Trigonelline mitigates bleomycin-induced idiopathic pulmonary fibrosis in mice

Objective:To evaluate the effect of trigonelline on bleomycin-induced idiopathic pulmonary fibrosis(IPF)and to explore its underlying mechanisms using network pharmacology.Methods:IPF was induced in C57BL/6 mice by a single intratracheal instillation of bleomycin(5 mg/kg).Trigonelline was administered at doses of 25,50,and 100 mg/kg/day orally from the 2nd day post-bleomycin induction up to the 14th day.In IPF-induced mice,lung coefficient,immune cell infiltration in bronchoalveolar lavage fluid,and oxidative stress were measured.Histological alterations in lung tissues were also assessed.Moreover,network pharmacology approach was conducted to reveal molecular interactions of bleomycin and trigonelline with targets of IPF.Results:Trigonelline treatment reduced bleomycin-induced oxidative stress and immune cell infiltration,and mitigated physiological changes in the lung tissues of mice.Moreover,trigonelline alleviated bleomycin-induced histological alterations in lung tissues.Network pharmacology analysis showed that bleomycin and trigonelline interacted with IPF targets,such as NFKB1,HDAC2,HIF1A,and TLR4.Conclusions:The interaction of trigonelline with key IPF targets and its ameliorative effects on lung damage and oxidative stress highlight its potential in treating IPF.It may be considered an antifibrotic agent for further clinical development.

Upgradation of bauxite by molecular hydrogen and hydrogen plasma

An approach was developed to upgrade the bauxite ore by molecular hydrogen and hydrogen plasma. A gibbsite-type bauxite sample was obtained from National Aluminium Company（NALCO）, Odisha, India. The obtained sample was crushed and sieved（to 100 μm） prior to the chemical analysis and grain-size distribution study. The bauxite sample was calcined in the temperature range from 500 to 700°C for different time intervals to optimize the conditions for maximum moisture removal. This process was followed by the reduction of the calcined ore by molecular hydrogen and hydrogen plasma. Extraction of alumina from the reduced ore was carried out via acid leaching in chloride media for 2 h at 60°C. X-ray diffraction, scanning electron microscopy, thermogravimetry in conjunction with differential scanning calorimetry, and Fourier transform infrared spectroscopy were used to determine the physicochemical characteristics of the material before and after extraction. Alumina extracted from the reduced ore at the optimum calcination temperature of 700°C and the optimum calcination time of 4 h is found to be 90% pure.

Real Time Implementation of Series Expansion Based Digital Controller for Magnetic Levitation System

This paper addresses a digital controller for a real time magnetic levitation system using series expansion of pulse transfer function, which achieves desired closed loop response. The proposed digital controller designed, based on series expansion of pulse transfer function by solving a linear equation using the method of least squares, which improves the transient performance and step tracking capability of the compensated system. The designed algorithm used for the control input is not iterative, so the calculation is very fast. The proposed control scheme has successfully applied on maglev system and also validated through the simulation and hardware experimental results.

A high Q terahertz metamaterial absorber using concentric elliptical ring resonators for harmful gas sensing applications

A nearly perfect metamaterial absorber is proposed that can find utility in terahertz sensing applications.The design consists of two concentric elliptical ring resonators(ERRs)whose parameters are appropriately set to achieve dual band absorption with near perfect absorption.The first absorption band at 3.62 THz having a Q-factor of 51.7 was caused due to the currents in the outer and inner ERR.The second absorption peak at 3.814 THz having a Q factor of 1411.11 was a consequence of currents flowing across the gap between the two concentric resonators.Furthermore,it is observed that the absorption bands are sensitive to the variation in refractive index of the surrounding medium.The sensitivity's in the absorption bands are 3 THz/RIU and 3.59 THz/RIU respectively.A sensor is proposed based on this design to detect harmful gases,which is demonstrated for detection of Methane and Chloroform.High Q-factor and high sensitivity of the narrow band makes the design an excellent sensor for detecting variations in the refractive index.

Role of indoleamine 2,3-dioxygenase 1 in immunosuppression of breast cancer

Breast cancer(BC)contributes greatly to global cancer incidence and is the main cause of cancer-related deaths among women globally.It is a complex disease characterized by numerous subtypes with distinct clinical manifestations.Immune checkpoint inhibitors(ICIs)are not effective in all patients and have been associated with tumor resistance and immunosuppression.Because amino acid(AA)-catabolizing enzymes have been shown to regulate immunosuppressive effects,this review investigated the immunosuppressive roles of indoleamine 2,3-dioxygenase 1(IDO1),a tryptophan(Trp)-catabolizing enzyme,which is overexpressed in various metastatic tumors.It promotes immunomodulatory effects by depleting Trp in the regional microenvironment.This leads to a reduction in the number of immunogenic immune cells,such as effector T and natural killer(NK)cells,and an increase in tolerogenic immune cells,such as regulatory T(Treg)cells.The BC tumor microenvironment(TME)establishes a supportive niche where cancer cells can interact with immune cells and neighboring endothelial cells and is thus a feasible target for cancer therapy.In many immunological contexts,IDO1 regulates immune control by causing regional metabolic changes in the TME and tissue environment,which may further affect the maturation of systemic immunological tolerance.In the development of effective treatment targets and approaches,it is essential to understand the immunomodulatory effects exerted by AA-catabolizing enzymes,such as IDO1,on the components of the TME.

Advances in Hyperspectral Image Classification Based on Convolutional Neural Networks: A Review

Hyperspectral image(HSI)classification has been one of themost important tasks in the remote sensing community over the last few decades.Due to the presence of highly correlated bands and limited training samples in HSI,discriminative feature extraction was challenging for traditional machine learning methods.Recently,deep learning based methods have been recognized as powerful feature extraction tool and have drawn a significant amount of attention in HSI classification.Among various deep learning models,convolutional neural networks(CNNs)have shown huge success and offered great potential to yield high performance in HSI classification.Motivated by this successful performance,this paper presents a systematic review of different CNN architectures for HSI classification and provides some future guidelines.To accomplish this,our study has taken a few important steps.First,we have focused on different CNN architectures,which are able to extract spectral,spatial,and joint spectral-spatial features.Then,many publications related to CNN based HSI classifications have been reviewed systematically.Further,a detailed comparative performance analysis has been presented between four CNN models namely 1D CNN,2D CNN,3D CNN,and feature fusion based CNN(FFCNN).Four benchmark HSI datasets have been used in our experiment for evaluating the performance.Finally,we concluded the paper with challenges on CNN based HSI classification and future guidelines that may help the researchers to work on HSI classification using CNN.

Computational Identification of Sweet Wormwood (Artemisia annua) microRNA and Their mRNA Targets

Despite its efficacy against malaria, the relatively low yield （0.01%-0.8%） of artemisinin in Artemisia annua is a serious limitation to the commercialization of the drug. A better understanding of the biosynthetic pathway of artemisinin and its regulation by both exogenous and endogenous factors is essential to improve artemisinin yield. Increasing evidence has shown that microRNAs （miRNAs） play multiple roles in various biological processes. In this study, we used previously known miRNAs from Arabidopsis and rice against expressed sequence tag （EST） database of A. annua to search for potential miRNAs and their targets in A. annua. A total of six potential rniRNAs were predicted, which belong to the miR414 and miR1310 families. Furthermore, eight potential target genes were identified in this species. Among them, seven genes encode proteins that play important roles in artemisinin biosynthesis, including HMG-CoA reductase （HMGR）, amorpha-4,11-diene synthase （ADS）, farnesyl pyrophosphate synthase （FPS） and cytochrome P450. In addition, a gene coding for putative AINTEGUMENTA, which is involved in signal transduction and development, was also predicted as one of the targets. This is the first in silico study to indicate that miRNAs target genes encoding enzymes involved in artemisinin biosynthesis, which may help to understand the miRNA-mediated regulation of artemisinin biosynthesis in A. annua.

A state-of-the-art review of solar passive building system for heating or cooling purpose

The major portion of energy in a building is consumed by heating, ventilating, and air-conditioning （HVAC）. The traditional heating and cooling systems contribute greatly to the emission of greenhouse gases, especially carbon dioxide. Four different ways, i.e., Trombe wall, solar chimney, unglazed transpired solar facade, and solar roof, are adopted for solar heating. Similarly, two major ways, i.e., evaporative cooling and building integrated evaporative cooling are adopted for cooling of the building. Therefore, an attempt has been made in this paper to compile the developments of solar heating and cooling technologies in a building.

Study of flow characteristics within randomly distributed submerged rigid vegetation

Flow through submerged rigid vegetation has been studied both analytically and experimentally.The Reynolds stress,present in the governing equation,has been modeled using one of the turbulent stress equations,adopted in numerous cases.The adva ntage of this turbulent stress model is to replace the mixing length non linear term of the stress with a linear relatio n between stress and the velocity gradient.The velocity field and shear stress are obtained by solving the governing force balance equation numerically.A correlation,validated with the experimental results,has been developed for the relevant non-dimensional numbers.

Comparative investigation towards machinability improvement in hard turning using coated and uncoated carbide inserts： part Iexperimental investigation

The investigation of low cost uncoated andcoated carbide insert in the hard turning of hardened AISID2 steel （≥55 HRC） will definitely open up a new arena asan economical alternative suitable to industrial machiningsectors. Thus, this paper reports the comparative machin-ability assessment for the hard turning of AISI D2 steel（（55 ± 1） HRC） by coated and uncoated carbide insert in adry environment. Micro hardness and abrasion tests werecarried out to assess resistance capability against wear. Theabove test results confirmed the greater wear resistanceability of AIaO3 coated carbide insert over uncoated car-bide. Based on the extensive investigation of comparativemachinability, the coated carbide insert （TiN-TiCN-A12O3）outperformed the uncoated carbide insert with regard tosurface roughness, flank wear, chip-tool interface temper-ature, and chip morphology. Abrasion and diffusion wereobserved as the principal tool wear mechanisms in theinvestigated range. The uncoated carbide failed completelydue to the severe chipping and quick dulling of the cuttingedge, which led to its unsuitability for machining hardenedsteel.

A novel analytical method for solving (2+1)- dimensional extended Calogero-Bogoyavlenskii-Schiffequationinplasmaphysics

In this paper,the new travelling wave solutions of the(2+1)-dimensional extended Calogero-Bogoyavlenskii-Schiff(ECBS)equationareinvestigated.Themainaimof thisworkisto findthenew exact solutions with the aid of relatively new(GG+G+A)-expansion method.Moreover,the physical inter-pretation of the nonlinear phenomena is reported through the exact solutions,which indicate the efficacy of the proposed method.Furthermore,the recovered solutions are periodic and solitary wave solutions which are presented graphically.

Comparative study on machinability improvement in hard turning using coated and uncoated carbide inserts： part II modeling, multi-response optimization, tool life, and economic aspects

The present study focused on mathematical modeling, multi response optimization, tool life, and eco- nomical analysis in finish hard turning of AISI D2 steel （（55 4- 1） HRC） using CVD-coated carbide （TiN/TiCN/ A1203） and uncoated carbide inserts under dry environ- mental conditions. Regression methodology and the grey relational approach were implemented for modeling and multi-response optimization, respectively. Comparative economic statistics were carried out for both inserts, and the adequacy of the correlation model was verified. The experimental and predicted values for all responses were very close to each other, implying the significance of the model and indicating that the correlation coefficients were close to unity. The optimal parametric combinations for A1203 coated carbide were dl-fl-v2 （depth of cut = 0.1 mm, feed = 0.04 mm/r and cutting speed = 108 m/min）, and those for the uncoated tool were dl-（0.1 mm）-fl （0.04 mm/r）-vl （63 rn/min）. The observed tool life for the coated carbide insert was 15 times higher than that for the uncoated carbide insert, considering flank wear criteria of 0.3 mm. The chip volume after machining for the coated carbide insert was 26.14 times higher than that of the uncoated carbide insert and could be better utilized for higher material removal rate. Abrasion, diffusion, notch- ing, chipping, and built-up edge have been observed to be the principal wear mechanisms for tool life estimation. Use of the coated carbide tool reduced machining costs by about 3.55 times compared to the use of the uncoated carbide insert, and provided economic benefits in hard turning.