Miracle-dz/UniFAR-FTUs huggingface dataset:
Forested Riparian Buffers as Climate Adaptation Tools for Management of Riverine Flow and Thermal Regimes: A Case Study in the Meramec River Basin

Ongoing and projected changes in climate are expected to alter discharge and water temperature in riverine systems, thus resulting in degraded habitat. Climate adaptation management strategies are proposed to serve as buffers to changes in air temperature and precipitation, with these strategies potentially providing relatively stable protection for flow and thermal regimes. Using a hydrologic and water temperature modeling approach in the Meramec River basin in eastern Missouri, U.S.A. , we examined the ability of forested riparian buffers to serve as a useful climate adaptation strategy against ongoing and projected changes in climate. We developed a multi-scale approach using Soil and Water Assessment Tool (SWAT) hydrologic and water temperature models as well as a Stream Network Temperature Model (SNTEMP) with different amounts of simulated riparian vegetation to estimate streamflow and water temperature variation within the Meramec River basin under both contemporary and projected future climate conditions. Our results suggest that riparian buffers offer benefits to mitigating increases in water temperature due to shading effects; however, patterns in discharge did not vary substantially based on simulations. From an ecological perspective, the addition of riparian buffers is also projected to reduce the impacts of climate change on Smallmouth Bass (Micropterus dolomieu) by decreasing the number of days water temperatures exceed the thermal tolerance of this species.
The intergenerational transmission of family violence: Mothers' perceptions of children's experiences and use of violence in the home

Intimate partner violence (IPV) on average affects one in four women, with the majority of victim survivors identifying as mothers in national survey data. Children experiencing parental IPV are now equally understood as victims. Extensive research documents the short- and long-term impacts of children's experiences of IPV on their safety and wellbeing. More recently, research has started to examine adolescent children's use of violence in the home as adolescent family violence (AFV). Contributing to this emerging body of research, we draw on narrative interview data from mothers who participated in a larger study on IPV, help-seeking and the perceived impact on children to better understand how mothers make sense of children's use of violence in the home. Mothers identified an emergence of AFV in male children with childhood experiences of adult IPV. Although mothers' experiences of adult and adolescent violence highlight their dual victimisation, mothers frame their abusive children as victims rather than perpetrators. Implications for future research, policy and trauma-informed practice are discussed.
Landsat8 Satellite Image Classification with ERDAS for Mapping the Kalambatritra Special Reserve

This paper focuses on the Landsat 8 satellite image classification of the OLI sensor via the remote sensing software Erdas Imagine in order to calculate the land cover surface and to establish the mapping of the special reserve Kalambatritra of Madagascar for the year 2018. For this, we adopted the methodology of satellite image processing based on supervised classification algorithms. The processing was moved to spectral preparation and improvement of spatial resolution using the blue, green, red, near infrared and panchromatic channels. Then, a comparison study of the supervised classification algorithms was done to obtain a more accurate result. The validation of the classification results was performed using several reference points, a previous national processing result already validated in the field and the Google earth image of the same year. After repeating the classification several times, we obtained accuracies of 77%, 75%, 88%, 84% and 90% with Kappa indices of 0.64, 0.61, 0.80, 0.76 and 0.84 for the Spectral Angle Mapper, Spectral Correlation Mapper, Maximum Likelihood, Mahalanobis Distance and Minimum Distance. Based on these results, the minimum distance showed a higher accuracy and gave us 13462.1842 ha of forest area, 16798.8006 ha of prairie for the year 2018.
Evaluation of changes in gastrointestinal motility caused by altered thyroid function in conscious dogs

This study was conducted to clarify the relationship between thyroid function and gastrointestinal motility. We established an experimental configuration in which the feedback of thyroid function was completely removed using conscious dogs. With hypothyroidism, time of phase Ⅰ of interdigestive migrating contractions (IMC) was longer, time of phase Ⅱ and phase Ⅲ was significantly shortened, and both the continuous time of strong tetanic contraction at antrum and 10-hours frequency of phase Ⅲ counted from the first IMC after meal significantly decreased. Whereas, hyperthyroidism caused the opposite events to those with hypothyroidism. Furthermore, We found giant migrating contractions (GMC) occurred from the upper gastrointestinal tract when we administrated high dose of thyroid hormone. One GMC occurred from anal sides propagated to cardiac, and this propagation was similar to the emesis-like interdigestive motor activity, the other GMC occurred from oral sides propagated to anal sides and this was similar to the diarrhea-like interdigestive motor activity. We examined the relationship between thyroid function and gastrointestinal hormones including of ghrelin, GLP-1, and cholecystokinin (CCK). However, we could not find significant differences under different thyroid hormone status. This is the first report that thyroid hormone activated upper gastrointestinal motility without mediating gastrointestinal hormones.
Exploring the Motivations of Suppliers in the Collaborative Economy: A Sustainability Approach

In recent years, the collaborative economy has drawn a lot of academic attention. Most research has focused on the consumer side, whereas the evidence regarding individuals as providers is scarce. Based on the triple-p (planet, people, profit) framework of the sustainability approach, this paper empirically investigates the reasons that lead individuals to offer services in the collaborative economy. Using microdata from representative samples of national populations in the member states of the European Union, Heckman-type probit models have been estimated for the provision of transport and accommodation collaborative services. The results show that the decision to provide is largely shaped by individuals’ sociodemographic features. Social and environmental reasons are found to drive the decision to provide transport services. Meanwhile, economic reasons appear to be the key drivers behind the offering of accommodation services.
Simultaneous Observation of an Auroral Dawn Storm With the Hubble Space Telescope and Juno

On July 13, 2016, the Hubble Space Telescope observed the onset of a dawn storm in Jupiter's northern ultraviolet aurora, while the NASA Juno spacecraft simultaneously traversed the dawnside outer magnetosphere. This represents the first concurrent auroral and in situ magnetospheric observations of the onset of a dawn storm at Jupiter. Mapping the auroral emission to the magnetosphere reveals the dawn storm corresponds to a source region at ∼60 Jupiter radii, and the eastward edge propagates toward local noon at speeds exceeding corotation. Particle observations from Jovian Auroral Distributions Experiment (JADE) and Jupiter Energetic particle Detector Instrument (JEDI) reveal the presence of enhanced hot plasma density in the outer magnetosphere during this interval, and pitch angle distributions measured with JEDI reveal pronounced field‐aligned proton and heavy ion motion. Juno magnetometer (MAG) signatures reveal a reversal in the azimuthal magnetic field at the time of storm onset, suggesting acceleration of the hot plasma population above typical sub‐corotational speeds. JEDI also detects a region of energetic particles which persists throughout the day following the storm, a feature which is not observed during subsequent perijoves. We interpret this dawn storm as the result of reconnection at earlier local times, possibly associated with a disruption of the azimuthal magnetodisk current.
Advanced Molecular Characterization Using Digital Spatial Profiling Technology on Immunooncology Targets in Methylated Compared with Unmethylated IDH-Wildtype Glioblastoma

Introduction Glioblastoma (GBM) is the most common primary adult brain tumour with a median overall survival (OS) of 12–15 months. Molecular characterization of multiple immunooncology targets in GBM may help target novel immunotherapeutic strategies. We used NanoString GeoMx® Digital Spatial Profiling (DSP) to assess multiple immunooncology protein targets in methylated versus unmethylated IDH-wild-type glioblastoma. Methods NanoString GeoMx® DSP technology uses multiple primary antibodies conjugated to indexing DNA oligos with a UV photocleavable linker. Tissue regions of interest (ROIs) are selected with bound fluorescent antibodies; oligos are released via a UV-mediated linker and quantitated. We used DSP multiplex analysis of 31 immunooncology proteins and controls (CD4, CD14, CD68, CD8A, B7-H3, PD-L1, CD19, FOXP3, CD44, STAT3 (phospho Y705), CD45, Pan Cytokeratin, MS4A1/CD20, CD45RO, PD1, CD3, beta-2 microglobulin, VISTA, Bcl2, GZMB, PTEN, beta-catenin, CD56, Ki-67, STAT3, AKT, p-Akt, S6, Histone H3, IgG Rabbit control, and Mouse IgG control) from ROIs in a cohort of 10 IDH-wild-type glioblastomas (5 methylated and 5 unmethylated). An nCounter platform allowed quantitative comparisons of antibodies between ROIs in MGMT methylated and unmethylated tumours. Mean protein expression counts between methylated and unmethylated GBM were compared using technical and biological replicates. Results The analysis showed 10/27 immunooncology target proteins were significantly increased in methylated versus unmethylated IDH-wild-type glioblastoma tumour core (false discovery rate (FDR) <0.1 by Benjamini–Hochberg procedure). Conclusions NanoString GeoMx® DSP was used to analyse multiple immunooncology protein target expression in methylated versus unmethylated IDH-wild-type glioblastoma. In this small study, there was a statistical increase in CD4, CD14, CD68, CD8A, B7-H3, PDL-1, CD19, FOXP3, CD44, and STAT3 protein expression in methylated versus unmethylated GBM tumour core; however, this requires larger cohort validation. Advanced multiplex immunooncological biomarker analysis may be useful in identifying biomarkers for novel immunotherapeutic agents in GBMs.
Traditional knowledge of edible plants in an indigenous community in the Sierra Norte of Oaxaca, Mexico

Abstract In this study, we documented traditional knowledge of edible plants in an indigenous community in the Sierra Norte of Oaxaca, Mexico and analyzed sociodemographic factors (age, education, and linguistic competence) that influence this knowledge. Data were collected through semi-structured interviews with 78 housewives during the dry and rainy seasons. The data were analyzed and the relative frequency of citation index (RFC) was calculated for each plant. The community uses 110 species of plants for food; 85 are cultivated, and 25 are collected. Milpas, coffee plantations, and home gardens, are the main spaces used for growing and harvesting food. The availability of the species is lower in the dry season than in the rainy season. 31% of edible species have medicinal uses. There is a high richness of quelites (36 sp. pl.). The wild species with the highest RFC were Cestrum nocturnum and Calceolaria mexicana. The age showed a positive relationship with traditional knowledge, while the level of education showed a negative relationship, and linguistic competence did not show relationship. The community has a high diversity of edible species, and the knowledge they preserve is essential for the conservation, use, and management of local plant diversity.
Association of Lung CT Findings in Coronavirus Disease 2019 (COVID-19) With Patients' Age, Body Weight, Vital Signs, and Medical Regimen

Objective This study aimed to detect possible associations between lung computed tomography (CT) findings in COVID-19 and patients' age, body weight, vital signs, and medical regimen in Jordan. Methods The present cross-sectional study enrolled 230 patients who tested positive for COVID-19 in Prince Hamza Hospital in Jordan. Demographic data, as well as major lung CT scan findings, were obtained from the hospital records of the COVID-19 patients. Results The main observed major lung changes among the enrolled COVID-19 patients included ground-glass opacification in 47 (20.4%) patients and consolidation in 22 (9.6%) patients. A higher percentage of patients with major lung changes (24%) was observed among patients above 60 years old, while (50%) of patients with no changes in their lung findings were in the age group of 18–29 years old. Results obtained from the present study showed that only patients with major CT lung changes (9.7%) were prescribed more than three antibiotics. Additionally, 41.6 % of patients with major lung CT scan changes had either dry (31.0%) or productive (10.6%) cough at admission. Conclusion Several factors have been identified by this study for their ability to predict lung changes. Early assessment of these predictors could help provide a prompt intervention that may enhance health outcomes and reduce the risk for further lung changes.
The character of residential cooktop fires

A series of experiments was conducted to investigate the global preignition and combustion characteristics of corn oil heated in 9.7 to 26 cm diameter pans by a residential electric-coil element cooktop. For comparison, torch-ignited gasoline, heptane, and corn oil experiments were conducted in the same configuration except without the heating element energized. Heating oil on a typical electric cooktop leads to vaporization and generation of an aerosol cloud followed by autoignition. The evolution of the light-extinction coefficient before autoignition is measured and shown to be related to the pan diameter and initial fuel mass. Continued heating leads to enhanced vaporization of the burning oil and growing fires with the peak heat release rate, radiative heat flux, radiative fraction, and peak flame height larger than the gasoline fires regardless of pan diameter. CO and soot yields, and the CO/CO2 ratio are measured to decrease with pan diameter.
Metalurgia & Materiais Modelagem da formação não isotérmica da austenita em um aço de baixo carbono

The austenite formation under isochronal conditions in Nb micro-alloyed low carbon steel was studied using the Johnson-Mehl-Avrami-Kolmogorov (JMAK) model, for different heating rates and by means of dilatometric curves. The functional relationship between the apparent activation energy and heating rate was used in addition to this model. It was shown that this functional relationship is logarithmic and that the apparent activation energy decreases from 152.5 to 118.1 kJ/mol when the heating rate increases from 0.1 to 16 K/s, with the n exponent of the JMAK equation equal to 1.0.
High power density near‐neutral pH aqueous redox flow batteries using zinc chloride and 4,5‐dihydroxy‐1,3‐benzenedisulfonate as redox couple with polyethylene glycol additive

Redox flow batteries (RFBs) using zinc chloride (ZnCl2) and 4,5‐dihydroxy‐1,3‐benzenedisulfonate (Tiron) redox couple is introduced. ZnCl2 and Tiron are used as negative and positive active materials, which are dissolved in near‐neutral pH, ammonium chloride (NH4Cl) supporting electrolyte. Cell voltage of RFB using ZnCl2 and Tiron is extremely high as 1.8 V, while two cellulose spacers are introduced to prevent the growth of zinc dendrite on the membrane. When the performances of RFBs using ZnCl2 and Tiron are measured, their charge efficiency (CE), voltage efficiency (VE), and energy efficiency (EE) are 95, 79, and 75% at 40 mA cm−2, whereas their capacity fading rate is high as 0.12 Ah L−1 per cycle. This is due to the zinc dendrite formed on the electrode of RFB that is attributed to the aggregation of zinc ions. To suppress the aggregation and to preserve active sites for the redox reaction of zinc ions during cycling, the polyethylene glycol (PEG) additive is suggested. Regarding the optimization of PEG, 5000 ppm PEG induces both high efficiencies (97, 81, and 79% of CE, VE, and EE at 40 mA cm−2) and low capacity loss rate (0.03 Ah L−1 per cycle), which are more enhanced performances than those of RFBs operated without PEG. In terms of power density of RFB using ZnCl2 and Tiron, high power density of 144 mW cm−2 is achieved under 120 mA cm−2, which is far better performance than that of other RFBs operated under near‐neutral pH electrolyte.
Examining the determinants and consequences of financial constraints faced by Micro, Small and Medium Enterprises' owners

PurposeThe Micro, Small and Medium Enterprises (MSMEs) counter numerous financial obstacles concerning business financing and cash flow management. The study, therefore, intends to examine the level of perceived severity of financial constraints on the business growth of enterprises, in terms of sales, profitability and asset growth. An attempt is made to study the influence of owner and firm attributes as the determinants of financial constraints faced by MSMEs.Design/methodology/approachThe data were collected from MSME owners of Northern India through a self-administered questionnaire. In total, 213 responses were analysed using partial least squares-structural equation modelling (PLS-SEM) technique through SmartPLSv2.FindingsThe findings advocate the role of owner and firm attributes in the severity of financial constraints experienced by the MSME owners. Most importantly, the study establishes a strong link between owner and firm attributes and cash flow constraints. Further, the paper confirms the negative influence of financing and cash flow problems on the growth of the firm.Research limitations/implicationsThe evaluation and categorisation of perceived financial challenges into meaningful dimensions generate value to the problematic area of MSME operations. Thus, the findings are useful for the policymakers and researchers to contemplate the financial vulnerability of MSMEs.Originality/valueThe empirical findings of the present study add worth to the limited evidence of the relationship between owner and firm attributes and severity of cash flow constraints faced by the Indian MSME owners.
Isotopic niche provides an insight into the ecology of a symbiont during its geographic expansion

Abstract The study of the recent colonization of a symbiont and its interaction with host communities in new locations is an opportunity to understand how they interact. The use of isotopic ratios in trophic ecology can provide measurements of a species’ isotopic niche, as well as knowledge about how the isotopic niches between symbiont and host species overlap. Stable isotope measurements were used to assess the sources of carbon assimilated by the host species (the bivalves Mytilus galloprovincialis and Scrobicularia plana) and their associated symbiont pea crab Afropinnotheres monodi, which occurs within these bivalves’ mantle cavities. The mixing model estimates suggest that all of them assimilate carbon from similar sources, particularly from pseudofaeces and particulate organic matter in this symbiotic system based on filter feeding. The symbiotic species occupy comparable trophic levels and its association seems to be commensal or parasitic depending on the duration of such association. The pea crab A. monodi reflects a sex-specific diet, where males are more generalist than the soft females because the latter’s habitat is restricted to the host bivalve. The high isotopic overlap between soft females and M. galloprovincialis may reflect a good commensal relationship with the host.
A Resilient and Hierarchical IoT-Based Solution for Stress Monitoring in Everyday Settings

The conventional mental healthcare regime often follows a symptom-focused and episodic approach in a noncontinuous manner, wherein the individual discretely records their biomarker levels or vital signs for a short period prior to a subsequent doctor’s visit. Recognizing that each individual is unique and requires continuous stress monitoring and personally tailored treatment, we propose a holistic hybrid edge–cloud Wearable Internet of Things (WIoT)-based online stress monitoring solution to address the above needs. To eliminate the latency associated with cloud access, appropriate edge models—spiking neural network (SNN), Conditionally Parameterized Convolutions (CondConv), and support vector machine (SVM)—are trained, enabling low-energy real-time stress assessment near the subjects on the spot. This work leverages design-space exploration for the purpose of optimizing the performance and energy efficiency of machine learning inference at the edge. The cloud exploits a novel multimodal matching network model that outperforms six state-of-the-art stress recognition algorithms by 2%–7% in terms of accuracy. An offloading decision process is formulated to strike the right balance between accuracy, latency, and energy. By addressing the interplay of edge–cloud, the proposed hierarchical solution leads to a reduction of 77.89% in response time and 78.56% in energy consumption with only a 7.6% drop in accuracy compared to the Internet of Things (IoT)–Cloud scheme, and it achieves a 5.8% increase in accuracy on average compared to the IoT-Edge scheme.
Sustainability in supply chains: reappraising business process management

Abstract In the context of sustainable supply chain management (SSCM), business processes that enable process integration have been explored in a limited way. This paper offers empirical data in response to this gap by evidencing business processes that create sustainability value in the context of the supply chain—and, the role of a phased approach as an enabler. The data are derived from a case study (of 52 organisations) based on a sustainable cocoa supply chain network and the key business processes across that network. Eight business processes were identified as critical to SSCM—strategic planning, design, governance, integration, collaboration, pre-competitive collaboration, stakeholder management, and performance monitoring and evaluation. We demonstrate how business processes become bespoke sustainability processes in relation to SCM through a phased approach of alignment, implementation and maintenance.
The use of photo elicitation for understanding the complexity of teaching: a methodological contribution

ABSTRACT Educational research results on teachers and teaching are often criticized due to the lack of connection between knowledge production in academic settings and the reality of teachers’ work. One of the main critiques of research is the lack of methodological options to address the complexity of teaching. In fact, research results have often been considered to be decontextualized and far removed from teachers’ every day practices. Based on a study of teacher quality in La Araucanía, this paper is a methodological reflection on the use of Visual Research Methods, particularly photo elicitation, as a method to address the complexity of teaching. Hereby, I explore three contributions from using photo elicitation in research on teachers and teaching: First, the use of pictures provides rich descriptions of teachers’ context of practice. Second, the use of pictures helps to understand better what teachers mean and interpret. Third, it allows researchers and participants to negotiate the interpretations of pictures, by contrasting participants’ views viz-à-viz researchers’ perceptions about the contexts where teachers develop their practice.