bluuebunny/crossref_metadata_2025_split huggingface dataset:
The structural evolution of temporal hypergraphs through the lens of hyper-cores
Authors: Mancastroppa Marco , Iacopini Iacopo , Petri Giovanni , Barrat Alain 
Published: July 2024

AbstractThe richness of many complex systems stems from the interactions among their components. The higher-order nature of these interactions, involving many units at once, and their temporal dynamics constitute crucial properties that shape the behaviour of the system itself. An adequate description of these systems is offered by temporal hypergraphs, that integrate these features within the same framework. However, tools for their temporal and topological characterization are still scarce. Here we develop a series of methods specifically designed to analyse the structural properties of temporal hypergraphs at multiple scales. Leveraging the hyper-core decomposition of hypergraphs, we follow the evolution of the hyper-cores through time, characterizing the hypergraph structure and its temporal dynamics at different topological scales, and quantifying the multi-scale structural stability of the system. We also define two static hypercoreness centrality measures that provide an overall description of the nodes aggregated structural behaviour. We apply the characterization methods to several data sets, establishing connections between structural properties and specific activities within the systems. Finally, we show how the proposed method can be used as a model-validation tool for synthetic temporal hypergraphs, distinguishing the higher-order structures and dynamics generated by different models from the empirical ones, and thus identifying the essential model mechanisms to reproduce the empirical hypergraph structure and evolution. Our work opens several research directions, from the understanding of dynamic processes on temporal higher-order networks to the design of new models of time-varying hypergraphs.
Top-philic machine learning
Authors: Barman Rahool Kumar , Biswas Sumit 
Published: July 2024

AbstractIn this article, we review the application of modern machine learning (ML) techniques to boost the search for processes involving the top quarks at the LHC. We revisit the formalism of convolutional Neural networks (CNNs), graph neural networks (GNNs), and attention mechanisms. Based on recent studies, we explore their applications in designing improved top taggers, top reconstruction, and event classification tasks. We also examine the ML-based likelihood-free inference approach and generative unfolding models, focusing on their applications to scenarios involving top quarks.
CDK9 Inhibition by Dinaciclib Is a Therapeutic Vulnerability in Epithelioid Hemangioendothelioma
Authors: Pobbati Ajaybabu V. , Burtscher Ashley , Rajaram Siva Nandini , Hallett Andrea , Romigh Todd , Che Kepeng , Zhao Bin , Coker Jesse A. , Wang Nancy , Stauffer Shaun R. , Rubin Brian P. 
Published: July 2024

Abstract

Purpose:
There are no effective treatment options for patients with aggressive epithelioid hemangioendothelioma (EHE) driven by the TAZ–CAMTA1 (TC) fusion gene. Here, we aimed to understand the regulation of TC using pharmacologic tools and identify vulnerabilities that can potentially be exploited for the treatment of EHE.

Experimental Design:
TC is a transcriptional coregulator; we hypothesized that compounds that reduce TC nuclear levels, either through translocation of TC to the cytoplasm, or through degradation, would render TC less oncogenic. TC localization was monitored using immunofluorescence in an EHE tumor cell line. Two target-selective libraries were used to identify small molecules that reduce TC localization in the nucleus. The ability of the shortlisted hits to affect cell viability, apoptosis, and tumorigenesis was also evaluated.

Results:
Basal TC remained “immobile” in the nucleus; administration of cyclin-dependent kinase (CDK) inhibitors such as CGP60474 and dinaciclib (Dina) mobilized TC. “Mobile” TC shuttled between the nucleus and cytoplasm; however, it was eventually degraded through proteasomes. This dramatically suppressed the levels of TC-regulated transcripts and cell viability, promoted apoptosis, and reduced the area of metastatic lesions in the allograft model of EHE. We specifically identified that the inhibition of CDK9, a transcriptional CDK, destabilizes TC.

Conclusions:
The CDK inhibitor Dina exhibited antitumorigenic properties both in vitro and in vivo in EHE models. Dina has been rigorously tested in clinical trials and displayed an acceptable toxicity profile. Therefore, there is a potential therapeutic window for repurposing Dina for the treatment of EHE.
Machine Learning–Directed Conversion of Glioblastoma Cells to Dendritic Cell–Like Antigen-Presenting Cells as Cancer Immunotherapy
Authors: Liu Tianyi , Jin Dan , Le Son B. , Chen Dongjiang , Sebastian Mathew , Riva Alberto , Liu Ruixuan , Tran David D. 
Published: July 2024

Abstract
Immunotherapy has limited efficacy in glioblastoma (GBM) due to the blood–brain barrier and the immunosuppressed or “cold” tumor microenvironment (TME) of GBM, which is dominated by immune-inhibitory cells and depleted of CTL and dendritic cells (DC). Here, we report the development and application of a machine learning precision method to identify cell fate determinants (CFD) that specifically reprogram GBM cells into induced antigen-presenting cells with DC-like functions (iDC-APC). In murine GBM models, iDC-APCs acquired DC-like morphology, regulatory gene expression profile, and functions comparable to natural DCs. Among these acquired functions were phagocytosis, direct presentation of endogenous antigens, and cross-presentation of exogenous antigens. The latter endowed the iDC-APCs with the ability to prime naïve CD8+ CTLs, a hallmark DC function critical for antitumor immunity. Intratumor iDC-APCs reduced tumor growth and improved survival only in immunocompetent animals, which coincided with extensive infiltration of CD4+ T cells and activated CD8+ CTLs in the TME. The reactivated TME synergized with an intratumor soluble PD1 decoy immunotherapy and a DC-based GBM vaccine, resulting in robust killing of highly resistant GBM cells by tumor-specific CD8+ CTLs and significantly extended survival. Lastly, we defined a unique CFD combination specifically for the human GBM to iDC-APC conversion of both glioma stem-like cells and non–stem-like cell GBM cells, confirming the clinical utility of a computationally directed, tumor-specific conversion immunotherapy for GBM and potentially other solid tumors.
Evaluation of Ablation Parameters to Predict Irreversible Lesion Size During Pulsed Field Ablation
Authors: Nakagawa Hiroshi , Farshchi-Heydari Salman , Maffre Jennifer , Sharma Tushar , Govari Assaf , Beeckler Christopher T. , Altmann Andres , Ikeda Atsushi , Sugawara Masafumi , Jackman Warren M. , Hussein Ayman A. , Nakhla Shady , Santangeli Pasquale , Saliba Walid I. , Wazni Oussama M. 
Published: July 2024

BACKGROUND:
During pulsed field ablation (PFA), relationships between ablation parameters (contact force [CF], number of burst pulses, impedance decrease, and electrode temperature) and lesion size in beating hearts have not been well validated.

METHODS:

A 7.5F-catheter with a 3.5-mm ablation electrode and CF sensor (ThermoCool SmartTouch SF-Dual-Energy, Biosense Webster, Inc, Irwindale, CA) was connected to a PFA system (TRUPULSE2, Biosense Webster, Inc). In 11 closed-chest swine, biphasic PFA current was delivered between the ablation electrode and the skin patch at 219 sites in left ventricle and right ventricle using 12, 18, and 24 burst pulses with 4 different levels of CF: (1) low (n=57; CF, 4–15
g
; median, 10
g
); (2) moderate (n=60; CF, 16–30
g
; median, 22.5
g
); (3) high (n=68; CF, 32–65
g
; median, 40
g
); and (4) no electrode contact (n=34), 2 mm away from the endocardium. Swine were euthanized 2 hours after ablation, and lesion size was measured using triphenyl tetrazolium chloride staining.

RESULTS:

All PFA lesions with electrode-myocardium contact were well demarcated with triphenyl tetrazolium chloride staining, demonstrating (1) pale central zone (contraction band necrosis with minimal coagulation necrosis), (2) dark brown zone (contraction band necrosis with hemorrhage), and (3) hyperstained red zone by triphenyl tetrazolium chloride (unaffected normal myocardium with preserved mitochondrial activity, consistent with reversible zone). Lesion depth increased significantly with increasing CF and the number of PFA burst pulses. An exponential/logarithmic formula combined with CF and the number of PFA burst pulses correlated lesion depth with high accuracy: R=0.809,
P
<0.0001, ±1.0-mm accuracy in 128 of 163 (79%) lesions, and ±1.5-mm accuracy in 153 of 163 (94%) lesions. Impedance decrease and electrode temperature were poor predictors of lesion size. There were no detectable lesions resulting from ablation without electrode contact.

CONCLUSIONS:
Acute PFA ventricular lesions demonstrate irreversible and reversible lesion boundaries. Electrode-tissue contact is required for effective lesion formation. Lesion depth increases significantly with increasing CF and PFA burst pulses. A new exponential/logarithmic formula combined with CF and the number of PFA burst pulses correlates lesion depth with high accuracy.
Research on Quality Control Method of Surface Temperature Observations for Complex Physical Geography
Authors: Xiong Xiong , Zhongbao Jiang , Hongsheng Tang , Ran An , Yuzhu Liu , Xiaoling Ye 
Published: July 2024

Abstract
This article aims to improve the quality control (QC) of surface daily temperature observations over complex physical geography. A new QC method based on multiverse optimization algorithm, variational mode decomposition, and kernel extreme learning machine (MVO–VMD–KELM) was eomployed to identify potential outliers. For the selected six regions with complex physical geography, the inverse distance weighting (IDW), the spatial regression test (SRT), KELM, and the empirical mode decomposition improved KELM (EMD–KELM) methods were employed to test the proposed method. The results indicate that the MVO–VMD–KELM method outperformed other methods in all the cases. The MVO–VMD–KELM method yielded better mean absolute error (MAE), root-mean-square error (RMSE), index of agreement (IOA), and Nash–Sutcliffe model efficiency coefficient (NSC) values than others via the analysis of evaluation metrics for different cases. The comparison results led to the recommendation that the proposed method is an effective quality control method in identifying the seeded errors for the surface daily temperature observations.
“For Whom” and “Under What Conditions” Is MSBI Effective? A Conceptual Replication With High School Students With Autism
Authors: Cox Sarah K. , Root Jenny R. , McConomy Addie , Davis Kathryn 
Published: July 2024

Replications provide credibility by demonstrating under what conditions experimental findings can be repeated, the premise behind evidence-based practices. Replications in single-case research also investigate generalization of findings across groups. For groups with high variability, such as individuals with autism, assumptions of generalizability should be based on learners who are similar in critical ways. The purpose of this study was to use Coyne et al.'s framework for replication and the next generation guidelines for single-case research to extend understanding of “for whom” and “under what conditions” modified schema-based instruction (an established evidence-based practice for individuals with autism) is effective. In this distal conceptual replication of Root et al., contextual and instructional variables of theoretical and practical importance were intentionally manipulated or maintained and reported to model transparency and support replicability. Four high school students receiving special education under the Individuals With Disabilities Education Act category of autism were taught mathematical and social problem-solving behaviors within the context of percentage-of-change word problems. Researchers used modified schema-based instruction and augmented reality in a one-on-one setting and assessed generalization to purchasing in the food court of a mall biweekly. We frame our discussion around the recommendations for replication research from Coyne et al. and recommendations for single-case research from Ledford et al., concluding with suggestions for future replications that use single-case research designs.
How culture affects the way in which psychopathologies manifest in behavior: The case of Confucianism in China
Authors: Colzato Lorenza , Zhang Liang , Zhang Wenxin , Beste Christian , Hommel Bernhard , Roessner Veit 
Published: July 2024

Background: Internalizing disorders in children and adolescents are about as frequent as externalizing disorders in the US, but three times more prevalent than externalizing disorders in China. Aims: To examine why and how mental predispositions and stress lead to psychopathology in general and manifest as internalizing or externalizing problems in particular, and which role intercultural differences may play in understanding this. Method: A review of the literature. Results/conclusions: The interplay of personal freedom and societal duties in an individual’s development crucially influences whether psychopathologies appear as externalizing or internalizing issues. Eastern and especially Chinese cultures have long favored societal obligations over individual autonomy, guided by Confucian principles, promoting internalization over externalization. Understanding culture’s role in behavior can improve mental healthcare by fostering tailored, culturally informed interventions for children and adolescents.
Resilience, avoidant coping and post-traumatic stress symptoms among female Ukrainian refugees and internally displaced people
Authors: Khailenko Olena , Bacon Alison M 
Published: July 2024

Background: Since the Russian full-scale invasion of Ukraine, over 10 million Ukrainians have been displaced from their homes. This has contributed to an increase in post-traumatic stress (PTS) symptoms in both refugees and internally displaced persons (IDPs). Previous research has suggested that refugees may experience higher levels of PTS due to additional stressors inherent in migration to a new country, language barriers and separation from family and social support. PTS symptoms may also be exacerbated by avoidant coping which we proposed would be more prevalent amongst refugees because of the isolating effects of migration-related stressors. Aims: The present study aimed to investigate the relationship between PTS symptoms, resilience and avoidant coping in refugees and IDPs. We predicted that refugees would report higher levels of PTS symptoms and use of avoidant coping strategies, and that avoidant coping would mediate the effect of resilience on PTS symptoms. We tested a moderated mediation model to examine whether this effect differed between IDPs and refugees. Methods: A total of 229 women (108 IDPs and 121 refugees), who were displaced after the full-scale invasion, were recruited using online platforms and volunteering centres. They completed an online questionnaire comprising measures of PTS, resilience and coping. Results: We found no significant differences in resilience, PTS symptoms or reported use of avoidance coping strategies between refugees and IDPs. As expected, avoidance coping mediated the negative association between resilience and PTS symptoms, but no group differences in this effect were observed. Conclusions: Contrary to previous research, our findings indicate that PTS symptoms may be similarly problematic for refugees and IDPs. This may be due to increased time since the invasion as many refugees may have had time to adjust. Use of avoidant coping strategies may exacerbate PTS symptoms and our study highlights the need for mental health interventions aimed at reducing PTS symptoms in Ukrainian IDPs and refugees through fostering resilience and adaptive coping strategies.
Board gender diversity in municipally owned corporations: A resource dependence perspective
Authors: Andrews Rhys 
Published: July 2024

The increasing use of municipally owned corporations (MOCs) to provide vital public services has drawn attention to the representation of women on MOC boards of directors. Resource dependency theory suggests that board composition is likely to be shaped by linkages to critical resources within an organization's environment. This paper presents an analysis of the organizational determinants of board gender diversity in 802 MOCs in England and Wales for the period 2009–2019. The findings suggest that public ownership, nonprofit legal form, board size and a human services focus are positively related to board gender diversity, but that inter-municipal ownership and a technical services focus are all negatively related to such diversity. The findings highlight the impact that organizational characteristics associated with critical resource dependencies can have on gender equality (GE) in corporatized public services. Points for practitioners Evidence on the determinants of gender board diversity in MOCs can help policy-makers to understand the role that organizational characteristics play in shaping GE within corporatized public services. This paper highlights that the ownership structure, board size and legal form of MOCs all affect the prevalence of women directors on MOC boards. It is also important to recognize how service area can influence GE on MOC boards.
Metformin exposure and the incidence of lactic acidosis in critically ill patients with T2DM: A retrospective cohort study
Authors: Tong Jingkai , Li Xin , Liu Tong , Liu Ming 
Published: July 2024

Objective: The objective of this study was to investigate the correlation between metformin exposure and the incidence of lactic acidosis in critically ill patients. Methods: The patients with type 2 diabetes mellitus (T2DM) were included from Medical Information Mart for Intensive Care IV database (MIMIC-IV). The primary outcome was the incidence of lactic acidosis. The secondary outcomes were lactate level and in-hospital mortality. Propensity score matching (PSM) method was adopted to reduce bias of the confounders. The multivariate logistic regression was used to explore the correlation between metformin exposure and the incidence of lactic acidosis. Subgroup analysis and sensitivity analysis were used to test the stability of the conclusion. Results: We included 4939 patients. There were 2070 patients in the metformin group, and 2869 patients in the nonmetformin group. The frequency of lactic acidosis was 5.7% (118/2070) in the metformin group and it was 4.3% (122/2869) in the nonmetformin group. There was a statistically significant difference between the two groups ( P < 0.05). The lactate level in the metformin group was higher than in the nonmetformin group (2.78 ± 2.23 vs. 2.45 ± 2.24, P < 0.001). After PSM, the frequency of lactic acidosis (6.3% vs. 3.7%, P < 0.001) and lactate level (2.85 ± 2.38 vs. 2.40 ± 2.14, P < 0.001) were significantly higher in the metformin group compared with the nonmetformin group. In multivariate logistic models, the frequency of lactic acidosis was obviously increased in metformin group, and the adjusted odds ratio ( OR) of metformin exposure was 1.852 ( 95% confidence interval (CI) = 1.298–2.643, P < 0.001). The results were consistent with subgroup analysis except for respiratory failure subgroup. Metformin exposure increased lactate level but did not affect the frequency of lactic acidosis in patients of respiratory failure with hypercapnia. However, the in-hospital mortality between metformin and nonmetformin group had no obvious difference ( P = 0.215). In sensitivity analysis, metformin exposure showed similar effect as the original cohort. Conclusions: In critically ill patients with T2DM, metformin exposure elevated the incidence of lactic acidosis except for patients of respiratory failure with hypercapnia, but did not affect the in-hospital mortality.
“A National Review of Crowdfunding for Plagiocephaly Helmets”
Authors: Podszus B. , Pham J. , Dopson E. , Trivedi S. , Yu V. , Guo Y. 
Published: July 2024

Objective Custom prescription helmets for plagiocephaly may be a significant financial burden for families, especially when not covered by insurance. This study aims to identify factors that influence the success of crowdsourcing campaigns for this therapy. Design GoFundMe campaigns were collected by searching terms such as “plagiocephaly” and “baby helmet.” Two reviewers analyzed each campaign for variables, including demographic data, story elements, and photo characteristics. Univariate logistic regression was used to determine each variable's impact on success, defined as attaining ≥75% of a campaign goal and significance of p ≤ 0.05. Results Campaign data from 2011 to 2022 were analyzed. Initial search yielded 1464 campaigns; among these 413 met final inclusion criteria. On average, campaigns raised $2005 (range: $0-$7799) and requested $3151 (range: $160-$30,000). In total, 228 (54%) achieved success, 167 (40%) met their goal, and 35 (8%) raised no funds. A total of $828,256 was raised from the requested $1,301,317. The average reported age was six months (range: 2–17 m). Significant factors associated with success were military affiliation, providing multiple images, including a quoted cost, providing campaign updates, indicating a sense of urgency, diagnosis of torticollis, and mentioning possible complications without treatment. Raising additional funds for therapy, multiple helmets, and unrelated medical costs negatively impacted success. Racial disparities were observed between campaigns. Additionally, regional differences were noted between campaigns. Conclusions Crowdsourcing can be a successful endeavor for some families experiencing financial hardships from helmet therapy. This study highlights current gaps within healthcare coverage for helmet treatment and identifies various factors influencing crowdfunding campaigns.
Assessing Safety of Anticoagulation for Atrial Fibrillation in Patients with Cirrhosis: A Real-World Outcomes Study
Authors: Song Justin J. , Jackson Nicholas J. , Shang Helen , Honda Henry M. , Boulier Kristin 
Published: July 2024

Aims In patients with atrial fibrillation (AF) and stroke risk factors, randomized trials have demonstrated that anticoagulation decreases the risk of ischemic stroke. However, all trials to date have excluded patients with significant liver disease, leaving guidelines to extrapolate recommendations. We aim to evaluate the impact of anticoagulation on safety events in patients with AF and cirrhosis. Methods and Results In this retrospective cohort study, we obtained de-identified health record data to extract anticoagulation strategy, comorbidities, prescriptions, lab values, and procedures for a cohort of patients with cirrhosis who develop AF. After selecting a propensity matched population to match patients with various anticoagulation strategies, we tracked data on outcomes for death, transfusion requirements, hospital and ICU admissions. After propensity score weighting and multivariable adjustment, anticoagulation strategy was associated with increased hospital admission count (OR = 1.74 per admission, P < .001), binary risk of hospital admission (OR = 1.54, P = .010) and risk of ICU admission (OR = 1.41, P = .047). We detected no significant differences in mortality, transfusion of blood products, or average length of stay. Direct oral anticoagulant (DOAC) prescriptions were associated with increased binary risk of hospital admission compared to warfarin prescriptions. In a third comparison, DOAC strategy alone was associated with increased hospital admission count (OR = 1.41 per admission, P < .001) and binary risk of hospital admission (OR = 1.52, P = .038) compared to no anticoagulation strategy. Conclusion Anticoagulation strategy in patients with cirrhosis and AF was associated with increased rate of hospital admission and ICU admission but not associated with increased risk of mortality or transfusion requirement.