Risk Management Protocols Research Articles

Investor Sentiment and Corporate Governance: The Role of Behavioral Biases in Stock Price Volatility and Managerial Decisions

Behavioural biases influence investor sentiment and behaviour, which in turn influence stock returns, stock price volatility and corporate governance structures. This paper focuses on the role of three common behavioural biases (overconfidence, herding and loss aversion) on investor behaviour, and how these biases drive inefficiencies in financial markets. Using worldwide market data from 1970 to 2019 and focusing on key events such as the 2008 financial crisis and the dot-com bubble, we investigate how these behavioural biases cause market volatility. This analysis further reinforces the importance of strong corporate governance structures such as independent boards, executive pay structures and risk management protocols that help reduce the impact of investor sentiment. The role of speculative bubbles, market overreaction and volatility clustering is also examined further, and corporate governance mechanisms are proposed to help mitigate the effects of behavioural biases on stock prices. The findings demonstrate the importance of adopting long-term corporate goals, transparency and strategies to help better manage market sentiment and safeguard shareholder value.

THE INFLUENCE OF CHEMICAL AGENTS ON THE TECHNICAL CHARACTERISTICS AND SAFETY OF PROTECTIVE EQUIPMENT AGAINST ELECTRIC SHOCK

The research project’s primary goals were to develop occupational risk management protocols for people who perform maintenance tasks on electrical installations and, in turn, to develop new work tools designed to protect workers in those installations. The research project’s findings are presented in this paper. In order to check the behaviour of the safety characteristics of the protective equipment material under certain influence of professional risk factors, protective equipment materials were subject to tests. The components of in use or new electro-insulating equipment, were evaluated through sampling. Electro-insulating materials underwent dielectric, mechanical, attrition testing, and chemical agent application. The findings revealed the weakness of some electrical insulating materials whose declared duration of use exceeded five years after commissioning, necessitating the assessment of new technical standards for health and safety workplace.

Quality improvement in neonatal care through enhanced patient safety and clinical risk management: a before-and-after study about neonatal sepsis.

Neonatal sepsis, classified into early-onset and late-onset based on symptom timing, poses significant risks of morbidity and mortality, especially in low birth weight infants. Effective clinical risk management protocols are crucial in reducing these risks. This before-and-after study evaluated the impact of a newly implemented clinical risk management protocol in the Neonatology and Neonatal Intensive Care Unit (NICU) at Policlinico Hospital-University of Bari. The study included 399 neonates over three years, comparing pre- and post-protocol outcomes. Data collection focused on maternal and neonatal demographics, infection rates, and hospital stay lengths. Statistical analysis included t-tests, Wilcoxon-Mann-Whitney tests, and logistic regression models. The study found no significant differences in neonatal pathologies or demographics between pre- and post-protocol groups. However, post-protocol implementation showed a notable reduction in umbilical venous catheter (UVC) infections (p = 0.018) and improved hospital stay lengths. Blood and urine cultures did not show significant changes in microbial patterns post-protocol. The findings underscore the effectiveness of structured clinical risk management protocols in enhancing neonatal outcomes, particularly in reducing specific infection risks. Despite the study's limitations, including its observational nature and sample size, the results advocate for broader adoption and further research on these protocols in diverse healthcare settings. The positive outcomes highlight the importance of continuous clinical risk management efforts in high-risk neonatal environments.

Risk Assessment of Banks and Financial Institutions When Interest Rate Hikes

This article delves into the multifaceted risks precipitated by a bank's decision to increase interest rates. It commences with an overarching overview contextualized within The Times, elucidating the significance of the subject matter. Subsequently, it delineates various extant risks, each accompanied by a succinct exposition and an outline of corresponding mitigation strategies. Following this introductory phase, the article conducts a meticulous analysis of these identified risks, methodically dissecting liquidity risk, reputation risk, market risk, and systemic risk. Each risk is meticulously defined, substantiated with historical precedents, and elucidated with comprehensive management methodologies. This paper underscores the myriad risks attendant to a bank's interest rate hike. This synthesis serves to underscore the overarching theme that such policy decisions not only reverberate through the financial ecosystem but also necessitate vigilant risk management protocols to safeguard against potential ramifications. Finally, the article concludes by summarizing the numerous risks posed by a bank's interest rate hike. It emphasizes the need for careful consideration and proactive risk management to mitigate potential consequences.

Enterprise Risk Management Practices in Malaysian Small and Medium-Sized Enterprises: An Overview

SMEs are crucial to the economic growth of many countries, particularly developing ones like Malaysia. SMEs have contributed significantly to economic growth but they also often struggle with problems related to poor management, which increases the risk of failure and closure. Effective risk management is essential in sustaining the long-term sustainability of SMEs and improving managerial performance. This study investigates the enterprise risk management (ERM) practices used by Malaysian SMEs in the manufacturing sector. The factors influencing the risk management behaviors and practices of SME manufacturing workers and their compliance with risk management protocols are examined in this study using a mixed-methods approach. This study focuses on employee behavior to better understand how organizational culture affects risk management techniques in SMEs. To design effective reward and recognition programs, this research also examines the psychological components of risk management while accounting for the organizational, societal, and financial challenges that followed the 2008 financial crisis. The study also examines the impact of organizational structure on the efficacy of risk management initiatives in small and medium-sized enterprises. The practical findings of the study are expected to demonstrate the extent to which ERM influences organizational effectiveness in Malaysia's SME manufacturing sector. This study intends to equip industry participants with the knowledge and confidence necessary to implement ERM successfully in their operations by offering insights into the factors that encourage and impede ERM adoption and its impact on organizational performance. This research advances ERM practices among SMEs and strengthens Malaysian businesses' resilience and risk awareness.

Macroeconomic Factors and Stock Price Volatility at Nairobi Securities Exchange

The stock price volatility has been a problem in stock markets affecting the stock returns of firms listed at Nairobi Securities Exchange (NSE). Although some scholars have focused on the issue of high share price volatility, the issue persists and still hinders the development of the market. This study main objective is to determine the effects of macroeconomic factors on volatility of stock prices of stock market in Kenya. The specific objectives are; to establish the effects of inflation on stock prices of stock market in Kenya; to establish the effects of interest rates on volatility of stock prices of stock market in Kenya; and to establish the effects of exchange rates on stock prices of stock market in Kenya. The research was anchored on four theories and two models namely the Arbitrage pricing theory, Modern portfolio theory, information cascade theory, Fisher’s theory, Efficient market hypothesis and present value model. The research applied a causal research design, which followed the positivism philosophy of research and knowledge creation. The study focused on analyzing the effects of macroeconomic factors on volatility of stock prices of the NSE 20 share index in Nairobi Securities Exchange over a period ranging from 2009 to 2021. The design allowed collection of monthly data on the study variables and time series analysis of the hypothesized relationships between independent and dependent variables and conducted both descriptive statistical analysis and inferential statistical analysis. Descriptive statistical analysis involved generation of central tendency statistics such as mean, minimum and maximum points of the data as well as standard deviations to show the spread of the data from the mean. The inferential statistical analysis utilized in this study was Error Correction Model, guided by the results of cointegration tests. From the descriptive statistical analysis, the study found that between 2009 and 2021, interest rates demonstrated an average of approximately 9.155, inflation averaged around 150.916, foreign exchange rate maintained an average of roughly 94.219, and stock price volatility averaged 0.4%. The Error Correction Model revealed that, interest rates have no significant effect on stock price volatility of NSE 20 share index (β = -0.00034, p.value = 0.805). Similarly, inflation has no significant effect on stock price volatility of NSE 20 share index (β = -0.0000394, p.value = 0.218). However, foreign exchange has negative and significant effect on stock price volatility in Kenya (β = -0.0139, p.value = 0.017). The study concluded that interest rates and inflation have no significant effect on stock price volatility in Kenyan stock market, while foreign exchange has inverse and significant effect on stock price volatility. Thus, the study recommends that market participants, including government, investors, traders, policy makers and financial institutions, should incorporate foreign exchange rate movements into their risk management strategies. Adequate measures and policies such as market circuit breakers and enhanced risk management protocols should be in place to ensure smooth market operations and prevent any disruptions due to changing foreign exchange dynamics

A Conceptual Architecture of Fuzzy Risk-Based Decision Support Systems (R+DSS)

This paper introduces a conceptual architecture for Fuzzy Risk-Based Decision Support Systems (R+DSS). This architecture is designed to provide a comprehensive and efficient approach to decision-making procedures in various domains involving assessing and controlling potential risks. The proposed architecture exhibits versatility in its applicability across multiple fields, such as finance, healthcare, engineering, and environmental management. It incorporates these components flexibly and scalable while also being user-friendly. The framework employs fuzzy logic principles such as membership functions, rule sets, and inference methods to facilitate a thorough evaluation of the risk that accommodates the inherent uncertainties and imprecisions characteristic of real-world risk scenarios. The Fuzzy Inference Engine is a versatile and resilient risk analysis tool capable of accommodating diverse data and systems, enabling effective risk mitigation strategies. The adaptability of this architecture to effectively handle complex, uncertain and dynamic environments makes it a promising tool for decision-makers looking to improve risk assessment and management protocols.

Risk analysis of electrical power grids in India using best-worst method and grey causal modelling

PurposeThe study aims to identify the possible risk factors for electricity grids operational disruptions and to determine the most critical and influential risk indicators.Design/methodology/approachA multi-criteria decision-making best-worst method (BWM) is employed to quantitatively identify the most critical risk factors. The grey causal modeling (GCM) technique is employed to identify the causal and consequence factors and to effectively quantify them. The data used in this study consisted of two types – quantitative periodical data of critical factors taken from their respective government departments (e.g. Indian Meteorological Department, The Central Water Commission etc.) and the expert responses collected from professionals working in the Indian electric power sector.FindingsThe results of analysis for a case application in the Indian context shows that temperature dominates as the critical risk factor for electrical power grids, followed by humidity and crop production.Research limitations/implicationsThe study helps to understand the contribution of factors in electricity grids operational disruptions. Considering the cause consequences from the GCM causal analysis, rainfall, temperature and dam water levels are identified as the causal factors, while the crop production, stock prices, commodity prices are classified as the consequence factors. In practice, these causal factors can be controlled to reduce the overall effects.Practical implicationsFrom the results of the analysis, managers can use these outputs and compare the risk factors in electrical power grids for prioritization and subsequent considerations. It can assist the managers in efficient allocation of funds and manpower for building safeguards and creating risk management protocols based on the severity of the critical factor.Originality/valueThe research comprehensively analyses the risk factors of electrical power grids in India. Moreover, the study apprehends the cause-consequence pair of factors, which are having the maximum effect. Previous studies have been focused on identification of risk factors and preliminary analysis of their criticality using autoregression. This research paper takes it forward by using decision-making methods and causal analysis of the risk factors with blend of quantitative and expert response based data analysis to focus on the determination of the criticality of the risk factors for the Indian electric power grid.

Mitigating Cybersecurity Risks in the Digitization of Banking Operations: Strategies, Challenges, and Best Practices for Zambian Commercial Banks

This study explores cybersecurity risk mitigation strategies within the Zambian banking sector amidst rapid digitization. Utilizing a mixed methods approach, data from a survey involving 123 bank employees/managers from banks operating in Zambia and expert interviews with bank cybersecurity staff. The study offers comprehensive insights into stakeholders’ perceptions, challenges, opportunities, implemented strategies, and recommended best practices for Cybersecurity Risk Mitigation (CSRM). The findings highlight a diverse landscape of digitization efforts among banks, influencing their exposure to cybersecurity vulnerabilities ranging from fundamental lapses to sophisticated threats like advanced persistent threats (APTs) and ransomware. Current cybersecurity strategies, including security audits and regulatory compliance, are prevalent but exhibit varying effectiveness, particularly in areas such as encryption and incident response readiness. Employee training emerges as a pivotal factor despite mixed perceptions regarding its efficacy, underscoring its critical role in mitigating human-induced vulnerabilities and adapting to evolving cyber threats effectively. Best practices identified in the study emphasize rigorous regulatory compliance tailored to the banking sector, secure software development practices, and robust vendor risk management protocols. Recommendations derived from the study advocate enhancing regulatory adherence, investing in advanced encryption technologies, and prioritizing comprehensive, context-specific employee training programs to foster a resilient cybersecurity culture across Zambian banks. These insights contribute valuable perspectives on cybersecurity challenges specific to the Zambian banking sector, advocating adaptive strategies to safeguard digital operations effectively amidst evolving cyber threats. This study not only addresses current gaps in cybersecurity resilience but also provides practical recommendations such as enhanced regulatory compliance, improved encryption and incidence response, prioritization of employee training and implementation of secure software practices aimed at enhancing overall preparedness and resilience against cybersecurity threats in Zambian banking operations undergoing digital transformation.

The Impact of Geopolitical Stability on Foreign Investment and Transnational Corporations: A Case Study of the Russia-Ukraine Conflict

Geopolitical stability plays a pivotal role in shaping the global economic landscape, especially concerning foreign investment and transnational corporations (TNCs). This study delves into the intricate relationship between geopolitical stability and these economic factors, employing a case study of the Russia-Ukraine conflict to exemplify their interplay. The Russia-Ukraine conflict, characterized by territorial disputes and political tensions, has had far-reaching consequences on foreign investment and TNCs operating in the region. This study scrutinizes how the conflict's instability has influenced investment decisions and strategies adopted by TNCs. The research combines quantitative and qualitative methodologies, drawing upon economic data, expert opinions, and corporate case studies. The findings indicate a clear correlation between geopolitical stability and foreign investment. In the context of the Russia-Ukraine conflict, periods of heightened instability have witnessed reduced foreign investment as risk perceptions rise. TNCs, concerned about the security of their assets and profitability, tend to adopt a cautious approach during such times. Conversely, when geopolitical tensions ease, foreign investment tends to rebound. Moreover, this study explores the strategies employed by TNCs to navigate geopolitical instability. Companies often implement risk management protocols, diversify their portfolios, and forge partnerships with local entities to mitigate risks associated with geopolitical instability. This research contributes to the broader understanding of the impact of geopolitical factors on global economics.

Development of a statistical analysis software for determining effectiveness of a comprehensive fall risk management protocol

IntroductionAs the leading cause of fatal injuries in geriatric populations, falls are a serious health concern with a predicted rate of seven fall-related deaths per hour by 2030. The Timed...

Research and assessment of the molybdenum oxide (VI) nanoparticles toxiсity under inhalation in WISTAR line rats in comparison with the micro-sized chemical analog

Introduction. Molybdenum (VI) oxide nanoparticles (MoO3 NPs) are being actively introduced into practical use as part of catalysts, optics, plastics, textiles, coatings, and lubricants, gas sensors, and crude oil refining processes. MoO3 NPs are known to exhibit toxic properties when interacting with living systems. Atmospheric air pollution with potentially dangerous MoO3 NPs can contribute to the inhalation exposure in the population and, as a result, the development of health disorders caused by the toxic effect of the nanomaterial. In this regard, the study of the adverse effects caused by MoO3 NPs entering the body during aerogenic exposure is particularly relevant.
 
 The aim of the study. Investigation and evaluation of subacute toxicity of MoO3 NPs by the inhalation route of entry into the body in comparison with a microsized chemical analogue.
 
 Materials and methods. The physical properties of MoO3 NPs were studied in comparison with microparticles (MPs). In an experiment on Wistar rats, a comparative analysis was performed and a characteristic of the pathogenetic features of the toxic effect of particles during subacute inhalation exposure at a concentration of 1.84 mg/m3 was given.
 
 Results. According to the totality of physical properties, the MoO3 sample under study is a nanomaterial with an average particle size of 58.8 nm, constituting 84.2% of the total number of particles. MoO3 NPs accumulate in the heart, lungs, kidneys, and brain. The concentration of molybdenum is by 2.50–15.85 times higher than the control levels. The highest content of the studied element was found in the lungs. Bioaccumulation of MP MoO3 was noted only in the lungs, while the concentration of molybdenum is by 3.00 times less in comparison with the exposure to NPs. When exposed to MoO3 NPs, more pronounced changes in biochemical (an increase in the activity of alkaline phosphatase, LDH, the concentration of total bilirubin and creatinine by 1.29–2.11 times) and hematological parameters (a decrease in the number of platelets and thrombocrit by 1.2 times) of blood were noted relative to the impact of a microscale analogue. Under the influence of NPs and MPs of MoO3, pathomorphological changes develop in the lungs, brain, and liver tissues. When exposed to NPs, compensatory lung emphysema, focal microvesicular steatosis in hepatocytes, and acute plethora in the liver were found, which were not detected during exposure to NPs.
 
 Limitations. The study was performed only with subacute inhalation exposure to NPs and MPs of MoO3 in Wistar rats.
 
 Conclusion. MoO3 NPs have a higher degree of bioaccumulation and toxicity relative to MPs. The results of the study make it possible to expand theoretical concepts and gain new knowledge in the field of nanotoxicology about the features of the toxic effect of nano-sized MoO3 with multiple inhalation routes of entry into the body at a concentration of 1.84 mg/m3.
 
 Compliance with ethical standards. The study was carried out in accordance with the European Convention for the Protection of Vertebrate Animals used for Experimental or other Scientific Purposes (ETS No. 123) and the requirements of the Ethics Committee of the Federal Scientific Center for Medical and Preventive Technologies for Public Health Risk Management (protocol No. 6 of 20.01 .2021).

Disclosure of suicidal ideation in non-psychiatric clinical research: Experience using a novel suicide risk management algorithm in a multi-center smoking cessation trial

Background Clinical trials involving pharmacologic or behavioral treatments often assess depression and suicidal ideation for purposes of screening, baseline assessment of potential moderators or mediators of treatment, or as a study outcome, even if the primary condition under study is not a mental health disorder. Suicide risk management in the context of clinical research poses significant clinical, ethical, and practical challenges, and the literature provides little guidance with respect to outcomes of suicide risk management protocols (SRMPs) or suicide risk assessment instruments deployed in the clinical research setting. Methods We report our experience using a novel SRMP in the Program for Lung Cancer Screening and Tobacco Cessation (PLUTO) trial through in-person and remote interactions. Results An SRMP was developed for non-clinical research staff to assess and respond to participants who express suicidal ideation. Between September 2016 and April 2021, the SRMP was used 61 times for 59 individuals. The SRMP was activated by explicit probing of suicidal ideation in 46 of 61 uses (75%). Subject risk was categorized as high-risk in 6 of 61 SRMP uses (10%). Conclusion Our findings demonstrate a useful tool for the management of suicidal ideation and behavior in a clinical trial. Suicidal ideation may be endorsed by only a small number of study participants, however participant safety dictates the need to develop and implement a practical SRMP. These findings may be of relevance to researchers collecting patient reported outcomes remotely. Researchers should consider available resources for SRMPs during design and start-up phases of research.

The Pest Risk Reduction Scenario Tool (PRReSTo) for quantifying trade-related plant pest risks and benefits of risk-reducing measures

Plant pest risks posed by trade in agricultural commodities are managed through pest risk analysis which involves assessing risk and selecting phytosanitary measures to manage unrestricted risk if it is unacceptably high. Diverse measures can be used to reduce risk. However, calibrating risk management protocols with the level of unrestricted risk is challenging. Agreed methods and user-friendly tools for comparatively evaluating risk-reducing measures in different pest-host systems are lacking. Here, we describe the Pest Risk Reduction Scenario Tool (PRReSTo), a generic Bayesian network model that estimates likely infestation rates of host items in consignments. PRReSTo considers host items’ vulnerability to pest infestation, the pest abundance to which host items are exposed during production, and the individual and cumulative effects of risk-reducing measures aimed at either minimising host vulnerability, pest exposure or infestation rates. We apply a PRReSTo implementation developed for assessing trappable insect pests in horticultural produce to test its versatility. First, we evaluate likely (unrestricted) host infestation rates under different levels of pest exposure and host vulnerability. Next, we evaluate the adequacy of risk-reducing measures under different host infestation scenarios and acceptability thresholds. We find that equivalent risk reduction may be achieved by highly effective individual measures or combinations of measures in a phytosanitary systems approach. The current implementation of PRReSTo is supported by an open access web application to facilitate adoption as a scenario analysis and decision-support tool by industry and regulators.

Practice-based insights from specialized clinicians into youth suicide risk assessment and psychotherapy: A qualitative study

Objective: The experience of frontline clinicians is an underutilized source of knowledge about improving youth suicide intervention. This qualitative study explored the perspectives of highly experienced, specialized mental health clinicians on the practical application of risk assessment, stabilization, and treatment and their experience of working in this practice area. Method: Data were collected from seven focus groups with 28 clinicians and analyzed using consensual qualitative research methods. Results: Four domains emerged, describing 1) youth suicide intervention as relationally focused and attachment-informed, 2) the need for flexible and tailored care balancing individual and family intervention in the context of family complexity and fractured relationships, 3) a nuanced, therapeutic approach to managing the complexity and uncertainty of adolescent suicide risk, and 4) working in youth suicide intervention as emotionally demanding and facilitated or hampered by the organizational and systems context. Conclusion: The importance of harnessing family systems and attachment-informed approaches to alliance, risk assessment, and treatment was emphasized, along with the parallel need for systemic clinician support and consideration of the potential negative consequences of administrative and risk management protocols.

Suicide risk assessment and suicide risk management protocol for the Texas Youth Depression and Suicide Research Network

IntroductionSuicide prevention research is a national priority, and national guidance includes the development of suicide risk management protocols (SRMPs) for the assessment and management of suicidal ideation and behavior in research trials. Few published studies describe how researchers develop and implement SRMPs or articulate what constitutes an acceptable and effective SRMP. MethodsThe Texas Youth Depression and Suicide Research Network (TX-YDSRN) was developed with the goal of evaluating screening and measurement-based care in Texas youth with depression or suicidality (i.e., suicidal ideation and/or suicidal behavior). The SRMP was developed for TX-YDSRN through a collaborative, iterative process, consistent with a Learning Healthcare System model. ResultsThe final SMRP included training, educational resources for research staff, educational resources for research participants, risk assessment and management strategies, and clinical and research oversight. ConclusionThe TX-YDSRN SRMP is one methodology for addressing youth participant suicide risk. The development and testing of standard methodologies with a focus on participant safety is an important next step to further the field of suicide prevention research.

Risk management in open prisons: A critical analysis and research agenda

Open prisons offer a unique contribution to the community resettlement of those serving custodial sentences. However, the evidence base for the efficacy of open prisons is limited and their existence is frequently scrutinised following adverse events including prisoner absconding and re-offending. This paper critically evaluates open prisons’ efficacy and the effective management of risk in this environment. We present a research agenda which aims to delineate the potential mechanisms of open prisons that rehabilitate offenders, while maintaining the safety of these environments. We emphasise the importance of an improved understanding of risk manifestation, and the need to evaluate existing risk management protocols.

Reliability of earthquake-size distribution and stress regime relationships for fluid-injection-induced seismicity

Induced seismicity caused by fluid injection associated with unconventional gas and geothermal projects, poses a significant hazard that requires effective mitigation and management. This issue is of concern to local and indigenous communities, regulatory bodies, operators and their insurers, as it poses risks to health, safety, and project economics and success. To assess the likelihood and potential magnitude (i.e., severity) of fluid-injection-induced seismicity events, empirical relationships for natural earthquakes have been co-opted that relate event size distributions (b-value) to focal mechanisms and inferred in-situ stress regimes. However, it remains unclear whether these associations can be generalized and applied to fluid-injection- induced seismicity. Analyses presented here using a global dataset of induced seismicity events suggest they can't. Unlike natural earthquakes where tectonic forces generally activate the faults most critically aligned to the far-field in-situ stresses, fluid-injection-induced seismicity is driven mainly by localized pressure perturbations that may activate a fault with a non-critically aligned orientation. These findings are further investigated and supported using 3-D Mohr-circle slip tendency analyses and 3-D numerical models employing a fully-coupled hydro-mechanical bonded-lattice methodology via the commercial hydraulic fracturing numerical simulation program XSite. The combined empirical, analytical and numerical simulation results indicate that under a transform stress regime (SH > SV > Sh), for typical reservoir depths (i.e., 1–6 km), a larger area of the fault affected by the injected fluid pressures is critically stressed compared to a compressional stress regime (SH > Sh > SV), resulting in a larger slip area and an increased likelihood of larger magnitude fluid-injection-induced seismicity events. These findings have important implications for the development of effective hazard mitigation strategies and risk management protocols for fluid-injection-induced seismicity.

Ethical Challenges in Forensic Social Work

Many social workers become involved in legal proceedings on their clients’ behalf. A subset of practitioners identify themselves as forensic social workers. Forensic social work is typically defined as the application of social work knowledge and skills to questions and issues relating to law, legal institutions, and legal proceedings. This social work specialization often entails collaboration with other professionals, especially attorneys, on clients’ behalf. This collaboration sometimes leads to ethical dilemmas, especially related to commitment to clients; informed consent; client confidentiality and privileged communication; conflicts of interest; and interdisciplinary collaboration. The purpose of this article is to identify common ethical challenges in forensic social work; apply relevant social work ethics standards; discuss risk management models and protocols to protect clients and practitioners; and discuss potential ethics challenges when forensic social workers are subpoenaed during legal proceedings.

Plain set and stirred yogurt with different additives: implementation of food safety system as quality checkpoints.

Hazard Analysis Critical Control Point (HACCP) is a risk management protocol developed to ensure food safety through a precautionary approach that is believed to offer assurances in producing safe food for customers. Yogurt is made in a number of phases, commencing with the collection of raw milk and ending with consumer consumption. While this is happening, major economic and health issues might arise from exposing the manufacturing line to biological, chemical, and/or physical contaminations. As a result, the decision tree approach was used to determine the CCPs during the production of yogurt. Additionally, biological dangers are incorporated as a by-product of the system's implementation performance. In particular, the plain set and nut puree-honey-fortified stirred yogurt manufacturing techniques are highlighted for the first time in this study. The potential manufacturing risks are described for the first time, together with information on how HACCP plans may guard against major risks that could result in the production of yogurt that is not in compliance with established standards.