25 research outputs found
Caesarean scar ectopic pregnancy: a rare case report
No full textCaesarean scar ectopic is one of the rarest among all ectopic pregnancies. It is defined as a blastocyst implantation on a previous caesarean scar. The incidence of caesarean scar ectopic has increased due to rise in number of caesarean deliveries. Early diagnosis by using ultrasonography and prompt management improves the outcome by allowing preservation of future fertility. It is very important because any delay can lead to increased maternal morbidity and mortality. We are reporting a rare case of gravida3 para1 live1 abortion1 with previous one caesarean delivery, diagnosed as caesarean scar ectopic pregnancy with the help of ultrasonography. Patient underwent uterine artery embolization (UAE) after failed medical management followed by hysteroscopy and ultrasound guided dilatation and evacuation, and on histopathology examination caesarean scar pregnancy was confirmed
Giant proximity exchange and flat Chern band in 2D magnet-semiconductor heterostructures
No full textVan der Waals (vdW) heterostructures formed by two-dimensional magnets and
semiconductors have provided a fertile ground for fundamental science and for
spintronics. We present first-principles calculations finding a proximity
exchange splitting of 14 meV equivalent to an effective Zeeman field of 120 T
in the vdW magnet-semiconductor heterostructure MoS/CrBr, leading to a
2D spin-polarized half-metal with carrier densities ranging up to
cm. We consequently explore the effect of large exchange coupling on the
electronic bandstructure when the magnetic layer hosts chiral spin textures
such as skyrmions. A flat Chern band is found at a "magic" value of
magnetization for Schr\"odinger electrons, and it
generally occurs for Dirac electrons. The magnetic proximity induced anomalous
Hall effect enables transport-based detection of chiral spin textures, and flat
Chern bands provides an avenue for engineering various strongly correlated
states.Comment: 5+4 pages, 7 figures; v2 accepted to Science Advance
Zero-field composite Fermi liquid in twisted semiconductor bilayers
No full textRecent experiments have produced evidence for fractional quantum anomalous
Hall (FQAH) states at zero magnetic field in the semiconductor moir\'e
superlattice system MoTe. Here we argue that a composite fermion
description, already a unifying framework for the phenomenology of 2d electron
gases at high magnetic fields, provides a similarly powerful perspective in
this new context. To this end, we present exact diagonalization evidence for
composite Fermi liquid states at zero magnetic field in MoTe at fillings
and . We dub these non-Fermi liquid metals
anomalous composite Fermi liquids (ACFLs), and we argue that they play a
central organizing role in the FQAH phase diagram. We proceed to develop a long
wavelength theory for this ACFL state that offers concrete experimental
predictions upon doping the composite Fermi sea, including a Jain sequence of
FQAH states and a new type of commensurability oscillations originating from
the superlattice potential intrinsic to the system.Comment: Phys. Rev. Lett. journal version. Editors' Suggestion and Featured in
Physics. main: 5 pages, 3 figures. SM: 5 pages, 3 figure
Embedded System to Prevent Traffic Congestion by Creating Traffic Light Delays
No full textIncrease of vehicles has been created traffic congestion and traffic jams which is a serious threat for the ambulance to reach its destinations in time. We as engineers have to consider this serious problem and duty to make an easy go for the ambulance during emergency. In a solution to solve this threat to prevent further threat to lives we are going to systemize the sensors which optimizes the traffic light operated by microcontroller which is powered by solar panel. This system reduces the traffic jam and congestion up to certain extent. Microcontroller used here is 89S52 which belongs to MCS-51 family. IR Transmitter and Receiver are placed on either side of the road. When vehicle passes in between IR Transmitter and Receiver, IR System is activated. IR System is controlled by microcontroller and t counts the number of vehicle passing on the road and keeps in memory. When vehicle count exceeds the limit microcontroller create the traffic light delays. Based on vehicle count, microcontroller defines different ranges for traffic light delays and update accordingly. At user pre-defined recording interval it records the vehicle count on a real time base. This recorded data is used to analyze traffic conditions in future. This data could be downloaded through communication between the microcontroller and the computer which is done by the computer administrator (access the traffic condition) on a central computer station access the traffic condition and reduce the congestion by creating traffic light delays
Impact of climate change stressors—temperature, CO2, and UV-B—on early growth and development of different cover crop species
No full textDifferent cover crop (CC) species may respond differently to the projected climate change scenarios. A study was carried out in a controlled environmental chamber to evaluate early season growth and development of five CC species: cereal rye (Secale cereale L.), triticale (x Triticosecale Wittmack), winter wheat (Triticum aestivum L.), crimson clover (Trifolium incarnatum L.), and mustard (Brassica juncea). Treatments consisted of two levels of carbon dioxide (CO2) (420 and 720 ppm), ultraviolet-B (UV-B) radiation (0 and 10 kJ m−2 day−1), and temperatures (29/21°C and 19/11°C day/night), and their combinations. Root, shoot, and physiological parameters were recorded, and a combined stress response index (CSRI) was derived. Results indicated that higher CO2 (+CO2) had a net positive effect on all five CC species, with CSRI values ranging from 1.0 to 5.1. Conversely, higher UV-B radiation (+UV) had a net negative impact, with CSRI values ranging from −2.9 to −7.6. The most favorable environment for all CC species was the combination of increased fall temperature and elevated CO2 (+T+ CO2). The negative impact of +UV was mitigated in an elevated CO2 and a high temperature environment, mimicking fall temperatures in the US Midsouth. Among the CC species, mustard was the most responsive, with a 151% increase in root and shoot combined dry weight under the +T+ CO2 treatment and an 86% decrease under the +UV treatment. Rye and triticale were the least impacted by the imposed climatic stressors. These results are of particular interest to the agricultural and environmental science community as they offer insights into developing and selecting CC species with adaptable and desirable morphological characteristics in anticipation of a changing climate
1D and 2D-HSQC NMR: two methods to distinguish and characterize heparin from different animal and tissue sources
No full textFrontiers in Medicine, 6, 1-9Note : if this item contains full text it may be a preprint, author manuscript, or a Gold OA copy that permits redistribution with a license such as CC BY. The final version is available through the publisher’s platform.The US Food and Drug Administration has encouraged the reintroduction of bovine heparin drug product to the US market to mitigate the risks of heparin shortages and potential adulteration or contamination of the primary source which is porcine heparin. Here, a 1D-NMR method was applied to compare heparin sodium of bovine intestinal origin with that of bovine lung, porcine, or ovine intestinal origin. The results showed that a simple 1D test using NMR signal intensity ratios among diagnostic signals of the proton spectra uniquely identified the origin of heparin and concomitantly could be used to assure the correct sample labeling. However, a limitation of the use of only mono-dimensional spectra is that these spectra may not provide sufficiently detailed information on the composition of heparin batches to adequately determine the quality of this complex product. As an alternative, a higher resolution quantitative 2D-HSQC method was used to calculate the percentage of mono- and disaccharides, distinguish the origin of heparin and, simultaneously, assess the heparin composition. The 2D-HSQC method is proposed to provide sufficient information to evaluate the quality of industrial production process used to make the drug substance. Together, the 1D and 2D data produced by these measurements can be used to assure the identity and purity of this widely used drug.National Institutes of Healt
Deep learning based high-throughput phenotyping of chalkiness in rice exposed to high night temperature
No full textBackground: Rice is a major staple food crop for more than half the world’s population. As the global population is expected to reach 9.7 billion by 2050, increasing the production of high-quality rice is needed to meet the anticipated increased demand. However, global environmental changes, especially increasing temperatures, can affect grain yield and quality. Heat stress is one of the major causes of an increased proportion of chalkiness in rice, which compromises quality and reduces the market value. Researchers have identified 140 quantitative trait loci linked to chalkiness mapped across 12 chromosomes of the rice genome. However, the available genetic information acquired by employing advances in genetics has not been adequately exploited due to a lack of a reliable, rapid and high-throughput phenotyping tool to capture chalkiness. To derive extensive benefit from the genetic progress achieved, tools that facilitate high-throughput phenotyping of rice chalkiness are needed. Results: We use a fully automated approach based on convolutional neural networks (CNNs) and Gradient-weighted Class Activation Mapping (Grad-CAM) to detect chalkiness in rice grain images. Specifically, we train a CNN model to distinguish between chalky and non-chalky grains and subsequently use Grad-CAM to identify the area of a grain that is indicative of the chalky class. The area identified by the Grad-CAM approach takes the form of a smooth heatmap that can be used to quantify the degree of chalkiness. Experimental results on both polished and unpolished rice grains using standard instance classification and segmentation metrics have shown that Grad-CAM can accurately identify chalky grains and detect the chalkiness area. Conclusions: We have successfully demonstrated the application of a Grad-CAM based tool to accurately capture high night temperature induced chalkiness in rice. The models trained will be made publicly available. They are easy-to-use, scalable and can be readily incorporated into ongoing rice breeding programs, without rice researchers requiring computer science or machine learning expertise
Additional file 5 of Deep learning based high-throughput phenotyping of chalkiness in rice exposed to high night temperature
No full textAdditional file 5: Table S3. Variation of the average IoU with the layer and threshold
Additional file 11 of Deep learning based high-throughput phenotyping of chalkiness in rice exposed to high night temperature
No full textAdditional file 11: Fig. S8. Example of false positive images
