Now showing items 1-20 of 7163

    • The physiological, perceptual and neuromuscular responses of team sport athletes to a running and cycling high intensity interval training session

      Twist, Craig; Bott, Richard; Highton, Jamie; University of Chester
      Purpose: The acute physiological, perceptual and neuromuscular responses to volume-matched running and cycling high intensity interval training (HIIT) were studied in team sport athletes. Methods: In a randomized cross-over design, 11 male team sport players completed 3 x 6 min (with 5 min between sets) repeated efforts of 15 s exercising at 120% speed (s"V" ̇O2max) or power (p"V" ̇O2max) at VO2max followed by 15 s passive recovery on a treadmill or cycle ergometer, respectively. Results: Absolute mean "V" ̇O2 (ES [95%CI] = 1.46 [0.47-2.34], p < 0.001) and heart rate (ES [95%CI] = 1.53 [0.53-2.41], p = 0.001) were higher in running than cycling HIIT. Total time at >90% VO2max during the HIIT was higher for running compared to cycling (ES [95%CI] = 1.21 [0.26-2.07], p = 0.015). Overall differential RPE (dRPE) (ES [95%CI] = 0.55 [-0.32-1.38], p = 0.094) and legs dRPE (ES [95%CI] = -0.65 [-1.48-0.23], p = 0.111) were similar whereas breathing dRPE (ES [95%CI] = 1.01 [0.08-1.85], p = 0.012) was higher for running. Maximal isometric knee extension force was unchanged after running (ES [95%CI] = -0.04 [-0.80-0.8], p = 0.726) compared to a moderate reduction after cycling (ES [95%CI] = -1.17 [-2.02- -0.22], p = 0.001). Conclusion: Cycling HIIT in team sport athletes is unlikely to meet the requirements for improving run-specific metabolic adaptation but might offer a greater lower limb neuromuscular load.
    • When My Work is Found Wanting: Power, intersectionality, postcolonialism, and the reflexive feminist researcher

      Llewellyn, Dawn; University of Chester (Routledge, 2021-12-31)
      Feminist research emerges out of a struggle with power. Ingrained in feminist studies of religion is the identification and dismantling of religious hierarchies and structures that disempower. Feminist scholarship has contended with the essentialist categories of ‘woman’ and ‘women’s experience’ without questioning that its rendering of ‘religion’ and ‘gender’ was premised on and benefited from its own modes of dominance and suppression, conditioned by Western colonialism. Taking up feminist research is a reflexive position that can assist in upsetting the established hierarchies of power and the binary oppositions of researcher and researched, knower and known, political and personal. However, feminist thinking in religion and gender, like the author own, has not always been reflexively attentive to its almost exclusive focus on the relationships between religion and gender and its own power as the product of Western, colonial, secular discourses.
    • Deep Learning based Human Detection in Privacy-Preserved Surveillance Videos

      Yousuf, Muhammad Jehanzaib; Kanwal, Nadia; Ansari, Mohammad Samar; Asghar, Mamoona; Lee, Brian; Technological University of the Shannon; Keele University; University of Chester; University of Galway
      Visual surveillance systems have been improving rapidly over the recent past, becoming more capable and pervasive with incorporation of artificial intelligence. At the same time such surveillance systems are exposing the public to new privacy and security threats. There have been an increasing number of reports of blatant abuse of surveillance technologies. To counteract this, data privacy regulations (e.g. GDPR in Europe) have provided guidelines for data collection and data processing. However, there is still a need for a private and secure method of model training for advanced machine learning and deep learning algorithms. To this end, in this paper we propose a privacy-preserved method for visual surveillance. We first develop a dataset of privacy preserved videos. The data in these videos is masked using Gaussian Mixture Model (GMM) and selective encryption. We then train high-performance object detection models on the generated dataset. The proposed method utilizes state-of-art object detection deep learning models (viz. YOLOv4 and YOLOv5) to perform human/object detection in masked videos. The results are encouraging, and are pointers to the viability of the use of modern day deep learning models for object detection in privacy-preserved videos.
    • A Novel Double-Threshold Neural Classifier for Non-Linearly Separable Applications

      Kashif, Mohd; Rahman, Syed Atiqur; Ansari, Mohammad Samar; Aligarh Muslim University; University of Chester
      Classification of data finds applications in various engineering and scientific problems. When real-time operation is desired, hardware solutions tend to be more amenable as compared to algorithmic/heuristic solutions. This paper presents a novel current-mode dual-threshold neuron designed and implemented at 32nm CMOS technology node. Subsequently, a current-mode double-threshold classifier is presented which is capable of classifying input patterns of non-linearly separable problems. Thereafter, application of the current-mode dual-threshold neuron in the realization of the XOR function using only a single neural unit is discussed. The proposed neuron as well as both the applications discussed are capable of operating from sub-1V power supplies. Computer simulations using HSPICE yield promising results with the values of delay and power consumption estimated to be lower than existing circuits.
    • Wasserstein GAN based Chest X-Ray Dataset Augmentation for Deep Learning Models: COVID-19 Detection Use-Case

      Hussain, B. Zahid; Andleeb, Ifrah; Ansari, Mohammad Samar; Joshi, Amit Mahesh; Kanwal, Nadia; Aligarh Muslim University; University of Chester; Malaviya National Institute of Technology Jaipur; Keele University (IEEE, 2022-09-08)
      The novel coronavirus infection (COVID-19) is still continuing to be a concern for the entire globe. Since early detection of COVID-19 is of particular importance, there have been multiple research efforts to supplement the current standard RT-PCR tests. Several deep learning models, with varying effectiveness, using Chest X-Ray images for such diagnosis have also been proposed. While some of the models are quite promising, there still remains a dearth of training data for such deep learning models. The present paper attempts to provide a viable solution to the problem of data deficiency in COVID-19 CXR images. We show that the use of a Wasserstein Generative Adversarial Network (WGAN) could lead to an effective and lightweight solution. It is demonstrated that the WGAN generated images are at par with the original images using inference tests on an already proposed COVID-19 detection model.
    • A Preliminary Cohort Study Assessing Routine Blood Analyte Levels and Neurological Outcome after Spinal Cord Injury

      Brown, Sharon J.; Harrington, Gabriel M.B.; Hulme, Charlotte H.; Morris, Rachel; Bennett, Anna; Tsang, Wai-Hung; Osman, Aheed; Chowdhury, Joy; Kumar, Naveen; Wright, Karina T. (Mary Ann Liebert Inc, 2020-02-01)
    • Editorial

      Bhugra, Dinesh; Broadway-Horner, Matt; orcid: 0000-0002-8834-7441; Kar, Anindya; orcid: 0000-0003-3319-5433; Pemberton, Max (Informa UK Limited, 2022-09-24)
    • Looking into the LGB affirmative therapies over the last fifty years – a mixed method review synthesis

      Broadway-Horner, Matt; orcid: 0000-0002-8834-7441; Kar, Anindya; orcid: 0000-0003-3319-5433 (Informa UK Limited, 2022-04-04)
    • Psychological therapies and non-suicidal self-injury in LGBTIQ in accident and emergency departments in the UK: a scoping review

      Broadway-Horner, Matt; orcid: 0000-0002-8834-7441; Kar, Anindya; orcid: 0000-0003-3319-5433; Pemberton, Max; Ventriglio, Antonio (Informa UK Limited, 2022-08-25)
    • “Our feelings are valid” – reviewing the lesbian, gay, and bisexual affirmative approaches in a mental health setting

      Broadway-Horner, Matt; orcid: 0000-0002-8834-7441; Kar, Anindya; orcid: 0000-0003-3319-5433 (Informa UK Limited, 2022-02-07)
    • How many practice hours are required to become a registered nurse?

      Garrow, Amanda; Roberts, Debbie; Kenny, Amanda; Leigh, Jacqueline; Borwell, Juliet; Knight, Kate H; Whaley, Victoria; Monks, Rob; Wright, Karen M (Mark Allen Group, 2022-09-22)
    • Are you lookin’ at me? A mixed-methods case study to investigate the influence of coaches’ presence on performance testing outcomes in male academy rugby league players

      Richardson, Ben; Dobbin, Nick; orcid: 0000-0001-7508-1683; White, Christopher; Bloyce, Daniel; Twist, Craig; orcid: 0000-0001-6168-0378 (SAGE Publications, 2022-09-21)
      The study used a mixed-methods approach to examine how the presence of coaches influenced male academy rugby league players’ performance during physical performance testing. Fifteen male rugby players completed two trials of 20 m sprint, countermovement jump and prone Yo-Yo test; one with only the sport scientist present and a second where the sport scientist conducted the battery with both the club's lead strength and conditioning coach, academy manager, and the first team assistant and head coach present. Players and coaches then completed one-to-one semi-structured interviews to explore their beliefs, attitudes and opinions towards physical performance testing. In all tests, the players’ performance was better when the coaches were present compared to when tests were conducted by the sport scientist alone. Interviews revealed performance testing was used by coaches to exercise their power over players to socialise them into the desired culture. Players’ own power was evident through additional effort during testing when coaches were present. Practitioners should ensure consistency in the presence of significant observers during performance testing of male rugby players to minimise their influence on test outcome.
    • Screening for Mental Illness using GMHAT App of patients with Type 2 Diabetes Mellitus at a tertiary care hospital in India – A cross sectional study

      Jones, Steven; Majgi, Sumanth M.; Krishna, M.; Ebuenyi, I.; Mal, N. M.; University of Chester; FRAME - Mysore, India
      People with diabetes will have some coexisting mental illness most of the time and its evaluation and management are essential for the well‑being of the person. With this background, the Global Mental Health Assessment Tool (GMHAT) app was used to screen for mental illness among type 2 diabetes mellitus patients in Mysore, India. Methods: A cross‑sectional study was conducted on 100 patients who were on treatment for type 2 diabetes for at least 6 months. Interviews were conducted using a structured GMHAT. Results: The mean age of the study participants was 48.8 ± 11.6 years. Among the 100 diabetic patients, 39% (n = 39) had mental illness and among the 39 subjects, 21% had depression, 14% had anxiety disorder and 4% suffered from organic disorder. Apart from diabetes, 29, 17, 13, 27, 23 and 20% had hypertension, chronic kidney disease, liver disease, retinopathy, neuropathy and nephropathy, respectively, as comorbid conditions. Conclusion: There is a higher prevalence of mental illness in patients with diabetes mellitus. The prevalence rate increases with an increase in the chronicity of diabetes. The use of the GMHAT app will help in rapid assessment and accurate diagnoses
    • Welfare Conditionality, Ethics and Social Care for Older People in the UK: From Civic Rights to Abandonment?

      Carey, Malcolm (Oxford University Press (OUP), 2021-12-13)
      Abstract Welfare systems are becoming ever more conditional, with access to state support increasingly rationed via a legion of legally-defined and financially-driven restrictions and rules. Civic protection and economic rights for older citizens within Western policy systems are subsequently diminishing and continue to give way to neoliberal discursive practices which prioritise welfare activation, autonomy, participation, asset-based yet precarious self-care, the aversion of health-centred risks, and much higher levels of eligibility for support. This article looks at welfare conditionality and its relationship to older people, ethics and governance within social care. By using three examples of welfare conditional reforms from the UK, it is highlighted that strains typically persist between the altruistic components of some ethical frameworks and the everyday experiences of many older people. The relative gatekeeping powers of welfare professionals and expectations placed on family members and carers have also increased, especially upon older people with higher needs and who may lack economic and cultural capital. This is despite rhetorical policy-led claims of increasing choice and control, and allowing support to be more asset-based and personalised.
    • Correction: Wiśniewska et al. Heterospecific Fear and Avoidance Behaviour in Domestic Horses (<i>Equus caballus</i>). <i>Animals</i> 2021, <i>11</i>, 3081.

      Wiśniewska, Anna; orcid: 0000-0003-1127-2960; Janczarek, Iwona; orcid: 0000-0001-9032-8840; Wilk, Izabela; orcid: 0000-0001-7958-2303; Tkaczyk, Ewelina; orcid: 0000-0003-4495-7413; Mierzicka, Martyna; Stanley, Christina R; orcid: 0000-0002-5053-4831; Górecka-Bruzda, Aleksandra; orcid: 0000-0002-2770-2278 (2022-08-10)
      The authors wish to make the following correction to this paper [...].
    • The cat is out of the bag – point-of-care testing (POCT) is here to stay

      Phin, Nick; Poutanen, Susan M (European Centre for Disease Control and Prevention (ECDC), 2020-11-05)
    • Local-Partial Signal Combining Schemes for Cell-Free Large-Scale MU-MIMO Systems with Limited Fronthaul Capacity and Spatial Correlation Channels

      Alammari, Amr A.; Sharique, Mohd; Moinuddin, Athar Ali; Ansari, Mohammad Samar; Aligarh Muslim University; University of Chester (MDPI, 2022-09-01)
      Cell-free large-scale multi-user MIMO is a promising technology for the 5G-and-beyond mobile communication networks. Scalable signal processing is the key challenge in achieving the benefits of cell-free systems. This study examines a distributed approach for cell-free deployment with user-centric configuration and finite fronthaul capacity. Moreover, the impact of scaling the pilot length, the number of access points (APs), and the number of antennas per AP on the achievable average spectral efficiency are investigated. Using the dynamic cooperative clustering (DCC) technique and large-scale fading decoding process, we derive an approximation of the signal-tointerference-plus-noise ratio in the criteria of two local combining schemes: Local-Partial Regularized Zero Forcing (RZF) and Local Maximum Ratio (MR). The results indicate that distributed approaches in the cell-free system have the advantage of decreasing the fronthaul signaling and the computing complexity. The results also show that the Local-Partial RZF provides the highest average spectral efficiency among all the distributed combining schemes because the computational complexity of the Local-Partial RZF is independent of the UTs. Therefore, it does not grow as the number of user terminals (UTs) increases.