Miracle-dz/UniFAR-FTUs huggingface dataset:
New Calcium Silicate Hydrate Network

The seeding effect of finely dispersed calcium silicate hydrate (C-S-H) particles on tricalcium silicate hydration and on cement was investigated. An extremely small amount of C-S-H nuclei (0.3%) significantly increases the degree of hydration of both by promoting the growth of C-S-H clusters into the pore solution instead of around the tricalcium silicate or cement grains. Indeed, it was clearly shown that growth takes place around nuclei delivered by seeding materials and therefore in pore spaces. Nevertheless, some of the nuclei persist onto cement grains. The efficiency of seed suspensions for accelerating hydration is qualitatively related to the cluster size of nuclei formed during the synthesis and to the polymer type used to stabilize the smallest particles. Although early growth occurs in the pore solution, the mechanical properties of the cement pastes are preserved, and use of seeding consequently accelerates the strength development of mortars.
Application of digital micromirror devices for spectral-response characterization of solar cells and photovoltaics

A key parameter in evaluating the performance of photovoltaic (PV) solar cells is characterization of electrical response to various incident source spectra. Conventional techniques utilize monochromators that emit single band-passes across a spectral region of interest. Since many solar cells respond differently at different broadband source light levels, a white bias light source that raises the overall light level to simulate the sun's broadband emission is typically introduced. However, such sources cannot render realistic solar continua. We present some initial results demonstrating how a spectrally-dispersed broadband source modulated with Texas Instruments' Digital Light Projection (DLP®) technology can be used to more faithfully synthesize solar spectra for this application.
A Node-based Mathematical Model towards the Location Routing Problem with Intermediate Replenishment Facilities under Capacity Constraint

In this paper, we study the location routing problem with intermediate replenishment facilities (LRPIRF), an extension of the location routing problem (LRP), where the vehicles can replenish at some intermediate facilities. Vehicles leave the depot with load on-board, serve customers until out of load, may return to an intermediate facility to replenish, and finally return to the depot, completing their route. In this paper, we initiate a mathematical mixed integer programming model with new kind of subtour elimination constraints for this problem. Moreover, the facility location phase is considered besides vehicle routing phase in our problem. The objective of the problem is to find routes for vehicles to serve all customers at a minimal cost in terms of total travel cost and total facility location cost, without violating the capacity constraint of the vehicles. The solution to the LRPIRF is obtained through CPLEX solver in commercial software GAMS 23.5. 1 ,Genetic Algorithm and Tabu Search algorithm. Computational results are obtained on a set of randomly generated instances and indicate the effectiveness of the proposed algorithms in terms of solution time and quality.
Sparse Regression in Cancer Genomics: Comparing Variable Selection and Predictions in Real World Data

Background: Evaluation of gene interaction models in cancer genomics is challenging, as the true distribution is uncertain. Previous analyses have benchmarked models using synthetic data or databases of experimentally verified interactions – approaches which are susceptible to misrepresentation and incompleteness, respectively. The objectives of this analysis are to (1) provide a real-world data-driven approach for comparing performance of genomic model inference algorithms, (2) compare the performance of LASSO, elastic net, best-subset selection, L 0 L 1 penalisation and L 0 L 2 penalisation in real genomic data and (3) compare algorithmic preselection according to performance in our benchmark datasets to algorithmic selection by internal cross-validation. Methods: Five large ( n 4000 ) genomic datasets were extracted from Gene Expression Omnibus. ‘Gold-standard’ regression models were trained on subspaces of these datasets ( n 4000 , p = 500 ). Penalised regression models were trained on small samples from these subspaces ( n ∈ { 25 , 75 , 150 } , p = 500 ) and validated against the gold-standard models. Variable selection performance and out-of-sample prediction were assessed. Penalty ‘preselection’ according to test performance in the other 4 datasets was compared to selection internal cross-validation error minimisation. Results: L 1 L 2 -penalisation achieved the highest cosine similarity between estimated coefficients and those of gold-standard models. L 0 L 2 -penalised models explained the greatest proportion of variance in test responses, though performance was unreliable in low signal:noise conditions. L 0 L 2 also attained the highest overall median variable selection F1 score. Penalty preselection significantly outperformed selection by internal cross-validation in each of 3 examined metrics. Conclusions: This analysis explores a novel approach for comparisons of model selection approaches in real genomic data from 5 cancers. Our benchmarking datasets have been made publicly available for use in future research. Our findings support the use of L 0 L 2 penalisation for structural selection and L 1 L 2 penalisation for coefficient recovery in genomic data. Evaluation of learning algorithms according to observed test performance in external genomic datasets yields valuable insights into actual test performance, providing a data-driven complement to internal cross-validation in genomic regression tasks.
Theoretical Foundations to the Impact of Dog-Related Activities on Human Hedonic Well-Being, Life Satisfaction and Eudaimonic Well-Being

Cross-sectional comparisons of well-being between dog owners and non-owners commonly generate inconsistent results. Focusing on the uniqueness of the relationship might help address this issue and provide a stronger foundation for dog-related psychotherapeutic interventions. This study aims to evaluate the impact of dog-related activities (e.g., exercising the dog) on owner hedonic well-being, life satisfaction and eudaimonic well-being. It was also hypothesised that psychological closeness to the dog would affect these well-being outcomes. For this study, 1030 dog owners aged over 18 years old answered an online questionnaire about the impact of 15 groups of dog-related activities on their well-being. Ordinal regressions were used to estimate the mean response (and its uncertainty) for each outcome, while conditioning for psychological closeness to the dog and controlling for several key covariates. Tactile interactions and dog playing were significantly more beneficial than other activities for hedonic well-being, and dog training and dog presence for eudaimonic well-being. In contrast, dog health issues and behavioural problems were linked to decrements in these well-being outcomes. Higher psychological closeness to the dog predicted greater improvement in well-being in positive dog-related activities. Our quantitative study validates the general findings of previous qualitative work and lays the groundwork for future longitudinal studies.
Measurements of SEU and total dose in geostationary orbit under normal and solar flare conditions

The Meteosat-3 radiation effects experiment includes two 256-kb SRAMs configured for SEU detection and a RADFET array for dose measurement. SEU rates and doses are enhanced during solar flares. Two years of orbital data are compared with ground tests and prediction. The measured background dose is found to be lower than prediction. The measured solar flare dose agrees well with prediction. The view angle of the RADFETs was insufficient to allow the relative efficiency of low-Z/high-Z shielding to be verified. >
Stratospheric Temperature and Ozone Anomalies Associated With the 2020 Australian New Year Fires

Stratospheric aerosol, temperature, and ozone anomalies after the 2020 Australian bushfires are documented from satellite observations. Aerosol extinction is enhanced in the Southern Hemisphere (SH) lower stratosphere (LS) in early 2020, comparable in magnitude to the Calbuco eruption in 2015. Warm temperature anomalies of 1–2 K occur in the SH LS during January‐April 2020 and are coincident with enhanced aerosols. Radiative heating is indicated through anomalous temperature correlations between lower and higher latitudes. LS ozone shows midlatitude decreases several months after the aerosol maximum and before the polar vortex breakup, reaching extreme minima over the available OMPS record since 2011. Antarctic ozone depletion in the LS in 2020 reached a decadal low for both magnitude and persistence during November‐December, along with record low polar temperatures and a strong polar vortex. Overall, the polar ozone depletion, temperature, and polar vortex evolution broadly resembled the effects of the Calbuco eruption in 2015.
Research on Single Neuron Adaptive PID Controller

The paper focuses on single neuron adaptive PID controller based on unsupervised Hebb algorithm, and simulation research on the controller is carried out for a second-order pure lag process system. Simulation results show that through learning and adjusting weights of single neuron adaptive PID controller, its online self-tuning ability can make timely adjustment of PID controller parameters according to controlled object changes and external disturbances in order to ensure that the stability and robustness of the system and, ultimately, more satisfactory actual control effect is obtained. At last, the control characteristics and parameter design rules are concluded.
Effect of customer satisfaction on water utility business performance

Based on sample data from Ghana, West Africa, the study discussed in this article investigates the effect of customer satisfaction on water utility business performance. It considers customer satisfaction as a treatment variable and uses a nonparametric approach to test for differences in the conditional probability distributions of collection ratio and payment time, given pairs of customer satisfaction levels. Results show that the probability distributions of these performance indicators are significantly better for customers with high overall service‐delivery satisfaction than for those with low satisfaction, leading to the conclusion that customer satisfaction has a significant effect on water utility business performance; therefore, utility managers should take steps to ensure that service levels do not fall below customer expectations.
Self-commissioning of RFO IM drives: one-test identification of the magnetization characteristic of the motor

This paper is concerned with the self-commissioning of rotor-flux-oriented (RFO) induction motor (IM) drives operating at variable flux. A solution is proposed which identifies the magnetization characteristic of the motor by means of one test only. During the test, the motor is kept at standstill with a single-axis supply. Within the same test, the rotor resistance is also identified. The solution is suitable to be implemented in commercial drives, as it makes use of the on-board hardware. The paper starts by reviewing the model of a saturated IM under single-axis excitation. Then the theoretical bases of the solution are set forth and the test is formulated. Afterward, an experimental rig is built around a commercial RFO IM drive and the magnetization characteristic of the motor is identified. Its comparison with data obtained from standard no-load tests with different voltage supplies confirms the validity of the solution.
Conhecimento e prática assistencial dos fisioterapeutas em unidades de terapia intensiva pediátrica sobre mobilização precoce: estudo transversal

INTRODUÇÃO: A mobilização precoce (MP) pode ser definida como atividade física suficiente para promover melhoras fisiológicas e redução no seu período de internação; entretanto, a prática com crianças ainda é um desafio. OBJETIVO: Avaliar o conhecimento dos fisioterapeutas atuantes em unidades de terapia intensiva pediátrica (UTIP), bem como verificar a prática clínica quanto à MP em pacientes pediátricos críticos. MATERIAL E MÉTODOS: Estudo observacional, transversal e descritivo, através de um questionário on-line. As variáveis estudadas nesta pesquisa foram referentes a três domínios, perfil e conhecimento do profissional sobre as evidências científicas existentes acerca dos benefícios da MP e percepção do participante sobre a importância da MP nestes pacientes e as barreiras vivenciadas por eles. RESULTADOS: Foram consideradas 42 respostas na coleta de resultados, 92,9% do sexo feminino, 45,2% tinham mais de 10 anos de formação em fisioterapia, e 42,8% atuam de 5 a 10 anos em UTI pediátrica. Sobre a prática da mobilização precoce, 88,1% disseram acreditar que os estudos sugerem benefícios e 7,1% que não há evidência científica que suporte sua realização. Todos os profissionais relataram utilizar a MP em sua rotina assistencial. CONCLUSÃO: Pode-se observar que, nesta amostra, todos profissionais realizam a prática da MP em sua rotina assistencial e que a falta de conhecimento da equipe multidisciplinar é considerada como principal barreira para realização.
Diagnosing the strategic health of an organization from SWOT analysis results: case study of the Australasian cost management profession

To achieve strategic goals and success in the long term, every organization needs to be in a good state of health. It is argued that the strategic health of an organization depends on how the key strengths are leveraged to exploit prime opportunities, while at the same time, minimize exposure of the critical weaknesses to the serious threats in the external environment. Based on a SWOT analysis (strengths, weaknesses, opportunities and threats), the Strategic Health Index (SHI) was developed as a conceptual tool for diagnosing the strategic health of an organization. Application of the developed model was demonstrated in the assessment of the strategic health status of the Australasian cost management profession using analysed feedback from a convenience sample of 15 senior cost managers in Australia and New Zealand. Results show that expertise in procurement and cost consultancy was the key strength most leveraged to exploit identified opportunities, while lack of flexibility and versatility of service was the key weakness exposing the profession the most to the identified threats. Based on the SHI values, the overall strategic health of the cost management profession was diagnosed to be positive, in spite of its key weaknesses and threats. While these results specifically relate to cost managers, application of the model is highly recommended for use by business managers and others interested in assessing the long‐term health and survival of their organizations.
Individual and Neighborhood Determinants of Perceptions of Bus and Train Safety in Chicago, Illinois

Individuals decide to use public transit in part on the basis of their perception of transit safety, which is determined by various individual and environmental factors. This paper adopts a multilevel approach to analyze how perceptions of bus and train safety in Chicago, Illinois, vary as a function of person-level characteristics—gender, age, ethnicity, income, and frequency of transit ridership—and neighborhood-level characteristics—perceived neighborhood disorder, population density, and level of poverty. Hierarchical linear modeling is applied to a unique data set that combines data from three different sources: Chicago Transit Authority data on individual-level perceptions of transit safety and individual demographics, Chicago Alternative Policing Strategy data on perceptions of neighborhood disorder at the zip code level, and U.S. Census zip code–level demographic data. Findings show that the individual-and zip code–level effects differ depending on whether the estimation predicts bus or train safety perceptions. Additionally, while higher-income individuals and African Americans report lower levels of perceived bus safety, there is an additional zip code effect: low-density and high-poverty areas and neighborhoods with high levels of disorder have significantly lower levels of perceived bus safety. Management and policy implications of the study for both the transit agency and the community in which service is being offered are discussed.
The nasopalatine canal and its relationship with the maxillary central incisors: a cone-beam computed tomography study

Objective: To evaluate the dimensions of the nasopalatine canal (NPC) and its relationship with the maxillary central incisors (MCI) using cone-beam computed tomography (CBCT) and to determine variations in the NPC in relation to age and gender. Methods: CBCT scans from 333 patients (67% female; 35.9 ± 14.6 years) were included. The CBCT scan was analyzed to determine the length and diameter of the NPC, the distance between the NPC and the MCI, and to evaluate the morphology of the NPC. The data were analyzed using the independent Student's t-test, the Mann–Whitney and Kruskal–Wallis tests, and Dunn's post-test (p < 0.05). Results: The average diameter and length of the NPC were 2.92 ± 0.91 mm and 12.67 ± 3.32 mm, respectively. The minimum and maximum distance between the MCI and the NPC were 0.78 ± 0.42 mm and 2.56 ± 1.38 mm, respectively. The NPC of male patients was greater in length compared with the female patients (p < 0.05). The majority presented a funnel-like morphology (34.1%), followed by a cylindrical morphology (27.5%). Conclusions: There was variability in the dimensions of the NPC and its relationship with the MCI, which was influenced by gender and age.
Using marking criteria to improve learning: an evaluation of student perceptions

This paper is an exploratory study on the use of Marking Criteria in the offshore campus of an Australian University in the Middle East. The purpose of the study is to analyse student attitudes to the use of Marking Criteria with a view to maximizing its use. Most educators agree that assessment plays a key role in education and the use of Marking Criteria helps to streamline assessment. The study notes that most students were aware of the benefits of reviewing criteria before they worked on an assessment but few actually used it. The paper offers ways to help students internalise criteria to make learning effective. It also proposes the use of Marking Criteria as a tool that aids teachers in giving feedback in large classes.
ACETYLCHOLINESTERASE, AS A POTENTIAL BIOMARKER OF NAPHTHALENE TOXICITY IN DIFFERENT TISSUES OF FRESHWATER TELEOST, ANABAS TESTUDINEUS

Naphthalene, a Polycyclic Aromatic Hydrocarbon is widely used as a fumigant and disinfectant despite its toxic effect and is ranked as the ninth most threatening compound. The present study was carried out to determine the in vivo effect of naphthalene at different concentrations on acetylcholinesterase (AChE) enzyme activity in different tissues of Anabas testudineus. The fishes were exposed to varying concentrations of naphthalene (4.2 mgL–1, 4.4 mgL–1, 4.6 mgL–1, 4.8 mgL–1 and 5 mgL–1) for a period of 72 hours. Acetylcholinesterase enzyme activity was found to be significantly inhibited, in a dose-response manner. The inhibition percentage of AChE activity varied from 9.34–43.95% in brain tissue, 2.56–35.81% in liver tissue, 5.94–34.15% in muscle tissue and 3.92–33.75% in gills in comparison to the tissues of the control group. Maximum inhibition of acetylcholinesterase enzyme activity in treated fish was observed in the brain followed by liver, muscles, and gills. This study highlights the significance and role of acetylcholinesterase as a potential stress biomarker of naphthalene toxicity.
Characterizing response quantity on academic social Q&A sites: a multidiscipline comparison of linguistic characteristics of questions

PurposeAs academic social Q&A networking websites become more popular, scholars are increasingly using them to meet their information needs by asking academic questions. However, compared with other types of social media, scholars are less active on these sites, resulting in a lower response quantity for some questions. This paper explores the factors that help explain how to ask questions that generate more responses and examines the impact of different disciplines on response quantity.Design/methodology/approachThe study examines 1,968 questions in five disciplines on the academic social Q&A platform ResearchGate Q&A and explores how the linguistic characteristics of these questions affect the number of responses. It uses a range of methods to statistically analyze the relationship between these linguistic characteristics and the number of responses, and conducts comparisons between disciplines.FindingsThe findings indicate that some linguistic characteristics, such as sadness, positive emotion and second-person pronouns, have a positive effect on response quantity; conversely, a high level of function words and first-person pronouns has a negative effect. However, the impacts of these linguistic characteristics vary across disciplines.Originality/valueThis study provides support for academic social Q&A platforms to assist scholars in asking richer questions that are likely to generate more answers across disciplines, thereby promoting improved academic communication among scholars.
Low power consumption detectors for mmWave massive MU-MIMO-GFDM systems

ABSTRACT The International Mobile Telecommunications-2020 (IMT-2020) specifies the data rates for enhanced mobile broadband (eMBB) is approximately 10 Gb/s. Millimetre-wave (mmWave) has a vast spectrum and can be used with only slight authorisation, making it an ideal solution for eMBB. This paper proposes optimal detectors with low cost, low power consumption, and low complexity for mmWave massive multi-user multiple-input multiple-output (MU-MIMO) communication. The mmWave broadband communication faces many challenges in system implementation. One of the challenges of mmWave broadband systems is using the analog-to-digital converter (ADC) in the receiver. The ADC power consumption will significantly increase with the frequency bandwidth. The ADC power consumption will also considerably increase with the bit number used in the conversion simultaneously. The mmWave broadband communication also challenges the cost of transmitters, especially wideband linear amplifiers are costly. Hence, it is necessary to transmit a signal with a low peak-to-average power ratio (PAPR) to relax the linearity of the power amplifier. The radio-frequency (RF) port connects to two high-precision ADCs in conventional MIMO systems. Scaling such architectures to massive multiple-input multiple-output (MIMO) with hundreds or thousands of active antenna elements would lead to excessive-high power consumption and hardware costs. Hence, this paper proposes optimal detections for massive multi-user (MU) MIMO-GFDM communications with coarse quantisation. It achieves substantial cost and power savings and provides a high system capacity. The optimal detections for coarse quantisation in large-scale MU-MIMO-GFDM systems have minimal capability loss compared with the ideal case. There is no additional base-band processing complexity. The simulation results show that the SNR gap between the second mismatched quantiser and the precise quantiser is small. When the ratio of receiving and transmitting antennas is the same, the larger the number of antennas, the smaller the SNR difference between the second mismatch quantiser and the precise quantiser.