Degradation assessment of nuclear power plant extraction steam piping after long term service

Degradation due to ageing in a Nuclear Power Plant’s Extraction Steam Piping has been assessed. Samples of twelve years old seamless carbon steel SA 106B pipe have been taken and subjected to metallographic examination, hardness testing, radiographic examination and ultrasonic thickness measurement to investigate and analyze ageing in piping material. Metallographic examination of aged sample revealed irregularly distributed graphite nodules in ferrite grains and on grain boundaries as well, the reduction in pearlite phase has also been observed from 40% to 25%. This Transformation in microstructure has reduced hardness of steel. Reduction in hardness has found 20.4% and 0.7% on inner and outer layer of the pipe material respectively. Corrosion pits having average depth of 0.07 mm have been found on external surface. Radiograph of aged pipe revealed material removal and wall thinning due to erosion on inner surface of pipe. The extent of erosion had been checked, which has found 8.7%

Application of sayong ball clay membrane filtration for Ni (II) removal from industrial wastewater

Wastewater containing heavy metals, such as nickel ions (Ni2+), discharged from industry to water streams poses a serious threat because even at low concentrations, it does not naturally degrade and is toxic to human and aquatic life. This article reviews a novel technique for wastewater treatment using a Sayong ball clay (SBC) membrane to remove nickel from industrial waste water. SBC powder was achieved through milling using a planetary ball mill (milling time; 10, 20 and 30 h), further labelled as SBC 10, SBC 20 and SBC 30, with a ball-to-powder of ratio 7: 1 and rotation speed of 300 rpm. The physical characteristics of the apparent porosities, bulk density and shrinkage were investigated. XRD was used to study the phase, while FESEM was used to analysethe microstructure of the fired membrane. The FESEM microstructure indicates a decreased particle size (SB30). Filtration was conducted using a dead-end filtration system. The fabricated SBC 10, 20 and 30 membranes showed significant removal of nickelfrom industrial wastewater-88.87%, 82.96% and 85.13%, respectively. This study revealed that the SBC membrane is a promising membrane to remove nickel from industrial wastewater. The results also indicate the possibility of highlighting the introduced technique as a new technique for the treatment of industrial wastewater. As a new trend for waste management, pollution prevention could be applied in Malaysia as one of the advanced biotechnologies to solve various environmental problems

Biallelic variants in CSMD1 are implicated in a neurodevelopmental disorder with intellectual disability and variable cortical malformations

CSMD1 (Cub and Sushi Multiple Domains 1) is a well-recognized regulator of the complement cascade, an important component of the innate immune response. CSMD1 is highly expressed in the central nervous system (CNS) where emergent functions of the complement pathway modulate neural development and synaptic activity. While a genetic risk factor for neuropsychiatric disorders, the role of CSMD1 in neurodevelopmental disorders is unclear. Through international variant sharing, we identified inherited biallelic CSMD1 variants in eight individuals from six families of diverse ancestry who present with global developmental delay, intellectual disability, microcephaly, and polymicrogyria. We modeled CSMD1 loss-of-function (LOF) pathogenesis in early-stage forebrain organoids differentiated from CSMD1 knockout human embryonic stem cells (hESCs). We show that CSMD1 is necessary for neuroepithelial cytoarchitecture and synchronous differentiation. In summary, we identified a critical role for CSMD1 in brain development and biallelic CSMD1 variants as the molecular basis of a previously undefined neurodevelopmental disorder

Design and Implementation of Cooperative Network Connectivity Proxy Using Universal Plug and Play

Reducing the network energy waste is one of the key challenges of the Future Internet. Many Internet-based applications require preserving network connectivity for getting incoming remote service requests or confirming their availability and presence to remote peers by sending periodic keep-alive or heart-beating messages. Billions of dollars of electricity is wasted every year to keep idle or unused network hosts fully powered-up only to maintain the network connectivity. This paper describes a new approach to design and implement the cooperative Network Connectivity Proxy (NCP) for reducing energy waste in the ever-growing future Internet. The NCP is implemented using Universal Plug and Play (UPnP), that uses a set of protocols to allow seamless discovery and interaction between the network hosts and the NCP. The NCP allows all registered network hosts to transition into the low power sleep modes and maintains the network connectivity on their behalf. It handles basic network presence and management protocols like ICMP, DHCP, ARP etc on behalf of the sleeping network hosts and wakes them up only when their resources are required. Depending on the network hosts time usage model, the NCP can provide about 60 to 70% network energy savings

Acute Myeloid Leukemia (AML) Detection Using AlexNet Model

Acute Myeloid Leukemia (AML) is a kind of fatal blood cancer with a high death rate caused by abnormal cells’ rapid growth in the human body. The usual method to detect AML is the manual microscopic examination of the blood sample, which is tedious and time-consuming and requires a skilled medical operator for accurate detection. In this work, we proposed an AlexNet-based classification model to detect Acute Myeloid Leukemia (AML) in microscopic blood images and compared its performance with LeNet-5-based model in Precision, Recall, Accuracy, and Quadratic Loss. The experiments are conducted on a dataset of four thousand blood smear samples. The results show that AlexNet was able to identify 88.9% of images correctly with 87.4% precision and 98.58% accuracy, whereas LeNet-5 correctly identified 85.3% of images with 83.6% precision and 96.25% accuracy

A new isoquinoline alkaloid with anti-microbial properties from <i>Berberis jaeschkeana</i> Schneid. var. <i>jaeschkeana</i>

<div><p>One new isoquinoline alkaloid named berberidione <b>(1)</b> along with four new source alkaloids berberine <b>(2)</b>, palmatine <b>(3)</b>, jatrorrhizine <b>(4)</b> and chondrofoline <b>(5)</b> and three new source non-alkaloids syringic acid <b>(6)</b>, β-sitosterol <b>(7)</b> and stigmasterol <b>(8)</b> was isolated and characterised from different fractions of <i>Berberis jaeschkeana</i> Schneid var. <i>jaeschkeana</i>. All the structures were determined from 1D and 2D spectroscopic data. Crude extract, sub-fractions and isolated compounds showed excellent anti-microbial properties. The toxicity level for the alkaloids was found to be very low on THP-1 cells.</p></div

Isolation, structure elucidation and enzyme inhibition studies of a new hydroxy ester and other compounds from <i>Berberis jaeschkeana</i> Schneid stem

<div><p>Bioassay-guided isolation and fractionation of <i>Berberis jaeschkeana</i> Schneid var. <i>jaeschkeana</i> stem resulted in the isolation and characterisation of a new long chain hydroxy ester named as berberinol (<b>1</b>) along with six known compounds (<b>2</b>–<b>7</b>). All the structures were established from 1D and 2D spectroscopic data. Crude extract, sub-fractions and all the isolated compounds were evaluated for their anti-fungal and urease enzyme inhibition properties. All of the sub-fractions and compounds showed good anti-fungal and urease enzyme inhibition properties. Minimum inhibitory concentrations (MICs) were calculated for all active samples in case of urease enzyme inhibition. MICs values were found to be in the range of 39.03–49.78 μg/mL for urease enzyme inhibition.</p></div