Critical Gaps Research Articles

Mechanisms of telomere maintenance and associated therapeutic vulnerabilities in malignant gliomas.

A majority of cancers (~85%) activate the enzyme telomerase to maintain telomere length over multiple rounds of cellular division. Telomerase-negative cancers activate a distinct, telomerase-independent mechanism of telomere maintenance termed alternative lengthening of telomeres (ALT). ALT uses homologous recombination to maintain telomere length and exhibits features of break-induced DNA replication. In malignant gliomas, the activation of either telomerase or ALT is nearly ubiquitous in pediatric and adult tumors, and the frequency with which these distinct telomere maintenance mechanisms (TMMs) is activated varies according to genetically defined glioma subtypes. In this review, we summarize the current state of the field of TMMs and their relevance to glioma biology and therapy. We review the genetic alterations and molecular mechanisms leading to telomerase activation or ALT induction in pediatric and adult gliomas. With this background, we review emerging evidence on strategies for targeting TMMs for glioma therapy. Finally, we comment on critical gaps and issues for moving the field forward to translate our improved understanding of glioma telomere maintenance into better therapeutic strategies for patients.

Predicting Gross Domestic Product (GDP) using a PC-LSTM-RNN model in urban profiling areas

Gross Domestic Product (GDP) is significant for measuring the strength of national and global economies in urban profiling areas. GDP is significant because it provides information on the size and performance of an economy. The real GDP growth rate is frequently used to indicate the economy’s health. This paper proposes a new model called Pearson Correlation-Long Short-Term Memory-Recurrent Neural Network (PC-LSTM-RNN) for predicting GDP in urban profiling areas. Pearson correlation is used to select the important features strongly correlated with the target feature. This study employs two separate datasets, denoted as Dataset A and Dataset B. Dataset A comprises 227 instances and 20 features, with 70% utilized for training and 30% for testing purposes. On the other hand, Dataset B consists of 61 instances and 4 features, encompassing historical GDP growth data for India from 1961 to 2021. To enhance GDP prediction performance, we implement a parameter transfer approach, fine-tuning the parameters learned from Dataset A on Dataset B. Moreover, in this study, a preprocessing stage that includes median imputation and data normalization is performed. Mean Square Error, Mean Absolute Error, Root Mean Square Error, Mean Absolute Percentage Error, Median Absolute Error, and determination coefficient (R2) evaluation metrics are utilized in this study to demonstrate the performance of the proposed model. The experimental results demonstrated that the proposed model gave better results than other regression models used in this study. Also, the results show that the proposed model achieved the highest results for R2, with 99.99%. This paper addresses a critical research gap in the domain of GDP prediction through artificial intelligence (AI) algorithms. While acknowledging the widespread application of such algorithms in forecasting GDP, the proposed model introduces distinctive advantages over existing approaches. Using PC-LSTM-RNN which achieves high R2 with minimum error rates.

Health Policy Analysis on the Containment of Antimicrobial Resistance (AMR) in India: A Mixed Methods Study of Antimicrobial Stewardship as a Pivotal Intervention in Tackling AMR

Objective: This policy report aimed at two goals, that is, to report the findings of the literature review and explore the perceptions of the key stakeholders in seeking better insight into the antimicrobial stewardship program (AMSP), and to develop antimicrobial resistance (AMR) policy recommendations for the Ministry of Health and Family Welfare (MoHFW), India, based on the findings from the rapid systematic review of the literature (both published and grey) and the views of key stakeholders. Method: A mixed method approach using literature review and qualitative interviews has been applied. A rapid systematic literature review focusing on the antimicrobial stewardship pro-gram’s key achievements and its implementation and impact, implementation challenges, gaps and barriers, and opportunities, has been carried out, which has been followed by conducting interviews of key stakeholders and reporting the findings along with the recommendations. Results: The findings have shown significant progress towards AMSP, such as expanding to 90 secondary-level hospitals and district-level hospitals/nursing homes, and the Indian Council of Medical Research antimicrobial resistance surveillance and research network (ICMR AMRSN) program. Education, training, and microbiological testing have been found to be the current focus areas. However, there exist challenges, including a lack of leadership support, diagnostic stew-ardship, and staffing of clinical pharmacists and infectious control nurses. Key gaps and barriers identified include setting up microbiology laboratories and hiring ICN nurses and clinical phar-macists. Opportunities have also been identified. Based on these findings, we have made succinct recommendations to address the themes and issues identified. Conclusion: Without new medicines, India will struggle to manage antimicrobial resistance. This situation calls for national oversight. This study has demonstrated AMSP as crucial for fighting this silent pandemic. The Indian government and policymakers must swiftly address critical chal-lenges, gaps, and opportunities. These findings and recommendations might potentially strengthen the future antimicrobial resistance national action plan (AMR NAP).

Deciphering Tuberculous Meningitis: From Clinical Challenges to Novel Models and Pathogenic Pathways.

During and after the COVID-19 pandemic,Tuberculosis (TB) has reestablished with higher figures due to interruptions in the Directly Observed Treatment Short course (DOTS) despite underreporting. The rising consequences would have extended to extra-pulmonary forms of TB as well, including Tuberculous Meningitis (TBM). Considering the fact that TBM is the most dangerous and worst form of TB, we found the need to scan the literature to highlight various aspects of TBM. Epidemiology of TBM is proportionally less frightening, but the consequent mortalities and morbidities are more alarming than pulmonary TB. Here, we address critical research gaps in Tuberculous Meningitis that warrant further investigations. The highlighted aspects encompass a comprehensive understanding of TBM's clinical presentation and improved diagnostic tools for timely detection, the exploration of innovative chemotherapies and surgical interventions, the unraveling of the role of the blood-brain barrier in disease onset, investigating of the contributions of various brain cells to TBM development, deciphering the complex inflammatory response, exploring the involvement of Matrix Metalloproteinases in tissue damage, delving into host-pathogen genetics influencing susceptibility, utilizing robust in-vivo and in-vitro models for mechanistic insights, and more importantly between TBM and SARS-COVID-19 are discussed. Addressing these gaps will substantially advance our understanding of TBM's complex pathogenesis, contributing to more effective diagnostic, therapeutic, and preventive strategies against this debilitating disease.

Unraveling the epigenetic code: human kidney DNA methylation and chromatin dynamics in renal disease development

Epigenetic changes may fill a critical gap in our understanding of kidney disease development, as they not only reflect metabolic changes but are also preserved and transmitted during cell division. We conducted a genome-wide cytosine methylation analysis of 399 human kidney samples, along with single-nuclear open chromatin analysis on over 60,000 cells from 14 subjects, including controls, and diabetes and hypertension attributed chronic kidney disease (CKD) patients. We identified and validated differentially methylated positions associated with disease states, and discovered that nearly 30% of these alterations were influenced by underlying genetic variations, including variants known to be associated with kidney disease in genome-wide association studies. We also identified regions showing both methylation and open chromatin changes. These changes in methylation and open chromatin significantly associated gene expression changes, most notably those playing role in metabolism and expressed in proximal tubules. Our study further demonstrated that methylation risk scores (MRS) can improve disease state annotation and prediction of kidney disease development. Collectively, our results suggest a causal relationship between epigenetic changes and kidney disease pathogenesis, thereby providing potential pathways for the development of novel risk stratification methods.

Normalized stability time analysis within the boundaries between adults with and without fear of falling

BackgroundThe unilateral stance test, measured by the center of pressure (COP), has been widely used to identify balance deficits. However, there is a critical gap in understanding the specific COP thresholds on postural stability in adults with a fear of falling (FOF).AimsTo investigate the normalized stability time, which was defined as the ratio of time spent within stability boundaries to the total test duration, under different visual conditions and specific thresholds between adults with and without FOF.MethodsTwenty-one older adults with FOF and 22 control subjects completed the unilateral limb standing test in eyes-open and eyes-closed conditions. Normalized stability times were computed based on five pre-determined COP sway range thresholds: 10 mm, 15 mm, 20 mm, 25 mm, and 30 mm.ResultsReceiver operating characteristic analysis determined the diagnostic accuracy of FOF. There were significant differences in the effects of both visual conditions (F = 46.88, p = 0.001) and threshold settings (F = 119.38, p = 0.001) on stability time between groups. The FOF group significantly reduced normalized stability time at the 10 mm COP threshold under eyes-closed conditions (t = – 1.95, p = 0.03).DiscussionThe findings highlight the heightened sensitivity of the 10 mm COP threshold in identifying group variances in postural stability when eyes are closed. Moreover, the FOF group displayed a marked reduction in stability duration based on visual scenarios and normalized thresholds.ConclusionThe study highlights the need to account for both COP boundaries and visual conditions in adults with FOF. When assessing postural control during unilateral stances, clinicians must also give attention to non-visual cues.

Integrating Learning Management System and Digital Library for Students’ Assessment

Information and Communication Technology (ICT) has recently advanced in education sector where teachers and other educational stakeholders use learning management system (LMS) to improve students learning. Tanzania in the meantime, has implementing multiple initiatives aimed at enhancing ICT integration in education. The initiatives includes connection of National ICT broadband backbone, implementing various ICT projects such as Tanzania Education and Research Network (TERNET) and the use LMS and digital library (DL) through Tanzania Institute of Education (TIE). Apart from the government initiatives, a critical gap exists in the knowledge and proficiency of both tutors and students in utilizing LMS and DL skills to enhance creativity. This study seeks to address this issue by exploring the integration of LMS and DL to preserve the talents and skills of educators and students. The research utilized a mixed-method approach that involved questionnaires and interviews from tutors. Data were analyzed both inferentially and descriptively. The study found that 33% of tutors were competent to ICT skills related to LMS and DLs. Furthermore, the study proposed a digital library system (DiLaS) prototype as a blueprint for integrating LMS and DLs to support students in learning and assessment. The paper recommends that the government should draw policy strategies that support innovation in digital systems to preserve exceptional skills.

Structural Studies of Henipavirus Glycoproteins.

Henipaviruses are a genus of emerging pathogens that includes the highly virulent Nipah and Hendra viruses that cause reoccurring outbreaks of disease. Henipaviruses rely on two surface glycoproteins, known as the attachment and fusion proteins, to facilitate entry into host cells. As new and divergent members of the genus have been discovered and structurally characterized, key differences and similarities have been noted. This review surveys the available structural information on Henipavirus glycoproteins, complementing this with information from related biophysical and structural studies of the broader Paramyxoviridae family of which Henipaviruses are members. The process of viral entry is a primary focus for vaccine and drug development, and this review aims to identify critical knowledge gaps in our understanding of the mechanisms that drive Henipavirus fusion.

Gurung Dharug Ngurrawa (kids on Dharug Country) – centring children’s experiences of Indigenous-led tourism

In this article, we centre the voices and experiences of children engaged over several years in Indigenous tourism initiatives on Dharug Country (Dharug Ngurra) in Western Sydney, Australia. As Dharug and non-Indigenous researchers within the Dharug-led Yanama Budyari Gumada collective (Darug Ngurra et al, 2019, 2020a, 202b, 2021), we dialogue with our gurung, our children, who walked so patiently and with such great curiosity alongside us as we hosted over 25 Darug culture camps involving over 900 participants at Yellomundee Regional Reserve between 2017 and 2022. We dialogue on our experiences of hosting visitors and of learning together for many years on-Dharug Ngurra – learning in myriad ways from each other and from Dharug Ngurra – in a process we call ‘spirals of connection’. This dialogue contributes to addressing the critical gap of children’s voices in tourism literature. Given childhood education is understood as “an important site for the circulation of discourses pertaining to colonisation and reconciliation” (Maddison & Stastny, 2016), we also contribute towards understanding the ways that kids being, loving and learning together on-Country might influence their relationships to Country, culture, and to each other. As we follow how our gurung are learning their respective responsibilities to Dharug Ngurra, we argue governments and corporations alike have much to learn from our gurung. As our gurung tell us, all kids should have the opportunity to learn on-Country. We argue one important way that governments and corporations might step up to their responsibilities to Country is by supporting kids being and learning on Country.

A qualitative assessment of Ukraine’s trauma system during the Russian conflict: experiences of volunteer healthcare providers

BackgroundThe Russian Federation’s invasion of Ukraine is characterized by indiscriminate attacks on civilian infrastructure, including hospitals and clinics that have devastated the Ukrainian health system putting trauma care at risk. International healthcare providers responded to the need for help with the increasing numbers of trauma patients. We aimed to describe their experiences during the conflict to explore the gaps in systems and care for trauma patients to refine the Global Trauma System Evaluation Tool (G-TSET) tool.MethodsWe conducted qualitative key informant interviews of healthcare providers and business and logistics experts who volunteered since February 2022. Respondents were recruited using purposive snow-ball sampling. Semi-structured, in-depth interviews were conducted virtually from January-March 2023 using a modified version of the G-TSET as an interview guide. Interviews were transcribed verbatim and deductive thematic content analysis was conducted using NVivo.FindingsWe interviewed a total of 26 returned volunteers. Ukraine’s trauma system is outdated for both administrative and trauma response practices. Communication between levels of the patient evacuation process was a recurrent concern which relied on handwritten notes. Patient care was impacted by limited equipment resources, such as ventilators, and improper infection control procedures. Prehospital care was described as highly variable in terms of quality, while others witnessed limited or no prehospital care. The inability to adequately move patients to higher levels of care affected the quality of care. Infection control was a key issue at the hospital level where handwashing was not common. Structured guidelines for trauma response were lacking and lead to a lack of standardization of care and for trauma. Although training was desired, patient loads from the conflict prohibited the ability to participate. Rehabilitation care was stated to be limited.ConclusionStandardizing the trauma care system to include guidelines, better training, improved prehospital care and transportation, and supply of equipment will address the most critical gaps in the trauma system. Rehabilitation services will be necessary as the conflict continues into its second year.

Mechanical and moisture-related properties of selected dried tempera paints

Mechanical properties—modulus of elasticity and strain at break, water vapour sorption, and hygroscopic expansion of selected egg tempera and distemper paints were determined as a function of relative humidity (RH) filling in this way a critical gap in the knowledge required for the analysis of fracturing processes in paintings. The experimental work was made possible by the preparation of several tempera paints, mimicking the historical materials, in the form of large specimens. Lead white, azurite, and yellow ochre were selected as pigments, and egg yolk and rabbit skin glue as binding media. The water vapour sorption and the moisture-related swelling of the paints were dominated by the proteinaceous components of the binders. The linear hygroscopic expansion coefficient of the dried egg yolk binder was approximately 1 × 10−4 per 1% RH, several times less than the coefficient of the collagen glue (4 × 10−4 per 1% RH). The moduli of elasticity of egg tempera paints at the RH mid-range were comparable to the moduli of aged oil paints, whilst the modulus of elasticity of the distemper paint was close to values measured for animal glue-based grounds. The paints experienced the transition from brittle to ductile states on increasing RH. The egg tempera paints were found to be more brittle than the distemper paint, gessoes, and, generally, aged oil paints. The observations modify a frequently used laminar model of panel paintings in which the mismatch in the response of glue-based ground layer and wood substrate to variations in RH has been identified as the worst-case condition for the fracturing of the entire pictorial layer. This study demonstrated that tempera could be more brittle than the ground layer and in consequence more vulnerable to cracking.

Illuminating the nutrition-related policy-practice gaps in colorectal cancer survivorship

PurposeColorectal cancer (CRC) is among the three most commonly diagnosed cancers globally, after breast and lung cancer, with an estimated 2 million new cases each year, comprising ten per cent of all cancers worldwide. CRC has a complex aetiology associated with several nutrition-related risk factors. Cancer survivors frequently report alterations to their dietary habits and nutritional intake, with related adverse impacts on health-related quality of life (QOL). Whilst nutrition-related factors are recognised as survivor priorities and embedded in survivor care policies, dietary support is frequently not the standard of care in practice.Methods and resultsIn this Commentary, we present details of a critical policy-practice gap for CRC survivors across the spectrum of nutrition care that we have seen growing in the literature, in hospitals, community and private practice.ConclusionAs these nutrition concerns can adversely impact QOL and morbidity and mortality risks, we hope to raise awareness of these issues to provide a basis of future work in this area, so that policymakers and clinicians can improve support and outcomes for CRC survivors and their families.

Supporting fluid teams: a research agenda

Fluid teams are teams that are rapidly assembled from across disciplines or areas of expertise to address a near-term problem. They are typically composed of individuals who have no prior familiarity with one another, who as a team must begin work immediately, and who disband at the completion of the task. Prior research has noted the challenges posed by this unique type of team context. To date, fluid teams have been understudied, yet their relevance and application in the modern workplace is expanding. This Perspective article presents a concise overview of critical research gaps and opportunities to support selection, training, and workplace design for fluid teams.

Emerging role of extracellular vesicles in veterinary practice: novel opportunities and potential challenges

Extracellular vesicles are nanoscale vesicles that transport signals between cells, mediating both physiological and pathological processes. EVs facilitate conserved intercellular communication. By transferring bioactive molecules between cells, EVs coordinate systemic responses, regulating homeostasis, immunity, and disease progression. Given their biological importance and involvement in pathogenesis, EVs show promise as biomarkers for veterinary diagnosis, and candidates for vaccine production, and treatment agents. Additionally, different treatment or engineering methods could be used to boost the capability of extracellular vesicles. Despite the emerging veterinary interest, EV research has been predominantly human-based. Critical knowledge gaps remain regarding isolation protocols, cargo loading mechanisms, in vivo biodistribution, and species-specific functions. Standardized methods for veterinary EV characterization and validation are lacking. Regulatory uncertainties impede veterinary clinical translation. Advances in fundamental EV biology and technology are needed to propel the veterinary field forward. This review introduces EVs from a veterinary perspective by introducing the latest studies, highlighting their potential while analyzing challenges to motivate expanded veterinary investigation and translation.

Integration of expression QTLs with fine mapping via SuSiE.

Genome-wide association studies (GWASs) have achieved remarkable success in associating thousands of genetic variants with complex traits. However, the presence of linkage disequilibrium (LD) makes it challenging to identify the causal variants. To address this critical gap from association to causation, many fine-mapping methods have been proposed to assign well-calibrated probabilities of causality to candidate variants, taking into account the underlying LD pattern. In this manuscript, we introduce a statistical framework that incorporates expression quantitative trait locus (eQTL) information to fine-mapping, built on the sum of single-effects (SuSiE) regression model. Our new method, SuSiE2, connects two SuSiE models, one for eQTL analysis and one for genetic fine-mapping. This is achieved by first computing the posterior inclusion probabilities (PIPs) from an eQTL-based SuSiE model with the expression level of the candidate gene as the phenotype. These calculated PIPs are then utilized as prior inclusion probabilities for risk variants in another SuSiE model for the trait of interest. By prioritizing functional variants within the candidate region using eQTL information, SuSiE2 improves SuSiE by increasing the detection rate of causal SNPs and reducing the average size of credible sets. We compared the performance of SuSiE2 with other multi-trait fine-mapping methods with respect to power, coverage, and precision through simulations and applications to the GWAS results of Alzheimer's disease (AD) and body mass index (BMI). Our results demonstrate the better performance of SuSiE2, both when the in-sample linkage disequilibrium (LD) matrix and an external reference panel is used in inference.

CAMTAs, a family of calmodulin-binding transcription factors, are versatile regulators of biotic and abiotic stress responses in plants

Plants, rooted in one place, are constantly subjected to diverse biotic and abiotic stresses that limit their growth and development, resulting in significant crop losses. In response to stresses, plants deploy several integrated signaling networks to rapidly reprogram gene expression thereby altering cellular processes to adapt and survive under unfavorable conditions. Among the key signaling mechanisms that plants use, calcium- and calcium/calmodulin-mediated signal transduction pathways have emerged as one of the ubiquitous players. The calcium-signaling networks include many calcium and calcium/calmodulin-binding transcription factors. In this review, we focus on the functions of a family of highly conserved calcium/calmodulin-binding Transcription Factors (TFs) called calmodulin-binding transcription activators (CAMTAs) in plants. This family of transcription factors was first identified in plants as calmodulin-binding proteins and discovered later in animals. Genetic studies in the model plant Arabidopsis and crop plants such as rice uncovered crucial roles for CAMTAs in modulating plant responses to both biotic and abiotic stresses. Depending on the type of stress, CAMTAs function as either positive or negative regulators for plant growth and stress responses. Arabidopsis CAMTA3 is the most studied member of CAMTA proteins. It modulates the expression of many key genes involved in different hormone signaling pathways and plays a central role in biotic (bacterial, fungal, and viral pathogens) as well as abiotic (cold, drought, salt, and wounding/mechanical) stress responses. Studies with many point, truncated, loss-of-function, and suppressor mutants of CAMTA3 revealed a complex regulation of its function. Here we summarize the advances in the study of the CAMTA family with a focus on CAMTA3. Further, we identify critical gaps in furthering our understanding of the molecular mechanisms by which these TFs function and discuss potential opportunities to engineer them for biotechnological applications to develop stress-resilient crops.

Segmentation of Low-Light Optical Coherence Tomography Angiography Images under the Constraints of Vascular Network Topology.

Optical coherence tomography angiography (OCTA) offers critical insights into the retinal vascular system, yet its full potential is hindered by challenges in precise image segmentation. Current methodologies struggle with imaging artifacts and clarity issues, particularly under low-light conditions and when using various high-speed CMOS sensors. These challenges are particularly pronounced when diagnosing and classifying diseases such as branch vein occlusion (BVO). To address these issues, we have developed a novel network based on topological structure generation, which transitions from superficial to deep retinal layers to enhance OCTA segmentation accuracy. Our approach not only demonstrates improved performance through qualitative visual comparisons and quantitative metric analyses but also effectively mitigates artifacts caused by low-light OCTA, resulting in reduced noise and enhanced clarity of the images. Furthermore, our system introduces a structured methodology for classifying BVO diseases, bridging a critical gap in this field. The primary aim of these advancements is to elevate the quality of OCTA images and bolster the reliability of their segmentation. Initial evaluations suggest that our method holds promise for establishing robust, fine-grained standards in OCTA vascular segmentation and analysis.

A review of mechanically stimulated bioluminescence of marine plankton and its applications

Bioluminescence is ubiquitous in marine ecosystems and found in uni- and multicellular organisms. Bioluminescent displays can be used to deter predators, attract mates, and lure and hunt prey. Mechanically stimulated flash kinetics of zooplankton and dinoflagellates are life stage-dependent and species-specific, and could prove effective at identification and monitoring biodiversity in bioluminescent species. Here, we provide a comprehensive review of mechanically stimulated bioluminescence for the main dinoflagellate and zooplankton clades in marine environments and assemble known flash kinetics and spectral emission data. Instruments and methods used in measuring bioluminescence are also discussed. Applications, research gaps, perspectives, and biases in approaches to studying bioluminescence are identified. Moreover, emission kinetics of most zooplankton are very poorly known and constitute a critical gap. Lastly, available knowledge is interpreted in terms of potential future changes in global bioluminescence driven by climate change.

Emerging Technologies Revolutionising Public Procurement: Insights from Comprehensive Bibliometric Analysis

This study aims to deepen our understanding of the evolving landscape of public procurement (PP) and emerging technologies (ET). It addresses the critical gap in scholarly production analysis, author collaborations, and thematic trends in PP and ET, providing valuable insights for researchers, policymakers, and practitioners. Employing a methodology inspired by prior research, this study leveraged advanced bibliometric tools, including Studio R and the Biblioshiny app, for data retrieval, processing, and visualization. This approach facilitated co-citation, source coupling, and network collaboration analyses. Thematic maps and correspondence analysis were used to explore research themes in depth. The findings highlight a significant surge in research interest in the integration of ET in PP since 2018, underlining the growing importance of technology-driven advancements in the field. These insights are vital for shaping policy decisions, spurring innovation, and enhancing PP processes’ efficiency, transparency, and sustainability, which are crucial for effective governance and economic growth.

Economic Dispatch Optimization Strategies and Problem Formulation: A Comprehensive Review

Economic Dispatch Problems (EDP) refer to the process of determining the power output of generation units such that the electricity demand of the system is satisfied at a minimum cost while technical and operational constraints of the system are satisfied. This procedure is vital in the efficient energy management of electricity networks since it can ensure the reliable and efficient operation of power systems. As power systems transition from conventional to modern ones, new components and constraints are introduced to power systems, making the EDP increasingly complex. This highlights the importance of developing advanced optimization techniques that can efficiently handle these new complexities to ensure optimal operation and cost-effectiveness of power systems. This review paper provides a comprehensive exploration of the EDP, encompassing its mathematical formulation and the examination of commonly used problem formulation techniques, including single and multi-objective optimization methods. It also explores the progression of paradigms in economic dispatch, tracing the journey from traditional methods to contemporary strategies in power system management. The paper categorizes the commonly utilized techniques for solving EDP into four groups: conventional mathematical approaches, uncertainty modelling methods, artificial intelligence-driven techniques, and hybrid algorithms. It identifies critical research gaps, a predominant focus on single-case studies that limit the generalizability of findings, and the challenge of comparing research due to arbitrary system choices and formulation variations. The present paper calls for the implementation of standardized evaluation criteria and the inclusion of a diverse range of case studies to enhance the practicality of optimization techniques in the field.