Association of fear of negative evaluation with performance anxiety : mediation by negative self-statements and moderation by positive self-statements during performance in adults
- Authors: Gomez, Rapson , Watson, Shaun , Brown, Taylor
- Date: 2023
- Type: Text , Journal article
- Relation: Journal of Psychopathology and Behavioral Assessment Vol. 45, no. 3 (2023), p. 650-658
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- Description: Using individual differences constructs, the current study used cross-sectional data to examine the mediating role of negative self-statements during public speaking on the relationship between fear of negative evaluation and public speaking anxiety (a type of performance anxiety), and how this relationship was moderated by positive self-statements during public performance. The sample comprised 319 adults (men = 105, women = 214) from the general Australian community, with ages ranging from 18 years to 65 years. All participants completed questionnaires covering the different study variables. The findings showed that there was partial mediation by negative self-statements on the relationship between fear of negative evaluation and performance anxiety. There were also moderation effects by positive self-statements for this relationship. Additionally, moderation by positive self-statements was evident at all levels of positive self-statements. The theoretical and clinical implications of the findings for public speaking anxiety are discussed. © 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
Associations of reinforcement sensitivity theory personality constructs, cognitive biases for negative and threatening social information, and social anxiety
- Authors: Gomez, Rapson , Watson, Shaun , Stavropoulos, Vasileios , Typuszak, Natasha
- Date: 2023
- Type: Text , Journal article
- Relation: Current Psychology Vol. 42, no. 17 (2023), p. 14159-14170
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- Description: Background: Using Kimbrel’s (2008) mediation model of social anxiety as a theoretical framework, the primary aim of the current study was to use path analysis to examine how biased cognitions for negative and threatening social information mediated the relationships for the personality constructs of the reinforcement sensitivity theory (RST) with generalized and specific social anxiety (target mediation model). A secondary aim was to examine reverse mediation testing (RMT) models, in which the social anxiety constructs were viewed as mediating the relations between RST constructs and biased social cognition constructs. Methods: A total of 302 (males = 101, females = 201) adults (age ranging from 18 to 65 years) from the general community completed questionnaires measuring the behavioral inhibition system/fight-flight-freeze system (BIS/FFFS), the behavioral approach system (BAS), social comparison (SC), social ineptness (SI), and generalized and specific social anxiety. Results: The findings for the target mediation model showed that there was support for indirect effects for the BIS/FFFS and the BAS on generalized and specific social anxiety through SC and SI. For the RMT model, there was support for the indirect effect of the RST constructs with SI through generalized social anxiety. However, specific generalized anxiety did not mediate the relations of the BIS/FFFS and BAS to SC. Conclusions: The findings highlight the importance of cognitive therapy that targets SC and SI in the treatment of social anxiety, especially among those with high BIS/FFFS and low BAS. © 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
Automated methods for diagnosis of Parkinson’s disease and predicting severity level
- Authors: Ayaz, Zainab , Naz, Saeeda , Khan, Naila , Razzak, Imran , Imran, Muhammad
- Date: 2023
- Type: Text , Journal article
- Relation: Neural Computing and Applications Vol. 35, no. 20 (2023), p. 14499-14534
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- Description: The recent advancements in information technology and bioinformatics have led to exceptional contributions in medical sciences. Extensive developments have been recorded for digital devices, thermometers, digital equipments and health monitoring systems for the automated disease diagnosis of different diseases. These automated systems assist doctors with accurate and efficient disease diagnosis. Parkinson’s disease is a neurodegenerative disorder that affects the nervous system. Over the years, numerous efforts have been reported for the efficient automatic detection of Parkinson’s disease. Different datasets including voice data samples, radiology images, and handwriting samples and gait specimens have been used for analysis and detection. Techniques such as machine learning and deep learning have been used broadly and reported promising results. This review paper aims to provide a comprehensive survey of the use of artificial intelligence for Parkinson’s disease diagnosis. The available datasets and their various properties are discussed in detail. Further, a thorough overview is provided for the existing algorithms, methods and approaches utilizing different datasets. Several key peculiarities and challenges are also provided based on the comprehensive literature review to diagnose a healthy or unhealthy person. © 2021, The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature.
Behavioural indicators of compassionate nursing care of individuals with complex needs : a naturalistic inquiry
- Authors: Younas, Ahtisham , Porr, Caroline , Maddigan, Joy , Moore, Julia , Navarro, Pablo , Whitehead, Dean
- Date: 2023
- Type: Text , Journal article
- Relation: Journal of Clinical Nursing Vol. 32, no. 13-14 (2023), p. 4024-4036
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- Description: Aims and objectives: To explore behavioural indicators of compassionate nursing care from the perspectives of individuals with multimorbidities and complex needs. Background: Complex patients are individuals with multimorbidity and/or mental health concerns, andoften with medication and drug-related problems requiring ongoing person-centered care, mental health interventions, and family and community resources. They are frequent consumers of health-care services and it is documented that these patients experience discrimination and substandard care. Compassionate care can improve patient care experiences and health outcomes. However, missing is the guidance on how to provide compassionate care for this population from the perspectives of complex patients. Design: A qualitative descriptive approach was conducted in eastern Canada from December 2020–April 2021. The COREQ guidelines were followed for reporting. Methods: Data from in-person and virtual semi-structured interviews with 23 individuals having experiences as complex patients were analysed using reflexive thematic analysis. Among them 19 were homeless and lived in a shelter. Findings: Six indicators of compassionate nursing care were generated: sensitivity, awareness, a non-judgmental approach, a positive demeanour, empathic understanding, and altruism. Conclusions: Individuals perceived that nurses who acknowledge personal biases are better at providing compassionate care by manifesting compassion through their genuine and selfless interest in the complicated health problems and underlying socio-cultural determinants of each patient. Kindness, positivity, and a respectful nursing approach elicit openness and the sharing of heartfelt concerns. Relevance to clinical practice: Comprehensive health assessment, dedicated efforts to know the patient as a human being, and listening to the patient's preferences can improve health outcomes among individuals with complex needs. Healthcare administrators can effect the change by supporting nurses to address complex health and social care needs with compassion. Patient or public contribution: Patients and healthcare professionals helped in data collection at the community care centre. © 2022 John Wiley & Sons Ltd.
Benchmark23 : undergraduate visual arts
- Date: 2023
- Type: Text , Artwork , Visual art work
- Full Text: false
- Description: BENCHMARK23 UNDERGRADUATE VISUAL ARTS THU 20 JUL - SUN 13 AUG 2023 Please join us for the students' exhibition opening on Fri 21 July @5, for 5.30pm. All welcome! An important annual Arts Academy Visual Arts undergraduate students’ exhibition, BENCHMARK showcases a rich mix of works of art completed individually and collaboratively across a broad range of media and studio areas, including painting, printmaking, ceramics and digital media. Here, students not only illustrate high levels of creative skill and ingenuity but also reveal complex concepts and ideas that underpin dynamic approaches, styles and interpretations. *OPEN FOR 'OPEN DAY' SUN 13 AUG 2023 Image: Peta Kalisperis Untitled, 2023 linoprint on paper H76 X W56 cm Courtesy the artist
Bidialectal CALD learners of English : implications on bilingual language disorders and differential diagnosis1
- Authors: Han, Weifeng , Brebner, Chris
- Date: 2023
- Type: Text , Book chapter
- Relation: Typical and Atypical Language Development in Cultural and Linguistic Diversity Chapter 10 p. 195-210
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- Description: Bidialectal learners are found to have better language awareness than monodialectal speakers in their first language (L1). However, few studies have investigated the role of L1 bidialectism in second language (L2) acquisition. Therefore, little is known as to whether error patterns in L2 are caused by learners’ diverse L1 dialectal backgrounds. This study investigates the role of L1 bidialectism on L2, particularly the syntax-semantics interface. Participants were 78 L1-monodialectal (Mandarin) and 79 L1-bidialectal (Mandarin and Wu) English L2 learners. All participants completed a sentence-picture matching task of 40 sentences that were different at the syntax-semantics interface between L1 and L2. The participants performing in the top and bottom 10% were interviewed. The results were both quantitatively and qualitatively analysed. An L1 bidialectal advantage in comprehension at the L2 syntax-semantics interface was found when the interface yields more readings in L2 than in L1. This study provides evidence that L1 bidialectism is an important factor to consider in second language acquisition and speech-language pathology studies. For clinicians, this provides evidence that bidialectism may also impact culturally and linguistically diverse children’s L2 performance and should be considered when making a differential diagnosis between language differences and disorders. © 2024 selection and editorial matter, Weifeng Han and Chris Brebner; individual chapters, the contributors.
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.
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
- Full Text: false
- Reviewed:
- 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
- Full Text: false
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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
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.
Changes in soil physicochemical and water properties in response to exotic acacia invasion in a Bornean coastal heath forest
- Authors: Ibrahim, Mohamad , Sukri, Rahayu , Tennakoon, Kushan , Rosli, Nurul , Metali, Faizah
- Date: 2023
- Type: Text , Journal article
- Relation: Journal of Soil Science and Plant Nutrition Vol. 23, no. 3 (2023), p. 3393-3406
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- Description: This study investigates the impacts of Acacia invasion on Bornean heath forest (HF) soils. Soil profiles and water properties at one soil depth (< 1 m) and physicochemical properties with Soil Fertility Index(SFI) and Soil Evaluation Factor (SEF) from the topsoil or three soil depths of Acacia-invaded and non-invaded HF were assessed. Acacia invasion modified soil profiles by producing thicker horizons O and B but waning horizon E. Thick leaf litter layer in invaded HF was associated with a significant decrease in soil bulk density, moisture, organic matter (OM), total organic carbon, water volume, and NH4+ but a significant increase in soil temperature, and soil water pH, NO3
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.
- Full Text: false
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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
- Full Text: false
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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
- Full Text: false
- Reviewed:
- 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
- Full Text: false
- Reviewed:
- 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
- Full Text: false
- Reviewed:
- 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.