Showing papers by "Rutgers University published in 2022"

Global Carbon Budget 2022

Abstract: Abstract. Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere in a changing climate is critical to better understand the global carbon cycle, support the development of climate policies, and project future climate change. Here we describe and synthesize data sets and methodologies to quantify the five major components of the global carbon budget and their uncertainties. Fossil CO2 emissions (EFOS) are based on energy statistics and cement production data, while emissions from land-use change (ELUC), mainly deforestation, are based on land use and land-use change data and bookkeeping models. Atmospheric CO2 concentration is measured directly, and its growth rate (GATM) is computed from the annual changes in concentration. The ocean CO2 sink (SOCEAN) is estimated with global ocean biogeochemistry models and observation-based data products. The terrestrial CO2 sink (SLAND) is estimated with dynamic global vegetation models. The resulting carbon budget imbalance (BIM), the difference between the estimated total emissions and the estimated changes in the atmosphere, ocean, and terrestrial biosphere, is a measure of imperfect data and understanding of the contemporary carbon cycle. All uncertainties are reported as ±1σ. For the year 2021, EFOS increased by 5.1 % relative to 2020, with fossil emissions at 10.1 ± 0.5 GtC yr−1 (9.9 ± 0.5 GtC yr−1 when the cement carbonation sink is included), and ELUC was 1.1 ± 0.7 GtC yr−1, for a total anthropogenic CO2 emission (including the cement carbonation sink) of 10.9 ± 0.8 GtC yr−1 (40.0 ± 2.9 GtCO2). Also, for 2021, GATM was 5.2 ± 0.2 GtC yr−1 (2.5 ± 0.1 ppm yr−1), SOCEAN was 2.9 ± 0.4 GtC yr−1, and SLAND was 3.5 ± 0.9 GtC yr−1, with a BIM of −0.6 GtC yr−1 (i.e. the total estimated sources were too low or sinks were too high). The global atmospheric CO2 concentration averaged over 2021 reached 414.71 ± 0.1 ppm. Preliminary data for 2022 suggest an increase in EFOS relative to 2021 of +1.0 % (0.1 % to 1.9 %) globally and atmospheric CO2 concentration reaching 417.2 ppm, more than 50 % above pre-industrial levels (around 278 ppm). Overall, the mean and trend in the components of the global carbon budget are consistently estimated over the period 1959–2021, but discrepancies of up to 1 GtC yr−1 persist for the representation of annual to semi-decadal variability in CO2 fluxes. Comparison of estimates from multiple approaches and observations shows (1) a persistent large uncertainty in the estimate of land-use change emissions, (2) a low agreement between the different methods on the magnitude of the land CO2 flux in the northern extratropics, and (3) a discrepancy between the different methods on the strength of the ocean sink over the last decade. This living data update documents changes in the methods and data sets used in this new global carbon budget and the progress in understanding of the global carbon cycle compared with previous publications of this data set. The data presented in this work are available at https://doi.org/10.18160/GCP-2022 (Friedlingstein et al., 2022b).

Interpersonal Communication : Putting Theory into Practice

Abstract: Chapter 1. Introduction WHAT IS INTERPERSONAL COMMUNICATION? INTERPERSONAL COMMUNICATION IS AN ART INTERPERSONAL COMMUNICATION IS A SCIENCE SUMMARY PART 1: FOUNDATIONS Chapter 2. Culture WHAT IS CULTURE? CULTURE AND COMMUNICATION INTERCULTURAL COMMUNICATION SUMMARY Chapter 3. Self and Identity WHAT IS THE SELF? IDENTITY: HOW YOU COMMUNICATE YOUR SELF HOW IDENTITIES CHANGE SUMMARY Chapter 4. Perception and Attribution WHAT IS PERCEPTION? WHAT IS ATTRIBUTION? FACTORS THAT AFFECT PERCEPTION AND ATTRIBUTION PART 2: INTERPERSONAL INTERACTION Chapter 5. Verbal Messages WHAT IS VERBAL COMMUNICATION? THE RULES OF LANGUAGE FACTORS THAT AFFECT LANGUAGE USE BIASED LANGUAGE SUMMARY Chapter 6. Nonverbal Messages WHAT IS NONVERBAL COMMUNICATION? THE FUNCTIONS OF NONVERBAL MESSAGES INDIVIDUAL DIFFERENCES COMBINING VERBAL AND NONVERBAL CUES SUMMARY Chapter 7. Emotions WHAT ARE EMOTIONS? FEELINGS AND COMMUNICATION INDIVIDUAL DIFFERENCES THE DARK SIDE OF EMOTIONS IN CLOSE RELATIONSHIPS SUMMARY Chapter 8. Dynamic Listening WHAT IS LISTENING? ACTIVE LISTENING LISTENING FOR RELATIONSHIP INFORMATION SUMMARY PART 3: INTERPERSONAL RELATIONSHIPS Chapter 9. Developing Relationships FORMING RELATIONSHPS ESCALATING RELATIONSHIPS ENDING RELATIONSHIPS WHEN THINGS GO WRONG SUMMARY Chapter 10. Intimate Relationships WHAT IS INTIMACY? MAINTAINING INTIMATE RELATIONSHIPS INDIVIDUAL DIFFERENCES IN INTIMACY EXTREMES OF INTIMACY SUMMARY Chapter 11. Families WHAT IS A FAMILY? COMMUNICATION IN FAMILY SYSTEMS THE FAMILY LIFESPAN SUMMARY PART 4: STRATEGIC INTERPERSONAL COMMUNICATION Chapter 12. Influence GOALS INFLUENCE MESSAGES INTERPERSONAL INFLUENCE IN ACTION SUMMARY Chapter 13. Managing Conflict WHAT IS CONFLICT? MANAGING CONFLICT CONFLICT DYNAMICS SUMMARY Chapter 14. Comfort and Support PROVIDING COMFORT INDIVIDUAL DIFFERENCES COMFORT WHEN IT COUNTS SUMMARY

Visual Foresight Trees for Object Retrieval From Clutter With Nonprehensile Rearrangement

Abstract: This letter considers the problem of retrieving an object from many tightly packed objects using a combination of robotic pushing and grasping actions. Object retrieval in dense clutter is an important skill for robots to operate in households and everyday environments effectively. The proposed solution, Visual Foresight Tree ( VFT ), intelligently rearranges the clutter surrounding a target object so that it can be grasped easily. Rearrangement with nested nonprehensile actions is challenging as it requires predicting complex object interactions in a combinatorially large configuration space of multiple objects. We first show that a deep neural network can be trained to accurately predict the poses of the packed objects when the robot pushes one of them. The predictive network provides visual foresight and is used in a tree search as a state transition function in the space of scene images. The tree search returns a sequence of consecutive push actions yielding the best arrangement of the clutter for grasping the target object. Experiments in simulation and using a real robot and objects show that the proposed approach outperforms model-free techniques as well as model-based myopic methods both in terms of success rates and the number of executed actions, on several challenging tasks. A video introducing VFT , with robot experiments, is accessible at https://youtu.be/7cL-hmgvyec . The full source code is available at https://github.com/arc-l/vft .

Room-temperature skyrmion lattice in a layered magnet (Fe _0.5 Co _0.5 ) ₅ GeTe ₂

Abstract: Novel magnetic ground states have been stabilized in two-dimensional (2D) magnets such as skyrmions, with the potential next-generation information technology. Here, we report the experimental observation of a Néel-type skyrmion lattice at room temperature in a single-phase, layered 2D magnet, specifically a 50% Co-doped Fe5GeTe2 (FCGT) system. The thickness-dependent magnetic domain size follows Kittel's law. The static spin textures and spin dynamics in FCGT nanoflakes were studied by Lorentz electron microscopy, variable-temperature magnetic force microscopy, micromagnetic simulations, and magnetotransport measurements. Current-induced skyrmion lattice motion was observed at room temperature, with a threshold current density, jth = 1 × 106 A/cm2. This discovery of a skyrmion lattice at room temperature in a noncentrosymmetric material opens the way for layered device applications and provides an ideal platform for studies of topological and quantum effects in 2D.

Machine Learning on a Robotic Platform for the Design of Polymer–Protein Hybrids

Abstract: Polymer–protein hybrids are intriguing materials that can bolster protein stability in non-native environments, thereby enhancing their utility in diverse medicinal, commercial, and industrial applications. One stabilization strategy involves designing synthetic random copolymers with compositions attuned to the protein surface, but rational design is complicated by the vast chemical and composition space. Here, a strategy is reported to design protein-stabilizing copolymers based on active machine learning, facilitated by automated material synthesis and characterization platforms. The versatility and robustness of the approach is demonstrated by the successful identification of copolymers that preserve, or even enhance, the activity of three chemically distinct enzymes following exposure to thermal denaturing conditions. Although systematic screening results in mixed success, active learning appropriately identifies unique and effective copolymer chemistries for the stabilization of each enzyme. Overall, this work broadens the capabilities to design fit-for-purpose synthetic copolymers that promote or otherwise manipulate protein activity, with extensions toward the design of robust polymer–protein hybrid materials.

The interactive effects of socialization tactics and work locus of control on newcomer work adjustment, job embeddedness, and voluntary turnover

Abstract: Previous research has tended to focus on general best practices for onboarding organizational newcomers. In this study, we shift the conversation to instead address the question: for whom are certa...

YAP mediates compensatory cardiac hypertrophy through aerobic glycolysis in response to pressure overload

Abstract: The heart utilizes multiple adaptive mechanisms to maintain pump function. Compensatory cardiac hypertrophy reduces wall stress and oxygen consumption, thereby protecting the heart against acute blood pressure elevation. The nuclear effector of the Hippo pathway, Yes-associated protein 1 (YAP), is activated and mediates compensatory cardiac hypertrophy in response to acute pressure overload (PO). In this study, YAP promoted glycolysis by upregulating glucose transporter 1 (GLUT1), which in turn caused accumulation of intermediates and metabolites of the glycolytic, auxiliary, and anaplerotic pathways during acute PO. Cardiac hypertrophy was inhibited and heart failure was exacerbated in mice with YAP haploinsufficiency in the presence of acute PO. However, normalization of GLUT1 rescued the detrimental phenotype. PO induced the accumulation of glycolytic metabolites, including l-serine, l-aspartate, and malate, in a YAP-dependent manner, thereby promoting cardiac hypertrophy. YAP upregulated the GLUT1 gene through interaction with TEA domain family member 1 (TEAD1) and HIF-1α in cardiomyocytes. Thus, YAP induces compensatory cardiac hypertrophy through activation of the Warburg effect.

Life-cycle assessment and multi-criteria performance evaluation of pervious concrete pavement with fly ash

Abstract: Pervious concrete pavement has great potential in reducing surface water runoff and improving water quality. This study aims to conduct life cycle assessment (LCA) and multi-criteria assessment of pervious concrete pavement with the use of fly ash. The research significance lies in the integration of hydraulic and structure designs for developing functional unit of pervious concrete pavement and combining environmental impacts with engineering and economic indicators. A full LCA of pervious concrete pavement system was conducted including the stages of material, construction, transportation, use, maintenance, and end-of-life stage. The impact assessment included global warming potential, energy consumption, and eutrophication potential due to runoff purification. The pervious concrete pavement structures were designed based on mechanical properties of mixtures, hydrological requirement of reservoir layer, and subgrade soil type to meet equivalent performance on parking lot and highway shoulder. Multi-criteria analysis of pervious concrete mixes and pavement systems were presented based on the normalization of environmental impacts, engineering performances, and economic costs. The LCA results showed that the environmental impacts of pervious pavement system were mainly generated from material stage in terms of 81% to 92% GHG emissions and 70% to 83% energy consumption. The performance rankings of pervious concrete mixes were different from those of pervious pavement structures. The pervious concrete pavement with fly ash can cause greater or less environmental impact, depending on mechanic properties of pervious concrete and the required surface layer thickness to achieve equivalent structural performance.

May the dark be with roots: a perspective on how root illumination may bias <i>in vitro</i> research on plant–environment interactions

Abstract: Roots anchor plants to the soil, providing them with nutrients and water while creating a defence network and facilitating beneficial interactions with a multitude of living organisms and climatological conditions. To facilitate morphological and molecular studies, root research has been conducted using in vitro systems. However, under natural conditions, roots grow in the dark, mainly in the absence of illumination, except for the relatively low illumination of the upper soil surface, and this has been largely ignored. Here, we discuss the results found over the last decade on how experimental exposure of roots to light may bias root development and responses through the alteration of hormonal signalling, cytoskeleton organization, reactive oxygen species or the accumulation of flavonoids, among other factors. Illumination alters the uptake of nutrients or water, and also affects the response of the roots to abiotic stresses and root interactions with the microbiota. Furthermore, we review in vitro systems created to maintain roots in darkness, and provide a comparative analysis of root transcriptomes obtained with these devices. Finally, we identify other experimental variables that should be considered to better mimic soil conditions, whose improvement would benefit studies using in vitro cultivation or enclosed ecosystems.