Changing Circumstances Research Articles

A political economy perspective of the constitution of ancient Sparta: conflict resolution, credibility, and stability

AbstractUniquely in Ancient Greece the constitution of Sparta provided for two kings from different dynasties reigning simultaneously, an aristocratic upper house, an annually elected board of overseers, an assembly, and a society of warriors to rule over an enslaved neighbouring population. It contributed to Sparta’s elevation to a great power and lasted almost unaltered for five hundred years until the middle of the third century BCE. The paper argues that the intricate constitutional order resolved internal conflicts about income distribution that had plagued Sparta in her early days. The dual kingship was a power sharing arrangement to avoid intra-elite fighting. Constraints on royal power, military organization and conquest of foreign lands secured redistribution to the Spartan poor solving inter-group conflict between the rich and the poor. The checks and balances provided by the constitution served to credibly commit the elite to the settlements. However, the rigidity of the constitution ossified Sparta’s society who could not respond to changing circumstances.

Personalized Real-Time Risk Assessment and Alert System to Mitigate Risks for Mothers with Deteriorating Health

A real-time alert system for pregnant women with worsening health is a digital solution that uses data and analytics to identify potential health risks and send alerts to healthcare providers, family members or the women themselves. This system that processes data and generates alters in real-time, enabling swift action to be taken in response to changing circumstances. The target for this system is to mitigate expectant mothers whose health is deteriorating or at risk of complications. Thus, the goal of this entitled article is to prevent complications and ensure timely medical interventions in worsening mother with deteriorating health condition.

HIGH-TEMPERATURE EPOXY-BASED COMPOSITES

Oil-well equipment for oil production operates under complex and changing circumstances. Well pressure and temperature can reach 100 MPa and 200 °С. Chemicals are pumped into oil-wells to enhance oil yield. However, this leads to an accelerated corrosion and contributes to the equipment breakdown. Adverse effects on the equipment can be decreased through use of protecting coatings with multi-function properties.Epoxy coatings are popular. However, they are limited by operating temperature of 130 °C. If the temperature is exceeded, epoxy coatings lose their protective properties. However, researches claim that the heat resistance can be modified through epoxy resin fillers. This allows to create new composites with advanced properties. To create composites that can function under an elevated temperatures we need to research the components selection further.The article describes how the composite components influence its heat resistance. The research is based on the Wick's method. The composites matrix is ED-16, ED-20 and ED-22 epoxy-diane resin. The hardeners are PO-300, HT-450 and PEPA. The fillers are carbon nanotubes, carbon fiber, carbonaceous filament and graphene. If we add fillers to the composite based on ED-22 and HT-450 hardener, the heat resistance doubles compared to the unfilled cured resin. It is hypothesised that the epoxy free groups or hardener's free aminogen groups effect the heat resistance, because these groups can react with the fillers and result its spacious structure. This effects the composites properties.The findings serve as the basis for developing composite coatings for oil-well equipment to protect it against harsh environment.

Practising Safe Care in Critical Care: A Reflexive Thematic Analysis.

AbstractAimTo explore the meaning of ‘safety’ as it applies to critical care nurses during daily care practice in the intensive care setting.DesignA qualitative study design was employed.MethodsThe study enlisted 18 critical care nurses and nurse leaders from three hospitals in Sweden. Interview data were collected in 2017 and in 2024. The data were examined using reflexive thematic content analysis.ResultsThe meaning of safety within critical care settings was illustrated by the themes ‘Sustaining a safety mindset’, ‘Fostering commitment to patient safety’, ‘Showing individual accountability and continuous learning’ and ‘Managing complexity while prioritising safety standards’. Safe care practice in daily practice also involved adaptability and resilience in response to changing circumstances or unexpected events, ensuring thoroughness and allowing for a return to regular routines when conditions permitted, thereby preventing incomplete care. Core competencies in safety encompassed both technical and non‐technical skills, such as the ability to assess and use technology, remain vigilant and thorough, plan ahead, prioritise and identify, and follow through on nursing interventions, all while working in a team and allocating sufficient time for patients.ConclusionSustaining a safe mindset over time is both challenging and essential. Further research should focus on how to foster a sustained safety mindset. A more proactive approach to learning may be achieved by reflecting on and discussing things that have worked well even in challenging circumstances.Implications for the Profession and/or Patient CareThis study enriches our understanding of practising safe care in intensive care. It furnishes the nursing profession with a deeper theoretical grasp of proactive safety efforts, encompassing various factors that can mitigate risks in a technologically advanced environment.

International organizations’ practice in the interpretation of their constituent instruments

Abstract Subsequent practice of international organizations plays an important role in the interpretation of their constituent instruments. Based on Articles 5 and 31(3) of the Vienna Convention on the Law of Treaties (VCLT), when such practices have become established or have been consented to by all States parties, they can be considered authoritative interpretations. The legal basis for considering practices of international organizations in other circumstances, however, is not entirely clear. The International Law Commission proposed that these practices may still be considered in the application of Articles 31 and 32 of the VCLT but left many issues undiscussed. This article argues that it is possible to consider international organizations’ practice in the application of Article 31 if a strong inference about the original intention of States parties can be drawn therefrom. To address difficulties involved in evaluating the probative value of international organizations’ practice, this article borrows a tool from probability theory—likelihood ratio—and shows that, absent a major change of circumstances, international organizations’ earlier practice can be seen as credible evidence of States parties’ original intention and considered in the application of Article 31.

Stress and Pregnancy Outcomes: A Review of the Literature.

The human body has the ability to adapt to changing circumstances, and mobilizes various biological systems in order to do so. When exposed to stressful conditions, the endocrine, nervous, and immune systems come together to aid in maintaining homeostasis; however, during periods of chronic stress, these systems can become maladaptive and lead to long-term detrimental health outcomes. Amongst the lingering effects associated with chronic stress exposure, increasingly, studies are identifying a link to adverse pregnancy and neonatal outcomes. This review explores what has been uncovered in the field to date, and examines the effects of stress on fertility and gestation. Establishing additional factors which put women at risk for adverse pregnancy outcomes can aid in identifying a vulnerable population who could benefit from early stress-reducing interventions.

The Energy Charter Treaty: Letting the sun set on sunset clauses

AbstractThis article focuses on the sunset clause of the Energy Charter Treaty (ECT). The ECT is a multilateral investor‐state arbitration treaty which allows for the use of investor‐state dispute settlement (ISDS) tribunals to arbitrate challenges arising from shifts in energy policy that lead to a loss in profits for relevant energy companies. The treaty has become controversial as climate activists have alleged it is slowing down efforts to transition away from fossil fuels. Withdrawal from the ECT does not necessarily solve the alleged issues as the treaty contains a sunset clause, allowing for the provisions of the ECT to remain in force for 20 years post withdrawal. This article seeks to analyse various mechanisms and strategies for neutralising the sunset clause as part of a wider effort to ensure the ECT does not interfere with the phasing out of fossil fuels. It will be argued that such neutralisation should be possible through the use of Article 62 of the Vienna Convention on the Law of Treaties (VCLT), on the basis that there has been a fundamental change in circumstances since the inception of the treaty. This use of the rebus sic stantibus doctrine can be justified on the basis that a swift and substantial transition away from fossil fuels is now required to ensure states can meet their obligations under the Paris Agreement. This article will also explore alternatives to an Article 62 VCLT argument (i.e. a fundamental change in circumstances) that could nonetheless achieve the primary goal of ensuring that states are not bound to a pro fossil‐fuel treaty. Examples of alternatives include the insertion of a climate carve‐out to remove protections from investments that hinder climate action or the use of the defence of necessity in future ECT arbitration cases to argue that the state should not remain bound to the sunset clause. Regardless of whichever scenario is pursued by states, the article seeks to highlight that any and all efforts must be made to neutralise the sunset clause to ensure there is no interference with necessary efforts to pursue climate action.

An Energy-efficient Routing Protocol Based on Elephant Herding Optimization in MANET

Background: A mobile ad hoc network (MANET) is a collection of self-organizing mobile nodes creating an ad hoc network without fixed infrastructure. Routing is a major issue in mobile networks that may reduce network performance due to frequent network topology changes. Routing protocols are so important in dynamic multi-hop networks that many studies have focused on the routing problem in MANETs. Methods: In this research work, a proposed ad hoc on-demand distance vector (AODV) with an elephant herding optimization (EHO) called AODVEHO is used as an optimal path selection method that creates a set of best paths between destination and source. Results: To validate the performance of proposed AODVEHO, AntHocNet, AODV, and designation sequence distance vector (DSDV). Various performance measures are considered to validate our proposed research work, such as packet delivery ratio (PDR), end-to-end delay (E2ED), and average energy consumption (AEC). Conclusion: Experimental results are indicated that the AODVEHO achieved a higher routing overhead (73 %), PDR (89.87 %), low E2ED rate (95.22 %), AEC (75.60 %), and dead nodes (75%) when compared to other routing schemes.

An optimal control for non-autonomous second-order stochastic differential equations with delayed arguments

Abstract Optimal control of non-autonomous second-order stochastic differential equations with delayed arguments is indispensable for managing systems exposed to uncertainty, time-dependent dynamics, and historical influences. These equations underpin a wide range of applications, including finance, engineering, and biology, where it’s imperative to make informed decisions that mitigate risks or maximize returns while considering the inherent randomness, evolving conditions, and the impact of past states. By employing optimal control techniques, we can devise strategies that are resilient to uncertainty, adaptable to changing circumstances, and capable of accounting for the memory effects of previous events. This empowers us to optimize system performance, bolster stability, and attain desired objectives in intricate and dynamic environments. So, the goal of this article is to introduce a novel model of second-order perturbed stochastic differential equations incorporating non-local finite delay and deviated arguments in the setting of Hilbert spaces. Moreover, essential criteria are presented to examine the existence of a mild solution and evaluate the potential for approximate and optimal control of the proposed system. These results have been obtained by using evolution operators, fixed point techniques, random analytic methods, and compact semigroup theory. Further, to support the theoretical results, the optimal controllability of our model was studied by considering the Lagrange problem. Finally, the results were applied to discuss the approximate controllability of a partial differential equation. These models have the potential to advance the understanding and application of optimal control techniques for a wider range of complex systems.

INFLUENCE OF STRATEGIC DIRECTION ON THE PERFORMANCE OF FINTECH FIRMS IN NAIROBI CITY COUNTY, KENYA

This study investigated the influence of strategic direction on the performance of financial technology (FINTECH) firms in Nairobi City County, Kenya. The research was grounded in strategic leadership theory and employed a predictive research design. The target population consisted of 154 senior and middle-level managers from 22 FINTECH firms, with a sample size of 111 respondents determined using the Taro Yamane formula. Data was collected using structured questionnaires, achieving a response rate of 82.88%. Descriptive statistics revealed that firms excel in adapting strategic direction to changing circumstances (M = 4.80, SD = 0.399) and establishing clear strategic direction (M = 4.43, SD = 0.731), but face challenges in setting clear and measurable goals (M = 1.18, SD = 0.390). In the inferential analysis, multiple linear regression revealed that strategic direction has a statistically significant positive influence on FINTECH firm performance (β = 0.890, t = 11.797, p < .05). The coefficient of determination (R² = 0.685) indicated that 68.5% of the variance in organizational performance could be explained by the strategic factors studied. The study concludes that effective strategic direction is fundamental to FINTECH firm success in Kenya's dynamic financial technology sector, validating the theoretical frameworks that emphasize strategic leadership's role in organizational performance. The research recommends that FINTECH firms implement comprehensive strategic management frameworks that balance structured goal-setting processes with adaptive capabilities, while regulatory bodies develop supportive policies that encourage strategic innovation while maintaining industry stability. This research contributes to both the theoretical understanding of strategic management in the FINTECH sector and provides practical insights for industry leaders navigating complex market conditions.<p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/soc/0735/a.php" alt="Hit counter" /></p>

Breaking the silence: Do I tell my child about their sexual abuse history? Longitudinal analysis of parental decision-making regarding disclosure of preverbal sexual abuse by parents to their child: A qualitative study

BackgroundThe Amsterdam Sexual Abuse Case (ASAC) presented parents with a dilemma about disclosing preverbal sexual abuse to their child. Advising parents was challenging due to limited knowledge about the consequences of preverbal child sexual abuse (CSA) and the rarity of children having no conscious awareness of their experience. To enhance recommendations and knowledge, we explored parents' experiences over the years. ObjectiveThis unique qualitative study introduced “parental disclosure”, where non-offending parents disclose CSA to their child, and investigated the decision-making process spanning a decade after the ASAC discovery. MethodsLongitudinal qualitative data were collected through yearly interviews. Participants and settingIn total, 41 parents participated for 47 children. An additional in-depth interview was conducted with 20 parents in 2015. ResultsQuantitative data highlighted that over 10 years, parents of more than half of the children disclosed the preverbal CSA. Our analyses revealed that parental disclosure decisions entail dilemmas and unfold as a gradual process. Factors influencing decision-making included fear of stigma, child's emotional readiness, perceived benefits and risks, parental beliefs, values, and CSA circumstances. ConclusionThis study underscores the complex nature of parental disclosure and shows that it is an ongoing process rather than a singular event. Parents' choices evolved based on changing circumstances and new information. Outcomes enrich the understanding of parental disclosure decision-making, highlighting the need for tailored support services to aid parents navigating the aftermath of preverbal CSA. Parental disclosure is highly individualized and calls for evidence-based interventions and policies.

Topic modelling and sentiment analysis during COVID-19 revealed emotions changes for public health

Between 2020 and 2022, lockdown and restraining measures as a result of the COVID-19 pandemic led to changes in daily routines and also in language usage. At certain points during the pandemic, populations in some countries were unwilling or unlikely to respond to government messages, either because of the tone and analytic discourse used by leaders, or because they did not understand the messages. Linguistic markers and meanings were therefore linked to low levels of engagement, negative emotions and high levels of analytical thinking, especially in relation to the discourses of influential international leaders. We subjected sixteen speeches by eight country leaders to topic modelling and sentiment analysis in order to understand how the psychological functions of language were affected during two different periods of the COVID-19 pandemic. In this topic analysis we organize 39,073 words collected from sixteen authentic speeches delivered in two different periods of the acute phase of the pandemic. These were encoded in the Linguistic Inquiry Word Count program (LIWC), with the main aim being to identify differences between the periods. We examined the following aspects: (1) the emotional tone, analytical thinking and clout (empathy dimension); (2) the changes in these three dimensions or factors between periods 1 and 2 (February and May 2020). We observed a negative relationship between emotional tone and analytical thinking and a positive relationship between clout and emotional tone. When we considered the changes in pandemic circumstances, the psycholinguistic profiles of eight country leaders demonstrated fluctuations in language and emotions. Further reviews and research should focus on the current language and deficit wording of this population (leaders). We also note that psychologists and schoolteachers can play an important role in supporting language programmes with positive wording and by emphasising the collateral effects of face-to-face classes when teaching children to read and write.

Towards resilience: Primal large-scale re-optimization

Perturbations are universal in supply chains, and their appearance has become more frequent in the past few years due to global events. These perturbations affect industries and could significantly impact production, quality, cost/profitability, and consumer satisfaction. In large-scale contexts, companies rely on operations research techniques. In such a case, re-optimization can support companies in achieving resilience by enabling them to simulate several what-if scenarios and adapt to changing circumstances and challenges in real-time. In this paper, we design a generic and scalable resilience re-optimization framework. We model perturbations, recovery decisions, and the resulting re-optimization problem, which maximizes resilience. We leverage the primal information through fixing, warm-start, valid inequalities, and machine learning. We conduct extensive computational experiments on a real-world, large-scale problem. The findings highlight that local optimization is enough to recover after perturbations and demonstrate the power of our proposed framework and solution methodology.

Influence of Organizational Market Culture on Change Management in Kenyan Social Enterprises

Firms ought to continuously adapt and modify their operations to fit the changing circumstances in the fiercely competitive and dynamic business environment. This suggests that businesses must incur substantial costs to carry out a variety of changes that will enable them to operate in the changing environment. Adjustments play an important part in defining firm competitiveness in the modern economic environment; however, many firms struggle to properly manage innovations, ensure long-term development, and motivate employees to accept change. This study explored the influence of organizational market culture on change management in social enterprises in Kenya. The study employed the Competing Values Culture theory to assess the company's culture. Using a descriptive design, the study targeted all 129 employees of Kidogo Early Years Company Limited, from top management to departmental level. Data collection involved questionnaire surveys for primary data. Analysis of quantitative data was by Statistical Package for Social Sciences version 29. The regression analysis findings revealed that organizational market culture (β = 0.310, p = 0.012) had significant positive influence on change management. The study concludes that organizations that are goal-oriented and market-driven are more adaptable to external pressures and are better positioned to manage change effectively. In view of the findings, the study recommends that for organizations with a market culture, it is crucial to embed a results-oriented approach that aligns change management with organizational goals and objectives. Practices such as setting clear performance targets, encouraging a competitive spirit, and focusing on market-driven strategies should be incorporated into daily operations. Keywords: Organizational Market Culture, Change Management, Social Enterprises, Organizational Culture Influence, Kenya

Bird-View Exploration of Internal Controls and Financial Performance of Selected Savings and Credit Co-Operative Societies in Moyo District, Uganda

This article explores internal controls and financial performance of selected savings and credit cooperative societies in Moyo district, Uganda. Utilizing both qualitative and quantitative methodologies, a descriptive cross-sectional research design was employed. The population consists of 56 participants. Data was collected with surveys and interviews. Findings revealed that internal controls are the pillar of any financial institution and SACCOs are not excluded and good financial performance is the motive for having good internal controls implemented in the SACCOs. In spite of the role played by internal controls, SACCOs have continued to face challenges relating to liquidity, profitability, efficiency; in terms of cost per borrower, and alleged malpractices. The above challenges could be attributed to weak internal control system, as this sets a base for misappropriation of organization’s resources. It is on this note that the study calls for the implementation of a systematic risk assessment process that identifies, assesses, and mitigates risks. Regularly update risk assessments to adapt to changing circumstances. More so, there is need to maintain effective internal control communication and proper flow of information down, across, and up within all sections of the organization. This includes clear communication of roles and responsibilities. Invest in continuous training and education for SACCO staff and members to ensure they have a strong understanding of internal controls, ethics, and risk management. Develop and regularly update comprehensive policies and procedures that clearly outline internal control processes, responsibilities, and expectations. This can serve as a guide for staff and members and ensure consistency in control activities. Keywords: Credits, Cooperative societies, Financial performance, Internal controls, Savings.

Adaptive Energy Management Strategy for Hybrid Electric Vehicles in Dynamic Environments Based on Reinforcement Learning

Energy management strategies typically employ reinforcement learning algorithms in a static state. However, during vehicle operation, the environment is dynamic and laden with uncertainties and unforeseen disruptions. This study proposes an adaptive learning strategy in dynamic environments that adapts actions to changing circumstances, drawing on past experience to enhance future real-world learning. We developed a memory library for dynamic environments, employed Dirichlet clustering for driving conditions, and incorporated the expectation maximization algorithm for timely model updating to fully absorb prior knowledge. The agent swiftly adapts to the dynamic environment and converges quickly, improving hybrid electric vehicle fuel economy by 5–10% while maintaining the final state of charge (SOC). Our algorithm’s engine operating point fluctuates less, and the working state is compact compared with Deep Q-Network (DQN) and Deterministic Policy Gradient (DDPG) algorithms. This study provides a solution for vehicle agents in dynamic environmental conditions, enabling them to logically evaluate past experiences and carry out situationally appropriate actions.

Developmental change, bricolage, and how a lot of things develop: Mechanisms and changes in attachment across the lifespan.

Under the leadership of its founding editor, Dante Cicchetti, Development and Psychopathology has been recognized for decades as the foremost journal integrating developmental theory and clinical research programs. Contributors have often highlighted the implications of attachment theory and research for understanding developmental processes and pathways, and as a testing ground for intervention strategies. In this paper we reflect on the strengths and limitations of the traditional developmental perspective. We suggest that behavioral, cognitive, and emotional development are better understood as a process of bricolage (construction within constraints). This perspective is illustrated in an analysis of change mechanisms, and behavioral and representational changes, in attachment development from pre-locomotor infancy to later adulthood. Special emphasis is placed on ordinary learning and cognitive processes, rather than those specific to attachment, and on the roles that socialization pressures and changing circumstances play in shaping the course of attachment development.

Early childhood education contingencies for sustaining learning during school closures: Lessons from preschool remote education home visits in Indonesia during the COVID-19 pandemic

Maintaining kindergarten education amid emergency situations is difficult. The COVID-19 pandemic highlighted the difficulties faced by early childhood education institutions in ensuring that children continue education despite school closures and prolonged social isolation. The transition from in-classroom learning to remote learning, which was mostly online for older age groups, was especially complicated for younger pupils due to their nature and limited family resources. In contrast, numerous kindergartens in Indonesia initiated home visit programs that enabled children to learn face-to-face with their teachers and peers during the school closure periods. The purpose of this study was to examine how the home visit program for early childhood education was implemented and how teachers and parents viewed this emergency alternative to online learning. A qualitative case study was employed as a method of inquiry. Nine parents and four teachers from a single kindergarten in South Tangerang, a suburb of Jakarta, participated in this study. The data revealed the home visit program’s implementation involved the following measures: dividing children into small groups, a teacher visiting each group’s assigned home once or twice per week for 45–90 min, enforcing health measures, and giving daily activities for students to complete with their parents. Teachers stated that the home visit program was helpful but had significant faults. Among the benefits were the following: It helped children comprehend learning materials, piqued their interest, and served as a possible alternative due to a family’s lack of resources such as electricity, internet connectivity and quota, educators’ competency in implementing online learning, and parents limited or unavailable devices. Meanwhile, some disadvantages of home visits included the following: Parents felt obligated to entertain their children’s teachers and peers, some students were unable to study due to distance, additional time and energy was spent on media preparation and learning activities, and the risk of exposure to COVID-19 was increased. In the future, unexpected health hazards or other situations may occur. These findings indicate the need for early childhood education institutions to be more prepared, develop a strategy and adjust their instructional approaches to respond rapidly to changing circumstances when required.

Assertion-Based Validation using Clustering and Dynamic Refinement of Hardware Checkers

Post-silicon validation is a vital step in System-on-Chip (SoC) design cycle. A major challenge in post-silicon validation is the limited observability of internal signal states using trace buffers. Hardware assertions are promising to improve observability during post-silicon debug. Unfortunately, we cannot synthesize thousands (or millions) of pre-silicon assertions as hardware checkers (coverage monitors) due to hardware overhead constraints. Therefore, we need to select the most profitable assertions based on design constraints. However, the design constraints can also change dynamically during the device lifetime due to changes in use-case scenarios as well as input variations. Therefore, assertion selection needs to dynamically adapt based on changing circumstances. In this article, we propose an assertion-based post-silicon validation framework to address the above challenges. Specifically, this article makes two important contributions. We propose a clustering-based assertion selection technique that can select the most profitable pre-silicon assertions to maximize the fault coverage. We also present a cost-aware dynamic refinement technique that can select beneficial hardware checkers during runtime based on changing design constraints. Experimental evaluation demonstrates that our proposed pre-silicon assertion selection can outperform state-of-the-art assertion ranking methods (Goldmine and HARM). The results also highlight that our proposed post-silicon dynamic refinement can accurately predict area (less than 5% error) and power consumption (less than 3% error) of hardware checkers at runtime. This accurate prediction enables the identification of the most profitable hardware checkers based on design constraints.

Enhancing Small Target Detection in Aerial Imagery with Bi-PAN-FPN and EDMOA-Optimized YOLOv8-s

Across the globe, people are working to build "smart cities" that will employ technology to make people's lives better and safer. Installing cameras at strategic spots across the city to monitor public spaces besides provide real-time footage to law enforcement besides other local authorities is a crucial part of smart city infrastructure, which includes video surveillance. A more effective answer is provided by deep learning algorithms, however research in this area still faces significant problems from changes in target size, form change, occlusion, and illumination circumstances as seen from the drone's perspective. In light of the aforementioned issues, this study presents a highly effective and resilient approach for aerial picture identification. To begin, the concept of Bi-PAN-FPN is presented to enhance the neck component of YOLOv8-s, taking into consideration the prevalent issue of small targets being easily misdetected or ignored in aerial photos. We achieve a more advanced and thorough feature fusion procedure much as feasible by completely considering and reusing multiscale features. To further reduce the amount of parameters in the model and prevent info loss during long-distance feature transfer, the benchmark model's backbone incorporates the GhostblockV2 structure in lieu of a portion of the C2f module. With the help of the Enhanced Dwarf Mongoose Optimization Algorithm (EDMOA), the suggested model's hyper-parameters are optimised. Lastly, a dynamic nonmonotonic focusing mechanism is employed in conjunction with WiseIoU loss as bounding box regression loss. The detector accounts for varying anchor box quality by utilizing "outlier" evaluations, thus improving the complete presentation of the detection task.