Comparison of complete nasal packing with and without integrated airways.

Objective: To compare the effects of nasal packing using a Nasopore nasal packing with and without an airway tube on postoperative pain, SpO2, nasal obstruction, and difficulty in breathing complaints. Methods: This comparative study was conducted at Dow University of Health Sciences (DUHS), DMC Civil Hospital Karachi between September 18, 2021, to May 19, 2022. A total of 70 patients who underwent septoplasty for septal deviation and chronic hypertrophic rhinitis were equally divided into two groups. Group-A patients received nasal packing using a Nasopore nasal packing with an airway tube, and Group-B patients received nasal packing using a Nasopore nasal packing without an airway tube. Post-operation Nasal pain sensations were measured using the Wong-Baker Faces Pain Rating Scale at 2 and 12 hours. SpO2 was measured at 30 minutes pre-operatively with an O2 saturation monitor and 12 hours post-operatively during sleep. Results: The postoperative pain at two hours and 12 hours was compared between the two groups, and a significant difference was observed. In Group-A, the average SpO2 decreased > 4% from baseline in 5.7% patients, and 37% in Group-B. A significant difference was observed in the severity of nasal obstruction and difficulty breathing, P-value < 0.05. Conclusion: It is concluded that septoplasty followed by applying nasal packing with integrated airway reduces postoperative pain and improves oxygen saturation compared to nasal packing without integrated airways.

Optimization of different growth parameters for maximum production of bioactive crude metabolites by Aspergillus fumigatus.

Aspergillus fumigatus is a green echinulate with greenish phialides and 2.5-3 mm conidia. The diverse biological functions of A. fumigatus secondary metabolites make them interesting. The ethyl acetate extract of A. fumigatus was tested for antibacterial activity. Culture media, temperature, incubation and pH were optimized for A. fumigatus growth. Continuous 150rpm agitation incubated the fungus at 28°C for 10 days. Potato Dextrose Broth at 28°C in shaking incubator at pH 04 produced the most biomass and secondary metabolites. Metabolite antibacterial activity was tested. Salmonella flexneri had the greatest zone of inhibition at 100µl (25.66mm) while Staphylococcus aureus had the least (16.33mm). At 75µg/mL, S. flexneri showed 23.66mm activity and S. typhi 14.66mm. At 50µg/mL, S. flexneri was 21.33mm and S. typhi 12.33mmMBC was 0.01µg/µl and MIC50 varied. At 100µg/mL, the metabolites showed antifungal efficacy against Penicillium chrysogenum (26.33mm) but not A. flavus (21.33mm). A. oryzae was significantly inhibited at 75µg/mL (26.33mm) and 50µg/mL (20.33mm). 1000µl demonstrated 100% phytotoxicity, 100µl 60% and 10µl 50%. Bactrocera cucurbitae, Sitotroga cerealella and Callosobruchus maculatus were killed at 150, 100 and 75µl. Metabolites and antibiotics synergized well. Metabolites have alkanes, esters and ethers in their infrared spectra.

Sustained virological response to antiviral drugs in treatment of different genotypes of HCV cirrhotic patients.

Cirrhosis and liver cancer are both caused by hepatitis C virus (HCV) infection of the liver. Patients with HCV cirrhosis may be treated with one of many antiviral medications, depending on their specific genotype. Samples of cirrhotic HCV were obtained from 190 people at the Khyber Teaching Hospital and the Hayatabad Medical Complex in Peshawar, Pakistan. Multiplex and real-time PCR were used to assess the genotypes and viral loads of the samples, respectively. Sixty patients were given sofosbuvir plus daclatasvir with ribavirin, while the remaining 56 patients were given sofosbuvir with ribavirin for a period of 12-24 weeks. LFTs were also tracked both before and after therapy. Group I (sofosbuvir + daclatasvir) had a sustained virological response of 82.70 percent. Group II (sofosbuvir + daclatasvir with ribavirin) had an 86% sustained virological response, whereas group III (84% sustained virological response) received only ribavirin. When compared to other genotypes, genotype 3 showed the most impressive sustained virologic response (SVR) to the antiviral medicines. Based on the results of this trial, we propose sofosbuvir + daclatasvir ribavirin for the treatment of cirrhotic patients with various HCV genotypes since it produces the greatest sustained virological response.

Investigating the effect of selenium nano-particles on microbial activity and cancerous cell line of MCF-7 and MDA-MB-231.

Selenium is a mineral that is essential to human health and is widely recognized for its responsibilities as a powerful anticancer vitamin and antibacterial vitamin. Selenium also plays a critical part in the production of vitamin D. The purpose of this research was to evaluate the particular effects that selenium nano-particles (SeNPs') had on the infectious agent Staphylococcus aureus as well as the breast cancer cell lines MCF-7 and MDA-MB-231. The proportion of MDA-MB-231 and MCF-7 cells that underwent late apoptosis was dramatically increased by selenium nanoparticles, whereas the number of cells that underwent cell expansion was significantly reduced. There was a wide range of variability in the effects of selenium nanoparticle treatment on cell growth apoptosis, apoptosis rates and patterns of cell cycle arrest. After 2, 4 and 6 hours, researchers found that the development of S. aureus was significantly reduced by selenium nanoparticles at doses of 8.0, 16.0 and 32g/mL. In addition to this, the presence of selenium nanoparticles resulted in a reduced percentage of bacteria that were still alive. According to the findings of the study, there is a need for more research into selenium nanoparticles with the intention of preventing and treating infections caused by S. aureus.

Privacy-Preserving British Sign Language Recognition Using Deep Learning.

Sign language is a means of communication between the deaf community and normal hearing people who use hand gestures, facial expressions, and body language to communicate. It has the same level of complexity as spoken language, but it does not employ the same sentence structure as English. The motions in sign language comprise a range of distinct hand and finger articulations that are occasionally synchronized with the head, face, and body. Existing sign language recognition systems are mainly camera-based, which have fundamental limitations of poor lighting conditions, potential training challenges with longer video sequence data, and serious privacy concerns. This study presents a first of its kind, contact-less and privacy-preserving British sign language (BSL) Recognition system using Radar and deep learning algorithms. Six most common emotions are considered in this proof of concept study, namely confused, depressed, happy, hate, lonely, and sad. The collected data is represented in the form of spectrograms. Three state-of-the-art deep learning models, namely, InceptionV3, VGG19, and VGG16 models then extract spatiotemporal features from the spectrogram. Finally, BSL emotions are accurately identified by classifying the spectrograms into considered emotion signs. Comparative simulation results demonstrate that a maximum classifying accuracy of 93.33% is obtained on all classes using the VGG16 model.

Pushing the limits of remote RF sensing by reading lips under the face mask.

The problem of Lip-reading has become an important research challenge in recent years. The goal is to recognise speech from lip movements. Most of the Lip-reading technologies developed so far are camera-based, which require video recording of the target. However, these technologies have well-known limitations of occlusion and ambient lighting with serious privacy concerns. Furthermore, vision-based technologies are not useful for multi-modal hearing aids in the coronavirus (COVID-19) environment, where face masks have become a norm. This paper aims to solve the fundamental limitations of camera-based systems by proposing a radio frequency (RF) based Lip-reading framework, having an ability to read lips under face masks. The framework employs Wi-Fi and radar technologies as enablers of RF sensing based Lip-reading. A dataset comprising of vowels A, E, I, O, U and empty (static/closed lips) is collected using both technologies, with a face mask. The collected data is used to train machine learning (ML) and deep learning (DL) models. A high classification accuracy of 95% is achieved on the Wi-Fi data utilising neural network (NN) models. Moreover, similar accuracy is achieved by VGG16 deep learning model on the collected radar-based dataset.

Pattern of clinical drug resistance and occurrence of Gram negative bacterial neonatal sepsis at a tertiary care hospital.

Sepsis is a leading cause of neonatal deaths across the world. Gram-negative rods such as Klebsiella and E. coli are major cause of sepsis in neonates. With a mortality rate of 1-4 deaths per thousand live births, sepsis is the second most important cause of neonatal deaths in the developing countries. The present study was designed to determine the occurrence of Gram-negative bacteria in neonatal sepsis and to find antibiotic susceptibility of isolated microbes. Blood samples of 100 neonates (1-89 days old) were sub cultured on MacConkey's and Blood agar for isolation of Gram-negative bacteria. A total of four bacterial species were isolated including Klebsiella (35.71%), E. coli (28.57%), Acinetobacter (21.42%) and Proteus (14.28%). Gram-negative bacteria were isolated more commonly from EOS (early onset sepsis) as compared to LOS (late onset sepsis). Klebsiella isolates from neonates showed sensitivity to imipenem (70%) followed by ceftazidime (40%) and cefotaxime (40%) and high resistance was shown by sulfamethoxazole (80%) and amikacin (70%). E. coli associated with neonatal sepsis were sensitive to imipenem (63%) while highly resistant to cefotaxime (75%) and ciprofloxacin (62%). For Acinetobacter high sensitivity was found for ceftazidime (50%) and resistance was shown to ciprofloxacin and sulfamethoxazole (100%). Proteus showed high sensitivity to amikacin (75%) and high resistance to imipenem and ciprofloxacin (75%). In conclusion, Gram-negative associated neonatal sepsis was found in the studied subjects and drug resistance was observed to clinically used antibiotics.