Miracle-dz/UniFAR-FTUs huggingface dataset:
Kippstabilität von Trägern mit Drehbettung – Einfluss und Anwendung der neuen Regelungen in prEN1993‐1‐1:2020

In diesem Beitrag werden die Ergebnisse einer Studie vorgestellt, welche die Auswirkungen der im Normentwurf zur 2. Generation der EN 1993‐1‐1 eingeführten Neuerungen des Biegedrillknicknachweises von Trägern mit I‐ und H‐Querschnitt auf die Regelungen zur Bestimmung der erforderlichen Drehbettung zur Vermeidung des Biegedrillknickens untersuchte. Es werden zunächst die Hintergründe der bestehenden und neuen Regelungen gemeinsam mit bisherigen Vorschlägen zur Anpassung der Definition der Mindest‐Drehbettung diskutiert. Anhand theoretischer Überlegungen sowie numerischer Berechnungen der realitätsnahen Tragfähigkeit drehgebetteter Stäbe wird gezeigt, dass die neuen Regelungen für das Biegedrillknicken in prEN1993‐1‐1 zu sehr präzisen Vorhersagen der Tragfähigkeit drehgebetteter Stäbe führen, solange die Drehbettung auch in der Bestimmung der Schlankheit für Biegedrillknicken berücksichtigt wird. Zudem wird gezeigt, dass die bisher gültigen und im Nationalen Anhang der DIN EN 1993‐1‐1 enthaltenen Festlegungen zur Mindest‐Drehbettung zur Vermeidung von Biegedrillknicken ebenfalls für die Praxis ausreichend genau sind und in keinem Widerspruch zu den neu eingeführten Regelungen zum Biegedrillknicken stehen. Von der in prEN1993‐1‐1, Anhang D geplanten Verschärfung der Regelungen zur erforderlichen Mindest‐Drehbettung kann demnach abgesehen werden.
ISOLATION OF ASTRAGALIN FROM IRAQI CHENOPODIUM ALBUM

Objective: Chenopodium album L is the species of the genus chenopodium. The Greek name Chenopodium means goosefoot. The plant is native to Asia and Europe. The analysis of the constituents of the Iraqi plant was performed using gas chromatography and high-performance liquid chromatography techniques.Methods: Thin-layer chromatography (TLC) and high-performance TLC chromatographic techniques were used for the detection and isolation of the active constituent found in the plant. Spectral analysis such as nuclear magnetic resonance (NMR) and UV was used to confirm the chemical structure of the compound isolated.Results: Astragalin was isolated and identified by comparison with standard kaempferol 3-O-β-glucoside (astragalin) which was detected as the major glycoside in the polar fraction of the plant. Further, identification of the compound was performed by 1H-NMR spectroscopy.Conclusion: Astragalin is the major flavonoid glycoside found in the plant.
Extracting Potential New Targets for Treatment of Adenoid Cystic Carcinoma using Bioinformatic Methods

Background: Adenoid cystic carcinoma is a slow-growing malignancy that most often occurs in the salivary glands. Currently, no FDA-approved therapeutic target or diagnostic biomarker has been identified for this cancer. The aim of this study was to find new therapeutic and diagnostic targets using bioinformatics methods. Methods: We extracted the gene expression information from two GEO datasets (including GSE59701 and GSE88804). DEGs between ACC and normal samples were extracted using R software. The biochemical pathways involved in ACC were obtained by using the Enrichr database. PPI network was drawn by STRING, and important genes were extracted by Cytoscape. Real-time PCR and immunohistochemistry were used for biomarker verification. Results: After analyzing the PPI network, 20 hub genes were introduced to have potential as diagnostic and therapeutic targets. Among these genes, PLCG1 was presented as new biomarker in ACC. Furthermore, by studying the function of the hub genes in the enriched biochemical pathways, we found that IGF-1R/IR and PPARG pathways most likely play a critical role in tumorigenesis and drug resistance in ACC and have a high potential for selection as therapeutic targets in future studies. Conclusion: In this study, we achieved the recognition of the pathways involving in ACC pathogenesis and also found potential targets for treatment and diagnosis of ACC. Further experimental studies are required to confirm the results of this study.
Mechanism of cholesterol reduction to coprostanol by cholesterol reductase

The mechanism of biohydrogenation of cholesterol to coprostanol was studied by incubating Eubacterium sp. strain HL with [4-3H, 4_14C] -cholesterol as a mixture of a and J3 isomers. In a growth medium under anaerobic conditions, coprostanol isolated after incubation of [4-3H, 4_14C]_ cholesterol retained 97% of the tritium originally present in cholesterol. The main part of this tritium (64%) is in the C-6 position in coprostanol, showing that the conversion of cholesterol by Eubacterium HL into coprostanol involves the intermediate formation of 4-cholesten-3-one followed by reduction of the latter to coprostanol. Furthermore, [4-3H, 414C]-cholesterol and coprostanone were converted efficiently to coprostanol. Thus, these results support the hypothesis that the major pathway for biohydrogenation of cholesterol by Eubacterium HL involves the intermediate formation of 4cholesten-3-one followed by reduction of the latter to coprostanol.
Species-specific resource availability as potential correlates of foraging strategy in Atlantic Forest edge-living common marmosets

In seasonal environments, while some primates change their behavioural patterns according to the total food available, others associate it with plant-specific food availability. We recorded behavioural and ecological data from one marmoset group at the edge of a 522-ha Atlantic Forest fragment in order to verify the seasonal and between-year patterns. We collected behavioural and diet data via scan sampling for 9 months (3 months/season), and estimated the fruiting source density. Fruit resources were significantly more available in the 2012 dry season than the 2012 rainy and 2013 dry seasons. Overall, foraging and moving were the main activities, and fruits and exudates were the principal food items consumed. During the rainy season, the common marmosets devoted more time to eating fruits, increased the niche breadth and food source revisitation frequency, and used the forest’s middle-strata more often. When we compared between-year data, we found that common marmosets rested more frequently, fed more often on invertebrates and had a broader niche breadth in the 2012 dry season than in the 2013 dry season. The availability of specific fruit resources and invertebrates appeared to influence study group activity budget and diet. Variation in food availability may have reduced diet niche breadth and stratum use. Our study confirms the well-established flexibility of common marmosets, and demonstrates key aspects of their foraging strategy to survive in modified habitats.
Investigating the redundancy principle in immersive virtual reality environments: An eye-tracking and EEG study

Background: The increased availability of immersive virtual reality (IVR) has led to a surge of immersive technology applications in education. Nevertheless, very little is known about how to effectively design instruction for this new media, so that it would benefit learning and associated cognitive processing. Objectives: This experiment explores if and how traditional instructional design principles from 2D media translate to IVR. Specifically, it focuses on studying the underlying mechanisms of the redundancy-principle, which states that presenting the same information concurrently in two different sensory channels can cause cognitive overload and might impede learning. Methods: A total of 73 participants learned through a specifically-designed educational IVR application in three versions: (1) auditory representation format, (2) written representation format, and (3) a redundancy format (i.e. both written and auditory formats). The study utilized advanced psychophysiological methods of Electroencephalography (EEG) and eye-tracking (ET), learning measures and self-report scales. Results and Conclusions: Results show that participants in the redundancy condition performed equally well on retention and transfer post-tests. Similarly, results from the subjective measures, EEG and ET suggest that redundant content was not found to be more cognitively demanding than written content alone. Implications: Findings suggest that the redundancy effect might not generalize to VR as originally anticipated in 2D media research, providing direct implications to the design of IVR tools for education. 132729, 222, 1, D ow nladed from https:/inelibrary.w il.com /doi/101/jcal.12595 by U niersity L irary O f Sothern D nm ark, W ley O nline L irary on [17//2023]. ee he T rm s nd C onitions (https:linelibrary.w il.com /erm s-andnditions) on W ley O nline L irary or rles of use; O A aricles re goerned by he apicable C retive C om m ns L icnse Redundancy Principle in VR 3
Traditional vs. UV-Cured coatings – an inquiry-based experiment for introducing green chemistry

The aim of this article is to present a hands-on laboratory experiment, which enables students to become acquainted with the idea and some principles of green chemistry in the context of the manufacture and use of lacquers. Environmental concerns, particularly the regulations concerning Volatile Organic Compounds have resulted in a dramatic change in the coating markets and traditional solvent-based (SB) technologies are being replaced by new, environmentally friendly processes based on ultraviolet (UV) or electron beam (EB) curing. In this exercise, the technological processes of SB and UV lacquers production and application were simplified and adapted for a school laboratory. The obtained lacquers are fully functional products with repeatable, easily measurable properties, which depend on the composition directly. The proposed method in this exercise is based on guided inquiry, however, it may be realized in a more or less open form, depending on the teacher’s goals, needs, and preferences.
Comprehensive RNA-seq analysis revealed gene network associated with leaf morphogenesis in Vitis vinifera

ABSTRACT Leaf morphogenesis in Vitis vinifera is closely associated with the biosynthesis of various metabolites, starch, and growth-related molecules. In the present study, Illumina RNA deep sequencing-based on transcriptome analysis was deployed to understand leaf morphogenesis in Vitis vinifera. The KEGG pathway analysis revealed the transcripts involved in the biosynthesis of major metabolites leading to leaf growth. The highest number of DEGs were down-regulated at young leave-vs-mature leaves stages (3,501) followed by large leaves-vs-mature leaves (2,364); however, the minimum number of up-regulated transcripts were recorded at young leaves-vs-immature leaves (195). The gene regulation in the starch biosynthetic pathway, young leaves-vs-mature leaves showed the highest number of transcripts (24 up-regulated and 60 down-regulated). For ABC Transporters, 224 transcripts were expressed, among which the maximum number of transcripts (59) were recorded in large leaves-vs-mature leaves. Amino and nucleotide sugar metabolism showed 112 transcripts (22 up-regulated and 90 down-regulated), in which immature leaves-vs-mature leaves expressed 30 DEGs. In addition, Flavonoid pathway showed the highest number of transcripts i.e. 903 were expressed among the studied pathways. The findings of this study will also help to a better understanding of the underlying process during grape leaf morphogenesis and to unravel the mechanism.
Dynamic modeling for soft dielectric elastomer actuator considering different input frequencies and external loads

A dynamic model for the soft dielectric elastomer actuator (SDEA) is developed in this paper to describe its intricately nonlinear behaviors considering different input frequencies and external loads. Firstly, the characteristics of the SDEA are observed by several groups of experiments. A phenomenological model is proposed to describe the asymmetric hysteresis behavior of the SDEA, which consists of a Prandtl-Ishlinskii model with one-side play operator and a dead-zone model with one-side dead-zone operator. Meanwhile, a mathematical model is built to depict the creep behavior of the SDEA. The dynamic model including a module and a linear system is proposed to further handle the rate-dependent and the stress-dependent hysteresis behaviors of the SDEA, in which the module is the superposition of the asymmetric hysteresis model and the creep model. To ensure that the inverse solution of the module is existing, as well as the linear system is controllable and observable, the constraint conditions of parameter values of the dynamic model are constructed. Next, the parameter identification is divided into two steps, and the differential evolution algorithm is employed in each step. Finally, the generalization of the proposed dynamics model is demonstrated by comparing the model output with the experimental data.
Concentration of ‘Oblachinska’ sour cherry juice using osmotic distillation

Osmotic distillation is a kind of mass transfer driven membrane process where the driving force is the vapour pressure difference between two solutions. Similar that membrane distillation (MD) in case of OD is also used hyrdophobic, porous, polymeric membranes. For the osmotic distillation process usually high concentration of osmotic agent, mostly salt solution (NaCl, CaCl2, K2HPO4, Kacetate) or some kind of organic solutions (polyethyleneglycol, glycerol, etc.) is used which can keep and sustain very low value of vapour pressure during the process. These osmotic agents able to perform the suitable vapour pressure difference with the high concentration and low vapour pressure value between the two solutions (Bailey et al., 2000, Cassano et al., 2007; Gostoli et al., 1999; Hongvaleerat et al., 2008). OD process based on a phenomenon: between two aqueous solutions, which have different water activities a volatile compound stream occurs to equalize the vapour pressure different of the two solutions. In case of OD, a microporous hydrophobic membrane is present between these solutions which separates them from each other because of its hydrophobicity and surface energy. Thus, aqueous solutions cannot penetrate into the pores but volatile compound molecules (water) evaporate from the higher water activity liquid-vapour interface (liquid food side) across the pores by diffusion and condense at the lower water activity vapour-liquid interface (osmotic agent side). Figure 1 shows the flow sheet of the osmotic distillation process (Bélafi-Bakó et al., 2007; Courel et al., 2000;Mansuori et al., 1999; Thanedgunbaworn et al., 2007.) Low operating temperature (ambient temperature) and atmospheric pressure can be facilitated to concentrate diluted aqueous solutions, which contain valuable heat-sensitive compounds. In case of fruit juice production, several reports have suggested the applications and possibilities of osmotic distillation to replace high energy demand evaporation. Although the implementation of such a technique at an industrial scale is not yet realized, a variety of fruit juice concentrations was performed experimentally by using OD and showed the potential of osmotic distillation. Cassano & Drioli (2007) examined concentration of kiwi juice. Thanedgunbaworn et al. (2007) clarified passion fruit juice. Rodriges et al. (2004) concentrated camu-camu juice and Hongvaleerat et al. (2008) concentrated pineapple juice using osmotic distillation. Experimental results showed that
Gridless Compressed Sensing Based Channel Estimation for UAV Wideband Communications With Beam Squint

Unmanned aerial vehicle (UAV) has become an appealing solution for a wide range of commercial and civilian applications thanks to its high mobility and flexible deployment. Due to the continuous UAV navigation, the channels between UAV based arial base station (BS) and the ground users are subject to the Doppler effect. Meanwhile, when UAV is equipped with massive number of antennas in high frequency band such as mmWave and Tera Hertz (THz), the non-negligible propagation delay across the array aperture would cause beam squint effect. In this paper, we first investigate the channel under both Doppler effect and beam squint effect for UAV communications with large antenna array and high frequency band. Then, we design a gridless compressed sensing (GCS) based channel tracking method, where the high dimension uplink channel can be derived by estimating a few physical parameters such as the direction of arrival (DOA), Doppler shift, and the complex gain information. Besides, with the Doppler shift reciprocity and angular reciprocity, the downlink channel can be derived by only one pilot symbol, which greatly decreases the downlink channel training overhead. Various simulation results are provided to verify the effectiveness of the proposed methods.
H2AN: Hierarchical Homogeneity-Attention Network for Hyperspectral Image Classification

Recently, a self-attention network (SAN) is developed as an effective strategy to extract features from attention areas for image classification. However, for hyperspectral image (HSI), the lack of position supervision of object regions and inefficient similarity computation lead to unsatisfactory classification performance on mixed pixels. To alleviate the above two problems for HSI image classification, we propose a novel hierarchical homogeneity-attention network (H2AN) in this article. First, we design a homogeneity-attention block (HAB) to depict the feature correlation with the homogeneous mask. Using the supervision of homogeneity mask, we can calculate the attention guided by the predefined number of homogeneity embeddings, which can reduce the heavy computation instead of the global search in self-attention block (SAB) of SAN. Second, we propose a hierarchical convolutional neural network (HCNN) inserting the HAB into different levels of network cells for highly efficient feature extraction of target regions, named H2AN. Because of the transferring of homogeneity property from shallow layer to deep layer, our H2AN outperforms the state-of-the-art methods in qualitative and quantitative experiments on three typical datasets.
Solution-Oriented media management research: a framework to nurture future impact of the field

ABSTRACT This article assesses the ways in which media management research collaborates with companies in the fields of media & technology, marketing, and market research. It examines various modes of collaboration, and how they contribute towards a scholar-industry-collaboration with impact. Our conceptualization divides academic research into basic research, use-inspired, applied research and solution-oriented. Building furthermore on existing research across various fields in management studies we develop a novel framework for the assessment of scholar-industry-collaborations. To test our framework, we examine media management research output over the timespan of ten years – a total of 557 academic publications and 246 industry research publications enriched with additional data. We assigned each article to one of the four categories in our framework (basic, use-inspired, applied, solution-oriented), and then further examined them against more finely tuned content criteria to allow for further insights. The analysis of 803 studies revealed a low collaborative relationship between media management scholars and the industry. More strikingly, there is an obvious lack of solution-oriented research. We argue that solution-oriented research has significant potential to recalibrate media management research in scope and scale as its very purpose is to generate synergetic impact for both academia as well as society at large.
Earth Observation for Monitoring, Reporting, and Verification within Environmental Land Management Policy

The main aim of the new agricultural scheme, Environmental Land Management, in England is to reward landowners based on their provision of ‘public goods’ while achieving the goals of the 25 Year Environment Plan and commitment to net zero emission by 2050. Earth Observation (EO) satellites appear to offer an unprecedented opportunity in the process of monitoring, reporting, and verification (MRV) of this scheme. In this study, we worked with ecologists to determine the habitat–species relationships for five wildlife species in the Surrey Hills ‘Area of Outstanding Natural Beauty’ (AONB), and this information was used to examine the extent to which EO satellite imagery, particularly very high resolution (VHR) imagery, could be used for habitat assessment, via visual interpretation and automated methods. We show that EO satellite products at 10 m resolution and other geospatial datasets enabled the identification and location of broadly suitable habitat for these species and the use of VHR imagery (at 1–4 m spatial resolution) allowed valuable insights for remote assessment of habitat qualities and quantity. Hence, at a fine scale, we obtained additional habitats such as scrub, hedges, field margins, woodland and tree characteristics, and agricultural practices that offer an effective source of information for sustainable land management. The opportunities and limitations of this study are discussed, and we conclude that there is considerable scope for it to offer valuable information for land management decision-making and as support and evidence for MRV for incentive schemes.
Adversarial Prototype Learning for Hyperspectral Image Classification

In hyperspectral image (HSI) classification, the training set often contains a very limited number of high-dimensional samples, which can cause overfitting problems, especially in deep learning (DL) frameworks. This situation worsens when a bias exists between the feature distributions of the training and testing sets. In this article, we propose a novel method, referred to as adversarial prototype learning (APL), for learning an accurate HSI classification model in a uniform manner when the training set contains few, high-dimensional, and biased samples. APL consists of a prototype learning module (PLM) and an adversarial alignment module (AAM). The PLM aims to alleviate overfitting by training prototypical classifiers with a simple inductive bias in the initial feature space. The AAM aims to reduce the bias between the feature distributions of the training and testing sets using two adversarial prototypical classifiers learned by the PLM. Iteratively training the PLM and AAM results in alignment of the feature distributions between the training and testing sets while improving the generalization ability of the prototypical classifiers. The theoretical analysis indicates that APL is able to lower the upper error bound when classifying testing samples. We further apply APL in a DL framework to establish the adversarial prototypical network (APNet) architecture. Experimental results on four publicly available HSI datasets demonstrate that the proposed APNet alleviates overfitting, aligns the feature distributions between the training and testing sets, and achieves state-of-the-art performance.
Optimal-Transport-Based Control of Particle Swarms for Orbiting Rainbows Concept

Carlo Sinigaglia ∗ Polytechnic University of Milan, 20156 Milan, Italy Saptarshi Bandyopadhyay † Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA, 91109-8099,USA Marco Quadrelli ‡ Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA, 91109-8099,USA Francesco Braghin § Polytechnic University of Milan, 20156 Milan, Italy