A comparative study of intravenous ferricarboxymaltose and double dose oral iron therapy in treatment of anemia in pregnancy

Background: During pregnancy, iron deficiency is due to an imbalance between demand and supply, this worsens as pregnancy advances, according to CDC (centres for disease control and prevention) anemia is defined as Hb concentration lesser than 11 gm/dl in the first and third trimesters, and/or lesser than 10.5 gm/dl in the second trimester.Methods: The prospective comparative study was planned with the objective to assess the effectiveness of intravenous ferricarboxymaltose and oral double dose iron in treating anaemia in pregnant women. This study was conducted from January 2019 to June 2020 among 100 (50 in each group) pregnant anemic women attending a rural tertiary care centre.Results: This comparative study between double dose oral iron and i.v. iron treatment showed, hemoglobin levels improved at comparable rate across both treatments, however significantly more women achieved anemia correction with ferric carboxymaltose than oral iron More women achieved significant improvement in Hb with single dose of ferric carboxymaltose, whereas with oral iron additional dose of iron supplementation was required. Treatment related adverse reactions were seen more which oral iron treatment than with FCM. With markedly higher rates of gastrointestinal disorders.Conclusions: FCM is comparable more effective and better tolerated than oral iron treatment in pregnant women. Rapid correction of anemia was seen with i.v. FCM, thus in late stage pregnancy, when time to delivery is a limiting step, administration of FCM may be a more appropriate option than oral iron for rapid and effective anemia correction

Reliable and Automatic Recognition of Leaf Disease Detection using Optimal Monarch Ant Lion Recurrent Learning

Around 7.5 billion people worldwide depend on agriculture production for their livelihood, making it an essential component in keeping life alive on the planet. Negative impacts are being caused on the agroecosystem due to the rapid increase in the use of chemicals to combat plant diseases. These chemicals include fungicides, bactericides, and insecticides. Both the quantity and quality of the output are impacted when there is a high-scale prevalence of diseases in crops. Plant diseases provide a significant obstacle for the agricultural industry, which has a negative impact on the growth of plants and the output of crops. The problem of early detection and diagnosis of diseases can be solved for the benefit of the farming community by employing a method that is both quick and reliable regularly. This article proposes a model for the detection and diagnosis of leaf infection called the Automatic Optimal Monarch AntLion Recurrent Learning (MALRL) model, which attains a greater authenticity. The design of a hybrid version of the Monarch Butter Fly optimization algorithm and the AntLion Optimization Algorithm is incorporated into the MALRL technique that has been proposed. In the leaf image, it is used to determine acceptable aspects of impacted regions. After that, the optimal characteristics are used to aid the Long Short Term Neural Network (LSTM) classifier to speed up the process of lung disease categorization. The experiment's findings are analyzed and compared to those of ANN, CNN, and DNN. The proposed method was successful in achieving a high level of accuracy when detecting leaf disease for images of healthy leaves in comparison to other conventional methods

Removing Blurness in Picode Using Enhanced Modulation

ABSTRACT The appearance of a conventional 2D barcode pattern is often too obtrusive for integrating into an aesthetically designed advertisement. This is because of the fact that they didn't provide perceptual quality and decoding robustness of the encoded images. Besides, no human readable information is provided before the barcode is successfully decoded. There proposes a new picture-embedding 2D barcode, called PiCode, which mitigates these two limitations by equipping a scannable 2D barcode with a picturesque appearance. PiCode is designed with careful considerations on both the perceptual quality of the embedded image and the decoding robustness of the encoded message. Comparisons with existing beautified 2D barcodes show that PiCode achieves one of the best perceptual quality for the embedded image, and maintains a better trade-off between image quality and decoding robustness in various application conditions. The generation of PiCode thus enhances the customers to scan the code using their mobile phones in order to retrieve the data that carries behind them

A note on comonotonicity and positivity of the control components of decoupled quadratic FBSDE

In this small note we are concerned with the solution of Forward-Backward Stochastic Differential Equations (FBSDE) with drivers that grow quadratically in the control component (quadratic growth FBSDE or qgFBSDE). The main theorem is a comparison result that allows comparing componentwise the signs of the control processes of two different qgFBSDE. As a byproduct one obtains conditions that allow establishing the positivity of the control process.Comment: accepted for publicatio

Spin-phonon coupling suppressing the structural transition in perovskite-like oxide

Multifunctional properties in quantum systems require the interaction between different degrees of freedom. As such, spin-phonon coupling emerges as an ideal mechanism to tune multiferroicity, magnetism, and magnetoelectric response. In this letter, we demonstrate and explain, based on theoretical and experimental analyses, an unusual manifestation of spin-phonon coupling, i.e., prevention of a ferroelastic structural transition, and locking of high-temperature R-3m phase in a magnetically frustrated perovskite-like oxide Ba2NiTeO6. We present Ba2NiTeO6 as a prototype example among its family where long-range antiferromagnetic structure couples with a low-frequency Eg mode (at 55 cm-1) that exhibits a large anharmonicity. Our findings establish that spin-phonon coupling clearly suppresses the phonon anharmonicity preventing the structural phase transition from the R-3m to the C2/m phase in Ba2NiTeO6

A COMPARATIVE ANALYSIS OF NUTRIENT CONTENT OF SOILS SAMPLED FROM MID OF FOUR PLANTS AND DRIP CIRCLE OF COFFEE PLANTATIONS IN INDIA

Coffee growers often apply fertilizers very close to the plants, which results in accumulation of nutrients in one place leading to poor nutrient use efficiency, whereas soil sampling is done in the middle of four plants. Hence the objectives of this study was to compare nutrient status of soils sampled from drip circle and mid of four plants and recommend cost-effective fertilizer management

Experimental Limits on Solar Reflected Dark Matter with a New Approach on Accelerated Dark Matter-Electron Analysis in Semiconductors

Recently a Dark Matter-electron (DM-e) paradigm has drawn much attention. Models beyond the Standard Halo Model describing DM accelerated by high energy celestial bodies are under intense examination as well. In this letter, a Velocity Component Analysis method dedicated to swift analysis of Accelerated DM-electron interactions via semiconductor detectors is proposed and the first HPGe detector-based Accelerated DM-electron analysis is realized. Utilizing the method, the first germanium based constraint on sub-GeV Solar Reflected DM-electron interaction is presented with the 205.4 kg$\cdot$day dataset from the CDEX-10 experiment. In the heavy mediator scenario, the result excels in the mass range from 5$-$15 keV/$c^2$, achieving a three orders of magnitude improvement comparing with previous semiconductor experiments, and is comparable to currently the best direct detection experiments. In the light mediator scenario, the strongest constraint for DM lighter than 0.1 MeV/$c^2$ is presented. The result proves the feasibility and demonstrates the vast potential of the Velocity Component Analysis technique in future Accelerated DM-electron analysis with semiconductor detectors.Comment: 7 pages, 4 figure

Exotic Dark Matter Search with CDEX-10 Experiment at China Jinping Underground Laboratory

A search for exotic dark matter (DM) in the sub-GeV mass range has been conducted using 205 kg$\cdot$day data taken from a p-type point contact germanium detector of CDEX-10 experiment at China Jinping underground laboratory. New low-mass dark matter searching channels, neutral current fermionic DM absorption ($\chi+A\rightarrow \nu+A$) and DM-nucleus 3$\rightarrow$2 scattering ($\chi+\chi+A\rightarrow \phi+A$), have been analyzed with an energy threshold of 160 eVee. No significant signal was found. Thus new limits on the DM-nucleon interaction cross section are set for both models at sub-GeV DM mass region. A cross section limit for the fermionic DM absorption is set to be $\rm 2.5\times 10^{-46} cm^2$(90\% C.L.) at DM mass of 10 MeV/c$^2$. For the DM-nucleus 3$\rightarrow$2 scattering scenario, limits are extended to DM mass of 5 MeV/c$^2$ and 14 MeV/c$^2$ for the massless dark photon and bound DM final state, respectively.Comment: 5 pages, 7 figure

Search for exotic neutrino interactions using solar neutrinos in the CDEX-10 experiment

We investigate the exotic neutrino interactions using the 205.4 kg day exposure dataset of the CDEX-10 experiment at the China Jinping Underground Laboratory. New constraints on the mass and couplings of extra gauge boson are presented. The results are interpreted in two physics scenarios including an $U(1)_{B-L}$ gauge boson induced interaction between active neutrinos and electron/nucleus, and a dark photon induced the interaction between sterile neutrino and electron/nucleus where the dark photon couples to the Standard Model particles through kinetic mixing with the photon. This work probes new parameter space involving sterile neutrino coupling with dark photon with masses below 1 eV$/c^2$ at some typical choice of $\Delta m_{41}^{2}$ and $g^{\prime2}{\rm{sin}}^{2}2\theta_{14}$, which was previously unexplored by dark matter direct detection experiments and neutrino experiments.Comment: 6 pages, 3 figure

Projected sensitivity of the CDEX-50 experiment

CDEX-50 is a next-generation project of the China Dark Matter Experiment (CDEX) that aims to search for dark matter using a 50-kg germanium detector array. This paper comprises a thorough summary of the CDEX-50 experiment, including an investigation of potential background sources and the development of a background model. Based on the baseline model, the projected sensitivity of weakly interacting massive particle (WIMP) is also presented. The expected background level within the energy region of interest, set to 2--2.5 keVee, is $\sim$0.01 counts keVee$^{-1}$ kg$^{-1}$ day$^{-1}$. At 90\% confidence level, the expected sensitivity to spin-independent WIMP-nucleon couplings is estimated to reach a cross-section of 5.3 $\times$ 10$^{-45}$ cm$^{2}$ for a WIMP mass of 5 GeV/c$^{2}$ with an exposure objective of 150 kg$\cdot$year and an analysis threshold of 160 eVee. This science goal will correspond to the most sensitive results for WIMPs with a mass of 2.2--8 GeV/c$^{2}$.Comment: 11 pages, 11 figure