What is the future trend of decision-making?

Many intelligent decision-making tools have been developed over the past few decades. However, the real-life application of these tools is still limited even a high degree of consistency and flexibility of these models are reported. Perhaps, from the decision-makers’ perspective, the lack of understanding about the models would be a major source of resistance. Also, the trade-off between gains and dedications associated with the model development as well as implementation would be another bottleneck. In this connection, the future trend of decision-making model development should consider the interaction of the end users and the decision environment. In addition to the transformation of the domain knowledge into decision rules, it is also vital to recognise WHY the users prefer one decision over others under a specific decision environment, and HOW they may change their preferences. With this "learning’ ability, such decision-making tool may be able to generate decisions that are not necessarily the optimum but rational from the users’ viewpoint. This would increase the user acceptance since the tools would behave more like them. Due to technological development, environmental data can be readily collected and analysed. Hence, a data-driven approach which employs artificial intelligence to uncover the connectivity between key environmental factors and users’ preferences should be adopted

Access to primary care for socio-economically disadvantaged older people in rural areas: a qualitative study

Objective: We aim to explore the barriers to accessing primary care for socio-economically disadvantaged older people in rural areas. Methods: Using a community recruitment strategy, fifteen people over 65 years, living in a rural area, and receiving financial support were recruited for semi-structured interviews. Four focus groups were held with rural health professionals. Interviews and focus groups were audio-recorded and transcribed. Thematic analysis was used to identify barriers to primary care access. Findings: Older people’s experience can be understood within the context of a patient perceived set of unwritten rules or social contract – an individual is careful not to bother the doctor in return for additional goodwill when they become unwell. However, most found it difficult to access primary care due to engaged telephone lines, availability of appointments, interactions with receptionists; breaching their perceived social contract. This left some feeling unwelcome, worthless or marginalised, especially those with high expectations of the social contract or limited resources, skills and/or desire to adapt to service changes Health professionals’ described how rising demands and expectations coupled with service constraints had necessitated service development, such as fewer home visits, more telephone consultations, triaging calls and modifying the appointment system. Conclusion: Multiple barriers to accessing primary care exist for this group. As primary care is re-organised to reduce costs, commissioners and practitioners must not lose sight of the perceived social contract and models of care that form the basis of how many older people interact with the service

The ATLAS inner detector trigger performance in pp collisions at 13 TeV during LHC Run 2

The design and performance of the inner detector trigger for the high level trigger of the ATLAS experiment at the Large Hadron Collider during the 2016-18 data taking period is discussed. In 2016, 2017, and 2018 the ATLAS detector recorded 35.6 fb$^{-1}$, 46.9 fb$^{-1}$, and 60.6 fb$^{-1}$ respectively of proton-proton collision data at a centre-of-mass energy of 13 TeV. In order to deal with the very high interaction multiplicities per bunch crossing expected with the 13 TeV collisions the inner detector trigger was redesigned during the long shutdown of the Large Hadron Collider from 2013 until 2015. An overview of these developments is provided and the performance of the tracking in the trigger for the muon, electron, tau and $b$-jet signatures is discussed. The high performance of the inner detector trigger with these extreme interaction multiplicities demonstrates how the inner detector tracking continues to lie at the heart of the trigger performance and is essential in enabling the ATLAS physics programme

The ATLAS inner detector trigger performance in pp collisions at 13 TeV during LHC Run 2

The design and performance of the inner detector trigger for the high level trigger of the ATLAS experiment at the Large Hadron Collider during the 2016-18 data taking period is discussed. In 2016, 2017, and 2018 the ATLAS detector recorded 35.6 fb$^{-1}$, 46.9 fb$^{-1}$, and 60.6 fb$^{-1}$ respectively of proton-proton collision data at a centre-of-mass energy of 13 TeV. In order to deal with the very high interaction multiplicities per bunch crossing expected with the 13 TeV collisions the inner detector trigger was redesigned during the long shutdown of the Large Hadron Collider from 2013 until 2015. An overview of these developments is provided and the performance of the tracking in the trigger for the muon, electron, tau and $b$-jet signatures is discussed. The high performance of the inner detector trigger with these extreme interaction multiplicities demonstrates how the inner detector tracking continues to lie at the heart of the trigger performance and is essential in enabling the ATLAS physics programme

Observation of electroweak production of two jets in association with an isolated photon and missing transverse momentum, and search for a Higgs boson decaying into invisible particles at 13 TeV with the ATLAS detector

This paper presents the measurement of the electroweak production of two jets in association with a $Z\gamma$ pair with the $Z$ boson decaying into two neutrinos. It also presents the search for invisible or partially invisible decays of a Higgs boson with a mass of 125 GeV produced through vector-boson fusion with a photon in the final state. These results use data from LHC proton-proton collisions at $\sqrt{s}$ = 13 TeV collected with the ATLAS detector corresponding to an integrated luminosity of 139 fb$^{-1}$. The event signature, shared by all benchmark processes considered for measurements and searches, is characterized by a significant amount of unbalanced transverse momentum and a photon in the final state, in addition to a pair of forward jets. For electroweak production of $Z\gamma$ in association with two jets, the background-only hypothesis is rejected with an observed (expected) significance of 5.2 (5.1) standard deviations. The measured fiducial cross-section for this process is 1.31$\pm$0.29 fb. Observed (expected) upper limit of 0.37 (0.34) at 95% confidence level is set on the branching ratio of a 125 GeV Higgs boson to invisible particles, assuming the Standard Model production cross-section. The signature is also interpreted in the context of decays of a Higgs boson to a photon and a dark photon. An observed (expected) 95% CL upper limit on the branching ratio for this decay is set at 0.018 (0.017), assuming the 125 GeV Standard Model Higgs boson production cross-section

Can digital technologies improve students' efficiency? Exploring the role of Virtual Learning Environment and Social Media use in Higher Education

Digital technologies, including Virtual Learning Environment (VL) and Social Media (SM), are well adopted in the Higher Education (HE) setting, yet little is known about the role these tools play in supporting students’ achievement of HE goals. This research is the first to examine student efficiency by uncovering the direct links between HE inputs and outputs in consideration of technology use. Building on service productivity theory, a two-phase approach is adopted to empirically examine if VL and SM use enhances students’ efficiency in HE goals attainment. The first phase identified a range of HE inputs and outputs perceived by HE students via structured interviews. Through questionnaires, the second phase revealed how technology use changed the input-output transformation. Our findings suggest that students are better off without relying on digital technologies. While VL can enhance students’ HE goals achievement with additional inputs, students who use SM are the least efficient. This encourages further work to devise more diligent use of VL and SM under the HE setting

Capability management of manufacturing research centres : challenges and opportunities

This paper is the first to investigate capability management of manufacturing research centres within the High Value Manufacturing Catapult (HVMC). The HVMC was established to address the valley of death by bridging the gap between industry and academia in order to drive the UK's economic and technological growth. However, the current literature does not fully recognise capability management of manufacturing research centres, and hence overlook its link with operations management and strategic management within research centres' environment. Regarding technology capabilities, manufacturing companies usually adopt their own measurements or assessment tools such as Technology Readiness Levels (TRL) or Manufacturing Readiness Levels (MRL) to track their technological progression. These tools, however, are not sufficient to devise important capability management practices due to research centres' unique operating characteristics. It is evident that standardising such practices within the HVMC is vital, and this drives the need of developing a new capability management framework

Proceedings of The HKIE Geotechnical Division 43rd Annual Seminar: Towards a Smart-Green-Resilient Geo-Future for World-class City

This seminar proceedings contain articles on the various research ideas of the academic community and practitioners presented at The HKIE Geotechnical Division 43rd Annual Seminar (GDAS2023). This seminarprovides a platform for policymakers, practitioners, and academia to share their insights and brainstorm ideas with a view to seizing future opportunities and shaping the new future of Hong Kong. GDAS2023 was organized by the Geotechnical Division, The Hong Kong Institution of Engineers on 19th May 2023. Seminar Title: The HKIE Geotechnical Division 43rd Annual SeminarSeminar Acronym: GDAS2023Seminar Date: 19 May 2023Seminar Location:  Hong KongSeminar Organizers: Geotechnical Division, The Hong Kong Institution of Engineers Link to the GDAS2021 Proceedings: Proceedings of The HKIE Geotechnical Division 41st Annual Seminar Link to the GDAS2022 Proceedings: Proceedings of The HKIE Geotechnical Division 42nd Annual Semina