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In the research context, a 'responsible party' as contemplated in terms of POPIA is typically the research institution as well as the individual researcher involved. Given the potential civil liability that individual researchers could face, we suggest that the Code of Conduct for Research should place a duty on research institutions to indemnify their researchers from civil liability. While this measure will limit individual researchers' personal ifnancial risk in the extra-institutional legal sphere, it will in no way shield individual researchers from intrainstitutional accountability and disciplinary action. Accordingly, we suggest that this measure strikes a fair balance.

Zero-valent iron nanoparticles (ZVI-NPs) are utilized for the indemnification of a wide range of environmental pollutants. Among the pollutants, heavy metal contamination is the major environmental concern due to their increasing prevalence and durability. In this study, heavy metal remediation capabilities are determined by the green synthesis of ZVI-NPs using aqueous seed extract of Nigella sativa which is a convenient, environmentally friendly, efficient, and cost-effective technique. The seed extract of Nigella sativa was utilized as a capping and reducing agent for the generation of ZVI-NPs. UV-visible spectrophotometry (UV-vis), scanning electron microscopy coupled with energy-dispersive X-ray spectroscopy (SEM-EDX), and Fourier transform infrared spectroscopy (FTIR) was used to investigate the ZVI-NP composition, shape, elemental constitution, and perspective functional groups, respectively. The biosynthesized ZVI-NPs displayed a peak of plasmon resonance spectra at 340 nm. The synthesized NPs were cylindrical in shape, with a size of 2 nm and (-OH) hydroxyl, (C-H) alkanes and alkynes N-C, N=C, C-O, =CH functional groups attached to the surface of ZVI-NPs. Heavy metals were successfully remediated from industrial wastewater collected from the various tanneries of Kasur. During the reaction duration of 24 h, different concentrations of ZVI-NPs (10 μg, 20 μg and 30 μg) per 100 mL were utilized for the removal of heavy metals from industrial wastewater. The 30 μg/100 mL of ZVI-NPs proved the pre-eminent concentration of NPs as it removed >90% of heavy metals. The synthesized ZVI-NPs were analyzed for compatibility with the biological system resulting in 87.7% free radical scavenging, 96.16% inhibition of protein denaturation, 60.29% and 46.13% anti-cancerism against U87-MG and HEK 293 cell lines, respectively. The physiochemical and exposure mathematical models of ZVI-NPs represented them as stable and ecofriendly NPs. It proved that biologically synthesized NPs from a seed tincture of Nigella sativa have a strong potential to indemnify heavy metals found in industrial effluent samples.

Significance: In the research context, a 'responsible party' as contemplated in terms of POPIA is typically the research institution as well as the individual researcher involved. Given the potential civil liability that individual researchers could face, we suggest that the Code of Conduct for Research should place a duty on research institutions to indemnify their researchers from civil liability. While this measure will limit individual researchers' personal financial risk in the extra-institutional legal sphere, it will in no way shield individual researchers from intrainstitutional accountability and disciplinary action. Accordingly, we suggest that this measure strikes a fair balance.

Road traffic accidents (RTAs) are a significant public health and safety concern, resulting in numerous injuries and fatalities. The growing number of cases referred to traffic accident rooms in courts has underscored the necessity for an automated solution to determine victim indemnifications, particularly given the limited number of specialized judges and the complexity of cases involving multiple victims. This paper introduces RTACompensator, an artificial intelligence (AI)-driven decision support system designed to automate indemnification calculations for road accident victims. The system comprises two main components: a calculation module that determines initial compensation based on factors such as age, salary, and medical assessments, and a machine learning (ML) model that assigns liability based on police accident reports. The model uses Arabic bidirectional encoder representations from transformer (AraBERT) embeddings to generate contextual vectors from the report, which are then processed by extreme gradient boosting (XGBoost) to determine responsibility. The model was trained on a purpose-built Arabic corpus derived from real-world legal judgments. To expand the dataset, two data augmentation techniques were employed: multilingual bidirectional encoder representations from transformers (BERT) and Gemini, developed by Google DeepMind. Experimental results demonstrate the model’s effectiveness, achieving accuracy scores of 97% for the BERT-augmented corpus and 97.3% for the Gemini-augmented corpus. These results underscore the system’s potential to improve decision-making in road accident indemnifications. Additionally, the constructed corpus provides a valuable resource for further research in this domain, laying the groundwork for future advancements in automating and refining the indemnification process.

Background State capture by the pharmaceutical industry is a form of corruption whereby pharmaceutical companies shift laws or policies about their products away from the best interest of the public and toward their private benefit. State capture often limits equitable access to pharmaceutical products by inflating drug prices and increasing barriers to entry into the pharmaceutical industry. During the COVID-19 pandemic, the high demand and low supply of COVID-19 vaccines has put governments that manage vaccine procurement at risk of capture by COVID-19 vaccine manufacturers, both through bilateral deals and the COVID-19 Vaccine Global Access (COVAX) Facility; this threatens equity in the global distribution of these products. The purpose of this study is to determine whether COVID-19 vaccine manufacturers have been engaging in state capture and, if so, to examine the implications of state capture on equitable access to COVID-19 vaccines. Methods A targeted rapid literature search was conducted on state capture by the pharmaceutical industry. Results were limited to journal articles, books, and grey literature published between 2000 and 2021 in or translated to English. A literature search was also conducted for information about state capture during the COVID-19 pandemic. Results were limited to media articles published between March 2020 and July 2021 in or translated to English. All articles were qualitatively analyzed using thematic analysis. Results COVID-19 vaccine manufacturers have demanded financial indemnification from national governments who procure their vaccines. While most high-income countries are legislatively capable of indemnifying vaccine manufacturers, many low- and middle-income countries (LMICs) are not. A number of LMICs have thus changed their legislations to permit for manufacturers’ indemnification demands. Amending legislation in this way is state capture and has led to delays in LMICs and vaccine manufacturers signing procurement contracts. This has critically stalled access to vaccines in LMICs and created disparities in access to vaccines between high-income countries and LMICs. Conclusions COVID-19 vaccine manufacturers’ indemnification demands constitute state capture in many LMICs though not in high-income countries; this has enhanced global COVID-19 vaccine inequities. Results underscore the need to find alternatives to financial indemnification that do not hinder critical efforts to end the pandemic.

The risk management tools in agriculture enable farmers to anticipate, avoid and react to shocks and agricultural risks. The Common agricultural policy includes mechanisms to support risk management of the European farmers and respond to crises. An ambition of the recent CAP proposal is to increase the focus on risk management and stabilisation of farmers′ income. Under Pillar 2, the CAP offers the support for less favoured farms, which have experienced the production or income loss in the way of insurance premium, mutual funds, and Income stabilisation tool. However, only few European countries have been using these tools operationally. The risk management tools were subjected to criticism, mainly because of many obstacles in their implementation; therefore, since 2018, the risk management toolbox has been further extended. In the paper, we focus on one of the CAP tools from Pillar 2, the Income Stabilisation tool, and examine the potential effect on farmers′ indemnification in Slovak agriculture.

The article is devoted to studying the compensation for loss of life or damage to health suffered by employees in case of an employer's bankruptcy. The authors reviewed and analyzed the procedure of dissolution and liquidation of a legal entity, and the procedure of capitalizing the payments to meet all of the obligations the bankrupt employerhas before its employees.Particular attention is paid to the problem of determining the order of priority of workers’ claims for damage compensation in case of the employer's bankruptcy.Separate attention is paid to the fact that bankruptcy — that is the debtor's incapability to resume its solvency through the procedures of rehabilitation and the settlement and to satisfy established monetary claims of creditors in accordance with the procedure set by the Law of Ukraine \"On the restoration of the debtor's solvency or recognition of its bankruptcy\" which leads to the use of the liquidation (dissolution) procedure.The articleis analyzed of  legal acts concerning the capitalization of payments and compensation to victims.According to Part 2 of Art. 1205 of the Civil Code of Ukraine, in the event of the liquidation of a legal entity, payments due to the victim or persons entitled to such reimbursement as a result of the death of the breadwinner must be capitalized for payment to their victim or specified persons.At the same time according to the Article 6 of the Law № 1105 the subjects of the insurance against accidents are the insurants and in separate cases (when thevictim is dead) — their family members and other persons, beneficiaries, and theinsurer. Insurant is the person entitled to the benefit of the insurance. Insurats arethe employers and in some cases – the persons specially named as the insured. Theinsurer is the Social Insurance against industrial accidents and occupationaldiseases Fund of Ukraine.Thus the article concludes that the insurant is bound by legislature to conduct capitalization of insurance payments in any case of liquidation (not only through declaring the employer bankrupt but also in other cases provided by law).

When legal challenges to research confidentiality arise, researchers are expected to resist while the institutions that approve their research provide legal support to enable that resistance. Although researchers have done their part, university administrators have been much less consistent doing theirs. Canada's federal policy now affirms university administrations \"must\" provide independent legal representation and \"encourages\" them to develop policies that articulate how they will do so. A national survey of Research Ethics Board (REB) Chairs and administrators found only one such policy, which turned our attention to factors that impeded creation of others like it. Administrative inertia, a lack of clear lines of responsibility, and resource issues top the list of justifications respondents offered. Implications for researchers, REBs, and university administrators are discussed.