Digital Commons Network^™

Advancing Sustainable Malting Practices: Aquaporins As Potential Breeding Targets For Improved Water Uptake During Controlled Germination Of Barley (Hordeum Vulgare L.), Clare E. O’Lone, Angéla Juhász, Mitchell Nye-Wood, David Moody, Hugh Dunn, Jean P. Ral, Michelle L. Colgrave

Research outputs 2022 to 2026

The conversion of raw barley (Hordeum vulgare L.) to malt requires a process of controlled germination, where the grain is submerged in water to raise the moisture content to > 40%. The transmembrane proteins, aquaporins, influence water uptake during the initial stage of controlled germination, yet little is known of their involvement in malting. With the current focus on sustainability, understanding the mechanisms of water uptake and usage during the initial stages of malting has become vital in improving efficient malting practices. In this study, we used quantitative proteomics analysis of two malting barley genotypes demonstrating differing water-uptake phenotypes in the …

Cellular Structure Mediated Dislocation Regulation In Additively Manufactured Refractory High Entropy Alloy, Changxi Liu, Lechun Xie, Lai-Chang Zhang, Liqiang Wang

Research outputs 2022 to 2026

A Ti1.5Nb1Ta0.5Zr1Mo0.5 (TNTZM) refractory high entropy alloy (HEA) with a cellular structure was successfully fabricated by laser powder bed fusion (L-PBF). Compression testing and cyclic deformation testing results revealed that, in the cellular structure, the cell walls could store dislocations. Furthermore, the local chemical order (LCO) plays a crucial role in controlling dislocations within the cell wall region. The LCO not only facilitates dislocation slip but also generates additional lattice distortion upon stress-induced LCO destruction to enable dislocation pinning. This work offers novel insights into the microstructure of additively manufactured refractory HEAs and uncovers a distinct dislocation regulation mechanism.

Enhancing Energy Efficiency With A Dynamic Trust Measurement Scheme In Power Distribution Network, Yilei Wang, Xin Sun, Guiping Zheng, Ahmar Rashid, Sami Ullah, Hisham Alasmary, Muhammad Waqas

Research outputs 2022 to 2026

The application of Intelligent Internet of Things (IIoT) in constructing distribution station areas strongly supports platform transformation, upgrade, and intelligent integration. The sensing layer of IIoT comprises the edge convergence layer and the end sensing layer, with the former using intelligent fusion terminals for real-time data collection and processing. However, the influx of multiple low-voltage in the smart grid raises higher demands for the performance, energy efficiency, and response speed of the substation fusion terminals. Simultaneously, it brings significant security risks to the entire distribution substation, posing a major challenge to the smart grid. In response to these challenges, a …

Perceived Skill Outcomes Among Coursework And Research Graduates And Evolution Over Time, Denise Jackson, Ian Li

Research outputs 2022 to 2026

This study explores perceived skill outcomes among graduates of 39 Australian higher education institutions in the short- to medium-term after course completion. While acknowledging important dimensions of graduate employability beyond the skills-based approach, we investigated graduate perspectives on their industry-relevant skill outcomes from university, in preparation for employment. Using national data, we build on earlier research by examining the viewpoints of 24,044 research and coursework graduates, at all levels, at six months and three years post-graduation. We found that as graduates progressed in their careers, perceived skill outcomes from university became less favourable, particularly among coursework graduates. Further, we observed …

The Association Between Plasma Igg N-Glycosylation And Neonatal Hypoxic–Ischemic Encephalopathy: A Case-Control Study, Liangao Wang, Xinxia Lu, Meng Wang, Xuezhen Zhao, Peirui Li, Haitao Zhang, Qingtang Meng, Yujing Zhang, Yingjie Wang, Wei Wang, Long Ji, Haifeng Hou, Dong Li

Research outputs 2022 to 2026

Introduction: Hypoxic-ischemic encephalopathy (HIE) is one of severe neonatal brain injuries, resulting from inflammation and the immune response after perinatal hypoxia and ischemia. IgG N-glycosylation plays a crucial role in various inflammatory diseases through mediating the balance between anti-inflammatory and pro-inflammatory responses. This study aimed to explore the effect of IgG N-glycosylation on the development of HIE. Methods: This case-control study included 53 HIE patients and 57 control neonates. An ultrahigh-performance liquid chromatography (UPLC) method was used to determine the features of the plasma IgG N-glycans, by which 24 initial glycan peaks (GPs) were quantified. Multivariate logistic regression was used …

Expanding Australia's Defence Capabilities For Technological Asymmetric Advantage In Information, Cyber And Space In The Context Of Accelerating Regional Military Modernisation: A Systemic Design Approach, Pi-Shen Seet, Anton Klarin, Janice Jones, Michael N. Johnstone, Violetta Wilk, Stephanie Meek, Summer O'Brien

Research outputs 2022 to 2026

Introduction. The aim of the project was to conduct a systemic design study to evaluate Australia'sopportunities and barriers for achieving a technological advantage in light of regional military technological advancement. It focussed on the three domains of (1) cybersecurity technology, (2) information technology, and (3) space technology.

Research process. Employing a systemic design approach, the study first leveraged scientometric analysis, utilising informetric mapping software (VOSviewer) to evaluate emerging trends and their implications on defence capabilities. This approach facilitated a broader understanding of the interdisciplinary nature of defence technologies, identifying key areas for further exploration. The subsequent survey study, engaging 828 …

A Bi-Functional Air Electrode Developed From A Dual-Mof Strategy For High-Performance Zinc-Air Batteries, Yasir Arafat, Muhammad Rizwan Azhar, Yijun Zhong, Xiaomin Xu, Moses O. Tadé, Zongping Shao

Research outputs 2022 to 2026

A durable, high-performing and cost-effective bi-functional catalyst toward oxygen reduction/evolution reactions (ORR/OER) is the key towards the practical application of Zn-air batteries (ZABs). Here, we report a new concept of combining pristine and carbonized MOFs for developing a bifunctional electrocatalyst for ZABs, where the pristine MOF acts as a support for the OER catalysts and the carbonized MOF acts as the ORR catalyst and enhances the electronic conductivity. By electroless NiP-plating over the surface of the Fe-containing 3D MOF (MIL-100), the catalyst shows superior activity for the OER, delivering a current density of 10 mA cm⁻² at an overpotential …

Blind Source Separation And Denoising Of Underwater Acoustic Signals, Ruba Zaheer, Iftekhar Ahmad, Quoc Viet Phung, Daryoush Habibi

Research outputs 2022 to 2026

Due to the addition of new underwater vessels and other natural noise contributors, the underwater environment is becoming congested and noisy. Undersea monitoring sonobuoys receive multiple mixed acoustic signals from different vessels that need to be separated and identified in the presence of underwater noise (UWN). It is extremely challenging to separate highly correlated acoustic signals from a noisy mixture without prior knowledge of mixing process and propagation channel. Also, in many cases, the separated signals from the noisy mixture doesn’t accurately describe the correct signal. This study proposes a novel multi-stage method to separate underwater acoustic source signals from …

Characteristics Of Proliferating Cryptocurrencies: A Comparative Study Between Stable And Non-Stable Cryptocurrencies, Cheuk Hang Au, Gerrard Li, Wen Shou Hsu, Po Hsu Shieh, Kris M.Y. Law

Research outputs 2022 to 2026

The emergence of cryptocurrencies has caught the attention worldwide. Some parties have considered issuing cryptocurrencies an excellent opportunity to raise capital and other businesses. However, the factors that foster the proliferation of cryptocurrency are not fully explored. This paper documented a comparative case study of USDT (a successful stablecoin) and EOS (a successful non-stable cryptocurrency). Based on our findings and previous literature, we suggested a Technology-Institution-Market (TIM) framework for cryptocurrency proliferation. We also elaborated on previous FinTech product development and adoption theories and provided some practical implications for cryptocurrency investors, issuers and regulators.

Decision-Making In Balancing Fire Safety Hazards Against Security Threats Within The Built Environment, Richard Kathage, David J. Brooks, Michael Coole

Research outputs 2022 to 2026

The built environment faces challenges from fire hazards and threats by malicious actors. Risks presented from these hazards and threats are managed through the practices of fire safety and physical security. Whilst distinct disciplines, both impact the built environment systems, resulting in potential conflict. To manage this conflict, a complex process is required. Through the framework of Governmentality, using a mixed methods approach, the study explored the process which fire safety engineers and security practitioners undertake to manage this conflict. The study produced a conceptual model that explains how practitioners operate and manage risk associated with fire safety hazards and …

Radiation Damage Simulation Using Molecular Dynamics In Ni-Based Alloy, Yanxin Shen, Yue Yang, Xuelian Ou, Peng Wang, Zhenjiang You, Xiaofeng Tian

Research outputs 2022 to 2026

In the present study, we investigated the irradiation-induced induction in Ni80Cr20, Ni80Fe20, Ni50Fe50, Ni40Fe40Cr20 by molecular dynamics (MD) simulation. A previously published modified potential is used to provide a detailed account of the process involved in the production and evolution of defects. Ni50Fe50 and Ni40Fe40Cr20 alloys exhibit comparable damage level and better radiation response compared to Ni80Cr20 and Ni80Fe20. The inhibition effect of interstitial clusters increases with the complexity of alloying elements. The alloying of Cr has resulted in Ni80Fe20 and Ni50Fe50 tend to form 1/3<111> dislocation loops while at the same time making Ni40Fe40Cr20 and Ni80Cr20 more susceptible to …

Self-Efficacy Changes And Gender Effects On Self-Efficacy In A Large-Scale Robotic Telescope Focused Curriculum, Rachel Freed, David Mckinnon, Saeed Salimpour, Michael Fitzgerald, Dan Reichart, Christina Norris

Research outputs 2022 to 2026

In this paper, we present the results of an investigation into the effects of engaging with robotic telescopes during an Astronomy 101 (Astro101) course in the United States and Canada on the self-efficacy of students. Using an astronomy self-efficacy survey that measures both astronomy personal self-efficacy and instrumental self-efficacy, the authors probed their covariance with the respondents' experience of an Astro101 course that uses robotic telescopes to collect astronomical data. Strong effects on both self-efficacy scales were seen over the period of a semester utilizing a scalable educational design using robotic telescopes. After participation in the course, the results show …

Towards Blockchain-Based Secure Bgp Routing, Challenges And Future Research Directions, Qiong Yang, Li Ma, Shanshan Tu, Sami Ullah, Muhammad Waqas, Hisham Alasmary

Research outputs 2022 to 2026

Border Gateway Protocol (BGP) is a standard inter-domain routing protocol for the Internet that conveys network layer reachability information and establishes routes to different destinations. The BGP protocol exhibits security design defects, such as an unconditional trust mechanism and the default acceptance of BGP route announcements from peers by BGP neighboring nodes, easily triggering prefix hijacking, path forgery, route leakage, and other BGP security threats. Meanwhile, the traditional BGP security mechanism, relying on a public key infrastructure, faces issues like a single point of failure and a single point of trust. The decentralization, anti-tampering, and traceability advantages of blockchain offer …

Twin Scholarships Of Glycomedicine And Precision Medicine In Times Of Single-Cell Multiomics, Seungyoul Oh, Weijie Cao, Manshu Song

Research outputs 2022 to 2026

Systems biology and multiomics research expand the prospects of planetary health innovations. In this context, this mini-review unpacks the twin scholarships of glycomedicine and precision medicine in the current era of single-cell multiomics. A significant growth in glycan research has been observed over the past decade, unveiling and establishing co- and post-translational modifications as dynamic indicators of both pathological and physiological conditions. Systems biology technologies have enabled large-scale and high-throughput glycoprofiling and access to data-intensive biological repositories for global research. These advancements have established glycans as a pivotal third code of life, alongside nucleic acids and amino acids. However, challenges …

A Cross-Cultural Study Of The Montreal Cognitive Assessment For People With Hearing Impairment, Stacey Theocharous, Greg Savage, Anna Pavlina Charalambous, Mathieu Côté, Renaud David, Kathleen Gallant, Catherine Helmer, Robert Laforce, Iracema Leroi, Ralph N. Martins, Ziad Nasreddine, Antonis Politis, David Reeves, Gregor Russell, Marie Josée Sirois, Hamid R. Sohrabi, Chyrssoula Thodi, Christiane Völter, Wai Kent Yeung, Piers Dawes

Research outputs 2022 to 2026

Background: Cognitive screening tools enable the detection of cognitive impairment, facilitate timely intervention, inform clinical care, and allow long-term planning. The Montreal Cognitive Assessment for people with hearing impairment (MoCA-H) was developed as a reliable cognitive screening tool for people with hearing loss. Using the same methodology across four languages, this study examined whether cultural or linguistic factors affect the performance of the MoCA-H. Methods: The current study investigated the performance of the MoCA-H across English, German, French, and Greek language groups (n = 385) controlling for demographic factors known to affect the performance of the MoCA-H. Results: In a …

Assessing The Impact Of Geochemical Mechanism And Interpolation Factor Selection On The Precision Of Low-Salinity Waterflooding Modelling: A Comparative Study, Malek Jalilian, Sedigheh Mahdavi, Peyman Pourafshary, Zheinjiang You, Amir H. Mohammadi

Research outputs 2022 to 2026

The efficacy of low salinity waterflooding (LSWF) as an enhanced oil recovery (EOR) method in carbonate formations has been well established; however, its geochemical modelling in such reservoirs remains insufficiently explored. This study aims to bridge this gap by conducting a comparative analysis of three well-recognised geochemical mechanisms including fines migration, rock dissolution/precipitation, and multi-ion exchange (MIE). Our research encompasses two parts: experimental and modelling. First, we conducted four coreflooding experiments to study the effect of LSWF on oil recovery in core scale as well as on rock wettability by measuring the contact angle of the crude oil-brine-rock system. In …

Enhancing Breast Cancer Treatment: Mesoporous Dopamine Nanoparticles In Synergy With Chrysin For Photothermal Therapy, Jing Zhu, Heng Zhang, Haomiao Lan, Bing Bi, Xianfeng Peng, Dandan Li, Haili Wang, Ke Zhu, Fuqiang Shao, Minggang Yin

Research outputs 2022 to 2026

Introduction: Breast cancer is one of the most prevalent cancers, primarily affecting women. Among its subtypes, estrogen receptor-positive (ER+) breast cancer is particularly common. Inhibiting estrogen's effects is crucial for treating ER+ breast cancer, but current therapies often have significant side effects and limitations. Chrysin, a natural flavonoid, has shown potential in reducing estrogen receptor expression, but its poor water solubility hampers clinical application. This study explores the use of mesoporous dopamine nanoparticles (mPDA) to enhance the delivery and efficacy of Chrysin, combined with photothermal therapy (PTT), for breast cancer treatment. Methods: Chrysin-loaded mPDA nanoparticles (Chrysin@mPDA) were synthesized and characterized …

Grain Boundary Engineering: An Emerging Pathway Toward Efficient Electrocatalysis, Xiaomin Xu, Yijun Zhong, Magdalena Wajrak, Tejas Bhatelia, San Ping Jiang, Zongping Shao

Research outputs 2022 to 2026

Electrochemical transformation processes involving carbon, hydrogen, oxygen, nitrogen, and small-molecule chemistries represent a promising means to store renewable energy sources in the form of chemical energy. However, their widespread deployment is hindered by a lack of efficient, selective, durable, and affordable electrocatalysts. Recently, grain boundary (GB) engineering as one category of defect engineering, has emerged as a viable and powerful pathway to achieve improved electrocatalytic performances. This review presents a timely and comprehensive overview of recent advances in GB engineering for efficient electrocatalysis. The beneficial effects of introducing GBs into electrocatalysts are discussed, followed by an overview of the synthesis …

Psychedelic Trip Sitting, Dosages And Intensities: Supplementing Clinical Studies With Anecdotal Reports, Liam B. Engel, Sascha Thal, Stephen J. Bright, Mitchell Low

Research outputs 2022 to 2026

Background and aims: Online communities provide insights into psychedelic consumption, assisting in identification of trends, informing both harm reduction provisions and clinical research. This study extracts forum data on psychedelic substances, dosages, and administration routes, categorising and analysing self-reported consumption to inform care services and guide clinical work with psychedelics. Methods: Posts (n = 660) from online psychedelic forums (The Shroomery and DMT Nexus) on 'trip sitting' were analysed. Using a Delphi-style expert panel review facilitated by LE, we created drug weight and intensity charts (threshold, light, common, strong and heavy dosages) for psychedelics discussed in these posts. The psychedelic …

Rationale, Design, And Baseline Characteristics Of Participants In The Health@Nus Mhealth Augmented Cohort Study Examining Student-To-Work Life Transition: Protocol For A Prospective Cohort Study, Xin Hui Chua, Sarah Martine Edney, Andre Matthias Müller, Nicholas A. Petrunoff, Clare Whitton, Zoey Tay, Claire Marie Jie Lin Goh, Bozhi Chen, Su Hyun Park, Salome A. Rebello, Alicia Low, Janelle Chia, Daphne Koek, Karen Cheong, Rob M. Van Dam, Falk Müller-Riemenschneider

Research outputs 2022 to 2026

Background: Integration of mobile health data collection methods into cohort studies enables the collection of intensive longitudinal information, which gives deeper insights into individuals’ health and lifestyle behavioral patterns over time, as compared to traditional cohort methods with less frequent data collection. These findings can then fill the gaps that remain in understanding how various lifestyle behaviors interact as students graduate from university and seek employment (student-to-work life transition), where the inability to adapt quickly to a changing environment greatly affects the mental well-being of young adults. Objective: This paper aims to provide an overview of the study methodology and …

Role Of Supply Chain Management In Improving Competitive Advantage Of Indonesian Small And Medium Enterprises, Hotlan Siagian, Sautma Ronni Basana, Zeplin Jiwa Husada Tarigan, Maya Novitasari, Ferry Jie

Research outputs 2022 to 2026

Global competition has forced companies, including small and medium enterprises (SMEs), to improve their competitive advantage. Supply chain management practices are the ways to improve the competitive advantage, particularly in the global competition context. However, there is still doubt SMEs can compete globally, considering they face limited resources, skilled workforce, and business networks. Therefore, this study aims to examine the influence of supply chain management practices, covering cross-functional integration, partnership, responsiveness, and resilience. Moreover, this study has examined which practices dominate in improving competitive advantage. The quantitative study involved 445 SMEs located in East Java, Indonesia. The respondents are supervisors …

Secrecy Rate Maximization For Active Reconfigurable Intelligent Surface Assisted Mimo Systems, Bin Gao, Jingru Zhao, Shihao Yan, Shaozhang Xiao

Research outputs 2022 to 2026

Reconfigurable intelligent surface (RIS) is a promising technology for future 6G communications and has been used to enhance secrecy performance. However, the performance improvement is restricted by the 'double fading' effect of the reflection channel link. To address this issue, we introduce an active RIS design, where the reflecting elements of RIS not only adjust the phase shift but also amplify the reflected signal through the amplifier integrated into its elements. To obtain a satisfactory solution to the non-convex problem resulting from this design, the penalty dual decomposition based alternating gradient projection (PDDAPG) method is proposed. We compare the proposed …

Work-Integrated Learning In The Humanities, Arts And Social Sciences: Where To From Here?, Denise Jackson, Elizabeth Cook

Research outputs 2022 to 2026

Amidst increasing pressures on Humanities, Arts, and Social Sciences (HASS) disciplines regarding graduate career readiness, this study examines HASS student participation in work-integrated learning (WIL) and its impacts on employability and short-term employment outcomes, using data from the Australian Graduate Outcomes Survey from 2020 to 2023. The research examined the extent of participation across WIL types (work-based, non-workplace and global) and its influence on graduates’ perceived employability and employment outcomes (full-time employment and perceived overqualification), while investigating demographic differences using descriptive analysis and logistic regression models. Results indicated rising WIL participation yet identified disparities by activity type and among student …

A Natural Hydrogen Seep In Western Australia: Observed Characteristics And Controls, Krista Davies, Emanuelle Frery, Ausama Giwelli, Lionel Esteban, Alireza Keshavarz, Stefan Iglauer

Research outputs 2022 to 2026

Natural hydrogen (H2) is a promising resource for the energy industry’s transition to zero-carbon fuels. However, its extent and feasibility for exploitation remain unclear. A key step towards discovering subsurface dihydrogen accumulations is detecting H2 seeps. This study presents the first autonomous, multi-gas monitoring of a natural hydrogen seep in Australia, where dihydrogen, carbon dioxide, and hydrogen sulphide were measured together. The research revealed significant H2 seepage on the Yilgarn Craton in Western Australia, with seasonal fluctuations: high emissions after dry summers and reduced emissions following rainfall due to increased groundwater levels. Groundwater appears to act as a seasonal inhibitor …

Conceptualising Project Environmental Impact Assessment For Enhancement: No Net Loss, Net Gain, Offsetting And Nature Positive, Angus Morrison-Saunders, Luis Sánchez

Research outputs 2022 to 2026

With declining biodiversity worldwide, the need for development proposals to deliver positive, not negative, environmental outcomes is clear. Arguably, this is a long-standing goal of environmental impact assessment (EIA). This article explores the extent to which current project EIA practice can achieve enhancement, no net loss or a net gain of biodiversity and Nature Positive goals. Using reflexivity, a conceptual approach is applied to policies and examples from practice. The environmental enhancement goal of EIA is explained. The mitigation hierarchy is applied to a hypothetical mining example for accomplishing no net loss/net gain of biodiversity through offsets. Nature Positive is …

Design Of An Adaptive Robust Pi Controller For Dc/Dc Boost Converter Using Reinforcement-Learning Technique And Snake Optimization Algorithm, Seyyedmorteza Ghamari, Mojtaba Hajihosseini, Daryoush Habibi, Asma Aziz

Research outputs 2022 to 2026

The DC/DC Boost converter exhibits a non-minimum phase system with a right half-plane zero structure, posing significant challenges for the design of effective control approaches. This article presents the design of a robust Proportional-Integral (PI) controller for this converter with an online adaptive mechanism based on the Reinforcement-Learning (RL) strategy. Classical PI controllers are simple and easy to build, but they need to be more robust against a wide range of disturbances and more adaptable to operational parameters. To address these issues, the RL adaptive strategy is used to optimize the performance of the PI controller. Some of the main …

Genograms, Culture, Love And Sisterhood: A Conversation With Monica Mcgoldrick, Deisy Amorin-Woods

Research outputs 2022 to 2026

Monica McGoldrick stands as a towering figure in the field of family therapy. Initially earning a Masters in Russian Studies, she then pivoted to social work and systems thinking. McGoldrick's illustrious career has been marked by significant contributions to family therapy, particularly through her work with family genograms, mapping family relationships and histories to identify patterns across generations. She expanded the use of genograms to incorporate cultural, ethnic and gender contexts, revolutionising the field. Her work emphasises understanding individuals within their historical, social and cultural contexts. She has authored multiple seminal texts, including ‘Ethnicity and family therapy’, and Genograms: Assessment …

Gradient Microstructures And Mechanical Properties Of Ti–6al–4v Alloy Induced By Laser Surface Quenching, Enqing Wang, Jinpeng Tuo, Fengqi Hou, Dongjie Li, Yuanhang Li, Lvhao Zheng, Kai Zhang, Longlong Dong, Yi Yang, Hao Wang, Aijun Huang, Lai Chang Zhang

Research outputs 2022 to 2026

Laser surface quenching (LSQ) was employed to fabricate gradient microstructures in a Ti–6Al–4V alloy. The influence of the LSQ parameters on the surface morphology, the depth of the LSQ layer, gradient microstructure, and microhardness were investigated. The results showed that as the laser energy density increases, the surface roughness and thickness of the heat-affected zone (HAZ) increase. From the internal matrix to the surface, the microstructure in the HAZ changes from the equiaxed structure to the mixt structure, martensitic structure, Widmanstätten structure, and then the oxide layer. The size of the β grains gradually decreases as the distance from the …

Infrared Ship Segmentation Based On Weakly-Supervised And Semi-Supervised Learning, Isa Ali Ibrahim, Abdallah Namoun, Sami Ullah, Hisham Alasmary, Muhammad Waqas, Iftekhar Ahmad

Research outputs 2022 to 2026

Existing fully-supervised semantic segmentation methods have achieved good performance. However, they all rely on high-quality pixel-level labels. To minimize the annotation costs, weakly-supervised methods or semi-supervised methods are proposed. When such methods are applied to the infrared ship image segmentation, inaccurate object localization occurs, leading to poor segmentation results. In this paper, we propose an infrared ship segmentation (ISS) method based on weakly-supervised and semi-supervised learning, aiming to improve the performance of ISS by combining the advantages of two learning methods. It uses only image-level labels and a minimal number of pixel-level labels to segment different classes of infrared ships. …

The Stability Of The Deadlift Three Repetition Maximum, Stuart N. Guppy, Tsuyoshi Nagatani, Wayne C. K. Poon, Kristina L. Kendall, Jason P. Lake, G. Gregory Haff

Research outputs 2022 to 2026

This study investigated the stability of three repetition maximum (3RM) strength during the deadlift. Eleven participants performed four testing sessions comprising a one repetition maximum test and 3RM tests separated by 48 h. Preparedness was assessed before each testing session using countermovement jumps and by measuring barbell velocity during each set of deadlifts. Trivial statistically significant differences were determined for the 3RM between T1 and both T2 (p = 0.012; ES [95% CI] = −0.1 [−0.58, 0.41]) and T3 (p = 0.027; ES [95% CI] = −0.09 [−0.57, −0.43]). No significant differences were noted between T2 and T3 …