Impact of ICER Assessments on Payer Decision Making in the United States

Objectives: To evaluate how payers utilize Institute for Clinical and Economic Review (ICER) assessments to inform coverage or formulary decisions. Method(s): Double-blinded, web-based survey was fielded through Xcenda's research panel, the Managed Care Network, from June to July 2022. Result(s): A total of 51 payers from health plans (n=27), integrated delivery networks (n=12), and pharmacy benefit managers (n=12) participated in the survey. When assessing the usefulness of ICER's value assessment framework (VAF) to inform formulary decisions within their organizations, 57% of payers indicated it was extremely/very useful, 33% indicated somewhat useful, and 10% indicated not at all/not very useful. Most respondents (73%) agreed that ICER assessments are aligned with their organization's internal assessment. Utilization of ICER's VAF was most prevalent in high-cost drug or disease states (78%), rare/orphan disease states (71%), and oncology/hematology disease states (67%). Payers reported less use in primary care disease states (29%), COVID-19 (8%), and digital therapeutics (4%). In the last 24 months, 20% of payers reported ICER's recommendations often influenced coverage decisions, 59% indicated occasional influence, and 22% indicated no influence. In the last 24 months, payers indicated the top 5 ICER assessments that influenced their coverage decisions included high cholesterol (38%), Alzheimer's disease (36%), atopic dermatitis (33%), multiple myeloma (31%), and chemotherapy-induced neutropenia (28%). ICER assessments that were less impactful included beta thalassemia (3%), digital health technologies (3%), and supervised injection facilities (3%). Payers reported using ICER assessments to inform both expanded and restricted coverage decisions. Conclusion(s): Payers find ICER's VAF useful to inform their organization's formulary decisions. ICER's assessments often align with payers' internal assessments and are most frequently utilized for high-cost drugs or disease states. Payers indicate ICER assessments have affected both expansion and restriction in their coverage policies.Copyright © 2023

A retrospective study of knowledge management for integrated resorts (IRs) crisis preparedness

PurposeThis study aims to propose a systematic knowledge management model to explore the causal links leading to the organizational crisis preparedness (OCP) level of integrated resorts (IRs) during the COVID-19 pandemic based on the intangible capital of organizational climate, dynamic capability, substantive capability and commitment.Design/methodology/approachThe authors use data obtained from IRs in Macau. The Wuli–Shili–Renli (WSR) approach underpins the study. Structural equation modeling following fuzzy-set qualitative comparative analysis (fsQCA) was used for data processing.FindingsThe results showed that organizational climate has an essential role in IRs preparedness for crises and affects their dynamic capacity, substantive capacity and commitment. The fsQCA results revealed that the relationships between conditions with a higher level of dynamic and substantive capability lead to higher OCP scores.Practical implicationsExecutives should develop systemic thinking regarding organization preparedness in IRs for crisis management. A comprehensive understanding of the IRs' business environment and crises is necessary, as they will require different factor constellations to allow the organization to perform well in a crisis. Financial support for employees could ensure their assistance when dealing with such situations. Rapid response teams should be set up for daily operations and marketing implementation of each level of the IRs management systems.Originality/valueThis study contributes to the extant literature on IRs crisis management in the OCP aspect. The authors constructed a systematic composite picture of organization executives' knowledge management through the three layers of intangible capitals in WSR. Moreover, the authors explored causal links of WSR from symmetric and asymmetric perspectives.

Analysis of avian disease transmission risk and prevention measures in China

Many zoonotic diseases are found in wild animals and present a serious risk to human health, in particularly the virus carried by birds flying freely around the world is hard to control. There are three main bird migration routes which cover the most areas of China. It is important to investigate and fully understand the types of avian transmitted diseases in key areas on the bird migration routines and its impacts on both birds and human health. However, no literature is available in how about the risk of virus carried by migrating birds, and how to predict and reduce this risk of virus spreading to human being so far. In this paper, we first reviewed the main pathogen types carried by birds, including coronaviruses, influenza viruses, parasites, Newcastle disease virus (NDV), etc., and then discussed the spread risk of avian viruses to human being and animals in key areas of biosafety prevention. We also analyzed and discussed the risk of cross-spread of diseases among different bird species in nature reserves located on bird migration routes which provide sufficient food sources for migratory birds and attract numerous birds. Diseases transmitted by wild birds pose a serious threat to poultry farms, where high density of poultry may become avian influenza virus (AIV) reservoirs, cause a risk of avian influenza outbreaks. Airports are mostly built in suburban areas or remote areas with good ecological environment. There are important transit places for bird migration and densely populated areas, which have serious risk of disease transmission. Finally, this paper puts forward the following prevention suggestions from three aspects. First, establish and improve the monitoring and prediction mechanism of migratory birds, and use laser technology to prevent contact between wild birds and poultry. Second, examine and identify virus types carried by birds in their habitats and carry out vaccination. Third, protect the ecological environment of bird habitat, and keep wild birds in their natural habitat, so as to reduce the contact between wild birds and human and poultry, and thus reduce the risk of virus transmission.

Evaluation of antibody levels for COVID-19 patients who attended a laboratory in Buenos Aires city

At the end of 2019 the first cases of SARS-CoV-2-associated pneumonia were reported in China. Consequently, the World Health Organization (WHO) named it COVID-19 and in January 2020, it declared the international health emergency due to the worldwide rapid spread of the infection. The first cases in Argentina were detected in early March 2020. Molecular tests like RT PCR and LAMP were immediately used. Serological tests for antibody detection were approved a few months later;however, these are still not the preferred diagnostic method for the disease. In our laboratory, the latter began to be used during the first wave of COVID-19. With the results obtained in that moment, an observational retrospective study in a cohort of patients who came voluntarily to test for SARS-CoV-2 IgG antibodies and whose results were positive was performed. The notification rate to the Argentine Integrated System for Health Information (SISA for its acronym in Spanish) was calculated and antibody levels were evaluated, clustering them according to the following facts: if the event had been notified to the SISA and if they had a previous RT PCR/LAMP result, the symptoms experienced by these patients and the time elapsed between RT PCR/LAMP and antibody test results. It was not possible to demonstrate differences between patients with detectable and undetectable RT PCR/LAMP, neither with the type of declared symptoms nor with respect to the days elapsed post-infection. However, it was found that there was a significant difference between notified and non-notified patients, and a high rate of non-notified patients with positive antibodies. Therefore, antibodies level might be considered as a surrogate marker of SARS-CoV-2 contact when a diagnosis through molecular methods is not available.

Forecasting gold prices in India using an ARIMA model

Over the years, the gold prices have been increasing rapidly. Covid-19 and its impact leads to rise in the prices of Gold in the year 2020. So many variables are mindful for increasing the gold cost in India and it leads to investment decisions of individuals and enterprises. Autoregressive Integrated Moving Average (ARIMA) is useful method to gauge time series data. In the paper we mainly focus on daily costs of Gold from the year 2018 to 2020 to determine and forecast the daily gold prices in 2021. Also estimate the error (%) between the observed and estimated values through ARIMA model. This study will provide the estimates of suitable ARIMA model (0,1,2) along with Autocorrelation function (ACF) & Partial autocorrelation function (PACF) from the selected data, The auxiliary source information shows the positive patterns for getting effectiveness, For quantitative examination and speculation selections of financial backers. © 2023 Author(s).

Guest Editorial JQE Special Virtual Issue Dedicated to the 23rd European Conference on Integrated Optics

This Special Issue is associated with the European Conference on Integrated Optics (ECIO), held on May 4–6, 2022, in Milan, Italy. This conference was the 23rd in a series that started in London in 1981. After the virtual edition of 2020 and the cancellation of the 2021 edition due to the COVID-19 pandemic emergency, the 2022 ECIO conference was hosted fully in presence by Politecnico di Milano and was attended by about 250 participants. The scientific sessions of the conference were opened by two plenary speakers, Prof. Volker Sorger of George Washington University, USA, and Prof. Paul Prucnal of Princeton University, USA, who presented recent developments on integrated photonics for machine learning, high-performance computing, and neural networks.

Framing blockchain-integrated digital twins for emergent healthcare management at local and city levels: A proof of concept

It has been witnessed that digital technology has the potential to improve the efficiency of emergent healthcare management in COVID-19, which however has not been widely adopted due to unclear definition and configuration. This research aims to propose a proof of concept of digital twins for emergent healthcare management through configuring the cyber and functional interdependencies of healthcare systems at local and city levels. Critical interdependencies of healthcare systems have been firstly identified at both levels, then the information and associated cyber and functional interdependencies embedded in seven critical hospital information systems (HISs) have been identified and mapped. The proposed conceptual digital twin-based approach has been then developed for information coordination amongst these critical HISs at both local and city levels based on permissioned blockchain to (1) integrate and manage the information from seven critical HISs, and further (2) predict the demands of medical resources according to patient trajectory. A case study has been finally conducted at three hospitals in London during the COVID-19 period, and the results showed that the developed framework of blockchain-integrated digital twins is a promising way to provide more accurate and timely procurement information to decision-makers and can effectively support evidence-based decisions on medical resource allocation in the pandemic. © 2023 ICE Publishing: All rights reserved.

Water's Cross-Cutting Nature in Achieving Sustainable Development Goals

Water is fundamental to sustainable development, a natural resource integral to the continued existence of all living species. Unfortunately, it is also the resource which has been most widely misused, mismanaged, and driven the global community to a water crisis, through its unfettered, irresponsible exploitation. The author's attempt through this chapter is to present the cross-cutting role that water plays in fulfilling achievement of all 17 Sustainable Development Goals by 2030. These ambitious goals are ideals for any civilized society in an attempt to eradicate poverty and ensure food security, health, education, gender parity, livelihood generation, peace, and justice. The author underscores the significance of water as the connector to ultimately arrive at the successful completion of all targets set in 2015, over a period of 15 years. As we recover from the global Covid-19 pandemic, the need for sustainable, renewable, and clean water and energy has been highlighted by international bodies. The author presents the case study of Meghalaya State in North-East India as an example of integrated synergies among water, food, livelihood, education, gender equality, and ecosystem restoration to achieve peace, partnership, and prosperity. India Water Foundation in collaboration with Meghalaya Basin Development Authority ideated upon what is now the Integrated Basin Development Livelihood Promotion Programme (IBDLP) that transformed a subsistence-based community into entrepreneurs, empowered with entrepreneurial capacity as they took ownership of their lands for optimum, sustainable utilization. This serves as an example for regional South-South cooperation and implementation in neighboring states through localization and ecosystem-based adaptation. © Springer Nature Switzerland AG 2021.

A Hybrid Model of Deep Learning Features and Clinical Features for Severe Cases Predication of COVID-19

COVID-19 has spread around the world since 2019. Approximately 6.5% of COVID-19 a risk of developing severe disease with high mortality rate. To reduce the mortality rate and provide appropriate treatment, this research established an integrated models with to predict the clinical outcome of COVID-19 patients with clinical, deep learning and radiomics features. To obtain the optimal feature combination for prediction, 9 clinical features combination was selected from all available clinical factors after using LASSO, 18 deep learning features from U-Net architecture, and 9 radiomics features from segmentation result. A total of 213 COVID-19 patients and 335 non-COVID-19 patients from 5 hospitals were enrolled and used as training and test sample in this research. The proposed model obtained an accuracy, precision, recall, specificity, F1-score and ROC curve of 0.971, 0.943, 0.937, 0.974, 0.941 and 0.979, respectively, which exceeds the related work using only clinical, deep learning or radiomics factors. © 2023 SPIE.

From least cost to least risk: Producing climate change mitigation plans that are resilient to multiple risks

Our plans to tackle climate change could be thrown off-track by shocks such as the coronavirus pandemic, the energy supply crisis driven by the Russian invasion of Ukraine, financial crises and other such disruptions. We should therefore identify plans which are as resilient as possible to future risks, by systematically understanding the range of risks to which mitigation plans are vulnerable and how best to reduce such vulnerabilities. Here, we use electricity system decarbonization as a focus area, to highlight the different types of technological solutions, the different risks that may be associated with them, and the approaches, situated in a decision-making under deep uncertainty (DMDU) paradigm, that would allow the identification and enhanced resilience of mitigation pathways. Copyright © 2023 Gambhir and Lempert.

Rural and peri-urban households' handwashing behaviour before the COVID-19 pandemic: Implications for managing it in North-western Ghana

Good hygiene and handwashing remain important in public health, particularly in localities with low or no basic water and sanitation facilities. Using the Integrated Behavioural Model for water and hygiene, this study analysed key factors that shape handwashing behaviour and practices and the implications for managing the COVID-19 pandemic. The study was conducted using 20 rural and peri-urban communities in Ghana. Data gathered from 332 households and 20 focus group discussions indicated respondents have considerable knowledge of the significance of effective handwashing with soap, especially at critical moments. Although the practice of handwashing has been promoted in all the study communities, none of the households had a handwashing station. The respondents however argued that the absence of a handwashing station does not imply they do not wash their hands, especially at critical moments. Access to water, ability to buy soap, gender, and long hours of staying on distant farms shaped handwashing behaviour and practices. Although the study was conducted prior to the COVID-19 pandemic, the findings have substantial implications for the fight against the pandemic. Given that households are knowledgeable of the importance of handwashing, re-iterating the practice and intensifying advocacy on behavioural change, especially in the COVID-19 pandemic will reinvigorate handwashing.Copyright © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

Experiences of Project-Based Simulated Work-Integrated Learning in Renewable Energy Course during COVID-19

Work-integrated learning (WIL) is a key component of current higher education learning and teaching to train globally employable engineering graduates. However, COVID-19 imposed significant challenges to delivering WIL face-to-face at the workplace. One of the solutions to these challenges is the simulated WIL which can be delivered online or in hybrid mode. This paper presents a project-based innovative simulated work integrated learning (WIL), successfully introduced in the renewable energy course at the time of COVID-19, tackling all the issues related to online deliveries and simulated WIL. The project is on the practical design of renewable energy-based community microgrids where students need to collect real-world data for the design and use professional software to finalise their designs in collaboration with the course coordinator and an industry expert. Student surveys and external reviews show that the simulated WIL is well received to replace the traditional WIL. © 2023 IEEE.

Trends in Second Generation Antipsychotic Prescribing for Adolescents from 2013-2021

Objectives: To examine temporal trends of FDA-approved and off-label second-generation antipsychotic (SGA) prescribing for adolescents over time through the Covid-19 pandemic. Method(s): This is a new-user, retrospective longitudinal panel study using electronic health record data from a large, integrated health care system. Outpatient prescription orders for a new SGA (index date) for adolescents (age 10-17 years) during 2013-2021 were analyzed. Prescription orders were linked to diagnoses at time of encounter to examine prescribing behavior. A one-year lookback period was used for baseline inclusion and exclusion criteria, including one-year "washout" of SGAs and continuous insurance enrollment. FDA-approved use was determined by two outpatient diagnoses (one baseline diagnosis and the prescription order diagnosis) for autism, psychotic disorders, bipolar disorders, or Tourette's;the remaining proportion was considered potentially off-label. We report crude annual prescribing rates per 1,000 youths. Result(s): There were 8,145 unique patients with new SGA prescription orders, of which 5,828 (71.6%) had linked diagnoses available. Calendar year 2013 had the highest prescribing rate prior to Covid-19 onset (2.1 per 1,000) but then declined through 2016 (1.7 per 1,000). Prescribing rates in 2020 (2.0 per 1,000) and 2021 (2.2 per 1,000) were higher than those between 2017-2019. Across all study years, SGA prescriptions were mostly off-label and ordered for aripiprazole, quetiapine, or risperidone. The proportion of off-label indications was highest in 2013 (80.1%) and lowest (69.1%) in 2019. Off-label proportions increased again in 2020 (76.1%) and in 2021 (74.1%). At baseline, patients frequently had other psychotropic prescriptions (e.g., antidepressants 63.3%, stimulants 22.9%, and sedatives/hypnotics 20.7%). Conclusion(s): A general decline in SGA prescribing rates among adolescents was observed from 2013 to 2019, but then increased following Covid-19 onset. Despite known safety risks, off-label use of SGAs remains prominent. Future studies are needed to better understand prescribing outside of pediatric professional society guidelines.Copyright © 2023

3D-Printed Face Mask with Integrated Sensors as Protective and Monitoring Tool

The outbreak of the recent Covid-19 pandemic changed many aspects of our daily life, such as the constant wearing of face masks as protection from virus transmission risks. Furthermore, it exposed the healthcare system's fragilities, showing the urgent need to design a more inclusive model that takes into account possible future emergencies, together with population's aging and new severe pathologies. In this framework, face masks can be both a physical barrier against viruses and, at the same time, a telemedical diagnostic tool. In this paper, we propose a low-cost, 3D-printed face mask able to protect the wearer from virus transmission, thanks to internal FFP2 filters, and to monitor the air quality (temperature, humidity, CO2) inside the mask. Acquired data are automatically transmitted to a web terminal, thanks to sensors and electronics embedded in the mask. Our preliminary results encourage more efforts in these regards, towards rapid, inexpensive and smart ways to integrate more sensors into the mask's breathing zone in order to use the patient's breath as a fingerprint for various diseases. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

COVID-19 Vaccine and Booster Shots Compatibility Analyzer using CMOS-based Monochrome Encoding

The continuous increase in COVID-19 positive cases in the Philippines might further weaken the local healthcare system. As such, an efficient system must be implemented to further improve the immunization efforts of the country. In this paper, a contactless digital electronic device is proposed to assess the vaccine and booster brand compatibility. Using Logisim 2.7.1, the logic diagrams were designed and simulated with the help of truth tables and Boolean functions. Moreover, the finalized logic circuit design was converted into its equivalent complementary metal-oxide semiconductor (CMOS) and stick diagrams to help contextualize how the integrated circuits will be designed. Results have shown that the proposed device was able to accept three inputs of the top three COVID-19 vaccine brands (Sinovac, AstraZeneca, and Pfizer) and assess the compatibility of heterologous vaccinations. With the successful results of the circuit, it can be concluded that this low-power device can be used to manufacture a physical prototype for use in booster vaccination sites. © 2022 IEEE.

Online multidisciplinary integrated rural healthcare education programs during the COVID-19 pandemic for students from different universities: Experiences and guidelines

Purpose: The COVID-19 pandemic has led to "forced innovation" in the health education industry. High-quality training of the future rural health workforce is crucial to ensure a pipeline of rural health practitioners to meet the needs of rural communities. This paper describes the implementation of an online multidisciplinary teaching program focusing on integrated care and the needs of rural communities. Design/methodology/approach: A multidisciplinary teaching program was adapted to allow students from various disciplines and universities to learn together during the COVID-19 pandemic. Contemporary issues such as the National Aged Care Advocacy Program for Residential Aged Care COVID-19 Project were explored during the program. Findings: This case study describes how the program was adopted, how learning needs were met, practical examples (e.g. the Hand Hygiene Advocacy within a Rural School Setting Project), the challenges faced and solutions developed to address these challenges. Guidelines are proposed for remote multidisciplinary learning among health professional students, including those in medical, nursing, pharmacy, dentistry, and allied health disciplines. Originality/value: The originality of this program centers around students from multiple universities and disciplines and various year levels learning together in a rural area over an extended period of time. Collaboration among universities assists educators in rural areas to achieve critical mass to teach students. In addition it provides experiences and guidance for the work integrated learning sector, rural health workforce practitioners, rural clinical schools, universities, policy makers, and educators who wish to expand rural online multidisciplinary learning. (PsycInfo Database Record (c) 2023 APA, all rights reserved)

Activity-based integrated modelling for assessing COVID-19 impacts on transport operations and emissions

This study combines an integrated transport, land-use, and energy (iTLE) modeling system with traffic microsimulation model and emission simulator for a holistic analysis of COVID-19 pandemic related changes in traffic flows and emissions. An activity-based travel demand model within iTLE informs pandemic traffic operation scenarios for traffic microsimulation modeling. Link-based simulation outputs inform a finer-grained emission estimation process within a MOtor Vehicle Emission Simulator. Results suggest that the overall network performance improves during lockdown as average delays and queue time decrease by 42.04% and 5.9% respectively compared to pre-COVID condition. Emission results reveal that GHG emissions significantly decrease (64%) in lockdown while it starts increasing gradually in post-pandemic period. Link-based emission analysis indicates that major arterial streets achieve a significant reduction in air pollutant emission. The findings of this study will help transportation planners, engineers, and policymakers to devise effective policies for the improvement of transport operations and emissions.

The impact of mobile shadow IT usage on knowledge protection: an exploratory study: Very Informal Newsletter on Library Automation

PurposeThe mobile shadow information technology (IT) phenomenon is both completely misunderstood and negatively explored by those participating inside the organizational ecosystem. It represents all internet-based software, any other solutions for communications or employees' sharing without any formal authorization or approval from the IT department. Such behavior can lead to a security breach of the organization's data privacy, as these risks could disseminate it without the organization fully knowing. Recent research identifies that shadow IT is rarely covered from the knowledge sharing and knowledge protection (KP) perspective. This paper aims to provide an insight on how mobile shadow IT as a phenomenon could impact KP of an organization as a whole.Design/methodology/approachThis is an exploratory study based on a qualitative approach. The authors conducted interviews with 11 IT users to answer the main research question. The interview guidelines were divided into three parts: types of mobile shadow IT and occurrence;KP nature in the workplace;and mobile shadow IT impact on KP.FindingsThe research findings identified that most interviewees use mobile shadow IT without any notice or permission from their IT departments. This sharing also negatively impacts the KP in the organization. The most common mobile shadow IT applications are the clouded type like Dropbox, Google Drive and WhatsApp. Interviewees are using mobile shadow IT mainly because organizations do not provide suitable tools to communicate efficiently. The authors concluded that mobile shadow IT harms KP with no security and privacy on what is being shared because this process is unmonitored by the organization.Practical implicationsFor adequate knowledge and data protection, IT departments need to take more actions and efforts. This study can help IT decision-makers cope with the technology changes while understanding mobile shadow IT impacts. This study also offers insight regarding types of applications that can be used as an alternative tool for employees rather than using unauthorized applications. This research shows that medium-sized organizations are free to use these applications, which can cause damage to organizations.Originality/valueThis research is arguably among the first to explore the interviewees' perspectives on how mobile shadow IT impacts KP. This paper also provides theoretical and practical insights by identifying the three primary constructs and how mobile shadow IT usage can affect KP.

Handbook of Research on Language Teacher Identity. Advances in Higher Education and Professional Development (AHEPD) Book Series

In today's educational world, it is crucial for language teachers to continuously evolve in order to best serve language learners. Further study on the best practices and challenges in the language classroom is crucial to ensure instructors continue to grow as educators. The "Handbook of Research on Language Teacher Identity" addresses new developments in the field of language education affected by evolving learning environments and the shift from traditional teaching and assessment practices to the digital-age teaching, learning, and assessment. Ideal for industry professionals, administrators, researchers, academicians, scholars, practitioners, instructors, and students, this book aims to raise awareness regarding reflective practice and continuous professional development of educators, collaborative teaching and learning, innovative ways to foster critical (digital) literacy, student-centered instruction and assessment, development of authentic teaching materials and engaging classroom activities, teaching and assessment tools and strategies, cultivation of digital citizenship, and inclusive learning environments.

2022 the 4th International Conference on Modeling, Simulation, Optimization and Algorithm[ICMSOA 2022], 12 November, 2022

ABOUT ICMSOA2022Organized by Yaseen Academy, 2022 The 2nd International Conference on Modeling, Simulation, Optimization and Algorithm (ICMSOA 2022), which was planned to be held during 11-13 November, 2022 at Sanya, Hainan Province, China. Due to the travel restrictions caused by covid, the participants joined the conference online via Tencent Meeting at 12 November, 2022. The Conference looks for significant contributions to related fields of Modeling, Simulation, Optimization and Algorithm. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.CALL FOR PAPERSPlease make sure your submission is in related areas of the following general topics. The topics include, but are not limited to:Simulation modeling theory and technology, Computational modeling and simulation, System modeling and simulation, Device/VLSI modeling and simulation, Control theory and applications, Military Technology Simulation, Aerospace technology simulation, Information engineering simulation, Energy Engineering Simulation, Manufacturing Simulation, Intelligent engineering simulation, Building engineering simulation, Electromagnetic field simulation, Material engineering simulation, Visual simulation, Fluid mechanics engineering simulation, Manufacturing simulation technology, Simulation architecture, Simulation software platform and Intelligent Optimization Algorithm, Dynamic Programming, Ant Colony Optimization, Genetic Algorithm, Simulated Annealing Algorithm, Tabu Search Algorithm, Ant Colony System Algorithm, Hybrid Optimization Algorithm in other related areas.The conference was begun at 10:00am, ended at 17:30am, 12 November, 2022. There were 77 participants in total, 2 keynote speakers and 17 invited oral speakers, Assoc. Prof. Jinyang Xu from Shanghai Jiaotong Univeristy in China and Dr. Victor Koledov from Innowledgement GmbH in Germany delivered their keynote speeches, each speech cost about 50 minutes, including the questions&discussion time.On behalf of the conference organizing committee, we'd like to acknowledge the unstinting support from our colleagues at Yaseen Academy, all Technical Program Members, speakers, reviewers, and all the participants for their sincere support.Conference Organizing CommitteeICMSOA 2022List of Conference General Chair, Program Chair, Conference Committee Chair Members, International Technical Committee Members, International Reviewers are available in this Pdf.