Nature Of Interactions Research Articles

Research on Mixed Reality Hand Interaction Technology in Flight Simulation Teaching

Abstract The integration of mixed reality simulation training in institutional education and teaching processes can yield significant quality benefits. Non-wearable interactive methods represent a more natural form of hand interaction within flight cockpits, covering various emerging fields such as mixed reality, computer vision, and human-computer interaction. This paper is guided by a “human-centered” approach to natural human-computer interaction and proposes a virtual hand mixed reality interaction scheme based on hand natural feature points. This study introduces a hand detection, segmentation, and recognition algorithm based on skin colour and key hand feature points. Initially, the algorithm uses the Otsu adaptive threshold algorithm in the YCbCr space for skin colour detection to accommodate varying image brightness levels. Subsequently, it employs a hand Keypoint model for rapid hand detection within skin-like areas while excluding interference from other regions. During the process of hand tracking, optimization prediction is performed using the particle filter algorithm combined with the artificial fish swarm algorithm to achieve tracking accuracy within six pixels in both horizontal and vertical directions. Gesture recognition involves extracting Fourier descriptive contour features of the hand bone structure through identification of feature points. Furthermore, this study combines the optimization capabilities of the artificial fish swarm algorithm to enhance support vector machine model parameter optimization for improved recognition rates. Testing involved 800 processed images as part of a test set for gesture recognition; only five commonly used gestures within flight cockpits were recognized and classified with an accuracy rate reaching up to 98%. Finally, this research presents virtual representations of common operational gestures including natural hand states, control stick manipulation, and throttle handling positions, button activations, and rotational movements via head-mounted displays or screens. The proposed mixed reality-based hand gesture interaction system addresses challenges related to complex background interference during hand detection in cockpit environments as well as issues arising from lighting disturbances. Additionally it resolves problems associated with insufficient particles leading to tracking failures while significantly enhancing registration effects during tracking processes. Moreover it mitigates issues related to Fourier descriptive features being influenced by background variations or changes in pose along with limitations pertaining to expressing singular forms of gestures thereby improving overall classification accuracy.

An Expanded National Database for Natural Product Use and Interaction Assessment

An Expanded National Database for Natural Product Use and Interaction Assessment

Exploring Photophysical Properties of Organic Doped Polymeric Aggregates for Detecting Relevant Inorganic Pyrophosphate: A Pathway to Sustainable Development

Pyrophosphate (PPi) is an important environmentally and biologically relevant analyte and its easy and efficient detection is crucial for sustainable development. So, here we designed and synthesized organic-doped polymeric aggregates varying the signaling units (pyrene and anthracene) and examined their photophysical properties. By altering the signaling unit while keeping the polymeric backbone intact, we observed aggregate changes and studied their optical response with inorganic pyrophosphate (PPi). Among these probes, PYR-PEI exhibited a superior turn-off response(~6.1-fold) towards PPi in aqueous media whereas the other two probes ANH-PEI and PYR-PAH showed less response. The distinct response to PPi was primarily determined by electrostatic interaction and aggregate nature. The limit of detection (LOD) for PPi using the PYR-PEI probe was found to be 4.2 ppm, which is below the maximum allowable concentration of phosphate in surface water set by the World Health Organization (WHO) at 5mg/l. The quantification limit (LOQ) for PPi sensing was observed to be 14.27 ppm. Additionally, the PYR-PEI probe showed different fluorogenic responses (ratio-metric change) in the presence of anionic surfactant sodium dodecyl sulfate (SDS), and this resultant adduct was used for the PPi detection. The formation of premicellar aggregates between them drove the difference in the fluorogenic response with PYR-PEI and surfactant. Then the PYR-PEI composite was employed to detect PPi in spiked soil solution. Finally, chemically modified paper strips were prepared for the easy, fast, and on-location detection of PPi present in real-life samples.

New approaches for screening grape seed peptides as colourimetric modulators by malvidin-3-O-glucoside stabilisation

The colour of red wine is due to the presence of anthocyanins and their derived pigments, with malvidin-3-O-glucoside being the most predominant. Due to their chemical conformation, anthocyanins are susceptible to several conditions and have limited stability. Through copigmentation processes, anthocyanins can interact non-covalently with other molecules to enhance their stability. As a natural source of proteins and peptides, grape seeds are of particular interest because they may be of significant techno-functional value in the modulation of wine quality characteristics, such as acting as copigments to enhance colour stability. The proposed methodology allowed predicting in-depth insights into the molecular-level nature of interaction between the identified peptides when complexed with malvidin 3-O-glucoside and their colour stabilising properties. Thereby, allowing a prior screening in silico to facilitate their future application in experimental assays, such as obtaining the tested peptides with the characteristics already studied by means of grape seed meal directed hydrolysis.

The Effect of Metoclopramide on the Antinociceptive, Locomotor and Neurobehavioral Effects of Metamizole in Mice

Abstract Combining analgesic medications with distinct pharmacodynamics may result in effective analgesia and reduced adverse effects by lowering dosages of one or both medications. The objective was to investigate the nature of interactions of metoclopramide and metamizole by measuring the antinociceptive and neurobehavioral effects in mice. The drugs were administered intraperitoneally (ip) in mice. The antinociceptive effect was determined by the up-and-down method. Isobolographic analysis was performed by simultaneous injection of the two drugs at ED50 ratios of 1:1 and 0.5:0.5. The treated mice were also subjected to an open-field behavioral test as well as dorsal immobility and negative geotaxis behavioral paradigms. The ED50 of metoclopramide and metamizole were 33.71 and 43 mg/kg ip, respectively. Lower ED50 was established for metoclopramide and metamizole by 48.44% and 47.49%, respectively when given at a ratio of 0.5:0.5, and by 35.81% and 29.88%, respectively at a ratio of 1:1. The combined dose of metoclopramide and metamizole (8 and 10 mg/kg, ip, respectively) significantly decreased the open field-activity test in mice. This was observed by lower number of squares crossing compared to the control. Additionally, the drug combination resulted in a substantial increase in the duration of dorsal immobility response and delayed the negative geotaxis task when compared with the control group. The results indicated that the interaction between metoclopramide and metamizole in lower dose ratio with ED50 50:50, was synergistic in producing analgesia in mice with reduced risk for adverse reaction but with decreased behavioral and motor neuronal activity.

Transformative Earth stewardship: Principles for shaping a sustainable future for nature and society

AbstractEarth stewardship is the proactive shaping of pathways of social‐ecological change to enable people and nature to thrive. Its strategy is to identify and shape sustainable pathways of human–nature interaction. I describe three Earth stewardship approaches to addressing global changes. Two of these (resisting unfavorable change; accepting and adapting to change) are well‐accepted approaches to conservation and sustainability. The third (transformative Earth stewardship to escape unsustainable traps) is more challenging but can sometimes overcome seemingly insurmountable barriers. It can be triggered by a change in vision for society, changes in feedbacks such as social norms and incentives, or engagement of influential actors or institutions. The innovation necessary to trigger profound transformation often requires transdisciplinary perspectives that draw on multiple knowledge systems, modes of communication, and sectors of society.

Improving working memory by electrical stimulation and cross-frequency coupling

Working memory (WM) is essential for the temporary storage and processing of information required for complex cognitive tasks and relies on neuronal theta and gamma oscillations. Given the limited capacity of WM, researchers have investigated various methods to improve it, including transcranial alternating current stimulation (tACS), which modulates brain activity at specific frequencies. One particularly promising approach is theta-gamma peak-coupled-tACS (TGCp-tACS), which simulates the natural interaction between theta and gamma oscillations that occurs during cognitive control in the brain. The aim of this study was to improve WM in healthy young adults with TGCp-tACS, focusing on both behavioral and neurophysiological outcomes. Thirty-one participants completed five WM tasks under both sham and verum stimulation conditions. Electroencephalography (EEG) recordings before and after stimulation showed that TGCp-tACS increased power spectral density (PSD) in the high-gamma region at the stimulation site, while PSD decreased in the theta and delta regions throughout the cortex. From a behavioral perspective, although no significant changes were observed in most tasks, there was a significant improvement in accuracy in the 14-item Sternberg task, indicating an improvement in phonological WM. In conclusion, TGCp-tACS has the potential to promote and improve the phonological component of WM. To fully realize the cognitive benefits, further research is needed to refine the stimulation parameters and account for individual differences, such as baseline cognitive status and hormonal factors.

Development of Static Fluid Demonstrators: Hydraulic Bridge to Improve Laboratory Skills

Abstract This research aims to develop a hydraulic bridge as a static fluid material prop. The development of these teaching aids focuses on improving students’ laboratory skills. This research is based on the need for students to have practical experience in the laboratory. This developed hydraulic bridge prop is expected to strengthen mastery of concepts in static fluid materials and improve students’ laboratory skills. The research method used is research and development with the resulting product in the form of hydraulic bridge props. Quantitative analysis techniques are used to measure the feasibility and effectiveness of teaching aids that have been developed, as well as to improve students’ laboratory skills. The results showed that the hydraulic bridge trainers that have been developed have excellent feasibility and effectiveness. The results showed a positive relationship between using hydraulic bridge props and improving student laboratory capabilities. The interactive nature of the developed teaching aids enhances technical abilities and fosters students’ critical thinking, problem-solving, and teamwork skills. This study concluded that the teaching aids in the form of hydraulic bridges that had been developed proved feasible and effective and were able to improve students’ laboratory skills. The implications of this research extend to curriculum improvement and advocating for the integration of practical teaching aids, such as hydraulic bridges, to optimize student learning outcomes. Future directions include improving the implementation of hydraulic bridges across engineering disciplines and conducting longitudinal studies to assess its long-term impact on student’s academic and professional development.

A Survey on Reinforcement Learning for Recommender Systems.

Recommender systems have been widely applied in different real-life scenarios to help us find useful information. In particular, reinforcement learning (RL)-based recommender systems have become an emerging research topic in recent years, owing to the interactive nature and autonomous learning ability. Empirical results show that RL-based recommendation methods often surpass supervised learning methods. Nevertheless, there are various challenges in applying RL in recommender systems. To understand the challenges and relevant solutions, there should be a reference for researchers and practitioners working on RL-based recommender systems. To this end, we first provide a thorough overview, comparisons, and summarization of RL approaches applied in four typical recommendation scenarios, including interactive recommendation, conversational recommendation, sequential recommendation, and explainable recommendation. Furthermore, we systematically analyze the challenges and relevant solutions on the basis of existing literature. Finally, under discussion for open issues of RL and its limitations of recommender systems, we highlight some potential research directions in this field.

John Williams to Non-Williams

John Williams may have dominion over the Star Wars film scores with eighteen hours of music across nine films, but the mantle of responsibility for the Star Wars musical canon en masse has been undertaken by scores of many different composers, especially video game composers. Scholars of John Williams’s music such as Frank Lehman have analyzed Williams’s nine film scores, but there has been little research into the more than 100 Star Wars video game scores, which raises the question: how has Star Wars music developed without the guidance of its progenitor John Williams? Frank Lehman’s “Complete Catalogue of the Themes of Star Wars: A Guide to John Williams’s Musical Universe”1 cataloged the themes, motifs, source music, and thematic relationships of the nine films and proved musicologically insightful as well as incredibly useful when one seeks an understanding of the intricacies of Williams’s Star Wars film scores. Lehman’s research provides an ideal foundation for the ludomusicological inquisition of the hundred plus Star Wars game scores. The interactive nature of gaming mandates that the scores take player input into consideration leading to many unique methods of musical deployment that have changed from game to game. This research preludes the creation of a Star Wars sound and music anthology, similar to the Norton Anthology of Western Music, where ludomusicality found within scores from video games in the Star Wars universe are analyzed, cataloged, and explored. Each game/series would get its own unique catalog within the greater anthology consisting of a collection of analyses of the motifs, themes, and anything else of particular ludomusical interest. This poster presents a preliminary analysis of the deployment of motifs in the video games Star Wars Chess (1993) and Star Wars: X-Wing (1993), the first steps taken toward cataloging these video game scores. This proposed catalog will include analyses of ludomusicality within the Star Wars video game scores, showing how the player and computer interact to customize the listening experience of original and borrowed themes from the Star Wars movies. Combining Lehman’s method of cataloging with methods of ludomusicological analysis2 will be useful for understanding the plethora of themes, motifs, source music, thematic relationships, lyrics, diegetic music, and ludomusical methods found within the scores of each game. To present an example of this combination of analyses, Lehman’s motifs (denoted by quotation marks) are presented in combination with original analyses and transcription by the author, demonstrating the overlap between the musical material of the Star Wars movies and video games. This series of catalogs would be an excellent resource for all future Star Wars ludomusicological research as well as further expanding the literature in the field.

Spatial interactions modulate tumor growth and immune infiltration

Direct observation of tumor-immune interactions is unlikely in tumors with currently available technology, but computational simulations based on clinical data can provide insight to test hypotheses. It is hypothesized that patterns of collagen evolve as a mechanism of immune escape, but the exact nature of immune-collagen interactions is poorly understood. Spatial data quantifying collagen fiber alignment in squamous cell carcinomas indicates that late-stage disease is associated with highly aligned fibers. Our computational modeling framework discriminates between two hypotheses: immune cell migration that moves (1) parallel or (2) perpendicular to collagen fiber orientation. The modeling recapitulates immune-extracellular matrix interactions where collagen patterns provide immune protection, leading to an emergent inverse relationship between disease stage and immune coverage. Here, computational modeling provides important mechanistic insights by defining a kernel cell-cell interaction function that considers a spectrum of local (cell-scale) to global (tumor-scale) spatial interactions. Short-range interaction kernels provide a mechanism for tumor cell survival under conditions with strong Allee effects, while asymmetric tumor-immune interaction kernels lead to poor immune response. Thus, the length scale of tumor-immune interaction kernels drives tumor growth and infiltration.

Longitudinal Study on the Pragmatic Language Skills during Play Activities in Preschool Children Who Stutter and Who do not Stutter

Objectives: This study aimed to investigate whether there are any differences in pragmatic language skills between preschool children who stutter (hereafter, CWS) and those who do not stutter (hereafter, CWNS) in natural play interactions with their parents. Additionally, the study sought to examine the relationship between pragmatic language skills and children’s stuttering. Methods: 7 CWNS and 7 CWS aged 2-5 years, and their parents participated in the study. In a total of three times at 12-month intervals, their interactions during play activities were collected to analyze abnormal disfluency (AD), normal disfluency (ND) frequency, and pragmatic language skills (initiation utterance of child, initiation of utterance of mother and utterance turn-taking). Between-group comparisons of variables were made by collection period (initial evaluation, 12 months later, 24 months later). Results: First, the AD frequency of the CWS group was statistically significantly higher than that of the CWNS group at the initial evaluation and at 12 months, and there was no significant difference between the two groups at 24 months. Second, the frequency of initiation of utterance in CWNS group was significantly higher than that of the CWS group in the initial evaluation. At 12 months and 24 months, children with stutter had a similar degree of initiation of utterance as that of typical children. Third, there was no significant difference between the CWS and CWNS group in utterance turn-taking. The difference in the frequency of utterances and turn-taking between CWS and CWNS group tended to increase over time. Conclusion: These findings confirmed that stuttering in children is influenced by their pragmatic language skills. This suggests the need for parent-child interaction and parental education programs that enhance children’s pragmatic language skills, which may positively impact fluency in CWS.

The Development of Geo-Math Application by Integrating Geo-Gebra Applets to Improve Students’ Spatial Ability

Geometry can be challenging for students due to its abstract nature; The difficulty is often associated with low spatial abilities; to overcome these challenges, educators can employ dynamic and visual learning approaches to help students learn and understand geometric concepts more effectively. This study aimed to develop a Geo Math application by integrating the GeoGebra applets on geometry that fulfill valid, practical, and effective aspects that are expected to improve spatial abilities. This research utilized development research using the ADDIE model, which consists of 5 stages: analysis, design, development, and trial implementation. It went through several trial stages consisting of validation experts, one-to-one trials, and small group trials, and the evaluation stage was carried out through a pre-post-test quasi-experimental study. Based on the results, it can be concluded that the Geo Math application was very feasible to support the implementation of learning mathematics, especially in learning geometric transformations, which could assist students in constructing concepts from various transformations effectively. The interactive and dynamic nature of GeoGebra applets within the application allowed students to visualize and manipulate geometric objects and could make abstract mathematical concepts more concrete and accessible, which could improve students’ spatial abilities.

Crystal Structure, Supramolecular Organization, Hirshfeld Analysis, Interaction Energy, and Spectroscopy of Two Tris(4-aminophenyl)amine-Based Derivatives

The use of tris(4-aminophenyl)amine (TAPA) as central to the synthesis of both polyimines and polyimides and covalent organic frameworks and inorganic cages, among others, has grown in the last few years. The resulting materials exhibit high performance in their area of application. In this contribution, the crystal structures of two TAPA derivatives, triethyl (nitrilotris(benzene-4,1-diyl))tricarbamate (1) and triethyl 2,2′,2″-((nitrilotris(benzene-4,1-diyl))tris(azanediyl))tris(2-oxoacetate) (2), are described. The molecular and supramolecular structures of both compounds were compared between them and with analogous compounds. The analyses of their vibrational and 13C-CPMAS NMR spectroscopies, as well as their thermal stability, were included and corelated with the crystal structure. Hirshfeld surface analysis on the crystal structures of both TAPA derivatives revealed the stabilization of the crystal network via the amide N—H∙∙∙O interactions of dispersive nature in the carbamate, whereas dispersive carbonyl–carbonyl interactions also played a competitive role in the supramolecular arrangement of the oxamate. Interaction energy DFT calculations performed at the B3LYP/6-31G(d,p) level allowed us to estimate the energy contributions and nature of several interactions in terms of the stability of both crystal lattices.

Sugar-Coated: Can Multivalent Glycoconjugates Improve upon Nature's Design?

Multivalent interactions between receptors and glycans play an important role in many different biological processes, including pathogen infection, self-recognition, and the immune response. The growth in the number of tools and techniques toward the assembly of multivalent glycoconjugates means it is possible to create synthetic systems that more and more closely resemble the diversity and complexity we observe in nature. In this Perspective we present the background to the recognition and binding enabled by multivalent interactions in nature, and discuss the strategies used to construct synthetic glycoconjugate equivalents. We highlight key discoveries and the current state of the art in their applications to glycan arrays, vaccines, and other therapeutic and diagnostic tools, with an outlook toward some areas we believe are of most interest for future work in this area.

The role of Aspergillus flavus in modulating the physiological adjustments of sunflower to elevated CO2 and temperature

Exploring the interactions between plants and foliar endophytic fungi under varying climatic conditions is crucial for harnessing endophytes that enhance plant resilience to environmental stressors. This study examines the role of a specific strain of Aspergillus flavus as an endophyte in sunflowers under standard and altered CO2 and temperature regimes. We assessed the impact of this fungus on physiological traits such as chlorophyll and flavonoid content, gas exchange, and Chlorophyll a fluorescence using open-top chambers simulating ambient (∼420 µmol mol−1) and elevated (∼880 µmol mol−1) CO2 levels, along with a temperature increase of 3°C. The findings indicate that A. flavus promotes nitrogen assimilation and chlorophyll production under ambient conditions, potentially enhancing sunflower growth and photosynthetic performance. However, under elevated temperatures (eT), inoculation with A. flavus resulted in decreased biomass and reduced Photosystem II efficiency. Elevated CO2 (eCO2) conditions also led to unexpected negative effects, with reductions in foliar nitrogen, leaf area, and light capture efficiency, culminating in diminished biomass. When both elevated CO2 and temperature conditions were combined (eCO2eT), the interaction further impaired Photosystem II efficiency, suggesting exacerbated physiological stress. These results demonstrate that environmental modifications can transform A. flavus from a beneficial endophyte to a potential pathogen, highlighting the dual nature of plant-fungal interactions. This study underscores the complexity of these relationships under changing climatic conditions and suggests a cautious approach to the agricultural use of endophytes to ensure plant health and productivity.

RETRACTED ARTICLEResearch Progress on 2D Human Pose Estimation Based on Deep Learning

Human pose estimation (HPE) is a significant area of study within computer vision and artificial intelligence, which locates the position and pose of human joints through images or videos. HPE has advanced progress in computer vision and deep learning fields at the theoretical level, improved the efficiency and accuracy of neural networks, and supported the development of natural and efficient human-computer interaction systems. At the application level, HPE has extensive value in many fields, including security monitoring, motion analysis and health management, VR&AR, robotics technology, film and television production and animation, intelligent driving and assisted driving. This paper divides 2D HPE tasks into three categories: two-stage (top-down and bottom-up), single-stage, and other improvement strategies (Transformer-based methods and post-processing optimization methods). Although deep learning-based pose estimation algorithms have achieved remarkable results, they still face challenges, such as prediction in complex scenes, crowd and joint occlusion problems, and lightweight design of models. Future work should pay more attention to these challenges and extend pose estimation technology from 2D to 3D contexts.

Measurement of the background in the CMS muon detector in pp\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${p}{p}$$\\end{document}-collisions at s=13\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\sqrt{s} = 13$$\\end{document} TeV\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\,\ ext {Te}\\hspace{-.08em}\ ext {V}$$\\end{document}

The CMS detector, including its muon system, has been operating at the CERN LHC in increasingly challenging conditions for about 15 years. The muon detector was designed to provide excellent triggering and track reconstruction for muons produced in proton–proton collisons at an instantaneous luminosity (L\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\mathcal {L}$$\\end{document}) of 1×1034\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$1 \ imes 10^{34}$$\\end{document} cm-2\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$^{-2}$$\\end{document}s-1\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$^{-1}$$\\end{document}. During the Run 2 data-taking period (2015–2018), the LHC achieved an instantaneous luminosity of twice its design value, resulting in larger background rates and making the efficient detection of muons more difficult. While some backgrounds result from natural radioactivity, cosmic rays, and interactions of the circulating protons with residual gas in the beam pipe, the dominant source of background hits in the muon system arises from proton–proton interactions themselves. Charged hadrons leaving the calorimeters produce energy deposits in the muon chambers. In addition, high-energy particles interacting in the hadron calorimeter and forward shielding elements generate thermal neutrons, which leak out of the calorimeter and shielding structures, filling the CMS cavern. We describe the method used to measure the background rates in the various muon subsystems. These rates, in conjunction with simulations, can be used to estimate the expected backgrounds in the High-Luminosity LHC. This machine will run for at least 10 years starting in 2029 reaching an instantaneous luminosity of L=5×1034cm-2s-1\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\mathcal {L} = 5 \ imes \ ext {10}^\ ext {34}\\,\ ext {cm}^\ ext {-2}\\,\ ext {s}^\ ext {-1}$$\\end{document} and increasing ultimately to L=7.5×1034cm-2s-1\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\mathcal {L} = 7.5 \ imes \ ext {10}^\ ext {34}\\,\ ext {cm}^\ ext {-2}\\,\ ext {s}^\ ext {-1}$$\\end{document}. These background estimates have been a key ingredient for the planning and design of the muon detector upgrade.

What Can Interaction Mediate? An Alternative Model for Analysing Interaction in Multilingual Learning

In this review article, we propose Social Network Analysis (SNA) as an alternative model for analysing interactions within diverse educational contexts. Emphasising the capacity of SNA to reveal unexpected results through the exploration of social ties, we discuss its application in understanding the dynamics of multilingual and multicultural educational settings. Drawing on a range of studies, we showcase how SNA transcends traditional methodologies, shifting the focus from predetermined goals to the holistic examination of relational ties and network structures. Specifically, by delving into the intricacies of social interactions, SNA provides nuanced insights that contribute significantly to our understanding of complex social phenomena. As researchers navigate the ever-evolving landscape of interaction analysis, this paper advocates for the adoption of SNA as an alternative tool that complements traditional approaches, offering a fresh perspective on the multifaceted nature of human interactions.

WDR5 Binding to Histone Serotonylation Is Driven by an Edge-Face Aromatic Interaction with Unexpected Electrostatic Effects.

Histone serotonylation has emerged as a key post-translational modification. WDR5 preferentially binds to serotonylated histone 3 (H3), and this binding event has been associated with tumorigenesis. Herein, we utilize genetic code expansion, structure-activity relationship studies, and computation to study an edge-face aromatic interaction between WDR5 Phe149 and serotonin on H3 that is key to this protein-protein interaction. We find experimentally that this edge-face aromatic interaction is unaffected by modulating the electrostatics of the face component but is weakened by electron-withdrawing substituents on the edge component. Overall, these results elucidate that this interaction is governed by van der Waals forces as well as electrostatics of the edge ring, a result that clarifies discrepancies among previous theoretical models and model system studies of this interaction type. This is the first evaluation of the driving force of an edge-face aromatic interaction at a protein-protein interface and provides a key benchmark for the nature of these understudied interactions that are abundant in the proteome.