Miracle-dz/UniFAR-FTUs huggingface dataset:
Children and university architecture students working together: a pedagogical model of children's participation in architectural design

Increasing efforts have been made to engage children in the design of the built environment, and several participatory models have been developed. The aim of this paper is to propose a pedagogical model for children's genuine participation in architectural design, developed in an architectural education context. According to this pedagogical model, children (primary school students) and youth (university architecture students) work in teams to develop the architectural design proposals. This model was developed through a joint educational project between Deakin University and Wales Street Primary School (both institutions are based in Victoria, Australia). In the four-week duration of the project, first year architecture students worked with Grade 3 and 4 primary school children to design a school playground. The final product of the project was a 1:20 scale model of a playground, which was installed and presented at the end of the fourth week. The project received positive feedback from all the participants, including children, architecture students, university lecturers, primary school teachers and architects. In addition, it achieved a high level of children's genuine participation. This model can be refined and applied in new situations, and potentially with other primary schools working with Deakin University.
Making America Exceptional Again: Donald Trump's Traditionalist Jeremiad, Civil Religion, and the Politics of Resentment

Abstract Donald Trump's campaign slogan to “Make America Great Again” captivated the imagination of millions of Americans by contextualizing disparate sources of social resentment as emblematic of a broader story of American decline. Employing a “traditionalist civil religious jeremiad,” Trump called for a reassertion of American exceptionalism, and extolled a romanticized golden age predating transformative social changes (e.g., sexuality, gender roles, racial equality). As such, his rhetoric legitimized the defense of white male privilege as a vital component of this restoration. While this use of civil religious themes emboldened those who harbor prejudicial views, it alienated others who interpret such rhetoric as an assault on the soul of the nation. Relying on a unique module within the 2018 Cooperative Congressional Election Study, we demonstrate that adherence to the tenets of American civil religion significantly exacerbated the effects of symbolic racism and modern sexism on support for Trump.
Intermodal and Multimodal Freight Policy, Planning, and Programming at State Departments of Transportation: Review of the Decade Since the Intermodal Surface Transportation Efficiency Act

Intermodal and multimodal freight policy, planning, and programming in state agencies in the decade since passage of the Intermodal Surface Transportation Efficiency Act of 1991 (ISTEA) are summarized, providing a snapshot of state freight activities in the early 21st century and supplementing previous reports. Freight policy, planning, and programming requirements in ISTEA and the Transportation Equity Act for the 21st Century are reviewed. Freight efforts recently completed or under way in state agencies, primarily state transportation agencies, are summarized. The summary focuses on freight studies and plans, freight offices or programs, and selected information obtained from responses to a survey of state transportation agencies. The report may be useful to groups advocating freight agendas, developing freight outreach programs and future research ideas, or preparing recommendations for federal or state legislation.
Assessing the genetic diversity of the metacercariae of Posthodiplostomum minimum (Trematoda: Diplostomidae) in Middle American freshwater fishes: one species or more?

Abstract Abstract Trematode taxonomy is mainly based on the morphological traits of adults. The identification of metacercariae is challenging because such traits are not developed in larval forms, and they even may show some level of morphological variability. Studies testing the potential correspondence between morphological differences and genetic variation of parasites are still lacking. The metacercariae of Posthodiplostomum minimum are probably the diplostomids more widely distributed in North and Middle American freshwater fish, and their intraspecific morphological variability has been attributed to the effect exerted by the host. Here, we tested the hypothesis whether they represent a single species, or a species complex by assessing the genetic divergence and phylogenetic relationships of metacercariae sampled from several host species in a wide geographical range across Middle America. The internal transcribed spacers (ITS1-5.8S-ITS2), and the mitochondrial COI gene were sequenced for 124 and 55 metacercariae, respectively. Phylogenetic analysis inferred from ITS sequences uncovered six well-supported monophyletic lineages. The six lineages show no correspondence to any Posthodiplostomum species for which sequences are available thus far in GenBank. Lineages exhibit some degree of host specificity; Lineages I, II, IV and V are primarily parasites of cyprinodontiforms of the families Poeciliidae, Goodeidae, Profundulidae and Fundulidae. In poeciliids there are at least four candidate species of Posthodiplostomum, some of them occurring in sympatry; instead, Lineages II and VI are exclusively parasites of cichlids. This study contributes to our understanding of the diversity of larval forms of diplostomids and provides an opportunity to further study their life cycles.
Spray Deposition on Citrus Canopies under Different Meteorological Conditions

This article explored the effects on spray deposition of air temperature, relative humidity, wind velocity, wind direction, and leaf surface wetness (a function of temperature and relative humidity) commonly occurring during a 24-h period. The interaction of different spray volumes (470; 1 890; 4 700 L/ha) with the above meteorological parameters was studied. Samples were taken from citrus canopies from six radial locations at each of three heights.
Development of 4D based performance indicators in construction industry

Purpose – Despite its benefits, the uptake of 4D planning in the construction industry is slow and therefore there is a need to demonstrate its value over traditional planning technologies. The aim of this paper is to develop a novel approach that demonstrates the value of 4D tools to the construction industry.Design/methodology/approach – The research strategy utilised draws on several social science research methods. The data collection methods employed included a literature review, an open‐ended questionnaire, surveys, semi‐structured interviews and the analysis of historical site records. The data collected were analysed using qualitative and quantitative techniques in order to identify, develop and quantify 4D‐based key performance indicators.Findings – This paper identifies and quantifies 4D‐based key performance indicators using case study analysis. In the case studies it was found that, on average, a 17 per cent increase in planning efficiency were achieved by the use of 4D technology, while the c.
Design of an ultra low-power CMOS analog-to-digital converter for biomedical applications

The ever increasing healthcare cost has become a burden for modern society. Recently, a lot of research activities have been carried out in search of innovative and low-cost solutions for the healthcare industry. Benefited from advanced submicron CMOS technologies, which allow a high level of integration and reduction of cost, many miniaturized biomedical devices were developed for different applications. The biopotential signals, such as Electroencephalogram (EEG), Electrocardiogram (ECG) and Electromyogram (EMG), were recorded and studied with customized CMOS devices. These low-cost portable CMOS based biomedical devices operating at low supply voltage, which can be battery-powered, will be able to replace the conventional lab-based bulky diagnosis or monitoring systems in the near future. In a typical biomedical acquisition and monitoring system, the biomedical signals, which could be in the form of pressure, PH value, nerve stimulus, or electrical potentials, are usually sensed by single or multi-channel sensors, amplified by a low-pass or bandpass amplifier, digitized by an ADC and then transmitted to the data processing unit. One of the most critical and power consuming components in such system is the ADC. Therefore, minimizing the power consumption is a crucial design target for ADC in biomedical applications. The Successive Approximation Register (SAR) ADC exhibits significant advantages compared to other ADC architectures such as pipelining and Delta-Sigma, in terms of power consumption and area. Two distinct types of SAR ADCs, namely the unit-capacitor array SAR ADC and binary-weighted capacitor SAR ADC, were studied and analyzed in this report. The unit-capacitor array ADC has theoretically the lowest DAC power consumption. However, the digital circuit overhead is large. Two binary-weighted capacitor SAR ADCs were designed and implemented. A novel tri-level switching algorithm that xv allows 97% Digital-to-Analog Converter (DAC) power reduction and 75% area savings is also proposed. Customized digital logic circuit offers variable sampling rates for different applications and also further reduce ADC power up to 50%.
Analysis of the Impact of Land-Use/Land-Cover Change on Land-Surface Temperature in the Villages within the Luki Biosphere Reserve

Major land-use/land-cover change due to rapid urbanization has been known to increase the land-surface temperature around the world. Consequently, examining the variation of land-surface temperatures and mitigating the related impacts remain a challenge. The present study employed remote-sensing and geoinformational techniques to examine land-use/land-cover change and its effects on land-surface temperature variations in the villages within the Luki Biosphere Reserve, Democratic Republic of Congo. Land-use/land-cover change for the year 2038 was predicted by using the CA–Markov chain. Additionally, focus-group discussions (FGDs) with local communities from different villages were applied to better understand the impact of climate change, considering the increase of land-surface temperature. The results revealed major changes in land-use/land-cover in the four villages from 2002 to 2020, principally the expansion of fallow land and built-up areas, as well as the decline in forest land, and the complex of young secondary and degraded forest. There was an increase in mean LST values over all villages between 2002 and 2020. The highest value was observed in Tsumba kituti (25.12 °C), followed by Kisavu (24.87 °C), Kibuya (23.31 °C) and Kiobo (21.82 °C). Between 2002 and 2020, the mean LST of built-up areas increased from 23.18 to 25.12 °C, 21.55 to 23.38 °C, 21.4 to 25.78 °C and 22.31 to 25.62 °C in Tsumba kituti, Kiobo, Kisavu and Kibuya, respectively. Moreover, the mean LST of fallow land increased from 20.8 to 23.2 °C, 21.13 to 22.12 °C, 21.89 to 23.12 °C and 20.31 to 23.47 °C in Tsumba, Kiobo, Kibuya and Kisavu, respectively. This indicates that built-up and fallow land experienced the highest land-surface temperature compared to other land-use/land-cover categories. Meanwhile, the conversion of all land-use/land-cover categories into built-up areas in all the villages resulted in the increase of the land-surface temperature. FGDs results recognize the recurrent land-use/land-cover change as the major driver of the increase in LST (86%). However, it was predicted that farmland and built-up area will still increase within all the villages, while the forest land will decline. As for the complex of secondary and degraded forest, it will decrease in Tsumba kituti, while, in Kiobo and Kisavu, it is expected to increase. Through a combination of remote-sensing and primary data, this study provides accurate information that will benefit decision-makers to implement appropriate landscape-planning techniques to mitigate the effect of the increased land-surface temperature in the villages.
Scattering Transform for Classification in Non-Intrusive Load Monitoring

Nonintrusive Load Monitoring (NILM) uses computational methods to disaggregate and classify electrical appliances signals. The classification is usually based on the power signatures of the appliances obtained by a feature extractor. State-of-the-art results were obtained extracting NILM features with convolutional neural networks (CNN). However, it depends on the training process with large datasets or data augmentation strategies. In this paper, we propose a feature extraction strategy for NILM using the Scattering Transform (ST). The ST is a convolutional network analogous to CNN. Nevertheless, it does not need a training process in the feature extraction stage, and the filter coefficients are analytically determined (not empirically, like CNN). We perform tests with the proposed method on different publicly available datasets and compare the results with state-of-the-art deep learning-based and traditional approaches (including wavelet transform and V-I representations). The results show that ST classification accuracy is more robust in terms of waveform parameters, such as signal length, sampling frequency, and event location. Besides, ST overcame the state-of-the-art techniques for single and aggregated loads (accuracies above 99% for all evaluated datasets), in different training scenarios with single and aggregated loads, indicating its feasibility in practical NILM scenarios.
AP/VP specific inelastic displacement ratio for seismic response estimation of structures

In this study, two new site specific statistical equations are proposed to estimate the inelastic displacement ratio, C1 of structures subjected to far fault (FF) and near fault (NF) ground motions. The proposed equations consider the effects of fundamental vibration period of the structure, T, lateral strength ratio, R and frequency content of the design earthquake record represented by the Ap/Vp ratio (or T0 = 2π/Ap/Vp), which is a function of the earthquake magnitude, distance to fault, faulting mechanism and site class. It was observed that the C1 values obtained from the proposed equations are in good agreement with the calculated results. The flare of the plotted C1 vs. T/T0 curves enables the proposed equations to cover nearly all the calculated C1 data range and give satisfactory results. However, the curves obtained using the C1 equations of several codes and those available in the literature do not cover the whole calculated C1 data range and generally give unconservative results (smaller C1 values) especially in the shorter period range. For the longer period range, the predictions of C1 obtained from the proposed equation and the ones available in the literature are in good agreement with the calculated C1 data. Copyright © 2014 John Wiley & Sons, Ltd.
Carga de enfermedad por lesiones de causas externas en Bucaramanga, Colombia 2017

Introducción: las lesiones por causa externa son uno de los principales problemas de salud pública en el mundo, y la metodología estandarizada de carga de enfermedad a través de los años de vida saludable perdidos (AVISAS) permite conocer el estado de salud poblacional y priorizar acciones. Objetivo: determinar la carga de enfermedad en términos de discapacidad y muerte como consecuencia de lesiones por causas externas en Bucaramanga, 2017. Diseño metodológico: estudio descriptivo de carga de la enfermedad. Se estimó los AVISAS producidos por LCE utilizando las bases de datos del Departamento Administrativo Nacional de Estadísticas, Sistema de Nacional de Vigilancia en Salud Pública y Registro Individual de la Prestación de Servicios de Salud, del año 2017, de la ciudad de Bucaramanga. Resultados: se estimó una carga global de enfermedad por LCE de 12,04 AVISAS por cada 1000 personas; 0,51 AVISAS atribuibles a discapacidad y 11,53 AVISAS, a mortalidad. Las agresiones y accidentes de tránsito (AT) son las dos principales LCE con mayor número de AVISAS. En la población de 5-59 años las agresiones y AT presentan AVISAS por mortalidad de mayor peso; los AT son la principal causa externa en la población de 60 a 79 años y la segunda en mayores de 80 años. Conclusiones: considerando que los AT fueron la causa externa con las más altas AVISAS atribuidas a mortalidad prematura, se recomienda implementar o intensificar estrategias de alto impacto que contribuyan a disminuir los AT.
T-Cell Large Granular Lymphocytic Leukemia with Atypical Immunophenotypes: A Single Center Retrospective Analysis of 17 Cases

Purpose T-cell large granular lymphocytic leukemia (T-LGLL) is characterized by expansion of cytotoxic T cells expressing αβ T cell receptor (TCR), CD2, surface CD3, CD8, CD57 as well as cytotoxic molecules. Atypical immunophenotypes of T-LGLL, including γδ TCR and CD4, reported in a small subset, remains to be well-defined. Methods We retrospectively analyzed immunophotypes and clinicopathologic features of 96 T-LGLL cases. Results We found a total of 17 cases with atypical immunophenotypes including 9 TCRγδ + cases and 8 CD4+ TCRαβ + cases. Pure red cell aplasia was less common in atypical immunophenotypes patients compared to that of typical immunophenotypes [0/17 (0%) vs. 26/79 (32.9%), p=0.005]. STAT3 mutations were also less frequent in atypical immunophenotypes cases, although accompanied with marginal significance (p=0.086). Conclusion Patients with atypical immunophenotypes showed a similar survival outcome to that of typical T-LGLL immunophenotypes. Additional efforts were needed to better understand the pathogenesis of these rare atypical immunophenotypes T-LGLL cases.
The service-profit chain: A review and extension

This paper presents a review and suggests an extension of studies on the service-profit chain (S-PC), focusing on the paradoxical relationships among the key S-PC constructs of employee satisfaction, customer loyalty, and profitability. Our review is broad in that it encompasses prior studies in multi-disciplines. We found that many research issues on the S-PC, such as research design, moderating factors, and linearity of the causal relationships had not been addressed in the extant literature. We propose a research model grounded in social exchange theory and the resource-based view of the firm to examine the propositions of the S-PC. The aims of the proposed model are to investigate the causal ordering of the underlying constructs, examine the moderating effects on their linkages, and explore the characteristics of their relationships. This paper contributes to the literature of operations management (OM) and service management by providing important insights and research directions for the S-PC.
Understanding individual differences: factors affecting secure computer behaviour

ABSTRACT Understanding users' individual differences may provide clues to help identify computer users who are prone to act insecurely. We examine factors that impact home users' reported computer security behaviour. We conducted two online surveys with a total of 650 participants to investigate the relationship between self-reported security behaviour and users' knowledge, motivation, confidence, risk propensity and sex-typed characteristics. We found that all of these factors impacted security behaviour, with knowledge as the most important predictor. We further show that a user's affinity to feminine or masculine characteristics is a better determinant of security behaviour than using binary male/female descriptors. Our study enabled us to confirm earlier results in the literature in a non-organisational setting, and to extend the literature by studying additional factors and by comparing the relative importance of each factor as a predictor of security behaviour.
SUSTAINABLE HEAT MINING. A RESERVOIR ENGINEERING APPROACH.

Given that geothermal sources cannot be regarded as renewable, but exhaustible instead, heat mining prevails in any exploitation undertaking whatsoever. Optimum heat recovery, pressure maintenance and waste disposal concerns make (re)injection of the heat depleted brine into, preferably, the source reservoir a major engineering and environmental concern.
High resolution aerosol concentration data from the Greenland NorthGRIP and NEEM deep ice cores

Abstract. Records of chemical impurities from ice cores enable us to reconstruct the past deposition of aerosols onto the polar ice sheets and alpine glaciers. Through that, they allow us to gain insight into changes of the source, transport and deposition processes that ultimately determine the deposition flux at the coreing location. However, the low concentrations of the aerosol species in the ice and the resulting high risk of contamination poses a formidable analytical challenge, especially if long, continuous and highly resolved records are needed. Continuous Flow Analysis, CFA, the continuous melting, decontamination and analysis of ice-core samples has mostly overcome this issue and has quickly become the de-facto standard to obtain high-resolution aerosol records from ice cores after its inception at the University of Bern in the mid 90s. Here we present continuous records of calcium (Ca2+), sodium (Na+), ammonium (NH4+), nitrate (NO3−1) and electrolytic conductivity at 1 mm depth resolution from the NGRIP (North Greenland Ice Core Project) and NEEM (North Greenland Eemian Ice Drilling) ice cores produced by the Bern Continuous Flow Analysis group in the years 2000 to 2011. Both of the records have previously been used in a number of studies but have never been published in the full 1 mm resolution. Alongside the 1 mm datasets we provide decadal averages, a detailed description of the methods, relevant references, an assessment of the quality of the data and its usable resolution. Along the way we will also give some historical context on the development of the Bern CFA system.
Improving students’ academic performance and reducing conflicts through family involvement in primary school learning activities: a Mexican case study

ABSTRACT Research shows that family involvement in learning activities at school improves students’ academic performance and social cohesion. This study analyses the impact of involving families through interactive groups, dialogic literary gatherings and tutored library in a Mexican primary school in a highly underprivileged urban area, within the framework of the Schools as Learning Communities (SaLeaCom), project in Latin America. Using communicative methodology, data were collected through interviews (school principal and members of the non-profit Vía Educación which manages the project locally), focus groups (mothers, teachers and students), observations in classes, internal school reports and the comparative results of the national 2015 and 2018 standardised tests. Results show a drastic improvement in academic performance, surpassing the national average in mathematics and language by 15% and 5% respectively, and reducing conflicts in 61%. This provides evidence of how academic success and social cohesion are possible in a Mexican school like the one studied.