Costing Billions Of Dollars Research Articles

The perception and evolution of flagellin, cold shock protein and elongation factor Tu from vector-borne bacterial plant pathogens.

Vector-borne bacterial pathogens cause devastating plant diseases that cost billions of dollars in crop losses worldwide. These pathogens have evolved to be host- and vector-dependent, resulting in a reduced genome size compared to their free-living relatives. All known vector-borne bacterial plant pathogens belong to four different genera: 'Candidatus Liberibacter', 'Candidatus Phytoplasma', Spiroplasma and Xylella. To protect themselves against pathogens, plants have evolved pattern recognition receptors that can detect conserved pathogen features as non-self and mount an immune response. To gain an understanding of how vector-borne pathogen features are perceived in plants, we investigated three proteinaceous features derived from cold shock protein (csp22), flagellin (flg22) and elongation factor Tu (elf18) from vector-borne bacterial pathogens as well as their closest free-living relatives. In general, vector-borne pathogens have fewer copies of genes encoding flagellin and cold shock protein compared to their closest free-living relatives. Furthermore, epitopes from vector-borne pathogens were less likely to be immunogenic compared to their free-living counterparts. Most Liberibacter csp22 and elf18 epitopes do not trigger plant immune responses in tomato or Arabidopsis. Interestingly, csp22 from the citrus pathogen 'Candidatus Liberibacter asiaticus' triggers immune responses in solanaceous plants, while csp22 from the solanaceous pathogen 'Candidatus Liberibacter solanacearum' does not. Our findings suggest that vector-borne plant pathogenic bacteria evolved to evade host recognition.

Big Science and the Universe: mega-projects in astronomy

Abstract Astronomy studies the constituents of the Universe and seeks to understand physics at the largest scales. The Universe is the ultimate big physics laboratory – we can observe but not influence. Today Astronomy is a cooperative, international field of ‘Big Science’. Our largest telescopes cost billions of dollars. Each telescope has systems specialised in detecting signals from one part of the electromagnetic spectrum or alternatively, in responding to particle streams or gravitational wave phenomena.

Evaluating Health Canada’s Proposed Front-of-Pack Labelling Policy: Burden of Healthcare Use Attributed to Health Canada’s Proposed Front-of-Pack Labelling Policy

The economic burden of disease due to consumption of poor diet costs billions of dollars annually to the Canadian healthcare system. This project is in response to the growing interest in the use of nutrient profiling systems on front-of-package (FOP) nutrition labels in Canada. There is a high demand for simplified healthy eating messaging. Health Canada announced improving food environments is a priority in the Healthy Eating Strategy and will implement the mandatory FOP label policy in 2026. Two Ontario-based studies examined the impacts of health behaviors (smoking, alcohol consumption, poor diet and physical inactivity) attributed to hospital bed-days and costs. They found 36% of hospital use was attributable to all health behaviours resulting in 900,000 bed-days annually. Between 2004-2013, 22% of healthcare costs totalling $89.4 billion were attributable to the four health behaviours. These are likely underestimates as diet was measured based on fruit/vegetables frequency. The objective is to evaluate Health Canada’s Proposed FOP policy on hospital bed-days. Detailed dietary data from the nationally representative cross-sectional national survey data Canadian Community Heath Survey-Nutrition 2004 linked to Discharge Abstract Database (2004-14) for hospital use will be used for analysis. Data-driven methodology will be employed and development of multivariable risk models using zero-inflated negative binomial regression with multiple exposure groups to test a dose-response. Results are undergoing, will be ready September 2024. This is the first study to analyze Health Canada’s proposed FOP policy related to economic outcomes. These findings will provide evidence-based recommendations to policymakers on nutrition policy.

Pathogenicity and transcriptomic resolution in dengue virus serotype 1 infected AGB6 mouse model.

Dengue viruses are the causative agents of dengue fever, dengue hemorrhagic fever, and dengue shock syndrome, which are mainly transmitted by Aedes aegypti and Aedes albopictus mosquitoes, and cost billions of dollars annually in patient treatment and mosquito control. Progress in understanding DENV pathogenesis and developing effective treatments has been hampered by the lack of a suitable small pathological animal model. Until now, the candidate vaccine, antibody, and drug for DENV have not been effectively evaluated. Here, we analyzed the pathogenicity of DENV-1 in type Ⅰ and type Ⅱ interferon receptor-deficient mice (AGB6) by intraperitoneal inoculation. Infected mice showed such neurological symptoms as opisthotonus, hunching, ataxia, and paralysis of one or both hind limbs. Viremia can be detected 3 days after infection. It was found that 6.98 × 103 PFU or higher dose induce 100% mortality. To determine the cause of lethality in mice, heart, liver, spleen, lung, kidney, intestinal, and brain tissues were collected from AGB6 mice (at an attack dose of 6.98 × 103 PFU) for RNA quantification, and it was found that the viral load in brain tissues peaked at moribund states (14 dpi) and that the viral loads in the other tissues and organs decreased over time. Significant histopathologic changes were observed in brain tissue (hippocampal region and cerebral cortex). Hematological analysis showed hemorrhage and hemoconcentration in infected mice. DENV-1 can be isolated from the brain tissue of infected mice. Subsequently, brain tissue transcriptome sequencing was performed to assess host response characteristics in infected AGB6 mice. Transcriptional patterns in brain tissue suggest that aberrant expression of pro-inflammatory cytokines induces antiviral responses and tissue damage. Screening of hub genes and their characterization by qPCR and ELISA, it was hypothesized that IL-6 and IFN-γ might be the key factors in dengue virus-induced inflammatory response. Therefore, this study provides an opportunity to decipher certain aspects of dengue pathogenesis further and provides a new platform for drug, antibody, and vaccine testing.

Efavirenz: New Hope in Cancer Therapy.

Despite extensiveresearch directedat preventive and treatment strategies, breast cancer remains the leading cause of cancer-related mortality among women. This necessitates the development of a new medication aimed at increasing patient survival and quality of life. A new drug's development from the ground up can cost billions of dollars and take up to ten or more years. Because much of the required safety and pharmacokinetic data are already available from earlier trials, repurposing medications usually results in lower costs and shorter turnaround times. Many antiretroviral medications target biological pathways and enzymes associated with cancer, which becomes an ideal option for repurposing as anticancer medications. Efavirenz is an antiretroviral medication that targets molecular pathways implicated in the growth of breast cancer, such as LINE-1 (long interspersed nuclear elements-1) suppression, hence lowering the proliferation of breast cancer cells and exhibiting anti-cancer properties. Additionally, it suppresses the fatty acid synthase gene and other important genes related to fat metabolism, impairing mitochondrial activity and making cancer cells deprived of energy. Efavirenz also inhibits cancer-initiating stem cells, promotes differentiation, and prevents recurrence. Additionally, efavirenz promotes oxidative damage bythe formation of superoxide in cancer cells. In addition to its anti-cancer properties, efavirenz has the advantage of being a well-established and relatively inexpensive medication with a favorable safety profile. If proven effective, efavirenz could offer a cost-effective therapeutic option, which is an intriguing direction that warrants further investigation.

From Drug Discovery to Drug Approval: A Comprehensive Review of the Pharmacogenomics Status Quo with a Special Focus on Egypt.

Pharmacogenomics (PGx) is the hope for the full optimization of drug therapy while minimizing the accompanying adverse drug events that cost billions of dollars annually. Since years before the century, it has been known that inter-individual variations contribute to differences in specific drug responses. It is the bridge to what is well-known today as "personalized medicine". Addressing the drug's pharmacokinetics and pharmacodynamics is one of the features of this science, owing to patient characteristics that vary on so many occasions. Mainly in the liver parenchymal cells, intricate interactions between the drug molecules and enzymes family of so-called "Cytochrome P450" occur which hugely affects how the body will react to the drug in terms of metabolism, efficacy, and safety. Single nucleotide polymorphisms, once validated for a transparent and credible clinical utility, can be used to guide and ensure the succession of the pharmacotherapy plan. Novel tools of pharmacoeconomics science are utilized extensively to assess cost-effective pharmacogenes preceding the translation to the bedside. Drug development and discovery incorporate a drug-gene perspective and save more resources. Regulations and laws shaping the clinical PGx practice can be misconceived; however, these pre-/post approval processes ensure the product's safety and efficacy. National and international regulatory agencies seek guidance on maintaining conduct in PGx practice. In this patient-centric era, social and legal considerations manifest in a way that makes them unavoidable, involving patients and other stakeholders in a deliberate journey toward utmost patient well-being. In this comprehensive review, we contemporarily addressed the scientific leaps in PGx, along with various challenges that face the proper implementation of personalized medicine in Egypt. These informative insights were drawn to serve what the Egyptian population, in particular, would benefit from in terms of knowledge and know-how while maintaining the latest global trends. Moreover, this review is the first to discuss various modalities and challenges faced in Egypt regarding PGx, which we believe could be used as a pilot piece of literature for future studies locally, regionally, and internationally.

ENHANCING DRUG DISCOVERY THROUGH A META-PATH BASED OVERSAMPLING APPROACH FOR IMBALANCED DATA

This study proposes a new method to improve the efficiency of drug discovery by repurposing existing drugs, aiming to reduce the time and costs associated with traditional drug development processes, which can span 10 to 15 years and cost billions of dollars. Current approaches focus on leveraging heterogeneous data, such as drug-protein and disease-protein interactions, to construct complex networks that link drugs, proteins, and diseases. However, a significant challenge is the imbalance in data, where numerous unconfirmed potential drug-disease interactions (the majority class) outnumber approved drugs (the minority class), severely impacting the predictive performance of machine learning models. Previous attempts to address this issue have shown limited success. This study introduces a novel approach that integrates meta-paths in heterogeneous information networks with data balancing techniques to tackle this imbalance. Experimental results demonstrate that the proposed method enhances model performance and reliability in identifying new relationships between drugs and diseases. This research represents a promising advancement by leveraging network-based strategies and data balancing techniques to facilitate the rediscovery of drug applications, thereby potentially revolutionizing the pharmaceutical industry’s approach to drug development.

The Fences: A webcomic on collective debt and ruination in Paraguay

AbstractThe Fences: A webcomic on collective debt and ruination in Paraguay is a production of the Australian‐Paraguayan comics studio CómicsClub comprised of anthropologist and writer Caroline E. Schuster and artists Enrique Bernardou and David Bueno. This webcomic began as an anthropological fieldwork study of climate financing ‐ that is, novel financial arrangements that address the emerging weather‐related risks to human communities of global warming, deforestation, and mass extinction. As we enter an era of ‘global weirding’ characterised by strange and extreme weather, insurance companies have welcomed the opportunity to cast themselves as financial ‘first responders,’ offering coverage for drought, floods, bushfires, and other so‐called secondary perils that cost billions of dollars annually in property damage and reconstruction costs. The webcomic tells this story through interactive sequential art. Through branching timelines and ‘what if?’ scenarios, the project recuperates a critical speculative imagination and offers alternatives to financial modes of ‘buying the future.’

A novel method for detecting credit card fraud problems.

Credit card fraud is a significant problem that costs billions of dollars annually. Detecting fraudulent transactions is challenging due to the imbalance in class distribution, where the majority of transactions are legitimate. While pre-processing techniques such as oversampling of minority classes are commonly used to address this issue, they often generate unrealistic or overgeneralized samples. This paper proposes a method called autoencoder with probabilistic xgboost based on SMOTE and CGAN(AE-XGB-SMOTE-CGAN) for detecting credit card frauds.AE-XGB-SMOTE-CGAN is a novel method proposed for credit card fraud detection problems. The credit card fraud dataset comes from a real dataset anonymized by a bank and is highly imbalanced, with normal data far greater than fraud data. Autoencoder (AE) is used to extract relevant features from the dataset, enhancing the ability of feature representation learning, and are then fed into xgboost for classification according to the threshold. Additionally, in this study, we propose a novel approach that hybridizes Generative Adversarial Network (GAN) and Synthetic Minority Over-Sampling Technique (SMOTE) to tackle class imbalance problems. Our two-phase oversampling approach involves knowledge transfer and leverages the synergies of SMOTE and GAN. Specifically, GAN transforms the unrealistic or overgeneralized samples generated by SMOTE into realistic data distributions where there is not enough minority class data available for GAN to process effectively on its own. SMOTE is used to address class imbalance issues and CGAN is used to generate new, realistic data to supplement the original dataset. The AE-XGB-SMOTE-CGAN algorithm is also compared to other commonly used machine learning algorithms, such as KNN and Light GBM, and shows an overall improvement of 2% in terms of the ACC index compared to these algorithms. The AE-XGB-SMOTE-CGAN algorithm also outperforms KNN in terms of the MCC index by 30% when the threshold is set to 0.35. This indicates that the AE-XGB-SMOTE-CGAN algorithm has higher accuracy, true positive rate, true negative rate, and Matthew's correlation coefficient, making it a promising method for detecting credit card fraud.

Visible-light photoactivated proanthocyanidin and kappa-carrageenan coating with anti-adhesive properties against clinically relevant bacteria

The increase of bacterial resistance to antibiotics is a growing concern worldwide and the search for new therapies could cost billions of dollars and countless lives. Inert surfaces are major sources of contamination due to easier adhesion and formation of bacterial biofilms, hindering the disinfection process. Therefore, the objective of this study was to develop a photoactivatable and anti-adhesive kappa-carrageenan coating using proanthocyanidin as a photosensitizer. The complete reduction (>5-log10 CFU/cm3) of culturable cells of Staphylococcus aureus, Escherichia coli and Pseudomonas aeruginosa pathogens was achieved after 30 min of exposure to visible light (420 nm; 30 mW/cm2) with 5 % (w/v) of the photosensitizer. Cell membrane damage was confirmed by measuring potassium leakage, epifluorescence microscopy and bacterial motility analysis. Overall, visible light irradiation on coated solid surfaces mediated by proanthocyanidin showed no cytotoxicity and inactivated clinically important pathogens through the generation of reactive oxygen species, inhibiting bacterial initial adhesion. The developed coating is a promising alternative for a wide range of applications related to surface disinfection and food biopreservation.

Assessment of catastrophic forgetting in continual credit card fraud detection

The volume of e-commerce continues to increase year after year. Buying goods on the internet is easy and practical, and took a huge boost during the lockdowns of the Covid crisis. However, this is also an open window for fraudsters and the corresponding financial loss costs billions of dollars. In this paper, we study e-commerce credit card fraud detection, in collaboration with our industrial partner, Worldline. Transactional companies are more and more dependent on machine learning models such as deep learning anomaly detection models, as part of real-world fraud detection systems (FDS). We focus on continual learning to find the best model with respect to two objectives: to maximize the accuracy and to minimize the catastrophic forgetting phenomenon. For the latter, we proposed an evaluation procedure to quantify the forgetting in data streams with delayed feedback: the plasticity/stability visualization matrix. We also investigated six strategies and 13 methods on a real-size case study including five months of e-commerce credit card transactions. Finally, we discuss how the trade-off between plasticity and stability is set, in practice, in the case of FDS.

The Role of Estrogen Signaling and Exercise in Drug Abuse: A Review.

Discovering how sex differences impact the efficacy of exercise regimens used for treating drug addiction is becoming increasingly important. Estrogen is a hormone believed to explain a large portion of sex differences observed during drug addiction, and why certain exercise regimens are not equally effective between sexes in treatment. Addiction is currently a global hindrance to millions, many of whom are suffering under the influence of their brain's intrinsic reward system coupled with external environmental factors. Substance abuse disorders in the U.S. alone cost billions of dollars annually. Studies involving the manipulation of estrogen levels in female rodents, primarily via ovariectomy, highlight its impact regarding drug addiction. More specifically, female rodents with higher estrogen levels during the estrus phase increase cocaine consumption, whereas those in the non-estrus phase (low estrogen levels) decrease cocaine consumption. If estrogen is reintroduced, self-administration increases once again. Exercise has been proven to decrease relapse tendency, but its effect on estrogen levels is not fully understood. Such findings and results discussed in this review suggest that estrogen influences the susceptibility of females to relapse. Therefore, to improve drug-abuse-related treatment, exercise regimens for females should be generated based on key sex differences with respect to males.

Africa’s Railway Renaissance: Continental Aspirations vs. National Realities

As per the African Union’s 2016 prescription, most new rail projects in Africa are greenfield standard gauge railways (SGR) that cost billions of dollars, which, if successfully implemented and well run, can offer better services than road transport. However, to be viable, SGR investments must have adequate freight traffic, provide reliable services, and charge much lower tariffs than the trucking industry. This means that SGRs will very likely have to be subsidized, which most African governments cannot afford to do. Based on the rail economics for SGRs, this article argues that it would be more feasible for most African countries to invest in upgrading and expanding brownfield rail infrastructure in the short-to-medium term. Using Kenya’s Nairobi-Naivasha SGR as a case study, this article contextualizes and critically analyzes the greenfield vs. brownfield rail infrastructure debate that underpins Africa’s railway renaissance and demonstrates that SGR investments may not necessarily be the most feasible rail projects for developing African economies.

Virulence Mechanisms of Staphylococcal Animal Pathogens.

Staphylococci are major causes of infections in mammals. Mammals are colonized by diverse staphylococcal species, often with moderate to strong host specificity, and colonization is a common source of infection. Staphylococcal infections of animals not only are of major importance for animal well-being but have considerable economic consequences, such as in the case of staphylococcal mastitis, which costs billions of dollars annually. Furthermore, pet animals can be temporary carriers of strains infectious to humans. Moreover, antimicrobial resistance is a great concern in livestock infections, as there is considerable antibiotic overuse, and resistant strains can be transferred to humans. With the number of working antibiotics continuously becoming smaller due to the concomitant spread of resistant strains, alternative approaches, such as anti-virulence, are increasingly being investigated to treat staphylococcal infections. For this, understanding the virulence mechanisms of animal staphylococcal pathogens is crucial. While many virulence factors have similar functions in humans as animals, there are increasingly frequent reports of host-specific virulence factors and mechanisms. Furthermore, we are only beginning to understand virulence mechanisms in animal-specific staphylococcal pathogens. This review gives an overview of animal infections caused by staphylococci and our knowledge about the virulence mechanisms involved.

Dopaminergic dysfunction: Role for genetic & epigenetic testing in the new psychiatry

Reward Deficiency Syndrome (RDS), particularly linked to addictive disorders, costs billions of dollars globally and has resulted in over one million deaths in the United States (US). Illicit substance use has been steadily rising and in 2021 approximately 21.9% (61.2 million) of individuals living in the US aged 12 or older had used illicit drugs in the past year. However, only 1.5% (4.1 million) of these individuals had received any substance use treatment. This increase in use and failure to adequately treat or provide treatment to these individuals resulted in 106,699 overdose deaths in 2021 and increased in 2022. This article presents an alternative non-pharmaceutical treatment approach tied to gene-guided therapy, the subject of many decades of research. The cornerstone of this paradigm shift is the brain reward circuitry, brain stem physiology, and neurotransmitter deficits due to the effects of genetic and epigenetic insults on the interrelated cascade of neurotransmission and the net release of dopamine at the Ventral Tegmental Area -Nucleus Accumbens (VTA-NAc) reward site. The Genetic Addiction Risk Severity (GARS) test and pro-dopamine regulator nutraceutical KB220 were combined to induce “dopamine homeostasis” across the brain reward circuitry. This article aims to encourage four future actionable items: 1) the neurophysiologically accurate designation of, for example, “Hyperdopameism /Hyperdopameism” to replace the blaming nomenclature like alcoholism; 2) encouraging continued research into the nature of dysfunctional brainstem neurotransmitters across the brain reward circuitry; 3) early identification of people at risk for all RDS behaviors as a brain check (cognitive testing); 4) induction of dopamine homeostasis using “precision behavioral management” along with the coupling of GARS and precision Kb220 variants; 5) utilization of promising potential treatments include neuromodulating modalities such as Transmagnetic stimulation (TMS) and Deep Brain Stimulation(DBS), which target different areas of the neural circuitry involved in addiction and even neuroimmune agents like N-acetyl-cysteine.

MadDroid: malicious adware detection in Android using deep learning

ABSTRACT The majority of Android smartphone apps are free. When an application is used, advertisements are displayed in order to generate revenue. Adware-related advertising fraud costs billions of dollars each year. Adware is a form of advertising-supported software, that turns into malware when it automatically installs additional malware and adware on an infected device, steals user data, and exposes other vulnerabilities. Better techniques for detecting adware are needed due to the evolution of increasingly sophisticated evasive malware, particularly adware. Even though significant work has been done in the area of malware detection, the adware family has received very little attention. This paper presents a deep learning-based scheme called MadDroid to detect malicious Android adware based on static features. Moreover, this paper delivers a novel dataset that consists of malicious Adware and benign applications and an optimised Convolutional neural network (CNN) for detecting Adware infected by malware based on the permissions of the applications. The results indicate an average classification rate that is higher than previous work for individual adware family classification in terms of well-known evaluation metrics.

Experimental study of repairing rust-cracked reinforced concrete by electrophoresis deposition method

The rusting and cracking of reinforced concrete structures cost billions of dollars around the world every year, and there is a lack of targeted repair methods. In this study, we first put forward an electrophoretic deposition repair method using a high-performance colloid solution containing water-based cationic epoxy resin. The effect of electrophoretic deposition on rust-cracked reinforced concrete was studied. Then, the mesoscopic and microscopic morphologies of the repaired concrete surface, cracks, and defects at the interface of reinforced concrete were examined. Finally, the mechanism of electrodeposition was discussed, and the related reactions were summarized (ionization, electrolysis, electrophoresis, electrodeposition, electroosmosis, and curing reaction). The results show that electrophoretic deposition successfully increased the internal compactness, unconfined compressive strength, and split tensile strength of reinforced concrete, while greatly reducing the water absorption and the accelerated carbonation depth.

Experimental analysis of the impact of ionic concentration and type on shale’s stability: dilute vs. concentrated salt solutions

ABSTRACT Wellbore instability in shale formations is one of the most bothersome problems leading to significant changes in shale’s petrophysical, mechanical, and chemical properties, and could cost billions of dollars annually. Drilling fluid’s ionic composition is one of the factors affecting wellbore stability. This paper investigates the impact of chemical osmosis, ionic diffusion, and diffusion osmosis on the stability of shale, identify the critical salt concentration, and examine the impact of ionic type and concentration on shale’s stability. Experimental methods include utilisation of two different shale cores (I and II), in which each core is cut into several samples, to conduct linear expansion and gravimetric measurement tests using different salt solutions (KCl, NaCl, and CaCl2) of various salt concentrations. Results show that the critical salt concentrations of shale I and II is 8 w/w%. Chemical osmosis is found to be a reliable method for water extraction out of shale if the critical salt concentration value is not surpassed. Beyond this value, ionic diffusion and diffusion osmosis in shale I and II were adversely affecting shale’s stability through swelling. The swelling and gravimetric ions and water uptake tests showed that shale is a leaky semi-permeable membrane, and that chemical osmosis could be jeopardised by ionic transport into shale. In this study, the cation type (Na+, K+, Ca+2) that makes up the salt was varied. The impact of cation type on the stability of shale was clear as the anion type was fixed. Since both cations and anions tend to diffuse into shale in the presence of a concentration gradient, it is proposed for future work to study the combined impact of cation and anion types on shale’s stability by varying the anion and cation types.

Surrogate Safety Evaluation at Uncontrolled Intersection in Non-Lane Base Traffic Conditions

Every year, road accidents cost billions of dollars and injure millions of people around the world. The current study implements traffic conflict techniques to examine vehicular safety at three-arm uncontrolled intersections. The traffic conflict technique is designed to be proactive, not solely rely on crashes, and require shorter observation time periods to create acceptable safety assessments. Various surrogate safety measures based on spatial and temporal proximity between road users, like Post Encroachment Time (PET), Time to Collision (TTC), Deceleration Rate (DR), etc., are being used to study road safety. The study focused on crossing conflicts by right-turning and through traffic, as they are considered severe among other conflicts. PET and conflicting vehicle speeds in through traffic are used to determine critical conflicts. However, Delta V and Encroachment Time (ET) are taken as surrogate indicators to identify severity levels of through and right turning movements, respectively, using the clustering technique..

PESA Australia Business Environment Review 2022

The energy industry has experienced continued uncertainty in the last 12 months driven by the ongoing impact of the war in Ukraine, China’s continued COVID crisis and the energy transformation. While the impacts of these events have varied across the world regional responses have focussed on energy security, affordability, and decarbonisation. While this has resulted in a greater focus on policy, investment decision making and operational discipline, it has also resulted in discussions at COP27 and DAVOS on energy poverty and the need to ensure equitable access to affordable energy. One important ramification of this uncertainty was the record global capital investment in energy transition activities particularly in renewable energy, electrified transport, and energy storage. From an Australian perspective, against the backdrop of a revised national emissions target and an east coast energy crisis, industry participants attempted to progress capital projects to support domestic energy demand–supply requirements. However, these ambitions were challenged by energy policies, economics, and social activism influences. Consequently, important projects designed to address domestic gas supply constraints were either suspended or experienced postponement of final investment decisions. Furthermore, through the vehicle of mergers and acquisitions, new participants entered the Australian market as established upstream operators actively sort to increase sustainable energy investments through ‘new energy’ business models in the form of portfolio consolidation, divestment, and defensibility as part of the energy transition pursuit and carbon abatement. All of which fosters long-term value creation through the ESG growth space as renewable technologies such as Carbon Capture Utilisation and Storage, experienced significant investment within the local industry. Finally, the unavoidable maturation of oil and gas assets across the nation has also accelerated activities across the Australian market in preparation for the imminent decommissioning wave, which is anticipated to cost billions of dollars over the next decade.