Dimensional Framework Research Articles

Multicomponent Synthesis of Imidazole‐Linked Fully Conjugated 3D Covalent Organic Framework for Efficient Electrochemical Hydrogen Peroxide Production

AbstractThe semiconducting properties and applications of three dimensional (3D) covalent organic frameworks (COFs) are greatly hampered because of their long‐ranged non‐conjugated skeletons and relatively unstable linkages. Here, a robust imidazole‐linked fully conjugated 3D covalent organic framework (BUCT‐COF‐7) is synthesized through the one‐pot multicomponent Debus‐Radziszewski reaction of the saddle‐shaped aldehyde‐substituted cyclooctatetrathiophene, pyrene‐4,5,9,10‐tetraone, and ammonium acetate. The semiconducting BUCT‐COF‐7, as a metal‐free catalyst, shows excellent two electron oxygen reduction reaction (ORR) activity in alkaline medium with high hydrogen peroxide (H2O2) selectivity of 83.4 %. When the BUCT‐COF‐7 as cathode catalyst is assembled into the electrolyzer, the devices showed high electrochemical production rate of H2O2 up to 326.9 mmol g−1 h−1. The accumulative amount of H2O2 could totally degrade the dye methylene blue via Fenton reaction for wastewater treatment. This is the first report about intrinsic 3D COFs for efficient electrochemical synthesis of H2O2, revealing the promising applications of fully conjugated 3D COFs in the environment‐related field.

Multicomponent Synthesis of Imidazole-Linked Fully Conjugated 3D Covalent Organic Framework for Efficient Electrochemical Hydrogen Peroxide Production.

The semiconducting properties and applications of three dimensional (3D) covalent organic frameworks (COFs) are greatly hampered because of their long-ranged non-conjugated skeletons and relatively unstable linkages. Here, a robust imidazole-linked fully conjugated 3D covalent organic framework (BUCT-COF-7) is synthesized through the one-pot multicomponent Debus-Radziszewski reaction of the saddle-shaped aldehyde-substituted cyclooctatetrathiophene, pyrene-4,5,9,10-tetraone, and ammonium acetate. The semiconducting BUCT-COF-7, as a metal-free catalyst, shows excellent two electron oxygen reduction reaction (ORR) activity in alkaline medium with high hydrogen peroxide (H2 O2 ) selectivity of 83.4 %. When the BUCT-COF-7 as cathode catalyst is assembled into the electrolyzer, the devices showed high electrochemical production rate of H2 O2 up to 326.9 mmol g-1 h-1 . The accumulative amount of H2 O2 could totally degrade the dye methylene blue via Fenton reaction for wastewater treatment. This is the first report about intrinsic 3D COFs for efficient electrochemical synthesis of H2 O2 , revealing the promising applications of fully conjugated 3D COFs in the environment-related field.

1 Applying a dimensional framework to the study of developmental neurotoxicity

Objective:In recent decades, a large body of evidence has linked prenatal exposure to environmental neurotoxins to adverse intellectual, neurodevelopmental, and psychiatric outcomes in offspring. This evidence has clearly highlighted the widespread impact of neurotoxin exposure on the developing brain; however, it is unclear how and why these exposures alter brain development in a way that appears to increase risk for multiple, seemingly disparate outcomes.Participants and Methods:Shifting our focus from describing links between neurotoxin exposure and symptoms of offspring mental/cognitive problems considered categorically, to investigating how neurotoxins adversely affect domains of functioning known to cut across risk for multiple problems in offspring may be critical to answering these questions. This presentation will discuss how combining research in developmental neurotoxicology with novel systems that take dimensional approaches to understanding emotions, cognition, and behaviour (i.e., the NIHM Research Domain Criteria (RDoC)) may provide a fruitful future research direction for the field. The RDoC framework aims to understand neuropsychological outcomes (i.e., mental health, mental illness, IQ) across major domains of human emotion, cognition, behaviour, and social functioning, rather than within distinct diagnostic categories.Results:Using lead exposure as an example, this presentation will outline a framework for how researchers can use this dimensional approach to develop more specific hypotheses that can reveal how and why neurotoxin exposure increases risk for multiple adverse outcomes and elucidate the mechanisms that may underly these links.Conclusions:Additionally, given that adverse development within domains of functioning can be detected prior to the onset of full-blown diagnoses, this research could enable us to develop more precise, targeted prevention and risk reduction campaigns. Adopting a dimensional framework will provide a more complete picture of the overall impact of prenatal exposure to neurotoxins - critical for informing public health policy.

Symposium 15: Impact of Environmental Contaminants on Child Neurodevelopment

Summary Abstract:Children are exposed to toxic chemicals throughout development and the long-term consequences of this exposure can be profound. Despite decades of research documenting the vulnerability of the developing brain to environmental contaminants, there has been little progress in protecting against developmental neurotoxicity. This symposium will discuss recent research in developmental neurotoxicology using a "developmental origins of health and disease" (DOHaD) framework that examines the context in which environmental contaminants exert their effects. We will examine the timescale for developmental toxicity, windows of vulnerability, and the bases of individual differences in vulnerability, including sex-specific effects of chemical exposures. This symposium will feature new pregnancy and birth cohort studies that have implicated fluoride as a developmental neurotoxin and endocrine disruptor. In addition, we will discuss emerging issues in epidemiology, including how environmental contaminants may interact with non-chemical stressors and have lifelong impacts on cognition and behaviours. This symposium will be capped with a discussion of the public's knowledge, attitudes, and behaviours related to developmental toxicity and strategies to reduce exposure. All speakers will be asked to draw conclusions on research priorities, and discuss how to balance regulators' need for "ideal evidence" with a public health strategy that aims to protect the public from critical environmental hazards. The symposium will consist of the following five presentations, each 12 minutes in length, followed by a 15 minute discussion.1. John Krzeckowski, PhD, York University, Toronto, Canada.TITLE: Applying a Dimensional Framework to the Study of Developmental Neurotoxicity2. Carly Goodman, PhD candidate, York University, Toronto, CanadaTITLE: Sex difference of Developmental Neurotoxicants on Intellectual abilities: A systematic review and meta-analysis3. Meaghan Hall, PhD candidate, York University, Toronto, Canada.TITLE: Fluoride Exposure and Hypothyroidism in Pregnant Women: A Potential Mechanism of Fluoride Neurotoxicity4. Ashley Malin, PhD, University of Florida,Florida, USA.TITLE: Urinary Fluoride Levels and Metal Co-Exposures among Pregnant Women in Los Angeles, California5. Rivka Green, PhD, The Hospital for Sick Children, Toronto, Canada.TITLE: Translating developmental neurotoxicity for the public: A large, multi-country, randomized-control trial investigating children's environmental health literacy

A32Towards a taxonomy of scale: a sustainable approach

Taking simulation from concept through to scalable delivery is complex, contested and an under-theorized process. The traditional approaches to scaling innovations, proposed by Everett Rogers in the 1960s is the notion of diffusion of innovation; we argue that this is of limited use in our context of working with NHS health professionals supporting their learning post-covid. Our approach to scaling draws the upon the well-tested seminal works on taxonomies by Coburn (2003) [1] and her dimensional framework, Dede et al (2007) [2], with their educational scaling model, plus the systematic review of Greenhalgh et al (2004) [3] in health services. By considering the ways in which our eight Health Education England (HEE) simulation projects have been delivered, this work presents an emerging framework, designed to enable the orchestration of team discourse about theory, the production of simulation artefacts as tools for design discourse and the identification of scalable systemic pain points. We pay particular attention to scaling innovations in practice and organizational change, which are in our view enabling factors in the sustainable adoption of learning technologies by end users in the workplace. Successful scaling is more than just being about the number of users we can reach. It requires underpinning by an understanding about the changes in practice an innovation can bring about, and how valuable these changes are to stakeholders. Challenges remain as to whether such changes can be sustained over time, and the extent to which users and stakeholders are involved in co-creating the innovation. Individuals within the organizations – and their attitudes, beliefs, and habits – play an equally important role in exploring new technologies and practices with an open mind and perceiving these as an added value in their work environment and daily routines. This work illustrates the need to strategically involve the ‘missing middle’ and starts to identify the key role these people play in that space between where scaling factors reside between top-down strategy and bottom-up initiatives. Authors confirm that all relevant ethical standards for research conduct and dissemination have been met. The submitting author confirms that relevant ethical approval was granted, if applicable.

Intrapersonal dynamics of closeness versus distance: Qualities of the self-concept distinguish destructive overdependence, dysfunctional detachment, and healthy dependency.

People vary in the degree to which they affiliate with others; exaggerated efforts maintain interpersonal closeness versus distance are codified in longstanding categorical models of personality pathology, and in contemporary dimensional frameworks as well. To examine associations between destructive overdependence (DO), dysfuntional detachment (DD), and healthy dependency (HD) and qualities of the self-concept. A mixed-sex sample of 229 adults completed the Relationship Profile Test to assess DO, DD, and HD, and the Object Relations Inventory (ORI) to assess qualities of the self-concept. Analyses indicated that (1) the ORI Strong dimension was uniquely predictive of DO (inversely related); (2) ORI Warm and Nurturing were unique predictors of DD (both inversely related); and (3) ORI Nurturing and Successful were unique predictors of HD. This study illuminates key intrapersonal features of these three personality styles.

Structural, vibrational, thermal and computational studies of new organo-selenate compounds bis(4-carboxyanilinium) selenate and bis(4-carboxyanilinium) selenate trihydrate

Two new organo-selenate compounds, bis(4-carboxyanilinium) selenate trihydrate (B4-CASeO4·3H2O) and bis(4-carboxyanilinium) selenate (B4-CASeO4) were synthesized and it was found to have antioxidant, antibacterial and antifungal activities. These crystals were characterized by single-crystal X-ray diffraction, DSC, IR spectroscopy and computational analysis. B4-CASeO4·3H2O crystallizes in the triclinic space group, P -1, Z = 2 and B4-CASeO4 crystallizes in the monoclinic space group, P21/c, Z = 4. Both crystal structures consist of organic and inorganic layers which are interlinked by ionic and extensive N—H….O hydrogen-bonding interactions, between the NH3+ group of the cation and O-atom of anion. Such an extensive three dimensional hydrogen-bonding framework stabilize the crystal structure. In B4-CASeO4 crystal the cation, 4-CA exists as a dimer due to strong OH···O hydrogen bonding interaction. Such dimer formation is not observed in B4-CASeO4·3H2O. The fingerprint plots obtained using CrystalExplorer21 indicated that, the most prominent interaction in both crystals corresponds to the short O···H contacts and also the other interactions were similar. However their values were different indicating the intermolecular interactions were quite different. The intermolecular interaction topology of B4-CASeO4·3H2O and B4-CASeO4 has been quantitatively analyzed using the computational tool of energy framework analysis.

Cyanide-Bridged Rope-like Chains Based on Trigonal-Bipyramidal [Fe2Cu3] Subunits.

Extending a selected cyanometalate block into a higher dimensional framework continues to present intriguing challenges in the fields of chemistry and material science. Here, we prepared two rope-like chain compounds of {[(Tp*Me)Fe(CN)3]2Cu2X2(L)}·sol (1, X = Cl, L = (MeCN)0.5(H2O/MeOH)0.5, sol = 2MeCN·1.5H2O; 2, X = Br, L = MeOH, sol = 2MeCN·0.75H2O; Tp*Me = tris(3, 4, 5-trimethylpyrazole)borate) in which the cyanide-bridged trigonal-bipyramidal [Fe2Cu3] subunits were linked with the adjacent ones via two vertex Cu(II) centers, providing a new cyanometallate chain archetype. Direct current magnetic study revealed the presence of ferromagnetic couplings between Fe(III) and Cu(II) ions and uniaxial anisotropy due to a favorable alignment of the anisotropic tricyanoiron(III) units. Moreover, compound 1 exhibits single-chain magnet behavior with an appreciable energy barrier of 72 K, while 2 behaves as a metamagnet, likely caused by the subtle changes in the interchain interactions.

Exploring the synthese, structure, and properties of a 3D Mn-MOF based on 4,6-bistriazole isophthalic acid

One three dimensional metal organic framework {[Mn2(BTIA)2(H2O)]·7H2O}n (Mn-1) was synthesized from the multidentate organic linker 4,6-bistriazole isophthalic acid (H2BTIA) and MnCl2·4H2O under solvothermally condition. The structure of 1 exhibits as a three-dimensional framework fabricated by the binuclear subunits [Mn2(COO)2(H2O)] and the organic linkers (H2BTIA). Topologically, it displays a binodal framework with Schläfli symbol (44·62)2(416·612), which contains one dimensional channels along a direction. The magnetic behavior of Mn-1 was investigated, which discloses the antiferromagnetic (AF) interactions between Mn2+ ions with the coupling constant J = −1.38 cm−1. In additin, the porous Mn-MOF shows a small uptake capacity for CO2.

Training and Guidance in Use Software Wingeom 2D and 3D in Learning Geometry to Improve the Professionalism of Junior High School Teachers In Tanggetada District, Kolaka District, Southeast Sulawesi Province

This service aims to increase the professionalism of junior high school teachers in learning geometry by using Mathematics Learning Media, namely the use Sofware Wingeom 2D and 3D. This was done because looking at the problems that are generally faced by teachers in research, namely the lack of utilization and knowledge of teachers in the use of Wingeom-Based Mathematics Learning Media, in schools teachers are known that one of their weaknesses is the lack of work in the field of scientific work and research caused by erroneous one of them is the inadequacy of teachers in using mathematics learning media which can make it easier for them to be able to work. Program Wingeom 2D and 3D is a computer application program designed to support geometry learning, both two-dimensional and three-dimensional. This program can be used asmind tools in learning geometry, where teachers can use it to develop a dimensional geometric framework. With programs Wingeom It is hoped that later the teacher will be able to explore, observe, do shape animation and display dimensional geometry material, in addition to the program Wingeom 2D and 3D are expected to help visualize a geometric concept clearly so that teachers will more easily understand geometric concepts so that it will have an impact on improving the quality of teachers in the learning process, especially learning geometry. The mandatory outputs to be achieved are (1). One scientific article published in a journal with ISSN or proceedings from a national seminar. (2) Publication in print/online/repocitory mass media PT. (3). Increased competitiveness (increase quality, quantity, and added value of goods, services, product diversification, or other resources depending on the type of activity proposed. (4). Increasing the application of science and technology in society (mechanization, IT, and management). (5) Improvement of community values (art, culture, social, politics, security, peace, education, and health. Meanwhile, Additional Outcomes are in the form of (1). method or system; product (goods or services). (2). HKI, (3). Books with ISSN, (4). TTG Innovation, and, (5). International Publications. Method used in this training and mentoring include: (1) talk and question and answer about steps usage stepssoftware Wingeom 2D and 3D in learning geometry, (2) discussion groups directed on the steps of use software Wingeom 2D and 3D in learning geometry, (3) guidance and each simulation usage stepssoftware Wingeom 2d and 3D in learning geometry, (4) practice direct use of each step usage software Wingeom 2D and 3D dalam learning geometry, (5) giving related assignments usage software Wingeom 2D and 3D dalam geometry learning.

Three dimensional cooperative guidance for intercepting a manoeuvering target

AbstractIn this paper, an optimal distributed guidance law is proposed for cooperatively intercepting a manoeuvering target in three dimensional (3D) framework. Based on the 3D kinematic model of interceptors and the target, the kinematic engagement equations in line‐of‐sight (LOS) coordinate can be obtained. Along the LOS direction, a finite‐time consensus based on directed communication topology is applied to guarantee arrival‐time coordination of multiple interceptors, and sliding mode control is adopted to compensate target manoeuver. In the plane perpendicular to LOS, optimal control is used to design guidance law such that closed‐loop LOS angular rates converge to a tunable small neighbourhood of zero. The proposed cooperative guidance law is proved in theory, and its effectiveness is verified by simulations.

Engineering active sites in two dimensional covalent organic frameworks boosts the capture of iodine

The search and development of novel covalent organic frameworks (COFs) as advanced adsorbents for efficient capture of radiological iodine is of great interest. Herein, a rational modulation of active sites within COFs was reported to achieve enhanced iodine capture performance. A facile installation of electron-rich ethynyl moieties within backbones of the COF adsorbent led to a successful 38% rise of iodine adsorption capacity, from 3.34 g g−1 to 4.61 g g−1, due to the intrinsic strong interaction between ethynyl sites and iodine molecules. Moreover, this uptake can be further enhanced to be 5.07 g g−1 through the incorporation of rich basic triazine sites into the ethynyl-linked framework on account of the Lewis acidity of iodine. These results not only give a rise to extend our understanding of structure–property relationship for efficient removal of radiological iodine, but also offer new possibilities for the rational design and synthesis of novel COF-based adsorbents for separation applications.

Infinite dimensional Piecewise Deterministic Markov Processes

In this paper we aim to construct infinite dimensional versions of well established Piecewise Deterministic Monte Carlo methods, such as the Bouncy Particle Sampler, the Zig-Zag Sampler and the Boomerang Sampler. In order to do so we provide an abstract infinite dimensional framework for Piecewise Deterministic Markov Processes (PDMPs) with unbounded event intensities. We further develop exponential convergence to equilibrium of the infinite dimensional Boomerang Sampler, using hypocoercivity techniques. Furthermore we establish how the infinite dimensional Boomerang Sampler admits a finite dimensional approximation, rendering it suitable for computer simulation.

Dimensional measures of generalized entropy

Entropy is useful in statistical problems as a measure of irreversibility, randomness, mixing, dispersion, and number of microstates. However, there remains ambiguity over the precise mathematical formulation of entropy, generalized beyond the additive definition pioneered by Boltzmann, Gibbs, and Shannon (applicable to thermodynamic equilibria). For generalized entropies to be applied rigorously to nonequilibrium statistical mechanics, we suggest that there is a need for a physically interpretable (dimensional) framework that can be connected to dynamical processes operating in phase space. In this work, we introduce dimensional measures of entropy that admit arbitrary invertible weight functions (subject to curvature and convergence requirements). These ‘dimensional entropies’ have physical dimensions of phase-space volume and represent the extent of level sets of the distribution function. Dimensional entropies with power-law weight functions (related to Rényi and Tsallis entropies) are particularly robust, as they do not require any internal dimensional parameters due to their scale invariance. We also point out the existence of composite entropy measures that can be constructed from functionals of dimensional entropies. We calculate the response of the dimensional entropies to perturbations, showing that for a structured distribution, perturbations have the largest impact on entropies weighted at a similar phase-space scale. This elucidates the link between dynamics (perturbations) and statistics (entropies). Finally, we derive corresponding generalized maximum-entropy distributions. Dimensional entropies may be useful as a diagnostic (for irreversibility) and for theoretical modeling (if the underlying irreversible processes in phase space are understood) in chaotic and complex systems, such as collisionless systems of particles with long-range interactions.

Comparison of the relations between three dimensional personality frameworks and intra- and inter-personal functioning

We aimed to understand which of the three personality frameworks including Criterion B of the DSM-5 model, Five-Factor Model (FFM), and affective temperaments was most overlapping with both intrapersonal and interpersonal dysfunctions (Criterion A). This cross-sectional study consisted of N = 496 people from western Iran. Pearson correlation and regression techniques were used for data analysis. Although all dimensional personality frameworks were related to both personality dysfunctions, Criterion B was a stronger predictor above and beyond the other frameworks. Our findings do not support the replacement of Criterion B by traditional personality and temperament constructs. The significant incremental validity of both the FFM and affective temperaments beyond the DSM-5 model addresses potential complementary constructs to enhance Criterion B to explain Criterion A.

Two metal-organic frameworks based on tetracarboxylic ligand exhibiting high performance for gas adsorption and separation

Developing porous materials for purification of acetylene is of great significance, but remains challenging. Currently, the use of metal-organic frameworks (MOFs) for gas adsorption separation has received substantial research interest. Herein, based on the tetracarboxylic acid ligand H4TPTA ([1,1':3′,1″-terphenyl]-4,4′,4″,6′-tetracarboxylic acid), two MOFs (ErTPTA and CdTPTA) constructed by trinuclear cluster secondly building units (SBUs) have been successfully synthesized. They are three dimensional (3D) framework with 1D rhomboid channels, demonstrating a (4,8)-connected scu network. A series of gas adsorption tests were performed and the both compounds exhibited outstanding gas selective adsorption performance. Accordingly, the ideal adsorption solution theory (IAST) is used to simulate the adsorption selectivity, the selectivity of CdTPTA for CO2/CH4 is 11.85 (0.5:0.5) and 17.02 (0.05:0.95), and for C2H2/CH4 is 11.81 (0.5:0.5); the selectivity of ErTPTA for C2H2/CO2 is 4.45 (0.5:0.5).

Methyl-functionalized Zn-MOF for selective adsorption and separation of acetylene

A new Zn-MOF, [Zn(bdc)0.5(mtrz)]·2 H2O (1) (H2bdc = terephthalic acid, Hmtrz = 3-methyl-1,2,4-triazole), with three dimensional (3D) framework was solvothermally synthesized, in which Zn ions and triazole form two-dimensional layer structure supported by dicharboxylic acid ligands between layers. MOF 1 displays high thermal stability as well as selective adsorption capacity for C2H2 over CO2 and CH4. Subsequently, dynamic breakthrough experiments showed that 1 could separate C2H2 from binary (C2H2/CH4 and C2H2/CO2) and ternary (C2H2/CO2/CH4) mixtures.

Deconstructing Organizational Capabilities of Megaproject Owners: Dimensions and Levels

Given that a strong owner has been identified as an important factor in the success of megaprojects, there has been a growing recognition of the importance of megaproject owner organizational capabilities. However, the questions of what organizational capabilities do owners need to foster successful megaprojects, and whether these capabilities are the stronger the better, have yet to be addressed. To answer these questions, this study identified the dimensions of owner organizational capabilities based on literature and interviews, and developed several sets of parallel hypotheses. Based on the 229 valid questionnaire data collected, the relationships between owner organizational capabilities and megaproject success were analyzed through hierarchical multiple regression, and the results were discussed through expert interviews. The findings show that owner coordination, dynamic, and system integration capabilities have positive impacts on megaproject success, with coordination capabilities being the most significant. While the impact of motivational capabilities on megaproject success is inverted U-shaped. This study provides an actionable dimensional framework for megaproject owner capabilities, moving the field of owner organizational capabilities beyond the conceptual level. This study provides empirical evidence for the importance of megaproject owner organizational capabilities and takes a more dialectical view of a strong owner. The empirical results can provide insights and guidance on the configuration and development of megaproject owner capabilities.

Two dimensional iron metal-organic framework nanosheet with peroxidase-mimicking activity for colorimetric detection of hypoxanthine related to shrimp freshness

Two dimensional iron metal-organic framework nanosheet (2D Fe MOF) was facilely synthesized at room temperature by simple stirring of iron salts and terephthalic acid ligand in a mixed solution containing triethylamine. Its morphology and structure were fully characterized by TEM, AFM, XPS and TEM element mapping. Then, its peroxidase-mimicking activity was studied by using H2O2 and 3, 3′, 5, 5′- tetramethylbenzidine as substrate. Km and Vmax of 2D Fe MOF towards H2O2 were 0.02 mM and 2.08 × 10−8 M s−1, respectively. Through the formation of cascade reaction between xanthine oxidase and 2D Fe MOF, a visual method for hypoxanthine (Hx) detection was constructed to evaluate aquatic products freshness. After effective validation, this method presented wide linear range (5.0–500.0 μM), low limit of detection (3.29 μM), satisfied accuracy (recovery of 94.78–99.85%), and good selectivity. By using this method, Hx content in shrimp samples at different storage time were determined.

Brain structure and function link to variation in biobehavioral dimensions across the psychopathological continuum.

In line with the Research Domain Criteria (RDoC), we set out to investigate the brain basis of psychopathology within a transdiagnostic, dimensional framework. We performed an integrative structural-functional linked independent component analysis, to study the relationship between brain measures and a broad set of biobehavioral measures in a sample (n = 295) with both mentally healthy participants and patients with diverse non-psychotic psychiatric disorders (i.e. mood, anxiety, addiction, and neurodevelopmental disorders). To get a more complete understanding of the underlying brain mechanisms, we used gray and white matter measures for brain structure and both resting-state and stress scans for brain function. The results emphasize the importance of the executive control network (ECN) during the functional scans, for the understanding of transdiagnostic symptom dimensions. The connectivity between the ECN and the frontoparietal network in the aftermath of stress, was correlated with symptom dimensions across both the cognitive and negative valence domains, and also with various other health related biological and behavioral measures. Finally, we identified a multimodal component that was specifically associated with the diagnosis of autism spectrum disorder (ASD). The involvement of the default mode network, precentral gyrus and thalamus across the different modalities of this component, may reflect the broad functional domains that may be affected in ASD, like theory of mind, motor problems and sensitivity to sensory stimuli respectively. Taken together, the findings from our extentensive, exploratory analyses emphasize the importance of a dimensional and more integrative approach for getting a better understanding of the brain basis of psychopathology.