Miracle-dz/UniFAR-FTUs huggingface dataset:
Anti-Inflammatory Mechanisms of Xuefu Zhuyu Decoction in The Treatment of Atherosclerosis Based on Network Pharmacology and Microarray Data Differences Analysis

Background: Xuefu Zhuyu decoction is a traditional Chinese formula composed of eleven herbs, which has the effect of promoting blood circulation and removing blood stasis. In this study, the anti-inflammatory mechanisms of Xuefu Zhuyu decoction in the treatment of atherosclerosis were studied utilizing network pharmacology, data mining, microarray data differences analysis and molecular docking.Methods: Analyzing data from the TCMSP, the effective components and key targets of Xuefu Zhuyu decoction were screened out. Atherosclerosis-related genes were extracted from the disease databases and determined according to differences analysis. The component-target network was constructed and gene enrichment analysis, as well as topology analysis, were carried out. Finally, the affinity between the target and the effective components was verified by molecular docking.Results: We screened 186 effective components of Xuefu Zhuyu decoction from TCMSP and obtained 126 targets. Through searching the disease databases and analyzing the results of differences analysis, two hundred and one atherosclerosis-related genes were obtained. After constructing the component-target network, it was found that Xuefu Zhuyu decoction played an anti-atherosclerotic role by acting on 21 targets. The results of enrichment analysis suggested that 21 key targets were mainly enriched in biological processes such as leukocyte adhesion and endothelial cell proliferation. The results of molecular docking showed that the key components of Xuefu Zhuyu decoction, have a good affinity with IL-6 and VEGFA.Conclusions: Our bioinformatics analyses suggest that Xuefu Zhuyu decoction plays an anti-atherosclerotic role by regulating biological processes such as leukocyte adhesion and endothelial cell proliferation. This study provides a theoretical basis for the further study of the indications of Xuefu Zhuyu decoction and the development of anti-atherosclerotic drugs.
Effects of 00-rapeseed meal inclusion in Parmigiano Reggiano hay-based ration on dairy cows’ production, reticular pH and fibre digestibility

Abstract Hay-based diets are typically used in Parmigiano Reggiano cheese production. Parmigiano Reggiano feeding regulation prohibits 00-rapeseed dietary inclusion. The objectives of this study were to investigate the effects of substituting soybean-meal with different levels of 00-rapeseed-meal in dairy cows’ diets, to evaluate the possibility to include it in Parmigiano Reggiano regulation. The study had a Latin square design with 8 tie stall dairy cows. The isoenergetic and isoproteic dietary treatments differed in protein source (% of DM): S (0.0% 00-rapeseed-meal, 9.3% of soybean-meal), LR (3.8% 00-rapeseed-meal, 6.8% of soybean-meal), MR (8.5% 00-rapeseed-meal, 3.4% of soybean-meal), and HR (13.2% 00-rapeseed-meal, 0.0% of soybean-meal). DMI, milk production and composition, rumination and reticular-pH were recorded daily. Dietary fibre digestibility was evaluated by in vitro fermentation and milk gointrin content was quantified by liquid chromatography–tandem mass spectrometry. Statistical analysis was performed by mixed model. Milk yield, protein and casein content increased for incremental 00-rapeseed-meal dietary levels. MR treatment compared to the others resulted in higher daily reticular-pH (5.92), and fewer minutes with pH below 5.8 (467) and 5.5 (72). Goitrin was detectable in milk when 00-rapeseed-meal was included in the diet. Overall, the inclusion of 00-rapeseed-meal in the Parmigiano Reggiano type ratio did not compromise the performances of cows pointing to it as a reliable substitute for soybean-meal. Our results suggest that 00-rapeseed-meal should be tested in feeding studies to determine its effects on milk organoleptic characteristics and cheese production and quality to see if it can be included in the Italian PDO cheese regulation. Highlights 00-rapeseed inclusion on hay-based diet improve DMI, ECM and rumen health 00-rapeseed-meal introduction in Italian PDO cheese regulation is suggested
Genomic data from the Brazilian sibilator frog reveal contrasting pleistocene dynamics and regionalism in two South American dry biomes

Knowledge about the Neotropical dry formations, particularly the Caatinga, remains rudimentary compared to other biotas in the region. Here we address several biogeographical hypotheses by combining intense geographical and genomic sampling obtained for the Brazilian sibilator frog. We specifically test predictions related to the putative roles of past climate shifts (Pleistocene and Holocene) and local geographical barriers (past and current courses of the São Francisco River, SFR) in causing population differentiation in this species.
Game-Theoretic Resource Allocation Algorithms for Device-to-Device Communications in Fifth Generation Cellular Networks: A Review

: Game-theoretic resource allocation algorithms are essential to managing the interference that Device-to-Device (D2D) and cellular transmissions could generate to each other in cellular networks since game-theoretic solutions are naturally autonomous and robust. In this paper, we present a survey on D2D communication in cellular networks with respect to the performance of the existing and accessible game-theoretic resource allocation algorithms published in 2013-2019. Each of the game-theoretic resource allocation algorithms with its properties such as utility, complexity, fairness, overhead cost, and convergence rate are reviewed and compared. The survey proved that game-theoretic solutions could be a viable strategy for practical implementation in 5G networks as each of the reviewed scheme attempts to optimize one or various essential performance metrics in the system. Finally, the paper recommends that serious efforts should be made by standardization bodies in incorporating game-theoretic strategy in D2D-enabled 5G networks while considering it as a road map for reliable and resource-efficient solutions in future cellular networks
The problem of empowerment: the social ecologies of indigenous youth leadership

ABSTRACT Young Aboriginal and Torres Strait Islander or Indigenous Australians experience pervasive marginalisation. Indigenous youth leadership programmes are often positioned as a means of empowering such young people by encouraging and enabling their participation in their communities as well as, by extension, wider social and political contexts. This paper uses a social ecologies lens to highlight the inherent relationality of such programmes, drawing on the data emerging from the evaluation of one specific initiative. It suggests that local social ecologies play a key role in determining young people’s relationship to their communities and wider political processes, but it also raises the question of whether feeling empowered to participate or lead is the same as being empowered. It highlights the ways in which educational efforts to foster Indigenous young people’s participation and leadership are informed and constituted by interrelated, interwoven and interdependent factors that include historical and contemporary racialisation and racism.
An All-in-One Biomimetic 2D Spiking Neural Network

In spite of recent advancements in bio-realistic artificial neural networks such as spiking neural networks (SNNs), the energy efficiency, multifunctionality, adaptability, and integrated nature of biological neural networks (BNNs) largely remain unimitated in hardware neuromorphic computing systems. Here we exploit optoelectronic and programmable memory devices based on emerging two-dimensional (2D) layered materials such as MoS2 to demonstrate an “all-in-one” hardware SNN system which is capable of sensing, encoding, unsupervised learning, and inference at miniscule energy expenditure. In short, we have utilized photogating effect in MoS2 based neuromorphic phototransistor for sensing and direct encoding of analog optical information into graded spike trains, we have designed MoS2 based neuromorphic encoding module for conversion of spike trains into spike-count and spike-timing based programming voltages, and finally we have used arrays of programmable MoS2 non-volatile synapses for spike-based unsupervised learning and inference. We also demonstrate adaptability of our SNN for learning under scotopic (low-light) and photopic (bright-light) conditions mimicking neuroplasticity of BNNs. Furthermore, we use our hardware SNN platform to show learning challenges under specific synaptic conditions, which can aid in understanding learning disabilities in BNNs. Our findings highlight the potential of in-memory computing and sensing based on emerging 2D materials, devices, and circuits not only to overcome the bottleneck of von Neumann computing in conventional CMOS designs but also aid in eliminating peripheral components necessary for competing technologies such as memristors, RRAM, PCM, etc. as well as bridge the understanding between neuroscience of learning and machine learning.
Novel potential yeast strains for the biotechnological production of xylitol from sugarcane bagasse

This study aimed to screen the xylitol‐producing strains of Cyberlindnera xylosilytica and Wickerhamomyces rabaulensis for the bioconversion of the hemicellulosic fraction of sugarcane bagasse. Among the 16 strains tested, two of each species (C. xylosilytica UFMG‐CM‐Y309 and UFMG‐CM‐Y409, and W. rabaulensis UFMG‐CM‐Y3716 and UFMG‐CM‐Y3747) were selected on the basis of xylitol yield (Yp/s) and xylitol volumetric productivity (Qp) in YPX broth (yeast extract, 10 g L−1; peptone, 20 g L−1; and d‐xylose, 60 g L−1). These strains were cultivated in sugarcane bagasse hemicellulosic hydrolysate (SCHH) supplemented with ammonium sulfate, rice bran extract, and yeast extract. The xylitol yield was the highest in the strain C. xylosilytica UFMG‐CM‐Y‐309 with a production of 14.06 g L−1; xylitol yield, 0.63 g g−1; xylitol volumetric productivity, 0.20 g L−1 h−1. Xylitol yields ranged from 14% to 74% above those of other xylitol‐production yeast species. This work demonstrates the potential of biotechnological application of these yeasts for xylitol production. © 2021 Society of Chemical Industry and John Wiley & Sons, Ltd
Exploring the impact of internet gaming disorder on adolescent gamers using thematic analysis

Most of the top gaming companies are owned by China, Japan, Korea, and USA. However, the users of games, developed by these gaming techgiants are worldwide. Online/offline gaming has been a fascination for adolescents and adults ever since video games came in the global market. Moreover, Internet provides a plethora of online and offline games which help the gamers to vent out their feelings and extend resources through communication which is essential for a healthy development of emotional and psychological state. Though society often took gaming as a light hearted activity and often intended to reduce stress and boredom has recently taken a drastic shift, highlighting its negative outcomes on the users. To add on to this, the formal declaration of Internet gaming as a mental health disorder by the World Health Organization (WHO) 2018 has brought relentless researches focusing on the detrimental impact of Internet games on the users. Moreover, this inclusion has had a great influence on the scientific researches. This paper attempts to explore the impact of Internet Gaming Disorder (IGD) on adolescent gamers qualitatively using thematic analysis, and offers suggestion for combating issues pertaining to Internet games on its users.
Electric Vehicles Ready for Breakthrough in MaaS? Consumer Adoption of E-Car Sharing and E-Scooter Sharing as a Part of Mobility-as-a-Service (MaaS)

Current mobility trends indicate that the popularity of privately-owned cars will decrease in the near future. One reason for this development is the diffusion of mobility services such as car or bike sharing, or Mobility-as-a-Service (MaaS) bundles. Especially, MaaS bundles have the potential to respond to environmental issues and provide reliable mobility to users, thus illustrating the possibilities of being mobile without owning a car. Most of the past research on MaaS bundles, however, has focused on bigger cities that already have good infrastructural bases. Building on previous work in the MaaS field, we conducted a choice-based conjoint survey (n = 247) in Austria to investigate consumer preferences for MaaS packages in a suburban area. Further, we gathered data on the consumers’ willingness to pay, especially for including electric vehicles in the form of e-car sharing and e-scooter sharing in MaaS packages. The results highlight the importance of package price as the attribute with the highest impact on purchase intention. Further, participants in our study most preferred MaaS packages that included e-car sharing to ones with e-scooter sharing. Using latent class analysis, we classified the respondents into three different segments with varying preferences for MaaS bundle features, and conducted market simulations.
Positioning Left-hand Movement in Violin Performance: A System and User Study of Fingering Pattern Generation

Organizing fingerings, i.e., choosing which fingers to press on which positions and strings, is a crucial step for playing the violin. As the violin fingering comprises several components, the mapping of a musical phrase to the corresponding fingering arrangement is not unique, and it requires comprehensive musical knowledge for organizing adequate fingerings. In this paper, we study the human-machine cooperative approach to the generation of violin fingering, aiming to build an intelligent system which can provide multiple generation paths and yield adaptable fingering arrangements. For this sake, we compile a new dataset with fingering annotations of multiple versions of performance, propose a deep neural network with conditions on the left-hand movement for fingering generation, and conduct an in-depth user study for detailed responses. Result shows that the proposed system can yield various fingering arrangements according to different performance requirements, though a single generation may not satisfy all the requirements at a time. This highlights the importance of multi-path and human-in-the-loop architecture for violin fingering generation.
Investigating Combined Drought- and Heat Stress Effects in Wheat under Controlled Conditions by Dynamic Image-Based Phenotyping

As drought and heat stress are major challenges for crop productivity under future climate changes, tolerant cultivars are highly in demand. This study investigated the potential of existing Nordic wheat genotypes to resist unfavorable conditions. Four genotypes were selected based on their heat sensitivity (heat-sensitive: LM19, SF1; heat-tolerant: LM62, NS3). At the tillering stage, the plants were subjected to four treatments under controlled conditions: control, drought, heat and combined drought and heat stress. The morpho-physiological performance was quantified during the early and late phase of stress, as well as the recovery phase. We applied an integrative image-based phenotyping approach monitoring plant growth dynamics by structural Red Green Blue (RGB) imaging, photosynthetic performance by chlorophyll fluorescence imaging and transpiration efficiency by thermal infrared imaging. The results demonstrated that the selected genotypes were moderately affected in their photosynthetic efficiency and growth under drought stress, whereas heat and combined stress caused rapid reductions in photosynthesis and growth. Furthermore, drought stress had a major impact on canopy temperature. The NS3 genotype was the most robust genotype, as indicated by its improved response under all stress treatments due to its relatively small biomass. However, the genotypes showed different tolerance to individual and combined stress.
Navigating the choppy waters to Nirvana: A critical reflective account of caring for ageing parents in the fourth age

Abstract This article revisits a paper and from an autoethnographic/critical reflective biographical approach re-examines seven cultural notions or myths, which may encourage ageism. It is framed within my experiential knowledge of caring for my ageing parents, with the tensions and challenges around problematising the value of expertise based on experience, communication, grief, and autonomy and freedom versus safety. The commentary emphasises that by analysing the impact of our personal life experiences, we can start to understand both the intended and unintended consequences of policy and practice affecting those in the fourth age. As a social work educator, I wanted to reflect upon how my tacit experiential knowledge, if made explicit, could impact upon my own and others’ learning. The recent death of my father has allowed for a period of reflection on my own caring and indeed my professional social work experience, knowledge, skills and practice. It is argued that the ageing process is unequal as class and socio-economic factors, i.e. geography, age, gender, religion and ethnicity, all play parts in determining how someone ages, and indeed upon the care an individual older person receives. A fuller understanding of negotiating the role of one stakeholder, that of a family carer in the ageing process, is elicited in this paper.
Reaction Mechanisms Of Inorganic And Organometallic Systems

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QUANTIFYING AND MAPPING THE EVOLUTION OF A LEADER JOURNAL IN THE FIELD OF CIVIL ENGINEERING

Automation in Construction is one of the leading international journals in construction and building dating back to 1992. This study aims to quantify and visualize the evolution of Automation in Construction publications using bibliometric methods. Our work has two parts: 1) publication and citation statistics in terms of annual distributions, citing sources, prolific countries/regions and institutes, and highly cited papers, 2) network and science mapping analyses in terms of co-authorship network, co-citation network and thematic evolution. Two bibliometric software, VOSviewer and SciMAT, are used to help us carry out the analyses. The results suggest that Automation in Construction has obtained increasing influence and reputation from scientific community over the past decades. It is expected that our study has guiding significance for editors and readers of this journal through providing key insights about the evolution over time.
A Severe Air Pollution Event from Field Burning of Agricultural Residues in Beijing, China

Air pollutant emissions from agricultural burning are observed every year after harvest in China. While agriculture is not the main contributor to air pollution in China, agricultural activities can cause severe pollution events. Recognizing the key mechanisms involved in this process offers an opportunity to minimize pollution events caused by agricultural burning. In this paper, we review the meteorological conditions present during a selected air pollution episode and discuss those conditions using standard meteorological observations. The spatio-temporal variations of PM2.5 concentrations following agricultural burning in Beijing were measured from October 4 to October 7, 2013. This time period coincides with a Chinese public holiday and was selected because the influence of other anthropogenic emissions on air quality was strongly reduced during those days. As a result, we were able to identify the key sources and progress of a severe air pollution event. On October 4, average PM_(2.5) concentration in Beijing continuously increased from 49.7 μg m^(-3) at 1:00 to 302.5 μg m^(-3) at 23:00. Heavily polluted air (＞ 300 μg m^(-3)) initially appeared in southeastern Beijing on the afternoon of October 4. On October 5 and in the early morning of October 6, heavily polluted air masses moved into central Beijing, the inner suburbs, and the suburbs. From 0:00 on October 6 to 15:00 on October 7, the average PM_(2.5) concentration in Beijing decreased from 291.6 μg m^(-3) to 19.2 μg m^(-3). Active fire information derived from the MODIS sensors and back trajectory analysis show that field burning of agricultural residues after a harvest triggered and massively contributed to this severe air pollution event. The results improve our understanding of PM_(2.5) air pollution development processes, and they provide scientific support for the Chinese government to accelerate emission reductions from the field burning of agricultural residues.
Reinforcement learning in discrete action space applied to inverse defect design

Reinforcement learning (RL) algorithms that include Monte Carlo Tree Search (MCTS) have found tremendous success in computer games such as Go, Shiga and Chess. Such learning algorithms have demonstrated super-human capabilities in navigating through an exhaustive discrete action search space. Motivated by their success in computer games, we demonstrate that RL can be applied to inverse materials design problems. We deploy RL for a representative case of the optimal atomic scale inverse design of extended defects via rearrangement of chalcogen (e.g. S) vacancies in 2D transition metal dichalcogenides (e.g. MoS2). These defect rearrangements and their dynamics are important from the perspective of tunable phase transition in 2D materials i.e. 2H (semi-conducting) to 1T (metallic) in MoS2. We demonstrate the ability of MCTS interfaced with a reactive molecular dynamics simulator to efficiently sample the defect phase space and perform inverse design—starting from randomly distributed S vacancies, the optimal defect rearrangement of defects corresponds a line defect of S vacancies. We compare MCTS performance with evolutionary optimization i.e. genetic algorithms and show that MCTS converges to a better optimal solution (lower objective) and in fewer evaluations compared to GA. We also comprehensively evaluate and discuss the effect of MCTS hyperparameters on the convergence to solution. Overall, our study demonstrates the effectives of using RL approaches that operate in discrete action space for inverse defect design problems.
Smart Coordinate Measuring Machine (CMM) Inspection for Turbine Guide Vanes with Trend Line and Geometric Profile Tolerance

Turbine guide vanes are among the most critical and complex turbine parts. As an entire engine comprises a significant number of vanes, simplification of the measurement process translates into overall time and money savings. The key to simplification is to define critical areas for inspection, which enables relaxation of strict inspection standards in all areas of stable process manufacturing. The method described herein can help engineers to achieve savings in inspection time and cost, at the same time ensuring the correct shape of vanes as the approach used in this work places great emphasis on correlations between measurements, working conditions, and manufacturing abilities. Another element of the novelty of this approach is an atypical hybrid convention for the crossing of vertical and horizontal inspection paths, assuring a correlation between the measured sections. Although this novel approach was used to measure the geometry of a cast turbine guide vane, it can be easily implemented to measure the geometry of any other element of complex shape.