Does equity volatility affect the corporate investment level?

The paper studies the relation between valuation and corporate investment level. It provides an insight to the q-model and its implications for investment level. By acknowledge the q-model’s empirical shortcomings it questions whether adjustments for volatility will strengthen the q-model empirically. It argues: as volatility is a proxy for risk, stock market volatility would be related to firm behaviour and investment decisions

Sekretessbevarande dataåtkomstmekanism för hälsodata

Due to the rise of digitalization and the growing amount of data, ensuring the integrity and security of patient data has become increasingly vital within the healthcare industry, which has traditionally managed substantial quantities of sensitive patient and personal information. This bachelor's thesis focused on designing and implementing a secure data sharing infrastructure to protect the integrity and confidentiality of patient data. Synthetic data was used to enable access for researchers and students in regulated environments without compromising patient privacy. The project successfully achieved its goals by evaluating different privacy-preserving mechanisms and developing a machine learning-based application to demonstrate the functionality of the secure data sharing infrastructure. Despite some challenges, the chosen algorithms showed promising results in terms of privacy preservation and statistical similarity. Ultimately, the use of synthetic data can promote fair decision-making processes and contribute to secure data sharing practices in the healthcare industry.Hälso- och sjukvårdsbranschen har länge varit en sektor som hanterar stora mängder känsliga patientdata och personuppgifter. Integriteten och säkerheten hos patientdata har blivit allt viktigare som en följd av ökad datavolym och digitalisering. Detta examensarbete fokuserade på att utforma och implementera en säker datadelning infrastruktur för att skydda integritet och sekretess för patientdata. Syntetisk data användes för att möjliggöra tillgång för forskare och studenter i reglerade miljöer utan att riskera patienters privatliv. Projektet lyckades genom att utvärdera olika integritetsbevarande mekanismer och skapa en maskininlärningsbaserad applikation för att visa den säkra datadelningsinfrastrukturens funktionalitet. Trots vissa utmaningar visade de valda algoritmerna lovande resultat i fråga om integritetsbevarande och statistisk likhet. Slutligen kan användningen av syntetiska data främja rättvisa beslutsprocesser och bidra till säkra datadelningspraxis inom hälso- och sjukvårdsbranschen

Sekretessbevarande dataåtkomstmekanism för hälsodata

Due to the rise of digitalization and the growing amount of data, ensuring the integrity and security of patient data has become increasingly vital within the healthcare industry, which has traditionally managed substantial quantities of sensitive patient and personal information. This bachelor's thesis focused on designing and implementing a secure data sharing infrastructure to protect the integrity and confidentiality of patient data. Synthetic data was used to enable access for researchers and students in regulated environments without compromising patient privacy. The project successfully achieved its goals by evaluating different privacy-preserving mechanisms and developing a machine learning-based application to demonstrate the functionality of the secure data sharing infrastructure. Despite some challenges, the chosen algorithms showed promising results in terms of privacy preservation and statistical similarity. Ultimately, the use of synthetic data can promote fair decision-making processes and contribute to secure data sharing practices in the healthcare industry.Hälso- och sjukvårdsbranschen har länge varit en sektor som hanterar stora mängder känsliga patientdata och personuppgifter. Integriteten och säkerheten hos patientdata har blivit allt viktigare som en följd av ökad datavolym och digitalisering. Detta examensarbete fokuserade på att utforma och implementera en säker datadelning infrastruktur för att skydda integritet och sekretess för patientdata. Syntetisk data användes för att möjliggöra tillgång för forskare och studenter i reglerade miljöer utan att riskera patienters privatliv. Projektet lyckades genom att utvärdera olika integritetsbevarande mekanismer och skapa en maskininlärningsbaserad applikation för att visa den säkra datadelningsinfrastrukturens funktionalitet. Trots vissa utmaningar visade de valda algoritmerna lovande resultat i fråga om integritetsbevarande och statistisk likhet. Slutligen kan användningen av syntetiska data främja rättvisa beslutsprocesser och bidra till säkra datadelningspraxis inom hälso- och sjukvårdsbranschen

The rise of diarrheal illnesses in the children of Pakistan amidst COVID‐19: A narrative review

Abstract Background In Pakistan, 74 children out of 1000 lose their lives annually due to diarrheal illness. This commentary addresses the contributing factors aggravating this growing dilemma and the effect of a simultaneous rise in COVID‐19 cases in a healthcare system ready to collapse, along with providing recommendations to alleviate the problems causing this spike in diarrheal cases. Methods This narrative review has emphasized the causes of the spike in pediatric diarrheal illnesses in Pakistan as well as recommendations offered to lessen the burden by incorporating recent literature (n = 68). Tactics to tackle COVID‐19 alongside diarrheal illnesses were also included. Pakistan was chosen to be assessed due to its high burden of child and infant mortality due to preventable causes. Results The provision of safe drinking water, the proper use of Integrated Management of Newborn and Childhood Illnesses (IMNCI), adequate awareness of the benefits of breastfeeding, the use of correct rehydration techniques such as Oral Rehydration Therapy, and the crucial implementation of the EPI vaccination schedule can curb this increase in diarrheal cases. Conclusion The increased prevalence of diarrheal diseases amongst the pediatric population of Pakistan can be attributed largely due to unsanitary drinking water. Emphasis must be put in the provision of safe drinking water. During the first years of life, children can be kept safe from deadly pathogens just by adequate breastfeeding. IMNCI and EPI must also be properly implemented