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Infrared vision is a highly specialized sensory system that evolved independently in three clades of snakes. Apparently, convergent evolution occurred in the transient receptor potential ankyrin 1 (TRPA1) proteins of infrared-sensing snakes. However, this gene can only explain how infrared signals are received, and not the transduction and processing of those signals. We sequenced the genome of Xenopeltis unicolor, a key outgroup species of pythons, and performed a genome-wide analysis of convergence between two clades of infrared-sensing snakes. Our results revealed pervasive molecular adaptation in pathways associated with neural development and other functions, with parallel selection on loci associated with trigeminal nerve structural organization. In addition, we found evidence of convergent amino acid substitutions in a set of genes, including TRPA1 and TRPM2. The analysis also identified convergent accelerated evolution in non-coding elements near 12 genes involved in facial nerve structural organization and optic nerve development. Thus, convergent evolution occurred across multiple dimensions of infrared vision in vipers and pythons, as well as amino acid substitutions, non-coding elements, genes and functions. These changes enabled independent groups of snakes to develop and use infrared vision.

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Insects play important roles in the maintenance of ecosystem functioning and the provision of livelihoods for millions of people. However, compared with terrestrial vertebrates and angiosperms, such as the giant panda, crested ibis, and the metasequoia, insect conservation has not attracted enough attention, and a basic understanding of the geographical biodiversity patterns for major components of insects in China is lacking. Herein, we investigated the geographical distribution of insect biodiversity across multiple dimensions (taxonomic, genetic, and phylogenetic diversity) based on the spatial distribution and molecular DNA sequencing data of insects. Our analysis included 18 orders, 360 families, 5,275 genera, and 14,115 species of insects. The results revealed that Southwestern and Southeastern China harbored higher insect biodiversity and numerous older lineages, representing a museum, whereas regions located in Northwestern China harbored lower insect biodiversity and younger lineages, serving as an evolutionary cradle. We also observed that mean annual temperature and precipitation had significantly positive effects, whereas altitude had significantly negative effects on insect biodiversity in most cases. Moreover, cultivated vegetation harbored the highest insect taxonomic and phylogenetic diversity, and needleleaf and broadleaf mixed forests harbored the highest insect genetic diversity. These results indicated that human activities may positively contribute to insect spatial diversity on a regional scale. Our study fills a knowledge gap in insect spatial diversity in China. These findings could help guide national-level conservation plans and the post-2020 biodiversity conservation framework.

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Cosegmentation and coattention are extensions of traditional segmentation methods aimed at detecting a common object (or objects) in a group of images. Current cosegmentation and coattention methods are ineffective for objects, such as plants, that change their morphological state while being captured in different modalities and views. The Object State Change using Coattention-Cosegmentation (OSC-CO2) is an end-to-end unsupervised deep-learning framework that enhances traditional segmentation techniques, processing, analyzing, selecting, and combining suitable segmentation results that may contain most of our target object's pixels, and then displaying a final segmented image. The framework leverages coattention-based convolutional neural networks (CNNs) and cosegmentation-based dense Conditional Random Fields (CRFs) to address segmentation accuracy in high-dimensional plant imagery with evolving plant objects. The efficacy of OSC-CO2 is demonstrated using plant growth sequences imaged with infrared, visible, and fluorescence cameras in multiple views using a remote sensing, high-throughput phenotyping platform, and is evaluated using Jaccard index and precision measures. We also introduce CosegPP+, a dataset that is structured and can provide quantitative information on the efficacy of our framework. Results show that OSC-CO2 out performed state-of-the art segmentation and cosegmentation methods by improving segementation accuracy by 3% to 45%.

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Marine biodiversity plays important roles in ocean ecosystem services and has substantial economic value. Species diversity, genetic diversity and phylogenetic diversity, which reflect the number, evolutionary potential and evolutionary history of species in ecosystem functioning, are three important dimensions of biodiversity. Marine-protected areas have been demonstrated as an effective area-based tool for protecting marine biodiversity, but only 2.8% of the ocean has been fully protected. It is urgent to identify global conservation priority areas and percentage of the ocean across multiple dimensions of biodiversity based on Post-2020 Global Biodiversity Framework. Here, we investigate the spatial distribution of marine genetic and phylogenetic diversity using 80 075 mitochondrial DNA barcode sequences from 4316 species and a newly constructed phylogenetic tree of 8166 species. We identify that the Central Indo-Pacific Ocean, Central Pacific Ocean and Western Indian Ocean harbor high levels of biodiversity across three dimensions of biodiversity, which could be designated as conservation priority areas. We also find that strategically protecting ∼22% of the ocean would allow us to reach the target of conserving ∼95% of currently known taxonomic, genetic and phylogenetic diversity. Our study provides insights into the spatial distribution pattern of multiple marine diversities and the findings would help to design comprehensive conservation schemes for global marine biodiversity.

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[This corrects the article DOI: 10.3389/fpubh.2021.779404.].

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Public officials are constantly facing decisions under risk, particularly in digitalization policies, the consequences of which are hard to predict given their multiple dimensional nature. Since scholarly research has not yet addressed this phenomenon, we do not know what influences the risk preferences of politicians in digitalization policies. Prospect theory-widely used to explain political decisions-can help us describe politicians' potential risk references and the conditions affecting their decisions. Accordingly, this paper aims to answer the following question: what are the conditions affecting the risk preferences of politicians in digitalization policies? I address this question by employing two important assumptions of prospect theory: the value function and the probability weighting function. Particularly, I discuss the effects of loss/gain frames and probability weighting on the risk preferences of politicians in digitalization with outcomes in multiple dimensions (e.g., data privacy and economy). I argue that whether an outcome is perceived as a gain or as a loss depends on how the situation is framed and how the probabilities are weighted. I conclude with a brief discussion of how prospect theory can leverage our understanding of political decisions in highly complex policy environments.

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Fabricating structural complex assemblies from simple amino acid-based derivatives is attracting great research interests due to their easy accessibility and preparation. However, the morphological regulation of racemates (an equimolar mixture of enantiomers) were largely overlooked. In this work, through rational modulation of kinetic and thermodynamic parameters, we achieved multiple dimensional architectures employing tryptophan-based racemate (RPWM). Upon assembling, 1D bundled nanofibers, 2D lamellar nanostructure and 3D urchin-like microflowers could be obtained depending on the solvents used. The corresponding morphology evolutions were successfully illustrated by changing the enantiomeric excess (ee) value. Moreover, for RPWM, uniform 0D nanospheres were formed in H2 O under 4 °C, which could spontaneously convert into lamella under ambient temperature. Taking advantages of its temperature-responsive phase change behavior, RPWM assemblies exhibited excellent removal efficiency for organic dye RhB, and could be reused for several consecutive cycles without significant changes in its removal performance. Taken together, it's rational to envision that the engineering of racemates assembly pathways can greatly increase the robustness in a wide variety of supramolecular materials and further lead to their blooming versatile applications.

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The control in optical uniformity of single nanoparticles and tuning their diversity in multiple dimensions, dot to dot, holds the key to unlocking nanoscale applications. Here we report that the entire lifetime profile of the single upconversion nanoparticle (τ2 profile) can be resolved by confocal, wide-field, and super-resolution microscopy techniques. The advances in both spatial and temporal resolutions push the limit of optical multiplexing from microscale to nanoscale. We further demonstrate that the time-domain optical fingerprints can be created by utilizing nanophotonic upconversion schemes, including interfacial energy migration, concentration dependency, energy transfer, and isolation of surface quenchers. We exemplify that three multiple dimensions, including the excitation wavelength, emission color, and τ2 profile, can be built into the nanoscale derivative τ2-dots. Creating a vast library of individually preselectable nanotags opens up a new horizon for diverse applications, spanning from sub-diffraction-limit data storage to high-throughput single-molecule digital assays and super-resolution imaging.

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Este trabalho aborda vários fatores que contribuem para a construção do infantil, fatores que abrem múltiplas perspectivas teóricas. Quais dimensões particulares são mais relevantes para qualquer construção é algo que depende, em última análise, de sua utilidade para o analista no estabelecimento da intersubjetividade com os pacientes na prática clínica.

This paper addresses several factors that contribute to constructions of the infantile, as they inform multiple theoretical perspectives. Which particular dimensions are most germane to any construction depends ultimately upon their usefulness to clinicians in establishing intersubjectivity with their patients in clinical practice.

Este trabajo aborda varios factores que contribuyen a la construcción de lo infantil, factores que abren múltiples perspectivas teóricas. Qué dimensiones particulares son más relevantes para cualquier construcción es algo que depende, en última instancia, de su utilidad para el analista en el establecimiento de la intersubjetividad con los pacientes en la práctica clínica.

Cet article aborde plusieurs éléments qui contribuent aux constructions de l'infantile, car il présente de multiples perspectives théoriques. Quelles dimensions particulières sont-elles les plus pertinentes pour une certaine construction, cela dépende, en dernière analyse, de son utilité pout les médecins, au moment de l'établissement de l'intersubjectivité avec leurs patientes dans la pratique clinique.

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BACKGROUND: Skilled delivery has been a pronounced concern and has been investigated over the years in developing countries. An inclusive understanding of the satisfaction of postpartum mothers is vital in improving the quality of skilled delivery, which is beneath the standard in some parts of developing countries. This study assessed the association between pregnancy-related factors and health status before and after childbirth with satisfaction with skilled delivery in multiple dimensions among postpartum mothers in the Akatsi South District, Ghana. METHODS: A community-based, cross-sectional study was conducted among 538 postpartum mothers who participated through the systematic sampling method. Data collection was performed through a pretested and structured questionnaire developed from the WHO responsiveness concept and other prior studies. Questions on satisfaction were categorized into six dimensions. The associations were determined using bivariable and multivariable logistic regression analyses. RESULTS: The overall satisfaction of postpartum mothers with skilled delivery was 80.7%. The highest (89.6%) and the lowest (12.8%) satisfaction with skilled delivery were found in technical quality and financial dimensions. Analysis revealed that autonomously age and delivery procedure were significantly associated with the dimensions of communication and responsiveness. Postpartum mothers who delivered at private healthcare facilities [crude odds ratio (COR) = 1.70; (95% CI 1.00-2.90); p = 0.049] had preterm pregnancy before delivery [COR = 2.08; (95% CI 1.02-4.21); p = 0.043], had cesarean section [COR = 2.73; (95% CI 1.05-7.12); p = 0.040], and presented with complications after childbirth [COR = 2.63; (95% CI 1.09-6.35); p = 0.032] were more likely to be satisfied in the dimension of communication only compared to their counterparts. Regarding responsiveness, multiparous mothers [COR = 1.63; (95% CI 1.06-2.51); p = 0.007] were more likely to be satisfied than primiparous mothers. Overall satisfaction was significantly and positively correlated with the various dimensions of skilled delivery. CONCLUSIONS: The majority were satisfied with five dimensions of satisfaction with skilled delivery except for the financial dimension. The District Health Directorate of Akatsi South should take into consideration these findings in their policy development for forward-looking skilled delivery.

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The construction of multidimensional, diversified microsupercapacitors (MSC) is urgently needed for fast-changing flexible and wearable microelectronics, which still meets the challenges of tedious construction and difficult integration. Herein, a laser direct writing strategy has been developed for the one-step preparation of multiscale MSCs from editable macro-supercapacitors. The microstructured supercapacitors with predefined multiscale shapes not only maintain the high capacitance performance and stability but also display the tensile properties in arbitrary direction. The heat-treated ion liquid-modified reduced graphene oxide guarantees the thermal stability of an electrode material during laser cutting, and its high ion-accessible surface area improves the capacitance performance of the supercapacitor. The as-fabricated MSC demonstrates a wide voltage window (0-3 V), high areal specific capacitance (27.4 mF cm-2), and high energy density (32.1 µW h cm-2), which are far higher than those of most reported articles. Notably, the editable supercapacitors can imitate the stereo paper cutting to achieve an arbitrary one-dimensional to three-dimensional configuration, promising for various portable, stretchable, and wearable devices.

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Along with advances in pain medicine, people have a deep understanding about pain. It is now considered that pain is a complex activity of the nerve system, particularly the high nerve centers, and is composed of sensory, affective, cognitive, and social interaction. By the help of new techniques and instruments of brain science, the neural circuits involved in pain generation have been understood intensively, partially explaining why pain is composed of multiple components and how the sensation, emotion and cognition of pain are influenced each other. Acupuncture analgesia is widely used in clinical treatment and has a definite therapeutic effect. Along with the revision of definition of pain, the research of acupuncture analgesia needs to accommodate the so-called multiple dimensions and their interactions, will effectively deepen its connotation and denotation, and expand its application range, opening up a wider clinical prospect.

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The multidimensional genome offers a new perspective to understand molecular mechanisms of genotoxicity and provide deeper knowledge of how genome organization and reorganization in dimensions can alter cell sensitivity, tolerance, resistance, or toxicity to drugs, whether drugs per se can influence the 3D architecture of the genome directly or indirectly through transcriptional factors, and how we can improve cell sensitivity to drugs through the reorganization of genome and regulation of gene expression. We address roles of 3D genome organization and reorganization in the pathogenesis and progression of disease by evaluating various methodologies of studying the 3D genome, and in the genome integrity and stability susceptible to chemicals as mechanisms of genotoxicity. We discuss the value of imaging, visualizing, and nuclear proximity ligation-based methods of 3D genome organization to measure spatial proximity and visualize spatial distances between genomic loci. We also list a number of dynamic genome changes during genome function and call for further investigations on the interaction of drugs with genome-specific regulators, key enzymes, or spliceosome.

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Safer and more effective programs are required to cope with an increasing number of older people with depression. Hence, we developed the Positive Photo Appreciation (PPA) program. A three-month pilot randomized controlled trial was conducted with healthy Japanese individuals aged 65⁻84 years, assigned to a PPA group (n = 28) or Photo Correspondence Education (PCE) (control group) (n = 27). We used the Center for Epidemiologic Studies Depression Scale (CES-D) score as the primary outcome measure. Secondary outcome measures, among others, were cognitive function and positive emotion. Data collected at baseline and post-intervention were analyzed using a linear mixed-effect model. Over 80% of the participants in the PPA group completed and were satisfied with the program. Compared with the PCE group, the CES-D score in the PPA group significantly improved (main effect of group: t = -4.30, p < 0.001; interaction effect of group by time: t = 4.39, p < 0.001), with an effect size of d = 1.23. Additionally, a positive significant interaction effect of group by time was found in the Positive and Negative Affect Schedule (t = -2.33, p = 0.024). The PPA program might be promising for mitigating depressive mood in older adults.

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Along with advances in pain medicine, people have a deep understanding about pain. It is now considered that pain is a complex activity of the nerve system, particularly the high nerve centers, and is composed of sensory, affective, cognitive, and social interaction. By the help of new techniques and instruments of brain science, the neural circuits involved in pain generation have been understood intensively, partially explaining why pain is composed of multiple components and how the sensation, emotion and cognition of pain are influenced each other. Acupuncture analgesia is widely used in clinical treatment and has a definite therapeutic effect. Along with the revision of definition of pain, the research of acupuncture analgesia needs to accommodate the so-called multiple dimensions and their interactions, will effectively deepen its connotation and denotation, and expand its application range, opening up a wider clinical prospect.

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Biodiversity is inherently multidimensional, encompassing taxonomic, functional, phylogenetic, genetic, landscape and many other elements of variability of life on the Earth. However, this fundamental principle of multidimensionality is rarely applied in research aimed at understanding biodiversity's value to ecosystem functions and the services they provide. This oversight means that our current understanding of the ecological and environmental consequences of biodiversity loss is limited primarily to what unidimensional studies have revealed. To address this issue, we review the literature, develop a conceptual framework for multidimensional biodiversity research based on this review and provide a case study to explore the framework. Our case study specifically examines how herbivory by whitetail deer (Odocoileus virginianus) alters the multidimensional influence of biodiversity on understory plant cover at Black Rock Forest, New York. Using three biodiversity dimensions (taxonomic, functional and phylogenetic diversity) to explore our framework, we found that herbivory alters biodiversity's multidimensional influence on plant cover; an effect not observable through a unidimensional approach. Although our review, framework and case study illustrate the advantages of multidimensional over unidimensional approaches, they also illustrate the statistical and empirical challenges such work entails. Meeting these challenges, however, where data and resources permit, will be important if we are to better understand and manage the consequences we face as biodiversity continues to decline in the foreseeable future.

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We study instantaneous, mixing-driven, bimolecular equilibrium reactions in a system where transport is governed by a multidimensional space fractional dispersion equation. The superdiffusive, nonlocal nature of the system causes the location and magnitude of reactions that take place to change significantly from a classical Fickian diffusion model. In particular, regions where reaction rates would be zero for the Fickian case become regions where the maximum reaction rate occurs when anomalous dispersion operates. We also study a global metric of mixing in the system, the scalar dissipation rate and compute its asymptotic scaling rates analytically. The scalar dissipation rate scales asymptotically as t-(d+α)/α , where d is the number of spatial dimensions and α is the fractional derivative exponent.