Pelvic Floor Disorders among Gynecological Cancer Survivors in Sub-urban Regions of Kanchipuram District-India.

BACKGROUND: Pelvic floor muscle is the group of muscles: layering down the pelvic region; Controlling the bowel movements, urination, and sexual intercourse; working in a balanced and coordinated contraction and relaxation. The inability to control the pelvic floor muscles leads to pelvic floor disorders like urinary incontinence, faecal incontinence, dyspareunia, and pelvic pain. OBJECTIVE: The aim of this study is to find the prevalence of pelvic floor disorders among gynaecological cancer survivors in sub-urban regions of Kanchipuram district, India. MATERIALS AND METHODS: This study employs a nonexperimental study design. The procedure is well explained and informed consent is obtained from the gynaecological cancer survivors based on the inclusion and exclusion criteria. Gynecological cancer survivors who are not under any treatments for the last 1 year has been considered for this study. There were two sets of questionnaires in which one depicts vulvar pain function (Vulvar Pain Functional Questionnaire) and the other relates to pelvic floor symptom botheration (Pelvic Floor Bother Questionnaire). The individual has given enough time to fill the questionnaire. Patients seem necessary are further referred to the outpatient physiotherapy department. RESULTS: A moderate amount of Pelvic pain was reported to be felt by at least 64.6% of survivors. Added to it, a moderate level of bothersome was found to be reported by at least 56.2 % of survivors. CONCLUSION: Findings conclude that there is a higher prevalence of pelvic floor dysfunction among gynecological cancer survivors.

Smart access development for classifying lung disease with chest x-ray images using deep learning.

Recently the world has come across a pandemic disease known as covid-19. The presence of symptoms of covid-19 and pneumonia may be alike to other types of lung illnesses. So, because of this, it is difficult for the affected person or medical experts to identify the condition. Chest x-ray provides general orientation which can be an initial investigative study in the analysis of lung diseases. Information from retenogram studies help the finding of covid-19 and pneumonia affecting the lungs. We use a Convolution Neural Network (CNN) in Tensor Flow and Keras based covid-19, pneumonia classification. The best fit model of CNN is then deployed in the Django framework for providing a better user interface and predicting the output.

Pharmacognostic Assesment of the Endemic and Vulnerable Medicinal Climber-Cayratia pedata (Lam.) Gagnep. var. glabra Gamble and Its Antibacterial Activity.

OBJECTIVE: The objective of this study is to evaluate a meticulous pharmacognostic cram is to supplement constructive information with regard to its identification, characterization, and standardization of endemic and endangered medicinal climber Cayratia pedata var. glabra and also screening the antibacterial activity of this climber. MATERIALS AND METHODS: The morphological characters of study plant, microscopic examination of leaf powder, anatomy of young stem, physicochemical analysis of plant powder, extractive values, phytochemical analysis, powder with different chemical reagents, fluorescence analysis of plant powder, and other World Health Organization (WHO) recommended for standardization were analyzed. The antibacterial activity of this study plant is also analyzed. RESULTS: C. pedata var. glabra belongs to the family Vitaceae, commonly known as "Kattuppirandai" is one such endemic and endangered species in Thaisholai, Nilgiris South Division, Western Ghats. With the patronage of veteran ethnic group traditional knowledge of this region, the species C. pedata var. glabra was selected for the pharmacognostical examination and antibacterial screening. There were no pharmacognostical reports of this plant, specifically to determine the anatomical and other physicochemical standards required for its quality control. The current study deals with pharmacognostical parameters for the aerial parts of study plant, which mainly consists of macromorphological and microanatomical characters, physicochemical constants (ash values and extractive values), fluorescence analysis, and phytochemical screening, one of the WHO accepted parameter for the identification of medicinal plants. The pharmacognostical exploration was undertaken for this species with the purpose of sketch the pharmacopeial standards. The antibacterial activity of this plant confirms the therapeutic power. CONCLUSION: The information obtained from pharmacognostical studies will be of used for supplementary pharmacological and therapeutical evaluation of the species and will assist in standardization for quality, purity, and authentication with the help, of which adulteration and substitution can be prevented. The antibacterial activity of this plant confirm the traditional knowledge of local healers on the wound healing property of this species and also suggest this plant species can be used as a promising source for the development of new pharmaceuticals that address the therapeutic needs to cure infectious diseases. SUMMARY: The species C. pedata var. glabra was selected for present research work, since this species is listed in Red data book and has a wider use for different ailments among the tribal population of Thiashola due to its high medicinal value. Pharmacognostical profile was generated from macroscopical analysis, microscopical studies, powder analysis, physico-chemical constituent values, fluorescence analysis and preliminary phytochemical evaluation. The antibacterial activity of this plant confirms the therapeutic power. Abbreviations Used: WHO: World Health Organization; IUCN: International Union for the Conservation of Nature.

Statistical media design for efficient polyhydroxyalkanoate production in Pseudomonas sp. MNNG-S.

Polyhydroxyalkanoate (PHA) is a promising polymer for various biomedical applications. There is a high need to improve the production rate to achieve end use. When a cost-effective production was carried out with cheaper agricultural residues like molasses, traces of toxins were incorporated into the polymer, which makes it unfit for biomedical applications. On the other hand, there is an increase in the popularity of using chemically defined media for the production of compounds with biomedical applications. However, these media do not exhibit favorable characteristics such as efficient utilization at large scale compared to complex media. This article aims to determine the specific nutritional requirement of Pseudomonas sp. MNNG-S for efficient production of polyhydroxyalkanoate. Response surface methodology (RSM) was used in this study to statistically design for PHA production based on the interactive effect of five significant variables (sucrose; potassium dihydrogen phosphate; ammonium sulfate; magnesium sulfate; trace elements). The interactive effects of sucrose with ammonium sulfate, ammonium sulfate with combined potassium phosphate, and trace element with magnesium sulfate were found to be significant (p < .001). The optimization approach adapted in this study increased the PHA production more than fourfold (from 0.85 g L(-1) to 4.56 g L(-1)).

Quantification of intracellular polyhydroxyalkanoates by virtue of personalized flow cytometry protocol.

Polyhydroxyalkanoates (PHAs) are natural polyesters produced by microbes, a potential alternative to synthetic plastics. Various methods ranging from gravimetry to spectrophotometry are routinely used for qualitative analysis of extracted PHA. There is a great need for accurate quantification of intracellular PHA during bioprocess. Hence, the present study aims to improvise the existing Nile red-based flow cytometry protocol. It was achieved using respective cells in a non-PHA accumulating state as gating control to minimize non-specific staining. The optimal Nile red concentration required for PHA staining is 5 × 10(3) pg mL(-1), which is ~10(3)-fold less than that of earlier reports. Further, it was inferred that flow-based quantification was more accurate than the gravimetric method. The intracellular PHA content was highest in Pseudomonas sp. MNNG-S (52.06 %) among the Pseudomonas strains tested by the flow-based method. Both gravimetric and flow-based cell cycle analyses revealed that DNA synthesis (S phase) and PHA production (log phase) are synchronous at 24-48 h of culture. This study supports flow-based PHA quantification for real time online measurement of intracellular PHA for bioreactor monitoring, control and optimization enduing industrial applications.