Hasil untuk "Technology (General)"

W. Goldsmith, J. T. Frasier

P. Richards

E. Falkenauer

Hongxing Yang, P. Cui, Z. Fang

Ruben Hermans, J. Tondeur, J. Braak et al.

S. Savage, D. Wetherall, Anna R. Karlin et al.

Thanos G. Stavropoulos, A. Papastergiou, Lampros Mpaltadoros et al.

The increasing ageing global population is causing an upsurge in ailments related to old age, primarily dementia and Alzheimer’s disease, frailty, Parkinson’s, and cardiovascular disease, but also a general need for general eldercare as well as active and healthy ageing. In turn, there is a need for constant monitoring and assistance, intervention, and support, causing a considerable financial and human burden on individuals and their caregivers. Interconnected sensing technology, such as IoT wearables and devices, present a promising solution for objective, reliable, and remote monitoring, assessment, and support through ambient assisted living. This paper presents a review of such solutions including both earlier review studies and individual case studies, rapidly evolving in the last decade. In doing so, it examines and categorizes them according to common aspects of interest such as health focus, from specific ailments to general eldercare; IoT technologies, from wearables to smart home sensors; aims, from assessment to fall detection and indoor positioning to intervention; and experimental evaluation participants duration and outcome measures, from acceptability to accuracy. Statistics drawn from this categorization aim to outline the current state-of-the-art, as well as trends and effective practices for the future of effective, accessible, and acceptable eldercare with technology.

J. Cong, Yuzheng Ding

N. Allum, Patrick Sturgis, Dimitra Tabourazi et al.

Qiang Gao, Tingting Wang, Shun Tan et al.

Dipankar Srirag, Xiaolin Cen, Rahat Masood et al.

Technology-Facilitated Abuse (TFA) encompasses a broad and rapidly evolving set of behaviours in which digital systems are used to harass, monitor, threaten, or control individuals. Although prior research has documented many forms of TFA, there is no consolidated framework for understanding how abuse types, prevention measures, detection mechanisms, and support pathways relate across the abuse life cycle. This paper contributes a unified, literature-derived taxonomy of TFA grounded in a structured review of peer-reviewed studies, and the first large-scale, taxonomy-aligned audit of institutional web resources in Australia. We crawl 306 government, non-government, and service-provider domains, obtaining 52,605 pages, and classify using zero-shot topic models to map web content onto our taxonomy. An emotion and readability analyses reveal how institutions frame TFA and how accessible their guidance is to the public. Our findings show that institutional websites cover only a narrow subset of harms emphasised in the literature, with approximately 70% of all abuse labelled pages focused on harassment, comments abuse, or sexual abuse, while less than 1% address covert surveillance, economic abuse, or long-term controlling behaviours. Support pathways are similarly limited, with most resources centred on digital information hubs rather than counselling or community-based services. Readability analysis further shows that much of this content is written at late secondary or early tertiary reading levels, which may be inaccessible to a substantial portion of at-risk users. By highlighting strengths and gaps in Australia's support for TFA, our taxonomy and audit method provide a scalable basis for evaluating institutional communication, improving survivor resources, and guiding safer digital ecosystems. The taxonomy serves as a foundation for analyses in national contexts to foster TFA awareness.

Renjing Chen, Wenhai Liang, Yilin Xu et al.

Spatial intensity modulation in amplified laser beams, particularly hot spots, critically constrains attainable pulse peak power due to the damage threshold limitations of four-grating compressors. This study demonstrates that the double-smoothing grating compressor (DSGC) configuration effectively suppresses modulation through directional beam smoothing. Our systematic investigation validated the double-smoothing effect through numerical simulations and experimental measurements, with comprehensive spatiotemporal analysis revealing excellent agreement between numerical and practical pulse characteristics. Crucially, the DSGC enables a 1.74 times energy output boost compared to conventional compressors. These findings establish the DSGC as a pivotal advancement for next-generation ultrahigh-power laser systems, providing a viable pathway toward hundreds of PW output through optimized spatial energy redistribution.

David Idiata, Ngozi Kayode - Ojo, Ehizonomhen Okonofua

This study investigates the geochemical and geotechnical properties of soils from Uwelu, Benin City, Nigeria (6.3861°N, 5.5827°E, 107 m altitude), to assess their engineering relevance. Samples from two sites underwent tests including specific gravity, sieve analysis, Atterberg limits, compaction, and California Bearing Ratio (CBR), following ASTM and AASHTO standards. X-ray fluorescence (XRF) was used to determine the presence of major oxides and trace elements. The soils, classified as A-2-4 and A-2-6 by AASHTO, had specific gravities of 2.55 and 2.54. The optimum moisture content was 10%, with Maximum Dry Densities (MDD) of 2.01 and 2.06 g/cm³. CBR results showed higher strength in unsoaked samples (20.11%, 6.38%) than soaked ones (9.69%, 3.24%). SiO₂ dominated the geochemistry (57.33%, 48.36%), with notable Al₂O₃ and Fe₂O₃. The findings emphasize the value of integrating geochemical and geotechnical analyses in construction.

Guangyou Zhu, Xi Li, Bin Zhao et al.

Abstract The 10 000‐m ultradeep dolomite reservoir holds significant potential as a successor field for future oil and gas exploration in China's marine craton basin. However, major challenges such as the genesis of dolomite, the formation time of high‐quality reservoirs, and the preservation mechanism of reservoirs have always limited exploration decision‐making. This research systematically elaborates on the genesis and reservoir‐forming mechanisms of Sinian–Cambrian dolomite, discussing the ancient marine environment where microorganisms and dolomite develop, which controls the formation of large‐scale Precambrian–Cambrian dolomite. The periodic changes in Mg isotopes and sedimentary cycles show that the thick‐layered dolomite is the result of different dolomitization processes superimposed on a spatiotemporal scale. Lattice defects and dolomite embryos can promote dolomitization. By simulating the dissolution of typical calcite and dolomite crystal faces in different solution systems and calculating their molecular weights, the essence of heterogeneous dissolution and pore formation on typical calcite and dolomite crystal faces was revealed, and the mechanism of dolomitization was also demonstrated. The properties of calcite and dolomite (104)/(110) grain boundaries and their dissolution mechanism in carbonate solution were revealed, showing the limiting factors of the dolomitization process and the preservation mechanism of deep buried dolomite reservoirs. The in situ laser U‐Pb isotope dating technique has demonstrated the timing of dolomitization and pore formation in ancient carbonate rocks. This research also proposed that dolomitization occurred during the quasi‐contemporaneous or shallow‐burial periods within 50 Ma after deposition and pores formed during the quasi‐contemporaneous to the early diagenetic periods. And it was clear that the quasi‐contemporaneous dolomitization was the key period for reservoir formation. The systematic characterization of the spatial distribution of the deepest dolomite reservoirs in multiple sets of the Sinian and the Cambrian in the Chinese craton basins provides an important basis for the distribution prediction of large‐scale dolomite reservoirs. It clarifies the targets for oil and gas exploration at depths over 10 000 m. The research on dolomite in this study will greatly promote China's ultradeep oil and gas exploration and lead the Chinese petroleum industry into a new era of 10 000‐m deep oil exploration.

Longfei Xu, Xuefeng Xu

This paper investigates the coupled relationship between solid-phase temperature fields and droplet evaporation, focusing on the effects of substrate thermal conduction properties on droplet evaporation behavior. A mathematical model is developed to analyze the impacts of substrate thermal conductivity, thickness, and lower-surface temperature on evaporation rate, surface temperature, and evaporation flux. A dimensionless relative evaporation rate (HCs) is introduced to characterize the influence of substrate thermal conduction. Results show that increasing substrate thermal conductivity enhances droplet surface temperature and evaporation flux, thereby monotonically increasing evaporation rate until it approaches the rate of the evaporative cooling model. Conversely, increasing substrate thickness lengthens the heat transfer path, reducing heat conducted to the solid–liquid interface and decreasing evaporation rate. Changes in substrate lower-surface temperature significantly affect evaporation rate, but HCs remains nearly unaffected. The concept of equivalent substrates is proposed and verified through dimensionless analysis and simulations. It is found that different combinations of substrate thickness and thermal conductivity exhibit consistent effects on droplet evaporation, with minimal relative errors in evaporation rate and total heat transfer at the solid–liquid interface. This confirms the existence of the equivalent substrate phenomenon. Additionally, the effects of droplet properties, such as contact angle and evaporative cooling coefficient (<i>Ec</i>), on the equivalent substrate phenomenon are explored, revealing negligible impacts. These findings provide theoretical guidance for optimizing droplet evaporation processes in practical applications, such as micro/nanoscale thermal management systems.

Lukas Puts, Daan Lenstra, Kevin A. Williams et al.

Brain-inspired, neuromorphic devices implemented in integrated photonic hardware have attracted significant interest recently as part of efforts towards novel non-von Neumann computing paradigms that make use of the low loss, high-speed and parallel operations in optics. An all-optical spiking laser neuron fabricated on the indium-phosphide generic integration technology platform may be a practical alternative to other semi-integrated photonic and electronic-based spiking neuron implementations. Owing to the large number of predefined building blocks, a plethora of applications have benefitted already from the generic integration process. This technology platform has now been utilised for the first time to demonstrate an all-optical spiking laser neuron. This paper present and discusses the design and measurement of the ultra-fast and rich spiking dynamics in these devices. We show that under external pulse injection and operated slightly below the lasing threshold, the laser neuron exhibits an excitable mode, in addition to a self-spiking mode far above the threshold when no pulse is injected. In the excitable mode, the required injected pulse energy is much lower than that of the generated excited response, meeting an important requirement for neuron cascadability. In addition, we investigate excitability at different injection wavelengths below the lasing wavelength, as well as the ultra-fast temporal properties of the spiking response. All of the discussed characteristics point to the laser neuron being an important candidate for scaling up to future fully-connected, multi-wavelength all-optical photonic spiking neural networks in indium-phosphide generic integration technology.

Tulay Ilhan-Nas, Aysegul Saglam, Tarhan Okan et al.

Industry 4.0, whose effects have been more and more noticeable in recent years, and the digital change it brings call for a new educational model that aligns university instructional processes and curricula with the demands of business. This approach, known as University 4.0, intends to promote more technology-based applications, the power of innovation, the training of skilled specialists to satisfy industrial needs, and the development of competences that can achieve multidisciplinary projects. It is of utmost importance to adapt late-industrializing nations’ educational systems, such as Turkey’s, to this change process. The aim of this research, which takes the Turkish context as a reference, is to reveal how the curricula and educational processes of business schools should be shaped with a perspective that takes into account the human resources requirements of industry 4.0. A decision-making technique that integrates QFD, Delphi, and DEMATEL methods was employed in the study. The results clearly show that the most important expectation for social stakeholders is to provide university-industry cooperation. However, some of the most pressing problems include applied learning through collaborative educational experiences, teamwork skills, changing roles and competencies of academics. The findings point out that the educational activities of business schools must be linked with industry expectations through technology-based training activities and teamwork.

Ziyi Yin, Guowei Huang, Rui Zhao et al.

Abstract Crowdfunding has become important in increasing financial support for the development of green technologies. Self-disclosed information significantly affects supporters’ decisions and is important for the success of green project funding. However, current studies still lack investigations into the impact of information disclosure on green crowdfunding performance. This research aims to fill this knowledge gap by exploring eight information disclosure-relevant factors in green crowdfunding performance. Applying machine learning techniques (e.g., Natural Language Processing and Computer Vision) and logistic regression, this study investigates 720 green crowdfunding campaigns on GoFundMe and empirically finds that the duration, length of campaign introductions, and length of the title influence fundraising outcomes. However, no evidence supports the impact of goal size, emotion of campaign introduction, or image content on funding success. This study clarifies the information disclosure-related data that green crowdfunding campaigns should consider and provides founders with a constructive guide to smoothly raise money for a green crowdfunding campaign. This study also contributes to data processing methods by providing future studies with an approach for transferring unstructured data to structured data.

R. Fry

Ling Zhang, Kebin Shao, Wenfeng Tang et al.

Given the ageing global population, it is important to promote “healthy ageing”. One of the most effective ways to achieve this is by prolonging the health of older people. Both the physical and mental well-being of older people are closely related to their living environment. Providing daily outdoor activities and enhancing the quality of public spaces and amenities in residential areas can encourage the adoption of healthy behaviours among older people. This study selected eight typical residential areas in Shenzhen, China, and analysed 40 outdoor public spaces. Video content obtained from fixed-point behavioural observation was entered into the Mangold INTERACT behavioural analysis system to extract the health behaviour data of older people. Regression analysis was then performed on the health behaviour data and the index data of the sample space elements. The results showed that several factors affect the outdoor health behaviours of older people. These factors include the scale of the outdoor space, the size of the hard ground area, the quality of the grey space, the green-looking rate, the accessibility of the site, the number of fitness facilities, and the richness of site functions. This study focused on a host of health-related behaviours such as rest, leisure, communication, and exercise. It confirmed the corresponding spatial needs of the elderly when engaging in the aforesaid activities. In this way, the quantitative research has supplemented previous studies by studying and evaluating the behaviour and activities of the elderly in specific settings. Through the analyses, a configuration model of outdoor space in residential areas was constructed with the aim of health promotion. Based on this model, a flexible and multilevel configuration list revealing seven specific types under three priorities is being proposed. The findings provide a scientific and effective strategy for optimising the quality of outdoor environments in residential areas. More specifically, the deployment of the Mangold INTERACT system to extract and quantify behavioural data enabled this study to overcome the limitations of traditional approaches to behavioural observation and recording. This provides a prelude for other quantitative research on the environment and behaviour.