University of Hertfordshire: Recent submissions

Now showing items 341-360 of 24756

    • The VISTA Variables in the Vía Láctea eXtended (VVVX) ESO public survey: Completion of the observations and legacy 

      Saito, R. K.; Hempel, M.; Alonso-García, J.; Lucas, P. W.; Minniti, D.; Alonso, S.; Baravalle, L.; Borissova, J.; Caceres, C.; Chené, A. N.; Cross, N. J. G.; Duplancic, F.; Garro, E. R.; Gómez, M.; Ivanov, V. D.; Kurtev, R.; Luna, A.; Majaess, D.; Navarro, M. G.; Pullen, J. B.; Rejkuba, M.; Sanders, J. L.; Smith, L. C.; Albino, P. H. C.; Alonso, M. V.; Amôres, E. B.; Angeloni, R.; Arias, J. I.; Arnaboldi, M.; Barbuy, B.; Bayo, A.; Beamin, J. C.; Bedin, L. R.; Bellini, A.; Benjamin, R. A.; Bica, E.; Bonatto, C. J.; Botan, E.; Braga, V. F.; Brown, D. A.; Cabral, J. B.; Camargo, D.; Garatti, A. Caratti o; Carballo-Bello, J. A.; Catelan, M.; Chavero, C.; Chijani, M. A.; Clariá, J. J.; Coldwell, G. V.; Peña, C. Contreras; Ramos, R. Contreras; Corral-Santana, J. M.; Cortés, C. C.; Cortés-Contreras, M.; Cruz, P.; Daza-Perilla, I. V.; Debattista, V. P.; Dias, B.; Donoso, L.; D'Souza, R.; Emerson, J. P.; Federle, S.; Fermiano, V.; Fernandez, J.; Fernández-Trincado, J. G.; Ferreira, T.; Lopes, C. E. Ferreira; Firpo, V.; Flores-Quintana, C.; Fraga, L.; Froebrich, D.; Galdeano, D.; Gavignaud, I.; Geisler, D.; Gerhard, O. E.; Gieren, W.; Gonzalez, O. A.; Gramajo, L. V.; Gran, F.; Granitto, P. M.; Griggio, M.; Guo, Z.; Gurovich, S.; Hilker, M.; Jones, H. R. A.; Kammers, R.; Kuhn, M. A.; Kumar, M. S . N.; Kundu, R.; Lares, M.; Libralato, M.; Lima, E.; Maccarone, T. J.; Cortés, P. Marchant; Martin, E. L.; Masetti, N.; Matsunaga, N.; Mauro, F.; McDonald, I.; Mejías, A.; Mesa, V.; Milla-Castro, F. P.; Minniti, J. H.; Bidin, C. Moni; Montenegro, K.; Morris, C.; Motta, V.; Navarete, F.; Molina, C. Navarro; Nikzat, F.; Castellón, J. L. Nilo; Obasi, C.; Ortigoza-Urdaneta, M.; Palma, T.; Parisi, C.; Ramírez, K. Pena; Pereyra, L.; Perez, N.; Petralia, I.; Pichel, A.; Pignata, G.; Alegría, S. Ramírez; Rojas, A. F.; Rojas, D.; Roman-Lopes, A.; Rovero, A. C.; Saroon, S.; Schmidt, E. O.; Schröder, A. C.; Schultheis, M.; Sgró, M. A.; Solano, E.; Soto, M.; Stecklum, B.; Steeghs, D.; Tamura, M.; Tissera, P.; Valcarce, A. A. R.; Valotto, C. A.; Vasquez, S.; Villalon, C.; Villanova, S.; Cádiz, F. Vivanco; Bacigalupo, R. Zelada; Zijlstra, A.; Zoccali, M. (2024-06-24)
      The ESO public survey VISTA Variables in the V\'ia L\'actea (VVV) surveyed the inner Galactic bulge and the adjacent southern Galactic disk from $2009-2015$. Upon its conclusion, the complementary VVV eXtended (VVVX) survey ...

    • Medical Image Character Recognition Using Attention-Based Siamese Networks for Visually Similar Characters with Low Resolution 

      Osagie, Efosa; Ji, Wei; Helian, Na (Springer Nature, 2024-08-01)
      The emergence of optical character recognition (OCR) has been adopted in many domains to automate various tasks. Still, recognising visually similar characters (VSC) remains a challenging problem in the general OCR domain. ...

    • Applying Positive Psychology in Sport: A Trainee’s Case Study 

      Gunning, Scott; Smith, Jenny (2024-06-17)
      Positive psychology is an approach to psychology that focuses on the utilization of strengths, positive emotions, well-being, and personal growth to help individuals thrive, flourish, and achieve optimal functioning. The ...

    • Analysis of Student Preference to Group Work Assessment in Cybersecurity Courses 

      Xiao, Hannan; Spring, William Joseph; Kuzminykh, Ievgeniia (CEUR-WS, 2024-06-08)
      This study explores the impact of taking a diverse and inclusive approach to designing a group work assessment for an undergraduate cybersecurity course delivered to third year university cohorts. Students were given the ...

    • The Ultraviolet Luminosity Function at 0.6 < z < 1 from UVCANDELS 

      the UVCANDELS team; Sun, Lei; Wang, Xin; Teplitz, Harry I.; Mehta, Vihang; Alavi, Anahita; Rafelski, Marc; Windhorst, Rogier A.; Scarlata, Claudia; Gardner, Jonathan P.; Smith, Brent M.; Sunnquist, Ben; Prichard, Laura; Cheng, Yingjie; Grogin, Norman; Hathi, Nimish P.; Hayes, Matthew; Koekemoer, Anton M.; Mobasher, Bahram; Nedkova, Kalina V.; O’Connell, Robert; Robertson, Brant; Taamoli, Sina; Yung, L. Y. Aaron; Brammer, Gabriel; Colbert, James; Conselice, Christopher; Gawiser, Eric; Guo, Yicheng; Jansen, Rolf A.; Ji, Zhiyuan; Lucas, Ray A.; Rutkowski, Michael; Siana, Brian; Vanzella, Eros; Ashcraft, Teresa; Bagley, Micaela; Baronchelli, Ivano; Barro, Guillermo; Blanche, Alex; Broussard, Adam; Carleton, Timothy; Chartab, Nima; Codoreanu, Alex; Cohen, Seth; Dai, Y. Sophia; Darvish, Behnam; Davé, Romeel; Kaviraj, Sugata; Lazar, Ilin; Martin, Garreth (2024-08-21)
      UVCANDELS is a Hubble Space Telescope Cycle-26 Treasury Program awarded 164 orbits of primary ultraviolet (UV) F275W imaging and coordinated parallel optical F435W imaging in four CANDELS fields—GOODS-N, GOODS-S, EGS, and ...

    • Cognitive inflexibility, obsessive-compulsive symptoms and traits and poor post-pandemic adjustment 

      Frota Lisboa Pereira De Souza, Ana Maria; Pellegrini, Luca; Fineberg, Naomi (2024-05-23)
      The ability to flexibly adapt thoughts and behaviours represents a fundamental attribute for behavioural success. Impairments in aspects of cognitive flexibility are found as transdiagnostic latent phenotypes of ...

    • O04 UKHSA Start Smart Then Focus antimicrobial stewardship: effective implementation during the COVID-19 pandemic at an NHS Foundation Trust in the UK 

      Abdelsalam Elshenawy, Rasha; Umaru, Nikkie; Aslanpour, Zoe (2024-08-23)
      Antimicrobial resistance (AMR) is a critical global health threat, causing 1.2 million deaths annually. While antimicrobial stewardship (AMS) promotes responsible antibiotic use, the COVID-19 pandemic led to a 15% rise in ...

    • Investigating the Diversity of Evolved Cognitive Models in Delayed Match to Sample Experiments 

      Lane, Peter; Bartlett, Laura; Gobet, F. (2024-06-12)
      The construction of programs to model cognitive behaviour can be semi-automated, using program synthesis techniques such as genetic programming. However, these techniques can produce many candidate solutions of good fitness ...

    • Synthesising cognitive models with genetic programming 

      Lane, Peter; Gobet, F.; Pirrone, Angelo; Bartlett, Laura; Javed, Noman (2023-06-13)
      Developing, understanding and verifying the behaviour of cognitive models is a non-trivial task. A good cognitive model explains and predicts human behaviour in a particular experimental setting. Cognitive models are often ...

    • “I am there just to get on with it”: a qualitative study on the labour of the patient and public involvement workforce 

      Papoulias, Stan; Brady, Louca-Mai (2024-12-30)
      Background Workers tasked with specific responsibilities around patient and public involvement (PPI) are now routinely part of the organizational landscape for applied health research in the United Kingdom. Even as the ...

    • Enhanced photocatalytic degradation of diazinon using Ni:ZnO/Fe3O4 nanocomposite under solar light 

      Salehzadeh, Hamzeh; Wantala, Kitirote; Shahmoradi, Behzad; Maleki, Afshin; Suwannaruang, Totsaporn; Shivaraju, Harikaranahalli Puttaiah; Mohammadi, Ebrahim; Ren, Guogang; Jenkins, David F.; Choi, Hee Jeong; Safari, Mahdi (2024-08-30)
      Background: The increasing photocatalytic activity of Ni:ZnO/Fe3O4 nanocomposite in the diazinon degradation under solar light compared to bare ZnO and Ni:ZnO nanoparticles was examined. Methods: The synthesized nanoparticles ...

    • Retrieving Young Cloudy L-Dwarfs : A Nearby Planetary-Mass Companion BD+60 1417B and Its Isolated Red Twin W0047 

      Phillips, Caprice L.; Faherty, Jacqueline K.; Burningham, Ben; Vos, Johanna M.; Gonzales, Eileen; Griffith, Emily J.; Merchan, Sherelyn Alejandro; Calamari, Emily; Visscher, Channon; Morley, Caroline V.; Whiteford, Niall; Gaarn, Josefine; Ilyin, Ilya; Strassmeier, Klaus (2024-09-05)
      We present an atmospheric retrieval analysis on a set of young, cloudy, red L dwarfs—CWISER J124332.12+600126.2 (BD+60 1417B) and WISEP J004701.06+680352.1 (W0047)—using the Brewster retrieval framework. We also present ...

    • Studying temperature’s impact on Brassica napus resistance to identify key regulatory mechanisms using comparative metabolomics 

      Amjadi, Zahra; Hamzehzarghani, Habiballah; Rodriguez, Víctor Manuel; Huang, Yong-Ju; Farahbakhsh, Farideh (2024-08-27)
      To investigate the effects of temperature on Brassica napus (canola) resistance to Leptosphaeria maculans (LM), the causal agent of blackleg disease, metabolic profiles of LM infected resistant (R) and susceptible (S) ...

    • Knowledge of, and attitude towards, the treatment of hepatitis C in people who inject drugs 

      Roser, Patrik; Brunstein, Mona; Specka, Michael; Timm, Jörg; Kühnhold, Stefan; Schifano, Fabrizio; Bonnet, Udo; Scherbaum, Norbert (2024-12-30)
      Background: Direct acting antivirals (DAAs) as a curative treatment of hepatitis C have been available for several years and have replaced interferon-containing therapies. However, treatment rates of people who inject drugs ...

    • Rheological, textural, and swallowing characteristics of xanthan gum‐modified Riceberry porridge for patients with dysphagia : English 

      Charoensri, Pakanun; Aspinall, Sam; Liu, Fang; Kijroongrojana, Kongkarn (2024-08-13)
      The incidence and prevalence of dysphagia worldwide are increasing yearly requiring a change in food texture to avoid malnutrition, dehydration, or sever complications. Riceberry porridges fortified with protein hydrolysate ...

    • Distributed Predictive Maintenance Architecture for Edge Sensors Networks: An Optimal Regression Based Machine Learning Model 

      Greasley, Jacob; Simpson, Oluyomi; Mporas, Iosif (2024-06-12)
      In predictive maintenance (PdM), implementing machine learning models (ML) on edge sensor hardware is particularly challenging. This is due to power constraints which significantly reduce computational performance in ...

    • LEADNet: Detection of Alzheimer’s Disease using Spatiotemporal EEG Analysis and Low-Complexity CNN 

      Puri, Digambar V.; Kachare, Pramod H.; Sangle, Sandeep B.; Kirner, Raimund; Jabbari, Abdoh; Al-Shourbaji, Ibrahim; Abdalraheem, Mohammed; Alameen, Abdalla (2024-07-30)
      Clinical methods for dementia detection are expensive and prone to human errors. Despite various computer-aided methods using electroencephalography (EEG) signals and artificial intelligence, a reliable detection of ...

    • Innovative Design of External Airbag System for Improved Automotive Safety 

      Elaidy, A.; Rayner, R.; Kalyvas, C. (2024-07-16)
      Pedestrians are exceptionally vulnerable in road accidents, and despite the advancements in airbag technology for vehicle occupants, fatal injuries still occur due to contact between pedestrians and vehicle components. To ...

    • Deep Reinforcement Learning-Based Dynamic Reconfiguration Planning for Digital Twin-Driven Smart Manufacturing Systems With Reconfigurable Machine Tools 

      Huang, Jintang; Huang, Sihan; Moghaddam, Shokraneh K.; Lu, Yuqian; Wang, Guoxin; Yan, Yan; Shi, Xuejiang (2024-07-30)
      Smart manufacturing systems are a new paradigm in Industry 4.0 driven by the emerging information and communication technology and artificial intelligence that converge to digital twin, which are able to perceive, recognize, ...

    • Government-Led digital transformation in FinTech ecosystems : Digital Transformation in Fintech systems 

      Senyo, P.K.; Karanasios, Stan; Agbloyor, Elikplimi Komla; Choudrie, Jyoti (2024-09-30)
      In this paper, we report on a qualitative exploratory case study of a national-level government-led digital transformation. We depart from most studies on government digital transformation that largely focus on improving ...