The soil samples were collected from Melia dubia plantations in two different locations in Tamil Nadu. A total of twenty five actinomycetes isolates were isolated and they were screened for melanin pigment production using different culture media. Only two isolates were able to produce melanin pigment under in vitro study and one isolate showed positive reaction to L-tyrosine substrate. Based on morphological and bio-chemical characters the isolate was identified as Streptomyces sp. The DNA of the isolate was isolated and its 16S rDNA gene was amplified and sequenced. The phylogenetic analysis of Streptomyces puniciscabiei was carried out.

Dr. saranya devi k

Background: Sickle cell disease (SCD) is one of the most common genetic diseases worldwide, with very high prevalence rates in sub-Saharan Africa, especially Nigeria. Given the importanceand benefits of newborn screening (NBS), it is essential to assess awareness and acceptance of NBS for SCD and the factors influencing its acceptance in this region. Methods: This was a hospital-based, cross-sectional study that examined pregnant women attending the antenatal clinic for their first visit between August 1 and October 31, 2023. This antenatal clinic has an average annual attendance of 1,521 pregnant women who come for their first visit. The data obtained were analyzed using IBM SPSS Statistics (version 20), and the results were presented in prose, tables, and figures as appropriate. A level of statistical significance was set at p < 0.05. Results: Three hundred and two (302) pregnant women were recruited for the study. Though there was low awareness (13.2%), there was a high acceptance rate (96.7%) of NBS for SCD amongst the women studied. However, the type of marriage (monogamous marriage, p = 0.029) was the only factor found to have a significant relationship with the respondents’ willingness to accept NBS for SCD. Conclusions: Community education, with an emphasis on married couples, women of reproductive age, and religious leaders, should be intensified. The monogamous marriage setting may reflect marital stability, social support, or correlated socioeconomic factors on health decision-making. However, this may have different implications in different societies.

Karishma

A 22-year-old Indonesian woman was admitted through the emergency department with a 10-day history of  fever associated with chills. Other medical history was unremarkable. On examination, she appeared ill; BP 95/60 mmHg, pulse 105/min, and temperature 39.5°C. Abdominal examination showed splenomegaly; examination of the heart, lungs, and nervous system was unremarkable.

Karishma

Garcinia cambogia, commonly known as Asam Gelugur, has entrenched itself as a traditional herbal medicine, renowned for its applications in treating obesity and its integration into global nutraceutical formulations. The bioactive compounds within, particularly hydroxy citric acid, mediate various effects. This study aims to assess the in vitro cytotoxicity of Taxol, a cytotoxic drug used as a control, and the aqueous extract from Garcinia cambogia against the Vero cell line - a kidney-like cell. Cytotoxicity was evaluated using the 3-(4,5-dimetyl-2-2thiazolyl)-2, 5-diphenyl-2H-tetrazolium bromide (MTT) assay. The assay relies on mitochondrial succinate dehydrogenase's potential to reduce MTT, providing a colorimetric indication of cell viability. The results revealed an IC50 value exceeding 500 µg/mL for the aqueous extract from Garcinia cambogia significantly higher than Taxol's 0.0581 µg/mL. This higher IC50 value implies lower toxicity, positioning the Garcinia cambogia extract as a safe component in nutraceuticals and herbal supplements. The aqueous extract of Garcinia cambogia demonstrates low cytotoxicity, reinforcing its safety profile for use in nutraceuticals, which contributes valuable insights into the safety considerations of incorporating Garcinia cambogia into herbal supplements.

Mediterranean journal of pharmacy and pharmaceutical sciences

Background: Unexplained infertility is a frustrating diagnosis both for the patient and the clinician, with a prevalence of 16%-37%. It commonly refers to a ‘diagnosis’ made when tubal, ovulatory and husband factors are ruled out. A couple is usually referred for evaluation after 1 year of unsuccessful trials of conception with unprotected intercourse in the fertile phase of the menstrual cycle. Unani formulation comprises of baikh asgand (Withania somnifera Dunal), baikh piyabansa (Barleria prionitis Linn), gule dhawa (Anogeissus latifolia) and gule nilofar (Nymphaea alba Linn) were used for the treatment of uqr, possessing the properties of muqawwi rahim, moaene hamal, moallide mani, etc. Case presentation: A married couple (22 years female partner & 26 years male partner) presented to NIUM Hospital OPD, with chief complaint of failure to conceive since 5 years. The couple report a high degree of stress related to their lack of success. Investigations were carried to check for tubal patency, ovulatory function and semen analysis. Diagnosis of unexplained infertility was made after thorough evaluation of the case. The powder of above mentioned formulation was given 6g twice a day orally with milk from 5th day of cycle for 5 days. Patient got conceived after taking treatment for two consecutive cycles. Discussion: Here we report evidence based management with Unani medicine to help combat the significant physical, psychosocial and economic toll on couples. Keywords: Unexplained infertility; Primary infertility; Uqr; Muqawwi rahim; Moaene hamal; Moallide mani; Unani medicin

Dr ismath shameem

In this study, we implement a lightweight CNN for sarcasm detection using audio input. To achieve this goal, we propose DepthFire block. We propose a lightweight version of the traditional Depthwise convolution layer that focuses on reduced memory. Unlike the traditional depthwise convolution layer that focuses on reducing the memory requirements of the entire architecture, our solution offers a specific and targeted approach that specifically reduces the memory requirements of the depthwise convolution layer through parameter reduction.We evaluated the impact of its energy consumption and the performance of our proposed solution with other existing solutions and on different activations, pooling functions and datasets.We further tested the applicability of the solution on 2D input.And our solution obtained 82.98 percent model size reduction as compared to MobileNetV2 and 58.94 percent as compared to MobileNetV3 small with a energy reduction of 56.48 percent on CIFAR10 dataset.

Jiby mariya jose

Globally, approximately 12% of the population is inflicted by various types of urolithiasis. Standard treatments are available to avert and treat urolithiasis, but with significant adverse side effects. Pentacyclic triterpenes represent a group of naturally occurring compounds with immense potential as treatments for kidney stones. This review aims to provide an integrative description of how pentacyclic triterpenes can effectively treat calcium oxalate urolithiasis through various antioxidant, anti-inflammatory, diuretic, and angiotensin-converting enzyme inhibition mechanisms. Some pentacylic triterpenes showing promising activities include lupeol, oleanolic acid, betulin, and taraxasterol. Moreover, future perspectives on developing pentacyclic triterpenes in formulations/drugs for urinary stone prevention are highlighted. It is anticipated that compiled information would serve as a scientific baseline to advocate further investigations on the potential of pentacyclic triterpenes in urolithiasis remediation.

Dr. salman ahmed

This paper proposes EPyNet, a deep learning architecture designed for energy reduced audio emotion recognition.In the domain of audio based emotion recognition, where discerning emotional cues from audio input is crucial, the integration of artificial intelligence techniques has sparked a transformative shift in accuracy and performance.Deep learning , renowned for its ability to decipher intricate patterns, spearheads this evolution. However, the energy efficiency of deep learning models, particularly in resource-constrained environments, remains a pressing concern. Convolutional operations serve as the cornerstone of deep learning systems. However, their extensive computational demands leading to energy-inefficient computations render them as not ideal for deployment in scenarios with limited resources. Addressing these challenges, researchers came up with one-dimensional convolutional neural network (1D CNN) array convolutions, offering an alternative to traditional two-dimensional CNNs, with reduced resource requirements. However , this array-based operation reduced the resource requirement, but the energy-consumption impact was not studied. To bridge this gap, we introduce EPyNet, a deep learning architecture crafted for energy efficiency with a particular emphasis on neuron reduction. Focusing on the task of audio emotion recognition, We evaluate EPyNet on five public audio corpora-RAVDESS, TESS, EMO DB, CREMA D, and SAVEE.We propose three versions of EPyNet, a lightweight neural network designed for efficient emotion recognition, each optimized for different trade-offs between accuracy and energy efficiency. Experimental results demonstrated that the 0.06M EPyNet reduced energy consumed by 76.5% while improving accuracy by 5% on RAVDESS, 25% on TESS, and 9.75% on SAVEE. The 0.2M and 0.9M models reduced energy consumed by 64.9% and 70.3%, respectively. Additionally, we compared our Proposed 0.06M system with the MobileNet models on the CIFAR-10 dataset and achieved significant improvements. The 1035 proposed system reduces energy by 86.2% and memory by 95.7% compared to MobileNet, with a slightly lower accuracy of 0.8%. Compared to MobileNetV2, it improves accuracy by 99.2% and reduces memory by 93.8%. When compared to MobileNetV3, it achieves 57.2% energy reduction, 85.1% memory reduction, and a 24.9% accuracy improvement. We further test the scalability and robustness of the proposed solution on different data dimensions and frameworks.

Jiby mariya jose