Acceptance of shame and embarrassment:Scale development and initial findings in a clinical sample

Objectives: The ability to accept painful feelings is associated with decreased distress and better functioning. We set out to design an instrument that specifically measures acceptance of shame and embarrassment, as this may be important for the social functioning and mood of people with chronic conditions. Methods: An item set was presented to 415 non-clinical adults and to 200 people with chronic pain. Item and factor analysis were used in the creation of an instrument; the reliability and validity of this instrument were examined. Regression analysis was used to examine the ability of this instrument to predict social functioning and mood in the clinical group. Results: A 17-item unifactorial instrument was created that had good psychometric properties in both groups (theAcceptanceofShameandEmbarrassment Scale,ASES).Itcorrelatedwithothermeasuresofacceptance, and of social discomfort. It had specific predictive power in the prediction of social functioning and mood in the clinical group. Conclusions: The ASES is a reliable and valid instrument measuring the ability to accept shame and embarrassment. This ability is associated with better social functioning and mood in people with chronic pain; this form of acceptance should be targeted in treatment

Acceptance of shame and embarrassment:Scale development and initial findings in a clinical sample

Objectives: The ability to accept painful feelings is associated with decreased distress and better functioning. We set out to design an instrument that specifically measures acceptance of shame and embarrassment, as this may be important for the social functioning and mood of people with chronic conditions. Methods: An item set was presented to 415 non-clinical adults and to 200 people with chronic pain. Item and factor analysis were used in the creation of an instrument; the reliability and validity of this instrument were examined. Regression analysis was used to examine the ability of this instrument to predict social functioning and mood in the clinical group. Results: A 17-item unifactorial instrument was created that had good psychometric properties in both groups (theAcceptanceofShameandEmbarrassment Scale,ASES).Itcorrelatedwithothermeasuresofacceptance, and of social discomfort. It had specific predictive power in the prediction of social functioning and mood in the clinical group. Conclusions: The ASES is a reliable and valid instrument measuring the ability to accept shame and embarrassment. This ability is associated with better social functioning and mood in people with chronic pain; this form of acceptance should be targeted in treatment

Magnetic Energy Powers the Corona: How We Can Understand its 3D Storage & Release

The coronal magnetic field is the prime driver behind many as-yet unsolved mysteries: solar eruptions, coronal heating, and the solar wind, to name a few. It is, however, still poorly observed and understood. We highlight key questions related to magnetic energy storage, release, and transport in the solar corona, and their relationship to these important problems. We advocate for new and multi-point co-optimized measurements, sensitive to magnetic field and other plasma parameters, spanning from optical to $\gamma$-ray wavelengths, to bring closure to these long-standing and fundamental questions. We discuss how our approach can fully describe the 3D magnetic field, embedded plasma, particle energization, and their joint evolution to achieve these objectives.Comment: White paper submitted to the Decadal Survey for Solar and Space Physics (Heliophysics) 2024-2033; 16 pages, 3 figure

COMPLETE: A flagship mission for complete understanding of 3D coronal magnetic energy release

COMPLETE is a flagship mission concept combining broadband spectroscopic imaging and comprehensive magnetography from multiple viewpoints around the Sun to enable tomographic reconstruction of 3D coronal magnetic fields and associated dynamic plasma properties, which provide direct diagnostics of energy release. COMPLETE re-imagines the paradigm for solar remote-sensing observations through purposefully co-optimized detectors distributed on multiple spacecraft that operate as a single observatory, linked by a comprehensive data/model assimilation strategy to unify individual observations into a single physical framework. We describe COMPLETE's science goals, instruments, and mission implementation. With targeted investment by NASA, COMPLETE is feasible for launch in 2032 to observe around the maximum of Solar Cycle 26.Comment: White paper submitted to the Decadal Survey for Solar and Space Physics (Heliophysics) 2024-2033; 10 pages, 6 figures, 1 tabl

Improving Multi-Dimensional Data Formats, Access, and Assimilation Tools for the Twenty-First Century

Heliophysics image data largely relies on a forty-year-old ecosystem built on the venerable Flexible Image Transport System (FITS) data standard. While many in situ measurements use newer standards, they are difficult to integrate with multiple data streams required to develop global understanding. Additionally, most data users still engage with data in much the same way as they did decades ago. However, contemporary missions and models require much more complex support for 3D multi-parameter data, robust data assimilation strategies, and integration of multiple individual data streams required to derive complete physical characterizations of the Sun and Heliospheric plasma environment. In this white paper we highlight some of the 21$^\mathsf{st}$ century challenges for data frameworks in heliophysics, consider an illustrative case study, and make recommendations for important steps the field can take to modernize its data products and data usage models. Our specific recommendations include: (1) Investing in data assimilation capability to drive advanced data-constrained models, (2) Investing in new strategies for integrating data across multiple instruments to realize measurements that cannot be produced from single observations, (3) Rethinking old data use paradigms to improve user access, develop deep understanding, and decrease barrier to entry for new datasets, and (4) Investing in research on data formats better suited for multi-dimensional data and cloud-based computing.Comment: White paper submitted to the Decadal Survey for Solar and Space Physics (Heliophysics) 2024-2033; 9 pages, 3 figure

Use of sonic tomography to detect and quantify wood decay in living trees.

Premise of the studyField methodology and image analysis protocols using acoustic tomography were developed and evaluated as a tool to estimate the amount of internal decay and damage of living trees, with special attention to tropical rainforest trees with irregular trunk shapes.Methods and resultsLiving trunks of a diversity of tree species in tropical rainforests in the Republic of Panama were scanned using an Argus Electronic PiCUS 3 Sonic Tomograph and evaluated for the amount and patterns of internal decay. A protocol using ImageJ analysis software was used to quantify the proportions of intact and compromised wood. The protocols provide replicable estimates of internal decay and cavities for trees of varying shapes, wood density, and bark thickness.ConclusionsSonic tomography, coupled with image analysis, provides an efficient, noninvasive approach to evaluate decay patterns and structural integrity of even irregularly shaped living trees

Profiling sulfur(VI) fluorides as reactive functionalities for chemical biology tools and expansion of the ligandable proteome

Here, we report a comprehensive profiling study of sulfur(VI) fluorides (SVI-F) in the context of multiple chemical biology applications and illustrate that these motifs present an exciting opportunity to develop tools for a wide scope of protein targets. SVI-Fs are reactive functionalities that offer utility for targeting almost any protein, as they can modify multiple residues including Lys, Tyr, His and Ser. A panel of SVI-F functionalities were studied with respect to hydrolytic stability and reactivity with nucleophilic amino acids. Subsequently, the reactivity of SVI-Fs with CAII and kinase proteins was investigated, in the context of both fragment binders and optimized probes. Finally, the performance of the SVI-F panel in chemoproteomic workflows was analyzed. The studies provided an in-depth understanding of the hydrolytic stability, protein reactivity and chemoproteomic utility of SVI-F functionalities that are suitable for direct incorporation into chemical tools. Such insights offer a valuable guide for the prospective design of SVI-F-containing ligands for various chemical biology workflows and demonstrate the wide range of proteins that SVI-Fs can capture, thus highlighting the opportunity for SVI-Fs to expand the liganded proteome

Efficient ligand discovery using sulfur(VI) fluoride reactive fragments

Sulfur(VI) fluorides (SFs) have emerged as valuable electrophiles for the design of "beyond-cysteine" covalent inhibitors and offer potential for expansion of the liganded proteome. Since SFs target a broad range of nucleophilic amino acids, they deliver an approach for the covalent modification of proteins without requirement for a proximal cysteine residue. Further to this, libraries of reactive fragments present an innovative approach for the discovery of ligands and tools for proteins of interest by leveraging a breadth of mass spectrometry analytical approaches. Herein, we report a screening approach that exploits the unique properties of SFs for this purpose. Libraries of SF-containing reactive fragments were synthesized, and a direct-to-biology workflow was taken to efficiently identify hit compounds for CAII and BCL6. The most promising hits were further characterized to establish the site(s) of covalent modification, modification kinetics, and target engagement in cells. Crystallography was used to gain a detailed molecular understanding of how these reactive fragments bind to their target. It is anticipated that this screening protocol can be used for the accelerated discovery of "beyond-cysteine" covalent inhibitors

Protective CD8+ T-cell immunity to human malaria induced by chimpanzee adenovirus-MVA immunisation.

Induction of antigen-specific CD8(+) T cells offers the prospect of immunization against many infectious diseases, but no subunit vaccine has induced CD8(+) T cells that correlate with efficacy in humans. Here we demonstrate that a replication-deficient chimpanzee adenovirus vector followed by a modified vaccinia virus Ankara booster induces exceptionally high frequency T-cell responses (median >2400 SFC/10(6) peripheral blood mononuclear cells) to the liver-stage Plasmodium falciparum malaria antigen ME-TRAP. It induces sterile protective efficacy against heterologous strain sporozoites in three vaccinees (3/14, 21%), and delays time to patency through substantial reduction of liver-stage parasite burden in five more (5/14, 36%), P=0.008 compared with controls. The frequency of monofunctional interferon-γ-producing CD8(+) T cells, but not antibodies, correlates with sterile protection and delay in time to patency (P(corrected)=0.005). Vaccine-induced CD8(+) T cells provide protection against human malaria, suggesting that a major limitation of previous vaccination approaches has been the insufficient magnitude of induced T cells

Connectivity-based parcellation of the human frontal polar cortex

The frontal pole corresponds to Brodmann area (BA) 10, the largest single architectonic area in the human frontal lobe. Generally, BA10 is thought to contain two or three subregions that subserve broad functions such as multitasking, social cognition, attention, and episodic memory. However, there is a substantial debate about the functional and structural heterogeneity of this large frontal region. Previous connectivity-based parcellation studies have identified two or three subregions in the human frontal pole. Here, we used diffusion tensor imaging to assess structural connectivity of BA10 in 35 healthy subjects and delineated subregions based on this connectivity. This allowed us to determine the correspondence of structurally based subregions with the scheme previously defined functionally. Three subregions could be defined in each subject. However, these three subregions were not spatially consistent between subjects. Therefore, we accepted a solution with two subregions that encompassed the lateral and medial frontal pole. We then examined resting-state functional connectivity of the two subregions and found significant differences between their connectivities. The medial cluster was connected to nodes of the default-mode network, which is implicated in internally focused, self-related thought, and social cognition. The lateral cluster was connected to nodes of the executive control network, associated with directed attention and working memory. These findings support the concept that there are two major anatomical subregions of the frontal pole related to differences in functional connectivity