Array Diagnosis using Compressed Sensing in Near Field

This paper will present a technique for array diagnosis using a small number of measured data acquired by a near-field system by making use of the concepts of compressed sensing technique in image processing. Here, the high cost of large array diagnosis in near-field facilities is mainly caused by the time required for the data acquisition. So there is a need to decrease the measurement time and at the same time the reconstruction of an array must be satisfactory. The proposed technique uses less number of measurement points compared to other proposed techniques like back-propagation method and standard matrix inversion method. Keywords: Arrays, Compressed sensing, near fiel

AI-Powered HCM: The Analytics and Augmentations

Artificial intelligence (AI) is seemingly everywhere, red-hot right now, livewire and livelihood for everyone contributing $15 trillion to the World Economy and amplifying Society (Humans 2.O), auguring Service (Cyborg Concierge) and augmenting Management (C-Suite). The waning of ‘Enterprise Technologies’ (R/3 Legacy Systems) and waxing of ‘Dynamic Technologies’ viz., Artificial Intelligence (AI), Deep Learning (DL) and Machine Learning (ML) reshaped, redefined and rewrite the concept of ‘Human Capital Management (HCM)’. The ‘Human Capital’ has always been a top challenge and ‘Human Talents’ are ever scarce resources even today. The Human Capital Management (HCM) and Human Capital Intelligence (HCI) emerged as ‘Natural Intelligence Science’ for Chief Human Resources Officer (CHRO). The HCM Functions have been augmenting, ‘app’ified (an application form) a nerve in a large, diagnosing and detecting problems, proposing the promising solutions. AI-powered HCM embedded into the workplace and transformed the workforce from doing digital to being digital, from centre driven to human-centric, from compliance and control to trust and empowerment. In dictum, AI and ML will be ‘Bright and Shiny Objects’ in the future reinventing Employee Workforce Analytics and redefining Employee Interface (EI) and refining Employee Experience (EX)

Molar pregnancy with a coexistent fetus following assisted reproductive techniques: A review of literature of the clinical course and sequelae

The clinical course and sequelae of molar pregnancy pose several diagnostic and management challenges, especially conceiving after assisted reproductive technology. A review of the literature was conducted on molar pregnancy with a coexistent fetus following assisted reproductive techniques, its clinical course, and sequelae. The literature review was conducted using search terms “coexistent fetus,” “hydatidiform mole,” “twin,” “assisted conception” AND “persistent gestational trophoblastic disease (PGTD)” OR “chemotherapy” in PubMed. A literature search identified 26 reported cases conceived following assisted conception. Management guidelines for hydatidiform mole with live fetuses are very vague and do not give specificity due to the fact that it is often associated with complications and bad obstetric outcomes. It also requires continuous monitoring and follow-up in a tertiary care center anticipating disease progression to postnatal PGTD. To assess the risk of continuation of pregnancy, multicentric studies with larger sample sizes are required to have a valid finding

Molar pregnancy with a coexistent fetus following assisted reproductive techniques: Two case reports

Hydatidiform mole with the coexisting live fetus is a rare entity occurring in 0.005%–0.01% of all pregnancies. With the introduction of assisted reproductive techniques (ARTs), a significant rise in the incidence of multiple pregnancies has been reported. Here, we report two cases of molar pregnancies with a coexisting live fetus conceived following assisted conception. In our first case, pregnancy was continued and delivered a term live infant. The second case was aborted at 16 weeks' gestation due to maternal complications. These two patients needed chemotherapy due to persistent gestational trophoblastic disease. The rarity of this condition poses several diagnostic and management challenges, especially conceiving after ART the decision of termination for such couples

Can intrauterine infusion of granulocyte colony-stimulating factor or platelet-rich plasma increase implantation rate in women undergoing in vitro fertilization with normal endometrium: boon or bane?

Objective: The objective of this study was to investigate if intrauterine infusion of granulocyte colony-stimulating factor (G-CSF) or platelet-rich plasma (PRP) can improve endometrial parameters and the pregnancy rate in patients undergoing fresh embryo transfer with normal endometrial thickness. Materials and Methods: We conducted a retrospective observational study, at one of the assisted reproductive technique centers in central India. Data were collected from the institutional record system which was established as per the standard protocols. Data on a total of 225 patients who had an endometrial thickness >7 mm without any adjunct and underwent fresh embryo transfer in their first in vitro fertilization cycle during the past 2 years were collected and were categorized into three groups: Group A who had received intrauterine infusion of G-CSF (n = 75), Group B who received intrauterine infusion of PRP (n = 75), and Group C who (control group) received no intervention (n = 75). Results: The implantation rate was significantly higher in Group A (37.24%) than in Groups B and C (21.91% and 21.37%, respectively). No significant difference was found in the clinical pregnancy rate among Groups A, B, and C (50.68%, 40.54%, and 37.84%, respectively). Endometrial thickness increased significantly in Group A by approximately 2.3 mm. No significant change in other endometrial parameters in the three groups. The number of biochemical pregnancies was higher in the G-CSF group compared to the other two groups. Conclusion: Intrauterine infusion of G-CSF in women receiving fresh embryo transfer with normal endometrial thickness can increase endometrial thickness and the implantation rate without affecting other endometrial parameters and the cumulative pregnancy rate