A Comparative Study of Deep Learning Model and Simple Prediction Charts in Construction Noise Prediction

Construction noise monitoring is crucial to assess the impacts of construction noise on the workers and surroundings. However, the existing noise prediction methods are time-consuming in which required laborious work for the computation of noise levels. This study aims to assess the accuracy and reliability of deep learning model (DL) that adopted stochastic modelling and artificial neural network (ANN) in construction noise prediction. The artificial neural network was trained with the output of stochastic modelling. The outcome of noise level prediction using simple prediction chart (SPC) and DL model was discussed and compared to 3 case studies. The case studies were conducted at construction sites located in Semenyih, Selangor, Malaysia. The results of DL model showed high accuracy of predicted noise levels along with an absolute difference of less than 2.3 dBA. Besides, the predicted noise levels are reliable as the R-squared value is higher than 0.992. On that account, DL model is proved to be reliable and accurate in noise level prediction and it has the potential to be utilized as a managerial tool to monitor construction noise more effectively

Socially-enhanced variants of mobile bingo game: Towards personalized cognitive and social engagement among seniors

Elderlies often feel isolated or disregarded. This may lead to depression, lack of cognitive and social engagement. This project thus aims to engage the elderlies through three variants of a mobile bingo game application designed based on Norman’s usability principles. This paper presents the design and development of three variants of the mobile bingo game to suit the needs of senior citizens. User testing outcomes on user experience, usability and cognitive load are positive

Effect of Ceramic Dust as Partial Replacement of Cement on Lightweight Foamed Concrete

Disposal of waste into the landfill causes a severe impact on the environment. One of the waste products is ceramic waste. Ceramic waste has some excellent properties in its durability, hardness, and highly resistant to biological, chemical, and physical degradation forces. These excellent properties of the ceramic waste may make it suitable to be used in concrete. This study investigates the effect on the compressive strength of lightweight foamed concrete with different percentage of ceramic dust replacement level towards the cement and three different levels of water-cement ratio. 0%, 5%, 15%, and 25% of replacement level with 0.52, 0.56, and 0.60 water-cement ratios respectively for each replacement level was used as the parameter to investigate the fresh properties, and strength performance of lightweight foamed concrete. The stability and consistency of every mix are studied as well. From this study, it was observed that the incorporation of ceramic waste dust partially replaced the cement did not affect on the fresh properties of the foamed concrete. However, the compressive strength of foamed concrete affected by ceramic waste dust partially replaced the cement

Coherent Time-Varying Graph Drawing with Multifocus+Context Interaction

Abstract—We present a new approach for time-varying graph drawing that achieves both spatiotemporal coherence and multifocus+context visualization in a single framework. Our approach utilizes existing graph layout algorithms to produce the initial graph layout, and formulates the problem of generating coherent time-varying graph visualization with the focus+context capability as a specially-tailored deformation optimization problem. We adopt the concept of the super graph to maintain spatiotemporal coherence and further balance the needs for aesthetic quality and dynamic stability when interacting with time-varying graphs through focus+context visualization. Our method is particularly useful for multifocus+context visualization of time-varying graphs where we can preserve the mental map by preventing nodes in the focus from undergoing abrupt changes in size and location in the time sequence. Experiments demonstrate that our method strikes a good balance between maintaining spatiotemporal coherence and accentuating visual foci, thus providing a more engaging viewing experience for the users. Index Terms—Graph drawing, time-varying graphs, spatiotemporal coherence, focus+context visualization

Instability of agegraphic dark energy models

We investigate the agegraphic dark energy models which were recently proposed to explain the dark energy-dominated universe. For this purpose, we calculate their equation of states and squared speeds of sound. We find that the squared speed for agegraphic dark energy is always negative. This means that the perfect fluid for agegraphic dark energy is classically unstable. Furthermore, it is shown that the new agegraphic dark energy model could describe the matter (radiation)-dominated universe in the far past only when the parameter $n$ is chosen to be $n>n_c$, where the critical values are determined to be $n_c=2.6878(2.5137752)$ numerically. It seems that the new agegraphic dark energy model is no better than the holographic dark energy model for the description of the dark energy-dominated universe, even though it resolves the causality problem.Comment: 15 pages 4 figure

Markers of dengue severity: a systematic review of cytokines and chemokines.

The prognosis of dengue remains a challenge in the early, objective triage of patients with dengue fever of differing severity. Circulating immuno-modulating proteins have brought new possibilities as prognostic markers of severe dengue (SD). This systematic review is devoted to understanding the potential utility of blood-based cytokines and chemokines as prognostication markers of SD based on the current literature. PubMed and Embase were searched. Of 794 candidate articles, 685 abstracts were screened against our exclusion/inclusion criteria and 25 (3.6 %) studies met the quality assessments. A total of 18 studies were retrospective observational and 2 were prospective cohort studies. Elevated IL-10, up to day 7 of fever onset, stood out as a candidate prognostic marker for SD using the 1997 and 2009 World Health Organization (WHO) case definitions. IFNγ was another potential prognostic marker of SD (1997 WHO case definition), but its levels varied between studies. Significant heterogeneity in methodologies and patient cohorts prevent ready application of IL-10 and IFNγ as prognostic markers to other dengue populations. Our results suggest that the current non-randomized studies are delivering inconsistent messages and higher-quality studies, with consistent methodologies and validation in independent patient cohorts, are needed to delineate confounding variables. Major gaps identified were full accounting and transparency of sampling days, dengue virus type, infection status and age group

Behavioural Study of Concrete Surface Crack Filling Conditions on Surface Rayleigh Wave

In the recent studies of concrete surface crack non-destructive test (NDT), the environmental factors are seldom to be taken into assessment consideration using Rayleigh wave (R-wave) propagation method. Dust, fine sand or water that accumulated in the concrete surface cracks might potentially affect the behaviour of R-wave when it propagated through the cracks. In this study, the effects of filling conditions in concrete surface crack to the properties of R-wave were examined. The targeted parameters that used for studying the behaviour of R-wave are the arrival time of R-wave and its corresponding amplitude. Numerical simulations were conducted for determining the changes of R-wave amplitudes and arrival time when it propagated through a concrete model with a surface crack which containing various filling conditions. Sand and charcoal powder were the materials used for filling the concrete cracks. The results of numerical simulations were then justified by experimental measurements. The comparison between the results of numerical simulation and experimental measurement generated a conclusion where R-wave arrival time and its corresponding amplitude is independent from the predefined filling conditions of concrete surface crack

Solution enhanced dispersion by supercritical fluids (SEDS): an approach in particle engineering to modify aqueous solubility of andrographolide from Andrographis paniculata extract

The objective of study is to improve aqueous solubility of andrographolide through particle engineering using Solution Enhanced Dispersion by Supercritical Fluids (SEDS) approach. The precipitation pattern of sticky crude Andrographis paniculata extract from CO2-acetone system and CO2-acetone:ethanol (v/v) 1:1 system as well as the aqueous solubility of andrographolide precipitated were first studied at different pressure (100, 150 bar) and temperature (40, 50 °C) combination (full factorial design). The modification of aqueous solubility of andrographolide was then attempted by manipulating its precipitation process from CO2-solvent systems consisting of single solvent and solvent mixture at different proportions (v/v) at the appropriate pressure-temperature combination. A. paniculata powder precipitated from CO2-acetone system at 150 bar, 40 °C was found to be large, irregularly shaped, less crystalline with the highest andrographolide aqueous solubility (twofold increment compared to crude extract) and recovery compared to those precipitated from CO2-ethanol system and other CO2-solvent mixture systems. Complete dissolution of andrographolide from A. paniculata powder precipitated from CO2-acetone system had been achieved within 90 min. For SEDS precipitation under solvent mixture system, with increment of proportion of ethanol from 25% to 75%, larger particles and change of powder morphology from stripes into plates were resulted. Based on the higher aqueous solubility and dissolution of andrographolide, recovery as well as a different morphology observed from the less crystalline A. paniculata powder precipitated from CO2-acetone system, less impurities could have co-precipitated with andrographolide

Patients with more comorbidities have better detection of chronic conditions, but poorer management and control:findings from six middle-income countries

Background The burden of non-communicable diseases (NCDs) is rising rapidly in middle-income countries (MICs), where NCDs are often undiagnosed, untreated and uncontrolled. How comorbidity impacts diagnosis, treatment, and control of NCDs is an emerging area of research inquiry and have important clinical implications as highlighted in the recent National Institute for Health and Care Excellence guidelines for treating patients suffering from multiple NCDs. This is the first study to examine the association between increasing numbers of comorbidities with being undiagnosed, untreated, and uncontrolled for NCDs, in 6 large MICs. Methods Cross-sectional analysis of the World Health Organisation Study of Global Ageing and Adult Health (WHO SAGE) Wave 1 (2007–10), which consisted of adults aged ≥18 years from 6 populous MICs, including China, Ghana, India, Mexico, Russia and South Africa (overall n = 41, 557). Results A higher number of comorbidities was associated with better odds of diagnosis for hypertension, angina, and arthritis, and higher odds of having treatment for hypertension and angina. However, more comorbidities were associated with increased odds of uncontrolled hypertension, angina, arthritis, and asthma. Comorbidity with concordant conditions was associated with improved diagnosis and treatment of hypertension and angina. Conclusion Patients with more comorbidities have better diagnosis of chronic conditions, but this does not translate into better management and control of these conditions. Patients with multiple NCDs are high users of health services and are at an increased risk of adverse health outcomes. Hence, improving their access to care is a priority for healthcare systems

Consumer intention to use QR code

This study examines how the users' perception of QR code affects their attitude towards QR code, particularly in the context of Malaysian local university students. Next, the study examines the relationship between their attitude towards QR code and their intention to use the QR code. Empirical analysis via multiple regression analysis affirmed that PIQ influences PU and PSQ influences PEoU. Additionally, both PU and PEoU influences the attitude of users, which leads to the influence of attitude towards the user's intention to use to QR code. The functionality of QR codes can be utilized by business entities to serve for their company and create revenue. However, the companies must modify the content of the QR code application according to the minimum requirements and perception of the users. The results of this research offer essential guidelines for companies to tailor the information of their campaigns to the users' preferences. Next, future researches can utilize the proposed theoretical framework to exploit the potentials of QR code in the marketing field