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Factor structure of the symptoms of alcohol use, gaming, and gambling addictions

- Gomez, Rapson, Stavropoulos, Vasileios, Brown, Taylor, Watson, Shaun

  • Authors: Gomez, Rapson , Stavropoulos, Vasileios , Brown, Taylor , Watson, Shaun
  • Date: 2023
  • Type: Text , Journal article
  • Relation: International Journal of Mental Health and Addiction Vol. 21, no. 5 (2023), p. 3345-3361
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  • Description: Alcohol use, gaming, and gambling addictions are recognized in some form by the major clinical classification symptoms. The current study applied confirmatory factor analysis (CFA) models to compare four different models comprising the symptoms of these addictions. The four models were one-factor (all different types of addiction symptoms loading on a single factor), two-factor (alcohol use and internet/gambling latent factors), three-factor (alcohol use, internet gaming, and gambling symptoms loading only on their respective target latent factors), and bi-factor (alcohol use, internet gaming, and gambling symptoms loading on their respective target latent factor and also on the general addiction factor) models. A general community sample of 968 adults (males = 622, females = 315) completed rating scales with symptoms for the three addictions and also for drug use addiction and distress. Both the three-factor and bi-factor models showed a good fit. However, between these models, only the factors of the three-factor model showed good clarity, reliabilities, and external validities, thereby suggesting that this be the best model to represent ratings of alcohol use, internet gaming, and gambling together. The theoretical, taxonomic, and clinical implications of the findings are discussed. © 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Factors influencing the timeliness of care for patients with lung cancer in Bangladesh

- Ansar, Adnan, Lewis, Virginia, McDonald, Christine, Liu, Chaojie, Rahman, Muhammad Aziz

  • Authors: Ansar, Adnan , Lewis, Virginia , McDonald, Christine , Liu, Chaojie , Rahman, Muhammad Aziz
  • Date: 2023
  • Type: Text , Journal article
  • Relation: BMC Health Services Research Vol. 23, no. 1 (2023), p.
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  • Description: Background: This study explored the factors associated with timeliness of care in the healthcare seeking pathway among patients with lung cancer in Bangladesh. Methods: A structured questionnaire was used for data collection from 418 patients with lung cancer through face-to-face interviews in three tertiary care hospitals. Log-rank tests were performed to test differences in the length of intervals between points in healthcare by socioeconomic characteristics and care seeking behaviours of the patients. Cox Proportional Hazard (PH) regression analysis was performed to identify the predictors of the intervals after adjustment for variations in other variables. Results: A higher education level was associated significantly (p < 0.05) with a shorter interval between first contact with a healthcare provider (HCP) and diagnosis (median 81 days) and initiation of treatment (median 101 days). Higher monthly household income was associated significantly with a shorter time from first contact and diagnosis (median 91 days), onset of symptom and diagnosis (median 99 days), onset of symptom and treatment (median 122 days), and first contact with any HCP to treatment (median 111 days). Consulting with additional HCPs prior to diagnosis was associated significantly with longer intervals from first contact with any HCP and diagnosis (median 127 days), onset of symptom and diagnosis (median 154 days), onset of symptom and treatment (median 205 days), and first contact with any HCP to treatment (median 174 days). Consulting with informal HCPs was associated significantly with a longer time interval from symptom to treatment (median 171 days). Having more than one triggering symptom was associated significantly with a shorter interval between onset of symptoms and first contact with any HCP. Conclusion: The predictors for timeliness of lung cancer care used in this study affected different intervals in the care seeking pathway. Higher education and income predicted shorter intervals whereas consulting informal healthcare providers and multiple providers were associated with longer intervals. © 2023, The Author(s).

Falls risk perception measures in hospital : a COSMIN systematic review

- Dabkowski, Elissa, Missen, Karen, Duncan, Jhodie, Cooper, Simon

  • Authors: Dabkowski, Elissa , Missen, Karen , Duncan, Jhodie , Cooper, Simon
  • Date: 2023
  • Type: Text , Journal article , Review
  • Relation: Journal of Patient-Reported Outcomes Vol. 7, no. 1 (2023), p.
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  • Description: Falls prevention in hospital continues to be a research priority because of the poor health outcomes and financial burdens that can arise. Recently updated World Guidelines for Falls Prevention and Management strongly recommend evaluating patients’ concerns about falling as part of a multifactorial assessment. The aim of this systematic review was to evaluate the quality of falls risk perception measures for adults in a hospital setting. This review was conducted using the Consensus-based Standards for the selection of health Measurement Instruments guidelines and provides a comprehensive summary of these instruments, including psychometric properties, feasibility and clinical recommendations for their use. The review followed a prospectively registered protocol, in which a total of ten databases were searched between the years 2002 and 2022. Studies were included if the instruments measured falls risk perception and/or other psychological falls constructs, if they were conducted in a hospital setting and if the target population contained hospital inpatients. A total of 18 studies met the inclusion criteria, encompassing 20 falls risk perception measures. These falls risk perception instruments were grouped into five falls-related constructs: Balance Confidence, Falls Efficacy/Concern, Fear of Falling, Self-Awareness and Behaviour/Intention. Two of the patient reported outcome measures (PROMs) received Class A recommendations (Falls Risk Perception Questionnaire and the Spinal Cord Injury-Falls Concern Scale); however, this rating is only applicable for the populations/context described in the studies. Thirteen PROMs received Class B recommendations, solidifying the need for further validation studies of these PROMs. © 2023, The Author(s).

Fatigue behavior and digital image correlation monitoring of steel plates with mixed-mode edge cracks repaired with CFRP materials

- Chen, Tao, Ye, Mao, Yao, Cheng, Xiao, Zhigang

  • Authors: Chen, Tao , Ye, Mao , Yao, Cheng , Xiao, Zhigang
  • Date: 2023
  • Type: Text , Journal article
  • Relation: Composite Structures Vol. 304, no. (2023), p.
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  • Description: In recent years, carbon fiber reinforced polymer (CFRP) has been widely used to improve the fatigue behavior of steel structures, while most relevant studies were focused on steel components with mode I cracks. This study aims to investigate the fatigue behavior of steel plates with mixed-mode I/II edge cracks patched with CFRP sheets or plates. A total of eleven specimens were fabricated and tested. A digital image correlation (DIC) system was employed as a non-contact measurement to monitor the fatigue crack propagation. Post-processed displacement fields were used to calculate stress intensity factors (SIFs) near the crack tips. Experimental results showed that double-sided CFRP repairing could significantly improve the fatigue life of edge-cracked specimens, especially those with mode I crack rather than mixed-mode I/II crack. Corresponding finite element (FE) analyses were conducted, and good consistency was achieved with test results of crack growth trajectories and fatigue lives. Further FE analysis considered three parameters: load application angle, CFRP layer number, and initial damage level. © 2022 Elsevier Ltd

Federated learning based trajectory optimization for UAV enabled MEC

- Nehra, Anushka, Consul, Prakhar, Budhiraja, Ishan, Kaur, Gagandeep, Nasser, Nidal, Imran, Muhammad

  • Authors: Nehra, Anushka , Consul, Prakhar , Budhiraja, Ishan , Kaur, Gagandeep , Nasser, Nidal , Imran, Muhammad
  • Date: 2023
  • Type: Text , Conference paper
  • Relation: 2023 IEEE International Conference on Communications, ICC 2023 Vol. 2023-May, p. 1640-1645
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  • Description: We present a moving mobile edge computing architecture in which unmanned aerial vehicles (UAV) serve as an equipment, providing computational power and allowing task offloading from mobile devices (MD). By improving user association, resource allocation, and UAV trajectory, we optimizing the energy consumption of all MDs. Towards that purpose, we provide a Trajectory optimization technique for making real-time choices while considering all the situation of the environment, followed by a DRL-based Trajectory control approach (RLCT). The RLCT approach may be adapted to any UAV takeoff point and can find the solution faster. The FL is introduced to address the Optimization problem in a Semi-distributed DRL technique to deal with UAV trajectory constraints. The proposed FRL approach enables devices to rapidly train the models locally while communicating with a local server to construct a network globally. The simulation results in the result section shows that the proposed technique RLCT and FRL in the paper outperforms the existing methods' while the FRL performs best among all. © 2023 IEEE.

Finding compact and well-separated clusters : clustering using silhouette coefficients

- Bagirov, Adil, Aliguliyev, Ramiz, Sultanova, Nargiz

  • Authors: Bagirov, Adil , Aliguliyev, Ramiz , Sultanova, Nargiz
  • Date: 2023
  • Type: Text , Journal article
  • Relation: Pattern Recognition Vol. 135, no. (2023), p.
  • Relation: http://purl.org/au-research/grants/arc/DP190100580
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  • Description: Finding compact and well-separated clusters in data sets is a challenging task. Most clustering algorithms try to minimize certain clustering objective functions. These functions usually reflect the intra-cluster similarity and inter-cluster dissimilarity. However, the use of such functions alone may not lead to the finding of well-separated and, in some cases, compact clusters. Therefore additional measures, called cluster validity indices, are used to estimate the true number of well-separated and compact clusters. Some of these indices are well-suited to be included into the optimization model of the clustering problem. Silhouette coefficients are among such indices. In this paper, a new optimization model of the clustering problem is developed where the clustering function is used as an objective and silhouette coefficients are used to formulate constraints. Then an algorithm, called CLUSCO (CLustering Using Silhouette COefficients), is designed to construct clusters incrementally. Three schemes are discussed to reduce the computational complexity of the algorithm. Its performance is evaluated using fourteen real-world data sets and compared with that of three state-of-the-art clustering algorithms. Results show that the CLUSCO is able to compute compact clusters which are significantly better separable in comparison with those obtained by other algorithms. © 2022 Elsevier Ltd

Fine-grained image classification based on knowledge distillation

- Liu, Ying, Feng, Hao, Zhang, Weidong, Fang, Jie, Xiao, Peng, Zhang, Dengsheng

  • Authors: Liu, Ying , Feng, Hao , Zhang, Weidong , Fang, Jie , Xiao, Peng , Zhang, Dengsheng
  • Date: 2023
  • Type: Text , Conference paper
  • Relation: 19th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2023, Harbin, China, 29-31 July 2023, 2023 19th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)
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  • Description: Despite the outstanding performance of deep learning-based fine-grained image classification methods, the commonly used models still suffer from high cost of computation and memory Therefore, this paper proposes a mobile-based CNN network that focuses on discriminative features of fine-grained images by embedding a hybrid-domain attention module to achieve higher accuracy in recognition. Specifically, under the premise of reducing network parameters, this paper presents a classification method that combines transfer learning and knowledge distillation to enhance the model's generalization performance and resistance to overfitting. Different knowledge transfer strategies are validated through the experiments in the knowledge distillation process. Mobile models such as SqueezeNet, MobileNetV2, and CBAM MobileNetV2 all demonstrate enhanced performance the knowledge distillation optimization. The proposed method in this paper can be used to develop a lightweight mobile-based CNN model with comparable performance to complex models making it more advantageous in real-life scenarios with limited storage resources and low hardware computation levels. Additionally, the model compression process utilizes only the intermediate features of the original dataset, meeting the confidentiality requirements of the original data in the field of public security. © 2023 IEEE.

Forced oscillation management in a microgrid with distributed converter-based resources using hierarchical deep-learning neural network

- Surinkaew, Tossaporn, Emami, Kianoush, Shah, Rakibuzzaman, Islam, Md Rabiul, Islam, Syed

  • Authors: Surinkaew, Tossaporn , Emami, Kianoush , Shah, Rakibuzzaman , Islam, Md Rabiul , Islam, Syed
  • Date: 2023
  • Type: Text , Journal article
  • Relation: Electric Power Systems Research Vol. 222, no. (2023), p.
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  • Description: In future microgrids (MGs), increasing penetration of distributed converter-based resources (DCRs) has inevitably resulted in the problem of inertia scarcity. The interaction, combination, and/or resonance among converter control loops of DCRs, forced inputs, grid parameters, parasitic elements in networks, and system dominant modes can lead to major forced oscillations (FOs). Previous research works mostly focused the problem of FOs on large-scale power systems. However, the effects of FOs in MGs may be more severe than large-scale power systems due to the lower system inertia. With different characteristics of each DCR, conventional FO management methods applied in large-scale power systems may be ineffective. In this paper, a unified AI-framework named hierarchical deep-learning neural network (HiDeNN) is proposed to effectively handle the FOs in a MG with DCRs. To properly managing the FOs, the HiDeNN is divided into three levels for FO detection, identification, and mitigation, respectively. By considering big data produced from DCRs, the HiDeNN is used to solve complicated FO management problems with a low computational demand. By comparison to conventional FO management methods, performances of the proposed HiDeNN are verified in the modified IEEE 13-node feeder with DCRs under various operating points and FO conditions. © 2023

Forced oscillation suppression using extended virtual synchronous generator in a low-Inertia microgrid

- Kerdphol, Thongchart, Ngamroo, Issarachai, Surinkaew, Tossaporn

  • Authors: Kerdphol, Thongchart , Ngamroo, Issarachai , Surinkaew, Tossaporn
  • Date: 2023
  • Type: Text , Journal article
  • Relation: International Journal of Electrical Power and Energy Systems Vol. 151, no. (2023), p.
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  • Description: Effects of forced oscillations (FOs) in well-damped power systems are relatively smaller than those of microgrids (MGs) in which the severity of the FOs may be intensified by converter interfaced generators (CIGs). According to the distinct system characteristics, the FOs in MGs will be challenging problems in future research topics. Without proper controls of the CIGs, the FOs may be exhibited extremely higher amplitude, resulting in the MG instability. Such influences will be exacerbated in a low-inertia MG, which can trigger critical frequency oscillation and system collapse. This paper introduces an extended virtual synchronous generator (VSG) with virtual forced components to attenuate the dynamic FO effects in the presence of a low-inertia MG. Contrastive scenarios, i.e., periodic, combined, full sine, and high-frequency FOs are conducted to validate the performances of VSG control in both stand-alone and interconnected MG environments. Numerical results verify that the extended VSG control provides promising benefits in a low-inertia MG not only for the sake of MG stability improvement but also the further FO suppression. © 2023 Elsevier Ltd

Formal verification of fraud-resilience in a crowdsourcing consensus protocol

- Afzaal, Hamra, Imran, Muhammad, Janjua, Muhammad

  • Authors: Afzaal, Hamra , Imran, Muhammad , Janjua, Muhammad
  • Date: 2023
  • Type: Text , Journal article
  • Relation: Computers & security Vol. 131, no. (2023), p. 103290
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  • Description: •A Trust and Transactions Chain consensus protocol is proposed for a blockchain-based crowdsourcing system.•Communicating Sequential Programs language is utilized for the formal modeling of the proposed consensus protocol.•The properties of no sybil attack, no eclipse attack, and fraud-resilience are defined through Linear Temporal Logic.•Model checking is employed to ensure the correctness of the proposed consensus protocol.•The formal verification is performed by giving the formal model and properties as input to the Process Analysis Toolkit. [Display omitted] Crowdsourcing has emerged as a promising computing paradigm that utilizes human intelligence to achieve complex tasks, but it encounters several security and trust issues. Blockchain is a potential technology that can resolve most of these issues, however, it is difficult to find an appropriate consensus protocol applicable to crowdsourcing systems. Therefore, this work presents a Trust and Transactions Chain (TTC) consensus protocol built upon blockchain technology. It selects a trusted leader and validators considering a trust model which depends on deposit ratio, block generation and validation rate, and waiting rate. The TTC protocol addresses the main challenge of ensuring correctness related to critical systems of crowdsourcing which has extreme significance as their failure can result in disastrous consequences. This work is primarily focused on fraud-resilience avoiding double-spending attack. It also deals with sybil and eclipse attacks. Model checking is exploited because it is effective and automatic to conduct formal verification. The TTC protocol is formally modeled utilizing Communicating Sequential Programs, and the fraud-resilience property is specified using Linear Temporal Logic. The verification of the model is done using Process Analysis Toolkit that takes the formal model and specified properties as input to inspect the properties’ satisfaction or violation. The results of the formal verification are analyzed with respect to the verification time and the number of visited states.

Fostering response-abilities : exploring more-than-human histories through remake activities

- Jukes, Scott

  • Authors: Jukes, Scott
  • Date: 2023
  • Type: Text , Book chapter
  • Relation: Learning to confront ecological precarity : engaging with more-than-human worlds Chapter 8 p. 135-158
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  • Description: In this chapter I explore remake activities. Remake activities reuse and recycle waste materials, working them into something useful. The experiential activity seems to be prevalent, yet limited literature covers creative ways of thinking about pedagogical approaches. The chapter examines some of the emerging waste education literature before exploring further possibilities for remake activities, using the example of paddle making as a pedagogical practice in outdoor, environmental and sustainability education. I perform a new materialist praxis for paddle making, enacting a diffractive investigation into a piece of timber as a way of framing paddle making activities. I present the investigation as a narrative that considers the life of the timber and the broader ecological history of the material. This charts ethical and environmental problems relating to particular forests whilst posing different ways of conceptualising timber. Through this, I offer an example of the pedagogical diffractions that can be made during remake activities. In summary, the chapter attends to materiality in divergent ways, through the use of new materialist ideas, to open up educational possibilities. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Fractional-order sequential model predictive control of three-phase fractional-order T-type converters

- Long, Bo, Hu, Chengkun, Chen, Zhihao, Hu, Jiefeng, Rodríguez, Jose, Zang, Xian

  • Authors: Long, Bo , Hu, Chengkun , Chen, Zhihao , Hu, Jiefeng , Rodríguez, Jose , Zang, Xian
  • Date: 2023
  • Type: Text , Journal article
  • Relation: IEEE Journal of Emerging and Selected Topics in Power Electronics Vol. 11, no. 6 (2023), p. 5820-5832
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  • Description: — Three-level T-type converters (3LT2C) with LCL filters are widely used in distributed generation (DG) systems because of their smaller size and better harmonic attenuation. The 3LT2C have many control objectives such as neutral-point (NP) voltage balancing, resonance damping, and grid current tracking. Therefore, model predictive control (MPC) with excellent dynamic characteristics and multiobjective control capability has become the most common control method. However, MPC control relies on accurate mathematical models, and the existing integer order modeling ignores its fractional-order characteristics. The reflected physical characteristics are not sufficient, so an accurate model is needed to improve the control performance. In this article, we propose a fractional-order state-space model based on the Grünwald–Letnikov (GL) definition and investigate a fractional-order sequential model predictive control (FOSMPC). First, the GL definition is used to establish the state-space model of the fractional-order grid-connected converter to realize the discretization processing and numerical calculation of the fractional-order system. Second, the multiobjective lexicographical optimization method is used to realize the SMPC to balance the NP voltage and grid-connected current reference tracking. Finally, the effectiveness of FOSMPC in controlling fractional-order 3LT2C was experimentally demonstrated. © 2023 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.

Fruits and vegetable powders

- Jiang, Hao, Zhang, Min, Adhikari, Benu

  • Authors: Jiang, Hao , Zhang, Min , Adhikari, Benu
  • Date: 2023
  • Type: Text , Book chapter
  • Relation: Handbook of Food Powders: Chemistry and Technology, Second Edition Chapter 24 p. 423-436
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  • Description: Fruits and vegetables are rich in vitamins, carotenoids, ascorbic acid, minerals and dietary fibre; however, they are climacteric and their shelf-life is very short after harvest. Uncontrolled browning, wilting and loss of nutritional value are typical of fresh fruits and vegetables even at ambient temperature and relative humidity (RH). When converted into powder form, they are easy to preserve, transport, store and use as ingredients. The greatly reduced water content and water activity help prolong the shelf-life of fruit and vegetable powders. The loss of important nutrients can also be minimized during the powder production process by judiciously selecting the drying methods and encapsulating shell materials. © 2024 Elsevier Ltd. All rights reserved.

Gender construction and the invisibility of women’s accounting activities: the All Nations’ Fair of 1895

- Halabi, Abdel, Miley, Frances, Read, Andrew

  • Authors: Halabi, Abdel , Miley, Frances , Read, Andrew
  • Date: 2023
  • Type: Text , Journal article
  • Relation: Accounting, auditing, & accountability Vol. 36, no. 5 (2023), p. 1298-1318
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  • Description: Purpose This research explores the historical nexus between accounting and gender to illuminate male hegemonies within accounting. It examines the nature of that hegemony at the boundary between the female domain of household and philanthropic activities and the male domain of business and finance. Design/methodology/approach A qualitative research approach is used for this historical research. The primary source was digitised newspapers from the National Library of Australia. Newspapers have been used in previous historical accounting research and are relevant in this instance because they provide the only surviving data about the All Nations’ Fair. Given that newspapers were published daily, the depth of coverage is not replicated by other archival sources, and at that time provided a strong community voice. Findings Women undertook the management of and accounting for the All Nations’ Fair, a philanthropic activity designed to rescue the Geelong Cricket and Football Club from its parlous financial position. Despite women undertaking the work, the management of and accounting for, the Fair was attributed to men. This reflects a gendered construction of accounting that overpowers the reality of who undertook the work. Research limitations/implications This research demonstrates only a single example of women’s philanthropic accounting, so is not generalisable. It suggests however that male hegemonies have exerted and continue to exert power over women. Originality/value The value of this paper is that historical examples serve as a corrective to histories that have ignored women’s contribution to accounting, particularly in philanthropic activities. The relationship between women’s accounting and gender also has contemporary significance. Gendered disadvantage and subjugation to a dominant masculine hegemony remain recurring themes in accounting research because they continue to impact adversely on the experiences of many women in accounting.

Global, regional, and national burden of allergic disorders and their risk factors in 204 countries and territories, from 1990 to 2019 : a systematic analysis for the Global Burden of Disease Study 2019

- Shin, Youn, Hwang, Jimin, Kwon, Rosie, Lee, Seeung, Kim, Min, Shin, Jae, Yon, Dong, Abate, Yohannes, Abbasi-Kangevari, Mohsen, Abbasi-Kangevari, Zeinab, Abdelmasseh, Michael, Abdulah, Deldar, Aboagye, Richard, Abolhassani, Hassan, Abrams, Elissa, Abtew, Yonas, Abu-Gharbieh, Eman, Adane Adane, Denberu, Adane, Tigist, Addo, Isaac, Adha, Rishan, Adibi, Amin, Sakilah Adnani, Qorinah, Agrawal, Anurag, Ahmad, Sohail, Ahmadi, Ali, Ahmed, Ali, Ahmed, Ayman, Alif, Sheikh, Rahman, Muhammad Aziz

Graph lifelong learning : a survey

- Febrinanto, Falih, Xia, Feng, Moore, Kristen, Thapa, Chandra, Aggarwal, Charu

  • Authors: Febrinanto, Falih , Xia, Feng , Moore, Kristen , Thapa, Chandra , Aggarwal, Charu
  • Date: 2023
  • Type: Text , Journal article
  • Relation: IEEE Computational Intelligence Magazine Vol. 18, no. 1 (2023), p. 32-51
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  • Description: Graph learning is a popular approach for perfor ming machine learning on graph-structured data. It has revolutionized the machine learning ability to model graph data to address downstream tasks. Its application is wide due to the availability of graph data ranging from all types of networks to information systems. Most graph learning methods assume that the graph is static and its complete structure is known during training. This limits their applicability since they cannot be applied to problems where the underlying graph grows over time and/or new tasks emerge incrementally. Such applications require a lifelong learning approach that can learn the graph continuously and accommodate new information whilst retaining previously learned knowledge. Lifelong learning methods that enable continuous learning in regular domains like images and text cannot be directly applied to continuously evolving graph data, due to its irregular structure. As a result, graph lifelong learning is gaining attention from the research community. This survey paper provides a comprehensive overview of recent advancements in graph lifelong learning, including the categorization of existing methods, and the discussions of potential applications and open research problems. © 2005-2012 IEEE.

Grid impedance detection based on complex coefficient filter and full-order capacitor current observer for three-phase grid-connected inverters

- Wang, Kaixin, Yang, Yong, Fan, Mingdi, Tang, Yuhang, Li, Haoyang, Chen, Rong, Hu, Jiefeng, Zeng, Weibo, Rodriguez, Jose

  • Authors: Wang, Kaixin , Yang, Yong , Fan, Mingdi , Tang, Yuhang , Li, Haoyang , Chen, Rong , Hu, Jiefeng , Zeng, Weibo , Rodriguez, Jose
  • Date: 2023
  • Type: Text , Journal article
  • Relation: IEEE Transactions on Power Electronics Vol. 38, no. 2 (2023), p. 2408-2420
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  • Description: This article proposes a new grid impedance detection method incorporating the complex coefficient filter (CCF) with full-order capacitor current observer for a T-type three-level grid-connected inverter controlled by the inverter output current feedback. Compared with conventional CCF impedance detection algorithms, the proposed method reduces the number of current sensors and detects the grid impedance accurately. First, based on the sampled inverter output current and grid-connected voltage signals, the grid-connected current is estimated. Then, the CCF method is used to extract harmonics from the grid-connected current and voltage signals to calculate the grid impedance. Finally, the correctness of the full-order capacitor current observer is verified by simulation and the feasibility and effectiveness of the proposed algorithm are verified experimentally based on a laboratory prototype. © 1986-2012 IEEE.

Healing, faith and fear : church opening in the United States during COVID-19 restrictions

- Smith, Naomi, Snider, Anne-Marie

  • Authors: Smith, Naomi , Snider, Anne-Marie
  • Date: 2023
  • Type: Text , Journal article
  • Relation: Journal of Contemporary Religion Vol. 38, no. 2 (2023), p. 283-304
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  • Description: This article examines how resistance to stay-at-home orders was framed to congregants through sermons and in statements to media outlets. Using an approach informed by grounded theory, we analysed news articles of church behaviour and the YouTube videos of sermons from pastors that protested against COVID-19 guidelines from March 2020 to November 2020. We also draw on legal filings to identify churches that most actively resisted closures. In analysing these publicly available data, a relationship between church openings in the United States and an evangelical theology of resistance particular to non-denominational churches to public health efforts emerged. Our analysis found that ‘largely evangelical’ churches that are not considered part of a mainline evangelical denomination were more likely to seek ways to remain open in defiance of public health orders. We use the terms ‘largely evangelical’ and ‘mainline evangelical’ to distinguish these two very different denominational families. Evidence from this article suggests that evangelical Christian churches in the US that are not considered ‘mainline evangelical’ denominations (e.g. non-denominational, Pentecostal) were more likely to resist stay-at-home orders and more prepared to be legally active in resisting such policies and gather indoors (as opposed to Catholic churches and ‘mainline evangelical’ denominations). © 2023 Informa UK Limited, trading as Taylor & Francis Group.

How hr analytics can leverage big data to minimise employees' exploitation and promote their welfare for sustainable competitive advantage

- Biswas, Kumar, Bhardwaj, Sneh, Zaman, Sawlat

  • Authors: Biswas, Kumar , Bhardwaj, Sneh , Zaman, Sawlat
  • Date: 2023
  • Type: Text , Book chapter
  • Relation: Handbook of Big Data Research Methods Chapter 12 p. 179-194
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  • Description: Big Data leveraged Human Resource Management Analytics (HRA) can enable HR professionals to make objective decisions in effectively managing key HR functions such as recruitment, training, development, compensation. Despite the abundance of benefits of using HRA to manage people in the organization more objectively than ever before, scholars and practitioners have been raising concerns over the potential misuse of HRA to discriminate against a particular group of people who may not be aware of disparate HR practices. As part of this bigger picture, this chapter investigates how HRA can leverage big data to minimize employee exploitation and promote employee welfare to sustain competitive advantage. This chapter provides comprehensive articulation of the key concepts related to HR analytics, Big Data and delineates how big-data-driven HR analytics can be (mis)used for people management. Our chapter draws on critical challenges HR professionals experience in adopting big data leveraged HR analytics. Finally, this chapter concludes with a set of proactive and reactive measures that are to be adhered to minimize HRA-related biases to uphold the philosophy of equity and diversity and sustain the organization's branding as an employer of choice. © Editors and Contributors Severally 2023. All rights reserved.

Identification of fake news : a semantic driven technique for transfer domain

- Ferdush, Jannatul, Kamruzzaman, Joarder, Karmakar, Gour, Gondal, Iqbal, Das, Raj