In tests for hemolytic activities, the compounds were incubated with red blood cells and variations in absorbance were used as indices their hemolytic activities.Results: The compounds were potent antibacterial agents. Five of them exhibited very good antibacterial potential similar to ciprofloxacin, and had minimum inhibitory concentrations (MIC) of at least 9.00 ± 4.12 μM against S. aureus, E.coli, and B. subtilis. One of the compounds had strong enzyme inhibitory potential against α-glucosidase, with IC50 of 17.11 ± 0.02 μg/mL which was better than that of standard acarbose (IC50 38.25 ± 0.12 μg/mL). Another compound had 1.5 % hemolytic activity. Conclusion: S-Alkylated/aralkylated 2-(1H-indol-3-ylmethyl)-1,3,4-oxadiazole-5-thiol deviratives with valuable antibacterial, anti-enzymatic and hemolytic activities have been successfully synthesized. These compounds may be useful in the development of pharmaceutical products.Keywords: 2-(1H-Indol-3-ylmethyl)-1,3,4-oxadiazole-5-thiol derivatives, Enzyme inhibition, Antibacterial activity, Hemolytic activity, Molecular dockin

DNA key based visual chaotic image encryption

With the exponential growth of Internet technologies, digital information exchanged over the Internet is also significantly increased. In order to ensure the security of multimedia contents over the open natured Internet, data should be encrypted. In this paper, the quantum chaotic map is utilized for random vectors generation. Initial conditions for the chaos map are computed from a DNA (Deoxyribonucleic acid) sequence along with plaintext image through Secure Hash Algorithm-512 (SHA-512). The first two random vectors break the correlation among pixels of the original plaintext image via row and column permutation, respectively. For the diffusion characteristics, the permuted image is bitwise XORed with a random matrix generated through the third random vectors. The diffused image is divided into Least Significant Bit (LSB) and Most Significant Bits (MSBs) and Discrete Wavelet Transform (DWT) is applied to the carrier image. The HL and HH blocks of the carrier image are replaced with LSBs and MSBs of the diffused image for the generation of a visually encrypted image. The detailed theoretical analysis and experimental simulation of the designed scheme show that the proposed encryption algorithm is highly secured. Efficiency and robustness of the proposed visually image encryption scheme is also verified via a number of attack analyses, i.e., sensitivity attack analysis (> 99%), differential attack analysis (NPCR > 99, UACI > 33), brute force attack (almost 7.9892), statistical attack (correlation coefficient values are almost 0 or less than zero), noise tolerance, and cropping attack. Further security analyses such as encryption quality (ID ≅ 1564, DH = 3.000), homogeneity (0.3798), contrast (10.4820) and energy (0.0144) of the scheme are also evaluated