Digital Commons Network^™

Determinants Of Intention To Use E-Wallet: Personal Innovativeness And Propensity To Trust As Moderators, Madugoda Gunaratnege Senali, Mohammad Iranmanesh, Fatin Nadzirah Ismail, Noor Fareen Abdul Rahim, Mana Khoshkam, Maryam Mirzaei

Research outputs 2022 to 2026

This study aims to investigate the determinants of intention to use e-wallets. Drawing on the technology acceptance model (TAM), the conceptual framework was developed. The study extends the TAM in the context of e-wallets, by testing the influences of product-related factors namely perceived compatibility, perceived risk, and perceived emotions and investigating the moderating impacts of personal innovativeness and propensity to trust. To conduct an empirical study, the data were collected from Malaysian individuals with no experience with e-wallets using an online survey. Data from 374 participants were obtained and analyzed using the partial least squares technique. The results showed that …

Leveraging Machine Learning To Analyze Sentiment From Covid-19 Tweets: A Global Perspective, Md Mahbubar Rahman, Nafiz Imtiaz Khan, Iqbal H. Sarker, Mohiuddin Ahmed, Muhammad Nazrul Islam

Research outputs 2022 to 2026

Since the advent of the worldwide COVID-19 pandemic, analyzing public sentiment has become one of the major concerns for policy and decision-makers. While the priority is to curb the spread of the virus, mass population (user) sentiment analysis is equally important. Though sentiment analysis using different state-of-the-art technologies has been focused on during the COVID-19 pandemic, the reasons behind the variations in public sentiment are yet to be explored. Moreover, how user sentiment varies due to the COVID-19 pandemic from a cross-country perspective has been less focused on. Therefore, the objectives of this study are: to identify the most effective …

Normal Redefined: Exploring Decontextualization Of Lorises (Nycticebus & Xanthonycticebus Spp.) On Social Media Platforms, Luke F. Quarles, Kim Feddema, Marco Campera, K. A.I. Nekaris

Research outputs 2022 to 2026

Introduction: Decontextualization is a concept from psychology whereby new words are learned outside of the context of the here-and-now. Decontextualized language is used for discussing abstract concepts and is crucial to the development of academic language. When it comes to images, a dearth of context can lead to a lack of clarity, such as the use of ambiguous decontextualized images in environmental communication, leading to the promotion of greenwashing. Here we refer to decontextualization as the removal of wildlife from their wild ecological context. Images and videos of globally threatened species are increasingly popular on social media. Showing such taxa …

The Ability Of Ruppia Polycarpa To Regenerate From Seed Depends On Seasonal Porewater Salinity Dynamics And Declining Winter Rainfall Could Delay Recruitment, Chanelle L. Webster, Paul S. Lavery, Simone Strydom, Jessica Billinghurst, Kathryn Mcmahon

Research outputs 2022 to 2026

For many plants, regeneration from seed is vital for population recovery. Climate change is modifying the global hydrological cycle and a primary factor controlling germination of marine plants: salinity. How altered salinity regimes, and especially altered porewater salinity regimes, will regulate early life history stages of estuarine seagrasses is poorly understood. Here, we quantified the porewater salinity dynamics in two ephemeral estuaries that are dominated by the cosmopolitan genus Ruppia. Seedbank, germlings (germinated seeds) and seedlings were found in salinities ranging from 5 to 110 over an annual cycle. To understand the germination ecology of the dominant species, Ruppia polycarpa, …

Closing The Shell: Gas-Phase Solvation Of Halides By 1,3-Butadiene, Peter D. Watson, Christian T. Haakansson, Hayden T. Robinson, Timothy R. Corkish, James Brookes, Allan J. Mckinley, Duncan A. Wild

Research outputs 2022 to 2026

Gas-phase solvation of halides by 1,3-butadiene has been studied via a combination of photoelectron spectroscopy and density functional theory. Photoelectron spectra for X−⋯(C4H6)n (X=Cl, Br, I where n=1-3, 1–3 and 1–7 respectively) are presented. For all complexes, the calculated structures indicate that butadiene is bound in a bidentate fashion through hydrogen-bonding, with the chloride complex showing the greatest degree of stabilisation of the internal C−C rotation of cis-butadiene. In both Cl− and Br− complexes, the first solvation shell is shown to be at least n = 4 from the vertical detachment energies (VDEs), however for I−, increases in the …

A National Survey Of Ability Grouping Practices In Secondary School Physical Education In England, Shaun D. Wilkinson, Dawn Penney

Research outputs 2022 to 2026

This research sought to generate large-scale yet sophisticated data relating to ability grouping practices in physical education (PE) in secondary schools in England, with the intent of extending knowledge of the various ability grouping practices being adopted within and across schools. The prevalence of particular ability grouping practices, processes associated with their application, and factors influencing their use and non-use were explored. Data were collected via a web-based survey of all (3197 at the time of study) mainstream state-funded secondary schools in England. A total of 903 responses were received, giving a response rate of 28.2%. The findings reveal that …

A Review Of Multi-Factor Authentication In The Internet Of Healthcare Things, Tance Suleski, Mohiuddin Ahmed, Wencheng Yang, Eugene Wang

Research outputs 2022 to 2026

Objective: This review paper aims to evaluate existing solutions in healthcare authentication and provides an insight into the technologies incorporated in Internet of Healthcare Things (IoHT) and multi-factor authentication (MFA) applications for next-generation authentication practices. Our review has two objectives: (a) Review MFA based on the challenges, impact and solutions discussed in the literature; and (b) define the security requirements of the IoHT as an approach to adapting MFA solutions in a healthcare context. Methods: To review the existing literature, we indexed articles from the IEEE Xplore, ACM Digital Library, ScienceDirect, and SpringerLink databases. The search was refined to combinations …

Driving Training-Based Optimization (Dtbo) For Global Maximum Power Point Tracking For A Photovoltaic System Under Partial Shading Condition, Haroon Rehman, Injila Sajid, Adil Sarwar, Mohd Tariq, Farhad I. Bakhsh, Shafiq Ahmad, Haitham A. Mahmoud, Asma Aziz

Research outputs 2022 to 2026

The presence of bypass diodes in photovoltaic (PV) arrays can mitigate the negative effects of partial shading conditions (PSCs), which can cause multiple peak characteristics at the output. However, conventional maximum power point tracking (MPPT) methods can develop errors and detect the local maximum power point (LMPP) instead of the global maximum power point (GMPP) under certain circumstances. To address this issue, several artificial intelligence (AI)-based methods have been proposed, but they result in complicated and unreliable methodologies. This study introduces the driving training-based optimization (DTBO) method, which aims to address the partial shading (PS) problem quickly and reliably in …

Three-Dimensional Food Printing: Its Readiness For A Food And Nutrition Insecure World, Liezhou Zhong, Joshua R. Lewis, Marc Sim, Catherine P. Bondonno, Mark L. Wahlqvist, Amin Mugera, Sharon Purchase, Kadambot H. M. Siddique, Michael J. Considine, Stuart K. Johnson, Amanda Devine, Jonathan M. Hodgson

Research outputs 2022 to 2026

Three-dimensional (3D) food printing is a rapidly emerging technology offering unprecedented potential for customised food design and personalised nutrition. Here, we evaluate the technological advances in extrusion-based 3D food printing and its possibilities to promote healthy and sustainable eating. We consider the challenges in implementing the technology in real-world applications. We propose viable applications for 3D food printing in health care, health promotion and food waste upcycling. Finally, we outline future work on 3D food printing in food safety, acceptability and economics, ethics and regulations. . .

Photocatalytic Reforming Of Lignocellulose: A Review, Xinyuan Xu, Lei Shi, Shu Zhang, Zhimin Ao, Jinqiang Zhang, Shaobin Wang, Hongqi Sun

Research outputs 2022 to 2026

Biomass has been considered as a promising energy resource to combat the exhaustion of fossil fuels, as it is renewable, sustainable, and clean. Photocatalytic reforming is a novel technology to utilize solar energy for upgrading biomass in relatively mild conditions. This process efficiently reforms and recasts biomass into hydrogen and/or valuable chemicals. To date, lignocellulose, including cellulose, hemicellulose and lignin, has attracted extensive studies in facile photocatalytic valorisation. This review summarizes and analyzes the most recent research advances on photoreforming of lignocellulose to provide insights for future research, with a particular emphasis on the reformation of lignin because of its …

Blue Carbon Opportunities: Seagrass Carbon Storage And Accumulation Rates At North Minahasa And Sangihe Island, Indonesia, Paul Lavery, Anna Lafratta, Akbar Ario Digdo, Abie Ariyo Dandoro, Citra Septiani, Topan Cahyono, Oscar Serrano, Pere Masque´

Research outputs 2022 to 2026

Report prepared as a contribution to the Seagrass Ecosystem Services Project “Conservation of biodiversity, seagrass ecosystems and their services – safeguarding food security and resilience in vulnerable coastal communities in a changing climate” funded through the International Klimate Initiative (IKI).

The SES Project is a partnership between the CMS, Edith Cowan University, Yapeka, Project Seagrass, Seagrass Watch, Murdoch University, MRS, Blue Ventures, SAN, C3, ZSL, and MareCet. The collaboration enhances the understanding of seagrass ecosystem services and the capacity to develop and deliver science-based policy solutions in seagrass conservation. It brings together scientists, policy experts, business development experts and conservation …

Coastal Groundwater-Dependent Ecosystems Are Falling Through Policy Gaps, Madeleine Dyring, Melissa M. Rohde, Ray Froend, Harald Hofmann

Research outputs 2022 to 2026

Coastal groundwater-dependent ecosystems (GDEs), such as wetlands, estuaries and nearshore marine habitats, are biodiversity hotspots that provide valuable ecosystem services to society. However, coastal groundwater and associated ecosystems are under threat from groundwater exploitation and depletion, as well as climate change impacts from sea-level rise and extreme flood and drought events. Despite many well-intentioned policies focused on sustainable groundwater use and species protection, coastal GDEs are falling through gaps generated by siloed policies and as a result, are declining in extent and ecological function. This study summarized then examined policies related to the management of coastal groundwater and connected ecosystems …

Fatigue Does Not Increase Limb Asymmetry Or Induce Proximal Joint Power Shift In Habitual, Multi-Speed Runners, Shayne Vial, Jodie Cochrane Wilkie, Mitchell Turner, Anthony J. Blazevich

Research outputs 2022 to 2026

During prolonged jogging, joint moment and work tend to decrease in the distal (ankle) joint but increase at proximal (hip/knee) joints as performance fatigue manifests, and such adaptations might be expected to occur in sprinting. Fatigue is also thought to increase inter-limb asymmetries, which is speculated to influence injury risk. However, the effects of fatigue on sprint running gait have been incompletely studied, so these hypotheses remain untested. Using statistical parametric mapping, we compared 3-D kinematics and ground reaction force production between the dominant (DL) and non-dominant (NDL) legs of 13 soccer players during both non-fatigued and fatigued sprint running. …

Development Of A Scoring Tool For Australian Rural Food Retail Environments, Tracy L. Schumacher, Carissa A. Alderton, Leanne J. Brown, Susan Heaney, Laura Alston, Katherine Kent, Stephanie L. Godrich

Research outputs 2022 to 2026

Current tools scoring the healthiness of food retail outlets do not reflect outlets found in rural locations. This study aimed to adapt pre-existing Australian scoring tools to represent non-metropolitan areas. Rural nutrition experts were identified, and a modified Delphi technique was used to adapt two pre-existing, food-scoring tools in five iterative stages. Stages included identifying all relevant outlets, providing a description and score for each, ensuring consistency between outlet scores and pre-existing, metro-centric tools, and providing instructions for correct use. Six rural nutrition experts were identified and engaged in the modified Delphi technique. The final tool consisted of 12 categories …

Malbot-Drl: Malware Botnet Detection Using Deep Reinforcement Learning In Iot Networks, Mohammad Al-Fawa'reh, Jumana Abu-Khalaf, Patryk Szewczyk, James J. Kang

Research outputs 2022 to 2026

In the dynamic landscape of cyber threats, multi-stage malware botnets have surfaced as significant threats of concern. These sophisticated threats can exploit Internet of Things (IoT) devices to undertake an array of cyberattacks, ranging from basic infections to complex operations such as phishing, cryptojacking, and distributed denial of service (DDoS) attacks. Existing machine learning solutions are often constrained by their limited generalizability across various datasets and their inability to adapt to the mutable patterns of malware attacks in real world environments, a challenge known as model drift. This limitation highlights the pressing need for adaptive Intrusion Detection Systems (IDS), capable …

Leadership As A Challenging Opportunity: Nepali Secondary Principals’ Contextual Understandings And Perception Of Their Roles, Shankar Dhakal, Andrew Jones, Geoffrey W. Lummis

Research outputs 2022 to 2026

This qualitative case study explores the perceptions of three Nepali secondary principals regarding their leadership roles, behaviors, and experiences. By employing semi-structured interviews in both physical and virtual school contexts, it emphasizes the importance of understanding the specific contexts, critically evaluating global leadership trends, and adopting approaches that enhance student wellbeing. The study highlights the influence of sociocultural structures shaped by societal values and beliefs. Spiritual attributes like humility, compassion, and connectedness are identified as contextual knowledge for Nepali principals. The research identifies a gap in Nepali school leadership literature, providing practical insights for their future career pathways.

Perceptions Of Capacity, Fatigue, And Their Psychophysics: Examining Construct Equivalence And The Relationship Between Actual Capacity And Perception Of Capacity During Resisted Elbow Flexion Tasks, James Steele, Matheus D. Pinto, Kazunori Nosaka, James L. Nuzzo

Research outputs 2022 to 2026

The actual capacity to perform tasks, and actual fatigue, are concepts that have been thought of as inherently linked. These considerations also extend to their phenomenology, meaning the perception(s) of capacity or fatigue. The phenomenology of capacity or fatigue thus may be capturing the same underlying latent construct. Further, it is speculated that the actual capacity of a person to perform a given task, and their perception of that capacity, have a psychophysical relationship. The aim of this study was therefore twofold: 1) to explore the extensional equivalence of perceptions of capacity and fatigue, and 2) to explore the relationship …

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Modification Of Cellulose Ether With Organic Carbonate For Enhanced Thermal And Rheological Properties: Characterization And Analysis, Ghulam Abbas, Abdul H. Tunio, Khalil R. Memon, Aftab A. Mahesar, Faisal H. Memon, Ghazanfer R. Abbasi

Research outputs 2022 to 2026

Reduction in viscosity at higher temperatures is the main limitation of utilizing cellulose ethers in high thermal reservoir conditions for petroleum industry applications. In this study, cellulose ether (hydroxyethyl methyl cellulose (HEMC)) is modified using organic carbonates, i.e., propylene carbonate (PC) and diethyl carbonate (DEC), to overcome the limitation of reduced viscosity at high temperatures. The polymer composites were characterized through various analytical techniques, including Fourier-transform infrared (FTIR), H-NMR, X-ray diffraction (XRD), scanning electron microscope (SEM), thermogravimetric analysis (TGA), differential scanning calorimetry (DSC), -potential measurement, molecular weight determination, and rheology measurements. The experimental results of structural and morphological characterization confirm …

Philosophical Inquiry In A Culturally Diverse, Faith-Based Community, Kwadwo Adusei-Asante, Kaz Bland, Nin Kirkham, Douglas Nelson, Stella Tarrant

Research outputs 2022 to 2026

This paper reports on collaborative research undertaken with the African Australian Christian Impact Centre (CIC) in Perth, Western Australia. It is part of a larger university philosophy outreach program in which the researchers seek to create opportunities for those on the educational and social margins, and young people, to engage in ‘doing philosophy’, and to learn from them about their experiences. We were interested to evaluate whether the collaborative philosophical inquiry methods we use in our university teaching could be beneficial outside of a formal educational setting, for members of the culturally diverse, faith-based community of CIC. In this multi-method …

Co-Designing A Multi-Criteria Approach To Ranking Hazards To And From Australia’S Emerging Offshore Blue Economy, Mischa P. Turschwell, Christopher J. Brown, Myriam Lacharité, Jess Melbourne-Thomas, Keith R. Hayes, Rodrigo H. Bustamante, Jeffrey M. Dambacher, Karen Evans, Pedro Fidelman, Darla H. Macdonald, Ingrid Van Putten, Graham Wood, Nagi Abdussamie, Mathilda Bates, Damien Blackwell, Steven D'Alessandro, Ian Dutton, Jessica A. Ericson, Christopher L. J. Frid, Carmel Mcdougall, Mary-Anne Lea, David Rissik, Rowan Trebilco, Elizabeth A. Fulton

Research outputs 2022 to 2026

A multi-sectoral assessment of risks can support the management and investment decisions necessary for emerging blue economy industries to succeed. Traditional risk assessment methods will be challenged when applied to the complex socio-ecological systems that characterise offshore environments, and when data available to support management are lacking. Therefore, there is a need for assessments that account for multiple sectors. Here we describe the development of an efficient method for an integrated hazard analysis that is a precursor to full risk assessments. Our approach combines diverse disciplinary expertise, expert elicitation and multi-criteria analysis to rank hazards, so it encompasses all types …

Microscale Pollen Release And Dispersal Patterns In Flowering Grass Populations, Carl A. Frisk, Godfrey P. Apangu, Geoffrey M. Petch, Simon Creer, Mary Hanson, Beverley Adams-Groom, Carsten A. Skjøth

Research outputs 2022 to 2026

Characterizing pollen release and dispersion processes is fundamental for knowledge advancement in ecological, agricultural and public health disciplines. Understanding pollen dispersion from grass communities is especially relevant due to their high species-specific allergenicity and heterogeneously distributed source areas. Here, we aimed to address questions concerning fine level heterogeneity in grass pollen release and dispersion processes, with a focus on characterizing the taxonomic composition of airborne grass pollen over the grass flowering season using eDNA and molecular ecology methods. High resolution grass pollen concentrations were compared between three microscale sites ( < 300 m apart) in a rural area in Worcestershire, UK. The grass pollen was modelled with local meteorology in a MANOVA (Multivariate ANOVA) approach to investigate factors relevant to pollen release and dispersion. Simultaneously, airborne pollen was sequenced using Illumina MySeq for metabarcoding, analysed against a reference database with all UK grasses using the R packages DADA2 and phyloseq to calculate Shannon's Diversity Index ( -diversity). The flowering phenology of a local Festuca rubra population was observed. We found that grass pollen concentrations varied on a microscale level, likely attributed to local topography and the dispersion distance of pollen from flowering grasses in local source areas. Six genera (Agrostis, Alopecurus, Arrhenatherum, Holcus, Lolium and Poa) dominated the pollen season, comprising on average 77 % of the relative abundance of grass species reads. Temperature, solar radiation, relative humidity, turbulence and wind speeds were found to be relevant for grass pollen release and dispersion processes. An isolated flowering Festuca rubra population contributed almost 40 % of the relative pollen abundance adjacent to the nearby sampler, but only contributed 1 % to samplers situated 300 m away. This suggests that most emitted grass pollen has limited dispersion distance and our results show substantial variation in airborne grass species composition over short geographical scales.

Hybrid Warfare And Disinformation: A Ukraine War Perspective, Sascha-Dominik Dov Bachmann, Dries Putter, Guy Duczynski

Research outputs 2022 to 2026

Misinformation, disinformation and mal information are part of the information disorder construct, dominating the information warfare domain. These are key enablers associated with grey zone operations, and an integral part of current adversaries' and competitors' hybrid warfare tool kit. Disinformation, in combination with influence operations, also plays an important role within the concept of hybrid warfare; both from a threat–and own resilience perspective. This article reflects on these information warfare tools and their application by Russia in the current Russo-Ukraine war, offering potentially considerable force multipliers in the information domain for the Russian aggressor. Hybrid warfare and associated threats, specifically …

Readability Of Australian Road Safety Information For The General Public, Catherine Ferguson, Stephen Winn

Research outputs 2022 to 2026

This research was conducted as a result of the authors becoming aware of the Australasian College of Road Safety (ACRS) submission to the National Road Safety Strategy 2021-2030. The ACRS submission outlined six key elements, one of which suggested that the National Road Safety Strategy should include ‘Publication in easily consumable form, for the public, of infrastructure safety star ratings for all road users’ (ACRS, 2021, p.61). This prompted the researchers to consider the road safety information provided to the general public about driving behaviour. Forty excerpts from online data from one Australian State’s road safety website were assessed for …

Proteome Changes Resulting From Malting In Hordein-Reduced Barley Lines, Mahya Bahmani, Angéla Juhász, Utpal Bos, Mitchell G. Nye-Wood, Malcolm Blundell, Crispin A. Howitt, Michelle L. Colgrave

Research outputs 2022 to 2026

Hordeum vulgare L., commonly known as barley, is primarily used for animal feed and malting. The major storage proteins in barley are hordeins, known triggers of celiac disease (CD). Here, sequential window acquisition of all theoretical mass spectra (SWATH)-MS proteomics was employed to investigate the proteome profile of grain and malt samples from the malting barley cultivar Sloop and single-, double-, and triple hordein-reduced lines bred in a Sloop background. Using a discovery proteomics approach, 2688 and 3034 proteins were detected from the grain and malt samples, respectively. By utilizing label-free relative quantitation through SWATH-MS, a total of 2654 proteins …

A Data Taxonomy For Adaptive Multifactor Authentication In The Internet Of Health Care Things, Tance Suleski, Mohiuddin Ahmed

Research outputs 2022 to 2026

The health care industry has faced various challenges over the past decade as we move toward a digital future where services and data are available on demand. The systems of interconnected devices, users, data, and working environments are referred to as the Internet of Health Care Things (IoHT). IoHT devices have emerged in the past decade as cost-effective solutions with large scalability capabilities to address the constraints on limited resources. These devices cater to the need for remote health care services outside of physical interactions. However, IoHT security is often overlooked because the devices are quickly deployed and configured as …

Evaluating Staff Attitudes, Intentions, And Behaviors Related To Cyber Security In Large Australian Health Care Environments: Mixed Methods Study, Martin Dart, Mohiuddin Ahmed

Research outputs 2022 to 2026

Background: Previous studies have identified that the effective management of cyber security in large health care environments is likely to be significantly impacted by human and social factors, as well as by technical controls. However, there have been limited attempts to confirm this by using measured and integrated studies to identify specific user motivations and behaviors that can be managed to achieve improved outcomes.

Objective: This study aims to document and analyze survey and interview data from a diverse range of health care staff members, to determine the primary motivations and behaviors that influence their acceptance and application of cyber …

Going Beyond: Cyber Security Curriculum In Western Australian Primary And Secondary Schools. Final Report, Nicola F. Johnson, Ahmed Ibrahim, Leslie Sikos, Marnie Mckee

Research outputs 2022 to 2026

There is no doubt cyber security is of national interest given the rife nature of cyber crime and the alarming increase of victims who have endured identify theft, fraud and scams. Curriculum within K-12 schools tends to be fixed and any modifications are subject to extensive consultation within a prolonged review cycle. Therefore, this report has gone beyond curriculum to explore the potential of national awareness campaigns and dynamic digital cyber security licences as alternative possibilities for instigation. The role of leaders in various school sectors and systems is critical for a successful roll out. This final report culminates from …

Global Online Trade In Primates For Pets, Vincent Nijman, Thais Q. Morcatty, Hani R. El Bizri, Hassan Al-Razi, Andie Ang, Ahmad Ardiansyah, Sadek Atoussi, Daniel Bergin, Sarah Bell, Franciany Braga-Pereira, Marco Campera, Nabajit Das, Felipe E. Silva, Kim Feddema, Grace Foreman, Anna Fourage, Smitha D. Gnanaolivu, Malene F. Hansen, Elena Račevska, Brittany C. Rapone, Ganga R. Regmi, Chris R. Shepherd, Sofiya Shukhova, Penthai Siriwat, Jaima H. Smith, Seyed A. M. M. Tabar, Aline S. Tavares, Ariana V. Weldon, Angelina Wilson, Nobuyuki Yamaguchi, Mingxia Zhang, Magdalena S. Svensson, K. Anne-Isola Nekaris

Research outputs 2022 to 2026

The trade in primates as pets is a global enterprise and as access to the Internet has increased, so too has the trade of live primates online. While quantifying primate trade in physical markets is relatively straightforward, limited insights have been made into trade via the Internet. Here we followed a three-pronged approach to estimate the prevalence and ease of purchasing primates online in countries with different socioeconomic characteristics. We first conducted a literature review, in which we found that Malaysia, Thailand, the USA, Ukraine, South Africa, and Russia stood out in terms of the number of primate individuals being …

Generalized Framework For Image And Video Object Segmentation Using Affinity Learning And Message Passing Gnns, Sundaram Muthu, Ruwan Tennakoon, Tharindu Rathnayake, Reza Hoseinnezhad, David Suter, Alireza Bab-Hadiashar

Research outputs 2022 to 2026

Despite significant amount of work reported in the computer vision literature, segmenting images or videos based on multiple cues such as objectness, texture and motion, is still a challenge. This is particularly true when the number of objects to be segmented is not known or there are objects that are not classified in the training data (unknown objects). A possible remedy to this problem is to utilize graph-based clustering techniques such as Correlation Clustering. It is known that using long range affinities (Lifted multicut), makes correlation clustering more accurate than using only adjacent affinities (Multicut). However, the former is computationally …