Ubiquitous Interaction Research Articles

Microgesture ＋ Grasp: A journey from human capabilities to interaction with microgestures

Microgestures, i.e. fast and subtle finger movements, have shown a high potential for ubiquitous interaction. However, work to-date either focuses on grasp contexts (holding an object) or on the free-hand context (no held object). These two contexts influence the microgestures feasibility. Researchers have created sets of microgesture feasible across the entire taxonomy of everyday grasps, called transferable microgestures. However, those sets include a limited number of microgestures as compared to those for the free-hand context, for which microgestures are distinguished according to fine characteristics such as the part of the finger being touched or the number of fingers used. We provide knowledge and methods for identifying and recognizing microgestures that can transfer across contexts. First, we report a study on ergonomics factors that influence the feasibility of a microgesture in a given context. Then, we propose a conceptual model serving as a tool to determine the feasibility of a microgesture in a given context without the need for time-consuming user studies. As expected, not all microgestures were transferable to all considered contexts. Thus, we then expose two different ways of defining a set of microgestures transferable between free-hand and grasping contexts. Finally, we report a user study on recognition factors of a transferable microgesture set.

Cosmological correlators with double massive exchanges: bootstrap equation and phenomenology

Using the recently developed cosmological bootstrap method, we compute the exact analytical solution for the seed integral appearing in cosmological correlators with double massive scalar exchanges. The result is explicit, valid in any kinematic configuration, and free from spurious divergences. It is applicable to any number of fields’ species with any masses. With an appropriate choice of variables, the results contain only single-layer summations. We also propose simple approximate formulas valid in different limits, enabling direct and instantaneous evaluation. Supported by exact numerical results using CosmoFlow, we explore the phenomenology of double massive exchange diagrams. Contrary to single-exchange diagrams with ubiquitous Lorentz-covariant interactions, the size of the cubic coupling constant can be large while respecting perturbativity bounds. Because of this property, the primordial bispectrum from double-exchange diagrams can be as large as, coincidentally, current observational constraints. In addition to being sizable on equilateral configurations, we show that the primordial bispectrum exhibits a large cosmological collider signal in the squeezed limit, making the double massive exchanges interesting channels for the detection of massive primordial fields. We propose to decisively disentangle double-exchange channels from single-exchange ones with cosmological observations by exploiting the phase information of the cosmological collider signal, the inflationary flavor oscillations from multiple fields’ species exchanges and the double soft limit in the primordial trispectrum.

Negotiation strategies in ubiquitous human-computer interaction: a novel storyboards scale & field study

Negotiation strategies in ubiquitous human-computer interaction: a novel storyboards scale & field study

A van der Waals Model of Solvation Thermodynamics.

Exploiting the van der Waals model of liquids, it is possible to derive analytical formulas for the thermodynamic functions governing solvation, the transfer of a solute molecule from a fixed position in the ideal gas phase to a fixed position in the liquid phase. The solvation Gibbs free energy change consists of two contributions: (a) the high number density of all liquids and the repulsive interactions due to the basic fact that each molecule has its own body leading to the need to spend free energy to produce an appropriate cavity to contain the solute molecule; (b) the ubiquitous intermolecular attractive interactions lead to a gain in free energy for switching-on attractions between the solute molecule and neighboring liquid molecules. Also the solvation entropy change consists of two contributions: (a) there is an entropy loss in all liquids because the cavity presence limits the space accessible to liquid molecules during their continuous translations; (b) there is an entropy gain in all liquids, at room temperature, due to the liquid structural reorganization as a response to the perturbation represented by solute addition. The latter entropy contribution is balanced by a corresponding enthalpy term. The scenario that emerged from the van der Waals model is in qualitative agreement with experimental results.

Universal cold RNA phase transitions

RNA's diversity of structures and functions impacts all life forms since primordia. We use calorimetric force spectroscopy to investigate RNA folding landscapes in previously unexplored low-temperature conditions. We find that Watson-Crick RNA hairpins, the most basic secondary structure elements, undergo a glass-like transition below [Formula: see text]C where the heat capacity abruptly changes and the RNA folds into a diversity of misfolded structures. We hypothesize that an altered RNA biochemistry, determined by sequence-independent ribose-water interactions, outweighs sequence-dependent base pairing. The ubiquitous ribose-water interactions lead to universal RNA phase transitions below TG, such as maximum stability at [Formula: see text]C where water density is maximum, and cold denaturation at [Formula: see text]C. RNA cold biochemistry may have a profound impact on RNA function and evolution.

The effect of tethered bi-naphthyls on visible-light promoted alkene-alkene [2 + 2] cycloadditions

Dispersion interactions are ubiquitous weak interactions that can play a role in many chemical events. Tailor-made catalysts and additives can lead to more selective reactions by properly exploiting dispersion interactions. Although radical-π dispersion interactions are known to have an important stabilizing role, this concept has been so far overlooked in synthetic photochemistry. We recently proved that similar dispersion interactions can play a profound impact on several reactions involving an energy transfer step. We present herein a study on the co-catalytic effect of tethered bi-naphthyl derivatives on the visible-light-promoted alkene-alkene [2 + 2] cycloaddition. A library of tethered bi-naphthyl derivatives was prepared in order to evaluate the impact of the tether on the efficiency of the prototypical [2 + 2] cycloaddition. The best performing additives showed a dramatic effect on the efficiency of the cyclization, and a rationalization of their relative efficiency was carried out through DFT modeling. The best co-catalyst allowed one to isolate desired products in good to excellent yields even employing several challenging substrates. These results offer new tools to devise optimized [2 + 2] photocycloaddition methods and provide valuable information for the design of organic co-catalyst that can boost photochemical reactions by exploiting dispersion interactions.Graphical abstract

Physiological processes underpinning the ubiquitous benefits and interactions of melatonin, butyrate and green tea in neurodegenerative conditions

There is a growing dissatisfaction at the lack of progress in treating neurodegenerative conditions, such as Alzheimer’s disease, Parkinson’s disease and amyotrophic lateral sclerosis. No current pharmaceuticals have any significant impact on the pathophysiological changes occurring in such neurodegenerative conditions. More promising has been the utilization of nutraceuticals, a number of which show preventative and treatment benefits. This article reviews the beneficial effects of melatonin, sodium butyrate and epigallocatechin gallate (EGCG) in the management of the pathophysiological changes underpinning neurodegenerative conditions. It is proposed that all three nutraceuticals upregulate the tryptophan-melatonin pathway, which may be particularly important in astrocytes given astrocyte regulation of neuronal energy supply and antioxidants, including released melatonin. Alterations in the tryptophan-melatonin pathway are intimately intertwined with changes in the kynurenine pathway and its neuroregulatory products, including kynurenic acid and quinolinic acid. This article places these changes in the tryptophan-melatonin pathways within a novel circadian-systemic interaction, involving the regulation of the night-time rise in cortisol culminating in the morning cortisol awakening response that mediates effects via glucocorticoid receptor (GR) activation. The night-time and morning GR activation is suppressed by melatonin, gut microbiome derived butyrate and bcl2-associated athanogene (BAG)-1. As melatonin, butyrate and BAG-1 decrease over age, there is a heightened level of GR nuclear translocation with age at night and early morning. This is exemplified by the 10-fold decrease in pineal melatonin in people in their 9th, versus 2nd, decade of life. The ‘battle’ of melatonin/butyrate/EGCG versus cortisol/GR for influence on cellular function, microenvironment homeostasis and systemic system (immune) regulation at night and early morning shapes how the body and brain are prepared for the coming day and drives the emergence of aging associated neurodegenerative conditions. It is upon such processes that melatonin, butyrate and EGCG have their impacts.

Possible design/fabrication of a soft biomimetic magic (flying) carpet made with Ionic Polymer Metal Composites (IPMCs)

A novel design of an artificial soft robot similar to the motions of a magic carpet is presented. Reported in the planning, designing, and fabricating of a biomimetic magic (flying) carpet made with ionic polymer metal composites (IPMCs). A new family of IPMC sensors and actuators is proposed to be used as a flexible plate and a flexible carpet to form a biomimetic flexible soft sensor and actuator system. The magic carpets made with IPMCs will be experimentally capable of bending, rolling, turning, twisting, and simultaneous sensing. However, their sensing characteristics as a soft biomimetic magic carpet feedback sensor are shown to have great potential for ubiquitous robot-human interactions (RHI). Upon various types of deformation, they are shown to generate unique output voltage signals and transient currents to be correlated to the actual magic carpet feedback force. Furthermore, a flexible sheet of IPMC can be actuated simultaneously on the fly by a small power supply embedded in the magic carpet. The magic carpet version of IPMC can be applied as smart skin to develop human-like dexterous and soft manipulation.

A few words about environment, environmental pollution and environmental victimology

The environment is everything that surrounds us. The environment is subject to constant changes that can be caused by natural factors such as soil erosion, earthquakes, floods, fires, and anthropogenic factors such as urbanization, industry, traffic, population growth, the accumulation of waste, and others. Due to the ubiquitous interaction of man in the environment, most often without respecting the natural rhythm in nature, man changes the environment with a harmful effect on biological and landscape diversity and often with negative consequences for human health and quality of life. By neglecting the environment in favor of economic growth and development, man has changed the environment more than any other biological species in a relatively short time with such irresponsible behavior. The consequences of such actions are unsustainable and call into question the future of that same environment. Therefore, protecting and preserving the environment in all spheres of life and work on the basis of sustainability becomes the biggest challenge for modern man and society as a whole.

Rearing zombie flies: Laboratory culturing of the behaviourally manipulating fungal pathogen Entomophthora muscae

Insect pathogenic fungi (IPF) and insects have ubiquitous interactions in nature. The extent of these interkingdom host-pathogen interactions are both complex and diverse. Some IPF, notably of the order Entomophthorales, manipulate their species-specific host before death. The fungus-induced altered insect behaviours are sequential and can accurately be repeatedly characterised temporally, making them a valuable model for understanding the molecular and chemical underpinnings of behaviour and host-pathogen co-evolutionary biology. Here, we present methods for the isolation and laboratory culturing of the emerging behaviourally manipulating model IPF Entomophthora muscae for experimentation.•E. muscae isolation and culturing in vitro.•Establishing and maintaining an E. muscae culture in vivo in houseflies (Musca domestica).•Controlled E. muscae infections for virulence experiments and quantification of conidia discharge per cadaver.

Diversity of short linear interaction motifs in SARS-CoV-2 nucleocapsid protein.

Short linear motifs (SLiMs) are 3-10 amino acid long binding motifs in intrinsically disordered protein regions (IDRs) that serve as ubiquitous protein-protein interaction modules in eukaryotic cells. Through molecular mimicry, viruses hijack these sequence motifs to control host cellular processes. It is thought that the small size of SLiMs and the high mutation frequencies of viral IDRs allow rapid host adaptation. However, a salient characteristic of RNA viruses, due to high replication errors, is their obligate existence as mutant swarms. Taking advantage of the uniquely large genomic database of SARS-CoV-2, here, we analyze the role of sequence diversity in the presentation of SLiMs, focusing on the highly abundant, multi-functional nucleocapsid protein. We find that motif mimicry is a highly dynamic process that produces an abundance of motifs transiently present in subsets of mutant species. This diversity allows the virus to efficiently explore eukaryotic motifs and evolve the host-virus interface.

“Intelligent Heuristics Are the Future of Computing”

Back in 1988, the partial game trees explored by computer chess programs were among the largest search structures in real-world computing. Because the game tree is too large to be fully evaluated, chess programs must make heuristic strategic decisions based on partial information, making it an illustrative subject for teaching AI search. In one of his lectures that year on AI search for games and puzzles, Professor Hans Berliner—a pioneer of computer chess programs 1 —stated: As a student in the field of the theory of computation, I was naturally perplexed but fascinated by this perspective. I had been trained to believe that “Algorithms and computational complexity theory are the foundation of computer science.” However, as it happens, my attempts to understand heuristics in computing have subsequently played a significant role in my career as a theoretical computer scientist. I have come to realize that Berliner’s postulation is a far-reaching worldview, particularly in the age of big, rich, complex, and multifaceted data and models, when computing has ubiquitous interactions with science, engineering, humanity, and society. In this article, 2 I will share some of my experiences on the subject of heuristics in computing, presenting examples of theoretical attempts to understand the behavior of heuristics on real data, as well as efforts to design practical heuristics with desirable theoretical characterizations. My hope is that these theoretical insights from past heuristics—such as spectral partitioning, multilevel methods, evolutionary algorithms, and simplex methods—can shed light on and further inspire a deeper understanding of the current and future techniques in AI and data mining.

S-UbiTap: Leveraging Acoustic Dispersion for Ubiquitous and Scalable Touch Interface on Solid Surfaces

As various computing devices, such as smartphones, IoT devices, smart speakers etc, becomes omnipresent in our daily lives, interest in ubiquitous computing interfaces is increasing. In response to this, various studies have introduced on-surface input techniques that leverage the surface of surrounding objects as touch interfaces. However, most of them struggle to support ubiquitous interaction due to their dependency on specific hardware or environments. In this work, we propose SUbiTap, an input method that turns any flat solid surface into a touch input space by listening to sound (i.e., with microphones already present in the commodity devices). More specifically, we develop a novel touch localization technique that leverages the physical phenomenon, called <i>dispersion</i>, which is the characteristic of sound as it travels through solid surfaces, and address the challenges that limit existing acoustic-based solutions in terms of portability, accuracy, usability, robustness, scalability, and responsiveness. Our extensive experiments with a prototype of SUbiTap show that we can support sub-centimeter accuracy on various types of surfaces with minor user calibration effort. In addition, the accuracy is maintained even when the size of the touch input space increases. In our experience with real-world users, SUbiTap significantly improves usability and robustness, thus enabling the emergence of more exciting applications.

Impact of Adolescent Nicotine Exposure in Pre- and Post-natal Oxycodone Exposed Offspring.

Perinatal exposure to prescription opioids pose a critical public health risk. Notably, research has found significant neurodevelopmental and behavioral deficits between in utero (IUO) and postnatal (PNO) oxycodone-exposed offspring but there is a notable gap in knowledge regarding the interaction of these groups to other drug exposure, particularly nicotine exposure. Nicotine's widespread use represents a ubiquitous clinical interaction that current research does not address. Children often experiment with drugs and risky behavior; therefore, adolescence is a key timepoint to characterize. This study employed an integrated systems approach to investigate escalating nicotine exposure in adolescence and subsequent nicotine withdrawal in the IUO- and PNO-offspring. Western blot analysis found synaptic protein alterations, especially upregulation of synaptophysin in IUO-withdrawal animals. RT-qPCR further validated immune dysfunction in the central nervous system (CNS). Peripheral nicotine metabolism was consistent with increased catabolism of nicotine concerning IUO animals. Lastly, behavioral assays found subtle deficits to withdrawal in nociception and anxiety-like behavior. This study showed, for the first time, the vulnerabilities of PNO- and IUO-exposed groups concerning nicotine use during early adolescence and withdrawal. Graphical Abstract.

The evolution of ectomycorrhizal symbiosis in the Late Cretaceous is a key driver of explosive diversification in Agaricomycetes.

Ectomycorrhizal (EcM) symbiosis, a ubiquitous plant-fungus interaction in forests, evolved in parallel in fungi. Why the evolution of EcM fungi did not necessarily increase ecological opportunities for explosive diversification remains unclear. This study aimed to reveal the driving mechanism of the evolutionary diversification in the fungal class Agaricomycetes, specifically by testing whether the evolution of EcM symbiosis in the Late Cretaceous increased ecological opportunities. The historical character transitions of trophic state and fruitbody form were estimated based on phylogenies inferred from fragments of 89 single-copy genes. Moreover, five analyses were used to estimate the net diversification rates (speciation rate minus extinction rate). The results indicate that the unidirectional evolution of EcM symbiosis occurred 27 times, ranging in date from the Early Triassic to the Early Paleogene. The increased diversification rates appeared to occur intensively at the stem of EcM fungal clades diverging in the Late Cretaceous, coinciding with the rapid diversification of EcM angiosperms. By contrast, the evolution of fruitbody form was not strongly linked with the increased diversification rates. These findings suggest that the evolution of EcM symbiosis in the Late Cretaceous, supposedly with coevolving EcM angiosperms, was the key drive of the explosive diversification in Agaricomycetes.

Ultrafast nonequilibrium dynamics and high-harmonic generation in two-dimensional quantum spin Hall materials

We develop the theoretical framework of nonequilibrium ultrafast photonics in monolayer quantum spin Hall insulators supporting a multitude of topological states. In these materials, ubiquitous strong light-matter interactions in the femtosecond scale lead to nonadiabatic quantum dynamics, resulting in topology-dependent nonlinear optoelectronic transport phenomena. We investigate the mechanism driving topological Dirac fermions interacting with strong ultrashort light pulses and uncover various experimentally accessible physical quantities that encode fingerprints of the quantum material's topological electronic state from the high-harmonic generated spectrum. Our work sets the theoretical cornerstones to realize the full potential of time-resolved harmonic spectroscopy for understanding nonequilibrium processes in quantum topological systems and identifying topological invariants in two-dimensional quantum spin Hall solid state systems.

Ubiquitous conservative interaction patterns between post-spliced introns and their mRNAs revealed by genome-wide interspecies comparison.

Introns, as important vectors of biological functions, can influence many stages of mRNA metabolism. However, in recent research, post-spliced introns are rarely considered. In this study, the optimal matched regions between introns and their mRNAs in nine model organism genomes were investigated with improved Smith-Waterman local alignment software. Our results showed that the distributions of mRNA optimal matched frequencies were highly consistent or universal. There are optimal matched frequency peaks in the UTR regions, which are obvious, especially in the 3'-UTR. The matched frequencies are relatively low in the CDS regions of the mRNA. The distributions of the optimal matched frequencies around the functional sites are also remarkably changed. The centers of the GC content distributions for different sequences are different. The matched rate distributions are highly consistent and are located mainly between 60% and 80%. The most probable value of the optimal matched segments is about 20bp for lower eukaryotes and 30bp for higher eukaryotes. These results show that there are abundant functional units in the introns, and these functional units are correlated structurally with all kinds of sequences of mRNA. The interaction between the post-spliced introns and their corresponding mRNAs may play a key role in gene expression.

Testing electron–phonon coupling for the superconductivity in kagome metal CsV3Sb5

In crystalline materials, electron-phonon coupling (EPC) is a ubiquitous many-body interaction that drives conventional Bardeen-Cooper-Schrieffer superconductivity. Recently, in a new kagome metal CsV3Sb5, superconductivity that possibly intertwines with time-reversal and spatial symmetry-breaking orders is observed. Density functional theory calculations predicted weak EPC strength, λ, supporting an unconventional pairing mechanism in CsV3Sb5. However, experimental determination of λ is still missing, hindering a microscopic understanding of the intertwined ground state of CsV3Sb5. Here, using 7-eV laser-based angle-resolved photoemission spectroscopy and Eliashberg function analysis, we determine an intermediate λ=0.45–0.6 at T = 6 K for both Sb 5p and V 3d electronic bands, which can support a conventional superconducting transition temperature on the same magnitude of experimental value in CsV3Sb5. Remarkably, the EPC on the V 3d-band enhances to λ~0.75 as the superconducting transition temperature elevated to 4.4 K in Cs(V0.93Nb0.07)3Sb5. Our results provide an important clue to understand the pairing mechanism in the kagome superconductor CsV3Sb5.

Cohesin-independent STAG proteins interact with RNA and R-loops and promote complex loading.

Most studies of cohesin function consider the Stromalin Antigen (STAG/SA) proteins as core complex members given their ubiquitous interaction with the cohesin ring. Here, we provide functional data to support the notion that the SA subunit is not a mere passenger in this structure, but instead plays a key role in the localization of cohesin to diverse biological processes and promotes loading of the complex at these sites. We show that in cells acutely depleted for RAD21, SA proteins remain bound to chromatin, cluster in 3D and interact with CTCF, as well as with a wide range of RNA binding proteins involved in multiple RNA processing mechanisms. Accordingly, SA proteins interact with RNA, and R-loops, even in the absence of cohesin. Our results place SA1 on chromatin upstream of the cohesin ring and reveal a role for SA1 in cohesin loading which is independent of NIPBL, the canonical cohesin loader. We propose that SA1 takes advantage of structural R-loop platforms to link cohesin loading and chromatin structure with diverse functions. Since SA proteins are pan-cancer targets, and R-loops play an increasingly prevalent role in cancer biology, our results have important implications for the mechanistic understanding of SA proteins in cancer and disease.

Over 19% Efficiency Organic Solar Cells by Regulating Multidimensional Intermolecular Interactions.

Research on organic solar cells (OSCs) has progressed through material innovation and device engineering. However, well-known and ubiquitous intermolecular interactions, and particularly their synergistic effects, have received little attention. Herein, the complicated relationship between photovoltaic conversion and multidimensional intermolecular interactions in the active layers is investigated. These interactions are dually regulated by side-chain isomerization and end-cap engineering of the acceptors. The phenylalkyl featured acceptors (LA-series) exhibit stronger crystallinity with preferential face-on interactions relative to the alkylphenyl attached isomers (ITIC-series). In addition, the PM6and LA-series acceptors exhibit moderate donor/acceptor interactions compared to those of the strongly interacting PM6/ITIC-series pairs, which helps to enhance phase separation and charge transport. Consequently, the output efficiencies of all LA series acceptors are over 14%. Moreover, LA-series acceptors show appropriate compatibility, host/guest interactions, and crystallinity relationships with BTP-eC9, thereby leading to uniform and well-organized "alloy-like" mixed phases. In particular, the highly crystalline LA23further optimizes multiple interactions and ternary microstructures, which results in a high efficiency of 19.12%. Thus, these results highlight the importance of multidimensional intermolecular interactions in the photovoltaic performance of OSCs.