PCOS and its Preventive Measures

PCOS is an endocrine disorder affecting women of reproductive age, every 1 in 5 women is suffering from PCOS. The main issue related to PCOS is hormonal imbalance which leads to many symptoms like Hair loss, weight gain, insulin resistance, hirsutism, pelvic pain, acne, irregular periods, High testosterone level, infertility, and in extreme cases cancer and heart disease. The exact aetiology of PCOS is not known and it may be multifactorial. Researchers reported that it can be due to ovarian abnormalities, chemical or genetic changes, and environmental factors in most of the cases. In some cases, hyperinsulinemia, obesity, stress, processed food, energy drinks, alcohol, smoking, etc. lead to PCOS. According to body type, symptoms, age, and other factors, treatment vary among different women. Many complications are associated with PCOS like miscarriage, preeclampsia, gestational diabetes, premature delivery, metabolic syndrome, etc. Many different kinds of eating habits can worsen the effect of PCOS like caffeinated drinks, red meat, processed food, fried foods, dairy products, sugary drinks, alcohol, processed meat, soy, baked foods, etc. Consumption of high-fibrous food, foods rich in protein and good fats is recommended. Lifestyle plays a very vital role in PCOS a proper 7-8hr sound sleep, physical activities, aerobic exercise, yoga, meditation, healthy diet are very important factors that can supress or cure PCO

Discrete wavelet transforms analysis of vibration signals for correlating tool wear in diamond turning of additive manufactured Ti-6Al-4V alloy

Ultra-precision machining (UPM) of Ti-6Al-4V alloy is widely regarded as a challenging material processing due to excessive tool wear and chemical reactivity of the tool and workpiece. Tool wear has a significant influence on the surface quality and also causes damage to the substrate. Therefore, it is critical to consider the tool condition during diamond turning, especially as precision machining moves toward intelligent systems. Consequently, there is a need for effective ways for in-process tool wear monitoring in UPM. This study aims to monitor the diamond tool wear using time-frequency-based wavelet analysis on vibrational signals acquired during the machining of Additively Manufactured (AM) Ti6Al4V alloy. The analysis employed Daubechies wavelet (db4, level 8) to establish a correlation between the Standard Deviation (SD) of the magnitude in the decomposed vibrational signal obtained from both the fresh and used tools. The analysis revealed that at a feed rate of 1 mm/min, the change in SD is 32.3% whereas at a feed rate of 5 mm/min, the change in SD is 8.4%. Furthermore, the flank wear and microfractures are observed using a scanning electron microscope on the respective flank and rake face of the diamond tool.The author(s) received no financial support for the research, authorship, and/or publication of this article

Monitoring and Predicting the Surface Generation and Surface Roughness in Ultraprecision Machining: A Critical Review

Copyright: © 2021 by the authors. The aim of manufacturing can be described as achieving the predefined high quality product in a short delivery time and at a competitive cost. However, it is unfortunately quite challenging and often difficult to ensure that certain quality characteristics of the products are met following the contemporary manufacturing paradigm, such as surface roughness, surface texture, and topographical requirements. Ultraprecision machining (UPM) requirements are quite common and essential for products and components with optical finishing, including larger and highly accurate mirrors, infrared optics, laser devices, varifocal lenses, and other freeform optics that can satisfy the technical specifications of precision optical components and devices without further post-polishing. Ultraprecision machining can provide high precision, complex components and devices with a nanometric level of surface finishing. Nevertheless, the process requires an in-depth and comprehensive understanding of the machining system, such as diamond turning with various input parameters, tool features that are able to alter the machining efficiency, the machine working environment and conditions, and even workpiece and tooling materials. The non-linear and complex nature of the UPM process poses a major challenge for the prediction of surface generation and finishing. Recent advances in Industry 4.0 and machine learning are providing an effective means for the optimization of process parameters, particularly through in-process monitoring and prediction while avoiding the conventional trial-and-error approach. This paper attempts to provide a comprehensive and critical review on state-of-the-art in-surfaces monitoring and prediction in UPM processes, as well as a discussion and exploration on the future research in the field through Artificial Intelligence (AI) and digital solutions for harnessing the practical UPM issues in the process, particularly in real-time. In the paper, the implementation and application perspectives are also presented, particularly focusing on future industrial-scale applications with the aid of advanced in-process monitoring and prediction models, algorithms, and digital-enabling technologies

A Rare Case of Coronary Artery Thrombosis in a Patient With Recently Diagnosed Giant Cell Arteritis: Is Anticardiolipin Antibody Involved?

Giant cell arteritis (GCA) is an immune-mediated systemic inflammation of large-sized arteries that predominantly affects elderly women. It may be considered as one of the risk factors for acute coronary syndrome (ACS). Moreover, patients with GCA may have increased anticardiolipin antibodies (aCL). However, its relationship with antiphospholipid syndrome (APS) is not clear. We present a case of a unique presentation of GCA with a connection to both ACS and APS. A 76-year-old woman who initially presented to the hospital with a chief complaint of intermittent unilateral headache, blurry vision along with transient aphasia was found to have a biopsy confirmed GCA and subsequently developed left anterior descending artery (LAD) thrombosis. Her hypercoagulability workup was negative except for significantly elevated aCL

Impact of sitagliptin on endometrial mesenchymal stem-like progenitor cells : a randomised, double-blind placebo-controlled feasibility trial

Background: Recurrent pregnancy loss (RPL) is associated with the loss of endometrial mesenchymal stem-like progenitor cells (eMSC). DPP4 inhibitors may increase homing and engraftment of bone marrow-derived cells to sites of tissue injury. Here, we evaluated the effect of the DPP4 inhibitor sitagliptin on eMSC in women with RPL, determined the impact on endometrial decidualization, and assessed the feasibility of a full-scale clinical trial. Methods: A double-blind, randomised, placebo-controlled feasibility trial on women aged 18 to 42 years with a history of 3 or more miscarriages, regular menstrual cycles, and no contraindications to sitagliptin. Thirty-eight subjects were randomised to either 100 mg sitagliptin daily for 3 consecutive cycles or identical placebo capsules. Computer generated, permuted block randomisation was used to allocate treatment packs. Colony forming unit (CFU) assays were used to quantify eMSC in midluteal endometrial biopsies. The primary outcome measure was CFU counts. Secondary outcome measures were endometrial thickness, study acceptability, and first pregnancy outcome within 12 months following the study. Tissue samples were subjected to explorative investigations. Findings: CFU counts following sitagliptin were higher compared to placebo only when adjusted for baseline CFU counts and age (RR: 1.52, 95% CI: 1.32–1.75, P<0.01). The change in CFU count was 1.68 in the sitagliptin group and 1.08 in the placebo group. Trial recruitment, acceptability, and drug compliance were high. There were no serious adverse events. Explorative investigations showed that sitagliptin inhibits the expression of DIO2, a marker gene of senescent decidual cells. Interpretation: Sitagliptin increases eMSCs and decreases decidual senescence. A large-scale clinical trial evaluating the impact of preconception sitagliptin treatment on pregnancy outcome in RPL is feasible and warranted. Funding: Tommy's Baby Charity. Clinical trial registration: EU Clinical Trials Register no. 2016-001120-54

Neutron scattering study of the effects of dopant disorder on the superconductivity and magnetic order in stage-4 La_2CuO_{4+y}

We report neutron scattering measurements of the structure and magnetism of stage-4 La_2CuO_{4+y} with T_c ~42 K. Our diffraction results on a single crystal sample demonstrate that the excess oxygen dopants form a three-dimensional ordered superlattice within the interstitial regions of the crystal. The oxygen superlattice becomes disordered above T ~ 330 K, and a fast rate of cooling can freeze-in the disordered-oxygen state. Hence, by controlling the cooling rate, the degree of dopant disorder in our La_2CuO_{4+y} crystal can be varied. We find that a higher degree of quenched disorder reduces T_c by ~ 5 K relative to the ordered-oxygen state. At the same time, the quenched disorder enhances the spin density wave order in a manner analogous to the effects of an applied magnetic field.Comment: 4 figures included in text; submitted to PR

Chemical composition and larvicidal activities of the essential oil of Zanthoxylum armatum DC (Rutaceae) against three mosquito vectors

Background & objectives: In view of the recently increased interest in developing plant origininsecticides as an alternative to chemical insecticide, this study was undertaken to assess the larvicidalpotential of the essential oil from the seeds of Zanthoxylum armatum DC [syn. Z. alatum Roxb](Rutaceae) against three medically important species of mosquito vectors, Aedes aegypti, Anophelesstephensi and Culex quinquefasciatus.Methods: Essential oil was hydro distilled in the laboratory from the seeds obtained from the marketand the chemical constituents of the oil were determined using GC/GC-MS. Bioefficacy of theessential oil was evaluated under laboratory conditions using III instar mosquito larvae.Results: Among the three mosquito species tested, Cx. quinquefasciatus was the most sensitive(LC50 = 49 ppm) followed by Ae. aegypti (LC50 = 54 ppm) and An. stephensi (LC50 = 58 ppm). GCMSanalysis of the oil revealed at least 28 compounds, consisting mainly of oxygenated monoterpenes(75%) and monoterpenes (22%). Linalool though constituted a major part (57%), failed to produceany appreciable mortality when tested alone.Interpretation & conclusion: From the results it can be concluded that the larvae of the three mosquitospecies were susceptible to the essential oil composition. Such findings would be useful in promotingresearch aiming at the development of new agent for mosquito control based on bioactive chemicalcompounds from indigenous plant sources as an alternative to chemical larvicides

Synthesis of Steered Flat-top Beam Pattern Using Evolutionary Algorithm

In this paper a pattern synthesis method based on Evolutionary Algorithm is presented. A Flat-top beam pattern has been generated from a concentric ring array of isotropic elements by finding out the optimum set of elements amplitudes and phases using Differential Evolution algorithm. The said pattern is generated in three predefined azimuth planes instate of a single phi plane and also verified for a range of azimuth plane for the same optimum excitations. The main beam is steered to an elevation angle of 30 degree with lower peak SLL and ripple. Dynamic range ratio (DRR) is also being improved by eliminating the weakly excited array elements, which simplify the design complexity of feed networks

Optimum Design of Thin Wideband Multilayer Electromagnetic Shield Using Evolutionary Algorithms

This paper describes the method of optimum design of multilayer perforated electromagnetic shield using Evolutionary algorithms, namely Particle Swarm Optimization Algorithm (PSO) and Genetic Algorithm (GA). Different parameters which are inherently conflicting in nature corresponds to the multilayer structure of the electromagnetic shields have been considered. The goal is to minimize the overall mass of the shield with respect to its shielding effectiveness and cost. Three different models are considered and synthesized using evolutionary algorithms. Numerical optimal results for each model using different algorithms are presented and compared with each other to establish the effectiveness of the proposed method of designing

Synthesis of Steered Flat-top Beam Pattern Using Evolutionary Algorithm

In this paper a pattern synthesis method based on Evolutionary Algorithm is presented. A Flat-top beam pattern has been generated from a concentric ring array of isotropic elements by finding out the optimum set of elements amplitudes and phases using Differential Evolution algorithm. The said pattern is generated in three predefined azimuth planes instate of a single phi plane and also verified for a range of azimuth plane for the same optimum excitations. The main beam is steered to an elevation angle of 30 degree with lower peak SLL and ripple. Dynamic range ratio (DRR) is also being improved by eliminating the weakly excited array elements, which simplify the design complexity of feed networks