Separate Dimensions Research Articles

Developmental mechanisms linking deprivation and threat to psychopathology and school outcomes.

Decades of evidence have elucidated associations between early adversity and risk for negative outcomes. However, traditional conceptualizations of the biologic embedding of adversity ignore neuroscientific principles which emphasize developmental plasticity. Dimensional models suggest that separate dimensions of experiences shape behavioral development differentially. We hypothesized that deprivation would be associated with higher psychopathology and lower academic achievement through executive function and effortful control, while threat would do so through observed, and parent reported emotional reactivity. In this longitudinal study of 206 mother-child dyads, we test these theories across the first 7 years of life. Threat was measured by the presence of domestic violence, and deprivation by the lack of cognitive stimulation within the parent-child interaction. We used path analyses to test associations between deprivation and threat with psychopathology and school outcomes through cognition and emotional reactivity. We show that children who experienced more deprivation showed poor academic achievement through difficulties with executive function, while children who experienced more threat had higher levels of psychopathology through increased emotional reactivity. These observations are consistent with work in adolescence and reflect how unique adverse experiences have differential effects on children's behavior and subsequently long-term outcomes.

Differentiating anticipated and anticipatory emotions and their sensitivity to depressive symptoms.

Anticipated emotions are the feelings one expects if a hypothetical future event were to occur, whereas anticipatory emotions are those one experiences right now while imagining the event. There has been little direct comparison of these two forms of future-oriented emotion, and authors have typically focused on positive emotions (e.g., pleasure). Besides, their sensitivity to depressive symptoms-which may help to explain motivational problems in depression-has only recently been investigated (e.g., Anderson et al., 2023; Gamble et al., 2021). The present study (conducted September-November 2022) used innovative picture-and-text vignettes depicting everyday positive and negative future events, to which participants rated their anticipated and anticipatory responses on separate dimensions of valence (i.e., how positive or negative) and arousal (i.e., emotional intensity). Based on prior literature, anticipatory emotions were expected to be correlated with, yet weaker than, anticipated emotions, reflecting a conceptualization of anticipatory emotions as a "foretaste" of the affective response one expects in the future. We also predicted that high depressive symptoms would coincide with diminished emotion ratings overall and specifically for anticipatory emotions (tightly coupled with event expectations; Carrera et al., 2012). Results largely supported these preregistered predictions, yet anticipatory emotions (positive and negative) were only weaker in more highly depressed participants. Depressive symptoms may therefore affect how one currently feels about future possibilities without altering one's expectations of how such events would actually feel. Implications and future research objectives arising from this are discussed. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Testing a Conceptual Model of Early Adversity, Neural Function, and Psychopathology: Protocol for a Retrospective Observational Cohort Study.

Early adversity, broadly defined as a set of negative exposures during childhood, is extremely common and increases risk for psychopathology across the life span. Previous research suggests that separate dimensions of adversity increase risk through developmental plasticity mechanisms shaping unique neurobiological pathways. Specifically, research suggests that deprivation is associated with deficits in higher order cognition, while threat is associated with atypicality in fear learning and emotion dysregulation. However, most of this research has been conducted in adolescent and adult samples, long after exposure to adversity occurs and far from periods of peak developmental plasticity. The Wellness Health and Life Experiences (WHALE) study examines the neurobiological and behavioral mechanisms by which deprivation, threat, and unpredictability increase risk for psychopathology in early childhood (age 4-7 years) directly following periods of peak developmental plasticity. The objective of this study is to describe the study rationale and aims, the research design and procedures, and the analytical plan to test the study hypotheses. This is a retrospective cohort study that examines associations between exposure to deprivation and threat and their hypothesized neurobiological mechanisms, how these neurobiological mechanisms link early adversity and psychopathology, and associations between unpredictability, reward learning, and psychopathology. The sample was a convenience sample of children (aged 4-7 years) and their families, identified through flyers, email blasts to listserves, school-based advertising, and involvement in community events. Data were collected during a home visit, a subsequent laboratory visit, and a final neuroimaging visit. Planned analyses include linear regression, path analyses, and functional magnetic resonance imaging analyses to explore the role of neural function in the association between early adversity and psychopathology. Participants (N=301) have been recruited into the study, and data collection has commenced. The expected results will be available in 2024. The findings of this study will help elucidate the neurobiological mechanisms by which early adversity increases risk for psychopathology in early childhood. This study represents the earliest test of an influential theory of biological embedding of early adversity. DERR1-10.2196/59636.

Molecule Empowerment and Crystal Desensitization: A Multilevel Structure-Property Analysis toward Designing High-Energy Low-Sensitivity Layered Energetic Materials.

Layered energetic materials (LEMs) can effectively balance energy and mechanical sensitivity, making them a current research focus in the field of energetic materials. However, the influence of the layered stacking pattern on impact sensitivity is still unclear, leading to the lack of advanced design strategies for high-energy low-sensitivity LEMs. Herein, we first utilize novel indicators such as maximum plane separation and hydrogen bond dimension to perform high-throughput screening on over 106 candidate structures, resulting in 17 target crystals. A systematic analysis was then conducted on the relationships between the bond dissociation energy (BDE) of the weakest energy-storing bond at the molecular level, the intralayer hydrogen bond energy (HBE), and the sliding energy barrier (SEB) at the crystal level with impact sensitivity. The findings suggest that a material can have low sensitivity only if at least two of the three properties perform well, and the interlayer sliding resistance can be reduced by enhancing the intermolecular hydrogen bond interactions, which reasonably explains the experimental phenomena. More importantly, we developed a prediction model for the impact sensitivity of LEMs with a coefficient of determination of 0.88. Additionally, factors affecting HBE and SEB were identified, and a linear model was established based on molecular-level feature variables. Finally, a new strategy for designing high-energy low-sensitivity LEMs was proposed, namely, empowerment at the molecular scale and desensitization at the crystal scale. This study integrates high-throughput screening, multilevel structure-property relationship analysis, and mathematical model construction, offering new perspectives for the development of novel high-energy and low-sensitivity energetic materials.

Peptide retention time prediction for hydrophilic interaction liquid chromatography at acidic pH in formic-acid based eluents

Peptide separation selectivity was evaluated for hydrophilic interaction liquid chromatography (HILIC) ZIC-HILIC, ZIC-cHILIC, and XBridge Amide sorbents using formic acid as eluent additive (pH 2.7). Sequence-specific retention prediction algorithms were trained using retention datasets of ∼30,000 peptides for each column. Our retention models were able to attain ∼0.98 R2-value and yielded retention coefficients that can be probed to understand peptide-stationary phase interaction. Overall, the hydrophilicity for these columns decreased when the mobile phase changed pH from 4.5 to 2.7, when using 0.1 % formic acid in the mobile phase. The acidic residues became protonated, and the resultant hydrophilic interaction is dampened at the lower pH, leaving only the basic residues as the primary hydrophilic interactors. Hence, peptides of increasing charge have higher retention. In this comparison between the three columns, ZIC-HILIC has the highest chromatographic resolution between groups of peptides of different charge. From the position-dependent retention coefficients for ZIC-HILIC at pH 2.7, we found that the amino acids at the terminal positions of the peptide modulate the basicity of the N-terminal amino group or the C-terminal Arg/Lys for tryptic peptides. With respect to the separation orthogonality between HILIC and acidic pH RPLC for two dimensional separations, the orthogonality values were lower at pH 2.7 than operating HILIC at pH 4.5 for the first dimension. We also demonstrate that ZIC-HILIC was able to distinguish citrullinated and deamidated peptides based on predicted retention values.

Bottom-up Histone Post-translational Modification Analysis using Liquid Chromatography, Trapped Ion Mobility Spectrometry, and Tandem Mass Spectrometry.

The amino acid position within a histone sequence and the chemical nature of post-translational modifications (PTMs) are essential for elucidating the "Histone Code". Previous work has shown that PTMs induce specific biological responses and are good candidates as biomarkers for diagnostics. Here, we evaluate the analytical advantages of trapped ion mobility (TIMS) with parallel accumulation-serial fragmentation (PASEF) and tandem mass spectrometry (MS/MS) for bottom-up proteomics of model cancer cells. The study also considered the use of nanoliquid chromatography (LC) and traditional methods: LC-TIMS-PASEF-ToF MS/MS vs nLC-TIMS-PASEF-ToF MS/MS vs nLC-MS/MS. The addition of TIMS and PASEF-MS/MS increased the number of detected peptides due to the added separation dimension. All three methods showed high reproducibility and low RSD in the MS domain (<5 ppm). While the LC, nLC and TIMS separations showed small RSD across samples, the accurate mobility (1/K0) measurements (<0.6% RSD) increased the confidence of peptide assignments. Trends were observed in the retention time and mobility concerning the number and type of PTMs (e.g., ac, me1-3) and their corresponding unmodified, propionylated peptide that aided in peptide assignment. Mobility separation permitted the annotation of coeluting structural and positional isomers and compared with nLC-MS/MS showed several advantages due to reduced chemical noise.

The structure of motivation: Assessing readiness to change dimensions and their predictive value with the network validation of the Italian version of the Anorexia Nervosa Stages of Change Questionnarie.

Motivation to change is an important predictor for treatment outcomes in individuals with anorexia nervosa (AN), however, the existence and clinical relevance of distinct motivational dimensions are understudied. This study aimed to structurally validate the AN Stage of Change Questionnaire (ANSOCQ) in the Italian adult AN population to identify separate motivational dimensions and their association with clinical variables and outcomes. Inpatients and outpatients with AN (N=300) completed the ANSOCQ and measures assessing eating and depressive psychopathology. Unique Variable Analysis and Exploratory Graph Analysis were employed to identify dimensions in the network structure of ANSOCQ. Cross-sectional associations with clinical variables were assessed in the whole sample. Predictive value on weight and psychopathology was assessed in inpatients. Two dimensions were identified, one comprising items relative to weight gain, and the second items regarding attitudes towards eating, body, and emotional problems. Feelings associated with eating resulted as most central in the network. Higher scores in the first dimension and ANSOCQ total predicted weight gain during hospitalisation. No significant predictors emerged for changes in eating psychopathology. These findings confirm the robust psychometric properties of ANSOCQ and provide support for the use of its subdimensions in clinical practice.

The Positive Deviance Concept: Pro and Con

ABSTRACT Multiple sociologists use the term, “positive deviance,” to refer to a sociologically meaningful category of behavior. Earlier, the author questioned the concept’s utility on the basis of its grab-bag, miscellaneous character – and hence, the inability of any known sociological theory to explain or account for it – as well as the fact that its components, “positive” and “deviance” are based on qualities lodged in distinctly separate dimensions. Still, curious about how sociologists of deviance regard the concept, the author contacted more than 200 instructors of the course and asked them how they feel about its coherence and utility; out of the 50 replies, only a quarter (N = 12) of the respondents rejected the meaningfulness of the concept out of hand, while two-thirds (N = 33) accepted it; the remaining one out of ten (N = 5) weren’t sure or reacted non-judgmentally. Though not rigorous or consistent, the concept seems to have achieved a secure place in the sociology of deviance literature; perhaps, on that basis, the nay-sayers should re-think their opposition to the concept.

The role of a team psychological safety feeling in teamwork in the classroom

Active cooperation is expected from the student in the education center, which is associated with fears of expressing their opinions, because a possible mistake may result in a negative reaction from the environment. In our research, we investigated the impact of team psychological safety feelings on students' willingness to engage in active learning. 244 students aged 18 and 19 participated in the research. A mixed methods approach was used to obtain the necessary data. By data analysis, we revealed three separate dimensions in respondents' answers to questionnaire items. According to our findings, students' involvement in active learning is strongly supported by their internal motivation to acquire new knowledge and trust in the class collective. A sense of psychological team safety has an important place in encouraging the student to engage in common activities. At the same time, we found that the teacher has a decisive influence on building the student's trust in the class team.

Accelerating social initiatives: an exploratory study on scaling in the social sector

ABSTRACT This exploratory study aims to provide an initial understanding of the role of accelerators in the public sector. Our findings on potential accelerators in the Dutch social sector show that they differ from those in the private sector. They also take temporary organizational forms, rarely select social initiatives through open calls, and support experts rather than initiators. Their contribution is difficult to measure. Their potential role in the ecosystem of social initiatives includes coordinating the scaling and focusing on effectiveness, but their role needs further development. Our findings indicate that scaling beyond should be considered as separate dimension of scaling.

Implications of public policies performance on social inequality worldwide

This study probes the linkage between public policy (represented by GDP growth, inflation, CO2 emissions, and unemployment factors) and social inequality indicators, paying attention to economic, environmental, and social elements. The study questions the impact of these policies on overall social inequality as one measure and its separate dimensions, which are gender, income, education, and life expectancy, whereas data was gathered between 2010 and 2021 from the World Bank and the United Nations Development Programme (UNDP) for 139 countries. The linear regression revealed a significant relationship that explained 51% of the variance in overall social inequality, except for unemployment. Regarding separate dimensions of social inequality, the findings point out that GDP growth and inflation both affect life and gender inequality, whereas unemployment only affects income inequality; on the other hand, the CO2 emissions factor has an inverse effect on all dimensions of inequality (income, life expectancy, education, and gender inequalities). Considering the implications, increased CO2 emissions would reduce income inequality by boosting job creation, but they also pose environmental and health hazards, necessitating sustainable development strategies. Rising unemployment exacerbates income distribution, demonstrating the need for policies that enhance job stability and reduce inequality. Additionally, it necessitates investing in healthcare and education, eradicating gender inequality, and implementing sustainable strategies to foster economic growth while considering the consequences of inflation on life and gender justice. Thus, realizing these principles would build a sustainable and equitable society that balances economic enhancement with environmental protection and achieves equal opportunity.

Social Dysfunction and Apathy: Transdiagnostic Domains in Late-Life Cognitive Disorders.

Social dysfunction is a maladaptive process of coping, problem solving, and achieving one's goals. A new definition of apathy was cross-linked to social dysfunction, with a reduced goal-directed behavior and social interaction as a separate dimension. We hypothesized that these two neuropsychiatric symptoms may be included in the mild behavioral impairment diagnostic framework, operationalizing and standardizing late-life neuropsychiatric symptom assessment, to improve risk determination of dementia. Social dysfunction and apathy were transdiagnostic and prodromic for late-life cognitive disorders. A transdiagnostic approach could provide a useful mean for a better understanding of apathy and related conditions such as social behavior.

Good people good planet: Investigating the interconnection between social and environmental sustainability

Research investigating consumers’ responsiveness to sustainability from a corporate social responsibility perspective has traditionally focused on either the environmental or social dimensions while overlooking the possible link between the two. This manuscript explores consumers’ perception of the interconnection between these dimensions of sustainability. Four experiments demonstrate that the social and environmental dimensions of sustainability are interconnected in consumers’ minds, where a promise to be sustainable in one dimension enhances perceptions of the other dimension. Companies making social or environmental promises are evaluated differently depending on whether the company later delivers a sustainability success along the same dimension (paired success) or a separate dimension (complementary success). Positive attitudes towards the company were only heightened in the case of complementary successes. The underlying psychological mechanism of perceived ethical principles is also identified. Finally, the results are shown to not only impact consumer attitudes, but also their actual choice behavior.

Pursuing drug laboratories: Analysis of drug precursors with High Kinetic Energy Ion Mobility Spectrometry

High Kinetic Energy Ion Mobility Spectrometry (HiKE-IMS) is a technique for rapid and reliable detection of trace compounds down to ppbV-levels within one second. Compared to classical IMS operating at ambient pressure and providing the ion mobility at low electric fields, HiKE-IMS can also provide the analyte-specific field dependence of the ion mobility and a fragmentation pattern at high reduced electric field strengths. The additional information about the analyte obtained by varying the reduced electric field strength can contribute to reliable detection. Furthermore, the reduced number of ion-molecule reactions at the low operating pressure of 10 – 40 mbar and the shorter reaction times reduce the impact of competing ion-molecule reactions that can cause false negatives. In this work, we employ HiKE-IMS for the analysis of phenyl-2-propanone (P2P) and other precursor chemicals used for synthesis of methamphetamine and amphetamine. The results show that the precursor chemicals exhibit different behavior in HiKE-IMS. Some precursors form a single significant ion species, while others readily form a fragmentation pattern. Nevertheless, all drug precursors can be distinguished from each other, from the reactant ions and from interfering compounds. In particular, the field-dependent ion mobility as an additional separation dimension aids identification, potentially reducing the number of false positive alarms in field applications. Furthermore, the analysis of a seized illicit P2P sample shows that even low levels of P2P can be detected despite the complex background present in the headspace of real samples.

The relationship between person-centred care and well-being and satisfaction with care of patients living with obesity.

Person-centred care (PCC) is associated with improved patient well-being and higher levels of satisfaction with care but its impact on individuals living with obesity is not well-established. The main aim of this study was to assess the relationship between PCC and the physical and social well-being of patients living with obesity, as well as their satisfaction with care. This study is based on a cross-sectional, web-based survey administered among a representative panel of Dutch individuals living with obesity. The primary outcomes were physical and social well-being and satisfaction with care. The primary exposure was a rating of overall PCC, encompassing its eight dimensions. In addition, covariates considered in the analyses included sex, age, marital status, education level, BMI, and chronic illness. The data from a total of 590 participants were analysed using descriptive statistics, correlation analyses, and multiple regression analyses. Among PCC dimensions, participants rated 'access to care' the highest (M 4.1, SD 0.6), while 'coordination of care' (M 3.5, SD 0.8) was rated lower than all other dimensions. Participants' overall PCC ratings were positively correlated with their physical (r = 0.255, P<0.001) and social well-being (r = 0.289, P<0.001) and their satisfaction with care (r = 0.788, P<0.001), as were the separate dimension scores. After controlling for sex, age, marital status, education level, BMI, and chronic illness in the regression analyses, participants' overall PCC ratings were positively related to their physical (β = 0.24, P<0.001) and social well-being (β = 0.26, P<0.001), and satisfaction with care (β = 0.79, P<0.001). PCC holds promise for improved outcomes among patients living with obesity, both in terms of physical and social well-being, as well as satisfaction with care. This is an important finding, particularly when considering the profound physical, social, and psychological consequences associated with obesity. In addition to highlighting the potential benefits of PCC in the healthcare of individuals living with obesity, the findings offer valuable insights into strategies for further refining the provision of PCC to meet the specific needs of these patients.

Differential Effects of Sequence-Local versus Nonlocal Charge Patterns on Phase Separation and Conformational Dimensions of Polyampholytes as Model Intrinsically Disordered Proteins.

Conformational properties of intrinsically disordered proteins (IDPs) are governed by a sequence-ensemble relationship. To differentiate the impact of sequence-local versus sequence-nonlocal features of an IDP's charge pattern on its conformational dimensions and its phase-separation propensity, the charge "blockiness" κ and the nonlocality-weighted sequence charge decoration (SCD) parameters are compared for their correlations with isolated-chain radii of gyration (Rgs) and upper critical solution temperatures (UCSTs) of polyampholytes modeled by random phase approximation, field-theoretic simulation, and coarse-grained molecular dynamics. SCD is superior to κ in predicting Rg because SCD accounts for effects of contact order, i.e., nonlocality, on dimensions of isolated chains. In contrast, κ and SCD are comparably good, though nonideal, predictors of UCST because frequencies of interchain contacts in the multiple-chain condensed phase are less sensitive to sequence positions than frequencies of intrachain contacts of an isolated chain, as reflected by κ correlating better with condensed-phase interaction energy than SCD.

Transforming Brown Practices into Green Jobs: Training Intervention and Green Job Motivation of Agripreneuship Trainees

Purpose: Within the backdrop of labor market uncertainty for young people and environmental externalities, the study tested the effect of training intervention on green collar job motivation of agripreneuship trainees in a green growth project in Mezam, North West Cameroon. Focus was on training, attitude and social pressure as determinants of green job motivation off agripreneurs. Materials and Methods: The study adopted a quantitative survey design with the goal of data on green collar job training and motivation and a sample of 125 participants (71 females; 54 males) was recruited from a training intervention initiative from Mezam, North West Cameroon. An instrument with internal reliability consistency (α=0.74) was used to gather information. The information was entered into SPSS version 27, and correlation and hierarchical regression were used as test statistics. Findings: According to the results, it was reported as a significant predictor of green job motivation, p &lt; 0.05. In the second model capacity building and attitude significantly determined green job motivation p &lt; 0.05. While the third model (capacity enhancement, attitude, social pressure) was significant, p &lt; 0.05, social pressure as a separate dimension failed to determine green job motivation, p &gt; 0.05, of agripreneurs trainees. From the results of the study it was reported that training factors were capable of predicting green job motivation and the need for transforming brown occupations was also recognised within green growth venture. Implications to Theory, Practice and Policy: Green economic activities have undergone evolution with demands for new skills and training should be recognized as a sustainable measure of green collar job behaviours. Considering the position of green growth models in developing green collar mindset, it asserts that greener occupations are capable of catalysing wealth creation, environmental justice and sustainable and should be promoted. Therefore, advocates of green employment should draw from policy strategies and enrich training programmes to be more responsive to changing environmental, suggesting transformation from brown to green through green mindset building. While the paper contributes to scarce body of knowledge in green jobs, implications for policy and practice have been presented with areas for future research

TWO-DIMENSIONAL ION CHROMATOGRAPHY TANDEM-MASS SPECTROMETRIC (2D-IC-MS/MS) METHOD FOR THE ANALYSIS OF PHOSPHORUS COMPOUNDS IN SOIL

Investigations into soil organic phosphorus (Po) dynamics are instrumental in understanding the transformations and processes responsible for ecosystem productivity. However, quantitative analysis of Po in a soil environment is extremely challenging due to low target analyte concentrations and matrix interferences with chromatography and analysis. Consequently, a two-dimensional ion chromatography-tandem mass spectrometric (2D-IC-MS/MS) method was developed to estimate soil Po concentrations. The first dimension diverted early eluting anions to waste while preconcentrating P compounds in a trap column, followed by chromatographic separation and detection in the second dimension. Detection was done using a mass spectrometer, and quantification was performed using the multiple reaction monitoring scan (MRM) method. The linear range of the studied P compounds, mostly nucleotides, was 0.05 – 50 ng/mL. Most P compounds were detected and quantified in calcareous subsoil samples in the concentration ranges 0.70 – 51.78 ng/g. The developed method achieved chromatographic separation that allowed unambiguous identification of isobars/isomers and isotopologues contributing to interferences in MS detection. However, improvements to the extraction method and post-clean-up procedures are required due to the complexity of soil extract composition, extreme matrix effect and/or loss of analyte during preconcentration. The method is ideal for simultaneously analyzing P compounds from environmental samples to elucidate key components of the soil P dynamics.

Association between developmental patterns of single and concurrent externalizing behaviors and internalizing problems over the preschool years.

The present study investigated whether distinct developmental patterns of externalizing behaviors (EBs: hyperactivity-impulsivity, noncompliance, physical aggression) based on parent reports were repeatedly and differentially associated with separate dimensions of internalizing problems such as general anxiety, separation anxiety, and depressive symptoms across the early, middle, and late preschool years in a population birth cohort (N = 2,057, 50.7% boys). Six high trajectory classes obtained by latent growth modeling were used as longitudinal indicators of single EB and co-occurrent EBs. Children following low or moderate trajectories for all EBs served as the reference class. Results revealed that children in trajectory classes reflecting high levels of co-occurring EBs showed higher levels of general anxiety, separation anxiety, and depressive symptoms across the preschool years. In contrast, children in trajectory classes reflecting single EB manifested higher levels of some, but not all, dimensions of internalizing problems. In addition, their scores varied from one period to another. No sex differences were observed in the above associations. These results underline the need for comprehensive assessments across distinct types of EBs and internalizing problems to better reflect the characteristics that distinguish individual children. Finally, results suggest that children showing early co-occurrent EBs and internalizing symptoms may be an important group to target for in-depth assessment and possibly preventive intervention. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Exploring Ion Mobility Mass Spectrometry Data File Conversions to Leverage Existing Tools and Enable New Workflows.

Ion mobility (IM) is often combined with LC-MS experiments to provide an additional dimension of separation for complex sample analysis. While highly complex samples are better characterized by the full dimensionality of LC-IM-MS experiments to uncover new information, downstream data analysis workflows are often not equipped to properly mine the additional IM dimension. For many samples the data acquisition benefits of including IM separations are all that is necessary to uncover sample information and the full dimensionality of the data is not required for data analysis. Postacquisition reduction and adaptation of the dimensions of LC-IM-MS and IM-MS experiments into an LC-MS format opens the possibility to use a plethora of existing software tools. In this work, we developed data file conversion tools to reduce the complexity of IM data analysis. Three data file transformations are introduced in the PNNL PreProcessor software: (1) mapping the IM axis to the LC axis for IM-MS data, (2) converting the drift time vs m/z space to CCS/z vs m/z space, and (3) transforming All Ions IM/MS mobility aligned fragmentation data to a standard LC-MS DDA data file format. These new data file conversions are demonstrated with corresponding lipidomics and proteomics workflows that leverage existing LC-MS data analysis software to highlight the benefits of the data transformations.