Miracle-dz/UniFAR-FTUs huggingface dataset:
Innovations in Smart Materials and Integrated Structural Health Monitoring in the Australian Defence Force

The Australian Defence Science and Technology Organisation (DSTO) has established a leading-edge program to enable the development and transitioning of innovative Smart Materials and Structures technology across the spectrum from fundamental science to use in the field. This program extends and harnesses technology in the area of Smart Materials, Sensors and Systems, in order to increase safety of Defence aircraft, ships, submarines and vehicles, increase availability, reduce the cost of asset ownership and operations, and enhance overall military capability. The program has linkages into broad networks, with strong university and industry relationships, and is also very relevant to the management of civil infrastructure and other equipment. We present here an overview of some key research areas within the DSTO Smart Materials and Structures Initiative, highlighting developments in : (i) Smart Materials, including environmentallyfriendly coatings that exhibit properties of greater flexibility and durability for aerospace applications, nano-crystalline coatings that provide increased wear resistance, and Defence applications for carbon nanotubes; (ii) Smart Sensing, including chemical, structural fatigue, fuel contamination, environmental degradation, corrosion and its precursors, and overheating and mechanical wear; and (iii) Smart Systems that employ innovative techniques to acquire and process data from a range of sensors by harvesting energy from local structures to power microelectronic circuits.
A Method for Practical Zero Carbon Refurbishments: A Residential Case Study*

The existing Australian building stock is responsible for around one quarter of our total greenhouse gas (GhG) emissions, and it is being replaced at a very slow rate. We urgently need to retrofit these buildings to reduce our GhG emissions to meet Australia’s expectations and international obligations. This paper illustrates a method of finding practical refurbishment options to reduce GhG emissions in a brick veneer residential project home by employing best practice passive solar house strategies. The method uses the second generation residential energy rating software, AccuRate to gauge the effectiveness of each option, and then estimates the cost of those options, including current government rebates. The paper also considers the lessons learnt from the design of the solar photovoltaic system, and considers the advantages of using GreenPower. The case study uses various criteria to rank the strategy results e.g. the star rating (the ceiling R4 insulation increase was two points); the savings of the energy required for comfort; the cost; and the extent of carbon reductions. The case study also shows the dramatic impact of the solar photovoltaic system.
Immunotherapy in head and neck squamous cell carcinoma: a narrative review

Objective: Provide a narrative review of the literature describing immunological concepts and novel approaches in the treatment of head and neck squamous cell carcinoma. Background: In 2016, two anti-PD1 antibodies, nivolumab and pembrolizumab, were shown to improve overall survival in patients with recurrent/metastatic HNSCC and were approved by the US Food and Drug Administration (FDA) for use in the second line, cisplatin-resistant setting, although the overall response rates were only about 15%. More recently, pembrolizumab was approved for use in the first-line R/M setting as monotherapy in patients with CPS >1 or in combination with chemotherapy regardless of PD-L1 expression. Interestingly, while response rates with combination therapy were increased compared to pembrolizumab alone, the duration of response was shorter than might be expected. Based on a growing amount of evidence in other types of cancer treated with various combinations of immunotherapy, similar concepts are being studied in HNSCC, both in pre-clinical models and in clinical trials. Methods: A review of the literature was conducted using the Medline-PubMed and ClinicalTrials.gov databases. Main topics were selected for review, including basic immunology background, checkpoint inhibition, neoadjuvant immunotherapy, the combination of immunotherapy with radiation therapy and chemotherapy, intratumoral immunotherapy, and future prospects. Conclusions: There is an ongoing effort, which is supported by an increasing body of evidence, to enhance response rates with combinations of immunotherapy with other immunotherapy agents, targeted small molecules, chemotherapy, radiation therapy, and surgery. The clinician and the scientist should be familiarized with basic immunologic concepts, key findings in recent clinical trials, and current indications for administering immunotherapy.
Transmission-type negative group delay networks using coupled line doublet structure

This study presents a novel approach to the design and implementation of transmission-type negative group delay (NGD) networks based on a coupled line doublet structure. To improve the reflection coefficients, a quarter-wavelength transmission line is connected between the input and through ports of a coupled line section. For the doublet structure, two coupled line sections are arranged in a symmetrical manner by connecting them back-to-back with the help of the quarter- wavelength through line. For the experimental demonstration, two planar NGD networks (unmatched and matched doublet NGD networks) are designed, simulated and measured at a centre frequency of 2.14 GHz. From the measurement, a group delay (GD) of −5.66 ns and signal attenuation (SA) of 18.78 dB were obtained in the case of an unmatched NGD network. Similarly, for the matched NGD case, a GD of −6.33 ns, SA of 20.69 dB and input/output return losses >29 dB were obtained at the centre frequency.
Biomechanical Factors Influencing Breaststroke Turns by Age-Group Swimmers

Because turning can account for one-third of breaststroke race time in 25 m pools, it is possible that enhancing turning techniques can improve performance significantly. Underwater video cameras and a force platform were used to analyze turning techniques of 23 age-group breaststrokers during three 50 m push-start, maximum-effort swims. The criterion measure was the time elapsed between passing the 5 m mark on the approach and departure from the wall (5 m round-trip time [RTT]). Correlations revealed significant commonality of variance (p < .01) between the 5 m RTT and the 2.5 m RTT, 50 m time, average single-stroke velocity, peak reaction force, pivot time, impulse, peak horizontal velocity off the wall, arm and leg split-stroke resumption distances, surfacing distance, surfacing time, and horizontal velocity, height, and mass of the subjects. All swimmers achieved a net gain at the turn in that the mean 5 m RTT (20% of the distance) represented 18.26% of the total swimming time. Following stepwise regr.
Numerical simulation of heat transfer through hollow bricks in the vertical direction

This article focuses on the numerical modeling of the heat transfer in vertical cavities with small cross-sectional areas in hollow bricks heated from below by means of the computational fluid dynamics (CFD) analysis. The major aim is to specify the ratios between the equivalent thermal conductivities in vertical and horizontal directions (λ eq,v/λeq,h) for various types of hollow brick masonry. These ratios are not given by brick producers, though they are very important when assessing certain types of thermal bridges. This article presents the governing equations for CFD analysis, together with the main assumptions and boundary conditions. The validation of the FLOVENT CFD commercial code is also discussed, as are the effects of calculation mesh refinement. The results of the first analysis — vertical heat transfer in a single high cavity — show a strong influence of the cross-sectional area of the cavity on the natural convection. While the convective heat transfer for the heat flow in the downward direction is negligible for all considered cross-sectional areas, the natural upward convection disappears only for very high and narrow cavities. Such effects can also be seen in the results of the calculation of the ratio between the equivalent thermal conductivities in the vertical and horizontal directions for the model masonry or for actually produced hollow brick masonry. This ratio is smaller than 1.0 for downward heat flow and between 1.0 and 1.5 for upward heat flow in bricks with a small number of large cavities. By contrast, bricks with a large number of small cavities show almost the same ratio for both vertical directions of heat flow (from 2.2 to 2.7 depending on the actual honeycomb structure).
New metrics for chalcogenide material optimization in PCMs

A new methodology for thermal properties extraction is presented and applied to different cell geometries and different chalcogenide alloys. The new method allows the extraction of the material melting temperature and the cell thermal resistance which are useful parameters for material optimization. The methodology has been also applied to scaled devices allowing the assessment of proper scaling rules for the thermal parameters. The cell reliability and performance are then discussed and compared on a set of tellurium-poor GST alloys. The set current and the cell retention capabilities are compared as a function of stoichiometry, showing that a proper material engineering can straightforwardly modulate the cell performances and reliability according to the application requirements.
Research on 'Responsible Investment': An Influential Literature Analysis Comprising a Rating, Characterisation, Categorisation and Investigation

We develop Influential Literature Analysis (ILA) as a four step approach, which improves upon existing methods to synthesise research areas. The first step rates the candidate studies for a research synthesis according to their influence and selects the most influential ones to be synthesised. The second and third step characterises and categorises the influential studies, respectively, while the last step investigates the (sometimes conflicting) results and interpretations offered by influential studies in depth. Unlike existing approaches, in which the reviewers predominantly assess the relevance of candidate studies for their review themselves, ILA outsources its study assessment to the community of researchers by using researchers' average study influence judgement approximately embedded in citations. This process offers reviewers a much needed valid and predominantly author independent mean to select studies from ever increasing research areas. As we also improve on current citations measures and design a preventive mean against over-specification into our ILA's structure, ILA can assess any type of unpublished work with a higher precision than previous studies and adjust for the imperfections of citation based study influence measurement in any synthesis setting, respectively. Applying ILA to responsible investment, we find responsible investment to be under-theorised and financially successful responsible investing to likely require a specific responsible investment skill. We also investigate the hypothesis that responsible funds do not necessarily have to experience a diversification penalty as commonly believed but might even enjoy a diversification benefit in some cases. Furthermore, we extend previous research, as we hypothesise that investors can fairly be expected to demand a higher premium on climate change than on business cycle induced systematic risk in a few decades, which implies a promising financial performance potential of climatically responsible funds. Our ILA suggests to many responsible funds the need for training and advice to realise their financial potential and to researchers a multitude of routes for future influential research.
Epidemiological profile of type 1 diabetes among primary school children in Baghdad, Iraq

Objectives: To estimate the prevalence of type 1 Diabetes Mellitus in primary school children in Baghdad City, and to evaluate its effect on growth of those children. Methods: This comparative cross-sectional study was conducted in a sample of primary schools in Baghdad city selected by multistage cluster sampling. All primary school students in the selected schools were included. For every diabetic child, we selected a child from the same class who is free from diabetes. Information on disease variables were obtained through sending questionnaire to the children’s parents. The Centers for Disease Control and Prevention growth charts were used. Results: The total number of primary school students in the selected 141 schools was 69,115; 110 of them had T1DM (159/100,000). Female to male ratio was 1.3:1. Obesity and underweight were significantly lower in diabetics than non-diabetic children (P=0.03). Conclusion: The prevalence of type 1 diabetes mellitus was 159 per 100,000, which was approximate to the prevalence in Saudi Arabia, less than that in Al-Kuwait, but higher than that in Turkey. Percentage of underweight and obesity were lower in the diabetics while overweight percentage was slightly higher compared to the non-diabetics.
Modeling the Impact of Person-Organization Fit on Talent Management With Structure-Aware Attentive Neural Networks

Person-Organization fit (P-O fit) refers to the compatibility between employees and their organizations. The study of P-O fit is important for enhancing proactive talent management. While considerable efforts have been made in this direction, it still lacks a quantitative and holistic way for measuring P-O fit and its impact on talent management. To this end, in this paper, we propose a novel data-driven neural network approach for dynamically modeling the compatibility in P-O fit and its meaningful relationships with two critical issues in talent management, namely talent turnover and job performance. Specifically, inspired by the practical management scenarios, we creatively propose a novel neural-network-based P-O fit model. We first designed three kinds of organization-aware compatibility features extraction layers for measuring P-O fit. Then, to capture the dynamic nature of P-O fit and its consequent impact, we further exploit an adapted Recurrent Neural Network with attention mechanism to model the temporal information of P-O fit. Finally, we compare our approach with a number of state-of-the-art baseline methods on real-world talent data. Experimental results clearly demonstrate the effectiveness in terms of turnover and job performance prediction. Moreover, we show some interesting indicators of talent management through the visualizing some network layers.
Precast Concrete Pavement for Intermittent Concrete Pavement Repair Applications

Precast pavement systems are fabricated or assembled off-site, transported to the project site, and installed on a prepared foundation (existing pavement or re-graded foundation). The system components require minimal field curing time to achieve strength before opening to traffic. These systems are primarily used for rapid repair, rehabilitation, and reconstruction of asphalt and portland cement concrete (PCC) pavements in high-volume-traffic roadways. Recognizing the need for effective, rapid rehabilitation methods, the Federal Highway Administration, through its Concrete Pavement Technology Program, and several United States and Canadian highway agencies have initiated programs to investigate the feasibility of using precast concrete for pavement repair and rehabilitation. Parallel to agencies’ efforts, several organizations in the U.S. also initiated independent development activities to refine precast concrete pavement technologies. These technologies have certain proprietary features and require licensing for product use. The Strategic Highway Research Program 2, as part of its rapid highway renewal focus area, has sponsored a study (begun in early 2008) to advance modular/precast pavement technologies to enable cost-effective rapid repair and rehabilitation of pavements in high-volume traffic areas. This paper provides a summary of current initiatives related to precast pavement technology for intermittent repair of concrete pavements and provides a framework for advancing the technology in future years.
Impact of LOS/NLOS Transitions on Signal Quality Predictions

—An envisioned characteristic of beyond 5G networks is the regular use of Machine Learning (ML) based solutions in order to enhance the network performance. One possibility is to predict the signal quality in advance in order to anticipate actions, e.g., anticipate signaling related to handover and pre-allocate resources. One important point that must be investigated is how ML based models are impacted by dynamic changes in the environment. More speciﬁcally, the present work investigates the impact of LOS/NLOS transitions on signal quality prediction. The selected algorithm for this study was the well known ARIMA. Simulation results showed that the LOS/NLOS transition is a critical moment for predictions, since previous and future samples are highly uncorrelated. Besides, it was also shown that varying the prediction size window impacts more than varying the user speed.
Evaluation and Management of Dental Pain in Children Motivating Emergency Consultation at the Dental Consultation and Treatment Center of Casablanca

Objective: The objective of this study is to determine the causes, characteristics, treatment of dental pain that was the chief complaint and its evaluation in children aged 4 to 15 years old cared for at the dental consultation and treatment center of Casablanca. Materials and Methods: This is a descriptive cross-sectional study of 150 children aged between 4and 15years old consulting and/or being cared for in the departments of emergency and pediatric dentistry of the Dental Consultation and Treatment Center of Casablanca. Results: Dental pain was the chief complaint for 92.7% of the study population. 47.5% of the pain was of pulpal origin and 37.4% was related to an infectious complication. 83.8% of patients aged 4 to 6 years required management, while only 48% of patients aged 6 to 15 years had intense to very intense pain. In 61% of cases, this pain was managed by a dental procedure, compared with 35% who were managed by combining the dental procedure with a drug prescription and 4% by a drug prescription. Antibiotics alone or in combination were the most frequently prescribed medication in 35.8% of cases. Dental pain was managed by dental extractions in 46.8% of cases, pulp treatment in 30.2% of cases, and cavity curettage in 7.9% of cases. Conclusion: Dental pain is one of the most dreaded pains, seen, its intensity, frequency, complications and impact on the child's daily activities. This requires its diagnosis, evaluation, and relief to improve the quality of life of young patients.
Pengaruh Current Ratio, Debt to Equity Ratio, Dan Return on Assets terhadap Kebijakan Deviden pada Perusahaan Property dan Real Estate yang Terdaftar di Bursa Efek Indonesia

In investing capital an investor needs a company's financial statements that will help in making investment decisions. This study aims to analyze and test the effect of the current ratio, debt to equity ratio, return on assets on dividend payout ratios in property and real estate companies listed on the Indonesia Stock Exchange (IDX) for the 2015-2017 period. The research method in this study uses a quantitative approach. There were 46 companies that were used as populations in this study and by using a purposive sampling technique 13 samples were also obtained. The data analysis testing method used is multiple linear regression analysis using the classic assumption test. The results of this study show that the current ratio, debt to equity ratio, and return on assets have a simultaneous effect on dividend policy on property and real estate companies listed on the IDX for the 2015-2017 period with a Fcount value of 4.309> Ftable of 2, 87. Partially the debt to equity ratio, return on assets has no effect on dividend policy while the current ratio partially has a positive effect on dividend policy. The results of the analysis of the coefficient of determination show the Adjusted R2 value of 0.207, meaning that the variation in the variable dividend payout ratio can be explained by variations in the current ratio variable, debt to equity ratio and return on assets by 20.7% while the remaining 70.3%, is described by other variables outside research. Keywords: Current Ratio (CR), Debt to Equity Ratio (DER), Return on Assets (ROA) and dividend policy
Finite-Element Method Simulations of Guided Wave Phenomena at Terahertz

As the science and engineering associated with terahertz time-domain spectroscopy and imaging evolves past the use of conventional free-space optics, the continued development of waveguides for terahertz pulses is increasingly relevant. The ability to model and simulate terahertz wave propagation aids in the development, visualization, and understanding of novel terahertz devices and phenomena. We discuss the use of the finite-element method, a powerful computational tool for the modeling of guided wave phenom- ena and devices at terahertz frequencies.
Optimization of biosolids as a substrate for tomato transplant production

: The need to recycle waste and increasing pressure against peat extraction and importation, have led to increasing interest in substituting peat with organic wastes. Use of biosolids substrate would be a low cost alternative substrate to peat for commercial production of transplants. The objective of this study was to determine the eﬀect of biosolids­forest soil mixture ratios on tomato ‘Maxim F1’, transplants emergence and growth. A randomized com­ plete block design with four replications was used in this study. The treatments were: biosolids (BS) mixed with forest soil (FS) at rates of 0% 10%, 20%, 30%, 40%, 50% and 60% (v/v), tea compost (TC) and coco peat (CP). Five tomato seeds were planted in four 250 cm 3 pots, grouped into four to form an experi­ mental unit. Results showed that biosolids (BS) at rate of 30% registered signiﬁ­ cantly ( p <0.05) higher seedling emergence (94%), leaf numbers (4.5), height (16.5 cm), collar diameter (6.3 mm), chlorophyll content (25 index units), root volume (2.0 cm 3 ) and root/shoot dry matter (10.2 % and 16.3%, respectively) than the rest of the substrates except tea compost (TC). Sodium was signiﬁcant­ ly ( p < 0.05) higher in BS at rates of 50% (350 mg kg ­1 ) and 60% (376 mg kg ­1 ) and this raised EC (4.5) and lowered pH of the media to 4.4.
Stimulating industrial ecosystems with sociotechnical imaginaries: The case of Renault Innovation Community

Facing the necessity to increase their innovation capabilities in a more and more holistic context, companies are creating new collaborative organizations aiming to collectively explore potential radical innovation fields. In this paper, we propose to study the nature of these new collectives for innovation through two managerial patterns: objects of collaboration and organizational mechanisms of coordination. Based on longitudinal collaborative research with the French carmaker Renault, the research analyses the case of the Renault Innovation Community, which involved members in original collaboration features to stimulate the industrial ecosystem of mobility and to support the potential emergence of new ecosystems. The main results of the empirical research underlined that: (1) objects of collaboration surpassed the detection of societal expectations to focus on sociotechnical imaginaries stimulation and dissemination; and (2) organizational mechanisms of collaboration exceed open innovation logics to focus on the collective building of favorable emergence conditions for new industrial ecosystems.