International Journal for Global Academic & Scientific Research
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ADMET Investigations On A Synthetic Derivative Of Genistein, And Molecular Docking Experiments Targeting Estrogen Receptor-α (ER-α) In The Pancreas
Full text linkThe main goal of the current research was to perform ADMET and molecular docking studies for a synthetic genistein derivative that can imitate Estrogen and function as an endocrine disruptor, activating the ER receptor on beta-cells in the pancreas to release insulin. The created molecule was molecularly docked using the online molecular docking research tool Dockthor. NGL viewer, an online program for viewing Dockthor data, displayed the docking experiment results. The 2D legend-protein interactions were estimated with BIOVIA Discovery Studio Visualizer. Estrogen-Receptor Alpha was the targeted target, while Compound-A was employed as the legend. In this study, we created a synthetic derivative of genistein, an analogue of Estrogen in terms of ER-α receptor binding. We used molecular docking to evaluate the affinity of compound-A binding to the ER-α and its 2D interactions and Ramachandran plots. We then ran ADMET experiments on the molecule, which revealed a substantial relationship with the molecule\u27s Estrogen Receptor binding capabilities, as well as scores for absorption, distribution, metabolism, excretion, and toxicity
Can Analytics Improve Manufacturing in Heavy Machinery Industry? Studies from Mexico
Full text linkThe info era is unquestionably on us today. machine learning is not a perspective for almost all amounts on the business. This is of specific curiosity on the generation hobby, bigger seriousness, precious restrictions as well as provided the great nowadays captured. Within the previous studies on machine learning within improving a more effective comprehension of the abilities of strategic ramifications to obtain value offered by machine learning. The main objective on these papers within this regard is commonly to develop a novel page layout which summarizes the primary abilities of machine learning within the context on the production operation. This\u27s dependent along the outcome of an evaluation of ongoing exploration, together with a many situation research inside a noticeable phosphate derivatives business, to look at the skills of machine learning within the production procedure, aside from that to outlines guidelines to progress exploration of all of the marketplace. The last effect is going to help suppliers recognize their main info analytics abilities as well as assistance them desiring to make significantly better machine learning enabler infrastructure
The Impact of AI on Recruitment and Selection Processes: Analysing the role of AI in automating and enhancing recruitment and selection procedures
Full text linkHuman resource management is the process of identifying, recruiting, hiring, and training talented individuals, as well as providing them with career advancement possibilities and critical feedback on their performance. The purpose of this study was to investigate the function of AI in HRM practises using qualitative bibliometric analysis. Scopus, emerald, and the Jstore library are used as data sources. This analysis contains adjustments to data spanning 18 years.
It also showed that there is a constant improvement and introduction of new technological conveniences. In accordance with the present market climate, which promotes and celebrates process management and people management practises targeted at making the organisation economically viable and different from the competition, this is a positive development. This work advances the theoretical understanding of AI\u27s growth in the HR sector in light of this reality. Articles and proceedings examined in this research reveal that different authors and academic institutions provide different perspectives on the problem
Automated Passive Income from Stock Market Using Machine Learning and Big Data Analytics with Security Aspects-Retracted
Full text linkThis article is retracted:
Dear IJGASR Readers,
We regret to inform you that the article titled “Automated Passive Income from Stock Market Using Machine Learning and Big Data Analytics with Security Aspects,” published in Volume 2, Issue 4, 2023, with DOI https://doi.org/10.55938/ijgasr.v2i4.63 has been retracted.
The retraction is based on the request of the author, Dr. Gaurav Sharma, as it he along with his team is willing to expand his research further & want to publish with more research findings.
After thorough examination and review of the article, Editorial team has decided to consider request for the retraction/withdrawal of article
We apologize for any inconvenience or confusion this may have caused and reaffirm our commitment to upholding the integrity of our publication. We thank the author for bringing this matter to our attention and for taking the appropriate steps to retract the article.
Sincerely,
Editorial Team, IJGASR
Announcement: https://journals.icapsr.com/index.php/ijgasr/announcement/view/2
Role of Analytics in Supply Chain Management Industry in Lithuania: Big Data Analytics & AI
Full text linkSupply chain managers face a variety of obstacles when preparing for the future, as change is bound to happen. The increase in the importance of "big data" and also the use of "analytics" to analyze this data are two significant changes in the past few years. The analysis of big data is extremely important because it has the potential to yield significant value, and it is essential for companies to make use of the wide range of information sources by carrying out a comprehensive and accurate examination.
Goal: The purpose of this article is to showcase the constantly changing nature of supply chain management practices, predict the future impact of big data and analytics in SCM, emphasize the potential benefits of these trends, and offer guidance to leaders in the field of SCM.
Approach/technique/procedure: It is emphasized how crucial it is to derive value from the vast quantity of data accessible in the field of supply chain management. Definition of "big data" and analytics, with explanation of how they affect SCM applications.
Outcomes: Instances demonstrate how the supply chain management domain can be influenced by these recent trends and advancements. These examples have effectively adopted, utilized, and put into practice analytics that rely on large volumes of data. The existence of big data is undeniable, and utilizing analytics to derive valuable insights from this information has the power to create a significant influence.
In summary, it can be stated that... It is important for supply chain managers to closely monitor these 2 trends because effectively incorporating "big data" analytics are able to keep them updated on advancements and alterations, ultimately enhancing their competitiveness
Consumer Buying Behavior and ML: How Machine Learning and Analytics can Utilize Consumer Behavior Data for Better Customer Service?-Retracted
Full text linkThis article is retracted:Dear IJGASR Readers,
It is with regret that we announce the retraction of the article titled "Consumer Buying Behavior and ML: How Machine Learning and Analytics can Utilize Consumer Behavior Data for Better Customer Service," which was published in Volume 2, Issue 4, 2023.This decision follows discussions with the authors, copy editor, and the internal editorial board regarding improper use of other work and unjustified reasons. The editorial board has unanimously decided to retract the article in accordance with our Article Correction, Retraction & Misconduct Policy.
We sincerely apologize for any inconvenience or confusion this may have caused and want to reiterate our commitment to maintaining the integrity of our publication. We appreciate the author\u27s cooperation in bringing this matter to our attention and taking the necessary steps to retract the article.
Sincerely,Editorial Team, IJGASR
Announcement: https://journals.icapsr.com/index.php/ijgasr/announcement/view/2
Optical Upconversion Properties Of Tm2O3 / Yb2O3 Doped Lead Tellurite Glasses
Full text linkThe melt-quench process was used to create the lead-tellurite glasses codoped with lanthanides as thulium and ytterbium. Thermal characterization carried by differential scanning calorimetry. X-ray diffraction is studies to get the nature of sold sample. The UV-Visible-IR absorption spectra was carried in range of 300 nm to 1100 nm. There were four unique absorption peaks on the glass thulium –ytterbium doped glass. The frequency up-conversion (UC) fluorescence has been seen at room temperature by 975 nm excitation
A Review of Sustainable Growth challenges faced by Small and Medium Enterprises
Full text linkThe idea that businesses with a focus on increasing shareholder value were successful is a thing of the past. The last few years have seen a big shift in the trend; now, firms are required to consider social and environmental factors when making choices in order to provide value for all stakeholders in addition to shareholders. The results of earlier studies have confirmed the crucial role that organisations play in shifting the emphasis from rapid development to sustainable development. Small and medium enterprises (SMEs) have been recognized for their socio-economic contribution. Thus, the concept of sustainable growth is extremely relevant to SMEs. In this paper the researcher conducted review of extant literature to trace the conceptual development of sustainable development and growth. The researcher provides a conceptual overview of the challenges of sustainable growth of the SMEs. The study is significant as it extends the knowledge and paves the way for further research
What Makes Small and Medium Enterprises Successful: A Study
Full text linkObjective: Critical success factors designs for SMEs offer info to SMEs which were used to create strategies and policies for best business practices which will mitigate failures. The goal was reviewing SME content articles as well as books to determine CSFs influencing the success.Design:The content reviewed the literature on SMEs and also identified critical success factors which influence the achievements of SMEs throughout industries and locations.Findings:Twenty-five critical success factors of SMEs had been revealed, and several more are believed to be a part of them.Policy Implications:The newspaper is going to enable entrepreneurship researchers to recognize the CSFs for program as variables in upcoming CSFs models as well as SME operators for optimum business practices to lessen failure as well as grow/develop economies.Originality:The content is an extensive literature review of Books and sme articles identifying the CSFs influencing the success
A Study Of Bed Occupancy Management In The Healthcare System Using The M/M/C Queue And Probability
Full text linkMany diverse healthcare systems, including hospitals, laboratories, pharmaceutical business, radiology, organ transplant etc. have been modelled and studied using queuing models. Due to their analytical nature and capacity for speedy resolution, queueing models are well-liked by researchers and system designers and can offer reasonably accurate assessments of system performance. The problem of allocating the ideal number of beds to different wards, as well as assigning roles to doctors in various hospital wards and outside the hospital, is one that health care management is now dealing with. In this paper, we will use (M/M/C) queue to explore bed occupancy management, patient movement, and ideal bed counts in hospitals. Additionally, we will look for the probability that a patient will be chosen for a bed allocation and the expected occupancy rates for a specific time frame