Is Greenfield Investment Greener for the Welfare of Lower-Middle Income Countries? Market based Empirical Analysis with GMM Approach

Globalization is considered as the catalyst for the progress of economic activities and economic development of lower-middle-income countries. Greenfield investment not only promotes welfare but also helps in the health and education sector of these countries. This study examined thirty-four (34) sampled countries of the lower-middle-income group from different regions for a time span of 1998-2017. Im, Pesaran and Shin (2003) test is applied for testing panel unit root and one step system GMM technique is applied for the complete data analysis. The results of the study concluded that greenfield investment has increased economic growth and helped to push the welfare activities of sampled countries. Besides the increase in economic growth and welfare, greenfield investment also brings improvement in the health and education sectors through the transfer of new and advanced technologies from the developed nation firms to the host countries. Therefore, lower-middle-income countries must approve soft and friendly economic and business policies for the attraction of foreign investors from abroad. Such policies will help in promoting and increasing economic activities and economic development of the sampled countries.

The Role of Artificial Intelligence in The Decision-Making Process at The Ministry of Interior in The United Arab Emirates

This research paper is part of an extensive study conducted by the researcher on the UAE strategy for artificial intelligence, and its role in changing the mechanism of government services, leading to a complete data analysis by 2031, according to the latest techniques and tools of artificial intelligence and their application in various fields of work efficiently. The problems of smart devices lie in the bubble filter phenomenon, which causes a lack of elasticity, increased systemic fragility, which can have serious and unexpected systemic effects. The paper objectives were; to discuss the decision-making process and the employment of artificial intelligence in the United Arab Emirates. Through the Descriptive Analytical method, the topic was presented in two sections. The discussions showed that the UAE's strategy for artificial intelligence targets several vital sectors in the country, including the transportation sector, by reducing accidents and operational costs. The health sector by reducing the proportion of chronic and dangerous diseases. The space sector conducts accurate experiments and reduces costly errors. Energy sector through utility management and smart consumption. The water sector by conducting accurate analysis and studies to save resources. The technology sector by raising the rate of production and helping in public spending, the education sector by reducing costs and increasing the desire to learn. The environment sector by increasing the proportion of afforestation and planting suitable plants. Traffic Sector Develop preventive mechanisms such as predicting accidents and traffic congestion, and setting more effective traffic policies. With the presence of the infrastructure and knowledge in the successful recruitment of artificial intelligence in the Ministry of Interior in the United Arab Emirates.

Operationalizing a routine wastewater monitoring laboratory for SARS-CoV-2

Wastewater-based testing for SARS-CoV-2 is a novel tool for public health monitoring, but additional laboratory capacity is needed to provide routine monitoring at all locations where it has the potential to be useful. Few standardization practices for SARS-CoV-2 wastewater analysis currently exist, and quality assurance/quality control procedures may vary across laboratories. Alongside counterparts at many academic institutions, we built out a laboratory for routine monitoring of wastewater at the University of California, Berkeley. Here, we detail our group's establishment of a wastewater testing laboratory including standard operating procedures, laboratory buildout and workflow, and a quality assurance plan. We present a complete data analysis pipeline and quality scoring framework and discuss the data reporting process. We hope that this information will aid others at research institutions, public health departments, and wastewater agencies in developing programs to support wastewater monitoring for public health decision-making.

STENCIL: A web templating engine for visualizing and sharing life science datasets

The ability to aggregate experimental data analysis and results into a concise and interpretable format is a key step in evaluating the success of an experiment. This critical step determines baselines for reproducibility and is a key requirement for data dissemination. However, in practice it can be difficult to consolidate data analyses that encapsulates the broad range of datatypes available in the life sciences. We present STENCIL, a web templating engine designed to organize, visualize, and enable the sharing of interactive data visualizations. STENCIL leverages a flexible web framework for creating templates to render highly customizable visual front ends. This flexibility enables researchers to render small or large sets of experimental outcomes, producing high-quality downloadable and editable figures that retain their original relationship to the source data. REST API based back ends provide programmatic data access and supports easy data sharing. STENCIL is a lightweight tool that can stream data from Galaxy, a popular bioinformatic analysis web platform. STENCIL has been used to support the analysis and dissemination of two large scale genomic projects containing the complete data analysis for over 2,400 distinct datasets. Code and implementation details are available on GitHub: https://github.com/CEGRcode/stencil .

The Competency and Roles of Coordinators to Enhance for Excellent Management in MICE, Thailand

This research aimed to understand the competency and roles of coordinators through holistic review, investigate significant issues in coordinator development, and provide an implication to strengthen coordinator development. Data were collected based on qualitative research by in-depth interview key informants of various groups, namely, experts in the field and personnel development specialists industry from government agencies and associations in the MICE to complete data analysis using content analysis. The result found that the competency of coordinators in the MICE industry to enhance for excellent service are comprising of 11 aspects. Problems and limitations in industry are lacking people patience in workload, professionalism, experiences. Furthermore, the factor elements to improve the performance of coordinators in personal aspects were knowledge, attitude, and motivation. Group factors were teamwork and relationship in the workplace. Cooperate factors were the organizational culture, values teamwork, and a good relationship within the organization. The implication of this study is to enhancement the public, private and educational sectors’ awareness and implement those issues to manage human capital which is a key factor in creating a competitive advantage for the MICE industry.

Trapped Proton Fluxes Estimation Inside the South Atlantic Anomaly Using the NASA AE9/AP9/SPM Radiation Models along the China Seismo-Electromagnetic Satellite Orbit

The radiation belts in the Earth’s magnetosphere pose a hazard to satellite systems and spacecraft missions (both manned and unmanned), heavily affecting payload design and resources, thus resulting in an impact on the overall mission performance and final costs. The NASA AE9/AP9/SPM radiation models for energetic electrons, protons, and plasma provide useful information on the near-Earth environment, but they are still incomplete as to some features and, for some energy ranges, their predictions are not based on a statistically sufficient sample of direct measurements. Therefore, it is of the upmost importance to provide new data and direct measurements to improve their output. In this work, the AP9 model is applied to the China Seismo-Electromagnetic Satellite (CSES-01) orbit to estimate the flux of energetic protons over the South Atlantic Anomaly during a short testing period of one day, 1 January 2021. Moreover, a preliminary comparison with proton data obtained from the High-Energy Particle Detector (HEPD) on board CSES-01 is carried out. This estimation will serve as the starting ground for a forthcoming complete data analysis, enabling extensive testing and validation of current theoretical and empirical models.

Results of transforaminal endoscopic discectomy for lumbosacral disc herniation added by nucleoplasty

Introduction Herniated disks are very common. Percutaneous endoscopic lumbar spine surgery for the lumbar disc herniation facilitates minimalized access ports to the operating site with decreased risk of infection, reduced blood loss and less tissue dissection and muscle trauma. The goal was to compare the results of standard transforaminal endoscopic discectomy for lumbosacral herniation and outcomes of the procedure added by nucleoplasty. Material and methods Percutaneous transforaminal endoscopic discectomy was performed for 92 patients and added by nucleoplasty in 43 patients of group I. Preoperative and postoperative evaluation was produced with the Visual Analog Pain Scale (VAS), the Oswestry Low Back Pain Disability Questionnaire (ODI) and the MacNab clinical outcome score. Complication and recurrence rate was reviewed. Microsoft Office Excell and Statistica 8.0 were used to complete data analysis reports. Results VAS scores decreased from 7.9 to 3.1 showing 2.5-fold decrease (p < 0.05), and ODI scores decreased from 71.09 to 18.58) (p < 0.001) demonstrating fourfold decrease at one-year follow-up. There were no significant differences in VAS and ODI scores between the groups preoperatively and postoperatively (p > 0.05). The majority of patients of group I (41.86 %) rated their health status as excellent on the MacNab scale, and the majority of patients of group II (53.06 %) rated their health status as good. Postoperative complication rate was 11.63% in group I and 12.24% in group II (p > 0.05). There was no recurrence in group I with the recurrence rate of 6.1% (p < 0.001) in group II. Conclusion Endoscopic discectomy for lumbosacral herniation supplemented with nucleoplasty can reduce the recurrence rate.

Overview of Construction and Application of Big Data Analysis Platform

Big data technology is widely spread around the world, and is constantly developing and applying. In order to enhance the application value of big data analysis platform, it is necessary to constantly improve the data analysis and processing capacity of big data platform, so as to build a complete data analysis platform, realize resource sharing and real-time data collection. As a key point of contemporary information development, big data analysis platform is of great significance to promote social data exchange. Based on this, this paper focuses on two aspects: first, it describes the construction process and content of big data platform; second, it summarizes the relevant application and development of big data platform for reference.

Brain antibody sequence evaluation (BASE): an easy-to-use software for complete data analysis in single cell immunoglobulin cloning

Background Repertoire analysis of patient-derived recombinant monoclonal antibodies is an important tool to study the role of B cells in autoimmune diseases of the human brain and beyond. Current protocols for generation of patient-derived recombinant monoclonal antibody libraries are time-consuming and contain repetitive steps, some of which can be assisted with the help of software automation. Results We developed BASE, an easy-to-use software for complete data analysis in single cell immunoglobulin cloning. BASE consists of two modules: aBASE for immunological annotations and cloning primer lookup, and cBASE for plasmid sequence identity confirmation before expression. Comparing automated BASE analysis with manual analysis we confirmed the validity of BASE output: identity between manual and automated aBASE analysis was 100% for all outputs, except for immunoglobulin isotype determination. In this case, aBASE yielded correct results in 96% of cases, whereas 4% of cases required manual confirmation. cBASE automatically concluded expression recommendations in 89.8% of cases, 91.8% of which were identical to manually derived results and none of them were false-positive. Conclusions BASE offers an easy-to-use software solution suitable for complete Ig sequence data analysis and tracking during recombinant mAb cloning from single cells. Plasmid sequence identity confirmation by cBASE offers functionality not provided by existing software solutions in the field and will help to reduce time-consuming steps of the monoclonal antibody generation workflow. BASE can be installed locally or accessed online at Code Ocean.

Factors Influencing Social Inequality and Quality of Life in Community-Based Tourism Thailand

This research aimed to investigate factors affecting the quality of life (QOL) among people involved in community-based tourism (CBT). Data were collected based on the populations residing in the tourism-community areas in each region of Thailand totaling 200 subjects to complete data analysis using multiple regression analysis. The result found that factors influencing the QOL in CBT are found in various elements of Thailand. Furthermore, the main priority is public administration that is considered the most influencing factor concerning QOL among people in CBT followed by economic factors, technological and external actors, in ranked order. The implication of this study was to motivate the community to obtain QOL because managing public administration requires the government to integrate strategic planning and implement policies to resolve the existing inequality in communities. Additionally, the government’s administrative structure in each area would be improved and made more appropriate in the context of the area in each community. Economic aspects in the community comprise creating work, increasing income for people and accessing several funding sources. In the technology section, public and private sectors are considered possessing the capability to establish technological access for the community. The aspect of external actors must be managed through regulations and laws created by the community generating awareness for community members including regulations and compliance to achieve sustainable QOL in the community.