ABC Model Research Articles

Duplicate MADS-box genes with split roles and a genetic regulatory network of floral development in long-homostyle common buckwheat

The classic ABC model postulates how three classes of floral homeotic genes (A, B and C) work in a combinational way to confer organ identity to each whorl that make up a perfect flower in core eudicot plants. Fagopyrum esculentum (Polygonaceae) produces dimorphic flowers with single whorl showy tepals, representing a considerable difference with most core eudicots flowers. Here, we explain in detail the function of a duplicated pair of floral homeotic genes involved in the formation of tepals and stamens in the LH F. esculentum. FaesAP1_1 and FaesAP1_2 work together to specify tepal identity. FaesAP3_1/2 or FaesPI_1/2 have redundant function in specifying filament identity, while FaesAP3_2 and FaesPI_2 also retain a conserved role in specifying anther development and gain novel function in style length determination. However, FaesPI_1 gain novel function in floral color formation. In addition, FaesAG can directly regulate stamen and pistil development or binds to the CArG-box of pFaesPI_1 to indirectly regulate stamen and pistil development by a gene regulatory pathway involving FaesAP1_1/2, FaesAP3_1/2 and FaesPI_1/2. Moreover, FaesAP1_1/2 can directly or indirectly regulate B-class gene (FaesAP3_1/2 and FaesPI_1/2) expression to be involved in floral development. Our work has led to detailed insights into the MADS-box gene regulatory networks that control floral developmental process in LH F. esculentum.

Barriers and facilitators for implementing ABCs for Mental Wellbeing intervention model in Finland

Abstract Background The ABCs for Mental Wellbeing study aims to improve mental health and wellbeing by adopting, implementing and evaluating a universal, community-based mental health promotion intervention model in Finland. The study gathers information and experiences of the implementation processes, identifies barriers and facilitators, and best practices for the implementation, and the feasibility and contextual adaptability of the intervention in different settings and specific target groups. Methods The implementation took place in four municipality community settings. In total, 40 participants attended the ABC activities. The study employs a mixed methods approach to look at the implementation processes: a quantitative survey before and after the implementation, and qualitative interviews with the employees implementing the model and the participants involved with the ABC activities. Results Based on qualitative analysis, the most identified facilitator is management support alongside the competencies of professionals. The observed effects of group activities aligned with the ABC model on mental wellbeing show that participants not only experienced the benefits of model-compliant activities on their mental wellbeing but also increased their awareness of factors influencing their mental wellbeing. The results of the quantitative analysis will be ready during the spring. Conclusions The study offers fresh insights into the obstacles and enablers affecting the implementation of a mental health promotion intervention model. The best practice strategies and guidelines identified are being shared both nationally and internationally and utilised to enhance future programme implementation and adaptation of these practices in various settings. Key messages • Best practice strategies and guidelines for successful implementation of mental health promotion identified. • The ABCs for Mental Wellbeing increased participants’ awareness of the factors influencing their mental wellbeing.

Risk prediction models for incident heart failure: a systematic review and meta-analysis

Abstract Background Heart failure (HF) risk prediction models combine multivariable patient data to estimate an individual's risk of developing HF. By detecting at-risk and early-stage patients, models may facilitate earlier intervention to prevent or delay HF development. Previous systematic reviews were unable to recommend any existing prediction models for clinical use due to insufficient evidence and lack of guidelines on appraising study quality at their time of publication. Purpose To summarize the performance of risk prediction models for incident HF and identify models for further validation and potential clinical use. Methods We searched MEDLINE and EMBASE in June 2021 for English-language studies developing or validating HF risk prediction models. Studies were also retrieved from two previous systematic reviews. We narratively summarized model characteristics (e.g. model type, predictors used, prediction horizon) and study methodology (e.g. validation methods). Performance was assessed among all models validated in ≥ 1 cohort. For all models validated in ≥ 2 cohorts, we pooled discrimination measures using random-effects meta-analyses. Calibration was descriptively summarized based on individual study results from statistical tests and graph digitization of calibration plots. Study quality was assessed using the Prediction model Risk Of Bias ASsessment Tool (PROBAST). Results Of 18,937 publications screened, 41 studies consisting of 120 prediction models were included. Twenty models were both derived and validated, 99 only derived, and 1 only validated. Risk of bias was rated as high in nearly all (94.7%) PROBAST assessments, mostly attributable to issues with analysis. Among 21 models validated in ≥ 1 cohort, most had moderate (61.9%, C-statistic 0.7 to <0.8) or high (23.8%, C-statistic 0.8 to <0.9) discrimination. In patients with low predicted risk (<10%), the calibration was adequate. Nine (42.9%) of these 21 models were presented as web-based calculators and five (23.8%) as points-based risk scores. Based on performance, number of validation cohorts, study risk of bias, and user friendliness, the Atherosclerosis Risk in Communities (ARIC), Multi-Ethnic Study of Atherosclerosis (MESA), Pooled Cohort equations to Prevent Heart Failure (PCP-HF), and Health ABC models emerged as the most promising risk scores for clinical practice. Conclusions Given their acceptable performance but high risk of bias, future studies should focus on the external validation of these models in studies of high methodological rigor. Models should be validated in a greater diversity of patient populations, particularly with respect to race. Impact analyses assessing how the clinical implementation of these models affects patient outcomes are also required prior to their routine use. Once validated, these models may help guide clinical decision making to prevent the onset of HF with early, aggressive risk factor modification.Discrimination in 21 validated modelsCharacteristics of recommended models

Dismantling Racism in Research Methods and Practices

Dismantling racism in American psychology has recently emerged as a critical goal of the field accompanied by actionable steps being developed in training, research, and practice. To contribute to this significant undertaking, we offer an exploration of the impact of racism on psychological research methods and practices using the ABC model. First, antecedents to the present manifestation of the problem are identified as an advancement of research topics that supported a hereditary hierarchy based on race, the normalization of White participants as standard in comparative studies, and the use of biased measures to investigate various constructs, particularly as it relates to psychological testing. Second, sampling bias is discussed as a systemic behavior that produces racism in psychological research methods; specifically, issues of omission and commission are described along with the use of WEIRD samples and the role of implicit bias in the limited production of knowledge on people of color. Third, the antecedents and behaviors give way to consequences that include threats to cultural validity, unequal treatment and health disparities, and epistemic oppression in the field. We end with recommendations for avoiding a continuation of the field’s racist legacy in present-day psychology.

Psychological Dynamics among Adolescents with Self-Harm Behavior Based on Rational Emotive Behavior Therapy

The objective of this study was to ascertain the psychological underpinnings of self-harm behaviors among adolescents, with a particular emphasis on the tenets of rational emotive behavior therapy (REBT). Additionally, this study aimed to elucidate the various forms of self-harm behaviors and the underlying factors that contribute to these behaviors in adolescents. This research employed a qualitative approach with a phenomenological research design. The research subjects were students at State Senior High School 1 Batu, Indonesia, selected based on certain criteria in accordance with the research needs (purposive sampling). The results demonstrate three key aspects of the psychological dynamics of adolescents with self-harm behavior, namely cognitive, affective, and conative. These were mapped into the ABC model, which comprises three elements, namely activating events, irrational beliefs, and impacts. Forms of self-harm in adolescents include physical (slashing the hand) and non-physical (ignoring health, smoking, taking drugs, and staying up late). The background of adolescents committing self-harm behavior is influenced by both internal factors (dissatisfaction and loneliness) and external factors (family problems and modeling).

Factors Affecting Key Stage 3 Students’ Attitudes towards Mathematics in Fuvahmulah City, Maldives

Mathematics can foster students’ capacity in reasoning and nurturing their critical thinking abilities. In turn, attitude emerges as a pivotal factor influencing students’ mathematical performance. The National Assessment of Learning Outcomes (NALO) has revealed a concerning decline in mathematics proficiency among Grade 7 students within this atoll over successive years. Scholarly investigations have underscored the significance of a positive attitude towards the subject in augmenting learning outcomes. Guided by the ABC model of attitude, this study sought to discern the factors shaping students’ perspectives towards mathematics, the specific challenges hindering them from realising their full potential, and the proposed reforms in pedagogical and environmental dimensions to enhance mathematical proficiency. Employing purposive sampling, a qualitative case-study approach, and semi-structured interviews, data was collected from eight students in Key Stage 3. The findings indicate that students’ outlook on the subject is influenced by a confluence of positive and negative emotions. Factors such as teachers’ attitude, pedagogical methodologies, insufficient parental support, and deficiencies in foundational mathematical understanding during primary schooling emerged as prominent impediments to students’ mathematical achievement. Additionally, students expressed a desire for a conducive and differentiated learning milieu to bolster their grasp of mathematical concepts.

Genetic structure of populations of Salvia ceratophylloides endemic to southern Calabria (southern Italy)

Assessing the degree of genetic diversity and differentiation of rare or endangered endemic species is essential to evaluate the conservation status of populations and successively implement appropriate conservation strategies. We investigated the population structure of Salvia ceratophylloides Ard., a scapose hemicryptophyte endemic to Calabria (southern Italy), both to answer questions about its genetic structure and to determine whether the actual population size has undergone significant demographic changes in the near past. The data obtained from the census showed that the populations are characterised by a greater number of adult individuals than juveniles and are on declining. The genetic analysis carried out on 99 individuals from four populations of the species under study, shows a mean expected heterozygosity value of 0.50 and an overall differentiation value of 0.083. The population structure shows that the four studied populations are distinct genetic units, genetically linked to four different ancestral gene pools. Bayesian analysis based on ABC models indicates that the present populations underwent a significant reduction in size in the past. This corresponds to the demographic decline at the end of the 19th century, which according to the literature, was due to the strong anthropic pressure (agriculture, grazing, fire and plantations) of Reggio Calabria suburbs. We can therefore conclude that populations are not affected by inbreeding and low genetic diversity and that there is no immediate danger of genetic erosion, and that the problems associated with population decline, past and present, are exclusively due to anthropogenic causes.

Influence of Tiktok video content on youth people's online shopping intention for fashion items

This study delves into the influence of TikTok video content factors - Entertainment, Information, Usefulness, and Interaction - on the online purchase intention of fashion items among young consumers. Drawing upon the Integrated Theory of Planned Behavior, ABC model (Attitude, Behavior, Context), and Mobile Technology Acceptance Model framework, the research examines how these factors shape consumer behavior on popular social media platforms. A quantitative approach was employed, utilizing survey data collected from 620 young respondents in Vietnam. The findings reveal that Entertainment, Information, Usefulness, and Interaction significantly impact online purchase intention, with Usefulness and Interaction emerging as the primary drivers. However, the study also acknowledges several limitations, including sample size constraints and potential biases inherent in self-reported data. Future research directions include longitudinal studies to explore the dynamic nature of consumer behavior on TikTok and comparative studies across different demographic groups to enhance generalizability. This study contributes valuable insights for marketers and advertisers seeking to leverage TikTok as a platform for engaging young consumers and driving online purchase behavior in the fashion industry.

Poetry writing can enhance character formation in school students through the application of rational emotive behavior theory

ABSTRACT This study explores the role of poetry writing and the ABC model of Rational Emotive Behavior Therapy (REBT) in promoting character development and moral behavior among students. The study used DAS SF1 and SF2 and assessed poetic talent using a poetry attitude and knowledge test. Forty-eight students were selected using the purposive method from five Convent schools, along with five teachers. Following a two-month intervention of 30 sessions, the researcher conducted interviews to evaluate the method’s efficacy. Content analysis of the integrated poetry writing and REBT program was performed using NVivo, while both quantitative and qualitative data were analyzed using SPSS. The study found significant positive correlations between the integration of REBT and improved behavior, suggesting that incorporating poetry writing into the curriculum can enhance students’ behavior and attitudes.

An introduction to semi-automated matrix element computation in particle physics

This paper presents a semi-automated method to compute matrix elements at the Leading Order and the Next-to-Leading Order in the ABC model of particle physics. The ABC model consists of three scalar particles and they interact only when all three particles are present in the interaction. In the Next-to-Leading Order calculations, one often has to deal with ultraviolet divergences. Some of the techniques such as Wick’s rotation, Feynman parameterisation, and dimensional regularization which are useful in Next-to-Leading Order computations are presented by applying them on the ABC model calculations and also implemented in python based programs using Computer Algebra System.

AD CAMPAIGNS FOR CHANGE: GEN Z’S ATTITUDINAL RESPONSES TO PRO-FEMALE ADVERTISEMENTS

Advertising is a potent tool for shaping societal perspectives. India has witnessed a significant transition from traditional gender stereotypes to pro-female approach in advertising in recent years. These advertisements advocating gender equality possess the potential to capture consumers by emphasising the vital role of women across diverse life domains.While television commercials are primarily meant to promote products, they increasingly portray progressive images of women and convey messages that foster liberal perceptions and acceptance of gender equality. Such representations can influence social and psychological perceptions and consumers' brand preferences. This growing affinity for gender equality, reflected in these advertisements, contributes to the broader acceptance of these principles within society.Employing the snowball sampling technique for data collection, this study was initiated with a small group of participants in select capital cities of South Indian states, who then recruited additional individuals from their social networks to take part in the survey The research investigates the evolving attitudes of Generation Z towards pro-female advertising across the capital cities of five southern Indian states: Amaravati, Bengaluru, Chennai, Hyderabad, and Thiruvananthapuram. It evaluates shifts in attitudes and purchase intentions by employing Ostrom's ABC Model of Attitude (1969) to examine emotional, behavioural and cognitive changes resulting from exposure to pro-female advertising.

Tradisional ABC Lima Dasar pada Pembelajaran PAI di SMK Al-Fudlola’ Porong Sidoarjo

This research and development aims to produce a learning model based on the traditional ABC Lima Dasar games that is effective and feasible for PAI learning at Al-Fudlola' Porong Sidoarjo Vocational School . This model was developed through a Research and Development (R&D) approach using the 4D development model, namely define, design stage, develop stage, disseminate stage. Data collection techniques use observation, interviews, and questionnaires. The game-based learning model as a learning model provides opportunities for students to interact, collaborate and explore actively in PAI learning. The results found that the Five Basic ABC learning model had a positive impact on students' cognitive, spiritual, emotional, language and socio-cultural abilities. The research results show students' positive response to this learning, describing the Five Basic ABC model as an effective, innovative alternative in PAI learning at Al-Fudlola' Porong Sidoarjo Vocational School.

A new activity coefficient model for describing adsorbed phase nonidealities

The following study introduces a new adsorbed phase activity coefficient model, the SPLINT model, for describing nonideal multicomponent systems. The derivation is presented and simplification to the thermodynamically robust ABC model in the low‑coverage limit is shown. Both the SPLINT and ABC models are fit to 25 binary systems. Thermodynamic consistency of the data is established through multiple consistency tests including the intersection rule, closed‑loop reduced spreading pressure integration, the Gibbs‑Duhem integral equality, and alignment of pure and binary data. Regressed parameters are used in Real Adsorbed Solution Theory to predict both binary and ternary adsorption. The ABC and SPLINT models accurately describe systems with considerable nonideality when the activity coefficients are symmetric; however, the SPLINT model is required for accurate description of systems with complex, asymmetric activity coefficient behavior. The new model includes one more fitting parameter than the ABC model for a single binary system, but less across multiple data sets and higher‑order systems due to the theoretical basis. The importance of capturing activity coefficient asymmetry is demonstrated with a highly nonideal system across various pressures and temperatures measured by the present authors using the Integral Mass Balance method with HFC‑125 (pentafluoroethane), HFC‑32 (difluoromethane), and zeolite H‑ZSM‑5. The theoretical basis of the SPLINT model is further enforced by presenting two methods for predicting activity coefficients with the SPLINT model: correlating the fitting parameters individually and simultaneously regressing pure isosteric heat data to extract SPLINT fitting parameters. The study concludes with a discussion of pure and binary HFC‑125/HFC‑32 data with zeolite H‑ZSM‑5. A possible binary adsorption mechanism is proposed based on isosteric heat and excess enthalpy predictions and observed system irreversibility.

P‐156: Efficiency Improvement Mechanism Analysis of Sidewall Passivation GaN based Micro‐LEDs by Atomic Layer Deposition

Sidewall passivation using atomic layer deposition (ALD) can efficiently improve external quantum efficiency (EQE). Such treatment increases EQE, a combination of internal quantum efficiency (IQE) and light extraction efficiency (LEE), primarily by curtailing surface recombination according to the ABC model. Determined by the ratio of radiative recombination rate to total recombination rate, the IQE of an LED holds a significant correlation with the diode's ideality factor in the Shockley model. In this paper, we analysis the mechanism of ALD sidewall passivation enhancing device performance in detail from the aspects of electrical performance improvement and optical performance improvement.

Evaluation of final-year nursing students' attitudes towards preventing medical device‐related pressure ulcers using a ABC model of affect, behavior and cognitive dimensions

IntroductionHalf of the hospital-acquired pressure ulcers are associated with the use of medical devices. Nursing students provide care services to patients in clinical settings and intensive care units who have or are at risk for medical device-related pressure ulcers (MDRPUs). In the prevention and care of MDRPUs, the attitudes of nursing students towards preventing of pressure ulcers are as crucial as their knowledge level and clinical skills. AimThe aim of this descriptive study is to assess the attitudes of final-year nursing undergraduate students towards preventing MDRPUs across cognitive, affective, and behavioral dimensions of ABC model. Materials and methodsData of the study was handed between April 1 and December 31, 2021, with 147 final-year nursing students. Data were collected using the Student Information Form and the Attitude Towards Preventing Medical Device-Related Pressure Ulcers Questionnaire (ATP-MDRPUsQ). ResultsThe mean attitude score towards preventing MDRPUs was 3.98 ± 0.45 on a 5-point Likert scale. The mean scores for the cognitive, affective, and behavioral sub-dimensions were 3.88 ± 0.57, 4.15 ± 0.51, and 4.00 ± 0.672, respectively. A moderate positive relationship was found between the cognitive sub-dimension and both the affective and behavioral sub-dimensions (r = 0.451; r = 0.302; p < 0.01, respectively). Based on cluster analysis, the mean attitude scores of students towards MDRPU prevention were grouped into two clusters. The students in Cluster-2 and female students had higher mean attitude scores (p < 0.01). The item with the lowest mean score in the questionnaire pertained to the item, "I believe that I need training on the etiology and prevention of medical device-related pressure ulcers." ConclusionThe general attitudes of final-year nursing students towards prevention MDRPU were satisfactory. However, their cognitive attitudes were less positive compared to their affective and behavioral attitudes. It is recommended to incorporate theoretical and practical courses focusing on the prevention of these injuries into nursing curricula to enhance students' knowledge and attitudes.

Recent advances in micro-pixel light emitting diode technology

Display technology has developed rapidly in recent years, with III–V system-based micro-light-emitting diodes (μLEDs) attracting attention as a means to overcome the physical limitations of current display systems related to their lifetime, brightness, contrast ratio, response time, and pixel size. However, for μLED displays to be successfully commercialized, their technical shortcomings need to be addressed. This review comprehensively discusses important issues associated with μLEDs, including the use of the ABC model for interpreting their behavior, size-dependent degradation mechanisms, methods for improving their efficiency, novel epitaxial structures, the development of red μLEDs, advanced transfer techniques for production, and the detection and repair of defects. Finally, industrial efforts to commercialize μLED displays are summarized. This review thus provides important insights into the potential realization of next-generation display systems based on μLEDs.

Optical analysis of III-nitride micro-light-emitting diodes with different sidewall treatments at low current density operation

In this work, the optical efficiency of III-nitride blue micro-LEDs (μLEDs) ranged from 5 × 5 to 60 × 60 μm2 with different sidewall treatments at low current density range was investigated. The results showed dielectric sidewall passivation using atomic layer deposition (ALD) has superior optical enhancement compared to conventional RF sputtering, where most of the enhancement occurred at low current density range. Additionally, the use of ALD sidewall passivation and chemical treatment offered significant efficiency improvement for different sizes of μLEDs at operating less than 1 A cm−2 and the devices without sidewall treatments did not emit light. The effect of sidewall treatments to the effective Shockley–Read–Hall (SRH) nonradiative recombination coefficient, or the effective A coefficient from the ABC model, was estimated. The effective SRH nonradiative recombination coefficient was suppressed by two orders of magnitude for devices with sidewall treatments compared to devices without sidewall passivation.

Variable-Dependent and Selective Multivariate Localization for Ensemble–Variational Data Assimilation in the Tropics

Abstract Two aspects of ensemble localization for data assimilation are explored using the simplified nonhydrostatic ABC model in a tropical setting. The first aspect (i) is the ability to prescribe different localization length scales for different variables (variable-dependent localization). The second aspect (ii) is the ability to control (i.e., to knock out by localization) multivariate error covariances (selective multivariate localization). These aspects are explored in order to shed light on the cross-covariances that are important in the tropics and to help determine the most appropriate localization configuration for a tropical ensemble–variational (EnVar) data assimilation system. Two localization schemes are implemented within the EnVar framework to achieve (i) and (ii). One is called the isolated variable-dependent localization (IVDL) scheme and the other is called the symmetric variable-dependent localization (SVDL) scheme. Multicycle observation system simulation experiments are conducted using IVDL or SVDL mainly with a 100-member ensemble, although other ensemble sizes are studied (between 10 and 1000 members). The results reveal that selective multivariate localization can reduce the cycle-averaged root-mean-square error (RMSE) in the experiments when cross-covariances associated with hydrostatic balance are retained and when zonal wind/mass error cross-covariances are knocked out. When variable-dependent horizontal and vertical localization are incrementally introduced, the cycle-averaged RMSE is further reduced. Overall, the best performing experiment using both variable-dependent and selective multivariate localization leads to a 3%–4% reduction in cycle-averaged RMSE compared to the traditional EnVar experiment. These results may inform the possible improvements to existing tropical numerical weather prediction systems that use EnVar data assimilation.

Adsorption isotherm of building materials at different temperatures: A review and measurement

The temperature dependency of the adsorption isotherm renders its significance as one of the primary input parameters in models dealing with moisture transport. The present study involved the determination of the adsorption isotherm of sixteen building materials from various categories, including cladding, building paper, wood, sheathing boards, and insulations. The measurements were conducted under nine climatic conditions, a combination of three temperatures (3 °C (37.4 °F), 21 °C (69.8 °F), 45 °C (113 °F)) and three relative humidity levels (50%, 70%, 90%). The study indicated that relative humidity increased the building materials’ equilibrium moisture content (EMC). In opposition, an increase in temperature decreased the EMC of the tested materials. It was discovered that cellulose fiber and wood-based materials had a greater capacity to store moisture than others. Conversely, the minimum moisture content was observed in brick, Densglass gold gypsum, and EPS products. Furthermore, we used the ABC model as an adaptable mathematical equation for a novel nonlinear surface fitting of adsorption isotherms of tested materials to make optimal use of the experimental data and effectively analyze the simultaneous impact of all temperatures and relative humidities. Tested against the measured experimental data, we obtained the best R-squared values from the second-order polynomial Equation.

Abstract 3913: Molecular mechanism of action and targets of glucocorticoids in lymphoma therapy

Abstract Prednisone is an anti-inflammatory glucocorticoid (GC) that is cytotoxic for normal and malignant B cells and, on this basis, has long been included in combination chemotherapies to treat aggressive B-cell lymphomas. However, the mechanisms by which GCs kill malignant lymphoma cells still largely remains elusive due to the pleiotropic consequences of GC binding to the glucocorticoid receptor (GR; NR3C1), a ligand-induced transcription factor. This prompted us to search for critical direct targets of GC action with the hypothesis that GCs may inhibit key survival pathways in lymphomas. To determine effector genes that increase glucocorticoid toxicity, we performed genome-wide CRISPR-Cas9 screens in the presence and absence of prednisolone. Screens in cell line models of Burkitt lymphoma (BL) and diffuse large B cell lymphoma (DLBCL) revealed strong synergy between GC treatment and inactivation of genes encoding components of the B cell receptor (BCR) signaling pathway (≥2 SD). To identify direct transcriptional GR targets and binding sites genome-wide, we performed the cleavage under targets and release using nuclease (CUT&amp;RUN) assay and integrated this dataset with RNA-seq upon GC treatment. The pairwise comparison analysis (p&amp;lt;0.05) for GR-bound genes across BL and DLBCL cell lines revealed a significant enrichment of negative regulators of BCR/PI3K signaling and BCR-related tumor suppressors (LAPTM5, KLHL14, ARID5B, DDIT4, DAPP1, INPP5D, and CSK). Interestingly, expression of CSK, an inhibitor of all Src-family kinases (SFKs), was repressed while that of other BCR negative regulators were directly activated by binding of GR. Combinatorial deletion of activated genes counteracted the toxicity of GC up to 83.9%. In contrast, depletion of CSK paradoxically increased the cytotoxic effects of GC in BCR-dependent aggressive lymphoma with decreased proximal BCR signaling. To gain further insights on CSK function in aggressive lymphomas, we performed phospho-proteome and ubiquitinome profiling by treating lymphoma models with a small molecule inhibitor of CSK kinase activity (CSKi). The CSKi treatment initially increased constitutive BCR signaling, as expected, but then triggered exuberant ubiquitination of the LYN, HCK and BLK, leading to their proteasomal degradation. Consequently, the CSKi blocked BCR-dependent NF-κB activation in ABC DLBCL models and BCR-dependent PI3 kinase activation in models of GCB DLBCL and BL. In summary, inhibition of oncogenic BCR signaling is a major mode of action for GCs. Furthermore, small molecule inhibition of CSK kinase activity potentiated the effect of GCs on oncogenic BCR signaling and strongly synergized with GCs in killing ABC and GCB DLBCL models in vitro and preventing the growth of ABC and GCB DLBCL and patient-derived xenografts, warranting the development of clinical-grade CSK inhibitors for the treatment of these aggressive cancers. Citation Format: Jaewoo Choi, Michele Ceribelli, James D. Phelan, Björn Häupl, Da Wei Huang, George W. Wright, Tony Hsiao, Vivian Morris, Francesco Ciccarese, Boya Wang, Sean Corcoran, Sebastian Scheich, Xin Yu, Weihong Xu, Yandan Yang, Hong Zhao, Joyce Zhou, Grace Zhang, Jagan Muppidi, Giorgio Ga Inghirami, Thomas Oellerich, Craig J. Thomas, Wyndham H. Wilson, Louis M. Staudt. Molecular mechanism of action and targets of glucocorticoids in lymphoma therapy [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 3913.