Miracle-dz/UniFAR-FTUs huggingface dataset:
Experimental Study on the Effect of Humidification on the Pollution Characteristics of Particulate Matter in the Office

Indoor air quality has a direct impact on human health. Indoor air quality has aroused great concern. This experimental study compares the effects of different water humidification on the indoor particulate pollution characteristics, and analyzes the mass concentration and the particulate number concentration distribution of different sizes of particulates with time under each condition of the purified water humidification, the tap water humidification and the cold boiled water humidification in the office. The results show that under the three kinds of wetting conditions, the concentration of the fine particulates is higher. More minerals are contained in the tap water and the cold boiled water, so the two kinds of humidification have more significant impact on indoor particulate matter. But the purified water humidification has nearly no significant effect on it. The calcium and magnesium ionic compounds are partly removed after the water boiled, so the cold boiled water humidification has less impact on the indoor particulate matter than the tap water humidification. The mass concentration and particulate number concentration of the particle may also be affected due to the frequency of ultrasonic vibration.
Élaboration de monocouches de dichalcogénures de métaux de transition du groupe (VI) par chimie organométallique de surface

Le disulfure de molybdene, MoS2, est un compose lamellaire de la famille des dichalcogenures de metaux de transition utilise depuis pres d'un siecle comme lubrifiant solide et catalyseur d'hydrotraitement. Depuis la decouverte en 2010 de ses proprietes de photoluminescence et de conduction (semiconducteur possedant un gap direct) lorsqu'il est isole a l'etat d'une seule monocouche, ce nouveau materiau 2D a suscite un interet croissant au sein de la communaute scientifique et permis d'envisager de nombreuses applications dans le domaine de l'energie ou pour la realisation de composants electroniques. Au-dela du disulfure de molybdene, cette decouverte s'etend egalement a d'autres dichalcogenures (WS2, NbS2, MoSe2, WSe2,…) dont la combinaison des proprietes avec celles d'autres materiaux 2D deja connus (graphene, h-BN,…) offre encore d'avantage de possibilites. Aujourd'hui, la realisation de nombreux prototypes en laboratoire, principalement assembles a partir de monocouches exfoliees, a pu demontrer le potentiel applicatif de ces materiaux, justifiant la necessite de mettre au point des methodes de synthese qui permettront l'elaboration de dichalcogenures 2D a une echelle industrielle.Dans ce contexte, ou semble actuellement etre privilegie le developpement de procedes de CVD a tres haute temperature necessitant des temps de croissance eleves et l'utilisation de substrats epitaxies, nous avons decide d'evaluer le potentiel d'une approche a basse temperature par des methodes de depot en phase vapeur sur silice amorphe. Ce travail nous a ainsi permis d'identifier plusieurs couples de precurseurs pouvant se preter au depot par CVD ou par ALD de couches minces amorphes de sulfure de molybdene ou de tungstene a moins de 250°C, puis de demontrer leur capacite a se reorganiser en monocouches de MoS2 et WS2 cristallines par un simple recuit thermique sous atmosphere inerte
Effects of salinity on soil bacterial and archaeal community in estuarine wetlands and its implications for carbon sequestration: verification in the Yellow River Delta

ABSTRACT Soils from two typical tidal salt marshes with varied salinity in the Yellow River Delta wetland were analysed to determine possible effects of salinity on soil carbon sequestration through changes in soil microbiology. The mean soil respiration (SR) of the salt water–fresh water mixing zone (MZ) was 2.89 times higher than that of the coastal zone (CZ) (4.73 and 1.63 μmol m−2 s−1, respectively, p < .05), and soil dehydrogenase activity was the main microbial factor influencing SR. In addition to the higher soil microbial biomass, the MZ had more β-Proteobacteria than the CZ, as well as some specific bacteria with strong heterotrophic metabolic activity such as Pseudomonas sp. and Limnobacter sp. that might have led to its higher dehydrogenase activity and respiratory rates. Additionally, the CZ possessed more Halobacteria and Thaumarchaeota with the ability to fix CO2 than the MZ. Significantly lower soil salinity in MZ (4.25 g kg−1) was suitable for β-Proteobacteria, but detrimental for Halobacteria compared with CZ (7.09 g kg−1, p < .01), which might lead to the lower microbial decomposition capacity of soils in CZ. As a result, the CZ has a higher soil organic carbon content than the MZ.
Waste reduction of polypropylene bag manufacturing process using Six Sigma DMAIC approach: A case study

Abstract In the current study, minimization of waste in terms of sack rejection at a polypropylene bag manufacturing process is achieved. The Six Sigma DMAIC (Define, Measure, Analyze, Improve, Control) approach is adopted which results in 50% waste reduction and a considerable cost saving. The sack rejection is brought to 1.20% from the previous average waste of 2.80% using DMAIC. It is found that this high rejection rate of 2.80% is due to the low fabric strength obtained at the weaving section, which in turn occurred due to the lower tape tenacity values obtained from the extrusion section. Hence, experimental design is conducted at the extrusion department and it is found that the two interacting factors are playing a significant contribution to the process variation and hence result in lower tape-tenacity (i.e., less than 6 g/denier). The two interacting factors included the “water bath temperature” and “line speed” of the extrusion process, with a p-value less than 5%. By further analysis, the optimal level of these significant factors is found. They are 300 m/min for “line speed” and 40⁰C for “water bath temperature. At these settings, the extrusion process produces optimal tape-tenacity results (i.e., at least 6 g/denier), which ultimately results in minimum waste in terms of sack rejection waste. The objective of the study includes finding the significant factors contributing to the process variation. Also controlling those factors to the optimal levels to achieve minimum wastage and considerable cost saving. The methodology and findings of the present study can be generalized to the polypropylene bag manufacturing plants and the process efficiency can be enhanced.
De Covid-19-pandemie kan een gesprek rondom het levenseinde faciliteren

The Covid-19 pandemic could facilitate an end-of-life conversation The new “severe acute respiratory syndrome” coronavirus (SARS-CoV-2) is testing our health care system in several ways. The need for clear end-of-life conversation is, more than ever, emphasized. The potential overcrowding in health facilities creates an important ethical dilemma about which patient can occupy which hospital bed. Most caregivers understand the importance of good communication and documentation of end-of-life conversations, yet few will conduct those conversations. Often, the emphasis lies on obtaining a “do not resuscitate” code (DNR), rather than exploring the patient’s care goals and values. Early care planning (ECP) focuses on those care goals and values. On the one hand, the COVID-19 pandemic is a good starting point for initiating conversations about end-of-life. On the other hand, there are important practical limitations regarding the adequate execution of those conversations. The current pandemic teaches us that ECP should be a central part of our clinical practice. It is important that healthcare providers take responsibility for identifying and initiating those patients who would benefit from such conversations.
What People Look at in Multimodal Online Dating Profiles: How Pictorial and Textual Cues Affect Impression Formation

This study investigates how online dating profiles, consisting of both pictures and texts, are visually processed, and how both components affect impression formation. The attractiveness of the profile picture was varied systematically, and texts either included language errors or not. By collecting eye tracking and perception data, we investigated whether picture attractiveness determines attention to the profile text and if the text plays a secondary role. Eye tracking results revealed that pictures are more likely to attract initial attention and that more attractive pictures receive more attention. Texts received attention regardless of the picture’s attractiveness. Moreover, perception data showed that both the pictorial and textual cues affect impression formation, but that they affect different dimensions of perceived attraction differently. Based on our results, a new multimodal information processing model is proposed, which suggests that pictures and texts are processed independently and lead to separate assessments of cue attractiveness before impression formation.
Numerical Analyses of Static Characteristics of Liquid Annular Seals Based on 2D LBM-LES Model

Static characteristics and leakage flow rates of liquid annular seals have great influences on the hydraulic efficiency of turbomachinery. In this paper, a two-dimensional (2D) mathematical model for predicting the leakage flow rates and static characteristics of liquid seal is established, based on the lattice Boltzmann method (LBM) combined with the D2G9 velocity model for incompressible fluid and large eddy simulation (LES) turbulence model, in which the transformation equation of reference pressure is developed with the Bernoulli equation. Moreover, the proposed model is validated by comparing with the experimental results, calculation results based on the finite volume method (FVM), and the results based on the empirical method of three seals under different operating conditions. The comparisons show that the maximum deviation in leakage prediction of the calculating model based on 2D LBM is 4%, and this calculating model will effectively improve the leakage prediction accuracy of the seals compared with the FVM and theoretical method.
Super-resolution simulation of terahertz coded aperture imaging

A terahertz imaging method based on aperture coding is proposed to solve the problems of large pixel size and low resolution of the terahertz imaging detector. The forward model of the terahertz coded incoherent imaging system is established, and the optimal coding imaging strategy is discussed. By adding coded modulation to the aperture, the image detected by the imaging detector can generate pixel-level light intensity conversion. Through the multi-frame aperture coding simulation experiment, the pixel aliasing problem caused by the detector pixel size is effectively solved, and the imaging resolution is improved to the diffraction limit of the approximate lens, so as to guide the future experiments.
Molecular Characterization of Velogenic Avian Avulavirus Type 1 Isolated from Apparently Healthy Emu Birds: Implications to Viral Maintenance and Spread

Background: Newcastle disease caused by Avian avulavirus type 1 (AAvV-1) is one of the dreadful diseases affecting poultry and other avian species. Wild birds and several domestic birds are recognized as reservoirs of AAvV-1 and probably contribute to the epidemiology of ND in the domesticated poultry. Hence, efforts have been made to understand the virulence and genetic nature of AAvV-1 isolates obtained from apparently healthy Emu birds.Methods: This study details characterization of a velogenic Emu/5 AAvV-1 isolate obtained from an asymptomatic emu flock. Full- length fusion gene was amplified and subsequent phylogenetic analysis was performed. Experimental inoculation of 3-week old chicken with the isolate resulted in virulent ND. Expression of cytokine mRNA levels in spleen of infected chicken at different time points correlated well with the clinical picture, gross and histopathological lesions.Result: To our knowledge this is the first evidence for the role of apparently healthy emu bird acting as a reservoir of velogenic AAvV-1 of subgenotype XIII 2.2 which proved to be highly virulent to chicken. This study further highlights the role of reservoir birds in AAvV-1 transmission and the need for adopting most realistic strategies in counteracting the disease.
Relating brain structure images to personality characteristics using 3D convolution neural network

Zhuhai Laboratory of Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, Zhuhai College of Jilin University, Zhuhai, China Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun, China School of Information & Research Institute, Kochi University of Technology, Kochi, Japan
‘Literature review on the analysis of climate change risks in the environmental impact assessment of dams’

ABSTRACT Climate change is a current concern in our society, with consequences increasingly felt worldwide. Alongside territories and communities, large infrastructures such as dams may be vulnerable to climate change and need to be resilient to related impacts. Consequently, their approval should require a comprehensive assessment of associated climate change risks. This concern is addressed by several international guidelines that suggest incorporating the evaluation of climate change risks in the Environmental Impact Assessment (EIA) process to overcome it. It is also evidenced in several national EIA regulations updated accordingly. Based on a systematic review of scientific literature published in the last twenty years, this paper explores how has the scientific community addressed the integration of climate change risks in the EIA of dams. The findings show that the potential of EIA to address climate change risks is widely acknowledged. However, published systematic studies assessing how the analysis of these risks is being included in dams’ EIA current practice, are rare. This gap suggests a research potential around the topic and a new niche for research.
The use of a very small business-scale oven to enhance quality of “ready–to-eat” Beef Jerky

The aim of this study was to enhance the quality of traditional ready-to-eat beef jerky using a very small business scale (VSB) oven “Rob-Han” 12 racks. The experiment was designed in a Completely Randomized Design consisted of 6 roasting treatments using a laboratory oven (15 min.) and using a Rob Han oven at 5 various times (0, 5, 10, 15, and 20 min.). The results showed that the use of the oven (Rob-Han) significantly affected the chemical qualities of beef jerky i.e. relative humidity, water activity, water content, and protein content. However, the treatments did not significantly affect the ash content of beef jerky. All of the heating time treatments in the oven (Rob-Han) were able to reduce total microbes 2 log cycles (into less than 1,0x103 CFU/gram). Furthermore, coliform and fungi were undetected on agar media of all treatments, therefore they were safe for consumption. Based on the qualities and shelf-life parameters, the best treatment was the roasting for 20 minutes at 135 °C using the oven (Rob-Han) 12 rack, which resulted in beef jerky with a quality similar to that produced by roasting in the laboratory scale oven Memmert.
A New Finite Automata Construction Using a Prefix and a Suffix of Regular Expressions

SUMMARY This paper presents a new method to translate a regular expression into a nondeterministic ﬁnite automaton (an NFA for short). Let r be a regular expression and let M be a Thompson automaton for r . We ﬁrst introduce a labeled Thompson automaton deﬁned by assigning two types of expressions which denote preﬁxes and su ﬃ xes of words in L ( r ) to each state of M . Then we give new " -free NFAs constructed from a labeled Thompson automaton. These NFAs are called a preﬁx equation automaton and a su ﬃ x equation automaton . We show that a su ﬃ x equation automaton is isomorphic to an equation automaton deﬁned by Antimirov. Furthermore we give an NFA called a uniﬁed equation automaton by joining two NFAs. Thus the number of states of a uniﬁed equation automaton can be smaller than that of an equation automaton.
A Hybrid Approach Combining R*-Tree and k-d Trees to Improve Linked Open Data Query Performance

Semantic Web has recently gained traction with the use of Linked Open Data (LOD) on the Web. Although numerous state-of-the-art methodologies, standards, and technologies are applicable to the LOD cloud, many issues persist. Because the LOD cloud is based on graph-based resource description framework (RDF) triples and the SPARQL query language, we cannot directly adopt traditional techniques employed for database management systems or distributed computing systems. This paper addresses how the LOD cloud can be efficiently organized, retrieved, and evaluated. We propose a novel hybrid approach that combines the index and live exploration approaches for improved LOD join query performance. Using a two-step index structure combining a disk-based 3D R*-tree with the extended multidimensional histogram and flash memory-based k-d trees, we can efficiently discover interlinked data distributed across multiple resources. Because this method rapidly prunes numerous false hits, the performance of join query processing is remarkably improved. We also propose a hot-cold segment identification algorithm to identify regions of high interest. The proposed method is compared with existing popular methods on real RDF datasets. Results indicate that our method outperforms the existing methods because it can quickly obtain target results by reducing unnecessary data scanning and reduce the amount of main memory required to load filtering results.
Factors and conditions influencing the willingness of Irish consumers to try insects: a pilot study

Entomophagy is being explored as a sustainable food source in Western countries to combat the ever-increasing effects of climate change. Studies conducted in various European countries determine the factors affecting willingness to consume insects. The current study aims to gain the first insight on this topic in Ireland, a country with a long farming tradition. A survey including open- and closed-ended questions was developed and sent to students and staff of an institute of technology in the West of Ireland. The willingness to consume insects and the factors affecting willingness to consume them under different conditions were assessed. It was found that less neophobic males who do not follow a particular diet were most receptive to entomophagy. People who were willing to try insects were less willing if the insects were to be eaten whole. People who were not willing were more inclined to do so if they were disguised or used to feed livestock. Food neophobia, disgust and safety concerns were barriers to acceptance. Tasty products containing disguised insects in familiar foods are the most likely to be accepted. Education and taste tests are recommended first steps to introducing entomophagy. Using insects to feed livestock has the potential to improve acceptance of entomophagy by introducing insects in the supply chain. However, further research should be conducted to assess acceptance of this amongst Irish farmers. The current study agrees with findings of studies conducted in other European countries and reveals the conditions under which insects could become acceptable among Irish consumers.
The Prediction Status of Secondary School Students’ Metacognitive Awareness, Self-regulatory Learning Strategies, Anxiety and Attitude Levels Towards Mathematics on Mathematics Achievement

The aim of this research is to determine whether the metacognitive awareness, self-regulatory learning strategies, anxiety and attitude towards mathematics differ or not according to the gender and class level variables and investigate the prediction status of these variables on mathematics achievement. The research, designed with the correlational survey method, was carried with 124 secondary school students. As the data collection tools, the Metacognitive Awareness Learning Strategies, Mathematics Anxiety Scale and Mathematics Attitude Scale were used. In addition, to determine the mathematics achievements of the students, the mathematics course scores, which the students got at the end of the year before the term at which the research was conducted, were taken into consideration. The independent sampling t-test, one-way ANOVA and linear regression analysis were applied in the analysis of the data. According to the findings, it was found while the learning strategies of the students differed according to gender, their anxiety and attitude towards mathematics and metacognitive awareness did not differ according to gender; all these variables did not differ according to class level. Besides, self-regulatory learning strategies are a significant predictor of mathematics achievement.
Differences in water relations and total carbohydrate content between precommercially thinned and unthinned Pinus nigra subsp. pallasiana stands

Variations in seasonal responses in water relations and total carbohydrate content (TCC) in one-yearold shoots from precommercially thinned (PCT) and unthinned Anatolian black pine stands were assessed during three seasons (sampling in May, July and September) in 2015–2017. Three different treatments were established: unthinned control with 4 941 stems·ha–1 and two thinned spacing levels (2–2.5 and 3–3.5 m) where 2 133 stems·ha–1 and 1 093 stems·ha–1 were left, respectively. Differences in osmotic potential at turgor loss point (ΨπTLP) between the thinned and unthinned plots appeared only during a water shortage (September) in the second season, with the thinned stands showing lower ΨπTLP than the unthinned stands. Seasonal variation in terms of ΨπTLP was detected in the 3–3.5 m spacing trees. PCT were effective on osmotic potential at full turgor (Ψπ100), relative water content (RWC), symplastic water at saturated point per dry weight of the shoot and dry weight fraction. In both the thinned and unthinned plots, a gradual decline was observed in RWC from May to September in all three years. Generally, although TCC was found to be higher in the 3–3.5 m spacing, control plots were also high in carbohydrates in some periods. Results reflect the ability of this species to survive in changing environments by PCT during dry periods in the three studied seasons. Although PCT has an effect on water potential components and TCC, it is not clear exactly how effective the PCT density is in osmotic adjustment.
Predictive Distribution Modeling Using Transformation Forests

Abstract Regression models for supervised learning problems with a continuous response are commonly understood as models for the conditional mean of the response given predictors. This notion is simple and therefore appealing for interpretation and visualization. Information about the whole underlying conditional distribution is, however, not available from these models. A more general understanding of regression models as models for conditional distributions allows much broader inference, for example, the computation of prediction intervals or probabilistic predictions for exceeding certain thresholds. Several random forest-type algorithms aim at estimating conditional distributions, most prominently quantile regression forests. We propose a novel approach based on a parametric family of distributions characterized by their transformation function. A dedicated novel “transformation tree” algorithm able to detect distributional changes is developed. Based on these transformation trees, we introduce “transformation forests” as an adaptive local likelihood estimator of conditional distribution functions. The resulting predictive distributions are fully parametric yet very general and allow inference procedures, such as likelihood-based variable importances, to be applied in a straightforward way. Supplemental files for this article are available online.