Clomiphene citrate: the changing landscape

Ovulatory dysfunction is one of the leading causes of female infertility. Clomiphene citrate has emerged as a boon in the induction of ovulation in the human female. Clomiphene results in many adverse effects some of which are documented, and some reported spontaneously. Clomiphene citrate is a non-racemic mixture of two isomers, zuclomiphene and enclomiphene, having individual and opposite biological actions. It is accepted that cis isomer (zuclomiphene) is estrogenic and trans isomer (enclomiphene) is anti-estrogenic. Zuclomiphene does not have any ovulation-induction propertybut gets accumulated for a longer time in the human body and it has more agonistic activity than enclomiphene. Thus, Zuclomiphene may be responsible for the adverse effects by clomiphene citrate. Enclomiphene is being explored for its potential use in male as well as female infertility. Trails are underway to explore its effectiveness and safety in various disorders. This article highlights the pharmacology of Clomiphene with respect to its isomers and the potential uses of enclomiphene based on evidences available

Deoxycorticosterone Producing Tumor as a Cause of Resistant Hypertension

We describe a young woman with longstanding resistant hypertension. Evaluation for renal artery stenosis and primary aldosteronism was unrevealing. In this setting of a suppressed plasma aldosterone concentration (PAC) and a suppressed plasma renin activity (PRA), a differential diagnosis of a deoxycorticosterone (DOC) producing tumor was entertained. Biochemical and imaging studies confirmed this diagnosis. Rare and novel DOC producing tumors are an important cause of resistant hypertension

Machine Learning enabled models for YouTube Ranking Mechanism and Views Prediction

With the continuous increase of internet usage in todays time, everyone is influenced by this source of the power of technology. Due to this, the rise of applications and games Is unstoppable. A major percentage of our population uses these applications for multiple purposes. These range from education, communication, news, entertainment, and many more. Out of this, the application that is making sure that the world stays in touch with each other and with current affairs is social media. Social media applications have seen a boom in the last 10 years with the introduction of smartphones and the internet being available at affordable prices. Applications like Twitch and Youtube are some of the best platforms for producing content and expressing their talent as well. It is the goal of every content creator to post the best and most reliable content so that they can gain recognition. It is important to know the methods of achieving popularity easily, which is what this paper proposes to bring to the spotlight. There should be certain parameters based on which the reach of content could be multiplied by a good factor. The proposed research work aims to identify and estimate the reach, popularity, and views of a YouTube video by using certain features using machine learning and AI techniques. A ranking system would also be used keeping the trending videos in consideration. This would eventually help the content creator know how authentic their content is and healthy competition to make better content before uploading the video on the platform will be ensured.Comment: The Paper has been ACCEPTED at the "2nd International Conference on Computing and Communication Networks(ICCCN-2022)". This paper will be published by AIP publishing and DOI will be issued later o

PROGNOSTIC BIOMARKERS IN TRIPLE NEGATIVE BREAST CANCER AS A POTENTIAL TARGET FOR FUTURE DRUG DISCOVERY

Breast cancer is the most common malignancy in women globally, in which triple-negative breast cancer (TNBC) is more aggressive with poor prognosis and very less response to targeted hormone based treatment. It is a major cause of deaths among the women with breast cancer because of very few treatment options. The biomarkers could be a product of cancerous cell or molecule generated in response to cancer. It is used to understand the mechanism, prognosis, diagnosis as well as target for design and discovery of new drugs. The purpose of the study is to give a brief review onmarkers of TNBC

A Cephalometric Comparative Study for Upper Airway Dimensions in Different Craniofacial Growth Patterns

AIM AND OBJECTIVES: To compare different craniofacial patterns with pharyngeal widths. In OSA (Obstructive Sleep Apnea) patients, a mutual association between the pharyngeal structures and the dentofacial patterns has been suggested. The present study was performed to compare the nasopharynx, oropharynx and hypopharynx dimensions of persons with hypodivergent, normodivegent and hyperdivergent facial types and to predict and to facilitate treatment for OSA patients.Hypothesis: The Null hypothesis for the study was that there is no difference between the upper airway for patients with different growth pattern.MATERIALS AND METHODS: The sample comprised 60 patients divided into three groups: hypodivergent (n=20), normodivergent (n=20), and hyperdivergent (n=20) according to Jarabak’s ratio and FH-MP angle, which were used to compare the soft tissue airway dimensions. The statistical analysis was performed using Student’s t-Test, one way ANOVA (analysis of variance) and LSD (Least significant difference) test.RESULT: Overall narrower anteroposterior pharyngeal dimension was found in the hyperdivergent group as compared to the normodivergent group. Whereas, the superior part of upper pharyngeal width in the subjects with hypodivergent growth pattern was significantly narrower than in normal growth pattern groups.CONCLUSION: In hyperdivergent patients, the narrower anterioposterior dimension of the airway may be due to the skeletal features common to such patients, i.e., posterior vertical maxillary excess, posterior position and decreased mandibular size. The variations of the upper airway may be attributed to the horizontal and vertical growth patterns. Upper airway obstruction and later on OSA may be predisposed by skeletal deficiency

Patients’ sensory perception and satisfaction with use of metered dose inhalers and dry powder inhalers in moderate persistent asthma

Background: Inhalers containing corticosteroid and a long acting β2 agonist (LABA) are widely used in asthma treatment. This study assessed the patient sensory perception and satisfaction of budesonide/formoterol fixed dose combination by pressurized metered dose inhalers (pMDI) with spacer and dry powder inhalers (DPI) in patients of moderate persistent asthma.Methods: This was a 6 week prospective, randomized, open label, comparative, parallel group clinical study. All patients had a forced expiratory volume in 1 second (FEV1) of 60-80% predicted normal. The patients were assessed for sensory perception and satisfaction in group I (pMDIs with spacers) and group II (DPIs) using patient evaluation questionnaire (PEQ) and patient satisfaction and preference questionnaire (PASAPQ) at the end of 6th week.Results: In PEQ, statistical analysis of the mean attribute ratings showed that both the devices were easy to use by patients. More medication was felt reaching throat using DPIs. Patients on DPI liked the taste and felt it to be less strong than patients on pMDIs. The overall liking was statistically comparable in two groups. In PASAPQ, the patients on DPI group were very satisfied with the treatment than pMDI (p<0.05).Conclusion: Overall liking of both DPIs and pMDIs was comparable and patients on DPI were satisfied more with the treatment device. Patient sensory perception and satisfaction may be taken into account in selecting device to improve compliance to treatment

Contamination of Asian herbal drugs : Need for its critical evaluation

Herbal drugs have been used as remedies for the treatment of large number of humans, ailments since ancient times as the traditional medicine system; India has a glorious past, having first documented record of fully developed medical science known as Ayurveda written by several ancient Rishi’s. Major groups of indigenous system of medicine are based on herbal drugs. A survey made by WHO indicated that about 80% of the world population relies on herbal drugs. Herbal drugs are becoming more popularized and important even in the developednations with hope of their non-toxicity and may play a role of substitute to overcome the problems of multi drug resistant pathogens. Cultivation of drug plants has been started in large scale without considering the land quality and in certain cases irrigation with waste water. Application of different fungicides, pesticides in that specific field or in neighboring fields may be directly deposited superficially or may be absorbed by the plant system. Therefore in the present situation possibilities of the Asian herbal drugs, contaminated with large number of toxic components cannot be ignored which may severely hurt human life in place of healing or curing.These contaminants may be either alone or in combination and may be originated intrinsically, extrinsically and deliberately. Certain contaminants may be highly toxic and may cause severe adverse effect in the human system. Some of the important contaminants are the heavy metals like lead, arsenic, cadmium, mercury, copper and pesticides. Adulteration of modern drugs to enhance drug potency and heterogenous microbial population including human pathogens may contaminate both raw and powdered herbal drugs. Among these contaminants, microbial contamination seems more severe and may be due to their dual action on the drug i.e. utilization of medicinally important chemical components as nutrients and in certain cases by producing certain mycotoxins, which may be even carcinogenic under certain conditions . Critical evaluation of both raw and powdered herbal drugs for contaminants is the urgent need of the time in order to provide safety measures in herbal health care medicine

Salient Object Detection Techniques in Computer Vision-A Survey.

Detection and localization of regions of images that attract immediate human visual attention is currently an intensive area of research in computer vision. The capability of automatic identification and segmentation of such salient image regions has immediate consequences for applications in the field of computer vision, computer graphics, and multimedia. A large number of salient object detection (SOD) methods have been devised to effectively mimic the capability of the human visual system to detect the salient regions in images. These methods can be broadly categorized into two categories based on their feature engineering mechanism: conventional or deep learning-based. In this survey, most of the influential advances in image-based SOD from both conventional as well as deep learning-based categories have been reviewed in detail. Relevant saliency modeling trends with key issues, core techniques, and the scope for future research work have been discussed in the context of difficulties often faced in salient object detection. Results are presented for various challenging cases for some large-scale public datasets. Different metrics considered for assessment of the performance of state-of-the-art salient object detection models are also covered. Some future directions for SOD are presented towards end