Purpose: Considered as the most common hormonal disorder among women, polycystic ovary syndrome or PCOS affects 1 in 10 reproductive aged women (18 - 44 years). Ultrasonography is applied for assessing the ovaries to detect PCOS. The patients affected by PCOS consist of 10-12 cysts present in the ovary, but more than 10 cysts are more enough to diagnose the disorder from the ultrasound images. Then, by examining the ultrasound the presence of follicles will be determined. Therefore, the image processing approaches have assisted to identify the characteristics like follicle size, number of follicles and structure to minimize the workload and time of doctors. PCOS do not have better treatment and effective diagnosis. This paper includes reviewing a summary of some of the researches that have been going in area of medical diagnosis. Based on the review, research gap, research agendas to carry out further research are identified. Approach: A detailed study on the algorithms used in medical image processing and classification. Findings: The study indicated that most of the classification of polycystic ovarian syndrome is done merely on the clinical data sets. The new hybrid methodology proposed will be more precise as both images and lifestyle are analysed. Originality: The type of data required for detection system are studied and the architecture and schematic diagram of a proposed system are included. Paper Type: Literature Review.
Purpose: Google Search is currently the most preferred search engine worldwide, making it one of the websites with the highest traffic. It assists people in discovering the content they are searching for, from the large repository of the World Wide Web. Google has grown to be the best in the search engine market that it is the single most important variable to be considered when optimizing a website for search. There are many ranking algorithms used by Google to make the searching process more precise. Google has the vision “to provide access to the world's information in one click”. Machine learning is the most popular methodology applied in predicting future outcomes or organizing information to assist people in making required decisions.ML algorithms are trained over instances or examples through which they analyze the historical data available and learn from past experiences. By repeatedly training over the samples, the patterns in the data can be identified in order to make predictions about the future. Google, as an organization, can be a pioneer in ML, and as a technology product, can be a use case for machine learning. Here, a case analysis has been prepared on few applications of machine learning in the products and services of Google. Within this paper, we highlight their technological history, services with machine learning applications, financial plans, and challenges. The paper also tries to examine the various products of Google which apply ML, such as Google Maps, Gmail, Google Photos, Google Assistant, and review the algorithms used in each service. Approach: The detailed survey method on secondary data is used for analysing the data. Findings: Based on the developed case study, it is clearly evident that Google is using machine learning algorithms with few artificial intelligence features to enhance the quality of the services they provide. Originality: A new way of analysis was performed to identify the methods used in the organization’s services. Paper Type: Descriptive Case Study Research
The present study aimed to evaluate the inhibition effect of an organic compound, namely, (E)-N'-(2-hydroxybenzylidene)isonicotinohydrazide (BIH), for carbon steel corrosion in a 1.0 M HCl solution, by using weight loss (WL), potentiodynamic polarization (PDP) and electrochemical impedance spectroscopy (EIS). Results show that BIH is a good inhibitor, and the percentage of inhibition efficiency increases on its higher concentrations. The maximum inhibition efficiency of 94% was obtained at 5×10-3 M. Polarization studies revealed that the BIH compound acts as a mixed type inhibitor. EIS showed that increasing the concentration of the inhibitor led to an increase in the charge transfer resistance and a decrease in the double layer capacitance. It was found that the adsorption of this compound obeyed the Langmuir adsorption isotherm. The associated activation energies and thermodynamic parameters of the adsorption process were evaluated and discussed. The temperature effect was studied in the range from 303 to 333 K. In addition, quantum chemical calculations based on the density function theory (DFT) and Monte Carlo simulations were done to support the experimental results.
Purpose The purpose of this paper is to examine the interactive nature/mutual influence (MI) among quality initiatives (QI) and quality awards (QA) in Indian organizations subject to three contingencies, namely, QA won, QI adopted before winning a QA and QI adopted after winning a QA. Design/methodology/approach Administration of survey to collect the data were followed by validity and reliability analyses of the instrument. Hypotheses were tested by parametric/non-parametric one-sample and independent-samples tests. Findings The inferences on the effect of contingencies on the MI were inconclusive. Eight QI adopted before winning the QA, have influenced four such Indian QA. Three Indian QA have influenced four QI that were adopted after winning these QA. However, this MI is independent of specific QI adopted/QA won. Research limitations/implications The approach to test the hypotheses, small sample size and generic research questions have led to “preliminary” recommendations/inferences. Further research with larger data and advanced methods for analysis of interaction is suggested. Practical implications Based on clarity of MI, preliminary recommendations for adopting some QI before/after winning a QA were made. The way in which these recommendations can be used by experienced and fresh adopters of QI/QA and givers of QA has been outlined. Originality/value This study attempts to fill the gap of scarce holistic studies (that evaluate numerous QI and QA models) on the interactive nature of QI and the dissemination of QI into different periods of Continuous Improvement journey.
A potential crystal for nonlinear optical application and monomer namely 1-(2,4-dichlorophenyl-2yl)-3-(4-hydroxyphenyl)prop-2-en-1-one (DHPP) was synthesized and grown by slow evaporation technique. The functional groups present in the compound were identified by FTIR spectrum. The optical cutoff wavelength and structural characteristics were analyzed using UV-Vis-NIR spectra and single crystal x-ray diffractometer. The crystal belongs to non centrosymmetric orthorhombic system with space group Pna21 with cell parameters a= 18.015(3) Å, b= 18.218(3)Å, c= 4.1029(6) Å, Z=4 and V= 1346.56Å 3. Thermal studies show that the crystal is stable up to 250 0 C implying good processability.
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