Not Tripping over TRIPS: An Analysis of Necessity and Legality of the COVID-19 TRIPS Waiver Proposal

The availability of vaccinations against COVID-19 provides hope for containing the epidemic, which has already claimed over 2.84 million lives. However, inoculating millions of individuals worldwide would need large vaccine manufacturing followed by fair distribution. A barrier to vaccine development and dissemination is the developers' intellectual property rights. India and South Africa have jointly sought to the World Trade Organization that certain TRIPS rules of COVID-19 vaccines, medicines, and treatments be waived. This piece argues for such a waiver, highlighting the unique circumstances that exist. It believes that TRIPS's flexibilities are inadequate to cope with the present epidemic, particularly for nations without pharmaceutical manufacturing competence.

Recognition and Redistribution in Aristotle’s Account of Stasis

In Politics 5.1–3, Aristotle sees different conceptions of proportional equality and justice as the fundamental causes of stasis and metabolē (constitutional change). His account shows what happens to notions of ‘particular’ justice when they become causes of individual and collective action in pursuit of moral and political revolution. The whole discussion of the causes of stasis should be read through the filter of individual/group motivation – as a reflection of what goes on in the heads of those who engage in stasis. Movements towards political change are motivated by ingrained conceptions of proportional equality and fair distribution of honour and wealth. Aristotle’s approach, therefore, may be compared to Axel Honneth’s, that social justice should be seen in terms of the distribution of dignity and respect as well as of material resources.

Efficient Task Scheduling and Fair Load Distribution Among Federated Clouds

The federated cloud is the future generation of cloud computing, allowing sharing of computing and storage resources, and servicing of user tasks among cloud providers through a centralized control mechanism. However, a great challenge lies in the efficient management of such federated clouds and fair distribution of the load among heterogeneous cloud providers. In our proposed approach, called QPFS_MASG, at the federated cloud level, the incoming tasks queue are partitioned in order to achieve a fair distribution of the load among all cloud providers of the federated cloud. Then, at the cloud level, task scheduling using the Modified Activity Selection by Greedy (MASG) technique assigns the tasks to different virtual machines (VMs), considering the task deadline as the key factor in achieving good quality of service (QoS). The proposed approach takes care of servicing tasks within their deadline, reducing service level agreement (SLA) violations, improving the response time of user tasks as well as achieving fair distribution of the load among all participating cloud providers. The QPFS_MASG was implemented using CloudSim and the evaluation result revealed a guaranteed degree of fairness in service distribution among the cloud providers with reduced response time and SLA violations compared to existing approaches. Also, the evaluation results showed that the proposed approach serviced the user tasks with minimum number of VMs.

Kelompok 5 : Teori Konsumsi

In human life, materialism dominates. Human wants are unlimited, so there are various efforts to satisfy human desires. In fact, humans have weaknesses and shortcomings, so not all desires must be fulfilled. Islam as rahmatan lil alamin guarantees that resources can be distributed fairly. One of the efforts to ensure fair distribution of resources is to regulate how consumption patterns are in accordance with Islamic sharia which has been determined by the Al-Quran and As-Sunnah. Human desire to fulfill their needs has given birth to the concept of consumption theory.

Employing AI to Better Understand Our Morals

We present a summary of research that we have conducted employing AI to better understand human morality. This summary adumbrates theoretical fundamentals and considers how to regulate development of powerful new AI technologies. The latter research aim is benevolent AI, with fair distribution of benefits associated with the development of these and related technologies, avoiding disparities of power and wealth due to unregulated competition. Our approach avoids statistical models employed in other approaches to solve moral dilemmas, because these are “blind” to natural constraints on moral agents, and risk perpetuating mistakes. Instead, our approach employs, for instance, psychologically realistic counterfactual reasoning in group dynamics. The present paper reviews studies involving factors fundamental to human moral motivation, including egoism vs. altruism, commitment vs. defaulting, guilt vs. non-guilt, apology plus forgiveness, counterfactual collaboration, among other factors fundamental in the motivation of moral action. These being basic elements in most moral systems, our studies deliver generalizable conclusions that inform efforts to achieve greater sustainability and global benefit, regardless of cultural specificities in constituents.

Ethical dilemmas in nursing documentation

Background: Nursing documentation is an essential aspect of ethical nursing care. Lack of awareness of ethical dilemmas in nursing documentation may increase the risk of patient harm. Considering this, ethical dilemmas within nursing documentation need to be explored. Aim: To explore ethical dilemmas in nurses’ conversations about nursing documentation. Research design, participants and context: The study used a qualitative design. Participants were registered nurses from a Patient Hotel at a Danish University Hospital. Data were collected in three focus groups with a total of 12 participants. Data analysis consisted of qualitative content analysis inspired by Graneheim and Lundman. Ethical consideration: This study was conducted in accordance with the ethical principles of research and regulations in terms of confidentiality, anonymity and provision of informed consent. Findings: Ethical dilemmas were strongly present in nurses’ conversations about nursing documentation. These dilemmas were demonstrated in two themes: (1) a dilemma between respecting patients’ autonomy and not causing harm, which was visible in nurses’ navigation between written documentation and oral tradition, and (2) a dilemma concerning justice and fair distribution of goods, which was visible in nurses’ balancing between documenting deviations and proof of nursing practice. Discussion: Ethical dilemmas in nursing documentation regarding respecting patients’ autonomy and not causing harm accentuated discussions on professional responsibility and patient participation in clinical decisions. Dilemmas in justice and fair distribution of goods emphasised discussions on trust in relationships versus trust in electronic health records. Conclusion: Actual tendencies in the healthcare system may increase ethical dilemmas in nursing documentation. Sharing otherwise invisible and individual experiences of ethical dilemmas in nursing documentation among nurses, nurse leaders and decision-makers will enable addressing these in reflections and discussions as well as in considering adjustments of conditions for nursing documentation.

The Effect of the COVID-19 Vaccine on Daily Cases and Deaths Based on Global Vaccine Data

Background: Coronavirus disease 2019 (COVID-19), a global pandemic, has caused over 216 million cases and 4.50 million deaths as of 30 August 2021. Vaccines can be regarded as one of the most powerful weapons to eliminate the pandemic, but the impact of vaccines on daily COVID-19 cases and deaths by country is unclear. This study aimed to investigate the correlation between vaccines and daily newly confirmed cases and deaths of COVID-19 in each country worldwide. Methods: Daily data on firstly vaccinated people, fully vaccinated people, new cases and new deaths of COVID-19 were collected from 187 countries. First, we used a generalized additive model (GAM) to analyze the association between daily vaccinated people and daily new cases and deaths of COVID-19. Second, a random effects meta-analysis was conducted to calculate the global pooled results. Results: In total, 187 countries and regions were included in the study. During the study period, 1,011,918,763 doses of vaccine were administered, 540,623,907 people received at least one dose of vaccine, and 230,501,824 people received two doses. For the relationship between vaccination and daily increasing cases of COVID-19, the results showed that daily increasing cases of COVID-19 would be reduced by 24.43% [95% CI: 18.89, 29.59] and 7.50% [95% CI: 6.18, 8.80] with 10,000 fully vaccinated people per day and at least one dose of vaccine, respectively. Daily increasing deaths of COVID-19 would be reduced by 13.32% [95% CI: 3.81, 21.89] and 2.02% [95% CI: 0.18, 4.16] with 10,000 fully vaccinated people per day and at least one dose of vaccine, respectively. Conclusions: These findings showed that vaccination can effectively reduce the new cases and deaths of COVID-19, but vaccines are not distributed fairly worldwide. There is an urgent need to accelerate the speed of vaccination and promote its fair distribution across countries.

Kewarisan Beda Agama di Nagari Persiapan Bancah Kariang Kecamatan Kinali Kabupaten Pasaman Barat

This study aims to find out the basis and reasons for heirs of different religions to get inheritance from heirs who died and how the distribution of inheritance is carried out by the community in Nagari Bancah Kariang, Kinali District, West Pasaman Regency. This research is an empirical research using a socio-legal approach. The data used is qualitative data which is analyzed descriptively qualitatively. The findings from this study are the basis and method of dividing inheritance of different religions in Nagari Preparation Bancah Kariang, Kinali District, West Pasaman Regency is based on the habits that have been carried out by the family so that it has been passed down from generation to generation until now and the distribution of inheritance is carried out equally, regardless of religion. in a family member after the death of an heir. This is done with the aim of maintaining harmony among his family and is considered a fair distribution of inheritance with a family system. Families that have family members of different religions also get an equal share and do not differentiate the income from inheritance to their children to strengthen the relationship between children and their parents. The practice carried out by the Nagari Bancah Kariang community clashes with the Prophet's hadith which clearly states that different religions are a barrier to inheriting under any pretext because ikhtilaf al-diin is one of the mawani '(barriers) in Islamic inheritance law.

Algorithms and the Individual in Criminal Law

Law-enforcement agencies are increasingly able to leverage crime statistics to make risk predictions for particular individuals, employing a form of inference that some condemn as violating the right to be “treated as an individual.” I suggest that the right encodes agents’ entitlement to a fair distribution of the burdens and benefits of the rule of law. Rather than precluding statistical prediction, it requires that citizens be able to anticipate which variables will be used as predictors and act intentionally to avoid them. Furthermore, it condemns reliance on various indexes of distributive injustice, or unchosen properties, as evidence of law-breaking.