Bilateral insider threat detection : harnessing standalone and sequential activities with recurrent neural networks
- Authors: Manoharan, Phavithra , Hong, Wei , Yin, Jiao , Zhang, Yanchun , Ye, Wenjie , Ma, Jiangang
- Date: 2023
- Type: Text , Conference paper
- Relation: 24th International Conference on Web Information Systems Engineering, WISE 2023, Melbourne, 25-27 October 2023, Web Information Systems Engineering – WISE 2023, 24th International Conference, Melbourne, VIC, Australia, October 25–27, 2023, Proceedings Vol. 14306 LNCS, p. 179-188
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- Description: Insider threats involving authorised individuals exploiting their access privileges within an organisation can yield substantial damage compared to external threats. Conventional detection approaches analyse user behaviours from logs, using binary classifiers to distinguish between malicious and non-malicious users. However, existing methods focus solely on standalone or sequential activities. To enhance the detection of malicious insiders, we propose a novel approach: bilateral insider threat detection combining RNNs to incorporate standalone and sequential activities. Initially, we extract behavioural traits from log files representing standalone activities. Subsequently, RNN models capture features of sequential activities. Concatenating these features, we employ binary classification to detect insider threats effectively. Experiments on the CERT 4.2 dataset showcase the approach’s superiority, significantly enhancing insider threat detection using features from both standalone and sequential activities. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Biosynthetic organic solar cell biorefinery to fulfil Australian baseload power demands
- Authors: Ghayur, Adeel
- Date: 2023
- Type: Text , Conference paper
- Relation: 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023, Wollongong, 3-6 December 2023, 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023
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- Description: Renewable energy technologies are fundamental to mitigating climate change. However, the intermittent nature associated with wind and solar technologies is the biggest hurdle to their implementation in baseload grid. The other two issues are incorporation of fossil fuel derived materials in their synthesis and end-of-life recycling. These issues for solar panels have been addressed here. In this study, for the first time, a pathway for the incorporation of renewable organic materials in the synthesis of organic solar cells has been developed. While this novel biorefinery concept has been developed for Australia, it is just as applicable in other regions. In this concept, 650,000 metric tons of non-food bio-waste is consumed for the production of organic materials that manufacture solar cells with 14 GW nameplate capacity, annually. In the State of Victoria (Australia) this is sufficient for 2 GW of baseload capacity. In this baseload 12 GW is earmarked for electrolytic hydrogen production to generate 2 GW of fuel cell based power for 18 h, daily, at 50% roundtrip efficiency. The land area required for such a 2 GW baseload solar farm is 200 km2. These results show that less than 300,000 km2 of area (0.2% of Earth's surface) is needed to transition the entire planet's power grid to solar baseload and 150 biorefineries can produce enough organic solar panels to achieve this transition in ten years. At their end-of-life, these solar panels are easier to recycle, when compared to silicon solar panels due to their organic materials. © 2023 IEEE.
Blockchain and RFID for baggage movement in the aviation industry
- Authors: Dubey, Suchi , Singh, Anurag , Riaz, Shoaib , Shukla, Vinod
- Date: 2023
- Type: Text , Book chapter
- Relation: Emerging Applications of Blockchain Technology Chapter 16 p. 291-304
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- Description: Airlines are liable for lost baggage claims, damaged luggage, or lost baggage in transit. Every year hundreds of millions are lost in settling the claims of the traveler related to baggage. This causes inconvenience and dissatisfaction for the traveler with airlines and baggage movements. For the long-distance multiple stop overs and connecting flights, travelers are always worried about their baggage check in to the connecting flights. With the help of the block chain technology, it is impossible to manipulate and tamper data and records and hence it creates traceability, transparency, and immutability. The paper discusses the proposed model of integrating RFID along with block chain technology in the baggage claim and proposed a conceptual model to trace the journey the baggage so as to locate without delay. The model will integrate various departments, verticals that operate on the airports and create a seamless service of transparency for promoting efficiency and reduces losses. In the proposed model third party service is involved which facilitate traveler in baggage drop off on to their selected point of collection within a city. After required standard operating procedures at the drop off location traveler can directly report to airport as per their reporting time. The baggage will be assigned an RFID and will be put under block chain which will be simultaneously updated with time stamped activity on block chain as per the movement of baggage. As each node will be having a copy of baggage details it is very easy for the airline to track the movement of baggage in a transparent and efficient way. Proposed models discuss a model of baggage drop off on selected location which in turn will be put under block chain for easy traceability. With this model airline companies can improve collaboration, provide more convenient services and above all reduce the cost incurred in baggage claim drastically. The paper discusses the block chain model for traveler which can be applied in cargo handling in future. © 2023 Nova Science Publishers, Inc.
Bookend : outdoor environmental education in precarious times
- Authors: Jukes, Scott
- Date: 2023
- Type: Text , Book chapter
- Relation: Learning to confront ecological precarity : engaging with more-than-human worlds Chapter 12 p. 223-232
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- Description: This final chapter brings an inevitable end to the book, but not necessarily the project. I tie together the many of the ideas touched upon throughout by noting the two main contributions the book offers. Namely, more-than-human pedagogies as an educational offering and immanent praxiography as methodological approach. I present a condensed articulation of the idea of more-than-human pedagogies, linking to the various other chapters and examples. Following this, I discuss immanent praxiography, including some guiding principles for enactment. This chapter ends with a coda that reflects on the project. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Caffeine does not influence persistent inward current contribution to motoneuron firing
- Authors: Mackay, Karen , Orssatto, Lucas , Polman, Remco , Van der Pols, Jolieke , Trajano, Gabriel
- Date: 2023
- Type: Text , Journal article
- Relation: Journal of Neurophysiology Vol. 130, no. 6 (2023), p. 1529-1540
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- Description: The purpose of this study was to investigate whether caffeine consumption would change persistent inward current (PIC) contribution to motoneuron firing at increased contraction intensities and after repetitive sustained maximal contractions. Before and after the consumption of 6 mg·kg-1 of caffeine or placebo, 16 individuals performed isometric triangular-shaped ramp dorsiflexion contractions (to 20% and 40% of peak torque), followed by four maximal contractions sustained until torque production dropped to 60% of maximum, and consecutive 20% triangular-shaped contractions. Tibialis anterior motor unit firing frequencies were analyzed from high-density surface electromyograms. PIC contribution to motor unit firing was estimated by calculating the delta frequency (DF) using the paired motor unit technique. Motoneuron peak firing frequencies at 20% and 40% contractions and total torque-time integral during the repetitive sustained maximal contractions were also assessed. DF increased 0.69 peaks per second (pps) (95% CI ¼ -0.98, -0.405; d ¼ -0.87) from 20% to 40% contraction intensities and reduced 0.85 pps (95% CI ¼ 0.66, 1.05; d ¼ 0.99) after the repetitive sustained maximal contractions, regardless of caffeine consumption. Participants produced 337 Nm·s (95% CI ¼ 49.9, 624; d ¼ 0.63) more torque integral during the repetitive sustained maximal contractions after caffeine consumption. A strong repeated-measures correlation (r ¼ 0.61; 95% CI ¼ 0.49, 0.69) was observed between reductions of DF and peak firing frequencies after the repetitive sustained maximal contractions. PIC contribution to motoneuron firing increases from 20% to 40% contraction intensities, with no effect of caffeine (on rested tibialis anterior). Repetitive sustained maximal contractions reduced PIC contribution to motoneuron firing, regardless of caffeine or placebo consumption, evidencing that changes in intrinsic motoneuron properties contributed to performance loss. Caffeine-attenuated reduction of torque production capacity was unlikely mediated by PICs. © 2023 American Physiological Society. All rights reserved.
Catching the catfish : exploring gender and the dark tetrad of personality as predictors of catfishing perpetration
- Authors: Lauder, Cassandra , March, Evita
- Date: 2023
- Type: Text , Journal article
- Relation: Computers in Human Behavior Vol. 140, no. (2023), p.
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- Description: Catfishing, the act of deceiving and exploiting another person online, can have significant negative impact on the target. To date, limited research has explored individual differences in perpetration of catfishing. We address this paucity by adopting an evolutionary psychology theoretical framework (the “cheater strategy” hypothesis) and exploring the utility of gender and the “Dark Tetrad” personality traits of psychopathy, sadism, Machiavellianism, and narcissism to predict catfishing perpetration. A sample of 664 participants (55.8% men, 40.3% women) with an average age of 28.84 years (SD = 9.60) were recruited via social media and completed an anonymous online questionnaire which comprised measures of personality and catfishing behaviours. Combined, the variables explained 62.6% of variance in catfishing perpetration. Results partially supported the hypotheses, with only psychopathy, sadism, and narcissism emerging as positive predictors of catfishing perpetration. Findings of the current study indicate that evolutionary psychology may be a useful theoretical framework when exploring antisocial online behaviours. Further, these findings provide crucial information regarding the psychological profile of a “catfish” and may have important practical implications by informing the prevention and management of this online behaviour. © 2022 Elsevier Ltd
Causal deep operator networks for data-driven modeling of dynamical systems
- Authors: Nghiem, Truong , Nguyen, Thang , Nguyen, Binh , Nguyen, Linh
- Date: 2023
- Type: Text , Conference paper
- Relation: 2023 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2023, Hybrid, Honolulu, 1-4 October 2023, Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics p. 1136-1141
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- Description: The deep operator network (DeepONet) architecture is a promising approach for learning functional operators, that can represent dynamical systems described by ordinary or partial differential equations. However, it has two major limitations, namely its failures to account for initial conditions and to guarantee the temporal causality - a fundamental property of dynamical systems. This paper proposes a novel causal deep operator network (Causal-DeepONet) architecture for incorporating both the initial condition and the temporal causality into data-driven learning of dynamical systems, overcoming the limitations of the original DeepONet approach. This is achieved by adding an independent root network for the initial condition and independent branch networks conditioned, or switched on/off, by time-shifted step functions or sigmoid functions for expressing the temporal causality. The proposed architecture was evaluated and compared with two baseline deep neural network methods and the original DeepONet method on learning the thermal dynamics of a room in a building using real data. It was shown to not only achieve the best overall prediction accuracy but also enhance substantially the accuracy consistency in multistep predictions, which is crucial for predictive control. © 2023 IEEE.
Challenging court landscapes and opportunities for change
- Authors: Camilleri, Marg , Harkness, Alistair
- Date: 2023
- Type: Text , Book chapter
- Relation: Australian Courts : controversies, challenges and change Chapter 16 p. 367-390
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- Description: Courts are complex institutions which must constantly adjust to ensure that they are fulfilling their responsibilities to defendants, victims, witnesses, society and others who enter court spaces either virtually or physically. Courts must also manage their relationships with other agencies (whether justice or community) on whom they rely. Courts face an array of challenges in contemporary Australia, including the COVID-19 pandemic which has necessitated courts to pivot from inherently complex systems which are primarily public facing to virtual spaces which must continue to maintain the rule of law and to be open, transparent and subject to scrutiny. This chapter considers other challenges, too, which various courts and those who work in, with or appear before are facing. It assesses a suite of potential micro and macro reforms, advocating for ongoing systemic and structural change.
Changes in grit and psychological capital at the time of major crisis : nursing students' perseverance, resources, and resilience
- Authors: Terry, Daniel , Peck, Blake , Biangone, Marianne
- Date: 2023
- Type: Text , Journal article
- Relation: International Journal of Nursing Education Scholarship Vol. 20, no. 1 (2023), p.
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- Description: Objectives: To examine changes in grit and psychological capital among nursing students prior to, during the height of the pandemic, and more than 12 months after the initial pandemic announcement. Methods: A cross-sectional study design addressed the aim of the study. Nursing students undertaking a three-year baccalaureate degree between 2019 and 2021 were included. Results: Mean grit levels among the n=818 unique student participants were significantly lower in 2020 than in 2019 and 2021; however, no significant difference was detected for psychological capital over the same period. Conclusions: Although normative day-to-day challenges may aid grit development, a major event has a negative impact yet has a buffering effect of negative life events at the time of a crisis. The study further placates that psychological capital remains malleable and open to change at the time of a crisis and may be an essential mechanism to mediate grit and has the capacity to influence student performance over time. It remains essential to develop grit through the mediating elements of psychological capital to enable nursing student to undertake academic studies, particularly in the event of major challenges, such approaches may further enable students' endurance to withstand major crises as they enter the workforce. © 2023 Walter de Gruyter GmbH, Berlin/Boston.
Citizen science and natural resource management : a social network analysis of two community-based water monitoring programs
- Authors: Bonney, Patrick , Hansen, Birgita , Baldwin, Claudia
- Date: 2023
- Type: Text , Journal article
- Relation: Society and Natural Resources Vol. 36, no. 6 (2023), p. 600-621
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- Description: In natural resource management contexts, citizen science programs often involve a diversity of actors collaborating in broad social networks. However, the characteristics and functioning of these networks has received limited attention. In this article, we demonstrate the benefits of applying social network research to citizen science practice. Through a mixed methods approach, we compare data sharing and collaboration networks of two community-based water monitoring programs in Australia. The quantitative component revealed that despite similarities in actor diversity and activities, both programs have created divergent network structures (centralized vs decentralized) corresponding to their scale of influence in environmental decision-making (regional vs local impacts). The qualitative component showed how individuals navigated their relationships and managed key tensions inherent to network functioning. This study provides new insights on the role of social networks in citizen science and concludes by recommending program leaders adopt a “networking mindset” to maximize their sphere of influence. © 2023 Taylor & Francis Group, LLC.
Classification of Twitter users with eating disorder engagement : learning from the biographies
- Authors: Abuhassan, Mohammad , Anwar, Tarique , Fuller-Tyszkiewicz, Matthew , Jarman, Hannah , Shatte, Adrian , Liu, Chengfei , Sukunesan, Suku
- Date: 2023
- Type: Text , Journal article
- Relation: Computers in Human Behavior Vol. 140, no. (2023), p.
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- Description: Individuals with an Eating Disorder (ED) are typically reluctant to seek help via traditional means (e.g., psychologists). However, recent evidence suggests that many individuals seek assistance via social media for weight and diet related concerns. Sophisticated approaches are needed to better distinguish those who may be in need of help for an ED from those who are simply commenting on ED in online social environments. In order to facilitate effective communication between individuals with or at-risk of an ED and healthcare professionals, this research exploits a deep learning model to differentiate the users with ED engagement (e.g., ED sufferers, healthcare professionals or communicators) over social media. For this purpose, a collection of Twitter data is compiled using Twitter application programming interface (API) on the Australian Research Data Commons (ARDC) Nectar research cloud. After collecting 1,400,000 Twitter biographies in total, a subset of 4000 biographies are annotated manually. This annotation enables the differentiation of users engaged with ED-focused language on social media into five categories: ED-user, healthcare professional, communicator, healthcare professional-communicator, and other. Based on these annotated categories, a predictive deep learning model based on bidirectional encoder representations from transformers (BERT) and long short-term memory (LSTM) is developed. The model achieves an F1 score of 98.19% and an accuracy of 98.37%. It demonstrates the viability of detecting the individuals with possible ED risk and distinguishes them from other categories using their biography data. We further conducted a network analysis for investigating the communication network between these categories. Our analysis shows that ED-users are more secretive and self-protective, whereas the healthcare professionals and communicators frequently interact with each other and a wide range of other people. To the best of our knowledge, our research is the first of its kind for identifying the different user categories engaged with ED-focused communications on social media. © 2022
Climate-driven animal mass mortality events : is there a role for scavengers?
- Authors: Barton, Philip , Reboldi, Anna , Bonat, Stefanie , Mateo-Tomás, Patricia , Newsome, Thomas
- Date: 2023
- Type: Text , Journal article
- Relation: Environmental conservation Vol. 50, no. 1 (2023), p. 1-6
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- Description: Summary Animal mass mortality events (MMEs) will increase with weather and climate extremes. MMEs can add significant stress to ecosystems through extraordinary nutrient pulses or contribute to potential disease transmission risks. Given their efficient removal of carrion biomass from landscapes, we argue here for the potential of scavenger guilds to be a key nature-based solution to mitigating MME effects. However, we caution that scavenger guilds alone will not be a silver bullet. It is critical for further research to identify how the composition of scavenger guilds and the magnitude of MMEs will determine when scavengers will buffer the impacts of such events on ecosystems and when intervention might be required. Some MMEs are too large for scavengers to remove efficiently, and there is a risk of MMEs subsidizing pest species, altering nutrient cycling or leading to disease spread. Prioritizing native scavenger taxa in conservation management policies may help to boost ecosystem resilience through preserving their key ecological services. This should be part of a multi-pronged approach to MME mitigation that combines scavenger conservation with practices such as carcass dispersal or removal when exceeding a threshold quantity. Policymakers are urged to identify such thresholds and to recognize both the insects and the vertebrate scavengers that could act as allies for mitigating the emerging problem of climate-driven MMEs.
Clinically prioritized data visualization in remote patient monitoring
- Authors: Arora, Teena , Balasubramanian, Venki , Stranieri, Andrew , Neupane, Arun
- Date: 2023
- Type: Text , Conference paper
- Relation: 19th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2023, Montreal, Canada, 21-23 June 2023, International Conference on Wireless and Mobile Computing, Networking and Communications Vol. 2023-June, p. 5-12
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- Description: Understanding and integrating physiological data collected from wearable sensors in remote patient monitoring (RPM) is challenging. Data streams may be interrupted due to the sensor's sensitivity, movement, and electromagnetic interference leading to inconsistent, missing, and inaccurate data. Existing approaches to summarize data flows into a single score such as the traditional Modified early warning score (MEWS) is limited. Data visualization approaches have the potential to address this challenge, but few studies have focused on visualization of RPM streams. The study presents a transformation of observed raw RPM physiological data into parameters identified as trust, frequency, slope, and trend. This facilitated visualization and enabled automated assessments of prioritized alerts. Experimental results have shown that the transformations led to the prioritization of clinically significant conditions, and improved visualization has the potential to better support clinical decisions compared with traditional MEWS. © 2023 IEEE.
Clinician perspectives of the evidence underpinning suicide risk assessment : a mixed methods study
- Authors: Grant, Kellie , Whitwam, Louisa , Martin, Jennifer , White, Jennifer , Haines, Terry
- Date: 2023
- Type: Text , Journal article
- Relation: Australian Social Work Vol. 76, no. 4 (2023), p. 562-574
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- Description: In recent years, suicide risk assessment has become the subject of a vigorous academic debate, due in part to several meta-analyses that have cast doubt on the accuracy of risk categorisation. Little is known about how clinicians make sense of this academic debate. However, it is anticipated that it may pose a tension due to organisational expectations that multidisciplinary health professionals, including social workers, assess and manage suicide risk. As part of a larger mixed methods study to be reported elsewhere, we conducted a qualitative study aiming to explore clinician perspectives on the evidence underpinning suicide risk assessment before and after being presented with the results of two meta-analyses. Findings highlight three modes of reasoning: academic, emotive, and experiential. Perceptions of accuracy of assessing suicide risk at baseline interviews and after hearing the evidence were influenced by heuristics and cognitive biases. IMPLICATIONS Mental health practitioners, including social workers, employed in mental health settings may be more likely to use experiential reasoning to inform their practice in suicide risk assessment. Social work practitioners in general health settings may be more likely to use academic reasoning when making decisions about suicide risk assessment. Further research is required on how social workers and other mental health professionals can best respond to the crisis of suicide. © 2021 Australian Association of Social Workers.
Co-slagging characteristics of coal and biomass ashes considering entrained flow slagging gasifier
- Authors: Shahabuddin, M. , Bhattacharya, Sankar , Srivatsa, Srikanth
- Date: 2023
- Type: Text , Journal article
- Relation: Biomass Conversion and Biorefinery Vol. 13, no. 3 (2023), p. 1681-1690
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- Description: This study systematically investigated the co-slagging characteristics of high-rank coal and biomass ashes considering entrained flow slagging gasifier. Despite favourable performance parameters, coal might not be feasible for entrained flow gasification because of not forming slag within the gasifier operating temperature (1200–1500 °C). To overcome this issue, co-gasification can be a potential solution, which simultaneously helps to reduce the carbon footprint and environmental impact. Hence, this study studied the feasibility of co-gasification of coal and biomass by testing co-slagging behaviour of bituminous coal and pine park biomass ashes. The slag viscosity is measured using a Brookfield DV-III Ultra rheometer coupled with a high-temperature furnace. Results show that pure coal ash does not form slag using the maximum furnace temperature of 1670 °C. However, co-slagging by 50/50 (wt./wt.) ratio of coal and biomass ash (PB50) significantly drops the slagging temperature due to the higher fluxing agents (i.e. CaO) in biomass ash. The temperature of critical viscosity was determined to be 1390 °C using PB50 ash, which maintained the maximum industrial viscosity limit of 25 Pa s up to the temperature of 1360 °C. © 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature.
Cognitive AmBC-NOMA IoV-MTS networks with IQI : reliability and security analysis
- Authors: Li, Xingwang , Zheng, Yike , Alshehri, Mohammad , Hai, Linpeng , Balasubramanian, Venki , Zeng, Ming , Nie, Gaofeng
- Date: 2023
- Type: Text , Journal article
- Relation: IEEE Transactions on Intelligent Transportation Systems Vol. 24, no. 2 (2023), p. 2596-2607
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- Description: Internet-of-Vehicle (IoV) enabled Maritime Transportation Systems (MTS) communication is anticipated to support ultra-reliable and low latency, diverse quality-of-service (QoS) and large-scale connectivities. To meet such stringent demands, a cognitive ambient backscatter non-orthogonal multiple access (C-AmBC-NOMA) IoV-MTS network is proposed. We explore the reliable and secure performance of the proposed C-AmBC-NOMA IoV-MTS network with in-phase and quadrature phase imbalance (IQI) at radio-frequency (RF) front-ends and the existence of an eavesdropper. In particular, the analytical expressions on the outage probability (OP) and intercept probability (IP) are obtained after a series of calculations. For a deeper understanding, we discuss the asymptotic behavior of OPs in the high signal-to-noise ratio (SNR) region, the diversity orders of OPs, and IPs in the high main-to-eavesdropper ratio (MER) regime. The results of Monte-Carlo simulation and a series of corresponding theoretical analysis show that: i) As the SNR approaches infinity, the OPs tend to be fixed non-negative values, indicating that the diversity orders of the OPs have error floors; ii) When the MER approaches infinity, the IPs of legitimate users decrease continuously, while the IP of backscatter device (BD) increases; iii) Compared with the system performance under ideal condition, the system performance is less reliable under IQI condition, but the security performance is enhanced; iv) By carefully selecting the system parameters, a trade-off can be achieved between reliability and security. © 2000-2011 IEEE.
Collecting data for equity and justice: approaches and methods for collecting sex and gender data
- Authors: Arora, Aparna , Brindaalakshmi, K. , Kutch, Bren , Rydergaard, Erika , van der Merwe, Leigh , Zavros-Orr, Agli
- Date: 2023
- Type: Text , Book chapter
- Relation: Handbook of Research on Exploring Gender Equity, Diversity, and Inclusion Through an Intersectional Lens Chapter 12 p. 236-263
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- Description: This chapter seeks to address the challenge of collecting data about individual and interpersonal experiences of sex and gender to advance justice and equity in a context where gender and sex classifications have been used to erase and subdue non-conforming identities. The authors outline the field of previous studies on the topic, then illustrate the need for data collection with a human rights approach illustrated by case studies from three geographical contexts. First, the importance of accurate and just data for equitable access to public services is highlighted through a case study of transgender inclusion in public data in India. Second, the importance of collecting data with communities is illustrated through the example of a feminist association of transgender women based in South Africa. Finally, the authors provide ideas for designing data collection instruments, illustrated through changes in the Australian data collection standards initiated by advocacy and activist groups. © 2023 by IGI Global.
Common high-speed running thresholds likely do not correspond to high-speed running in field sports
- Authors: Freeman, Brock , Talpey, Scott , James, Lachlan , Opar, David , Young, Warren
- Date: 2023
- Type: Text , Journal article
- Relation: Journal of Strength and Conditioning Research Vol. 37, no. 7 (2023), p. 1411-1418
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- Description: The purpose of this study was to clarify what percentage of maximum speed is associated with various running gaits. Fifteen amateur field sport athletes (age = 23 ± 3.6 years) participated in a series of 55-meter running trials. The speed of each trial was determined by instructions relating to 5 previously identified gait patterns (jog, run, stride, near maximum sprint, and sprint). Each trial was filmed in slow motion (240 fps), whereas running speed was obtained using Global Positioning Systems. Contact time, stride angle, and midstance free-leg knee angle were determined from video footage. Running gaits corresponded with the following running speeds, jogging = 4.51 m·s-1, 56%Vmax, running = 5.41 m·s-1, 66%Vmax,striding = 6.37 m·s-1, 78%Vmax, near maximum sprinting = 7.08 m·s-1, 87%Vmax, and sprinting = 8.15 m·s-1, 100%Vmax. Significant (p < 0.05) increases in stride angle were observed as running speed increased. Significant (p < 0.05) decreases were observed in contact time and midstance free-leg knee angle as running speed increased. These findings suggest currently used thresholds for high-speed running (HSR) and sprinting most likely correspond with jogging and striding, which likely underestimates the true HSR demands. Therefore, a higher relative speed could be used to describe HSR and sprinting more accurately in field sports. © 2023 NSCA National Strength and Conditioning Association. All rights reserved.
Comparing catastrophes : the influence of impacts and timelines on prioritising crises
- Authors: Gell, Peter
- Date: 2023
- Type: Text , Journal article
- Relation: AIP Conference Proceedings Vol. 2683, no. 1 (2023), p. 030001
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- Description: Across time society has been confronted with a wide range of crises that have required measured responses. The COVID-19 pandemic was widely forecast, but governmental preparation was lacking. Even when it was spreading, its risks to society were downplayed in some quarters. The climate change crisis has also been widely forecast, and preparation has been slow, with vested interests also denying the science or downplaying the risk. The pandemic is an acute crisis with rapid onset and highly visible impacts on human life and wellbeing. Through vaccine technology, however, there is a short term and likely effective management measure available. Climate change is a diffuse crisis with long lead times. In contrast to Covid, it has momentum and, once thresholds are exceeded, measures to reverse the change will have limited effectiveness. While the implications of carbonising our atmosphere were known over 50 years ago, the socio-economic response is only now taking hold. The slow nature of this crisis has subdued the political response, and the Earth is now committed to considerable impacts, even if we collectively act decisively now. The gradual nature of this crisis, its opaque direct impacts on humanity, and the scale of its complexity render it a ‘wicked’ problem that will persist through this century and beyond. Scenarios of impact across multiple quarters assure us that the costs of unabated climate change will result in a global scale crisis, played out in many individual locations for many decades. Aware of this, society is already investing in adapting to the changes that are foreseen while also beginning the process of mitigating carbon emissions to limit the scale of the challenge. In some places, this may mean preparing economies for drier climates, while in others, it may mean a managed retreat from the present coastline. Providing refuge from heatwaves will be a widespread adaptation measure. For nature, its capacity to adapt will be strengthened if the pressure from humans is also mitigated.
Comprehensive analysis of feature extraction techniques and runtime performance evaluation for phishing detection
- Authors: Nath, Subrata , Islam, Mohammad , Chowdhury, Abdullahi , Rashid, Mohammad , Islam, Maheen , Jabid, Taskeed , Naha, Ranesh
- Date: 2023
- Type: Text , Conference paper
- Relation: 6th International Conference on Applied Computational Intelligence in Information Systems, ACIIS 2023, Bandar Seri Bagawan, Brunei, 23-25 October 2023, 2023 6th International Conference on Applied Computational Intelligence in Information Systems: Intelligent and Resilient Digital Innovations for Sustainable Living, ACIIS 2023 - Proceedings
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- Description: The digital landscape is continually evolving, bringing with it numerous cybersecurity challenges, notably the rise of phishing websites targeting unsuspecting users. These deceptive websites jeopardize digital identities, emphasizing the critical need for precise detection mechanisms. This research provides a deep analysis of feature extraction nuances and critically evaluates the runtime performance of detection models. Through intensive refinement of Random Forest classification models, an integrative approach is adopted, which encompasses feature selection, outlier mitigation, and hyperparameter optimization using advanced data mining techniques. Leveraging a pre-established dataset with 87 distinct features from 11,430 URLs, this research narrows down the features to a pivotal set of 56. The outcome is a robust model that achieves an accuracy of 97.069% and a precision rate of 97.326%. A noteworthy aspect of this study is the incorporation of ensemble models, which amplify prediction accuracy by harnessing the capabilities of multiple algorithms. By employing the ensemble approach, the research ensures the model's heightened accuracy and adaptability, making it resilient against ever-changing phishing strategies. The findings underscore the symbiotic relationship between comprehensive feature extraction techniques and the paramount importance of runtime efficiency, laying the groundwork for a fortified digital landscape. © 2023 IEEE.