Miracle-dz/UniFAR-FTUs huggingface dataset:
Regional high‐T/low‐P metamorphism of the Kemum Basement High, Bird’s Head, West Papua, Indonesia

The northernmost part of the Australian continent is exposed in a basement high in the Bird's Head Peninsula at the NW tip of New Guinea. This basement consists of Silurian–Devonian turbidites that were regionally metamorphosed in the lower greenschist facies. Along its eastern margin, the basement high is intruded by numerous granitoid bodies and records a second, higher‐grade metamorphic overprint. We present the first detailed study of metamorphic rocks from this eastern part of the basement high, supported by field and petrographic observations, bulk rock and mineral chemistry, and phase equilibria modelling. Lower‐grade basement rocks include chlorite‐mica schists, slates, silt‐, and sandstones, which give way to andalusite‐ and cordierite‐bearing pelites and psammites, interspersed with layers of quartzite. The dominating pelitic phase assemblage is biotite+white mica±andalusite±cordierite+plagioclase+quartz+ilmenite; incipient sillimanite (fibrolite) is present in some rocks and replaces andalusite in baked margins around the numerous dykes and sills. Other rock types include metasedimentary migmatites, metacarbonates and calcsilicate concretions, rare metavolcanics, and kyanite‐bearing segregation veins. Metamorphism is of regional extent and often unrelated to granitoid intrusions. Our observations support the previous notion of an increase in peak metamorphic temperature from west to east. Microstructural relations suggest two phases of metamorphism, which are tentatively correlated with two phases of magmatic activity in the Devonian–Carboniferous and the Permian–Triassic. Based on petrographic observations and phase equilibria modelling, we propose that during the Permian–Triassic, metamorphism proceeded under high temperature/low pressure (HT/LP) or Abukuma‐type conditions along a narrow, counter‐clockwise P–T–t path with peak metamorphic conditions of the amphibolite facies (~520–650°C and ~2–4 kbar), potentially in an active continental margin setting. While much less evidence is available, similar metamorphic conditions are proposed for the Devonian–Carboniferous metamorphic event.
Impact of Covid-19 Disease and National Lockdown on Outcomes of Emergency Surgery. Results From A Retrospective Comparative Cohort Study In A Tertiary Referral Teaching Hospital

BACKGROUND: The aim of this retrospective comparative study was to assess the impact of the COVID-19 related disease on emergency surgery, comparing clinical main outcomes in the period March –May 2019 (Group 1) with the same period in Covid-19 Italian lockdown (March-May 2020, Group 2). METHODS: A comparison (Group 1 versus 2) was performed between the demographic, anamnestic, surgical, clinical and management features.RESULTS: 246 patients were included, 137 in Group 1 and 109 in Group 2 (p=0.03). No significant differences in peri-operative characteristics were registered. A declared delay in access to hospital and SARS-CoV-2 preoperatively infection rates were 15.5% and 5.8% respectively in Group 2. The overall morbidity (OR=2.22, 95%CI=1.08-4.55, p=0.03) and 30-day mortality (OR=1.34, 95%CI=0.33-5.50, =0.68) increased significantly in Group 2. Delayed access cohort demonstrated a close correlation with increased morbidity (OR=3.19, 95%CI=0.89-11.44, p=0.07), blood transfusion (OR=5.13, 95%CI=1.05-25.15, p=0.04) and a 30-day mortality risk (OR=8.00, 95%CI=1.01-63.23, p=0.05). Positive SARS-CoV-2 patients had higher risk of blood transfusion (20% vs 7.8%, p= 0.37), ICU admissions (20% vs 2.6%, p= 0.17) and median LOS (9 days vs 4 days, p= 0.11). CONCLUSIONS: This article provides enhanced understanding of the effects of the COVID-19 pandemic on patients access to emergency surgical care. Our findings suggest that COVID-19 changed the quality of surgical care with poorer prognosis and higher morbidity rates. A delayed Emergency Department access and a “filter effect” induced by a COVID-fear in the population resulted in only the most severe cases reaching the Emergency Department in time.
Desistance: A Utopian Perspective

: The written diaries of 43 adult male respondents from a prison sample that had participated in a restorative justice intervention reveal a nuanced and dynamic process of desistance via their hopes and pains of anticipated desistance at the micro, meso and macro levels. A utopian reading of the respondents’ hopes and pains of desistance is developed which reveals that their diaries express a utopian vision that is not just personal, but also inherently political, radical, collective and transformative. Their pains of desistance on the other hand, reveal a critique and condemnation of the current societal and structural apparatus. The necessity for radical and collective change is clear, if desisters and society are to reach their full potential.
Let me listen to where you are. Spatial dimension resources in audio stories can increase imagery, transportation, attention, and recall

ABSTRACT This study analyzes the influence of the audio spatial dimension on the listener’s cognitive processing. Participants listened to different audio stories with four sound verbal and nonverbal resources (dialogue; dialogue and sound effects; dialogue and sound filters; dialogue and sound shots) representing the space and perspective of the scene. They rated the stories concerning imagery, transportation, attention, and performed a cued recall test. The results showed that the audio stories with nonverbal sound resources achieved higher imagery and transportation levels than stories with verbal information. The stories with nonverbal resources, except sound effects, obtained the highest levels of attention and recall. These results reveal the crucial role of the spatial dimension in audio processing.
Nonlinear All-Optical Diffractive Deep Neural Network with 10.6 μm Wavelength for Image Classification

A photonic artificial intelligence chip is based on an optical neural network (ONN), low power consumption, low delay, and strong antiinterference ability. The all-optical diffractive deep neural network has recently demonstrated its inference capabilities on the image classification task. However, the size of the physical model does not have miniaturization and integration, and the optical nonlinearity is not incorporated into the diffraction neural network. By introducing the nonlinear characteristics of the network, complex tasks can be completed with high accuracy. In this study, a nonlinear all-optical diffraction deep neural network (N-D2NN) model based on 10.6 μm wavelength is constructed by combining the ONN and complex-valued neural networks with the nonlinear activation function introduced into the structure. To be specific, the improved activation function of the rectified linear unit (ReLU), i.e., Leaky-ReLU, parametric ReLU (PReLU), and randomized ReLU (RReLU), is selected as the activation function of the N-D2NN model. Through numerical simulation, it is proved that the N-D2NN model based on 10.6 μm wavelength has excellent representation ability, which enables them to perform classification learning tasks of the MNIST handwritten digital dataset and Fashion-MNIST dataset well, respectively. The results show that the N-D2NN model with the RReLU activation function has the highest classification accuracy of 97.86% and 89.28%, respectively. These results provide a theoretical basis for the preparation of miniaturized and integrated N-D2NN model photonic artificial intelligence chips.
Post-Harvest Management Practices Impact on Light Penetration and Kernza Intermediate Wheatgrass Yield Components

Kernza intermediate wheatgrass (Thinopyrum intermedium) is the first commercially developed perennial grain crop in North America, with multiple environmental and economic benefits. One of the major challenges for adoption of this dual-use forage and grain crop is the decline in grain yield in subsequent harvest years. Post-harvest management practices (e.g., chopping, burning, chemical, and mechanical thinning) could reduce the intraspecific competition for light and maintain Kernza grain yields over time. We aimed to identify management practices that improve light penetration and propose a conceptual model to explain the mechanisms contributing to Kernza grain yield. We applied 10 management practices after the first Kernza grain harvest in a randomized complete block design experiment with three replications, at two different locations in Wisconsin, USA. Light penetration increased when post-harvest management practices were applied. Mechanical or chemical thinning had relatively lower lodging and increased yield components per row, but not per area due to a reduction in the number of productive rows. Threshed grain yield per area in the second year of Kernza was similar among the treatments despite the differences in vegetative biomass generated. Further research is needed to optimize management practices to maintain Kernza grain yield over time.
Impacts of Traverse Speed and Material Thickness on Abrasive Waterjet Contour Cutting of Austenitic Stainless Steel AISI 304L

Abrasive water jet machining is a proficient alternative for cutting difficult-to-machine materials with complex geometries, such as austenitic stainless steel 304L (AISI304L). However, due to differences in machining responses for varied material conditions, the abrasive waterjet machining experiences challenges including kerf geometric inaccuracy and low material removal rate. In this study, an abrasive waterjet machining is employed to perform contour cutting of different profiles to investigate the impacts of traverse speed and material thickness in achieving lower kerf taper angle and higher material removal rate. Based on experimental investigation, a trend of decreasing the level of traverse speed and material thickness that results in minimum kerf taper angle values of 0.825° for machining curvature profile and 0.916° for line profiles has been observed. In addition, higher traverse speed and material thickness achieved higher material removal rate in cutting different curvature radii and lengths in line profiles with obtained values of 769.50 mm3/min and 751.5 mm3/min, accordingly. The analysis of variance revealed that material thickness had a significant impact on kerf taper angle and material removal rate, contributing within the range of 69–91% and 62–69%, respectively. In contrast, traverse speed was the least factor measuring within the range of 5–18% for kerf taper angle and 27–36% for material removal rate.
Antibacterial activity of taro (Colocasia esculenta L.) leaves extracts against Staphylococcus aureus and Vibrio parahaemolyticus and its effect on microbial population in sardine (Sardinella longiceps Val.)

Colocasia esculenta L. which is popularly known in Malaysia as ‘‘keladi’’ has extensive traditional uses for certain of the plant part such as the leaves, corm and stem. An earlier study has reported on the analysis of its pharmacological properties such as antiinflammatory and antibacterial activity. This study aimed to determine the antibacterial activity of C. esculenta L. leaves extracts against Staphylococcus aureus ATCC 29737 and Vibrio parahaemolyticus ATCC 17802 and its effect on the microbial population of sardine. The extract was tested for antibacterial activity against S. aureus and V. parahaemolyticus in term of disc diffusion assay (DDA), minimum inhibitory concentration (MIC), minimum bactericidal concentration (MBC) and killing time curve by using Clinical and Laboratory Standard Institute (CLSI) methods. DDA assay of the extract resulted in 8.40±0.10 mm and 8.20±0.16 mm of inhibition zone of the extract on S. aureus and V. parahaemolyticus, respectively. The extract can inhibit the growth of S. aureus and V. parahaemolyticus with MICs values of 1.25±0.00 and 0.31±0.00 mg/mL and can kill the bacteria with MBCs values of 2.50±0.00 and 0.63±0.00 mg/mL, respectively. The killing time analyses showed that the S. aureus and V. parahaemolyticus can be killed completely for 4 hrs at 2 × MIC (25.0 mg/mL) and 2 × MIC (6.25 mg/mL), respectively. Application of the extract on sardine samples shows significant reduction in total plate count (TPC), S. aureus and V. parahaemolyticus count after treated with 5.00% of the extract and stored at 4˚C for 30 mins. Based on the findings, it indicates that C. esculenta L. can be listed as one of the alternatives natural sanitiser or preservative agent to reduce the bacterial loading of raw sardine prior to cooking
Storage Stability of Functional Beverage Prepared From Bitter Gourd, Lemon and Amla for Diabetes

Background: Functional beverages become popular in treating non-communicable diseases like diabetes which is influenced by dietary habits and life style of people nowadays. From the standpoint of safe consumption, maintenance of their quality is vital. Therefore, the present study was aimed to evaluate the storage stability of functional beverage prepared from fruits of anti-diabetic potential at ambient temperature.Methods: Three different formulations of bitter gourd: lemon: amla (8:2:3, 6:4:3 and 5:5:3) along with control formulation were prepared and subjected to storage at ambient temperature (30±2oC) and RH of 75-80% in which physico-chemical, sensory and microbial tests were performed at pre-decided intervals. Result: Analyses indicated that physico-chemical quality parameters of total soluble solids (5.2-3.7), titrable acidity (5.1- 4.5) and ascorbic acid content (45.81-30.48) were significantly decreased while pH increased from 3.5 to 4.0 among formulations during storage. Furthermore, scores for sensorial attributes got decreased and there was no microbial growth in beverage formulations up to two months of storage. Considering these results, formulation T4 prepared with 6% bitter gourd + 4% lemon + 3% amla juices was found to be more acceptable and safer beverage for consumption with minimal percentage change and better retention of quality characteristics which could be commercialized as healthy diet drink for diabetics.
Modeling and parametric study of dielectric barrier discharge in pure nitrogen at atmospheric pressure

This paper presents the one-dimensional simulation of the dielectric barrier discharge (DBD) in pure nitrogen at atmospheric pressure using a sinusoidal supply, within a reactor which consists of two parallel plates. For this purpose, significant reactions among the reactive species in the discharge are taken into account in this work by considering more than 70 reactions for 13 species. The model used in this study to describe the kinetics of the plasma species is the second order fluid model which consists in replacing the Boltzmann equation by these first three moments by using the drift-diffusion approximation for flux. In order to validate the model developed in this research, a comparison of the simulated discharge currents obtained with available experimental data is carried out, before presenting the evolution of the properties of the plasma species. After that, a parametric study is performed showing the effect of some parameters like applied voltage, frequency and nature of the coating dielectric material on the characteristics of DBD in nitrogen. Simulation results for a double dielectric DBD reactor are also presented at the end of this paper.
Truncation Mixture R-Vine Copulas

Uncovering hidden mixture correlation among variables have been investigating in the literature using mixture R-vine copula models. These models are hierarchical in nature. They provides a huge flexibility for modelling multivariate data. As the dimensions increases, the number of the model parameters that need to be estimated is increased dramatically, which becomes along with huge computational times and efforts. This situation becomes even much more harder and complicated in the mixture Regular vine models. Incorporating truncation method with mixture Regular vine models will reduce the computation difficulty for the mixture based models. In this paper, tree-by-tree estimation mixture model is joined with the truncation method, in order to reduce the computational time and the number of the parameters that need to be estimated in the mixture vine copula models. A simulation study and a real data applications illustrated the performance of the method. In addition, the real data applications show the affect of the mixture components on the truncation level.
Growing Up as a European? Parental Socialization and the Educational Divide in Euroskepticism

Research consistently shows that individuals with higher levels of education express lower levels of Euroskepticism. This relationship has been explained by values and skills acquired in education and by higher labor- market competitiveness. While these explanations assume a causal impact of education, previous research uses cross- sectional data. This is problematic, as students self- select into education. The contribution of this article is twofold. First, it provides a better test of the causal effect of education on Euroskepticism by using data from the Swiss Household Panel (1999– 2011) that allow analyzing how Euroskepticism changes as students move through education from the age of 13 years onwards. Second, it advances theory by highlighting the role of parental socialization in explaining Euroskepticism. We argue that children of higher educated parents select into higher education and take over the pro- European attitudes of their parents. We find a strong educational divide in Euroskepticism. However, longitudinal analyses show no change in Euroskepticism as individuals pass through education. Supporting the parental- socialization hypothesis, parental Euroskeptic attitudes and education explain changes in youngsters’ Euroskepticism. The results suggest that, rather than a genuine education effect, differences between educational groups are mostly a result of self- selection due to family background.
The Effect of Host, Habitat and Fasting Time on the Gut Microbiota of Amphibian

Wild animals entering captivity experience radical lifestyle changes resulting in microbiota alterations, in large part due to differences in diet. However, little is known about how external environmental factors influences the gut microbiota and the interaction of the environment-host-microbe interactions in host fasting. The gut microbiota in the early stage (amA and dyA groups) and late stage of hibernation in Rana amurensis and R. dybowskii of entering captivity (amL and dyL groups) and wild environments (amS and dyS groups) was determined, and the effects of host, environmental factors and fasting time on the gut microbiota were investigated via high-throughput Illumina sequencing. The Shannon index differed significantly between the amL and dyL groups and between the amA and amS groups. The PD index differed significantly between the dyL and dyS groups. Eight core OTUs were widely distributed between species, habitats and fasting times and were dominant in abundance. Captive and wild environments, host species, and fasting time significantly affected the composition and structure of the gut microbiota. Akaike information criterion (AIC)-based model results suggested that the environment and host were the variables that needed to be included in redundancy analysis (RDA) to explain the variance in taxa. The pairwise distances between the early and late stages of hibernation of were greater in R. amurensis and R. dybowskii entering captivity than in wild. The average of OTUs shared by early and late stages of hibernation of captive frogs was significantly lower than the average of wild frogs. These results can reveal the impact of environmental changes on the gut microbiota, thereby revealing the important interactions between environment-host-microbes, and helping to protect vertebrate hosts.
Locked Out of College: When Admissions Bureaucrats Do and Do Not Discriminate

Abstract How does an individual's criminal record shape interactions with the state and society? This article presents evidence from a nationwide field experiment in the United States, which shows that prospective applicants with criminal records are about 5 percentage points less likely to receive information from college admission offices. However, this bias does not extend to race: there is no difference in response rates to Black and White applicants. The authors further show that bias is all but absent in public bureaucracies, as discrimination against formerly incarcerated applicants is driven by private schools. Examining why bias is stronger for private colleges, the study demonstrates that the private–public difference persists even after accounting for college selectivity, socio-economic composition and school finances. Moving beyond the measurement of bias, an intervention designed to reduce discrimination is evaluated: whether an email from an advocate mitigates bias associated with a criminal record. No evidence is found that advocate endorsements decrease bureaucratic bias.
Aligning supply chain complexity with product demand and design characteristics

ABSTRACT This study models the alignment of supply chain complexity with product demand and design characteristics and formulates appropriate strategies to enhance supply chain alignment. An integrated theoretical framework linking all the three main constructs of supply chain complexity, namely, coordination, collaboration, and configuration, with product demand and design complexities is developed and empirically tested. Data were collected from a cross-industry sample of 273 Australian manufacturing firms and analysed using structural equation modelling. The results show that volatility of demand, product life cycle, and innovativeness directly impact on the complexity of supply chain collaboration. Product modularity, on the other hand, is more likely to indirectly influence supply chain collaboration through the mediating role of coordination. Higher complexity in product demand and design characteristics increases complexity in supply chain coordination and configuration while reducing complexity in supply chain collaboration. Based on the findings, a taxonomy is proposed to provide a reference frame for practitioners to formulate appropriate alignment strategies to manage or mitigate risk associated with growing supply chain complexity.
Children’s independent mobility licence and its association with the built and social environment: a study across neighbourhood typologies in Kolkata

ABSTRACT Narratives on children’s independent mobility (CIM) from developing countries remain limited and under-researched. This is the first paper from India that examines CIM across three urban neighbourhood typologies, taking a case of Kolkata. The study reports from the comparative analysis of the data provided by 384 parents of children aged 7–12 years from four schools on their CIM licence scores and neighbourhood perception. Logistic regression was employed to examine the association of CIM with the built environment (BE) and social environment (SE) variables of the neighbourhood. The results reveal that older children (10–12 years) were found to enjoy higher CIM licences irrespective of their gender. Low-rise neighbourhood inheriting an organic spatial growth fosters higher CIM than planned mid-rise or high-rise neighbourhoods. When all variables were taken together, the influence of neighbourhood social cohesion and safety on CIM was found to override the influence of BE variables.