The personalized recommendation system influences the recommendation of ideological and political teaching resources in universities, resulting in a high MAE score. As a result, under the school-enterprise collaboration paradigm, this study proposes a customised recommendation approach for ideological and political teaching resources in colleges and universities. The ideological and political teaching resource bank is developed against the backdrop of the teaching paradigm that combines universities and businesses. Learners’ browsing data history is gathered to create a learning interest model for them. A hybrid collaborative filtering recommendation method was devised, and a recommendation engine was established by Taste component, taking into account individualised resource recommendation needs and information entropy weight distribution mode. When compared to previous techniques, the developed customised recommendation method considerably enhances the recommendation quality of instructional resources and reduces MAE by 29% and 34%, respectively.
The primary purpose of this research study is to describe the research on the marketing management risk decision model based on the LINEST function. This research is conducted in China and is used for measuring the risk decision model using different questions related to marketing management. The nature of this research is primary, and data were collected from 100 plus responders related to the marketing management fields. The research participants included males, females, employees of marketing, and other people from marketing management organizations. We used smart PLS software to measure the data and ran different informative statistical analyses. For measuring the marketing, research management used techniques that included a test of equality, PLS algorithm model, LINEST model, least-square model, histogram analysis, and different graphs related to the marketing management performance. The marketing management used different subvariables, including strategic management analysis, marketing mix planning, implementation, and control. The risk decision model is used as a dependent variable based on the LINEST functions. The overall result found that the marketing management risk decision model shows a significant relationship with each other based on LINEST function marketing management, which plays a vital role in organizations.
Healthcare system is an essential system for any nation as it is responsible for maintaining the health of the individuals and public. However, the outbreak of different viral diseases such as influenza, covid-19 etc. has encouraged medical research in different developing and developed countries. Similarly, in Malaysia, different public and private research centers and biotechnology firms are being promoted to develop new and innovative medical drugs and equipment. However, different challenges are faced by the developers in promoting the development and innovations of medical commodities. Thus, this study was conducted to investigate different challenges in the development, funding, and reimbursement of medical innovations in Malaysia. For this purpose, semi-structured interviews were conducted with 7 developers from different public research and development (R&D) centers and biotechnology firms in Malaysia. After the interviews were conducted, their edited transcription was obtained, and thematic analysis was conducted, and different themes and sub-themes were formulated. The results obtained from this study showed that the lack of innovative environment, strategic compliances and effective funding structure negatively influences medical innovations in Malaysia. It has also been observed that poor reimbursement practices and policies and lack of pricing strategies by the Malaysian government impacts the ROI of the associated firms and developers. Thus, it has been recommended that mega-funds and reimbursement policies should be promoted to overcome these challenges in medical innovations.
Foreign direct investment is considered to be an important factor in economic growth of a country and in most of the developing countries such as Pakistan, FDI inflows is seen as vital catalyst for its development. It improves the economic growth of a country by simulating native investment, facilitating technology transfers in recipient country and increasing human capital development. This study is analyzed to check the impact and relationship of selective macroeconomic variables such as terrorism, inflation rate, market size, interest rate, democracy, and trade openness on foreign direct investment in Pakistan for the period of 1980 to 2013 through ARDL approach. The major findings of this study show that inflation rate, interest rates, democratic GOVT regimes and terrorism attacks are affecting the FDI inflows in Pakistan and all has long run association with FDI, whereas in short run inflation, interest rates and terrorism attacks show negative and market size show positive relationship with FDI inflows in Pakistan. Furthermore, trade openness has no impact on FDI in both long run and short run and is insignificant. The findings of this study suggest that increased interest rates and inflation rates in Pakistan will cause lower FDI inflows. The gross domestic product as market size increases it has positive impact on FDI inflows in Pakistan. The terrorisms attacks are major problem for Pakistan's economy. The results show that previous terrorism attacks are affecting FDI inflows negatively in the short time span, but in long run it becomes positive. It means Pakistan economy has capacity to cover its problems and not much suffers from such attacks.
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