Introduction: The incidence of meconium aspiration syndrome is still high in the developing world contributing significantly to the neonatal mortality. The study was aimed to know the risk factors contributing to meconium aspiration syndrome and neonatal outcome in a tertiary government hospital of the country.Materials and Methods: It was a hospital based cross sectional study done over a period of three months. All live newborns born through meconium stained liquor were enrolled and all the details regarding mother, neonate were recorded. Odd’s ratio and bivariate analysis was done to assess the risk factors for meconium aspiration syndrome.Result: Out of all the deliveries 14.6% were meconium stained amniotic fluid and meconium aspiration syndrome developed in 6.6% of the neonates. Low Apgar score and premature rupture of membranes was significantly associated with the risk of occurrence of meconium aspiration syndrome. Neonates who developed meconium aspiration syndrome had mortality of 11.3%.Conclusion: Perinatal asphyxia and premature rupture of membranes were significantly associated with the development of meconium aspiration syndrome and neonates who developed meconium aspiration syndrome had high mortality.J Nepal Paediatr Soc 2015;35(1):44-48

No abstract

Variable forgetting factor (VFF) least squares (LS) algorithm for polynomial channel paradigm is presented for improved tracking performance under nonstationary environment. The main focus is on updating VFF when each time-varying fading channel is considered to be a first-order Markov process. In addition to efficient tracking under frequency-selective fading channels, the incorporation of proposed numeric variable forgetting factor (NVFF) in LS algorithm reduces the computational complexity.

Background: Infertility is a growing concern of the society. In many cases the exact cause of infertility may not be elucidated, whether it is tubal, ovarian, uterine, or a combination of factors. This paper aims to understand the role of diagnostic hystero-laparoscopy in evaluation of cases of infertility.Methods: This prospective study included 200 infertile women and it was conducted at department of Obstetrics and Gynaecology, MGM Hospital, during the period between January 2016 to December 2016. All the infertile patients either with primary or secondary infertility were included after thorough evaluation.Results: Out of 200 cases, 118(59%) patients had primary infertility and 82(41%) had secondary infertility. While laparoscopy detected abnormalities in 49% of the cases, significant hysteroscopy findings were noted in only 23.5% of cases. The most common laparoscopic abnormalities were endometriosis (32%) and unilateral tubal lockage (24%). On hysteroscopy, periosteal adhesions were the commonest abnormality in both the groups.Conclusions: Diagnostic hystero-laparoscopy is a safe and cost-effective method and should be considered when there are abnormal HSG results, a past history of pelvic infection, pelvic surgery and /or unexplained secondary infertility during management of infertile couple. Evaluation of certain significant and correctable tubo-peritoneal and intrauterine pathologies which are usually missed by other imaging modalities, can be diagnosed as well as managed in some cases by hystero-laparoscopy.

For the past few years, the IoT (Internet of Things)-based restricted WSN (Wireless sensor network) has sparked a lot of attention and progress in order to attain improved resource utilisation as well as service delivery. For data transfer between heterogeneous devices, IoT requires a stronger communication network and an ideally placed energy-efficient WSN. This study uses deep learning architectures to provide a unique resource allocation method for wireless sensor IoT networks with energy efficiency as well as data optimization. EE (Energy efficiency) and SE (spectral efficiency) are two competing optimization goals in this case. The network’s energy efficiency has been improved because of a deep neural network based on whale optimization. The heuristic-based multi-objective firefly algorithm was used to optimise the data. This proposed method is applied to optimal power allocation and relay selection. The study is for a cooperative multi-hop network topology. The best resource allocation is achieved by reducing overall transmit power, and the best relay selection is accomplished by meeting Quality of Service (QoS) standards. As a result, an energy-efficient protocol has been created. The simulation results demonstrate the suggested model’s competitive performance when compared to traditional models in terms of throughput of 96%, energy efficiency of 95%, QoS of 75%, spectrum efficiency of 85%, and network lifetime of 91 percent.

No abstract

No abstract

The incidence of myoma associated with pregnancy is reported at 0.3-5%, with a majority of myomas not requiring surgical intervention during pregnancy or delivery. [5][6][7][8] In the pregnant women with coexisting fibroids, there are increased incidences of first trimester losses, pressure symptoms, pain from red degeneration (necrobiosis), torsion of a pedunculated variant, ABSTRACT Background: Myomectomy at the time of caesarean delivery is controversial because of the risk of intractable hemorrhage and increased postoperative morbidity. The incidence of myoma associated with pregnancy is reported at 0.3-5%, with a majority of myomas not requiring surgical intervention during pregnancy or delivery. Recent studies consider it to be safe in selected patients and thus allow women to have a better obstetric outcome in future pregnancies, and to avoid hysterectomy. It relieves symptoms associated with fibroids and negates the need for later surgery or sonographic follow-ups for the fibroid after delivery. Methods: We performed a prospective cohort study of 15 patients with myomas who underwent myomectomy at the time of Caesarean section at MGM Hospital between January 2016 and December 2016. In a predesigned proforma, patient's details such as age, parity, antenatal course, gestational age at delivery, type of Caesarean section, size and location of the fibroids, blood loss, postoperative morbidity and perinatal outcome were noted. Results: The incidence of hemorrhage in the study group was 20%. There was no significant increase in the incidence of postpartum fever (6.6%), operating time (50 min), and length of postpartum stay (5.6 days). No patient required hysterectomy. Size of fibroid did not appear to affect the incidence of hemorrhage, although intramural myomas were more associated with hemorrhage. Conclusions: This study shows that myomectomy during caesarean section is a safe procedure and is not associated with major intraoperative and postoperative complications.